## Free Statistics

of Irreproducible Research!

Author's title
Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationFri, 02 Nov 2012 08:06:37 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Nov/02/t1351858096ke7ymj45rbi818c.htm/, Retrieved Mon, 27 Jun 2022 05:48:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=185605, Retrieved Mon, 27 Jun 2022 05:48:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact120
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
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Dataseries X:
87.28	255
87.28	280.2
87.09	299.9
86.92	339.2
87.59	374.2
90.72	393.5
90.69	389.2
90.3	381.7
89.55	375.2
88.94	369
88.41	357.4
87.82	352.1
87.07	346.5
86.82	342.9
86.4	340.3
86.02	328.3
85.66	322.9
85.32	314.3
85	308.9
84.67	294
83.94	285.6
82.83	281.2
81.95	280.3
81.19	278.8
80.48	274.5
78.86	270.4
69.47	263.4
68.77	259.9
70.06	258
73.95	262.7
75.8	284.7
77.79	311.3
81.57	322.1
83.07	327
84.34	331.3
85.1	333.3
85.25	321.4
84.26	327
83.63	320
86.44	314.7
85.3	316.7
84.1	314.4
83.36	321.3
82.48	318.2
81.58	307.2
80.47	301.3
79.34	287.5
82.13	277.7
81.69	274.4
80.7	258.8
79.88	253.3
79.16	251
78.38	248.4
77.42	249.5
76.47	246.1
75.46	244.5
74.48	243.6
78.27	244
80.7	240.8
79.91	249.8
78.75	248
77.78	259.4
81.14	260.5
81.08	260.8
80.03	261.3
78.91	259.5
78.01	256.6
76.9	257.9
75.97	256.5
81.93	254.2
80.27	253.3
78.67	253.8
77.42	255.5
76.16	257.1
74.7	257.3
76.39	253.2
76.04	252.8
74.65	252
73.29	250.7
71.79	252.2
74.39	250
74.91	251
74.54	253.4
73.08	251.2
72.75	255.6
71.32	261.1
70.38	258.9
70.35	259.9
70.01	261.2
69.36	264.7
67.77	267.1
69.26	266.4
69.8	267.7
68.38	268.6
67.62	267.5
68.39	268.5
66.95	268.5
65.21	270.5
66.64	270.9
63.45	270.1
60.66	269.3
62.34	269.8
60.32	270.1
58.64	264.9
60.46	263.7
58.59	264.8
61.87	263.7
61.85	255.9
67.44	276.2
77.06	360.1
91.74	380.5
93.15	373.7
94.15	369.8
93.11	366.6
91.51	359.3
89.96	345.8
88.16	326.2
86.98	324.5
88.03	328.1
86.24	327.5
84.65	324.4
83.23	316.5
81.7	310.9
80.25	301.5
78.8	291.7
77.51	290.4
76.2	287.4
75.04	277.7
74	281.6
75.49	288
77.14	276
76.15	272.9
76.27	283
78.19	283.3
76.49	276.8
77.31	284.5
76.65	282.7
74.99	281.2
73.51	287.4
72.07	283.1
70.59	284
71.96	285.5
76.29	289.2
74.86	292.5
74.93	296.4
71.9	305.2
71.01	303.9
77.47	311.5
75.78	316.3
76.6	316.7
76.07	322.5
74.57	317.1
73.02	309.8
72.65	303.8
73.16	290.3
71.53	293.7
69.78	291.7
67.98	296.5
69.96	289.1
72.16	288.5
70.47	293.8
68.86	297.7
67.37	305.4
65.87	302.7
72.16	302.5
71.34	303
69.93	294.5
68.44	294.1
67.16	294.5
66.01	297.1
67.25	289.4
70.91	292.4
69.75	287.9
68.59	286.6
67.48	280.5
66.31	272.4
64.81	269.2
66.58	270.6
65.97	267.3
64.7	262.5
64.7	266.8
60.94	268.8
59.08	263.1
58.42	261.2
57.77	266
57.11	262.5
53.31	265.2
49.96	261.3
49.4	253.7
48.84	249.2
48.3	239.1
47.74	236.4
47.24	235.2
46.76	245.2
46.29	246.2
48.9	247.7
49.23	251.4
48.53	253.3
48.03	254.8
54.34	250
53.79	249.3
53.24	241.5
52.96	243.3
52.17	248
51.7	253
58.55	252.9
78.2	251.5
77.03	251.6
76.19	253.5
77.15	259.8
75.87	334.1
95.47	448
109.67	445.8
112.28	445
112.01	448.2
107.93	438.2
105.96	439.8
105.06	423.4
102.98	410.8
102.2	408.4
105.23	406.7
101.85	405.9
99.89	402.7
96.23	405.1
94.76	399.6
91.51	386.5
91.63	381.4
91.54	375.2
85.23	357.7
87.83	359
87.38	355
84.44	352.7
85.19	344.4
84.03	343.8
86.73	338
102.52	339
104.45	333.3
106.98	334.4
107.02	328.3
99.26	330.7
94.45	330
113.44	331.6
157.33	351.2
147.38	389.4
171.89	410.9
171.95	442.8
132.71	462.8
126.02	466.9
121.18	461.7
115.45	439.2
110.48	430.3
117.85	416.1
117.63	402.5
124.65	397.3
109.59	403.3
111.27	395.9
99.78	387.8
98.21	378.6
99.2	377.1
97.97	370.4
89.55	362
87.91	350.3
93.34	348.2
94.42	344.6
93.2	343.5
90.29	342.8
91.46	347.6
89.98	346.6
88.35	349.5
88.41	342.1
82.44	342
79.89	342.8
75.69	339.3
75.66	348.2
84.5	333.7
96.73	334.7
87.48	354
82.39	367.7
83.48	363.3
79.31	358.4
78.16	353.1
72.77	343.1
72.45	344.6
68.46	344.4
67.62	333.9
68.76	331.7
70.07	324.3
68.55	321.2
65.3	322.4
58.96	321.7
59.17	320.5
62.37	312.8
66.28	309.7
55.62	315.6
55.23	309.7
55.85	304.6
56.75	302.5
50.89	301.5
53.88	298.8
52.95	291.3
55.08	293.6
53.61	294.6
58.78	285.9
61.85	297.6
55.91	301.1
53.32	293.8
46.41	297.7
44.57	292.9
50	292.1
50	287.2
53.36	288.2
46.23	283.8
50.45	299.9
49.07	292.4
45.85	293.3
48.45	300.8
49.96	293.7
46.53	293.1
50.51	294.4
47.58	292.1
48.05	291.9
46.84	282.5
47.67	277.9
49.16	287.5
55.54	289.2
55.82	285.6
58.22	293.2
56.19	290.8
57.77	283.1
63.19	275
54.76	287.8
55.74	287.8
62.54	287.4
61.39	284
69.6	277.8
79.23	277.6
80	304.9
93.68	294
107.63	300.9
100.18	324
97.3	332.9
90.45	341.6
80.64	333.4
80.58	348.2
75.82	344.7
85.59	344.7
89.35	329.3
89.42	323.5
104.73	323.2
95.32	317.4
89.27	330.1
90.44	329.2
86.97	334.9
79.98	315.8
81.22	315.4
87.35	319.6
83.64	317.3
82.22	313.8
94.4	315.8
102.18	311.3


 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 19 seconds R Server 'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 19 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=185605&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]19 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=185605&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=185605&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 19 seconds R Server 'Gwilym Jenkins' @ jenkins.wessa.net

 Multiple Linear Regression - Estimated Regression Equation USA[t] = + 127.399364499604 + 1.89927769676334Colombia[t] + 2.72058738350234M1[t] + 5.08328322812179M2[t] + 1.29282804242187M3[t] + 3.57139280539233M4[t] + 4.58871546000618M5[t] + 6.98231755214434M6[t] + 15.7898723045893M7[t] + 17.1239397386148M8[t] + 13.2850232260827M9[t] + 10.2014447288555M10[t] + 2.63636461408352M11[t] + 0.148173467103375t + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
USA[t] =  +  127.399364499604 +  1.89927769676334Colombia[t] +  2.72058738350234M1[t] +  5.08328322812179M2[t] +  1.29282804242187M3[t] +  3.57139280539233M4[t] +  4.58871546000618M5[t] +  6.98231755214434M6[t] +  15.7898723045893M7[t] +  17.1239397386148M8[t] +  13.2850232260827M9[t] +  10.2014447288555M10[t] +  2.63636461408352M11[t] +  0.148173467103375t  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=185605&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]USA[t] =  +  127.399364499604 +  1.89927769676334Colombia[t] +  2.72058738350234M1[t] +  5.08328322812179M2[t] +  1.29282804242187M3[t] +  3.57139280539233M4[t] +  4.58871546000618M5[t] +  6.98231755214434M6[t] +  15.7898723045893M7[t] +  17.1239397386148M8[t] +  13.2850232260827M9[t] +  10.2014447288555M10[t] +  2.63636461408352M11[t] +  0.148173467103375t  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=185605&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=185605&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

 Multiple Linear Regression - Estimated Regression Equation USA[t] = + 127.399364499604 + 1.89927769676334Colombia[t] + 2.72058738350234M1[t] + 5.08328322812179M2[t] + 1.29282804242187M3[t] + 3.57139280539233M4[t] + 4.58871546000618M5[t] + 6.98231755214434M6[t] + 15.7898723045893M7[t] + 17.1239397386148M8[t] + 13.2850232260827M9[t] + 10.2014447288555M10[t] + 2.63636461408352M11[t] + 0.148173467103375t + e[t]

 Multiple Linear Regression - Ordinary Least Squares Variable Parameter S.D. T-STATH0: parameter = 0 2-tail p-value 1-tail p-value (Intercept) 127.399364499604 9.42068 13.5234 0 0 Colombia 1.89927769676334 0.087266 21.7642 0 0 M1 2.72058738350234 8.016357 0.3394 0.73453 0.367265 M2 5.08328322812179 8.015826 0.6342 0.526398 0.263199 M3 1.29282804242187 8.017056 0.1613 0.871983 0.435991 M4 3.57139280539233 8.016588 0.4455 0.656237 0.328118 M5 4.58871546000618 8.016216 0.5724 0.567403 0.283702 M6 6.98231755214434 8.014833 0.8712 0.384263 0.192131 M7 15.7898723045893 8.017549 1.9694 0.049703 0.024852 M8 17.1239397386148 8.016567 2.1361 0.033375 0.016688 M9 13.2850232260827 8.016201 1.6573 0.098371 0.049185 M10 10.2014447288555 8.015953 1.2726 0.203999 0.102 M11 2.63636461408352 8.014282 0.329 0.742386 0.371193 t 0.148173467103375 0.015768 9.3972 0 0

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Ordinary Least Squares \tabularnewline
Variable & Parameter & S.D. & T-STATH0: parameter = 0 & 2-tail p-value & 1-tail p-value \tabularnewline
(Intercept) & 127.399364499604 & 9.42068 & 13.5234 & 0 & 0 \tabularnewline
Colombia & 1.89927769676334 & 0.087266 & 21.7642 & 0 & 0 \tabularnewline
M1 & 2.72058738350234 & 8.016357 & 0.3394 & 0.73453 & 0.367265 \tabularnewline
M2 & 5.08328322812179 & 8.015826 & 0.6342 & 0.526398 & 0.263199 \tabularnewline
M3 & 1.29282804242187 & 8.017056 & 0.1613 & 0.871983 & 0.435991 \tabularnewline
M4 & 3.57139280539233 & 8.016588 & 0.4455 & 0.656237 & 0.328118 \tabularnewline
M5 & 4.58871546000618 & 8.016216 & 0.5724 & 0.567403 & 0.283702 \tabularnewline
M6 & 6.98231755214434 & 8.014833 & 0.8712 & 0.384263 & 0.192131 \tabularnewline
M7 & 15.7898723045893 & 8.017549 & 1.9694 & 0.049703 & 0.024852 \tabularnewline
M8 & 17.1239397386148 & 8.016567 & 2.1361 & 0.033375 & 0.016688 \tabularnewline
M9 & 13.2850232260827 & 8.016201 & 1.6573 & 0.098371 & 0.049185 \tabularnewline
M10 & 10.2014447288555 & 8.015953 & 1.2726 & 0.203999 & 0.102 \tabularnewline
M11 & 2.63636461408352 & 8.014282 & 0.329 & 0.742386 & 0.371193 \tabularnewline
t & 0.148173467103375 & 0.015768 & 9.3972 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=185605&T=2

[TABLE]
[ROW][C]Multiple Linear Regression - Ordinary Least Squares[/C][/ROW]
[ROW][C]Variable[/C][C]Parameter[/C][C]S.D.[/C][C]T-STATH0: parameter = 0[/C][C]2-tail p-value[/C][C]1-tail p-value[/C][/ROW]
[ROW][C](Intercept)[/C][C]127.399364499604[/C][C]9.42068[/C][C]13.5234[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]Colombia[/C][C]1.89927769676334[/C][C]0.087266[/C][C]21.7642[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M1[/C][C]2.72058738350234[/C][C]8.016357[/C][C]0.3394[/C][C]0.73453[/C][C]0.367265[/C][/ROW]
[ROW][C]M2[/C][C]5.08328322812179[/C][C]8.015826[/C][C]0.6342[/C][C]0.526398[/C][C]0.263199[/C][/ROW]
[ROW][C]M3[/C][C]1.29282804242187[/C][C]8.017056[/C][C]0.1613[/C][C]0.871983[/C][C]0.435991[/C][/ROW]
[ROW][C]M4[/C][C]3.57139280539233[/C][C]8.016588[/C][C]0.4455[/C][C]0.656237[/C][C]0.328118[/C][/ROW]
[ROW][C]M5[/C][C]4.58871546000618[/C][C]8.016216[/C][C]0.5724[/C][C]0.567403[/C][C]0.283702[/C][/ROW]
[ROW][C]M6[/C][C]6.98231755214434[/C][C]8.014833[/C][C]0.8712[/C][C]0.384263[/C][C]0.192131[/C][/ROW]
[ROW][C]M7[/C][C]15.7898723045893[/C][C]8.017549[/C][C]1.9694[/C][C]0.049703[/C][C]0.024852[/C][/ROW]
[ROW][C]M8[/C][C]17.1239397386148[/C][C]8.016567[/C][C]2.1361[/C][C]0.033375[/C][C]0.016688[/C][/ROW]
[ROW][C]M9[/C][C]13.2850232260827[/C][C]8.016201[/C][C]1.6573[/C][C]0.098371[/C][C]0.049185[/C][/ROW]
[ROW][C]M10[/C][C]10.2014447288555[/C][C]8.015953[/C][C]1.2726[/C][C]0.203999[/C][C]0.102[/C][/ROW]
[ROW][C]M11[/C][C]2.63636461408352[/C][C]8.014282[/C][C]0.329[/C][C]0.742386[/C][C]0.371193[/C][/ROW]
[ROW][C]t[/C][C]0.148173467103375[/C][C]0.015768[/C][C]9.3972[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=185605&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=185605&T=2

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

 Multiple Linear Regression - Ordinary Least Squares Variable Parameter S.D. T-STATH0: parameter = 0 2-tail p-value 1-tail p-value (Intercept) 127.399364499604 9.42068 13.5234 0 0 Colombia 1.89927769676334 0.087266 21.7642 0 0 M1 2.72058738350234 8.016357 0.3394 0.73453 0.367265 M2 5.08328322812179 8.015826 0.6342 0.526398 0.263199 M3 1.29282804242187 8.017056 0.1613 0.871983 0.435991 M4 3.57139280539233 8.016588 0.4455 0.656237 0.328118 M5 4.58871546000618 8.016216 0.5724 0.567403 0.283702 M6 6.98231755214434 8.014833 0.8712 0.384263 0.192131 M7 15.7898723045893 8.017549 1.9694 0.049703 0.024852 M8 17.1239397386148 8.016567 2.1361 0.033375 0.016688 M9 13.2850232260827 8.016201 1.6573 0.098371 0.049185 M10 10.2014447288555 8.015953 1.2726 0.203999 0.102 M11 2.63636461408352 8.014282 0.329 0.742386 0.371193 t 0.148173467103375 0.015768 9.3972 0 0

 Multiple Linear Regression - Regression Statistics Multiple R 0.7832915252984 R-squared 0.613545613604294 Adjusted R-squared 0.599025651109657 F-TEST (value) 42.2553166945807 F-TEST (DF numerator) 13 F-TEST (DF denominator) 346 p-value 0 Multiple Linear Regression - Residual Statistics Residual Standard Deviation 31.039006205138 Sum Squared Residuals 333343.287546098

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.7832915252984 \tabularnewline
R-squared & 0.613545613604294 \tabularnewline
Adjusted R-squared & 0.599025651109657 \tabularnewline
F-TEST (value) & 42.2553166945807 \tabularnewline
F-TEST (DF numerator) & 13 \tabularnewline
F-TEST (DF denominator) & 346 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 31.039006205138 \tabularnewline
Sum Squared Residuals & 333343.287546098 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=185605&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.7832915252984[/C][/ROW]
[ROW][C]R-squared[/C][C]0.613545613604294[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]42.2553166945807[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]13[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]346[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]31.039006205138[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]333343.287546098[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=185605&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=185605&T=3

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

 Multiple Linear Regression - Regression Statistics Multiple R 0.7832915252984 R-squared 0.613545613604294 Adjusted R-squared 0.599025651109657 F-TEST (value) 42.2553166945807 F-TEST (DF numerator) 13 F-TEST (DF denominator) 346 p-value 0 Multiple Linear Regression - Residual Statistics Residual Standard Deviation 31.039006205138 Sum Squared Residuals 333343.287546098

 Multiple Linear Regression - Actuals, Interpolation, and Residuals Time or Index Actuals InterpolationForecast ResidualsPrediction Error 1 255 296.037082723714 -41.0370827237142 2 280.2 298.547952035437 -18.3479520354373 3 299.9 294.544807554456 5.35519244554446 4 339.2 296.64866857608 42.5513314239204 5 374.2 299.086680754628 75.1133192453717 6 393.5 307.573195504739 85.926804495261 7 389.2 316.471945393384 72.7280546066155 8 381.7 317.213467992776 64.4865320072243 9 375.2 312.098266674774 63.1017333252256 10 369 308.004302249625 60.9956977503751 11 357.4 299.580778422672 57.8192215773282 12 352.1 295.972013434601 56.1279865653988 13 346.5 297.416316012634 49.0836839873655 14 342.9 299.452365900166 43.4476340998336 15 340.3 295.012387548929 45.2876124510707 16 328.3 296.717400254233 31.5825997457669 17 322.9 297.199156405116 25.7008435948845 18 314.3 299.095177547457 15.2048224525425 19 308.9 307.443136904042 1.45686309595839 20 294 308.298616165239 -14.2986161652385 21 285.6 303.221400401173 -17.6214004011725 22 281.2 298.177797127641 -16.9777971276414 23 280.3 289.089526106821 -8.78952610682109 24 278.8 285.157883910301 -6.35788391030077 25 274.5 286.678157596205 -12.1781575962045 26 270.4 286.112197039171 -15.7121970391708 27 263.4 264.635697747966 -1.23569774796644 28 259.9 265.732941590306 -5.83294159030592 29 258 269.348505940848 -11.3485059408478 30 262.7 279.278471740499 -16.5784717404988 31 284.7 291.747863699059 -7.04786369905934 32 311.3 297.009667216747 14.2903327832528 33 322.1 300.498193865084 21.6018061349161 34 327 300.411705380105 26.5882946198949 35 331.3 295.406881407326 35.893118592674 36 333.3 294.362141309886 38.937858690114 37 321.4 297.515793815006 23.8842061849938 38 327 298.146378206933 28.8536217930667 39 320 293.307551539376 26.6924484606241 40 314.7 301.071260097355 13.6287399026453 41 316.7 300.071579644762 16.6284203552383 42 314.4 300.334221967887 14.0657780321128 43 321.3 307.884484691831 13.4155153081693 44 318.2 307.695361219808 10.5046387801922 45 307.2 302.295268247292 4.90473175270792 46 301.3 297.251664973761 4.04833502623907 47 287.5 287.68857452875 -0.18857452874978 48 277.7 290.499368155739 -12.7993681557393 49 274.4 292.532446819769 -18.1324468197692 50 258.8 293.163031211696 -34.3630312116963 51 253.3 287.963341781754 -34.6633417817538 52 251 289.022600070158 -38.022600070158 53 248.4 288.7066595884 -40.3066595883998 54 249.5 289.425128558749 -39.9251285587486 55 246.1 296.576542966372 -50.4765429663718 56 244.5 296.14051339377 -51.6405133937697 57 243.6 290.588478205513 -46.9884782055129 58 244 294.851335646122 -50.8513356461221 59 240.8 292.049673801588 -51.2496738015884 60 249.8 288.061053274165 -38.2610532741652 61 248 288.726651996525 -40.7266519965255 62 259.4 289.395221942388 -29.9952219423879 63 260.5 292.134513284916 -31.6345132849161 64 260.8 294.447294853184 -33.6472948531842 65 261.3 293.6185493933 -32.3185493932999 66 259.5 294.033133932166 -34.5331339321665 67 256.6 301.279512224628 -44.6795122246278 68 257.9 300.653554882349 -42.7535548823494 69 256.5 295.196483578931 -38.6964835789308 70 254.2 303.580773621516 -49.3807736215165 71 253.3 293.011065997221 -39.7110659972207 72 253.8 287.484030535419 -33.6840305354192 73 255.5 287.978694265071 -32.4786942650707 74 257.1 288.096473678872 -30.9964736788717 75 257.3 281.681246523001 -24.3812465230007 76 253.2 287.317764060605 -34.1177640606046 77 252.8 287.818512988455 -35.0185129884547 78 252 287.720292549195 -35.7202925491952 79 250.7 294.093003101145 -43.3930031011454 80 252.2 292.726327457129 -40.5263274571292 81 250 293.973706423285 -43.9737064232851 82 251 292.025925795478 -41.0259257954783 83 253.4 283.906286400007 -30.5062864000073 84 251.2 278.645149815753 -27.4451498157526 85 255.6 280.887149026426 -25.2871490264264 86 261.1 280.682051231778 -19.5820512317776 87 258.9 275.254448478224 -16.3544484782236 88 259.9 277.624208377394 -17.7242083773945 89 261.2 278.143950082212 -16.9439500822122 90 264.7 279.451195138558 -14.7511951385576 91 267.1 285.387071820252 -18.2870718202522 92 266.4 289.699236489558 -23.2992364895585 93 267.7 287.034103400382 -19.3341034003819 94 268.6 281.401724040854 -12.8017240408541 95 267.5 272.541366343645 -5.04136634364542 96 268.5 271.515619023173 -3.01561902317303 97 268.5 271.64941999044 -3.14941999043953 98 270.5 270.855546109794 -0.355546109794128 99 270.9 269.929231497569 0.970768502430795 100 270.1 266.297273874968 3.80272612503207 101 269.3 262.163785222715 7.13621477728458 102 269.8 267.896347312519 1.90365268748061 103 270.1 273.015534584606 -2.91553458460578 104 264.9 271.306988955172 -6.40698895517226 105 263.7 271.072931317853 -7.37293131785279 106 264.8 264.585876994782 0.214123005218484 107 263.7 263.398601192497 0.301398807503304 108 255.9 260.872424491581 -4.97242449158128 109 276.2 274.358147667094 1.84185233290592 110 360.1 295.14006842168 64.9599315783198 111 380.5 319.37918329157 61.1208167084304 112 373.7 324.48390307408 49.2160969259202 113 369.8 327.54867689256 42.2513231074397 114 366.6 328.115203647168 38.4847963528321 115 359.3 334.032087551895 25.267912448105 116 345.8 332.570448023041 13.2295519769594 117 326.2 325.461005123438 0.738994876562105 118 324.5 320.284452411133 4.21554758886665 119 328.1 314.861787345066 13.2382126549338 120 327.5 308.97388912088 18.5261108791203 121 324.4 308.822798433632 15.5772015663683 122 316.5 308.636693415951 7.86330658404939 123 310.9 302.088516821306 8.81148317869384 124 301.5 301.761302391073 -0.261302391073126 125 291.7 300.172845852483 -8.4728458524835 126 290.4 300.2645531829 -9.86455318290035 127 287.4 306.732227619689 -19.3322276196887 128 277.7 306.011306392572 -28.3113063925721 129 281.6 300.345314542509 -18.7453145425094 130 288 300.239833280563 -12.239833280563 131 276 295.956734832554 -19.9567348325539 132 272.9 291.588258765778 -18.6882587657781 133 283 294.684932939995 -11.6849329399954 134 283.3 300.842415429504 -17.5424154295038 135 276.8 293.97136162641 -17.1713616264096 136 284.5 297.955507567829 -13.4555075678294 137 282.7 297.867480409683 -15.1674804096828 138 281.2 297.256454992297 -16.0564549922972 139 287.4 303.401252220636 -16.0012522206359 140 283.1 302.148533238425 -19.0485332384254 141 284 295.646859201787 -11.646859201787 142 285.5 295.313464616229 -9.81346461622891 143 289.2 296.120430395546 -6.92043039554563 144 292.5 290.916272142194 1.58372785780613 145 296.4 293.917982431573 2.48201756842694 146 305.2 290.674040322103 14.525959677897 147 303.9 285.341401453387 18.558598546613 148 311.5 300.037473604552 11.462526395448 149 316.3 297.993190418739 18.3068095812608 150 316.7 302.092373689327 14.6076263106733 151 322.5 310.04148472959 12.4585152704095 152 317.1 308.674809085574 8.42519091442573 153 309.8 302.040185610162 7.75981438983763 154 303.8 298.402047832236 5.39795216776386 155 290.3 291.953772809917 -1.65377280991684 156 293.7 286.369759017212 7.33024098278753 157 291.7 285.914783898482 5.78521610151767 158 296.5 285.006953356031 11.4930466439689 159 289.1 285.125241477026 3.97475852297404 160 288.5 291.730390639979 -3.23039063997919 161 293.8 289.686107454166 4.11389254583365 162 297.7 289.170045921619 8.52995407838108 163 305.4 295.29585037299 10.1041496270101 164 302.7 293.929174728974 8.77082527102625 165 302.5 302.184888396186 0.315111603813593 166 303 297.692075654717 5.30792434528332 167 294.5 287.597187454612 6.90281254538823 168 294.1 282.279072539454 11.8209274605458 169 294.5 282.716757938203 11.7832420617971 170 297.1 283.043457898648 14.0565421013522 171 289.4 281.756280524038 7.64371947596214 172 292.4 291.134375124265 1.26562487573447 173 287.9 290.096709117737 -2.19670911773728 174 286.6 290.435322548733 -3.8353225487333 175 280.5 297.282852524874 -16.7828525248744 176 272.4 296.54293852079 -24.1429385207901 177 269.2 290.003278930216 -20.8032789302164 178 270.6 290.429595423364 -19.8295954233636 179 267.3 281.854129380669 -14.5541293806694 180 262.5 276.9538555588 -14.4538555587998 181 266.8 279.822616409406 -13.0226164094055 182 268.8 275.192201581298 -6.39220158129818 183 263.1 268.017263346722 -4.9172633467218 184 261.2 269.190478296932 -7.99047829693187 185 266 269.121443915753 -3.12144391575291 186 262.5 270.409696195131 -7.90969619513064 187 265.2 272.148169166978 -6.94816916697831 188 261.3 267.26782978395 -5.96782978394994 189 253.7 262.513491228334 -8.81349122833374 190 249.2 258.514490688022 -9.31449068802246 191 239.1 250.071974084102 -10.9719740841017 192 236.4 246.520187426934 -10.120187426934 193 235.2 248.439309429158 -13.2393094291581 194 245.2 250.038525446434 -4.83852544643449 195 246.2 245.503583210359 0.696416789640826 196 247.7 252.887436228985 -5.18743622898535 197 251.4 254.679693990634 -3.27969399063444 198 253.3 255.891975162142 -2.59197516214164 199 254.8 263.898064533308 -9.09806453330834 200 250 277.364747701014 -27.3647477010139 201 249.3 272.629401922365 -23.3294019223653 202 241.5 268.649394159022 -27.1493941590217 203 243.3 260.700689756259 -17.4006897562593 204 248 256.712069228836 -8.71206922883615 205 253 258.688169561963 -5.68816956196309 206 252.9 274.209091096515 -21.3090910965148 207 251.5 307.887616119318 -56.387616119318 208 251.6 308.092199444179 -56.4921994441787 209 253.5 307.662302300615 -54.1623023006147 210 259.8 312.027384448749 -52.2273844487491 211 334.1 318.55203721644 15.5479627835597 212 448 357.260120974131 90.7398790258693 213 445.8 380.539121222741 65.2608787772586 214 445 382.56083098117 62.43916901883 215 448.2 374.631119355375 73.5688806446247 216 438.2 364.393875205601 73.8061247943993 217 439.8 363.521058993583 76.2789410064174 218 423.4 364.322578378218 59.0774216217815 219 410.8 356.729799050354 54.0702009496459 220 408.4 357.675100676953 50.7248993230474 221 406.7 364.595408219863 42.1045917801373 222 405.9 360.717625164044 45.1823748359559 223 402.7 365.950769097936 36.7492309020636 224 405.1 360.481653628911 44.6183463710886 225 399.6 353.998972369241 45.6010276307595 226 386.5 344.890914824636 41.6090851753642 227 381.4 337.701921500579 43.6980784994211 228 375.2 335.04279536089 40.15720463911 229 357.7 325.927113944919 31.772886055081 230 359 333.376105268227 25.6238947317735 231 355 328.879148586086 26.1208514139135 232 352.7 325.722010387676 26.9779896123239 233 344.4 328.311964781966 16.0880352180342 234 343.8 328.650578212962 15.1494217870381 235 338 342.734356213771 -4.73435621377126 236 339 374.206191946793 -35.2061919467933 237 333.3 374.181054856118 -40.8810548561178 238 334.4 376.050822398805 -41.6508223988053 239 328.3 368.709886859007 -40.4098868590072 240 330.7 351.483300785144 -20.7833007851435 241 330 345.216535914318 -15.2165359143175 242 331.6 383.794688687576 -52.1946886875762 243 351.2 463.511705079923 -112.311705079923 244 389.4 447.040630227201 -57.6406302272014 245 410.9 494.757422696588 -83.8574226965882 246 442.8 497.413154917635 -54.6131549176355 247 462.8 431.84122631619 30.9587736838097 248 466.9 420.617299425972 46.2827005740276 249 461.7 407.734052328209 53.965947671791 250 439.2 393.915786095631 45.2842139043687 251 430.3 377.059469295049 53.2405307049511 252 416.1 388.568954773215 27.5310452267855 253 402.5 391.019874530532 11.4801254694677 254 397.3 406.863673273534 -9.56367327353384 255 403.3 374.618269441681 28.6817305583187 256 395.9 380.235794202318 15.6642057976824 257 387.8 359.578589588224 28.221410411776 258 378.6 359.138499163547 19.461500836453 259 377.1 369.974512302891 7.12548769710885 260 370.4 369.120641637001 1.27935836299888 261 362 349.437980384825 12.562019615175 262 350.3 343.387759932009 6.9122400679907 263 348.2 346.283931177766 1.91606882223432 264 344.6 345.84695994329 -1.2469599432899 265 343.5 346.398602003844 -2.89860200384436 266 342.8 343.382573217986 -0.582573217985868 267 347.6 341.962446404602 5.63755359539762 268 346.6 341.578253643466 5.02174635653351 269 349.5 339.647927119459 9.85207288054053 270 342.1 342.303659340507 -0.203659340506789 271 342 339.920699710378 2.07930028962199 272 342.8 336.55978248476 6.24021751523966 273 339.3 324.892073112926 14.4079268870745 274 348.2 321.899689751899 26.3003102481011 275 333.7 331.272397943618 2.42760205638178 276 334.7 352.012373028054 -17.3123730280538 277 354 337.312815183599 16.6871848164015 278 367.7 330.156361018796 37.543638981204 279 363.3 328.584291989671 34.7157080103286 280 358.4 323.091042224242 35.3089577757578 281 353.1 322.072368994682 31.0276310053185 282 343.1 314.377037768369 28.7229622316314 283 344.6 322.724997124953 21.8750028750473 284 344.4 316.629120015996 27.7708799840042 285 333.9 311.342983705286 22.5570162947141 286 331.7 310.572755249472 21.1272447505277 287 324.3 305.643902384564 18.6560976154364 288 321.2 300.268809138503 20.9311908614967 289 322.4 296.964917474628 25.4350825253719 290 321.7 287.434366188871 34.2656338111287 291 320.5 284.190932786595 36.3090672134049 292 312.8 292.695359646312 20.1046403536884 293 309.7 301.287031562373 8.4129684376265 294 315.6 283.582506874118 32.0174931258822 295 309.7 291.797516791928 17.9024832080715 296 304.6 294.457309865051 10.1426901349494 297 302.5 292.475916746709 10.0240832532912 298 301.5 278.410744413552 23.0892555864482 299 298.8 276.672678079206 22.1273219207944 300 291.3 272.418158674236 18.8818413257644 301 293.6 279.332381018947 14.2676189810528 302 294.6 279.051312116428 15.5486878835721 303 285.9 285.228296090098 0.671703909902108 304 297.6 293.485816849235 4.11418315076486 305 301.1 283.369603452178 17.7303965478219 306 293.8 280.992249776803 12.8077502231974 307 297.7 276.823969111716 20.8760308882837 308 292.9 274.811539050801 18.0884609491994 309 292.1 281.433873898797 10.6661261012032 310 287.2 278.498468868673 8.70153113132701 311 288.2 277.463135282129 10.7368647178708 312 283.8 261.433094157226 22.3669058427736 313 299.9 272.316806888173 27.5831931118265 314 292.4 272.206672978363 20.1933270216371 315 293.3 262.448717076188 30.8512829238117 316 300.8 269.813577317847 30.9864226821531 317 293.7 273.846982761677 19.8530172383232 318 293.1 269.87423582102 23.22576417898 319 294.4 286.389089273686 8.0109107263135 320 292.1 282.306446523299 9.79355347670128 321 291.9 279.508363995349 12.3916360046512 322 282.5 274.274832952141 8.22516704785867 323 277.9 268.434326792786 9.46567320721369 324 287.5 268.776059413983 18.7239405860165 325 289.2 283.762211969939 5.43778803006062 326 285.6 286.804879036756 -1.20487903675591 327 293.2 287.720863790391 5.47913620960859 328 290.8 286.292068296036 4.50793170396436 329 283.1 290.458423178639 -7.35842317863894 330 275 303.294283854338 -28.2942838543378 331 287.8 296.239101090171 -8.43910109017118 332 287.8 299.582634134128 -11.7826341341281 333 287.4 308.80697942669 -21.4069794266901 334 284 303.687405045288 -19.6874050452885 335 277.8 311.863568288047 -34.0635682880469 336 277.6 327.665421360898 -50.0654213608978 337 304.9 331.996626038011 -27.0966260380113 338 294 360.489614241457 -66.4896142414566 339 300.9 383.342256392709 -82.4422563927087 340 324 371.619375781896 -47.6193757818957 341 332.9 367.314952136934 -34.4149521369344 342 341.6 356.846675473347 -15.246675473347 343 333.4 347.170489487647 -13.770489487647 344 348.2 348.53877372697 -0.338773726970079 345 344.7 335.807468844948 8.89253115505218 346 344.7 351.428006912202 -6.7280069122019 347 329.3 351.152384404363 -21.8523844043634 348 323.5 348.797142696157 -25.2971426961568 349 323.2 380.743845084209 -57.5438450842093 350 317.4 365.382511269389 -47.982511269389 351 330.1 350.249599485374 -20.1495994853742 352 329.2 354.898492620661 -25.6984926206612 353 334.9 349.47349513461 -14.5734951346096 354 315.8 338.739319593475 -22.9393195934754 355 315.4 350.05015215701 -34.6501521570103 356 319.6 363.174965339298 -43.5749653392984 357 317.3 352.437902038878 -35.1379020388777 358 313.8 346.80552267935 -33.0055226793499 359 315.8 362.521818378259 -46.7218183782588 360 311.3 374.810007712098 -63.5100077120975

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 255 & 296.037082723714 & -41.0370827237142 \tabularnewline
2 & 280.2 & 298.547952035437 & -18.3479520354373 \tabularnewline
3 & 299.9 & 294.544807554456 & 5.35519244554446 \tabularnewline
4 & 339.2 & 296.64866857608 & 42.5513314239204 \tabularnewline
5 & 374.2 & 299.086680754628 & 75.1133192453717 \tabularnewline
6 & 393.5 & 307.573195504739 & 85.926804495261 \tabularnewline
7 & 389.2 & 316.471945393384 & 72.7280546066155 \tabularnewline
8 & 381.7 & 317.213467992776 & 64.4865320072243 \tabularnewline
9 & 375.2 & 312.098266674774 & 63.1017333252256 \tabularnewline
10 & 369 & 308.004302249625 & 60.9956977503751 \tabularnewline
11 & 357.4 & 299.580778422672 & 57.8192215773282 \tabularnewline
12 & 352.1 & 295.972013434601 & 56.1279865653988 \tabularnewline
13 & 346.5 & 297.416316012634 & 49.0836839873655 \tabularnewline
14 & 342.9 & 299.452365900166 & 43.4476340998336 \tabularnewline
15 & 340.3 & 295.012387548929 & 45.2876124510707 \tabularnewline
16 & 328.3 & 296.717400254233 & 31.5825997457669 \tabularnewline
17 & 322.9 & 297.199156405116 & 25.7008435948845 \tabularnewline
18 & 314.3 & 299.095177547457 & 15.2048224525425 \tabularnewline
19 & 308.9 & 307.443136904042 & 1.45686309595839 \tabularnewline
20 & 294 & 308.298616165239 & -14.2986161652385 \tabularnewline
21 & 285.6 & 303.221400401173 & -17.6214004011725 \tabularnewline
22 & 281.2 & 298.177797127641 & -16.9777971276414 \tabularnewline
23 & 280.3 & 289.089526106821 & -8.78952610682109 \tabularnewline
24 & 278.8 & 285.157883910301 & -6.35788391030077 \tabularnewline
25 & 274.5 & 286.678157596205 & -12.1781575962045 \tabularnewline
26 & 270.4 & 286.112197039171 & -15.7121970391708 \tabularnewline
27 & 263.4 & 264.635697747966 & -1.23569774796644 \tabularnewline
28 & 259.9 & 265.732941590306 & -5.83294159030592 \tabularnewline
29 & 258 & 269.348505940848 & -11.3485059408478 \tabularnewline
30 & 262.7 & 279.278471740499 & -16.5784717404988 \tabularnewline
31 & 284.7 & 291.747863699059 & -7.04786369905934 \tabularnewline
32 & 311.3 & 297.009667216747 & 14.2903327832528 \tabularnewline
33 & 322.1 & 300.498193865084 & 21.6018061349161 \tabularnewline
34 & 327 & 300.411705380105 & 26.5882946198949 \tabularnewline
35 & 331.3 & 295.406881407326 & 35.893118592674 \tabularnewline
36 & 333.3 & 294.362141309886 & 38.937858690114 \tabularnewline
37 & 321.4 & 297.515793815006 & 23.8842061849938 \tabularnewline
38 & 327 & 298.146378206933 & 28.8536217930667 \tabularnewline
39 & 320 & 293.307551539376 & 26.6924484606241 \tabularnewline
40 & 314.7 & 301.071260097355 & 13.6287399026453 \tabularnewline
41 & 316.7 & 300.071579644762 & 16.6284203552383 \tabularnewline
42 & 314.4 & 300.334221967887 & 14.0657780321128 \tabularnewline
43 & 321.3 & 307.884484691831 & 13.4155153081693 \tabularnewline
44 & 318.2 & 307.695361219808 & 10.5046387801922 \tabularnewline
45 & 307.2 & 302.295268247292 & 4.90473175270792 \tabularnewline
46 & 301.3 & 297.251664973761 & 4.04833502623907 \tabularnewline
47 & 287.5 & 287.68857452875 & -0.18857452874978 \tabularnewline
48 & 277.7 & 290.499368155739 & -12.7993681557393 \tabularnewline
49 & 274.4 & 292.532446819769 & -18.1324468197692 \tabularnewline
50 & 258.8 & 293.163031211696 & -34.3630312116963 \tabularnewline
51 & 253.3 & 287.963341781754 & -34.6633417817538 \tabularnewline
52 & 251 & 289.022600070158 & -38.022600070158 \tabularnewline
53 & 248.4 & 288.7066595884 & -40.3066595883998 \tabularnewline
54 & 249.5 & 289.425128558749 & -39.9251285587486 \tabularnewline
55 & 246.1 & 296.576542966372 & -50.4765429663718 \tabularnewline
56 & 244.5 & 296.14051339377 & -51.6405133937697 \tabularnewline
57 & 243.6 & 290.588478205513 & -46.9884782055129 \tabularnewline
58 & 244 & 294.851335646122 & -50.8513356461221 \tabularnewline
59 & 240.8 & 292.049673801588 & -51.2496738015884 \tabularnewline
60 & 249.8 & 288.061053274165 & -38.2610532741652 \tabularnewline
61 & 248 & 288.726651996525 & -40.7266519965255 \tabularnewline
62 & 259.4 & 289.395221942388 & -29.9952219423879 \tabularnewline
63 & 260.5 & 292.134513284916 & -31.6345132849161 \tabularnewline
64 & 260.8 & 294.447294853184 & -33.6472948531842 \tabularnewline
65 & 261.3 & 293.6185493933 & -32.3185493932999 \tabularnewline
66 & 259.5 & 294.033133932166 & -34.5331339321665 \tabularnewline
67 & 256.6 & 301.279512224628 & -44.6795122246278 \tabularnewline
68 & 257.9 & 300.653554882349 & -42.7535548823494 \tabularnewline
69 & 256.5 & 295.196483578931 & -38.6964835789308 \tabularnewline
70 & 254.2 & 303.580773621516 & -49.3807736215165 \tabularnewline
71 & 253.3 & 293.011065997221 & -39.7110659972207 \tabularnewline
72 & 253.8 & 287.484030535419 & -33.6840305354192 \tabularnewline
73 & 255.5 & 287.978694265071 & -32.4786942650707 \tabularnewline
74 & 257.1 & 288.096473678872 & -30.9964736788717 \tabularnewline
75 & 257.3 & 281.681246523001 & -24.3812465230007 \tabularnewline
76 & 253.2 & 287.317764060605 & -34.1177640606046 \tabularnewline
77 & 252.8 & 287.818512988455 & -35.0185129884547 \tabularnewline
78 & 252 & 287.720292549195 & -35.7202925491952 \tabularnewline
79 & 250.7 & 294.093003101145 & -43.3930031011454 \tabularnewline
80 & 252.2 & 292.726327457129 & -40.5263274571292 \tabularnewline
81 & 250 & 293.973706423285 & -43.9737064232851 \tabularnewline
82 & 251 & 292.025925795478 & -41.0259257954783 \tabularnewline
83 & 253.4 & 283.906286400007 & -30.5062864000073 \tabularnewline
84 & 251.2 & 278.645149815753 & -27.4451498157526 \tabularnewline
85 & 255.6 & 280.887149026426 & -25.2871490264264 \tabularnewline
86 & 261.1 & 280.682051231778 & -19.5820512317776 \tabularnewline
87 & 258.9 & 275.254448478224 & -16.3544484782236 \tabularnewline
88 & 259.9 & 277.624208377394 & -17.7242083773945 \tabularnewline
89 & 261.2 & 278.143950082212 & -16.9439500822122 \tabularnewline
90 & 264.7 & 279.451195138558 & -14.7511951385576 \tabularnewline
91 & 267.1 & 285.387071820252 & -18.2870718202522 \tabularnewline
92 & 266.4 & 289.699236489558 & -23.2992364895585 \tabularnewline
93 & 267.7 & 287.034103400382 & -19.3341034003819 \tabularnewline
94 & 268.6 & 281.401724040854 & -12.8017240408541 \tabularnewline
95 & 267.5 & 272.541366343645 & -5.04136634364542 \tabularnewline
96 & 268.5 & 271.515619023173 & -3.01561902317303 \tabularnewline
97 & 268.5 & 271.64941999044 & -3.14941999043953 \tabularnewline
98 & 270.5 & 270.855546109794 & -0.355546109794128 \tabularnewline
99 & 270.9 & 269.929231497569 & 0.970768502430795 \tabularnewline
100 & 270.1 & 266.297273874968 & 3.80272612503207 \tabularnewline
101 & 269.3 & 262.163785222715 & 7.13621477728458 \tabularnewline
102 & 269.8 & 267.896347312519 & 1.90365268748061 \tabularnewline
103 & 270.1 & 273.015534584606 & -2.91553458460578 \tabularnewline
104 & 264.9 & 271.306988955172 & -6.40698895517226 \tabularnewline
105 & 263.7 & 271.072931317853 & -7.37293131785279 \tabularnewline
106 & 264.8 & 264.585876994782 & 0.214123005218484 \tabularnewline
107 & 263.7 & 263.398601192497 & 0.301398807503304 \tabularnewline
108 & 255.9 & 260.872424491581 & -4.97242449158128 \tabularnewline
109 & 276.2 & 274.358147667094 & 1.84185233290592 \tabularnewline
110 & 360.1 & 295.14006842168 & 64.9599315783198 \tabularnewline
111 & 380.5 & 319.37918329157 & 61.1208167084304 \tabularnewline
112 & 373.7 & 324.48390307408 & 49.2160969259202 \tabularnewline
113 & 369.8 & 327.54867689256 & 42.2513231074397 \tabularnewline
114 & 366.6 & 328.115203647168 & 38.4847963528321 \tabularnewline
115 & 359.3 & 334.032087551895 & 25.267912448105 \tabularnewline
116 & 345.8 & 332.570448023041 & 13.2295519769594 \tabularnewline
117 & 326.2 & 325.461005123438 & 0.738994876562105 \tabularnewline
118 & 324.5 & 320.284452411133 & 4.21554758886665 \tabularnewline
119 & 328.1 & 314.861787345066 & 13.2382126549338 \tabularnewline
120 & 327.5 & 308.97388912088 & 18.5261108791203 \tabularnewline
121 & 324.4 & 308.822798433632 & 15.5772015663683 \tabularnewline
122 & 316.5 & 308.636693415951 & 7.86330658404939 \tabularnewline
123 & 310.9 & 302.088516821306 & 8.81148317869384 \tabularnewline
124 & 301.5 & 301.761302391073 & -0.261302391073126 \tabularnewline
125 & 291.7 & 300.172845852483 & -8.4728458524835 \tabularnewline
126 & 290.4 & 300.2645531829 & -9.86455318290035 \tabularnewline
127 & 287.4 & 306.732227619689 & -19.3322276196887 \tabularnewline
128 & 277.7 & 306.011306392572 & -28.3113063925721 \tabularnewline
129 & 281.6 & 300.345314542509 & -18.7453145425094 \tabularnewline
130 & 288 & 300.239833280563 & -12.239833280563 \tabularnewline
131 & 276 & 295.956734832554 & -19.9567348325539 \tabularnewline
132 & 272.9 & 291.588258765778 & -18.6882587657781 \tabularnewline
133 & 283 & 294.684932939995 & -11.6849329399954 \tabularnewline
134 & 283.3 & 300.842415429504 & -17.5424154295038 \tabularnewline
135 & 276.8 & 293.97136162641 & -17.1713616264096 \tabularnewline
136 & 284.5 & 297.955507567829 & -13.4555075678294 \tabularnewline
137 & 282.7 & 297.867480409683 & -15.1674804096828 \tabularnewline
138 & 281.2 & 297.256454992297 & -16.0564549922972 \tabularnewline
139 & 287.4 & 303.401252220636 & -16.0012522206359 \tabularnewline
140 & 283.1 & 302.148533238425 & -19.0485332384254 \tabularnewline
141 & 284 & 295.646859201787 & -11.646859201787 \tabularnewline
142 & 285.5 & 295.313464616229 & -9.81346461622891 \tabularnewline
143 & 289.2 & 296.120430395546 & -6.92043039554563 \tabularnewline
144 & 292.5 & 290.916272142194 & 1.58372785780613 \tabularnewline
145 & 296.4 & 293.917982431573 & 2.48201756842694 \tabularnewline
146 & 305.2 & 290.674040322103 & 14.525959677897 \tabularnewline
147 & 303.9 & 285.341401453387 & 18.558598546613 \tabularnewline
148 & 311.5 & 300.037473604552 & 11.462526395448 \tabularnewline
149 & 316.3 & 297.993190418739 & 18.3068095812608 \tabularnewline
150 & 316.7 & 302.092373689327 & 14.6076263106733 \tabularnewline
151 & 322.5 & 310.04148472959 & 12.4585152704095 \tabularnewline
152 & 317.1 & 308.674809085574 & 8.42519091442573 \tabularnewline
153 & 309.8 & 302.040185610162 & 7.75981438983763 \tabularnewline
154 & 303.8 & 298.402047832236 & 5.39795216776386 \tabularnewline
155 & 290.3 & 291.953772809917 & -1.65377280991684 \tabularnewline
156 & 293.7 & 286.369759017212 & 7.33024098278753 \tabularnewline
157 & 291.7 & 285.914783898482 & 5.78521610151767 \tabularnewline
158 & 296.5 & 285.006953356031 & 11.4930466439689 \tabularnewline
159 & 289.1 & 285.125241477026 & 3.97475852297404 \tabularnewline
160 & 288.5 & 291.730390639979 & -3.23039063997919 \tabularnewline
161 & 293.8 & 289.686107454166 & 4.11389254583365 \tabularnewline
162 & 297.7 & 289.170045921619 & 8.52995407838108 \tabularnewline
163 & 305.4 & 295.29585037299 & 10.1041496270101 \tabularnewline
164 & 302.7 & 293.929174728974 & 8.77082527102625 \tabularnewline
165 & 302.5 & 302.184888396186 & 0.315111603813593 \tabularnewline
166 & 303 & 297.692075654717 & 5.30792434528332 \tabularnewline
167 & 294.5 & 287.597187454612 & 6.90281254538823 \tabularnewline
168 & 294.1 & 282.279072539454 & 11.8209274605458 \tabularnewline
169 & 294.5 & 282.716757938203 & 11.7832420617971 \tabularnewline
170 & 297.1 & 283.043457898648 & 14.0565421013522 \tabularnewline
171 & 289.4 & 281.756280524038 & 7.64371947596214 \tabularnewline
172 & 292.4 & 291.134375124265 & 1.26562487573447 \tabularnewline
173 & 287.9 & 290.096709117737 & -2.19670911773728 \tabularnewline
174 & 286.6 & 290.435322548733 & -3.8353225487333 \tabularnewline
175 & 280.5 & 297.282852524874 & -16.7828525248744 \tabularnewline
176 & 272.4 & 296.54293852079 & -24.1429385207901 \tabularnewline
177 & 269.2 & 290.003278930216 & -20.8032789302164 \tabularnewline
178 & 270.6 & 290.429595423364 & -19.8295954233636 \tabularnewline
179 & 267.3 & 281.854129380669 & -14.5541293806694 \tabularnewline
180 & 262.5 & 276.9538555588 & -14.4538555587998 \tabularnewline
181 & 266.8 & 279.822616409406 & -13.0226164094055 \tabularnewline
182 & 268.8 & 275.192201581298 & -6.39220158129818 \tabularnewline
183 & 263.1 & 268.017263346722 & -4.9172633467218 \tabularnewline
184 & 261.2 & 269.190478296932 & -7.99047829693187 \tabularnewline
185 & 266 & 269.121443915753 & -3.12144391575291 \tabularnewline
186 & 262.5 & 270.409696195131 & -7.90969619513064 \tabularnewline
187 & 265.2 & 272.148169166978 & -6.94816916697831 \tabularnewline
188 & 261.3 & 267.26782978395 & -5.96782978394994 \tabularnewline
189 & 253.7 & 262.513491228334 & -8.81349122833374 \tabularnewline
190 & 249.2 & 258.514490688022 & -9.31449068802246 \tabularnewline
191 & 239.1 & 250.071974084102 & -10.9719740841017 \tabularnewline
192 & 236.4 & 246.520187426934 & -10.120187426934 \tabularnewline
193 & 235.2 & 248.439309429158 & -13.2393094291581 \tabularnewline
194 & 245.2 & 250.038525446434 & -4.83852544643449 \tabularnewline
195 & 246.2 & 245.503583210359 & 0.696416789640826 \tabularnewline
196 & 247.7 & 252.887436228985 & -5.18743622898535 \tabularnewline
197 & 251.4 & 254.679693990634 & -3.27969399063444 \tabularnewline
198 & 253.3 & 255.891975162142 & -2.59197516214164 \tabularnewline
199 & 254.8 & 263.898064533308 & -9.09806453330834 \tabularnewline
200 & 250 & 277.364747701014 & -27.3647477010139 \tabularnewline
201 & 249.3 & 272.629401922365 & -23.3294019223653 \tabularnewline
202 & 241.5 & 268.649394159022 & -27.1493941590217 \tabularnewline
203 & 243.3 & 260.700689756259 & -17.4006897562593 \tabularnewline
204 & 248 & 256.712069228836 & -8.71206922883615 \tabularnewline
205 & 253 & 258.688169561963 & -5.68816956196309 \tabularnewline
206 & 252.9 & 274.209091096515 & -21.3090910965148 \tabularnewline
207 & 251.5 & 307.887616119318 & -56.387616119318 \tabularnewline
208 & 251.6 & 308.092199444179 & -56.4921994441787 \tabularnewline
209 & 253.5 & 307.662302300615 & -54.1623023006147 \tabularnewline
210 & 259.8 & 312.027384448749 & -52.2273844487491 \tabularnewline
211 & 334.1 & 318.55203721644 & 15.5479627835597 \tabularnewline
212 & 448 & 357.260120974131 & 90.7398790258693 \tabularnewline
213 & 445.8 & 380.539121222741 & 65.2608787772586 \tabularnewline
214 & 445 & 382.56083098117 & 62.43916901883 \tabularnewline
215 & 448.2 & 374.631119355375 & 73.5688806446247 \tabularnewline
216 & 438.2 & 364.393875205601 & 73.8061247943993 \tabularnewline
217 & 439.8 & 363.521058993583 & 76.2789410064174 \tabularnewline
218 & 423.4 & 364.322578378218 & 59.0774216217815 \tabularnewline
219 & 410.8 & 356.729799050354 & 54.0702009496459 \tabularnewline
220 & 408.4 & 357.675100676953 & 50.7248993230474 \tabularnewline
221 & 406.7 & 364.595408219863 & 42.1045917801373 \tabularnewline
222 & 405.9 & 360.717625164044 & 45.1823748359559 \tabularnewline
223 & 402.7 & 365.950769097936 & 36.7492309020636 \tabularnewline
224 & 405.1 & 360.481653628911 & 44.6183463710886 \tabularnewline
225 & 399.6 & 353.998972369241 & 45.6010276307595 \tabularnewline
226 & 386.5 & 344.890914824636 & 41.6090851753642 \tabularnewline
227 & 381.4 & 337.701921500579 & 43.6980784994211 \tabularnewline
228 & 375.2 & 335.04279536089 & 40.15720463911 \tabularnewline
229 & 357.7 & 325.927113944919 & 31.772886055081 \tabularnewline
230 & 359 & 333.376105268227 & 25.6238947317735 \tabularnewline
231 & 355 & 328.879148586086 & 26.1208514139135 \tabularnewline
232 & 352.7 & 325.722010387676 & 26.9779896123239 \tabularnewline
233 & 344.4 & 328.311964781966 & 16.0880352180342 \tabularnewline
234 & 343.8 & 328.650578212962 & 15.1494217870381 \tabularnewline
235 & 338 & 342.734356213771 & -4.73435621377126 \tabularnewline
236 & 339 & 374.206191946793 & -35.2061919467933 \tabularnewline
237 & 333.3 & 374.181054856118 & -40.8810548561178 \tabularnewline
238 & 334.4 & 376.050822398805 & -41.6508223988053 \tabularnewline
239 & 328.3 & 368.709886859007 & -40.4098868590072 \tabularnewline
240 & 330.7 & 351.483300785144 & -20.7833007851435 \tabularnewline
241 & 330 & 345.216535914318 & -15.2165359143175 \tabularnewline
242 & 331.6 & 383.794688687576 & -52.1946886875762 \tabularnewline
243 & 351.2 & 463.511705079923 & -112.311705079923 \tabularnewline
244 & 389.4 & 447.040630227201 & -57.6406302272014 \tabularnewline
245 & 410.9 & 494.757422696588 & -83.8574226965882 \tabularnewline
246 & 442.8 & 497.413154917635 & -54.6131549176355 \tabularnewline
247 & 462.8 & 431.84122631619 & 30.9587736838097 \tabularnewline
248 & 466.9 & 420.617299425972 & 46.2827005740276 \tabularnewline
249 & 461.7 & 407.734052328209 & 53.965947671791 \tabularnewline
250 & 439.2 & 393.915786095631 & 45.2842139043687 \tabularnewline
251 & 430.3 & 377.059469295049 & 53.2405307049511 \tabularnewline
252 & 416.1 & 388.568954773215 & 27.5310452267855 \tabularnewline
253 & 402.5 & 391.019874530532 & 11.4801254694677 \tabularnewline
254 & 397.3 & 406.863673273534 & -9.56367327353384 \tabularnewline
255 & 403.3 & 374.618269441681 & 28.6817305583187 \tabularnewline
256 & 395.9 & 380.235794202318 & 15.6642057976824 \tabularnewline
257 & 387.8 & 359.578589588224 & 28.221410411776 \tabularnewline
258 & 378.6 & 359.138499163547 & 19.461500836453 \tabularnewline
259 & 377.1 & 369.974512302891 & 7.12548769710885 \tabularnewline
260 & 370.4 & 369.120641637001 & 1.27935836299888 \tabularnewline
261 & 362 & 349.437980384825 & 12.562019615175 \tabularnewline
262 & 350.3 & 343.387759932009 & 6.9122400679907 \tabularnewline
263 & 348.2 & 346.283931177766 & 1.91606882223432 \tabularnewline
264 & 344.6 & 345.84695994329 & -1.2469599432899 \tabularnewline
265 & 343.5 & 346.398602003844 & -2.89860200384436 \tabularnewline
266 & 342.8 & 343.382573217986 & -0.582573217985868 \tabularnewline
267 & 347.6 & 341.962446404602 & 5.63755359539762 \tabularnewline
268 & 346.6 & 341.578253643466 & 5.02174635653351 \tabularnewline
269 & 349.5 & 339.647927119459 & 9.85207288054053 \tabularnewline
270 & 342.1 & 342.303659340507 & -0.203659340506789 \tabularnewline
271 & 342 & 339.920699710378 & 2.07930028962199 \tabularnewline
272 & 342.8 & 336.55978248476 & 6.24021751523966 \tabularnewline
273 & 339.3 & 324.892073112926 & 14.4079268870745 \tabularnewline
274 & 348.2 & 321.899689751899 & 26.3003102481011 \tabularnewline
275 & 333.7 & 331.272397943618 & 2.42760205638178 \tabularnewline
276 & 334.7 & 352.012373028054 & -17.3123730280538 \tabularnewline
277 & 354 & 337.312815183599 & 16.6871848164015 \tabularnewline
278 & 367.7 & 330.156361018796 & 37.543638981204 \tabularnewline
279 & 363.3 & 328.584291989671 & 34.7157080103286 \tabularnewline
280 & 358.4 & 323.091042224242 & 35.3089577757578 \tabularnewline
281 & 353.1 & 322.072368994682 & 31.0276310053185 \tabularnewline
282 & 343.1 & 314.377037768369 & 28.7229622316314 \tabularnewline
283 & 344.6 & 322.724997124953 & 21.8750028750473 \tabularnewline
284 & 344.4 & 316.629120015996 & 27.7708799840042 \tabularnewline
285 & 333.9 & 311.342983705286 & 22.5570162947141 \tabularnewline
286 & 331.7 & 310.572755249472 & 21.1272447505277 \tabularnewline
287 & 324.3 & 305.643902384564 & 18.6560976154364 \tabularnewline
288 & 321.2 & 300.268809138503 & 20.9311908614967 \tabularnewline
289 & 322.4 & 296.964917474628 & 25.4350825253719 \tabularnewline
290 & 321.7 & 287.434366188871 & 34.2656338111287 \tabularnewline
291 & 320.5 & 284.190932786595 & 36.3090672134049 \tabularnewline
292 & 312.8 & 292.695359646312 & 20.1046403536884 \tabularnewline
293 & 309.7 & 301.287031562373 & 8.4129684376265 \tabularnewline
294 & 315.6 & 283.582506874118 & 32.0174931258822 \tabularnewline
295 & 309.7 & 291.797516791928 & 17.9024832080715 \tabularnewline
296 & 304.6 & 294.457309865051 & 10.1426901349494 \tabularnewline
297 & 302.5 & 292.475916746709 & 10.0240832532912 \tabularnewline
298 & 301.5 & 278.410744413552 & 23.0892555864482 \tabularnewline
299 & 298.8 & 276.672678079206 & 22.1273219207944 \tabularnewline
300 & 291.3 & 272.418158674236 & 18.8818413257644 \tabularnewline
301 & 293.6 & 279.332381018947 & 14.2676189810528 \tabularnewline
302 & 294.6 & 279.051312116428 & 15.5486878835721 \tabularnewline
303 & 285.9 & 285.228296090098 & 0.671703909902108 \tabularnewline
304 & 297.6 & 293.485816849235 & 4.11418315076486 \tabularnewline
305 & 301.1 & 283.369603452178 & 17.7303965478219 \tabularnewline
306 & 293.8 & 280.992249776803 & 12.8077502231974 \tabularnewline
307 & 297.7 & 276.823969111716 & 20.8760308882837 \tabularnewline
308 & 292.9 & 274.811539050801 & 18.0884609491994 \tabularnewline
309 & 292.1 & 281.433873898797 & 10.6661261012032 \tabularnewline
310 & 287.2 & 278.498468868673 & 8.70153113132701 \tabularnewline
311 & 288.2 & 277.463135282129 & 10.7368647178708 \tabularnewline
312 & 283.8 & 261.433094157226 & 22.3669058427736 \tabularnewline
313 & 299.9 & 272.316806888173 & 27.5831931118265 \tabularnewline
314 & 292.4 & 272.206672978363 & 20.1933270216371 \tabularnewline
315 & 293.3 & 262.448717076188 & 30.8512829238117 \tabularnewline
316 & 300.8 & 269.813577317847 & 30.9864226821531 \tabularnewline
317 & 293.7 & 273.846982761677 & 19.8530172383232 \tabularnewline
318 & 293.1 & 269.87423582102 & 23.22576417898 \tabularnewline
319 & 294.4 & 286.389089273686 & 8.0109107263135 \tabularnewline
320 & 292.1 & 282.306446523299 & 9.79355347670128 \tabularnewline
321 & 291.9 & 279.508363995349 & 12.3916360046512 \tabularnewline
322 & 282.5 & 274.274832952141 & 8.22516704785867 \tabularnewline
323 & 277.9 & 268.434326792786 & 9.46567320721369 \tabularnewline
324 & 287.5 & 268.776059413983 & 18.7239405860165 \tabularnewline
325 & 289.2 & 283.762211969939 & 5.43778803006062 \tabularnewline
326 & 285.6 & 286.804879036756 & -1.20487903675591 \tabularnewline
327 & 293.2 & 287.720863790391 & 5.47913620960859 \tabularnewline
328 & 290.8 & 286.292068296036 & 4.50793170396436 \tabularnewline
329 & 283.1 & 290.458423178639 & -7.35842317863894 \tabularnewline
330 & 275 & 303.294283854338 & -28.2942838543378 \tabularnewline
331 & 287.8 & 296.239101090171 & -8.43910109017118 \tabularnewline
332 & 287.8 & 299.582634134128 & -11.7826341341281 \tabularnewline
333 & 287.4 & 308.80697942669 & -21.4069794266901 \tabularnewline
334 & 284 & 303.687405045288 & -19.6874050452885 \tabularnewline
335 & 277.8 & 311.863568288047 & -34.0635682880469 \tabularnewline
336 & 277.6 & 327.665421360898 & -50.0654213608978 \tabularnewline
337 & 304.9 & 331.996626038011 & -27.0966260380113 \tabularnewline
338 & 294 & 360.489614241457 & -66.4896142414566 \tabularnewline
339 & 300.9 & 383.342256392709 & -82.4422563927087 \tabularnewline
340 & 324 & 371.619375781896 & -47.6193757818957 \tabularnewline
341 & 332.9 & 367.314952136934 & -34.4149521369344 \tabularnewline
342 & 341.6 & 356.846675473347 & -15.246675473347 \tabularnewline
343 & 333.4 & 347.170489487647 & -13.770489487647 \tabularnewline
344 & 348.2 & 348.53877372697 & -0.338773726970079 \tabularnewline
345 & 344.7 & 335.807468844948 & 8.89253115505218 \tabularnewline
346 & 344.7 & 351.428006912202 & -6.7280069122019 \tabularnewline
347 & 329.3 & 351.152384404363 & -21.8523844043634 \tabularnewline
348 & 323.5 & 348.797142696157 & -25.2971426961568 \tabularnewline
349 & 323.2 & 380.743845084209 & -57.5438450842093 \tabularnewline
350 & 317.4 & 365.382511269389 & -47.982511269389 \tabularnewline
351 & 330.1 & 350.249599485374 & -20.1495994853742 \tabularnewline
352 & 329.2 & 354.898492620661 & -25.6984926206612 \tabularnewline
353 & 334.9 & 349.47349513461 & -14.5734951346096 \tabularnewline
354 & 315.8 & 338.739319593475 & -22.9393195934754 \tabularnewline
355 & 315.4 & 350.05015215701 & -34.6501521570103 \tabularnewline
356 & 319.6 & 363.174965339298 & -43.5749653392984 \tabularnewline
357 & 317.3 & 352.437902038878 & -35.1379020388777 \tabularnewline
358 & 313.8 & 346.80552267935 & -33.0055226793499 \tabularnewline
359 & 315.8 & 362.521818378259 & -46.7218183782588 \tabularnewline
360 & 311.3 & 374.810007712098 & -63.5100077120975 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=185605&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]255[/C][C]296.037082723714[/C][C]-41.0370827237142[/C][/ROW]
[ROW][C]2[/C][C]280.2[/C][C]298.547952035437[/C][C]-18.3479520354373[/C][/ROW]
[ROW][C]3[/C][C]299.9[/C][C]294.544807554456[/C][C]5.35519244554446[/C][/ROW]
[ROW][C]4[/C][C]339.2[/C][C]296.64866857608[/C][C]42.5513314239204[/C][/ROW]
[ROW][C]5[/C][C]374.2[/C][C]299.086680754628[/C][C]75.1133192453717[/C][/ROW]
[ROW][C]6[/C][C]393.5[/C][C]307.573195504739[/C][C]85.926804495261[/C][/ROW]
[ROW][C]7[/C][C]389.2[/C][C]316.471945393384[/C][C]72.7280546066155[/C][/ROW]
[ROW][C]8[/C][C]381.7[/C][C]317.213467992776[/C][C]64.4865320072243[/C][/ROW]
[ROW][C]9[/C][C]375.2[/C][C]312.098266674774[/C][C]63.1017333252256[/C][/ROW]
[ROW][C]10[/C][C]369[/C][C]308.004302249625[/C][C]60.9956977503751[/C][/ROW]
[ROW][C]11[/C][C]357.4[/C][C]299.580778422672[/C][C]57.8192215773282[/C][/ROW]
[ROW][C]12[/C][C]352.1[/C][C]295.972013434601[/C][C]56.1279865653988[/C][/ROW]
[ROW][C]13[/C][C]346.5[/C][C]297.416316012634[/C][C]49.0836839873655[/C][/ROW]
[ROW][C]14[/C][C]342.9[/C][C]299.452365900166[/C][C]43.4476340998336[/C][/ROW]
[ROW][C]15[/C][C]340.3[/C][C]295.012387548929[/C][C]45.2876124510707[/C][/ROW]
[ROW][C]16[/C][C]328.3[/C][C]296.717400254233[/C][C]31.5825997457669[/C][/ROW]
[ROW][C]17[/C][C]322.9[/C][C]297.199156405116[/C][C]25.7008435948845[/C][/ROW]
[ROW][C]18[/C][C]314.3[/C][C]299.095177547457[/C][C]15.2048224525425[/C][/ROW]
[ROW][C]19[/C][C]308.9[/C][C]307.443136904042[/C][C]1.45686309595839[/C][/ROW]
[ROW][C]20[/C][C]294[/C][C]308.298616165239[/C][C]-14.2986161652385[/C][/ROW]
[ROW][C]21[/C][C]285.6[/C][C]303.221400401173[/C][C]-17.6214004011725[/C][/ROW]
[ROW][C]22[/C][C]281.2[/C][C]298.177797127641[/C][C]-16.9777971276414[/C][/ROW]
[ROW][C]23[/C][C]280.3[/C][C]289.089526106821[/C][C]-8.78952610682109[/C][/ROW]
[ROW][C]24[/C][C]278.8[/C][C]285.157883910301[/C][C]-6.35788391030077[/C][/ROW]
[ROW][C]25[/C][C]274.5[/C][C]286.678157596205[/C][C]-12.1781575962045[/C][/ROW]
[ROW][C]26[/C][C]270.4[/C][C]286.112197039171[/C][C]-15.7121970391708[/C][/ROW]
[ROW][C]27[/C][C]263.4[/C][C]264.635697747966[/C][C]-1.23569774796644[/C][/ROW]
[ROW][C]28[/C][C]259.9[/C][C]265.732941590306[/C][C]-5.83294159030592[/C][/ROW]
[ROW][C]29[/C][C]258[/C][C]269.348505940848[/C][C]-11.3485059408478[/C][/ROW]
[ROW][C]30[/C][C]262.7[/C][C]279.278471740499[/C][C]-16.5784717404988[/C][/ROW]
[ROW][C]31[/C][C]284.7[/C][C]291.747863699059[/C][C]-7.04786369905934[/C][/ROW]
[ROW][C]32[/C][C]311.3[/C][C]297.009667216747[/C][C]14.2903327832528[/C][/ROW]
[ROW][C]33[/C][C]322.1[/C][C]300.498193865084[/C][C]21.6018061349161[/C][/ROW]
[ROW][C]34[/C][C]327[/C][C]300.411705380105[/C][C]26.5882946198949[/C][/ROW]
[ROW][C]35[/C][C]331.3[/C][C]295.406881407326[/C][C]35.893118592674[/C][/ROW]
[ROW][C]36[/C][C]333.3[/C][C]294.362141309886[/C][C]38.937858690114[/C][/ROW]
[ROW][C]37[/C][C]321.4[/C][C]297.515793815006[/C][C]23.8842061849938[/C][/ROW]
[ROW][C]38[/C][C]327[/C][C]298.146378206933[/C][C]28.8536217930667[/C][/ROW]
[ROW][C]39[/C][C]320[/C][C]293.307551539376[/C][C]26.6924484606241[/C][/ROW]
[ROW][C]40[/C][C]314.7[/C][C]301.071260097355[/C][C]13.6287399026453[/C][/ROW]
[ROW][C]41[/C][C]316.7[/C][C]300.071579644762[/C][C]16.6284203552383[/C][/ROW]
[ROW][C]42[/C][C]314.4[/C][C]300.334221967887[/C][C]14.0657780321128[/C][/ROW]
[ROW][C]43[/C][C]321.3[/C][C]307.884484691831[/C][C]13.4155153081693[/C][/ROW]
[ROW][C]44[/C][C]318.2[/C][C]307.695361219808[/C][C]10.5046387801922[/C][/ROW]
[ROW][C]45[/C][C]307.2[/C][C]302.295268247292[/C][C]4.90473175270792[/C][/ROW]
[ROW][C]46[/C][C]301.3[/C][C]297.251664973761[/C][C]4.04833502623907[/C][/ROW]
[ROW][C]47[/C][C]287.5[/C][C]287.68857452875[/C][C]-0.18857452874978[/C][/ROW]
[ROW][C]48[/C][C]277.7[/C][C]290.499368155739[/C][C]-12.7993681557393[/C][/ROW]
[ROW][C]49[/C][C]274.4[/C][C]292.532446819769[/C][C]-18.1324468197692[/C][/ROW]
[ROW][C]50[/C][C]258.8[/C][C]293.163031211696[/C][C]-34.3630312116963[/C][/ROW]
[ROW][C]51[/C][C]253.3[/C][C]287.963341781754[/C][C]-34.6633417817538[/C][/ROW]
[ROW][C]52[/C][C]251[/C][C]289.022600070158[/C][C]-38.022600070158[/C][/ROW]
[ROW][C]53[/C][C]248.4[/C][C]288.7066595884[/C][C]-40.3066595883998[/C][/ROW]
[ROW][C]54[/C][C]249.5[/C][C]289.425128558749[/C][C]-39.9251285587486[/C][/ROW]
[ROW][C]55[/C][C]246.1[/C][C]296.576542966372[/C][C]-50.4765429663718[/C][/ROW]
[ROW][C]56[/C][C]244.5[/C][C]296.14051339377[/C][C]-51.6405133937697[/C][/ROW]
[ROW][C]57[/C][C]243.6[/C][C]290.588478205513[/C][C]-46.9884782055129[/C][/ROW]
[ROW][C]58[/C][C]244[/C][C]294.851335646122[/C][C]-50.8513356461221[/C][/ROW]
[ROW][C]59[/C][C]240.8[/C][C]292.049673801588[/C][C]-51.2496738015884[/C][/ROW]
[ROW][C]60[/C][C]249.8[/C][C]288.061053274165[/C][C]-38.2610532741652[/C][/ROW]
[ROW][C]61[/C][C]248[/C][C]288.726651996525[/C][C]-40.7266519965255[/C][/ROW]
[ROW][C]62[/C][C]259.4[/C][C]289.395221942388[/C][C]-29.9952219423879[/C][/ROW]
[ROW][C]63[/C][C]260.5[/C][C]292.134513284916[/C][C]-31.6345132849161[/C][/ROW]
[ROW][C]64[/C][C]260.8[/C][C]294.447294853184[/C][C]-33.6472948531842[/C][/ROW]
[ROW][C]65[/C][C]261.3[/C][C]293.6185493933[/C][C]-32.3185493932999[/C][/ROW]
[ROW][C]66[/C][C]259.5[/C][C]294.033133932166[/C][C]-34.5331339321665[/C][/ROW]
[ROW][C]67[/C][C]256.6[/C][C]301.279512224628[/C][C]-44.6795122246278[/C][/ROW]
[ROW][C]68[/C][C]257.9[/C][C]300.653554882349[/C][C]-42.7535548823494[/C][/ROW]
[ROW][C]69[/C][C]256.5[/C][C]295.196483578931[/C][C]-38.6964835789308[/C][/ROW]
[ROW][C]70[/C][C]254.2[/C][C]303.580773621516[/C][C]-49.3807736215165[/C][/ROW]
[ROW][C]71[/C][C]253.3[/C][C]293.011065997221[/C][C]-39.7110659972207[/C][/ROW]
[ROW][C]72[/C][C]253.8[/C][C]287.484030535419[/C][C]-33.6840305354192[/C][/ROW]
[ROW][C]73[/C][C]255.5[/C][C]287.978694265071[/C][C]-32.4786942650707[/C][/ROW]
[ROW][C]74[/C][C]257.1[/C][C]288.096473678872[/C][C]-30.9964736788717[/C][/ROW]
[ROW][C]75[/C][C]257.3[/C][C]281.681246523001[/C][C]-24.3812465230007[/C][/ROW]
[ROW][C]76[/C][C]253.2[/C][C]287.317764060605[/C][C]-34.1177640606046[/C][/ROW]
[ROW][C]77[/C][C]252.8[/C][C]287.818512988455[/C][C]-35.0185129884547[/C][/ROW]
[ROW][C]78[/C][C]252[/C][C]287.720292549195[/C][C]-35.7202925491952[/C][/ROW]
[ROW][C]79[/C][C]250.7[/C][C]294.093003101145[/C][C]-43.3930031011454[/C][/ROW]
[ROW][C]80[/C][C]252.2[/C][C]292.726327457129[/C][C]-40.5263274571292[/C][/ROW]
[ROW][C]81[/C][C]250[/C][C]293.973706423285[/C][C]-43.9737064232851[/C][/ROW]
[ROW][C]82[/C][C]251[/C][C]292.025925795478[/C][C]-41.0259257954783[/C][/ROW]
[ROW][C]83[/C][C]253.4[/C][C]283.906286400007[/C][C]-30.5062864000073[/C][/ROW]
[ROW][C]84[/C][C]251.2[/C][C]278.645149815753[/C][C]-27.4451498157526[/C][/ROW]
[ROW][C]85[/C][C]255.6[/C][C]280.887149026426[/C][C]-25.2871490264264[/C][/ROW]
[ROW][C]86[/C][C]261.1[/C][C]280.682051231778[/C][C]-19.5820512317776[/C][/ROW]
[ROW][C]87[/C][C]258.9[/C][C]275.254448478224[/C][C]-16.3544484782236[/C][/ROW]
[ROW][C]88[/C][C]259.9[/C][C]277.624208377394[/C][C]-17.7242083773945[/C][/ROW]
[ROW][C]89[/C][C]261.2[/C][C]278.143950082212[/C][C]-16.9439500822122[/C][/ROW]
[ROW][C]90[/C][C]264.7[/C][C]279.451195138558[/C][C]-14.7511951385576[/C][/ROW]
[ROW][C]91[/C][C]267.1[/C][C]285.387071820252[/C][C]-18.2870718202522[/C][/ROW]
[ROW][C]92[/C][C]266.4[/C][C]289.699236489558[/C][C]-23.2992364895585[/C][/ROW]
[ROW][C]93[/C][C]267.7[/C][C]287.034103400382[/C][C]-19.3341034003819[/C][/ROW]
[ROW][C]94[/C][C]268.6[/C][C]281.401724040854[/C][C]-12.8017240408541[/C][/ROW]
[ROW][C]95[/C][C]267.5[/C][C]272.541366343645[/C][C]-5.04136634364542[/C][/ROW]
[ROW][C]96[/C][C]268.5[/C][C]271.515619023173[/C][C]-3.01561902317303[/C][/ROW]
[ROW][C]97[/C][C]268.5[/C][C]271.64941999044[/C][C]-3.14941999043953[/C][/ROW]
[ROW][C]98[/C][C]270.5[/C][C]270.855546109794[/C][C]-0.355546109794128[/C][/ROW]
[ROW][C]99[/C][C]270.9[/C][C]269.929231497569[/C][C]0.970768502430795[/C][/ROW]
[ROW][C]100[/C][C]270.1[/C][C]266.297273874968[/C][C]3.80272612503207[/C][/ROW]
[ROW][C]101[/C][C]269.3[/C][C]262.163785222715[/C][C]7.13621477728458[/C][/ROW]
[ROW][C]102[/C][C]269.8[/C][C]267.896347312519[/C][C]1.90365268748061[/C][/ROW]
[ROW][C]103[/C][C]270.1[/C][C]273.015534584606[/C][C]-2.91553458460578[/C][/ROW]
[ROW][C]104[/C][C]264.9[/C][C]271.306988955172[/C][C]-6.40698895517226[/C][/ROW]
[ROW][C]105[/C][C]263.7[/C][C]271.072931317853[/C][C]-7.37293131785279[/C][/ROW]
[ROW][C]106[/C][C]264.8[/C][C]264.585876994782[/C][C]0.214123005218484[/C][/ROW]
[ROW][C]107[/C][C]263.7[/C][C]263.398601192497[/C][C]0.301398807503304[/C][/ROW]
[ROW][C]108[/C][C]255.9[/C][C]260.872424491581[/C][C]-4.97242449158128[/C][/ROW]
[ROW][C]109[/C][C]276.2[/C][C]274.358147667094[/C][C]1.84185233290592[/C][/ROW]
[ROW][C]110[/C][C]360.1[/C][C]295.14006842168[/C][C]64.9599315783198[/C][/ROW]
[ROW][C]111[/C][C]380.5[/C][C]319.37918329157[/C][C]61.1208167084304[/C][/ROW]
[ROW][C]112[/C][C]373.7[/C][C]324.48390307408[/C][C]49.2160969259202[/C][/ROW]
[ROW][C]113[/C][C]369.8[/C][C]327.54867689256[/C][C]42.2513231074397[/C][/ROW]
[ROW][C]114[/C][C]366.6[/C][C]328.115203647168[/C][C]38.4847963528321[/C][/ROW]
[ROW][C]115[/C][C]359.3[/C][C]334.032087551895[/C][C]25.267912448105[/C][/ROW]
[ROW][C]116[/C][C]345.8[/C][C]332.570448023041[/C][C]13.2295519769594[/C][/ROW]
[ROW][C]117[/C][C]326.2[/C][C]325.461005123438[/C][C]0.738994876562105[/C][/ROW]
[ROW][C]118[/C][C]324.5[/C][C]320.284452411133[/C][C]4.21554758886665[/C][/ROW]
[ROW][C]119[/C][C]328.1[/C][C]314.861787345066[/C][C]13.2382126549338[/C][/ROW]
[ROW][C]120[/C][C]327.5[/C][C]308.97388912088[/C][C]18.5261108791203[/C][/ROW]
[ROW][C]121[/C][C]324.4[/C][C]308.822798433632[/C][C]15.5772015663683[/C][/ROW]
[ROW][C]122[/C][C]316.5[/C][C]308.636693415951[/C][C]7.86330658404939[/C][/ROW]
[ROW][C]123[/C][C]310.9[/C][C]302.088516821306[/C][C]8.81148317869384[/C][/ROW]
[ROW][C]124[/C][C]301.5[/C][C]301.761302391073[/C][C]-0.261302391073126[/C][/ROW]
[ROW][C]125[/C][C]291.7[/C][C]300.172845852483[/C][C]-8.4728458524835[/C][/ROW]
[ROW][C]126[/C][C]290.4[/C][C]300.2645531829[/C][C]-9.86455318290035[/C][/ROW]
[ROW][C]127[/C][C]287.4[/C][C]306.732227619689[/C][C]-19.3322276196887[/C][/ROW]
[ROW][C]128[/C][C]277.7[/C][C]306.011306392572[/C][C]-28.3113063925721[/C][/ROW]
[ROW][C]129[/C][C]281.6[/C][C]300.345314542509[/C][C]-18.7453145425094[/C][/ROW]
[ROW][C]130[/C][C]288[/C][C]300.239833280563[/C][C]-12.239833280563[/C][/ROW]
[ROW][C]131[/C][C]276[/C][C]295.956734832554[/C][C]-19.9567348325539[/C][/ROW]
[ROW][C]132[/C][C]272.9[/C][C]291.588258765778[/C][C]-18.6882587657781[/C][/ROW]
[ROW][C]133[/C][C]283[/C][C]294.684932939995[/C][C]-11.6849329399954[/C][/ROW]
[ROW][C]134[/C][C]283.3[/C][C]300.842415429504[/C][C]-17.5424154295038[/C][/ROW]
[ROW][C]135[/C][C]276.8[/C][C]293.97136162641[/C][C]-17.1713616264096[/C][/ROW]
[ROW][C]136[/C][C]284.5[/C][C]297.955507567829[/C][C]-13.4555075678294[/C][/ROW]
[ROW][C]137[/C][C]282.7[/C][C]297.867480409683[/C][C]-15.1674804096828[/C][/ROW]
[ROW][C]138[/C][C]281.2[/C][C]297.256454992297[/C][C]-16.0564549922972[/C][/ROW]
[ROW][C]139[/C][C]287.4[/C][C]303.401252220636[/C][C]-16.0012522206359[/C][/ROW]
[ROW][C]140[/C][C]283.1[/C][C]302.148533238425[/C][C]-19.0485332384254[/C][/ROW]
[ROW][C]141[/C][C]284[/C][C]295.646859201787[/C][C]-11.646859201787[/C][/ROW]
[ROW][C]142[/C][C]285.5[/C][C]295.313464616229[/C][C]-9.81346461622891[/C][/ROW]
[ROW][C]143[/C][C]289.2[/C][C]296.120430395546[/C][C]-6.92043039554563[/C][/ROW]
[ROW][C]144[/C][C]292.5[/C][C]290.916272142194[/C][C]1.58372785780613[/C][/ROW]
[ROW][C]145[/C][C]296.4[/C][C]293.917982431573[/C][C]2.48201756842694[/C][/ROW]
[ROW][C]146[/C][C]305.2[/C][C]290.674040322103[/C][C]14.525959677897[/C][/ROW]
[ROW][C]147[/C][C]303.9[/C][C]285.341401453387[/C][C]18.558598546613[/C][/ROW]
[ROW][C]148[/C][C]311.5[/C][C]300.037473604552[/C][C]11.462526395448[/C][/ROW]
[ROW][C]149[/C][C]316.3[/C][C]297.993190418739[/C][C]18.3068095812608[/C][/ROW]
[ROW][C]150[/C][C]316.7[/C][C]302.092373689327[/C][C]14.6076263106733[/C][/ROW]
[ROW][C]151[/C][C]322.5[/C][C]310.04148472959[/C][C]12.4585152704095[/C][/ROW]
[ROW][C]152[/C][C]317.1[/C][C]308.674809085574[/C][C]8.42519091442573[/C][/ROW]
[ROW][C]153[/C][C]309.8[/C][C]302.040185610162[/C][C]7.75981438983763[/C][/ROW]
[ROW][C]154[/C][C]303.8[/C][C]298.402047832236[/C][C]5.39795216776386[/C][/ROW]
[ROW][C]155[/C][C]290.3[/C][C]291.953772809917[/C][C]-1.65377280991684[/C][/ROW]
[ROW][C]156[/C][C]293.7[/C][C]286.369759017212[/C][C]7.33024098278753[/C][/ROW]
[ROW][C]157[/C][C]291.7[/C][C]285.914783898482[/C][C]5.78521610151767[/C][/ROW]
[ROW][C]158[/C][C]296.5[/C][C]285.006953356031[/C][C]11.4930466439689[/C][/ROW]
[ROW][C]159[/C][C]289.1[/C][C]285.125241477026[/C][C]3.97475852297404[/C][/ROW]
[ROW][C]160[/C][C]288.5[/C][C]291.730390639979[/C][C]-3.23039063997919[/C][/ROW]
[ROW][C]161[/C][C]293.8[/C][C]289.686107454166[/C][C]4.11389254583365[/C][/ROW]
[ROW][C]162[/C][C]297.7[/C][C]289.170045921619[/C][C]8.52995407838108[/C][/ROW]
[ROW][C]163[/C][C]305.4[/C][C]295.29585037299[/C][C]10.1041496270101[/C][/ROW]
[ROW][C]164[/C][C]302.7[/C][C]293.929174728974[/C][C]8.77082527102625[/C][/ROW]
[ROW][C]165[/C][C]302.5[/C][C]302.184888396186[/C][C]0.315111603813593[/C][/ROW]
[ROW][C]166[/C][C]303[/C][C]297.692075654717[/C][C]5.30792434528332[/C][/ROW]
[ROW][C]167[/C][C]294.5[/C][C]287.597187454612[/C][C]6.90281254538823[/C][/ROW]
[ROW][C]168[/C][C]294.1[/C][C]282.279072539454[/C][C]11.8209274605458[/C][/ROW]
[ROW][C]169[/C][C]294.5[/C][C]282.716757938203[/C][C]11.7832420617971[/C][/ROW]
[ROW][C]170[/C][C]297.1[/C][C]283.043457898648[/C][C]14.0565421013522[/C][/ROW]
[ROW][C]171[/C][C]289.4[/C][C]281.756280524038[/C][C]7.64371947596214[/C][/ROW]
[ROW][C]172[/C][C]292.4[/C][C]291.134375124265[/C][C]1.26562487573447[/C][/ROW]
[ROW][C]173[/C][C]287.9[/C][C]290.096709117737[/C][C]-2.19670911773728[/C][/ROW]
[ROW][C]174[/C][C]286.6[/C][C]290.435322548733[/C][C]-3.8353225487333[/C][/ROW]
[ROW][C]175[/C][C]280.5[/C][C]297.282852524874[/C][C]-16.7828525248744[/C][/ROW]
[ROW][C]176[/C][C]272.4[/C][C]296.54293852079[/C][C]-24.1429385207901[/C][/ROW]
[ROW][C]177[/C][C]269.2[/C][C]290.003278930216[/C][C]-20.8032789302164[/C][/ROW]
[ROW][C]178[/C][C]270.6[/C][C]290.429595423364[/C][C]-19.8295954233636[/C][/ROW]
[ROW][C]179[/C][C]267.3[/C][C]281.854129380669[/C][C]-14.5541293806694[/C][/ROW]
[ROW][C]180[/C][C]262.5[/C][C]276.9538555588[/C][C]-14.4538555587998[/C][/ROW]
[ROW][C]181[/C][C]266.8[/C][C]279.822616409406[/C][C]-13.0226164094055[/C][/ROW]
[ROW][C]182[/C][C]268.8[/C][C]275.192201581298[/C][C]-6.39220158129818[/C][/ROW]
[ROW][C]183[/C][C]263.1[/C][C]268.017263346722[/C][C]-4.9172633467218[/C][/ROW]
[ROW][C]184[/C][C]261.2[/C][C]269.190478296932[/C][C]-7.99047829693187[/C][/ROW]
[ROW][C]185[/C][C]266[/C][C]269.121443915753[/C][C]-3.12144391575291[/C][/ROW]
[ROW][C]186[/C][C]262.5[/C][C]270.409696195131[/C][C]-7.90969619513064[/C][/ROW]
[ROW][C]187[/C][C]265.2[/C][C]272.148169166978[/C][C]-6.94816916697831[/C][/ROW]
[ROW][C]188[/C][C]261.3[/C][C]267.26782978395[/C][C]-5.96782978394994[/C][/ROW]
[ROW][C]189[/C][C]253.7[/C][C]262.513491228334[/C][C]-8.81349122833374[/C][/ROW]
[ROW][C]190[/C][C]249.2[/C][C]258.514490688022[/C][C]-9.31449068802246[/C][/ROW]
[ROW][C]191[/C][C]239.1[/C][C]250.071974084102[/C][C]-10.9719740841017[/C][/ROW]
[ROW][C]192[/C][C]236.4[/C][C]246.520187426934[/C][C]-10.120187426934[/C][/ROW]
[ROW][C]193[/C][C]235.2[/C][C]248.439309429158[/C][C]-13.2393094291581[/C][/ROW]
[ROW][C]194[/C][C]245.2[/C][C]250.038525446434[/C][C]-4.83852544643449[/C][/ROW]
[ROW][C]195[/C][C]246.2[/C][C]245.503583210359[/C][C]0.696416789640826[/C][/ROW]
[ROW][C]196[/C][C]247.7[/C][C]252.887436228985[/C][C]-5.18743622898535[/C][/ROW]
[ROW][C]197[/C][C]251.4[/C][C]254.679693990634[/C][C]-3.27969399063444[/C][/ROW]
[ROW][C]198[/C][C]253.3[/C][C]255.891975162142[/C][C]-2.59197516214164[/C][/ROW]
[ROW][C]199[/C][C]254.8[/C][C]263.898064533308[/C][C]-9.09806453330834[/C][/ROW]
[ROW][C]200[/C][C]250[/C][C]277.364747701014[/C][C]-27.3647477010139[/C][/ROW]
[ROW][C]201[/C][C]249.3[/C][C]272.629401922365[/C][C]-23.3294019223653[/C][/ROW]
[ROW][C]202[/C][C]241.5[/C][C]268.649394159022[/C][C]-27.1493941590217[/C][/ROW]
[ROW][C]203[/C][C]243.3[/C][C]260.700689756259[/C][C]-17.4006897562593[/C][/ROW]
[ROW][C]204[/C][C]248[/C][C]256.712069228836[/C][C]-8.71206922883615[/C][/ROW]
[ROW][C]205[/C][C]253[/C][C]258.688169561963[/C][C]-5.68816956196309[/C][/ROW]
[ROW][C]206[/C][C]252.9[/C][C]274.209091096515[/C][C]-21.3090910965148[/C][/ROW]
[ROW][C]207[/C][C]251.5[/C][C]307.887616119318[/C][C]-56.387616119318[/C][/ROW]
[ROW][C]208[/C][C]251.6[/C][C]308.092199444179[/C][C]-56.4921994441787[/C][/ROW]
[ROW][C]209[/C][C]253.5[/C][C]307.662302300615[/C][C]-54.1623023006147[/C][/ROW]
[ROW][C]210[/C][C]259.8[/C][C]312.027384448749[/C][C]-52.2273844487491[/C][/ROW]
[ROW][C]211[/C][C]334.1[/C][C]318.55203721644[/C][C]15.5479627835597[/C][/ROW]
[ROW][C]212[/C][C]448[/C][C]357.260120974131[/C][C]90.7398790258693[/C][/ROW]
[ROW][C]213[/C][C]445.8[/C][C]380.539121222741[/C][C]65.2608787772586[/C][/ROW]
[ROW][C]214[/C][C]445[/C][C]382.56083098117[/C][C]62.43916901883[/C][/ROW]
[ROW][C]215[/C][C]448.2[/C][C]374.631119355375[/C][C]73.5688806446247[/C][/ROW]
[ROW][C]216[/C][C]438.2[/C][C]364.393875205601[/C][C]73.8061247943993[/C][/ROW]
[ROW][C]217[/C][C]439.8[/C][C]363.521058993583[/C][C]76.2789410064174[/C][/ROW]
[ROW][C]218[/C][C]423.4[/C][C]364.322578378218[/C][C]59.0774216217815[/C][/ROW]
[ROW][C]219[/C][C]410.8[/C][C]356.729799050354[/C][C]54.0702009496459[/C][/ROW]
[ROW][C]220[/C][C]408.4[/C][C]357.675100676953[/C][C]50.7248993230474[/C][/ROW]
[ROW][C]221[/C][C]406.7[/C][C]364.595408219863[/C][C]42.1045917801373[/C][/ROW]
[ROW][C]222[/C][C]405.9[/C][C]360.717625164044[/C][C]45.1823748359559[/C][/ROW]
[ROW][C]223[/C][C]402.7[/C][C]365.950769097936[/C][C]36.7492309020636[/C][/ROW]
[ROW][C]224[/C][C]405.1[/C][C]360.481653628911[/C][C]44.6183463710886[/C][/ROW]
[ROW][C]225[/C][C]399.6[/C][C]353.998972369241[/C][C]45.6010276307595[/C][/ROW]
[ROW][C]226[/C][C]386.5[/C][C]344.890914824636[/C][C]41.6090851753642[/C][/ROW]
[ROW][C]227[/C][C]381.4[/C][C]337.701921500579[/C][C]43.6980784994211[/C][/ROW]
[ROW][C]228[/C][C]375.2[/C][C]335.04279536089[/C][C]40.15720463911[/C][/ROW]
[ROW][C]229[/C][C]357.7[/C][C]325.927113944919[/C][C]31.772886055081[/C][/ROW]
[ROW][C]230[/C][C]359[/C][C]333.376105268227[/C][C]25.6238947317735[/C][/ROW]
[ROW][C]231[/C][C]355[/C][C]328.879148586086[/C][C]26.1208514139135[/C][/ROW]
[ROW][C]232[/C][C]352.7[/C][C]325.722010387676[/C][C]26.9779896123239[/C][/ROW]
[ROW][C]233[/C][C]344.4[/C][C]328.311964781966[/C][C]16.0880352180342[/C][/ROW]
[ROW][C]234[/C][C]343.8[/C][C]328.650578212962[/C][C]15.1494217870381[/C][/ROW]
[ROW][C]235[/C][C]338[/C][C]342.734356213771[/C][C]-4.73435621377126[/C][/ROW]
[ROW][C]236[/C][C]339[/C][C]374.206191946793[/C][C]-35.2061919467933[/C][/ROW]
[ROW][C]237[/C][C]333.3[/C][C]374.181054856118[/C][C]-40.8810548561178[/C][/ROW]
[ROW][C]238[/C][C]334.4[/C][C]376.050822398805[/C][C]-41.6508223988053[/C][/ROW]
[ROW][C]239[/C][C]328.3[/C][C]368.709886859007[/C][C]-40.4098868590072[/C][/ROW]
[ROW][C]240[/C][C]330.7[/C][C]351.483300785144[/C][C]-20.7833007851435[/C][/ROW]
[ROW][C]241[/C][C]330[/C][C]345.216535914318[/C][C]-15.2165359143175[/C][/ROW]
[ROW][C]242[/C][C]331.6[/C][C]383.794688687576[/C][C]-52.1946886875762[/C][/ROW]
[ROW][C]243[/C][C]351.2[/C][C]463.511705079923[/C][C]-112.311705079923[/C][/ROW]
[ROW][C]244[/C][C]389.4[/C][C]447.040630227201[/C][C]-57.6406302272014[/C][/ROW]
[ROW][C]245[/C][C]410.9[/C][C]494.757422696588[/C][C]-83.8574226965882[/C][/ROW]
[ROW][C]246[/C][C]442.8[/C][C]497.413154917635[/C][C]-54.6131549176355[/C][/ROW]
[ROW][C]247[/C][C]462.8[/C][C]431.84122631619[/C][C]30.9587736838097[/C][/ROW]
[ROW][C]248[/C][C]466.9[/C][C]420.617299425972[/C][C]46.2827005740276[/C][/ROW]
[ROW][C]249[/C][C]461.7[/C][C]407.734052328209[/C][C]53.965947671791[/C][/ROW]
[ROW][C]250[/C][C]439.2[/C][C]393.915786095631[/C][C]45.2842139043687[/C][/ROW]
[ROW][C]251[/C][C]430.3[/C][C]377.059469295049[/C][C]53.2405307049511[/C][/ROW]
[ROW][C]252[/C][C]416.1[/C][C]388.568954773215[/C][C]27.5310452267855[/C][/ROW]
[ROW][C]253[/C][C]402.5[/C][C]391.019874530532[/C][C]11.4801254694677[/C][/ROW]
[ROW][C]254[/C][C]397.3[/C][C]406.863673273534[/C][C]-9.56367327353384[/C][/ROW]
[ROW][C]255[/C][C]403.3[/C][C]374.618269441681[/C][C]28.6817305583187[/C][/ROW]
[ROW][C]256[/C][C]395.9[/C][C]380.235794202318[/C][C]15.6642057976824[/C][/ROW]
[ROW][C]257[/C][C]387.8[/C][C]359.578589588224[/C][C]28.221410411776[/C][/ROW]
[ROW][C]258[/C][C]378.6[/C][C]359.138499163547[/C][C]19.461500836453[/C][/ROW]
[ROW][C]259[/C][C]377.1[/C][C]369.974512302891[/C][C]7.12548769710885[/C][/ROW]
[ROW][C]260[/C][C]370.4[/C][C]369.120641637001[/C][C]1.27935836299888[/C][/ROW]
[ROW][C]261[/C][C]362[/C][C]349.437980384825[/C][C]12.562019615175[/C][/ROW]
[ROW][C]262[/C][C]350.3[/C][C]343.387759932009[/C][C]6.9122400679907[/C][/ROW]
[ROW][C]263[/C][C]348.2[/C][C]346.283931177766[/C][C]1.91606882223432[/C][/ROW]
[ROW][C]264[/C][C]344.6[/C][C]345.84695994329[/C][C]-1.2469599432899[/C][/ROW]
[ROW][C]265[/C][C]343.5[/C][C]346.398602003844[/C][C]-2.89860200384436[/C][/ROW]
[ROW][C]266[/C][C]342.8[/C][C]343.382573217986[/C][C]-0.582573217985868[/C][/ROW]
[ROW][C]267[/C][C]347.6[/C][C]341.962446404602[/C][C]5.63755359539762[/C][/ROW]
[ROW][C]268[/C][C]346.6[/C][C]341.578253643466[/C][C]5.02174635653351[/C][/ROW]
[ROW][C]269[/C][C]349.5[/C][C]339.647927119459[/C][C]9.85207288054053[/C][/ROW]
[ROW][C]270[/C][C]342.1[/C][C]342.303659340507[/C][C]-0.203659340506789[/C][/ROW]
[ROW][C]271[/C][C]342[/C][C]339.920699710378[/C][C]2.07930028962199[/C][/ROW]
[ROW][C]272[/C][C]342.8[/C][C]336.55978248476[/C][C]6.24021751523966[/C][/ROW]
[ROW][C]273[/C][C]339.3[/C][C]324.892073112926[/C][C]14.4079268870745[/C][/ROW]
[ROW][C]274[/C][C]348.2[/C][C]321.899689751899[/C][C]26.3003102481011[/C][/ROW]
[ROW][C]275[/C][C]333.7[/C][C]331.272397943618[/C][C]2.42760205638178[/C][/ROW]
[ROW][C]276[/C][C]334.7[/C][C]352.012373028054[/C][C]-17.3123730280538[/C][/ROW]
[ROW][C]277[/C][C]354[/C][C]337.312815183599[/C][C]16.6871848164015[/C][/ROW]
[ROW][C]278[/C][C]367.7[/C][C]330.156361018796[/C][C]37.543638981204[/C][/ROW]
[ROW][C]279[/C][C]363.3[/C][C]328.584291989671[/C][C]34.7157080103286[/C][/ROW]
[ROW][C]280[/C][C]358.4[/C][C]323.091042224242[/C][C]35.3089577757578[/C][/ROW]
[ROW][C]281[/C][C]353.1[/C][C]322.072368994682[/C][C]31.0276310053185[/C][/ROW]
[ROW][C]282[/C][C]343.1[/C][C]314.377037768369[/C][C]28.7229622316314[/C][/ROW]
[ROW][C]283[/C][C]344.6[/C][C]322.724997124953[/C][C]21.8750028750473[/C][/ROW]
[ROW][C]284[/C][C]344.4[/C][C]316.629120015996[/C][C]27.7708799840042[/C][/ROW]
[ROW][C]285[/C][C]333.9[/C][C]311.342983705286[/C][C]22.5570162947141[/C][/ROW]
[ROW][C]286[/C][C]331.7[/C][C]310.572755249472[/C][C]21.1272447505277[/C][/ROW]
[ROW][C]287[/C][C]324.3[/C][C]305.643902384564[/C][C]18.6560976154364[/C][/ROW]
[ROW][C]288[/C][C]321.2[/C][C]300.268809138503[/C][C]20.9311908614967[/C][/ROW]
[ROW][C]289[/C][C]322.4[/C][C]296.964917474628[/C][C]25.4350825253719[/C][/ROW]
[ROW][C]290[/C][C]321.7[/C][C]287.434366188871[/C][C]34.2656338111287[/C][/ROW]
[ROW][C]291[/C][C]320.5[/C][C]284.190932786595[/C][C]36.3090672134049[/C][/ROW]
[ROW][C]292[/C][C]312.8[/C][C]292.695359646312[/C][C]20.1046403536884[/C][/ROW]
[ROW][C]293[/C][C]309.7[/C][C]301.287031562373[/C][C]8.4129684376265[/C][/ROW]
[ROW][C]294[/C][C]315.6[/C][C]283.582506874118[/C][C]32.0174931258822[/C][/ROW]
[ROW][C]295[/C][C]309.7[/C][C]291.797516791928[/C][C]17.9024832080715[/C][/ROW]
[ROW][C]296[/C][C]304.6[/C][C]294.457309865051[/C][C]10.1426901349494[/C][/ROW]
[ROW][C]297[/C][C]302.5[/C][C]292.475916746709[/C][C]10.0240832532912[/C][/ROW]
[ROW][C]298[/C][C]301.5[/C][C]278.410744413552[/C][C]23.0892555864482[/C][/ROW]
[ROW][C]299[/C][C]298.8[/C][C]276.672678079206[/C][C]22.1273219207944[/C][/ROW]
[ROW][C]300[/C][C]291.3[/C][C]272.418158674236[/C][C]18.8818413257644[/C][/ROW]
[ROW][C]301[/C][C]293.6[/C][C]279.332381018947[/C][C]14.2676189810528[/C][/ROW]
[ROW][C]302[/C][C]294.6[/C][C]279.051312116428[/C][C]15.5486878835721[/C][/ROW]
[ROW][C]303[/C][C]285.9[/C][C]285.228296090098[/C][C]0.671703909902108[/C][/ROW]
[ROW][C]304[/C][C]297.6[/C][C]293.485816849235[/C][C]4.11418315076486[/C][/ROW]
[ROW][C]305[/C][C]301.1[/C][C]283.369603452178[/C][C]17.7303965478219[/C][/ROW]
[ROW][C]306[/C][C]293.8[/C][C]280.992249776803[/C][C]12.8077502231974[/C][/ROW]
[ROW][C]307[/C][C]297.7[/C][C]276.823969111716[/C][C]20.8760308882837[/C][/ROW]
[ROW][C]308[/C][C]292.9[/C][C]274.811539050801[/C][C]18.0884609491994[/C][/ROW]
[ROW][C]309[/C][C]292.1[/C][C]281.433873898797[/C][C]10.6661261012032[/C][/ROW]
[ROW][C]310[/C][C]287.2[/C][C]278.498468868673[/C][C]8.70153113132701[/C][/ROW]
[ROW][C]311[/C][C]288.2[/C][C]277.463135282129[/C][C]10.7368647178708[/C][/ROW]
[ROW][C]312[/C][C]283.8[/C][C]261.433094157226[/C][C]22.3669058427736[/C][/ROW]
[ROW][C]313[/C][C]299.9[/C][C]272.316806888173[/C][C]27.5831931118265[/C][/ROW]
[ROW][C]314[/C][C]292.4[/C][C]272.206672978363[/C][C]20.1933270216371[/C][/ROW]
[ROW][C]315[/C][C]293.3[/C][C]262.448717076188[/C][C]30.8512829238117[/C][/ROW]
[ROW][C]316[/C][C]300.8[/C][C]269.813577317847[/C][C]30.9864226821531[/C][/ROW]
[ROW][C]317[/C][C]293.7[/C][C]273.846982761677[/C][C]19.8530172383232[/C][/ROW]
[ROW][C]318[/C][C]293.1[/C][C]269.87423582102[/C][C]23.22576417898[/C][/ROW]
[ROW][C]319[/C][C]294.4[/C][C]286.389089273686[/C][C]8.0109107263135[/C][/ROW]
[ROW][C]320[/C][C]292.1[/C][C]282.306446523299[/C][C]9.79355347670128[/C][/ROW]
[ROW][C]321[/C][C]291.9[/C][C]279.508363995349[/C][C]12.3916360046512[/C][/ROW]
[ROW][C]322[/C][C]282.5[/C][C]274.274832952141[/C][C]8.22516704785867[/C][/ROW]
[ROW][C]323[/C][C]277.9[/C][C]268.434326792786[/C][C]9.46567320721369[/C][/ROW]
[ROW][C]324[/C][C]287.5[/C][C]268.776059413983[/C][C]18.7239405860165[/C][/ROW]
[ROW][C]325[/C][C]289.2[/C][C]283.762211969939[/C][C]5.43778803006062[/C][/ROW]
[ROW][C]326[/C][C]285.6[/C][C]286.804879036756[/C][C]-1.20487903675591[/C][/ROW]
[ROW][C]327[/C][C]293.2[/C][C]287.720863790391[/C][C]5.47913620960859[/C][/ROW]
[ROW][C]328[/C][C]290.8[/C][C]286.292068296036[/C][C]4.50793170396436[/C][/ROW]
[ROW][C]329[/C][C]283.1[/C][C]290.458423178639[/C][C]-7.35842317863894[/C][/ROW]
[ROW][C]330[/C][C]275[/C][C]303.294283854338[/C][C]-28.2942838543378[/C][/ROW]
[ROW][C]331[/C][C]287.8[/C][C]296.239101090171[/C][C]-8.43910109017118[/C][/ROW]
[ROW][C]332[/C][C]287.8[/C][C]299.582634134128[/C][C]-11.7826341341281[/C][/ROW]
[ROW][C]333[/C][C]287.4[/C][C]308.80697942669[/C][C]-21.4069794266901[/C][/ROW]
[ROW][C]334[/C][C]284[/C][C]303.687405045288[/C][C]-19.6874050452885[/C][/ROW]
[ROW][C]335[/C][C]277.8[/C][C]311.863568288047[/C][C]-34.0635682880469[/C][/ROW]
[ROW][C]336[/C][C]277.6[/C][C]327.665421360898[/C][C]-50.0654213608978[/C][/ROW]
[ROW][C]337[/C][C]304.9[/C][C]331.996626038011[/C][C]-27.0966260380113[/C][/ROW]
[ROW][C]338[/C][C]294[/C][C]360.489614241457[/C][C]-66.4896142414566[/C][/ROW]
[ROW][C]339[/C][C]300.9[/C][C]383.342256392709[/C][C]-82.4422563927087[/C][/ROW]
[ROW][C]340[/C][C]324[/C][C]371.619375781896[/C][C]-47.6193757818957[/C][/ROW]
[ROW][C]341[/C][C]332.9[/C][C]367.314952136934[/C][C]-34.4149521369344[/C][/ROW]
[ROW][C]342[/C][C]341.6[/C][C]356.846675473347[/C][C]-15.246675473347[/C][/ROW]
[ROW][C]343[/C][C]333.4[/C][C]347.170489487647[/C][C]-13.770489487647[/C][/ROW]
[ROW][C]344[/C][C]348.2[/C][C]348.53877372697[/C][C]-0.338773726970079[/C][/ROW]
[ROW][C]345[/C][C]344.7[/C][C]335.807468844948[/C][C]8.89253115505218[/C][/ROW]
[ROW][C]346[/C][C]344.7[/C][C]351.428006912202[/C][C]-6.7280069122019[/C][/ROW]
[ROW][C]347[/C][C]329.3[/C][C]351.152384404363[/C][C]-21.8523844043634[/C][/ROW]
[ROW][C]348[/C][C]323.5[/C][C]348.797142696157[/C][C]-25.2971426961568[/C][/ROW]
[ROW][C]349[/C][C]323.2[/C][C]380.743845084209[/C][C]-57.5438450842093[/C][/ROW]
[ROW][C]350[/C][C]317.4[/C][C]365.382511269389[/C][C]-47.982511269389[/C][/ROW]
[ROW][C]351[/C][C]330.1[/C][C]350.249599485374[/C][C]-20.1495994853742[/C][/ROW]
[ROW][C]352[/C][C]329.2[/C][C]354.898492620661[/C][C]-25.6984926206612[/C][/ROW]
[ROW][C]353[/C][C]334.9[/C][C]349.47349513461[/C][C]-14.5734951346096[/C][/ROW]
[ROW][C]354[/C][C]315.8[/C][C]338.739319593475[/C][C]-22.9393195934754[/C][/ROW]
[ROW][C]355[/C][C]315.4[/C][C]350.05015215701[/C][C]-34.6501521570103[/C][/ROW]
[ROW][C]356[/C][C]319.6[/C][C]363.174965339298[/C][C]-43.5749653392984[/C][/ROW]
[ROW][C]357[/C][C]317.3[/C][C]352.437902038878[/C][C]-35.1379020388777[/C][/ROW]
[ROW][C]358[/C][C]313.8[/C][C]346.80552267935[/C][C]-33.0055226793499[/C][/ROW]
[ROW][C]359[/C][C]315.8[/C][C]362.521818378259[/C][C]-46.7218183782588[/C][/ROW]
[ROW][C]360[/C][C]311.3[/C][C]374.810007712098[/C][C]-63.5100077120975[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=185605&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=185605&T=4

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

 Multiple Linear Regression - Actuals, Interpolation, and Residuals Time or Index Actuals InterpolationForecast ResidualsPrediction Error 1 255 296.037082723714 -41.0370827237142 2 280.2 298.547952035437 -18.3479520354373 3 299.9 294.544807554456 5.35519244554446 4 339.2 296.64866857608 42.5513314239204 5 374.2 299.086680754628 75.1133192453717 6 393.5 307.573195504739 85.926804495261 7 389.2 316.471945393384 72.7280546066155 8 381.7 317.213467992776 64.4865320072243 9 375.2 312.098266674774 63.1017333252256 10 369 308.004302249625 60.9956977503751 11 357.4 299.580778422672 57.8192215773282 12 352.1 295.972013434601 56.1279865653988 13 346.5 297.416316012634 49.0836839873655 14 342.9 299.452365900166 43.4476340998336 15 340.3 295.012387548929 45.2876124510707 16 328.3 296.717400254233 31.5825997457669 17 322.9 297.199156405116 25.7008435948845 18 314.3 299.095177547457 15.2048224525425 19 308.9 307.443136904042 1.45686309595839 20 294 308.298616165239 -14.2986161652385 21 285.6 303.221400401173 -17.6214004011725 22 281.2 298.177797127641 -16.9777971276414 23 280.3 289.089526106821 -8.78952610682109 24 278.8 285.157883910301 -6.35788391030077 25 274.5 286.678157596205 -12.1781575962045 26 270.4 286.112197039171 -15.7121970391708 27 263.4 264.635697747966 -1.23569774796644 28 259.9 265.732941590306 -5.83294159030592 29 258 269.348505940848 -11.3485059408478 30 262.7 279.278471740499 -16.5784717404988 31 284.7 291.747863699059 -7.04786369905934 32 311.3 297.009667216747 14.2903327832528 33 322.1 300.498193865084 21.6018061349161 34 327 300.411705380105 26.5882946198949 35 331.3 295.406881407326 35.893118592674 36 333.3 294.362141309886 38.937858690114 37 321.4 297.515793815006 23.8842061849938 38 327 298.146378206933 28.8536217930667 39 320 293.307551539376 26.6924484606241 40 314.7 301.071260097355 13.6287399026453 41 316.7 300.071579644762 16.6284203552383 42 314.4 300.334221967887 14.0657780321128 43 321.3 307.884484691831 13.4155153081693 44 318.2 307.695361219808 10.5046387801922 45 307.2 302.295268247292 4.90473175270792 46 301.3 297.251664973761 4.04833502623907 47 287.5 287.68857452875 -0.18857452874978 48 277.7 290.499368155739 -12.7993681557393 49 274.4 292.532446819769 -18.1324468197692 50 258.8 293.163031211696 -34.3630312116963 51 253.3 287.963341781754 -34.6633417817538 52 251 289.022600070158 -38.022600070158 53 248.4 288.7066595884 -40.3066595883998 54 249.5 289.425128558749 -39.9251285587486 55 246.1 296.576542966372 -50.4765429663718 56 244.5 296.14051339377 -51.6405133937697 57 243.6 290.588478205513 -46.9884782055129 58 244 294.851335646122 -50.8513356461221 59 240.8 292.049673801588 -51.2496738015884 60 249.8 288.061053274165 -38.2610532741652 61 248 288.726651996525 -40.7266519965255 62 259.4 289.395221942388 -29.9952219423879 63 260.5 292.134513284916 -31.6345132849161 64 260.8 294.447294853184 -33.6472948531842 65 261.3 293.6185493933 -32.3185493932999 66 259.5 294.033133932166 -34.5331339321665 67 256.6 301.279512224628 -44.6795122246278 68 257.9 300.653554882349 -42.7535548823494 69 256.5 295.196483578931 -38.6964835789308 70 254.2 303.580773621516 -49.3807736215165 71 253.3 293.011065997221 -39.7110659972207 72 253.8 287.484030535419 -33.6840305354192 73 255.5 287.978694265071 -32.4786942650707 74 257.1 288.096473678872 -30.9964736788717 75 257.3 281.681246523001 -24.3812465230007 76 253.2 287.317764060605 -34.1177640606046 77 252.8 287.818512988455 -35.0185129884547 78 252 287.720292549195 -35.7202925491952 79 250.7 294.093003101145 -43.3930031011454 80 252.2 292.726327457129 -40.5263274571292 81 250 293.973706423285 -43.9737064232851 82 251 292.025925795478 -41.0259257954783 83 253.4 283.906286400007 -30.5062864000073 84 251.2 278.645149815753 -27.4451498157526 85 255.6 280.887149026426 -25.2871490264264 86 261.1 280.682051231778 -19.5820512317776 87 258.9 275.254448478224 -16.3544484782236 88 259.9 277.624208377394 -17.7242083773945 89 261.2 278.143950082212 -16.9439500822122 90 264.7 279.451195138558 -14.7511951385576 91 267.1 285.387071820252 -18.2870718202522 92 266.4 289.699236489558 -23.2992364895585 93 267.7 287.034103400382 -19.3341034003819 94 268.6 281.401724040854 -12.8017240408541 95 267.5 272.541366343645 -5.04136634364542 96 268.5 271.515619023173 -3.01561902317303 97 268.5 271.64941999044 -3.14941999043953 98 270.5 270.855546109794 -0.355546109794128 99 270.9 269.929231497569 0.970768502430795 100 270.1 266.297273874968 3.80272612503207 101 269.3 262.163785222715 7.13621477728458 102 269.8 267.896347312519 1.90365268748061 103 270.1 273.015534584606 -2.91553458460578 104 264.9 271.306988955172 -6.40698895517226 105 263.7 271.072931317853 -7.37293131785279 106 264.8 264.585876994782 0.214123005218484 107 263.7 263.398601192497 0.301398807503304 108 255.9 260.872424491581 -4.97242449158128 109 276.2 274.358147667094 1.84185233290592 110 360.1 295.14006842168 64.9599315783198 111 380.5 319.37918329157 61.1208167084304 112 373.7 324.48390307408 49.2160969259202 113 369.8 327.54867689256 42.2513231074397 114 366.6 328.115203647168 38.4847963528321 115 359.3 334.032087551895 25.267912448105 116 345.8 332.570448023041 13.2295519769594 117 326.2 325.461005123438 0.738994876562105 118 324.5 320.284452411133 4.21554758886665 119 328.1 314.861787345066 13.2382126549338 120 327.5 308.97388912088 18.5261108791203 121 324.4 308.822798433632 15.5772015663683 122 316.5 308.636693415951 7.86330658404939 123 310.9 302.088516821306 8.81148317869384 124 301.5 301.761302391073 -0.261302391073126 125 291.7 300.172845852483 -8.4728458524835 126 290.4 300.2645531829 -9.86455318290035 127 287.4 306.732227619689 -19.3322276196887 128 277.7 306.011306392572 -28.3113063925721 129 281.6 300.345314542509 -18.7453145425094 130 288 300.239833280563 -12.239833280563 131 276 295.956734832554 -19.9567348325539 132 272.9 291.588258765778 -18.6882587657781 133 283 294.684932939995 -11.6849329399954 134 283.3 300.842415429504 -17.5424154295038 135 276.8 293.97136162641 -17.1713616264096 136 284.5 297.955507567829 -13.4555075678294 137 282.7 297.867480409683 -15.1674804096828 138 281.2 297.256454992297 -16.0564549922972 139 287.4 303.401252220636 -16.0012522206359 140 283.1 302.148533238425 -19.0485332384254 141 284 295.646859201787 -11.646859201787 142 285.5 295.313464616229 -9.81346461622891 143 289.2 296.120430395546 -6.92043039554563 144 292.5 290.916272142194 1.58372785780613 145 296.4 293.917982431573 2.48201756842694 146 305.2 290.674040322103 14.525959677897 147 303.9 285.341401453387 18.558598546613 148 311.5 300.037473604552 11.462526395448 149 316.3 297.993190418739 18.3068095812608 150 316.7 302.092373689327 14.6076263106733 151 322.5 310.04148472959 12.4585152704095 152 317.1 308.674809085574 8.42519091442573 153 309.8 302.040185610162 7.75981438983763 154 303.8 298.402047832236 5.39795216776386 155 290.3 291.953772809917 -1.65377280991684 156 293.7 286.369759017212 7.33024098278753 157 291.7 285.914783898482 5.78521610151767 158 296.5 285.006953356031 11.4930466439689 159 289.1 285.125241477026 3.97475852297404 160 288.5 291.730390639979 -3.23039063997919 161 293.8 289.686107454166 4.11389254583365 162 297.7 289.170045921619 8.52995407838108 163 305.4 295.29585037299 10.1041496270101 164 302.7 293.929174728974 8.77082527102625 165 302.5 302.184888396186 0.315111603813593 166 303 297.692075654717 5.30792434528332 167 294.5 287.597187454612 6.90281254538823 168 294.1 282.279072539454 11.8209274605458 169 294.5 282.716757938203 11.7832420617971 170 297.1 283.043457898648 14.0565421013522 171 289.4 281.756280524038 7.64371947596214 172 292.4 291.134375124265 1.26562487573447 173 287.9 290.096709117737 -2.19670911773728 174 286.6 290.435322548733 -3.8353225487333 175 280.5 297.282852524874 -16.7828525248744 176 272.4 296.54293852079 -24.1429385207901 177 269.2 290.003278930216 -20.8032789302164 178 270.6 290.429595423364 -19.8295954233636 179 267.3 281.854129380669 -14.5541293806694 180 262.5 276.9538555588 -14.4538555587998 181 266.8 279.822616409406 -13.0226164094055 182 268.8 275.192201581298 -6.39220158129818 183 263.1 268.017263346722 -4.9172633467218 184 261.2 269.190478296932 -7.99047829693187 185 266 269.121443915753 -3.12144391575291 186 262.5 270.409696195131 -7.90969619513064 187 265.2 272.148169166978 -6.94816916697831 188 261.3 267.26782978395 -5.96782978394994 189 253.7 262.513491228334 -8.81349122833374 190 249.2 258.514490688022 -9.31449068802246 191 239.1 250.071974084102 -10.9719740841017 192 236.4 246.520187426934 -10.120187426934 193 235.2 248.439309429158 -13.2393094291581 194 245.2 250.038525446434 -4.83852544643449 195 246.2 245.503583210359 0.696416789640826 196 247.7 252.887436228985 -5.18743622898535 197 251.4 254.679693990634 -3.27969399063444 198 253.3 255.891975162142 -2.59197516214164 199 254.8 263.898064533308 -9.09806453330834 200 250 277.364747701014 -27.3647477010139 201 249.3 272.629401922365 -23.3294019223653 202 241.5 268.649394159022 -27.1493941590217 203 243.3 260.700689756259 -17.4006897562593 204 248 256.712069228836 -8.71206922883615 205 253 258.688169561963 -5.68816956196309 206 252.9 274.209091096515 -21.3090910965148 207 251.5 307.887616119318 -56.387616119318 208 251.6 308.092199444179 -56.4921994441787 209 253.5 307.662302300615 -54.1623023006147 210 259.8 312.027384448749 -52.2273844487491 211 334.1 318.55203721644 15.5479627835597 212 448 357.260120974131 90.7398790258693 213 445.8 380.539121222741 65.2608787772586 214 445 382.56083098117 62.43916901883 215 448.2 374.631119355375 73.5688806446247 216 438.2 364.393875205601 73.8061247943993 217 439.8 363.521058993583 76.2789410064174 218 423.4 364.322578378218 59.0774216217815 219 410.8 356.729799050354 54.0702009496459 220 408.4 357.675100676953 50.7248993230474 221 406.7 364.595408219863 42.1045917801373 222 405.9 360.717625164044 45.1823748359559 223 402.7 365.950769097936 36.7492309020636 224 405.1 360.481653628911 44.6183463710886 225 399.6 353.998972369241 45.6010276307595 226 386.5 344.890914824636 41.6090851753642 227 381.4 337.701921500579 43.6980784994211 228 375.2 335.04279536089 40.15720463911 229 357.7 325.927113944919 31.772886055081 230 359 333.376105268227 25.6238947317735 231 355 328.879148586086 26.1208514139135 232 352.7 325.722010387676 26.9779896123239 233 344.4 328.311964781966 16.0880352180342 234 343.8 328.650578212962 15.1494217870381 235 338 342.734356213771 -4.73435621377126 236 339 374.206191946793 -35.2061919467933 237 333.3 374.181054856118 -40.8810548561178 238 334.4 376.050822398805 -41.6508223988053 239 328.3 368.709886859007 -40.4098868590072 240 330.7 351.483300785144 -20.7833007851435 241 330 345.216535914318 -15.2165359143175 242 331.6 383.794688687576 -52.1946886875762 243 351.2 463.511705079923 -112.311705079923 244 389.4 447.040630227201 -57.6406302272014 245 410.9 494.757422696588 -83.8574226965882 246 442.8 497.413154917635 -54.6131549176355 247 462.8 431.84122631619 30.9587736838097 248 466.9 420.617299425972 46.2827005740276 249 461.7 407.734052328209 53.965947671791 250 439.2 393.915786095631 45.2842139043687 251 430.3 377.059469295049 53.2405307049511 252 416.1 388.568954773215 27.5310452267855 253 402.5 391.019874530532 11.4801254694677 254 397.3 406.863673273534 -9.56367327353384 255 403.3 374.618269441681 28.6817305583187 256 395.9 380.235794202318 15.6642057976824 257 387.8 359.578589588224 28.221410411776 258 378.6 359.138499163547 19.461500836453 259 377.1 369.974512302891 7.12548769710885 260 370.4 369.120641637001 1.27935836299888 261 362 349.437980384825 12.562019615175 262 350.3 343.387759932009 6.9122400679907 263 348.2 346.283931177766 1.91606882223432 264 344.6 345.84695994329 -1.2469599432899 265 343.5 346.398602003844 -2.89860200384436 266 342.8 343.382573217986 -0.582573217985868 267 347.6 341.962446404602 5.63755359539762 268 346.6 341.578253643466 5.02174635653351 269 349.5 339.647927119459 9.85207288054053 270 342.1 342.303659340507 -0.203659340506789 271 342 339.920699710378 2.07930028962199 272 342.8 336.55978248476 6.24021751523966 273 339.3 324.892073112926 14.4079268870745 274 348.2 321.899689751899 26.3003102481011 275 333.7 331.272397943618 2.42760205638178 276 334.7 352.012373028054 -17.3123730280538 277 354 337.312815183599 16.6871848164015 278 367.7 330.156361018796 37.543638981204 279 363.3 328.584291989671 34.7157080103286 280 358.4 323.091042224242 35.3089577757578 281 353.1 322.072368994682 31.0276310053185 282 343.1 314.377037768369 28.7229622316314 283 344.6 322.724997124953 21.8750028750473 284 344.4 316.629120015996 27.7708799840042 285 333.9 311.342983705286 22.5570162947141 286 331.7 310.572755249472 21.1272447505277 287 324.3 305.643902384564 18.6560976154364 288 321.2 300.268809138503 20.9311908614967 289 322.4 296.964917474628 25.4350825253719 290 321.7 287.434366188871 34.2656338111287 291 320.5 284.190932786595 36.3090672134049 292 312.8 292.695359646312 20.1046403536884 293 309.7 301.287031562373 8.4129684376265 294 315.6 283.582506874118 32.0174931258822 295 309.7 291.797516791928 17.9024832080715 296 304.6 294.457309865051 10.1426901349494 297 302.5 292.475916746709 10.0240832532912 298 301.5 278.410744413552 23.0892555864482 299 298.8 276.672678079206 22.1273219207944 300 291.3 272.418158674236 18.8818413257644 301 293.6 279.332381018947 14.2676189810528 302 294.6 279.051312116428 15.5486878835721 303 285.9 285.228296090098 0.671703909902108 304 297.6 293.485816849235 4.11418315076486 305 301.1 283.369603452178 17.7303965478219 306 293.8 280.992249776803 12.8077502231974 307 297.7 276.823969111716 20.8760308882837 308 292.9 274.811539050801 18.0884609491994 309 292.1 281.433873898797 10.6661261012032 310 287.2 278.498468868673 8.70153113132701 311 288.2 277.463135282129 10.7368647178708 312 283.8 261.433094157226 22.3669058427736 313 299.9 272.316806888173 27.5831931118265 314 292.4 272.206672978363 20.1933270216371 315 293.3 262.448717076188 30.8512829238117 316 300.8 269.813577317847 30.9864226821531 317 293.7 273.846982761677 19.8530172383232 318 293.1 269.87423582102 23.22576417898 319 294.4 286.389089273686 8.0109107263135 320 292.1 282.306446523299 9.79355347670128 321 291.9 279.508363995349 12.3916360046512 322 282.5 274.274832952141 8.22516704785867 323 277.9 268.434326792786 9.46567320721369 324 287.5 268.776059413983 18.7239405860165 325 289.2 283.762211969939 5.43778803006062 326 285.6 286.804879036756 -1.20487903675591 327 293.2 287.720863790391 5.47913620960859 328 290.8 286.292068296036 4.50793170396436 329 283.1 290.458423178639 -7.35842317863894 330 275 303.294283854338 -28.2942838543378 331 287.8 296.239101090171 -8.43910109017118 332 287.8 299.582634134128 -11.7826341341281 333 287.4 308.80697942669 -21.4069794266901 334 284 303.687405045288 -19.6874050452885 335 277.8 311.863568288047 -34.0635682880469 336 277.6 327.665421360898 -50.0654213608978 337 304.9 331.996626038011 -27.0966260380113 338 294 360.489614241457 -66.4896142414566 339 300.9 383.342256392709 -82.4422563927087 340 324 371.619375781896 -47.6193757818957 341 332.9 367.314952136934 -34.4149521369344 342 341.6 356.846675473347 -15.246675473347 343 333.4 347.170489487647 -13.770489487647 344 348.2 348.53877372697 -0.338773726970079 345 344.7 335.807468844948 8.89253115505218 346 344.7 351.428006912202 -6.7280069122019 347 329.3 351.152384404363 -21.8523844043634 348 323.5 348.797142696157 -25.2971426961568 349 323.2 380.743845084209 -57.5438450842093 350 317.4 365.382511269389 -47.982511269389 351 330.1 350.249599485374 -20.1495994853742 352 329.2 354.898492620661 -25.6984926206612 353 334.9 349.47349513461 -14.5734951346096 354 315.8 338.739319593475 -22.9393195934754 355 315.4 350.05015215701 -34.6501521570103 356 319.6 363.174965339298 -43.5749653392984 357 317.3 352.437902038878 -35.1379020388777 358 313.8 346.80552267935 -33.0055226793499 359 315.8 362.521818378259 -46.7218183782588 360 311.3 374.810007712098 -63.5100077120975

 Goldfeld-Quandt test for Heteroskedasticity p-values Alternative Hypothesis breakpoint index greater 2-sided less 17 0.156938236245353 0.313876472490706 0.843061763754647 18 0.603874457264853 0.792251085470294 0.396125542735147 19 0.49150418377061 0.983008367541221 0.50849581622939 20 0.362762370690304 0.725524741380608 0.637237629309696 21 0.253764393571783 0.507528787143566 0.746235606428217 22 0.178799903968556 0.357599807937112 0.821200096031444 23 0.149401285814682 0.298802571629365 0.850598714185318 24 0.128876839384883 0.257753678769766 0.871123160615117 25 0.188942609214912 0.377885218429824 0.811057390785088 26 0.280081603189725 0.560163206379449 0.719918396810275 27 0.892661251211965 0.214677497576069 0.107338748788035 28 0.893008116919763 0.213983766160475 0.106991883080237 29 0.856646439283918 0.286707121432164 0.143353560716082 30 0.81478590010238 0.370428199795241 0.18521409989762 31 0.765608457890064 0.468783084219871 0.234391542109936 32 0.739838662491211 0.520322675017578 0.260161337508789 33 0.695802962380203 0.608394075239595 0.304197037619797 34 0.644604442207765 0.710791115584469 0.355395557792235 35 0.59337463009231 0.81325073981538 0.40662536990769 36 0.542369003454596 0.915261993090807 0.457630996545404 37 0.487988935850587 0.975977871701175 0.512011064149413 38 0.436915412335892 0.873830824671783 0.563084587664108 39 0.403395234487452 0.806790468974903 0.596604765512548 40 0.446712977732703 0.893425955465405 0.553287022267297 41 0.445720097218832 0.891440194437665 0.554279902781168 42 0.407313748274389 0.814627496548778 0.592686251725611 43 0.358713020052215 0.717426040104431 0.641286979947784 44 0.310913114162425 0.62182622832485 0.689086885837575 45 0.265657662666929 0.531315325333859 0.734342337333071 46 0.223985543760348 0.447971087520696 0.776014456239652 47 0.187555407544001 0.375110815088001 0.812444592455999 48 0.18100234423857 0.362004688477141 0.81899765576143 49 0.14942407076097 0.298848141521939 0.85057592923903 50 0.139047764379255 0.278095528758509 0.860952235620745 51 0.153133049105944 0.306266098211889 0.846866950894056 52 0.164002800696072 0.328005601392144 0.835997199303928 53 0.181761041451644 0.363522082903288 0.818238958548356 54 0.175447788625417 0.350895577250833 0.824552211374583 55 0.173543961112042 0.347087922224085 0.826456038887958 56 0.164613691412265 0.329227382824531 0.835386308587735 57 0.145004476481818 0.290008952963635 0.854995523518182 58 0.146334805308642 0.292669610617285 0.853665194691358 59 0.167381031563327 0.334762063126654 0.832618968436673 60 0.152037686939957 0.304075373879913 0.847962313060043 61 0.131875844807093 0.263751689614185 0.868124155192907 62 0.117141118035039 0.234282236070079 0.882858881964961 63 0.100249145753577 0.200498291507154 0.899750854246423 64 0.0859863907050258 0.171972781410052 0.914013609294974 65 0.0728557186638798 0.14571143732776 0.92714428133612 66 0.060452754004986 0.120905508009972 0.939547245995014 67 0.0514895425069953 0.102979085013991 0.948510457493005 68 0.0431798223054955 0.0863596446109909 0.956820177694505 69 0.0361429012365735 0.0722858024731471 0.963857098763427 70 0.0341848917982327 0.0683697835964655 0.965815108201767 71 0.028504911993586 0.057009823987172 0.971495088006414 72 0.0232350461689517 0.0464700923379033 0.976764953831048 73 0.0240385635400351 0.0480771270800702 0.975961436459965 74 0.0244784638580337 0.0489569277160674 0.975521536141966 75 0.0243164823283988 0.0486329646567975 0.975683517671601 76 0.0208791033050203 0.0417582066100406 0.97912089669498 77 0.0174103178327712 0.0348206356655424 0.982589682167229 78 0.0151662212340809 0.0303324424681618 0.984833778765919 79 0.0139705091298166 0.0279410182596332 0.986029490870183 80 0.0137443816313166 0.0274887632626332 0.986255618368683 81 0.0121918092570253 0.0243836185140505 0.987808190742975 82 0.0113311465834904 0.0226622931669808 0.98866885341651 83 0.0110051799376245 0.022010359875249 0.988994820062375 84 0.0113476786014201 0.0226953572028402 0.98865232139858 85 0.016804698354911 0.0336093967098219 0.983195301645089 86 0.0252863380202924 0.0505726760405847 0.974713661979708 87 0.0318526352816393 0.0637052705632786 0.968147364718361 88 0.0389811561070884 0.0779623122141768 0.961018843892912 89 0.0440121034000902 0.0880242068001805 0.95598789659991 90 0.0525123197275509 0.105024639455102 0.947487680272449 91 0.0666149926566938 0.133229985313388 0.933385007343306 92 0.0724900183045393 0.144980036609079 0.927509981695461 93 0.0795906608761884 0.159181321752377 0.920409339123812 94 0.100014331823991 0.200028663647982 0.899985668176009 95 0.125202883827727 0.250405767655455 0.874797116172273 96 0.145819529330881 0.291639058661763 0.854180470669119 97 0.195838016334499 0.391676032668998 0.804161983665501 98 0.246028706581666 0.492057413163331 0.753971293418334 99 0.273208077131506 0.546416154263012 0.726791922868494 100 0.313667263526253 0.627334527052506 0.686332736473747 101 0.351304509872733 0.702609019745466 0.648695490127267 102 0.368649245304415 0.737298490608831 0.631350754695585 103 0.385101189557052 0.770202379114103 0.614898810442948 104 0.3912317012386 0.782463402477199 0.6087682987614 105 0.390197664862498 0.780395329724996 0.609802335137502 106 0.395174894364416 0.790349788728831 0.604825105635584 107 0.390143078505893 0.780286157011787 0.609856921494107 108 0.374189126430158 0.748378252860317 0.625810873569842 109 0.394462986198758 0.788925972397516 0.605537013801242 110 0.670591723537528 0.658816552924944 0.329408276462472 111 0.789063465629513 0.421873068740974 0.210936534370487 112 0.816510576232881 0.366978847534239 0.183489423767119 113 0.816622423792559 0.366755152414881 0.18337757620744 114 0.811045516817287 0.377908966365426 0.188954483182713 115 0.793715974716771 0.412568050566458 0.206284025283229 116 0.769666798947922 0.460666402104156 0.230333201052078 117 0.744395432725715 0.51120913454857 0.255604567274285 118 0.716845142554156 0.566309714891688 0.283154857445844 119 0.689151135881993 0.621697728236014 0.310848864118007 120 0.663753955489219 0.672492089021561 0.336246044510781 121 0.639966380106171 0.720067239787658 0.360033619893829 122 0.609025181874298 0.781949636251405 0.390974818125702 123 0.577899114034134 0.844201771931732 0.422100885965866 124 0.54542411608885 0.9091517678223 0.45457588391115 125 0.515804091141923 0.968391817716153 0.484195908858077 126 0.485680509633196 0.971361019266392 0.514319490366804 127 0.462217579611333 0.924435159222666 0.537782420388667 128 0.449775766975039 0.899551533950077 0.550224233024961 129 0.426761064369951 0.853522128739902 0.573238935630049 130 0.400234008483324 0.800468016966648 0.599765991516676 131 0.380075365464697 0.760150730929394 0.619924634535303 132 0.358826166374185 0.71765233274837 0.641173833625815 133 0.33446762674984 0.66893525349968 0.66553237325016 134 0.314348283624093 0.628696567248185 0.685651716375907 135 0.293786794312237 0.587573588624474 0.706213205687763 136 0.27125927286395 0.542518545727899 0.72874072713605 137 0.250922024076841 0.501844048153682 0.749077975923159 138 0.231443355492409 0.462886710984819 0.768556644507591 139 0.214571261480136 0.429142522960272 0.785428738519864 140 0.201657055831682 0.403314111663364 0.798342944168318 141 0.188358778324419 0.376717556648838 0.811641221675581 142 0.174139264406649 0.348278528813299 0.825860735593351 143 0.157159682896061 0.314319365792121 0.842840317103939 144 0.141619713631844 0.283239427263687 0.858380286368156 145 0.130244344555002 0.260488689110005 0.869755655444998 146 0.12523006215046 0.25046012430092 0.87476993784954 147 0.122038251662836 0.244076503325672 0.877961748337164 148 0.109424252747481 0.218848505494963 0.890575747252519 149 0.101383964649309 0.202767929298618 0.898616035350691 150 0.0916959192427708 0.183391838485542 0.908304080757229 151 0.0836542062774673 0.167308412554935 0.916345793722533 152 0.0762731312415375 0.152546262483075 0.923726868758462 153 0.0696867420684603 0.139373484136921 0.93031325793154 154 0.0628884425156098 0.12577688503122 0.93711155748439 155 0.0550031250156443 0.110006250031289 0.944996874984356 156 0.048800700086042 0.097601400172084 0.951199299913958 157 0.044854426720758 0.0897088534415161 0.955145573279242 158 0.0413630911855414 0.0827261823710828 0.958636908814459 159 0.0355018202963291 0.0710036405926581 0.964498179703671 160 0.0301377731790163 0.0602755463580326 0.969862226820984 161 0.0256539729673637 0.0513079459347274 0.974346027032636 162 0.0225448529104793 0.0450897058209586 0.977455147089521 163 0.0208703183292356 0.0417406366584711 0.979129681670764 164 0.0197238949389946 0.0394477898779892 0.980276105061005 165 0.0168355308485651 0.0336710616971301 0.983164469151435 166 0.0144766091422555 0.0289532182845109 0.985523390857745 167 0.01249394265256 0.0249878853051201 0.98750605734744 168 0.0109469714363193 0.0218939428726385 0.989053028563681 169 0.0100337871953566 0.0200675743907133 0.989966212804643 170 0.00896606145326911 0.0179321229065382 0.991033938546731 171 0.00746355269636119 0.0149271053927224 0.992536447303639 172 0.00605777983692479 0.0121155596738496 0.993942220163075 173 0.00488832263803041 0.00977664527606082 0.99511167736197 174 0.00395508134045278 0.00791016268090557 0.996044918659547 175 0.00346748884816421 0.00693497769632843 0.996532511151836 176 0.00333313808558402 0.00666627617116804 0.996666861914416 177 0.00311065004494672 0.00622130008989345 0.996889349955053 178 0.0028683268965592 0.00573665379311839 0.997131673103441 179 0.00250922715413018 0.00501845430826037 0.99749077284587 180 0.00216815829393352 0.00433631658786704 0.997831841706066 181 0.00191211687421628 0.00382423374843257 0.998087883125784 182 0.00159115481276628 0.00318230962553257 0.998408845187234 183 0.00131825549681728 0.00263651099363457 0.998681744503183 184 0.00113817409512474 0.00227634819024948 0.998861825904875 185 0.000968292253109272 0.00193658450621854 0.999031707746891 186 0.000836354386402541 0.00167270877280508 0.999163645613597 187 0.000813304355133529 0.00162660871026706 0.999186695644867 188 0.000878095263653625 0.00175619052730725 0.999121904736346 189 0.000948325309512626 0.00189665061902525 0.999051674690487 190 0.00101187350611417 0.00202374701222834 0.998988126493886 191 0.00105152366956467 0.00210304733912933 0.998948476330435 192 0.00105270247140199 0.00210540494280397 0.998947297528598 193 0.00115614567307173 0.00231229134614347 0.998843854326928 194 0.00110961918689189 0.00221923837378378 0.998890380813108 195 0.00104271784931478 0.00208543569862956 0.998957282150685 196 0.00101955680078003 0.00203911360156006 0.99898044319922 197 0.000968152370517191 0.00193630474103438 0.999031847629483 198 0.000950850092803911 0.00190170018560782 0.999049149907196 199 0.00108600116809164 0.00217200233618328 0.998913998831908 200 0.00175994581650774 0.00351989163301549 0.998240054183492 201 0.00278694456230578 0.00557388912461155 0.997213055437694 202 0.00497892989256177 0.00995785978512354 0.995021070107438 203 0.00757545516008774 0.0151509103201755 0.992424544839912 204 0.0102496945997549 0.0204993891995097 0.989750305400245 205 0.0148024301730785 0.029604860346157 0.985197569826922 206 0.0240363731447211 0.0480727462894422 0.975963626855279 207 0.0988510744684024 0.197702148936805 0.901148925531598 208 0.302874550545817 0.605749101091633 0.697125449454183 209 0.619705441334555 0.760589117330891 0.380294558665445 210 0.883367244292882 0.233265511414236 0.116632755707118 211 0.897425580517958 0.205148838964084 0.102574419482042 212 0.947857280608517 0.104285438782965 0.0521427193914825 213 0.954053037092752 0.0918939258144965 0.0459469629072482 214 0.95871649748139 0.0825670050372208 0.0412835025186104 215 0.971275459222755 0.0574490815544892 0.0287245407772446 216 0.98076234544848 0.03847530910304 0.01923765455152 217 0.988424743503602 0.0231505129927968 0.0115752564963984 218 0.990544530690292 0.018910938619415 0.00945546930970751 219 0.990939802810719 0.0181203943785614 0.00906019718928068 220 0.990404838410337 0.0191903231793265 0.00959516158966324 221 0.98937006369201 0.0212598726159801 0.0106299363079901 222 0.988363600521748 0.0232727989565045 0.0116363994782522 223 0.986350068861797 0.0272998622764052 0.0136499311382026 224 0.98494174792632 0.0301165041473592 0.0150582520736796 225 0.98347179860217 0.0330564027956594 0.0165282013978297 226 0.981092695723415 0.037814608553171 0.0189073042765855 227 0.979200249147319 0.0415995017053614 0.0207997508526807 228 0.976750014376444 0.046499971247112 0.023249985623556 229 0.972015049709198 0.0559699005816038 0.0279849502908019 230 0.966586520555762 0.0668269588884762 0.0334134794442381 231 0.960013330812418 0.0799733383751645 0.0399866691875822 232 0.952533120769879 0.0949337584602426 0.0474668792301213 233 0.946019807059367 0.107960385881267 0.0539801929406333 234 0.939241406618209 0.121517186763581 0.0607585933817906 235 0.945836836649567 0.108326326700866 0.0541631633504332 236 0.977880623469555 0.0442387530608892 0.0221193765304446 237 0.993877487380069 0.0122450252398621 0.00612251261993105 238 0.998593921553119 0.00281215689376176 0.00140607844688088 239 0.999701348884668 0.00059730223066454 0.00029865111533227 240 0.999844605185684 0.000310789628631685 0.000155394814315842 241 0.999912208668866 0.000175582662268895 8.77913311344474e-05 242 0.999992464872167 1.50702556656618e-05 7.53512783283088e-06 243 0.999999999531196 9.37607838870603e-10 4.68803919435301e-10 244 0.99999999997801 4.39805552476645e-11 2.19902776238323e-11 245 0.999999999999943 1.13684835058994e-13 5.68424175294968e-14 246 0.999999999999993 1.47677906970997e-14 7.38389534854983e-15 247 0.999999999999994 1.19572973844416e-14 5.9786486922208e-15 248 0.999999999999999 2.19501906389276e-15 1.09750953194638e-15 249 1 1.32437418951111e-16 6.62187094755557e-17 250 1 2.62549238396805e-17 1.31274619198403e-17 251 1 7.32754877220675e-19 3.66377438610338e-19 252 1 2.20300697494258e-19 1.10150348747129e-19 253 1 3.83885046254578e-19 1.91942523127289e-19 254 1 8.83476074526379e-19 4.4173803726319e-19 255 1 6.41216364957502e-19 3.20608182478751e-19 256 1 1.19270329049175e-18 5.96351645245876e-19 257 1 1.61550449153554e-18 8.07752245767772e-19 258 1 3.20520731174029e-18 1.60260365587014e-18 259 1 7.78892112711213e-18 3.89446056355606e-18 260 1 1.88620057270513e-17 9.43100286352566e-18 261 1 4.57854552489252e-17 2.28927276244626e-17 262 1 9.85152220066092e-17 4.92576110033046e-17 263 1 2.28484565175511e-16 1.14242282587755e-16 264 1 5.18433824197115e-16 2.59216912098557e-16 265 1 8.88547902787205e-16 4.44273951393602e-16 266 0.999999999999999 1.6923758539608e-15 8.46187926980398e-16 267 0.999999999999998 3.59254432960325e-15 1.79627216480162e-15 268 0.999999999999997 6.50458148700465e-15 3.25229074350233e-15 269 0.999999999999993 1.34349898572039e-14 6.71749492860197e-15 270 0.999999999999991 1.86503128829199e-14 9.32515644145995e-15 271 0.999999999999986 2.82210421884514e-14 1.41105210942257e-14 272 0.999999999999977 4.63235322684299e-14 2.31617661342149e-14 273 0.999999999999956 8.8846604121098e-14 4.4423302060549e-14 274 0.999999999999906 1.87943503179471e-13 9.39717515897356e-14 275 0.999999999999834 3.31017741508635e-13 1.65508870754318e-13 276 0.999999999999874 2.5203363618991e-13 1.26016818094955e-13 277 0.999999999999713 5.73177032401101e-13 2.86588516200551e-13 278 0.999999999999819 3.61300516038115e-13 1.80650258019058e-13 279 0.999999999999837 3.26906092255713e-13 1.63453046127856e-13 280 0.999999999999812 3.7564266202487e-13 1.87821331012435e-13 281 0.999999999999722 5.55811924938147e-13 2.77905962469073e-13 282 0.999999999999499 1.0023650136179e-12 5.01182506808949e-13 283 0.99999999999901 1.97950507555792e-12 9.89752537778961e-13 284 0.999999999998426 3.14742285627988e-12 1.57371142813994e-12 285 0.999999999996785 6.42928936980998e-12 3.21464468490499e-12 286 0.999999999993632 1.27353581539909e-11 6.36767907699547e-12 287 0.999999999988079 2.38428682317102e-11 1.19214341158551e-11 288 0.999999999981131 3.77382521826102e-11 1.88691260913051e-11 289 0.999999999970998 5.80036691944289e-11 2.90018345972145e-11 290 0.999999999982094 3.58114680647188e-11 1.79057340323594e-11 291 0.999999999987797 2.44064897018995e-11 1.22032448509497e-11 292 0.999999999974463 5.10734474365914e-11 2.55367237182957e-11 293 0.999999999940232 1.19536556940989e-10 5.97682784704946e-11 294 0.999999999924276 1.51448886995367e-10 7.57244434976834e-11 295 0.999999999844007 3.11986924425287e-10 1.55993462212643e-10 296 0.999999999640683 7.1863388914932e-10 3.5931694457466e-10 297 0.999999999180828 1.63834316251362e-09 8.19171581256809e-10 298 0.999999998430817 3.13836546500973e-09 1.56918273250487e-09 299 0.99999999752321 4.95357945114223e-09 2.47678972557112e-09 300 0.999999995560023 8.87995492534815e-09 4.43997746267407e-09 301 0.999999990454474 1.90910512724552e-08 9.54552563622758e-09 302 0.999999984760476 3.04790483686352e-08 1.52395241843176e-08 303 0.99999996715152 6.56969603854883e-08 3.28484801927442e-08 304 0.999999929088379 1.41823242139716e-07 7.09116210698582e-08 305 0.999999856316585 2.87366830463238e-07 1.43683415231619e-07 306 0.999999701632511 5.96734977837387e-07 2.98367488918693e-07 307 0.999999445126891 1.10974621868613e-06 5.54873109343063e-07 308 0.999998870594587 2.25881082524872e-06 1.12940541262436e-06 309 0.999997702328767 4.59534246601766e-06 2.29767123300883e-06 310 0.999995386241098 9.2275178033093e-06 4.61375890165465e-06 311 0.999991633127803 1.67337443944297e-05 8.36687219721483e-06 312 0.9999864857654 2.70284691993256e-05 1.35142345996628e-05 313 0.999982879640643 3.42407187135132e-05 1.71203593567566e-05 314 0.999980004708498 3.99905830031281e-05 1.99952915015641e-05 315 0.999973866892008 5.22662159848697e-05 2.61331079924348e-05 316 0.999964201926092 7.15961478165228e-05 3.57980739082614e-05 317 0.999933901446877 0.000132197106246204 6.6098553123102e-05 318 0.999895780336128 0.000208439327743919 0.000104219663871959 319 0.999813502501912 0.000372994996175545 0.000186497498087772 320 0.999652666390409 0.000694667219182567 0.000347333609591284 321 0.99937247938726 0.00125504122548068 0.00062752061274034 322 0.998861312672313 0.0022773746553743 0.00113868732768715 323 0.998059043263299 0.00388191347340237 0.00194095673670118 324 0.997981658234635 0.00403668353073079 0.0020183417653654 325 0.99685188155281 0.0062962368943809 0.00314811844719045 326 0.996084242946494 0.00783151410701222 0.00391575705350611 327 0.995656497445514 0.00868700510897183 0.00434350255448591 328 0.993493180668515 0.0130136386629707 0.00650681933148534 329 0.988872283072729 0.0222554338545429 0.0111277169272715 330 0.986549427079218 0.0269011458415646 0.0134505729207823 331 0.977369578261893 0.0452608434762139 0.022630421738107 332 0.965448580534468 0.069102838931064 0.034551419465532 333 0.957730784830822 0.0845384303383557 0.0422692151691779 334 0.950952075479392 0.098095849041217 0.0490479245206085 335 0.958749127375562 0.082501745248877 0.0412508726244385 336 0.984777297007493 0.0304454059850136 0.0152227029925068 337 0.992885262947417 0.0142294741051663 0.00711473705258316 338 0.997658882665837 0.00468223466832507 0.00234111733416253 339 0.998711372164136 0.00257725567172714 0.00128862783586357 340 0.998395645686749 0.00320870862650194 0.00160435431325097 341 0.999566928197041 0.00086614360591777 0.000433071802958885 342 0.99761415247143 0.00477169505714048 0.00238584752857024 343 0.990793655862247 0.0184126882755053 0.00920634413775267

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
17 & 0.156938236245353 & 0.313876472490706 & 0.843061763754647 \tabularnewline
18 & 0.603874457264853 & 0.792251085470294 & 0.396125542735147 \tabularnewline
19 & 0.49150418377061 & 0.983008367541221 & 0.50849581622939 \tabularnewline
20 & 0.362762370690304 & 0.725524741380608 & 0.637237629309696 \tabularnewline
21 & 0.253764393571783 & 0.507528787143566 & 0.746235606428217 \tabularnewline
22 & 0.178799903968556 & 0.357599807937112 & 0.821200096031444 \tabularnewline
23 & 0.149401285814682 & 0.298802571629365 & 0.850598714185318 \tabularnewline
24 & 0.128876839384883 & 0.257753678769766 & 0.871123160615117 \tabularnewline
25 & 0.188942609214912 & 0.377885218429824 & 0.811057390785088 \tabularnewline
26 & 0.280081603189725 & 0.560163206379449 & 0.719918396810275 \tabularnewline
27 & 0.892661251211965 & 0.214677497576069 & 0.107338748788035 \tabularnewline
28 & 0.893008116919763 & 0.213983766160475 & 0.106991883080237 \tabularnewline
29 & 0.856646439283918 & 0.286707121432164 & 0.143353560716082 \tabularnewline
30 & 0.81478590010238 & 0.370428199795241 & 0.18521409989762 \tabularnewline
31 & 0.765608457890064 & 0.468783084219871 & 0.234391542109936 \tabularnewline
32 & 0.739838662491211 & 0.520322675017578 & 0.260161337508789 \tabularnewline
33 & 0.695802962380203 & 0.608394075239595 & 0.304197037619797 \tabularnewline
34 & 0.644604442207765 & 0.710791115584469 & 0.355395557792235 \tabularnewline
35 & 0.59337463009231 & 0.81325073981538 & 0.40662536990769 \tabularnewline
36 & 0.542369003454596 & 0.915261993090807 & 0.457630996545404 \tabularnewline
37 & 0.487988935850587 & 0.975977871701175 & 0.512011064149413 \tabularnewline
38 & 0.436915412335892 & 0.873830824671783 & 0.563084587664108 \tabularnewline
39 & 0.403395234487452 & 0.806790468974903 & 0.596604765512548 \tabularnewline
40 & 0.446712977732703 & 0.893425955465405 & 0.553287022267297 \tabularnewline
41 & 0.445720097218832 & 0.891440194437665 & 0.554279902781168 \tabularnewline
42 & 0.407313748274389 & 0.814627496548778 & 0.592686251725611 \tabularnewline
43 & 0.358713020052215 & 0.717426040104431 & 0.641286979947784 \tabularnewline
44 & 0.310913114162425 & 0.62182622832485 & 0.689086885837575 \tabularnewline
45 & 0.265657662666929 & 0.531315325333859 & 0.734342337333071 \tabularnewline
46 & 0.223985543760348 & 0.447971087520696 & 0.776014456239652 \tabularnewline
47 & 0.187555407544001 & 0.375110815088001 & 0.812444592455999 \tabularnewline
48 & 0.18100234423857 & 0.362004688477141 & 0.81899765576143 \tabularnewline
49 & 0.14942407076097 & 0.298848141521939 & 0.85057592923903 \tabularnewline
50 & 0.139047764379255 & 0.278095528758509 & 0.860952235620745 \tabularnewline
51 & 0.153133049105944 & 0.306266098211889 & 0.846866950894056 \tabularnewline
52 & 0.164002800696072 & 0.328005601392144 & 0.835997199303928 \tabularnewline
53 & 0.181761041451644 & 0.363522082903288 & 0.818238958548356 \tabularnewline
54 & 0.175447788625417 & 0.350895577250833 & 0.824552211374583 \tabularnewline
55 & 0.173543961112042 & 0.347087922224085 & 0.826456038887958 \tabularnewline
56 & 0.164613691412265 & 0.329227382824531 & 0.835386308587735 \tabularnewline
57 & 0.145004476481818 & 0.290008952963635 & 0.854995523518182 \tabularnewline
58 & 0.146334805308642 & 0.292669610617285 & 0.853665194691358 \tabularnewline
59 & 0.167381031563327 & 0.334762063126654 & 0.832618968436673 \tabularnewline
60 & 0.152037686939957 & 0.304075373879913 & 0.847962313060043 \tabularnewline
61 & 0.131875844807093 & 0.263751689614185 & 0.868124155192907 \tabularnewline
62 & 0.117141118035039 & 0.234282236070079 & 0.882858881964961 \tabularnewline
63 & 0.100249145753577 & 0.200498291507154 & 0.899750854246423 \tabularnewline
64 & 0.0859863907050258 & 0.171972781410052 & 0.914013609294974 \tabularnewline
65 & 0.0728557186638798 & 0.14571143732776 & 0.92714428133612 \tabularnewline
66 & 0.060452754004986 & 0.120905508009972 & 0.939547245995014 \tabularnewline
67 & 0.0514895425069953 & 0.102979085013991 & 0.948510457493005 \tabularnewline
68 & 0.0431798223054955 & 0.0863596446109909 & 0.956820177694505 \tabularnewline
69 & 0.0361429012365735 & 0.0722858024731471 & 0.963857098763427 \tabularnewline
70 & 0.0341848917982327 & 0.0683697835964655 & 0.965815108201767 \tabularnewline
71 & 0.028504911993586 & 0.057009823987172 & 0.971495088006414 \tabularnewline
72 & 0.0232350461689517 & 0.0464700923379033 & 0.976764953831048 \tabularnewline
73 & 0.0240385635400351 & 0.0480771270800702 & 0.975961436459965 \tabularnewline
74 & 0.0244784638580337 & 0.0489569277160674 & 0.975521536141966 \tabularnewline
75 & 0.0243164823283988 & 0.0486329646567975 & 0.975683517671601 \tabularnewline
76 & 0.0208791033050203 & 0.0417582066100406 & 0.97912089669498 \tabularnewline
77 & 0.0174103178327712 & 0.0348206356655424 & 0.982589682167229 \tabularnewline
78 & 0.0151662212340809 & 0.0303324424681618 & 0.984833778765919 \tabularnewline
79 & 0.0139705091298166 & 0.0279410182596332 & 0.986029490870183 \tabularnewline
80 & 0.0137443816313166 & 0.0274887632626332 & 0.986255618368683 \tabularnewline
81 & 0.0121918092570253 & 0.0243836185140505 & 0.987808190742975 \tabularnewline
82 & 0.0113311465834904 & 0.0226622931669808 & 0.98866885341651 \tabularnewline
83 & 0.0110051799376245 & 0.022010359875249 & 0.988994820062375 \tabularnewline
84 & 0.0113476786014201 & 0.0226953572028402 & 0.98865232139858 \tabularnewline
85 & 0.016804698354911 & 0.0336093967098219 & 0.983195301645089 \tabularnewline
86 & 0.0252863380202924 & 0.0505726760405847 & 0.974713661979708 \tabularnewline
87 & 0.0318526352816393 & 0.0637052705632786 & 0.968147364718361 \tabularnewline
88 & 0.0389811561070884 & 0.0779623122141768 & 0.961018843892912 \tabularnewline
89 & 0.0440121034000902 & 0.0880242068001805 & 0.95598789659991 \tabularnewline
90 & 0.0525123197275509 & 0.105024639455102 & 0.947487680272449 \tabularnewline
91 & 0.0666149926566938 & 0.133229985313388 & 0.933385007343306 \tabularnewline
92 & 0.0724900183045393 & 0.144980036609079 & 0.927509981695461 \tabularnewline
93 & 0.0795906608761884 & 0.159181321752377 & 0.920409339123812 \tabularnewline
94 & 0.100014331823991 & 0.200028663647982 & 0.899985668176009 \tabularnewline
95 & 0.125202883827727 & 0.250405767655455 & 0.874797116172273 \tabularnewline
96 & 0.145819529330881 & 0.291639058661763 & 0.854180470669119 \tabularnewline
97 & 0.195838016334499 & 0.391676032668998 & 0.804161983665501 \tabularnewline
98 & 0.246028706581666 & 0.492057413163331 & 0.753971293418334 \tabularnewline
99 & 0.273208077131506 & 0.546416154263012 & 0.726791922868494 \tabularnewline
100 & 0.313667263526253 & 0.627334527052506 & 0.686332736473747 \tabularnewline
101 & 0.351304509872733 & 0.702609019745466 & 0.648695490127267 \tabularnewline
102 & 0.368649245304415 & 0.737298490608831 & 0.631350754695585 \tabularnewline
103 & 0.385101189557052 & 0.770202379114103 & 0.614898810442948 \tabularnewline
104 & 0.3912317012386 & 0.782463402477199 & 0.6087682987614 \tabularnewline
105 & 0.390197664862498 & 0.780395329724996 & 0.609802335137502 \tabularnewline
106 & 0.395174894364416 & 0.790349788728831 & 0.604825105635584 \tabularnewline
107 & 0.390143078505893 & 0.780286157011787 & 0.609856921494107 \tabularnewline
108 & 0.374189126430158 & 0.748378252860317 & 0.625810873569842 \tabularnewline
109 & 0.394462986198758 & 0.788925972397516 & 0.605537013801242 \tabularnewline
110 & 0.670591723537528 & 0.658816552924944 & 0.329408276462472 \tabularnewline
111 & 0.789063465629513 & 0.421873068740974 & 0.210936534370487 \tabularnewline
112 & 0.816510576232881 & 0.366978847534239 & 0.183489423767119 \tabularnewline
113 & 0.816622423792559 & 0.366755152414881 & 0.18337757620744 \tabularnewline
114 & 0.811045516817287 & 0.377908966365426 & 0.188954483182713 \tabularnewline
115 & 0.793715974716771 & 0.412568050566458 & 0.206284025283229 \tabularnewline
116 & 0.769666798947922 & 0.460666402104156 & 0.230333201052078 \tabularnewline
117 & 0.744395432725715 & 0.51120913454857 & 0.255604567274285 \tabularnewline
118 & 0.716845142554156 & 0.566309714891688 & 0.283154857445844 \tabularnewline
119 & 0.689151135881993 & 0.621697728236014 & 0.310848864118007 \tabularnewline
120 & 0.663753955489219 & 0.672492089021561 & 0.336246044510781 \tabularnewline
121 & 0.639966380106171 & 0.720067239787658 & 0.360033619893829 \tabularnewline
122 & 0.609025181874298 & 0.781949636251405 & 0.390974818125702 \tabularnewline
123 & 0.577899114034134 & 0.844201771931732 & 0.422100885965866 \tabularnewline
124 & 0.54542411608885 & 0.9091517678223 & 0.45457588391115 \tabularnewline
125 & 0.515804091141923 & 0.968391817716153 & 0.484195908858077 \tabularnewline
126 & 0.485680509633196 & 0.971361019266392 & 0.514319490366804 \tabularnewline
127 & 0.462217579611333 & 0.924435159222666 & 0.537782420388667 \tabularnewline
128 & 0.449775766975039 & 0.899551533950077 & 0.550224233024961 \tabularnewline
129 & 0.426761064369951 & 0.853522128739902 & 0.573238935630049 \tabularnewline
130 & 0.400234008483324 & 0.800468016966648 & 0.599765991516676 \tabularnewline
131 & 0.380075365464697 & 0.760150730929394 & 0.619924634535303 \tabularnewline
132 & 0.358826166374185 & 0.71765233274837 & 0.641173833625815 \tabularnewline
133 & 0.33446762674984 & 0.66893525349968 & 0.66553237325016 \tabularnewline
134 & 0.314348283624093 & 0.628696567248185 & 0.685651716375907 \tabularnewline
135 & 0.293786794312237 & 0.587573588624474 & 0.706213205687763 \tabularnewline
136 & 0.27125927286395 & 0.542518545727899 & 0.72874072713605 \tabularnewline
137 & 0.250922024076841 & 0.501844048153682 & 0.749077975923159 \tabularnewline
138 & 0.231443355492409 & 0.462886710984819 & 0.768556644507591 \tabularnewline
139 & 0.214571261480136 & 0.429142522960272 & 0.785428738519864 \tabularnewline
140 & 0.201657055831682 & 0.403314111663364 & 0.798342944168318 \tabularnewline
141 & 0.188358778324419 & 0.376717556648838 & 0.811641221675581 \tabularnewline
142 & 0.174139264406649 & 0.348278528813299 & 0.825860735593351 \tabularnewline
143 & 0.157159682896061 & 0.314319365792121 & 0.842840317103939 \tabularnewline
144 & 0.141619713631844 & 0.283239427263687 & 0.858380286368156 \tabularnewline
145 & 0.130244344555002 & 0.260488689110005 & 0.869755655444998 \tabularnewline
146 & 0.12523006215046 & 0.25046012430092 & 0.87476993784954 \tabularnewline
147 & 0.122038251662836 & 0.244076503325672 & 0.877961748337164 \tabularnewline
148 & 0.109424252747481 & 0.218848505494963 & 0.890575747252519 \tabularnewline
149 & 0.101383964649309 & 0.202767929298618 & 0.898616035350691 \tabularnewline
150 & 0.0916959192427708 & 0.183391838485542 & 0.908304080757229 \tabularnewline
151 & 0.0836542062774673 & 0.167308412554935 & 0.916345793722533 \tabularnewline
152 & 0.0762731312415375 & 0.152546262483075 & 0.923726868758462 \tabularnewline
153 & 0.0696867420684603 & 0.139373484136921 & 0.93031325793154 \tabularnewline
154 & 0.0628884425156098 & 0.12577688503122 & 0.93711155748439 \tabularnewline
155 & 0.0550031250156443 & 0.110006250031289 & 0.944996874984356 \tabularnewline
156 & 0.048800700086042 & 0.097601400172084 & 0.951199299913958 \tabularnewline
157 & 0.044854426720758 & 0.0897088534415161 & 0.955145573279242 \tabularnewline
158 & 0.0413630911855414 & 0.0827261823710828 & 0.958636908814459 \tabularnewline
159 & 0.0355018202963291 & 0.0710036405926581 & 0.964498179703671 \tabularnewline
160 & 0.0301377731790163 & 0.0602755463580326 & 0.969862226820984 \tabularnewline
161 & 0.0256539729673637 & 0.0513079459347274 & 0.974346027032636 \tabularnewline
162 & 0.0225448529104793 & 0.0450897058209586 & 0.977455147089521 \tabularnewline
163 & 0.0208703183292356 & 0.0417406366584711 & 0.979129681670764 \tabularnewline
164 & 0.0197238949389946 & 0.0394477898779892 & 0.980276105061005 \tabularnewline
165 & 0.0168355308485651 & 0.0336710616971301 & 0.983164469151435 \tabularnewline
166 & 0.0144766091422555 & 0.0289532182845109 & 0.985523390857745 \tabularnewline
167 & 0.01249394265256 & 0.0249878853051201 & 0.98750605734744 \tabularnewline
168 & 0.0109469714363193 & 0.0218939428726385 & 0.989053028563681 \tabularnewline
169 & 0.0100337871953566 & 0.0200675743907133 & 0.989966212804643 \tabularnewline
170 & 0.00896606145326911 & 0.0179321229065382 & 0.991033938546731 \tabularnewline
171 & 0.00746355269636119 & 0.0149271053927224 & 0.992536447303639 \tabularnewline
172 & 0.00605777983692479 & 0.0121155596738496 & 0.993942220163075 \tabularnewline
173 & 0.00488832263803041 & 0.00977664527606082 & 0.99511167736197 \tabularnewline
174 & 0.00395508134045278 & 0.00791016268090557 & 0.996044918659547 \tabularnewline
175 & 0.00346748884816421 & 0.00693497769632843 & 0.996532511151836 \tabularnewline
176 & 0.00333313808558402 & 0.00666627617116804 & 0.996666861914416 \tabularnewline
177 & 0.00311065004494672 & 0.00622130008989345 & 0.996889349955053 \tabularnewline
178 & 0.0028683268965592 & 0.00573665379311839 & 0.997131673103441 \tabularnewline
179 & 0.00250922715413018 & 0.00501845430826037 & 0.99749077284587 \tabularnewline
180 & 0.00216815829393352 & 0.00433631658786704 & 0.997831841706066 \tabularnewline
181 & 0.00191211687421628 & 0.00382423374843257 & 0.998087883125784 \tabularnewline
182 & 0.00159115481276628 & 0.00318230962553257 & 0.998408845187234 \tabularnewline
183 & 0.00131825549681728 & 0.00263651099363457 & 0.998681744503183 \tabularnewline
184 & 0.00113817409512474 & 0.00227634819024948 & 0.998861825904875 \tabularnewline
185 & 0.000968292253109272 & 0.00193658450621854 & 0.999031707746891 \tabularnewline
186 & 0.000836354386402541 & 0.00167270877280508 & 0.999163645613597 \tabularnewline
187 & 0.000813304355133529 & 0.00162660871026706 & 0.999186695644867 \tabularnewline
188 & 0.000878095263653625 & 0.00175619052730725 & 0.999121904736346 \tabularnewline
189 & 0.000948325309512626 & 0.00189665061902525 & 0.999051674690487 \tabularnewline
190 & 0.00101187350611417 & 0.00202374701222834 & 0.998988126493886 \tabularnewline
191 & 0.00105152366956467 & 0.00210304733912933 & 0.998948476330435 \tabularnewline
192 & 0.00105270247140199 & 0.00210540494280397 & 0.998947297528598 \tabularnewline
193 & 0.00115614567307173 & 0.00231229134614347 & 0.998843854326928 \tabularnewline
194 & 0.00110961918689189 & 0.00221923837378378 & 0.998890380813108 \tabularnewline
195 & 0.00104271784931478 & 0.00208543569862956 & 0.998957282150685 \tabularnewline
196 & 0.00101955680078003 & 0.00203911360156006 & 0.99898044319922 \tabularnewline
197 & 0.000968152370517191 & 0.00193630474103438 & 0.999031847629483 \tabularnewline
198 & 0.000950850092803911 & 0.00190170018560782 & 0.999049149907196 \tabularnewline
199 & 0.00108600116809164 & 0.00217200233618328 & 0.998913998831908 \tabularnewline
200 & 0.00175994581650774 & 0.00351989163301549 & 0.998240054183492 \tabularnewline
201 & 0.00278694456230578 & 0.00557388912461155 & 0.997213055437694 \tabularnewline
202 & 0.00497892989256177 & 0.00995785978512354 & 0.995021070107438 \tabularnewline
203 & 0.00757545516008774 & 0.0151509103201755 & 0.992424544839912 \tabularnewline
204 & 0.0102496945997549 & 0.0204993891995097 & 0.989750305400245 \tabularnewline
205 & 0.0148024301730785 & 0.029604860346157 & 0.985197569826922 \tabularnewline
206 & 0.0240363731447211 & 0.0480727462894422 & 0.975963626855279 \tabularnewline
207 & 0.0988510744684024 & 0.197702148936805 & 0.901148925531598 \tabularnewline
208 & 0.302874550545817 & 0.605749101091633 & 0.697125449454183 \tabularnewline
209 & 0.619705441334555 & 0.760589117330891 & 0.380294558665445 \tabularnewline
210 & 0.883367244292882 & 0.233265511414236 & 0.116632755707118 \tabularnewline
211 & 0.897425580517958 & 0.205148838964084 & 0.102574419482042 \tabularnewline
212 & 0.947857280608517 & 0.104285438782965 & 0.0521427193914825 \tabularnewline
213 & 0.954053037092752 & 0.0918939258144965 & 0.0459469629072482 \tabularnewline
214 & 0.95871649748139 & 0.0825670050372208 & 0.0412835025186104 \tabularnewline
215 & 0.971275459222755 & 0.0574490815544892 & 0.0287245407772446 \tabularnewline
216 & 0.98076234544848 & 0.03847530910304 & 0.01923765455152 \tabularnewline
217 & 0.988424743503602 & 0.0231505129927968 & 0.0115752564963984 \tabularnewline
218 & 0.990544530690292 & 0.018910938619415 & 0.00945546930970751 \tabularnewline
219 & 0.990939802810719 & 0.0181203943785614 & 0.00906019718928068 \tabularnewline
220 & 0.990404838410337 & 0.0191903231793265 & 0.00959516158966324 \tabularnewline
221 & 0.98937006369201 & 0.0212598726159801 & 0.0106299363079901 \tabularnewline
222 & 0.988363600521748 & 0.0232727989565045 & 0.0116363994782522 \tabularnewline
223 & 0.986350068861797 & 0.0272998622764052 & 0.0136499311382026 \tabularnewline
224 & 0.98494174792632 & 0.0301165041473592 & 0.0150582520736796 \tabularnewline
225 & 0.98347179860217 & 0.0330564027956594 & 0.0165282013978297 \tabularnewline
226 & 0.981092695723415 & 0.037814608553171 & 0.0189073042765855 \tabularnewline
227 & 0.979200249147319 & 0.0415995017053614 & 0.0207997508526807 \tabularnewline
228 & 0.976750014376444 & 0.046499971247112 & 0.023249985623556 \tabularnewline
229 & 0.972015049709198 & 0.0559699005816038 & 0.0279849502908019 \tabularnewline
230 & 0.966586520555762 & 0.0668269588884762 & 0.0334134794442381 \tabularnewline
231 & 0.960013330812418 & 0.0799733383751645 & 0.0399866691875822 \tabularnewline
232 & 0.952533120769879 & 0.0949337584602426 & 0.0474668792301213 \tabularnewline
233 & 0.946019807059367 & 0.107960385881267 & 0.0539801929406333 \tabularnewline
234 & 0.939241406618209 & 0.121517186763581 & 0.0607585933817906 \tabularnewline
235 & 0.945836836649567 & 0.108326326700866 & 0.0541631633504332 \tabularnewline
236 & 0.977880623469555 & 0.0442387530608892 & 0.0221193765304446 \tabularnewline
237 & 0.993877487380069 & 0.0122450252398621 & 0.00612251261993105 \tabularnewline
238 & 0.998593921553119 & 0.00281215689376176 & 0.00140607844688088 \tabularnewline
239 & 0.999701348884668 & 0.00059730223066454 & 0.00029865111533227 \tabularnewline
240 & 0.999844605185684 & 0.000310789628631685 & 0.000155394814315842 \tabularnewline
241 & 0.999912208668866 & 0.000175582662268895 & 8.77913311344474e-05 \tabularnewline
242 & 0.999992464872167 & 1.50702556656618e-05 & 7.53512783283088e-06 \tabularnewline
243 & 0.999999999531196 & 9.37607838870603e-10 & 4.68803919435301e-10 \tabularnewline
244 & 0.99999999997801 & 4.39805552476645e-11 & 2.19902776238323e-11 \tabularnewline
245 & 0.999999999999943 & 1.13684835058994e-13 & 5.68424175294968e-14 \tabularnewline
246 & 0.999999999999993 & 1.47677906970997e-14 & 7.38389534854983e-15 \tabularnewline
247 & 0.999999999999994 & 1.19572973844416e-14 & 5.9786486922208e-15 \tabularnewline
248 & 0.999999999999999 & 2.19501906389276e-15 & 1.09750953194638e-15 \tabularnewline
249 & 1 & 1.32437418951111e-16 & 6.62187094755557e-17 \tabularnewline
250 & 1 & 2.62549238396805e-17 & 1.31274619198403e-17 \tabularnewline
251 & 1 & 7.32754877220675e-19 & 3.66377438610338e-19 \tabularnewline
252 & 1 & 2.20300697494258e-19 & 1.10150348747129e-19 \tabularnewline
253 & 1 & 3.83885046254578e-19 & 1.91942523127289e-19 \tabularnewline
254 & 1 & 8.83476074526379e-19 & 4.4173803726319e-19 \tabularnewline
255 & 1 & 6.41216364957502e-19 & 3.20608182478751e-19 \tabularnewline
256 & 1 & 1.19270329049175e-18 & 5.96351645245876e-19 \tabularnewline
257 & 1 & 1.61550449153554e-18 & 8.07752245767772e-19 \tabularnewline
258 & 1 & 3.20520731174029e-18 & 1.60260365587014e-18 \tabularnewline
259 & 1 & 7.78892112711213e-18 & 3.89446056355606e-18 \tabularnewline
260 & 1 & 1.88620057270513e-17 & 9.43100286352566e-18 \tabularnewline
261 & 1 & 4.57854552489252e-17 & 2.28927276244626e-17 \tabularnewline
262 & 1 & 9.85152220066092e-17 & 4.92576110033046e-17 \tabularnewline
263 & 1 & 2.28484565175511e-16 & 1.14242282587755e-16 \tabularnewline
264 & 1 & 5.18433824197115e-16 & 2.59216912098557e-16 \tabularnewline
265 & 1 & 8.88547902787205e-16 & 4.44273951393602e-16 \tabularnewline
266 & 0.999999999999999 & 1.6923758539608e-15 & 8.46187926980398e-16 \tabularnewline
267 & 0.999999999999998 & 3.59254432960325e-15 & 1.79627216480162e-15 \tabularnewline
268 & 0.999999999999997 & 6.50458148700465e-15 & 3.25229074350233e-15 \tabularnewline
269 & 0.999999999999993 & 1.34349898572039e-14 & 6.71749492860197e-15 \tabularnewline
270 & 0.999999999999991 & 1.86503128829199e-14 & 9.32515644145995e-15 \tabularnewline
271 & 0.999999999999986 & 2.82210421884514e-14 & 1.41105210942257e-14 \tabularnewline
272 & 0.999999999999977 & 4.63235322684299e-14 & 2.31617661342149e-14 \tabularnewline
273 & 0.999999999999956 & 8.8846604121098e-14 & 4.4423302060549e-14 \tabularnewline
274 & 0.999999999999906 & 1.87943503179471e-13 & 9.39717515897356e-14 \tabularnewline
275 & 0.999999999999834 & 3.31017741508635e-13 & 1.65508870754318e-13 \tabularnewline
276 & 0.999999999999874 & 2.5203363618991e-13 & 1.26016818094955e-13 \tabularnewline
277 & 0.999999999999713 & 5.73177032401101e-13 & 2.86588516200551e-13 \tabularnewline
278 & 0.999999999999819 & 3.61300516038115e-13 & 1.80650258019058e-13 \tabularnewline
279 & 0.999999999999837 & 3.26906092255713e-13 & 1.63453046127856e-13 \tabularnewline
280 & 0.999999999999812 & 3.7564266202487e-13 & 1.87821331012435e-13 \tabularnewline
281 & 0.999999999999722 & 5.55811924938147e-13 & 2.77905962469073e-13 \tabularnewline
282 & 0.999999999999499 & 1.0023650136179e-12 & 5.01182506808949e-13 \tabularnewline
283 & 0.99999999999901 & 1.97950507555792e-12 & 9.89752537778961e-13 \tabularnewline
284 & 0.999999999998426 & 3.14742285627988e-12 & 1.57371142813994e-12 \tabularnewline
285 & 0.999999999996785 & 6.42928936980998e-12 & 3.21464468490499e-12 \tabularnewline
286 & 0.999999999993632 & 1.27353581539909e-11 & 6.36767907699547e-12 \tabularnewline
287 & 0.999999999988079 & 2.38428682317102e-11 & 1.19214341158551e-11 \tabularnewline
288 & 0.999999999981131 & 3.77382521826102e-11 & 1.88691260913051e-11 \tabularnewline
289 & 0.999999999970998 & 5.80036691944289e-11 & 2.90018345972145e-11 \tabularnewline
290 & 0.999999999982094 & 3.58114680647188e-11 & 1.79057340323594e-11 \tabularnewline
291 & 0.999999999987797 & 2.44064897018995e-11 & 1.22032448509497e-11 \tabularnewline
292 & 0.999999999974463 & 5.10734474365914e-11 & 2.55367237182957e-11 \tabularnewline
293 & 0.999999999940232 & 1.19536556940989e-10 & 5.97682784704946e-11 \tabularnewline
294 & 0.999999999924276 & 1.51448886995367e-10 & 7.57244434976834e-11 \tabularnewline
295 & 0.999999999844007 & 3.11986924425287e-10 & 1.55993462212643e-10 \tabularnewline
296 & 0.999999999640683 & 7.1863388914932e-10 & 3.5931694457466e-10 \tabularnewline
297 & 0.999999999180828 & 1.63834316251362e-09 & 8.19171581256809e-10 \tabularnewline
298 & 0.999999998430817 & 3.13836546500973e-09 & 1.56918273250487e-09 \tabularnewline
299 & 0.99999999752321 & 4.95357945114223e-09 & 2.47678972557112e-09 \tabularnewline
300 & 0.999999995560023 & 8.87995492534815e-09 & 4.43997746267407e-09 \tabularnewline
301 & 0.999999990454474 & 1.90910512724552e-08 & 9.54552563622758e-09 \tabularnewline
302 & 0.999999984760476 & 3.04790483686352e-08 & 1.52395241843176e-08 \tabularnewline
303 & 0.99999996715152 & 6.56969603854883e-08 & 3.28484801927442e-08 \tabularnewline
304 & 0.999999929088379 & 1.41823242139716e-07 & 7.09116210698582e-08 \tabularnewline
305 & 0.999999856316585 & 2.87366830463238e-07 & 1.43683415231619e-07 \tabularnewline
306 & 0.999999701632511 & 5.96734977837387e-07 & 2.98367488918693e-07 \tabularnewline
307 & 0.999999445126891 & 1.10974621868613e-06 & 5.54873109343063e-07 \tabularnewline
308 & 0.999998870594587 & 2.25881082524872e-06 & 1.12940541262436e-06 \tabularnewline
309 & 0.999997702328767 & 4.59534246601766e-06 & 2.29767123300883e-06 \tabularnewline
310 & 0.999995386241098 & 9.2275178033093e-06 & 4.61375890165465e-06 \tabularnewline
311 & 0.999991633127803 & 1.67337443944297e-05 & 8.36687219721483e-06 \tabularnewline
312 & 0.9999864857654 & 2.70284691993256e-05 & 1.35142345996628e-05 \tabularnewline
313 & 0.999982879640643 & 3.42407187135132e-05 & 1.71203593567566e-05 \tabularnewline
314 & 0.999980004708498 & 3.99905830031281e-05 & 1.99952915015641e-05 \tabularnewline
315 & 0.999973866892008 & 5.22662159848697e-05 & 2.61331079924348e-05 \tabularnewline
316 & 0.999964201926092 & 7.15961478165228e-05 & 3.57980739082614e-05 \tabularnewline
317 & 0.999933901446877 & 0.000132197106246204 & 6.6098553123102e-05 \tabularnewline
318 & 0.999895780336128 & 0.000208439327743919 & 0.000104219663871959 \tabularnewline
319 & 0.999813502501912 & 0.000372994996175545 & 0.000186497498087772 \tabularnewline
320 & 0.999652666390409 & 0.000694667219182567 & 0.000347333609591284 \tabularnewline
321 & 0.99937247938726 & 0.00125504122548068 & 0.00062752061274034 \tabularnewline
322 & 0.998861312672313 & 0.0022773746553743 & 0.00113868732768715 \tabularnewline
323 & 0.998059043263299 & 0.00388191347340237 & 0.00194095673670118 \tabularnewline
324 & 0.997981658234635 & 0.00403668353073079 & 0.0020183417653654 \tabularnewline
325 & 0.99685188155281 & 0.0062962368943809 & 0.00314811844719045 \tabularnewline
326 & 0.996084242946494 & 0.00783151410701222 & 0.00391575705350611 \tabularnewline
327 & 0.995656497445514 & 0.00868700510897183 & 0.00434350255448591 \tabularnewline
328 & 0.993493180668515 & 0.0130136386629707 & 0.00650681933148534 \tabularnewline
329 & 0.988872283072729 & 0.0222554338545429 & 0.0111277169272715 \tabularnewline
330 & 0.986549427079218 & 0.0269011458415646 & 0.0134505729207823 \tabularnewline
331 & 0.977369578261893 & 0.0452608434762139 & 0.022630421738107 \tabularnewline
332 & 0.965448580534468 & 0.069102838931064 & 0.034551419465532 \tabularnewline
333 & 0.957730784830822 & 0.0845384303383557 & 0.0422692151691779 \tabularnewline
334 & 0.950952075479392 & 0.098095849041217 & 0.0490479245206085 \tabularnewline
335 & 0.958749127375562 & 0.082501745248877 & 0.0412508726244385 \tabularnewline
336 & 0.984777297007493 & 0.0304454059850136 & 0.0152227029925068 \tabularnewline
337 & 0.992885262947417 & 0.0142294741051663 & 0.00711473705258316 \tabularnewline
338 & 0.997658882665837 & 0.00468223466832507 & 0.00234111733416253 \tabularnewline
339 & 0.998711372164136 & 0.00257725567172714 & 0.00128862783586357 \tabularnewline
340 & 0.998395645686749 & 0.00320870862650194 & 0.00160435431325097 \tabularnewline
341 & 0.999566928197041 & 0.00086614360591777 & 0.000433071802958885 \tabularnewline
342 & 0.99761415247143 & 0.00477169505714048 & 0.00238584752857024 \tabularnewline
343 & 0.990793655862247 & 0.0184126882755053 & 0.00920634413775267 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=185605&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]17[/C][C]0.156938236245353[/C][C]0.313876472490706[/C][C]0.843061763754647[/C][/ROW]
[ROW][C]18[/C][C]0.603874457264853[/C][C]0.792251085470294[/C][C]0.396125542735147[/C][/ROW]
[ROW][C]19[/C][C]0.49150418377061[/C][C]0.983008367541221[/C][C]0.50849581622939[/C][/ROW]
[ROW][C]20[/C][C]0.362762370690304[/C][C]0.725524741380608[/C][C]0.637237629309696[/C][/ROW]
[ROW][C]21[/C][C]0.253764393571783[/C][C]0.507528787143566[/C][C]0.746235606428217[/C][/ROW]
[ROW][C]22[/C][C]0.178799903968556[/C][C]0.357599807937112[/C][C]0.821200096031444[/C][/ROW]
[ROW][C]23[/C][C]0.149401285814682[/C][C]0.298802571629365[/C][C]0.850598714185318[/C][/ROW]
[ROW][C]24[/C][C]0.128876839384883[/C][C]0.257753678769766[/C][C]0.871123160615117[/C][/ROW]
[ROW][C]25[/C][C]0.188942609214912[/C][C]0.377885218429824[/C][C]0.811057390785088[/C][/ROW]
[ROW][C]26[/C][C]0.280081603189725[/C][C]0.560163206379449[/C][C]0.719918396810275[/C][/ROW]
[ROW][C]27[/C][C]0.892661251211965[/C][C]0.214677497576069[/C][C]0.107338748788035[/C][/ROW]
[ROW][C]28[/C][C]0.893008116919763[/C][C]0.213983766160475[/C][C]0.106991883080237[/C][/ROW]
[ROW][C]29[/C][C]0.856646439283918[/C][C]0.286707121432164[/C][C]0.143353560716082[/C][/ROW]
[ROW][C]30[/C][C]0.81478590010238[/C][C]0.370428199795241[/C][C]0.18521409989762[/C][/ROW]
[ROW][C]31[/C][C]0.765608457890064[/C][C]0.468783084219871[/C][C]0.234391542109936[/C][/ROW]
[ROW][C]32[/C][C]0.739838662491211[/C][C]0.520322675017578[/C][C]0.260161337508789[/C][/ROW]
[ROW][C]33[/C][C]0.695802962380203[/C][C]0.608394075239595[/C][C]0.304197037619797[/C][/ROW]
[ROW][C]34[/C][C]0.644604442207765[/C][C]0.710791115584469[/C][C]0.355395557792235[/C][/ROW]
[ROW][C]35[/C][C]0.59337463009231[/C][C]0.81325073981538[/C][C]0.40662536990769[/C][/ROW]
[ROW][C]36[/C][C]0.542369003454596[/C][C]0.915261993090807[/C][C]0.457630996545404[/C][/ROW]
[ROW][C]37[/C][C]0.487988935850587[/C][C]0.975977871701175[/C][C]0.512011064149413[/C][/ROW]
[ROW][C]38[/C][C]0.436915412335892[/C][C]0.873830824671783[/C][C]0.563084587664108[/C][/ROW]
[ROW][C]39[/C][C]0.403395234487452[/C][C]0.806790468974903[/C][C]0.596604765512548[/C][/ROW]
[ROW][C]40[/C][C]0.446712977732703[/C][C]0.893425955465405[/C][C]0.553287022267297[/C][/ROW]
[ROW][C]41[/C][C]0.445720097218832[/C][C]0.891440194437665[/C][C]0.554279902781168[/C][/ROW]
[ROW][C]42[/C][C]0.407313748274389[/C][C]0.814627496548778[/C][C]0.592686251725611[/C][/ROW]
[ROW][C]43[/C][C]0.358713020052215[/C][C]0.717426040104431[/C][C]0.641286979947784[/C][/ROW]
[ROW][C]44[/C][C]0.310913114162425[/C][C]0.62182622832485[/C][C]0.689086885837575[/C][/ROW]
[ROW][C]45[/C][C]0.265657662666929[/C][C]0.531315325333859[/C][C]0.734342337333071[/C][/ROW]
[ROW][C]46[/C][C]0.223985543760348[/C][C]0.447971087520696[/C][C]0.776014456239652[/C][/ROW]
[ROW][C]47[/C][C]0.187555407544001[/C][C]0.375110815088001[/C][C]0.812444592455999[/C][/ROW]
[ROW][C]48[/C][C]0.18100234423857[/C][C]0.362004688477141[/C][C]0.81899765576143[/C][/ROW]
[ROW][C]49[/C][C]0.14942407076097[/C][C]0.298848141521939[/C][C]0.85057592923903[/C][/ROW]
[ROW][C]50[/C][C]0.139047764379255[/C][C]0.278095528758509[/C][C]0.860952235620745[/C][/ROW]
[ROW][C]51[/C][C]0.153133049105944[/C][C]0.306266098211889[/C][C]0.846866950894056[/C][/ROW]
[ROW][C]52[/C][C]0.164002800696072[/C][C]0.328005601392144[/C][C]0.835997199303928[/C][/ROW]
[ROW][C]53[/C][C]0.181761041451644[/C][C]0.363522082903288[/C][C]0.818238958548356[/C][/ROW]
[ROW][C]54[/C][C]0.175447788625417[/C][C]0.350895577250833[/C][C]0.824552211374583[/C][/ROW]
[ROW][C]55[/C][C]0.173543961112042[/C][C]0.347087922224085[/C][C]0.826456038887958[/C][/ROW]
[ROW][C]56[/C][C]0.164613691412265[/C][C]0.329227382824531[/C][C]0.835386308587735[/C][/ROW]
[ROW][C]57[/C][C]0.145004476481818[/C][C]0.290008952963635[/C][C]0.854995523518182[/C][/ROW]
[ROW][C]58[/C][C]0.146334805308642[/C][C]0.292669610617285[/C][C]0.853665194691358[/C][/ROW]
[ROW][C]59[/C][C]0.167381031563327[/C][C]0.334762063126654[/C][C]0.832618968436673[/C][/ROW]
[ROW][C]60[/C][C]0.152037686939957[/C][C]0.304075373879913[/C][C]0.847962313060043[/C][/ROW]
[ROW][C]61[/C][C]0.131875844807093[/C][C]0.263751689614185[/C][C]0.868124155192907[/C][/ROW]
[ROW][C]62[/C][C]0.117141118035039[/C][C]0.234282236070079[/C][C]0.882858881964961[/C][/ROW]
[ROW][C]63[/C][C]0.100249145753577[/C][C]0.200498291507154[/C][C]0.899750854246423[/C][/ROW]
[ROW][C]64[/C][C]0.0859863907050258[/C][C]0.171972781410052[/C][C]0.914013609294974[/C][/ROW]
[ROW][C]65[/C][C]0.0728557186638798[/C][C]0.14571143732776[/C][C]0.92714428133612[/C][/ROW]
[ROW][C]66[/C][C]0.060452754004986[/C][C]0.120905508009972[/C][C]0.939547245995014[/C][/ROW]
[ROW][C]67[/C][C]0.0514895425069953[/C][C]0.102979085013991[/C][C]0.948510457493005[/C][/ROW]
[ROW][C]68[/C][C]0.0431798223054955[/C][C]0.0863596446109909[/C][C]0.956820177694505[/C][/ROW]
[ROW][C]69[/C][C]0.0361429012365735[/C][C]0.0722858024731471[/C][C]0.963857098763427[/C][/ROW]
[ROW][C]70[/C][C]0.0341848917982327[/C][C]0.0683697835964655[/C][C]0.965815108201767[/C][/ROW]
[ROW][C]71[/C][C]0.028504911993586[/C][C]0.057009823987172[/C][C]0.971495088006414[/C][/ROW]
[ROW][C]72[/C][C]0.0232350461689517[/C][C]0.0464700923379033[/C][C]0.976764953831048[/C][/ROW]
[ROW][C]73[/C][C]0.0240385635400351[/C][C]0.0480771270800702[/C][C]0.975961436459965[/C][/ROW]
[ROW][C]74[/C][C]0.0244784638580337[/C][C]0.0489569277160674[/C][C]0.975521536141966[/C][/ROW]
[ROW][C]75[/C][C]0.0243164823283988[/C][C]0.0486329646567975[/C][C]0.975683517671601[/C][/ROW]
[ROW][C]76[/C][C]0.0208791033050203[/C][C]0.0417582066100406[/C][C]0.97912089669498[/C][/ROW]
[ROW][C]77[/C][C]0.0174103178327712[/C][C]0.0348206356655424[/C][C]0.982589682167229[/C][/ROW]
[ROW][C]78[/C][C]0.0151662212340809[/C][C]0.0303324424681618[/C][C]0.984833778765919[/C][/ROW]
[ROW][C]79[/C][C]0.0139705091298166[/C][C]0.0279410182596332[/C][C]0.986029490870183[/C][/ROW]
[ROW][C]80[/C][C]0.0137443816313166[/C][C]0.0274887632626332[/C][C]0.986255618368683[/C][/ROW]
[ROW][C]81[/C][C]0.0121918092570253[/C][C]0.0243836185140505[/C][C]0.987808190742975[/C][/ROW]
[ROW][C]82[/C][C]0.0113311465834904[/C][C]0.0226622931669808[/C][C]0.98866885341651[/C][/ROW]
[ROW][C]83[/C][C]0.0110051799376245[/C][C]0.022010359875249[/C][C]0.988994820062375[/C][/ROW]
[ROW][C]84[/C][C]0.0113476786014201[/C][C]0.0226953572028402[/C][C]0.98865232139858[/C][/ROW]
[ROW][C]85[/C][C]0.016804698354911[/C][C]0.0336093967098219[/C][C]0.983195301645089[/C][/ROW]
[ROW][C]86[/C][C]0.0252863380202924[/C][C]0.0505726760405847[/C][C]0.974713661979708[/C][/ROW]
[ROW][C]87[/C][C]0.0318526352816393[/C][C]0.0637052705632786[/C][C]0.968147364718361[/C][/ROW]
[ROW][C]88[/C][C]0.0389811561070884[/C][C]0.0779623122141768[/C][C]0.961018843892912[/C][/ROW]
[ROW][C]89[/C][C]0.0440121034000902[/C][C]0.0880242068001805[/C][C]0.95598789659991[/C][/ROW]
[ROW][C]90[/C][C]0.0525123197275509[/C][C]0.105024639455102[/C][C]0.947487680272449[/C][/ROW]
[ROW][C]91[/C][C]0.0666149926566938[/C][C]0.133229985313388[/C][C]0.933385007343306[/C][/ROW]
[ROW][C]92[/C][C]0.0724900183045393[/C][C]0.144980036609079[/C][C]0.927509981695461[/C][/ROW]
[ROW][C]93[/C][C]0.0795906608761884[/C][C]0.159181321752377[/C][C]0.920409339123812[/C][/ROW]
[ROW][C]94[/C][C]0.100014331823991[/C][C]0.200028663647982[/C][C]0.899985668176009[/C][/ROW]
[ROW][C]95[/C][C]0.125202883827727[/C][C]0.250405767655455[/C][C]0.874797116172273[/C][/ROW]
[ROW][C]96[/C][C]0.145819529330881[/C][C]0.291639058661763[/C][C]0.854180470669119[/C][/ROW]
[ROW][C]97[/C][C]0.195838016334499[/C][C]0.391676032668998[/C][C]0.804161983665501[/C][/ROW]
[ROW][C]98[/C][C]0.246028706581666[/C][C]0.492057413163331[/C][C]0.753971293418334[/C][/ROW]
[ROW][C]99[/C][C]0.273208077131506[/C][C]0.546416154263012[/C][C]0.726791922868494[/C][/ROW]
[ROW][C]100[/C][C]0.313667263526253[/C][C]0.627334527052506[/C][C]0.686332736473747[/C][/ROW]
[ROW][C]101[/C][C]0.351304509872733[/C][C]0.702609019745466[/C][C]0.648695490127267[/C][/ROW]
[ROW][C]102[/C][C]0.368649245304415[/C][C]0.737298490608831[/C][C]0.631350754695585[/C][/ROW]
[ROW][C]103[/C][C]0.385101189557052[/C][C]0.770202379114103[/C][C]0.614898810442948[/C][/ROW]
[ROW][C]104[/C][C]0.3912317012386[/C][C]0.782463402477199[/C][C]0.6087682987614[/C][/ROW]
[ROW][C]105[/C][C]0.390197664862498[/C][C]0.780395329724996[/C][C]0.609802335137502[/C][/ROW]
[ROW][C]106[/C][C]0.395174894364416[/C][C]0.790349788728831[/C][C]0.604825105635584[/C][/ROW]
[ROW][C]107[/C][C]0.390143078505893[/C][C]0.780286157011787[/C][C]0.609856921494107[/C][/ROW]
[ROW][C]108[/C][C]0.374189126430158[/C][C]0.748378252860317[/C][C]0.625810873569842[/C][/ROW]
[ROW][C]109[/C][C]0.394462986198758[/C][C]0.788925972397516[/C][C]0.605537013801242[/C][/ROW]
[ROW][C]110[/C][C]0.670591723537528[/C][C]0.658816552924944[/C][C]0.329408276462472[/C][/ROW]
[ROW][C]111[/C][C]0.789063465629513[/C][C]0.421873068740974[/C][C]0.210936534370487[/C][/ROW]
[ROW][C]112[/C][C]0.816510576232881[/C][C]0.366978847534239[/C][C]0.183489423767119[/C][/ROW]
[ROW][C]113[/C][C]0.816622423792559[/C][C]0.366755152414881[/C][C]0.18337757620744[/C][/ROW]
[ROW][C]114[/C][C]0.811045516817287[/C][C]0.377908966365426[/C][C]0.188954483182713[/C][/ROW]
[ROW][C]115[/C][C]0.793715974716771[/C][C]0.412568050566458[/C][C]0.206284025283229[/C][/ROW]
[ROW][C]116[/C][C]0.769666798947922[/C][C]0.460666402104156[/C][C]0.230333201052078[/C][/ROW]
[ROW][C]117[/C][C]0.744395432725715[/C][C]0.51120913454857[/C][C]0.255604567274285[/C][/ROW]
[ROW][C]118[/C][C]0.716845142554156[/C][C]0.566309714891688[/C][C]0.283154857445844[/C][/ROW]
[ROW][C]119[/C][C]0.689151135881993[/C][C]0.621697728236014[/C][C]0.310848864118007[/C][/ROW]
[ROW][C]120[/C][C]0.663753955489219[/C][C]0.672492089021561[/C][C]0.336246044510781[/C][/ROW]
[ROW][C]121[/C][C]0.639966380106171[/C][C]0.720067239787658[/C][C]0.360033619893829[/C][/ROW]
[ROW][C]122[/C][C]0.609025181874298[/C][C]0.781949636251405[/C][C]0.390974818125702[/C][/ROW]
[ROW][C]123[/C][C]0.577899114034134[/C][C]0.844201771931732[/C][C]0.422100885965866[/C][/ROW]
[ROW][C]124[/C][C]0.54542411608885[/C][C]0.9091517678223[/C][C]0.45457588391115[/C][/ROW]
[ROW][C]125[/C][C]0.515804091141923[/C][C]0.968391817716153[/C][C]0.484195908858077[/C][/ROW]
[ROW][C]126[/C][C]0.485680509633196[/C][C]0.971361019266392[/C][C]0.514319490366804[/C][/ROW]
[ROW][C]127[/C][C]0.462217579611333[/C][C]0.924435159222666[/C][C]0.537782420388667[/C][/ROW]
[ROW][C]128[/C][C]0.449775766975039[/C][C]0.899551533950077[/C][C]0.550224233024961[/C][/ROW]
[ROW][C]129[/C][C]0.426761064369951[/C][C]0.853522128739902[/C][C]0.573238935630049[/C][/ROW]
[ROW][C]130[/C][C]0.400234008483324[/C][C]0.800468016966648[/C][C]0.599765991516676[/C][/ROW]
[ROW][C]131[/C][C]0.380075365464697[/C][C]0.760150730929394[/C][C]0.619924634535303[/C][/ROW]
[ROW][C]132[/C][C]0.358826166374185[/C][C]0.71765233274837[/C][C]0.641173833625815[/C][/ROW]
[ROW][C]133[/C][C]0.33446762674984[/C][C]0.66893525349968[/C][C]0.66553237325016[/C][/ROW]
[ROW][C]134[/C][C]0.314348283624093[/C][C]0.628696567248185[/C][C]0.685651716375907[/C][/ROW]
[ROW][C]135[/C][C]0.293786794312237[/C][C]0.587573588624474[/C][C]0.706213205687763[/C][/ROW]
[ROW][C]136[/C][C]0.27125927286395[/C][C]0.542518545727899[/C][C]0.72874072713605[/C][/ROW]
[ROW][C]137[/C][C]0.250922024076841[/C][C]0.501844048153682[/C][C]0.749077975923159[/C][/ROW]
[ROW][C]138[/C][C]0.231443355492409[/C][C]0.462886710984819[/C][C]0.768556644507591[/C][/ROW]
[ROW][C]139[/C][C]0.214571261480136[/C][C]0.429142522960272[/C][C]0.785428738519864[/C][/ROW]
[ROW][C]140[/C][C]0.201657055831682[/C][C]0.403314111663364[/C][C]0.798342944168318[/C][/ROW]
[ROW][C]141[/C][C]0.188358778324419[/C][C]0.376717556648838[/C][C]0.811641221675581[/C][/ROW]
[ROW][C]142[/C][C]0.174139264406649[/C][C]0.348278528813299[/C][C]0.825860735593351[/C][/ROW]
[ROW][C]143[/C][C]0.157159682896061[/C][C]0.314319365792121[/C][C]0.842840317103939[/C][/ROW]
[ROW][C]144[/C][C]0.141619713631844[/C][C]0.283239427263687[/C][C]0.858380286368156[/C][/ROW]
[ROW][C]145[/C][C]0.130244344555002[/C][C]0.260488689110005[/C][C]0.869755655444998[/C][/ROW]
[ROW][C]146[/C][C]0.12523006215046[/C][C]0.25046012430092[/C][C]0.87476993784954[/C][/ROW]
[ROW][C]147[/C][C]0.122038251662836[/C][C]0.244076503325672[/C][C]0.877961748337164[/C][/ROW]
[ROW][C]148[/C][C]0.109424252747481[/C][C]0.218848505494963[/C][C]0.890575747252519[/C][/ROW]
[ROW][C]149[/C][C]0.101383964649309[/C][C]0.202767929298618[/C][C]0.898616035350691[/C][/ROW]
[ROW][C]150[/C][C]0.0916959192427708[/C][C]0.183391838485542[/C][C]0.908304080757229[/C][/ROW]
[ROW][C]151[/C][C]0.0836542062774673[/C][C]0.167308412554935[/C][C]0.916345793722533[/C][/ROW]
[ROW][C]152[/C][C]0.0762731312415375[/C][C]0.152546262483075[/C][C]0.923726868758462[/C][/ROW]
[ROW][C]153[/C][C]0.0696867420684603[/C][C]0.139373484136921[/C][C]0.93031325793154[/C][/ROW]
[ROW][C]154[/C][C]0.0628884425156098[/C][C]0.12577688503122[/C][C]0.93711155748439[/C][/ROW]
[ROW][C]155[/C][C]0.0550031250156443[/C][C]0.110006250031289[/C][C]0.944996874984356[/C][/ROW]
[ROW][C]156[/C][C]0.048800700086042[/C][C]0.097601400172084[/C][C]0.951199299913958[/C][/ROW]
[ROW][C]157[/C][C]0.044854426720758[/C][C]0.0897088534415161[/C][C]0.955145573279242[/C][/ROW]
[ROW][C]158[/C][C]0.0413630911855414[/C][C]0.0827261823710828[/C][C]0.958636908814459[/C][/ROW]
[ROW][C]159[/C][C]0.0355018202963291[/C][C]0.0710036405926581[/C][C]0.964498179703671[/C][/ROW]
[ROW][C]160[/C][C]0.0301377731790163[/C][C]0.0602755463580326[/C][C]0.969862226820984[/C][/ROW]
[ROW][C]161[/C][C]0.0256539729673637[/C][C]0.0513079459347274[/C][C]0.974346027032636[/C][/ROW]
[ROW][C]162[/C][C]0.0225448529104793[/C][C]0.0450897058209586[/C][C]0.977455147089521[/C][/ROW]
[ROW][C]163[/C][C]0.0208703183292356[/C][C]0.0417406366584711[/C][C]0.979129681670764[/C][/ROW]
[ROW][C]164[/C][C]0.0197238949389946[/C][C]0.0394477898779892[/C][C]0.980276105061005[/C][/ROW]
[ROW][C]165[/C][C]0.0168355308485651[/C][C]0.0336710616971301[/C][C]0.983164469151435[/C][/ROW]
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[ROW][C]309[/C][C]0.999997702328767[/C][C]4.59534246601766e-06[/C][C]2.29767123300883e-06[/C][/ROW]
[ROW][C]310[/C][C]0.999995386241098[/C][C]9.2275178033093e-06[/C][C]4.61375890165465e-06[/C][/ROW]
[ROW][C]311[/C][C]0.999991633127803[/C][C]1.67337443944297e-05[/C][C]8.36687219721483e-06[/C][/ROW]
[ROW][C]312[/C][C]0.9999864857654[/C][C]2.70284691993256e-05[/C][C]1.35142345996628e-05[/C][/ROW]
[ROW][C]313[/C][C]0.999982879640643[/C][C]3.42407187135132e-05[/C][C]1.71203593567566e-05[/C][/ROW]
[ROW][C]314[/C][C]0.999980004708498[/C][C]3.99905830031281e-05[/C][C]1.99952915015641e-05[/C][/ROW]
[ROW][C]315[/C][C]0.999973866892008[/C][C]5.22662159848697e-05[/C][C]2.61331079924348e-05[/C][/ROW]
[ROW][C]316[/C][C]0.999964201926092[/C][C]7.15961478165228e-05[/C][C]3.57980739082614e-05[/C][/ROW]
[ROW][C]317[/C][C]0.999933901446877[/C][C]0.000132197106246204[/C][C]6.6098553123102e-05[/C][/ROW]
[ROW][C]318[/C][C]0.999895780336128[/C][C]0.000208439327743919[/C][C]0.000104219663871959[/C][/ROW]
[ROW][C]319[/C][C]0.999813502501912[/C][C]0.000372994996175545[/C][C]0.000186497498087772[/C][/ROW]
[ROW][C]320[/C][C]0.999652666390409[/C][C]0.000694667219182567[/C][C]0.000347333609591284[/C][/ROW]
[ROW][C]321[/C][C]0.99937247938726[/C][C]0.00125504122548068[/C][C]0.00062752061274034[/C][/ROW]
[ROW][C]322[/C][C]0.998861312672313[/C][C]0.0022773746553743[/C][C]0.00113868732768715[/C][/ROW]
[ROW][C]323[/C][C]0.998059043263299[/C][C]0.00388191347340237[/C][C]0.00194095673670118[/C][/ROW]
[ROW][C]324[/C][C]0.997981658234635[/C][C]0.00403668353073079[/C][C]0.0020183417653654[/C][/ROW]
[ROW][C]325[/C][C]0.99685188155281[/C][C]0.0062962368943809[/C][C]0.00314811844719045[/C][/ROW]
[ROW][C]326[/C][C]0.996084242946494[/C][C]0.00783151410701222[/C][C]0.00391575705350611[/C][/ROW]
[ROW][C]327[/C][C]0.995656497445514[/C][C]0.00868700510897183[/C][C]0.00434350255448591[/C][/ROW]
[ROW][C]328[/C][C]0.993493180668515[/C][C]0.0130136386629707[/C][C]0.00650681933148534[/C][/ROW]
[ROW][C]329[/C][C]0.988872283072729[/C][C]0.0222554338545429[/C][C]0.0111277169272715[/C][/ROW]
[ROW][C]330[/C][C]0.986549427079218[/C][C]0.0269011458415646[/C][C]0.0134505729207823[/C][/ROW]
[ROW][C]331[/C][C]0.977369578261893[/C][C]0.0452608434762139[/C][C]0.022630421738107[/C][/ROW]
[ROW][C]332[/C][C]0.965448580534468[/C][C]0.069102838931064[/C][C]0.034551419465532[/C][/ROW]
[ROW][C]333[/C][C]0.957730784830822[/C][C]0.0845384303383557[/C][C]0.0422692151691779[/C][/ROW]
[ROW][C]334[/C][C]0.950952075479392[/C][C]0.098095849041217[/C][C]0.0490479245206085[/C][/ROW]
[ROW][C]335[/C][C]0.958749127375562[/C][C]0.082501745248877[/C][C]0.0412508726244385[/C][/ROW]
[ROW][C]336[/C][C]0.984777297007493[/C][C]0.0304454059850136[/C][C]0.0152227029925068[/C][/ROW]
[ROW][C]337[/C][C]0.992885262947417[/C][C]0.0142294741051663[/C][C]0.00711473705258316[/C][/ROW]
[ROW][C]338[/C][C]0.997658882665837[/C][C]0.00468223466832507[/C][C]0.00234111733416253[/C][/ROW]
[ROW][C]339[/C][C]0.998711372164136[/C][C]0.00257725567172714[/C][C]0.00128862783586357[/C][/ROW]
[ROW][C]340[/C][C]0.998395645686749[/C][C]0.00320870862650194[/C][C]0.00160435431325097[/C][/ROW]
[ROW][C]341[/C][C]0.999566928197041[/C][C]0.00086614360591777[/C][C]0.000433071802958885[/C][/ROW]
[ROW][C]342[/C][C]0.99761415247143[/C][C]0.00477169505714048[/C][C]0.00238584752857024[/C][/ROW]
[ROW][C]343[/C][C]0.990793655862247[/C][C]0.0184126882755053[/C][C]0.00920634413775267[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=185605&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=185605&T=5

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

 Goldfeld-Quandt test for Heteroskedasticity p-values Alternative Hypothesis breakpoint index greater 2-sided less 17 0.156938236245353 0.313876472490706 0.843061763754647 18 0.603874457264853 0.792251085470294 0.396125542735147 19 0.49150418377061 0.983008367541221 0.50849581622939 20 0.362762370690304 0.725524741380608 0.637237629309696 21 0.253764393571783 0.507528787143566 0.746235606428217 22 0.178799903968556 0.357599807937112 0.821200096031444 23 0.149401285814682 0.298802571629365 0.850598714185318 24 0.128876839384883 0.257753678769766 0.871123160615117 25 0.188942609214912 0.377885218429824 0.811057390785088 26 0.280081603189725 0.560163206379449 0.719918396810275 27 0.892661251211965 0.214677497576069 0.107338748788035 28 0.893008116919763 0.213983766160475 0.106991883080237 29 0.856646439283918 0.286707121432164 0.143353560716082 30 0.81478590010238 0.370428199795241 0.18521409989762 31 0.765608457890064 0.468783084219871 0.234391542109936 32 0.739838662491211 0.520322675017578 0.260161337508789 33 0.695802962380203 0.608394075239595 0.304197037619797 34 0.644604442207765 0.710791115584469 0.355395557792235 35 0.59337463009231 0.81325073981538 0.40662536990769 36 0.542369003454596 0.915261993090807 0.457630996545404 37 0.487988935850587 0.975977871701175 0.512011064149413 38 0.436915412335892 0.873830824671783 0.563084587664108 39 0.403395234487452 0.806790468974903 0.596604765512548 40 0.446712977732703 0.893425955465405 0.553287022267297 41 0.445720097218832 0.891440194437665 0.554279902781168 42 0.407313748274389 0.814627496548778 0.592686251725611 43 0.358713020052215 0.717426040104431 0.641286979947784 44 0.310913114162425 0.62182622832485 0.689086885837575 45 0.265657662666929 0.531315325333859 0.734342337333071 46 0.223985543760348 0.447971087520696 0.776014456239652 47 0.187555407544001 0.375110815088001 0.812444592455999 48 0.18100234423857 0.362004688477141 0.81899765576143 49 0.14942407076097 0.298848141521939 0.85057592923903 50 0.139047764379255 0.278095528758509 0.860952235620745 51 0.153133049105944 0.306266098211889 0.846866950894056 52 0.164002800696072 0.328005601392144 0.835997199303928 53 0.181761041451644 0.363522082903288 0.818238958548356 54 0.175447788625417 0.350895577250833 0.824552211374583 55 0.173543961112042 0.347087922224085 0.826456038887958 56 0.164613691412265 0.329227382824531 0.835386308587735 57 0.145004476481818 0.290008952963635 0.854995523518182 58 0.146334805308642 0.292669610617285 0.853665194691358 59 0.167381031563327 0.334762063126654 0.832618968436673 60 0.152037686939957 0.304075373879913 0.847962313060043 61 0.131875844807093 0.263751689614185 0.868124155192907 62 0.117141118035039 0.234282236070079 0.882858881964961 63 0.100249145753577 0.200498291507154 0.899750854246423 64 0.0859863907050258 0.171972781410052 0.914013609294974 65 0.0728557186638798 0.14571143732776 0.92714428133612 66 0.060452754004986 0.120905508009972 0.939547245995014 67 0.0514895425069953 0.102979085013991 0.948510457493005 68 0.0431798223054955 0.0863596446109909 0.956820177694505 69 0.0361429012365735 0.0722858024731471 0.963857098763427 70 0.0341848917982327 0.0683697835964655 0.965815108201767 71 0.028504911993586 0.057009823987172 0.971495088006414 72 0.0232350461689517 0.0464700923379033 0.976764953831048 73 0.0240385635400351 0.0480771270800702 0.975961436459965 74 0.0244784638580337 0.0489569277160674 0.975521536141966 75 0.0243164823283988 0.0486329646567975 0.975683517671601 76 0.0208791033050203 0.0417582066100406 0.97912089669498 77 0.0174103178327712 0.0348206356655424 0.982589682167229 78 0.0151662212340809 0.0303324424681618 0.984833778765919 79 0.0139705091298166 0.0279410182596332 0.986029490870183 80 0.0137443816313166 0.0274887632626332 0.986255618368683 81 0.0121918092570253 0.0243836185140505 0.987808190742975 82 0.0113311465834904 0.0226622931669808 0.98866885341651 83 0.0110051799376245 0.022010359875249 0.988994820062375 84 0.0113476786014201 0.0226953572028402 0.98865232139858 85 0.016804698354911 0.0336093967098219 0.983195301645089 86 0.0252863380202924 0.0505726760405847 0.974713661979708 87 0.0318526352816393 0.0637052705632786 0.968147364718361 88 0.0389811561070884 0.0779623122141768 0.961018843892912 89 0.0440121034000902 0.0880242068001805 0.95598789659991 90 0.0525123197275509 0.105024639455102 0.947487680272449 91 0.0666149926566938 0.133229985313388 0.933385007343306 92 0.0724900183045393 0.144980036609079 0.927509981695461 93 0.0795906608761884 0.159181321752377 0.920409339123812 94 0.100014331823991 0.200028663647982 0.899985668176009 95 0.125202883827727 0.250405767655455 0.874797116172273 96 0.145819529330881 0.291639058661763 0.854180470669119 97 0.195838016334499 0.391676032668998 0.804161983665501 98 0.246028706581666 0.492057413163331 0.753971293418334 99 0.273208077131506 0.546416154263012 0.726791922868494 100 0.313667263526253 0.627334527052506 0.686332736473747 101 0.351304509872733 0.702609019745466 0.648695490127267 102 0.368649245304415 0.737298490608831 0.631350754695585 103 0.385101189557052 0.770202379114103 0.614898810442948 104 0.3912317012386 0.782463402477199 0.6087682987614 105 0.390197664862498 0.780395329724996 0.609802335137502 106 0.395174894364416 0.790349788728831 0.604825105635584 107 0.390143078505893 0.780286157011787 0.609856921494107 108 0.374189126430158 0.748378252860317 0.625810873569842 109 0.394462986198758 0.788925972397516 0.605537013801242 110 0.670591723537528 0.658816552924944 0.329408276462472 111 0.789063465629513 0.421873068740974 0.210936534370487 112 0.816510576232881 0.366978847534239 0.183489423767119 113 0.816622423792559 0.366755152414881 0.18337757620744 114 0.811045516817287 0.377908966365426 0.188954483182713 115 0.793715974716771 0.412568050566458 0.206284025283229 116 0.769666798947922 0.460666402104156 0.230333201052078 117 0.744395432725715 0.51120913454857 0.255604567274285 118 0.716845142554156 0.566309714891688 0.283154857445844 119 0.689151135881993 0.621697728236014 0.310848864118007 120 0.663753955489219 0.672492089021561 0.336246044510781 121 0.639966380106171 0.720067239787658 0.360033619893829 122 0.609025181874298 0.781949636251405 0.390974818125702 123 0.577899114034134 0.844201771931732 0.422100885965866 124 0.54542411608885 0.9091517678223 0.45457588391115 125 0.515804091141923 0.968391817716153 0.484195908858077 126 0.485680509633196 0.971361019266392 0.514319490366804 127 0.462217579611333 0.924435159222666 0.537782420388667 128 0.449775766975039 0.899551533950077 0.550224233024961 129 0.426761064369951 0.853522128739902 0.573238935630049 130 0.400234008483324 0.800468016966648 0.599765991516676 131 0.380075365464697 0.760150730929394 0.619924634535303 132 0.358826166374185 0.71765233274837 0.641173833625815 133 0.33446762674984 0.66893525349968 0.66553237325016 134 0.314348283624093 0.628696567248185 0.685651716375907 135 0.293786794312237 0.587573588624474 0.706213205687763 136 0.27125927286395 0.542518545727899 0.72874072713605 137 0.250922024076841 0.501844048153682 0.749077975923159 138 0.231443355492409 0.462886710984819 0.768556644507591 139 0.214571261480136 0.429142522960272 0.785428738519864 140 0.201657055831682 0.403314111663364 0.798342944168318 141 0.188358778324419 0.376717556648838 0.811641221675581 142 0.174139264406649 0.348278528813299 0.825860735593351 143 0.157159682896061 0.314319365792121 0.842840317103939 144 0.141619713631844 0.283239427263687 0.858380286368156 145 0.130244344555002 0.260488689110005 0.869755655444998 146 0.12523006215046 0.25046012430092 0.87476993784954 147 0.122038251662836 0.244076503325672 0.877961748337164 148 0.109424252747481 0.218848505494963 0.890575747252519 149 0.101383964649309 0.202767929298618 0.898616035350691 150 0.0916959192427708 0.183391838485542 0.908304080757229 151 0.0836542062774673 0.167308412554935 0.916345793722533 152 0.0762731312415375 0.152546262483075 0.923726868758462 153 0.0696867420684603 0.139373484136921 0.93031325793154 154 0.0628884425156098 0.12577688503122 0.93711155748439 155 0.0550031250156443 0.110006250031289 0.944996874984356 156 0.048800700086042 0.097601400172084 0.951199299913958 157 0.044854426720758 0.0897088534415161 0.955145573279242 158 0.0413630911855414 0.0827261823710828 0.958636908814459 159 0.0355018202963291 0.0710036405926581 0.964498179703671 160 0.0301377731790163 0.0602755463580326 0.969862226820984 161 0.0256539729673637 0.0513079459347274 0.974346027032636 162 0.0225448529104793 0.0450897058209586 0.977455147089521 163 0.0208703183292356 0.0417406366584711 0.979129681670764 164 0.0197238949389946 0.0394477898779892 0.980276105061005 165 0.0168355308485651 0.0336710616971301 0.983164469151435 166 0.0144766091422555 0.0289532182845109 0.985523390857745 167 0.01249394265256 0.0249878853051201 0.98750605734744 168 0.0109469714363193 0.0218939428726385 0.989053028563681 169 0.0100337871953566 0.0200675743907133 0.989966212804643 170 0.00896606145326911 0.0179321229065382 0.991033938546731 171 0.00746355269636119 0.0149271053927224 0.992536447303639 172 0.00605777983692479 0.0121155596738496 0.993942220163075 173 0.00488832263803041 0.00977664527606082 0.99511167736197 174 0.00395508134045278 0.00791016268090557 0.996044918659547 175 0.00346748884816421 0.00693497769632843 0.996532511151836 176 0.00333313808558402 0.00666627617116804 0.996666861914416 177 0.00311065004494672 0.00622130008989345 0.996889349955053 178 0.0028683268965592 0.00573665379311839 0.997131673103441 179 0.00250922715413018 0.00501845430826037 0.99749077284587 180 0.00216815829393352 0.00433631658786704 0.997831841706066 181 0.00191211687421628 0.00382423374843257 0.998087883125784 182 0.00159115481276628 0.00318230962553257 0.998408845187234 183 0.00131825549681728 0.00263651099363457 0.998681744503183 184 0.00113817409512474 0.00227634819024948 0.998861825904875 185 0.000968292253109272 0.00193658450621854 0.999031707746891 186 0.000836354386402541 0.00167270877280508 0.999163645613597 187 0.000813304355133529 0.00162660871026706 0.999186695644867 188 0.000878095263653625 0.00175619052730725 0.999121904736346 189 0.000948325309512626 0.00189665061902525 0.999051674690487 190 0.00101187350611417 0.00202374701222834 0.998988126493886 191 0.00105152366956467 0.00210304733912933 0.998948476330435 192 0.00105270247140199 0.00210540494280397 0.998947297528598 193 0.00115614567307173 0.00231229134614347 0.998843854326928 194 0.00110961918689189 0.00221923837378378 0.998890380813108 195 0.00104271784931478 0.00208543569862956 0.998957282150685 196 0.00101955680078003 0.00203911360156006 0.99898044319922 197 0.000968152370517191 0.00193630474103438 0.999031847629483 198 0.000950850092803911 0.00190170018560782 0.999049149907196 199 0.00108600116809164 0.00217200233618328 0.998913998831908 200 0.00175994581650774 0.00351989163301549 0.998240054183492 201 0.00278694456230578 0.00557388912461155 0.997213055437694 202 0.00497892989256177 0.00995785978512354 0.995021070107438 203 0.00757545516008774 0.0151509103201755 0.992424544839912 204 0.0102496945997549 0.0204993891995097 0.989750305400245 205 0.0148024301730785 0.029604860346157 0.985197569826922 206 0.0240363731447211 0.0480727462894422 0.975963626855279 207 0.0988510744684024 0.197702148936805 0.901148925531598 208 0.302874550545817 0.605749101091633 0.697125449454183 209 0.619705441334555 0.760589117330891 0.380294558665445 210 0.883367244292882 0.233265511414236 0.116632755707118 211 0.897425580517958 0.205148838964084 0.102574419482042 212 0.947857280608517 0.104285438782965 0.0521427193914825 213 0.954053037092752 0.0918939258144965 0.0459469629072482 214 0.95871649748139 0.0825670050372208 0.0412835025186104 215 0.971275459222755 0.0574490815544892 0.0287245407772446 216 0.98076234544848 0.03847530910304 0.01923765455152 217 0.988424743503602 0.0231505129927968 0.0115752564963984 218 0.990544530690292 0.018910938619415 0.00945546930970751 219 0.990939802810719 0.0181203943785614 0.00906019718928068 220 0.990404838410337 0.0191903231793265 0.00959516158966324 221 0.98937006369201 0.0212598726159801 0.0106299363079901 222 0.988363600521748 0.0232727989565045 0.0116363994782522 223 0.986350068861797 0.0272998622764052 0.0136499311382026 224 0.98494174792632 0.0301165041473592 0.0150582520736796 225 0.98347179860217 0.0330564027956594 0.0165282013978297 226 0.981092695723415 0.037814608553171 0.0189073042765855 227 0.979200249147319 0.0415995017053614 0.0207997508526807 228 0.976750014376444 0.046499971247112 0.023249985623556 229 0.972015049709198 0.0559699005816038 0.0279849502908019 230 0.966586520555762 0.0668269588884762 0.0334134794442381 231 0.960013330812418 0.0799733383751645 0.0399866691875822 232 0.952533120769879 0.0949337584602426 0.0474668792301213 233 0.946019807059367 0.107960385881267 0.0539801929406333 234 0.939241406618209 0.121517186763581 0.0607585933817906 235 0.945836836649567 0.108326326700866 0.0541631633504332 236 0.977880623469555 0.0442387530608892 0.0221193765304446 237 0.993877487380069 0.0122450252398621 0.00612251261993105 238 0.998593921553119 0.00281215689376176 0.00140607844688088 239 0.999701348884668 0.00059730223066454 0.00029865111533227 240 0.999844605185684 0.000310789628631685 0.000155394814315842 241 0.999912208668866 0.000175582662268895 8.77913311344474e-05 242 0.999992464872167 1.50702556656618e-05 7.53512783283088e-06 243 0.999999999531196 9.37607838870603e-10 4.68803919435301e-10 244 0.99999999997801 4.39805552476645e-11 2.19902776238323e-11 245 0.999999999999943 1.13684835058994e-13 5.68424175294968e-14 246 0.999999999999993 1.47677906970997e-14 7.38389534854983e-15 247 0.999999999999994 1.19572973844416e-14 5.9786486922208e-15 248 0.999999999999999 2.19501906389276e-15 1.09750953194638e-15 249 1 1.32437418951111e-16 6.62187094755557e-17 250 1 2.62549238396805e-17 1.31274619198403e-17 251 1 7.32754877220675e-19 3.66377438610338e-19 252 1 2.20300697494258e-19 1.10150348747129e-19 253 1 3.83885046254578e-19 1.91942523127289e-19 254 1 8.83476074526379e-19 4.4173803726319e-19 255 1 6.41216364957502e-19 3.20608182478751e-19 256 1 1.19270329049175e-18 5.96351645245876e-19 257 1 1.61550449153554e-18 8.07752245767772e-19 258 1 3.20520731174029e-18 1.60260365587014e-18 259 1 7.78892112711213e-18 3.89446056355606e-18 260 1 1.88620057270513e-17 9.43100286352566e-18 261 1 4.57854552489252e-17 2.28927276244626e-17 262 1 9.85152220066092e-17 4.92576110033046e-17 263 1 2.28484565175511e-16 1.14242282587755e-16 264 1 5.18433824197115e-16 2.59216912098557e-16 265 1 8.88547902787205e-16 4.44273951393602e-16 266 0.999999999999999 1.6923758539608e-15 8.46187926980398e-16 267 0.999999999999998 3.59254432960325e-15 1.79627216480162e-15 268 0.999999999999997 6.50458148700465e-15 3.25229074350233e-15 269 0.999999999999993 1.34349898572039e-14 6.71749492860197e-15 270 0.999999999999991 1.86503128829199e-14 9.32515644145995e-15 271 0.999999999999986 2.82210421884514e-14 1.41105210942257e-14 272 0.999999999999977 4.63235322684299e-14 2.31617661342149e-14 273 0.999999999999956 8.8846604121098e-14 4.4423302060549e-14 274 0.999999999999906 1.87943503179471e-13 9.39717515897356e-14 275 0.999999999999834 3.31017741508635e-13 1.65508870754318e-13 276 0.999999999999874 2.5203363618991e-13 1.26016818094955e-13 277 0.999999999999713 5.73177032401101e-13 2.86588516200551e-13 278 0.999999999999819 3.61300516038115e-13 1.80650258019058e-13 279 0.999999999999837 3.26906092255713e-13 1.63453046127856e-13 280 0.999999999999812 3.7564266202487e-13 1.87821331012435e-13 281 0.999999999999722 5.55811924938147e-13 2.77905962469073e-13 282 0.999999999999499 1.0023650136179e-12 5.01182506808949e-13 283 0.99999999999901 1.97950507555792e-12 9.89752537778961e-13 284 0.999999999998426 3.14742285627988e-12 1.57371142813994e-12 285 0.999999999996785 6.42928936980998e-12 3.21464468490499e-12 286 0.999999999993632 1.27353581539909e-11 6.36767907699547e-12 287 0.999999999988079 2.38428682317102e-11 1.19214341158551e-11 288 0.999999999981131 3.77382521826102e-11 1.88691260913051e-11 289 0.999999999970998 5.80036691944289e-11 2.90018345972145e-11 290 0.999999999982094 3.58114680647188e-11 1.79057340323594e-11 291 0.999999999987797 2.44064897018995e-11 1.22032448509497e-11 292 0.999999999974463 5.10734474365914e-11 2.55367237182957e-11 293 0.999999999940232 1.19536556940989e-10 5.97682784704946e-11 294 0.999999999924276 1.51448886995367e-10 7.57244434976834e-11 295 0.999999999844007 3.11986924425287e-10 1.55993462212643e-10 296 0.999999999640683 7.1863388914932e-10 3.5931694457466e-10 297 0.999999999180828 1.63834316251362e-09 8.19171581256809e-10 298 0.999999998430817 3.13836546500973e-09 1.56918273250487e-09 299 0.99999999752321 4.95357945114223e-09 2.47678972557112e-09 300 0.999999995560023 8.87995492534815e-09 4.43997746267407e-09 301 0.999999990454474 1.90910512724552e-08 9.54552563622758e-09 302 0.999999984760476 3.04790483686352e-08 1.52395241843176e-08 303 0.99999996715152 6.56969603854883e-08 3.28484801927442e-08 304 0.999999929088379 1.41823242139716e-07 7.09116210698582e-08 305 0.999999856316585 2.87366830463238e-07 1.43683415231619e-07 306 0.999999701632511 5.96734977837387e-07 2.98367488918693e-07 307 0.999999445126891 1.10974621868613e-06 5.54873109343063e-07 308 0.999998870594587 2.25881082524872e-06 1.12940541262436e-06 309 0.999997702328767 4.59534246601766e-06 2.29767123300883e-06 310 0.999995386241098 9.2275178033093e-06 4.61375890165465e-06 311 0.999991633127803 1.67337443944297e-05 8.36687219721483e-06 312 0.9999864857654 2.70284691993256e-05 1.35142345996628e-05 313 0.999982879640643 3.42407187135132e-05 1.71203593567566e-05 314 0.999980004708498 3.99905830031281e-05 1.99952915015641e-05 315 0.999973866892008 5.22662159848697e-05 2.61331079924348e-05 316 0.999964201926092 7.15961478165228e-05 3.57980739082614e-05 317 0.999933901446877 0.000132197106246204 6.6098553123102e-05 318 0.999895780336128 0.000208439327743919 0.000104219663871959 319 0.999813502501912 0.000372994996175545 0.000186497498087772 320 0.999652666390409 0.000694667219182567 0.000347333609591284 321 0.99937247938726 0.00125504122548068 0.00062752061274034 322 0.998861312672313 0.0022773746553743 0.00113868732768715 323 0.998059043263299 0.00388191347340237 0.00194095673670118 324 0.997981658234635 0.00403668353073079 0.0020183417653654 325 0.99685188155281 0.0062962368943809 0.00314811844719045 326 0.996084242946494 0.00783151410701222 0.00391575705350611 327 0.995656497445514 0.00868700510897183 0.00434350255448591 328 0.993493180668515 0.0130136386629707 0.00650681933148534 329 0.988872283072729 0.0222554338545429 0.0111277169272715 330 0.986549427079218 0.0269011458415646 0.0134505729207823 331 0.977369578261893 0.0452608434762139 0.022630421738107 332 0.965448580534468 0.069102838931064 0.034551419465532 333 0.957730784830822 0.0845384303383557 0.0422692151691779 334 0.950952075479392 0.098095849041217 0.0490479245206085 335 0.958749127375562 0.082501745248877 0.0412508726244385 336 0.984777297007493 0.0304454059850136 0.0152227029925068 337 0.992885262947417 0.0142294741051663 0.00711473705258316 338 0.997658882665837 0.00468223466832507 0.00234111733416253 339 0.998711372164136 0.00257725567172714 0.00128862783586357 340 0.998395645686749 0.00320870862650194 0.00160435431325097 341 0.999566928197041 0.00086614360591777 0.000433071802958885 342 0.99761415247143 0.00477169505714048 0.00238584752857024 343 0.990793655862247 0.0184126882755053 0.00920634413775267

 Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity Description # significant tests % significant tests OK/NOK 1% type I error level 125 0.382262996941896 NOK 5% type I error level 176 0.53822629969419 NOK 10% type I error level 201 0.614678899082569 NOK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 125 & 0.382262996941896 & NOK \tabularnewline
5% type I error level & 176 & 0.53822629969419 & NOK \tabularnewline
10% type I error level & 201 & 0.614678899082569 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=185605&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]125[/C][C]0.382262996941896[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]176[/C][C]0.53822629969419[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]201[/C][C]0.614678899082569[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=185605&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=185605&T=6

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

 Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity Description # significant tests % significant tests OK/NOK 1% type I error level 125 0.382262996941896 NOK 5% type I error level 176 0.53822629969419 NOK 10% type I error level 201 0.614678899082569 NOK

library(lattice)library(lmtest)n25 <- 25 #minimum number of obs. for Goldfeld-Quandt testpar1 <- as.numeric(par1)x <- t(y)k <- length(x[1,])n <- length(x[,1])x1 <- cbind(x[,par1], x[,1:k!=par1])mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])colnames(x1) <- mycolnames #colnames(x)[par1]x <- x1if (par3 == 'First Differences'){x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))for (i in 1:n-1) {for (j in 1:k) {x2[i,j] <- x[i+1,j] - x[i,j]}}x <- x2}if (par2 == 'Include Monthly Dummies'){x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))for (i in 1:11){x2[seq(i,n,12),i] <- 1}x <- cbind(x, x2)}if (par2 == 'Include Quarterly Dummies'){x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))for (i in 1:3){x2[seq(i,n,4),i] <- 1}x <- cbind(x, x2)}k <- length(x[1,])if (par3 == 'Linear Trend'){x <- cbind(x, c(1:n))colnames(x)[k+1] <- 't'}xk <- length(x[1,])df <- as.data.frame(x)(mylm <- lm(df))(mysum <- summary(mylm))if (n > n25) {kp3 <- k + 3nmkm3 <- n - k - 3gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))numgqtests <- 0numsignificant1 <- 0numsignificant5 <- 0numsignificant10 <- 0for (mypoint in kp3:nmkm3) {j <- 0numgqtests <- numgqtests + 1for (myalt in c('greater', 'two.sided', 'less')) {j <- j + 1gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value}if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1}gqarr}bitmap(file='test0.png')plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')points(x[,1]-mysum$resid)grid()dev.off()bitmap(file='test1.png')plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')grid()dev.off()bitmap(file='test2.png')hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')grid()dev.off()bitmap(file='test3.png')densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')dev.off()bitmap(file='test4.png')qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')qqline(mysum$resid)grid()dev.off()(myerror <- as.ts(mysum$resid))bitmap(file='test5.png')dum <- cbind(lag(myerror,k=1),myerror)dumdum1 <- dum[2:length(myerror),]dum1z <- as.data.frame(dum1)zplot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')lines(lowess(z))abline(lm(z))grid()dev.off()bitmap(file='test6.png')acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')grid()dev.off()bitmap(file='test7.png')pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')grid()dev.off()bitmap(file='test8.png')opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))plot(mylm, las = 1, sub='Residual Diagnostics')par(opar)dev.off()if (n > n25) {bitmap(file='test9.png')plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')grid()dev.off()}load(file='createtable')a<-table.start()a<-table.row.start(a)a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)a<-table.row.end(a)myeq <- colnames(x)[1]myeq <- paste(myeq, '[t] = ', sep='')for (i in 1:k){if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')myeq <- paste(myeq, mysum$coefficients[i,1], sep=' ')if (rownames(mysum$coefficients)[i] != '(Intercept)') {myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')}}myeq <- paste(myeq, ' + e[t]')a<-table.row.start(a)a<-table.element(a, myeq)a<-table.row.end(a)a<-table.end(a)table.save(a,file='mytable1.tab')a<-table.start()a<-table.row.start(a)a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'Variable',header=TRUE)a<-table.element(a,'Parameter',header=TRUE)a<-table.element(a,'S.D.',header=TRUE)a<-table.element(a,'T-STATH0: parameter = 0',header=TRUE)a<-table.element(a,'2-tail p-value',header=TRUE)a<-table.element(a,'1-tail p-value',header=TRUE)a<-table.row.end(a)for (i in 1:k){a<-table.row.start(a)a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)a<-table.element(a,mysum$coefficients[i,1])a<-table.element(a, round(mysum$coefficients[i,2],6))a<-table.element(a, round(mysum$coefficients[i,3],4))a<-table.element(a, round(mysum$coefficients[i,4],6))a<-table.element(a, round(mysum$coefficients[i,4]/2,6))a<-table.row.end(a)}a<-table.end(a)table.save(a,file='mytable2.tab')a<-table.start()a<-table.row.start(a)a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a, 'Multiple R',1,TRUE)a<-table.element(a, sqrt(mysum$r.squared))a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a, 'R-squared',1,TRUE)a<-table.element(a, mysum$r.squared)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a, 'Adjusted R-squared',1,TRUE)a<-table.element(a, mysum$adj.r.squared)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a, 'F-TEST (value)',1,TRUE)a<-table.element(a, mysum$fstatistic[1])a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)a<-table.element(a, mysum$fstatistic[2])a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)a<-table.element(a, mysum$fstatistic[3])a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a, 'p-value',1,TRUE)a<-table.element(a, 1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]))a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a, 'Residual Standard Deviation',1,TRUE)a<-table.element(a, mysum$sigma)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a, 'Sum Squared Residuals',1,TRUE)a<-table.element(a, sum(myerror*myerror))a<-table.row.end(a)a<-table.end(a)table.save(a,file='mytable3.tab')a<-table.start()a<-table.row.start(a)a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a, 'Time or Index', 1, TRUE)a<-table.element(a, 'Actuals', 1, TRUE)a<-table.element(a, 'InterpolationForecast', 1, TRUE)a<-table.element(a, 'ResidualsPrediction Error', 1, TRUE)a<-table.row.end(a)for (i in 1:n) {a<-table.row.start(a)a<-table.element(a,i, 1, TRUE)a<-table.element(a,x[i])a<-table.element(a,x[i]-mysum$resid[i])a<-table.element(a,mysum\$resid[i])a<-table.row.end(a)}a<-table.end(a)table.save(a,file='mytable4.tab')if (n > n25) {a<-table.start()a<-table.row.start(a)a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'p-values',header=TRUE)a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'breakpoint index',header=TRUE)a<-table.element(a,'greater',header=TRUE)a<-table.element(a,'2-sided',header=TRUE)a<-table.element(a,'less',header=TRUE)a<-table.row.end(a)for (mypoint in kp3:nmkm3) {a<-table.row.start(a)a<-table.element(a,mypoint,header=TRUE)a<-table.element(a,gqarr[mypoint-kp3+1,1])a<-table.element(a,gqarr[mypoint-kp3+1,2])a<-table.element(a,gqarr[mypoint-kp3+1,3])a<-table.row.end(a)}a<-table.end(a)table.save(a,file='mytable5.tab')a<-table.start()a<-table.row.start(a)a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'Description',header=TRUE)a<-table.element(a,'# significant tests',header=TRUE)a<-table.element(a,'% significant tests',header=TRUE)a<-table.element(a,'OK/NOK',header=TRUE)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'1% type I error level',header=TRUE)a<-table.element(a,numsignificant1)a<-table.element(a,numsignificant1/numgqtests)if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'a<-table.element(a,dum)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'5% type I error level',header=TRUE)a<-table.element(a,numsignificant5)a<-table.element(a,numsignificant5/numgqtests)if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'a<-table.element(a,dum)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'10% type I error level',header=TRUE)a<-table.element(a,numsignificant10)a<-table.element(a,numsignificant10/numgqtests)if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'a<-table.element(a,dum)a<-table.row.end(a)a<-table.end(a)table.save(a,file='mytable6.tab')}