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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
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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)
-     [Multiple Regression] [Colombia Coffee -...] [2008-02-26 11:21:57] [74be16979710d4c4e7c6647856088456]
- RMPD    [Multiple Regression] [deel 2 workshop 6...] [2012-11-02 12:06:37] [7a9100b3135ff0dae36397155af309d9] [Current]
- R P       [Multiple Regression] [WS 7 tutorial vra...] [2012-11-04 09:36:43] [e01c78beec4051e03ee053d8bc2c6384]
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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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time19 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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time19 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
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)127.3993644996049.4206813.523400
Colombia1.899277696763340.08726621.764200
M12.720587383502348.0163570.33940.734530.367265
M25.083283228121798.0158260.63420.5263980.263199
M31.292828042421878.0170560.16130.8719830.435991
M43.571392805392338.0165880.44550.6562370.328118
M54.588715460006188.0162160.57240.5674030.283702
M66.982317552144348.0148330.87120.3842630.192131
M715.78987230458938.0175491.96940.0497030.024852
M817.12393973861488.0165672.13610.0333750.016688
M913.28502322608278.0162011.65730.0983710.049185
M1010.20144472885558.0159531.27260.2039990.102
M112.636364614083528.0142820.3290.7423860.371193
t0.1481734671033750.0157689.397200

\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
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)127.3993644996049.4206813.523400
Colombia1.899277696763340.08726621.764200
M12.720587383502348.0163570.33940.734530.367265
M25.083283228121798.0158260.63420.5263980.263199
M31.292828042421878.0170560.16130.8719830.435991
M43.571392805392338.0165880.44550.6562370.328118
M54.588715460006188.0162160.57240.5674030.283702
M66.982317552144348.0148330.87120.3842630.192131
M715.78987230458938.0175491.96940.0497030.024852
M817.12393973861488.0165672.13610.0333750.016688
M913.28502322608278.0162011.65730.0983710.049185
M1010.20144472885558.0159531.27260.2039990.102
M112.636364614083528.0142820.3290.7423860.371193
t0.1481734671033750.0157689.397200







Multiple Linear Regression - Regression Statistics
Multiple R0.7832915252984
R-squared0.613545613604294
Adjusted R-squared0.599025651109657
F-TEST (value)42.2553166945807
F-TEST (DF numerator)13
F-TEST (DF denominator)346
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation31.039006205138
Sum Squared Residuals333343.287546098

\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]Adjusted R-squared[/C][C]0.599025651109657[/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 R0.7832915252984
R-squared0.613545613604294
Adjusted R-squared0.599025651109657
F-TEST (value)42.2553166945807
F-TEST (DF numerator)13
F-TEST (DF denominator)346
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation31.039006205138
Sum Squared Residuals333343.287546098







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1255296.037082723714-41.0370827237142
2280.2298.547952035437-18.3479520354373
3299.9294.5448075544565.35519244554446
4339.2296.6486685760842.5513314239204
5374.2299.08668075462875.1133192453717
6393.5307.57319550473985.926804495261
7389.2316.47194539338472.7280546066155
8381.7317.21346799277664.4865320072243
9375.2312.09826667477463.1017333252256
10369308.00430224962560.9956977503751
11357.4299.58077842267257.8192215773282
12352.1295.97201343460156.1279865653988
13346.5297.41631601263449.0836839873655
14342.9299.45236590016643.4476340998336
15340.3295.01238754892945.2876124510707
16328.3296.71740025423331.5825997457669
17322.9297.19915640511625.7008435948845
18314.3299.09517754745715.2048224525425
19308.9307.4431369040421.45686309595839
20294308.298616165239-14.2986161652385
21285.6303.221400401173-17.6214004011725
22281.2298.177797127641-16.9777971276414
23280.3289.089526106821-8.78952610682109
24278.8285.157883910301-6.35788391030077
25274.5286.678157596205-12.1781575962045
26270.4286.112197039171-15.7121970391708
27263.4264.635697747966-1.23569774796644
28259.9265.732941590306-5.83294159030592
29258269.348505940848-11.3485059408478
30262.7279.278471740499-16.5784717404988
31284.7291.747863699059-7.04786369905934
32311.3297.00966721674714.2903327832528
33322.1300.49819386508421.6018061349161
34327300.41170538010526.5882946198949
35331.3295.40688140732635.893118592674
36333.3294.36214130988638.937858690114
37321.4297.51579381500623.8842061849938
38327298.14637820693328.8536217930667
39320293.30755153937626.6924484606241
40314.7301.07126009735513.6287399026453
41316.7300.07157964476216.6284203552383
42314.4300.33422196788714.0657780321128
43321.3307.88448469183113.4155153081693
44318.2307.69536121980810.5046387801922
45307.2302.2952682472924.90473175270792
46301.3297.2516649737614.04833502623907
47287.5287.68857452875-0.18857452874978
48277.7290.499368155739-12.7993681557393
49274.4292.532446819769-18.1324468197692
50258.8293.163031211696-34.3630312116963
51253.3287.963341781754-34.6633417817538
52251289.022600070158-38.022600070158
53248.4288.7066595884-40.3066595883998
54249.5289.425128558749-39.9251285587486
55246.1296.576542966372-50.4765429663718
56244.5296.14051339377-51.6405133937697
57243.6290.588478205513-46.9884782055129
58244294.851335646122-50.8513356461221
59240.8292.049673801588-51.2496738015884
60249.8288.061053274165-38.2610532741652
61248288.726651996525-40.7266519965255
62259.4289.395221942388-29.9952219423879
63260.5292.134513284916-31.6345132849161
64260.8294.447294853184-33.6472948531842
65261.3293.6185493933-32.3185493932999
66259.5294.033133932166-34.5331339321665
67256.6301.279512224628-44.6795122246278
68257.9300.653554882349-42.7535548823494
69256.5295.196483578931-38.6964835789308
70254.2303.580773621516-49.3807736215165
71253.3293.011065997221-39.7110659972207
72253.8287.484030535419-33.6840305354192
73255.5287.978694265071-32.4786942650707
74257.1288.096473678872-30.9964736788717
75257.3281.681246523001-24.3812465230007
76253.2287.317764060605-34.1177640606046
77252.8287.818512988455-35.0185129884547
78252287.720292549195-35.7202925491952
79250.7294.093003101145-43.3930031011454
80252.2292.726327457129-40.5263274571292
81250293.973706423285-43.9737064232851
82251292.025925795478-41.0259257954783
83253.4283.906286400007-30.5062864000073
84251.2278.645149815753-27.4451498157526
85255.6280.887149026426-25.2871490264264
86261.1280.682051231778-19.5820512317776
87258.9275.254448478224-16.3544484782236
88259.9277.624208377394-17.7242083773945
89261.2278.143950082212-16.9439500822122
90264.7279.451195138558-14.7511951385576
91267.1285.387071820252-18.2870718202522
92266.4289.699236489558-23.2992364895585
93267.7287.034103400382-19.3341034003819
94268.6281.401724040854-12.8017240408541
95267.5272.541366343645-5.04136634364542
96268.5271.515619023173-3.01561902317303
97268.5271.64941999044-3.14941999043953
98270.5270.855546109794-0.355546109794128
99270.9269.9292314975690.970768502430795
100270.1266.2972738749683.80272612503207
101269.3262.1637852227157.13621477728458
102269.8267.8963473125191.90365268748061
103270.1273.015534584606-2.91553458460578
104264.9271.306988955172-6.40698895517226
105263.7271.072931317853-7.37293131785279
106264.8264.5858769947820.214123005218484
107263.7263.3986011924970.301398807503304
108255.9260.872424491581-4.97242449158128
109276.2274.3581476670941.84185233290592
110360.1295.1400684216864.9599315783198
111380.5319.3791832915761.1208167084304
112373.7324.4839030740849.2160969259202
113369.8327.5486768925642.2513231074397
114366.6328.11520364716838.4847963528321
115359.3334.03208755189525.267912448105
116345.8332.57044802304113.2295519769594
117326.2325.4610051234380.738994876562105
118324.5320.2844524111334.21554758886665
119328.1314.86178734506613.2382126549338
120327.5308.9738891208818.5261108791203
121324.4308.82279843363215.5772015663683
122316.5308.6366934159517.86330658404939
123310.9302.0885168213068.81148317869384
124301.5301.761302391073-0.261302391073126
125291.7300.172845852483-8.4728458524835
126290.4300.2645531829-9.86455318290035
127287.4306.732227619689-19.3322276196887
128277.7306.011306392572-28.3113063925721
129281.6300.345314542509-18.7453145425094
130288300.239833280563-12.239833280563
131276295.956734832554-19.9567348325539
132272.9291.588258765778-18.6882587657781
133283294.684932939995-11.6849329399954
134283.3300.842415429504-17.5424154295038
135276.8293.97136162641-17.1713616264096
136284.5297.955507567829-13.4555075678294
137282.7297.867480409683-15.1674804096828
138281.2297.256454992297-16.0564549922972
139287.4303.401252220636-16.0012522206359
140283.1302.148533238425-19.0485332384254
141284295.646859201787-11.646859201787
142285.5295.313464616229-9.81346461622891
143289.2296.120430395546-6.92043039554563
144292.5290.9162721421941.58372785780613
145296.4293.9179824315732.48201756842694
146305.2290.67404032210314.525959677897
147303.9285.34140145338718.558598546613
148311.5300.03747360455211.462526395448
149316.3297.99319041873918.3068095812608
150316.7302.09237368932714.6076263106733
151322.5310.0414847295912.4585152704095
152317.1308.6748090855748.42519091442573
153309.8302.0401856101627.75981438983763
154303.8298.4020478322365.39795216776386
155290.3291.953772809917-1.65377280991684
156293.7286.3697590172127.33024098278753
157291.7285.9147838984825.78521610151767
158296.5285.00695335603111.4930466439689
159289.1285.1252414770263.97475852297404
160288.5291.730390639979-3.23039063997919
161293.8289.6861074541664.11389254583365
162297.7289.1700459216198.52995407838108
163305.4295.2958503729910.1041496270101
164302.7293.9291747289748.77082527102625
165302.5302.1848883961860.315111603813593
166303297.6920756547175.30792434528332
167294.5287.5971874546126.90281254538823
168294.1282.27907253945411.8209274605458
169294.5282.71675793820311.7832420617971
170297.1283.04345789864814.0565421013522
171289.4281.7562805240387.64371947596214
172292.4291.1343751242651.26562487573447
173287.9290.096709117737-2.19670911773728
174286.6290.435322548733-3.8353225487333
175280.5297.282852524874-16.7828525248744
176272.4296.54293852079-24.1429385207901
177269.2290.003278930216-20.8032789302164
178270.6290.429595423364-19.8295954233636
179267.3281.854129380669-14.5541293806694
180262.5276.9538555588-14.4538555587998
181266.8279.822616409406-13.0226164094055
182268.8275.192201581298-6.39220158129818
183263.1268.017263346722-4.9172633467218
184261.2269.190478296932-7.99047829693187
185266269.121443915753-3.12144391575291
186262.5270.409696195131-7.90969619513064
187265.2272.148169166978-6.94816916697831
188261.3267.26782978395-5.96782978394994
189253.7262.513491228334-8.81349122833374
190249.2258.514490688022-9.31449068802246
191239.1250.071974084102-10.9719740841017
192236.4246.520187426934-10.120187426934
193235.2248.439309429158-13.2393094291581
194245.2250.038525446434-4.83852544643449
195246.2245.5035832103590.696416789640826
196247.7252.887436228985-5.18743622898535
197251.4254.679693990634-3.27969399063444
198253.3255.891975162142-2.59197516214164
199254.8263.898064533308-9.09806453330834
200250277.364747701014-27.3647477010139
201249.3272.629401922365-23.3294019223653
202241.5268.649394159022-27.1493941590217
203243.3260.700689756259-17.4006897562593
204248256.712069228836-8.71206922883615
205253258.688169561963-5.68816956196309
206252.9274.209091096515-21.3090910965148
207251.5307.887616119318-56.387616119318
208251.6308.092199444179-56.4921994441787
209253.5307.662302300615-54.1623023006147
210259.8312.027384448749-52.2273844487491
211334.1318.5520372164415.5479627835597
212448357.26012097413190.7398790258693
213445.8380.53912122274165.2608787772586
214445382.5608309811762.43916901883
215448.2374.63111935537573.5688806446247
216438.2364.39387520560173.8061247943993
217439.8363.52105899358376.2789410064174
218423.4364.32257837821859.0774216217815
219410.8356.72979905035454.0702009496459
220408.4357.67510067695350.7248993230474
221406.7364.59540821986342.1045917801373
222405.9360.71762516404445.1823748359559
223402.7365.95076909793636.7492309020636
224405.1360.48165362891144.6183463710886
225399.6353.99897236924145.6010276307595
226386.5344.89091482463641.6090851753642
227381.4337.70192150057943.6980784994211
228375.2335.0427953608940.15720463911
229357.7325.92711394491931.772886055081
230359333.37610526822725.6238947317735
231355328.87914858608626.1208514139135
232352.7325.72201038767626.9779896123239
233344.4328.31196478196616.0880352180342
234343.8328.65057821296215.1494217870381
235338342.734356213771-4.73435621377126
236339374.206191946793-35.2061919467933
237333.3374.181054856118-40.8810548561178
238334.4376.050822398805-41.6508223988053
239328.3368.709886859007-40.4098868590072
240330.7351.483300785144-20.7833007851435
241330345.216535914318-15.2165359143175
242331.6383.794688687576-52.1946886875762
243351.2463.511705079923-112.311705079923
244389.4447.040630227201-57.6406302272014
245410.9494.757422696588-83.8574226965882
246442.8497.413154917635-54.6131549176355
247462.8431.8412263161930.9587736838097
248466.9420.61729942597246.2827005740276
249461.7407.73405232820953.965947671791
250439.2393.91578609563145.2842139043687
251430.3377.05946929504953.2405307049511
252416.1388.56895477321527.5310452267855
253402.5391.01987453053211.4801254694677
254397.3406.863673273534-9.56367327353384
255403.3374.61826944168128.6817305583187
256395.9380.23579420231815.6642057976824
257387.8359.57858958822428.221410411776
258378.6359.13849916354719.461500836453
259377.1369.9745123028917.12548769710885
260370.4369.1206416370011.27935836299888
261362349.43798038482512.562019615175
262350.3343.3877599320096.9122400679907
263348.2346.2839311777661.91606882223432
264344.6345.84695994329-1.2469599432899
265343.5346.398602003844-2.89860200384436
266342.8343.382573217986-0.582573217985868
267347.6341.9624464046025.63755359539762
268346.6341.5782536434665.02174635653351
269349.5339.6479271194599.85207288054053
270342.1342.303659340507-0.203659340506789
271342339.9206997103782.07930028962199
272342.8336.559782484766.24021751523966
273339.3324.89207311292614.4079268870745
274348.2321.89968975189926.3003102481011
275333.7331.2723979436182.42760205638178
276334.7352.012373028054-17.3123730280538
277354337.31281518359916.6871848164015
278367.7330.15636101879637.543638981204
279363.3328.58429198967134.7157080103286
280358.4323.09104222424235.3089577757578
281353.1322.07236899468231.0276310053185
282343.1314.37703776836928.7229622316314
283344.6322.72499712495321.8750028750473
284344.4316.62912001599627.7708799840042
285333.9311.34298370528622.5570162947141
286331.7310.57275524947221.1272447505277
287324.3305.64390238456418.6560976154364
288321.2300.26880913850320.9311908614967
289322.4296.96491747462825.4350825253719
290321.7287.43436618887134.2656338111287
291320.5284.19093278659536.3090672134049
292312.8292.69535964631220.1046403536884
293309.7301.2870315623738.4129684376265
294315.6283.58250687411832.0174931258822
295309.7291.79751679192817.9024832080715
296304.6294.45730986505110.1426901349494
297302.5292.47591674670910.0240832532912
298301.5278.41074441355223.0892555864482
299298.8276.67267807920622.1273219207944
300291.3272.41815867423618.8818413257644
301293.6279.33238101894714.2676189810528
302294.6279.05131211642815.5486878835721
303285.9285.2282960900980.671703909902108
304297.6293.4858168492354.11418315076486
305301.1283.36960345217817.7303965478219
306293.8280.99224977680312.8077502231974
307297.7276.82396911171620.8760308882837
308292.9274.81153905080118.0884609491994
309292.1281.43387389879710.6661261012032
310287.2278.4984688686738.70153113132701
311288.2277.46313528212910.7368647178708
312283.8261.43309415722622.3669058427736
313299.9272.31680688817327.5831931118265
314292.4272.20667297836320.1933270216371
315293.3262.44871707618830.8512829238117
316300.8269.81357731784730.9864226821531
317293.7273.84698276167719.8530172383232
318293.1269.8742358210223.22576417898
319294.4286.3890892736868.0109107263135
320292.1282.3064465232999.79355347670128
321291.9279.50836399534912.3916360046512
322282.5274.2748329521418.22516704785867
323277.9268.4343267927869.46567320721369
324287.5268.77605941398318.7239405860165
325289.2283.7622119699395.43778803006062
326285.6286.804879036756-1.20487903675591
327293.2287.7208637903915.47913620960859
328290.8286.2920682960364.50793170396436
329283.1290.458423178639-7.35842317863894
330275303.294283854338-28.2942838543378
331287.8296.239101090171-8.43910109017118
332287.8299.582634134128-11.7826341341281
333287.4308.80697942669-21.4069794266901
334284303.687405045288-19.6874050452885
335277.8311.863568288047-34.0635682880469
336277.6327.665421360898-50.0654213608978
337304.9331.996626038011-27.0966260380113
338294360.489614241457-66.4896142414566
339300.9383.342256392709-82.4422563927087
340324371.619375781896-47.6193757818957
341332.9367.314952136934-34.4149521369344
342341.6356.846675473347-15.246675473347
343333.4347.170489487647-13.770489487647
344348.2348.53877372697-0.338773726970079
345344.7335.8074688449488.89253115505218
346344.7351.428006912202-6.7280069122019
347329.3351.152384404363-21.8523844043634
348323.5348.797142696157-25.2971426961568
349323.2380.743845084209-57.5438450842093
350317.4365.382511269389-47.982511269389
351330.1350.249599485374-20.1495994853742
352329.2354.898492620661-25.6984926206612
353334.9349.47349513461-14.5734951346096
354315.8338.739319593475-22.9393195934754
355315.4350.05015215701-34.6501521570103
356319.6363.174965339298-43.5749653392984
357317.3352.437902038878-35.1379020388777
358313.8346.80552267935-33.0055226793499
359315.8362.521818378259-46.7218183782588
360311.3374.810007712098-63.5100077120975

\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 IndexActualsInterpolationForecastResidualsPrediction Error
1255296.037082723714-41.0370827237142
2280.2298.547952035437-18.3479520354373
3299.9294.5448075544565.35519244554446
4339.2296.6486685760842.5513314239204
5374.2299.08668075462875.1133192453717
6393.5307.57319550473985.926804495261
7389.2316.47194539338472.7280546066155
8381.7317.21346799277664.4865320072243
9375.2312.09826667477463.1017333252256
10369308.00430224962560.9956977503751
11357.4299.58077842267257.8192215773282
12352.1295.97201343460156.1279865653988
13346.5297.41631601263449.0836839873655
14342.9299.45236590016643.4476340998336
15340.3295.01238754892945.2876124510707
16328.3296.71740025423331.5825997457669
17322.9297.19915640511625.7008435948845
18314.3299.09517754745715.2048224525425
19308.9307.4431369040421.45686309595839
20294308.298616165239-14.2986161652385
21285.6303.221400401173-17.6214004011725
22281.2298.177797127641-16.9777971276414
23280.3289.089526106821-8.78952610682109
24278.8285.157883910301-6.35788391030077
25274.5286.678157596205-12.1781575962045
26270.4286.112197039171-15.7121970391708
27263.4264.635697747966-1.23569774796644
28259.9265.732941590306-5.83294159030592
29258269.348505940848-11.3485059408478
30262.7279.278471740499-16.5784717404988
31284.7291.747863699059-7.04786369905934
32311.3297.00966721674714.2903327832528
33322.1300.49819386508421.6018061349161
34327300.41170538010526.5882946198949
35331.3295.40688140732635.893118592674
36333.3294.36214130988638.937858690114
37321.4297.51579381500623.8842061849938
38327298.14637820693328.8536217930667
39320293.30755153937626.6924484606241
40314.7301.07126009735513.6287399026453
41316.7300.07157964476216.6284203552383
42314.4300.33422196788714.0657780321128
43321.3307.88448469183113.4155153081693
44318.2307.69536121980810.5046387801922
45307.2302.2952682472924.90473175270792
46301.3297.2516649737614.04833502623907
47287.5287.68857452875-0.18857452874978
48277.7290.499368155739-12.7993681557393
49274.4292.532446819769-18.1324468197692
50258.8293.163031211696-34.3630312116963
51253.3287.963341781754-34.6633417817538
52251289.022600070158-38.022600070158
53248.4288.7066595884-40.3066595883998
54249.5289.425128558749-39.9251285587486
55246.1296.576542966372-50.4765429663718
56244.5296.14051339377-51.6405133937697
57243.6290.588478205513-46.9884782055129
58244294.851335646122-50.8513356461221
59240.8292.049673801588-51.2496738015884
60249.8288.061053274165-38.2610532741652
61248288.726651996525-40.7266519965255
62259.4289.395221942388-29.9952219423879
63260.5292.134513284916-31.6345132849161
64260.8294.447294853184-33.6472948531842
65261.3293.6185493933-32.3185493932999
66259.5294.033133932166-34.5331339321665
67256.6301.279512224628-44.6795122246278
68257.9300.653554882349-42.7535548823494
69256.5295.196483578931-38.6964835789308
70254.2303.580773621516-49.3807736215165
71253.3293.011065997221-39.7110659972207
72253.8287.484030535419-33.6840305354192
73255.5287.978694265071-32.4786942650707
74257.1288.096473678872-30.9964736788717
75257.3281.681246523001-24.3812465230007
76253.2287.317764060605-34.1177640606046
77252.8287.818512988455-35.0185129884547
78252287.720292549195-35.7202925491952
79250.7294.093003101145-43.3930031011454
80252.2292.726327457129-40.5263274571292
81250293.973706423285-43.9737064232851
82251292.025925795478-41.0259257954783
83253.4283.906286400007-30.5062864000073
84251.2278.645149815753-27.4451498157526
85255.6280.887149026426-25.2871490264264
86261.1280.682051231778-19.5820512317776
87258.9275.254448478224-16.3544484782236
88259.9277.624208377394-17.7242083773945
89261.2278.143950082212-16.9439500822122
90264.7279.451195138558-14.7511951385576
91267.1285.387071820252-18.2870718202522
92266.4289.699236489558-23.2992364895585
93267.7287.034103400382-19.3341034003819
94268.6281.401724040854-12.8017240408541
95267.5272.541366343645-5.04136634364542
96268.5271.515619023173-3.01561902317303
97268.5271.64941999044-3.14941999043953
98270.5270.855546109794-0.355546109794128
99270.9269.9292314975690.970768502430795
100270.1266.2972738749683.80272612503207
101269.3262.1637852227157.13621477728458
102269.8267.8963473125191.90365268748061
103270.1273.015534584606-2.91553458460578
104264.9271.306988955172-6.40698895517226
105263.7271.072931317853-7.37293131785279
106264.8264.5858769947820.214123005218484
107263.7263.3986011924970.301398807503304
108255.9260.872424491581-4.97242449158128
109276.2274.3581476670941.84185233290592
110360.1295.1400684216864.9599315783198
111380.5319.3791832915761.1208167084304
112373.7324.4839030740849.2160969259202
113369.8327.5486768925642.2513231074397
114366.6328.11520364716838.4847963528321
115359.3334.03208755189525.267912448105
116345.8332.57044802304113.2295519769594
117326.2325.4610051234380.738994876562105
118324.5320.2844524111334.21554758886665
119328.1314.86178734506613.2382126549338
120327.5308.9738891208818.5261108791203
121324.4308.82279843363215.5772015663683
122316.5308.6366934159517.86330658404939
123310.9302.0885168213068.81148317869384
124301.5301.761302391073-0.261302391073126
125291.7300.172845852483-8.4728458524835
126290.4300.2645531829-9.86455318290035
127287.4306.732227619689-19.3322276196887
128277.7306.011306392572-28.3113063925721
129281.6300.345314542509-18.7453145425094
130288300.239833280563-12.239833280563
131276295.956734832554-19.9567348325539
132272.9291.588258765778-18.6882587657781
133283294.684932939995-11.6849329399954
134283.3300.842415429504-17.5424154295038
135276.8293.97136162641-17.1713616264096
136284.5297.955507567829-13.4555075678294
137282.7297.867480409683-15.1674804096828
138281.2297.256454992297-16.0564549922972
139287.4303.401252220636-16.0012522206359
140283.1302.148533238425-19.0485332384254
141284295.646859201787-11.646859201787
142285.5295.313464616229-9.81346461622891
143289.2296.120430395546-6.92043039554563
144292.5290.9162721421941.58372785780613
145296.4293.9179824315732.48201756842694
146305.2290.67404032210314.525959677897
147303.9285.34140145338718.558598546613
148311.5300.03747360455211.462526395448
149316.3297.99319041873918.3068095812608
150316.7302.09237368932714.6076263106733
151322.5310.0414847295912.4585152704095
152317.1308.6748090855748.42519091442573
153309.8302.0401856101627.75981438983763
154303.8298.4020478322365.39795216776386
155290.3291.953772809917-1.65377280991684
156293.7286.3697590172127.33024098278753
157291.7285.9147838984825.78521610151767
158296.5285.00695335603111.4930466439689
159289.1285.1252414770263.97475852297404
160288.5291.730390639979-3.23039063997919
161293.8289.6861074541664.11389254583365
162297.7289.1700459216198.52995407838108
163305.4295.2958503729910.1041496270101
164302.7293.9291747289748.77082527102625
165302.5302.1848883961860.315111603813593
166303297.6920756547175.30792434528332
167294.5287.5971874546126.90281254538823
168294.1282.27907253945411.8209274605458
169294.5282.71675793820311.7832420617971
170297.1283.04345789864814.0565421013522
171289.4281.7562805240387.64371947596214
172292.4291.1343751242651.26562487573447
173287.9290.096709117737-2.19670911773728
174286.6290.435322548733-3.8353225487333
175280.5297.282852524874-16.7828525248744
176272.4296.54293852079-24.1429385207901
177269.2290.003278930216-20.8032789302164
178270.6290.429595423364-19.8295954233636
179267.3281.854129380669-14.5541293806694
180262.5276.9538555588-14.4538555587998
181266.8279.822616409406-13.0226164094055
182268.8275.192201581298-6.39220158129818
183263.1268.017263346722-4.9172633467218
184261.2269.190478296932-7.99047829693187
185266269.121443915753-3.12144391575291
186262.5270.409696195131-7.90969619513064
187265.2272.148169166978-6.94816916697831
188261.3267.26782978395-5.96782978394994
189253.7262.513491228334-8.81349122833374
190249.2258.514490688022-9.31449068802246
191239.1250.071974084102-10.9719740841017
192236.4246.520187426934-10.120187426934
193235.2248.439309429158-13.2393094291581
194245.2250.038525446434-4.83852544643449
195246.2245.5035832103590.696416789640826
196247.7252.887436228985-5.18743622898535
197251.4254.679693990634-3.27969399063444
198253.3255.891975162142-2.59197516214164
199254.8263.898064533308-9.09806453330834
200250277.364747701014-27.3647477010139
201249.3272.629401922365-23.3294019223653
202241.5268.649394159022-27.1493941590217
203243.3260.700689756259-17.4006897562593
204248256.712069228836-8.71206922883615
205253258.688169561963-5.68816956196309
206252.9274.209091096515-21.3090910965148
207251.5307.887616119318-56.387616119318
208251.6308.092199444179-56.4921994441787
209253.5307.662302300615-54.1623023006147
210259.8312.027384448749-52.2273844487491
211334.1318.5520372164415.5479627835597
212448357.26012097413190.7398790258693
213445.8380.53912122274165.2608787772586
214445382.5608309811762.43916901883
215448.2374.63111935537573.5688806446247
216438.2364.39387520560173.8061247943993
217439.8363.52105899358376.2789410064174
218423.4364.32257837821859.0774216217815
219410.8356.72979905035454.0702009496459
220408.4357.67510067695350.7248993230474
221406.7364.59540821986342.1045917801373
222405.9360.71762516404445.1823748359559
223402.7365.95076909793636.7492309020636
224405.1360.48165362891144.6183463710886
225399.6353.99897236924145.6010276307595
226386.5344.89091482463641.6090851753642
227381.4337.70192150057943.6980784994211
228375.2335.0427953608940.15720463911
229357.7325.92711394491931.772886055081
230359333.37610526822725.6238947317735
231355328.87914858608626.1208514139135
232352.7325.72201038767626.9779896123239
233344.4328.31196478196616.0880352180342
234343.8328.65057821296215.1494217870381
235338342.734356213771-4.73435621377126
236339374.206191946793-35.2061919467933
237333.3374.181054856118-40.8810548561178
238334.4376.050822398805-41.6508223988053
239328.3368.709886859007-40.4098868590072
240330.7351.483300785144-20.7833007851435
241330345.216535914318-15.2165359143175
242331.6383.794688687576-52.1946886875762
243351.2463.511705079923-112.311705079923
244389.4447.040630227201-57.6406302272014
245410.9494.757422696588-83.8574226965882
246442.8497.413154917635-54.6131549176355
247462.8431.8412263161930.9587736838097
248466.9420.61729942597246.2827005740276
249461.7407.73405232820953.965947671791
250439.2393.91578609563145.2842139043687
251430.3377.05946929504953.2405307049511
252416.1388.56895477321527.5310452267855
253402.5391.01987453053211.4801254694677
254397.3406.863673273534-9.56367327353384
255403.3374.61826944168128.6817305583187
256395.9380.23579420231815.6642057976824
257387.8359.57858958822428.221410411776
258378.6359.13849916354719.461500836453
259377.1369.9745123028917.12548769710885
260370.4369.1206416370011.27935836299888
261362349.43798038482512.562019615175
262350.3343.3877599320096.9122400679907
263348.2346.2839311777661.91606882223432
264344.6345.84695994329-1.2469599432899
265343.5346.398602003844-2.89860200384436
266342.8343.382573217986-0.582573217985868
267347.6341.9624464046025.63755359539762
268346.6341.5782536434665.02174635653351
269349.5339.6479271194599.85207288054053
270342.1342.303659340507-0.203659340506789
271342339.9206997103782.07930028962199
272342.8336.559782484766.24021751523966
273339.3324.89207311292614.4079268870745
274348.2321.89968975189926.3003102481011
275333.7331.2723979436182.42760205638178
276334.7352.012373028054-17.3123730280538
277354337.31281518359916.6871848164015
278367.7330.15636101879637.543638981204
279363.3328.58429198967134.7157080103286
280358.4323.09104222424235.3089577757578
281353.1322.07236899468231.0276310053185
282343.1314.37703776836928.7229622316314
283344.6322.72499712495321.8750028750473
284344.4316.62912001599627.7708799840042
285333.9311.34298370528622.5570162947141
286331.7310.57275524947221.1272447505277
287324.3305.64390238456418.6560976154364
288321.2300.26880913850320.9311908614967
289322.4296.96491747462825.4350825253719
290321.7287.43436618887134.2656338111287
291320.5284.19093278659536.3090672134049
292312.8292.69535964631220.1046403536884
293309.7301.2870315623738.4129684376265
294315.6283.58250687411832.0174931258822
295309.7291.79751679192817.9024832080715
296304.6294.45730986505110.1426901349494
297302.5292.47591674670910.0240832532912
298301.5278.41074441355223.0892555864482
299298.8276.67267807920622.1273219207944
300291.3272.41815867423618.8818413257644
301293.6279.33238101894714.2676189810528
302294.6279.05131211642815.5486878835721
303285.9285.2282960900980.671703909902108
304297.6293.4858168492354.11418315076486
305301.1283.36960345217817.7303965478219
306293.8280.99224977680312.8077502231974
307297.7276.82396911171620.8760308882837
308292.9274.81153905080118.0884609491994
309292.1281.43387389879710.6661261012032
310287.2278.4984688686738.70153113132701
311288.2277.46313528212910.7368647178708
312283.8261.43309415722622.3669058427736
313299.9272.31680688817327.5831931118265
314292.4272.20667297836320.1933270216371
315293.3262.44871707618830.8512829238117
316300.8269.81357731784730.9864226821531
317293.7273.84698276167719.8530172383232
318293.1269.8742358210223.22576417898
319294.4286.3890892736868.0109107263135
320292.1282.3064465232999.79355347670128
321291.9279.50836399534912.3916360046512
322282.5274.2748329521418.22516704785867
323277.9268.4343267927869.46567320721369
324287.5268.77605941398318.7239405860165
325289.2283.7622119699395.43778803006062
326285.6286.804879036756-1.20487903675591
327293.2287.7208637903915.47913620960859
328290.8286.2920682960364.50793170396436
329283.1290.458423178639-7.35842317863894
330275303.294283854338-28.2942838543378
331287.8296.239101090171-8.43910109017118
332287.8299.582634134128-11.7826341341281
333287.4308.80697942669-21.4069794266901
334284303.687405045288-19.6874050452885
335277.8311.863568288047-34.0635682880469
336277.6327.665421360898-50.0654213608978
337304.9331.996626038011-27.0966260380113
338294360.489614241457-66.4896142414566
339300.9383.342256392709-82.4422563927087
340324371.619375781896-47.6193757818957
341332.9367.314952136934-34.4149521369344
342341.6356.846675473347-15.246675473347
343333.4347.170489487647-13.770489487647
344348.2348.53877372697-0.338773726970079
345344.7335.8074688449488.89253115505218
346344.7351.428006912202-6.7280069122019
347329.3351.152384404363-21.8523844043634
348323.5348.797142696157-25.2971426961568
349323.2380.743845084209-57.5438450842093
350317.4365.382511269389-47.982511269389
351330.1350.249599485374-20.1495994853742
352329.2354.898492620661-25.6984926206612
353334.9349.47349513461-14.5734951346096
354315.8338.739319593475-22.9393195934754
355315.4350.05015215701-34.6501521570103
356319.6363.174965339298-43.5749653392984
357317.3352.437902038878-35.1379020388777
358313.8346.80552267935-33.0055226793499
359315.8362.521818378259-46.7218183782588
360311.3374.810007712098-63.5100077120975







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.1569382362453530.3138764724907060.843061763754647
180.6038744572648530.7922510854702940.396125542735147
190.491504183770610.9830083675412210.50849581622939
200.3627623706903040.7255247413806080.637237629309696
210.2537643935717830.5075287871435660.746235606428217
220.1787999039685560.3575998079371120.821200096031444
230.1494012858146820.2988025716293650.850598714185318
240.1288768393848830.2577536787697660.871123160615117
250.1889426092149120.3778852184298240.811057390785088
260.2800816031897250.5601632063794490.719918396810275
270.8926612512119650.2146774975760690.107338748788035
280.8930081169197630.2139837661604750.106991883080237
290.8566464392839180.2867071214321640.143353560716082
300.814785900102380.3704281997952410.18521409989762
310.7656084578900640.4687830842198710.234391542109936
320.7398386624912110.5203226750175780.260161337508789
330.6958029623802030.6083940752395950.304197037619797
340.6446044422077650.7107911155844690.355395557792235
350.593374630092310.813250739815380.40662536990769
360.5423690034545960.9152619930908070.457630996545404
370.4879889358505870.9759778717011750.512011064149413
380.4369154123358920.8738308246717830.563084587664108
390.4033952344874520.8067904689749030.596604765512548
400.4467129777327030.8934259554654050.553287022267297
410.4457200972188320.8914401944376650.554279902781168
420.4073137482743890.8146274965487780.592686251725611
430.3587130200522150.7174260401044310.641286979947784
440.3109131141624250.621826228324850.689086885837575
450.2656576626669290.5313153253338590.734342337333071
460.2239855437603480.4479710875206960.776014456239652
470.1875554075440010.3751108150880010.812444592455999
480.181002344238570.3620046884771410.81899765576143
490.149424070760970.2988481415219390.85057592923903
500.1390477643792550.2780955287585090.860952235620745
510.1531330491059440.3062660982118890.846866950894056
520.1640028006960720.3280056013921440.835997199303928
530.1817610414516440.3635220829032880.818238958548356
540.1754477886254170.3508955772508330.824552211374583
550.1735439611120420.3470879222240850.826456038887958
560.1646136914122650.3292273828245310.835386308587735
570.1450044764818180.2900089529636350.854995523518182
580.1463348053086420.2926696106172850.853665194691358
590.1673810315633270.3347620631266540.832618968436673
600.1520376869399570.3040753738799130.847962313060043
610.1318758448070930.2637516896141850.868124155192907
620.1171411180350390.2342822360700790.882858881964961
630.1002491457535770.2004982915071540.899750854246423
640.08598639070502580.1719727814100520.914013609294974
650.07285571866387980.145711437327760.92714428133612
660.0604527540049860.1209055080099720.939547245995014
670.05148954250699530.1029790850139910.948510457493005
680.04317982230549550.08635964461099090.956820177694505
690.03614290123657350.07228580247314710.963857098763427
700.03418489179823270.06836978359646550.965815108201767
710.0285049119935860.0570098239871720.971495088006414
720.02323504616895170.04647009233790330.976764953831048
730.02403856354003510.04807712708007020.975961436459965
740.02447846385803370.04895692771606740.975521536141966
750.02431648232839880.04863296465679750.975683517671601
760.02087910330502030.04175820661004060.97912089669498
770.01741031783277120.03482063566554240.982589682167229
780.01516622123408090.03033244246816180.984833778765919
790.01397050912981660.02794101825963320.986029490870183
800.01374438163131660.02748876326263320.986255618368683
810.01219180925702530.02438361851405050.987808190742975
820.01133114658349040.02266229316698080.98866885341651
830.01100517993762450.0220103598752490.988994820062375
840.01134767860142010.02269535720284020.98865232139858
850.0168046983549110.03360939670982190.983195301645089
860.02528633802029240.05057267604058470.974713661979708
870.03185263528163930.06370527056327860.968147364718361
880.03898115610708840.07796231221417680.961018843892912
890.04401210340009020.08802420680018050.95598789659991
900.05251231972755090.1050246394551020.947487680272449
910.06661499265669380.1332299853133880.933385007343306
920.07249001830453930.1449800366090790.927509981695461
930.07959066087618840.1591813217523770.920409339123812
940.1000143318239910.2000286636479820.899985668176009
950.1252028838277270.2504057676554550.874797116172273
960.1458195293308810.2916390586617630.854180470669119
970.1958380163344990.3916760326689980.804161983665501
980.2460287065816660.4920574131633310.753971293418334
990.2732080771315060.5464161542630120.726791922868494
1000.3136672635262530.6273345270525060.686332736473747
1010.3513045098727330.7026090197454660.648695490127267
1020.3686492453044150.7372984906088310.631350754695585
1030.3851011895570520.7702023791141030.614898810442948
1040.39123170123860.7824634024771990.6087682987614
1050.3901976648624980.7803953297249960.609802335137502
1060.3951748943644160.7903497887288310.604825105635584
1070.3901430785058930.7802861570117870.609856921494107
1080.3741891264301580.7483782528603170.625810873569842
1090.3944629861987580.7889259723975160.605537013801242
1100.6705917235375280.6588165529249440.329408276462472
1110.7890634656295130.4218730687409740.210936534370487
1120.8165105762328810.3669788475342390.183489423767119
1130.8166224237925590.3667551524148810.18337757620744
1140.8110455168172870.3779089663654260.188954483182713
1150.7937159747167710.4125680505664580.206284025283229
1160.7696667989479220.4606664021041560.230333201052078
1170.7443954327257150.511209134548570.255604567274285
1180.7168451425541560.5663097148916880.283154857445844
1190.6891511358819930.6216977282360140.310848864118007
1200.6637539554892190.6724920890215610.336246044510781
1210.6399663801061710.7200672397876580.360033619893829
1220.6090251818742980.7819496362514050.390974818125702
1230.5778991140341340.8442017719317320.422100885965866
1240.545424116088850.90915176782230.45457588391115
1250.5158040911419230.9683918177161530.484195908858077
1260.4856805096331960.9713610192663920.514319490366804
1270.4622175796113330.9244351592226660.537782420388667
1280.4497757669750390.8995515339500770.550224233024961
1290.4267610643699510.8535221287399020.573238935630049
1300.4002340084833240.8004680169666480.599765991516676
1310.3800753654646970.7601507309293940.619924634535303
1320.3588261663741850.717652332748370.641173833625815
1330.334467626749840.668935253499680.66553237325016
1340.3143482836240930.6286965672481850.685651716375907
1350.2937867943122370.5875735886244740.706213205687763
1360.271259272863950.5425185457278990.72874072713605
1370.2509220240768410.5018440481536820.749077975923159
1380.2314433554924090.4628867109848190.768556644507591
1390.2145712614801360.4291425229602720.785428738519864
1400.2016570558316820.4033141116633640.798342944168318
1410.1883587783244190.3767175566488380.811641221675581
1420.1741392644066490.3482785288132990.825860735593351
1430.1571596828960610.3143193657921210.842840317103939
1440.1416197136318440.2832394272636870.858380286368156
1450.1302443445550020.2604886891100050.869755655444998
1460.125230062150460.250460124300920.87476993784954
1470.1220382516628360.2440765033256720.877961748337164
1480.1094242527474810.2188485054949630.890575747252519
1490.1013839646493090.2027679292986180.898616035350691
1500.09169591924277080.1833918384855420.908304080757229
1510.08365420627746730.1673084125549350.916345793722533
1520.07627313124153750.1525462624830750.923726868758462
1530.06968674206846030.1393734841369210.93031325793154
1540.06288844251560980.125776885031220.93711155748439
1550.05500312501564430.1100062500312890.944996874984356
1560.0488007000860420.0976014001720840.951199299913958
1570.0448544267207580.08970885344151610.955145573279242
1580.04136309118554140.08272618237108280.958636908814459
1590.03550182029632910.07100364059265810.964498179703671
1600.03013777317901630.06027554635803260.969862226820984
1610.02565397296736370.05130794593472740.974346027032636
1620.02254485291047930.04508970582095860.977455147089521
1630.02087031832923560.04174063665847110.979129681670764
1640.01972389493899460.03944778987798920.980276105061005
1650.01683553084856510.03367106169713010.983164469151435
1660.01447660914225550.02895321828451090.985523390857745
1670.012493942652560.02498788530512010.98750605734744
1680.01094697143631930.02189394287263850.989053028563681
1690.01003378719535660.02006757439071330.989966212804643
1700.008966061453269110.01793212290653820.991033938546731
1710.007463552696361190.01492710539272240.992536447303639
1720.006057779836924790.01211555967384960.993942220163075
1730.004888322638030410.009776645276060820.99511167736197
1740.003955081340452780.007910162680905570.996044918659547
1750.003467488848164210.006934977696328430.996532511151836
1760.003333138085584020.006666276171168040.996666861914416
1770.003110650044946720.006221300089893450.996889349955053
1780.00286832689655920.005736653793118390.997131673103441
1790.002509227154130180.005018454308260370.99749077284587
1800.002168158293933520.004336316587867040.997831841706066
1810.001912116874216280.003824233748432570.998087883125784
1820.001591154812766280.003182309625532570.998408845187234
1830.001318255496817280.002636510993634570.998681744503183
1840.001138174095124740.002276348190249480.998861825904875
1850.0009682922531092720.001936584506218540.999031707746891
1860.0008363543864025410.001672708772805080.999163645613597
1870.0008133043551335290.001626608710267060.999186695644867
1880.0008780952636536250.001756190527307250.999121904736346
1890.0009483253095126260.001896650619025250.999051674690487
1900.001011873506114170.002023747012228340.998988126493886
1910.001051523669564670.002103047339129330.998948476330435
1920.001052702471401990.002105404942803970.998947297528598
1930.001156145673071730.002312291346143470.998843854326928
1940.001109619186891890.002219238373783780.998890380813108
1950.001042717849314780.002085435698629560.998957282150685
1960.001019556800780030.002039113601560060.99898044319922
1970.0009681523705171910.001936304741034380.999031847629483
1980.0009508500928039110.001901700185607820.999049149907196
1990.001086001168091640.002172002336183280.998913998831908
2000.001759945816507740.003519891633015490.998240054183492
2010.002786944562305780.005573889124611550.997213055437694
2020.004978929892561770.009957859785123540.995021070107438
2030.007575455160087740.01515091032017550.992424544839912
2040.01024969459975490.02049938919950970.989750305400245
2050.01480243017307850.0296048603461570.985197569826922
2060.02403637314472110.04807274628944220.975963626855279
2070.09885107446840240.1977021489368050.901148925531598
2080.3028745505458170.6057491010916330.697125449454183
2090.6197054413345550.7605891173308910.380294558665445
2100.8833672442928820.2332655114142360.116632755707118
2110.8974255805179580.2051488389640840.102574419482042
2120.9478572806085170.1042854387829650.0521427193914825
2130.9540530370927520.09189392581449650.0459469629072482
2140.958716497481390.08256700503722080.0412835025186104
2150.9712754592227550.05744908155448920.0287245407772446
2160.980762345448480.038475309103040.01923765455152
2170.9884247435036020.02315051299279680.0115752564963984
2180.9905445306902920.0189109386194150.00945546930970751
2190.9909398028107190.01812039437856140.00906019718928068
2200.9904048384103370.01919032317932650.00959516158966324
2210.989370063692010.02125987261598010.0106299363079901
2220.9883636005217480.02327279895650450.0116363994782522
2230.9863500688617970.02729986227640520.0136499311382026
2240.984941747926320.03011650414735920.0150582520736796
2250.983471798602170.03305640279565940.0165282013978297
2260.9810926957234150.0378146085531710.0189073042765855
2270.9792002491473190.04159950170536140.0207997508526807
2280.9767500143764440.0464999712471120.023249985623556
2290.9720150497091980.05596990058160380.0279849502908019
2300.9665865205557620.06682695888847620.0334134794442381
2310.9600133308124180.07997333837516450.0399866691875822
2320.9525331207698790.09493375846024260.0474668792301213
2330.9460198070593670.1079603858812670.0539801929406333
2340.9392414066182090.1215171867635810.0607585933817906
2350.9458368366495670.1083263267008660.0541631633504332
2360.9778806234695550.04423875306088920.0221193765304446
2370.9938774873800690.01224502523986210.00612251261993105
2380.9985939215531190.002812156893761760.00140607844688088
2390.9997013488846680.000597302230664540.00029865111533227
2400.9998446051856840.0003107896286316850.000155394814315842
2410.9999122086688660.0001755826622688958.77913311344474e-05
2420.9999924648721671.50702556656618e-057.53512783283088e-06
2430.9999999995311969.37607838870603e-104.68803919435301e-10
2440.999999999978014.39805552476645e-112.19902776238323e-11
2450.9999999999999431.13684835058994e-135.68424175294968e-14
2460.9999999999999931.47677906970997e-147.38389534854983e-15
2470.9999999999999941.19572973844416e-145.9786486922208e-15
2480.9999999999999992.19501906389276e-151.09750953194638e-15
24911.32437418951111e-166.62187094755557e-17
25012.62549238396805e-171.31274619198403e-17
25117.32754877220675e-193.66377438610338e-19
25212.20300697494258e-191.10150348747129e-19
25313.83885046254578e-191.91942523127289e-19
25418.83476074526379e-194.4173803726319e-19
25516.41216364957502e-193.20608182478751e-19
25611.19270329049175e-185.96351645245876e-19
25711.61550449153554e-188.07752245767772e-19
25813.20520731174029e-181.60260365587014e-18
25917.78892112711213e-183.89446056355606e-18
26011.88620057270513e-179.43100286352566e-18
26114.57854552489252e-172.28927276244626e-17
26219.85152220066092e-174.92576110033046e-17
26312.28484565175511e-161.14242282587755e-16
26415.18433824197115e-162.59216912098557e-16
26518.88547902787205e-164.44273951393602e-16
2660.9999999999999991.6923758539608e-158.46187926980398e-16
2670.9999999999999983.59254432960325e-151.79627216480162e-15
2680.9999999999999976.50458148700465e-153.25229074350233e-15
2690.9999999999999931.34349898572039e-146.71749492860197e-15
2700.9999999999999911.86503128829199e-149.32515644145995e-15
2710.9999999999999862.82210421884514e-141.41105210942257e-14
2720.9999999999999774.63235322684299e-142.31617661342149e-14
2730.9999999999999568.8846604121098e-144.4423302060549e-14
2740.9999999999999061.87943503179471e-139.39717515897356e-14
2750.9999999999998343.31017741508635e-131.65508870754318e-13
2760.9999999999998742.5203363618991e-131.26016818094955e-13
2770.9999999999997135.73177032401101e-132.86588516200551e-13
2780.9999999999998193.61300516038115e-131.80650258019058e-13
2790.9999999999998373.26906092255713e-131.63453046127856e-13
2800.9999999999998123.7564266202487e-131.87821331012435e-13
2810.9999999999997225.55811924938147e-132.77905962469073e-13
2820.9999999999994991.0023650136179e-125.01182506808949e-13
2830.999999999999011.97950507555792e-129.89752537778961e-13
2840.9999999999984263.14742285627988e-121.57371142813994e-12
2850.9999999999967856.42928936980998e-123.21464468490499e-12
2860.9999999999936321.27353581539909e-116.36767907699547e-12
2870.9999999999880792.38428682317102e-111.19214341158551e-11
2880.9999999999811313.77382521826102e-111.88691260913051e-11
2890.9999999999709985.80036691944289e-112.90018345972145e-11
2900.9999999999820943.58114680647188e-111.79057340323594e-11
2910.9999999999877972.44064897018995e-111.22032448509497e-11
2920.9999999999744635.10734474365914e-112.55367237182957e-11
2930.9999999999402321.19536556940989e-105.97682784704946e-11
2940.9999999999242761.51448886995367e-107.57244434976834e-11
2950.9999999998440073.11986924425287e-101.55993462212643e-10
2960.9999999996406837.1863388914932e-103.5931694457466e-10
2970.9999999991808281.63834316251362e-098.19171581256809e-10
2980.9999999984308173.13836546500973e-091.56918273250487e-09
2990.999999997523214.95357945114223e-092.47678972557112e-09
3000.9999999955600238.87995492534815e-094.43997746267407e-09
3010.9999999904544741.90910512724552e-089.54552563622758e-09
3020.9999999847604763.04790483686352e-081.52395241843176e-08
3030.999999967151526.56969603854883e-083.28484801927442e-08
3040.9999999290883791.41823242139716e-077.09116210698582e-08
3050.9999998563165852.87366830463238e-071.43683415231619e-07
3060.9999997016325115.96734977837387e-072.98367488918693e-07
3070.9999994451268911.10974621868613e-065.54873109343063e-07
3080.9999988705945872.25881082524872e-061.12940541262436e-06
3090.9999977023287674.59534246601766e-062.29767123300883e-06
3100.9999953862410989.2275178033093e-064.61375890165465e-06
3110.9999916331278031.67337443944297e-058.36687219721483e-06
3120.99998648576542.70284691993256e-051.35142345996628e-05
3130.9999828796406433.42407187135132e-051.71203593567566e-05
3140.9999800047084983.99905830031281e-051.99952915015641e-05
3150.9999738668920085.22662159848697e-052.61331079924348e-05
3160.9999642019260927.15961478165228e-053.57980739082614e-05
3170.9999339014468770.0001321971062462046.6098553123102e-05
3180.9998957803361280.0002084393277439190.000104219663871959
3190.9998135025019120.0003729949961755450.000186497498087772
3200.9996526663904090.0006946672191825670.000347333609591284
3210.999372479387260.001255041225480680.00062752061274034
3220.9988613126723130.00227737465537430.00113868732768715
3230.9980590432632990.003881913473402370.00194095673670118
3240.9979816582346350.004036683530730790.0020183417653654
3250.996851881552810.00629623689438090.00314811844719045
3260.9960842429464940.007831514107012220.00391575705350611
3270.9956564974455140.008687005108971830.00434350255448591
3280.9934931806685150.01301363866297070.00650681933148534
3290.9888722830727290.02225543385454290.0111277169272715
3300.9865494270792180.02690114584156460.0134505729207823
3310.9773695782618930.04526084347621390.022630421738107
3320.9654485805344680.0691028389310640.034551419465532
3330.9577307848308220.08453843033835570.0422692151691779
3340.9509520754793920.0980958490412170.0490479245206085
3350.9587491273755620.0825017452488770.0412508726244385
3360.9847772970074930.03044540598501360.0152227029925068
3370.9928852629474170.01422947410516630.00711473705258316
3380.9976588826658370.004682234668325070.00234111733416253
3390.9987113721641360.002577255671727140.00128862783586357
3400.9983956456867490.003208708626501940.00160435431325097
3410.9995669281970410.000866143605917770.000433071802958885
3420.997614152471430.004771695057140480.00238584752857024
3430.9907936558622470.01841268827550530.00920634413775267

\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]
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[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]
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[ROW][C]93[/C][C]0.0795906608761884[/C][C]0.159181321752377[/C][C]0.920409339123812[/C][/ROW]
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[ROW][C]105[/C][C]0.390197664862498[/C][C]0.780395329724996[/C][C]0.609802335137502[/C][/ROW]
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[ROW][C]108[/C][C]0.374189126430158[/C][C]0.748378252860317[/C][C]0.625810873569842[/C][/ROW]
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[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]
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[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]
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[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]
[ROW][C]166[/C][C]0.0144766091422555[/C][C]0.0289532182845109[/C][C]0.985523390857745[/C][/ROW]
[ROW][C]167[/C][C]0.01249394265256[/C][C]0.0249878853051201[/C][C]0.98750605734744[/C][/ROW]
[ROW][C]168[/C][C]0.0109469714363193[/C][C]0.0218939428726385[/C][C]0.989053028563681[/C][/ROW]
[ROW][C]169[/C][C]0.0100337871953566[/C][C]0.0200675743907133[/C][C]0.989966212804643[/C][/ROW]
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[ROW][C]278[/C][C]0.999999999999819[/C][C]3.61300516038115e-13[/C][C]1.80650258019058e-13[/C][/ROW]
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[ROW][C]287[/C][C]0.999999999988079[/C][C]2.38428682317102e-11[/C][C]1.19214341158551e-11[/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]
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[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-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.1569382362453530.3138764724907060.843061763754647
180.6038744572648530.7922510854702940.396125542735147
190.491504183770610.9830083675412210.50849581622939
200.3627623706903040.7255247413806080.637237629309696
210.2537643935717830.5075287871435660.746235606428217
220.1787999039685560.3575998079371120.821200096031444
230.1494012858146820.2988025716293650.850598714185318
240.1288768393848830.2577536787697660.871123160615117
250.1889426092149120.3778852184298240.811057390785088
260.2800816031897250.5601632063794490.719918396810275
270.8926612512119650.2146774975760690.107338748788035
280.8930081169197630.2139837661604750.106991883080237
290.8566464392839180.2867071214321640.143353560716082
300.814785900102380.3704281997952410.18521409989762
310.7656084578900640.4687830842198710.234391542109936
320.7398386624912110.5203226750175780.260161337508789
330.6958029623802030.6083940752395950.304197037619797
340.6446044422077650.7107911155844690.355395557792235
350.593374630092310.813250739815380.40662536990769
360.5423690034545960.9152619930908070.457630996545404
370.4879889358505870.9759778717011750.512011064149413
380.4369154123358920.8738308246717830.563084587664108
390.4033952344874520.8067904689749030.596604765512548
400.4467129777327030.8934259554654050.553287022267297
410.4457200972188320.8914401944376650.554279902781168
420.4073137482743890.8146274965487780.592686251725611
430.3587130200522150.7174260401044310.641286979947784
440.3109131141624250.621826228324850.689086885837575
450.2656576626669290.5313153253338590.734342337333071
460.2239855437603480.4479710875206960.776014456239652
470.1875554075440010.3751108150880010.812444592455999
480.181002344238570.3620046884771410.81899765576143
490.149424070760970.2988481415219390.85057592923903
500.1390477643792550.2780955287585090.860952235620745
510.1531330491059440.3062660982118890.846866950894056
520.1640028006960720.3280056013921440.835997199303928
530.1817610414516440.3635220829032880.818238958548356
540.1754477886254170.3508955772508330.824552211374583
550.1735439611120420.3470879222240850.826456038887958
560.1646136914122650.3292273828245310.835386308587735
570.1450044764818180.2900089529636350.854995523518182
580.1463348053086420.2926696106172850.853665194691358
590.1673810315633270.3347620631266540.832618968436673
600.1520376869399570.3040753738799130.847962313060043
610.1318758448070930.2637516896141850.868124155192907
620.1171411180350390.2342822360700790.882858881964961
630.1002491457535770.2004982915071540.899750854246423
640.08598639070502580.1719727814100520.914013609294974
650.07285571866387980.145711437327760.92714428133612
660.0604527540049860.1209055080099720.939547245995014
670.05148954250699530.1029790850139910.948510457493005
680.04317982230549550.08635964461099090.956820177694505
690.03614290123657350.07228580247314710.963857098763427
700.03418489179823270.06836978359646550.965815108201767
710.0285049119935860.0570098239871720.971495088006414
720.02323504616895170.04647009233790330.976764953831048
730.02403856354003510.04807712708007020.975961436459965
740.02447846385803370.04895692771606740.975521536141966
750.02431648232839880.04863296465679750.975683517671601
760.02087910330502030.04175820661004060.97912089669498
770.01741031783277120.03482063566554240.982589682167229
780.01516622123408090.03033244246816180.984833778765919
790.01397050912981660.02794101825963320.986029490870183
800.01374438163131660.02748876326263320.986255618368683
810.01219180925702530.02438361851405050.987808190742975
820.01133114658349040.02266229316698080.98866885341651
830.01100517993762450.0220103598752490.988994820062375
840.01134767860142010.02269535720284020.98865232139858
850.0168046983549110.03360939670982190.983195301645089
860.02528633802029240.05057267604058470.974713661979708
870.03185263528163930.06370527056327860.968147364718361
880.03898115610708840.07796231221417680.961018843892912
890.04401210340009020.08802420680018050.95598789659991
900.05251231972755090.1050246394551020.947487680272449
910.06661499265669380.1332299853133880.933385007343306
920.07249001830453930.1449800366090790.927509981695461
930.07959066087618840.1591813217523770.920409339123812
940.1000143318239910.2000286636479820.899985668176009
950.1252028838277270.2504057676554550.874797116172273
960.1458195293308810.2916390586617630.854180470669119
970.1958380163344990.3916760326689980.804161983665501
980.2460287065816660.4920574131633310.753971293418334
990.2732080771315060.5464161542630120.726791922868494
1000.3136672635262530.6273345270525060.686332736473747
1010.3513045098727330.7026090197454660.648695490127267
1020.3686492453044150.7372984906088310.631350754695585
1030.3851011895570520.7702023791141030.614898810442948
1040.39123170123860.7824634024771990.6087682987614
1050.3901976648624980.7803953297249960.609802335137502
1060.3951748943644160.7903497887288310.604825105635584
1070.3901430785058930.7802861570117870.609856921494107
1080.3741891264301580.7483782528603170.625810873569842
1090.3944629861987580.7889259723975160.605537013801242
1100.6705917235375280.6588165529249440.329408276462472
1110.7890634656295130.4218730687409740.210936534370487
1120.8165105762328810.3669788475342390.183489423767119
1130.8166224237925590.3667551524148810.18337757620744
1140.8110455168172870.3779089663654260.188954483182713
1150.7937159747167710.4125680505664580.206284025283229
1160.7696667989479220.4606664021041560.230333201052078
1170.7443954327257150.511209134548570.255604567274285
1180.7168451425541560.5663097148916880.283154857445844
1190.6891511358819930.6216977282360140.310848864118007
1200.6637539554892190.6724920890215610.336246044510781
1210.6399663801061710.7200672397876580.360033619893829
1220.6090251818742980.7819496362514050.390974818125702
1230.5778991140341340.8442017719317320.422100885965866
1240.545424116088850.90915176782230.45457588391115
1250.5158040911419230.9683918177161530.484195908858077
1260.4856805096331960.9713610192663920.514319490366804
1270.4622175796113330.9244351592226660.537782420388667
1280.4497757669750390.8995515339500770.550224233024961
1290.4267610643699510.8535221287399020.573238935630049
1300.4002340084833240.8004680169666480.599765991516676
1310.3800753654646970.7601507309293940.619924634535303
1320.3588261663741850.717652332748370.641173833625815
1330.334467626749840.668935253499680.66553237325016
1340.3143482836240930.6286965672481850.685651716375907
1350.2937867943122370.5875735886244740.706213205687763
1360.271259272863950.5425185457278990.72874072713605
1370.2509220240768410.5018440481536820.749077975923159
1380.2314433554924090.4628867109848190.768556644507591
1390.2145712614801360.4291425229602720.785428738519864
1400.2016570558316820.4033141116633640.798342944168318
1410.1883587783244190.3767175566488380.811641221675581
1420.1741392644066490.3482785288132990.825860735593351
1430.1571596828960610.3143193657921210.842840317103939
1440.1416197136318440.2832394272636870.858380286368156
1450.1302443445550020.2604886891100050.869755655444998
1460.125230062150460.250460124300920.87476993784954
1470.1220382516628360.2440765033256720.877961748337164
1480.1094242527474810.2188485054949630.890575747252519
1490.1013839646493090.2027679292986180.898616035350691
1500.09169591924277080.1833918384855420.908304080757229
1510.08365420627746730.1673084125549350.916345793722533
1520.07627313124153750.1525462624830750.923726868758462
1530.06968674206846030.1393734841369210.93031325793154
1540.06288844251560980.125776885031220.93711155748439
1550.05500312501564430.1100062500312890.944996874984356
1560.0488007000860420.0976014001720840.951199299913958
1570.0448544267207580.08970885344151610.955145573279242
1580.04136309118554140.08272618237108280.958636908814459
1590.03550182029632910.07100364059265810.964498179703671
1600.03013777317901630.06027554635803260.969862226820984
1610.02565397296736370.05130794593472740.974346027032636
1620.02254485291047930.04508970582095860.977455147089521
1630.02087031832923560.04174063665847110.979129681670764
1640.01972389493899460.03944778987798920.980276105061005
1650.01683553084856510.03367106169713010.983164469151435
1660.01447660914225550.02895321828451090.985523390857745
1670.012493942652560.02498788530512010.98750605734744
1680.01094697143631930.02189394287263850.989053028563681
1690.01003378719535660.02006757439071330.989966212804643
1700.008966061453269110.01793212290653820.991033938546731
1710.007463552696361190.01492710539272240.992536447303639
1720.006057779836924790.01211555967384960.993942220163075
1730.004888322638030410.009776645276060820.99511167736197
1740.003955081340452780.007910162680905570.996044918659547
1750.003467488848164210.006934977696328430.996532511151836
1760.003333138085584020.006666276171168040.996666861914416
1770.003110650044946720.006221300089893450.996889349955053
1780.00286832689655920.005736653793118390.997131673103441
1790.002509227154130180.005018454308260370.99749077284587
1800.002168158293933520.004336316587867040.997831841706066
1810.001912116874216280.003824233748432570.998087883125784
1820.001591154812766280.003182309625532570.998408845187234
1830.001318255496817280.002636510993634570.998681744503183
1840.001138174095124740.002276348190249480.998861825904875
1850.0009682922531092720.001936584506218540.999031707746891
1860.0008363543864025410.001672708772805080.999163645613597
1870.0008133043551335290.001626608710267060.999186695644867
1880.0008780952636536250.001756190527307250.999121904736346
1890.0009483253095126260.001896650619025250.999051674690487
1900.001011873506114170.002023747012228340.998988126493886
1910.001051523669564670.002103047339129330.998948476330435
1920.001052702471401990.002105404942803970.998947297528598
1930.001156145673071730.002312291346143470.998843854326928
1940.001109619186891890.002219238373783780.998890380813108
1950.001042717849314780.002085435698629560.998957282150685
1960.001019556800780030.002039113601560060.99898044319922
1970.0009681523705171910.001936304741034380.999031847629483
1980.0009508500928039110.001901700185607820.999049149907196
1990.001086001168091640.002172002336183280.998913998831908
2000.001759945816507740.003519891633015490.998240054183492
2010.002786944562305780.005573889124611550.997213055437694
2020.004978929892561770.009957859785123540.995021070107438
2030.007575455160087740.01515091032017550.992424544839912
2040.01024969459975490.02049938919950970.989750305400245
2050.01480243017307850.0296048603461570.985197569826922
2060.02403637314472110.04807274628944220.975963626855279
2070.09885107446840240.1977021489368050.901148925531598
2080.3028745505458170.6057491010916330.697125449454183
2090.6197054413345550.7605891173308910.380294558665445
2100.8833672442928820.2332655114142360.116632755707118
2110.8974255805179580.2051488389640840.102574419482042
2120.9478572806085170.1042854387829650.0521427193914825
2130.9540530370927520.09189392581449650.0459469629072482
2140.958716497481390.08256700503722080.0412835025186104
2150.9712754592227550.05744908155448920.0287245407772446
2160.980762345448480.038475309103040.01923765455152
2170.9884247435036020.02315051299279680.0115752564963984
2180.9905445306902920.0189109386194150.00945546930970751
2190.9909398028107190.01812039437856140.00906019718928068
2200.9904048384103370.01919032317932650.00959516158966324
2210.989370063692010.02125987261598010.0106299363079901
2220.9883636005217480.02327279895650450.0116363994782522
2230.9863500688617970.02729986227640520.0136499311382026
2240.984941747926320.03011650414735920.0150582520736796
2250.983471798602170.03305640279565940.0165282013978297
2260.9810926957234150.0378146085531710.0189073042765855
2270.9792002491473190.04159950170536140.0207997508526807
2280.9767500143764440.0464999712471120.023249985623556
2290.9720150497091980.05596990058160380.0279849502908019
2300.9665865205557620.06682695888847620.0334134794442381
2310.9600133308124180.07997333837516450.0399866691875822
2320.9525331207698790.09493375846024260.0474668792301213
2330.9460198070593670.1079603858812670.0539801929406333
2340.9392414066182090.1215171867635810.0607585933817906
2350.9458368366495670.1083263267008660.0541631633504332
2360.9778806234695550.04423875306088920.0221193765304446
2370.9938774873800690.01224502523986210.00612251261993105
2380.9985939215531190.002812156893761760.00140607844688088
2390.9997013488846680.000597302230664540.00029865111533227
2400.9998446051856840.0003107896286316850.000155394814315842
2410.9999122086688660.0001755826622688958.77913311344474e-05
2420.9999924648721671.50702556656618e-057.53512783283088e-06
2430.9999999995311969.37607838870603e-104.68803919435301e-10
2440.999999999978014.39805552476645e-112.19902776238323e-11
2450.9999999999999431.13684835058994e-135.68424175294968e-14
2460.9999999999999931.47677906970997e-147.38389534854983e-15
2470.9999999999999941.19572973844416e-145.9786486922208e-15
2480.9999999999999992.19501906389276e-151.09750953194638e-15
24911.32437418951111e-166.62187094755557e-17
25012.62549238396805e-171.31274619198403e-17
25117.32754877220675e-193.66377438610338e-19
25212.20300697494258e-191.10150348747129e-19
25313.83885046254578e-191.91942523127289e-19
25418.83476074526379e-194.4173803726319e-19
25516.41216364957502e-193.20608182478751e-19
25611.19270329049175e-185.96351645245876e-19
25711.61550449153554e-188.07752245767772e-19
25813.20520731174029e-181.60260365587014e-18
25917.78892112711213e-183.89446056355606e-18
26011.88620057270513e-179.43100286352566e-18
26114.57854552489252e-172.28927276244626e-17
26219.85152220066092e-174.92576110033046e-17
26312.28484565175511e-161.14242282587755e-16
26415.18433824197115e-162.59216912098557e-16
26518.88547902787205e-164.44273951393602e-16
2660.9999999999999991.6923758539608e-158.46187926980398e-16
2670.9999999999999983.59254432960325e-151.79627216480162e-15
2680.9999999999999976.50458148700465e-153.25229074350233e-15
2690.9999999999999931.34349898572039e-146.71749492860197e-15
2700.9999999999999911.86503128829199e-149.32515644145995e-15
2710.9999999999999862.82210421884514e-141.41105210942257e-14
2720.9999999999999774.63235322684299e-142.31617661342149e-14
2730.9999999999999568.8846604121098e-144.4423302060549e-14
2740.9999999999999061.87943503179471e-139.39717515897356e-14
2750.9999999999998343.31017741508635e-131.65508870754318e-13
2760.9999999999998742.5203363618991e-131.26016818094955e-13
2770.9999999999997135.73177032401101e-132.86588516200551e-13
2780.9999999999998193.61300516038115e-131.80650258019058e-13
2790.9999999999998373.26906092255713e-131.63453046127856e-13
2800.9999999999998123.7564266202487e-131.87821331012435e-13
2810.9999999999997225.55811924938147e-132.77905962469073e-13
2820.9999999999994991.0023650136179e-125.01182506808949e-13
2830.999999999999011.97950507555792e-129.89752537778961e-13
2840.9999999999984263.14742285627988e-121.57371142813994e-12
2850.9999999999967856.42928936980998e-123.21464468490499e-12
2860.9999999999936321.27353581539909e-116.36767907699547e-12
2870.9999999999880792.38428682317102e-111.19214341158551e-11
2880.9999999999811313.77382521826102e-111.88691260913051e-11
2890.9999999999709985.80036691944289e-112.90018345972145e-11
2900.9999999999820943.58114680647188e-111.79057340323594e-11
2910.9999999999877972.44064897018995e-111.22032448509497e-11
2920.9999999999744635.10734474365914e-112.55367237182957e-11
2930.9999999999402321.19536556940989e-105.97682784704946e-11
2940.9999999999242761.51448886995367e-107.57244434976834e-11
2950.9999999998440073.11986924425287e-101.55993462212643e-10
2960.9999999996406837.1863388914932e-103.5931694457466e-10
2970.9999999991808281.63834316251362e-098.19171581256809e-10
2980.9999999984308173.13836546500973e-091.56918273250487e-09
2990.999999997523214.95357945114223e-092.47678972557112e-09
3000.9999999955600238.87995492534815e-094.43997746267407e-09
3010.9999999904544741.90910512724552e-089.54552563622758e-09
3020.9999999847604763.04790483686352e-081.52395241843176e-08
3030.999999967151526.56969603854883e-083.28484801927442e-08
3040.9999999290883791.41823242139716e-077.09116210698582e-08
3050.9999998563165852.87366830463238e-071.43683415231619e-07
3060.9999997016325115.96734977837387e-072.98367488918693e-07
3070.9999994451268911.10974621868613e-065.54873109343063e-07
3080.9999988705945872.25881082524872e-061.12940541262436e-06
3090.9999977023287674.59534246601766e-062.29767123300883e-06
3100.9999953862410989.2275178033093e-064.61375890165465e-06
3110.9999916331278031.67337443944297e-058.36687219721483e-06
3120.99998648576542.70284691993256e-051.35142345996628e-05
3130.9999828796406433.42407187135132e-051.71203593567566e-05
3140.9999800047084983.99905830031281e-051.99952915015641e-05
3150.9999738668920085.22662159848697e-052.61331079924348e-05
3160.9999642019260927.15961478165228e-053.57980739082614e-05
3170.9999339014468770.0001321971062462046.6098553123102e-05
3180.9998957803361280.0002084393277439190.000104219663871959
3190.9998135025019120.0003729949961755450.000186497498087772
3200.9996526663904090.0006946672191825670.000347333609591284
3210.999372479387260.001255041225480680.00062752061274034
3220.9988613126723130.00227737465537430.00113868732768715
3230.9980590432632990.003881913473402370.00194095673670118
3240.9979816582346350.004036683530730790.0020183417653654
3250.996851881552810.00629623689438090.00314811844719045
3260.9960842429464940.007831514107012220.00391575705350611
3270.9956564974455140.008687005108971830.00434350255448591
3280.9934931806685150.01301363866297070.00650681933148534
3290.9888722830727290.02225543385454290.0111277169272715
3300.9865494270792180.02690114584156460.0134505729207823
3310.9773695782618930.04526084347621390.022630421738107
3320.9654485805344680.0691028389310640.034551419465532
3330.9577307848308220.08453843033835570.0422692151691779
3340.9509520754793920.0980958490412170.0490479245206085
3350.9587491273755620.0825017452488770.0412508726244385
3360.9847772970074930.03044540598501360.0152227029925068
3370.9928852629474170.01422947410516630.00711473705258316
3380.9976588826658370.004682234668325070.00234111733416253
3390.9987113721641360.002577255671727140.00128862783586357
3400.9983956456867490.003208708626501940.00160435431325097
3410.9995669281970410.000866143605917770.000433071802958885
3420.997614152471430.004771695057140480.00238584752857024
3430.9907936558622470.01841268827550530.00920634413775267







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1250.382262996941896NOK
5% type I error level1760.53822629969419NOK
10% type I error level2010.614678899082569NOK

\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 testsOK/NOK
1% type I error level1250.382262996941896NOK
5% type I error level1760.53822629969419NOK
10% type I error level2010.614678899082569NOK



Parameters (Session):
par1 = 2 ; par2 = Include Monthly Dummies ; par3 = Linear Trend ;
Parameters (R input):
par1 = 2 ; par2 = Include Monthly Dummies ; par3 = Linear Trend ;
R code (references can be found in the software module):
library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- 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 <- x1
if (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'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$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)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(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$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$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$sigma)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, sum(myerror*myerror))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,x[i])
a<-table.element(a,x[i]-mysum$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')
}