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Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationThu, 01 Nov 2012 10:44:31 -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/01/t1351781306xt67ywux50y4g5g.htm/, Retrieved Thu, 28 Mar 2024 08:20:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=185533, Retrieved Thu, 28 Mar 2024 08:20:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact96
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [WS7 1] [2012-11-01 14:44:31] [b65d2c16eb5ddb762daa9974bc4b1f13] [Current]
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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 time16 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 16 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=185533&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]16 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=185533&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=185533&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 time16 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net







Multiple Linear Regression - Estimated Regression Equation
USA[t] = + 157.97654925833 + 1.86052338433776Colombia[t] + 1.06631570095366M1[t] + 3.59342306958281M2[t] + 0.0326029157048313M3[t] + 2.45423849464263M4[t] + 3.61594961184629M5[t] + 6.10633695281151M6[t] + 14.9544832010665M7[t] + 16.4514378228129M8[t] + 12.7655390664373M9[t] + 9.83344107097385M10[t] + 2.47877384906074M11[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
USA[t] =  +  157.97654925833 +  1.86052338433776Colombia[t] +  1.06631570095366M1[t] +  3.59342306958281M2[t] +  0.0326029157048313M3[t] +  2.45423849464263M4[t] +  3.61594961184629M5[t] +  6.10633695281151M6[t] +  14.9544832010665M7[t] +  16.4514378228129M8[t] +  12.7655390664373M9[t] +  9.83344107097385M10[t] +  2.47877384906074M11[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=185533&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]USA[t] =  +  157.97654925833 +  1.86052338433776Colombia[t] +  1.06631570095366M1[t] +  3.59342306958281M2[t] +  0.0326029157048313M3[t] +  2.45423849464263M4[t] +  3.61594961184629M5[t] +  6.10633695281151M6[t] +  14.9544832010665M7[t] +  16.4514378228129M8[t] +  12.7655390664373M9[t] +  9.83344107097385M10[t] +  2.47877384906074M11[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=185533&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=185533&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] = + 157.97654925833 + 1.86052338433776Colombia[t] + 1.06631570095366M1[t] + 3.59342306958281M2[t] + 0.0326029157048313M3[t] + 2.45423849464263M4[t] + 3.61594961184629M5[t] + 6.10633695281151M6[t] + 14.9544832010665M7[t] + 16.4514378228129M8[t] + 12.7655390664373M9[t] + 9.83344107097385M10[t] + 2.47877384906074M11[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)157.976549258339.89078415.972100
Colombia1.860523384337760.0975219.078400
M11.066315700953668.9661560.11890.9054020.452701
M23.593423069582818.9659690.40080.6888250.344413
M30.03260291570483138.9678450.00360.9971010.498551
M42.454238494642638.967590.27370.7844940.392247
M53.615949611846298.9674130.40320.6870260.343513
M66.106336952811518.9660060.68110.4962910.248146
M714.95448320106658.96911.66730.096350.048175
M816.45143782281298.9681951.83440.0674480.033724
M912.76553906643738.967931.42350.15550.07775
M109.833441070973858.9677591.09650.2736060.136803
M112.478773849060748.9659770.27650.7823560.391178

\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) & 157.97654925833 & 9.890784 & 15.9721 & 0 & 0 \tabularnewline
Colombia & 1.86052338433776 & 0.09752 & 19.0784 & 0 & 0 \tabularnewline
M1 & 1.06631570095366 & 8.966156 & 0.1189 & 0.905402 & 0.452701 \tabularnewline
M2 & 3.59342306958281 & 8.965969 & 0.4008 & 0.688825 & 0.344413 \tabularnewline
M3 & 0.0326029157048313 & 8.967845 & 0.0036 & 0.997101 & 0.498551 \tabularnewline
M4 & 2.45423849464263 & 8.96759 & 0.2737 & 0.784494 & 0.392247 \tabularnewline
M5 & 3.61594961184629 & 8.967413 & 0.4032 & 0.687026 & 0.343513 \tabularnewline
M6 & 6.10633695281151 & 8.966006 & 0.6811 & 0.496291 & 0.248146 \tabularnewline
M7 & 14.9544832010665 & 8.9691 & 1.6673 & 0.09635 & 0.048175 \tabularnewline
M8 & 16.4514378228129 & 8.968195 & 1.8344 & 0.067448 & 0.033724 \tabularnewline
M9 & 12.7655390664373 & 8.96793 & 1.4235 & 0.1555 & 0.07775 \tabularnewline
M10 & 9.83344107097385 & 8.967759 & 1.0965 & 0.273606 & 0.136803 \tabularnewline
M11 & 2.47877384906074 & 8.965977 & 0.2765 & 0.782356 & 0.391178 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=185533&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]157.97654925833[/C][C]9.890784[/C][C]15.9721[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]Colombia[/C][C]1.86052338433776[/C][C]0.09752[/C][C]19.0784[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M1[/C][C]1.06631570095366[/C][C]8.966156[/C][C]0.1189[/C][C]0.905402[/C][C]0.452701[/C][/ROW]
[ROW][C]M2[/C][C]3.59342306958281[/C][C]8.965969[/C][C]0.4008[/C][C]0.688825[/C][C]0.344413[/C][/ROW]
[ROW][C]M3[/C][C]0.0326029157048313[/C][C]8.967845[/C][C]0.0036[/C][C]0.997101[/C][C]0.498551[/C][/ROW]
[ROW][C]M4[/C][C]2.45423849464263[/C][C]8.96759[/C][C]0.2737[/C][C]0.784494[/C][C]0.392247[/C][/ROW]
[ROW][C]M5[/C][C]3.61594961184629[/C][C]8.967413[/C][C]0.4032[/C][C]0.687026[/C][C]0.343513[/C][/ROW]
[ROW][C]M6[/C][C]6.10633695281151[/C][C]8.966006[/C][C]0.6811[/C][C]0.496291[/C][C]0.248146[/C][/ROW]
[ROW][C]M7[/C][C]14.9544832010665[/C][C]8.9691[/C][C]1.6673[/C][C]0.09635[/C][C]0.048175[/C][/ROW]
[ROW][C]M8[/C][C]16.4514378228129[/C][C]8.968195[/C][C]1.8344[/C][C]0.067448[/C][C]0.033724[/C][/ROW]
[ROW][C]M9[/C][C]12.7655390664373[/C][C]8.96793[/C][C]1.4235[/C][C]0.1555[/C][C]0.07775[/C][/ROW]
[ROW][C]M10[/C][C]9.83344107097385[/C][C]8.967759[/C][C]1.0965[/C][C]0.273606[/C][C]0.136803[/C][/ROW]
[ROW][C]M11[/C][C]2.47877384906074[/C][C]8.965977[/C][C]0.2765[/C][C]0.782356[/C][C]0.391178[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=185533&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=185533&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)157.976549258339.89078415.972100
Colombia1.860523384337760.0975219.078400
M11.066315700953668.9661560.11890.9054020.452701
M23.593423069582818.9659690.40080.6888250.344413
M30.03260291570483138.9678450.00360.9971010.498551
M42.454238494642638.967590.27370.7844940.392247
M53.615949611846298.9674130.40320.6870260.343513
M66.106336952811518.9660060.68110.4962910.248146
M714.95448320106658.96911.66730.096350.048175
M816.45143782281298.9681951.83440.0674480.033724
M912.76553906643738.967931.42350.15550.07775
M109.833441070973858.9677591.09650.2736060.136803
M112.478773849060748.9659770.27650.7823560.391178







Multiple Linear Regression - Regression Statistics
Multiple R0.717574496308554
R-squared0.514913157752475
Adjusted R-squared0.498137820268411
F-TEST (value)30.6946526853255
F-TEST (DF numerator)12
F-TEST (DF denominator)347
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation34.7249593956425
Sum Squared Residuals418420.51334507

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.717574496308554 \tabularnewline
R-squared & 0.514913157752475 \tabularnewline
Adjusted R-squared & 0.498137820268411 \tabularnewline
F-TEST (value) & 30.6946526853255 \tabularnewline
F-TEST (DF numerator) & 12 \tabularnewline
F-TEST (DF denominator) & 347 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 34.7249593956425 \tabularnewline
Sum Squared Residuals & 418420.51334507 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=185533&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.717574496308554[/C][/ROW]
[ROW][C]R-squared[/C][C]0.514913157752475[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.498137820268411[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]30.6946526853255[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]12[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]347[/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]34.7249593956425[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]418420.51334507[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=185533&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=185533&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 R0.717574496308554
R-squared0.514913157752475
Adjusted R-squared0.498137820268411
F-TEST (value)30.6946526853255
F-TEST (DF numerator)12
F-TEST (DF denominator)347
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation34.7249593956425
Sum Squared Residuals418420.51334507







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1255321.429345944284-66.4293459442836
2280.2323.956453312913-43.756453312913
3299.9320.042133716011-20.1421337160107
4339.2322.14748031961117.0525196803889
5374.2324.55574210432149.644257895679
6393.5332.86956763826360.6304323617366
7389.2341.66189818498847.5381018150118
8381.7342.43324868684339.266751313157
9375.2337.35195739221437.8480426077859
10369333.28494013230535.7150598676955
11357.4324.94419551669232.4558044833076
12352.1321.36771287087230.7322871291276
13346.5321.03863603357325.4613639664273
14342.9323.10061255611719.7993874438825
15340.3318.75837258081821.5416274191824
16328.3320.4730092737077.82699072629296
17322.9320.9649319725491.93506802745086
18314.3322.82274136284-8.52274136283947
19308.9331.075520128106-22.1755201281064
20294331.958502033021-37.9585020330213
21285.6326.914421206079-41.3144212060792
22281.2321.917142254001-40.7171422540008
23280.3312.92521445387-32.6252144538705
24278.8309.032442832713-30.232442832713
25274.5308.777786930787-34.2777869307869
26270.4308.290846416789-37.8908464167889
27263.4287.259711683979-23.8597116839793
28259.9288.378980893881-28.4789808938807
29258291.94076717688-33.94076717688
30262.7301.668590482919-38.9685904829192
31284.7313.958704992199-29.258704992199
32311.3319.158101148778-7.85810114877753
33322.1322.504980785199-0.404980785198686
34327322.3636678662424.63633213375813
35331.3317.37186534243813.9281346575623
36333.3316.30708926547416.9929107345263
37321.4317.6524834740783.74751652592196
38327318.3376726922138.66232730778723
39320313.6047228062026.39527719379801
40314.7321.254429095129-6.55442909512893
41316.7320.295143554188-3.59514355418753
42314.4320.552902833947-6.15290283394744
43321.3328.024261777792-6.72426177779243
44318.2327.883955821322-9.68395582132166
45307.2322.523586019042-15.3235860190421
46301.3317.526307066964-16.2263070669637
47287.5308.069248420749-20.5692484207489
48277.7310.78133481399-33.0813348139905
49274.4311.029020225836-36.6290202258356
50258.8311.71420944397-52.9142094439703
51253.3306.627760114935-53.3277601149354
52251307.70981885715-56.70981885715
53248.4307.42032173457-59.0203217345702
54249.5308.124606626571-58.6246066265712
55246.1315.205255659705-69.1052556597053
56244.5314.823081663271-70.3230816632705
57243.6309.313869990244-65.713869990244
58244313.433155621421-69.4331556214206
59240.8310.599560223448-69.7995602234483
60249.8306.650972900761-56.8509729007607
61248305.559081475883-57.5590814758826
62259.4306.281481161704-46.8814811617041
63260.5308.972019579201-48.472019579201
64260.8311.282023755079-50.4820237550785
65261.3310.490185318728-49.1901853187275
66259.5310.896786469234-51.3967864692344
67256.6318.070461671585-61.4704616715854
68257.9317.502235336717-59.602235336717
69256.5312.086049832907-55.5860498329073
70254.2320.242671208097-66.0426712080969
71253.3309.799535168183-56.499535168183
72253.8304.343923904182-50.5439239041819
73255.5303.084585374713-47.5845853747133
74257.1303.267433279077-46.1674332790769
75257.3296.990248984066-39.6902489840658
76253.2302.556169082534-49.3561690825344
77252.8303.06669701522-50.2666970152199
78252302.970956851956-50.9709568519556
79250.7309.288791297511-58.5887912975112
80252.2307.994960842751-55.794960842751
81250309.146422885654-59.1464228856536
82251307.181797050046-56.1817970500457
83253.4299.138736175928-45.7387361759277
84251.2293.943598185734-42.7435981857338
85255.6294.395941169856-38.795941169856
86261.1294.262500098882-33.1625000988821
87258.9288.952787963727-30.0527879637267
88259.9291.318607841134-31.4186078411343
89261.2291.847741007663-30.6477410076632
90264.7293.128788148809-28.4287881488088
91267.1299.018702215967-31.9187022159667
92266.4303.287836680376-36.8878366803765
93267.7300.606620551543-32.9066205515433
94268.6295.03257935032-26.4325793503201
95267.5286.26391435631-18.7639143563103
96268.5285.21774351319-16.7177435131897
97268.5283.604905540697-15.104905540697
98270.5282.894702220578-12.3947022205784
99270.9281.994430506303-11.0944305063034
100270.1278.480996489204-8.38099648920374
101269.3274.451847364105-5.15184736410504
102269.8280.067913990758-10.2679139907577
103270.1285.15780300265-15.0578030026504
104264.9283.529078338709-18.6290783387094
105263.7283.229332141829-19.5293321418286
106264.8276.818055417653-12.0180554176534
107263.7275.565904896368-11.8659048963682
108255.9273.049920579621-17.1499205796207
109276.2284.516561999022-8.31656199902247
110360.1304.94190432498155.1580956750192
111380.5328.69356745318151.8064325468188
112373.7333.73854100403539.9614589959647
113369.8336.76077550557733.0392244944233
114366.6337.31621852683129.2837814731694
115359.3343.18752736014516.1124726398548
116345.8341.8006707361683.99932926383193
117326.2334.765829887985-8.56582988798458
118324.5329.638314299003-5.13831429900254
119328.1324.2371966306443.86280336935596
120327.5318.4280859236199.07191407638127
121324.4316.5361694434757.86383055652461
122316.5316.4213336063450.078666393655116
123310.9310.013912674430.886087325569849
124301.5309.737789346078-8.23778934607818
125291.7308.201741555992-16.5017415559921
126290.4308.292053731162-17.8920537311616
127287.4314.702914345934-27.3029143459341
128277.7314.041661841849-36.3416618418487
129281.6308.420818765762-26.8208187657618
130288308.260900612962-20.2609006129616
131276303.976096975206-27.9760969752058
132272.9299.655404975651-26.7554049756507
133283300.944983482725-17.9449834827249
134283.3307.044295749283-23.7442957492825
135276.8300.32058584203-23.5205858420304
136284.5304.267850596125-19.7678505961252
137282.7304.201616279666-21.5016162796659
138281.2303.60353480263-22.4035348026304
139287.4309.698106442066-22.2981064420655
140283.1308.515907390365-25.4159073903655
141284302.07643402517-18.0764340251701
142285.5301.693253066249-16.1932530662493
143289.2302.394652098519-13.1946520985188
144292.5297.255329809855-4.75532980985499
145296.4298.451882147712-2.05188214771234
146305.2295.3416036617989.85839633820196
147303.9290.12491769585913.7750823041405
148311.5304.5655343376196.93446566238081
149316.3302.58296093529213.717039064708
150316.7306.59897745141410.1010225485858
151322.5314.461046305978.03895369402986
152317.1313.167215851213.93278414879011
153309.8306.5975058491113.20249415088916
154303.8302.9770142014420.822985798557611
155290.3296.571213905542-6.27121390554152
156293.7291.059786940012.64021305998974
157291.7288.8701867183732.82981328162716
158296.5288.0483519951948.45164800480599
159289.1288.1713681423050.928631857695244
160288.5294.686155166786-6.18615516678567
161293.8292.7035817644591.0964182355415
162297.7292.198526456645.50147354336006
163305.4298.2744928622327.12550713776835
164302.7296.9806624074715.71933759252858
165302.5304.99745573858-2.49745573858037
166303300.539728567962.46027143204007
167294.5290.5617233741313.93827662586942
168294.1285.3107696824078.78923031759347
169294.5283.99561545140810.5043845485921
170297.1284.38312092804912.7168790719514
171289.4283.1293497707496.27065022925053
172292.4292.3605009363630.0394990636365107
173287.9291.364004927735-3.46400492773534
174286.6291.696185142869-5.09618514286872
175280.5298.479150434509-17.9791504345088
176272.4297.79929269658-25.39929269658
177269.2291.322608863698-22.1226088636978
178270.6291.683637258512-21.0836372585121
179267.3283.194050772153-15.894050772153
180262.5278.352412224983-15.8524122249833
181266.8279.418727925937-12.618727925937
182268.8274.950267369456-6.15026736945613
183263.1267.92887372071-4.82887372070991
184261.2269.122563865985-7.92256386598483
185266269.074934783369-3.07493478336893
186262.5270.337376690671-7.83737669067122
187265.2272.115534078443-6.91553407844269
188261.3267.379735362658-6.07973536265759
189253.7262.651943511053-8.95194351105292
190249.2258.67795242036-9.47795242036028
191239.1250.318602570905-11.2186025709048
192236.4246.797935626615-10.3979356266149
193235.2246.9339896354-11.7339896353997
194245.2248.568045779547-3.36804577954668
195246.2244.132779635032.06722036497004
196247.7251.410381247089-3.71038124708933
197251.4253.186065081124-1.78606508112442
198253.3254.374086053053-1.0740860530532
199254.8262.291970609139-7.49197060913928
200250275.528827786057-25.528827786057
201249.3270.819641168296-21.5196411682957
202241.5266.864255311446-25.3642553114464
203243.3258.988641541919-15.6886415419187
204248255.040054219231-7.04005421923117
205253255.231923929546-2.23192392954608
206252.9270.503616480889-17.6036164808889
207251.5303.502080829248-52.002080829248
208251.6303.746904048511-52.1469040485106
209253.5303.345775522871-49.8457755228705
210259.8307.6222653128-47.8222653128
211334.1314.08894162910320.0110583708974
212448352.05215458386995.9478454161308
213445.8374.7856878850971.0143121149102
214445376.70955592274868.2904440772521
215448.2368.85254738706479.3474526129364
216438.2358.78283812990579.4171618700952
217439.8356.18392276371383.616077236287
218423.4357.03655908643866.3634409135617
219410.8349.60585029313861.1941497068623
220408.4350.57627763229257.8237223677079
221406.7357.37537460403949.3246253959608
222405.9353.57719290594352.3228070940573
223402.7358.77871332089643.9212866791043
224405.1353.46615235596651.6338476440341
225399.6347.04528422461452.5547157753862
226386.5338.06648523005348.4335147699474
227381.4330.9350808142650.46491918574
228375.2328.28885986060946.9111401393911
229357.7317.61527300639140.0847269936087
230359324.97974117429934.0202588257014
231355320.58168549746934.4183145025314
232352.7317.53338232645335.1666176735466
233344.4320.0904859819124.3095140180896
234343.8320.42266619704423.3773338029562
235338334.2942255830113.7057744169893
236339365.16884444345-26.1688444434504
237333.3365.073755818847-31.7737558188467
238334.4366.848781985758-32.4487819857578
239328.3359.568535699218-31.2685356992182
240330.7342.652100387696-11.9521003876964
241330334.769298609985-4.76929860998543
242331.6372.627745047189-41.0277450471887
243351.2450.725296231895-99.5252962318951
244389.4434.634724136672-45.2347241366722
245410.9481.397863403994-70.4978634039944
246442.8483.99988214802-41.1998821480198
247462.8419.84109079486142.958909205139
248466.9408.89114397538858.0088560246122
249461.7396.20031203881765.4996879611825
250439.2382.60741505109956.5925849489014
251430.3366.00594660902764.2940533909732
252416.1377.23923010253538.8607698974646
253402.5377.89623065893524.6037693410653
254397.3393.4842121856153.81578781438499
255403.3361.9039098636141.3960901363897
256395.9367.45122472823628.4487752717644
257387.8347.23552215939840.5644778406017
258378.6346.80488778695331.7951122130468
259377.1357.49495218570319.6050478142974
260370.4356.70346304471413.6965369552864
261362337.35195739221424.6480426077859
262350.3331.36860104643718.9313989535634
263348.2334.11657580147814.0834241985224
264344.6333.64716720750210.9528327924984
265343.5332.44364437956311.0563556204368
266342.8329.55662869976913.2433713002305
267347.6328.17262090556719.4273790944333
268346.6327.84068187568518.7593181243154
269349.5325.96973987641823.5302601235823
270342.1328.57175862044313.5282413795568
271342326.31258026420215.6874197357983
272342.8323.06520025588719.7347997441132
273339.3311.56510328529327.7348967147073
274348.2308.57718958829939.6228104117009
275333.7317.66954908393216.0304509160682
276334.7337.944976225322-3.24497622532189
277354321.80145062115132.1985493788488
278367.7314.85849396350152.8415060364988
279363.3313.32564429855149.9743557014487
280358.4307.98889736480150.4111026351993
281353.1307.01100659001646.0889934099841
282343.1299.47317288940143.6268271105995
283344.6307.72595165466736.8740483453326
284344.4301.79941797290642.6005820270938
285333.9296.55067957368737.349320426313
286331.7295.73957823636935.9604217636315
287324.3290.82219664793833.4778033520622
288321.2285.51542725468435.6845727453163
289322.4280.5350419565441.8649580434603
290321.7271.26643106846750.4335689315326
291320.5268.096320825352.4036791746996
292312.8276.47163123411936.3283687658811
293309.7284.90798878408324.7920112159167
294315.6267.56519684800848.0348031519921
295309.7275.68773897637134.0122610236288
296304.6278.33821809640726.261781903593
297302.5276.32679038593526.1732096140645
298301.5262.49202535825339.0079746417473
299298.8260.70032305550938.0996769444905
300291.3256.49126245901534.8087375409854
301293.6261.52049296860832.0795070313923
302294.6261.3126309622633.2873690377397
303285.9267.37071670540918.5292832945914
304297.6275.50415907426322.0958409257367
305301.1265.61436128850135.4856387114993
306293.8263.28599306403130.5140069359689
307297.7259.27792272651238.4220772734879
308292.9257.35151432107735.5484856789229
309292.1263.76825754165628.3317424583445
310287.2260.83615954619226.3638404538079
311288.2259.73285089565428.4671491043461
312283.8243.98854531626539.8114546837352
313299.9252.90626969912446.9937303008761
314292.4252.86585479736739.5341452026331
315293.3243.31414934592149.9858506540787
316300.8250.57314572413750.2268542758627
317293.7254.54424715169139.155752848309
318293.1250.65303928437842.4469607156223
319294.4266.90606860229727.493931397703
320292.1262.95168970793429.1483102920663
321291.9260.14023694219731.7597630578031
322282.5254.95690565168527.5430943483153
323277.9249.14647283877228.753527161228
324287.5249.43987883237438.0601211676255
325289.2262.37633372540326.8236662745969
326285.6265.42438764164720.1756123583532
327293.2266.32882361017926.8711763898205
328290.8264.97359671891225.8264032810884
329283.1269.07493478336914.0250652166311
330275281.649358867445-6.64935886744481
331287.8274.81329298573212.9867070142676
332287.8278.133560524139.66643947587014
333287.4287.0992207812510.300779218748873
334284282.0275208937991.97247910620081
335277.8289.947750657299-12.1477506572991
336277.6305.385816999411-27.785816999411
337304.9307.884735706305-2.98473570630478
338294335.863802972675-41.8638029726745
339300.9358.257284030308-57.3572840303083
340324346.81802039593-22.8180203959298
341332.9342.621424166241-9.7214241662407
342341.6332.3672263244929.23277367550779
343333.4322.96363817239410.4363618276063
344348.2324.3489613910823.8510386089201
345344.7311.80697132525732.8930286747434
346344.7327.05218679477317.6478132052269
347329.3326.693087497972.60691250203011
348323.5324.344550285813-0.84455028581282
349323.2353.895479000978-30.6954790009776
350317.4338.915061322988-21.5150613229884
351330.1324.0980746938676.00192530613304
352329.2328.696522632480.50347736752002
353334.9323.40221760603211.4977823939684
354315.8312.8875464904762.91245350952416
355315.4324.04274173531-8.64274173530965
356319.6336.944704703047-17.3447047030465
357317.3326.356264190778-9.05626419077788
358313.8320.782222989555-6.98222298955477
359315.8336.088730588876-20.2887305888756
360311.3348.084828669963-36.7848286699627

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 255 & 321.429345944284 & -66.4293459442836 \tabularnewline
2 & 280.2 & 323.956453312913 & -43.756453312913 \tabularnewline
3 & 299.9 & 320.042133716011 & -20.1421337160107 \tabularnewline
4 & 339.2 & 322.147480319611 & 17.0525196803889 \tabularnewline
5 & 374.2 & 324.555742104321 & 49.644257895679 \tabularnewline
6 & 393.5 & 332.869567638263 & 60.6304323617366 \tabularnewline
7 & 389.2 & 341.661898184988 & 47.5381018150118 \tabularnewline
8 & 381.7 & 342.433248686843 & 39.266751313157 \tabularnewline
9 & 375.2 & 337.351957392214 & 37.8480426077859 \tabularnewline
10 & 369 & 333.284940132305 & 35.7150598676955 \tabularnewline
11 & 357.4 & 324.944195516692 & 32.4558044833076 \tabularnewline
12 & 352.1 & 321.367712870872 & 30.7322871291276 \tabularnewline
13 & 346.5 & 321.038636033573 & 25.4613639664273 \tabularnewline
14 & 342.9 & 323.100612556117 & 19.7993874438825 \tabularnewline
15 & 340.3 & 318.758372580818 & 21.5416274191824 \tabularnewline
16 & 328.3 & 320.473009273707 & 7.82699072629296 \tabularnewline
17 & 322.9 & 320.964931972549 & 1.93506802745086 \tabularnewline
18 & 314.3 & 322.82274136284 & -8.52274136283947 \tabularnewline
19 & 308.9 & 331.075520128106 & -22.1755201281064 \tabularnewline
20 & 294 & 331.958502033021 & -37.9585020330213 \tabularnewline
21 & 285.6 & 326.914421206079 & -41.3144212060792 \tabularnewline
22 & 281.2 & 321.917142254001 & -40.7171422540008 \tabularnewline
23 & 280.3 & 312.92521445387 & -32.6252144538705 \tabularnewline
24 & 278.8 & 309.032442832713 & -30.232442832713 \tabularnewline
25 & 274.5 & 308.777786930787 & -34.2777869307869 \tabularnewline
26 & 270.4 & 308.290846416789 & -37.8908464167889 \tabularnewline
27 & 263.4 & 287.259711683979 & -23.8597116839793 \tabularnewline
28 & 259.9 & 288.378980893881 & -28.4789808938807 \tabularnewline
29 & 258 & 291.94076717688 & -33.94076717688 \tabularnewline
30 & 262.7 & 301.668590482919 & -38.9685904829192 \tabularnewline
31 & 284.7 & 313.958704992199 & -29.258704992199 \tabularnewline
32 & 311.3 & 319.158101148778 & -7.85810114877753 \tabularnewline
33 & 322.1 & 322.504980785199 & -0.404980785198686 \tabularnewline
34 & 327 & 322.363667866242 & 4.63633213375813 \tabularnewline
35 & 331.3 & 317.371865342438 & 13.9281346575623 \tabularnewline
36 & 333.3 & 316.307089265474 & 16.9929107345263 \tabularnewline
37 & 321.4 & 317.652483474078 & 3.74751652592196 \tabularnewline
38 & 327 & 318.337672692213 & 8.66232730778723 \tabularnewline
39 & 320 & 313.604722806202 & 6.39527719379801 \tabularnewline
40 & 314.7 & 321.254429095129 & -6.55442909512893 \tabularnewline
41 & 316.7 & 320.295143554188 & -3.59514355418753 \tabularnewline
42 & 314.4 & 320.552902833947 & -6.15290283394744 \tabularnewline
43 & 321.3 & 328.024261777792 & -6.72426177779243 \tabularnewline
44 & 318.2 & 327.883955821322 & -9.68395582132166 \tabularnewline
45 & 307.2 & 322.523586019042 & -15.3235860190421 \tabularnewline
46 & 301.3 & 317.526307066964 & -16.2263070669637 \tabularnewline
47 & 287.5 & 308.069248420749 & -20.5692484207489 \tabularnewline
48 & 277.7 & 310.78133481399 & -33.0813348139905 \tabularnewline
49 & 274.4 & 311.029020225836 & -36.6290202258356 \tabularnewline
50 & 258.8 & 311.71420944397 & -52.9142094439703 \tabularnewline
51 & 253.3 & 306.627760114935 & -53.3277601149354 \tabularnewline
52 & 251 & 307.70981885715 & -56.70981885715 \tabularnewline
53 & 248.4 & 307.42032173457 & -59.0203217345702 \tabularnewline
54 & 249.5 & 308.124606626571 & -58.6246066265712 \tabularnewline
55 & 246.1 & 315.205255659705 & -69.1052556597053 \tabularnewline
56 & 244.5 & 314.823081663271 & -70.3230816632705 \tabularnewline
57 & 243.6 & 309.313869990244 & -65.713869990244 \tabularnewline
58 & 244 & 313.433155621421 & -69.4331556214206 \tabularnewline
59 & 240.8 & 310.599560223448 & -69.7995602234483 \tabularnewline
60 & 249.8 & 306.650972900761 & -56.8509729007607 \tabularnewline
61 & 248 & 305.559081475883 & -57.5590814758826 \tabularnewline
62 & 259.4 & 306.281481161704 & -46.8814811617041 \tabularnewline
63 & 260.5 & 308.972019579201 & -48.472019579201 \tabularnewline
64 & 260.8 & 311.282023755079 & -50.4820237550785 \tabularnewline
65 & 261.3 & 310.490185318728 & -49.1901853187275 \tabularnewline
66 & 259.5 & 310.896786469234 & -51.3967864692344 \tabularnewline
67 & 256.6 & 318.070461671585 & -61.4704616715854 \tabularnewline
68 & 257.9 & 317.502235336717 & -59.602235336717 \tabularnewline
69 & 256.5 & 312.086049832907 & -55.5860498329073 \tabularnewline
70 & 254.2 & 320.242671208097 & -66.0426712080969 \tabularnewline
71 & 253.3 & 309.799535168183 & -56.499535168183 \tabularnewline
72 & 253.8 & 304.343923904182 & -50.5439239041819 \tabularnewline
73 & 255.5 & 303.084585374713 & -47.5845853747133 \tabularnewline
74 & 257.1 & 303.267433279077 & -46.1674332790769 \tabularnewline
75 & 257.3 & 296.990248984066 & -39.6902489840658 \tabularnewline
76 & 253.2 & 302.556169082534 & -49.3561690825344 \tabularnewline
77 & 252.8 & 303.06669701522 & -50.2666970152199 \tabularnewline
78 & 252 & 302.970956851956 & -50.9709568519556 \tabularnewline
79 & 250.7 & 309.288791297511 & -58.5887912975112 \tabularnewline
80 & 252.2 & 307.994960842751 & -55.794960842751 \tabularnewline
81 & 250 & 309.146422885654 & -59.1464228856536 \tabularnewline
82 & 251 & 307.181797050046 & -56.1817970500457 \tabularnewline
83 & 253.4 & 299.138736175928 & -45.7387361759277 \tabularnewline
84 & 251.2 & 293.943598185734 & -42.7435981857338 \tabularnewline
85 & 255.6 & 294.395941169856 & -38.795941169856 \tabularnewline
86 & 261.1 & 294.262500098882 & -33.1625000988821 \tabularnewline
87 & 258.9 & 288.952787963727 & -30.0527879637267 \tabularnewline
88 & 259.9 & 291.318607841134 & -31.4186078411343 \tabularnewline
89 & 261.2 & 291.847741007663 & -30.6477410076632 \tabularnewline
90 & 264.7 & 293.128788148809 & -28.4287881488088 \tabularnewline
91 & 267.1 & 299.018702215967 & -31.9187022159667 \tabularnewline
92 & 266.4 & 303.287836680376 & -36.8878366803765 \tabularnewline
93 & 267.7 & 300.606620551543 & -32.9066205515433 \tabularnewline
94 & 268.6 & 295.03257935032 & -26.4325793503201 \tabularnewline
95 & 267.5 & 286.26391435631 & -18.7639143563103 \tabularnewline
96 & 268.5 & 285.21774351319 & -16.7177435131897 \tabularnewline
97 & 268.5 & 283.604905540697 & -15.104905540697 \tabularnewline
98 & 270.5 & 282.894702220578 & -12.3947022205784 \tabularnewline
99 & 270.9 & 281.994430506303 & -11.0944305063034 \tabularnewline
100 & 270.1 & 278.480996489204 & -8.38099648920374 \tabularnewline
101 & 269.3 & 274.451847364105 & -5.15184736410504 \tabularnewline
102 & 269.8 & 280.067913990758 & -10.2679139907577 \tabularnewline
103 & 270.1 & 285.15780300265 & -15.0578030026504 \tabularnewline
104 & 264.9 & 283.529078338709 & -18.6290783387094 \tabularnewline
105 & 263.7 & 283.229332141829 & -19.5293321418286 \tabularnewline
106 & 264.8 & 276.818055417653 & -12.0180554176534 \tabularnewline
107 & 263.7 & 275.565904896368 & -11.8659048963682 \tabularnewline
108 & 255.9 & 273.049920579621 & -17.1499205796207 \tabularnewline
109 & 276.2 & 284.516561999022 & -8.31656199902247 \tabularnewline
110 & 360.1 & 304.941904324981 & 55.1580956750192 \tabularnewline
111 & 380.5 & 328.693567453181 & 51.8064325468188 \tabularnewline
112 & 373.7 & 333.738541004035 & 39.9614589959647 \tabularnewline
113 & 369.8 & 336.760775505577 & 33.0392244944233 \tabularnewline
114 & 366.6 & 337.316218526831 & 29.2837814731694 \tabularnewline
115 & 359.3 & 343.187527360145 & 16.1124726398548 \tabularnewline
116 & 345.8 & 341.800670736168 & 3.99932926383193 \tabularnewline
117 & 326.2 & 334.765829887985 & -8.56582988798458 \tabularnewline
118 & 324.5 & 329.638314299003 & -5.13831429900254 \tabularnewline
119 & 328.1 & 324.237196630644 & 3.86280336935596 \tabularnewline
120 & 327.5 & 318.428085923619 & 9.07191407638127 \tabularnewline
121 & 324.4 & 316.536169443475 & 7.86383055652461 \tabularnewline
122 & 316.5 & 316.421333606345 & 0.078666393655116 \tabularnewline
123 & 310.9 & 310.01391267443 & 0.886087325569849 \tabularnewline
124 & 301.5 & 309.737789346078 & -8.23778934607818 \tabularnewline
125 & 291.7 & 308.201741555992 & -16.5017415559921 \tabularnewline
126 & 290.4 & 308.292053731162 & -17.8920537311616 \tabularnewline
127 & 287.4 & 314.702914345934 & -27.3029143459341 \tabularnewline
128 & 277.7 & 314.041661841849 & -36.3416618418487 \tabularnewline
129 & 281.6 & 308.420818765762 & -26.8208187657618 \tabularnewline
130 & 288 & 308.260900612962 & -20.2609006129616 \tabularnewline
131 & 276 & 303.976096975206 & -27.9760969752058 \tabularnewline
132 & 272.9 & 299.655404975651 & -26.7554049756507 \tabularnewline
133 & 283 & 300.944983482725 & -17.9449834827249 \tabularnewline
134 & 283.3 & 307.044295749283 & -23.7442957492825 \tabularnewline
135 & 276.8 & 300.32058584203 & -23.5205858420304 \tabularnewline
136 & 284.5 & 304.267850596125 & -19.7678505961252 \tabularnewline
137 & 282.7 & 304.201616279666 & -21.5016162796659 \tabularnewline
138 & 281.2 & 303.60353480263 & -22.4035348026304 \tabularnewline
139 & 287.4 & 309.698106442066 & -22.2981064420655 \tabularnewline
140 & 283.1 & 308.515907390365 & -25.4159073903655 \tabularnewline
141 & 284 & 302.07643402517 & -18.0764340251701 \tabularnewline
142 & 285.5 & 301.693253066249 & -16.1932530662493 \tabularnewline
143 & 289.2 & 302.394652098519 & -13.1946520985188 \tabularnewline
144 & 292.5 & 297.255329809855 & -4.75532980985499 \tabularnewline
145 & 296.4 & 298.451882147712 & -2.05188214771234 \tabularnewline
146 & 305.2 & 295.341603661798 & 9.85839633820196 \tabularnewline
147 & 303.9 & 290.124917695859 & 13.7750823041405 \tabularnewline
148 & 311.5 & 304.565534337619 & 6.93446566238081 \tabularnewline
149 & 316.3 & 302.582960935292 & 13.717039064708 \tabularnewline
150 & 316.7 & 306.598977451414 & 10.1010225485858 \tabularnewline
151 & 322.5 & 314.46104630597 & 8.03895369402986 \tabularnewline
152 & 317.1 & 313.16721585121 & 3.93278414879011 \tabularnewline
153 & 309.8 & 306.597505849111 & 3.20249415088916 \tabularnewline
154 & 303.8 & 302.977014201442 & 0.822985798557611 \tabularnewline
155 & 290.3 & 296.571213905542 & -6.27121390554152 \tabularnewline
156 & 293.7 & 291.05978694001 & 2.64021305998974 \tabularnewline
157 & 291.7 & 288.870186718373 & 2.82981328162716 \tabularnewline
158 & 296.5 & 288.048351995194 & 8.45164800480599 \tabularnewline
159 & 289.1 & 288.171368142305 & 0.928631857695244 \tabularnewline
160 & 288.5 & 294.686155166786 & -6.18615516678567 \tabularnewline
161 & 293.8 & 292.703581764459 & 1.0964182355415 \tabularnewline
162 & 297.7 & 292.19852645664 & 5.50147354336006 \tabularnewline
163 & 305.4 & 298.274492862232 & 7.12550713776835 \tabularnewline
164 & 302.7 & 296.980662407471 & 5.71933759252858 \tabularnewline
165 & 302.5 & 304.99745573858 & -2.49745573858037 \tabularnewline
166 & 303 & 300.53972856796 & 2.46027143204007 \tabularnewline
167 & 294.5 & 290.561723374131 & 3.93827662586942 \tabularnewline
168 & 294.1 & 285.310769682407 & 8.78923031759347 \tabularnewline
169 & 294.5 & 283.995615451408 & 10.5043845485921 \tabularnewline
170 & 297.1 & 284.383120928049 & 12.7168790719514 \tabularnewline
171 & 289.4 & 283.129349770749 & 6.27065022925053 \tabularnewline
172 & 292.4 & 292.360500936363 & 0.0394990636365107 \tabularnewline
173 & 287.9 & 291.364004927735 & -3.46400492773534 \tabularnewline
174 & 286.6 & 291.696185142869 & -5.09618514286872 \tabularnewline
175 & 280.5 & 298.479150434509 & -17.9791504345088 \tabularnewline
176 & 272.4 & 297.79929269658 & -25.39929269658 \tabularnewline
177 & 269.2 & 291.322608863698 & -22.1226088636978 \tabularnewline
178 & 270.6 & 291.683637258512 & -21.0836372585121 \tabularnewline
179 & 267.3 & 283.194050772153 & -15.894050772153 \tabularnewline
180 & 262.5 & 278.352412224983 & -15.8524122249833 \tabularnewline
181 & 266.8 & 279.418727925937 & -12.618727925937 \tabularnewline
182 & 268.8 & 274.950267369456 & -6.15026736945613 \tabularnewline
183 & 263.1 & 267.92887372071 & -4.82887372070991 \tabularnewline
184 & 261.2 & 269.122563865985 & -7.92256386598483 \tabularnewline
185 & 266 & 269.074934783369 & -3.07493478336893 \tabularnewline
186 & 262.5 & 270.337376690671 & -7.83737669067122 \tabularnewline
187 & 265.2 & 272.115534078443 & -6.91553407844269 \tabularnewline
188 & 261.3 & 267.379735362658 & -6.07973536265759 \tabularnewline
189 & 253.7 & 262.651943511053 & -8.95194351105292 \tabularnewline
190 & 249.2 & 258.67795242036 & -9.47795242036028 \tabularnewline
191 & 239.1 & 250.318602570905 & -11.2186025709048 \tabularnewline
192 & 236.4 & 246.797935626615 & -10.3979356266149 \tabularnewline
193 & 235.2 & 246.9339896354 & -11.7339896353997 \tabularnewline
194 & 245.2 & 248.568045779547 & -3.36804577954668 \tabularnewline
195 & 246.2 & 244.13277963503 & 2.06722036497004 \tabularnewline
196 & 247.7 & 251.410381247089 & -3.71038124708933 \tabularnewline
197 & 251.4 & 253.186065081124 & -1.78606508112442 \tabularnewline
198 & 253.3 & 254.374086053053 & -1.0740860530532 \tabularnewline
199 & 254.8 & 262.291970609139 & -7.49197060913928 \tabularnewline
200 & 250 & 275.528827786057 & -25.528827786057 \tabularnewline
201 & 249.3 & 270.819641168296 & -21.5196411682957 \tabularnewline
202 & 241.5 & 266.864255311446 & -25.3642553114464 \tabularnewline
203 & 243.3 & 258.988641541919 & -15.6886415419187 \tabularnewline
204 & 248 & 255.040054219231 & -7.04005421923117 \tabularnewline
205 & 253 & 255.231923929546 & -2.23192392954608 \tabularnewline
206 & 252.9 & 270.503616480889 & -17.6036164808889 \tabularnewline
207 & 251.5 & 303.502080829248 & -52.002080829248 \tabularnewline
208 & 251.6 & 303.746904048511 & -52.1469040485106 \tabularnewline
209 & 253.5 & 303.345775522871 & -49.8457755228705 \tabularnewline
210 & 259.8 & 307.6222653128 & -47.8222653128 \tabularnewline
211 & 334.1 & 314.088941629103 & 20.0110583708974 \tabularnewline
212 & 448 & 352.052154583869 & 95.9478454161308 \tabularnewline
213 & 445.8 & 374.78568788509 & 71.0143121149102 \tabularnewline
214 & 445 & 376.709555922748 & 68.2904440772521 \tabularnewline
215 & 448.2 & 368.852547387064 & 79.3474526129364 \tabularnewline
216 & 438.2 & 358.782838129905 & 79.4171618700952 \tabularnewline
217 & 439.8 & 356.183922763713 & 83.616077236287 \tabularnewline
218 & 423.4 & 357.036559086438 & 66.3634409135617 \tabularnewline
219 & 410.8 & 349.605850293138 & 61.1941497068623 \tabularnewline
220 & 408.4 & 350.576277632292 & 57.8237223677079 \tabularnewline
221 & 406.7 & 357.375374604039 & 49.3246253959608 \tabularnewline
222 & 405.9 & 353.577192905943 & 52.3228070940573 \tabularnewline
223 & 402.7 & 358.778713320896 & 43.9212866791043 \tabularnewline
224 & 405.1 & 353.466152355966 & 51.6338476440341 \tabularnewline
225 & 399.6 & 347.045284224614 & 52.5547157753862 \tabularnewline
226 & 386.5 & 338.066485230053 & 48.4335147699474 \tabularnewline
227 & 381.4 & 330.93508081426 & 50.46491918574 \tabularnewline
228 & 375.2 & 328.288859860609 & 46.9111401393911 \tabularnewline
229 & 357.7 & 317.615273006391 & 40.0847269936087 \tabularnewline
230 & 359 & 324.979741174299 & 34.0202588257014 \tabularnewline
231 & 355 & 320.581685497469 & 34.4183145025314 \tabularnewline
232 & 352.7 & 317.533382326453 & 35.1666176735466 \tabularnewline
233 & 344.4 & 320.09048598191 & 24.3095140180896 \tabularnewline
234 & 343.8 & 320.422666197044 & 23.3773338029562 \tabularnewline
235 & 338 & 334.294225583011 & 3.7057744169893 \tabularnewline
236 & 339 & 365.16884444345 & -26.1688444434504 \tabularnewline
237 & 333.3 & 365.073755818847 & -31.7737558188467 \tabularnewline
238 & 334.4 & 366.848781985758 & -32.4487819857578 \tabularnewline
239 & 328.3 & 359.568535699218 & -31.2685356992182 \tabularnewline
240 & 330.7 & 342.652100387696 & -11.9521003876964 \tabularnewline
241 & 330 & 334.769298609985 & -4.76929860998543 \tabularnewline
242 & 331.6 & 372.627745047189 & -41.0277450471887 \tabularnewline
243 & 351.2 & 450.725296231895 & -99.5252962318951 \tabularnewline
244 & 389.4 & 434.634724136672 & -45.2347241366722 \tabularnewline
245 & 410.9 & 481.397863403994 & -70.4978634039944 \tabularnewline
246 & 442.8 & 483.99988214802 & -41.1998821480198 \tabularnewline
247 & 462.8 & 419.841090794861 & 42.958909205139 \tabularnewline
248 & 466.9 & 408.891143975388 & 58.0088560246122 \tabularnewline
249 & 461.7 & 396.200312038817 & 65.4996879611825 \tabularnewline
250 & 439.2 & 382.607415051099 & 56.5925849489014 \tabularnewline
251 & 430.3 & 366.005946609027 & 64.2940533909732 \tabularnewline
252 & 416.1 & 377.239230102535 & 38.8607698974646 \tabularnewline
253 & 402.5 & 377.896230658935 & 24.6037693410653 \tabularnewline
254 & 397.3 & 393.484212185615 & 3.81578781438499 \tabularnewline
255 & 403.3 & 361.90390986361 & 41.3960901363897 \tabularnewline
256 & 395.9 & 367.451224728236 & 28.4487752717644 \tabularnewline
257 & 387.8 & 347.235522159398 & 40.5644778406017 \tabularnewline
258 & 378.6 & 346.804887786953 & 31.7951122130468 \tabularnewline
259 & 377.1 & 357.494952185703 & 19.6050478142974 \tabularnewline
260 & 370.4 & 356.703463044714 & 13.6965369552864 \tabularnewline
261 & 362 & 337.351957392214 & 24.6480426077859 \tabularnewline
262 & 350.3 & 331.368601046437 & 18.9313989535634 \tabularnewline
263 & 348.2 & 334.116575801478 & 14.0834241985224 \tabularnewline
264 & 344.6 & 333.647167207502 & 10.9528327924984 \tabularnewline
265 & 343.5 & 332.443644379563 & 11.0563556204368 \tabularnewline
266 & 342.8 & 329.556628699769 & 13.2433713002305 \tabularnewline
267 & 347.6 & 328.172620905567 & 19.4273790944333 \tabularnewline
268 & 346.6 & 327.840681875685 & 18.7593181243154 \tabularnewline
269 & 349.5 & 325.969739876418 & 23.5302601235823 \tabularnewline
270 & 342.1 & 328.571758620443 & 13.5282413795568 \tabularnewline
271 & 342 & 326.312580264202 & 15.6874197357983 \tabularnewline
272 & 342.8 & 323.065200255887 & 19.7347997441132 \tabularnewline
273 & 339.3 & 311.565103285293 & 27.7348967147073 \tabularnewline
274 & 348.2 & 308.577189588299 & 39.6228104117009 \tabularnewline
275 & 333.7 & 317.669549083932 & 16.0304509160682 \tabularnewline
276 & 334.7 & 337.944976225322 & -3.24497622532189 \tabularnewline
277 & 354 & 321.801450621151 & 32.1985493788488 \tabularnewline
278 & 367.7 & 314.858493963501 & 52.8415060364988 \tabularnewline
279 & 363.3 & 313.325644298551 & 49.9743557014487 \tabularnewline
280 & 358.4 & 307.988897364801 & 50.4111026351993 \tabularnewline
281 & 353.1 & 307.011006590016 & 46.0889934099841 \tabularnewline
282 & 343.1 & 299.473172889401 & 43.6268271105995 \tabularnewline
283 & 344.6 & 307.725951654667 & 36.8740483453326 \tabularnewline
284 & 344.4 & 301.799417972906 & 42.6005820270938 \tabularnewline
285 & 333.9 & 296.550679573687 & 37.349320426313 \tabularnewline
286 & 331.7 & 295.739578236369 & 35.9604217636315 \tabularnewline
287 & 324.3 & 290.822196647938 & 33.4778033520622 \tabularnewline
288 & 321.2 & 285.515427254684 & 35.6845727453163 \tabularnewline
289 & 322.4 & 280.53504195654 & 41.8649580434603 \tabularnewline
290 & 321.7 & 271.266431068467 & 50.4335689315326 \tabularnewline
291 & 320.5 & 268.0963208253 & 52.4036791746996 \tabularnewline
292 & 312.8 & 276.471631234119 & 36.3283687658811 \tabularnewline
293 & 309.7 & 284.907988784083 & 24.7920112159167 \tabularnewline
294 & 315.6 & 267.565196848008 & 48.0348031519921 \tabularnewline
295 & 309.7 & 275.687738976371 & 34.0122610236288 \tabularnewline
296 & 304.6 & 278.338218096407 & 26.261781903593 \tabularnewline
297 & 302.5 & 276.326790385935 & 26.1732096140645 \tabularnewline
298 & 301.5 & 262.492025358253 & 39.0079746417473 \tabularnewline
299 & 298.8 & 260.700323055509 & 38.0996769444905 \tabularnewline
300 & 291.3 & 256.491262459015 & 34.8087375409854 \tabularnewline
301 & 293.6 & 261.520492968608 & 32.0795070313923 \tabularnewline
302 & 294.6 & 261.31263096226 & 33.2873690377397 \tabularnewline
303 & 285.9 & 267.370716705409 & 18.5292832945914 \tabularnewline
304 & 297.6 & 275.504159074263 & 22.0958409257367 \tabularnewline
305 & 301.1 & 265.614361288501 & 35.4856387114993 \tabularnewline
306 & 293.8 & 263.285993064031 & 30.5140069359689 \tabularnewline
307 & 297.7 & 259.277922726512 & 38.4220772734879 \tabularnewline
308 & 292.9 & 257.351514321077 & 35.5484856789229 \tabularnewline
309 & 292.1 & 263.768257541656 & 28.3317424583445 \tabularnewline
310 & 287.2 & 260.836159546192 & 26.3638404538079 \tabularnewline
311 & 288.2 & 259.732850895654 & 28.4671491043461 \tabularnewline
312 & 283.8 & 243.988545316265 & 39.8114546837352 \tabularnewline
313 & 299.9 & 252.906269699124 & 46.9937303008761 \tabularnewline
314 & 292.4 & 252.865854797367 & 39.5341452026331 \tabularnewline
315 & 293.3 & 243.314149345921 & 49.9858506540787 \tabularnewline
316 & 300.8 & 250.573145724137 & 50.2268542758627 \tabularnewline
317 & 293.7 & 254.544247151691 & 39.155752848309 \tabularnewline
318 & 293.1 & 250.653039284378 & 42.4469607156223 \tabularnewline
319 & 294.4 & 266.906068602297 & 27.493931397703 \tabularnewline
320 & 292.1 & 262.951689707934 & 29.1483102920663 \tabularnewline
321 & 291.9 & 260.140236942197 & 31.7597630578031 \tabularnewline
322 & 282.5 & 254.956905651685 & 27.5430943483153 \tabularnewline
323 & 277.9 & 249.146472838772 & 28.753527161228 \tabularnewline
324 & 287.5 & 249.439878832374 & 38.0601211676255 \tabularnewline
325 & 289.2 & 262.376333725403 & 26.8236662745969 \tabularnewline
326 & 285.6 & 265.424387641647 & 20.1756123583532 \tabularnewline
327 & 293.2 & 266.328823610179 & 26.8711763898205 \tabularnewline
328 & 290.8 & 264.973596718912 & 25.8264032810884 \tabularnewline
329 & 283.1 & 269.074934783369 & 14.0250652166311 \tabularnewline
330 & 275 & 281.649358867445 & -6.64935886744481 \tabularnewline
331 & 287.8 & 274.813292985732 & 12.9867070142676 \tabularnewline
332 & 287.8 & 278.13356052413 & 9.66643947587014 \tabularnewline
333 & 287.4 & 287.099220781251 & 0.300779218748873 \tabularnewline
334 & 284 & 282.027520893799 & 1.97247910620081 \tabularnewline
335 & 277.8 & 289.947750657299 & -12.1477506572991 \tabularnewline
336 & 277.6 & 305.385816999411 & -27.785816999411 \tabularnewline
337 & 304.9 & 307.884735706305 & -2.98473570630478 \tabularnewline
338 & 294 & 335.863802972675 & -41.8638029726745 \tabularnewline
339 & 300.9 & 358.257284030308 & -57.3572840303083 \tabularnewline
340 & 324 & 346.81802039593 & -22.8180203959298 \tabularnewline
341 & 332.9 & 342.621424166241 & -9.7214241662407 \tabularnewline
342 & 341.6 & 332.367226324492 & 9.23277367550779 \tabularnewline
343 & 333.4 & 322.963638172394 & 10.4363618276063 \tabularnewline
344 & 348.2 & 324.34896139108 & 23.8510386089201 \tabularnewline
345 & 344.7 & 311.806971325257 & 32.8930286747434 \tabularnewline
346 & 344.7 & 327.052186794773 & 17.6478132052269 \tabularnewline
347 & 329.3 & 326.69308749797 & 2.60691250203011 \tabularnewline
348 & 323.5 & 324.344550285813 & -0.84455028581282 \tabularnewline
349 & 323.2 & 353.895479000978 & -30.6954790009776 \tabularnewline
350 & 317.4 & 338.915061322988 & -21.5150613229884 \tabularnewline
351 & 330.1 & 324.098074693867 & 6.00192530613304 \tabularnewline
352 & 329.2 & 328.69652263248 & 0.50347736752002 \tabularnewline
353 & 334.9 & 323.402217606032 & 11.4977823939684 \tabularnewline
354 & 315.8 & 312.887546490476 & 2.91245350952416 \tabularnewline
355 & 315.4 & 324.04274173531 & -8.64274173530965 \tabularnewline
356 & 319.6 & 336.944704703047 & -17.3447047030465 \tabularnewline
357 & 317.3 & 326.356264190778 & -9.05626419077788 \tabularnewline
358 & 313.8 & 320.782222989555 & -6.98222298955477 \tabularnewline
359 & 315.8 & 336.088730588876 & -20.2887305888756 \tabularnewline
360 & 311.3 & 348.084828669963 & -36.7848286699627 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=185533&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]321.429345944284[/C][C]-66.4293459442836[/C][/ROW]
[ROW][C]2[/C][C]280.2[/C][C]323.956453312913[/C][C]-43.756453312913[/C][/ROW]
[ROW][C]3[/C][C]299.9[/C][C]320.042133716011[/C][C]-20.1421337160107[/C][/ROW]
[ROW][C]4[/C][C]339.2[/C][C]322.147480319611[/C][C]17.0525196803889[/C][/ROW]
[ROW][C]5[/C][C]374.2[/C][C]324.555742104321[/C][C]49.644257895679[/C][/ROW]
[ROW][C]6[/C][C]393.5[/C][C]332.869567638263[/C][C]60.6304323617366[/C][/ROW]
[ROW][C]7[/C][C]389.2[/C][C]341.661898184988[/C][C]47.5381018150118[/C][/ROW]
[ROW][C]8[/C][C]381.7[/C][C]342.433248686843[/C][C]39.266751313157[/C][/ROW]
[ROW][C]9[/C][C]375.2[/C][C]337.351957392214[/C][C]37.8480426077859[/C][/ROW]
[ROW][C]10[/C][C]369[/C][C]333.284940132305[/C][C]35.7150598676955[/C][/ROW]
[ROW][C]11[/C][C]357.4[/C][C]324.944195516692[/C][C]32.4558044833076[/C][/ROW]
[ROW][C]12[/C][C]352.1[/C][C]321.367712870872[/C][C]30.7322871291276[/C][/ROW]
[ROW][C]13[/C][C]346.5[/C][C]321.038636033573[/C][C]25.4613639664273[/C][/ROW]
[ROW][C]14[/C][C]342.9[/C][C]323.100612556117[/C][C]19.7993874438825[/C][/ROW]
[ROW][C]15[/C][C]340.3[/C][C]318.758372580818[/C][C]21.5416274191824[/C][/ROW]
[ROW][C]16[/C][C]328.3[/C][C]320.473009273707[/C][C]7.82699072629296[/C][/ROW]
[ROW][C]17[/C][C]322.9[/C][C]320.964931972549[/C][C]1.93506802745086[/C][/ROW]
[ROW][C]18[/C][C]314.3[/C][C]322.82274136284[/C][C]-8.52274136283947[/C][/ROW]
[ROW][C]19[/C][C]308.9[/C][C]331.075520128106[/C][C]-22.1755201281064[/C][/ROW]
[ROW][C]20[/C][C]294[/C][C]331.958502033021[/C][C]-37.9585020330213[/C][/ROW]
[ROW][C]21[/C][C]285.6[/C][C]326.914421206079[/C][C]-41.3144212060792[/C][/ROW]
[ROW][C]22[/C][C]281.2[/C][C]321.917142254001[/C][C]-40.7171422540008[/C][/ROW]
[ROW][C]23[/C][C]280.3[/C][C]312.92521445387[/C][C]-32.6252144538705[/C][/ROW]
[ROW][C]24[/C][C]278.8[/C][C]309.032442832713[/C][C]-30.232442832713[/C][/ROW]
[ROW][C]25[/C][C]274.5[/C][C]308.777786930787[/C][C]-34.2777869307869[/C][/ROW]
[ROW][C]26[/C][C]270.4[/C][C]308.290846416789[/C][C]-37.8908464167889[/C][/ROW]
[ROW][C]27[/C][C]263.4[/C][C]287.259711683979[/C][C]-23.8597116839793[/C][/ROW]
[ROW][C]28[/C][C]259.9[/C][C]288.378980893881[/C][C]-28.4789808938807[/C][/ROW]
[ROW][C]29[/C][C]258[/C][C]291.94076717688[/C][C]-33.94076717688[/C][/ROW]
[ROW][C]30[/C][C]262.7[/C][C]301.668590482919[/C][C]-38.9685904829192[/C][/ROW]
[ROW][C]31[/C][C]284.7[/C][C]313.958704992199[/C][C]-29.258704992199[/C][/ROW]
[ROW][C]32[/C][C]311.3[/C][C]319.158101148778[/C][C]-7.85810114877753[/C][/ROW]
[ROW][C]33[/C][C]322.1[/C][C]322.504980785199[/C][C]-0.404980785198686[/C][/ROW]
[ROW][C]34[/C][C]327[/C][C]322.363667866242[/C][C]4.63633213375813[/C][/ROW]
[ROW][C]35[/C][C]331.3[/C][C]317.371865342438[/C][C]13.9281346575623[/C][/ROW]
[ROW][C]36[/C][C]333.3[/C][C]316.307089265474[/C][C]16.9929107345263[/C][/ROW]
[ROW][C]37[/C][C]321.4[/C][C]317.652483474078[/C][C]3.74751652592196[/C][/ROW]
[ROW][C]38[/C][C]327[/C][C]318.337672692213[/C][C]8.66232730778723[/C][/ROW]
[ROW][C]39[/C][C]320[/C][C]313.604722806202[/C][C]6.39527719379801[/C][/ROW]
[ROW][C]40[/C][C]314.7[/C][C]321.254429095129[/C][C]-6.55442909512893[/C][/ROW]
[ROW][C]41[/C][C]316.7[/C][C]320.295143554188[/C][C]-3.59514355418753[/C][/ROW]
[ROW][C]42[/C][C]314.4[/C][C]320.552902833947[/C][C]-6.15290283394744[/C][/ROW]
[ROW][C]43[/C][C]321.3[/C][C]328.024261777792[/C][C]-6.72426177779243[/C][/ROW]
[ROW][C]44[/C][C]318.2[/C][C]327.883955821322[/C][C]-9.68395582132166[/C][/ROW]
[ROW][C]45[/C][C]307.2[/C][C]322.523586019042[/C][C]-15.3235860190421[/C][/ROW]
[ROW][C]46[/C][C]301.3[/C][C]317.526307066964[/C][C]-16.2263070669637[/C][/ROW]
[ROW][C]47[/C][C]287.5[/C][C]308.069248420749[/C][C]-20.5692484207489[/C][/ROW]
[ROW][C]48[/C][C]277.7[/C][C]310.78133481399[/C][C]-33.0813348139905[/C][/ROW]
[ROW][C]49[/C][C]274.4[/C][C]311.029020225836[/C][C]-36.6290202258356[/C][/ROW]
[ROW][C]50[/C][C]258.8[/C][C]311.71420944397[/C][C]-52.9142094439703[/C][/ROW]
[ROW][C]51[/C][C]253.3[/C][C]306.627760114935[/C][C]-53.3277601149354[/C][/ROW]
[ROW][C]52[/C][C]251[/C][C]307.70981885715[/C][C]-56.70981885715[/C][/ROW]
[ROW][C]53[/C][C]248.4[/C][C]307.42032173457[/C][C]-59.0203217345702[/C][/ROW]
[ROW][C]54[/C][C]249.5[/C][C]308.124606626571[/C][C]-58.6246066265712[/C][/ROW]
[ROW][C]55[/C][C]246.1[/C][C]315.205255659705[/C][C]-69.1052556597053[/C][/ROW]
[ROW][C]56[/C][C]244.5[/C][C]314.823081663271[/C][C]-70.3230816632705[/C][/ROW]
[ROW][C]57[/C][C]243.6[/C][C]309.313869990244[/C][C]-65.713869990244[/C][/ROW]
[ROW][C]58[/C][C]244[/C][C]313.433155621421[/C][C]-69.4331556214206[/C][/ROW]
[ROW][C]59[/C][C]240.8[/C][C]310.599560223448[/C][C]-69.7995602234483[/C][/ROW]
[ROW][C]60[/C][C]249.8[/C][C]306.650972900761[/C][C]-56.8509729007607[/C][/ROW]
[ROW][C]61[/C][C]248[/C][C]305.559081475883[/C][C]-57.5590814758826[/C][/ROW]
[ROW][C]62[/C][C]259.4[/C][C]306.281481161704[/C][C]-46.8814811617041[/C][/ROW]
[ROW][C]63[/C][C]260.5[/C][C]308.972019579201[/C][C]-48.472019579201[/C][/ROW]
[ROW][C]64[/C][C]260.8[/C][C]311.282023755079[/C][C]-50.4820237550785[/C][/ROW]
[ROW][C]65[/C][C]261.3[/C][C]310.490185318728[/C][C]-49.1901853187275[/C][/ROW]
[ROW][C]66[/C][C]259.5[/C][C]310.896786469234[/C][C]-51.3967864692344[/C][/ROW]
[ROW][C]67[/C][C]256.6[/C][C]318.070461671585[/C][C]-61.4704616715854[/C][/ROW]
[ROW][C]68[/C][C]257.9[/C][C]317.502235336717[/C][C]-59.602235336717[/C][/ROW]
[ROW][C]69[/C][C]256.5[/C][C]312.086049832907[/C][C]-55.5860498329073[/C][/ROW]
[ROW][C]70[/C][C]254.2[/C][C]320.242671208097[/C][C]-66.0426712080969[/C][/ROW]
[ROW][C]71[/C][C]253.3[/C][C]309.799535168183[/C][C]-56.499535168183[/C][/ROW]
[ROW][C]72[/C][C]253.8[/C][C]304.343923904182[/C][C]-50.5439239041819[/C][/ROW]
[ROW][C]73[/C][C]255.5[/C][C]303.084585374713[/C][C]-47.5845853747133[/C][/ROW]
[ROW][C]74[/C][C]257.1[/C][C]303.267433279077[/C][C]-46.1674332790769[/C][/ROW]
[ROW][C]75[/C][C]257.3[/C][C]296.990248984066[/C][C]-39.6902489840658[/C][/ROW]
[ROW][C]76[/C][C]253.2[/C][C]302.556169082534[/C][C]-49.3561690825344[/C][/ROW]
[ROW][C]77[/C][C]252.8[/C][C]303.06669701522[/C][C]-50.2666970152199[/C][/ROW]
[ROW][C]78[/C][C]252[/C][C]302.970956851956[/C][C]-50.9709568519556[/C][/ROW]
[ROW][C]79[/C][C]250.7[/C][C]309.288791297511[/C][C]-58.5887912975112[/C][/ROW]
[ROW][C]80[/C][C]252.2[/C][C]307.994960842751[/C][C]-55.794960842751[/C][/ROW]
[ROW][C]81[/C][C]250[/C][C]309.146422885654[/C][C]-59.1464228856536[/C][/ROW]
[ROW][C]82[/C][C]251[/C][C]307.181797050046[/C][C]-56.1817970500457[/C][/ROW]
[ROW][C]83[/C][C]253.4[/C][C]299.138736175928[/C][C]-45.7387361759277[/C][/ROW]
[ROW][C]84[/C][C]251.2[/C][C]293.943598185734[/C][C]-42.7435981857338[/C][/ROW]
[ROW][C]85[/C][C]255.6[/C][C]294.395941169856[/C][C]-38.795941169856[/C][/ROW]
[ROW][C]86[/C][C]261.1[/C][C]294.262500098882[/C][C]-33.1625000988821[/C][/ROW]
[ROW][C]87[/C][C]258.9[/C][C]288.952787963727[/C][C]-30.0527879637267[/C][/ROW]
[ROW][C]88[/C][C]259.9[/C][C]291.318607841134[/C][C]-31.4186078411343[/C][/ROW]
[ROW][C]89[/C][C]261.2[/C][C]291.847741007663[/C][C]-30.6477410076632[/C][/ROW]
[ROW][C]90[/C][C]264.7[/C][C]293.128788148809[/C][C]-28.4287881488088[/C][/ROW]
[ROW][C]91[/C][C]267.1[/C][C]299.018702215967[/C][C]-31.9187022159667[/C][/ROW]
[ROW][C]92[/C][C]266.4[/C][C]303.287836680376[/C][C]-36.8878366803765[/C][/ROW]
[ROW][C]93[/C][C]267.7[/C][C]300.606620551543[/C][C]-32.9066205515433[/C][/ROW]
[ROW][C]94[/C][C]268.6[/C][C]295.03257935032[/C][C]-26.4325793503201[/C][/ROW]
[ROW][C]95[/C][C]267.5[/C][C]286.26391435631[/C][C]-18.7639143563103[/C][/ROW]
[ROW][C]96[/C][C]268.5[/C][C]285.21774351319[/C][C]-16.7177435131897[/C][/ROW]
[ROW][C]97[/C][C]268.5[/C][C]283.604905540697[/C][C]-15.104905540697[/C][/ROW]
[ROW][C]98[/C][C]270.5[/C][C]282.894702220578[/C][C]-12.3947022205784[/C][/ROW]
[ROW][C]99[/C][C]270.9[/C][C]281.994430506303[/C][C]-11.0944305063034[/C][/ROW]
[ROW][C]100[/C][C]270.1[/C][C]278.480996489204[/C][C]-8.38099648920374[/C][/ROW]
[ROW][C]101[/C][C]269.3[/C][C]274.451847364105[/C][C]-5.15184736410504[/C][/ROW]
[ROW][C]102[/C][C]269.8[/C][C]280.067913990758[/C][C]-10.2679139907577[/C][/ROW]
[ROW][C]103[/C][C]270.1[/C][C]285.15780300265[/C][C]-15.0578030026504[/C][/ROW]
[ROW][C]104[/C][C]264.9[/C][C]283.529078338709[/C][C]-18.6290783387094[/C][/ROW]
[ROW][C]105[/C][C]263.7[/C][C]283.229332141829[/C][C]-19.5293321418286[/C][/ROW]
[ROW][C]106[/C][C]264.8[/C][C]276.818055417653[/C][C]-12.0180554176534[/C][/ROW]
[ROW][C]107[/C][C]263.7[/C][C]275.565904896368[/C][C]-11.8659048963682[/C][/ROW]
[ROW][C]108[/C][C]255.9[/C][C]273.049920579621[/C][C]-17.1499205796207[/C][/ROW]
[ROW][C]109[/C][C]276.2[/C][C]284.516561999022[/C][C]-8.31656199902247[/C][/ROW]
[ROW][C]110[/C][C]360.1[/C][C]304.941904324981[/C][C]55.1580956750192[/C][/ROW]
[ROW][C]111[/C][C]380.5[/C][C]328.693567453181[/C][C]51.8064325468188[/C][/ROW]
[ROW][C]112[/C][C]373.7[/C][C]333.738541004035[/C][C]39.9614589959647[/C][/ROW]
[ROW][C]113[/C][C]369.8[/C][C]336.760775505577[/C][C]33.0392244944233[/C][/ROW]
[ROW][C]114[/C][C]366.6[/C][C]337.316218526831[/C][C]29.2837814731694[/C][/ROW]
[ROW][C]115[/C][C]359.3[/C][C]343.187527360145[/C][C]16.1124726398548[/C][/ROW]
[ROW][C]116[/C][C]345.8[/C][C]341.800670736168[/C][C]3.99932926383193[/C][/ROW]
[ROW][C]117[/C][C]326.2[/C][C]334.765829887985[/C][C]-8.56582988798458[/C][/ROW]
[ROW][C]118[/C][C]324.5[/C][C]329.638314299003[/C][C]-5.13831429900254[/C][/ROW]
[ROW][C]119[/C][C]328.1[/C][C]324.237196630644[/C][C]3.86280336935596[/C][/ROW]
[ROW][C]120[/C][C]327.5[/C][C]318.428085923619[/C][C]9.07191407638127[/C][/ROW]
[ROW][C]121[/C][C]324.4[/C][C]316.536169443475[/C][C]7.86383055652461[/C][/ROW]
[ROW][C]122[/C][C]316.5[/C][C]316.421333606345[/C][C]0.078666393655116[/C][/ROW]
[ROW][C]123[/C][C]310.9[/C][C]310.01391267443[/C][C]0.886087325569849[/C][/ROW]
[ROW][C]124[/C][C]301.5[/C][C]309.737789346078[/C][C]-8.23778934607818[/C][/ROW]
[ROW][C]125[/C][C]291.7[/C][C]308.201741555992[/C][C]-16.5017415559921[/C][/ROW]
[ROW][C]126[/C][C]290.4[/C][C]308.292053731162[/C][C]-17.8920537311616[/C][/ROW]
[ROW][C]127[/C][C]287.4[/C][C]314.702914345934[/C][C]-27.3029143459341[/C][/ROW]
[ROW][C]128[/C][C]277.7[/C][C]314.041661841849[/C][C]-36.3416618418487[/C][/ROW]
[ROW][C]129[/C][C]281.6[/C][C]308.420818765762[/C][C]-26.8208187657618[/C][/ROW]
[ROW][C]130[/C][C]288[/C][C]308.260900612962[/C][C]-20.2609006129616[/C][/ROW]
[ROW][C]131[/C][C]276[/C][C]303.976096975206[/C][C]-27.9760969752058[/C][/ROW]
[ROW][C]132[/C][C]272.9[/C][C]299.655404975651[/C][C]-26.7554049756507[/C][/ROW]
[ROW][C]133[/C][C]283[/C][C]300.944983482725[/C][C]-17.9449834827249[/C][/ROW]
[ROW][C]134[/C][C]283.3[/C][C]307.044295749283[/C][C]-23.7442957492825[/C][/ROW]
[ROW][C]135[/C][C]276.8[/C][C]300.32058584203[/C][C]-23.5205858420304[/C][/ROW]
[ROW][C]136[/C][C]284.5[/C][C]304.267850596125[/C][C]-19.7678505961252[/C][/ROW]
[ROW][C]137[/C][C]282.7[/C][C]304.201616279666[/C][C]-21.5016162796659[/C][/ROW]
[ROW][C]138[/C][C]281.2[/C][C]303.60353480263[/C][C]-22.4035348026304[/C][/ROW]
[ROW][C]139[/C][C]287.4[/C][C]309.698106442066[/C][C]-22.2981064420655[/C][/ROW]
[ROW][C]140[/C][C]283.1[/C][C]308.515907390365[/C][C]-25.4159073903655[/C][/ROW]
[ROW][C]141[/C][C]284[/C][C]302.07643402517[/C][C]-18.0764340251701[/C][/ROW]
[ROW][C]142[/C][C]285.5[/C][C]301.693253066249[/C][C]-16.1932530662493[/C][/ROW]
[ROW][C]143[/C][C]289.2[/C][C]302.394652098519[/C][C]-13.1946520985188[/C][/ROW]
[ROW][C]144[/C][C]292.5[/C][C]297.255329809855[/C][C]-4.75532980985499[/C][/ROW]
[ROW][C]145[/C][C]296.4[/C][C]298.451882147712[/C][C]-2.05188214771234[/C][/ROW]
[ROW][C]146[/C][C]305.2[/C][C]295.341603661798[/C][C]9.85839633820196[/C][/ROW]
[ROW][C]147[/C][C]303.9[/C][C]290.124917695859[/C][C]13.7750823041405[/C][/ROW]
[ROW][C]148[/C][C]311.5[/C][C]304.565534337619[/C][C]6.93446566238081[/C][/ROW]
[ROW][C]149[/C][C]316.3[/C][C]302.582960935292[/C][C]13.717039064708[/C][/ROW]
[ROW][C]150[/C][C]316.7[/C][C]306.598977451414[/C][C]10.1010225485858[/C][/ROW]
[ROW][C]151[/C][C]322.5[/C][C]314.46104630597[/C][C]8.03895369402986[/C][/ROW]
[ROW][C]152[/C][C]317.1[/C][C]313.16721585121[/C][C]3.93278414879011[/C][/ROW]
[ROW][C]153[/C][C]309.8[/C][C]306.597505849111[/C][C]3.20249415088916[/C][/ROW]
[ROW][C]154[/C][C]303.8[/C][C]302.977014201442[/C][C]0.822985798557611[/C][/ROW]
[ROW][C]155[/C][C]290.3[/C][C]296.571213905542[/C][C]-6.27121390554152[/C][/ROW]
[ROW][C]156[/C][C]293.7[/C][C]291.05978694001[/C][C]2.64021305998974[/C][/ROW]
[ROW][C]157[/C][C]291.7[/C][C]288.870186718373[/C][C]2.82981328162716[/C][/ROW]
[ROW][C]158[/C][C]296.5[/C][C]288.048351995194[/C][C]8.45164800480599[/C][/ROW]
[ROW][C]159[/C][C]289.1[/C][C]288.171368142305[/C][C]0.928631857695244[/C][/ROW]
[ROW][C]160[/C][C]288.5[/C][C]294.686155166786[/C][C]-6.18615516678567[/C][/ROW]
[ROW][C]161[/C][C]293.8[/C][C]292.703581764459[/C][C]1.0964182355415[/C][/ROW]
[ROW][C]162[/C][C]297.7[/C][C]292.19852645664[/C][C]5.50147354336006[/C][/ROW]
[ROW][C]163[/C][C]305.4[/C][C]298.274492862232[/C][C]7.12550713776835[/C][/ROW]
[ROW][C]164[/C][C]302.7[/C][C]296.980662407471[/C][C]5.71933759252858[/C][/ROW]
[ROW][C]165[/C][C]302.5[/C][C]304.99745573858[/C][C]-2.49745573858037[/C][/ROW]
[ROW][C]166[/C][C]303[/C][C]300.53972856796[/C][C]2.46027143204007[/C][/ROW]
[ROW][C]167[/C][C]294.5[/C][C]290.561723374131[/C][C]3.93827662586942[/C][/ROW]
[ROW][C]168[/C][C]294.1[/C][C]285.310769682407[/C][C]8.78923031759347[/C][/ROW]
[ROW][C]169[/C][C]294.5[/C][C]283.995615451408[/C][C]10.5043845485921[/C][/ROW]
[ROW][C]170[/C][C]297.1[/C][C]284.383120928049[/C][C]12.7168790719514[/C][/ROW]
[ROW][C]171[/C][C]289.4[/C][C]283.129349770749[/C][C]6.27065022925053[/C][/ROW]
[ROW][C]172[/C][C]292.4[/C][C]292.360500936363[/C][C]0.0394990636365107[/C][/ROW]
[ROW][C]173[/C][C]287.9[/C][C]291.364004927735[/C][C]-3.46400492773534[/C][/ROW]
[ROW][C]174[/C][C]286.6[/C][C]291.696185142869[/C][C]-5.09618514286872[/C][/ROW]
[ROW][C]175[/C][C]280.5[/C][C]298.479150434509[/C][C]-17.9791504345088[/C][/ROW]
[ROW][C]176[/C][C]272.4[/C][C]297.79929269658[/C][C]-25.39929269658[/C][/ROW]
[ROW][C]177[/C][C]269.2[/C][C]291.322608863698[/C][C]-22.1226088636978[/C][/ROW]
[ROW][C]178[/C][C]270.6[/C][C]291.683637258512[/C][C]-21.0836372585121[/C][/ROW]
[ROW][C]179[/C][C]267.3[/C][C]283.194050772153[/C][C]-15.894050772153[/C][/ROW]
[ROW][C]180[/C][C]262.5[/C][C]278.352412224983[/C][C]-15.8524122249833[/C][/ROW]
[ROW][C]181[/C][C]266.8[/C][C]279.418727925937[/C][C]-12.618727925937[/C][/ROW]
[ROW][C]182[/C][C]268.8[/C][C]274.950267369456[/C][C]-6.15026736945613[/C][/ROW]
[ROW][C]183[/C][C]263.1[/C][C]267.92887372071[/C][C]-4.82887372070991[/C][/ROW]
[ROW][C]184[/C][C]261.2[/C][C]269.122563865985[/C][C]-7.92256386598483[/C][/ROW]
[ROW][C]185[/C][C]266[/C][C]269.074934783369[/C][C]-3.07493478336893[/C][/ROW]
[ROW][C]186[/C][C]262.5[/C][C]270.337376690671[/C][C]-7.83737669067122[/C][/ROW]
[ROW][C]187[/C][C]265.2[/C][C]272.115534078443[/C][C]-6.91553407844269[/C][/ROW]
[ROW][C]188[/C][C]261.3[/C][C]267.379735362658[/C][C]-6.07973536265759[/C][/ROW]
[ROW][C]189[/C][C]253.7[/C][C]262.651943511053[/C][C]-8.95194351105292[/C][/ROW]
[ROW][C]190[/C][C]249.2[/C][C]258.67795242036[/C][C]-9.47795242036028[/C][/ROW]
[ROW][C]191[/C][C]239.1[/C][C]250.318602570905[/C][C]-11.2186025709048[/C][/ROW]
[ROW][C]192[/C][C]236.4[/C][C]246.797935626615[/C][C]-10.3979356266149[/C][/ROW]
[ROW][C]193[/C][C]235.2[/C][C]246.9339896354[/C][C]-11.7339896353997[/C][/ROW]
[ROW][C]194[/C][C]245.2[/C][C]248.568045779547[/C][C]-3.36804577954668[/C][/ROW]
[ROW][C]195[/C][C]246.2[/C][C]244.13277963503[/C][C]2.06722036497004[/C][/ROW]
[ROW][C]196[/C][C]247.7[/C][C]251.410381247089[/C][C]-3.71038124708933[/C][/ROW]
[ROW][C]197[/C][C]251.4[/C][C]253.186065081124[/C][C]-1.78606508112442[/C][/ROW]
[ROW][C]198[/C][C]253.3[/C][C]254.374086053053[/C][C]-1.0740860530532[/C][/ROW]
[ROW][C]199[/C][C]254.8[/C][C]262.291970609139[/C][C]-7.49197060913928[/C][/ROW]
[ROW][C]200[/C][C]250[/C][C]275.528827786057[/C][C]-25.528827786057[/C][/ROW]
[ROW][C]201[/C][C]249.3[/C][C]270.819641168296[/C][C]-21.5196411682957[/C][/ROW]
[ROW][C]202[/C][C]241.5[/C][C]266.864255311446[/C][C]-25.3642553114464[/C][/ROW]
[ROW][C]203[/C][C]243.3[/C][C]258.988641541919[/C][C]-15.6886415419187[/C][/ROW]
[ROW][C]204[/C][C]248[/C][C]255.040054219231[/C][C]-7.04005421923117[/C][/ROW]
[ROW][C]205[/C][C]253[/C][C]255.231923929546[/C][C]-2.23192392954608[/C][/ROW]
[ROW][C]206[/C][C]252.9[/C][C]270.503616480889[/C][C]-17.6036164808889[/C][/ROW]
[ROW][C]207[/C][C]251.5[/C][C]303.502080829248[/C][C]-52.002080829248[/C][/ROW]
[ROW][C]208[/C][C]251.6[/C][C]303.746904048511[/C][C]-52.1469040485106[/C][/ROW]
[ROW][C]209[/C][C]253.5[/C][C]303.345775522871[/C][C]-49.8457755228705[/C][/ROW]
[ROW][C]210[/C][C]259.8[/C][C]307.6222653128[/C][C]-47.8222653128[/C][/ROW]
[ROW][C]211[/C][C]334.1[/C][C]314.088941629103[/C][C]20.0110583708974[/C][/ROW]
[ROW][C]212[/C][C]448[/C][C]352.052154583869[/C][C]95.9478454161308[/C][/ROW]
[ROW][C]213[/C][C]445.8[/C][C]374.78568788509[/C][C]71.0143121149102[/C][/ROW]
[ROW][C]214[/C][C]445[/C][C]376.709555922748[/C][C]68.2904440772521[/C][/ROW]
[ROW][C]215[/C][C]448.2[/C][C]368.852547387064[/C][C]79.3474526129364[/C][/ROW]
[ROW][C]216[/C][C]438.2[/C][C]358.782838129905[/C][C]79.4171618700952[/C][/ROW]
[ROW][C]217[/C][C]439.8[/C][C]356.183922763713[/C][C]83.616077236287[/C][/ROW]
[ROW][C]218[/C][C]423.4[/C][C]357.036559086438[/C][C]66.3634409135617[/C][/ROW]
[ROW][C]219[/C][C]410.8[/C][C]349.605850293138[/C][C]61.1941497068623[/C][/ROW]
[ROW][C]220[/C][C]408.4[/C][C]350.576277632292[/C][C]57.8237223677079[/C][/ROW]
[ROW][C]221[/C][C]406.7[/C][C]357.375374604039[/C][C]49.3246253959608[/C][/ROW]
[ROW][C]222[/C][C]405.9[/C][C]353.577192905943[/C][C]52.3228070940573[/C][/ROW]
[ROW][C]223[/C][C]402.7[/C][C]358.778713320896[/C][C]43.9212866791043[/C][/ROW]
[ROW][C]224[/C][C]405.1[/C][C]353.466152355966[/C][C]51.6338476440341[/C][/ROW]
[ROW][C]225[/C][C]399.6[/C][C]347.045284224614[/C][C]52.5547157753862[/C][/ROW]
[ROW][C]226[/C][C]386.5[/C][C]338.066485230053[/C][C]48.4335147699474[/C][/ROW]
[ROW][C]227[/C][C]381.4[/C][C]330.93508081426[/C][C]50.46491918574[/C][/ROW]
[ROW][C]228[/C][C]375.2[/C][C]328.288859860609[/C][C]46.9111401393911[/C][/ROW]
[ROW][C]229[/C][C]357.7[/C][C]317.615273006391[/C][C]40.0847269936087[/C][/ROW]
[ROW][C]230[/C][C]359[/C][C]324.979741174299[/C][C]34.0202588257014[/C][/ROW]
[ROW][C]231[/C][C]355[/C][C]320.581685497469[/C][C]34.4183145025314[/C][/ROW]
[ROW][C]232[/C][C]352.7[/C][C]317.533382326453[/C][C]35.1666176735466[/C][/ROW]
[ROW][C]233[/C][C]344.4[/C][C]320.09048598191[/C][C]24.3095140180896[/C][/ROW]
[ROW][C]234[/C][C]343.8[/C][C]320.422666197044[/C][C]23.3773338029562[/C][/ROW]
[ROW][C]235[/C][C]338[/C][C]334.294225583011[/C][C]3.7057744169893[/C][/ROW]
[ROW][C]236[/C][C]339[/C][C]365.16884444345[/C][C]-26.1688444434504[/C][/ROW]
[ROW][C]237[/C][C]333.3[/C][C]365.073755818847[/C][C]-31.7737558188467[/C][/ROW]
[ROW][C]238[/C][C]334.4[/C][C]366.848781985758[/C][C]-32.4487819857578[/C][/ROW]
[ROW][C]239[/C][C]328.3[/C][C]359.568535699218[/C][C]-31.2685356992182[/C][/ROW]
[ROW][C]240[/C][C]330.7[/C][C]342.652100387696[/C][C]-11.9521003876964[/C][/ROW]
[ROW][C]241[/C][C]330[/C][C]334.769298609985[/C][C]-4.76929860998543[/C][/ROW]
[ROW][C]242[/C][C]331.6[/C][C]372.627745047189[/C][C]-41.0277450471887[/C][/ROW]
[ROW][C]243[/C][C]351.2[/C][C]450.725296231895[/C][C]-99.5252962318951[/C][/ROW]
[ROW][C]244[/C][C]389.4[/C][C]434.634724136672[/C][C]-45.2347241366722[/C][/ROW]
[ROW][C]245[/C][C]410.9[/C][C]481.397863403994[/C][C]-70.4978634039944[/C][/ROW]
[ROW][C]246[/C][C]442.8[/C][C]483.99988214802[/C][C]-41.1998821480198[/C][/ROW]
[ROW][C]247[/C][C]462.8[/C][C]419.841090794861[/C][C]42.958909205139[/C][/ROW]
[ROW][C]248[/C][C]466.9[/C][C]408.891143975388[/C][C]58.0088560246122[/C][/ROW]
[ROW][C]249[/C][C]461.7[/C][C]396.200312038817[/C][C]65.4996879611825[/C][/ROW]
[ROW][C]250[/C][C]439.2[/C][C]382.607415051099[/C][C]56.5925849489014[/C][/ROW]
[ROW][C]251[/C][C]430.3[/C][C]366.005946609027[/C][C]64.2940533909732[/C][/ROW]
[ROW][C]252[/C][C]416.1[/C][C]377.239230102535[/C][C]38.8607698974646[/C][/ROW]
[ROW][C]253[/C][C]402.5[/C][C]377.896230658935[/C][C]24.6037693410653[/C][/ROW]
[ROW][C]254[/C][C]397.3[/C][C]393.484212185615[/C][C]3.81578781438499[/C][/ROW]
[ROW][C]255[/C][C]403.3[/C][C]361.90390986361[/C][C]41.3960901363897[/C][/ROW]
[ROW][C]256[/C][C]395.9[/C][C]367.451224728236[/C][C]28.4487752717644[/C][/ROW]
[ROW][C]257[/C][C]387.8[/C][C]347.235522159398[/C][C]40.5644778406017[/C][/ROW]
[ROW][C]258[/C][C]378.6[/C][C]346.804887786953[/C][C]31.7951122130468[/C][/ROW]
[ROW][C]259[/C][C]377.1[/C][C]357.494952185703[/C][C]19.6050478142974[/C][/ROW]
[ROW][C]260[/C][C]370.4[/C][C]356.703463044714[/C][C]13.6965369552864[/C][/ROW]
[ROW][C]261[/C][C]362[/C][C]337.351957392214[/C][C]24.6480426077859[/C][/ROW]
[ROW][C]262[/C][C]350.3[/C][C]331.368601046437[/C][C]18.9313989535634[/C][/ROW]
[ROW][C]263[/C][C]348.2[/C][C]334.116575801478[/C][C]14.0834241985224[/C][/ROW]
[ROW][C]264[/C][C]344.6[/C][C]333.647167207502[/C][C]10.9528327924984[/C][/ROW]
[ROW][C]265[/C][C]343.5[/C][C]332.443644379563[/C][C]11.0563556204368[/C][/ROW]
[ROW][C]266[/C][C]342.8[/C][C]329.556628699769[/C][C]13.2433713002305[/C][/ROW]
[ROW][C]267[/C][C]347.6[/C][C]328.172620905567[/C][C]19.4273790944333[/C][/ROW]
[ROW][C]268[/C][C]346.6[/C][C]327.840681875685[/C][C]18.7593181243154[/C][/ROW]
[ROW][C]269[/C][C]349.5[/C][C]325.969739876418[/C][C]23.5302601235823[/C][/ROW]
[ROW][C]270[/C][C]342.1[/C][C]328.571758620443[/C][C]13.5282413795568[/C][/ROW]
[ROW][C]271[/C][C]342[/C][C]326.312580264202[/C][C]15.6874197357983[/C][/ROW]
[ROW][C]272[/C][C]342.8[/C][C]323.065200255887[/C][C]19.7347997441132[/C][/ROW]
[ROW][C]273[/C][C]339.3[/C][C]311.565103285293[/C][C]27.7348967147073[/C][/ROW]
[ROW][C]274[/C][C]348.2[/C][C]308.577189588299[/C][C]39.6228104117009[/C][/ROW]
[ROW][C]275[/C][C]333.7[/C][C]317.669549083932[/C][C]16.0304509160682[/C][/ROW]
[ROW][C]276[/C][C]334.7[/C][C]337.944976225322[/C][C]-3.24497622532189[/C][/ROW]
[ROW][C]277[/C][C]354[/C][C]321.801450621151[/C][C]32.1985493788488[/C][/ROW]
[ROW][C]278[/C][C]367.7[/C][C]314.858493963501[/C][C]52.8415060364988[/C][/ROW]
[ROW][C]279[/C][C]363.3[/C][C]313.325644298551[/C][C]49.9743557014487[/C][/ROW]
[ROW][C]280[/C][C]358.4[/C][C]307.988897364801[/C][C]50.4111026351993[/C][/ROW]
[ROW][C]281[/C][C]353.1[/C][C]307.011006590016[/C][C]46.0889934099841[/C][/ROW]
[ROW][C]282[/C][C]343.1[/C][C]299.473172889401[/C][C]43.6268271105995[/C][/ROW]
[ROW][C]283[/C][C]344.6[/C][C]307.725951654667[/C][C]36.8740483453326[/C][/ROW]
[ROW][C]284[/C][C]344.4[/C][C]301.799417972906[/C][C]42.6005820270938[/C][/ROW]
[ROW][C]285[/C][C]333.9[/C][C]296.550679573687[/C][C]37.349320426313[/C][/ROW]
[ROW][C]286[/C][C]331.7[/C][C]295.739578236369[/C][C]35.9604217636315[/C][/ROW]
[ROW][C]287[/C][C]324.3[/C][C]290.822196647938[/C][C]33.4778033520622[/C][/ROW]
[ROW][C]288[/C][C]321.2[/C][C]285.515427254684[/C][C]35.6845727453163[/C][/ROW]
[ROW][C]289[/C][C]322.4[/C][C]280.53504195654[/C][C]41.8649580434603[/C][/ROW]
[ROW][C]290[/C][C]321.7[/C][C]271.266431068467[/C][C]50.4335689315326[/C][/ROW]
[ROW][C]291[/C][C]320.5[/C][C]268.0963208253[/C][C]52.4036791746996[/C][/ROW]
[ROW][C]292[/C][C]312.8[/C][C]276.471631234119[/C][C]36.3283687658811[/C][/ROW]
[ROW][C]293[/C][C]309.7[/C][C]284.907988784083[/C][C]24.7920112159167[/C][/ROW]
[ROW][C]294[/C][C]315.6[/C][C]267.565196848008[/C][C]48.0348031519921[/C][/ROW]
[ROW][C]295[/C][C]309.7[/C][C]275.687738976371[/C][C]34.0122610236288[/C][/ROW]
[ROW][C]296[/C][C]304.6[/C][C]278.338218096407[/C][C]26.261781903593[/C][/ROW]
[ROW][C]297[/C][C]302.5[/C][C]276.326790385935[/C][C]26.1732096140645[/C][/ROW]
[ROW][C]298[/C][C]301.5[/C][C]262.492025358253[/C][C]39.0079746417473[/C][/ROW]
[ROW][C]299[/C][C]298.8[/C][C]260.700323055509[/C][C]38.0996769444905[/C][/ROW]
[ROW][C]300[/C][C]291.3[/C][C]256.491262459015[/C][C]34.8087375409854[/C][/ROW]
[ROW][C]301[/C][C]293.6[/C][C]261.520492968608[/C][C]32.0795070313923[/C][/ROW]
[ROW][C]302[/C][C]294.6[/C][C]261.31263096226[/C][C]33.2873690377397[/C][/ROW]
[ROW][C]303[/C][C]285.9[/C][C]267.370716705409[/C][C]18.5292832945914[/C][/ROW]
[ROW][C]304[/C][C]297.6[/C][C]275.504159074263[/C][C]22.0958409257367[/C][/ROW]
[ROW][C]305[/C][C]301.1[/C][C]265.614361288501[/C][C]35.4856387114993[/C][/ROW]
[ROW][C]306[/C][C]293.8[/C][C]263.285993064031[/C][C]30.5140069359689[/C][/ROW]
[ROW][C]307[/C][C]297.7[/C][C]259.277922726512[/C][C]38.4220772734879[/C][/ROW]
[ROW][C]308[/C][C]292.9[/C][C]257.351514321077[/C][C]35.5484856789229[/C][/ROW]
[ROW][C]309[/C][C]292.1[/C][C]263.768257541656[/C][C]28.3317424583445[/C][/ROW]
[ROW][C]310[/C][C]287.2[/C][C]260.836159546192[/C][C]26.3638404538079[/C][/ROW]
[ROW][C]311[/C][C]288.2[/C][C]259.732850895654[/C][C]28.4671491043461[/C][/ROW]
[ROW][C]312[/C][C]283.8[/C][C]243.988545316265[/C][C]39.8114546837352[/C][/ROW]
[ROW][C]313[/C][C]299.9[/C][C]252.906269699124[/C][C]46.9937303008761[/C][/ROW]
[ROW][C]314[/C][C]292.4[/C][C]252.865854797367[/C][C]39.5341452026331[/C][/ROW]
[ROW][C]315[/C][C]293.3[/C][C]243.314149345921[/C][C]49.9858506540787[/C][/ROW]
[ROW][C]316[/C][C]300.8[/C][C]250.573145724137[/C][C]50.2268542758627[/C][/ROW]
[ROW][C]317[/C][C]293.7[/C][C]254.544247151691[/C][C]39.155752848309[/C][/ROW]
[ROW][C]318[/C][C]293.1[/C][C]250.653039284378[/C][C]42.4469607156223[/C][/ROW]
[ROW][C]319[/C][C]294.4[/C][C]266.906068602297[/C][C]27.493931397703[/C][/ROW]
[ROW][C]320[/C][C]292.1[/C][C]262.951689707934[/C][C]29.1483102920663[/C][/ROW]
[ROW][C]321[/C][C]291.9[/C][C]260.140236942197[/C][C]31.7597630578031[/C][/ROW]
[ROW][C]322[/C][C]282.5[/C][C]254.956905651685[/C][C]27.5430943483153[/C][/ROW]
[ROW][C]323[/C][C]277.9[/C][C]249.146472838772[/C][C]28.753527161228[/C][/ROW]
[ROW][C]324[/C][C]287.5[/C][C]249.439878832374[/C][C]38.0601211676255[/C][/ROW]
[ROW][C]325[/C][C]289.2[/C][C]262.376333725403[/C][C]26.8236662745969[/C][/ROW]
[ROW][C]326[/C][C]285.6[/C][C]265.424387641647[/C][C]20.1756123583532[/C][/ROW]
[ROW][C]327[/C][C]293.2[/C][C]266.328823610179[/C][C]26.8711763898205[/C][/ROW]
[ROW][C]328[/C][C]290.8[/C][C]264.973596718912[/C][C]25.8264032810884[/C][/ROW]
[ROW][C]329[/C][C]283.1[/C][C]269.074934783369[/C][C]14.0250652166311[/C][/ROW]
[ROW][C]330[/C][C]275[/C][C]281.649358867445[/C][C]-6.64935886744481[/C][/ROW]
[ROW][C]331[/C][C]287.8[/C][C]274.813292985732[/C][C]12.9867070142676[/C][/ROW]
[ROW][C]332[/C][C]287.8[/C][C]278.13356052413[/C][C]9.66643947587014[/C][/ROW]
[ROW][C]333[/C][C]287.4[/C][C]287.099220781251[/C][C]0.300779218748873[/C][/ROW]
[ROW][C]334[/C][C]284[/C][C]282.027520893799[/C][C]1.97247910620081[/C][/ROW]
[ROW][C]335[/C][C]277.8[/C][C]289.947750657299[/C][C]-12.1477506572991[/C][/ROW]
[ROW][C]336[/C][C]277.6[/C][C]305.385816999411[/C][C]-27.785816999411[/C][/ROW]
[ROW][C]337[/C][C]304.9[/C][C]307.884735706305[/C][C]-2.98473570630478[/C][/ROW]
[ROW][C]338[/C][C]294[/C][C]335.863802972675[/C][C]-41.8638029726745[/C][/ROW]
[ROW][C]339[/C][C]300.9[/C][C]358.257284030308[/C][C]-57.3572840303083[/C][/ROW]
[ROW][C]340[/C][C]324[/C][C]346.81802039593[/C][C]-22.8180203959298[/C][/ROW]
[ROW][C]341[/C][C]332.9[/C][C]342.621424166241[/C][C]-9.7214241662407[/C][/ROW]
[ROW][C]342[/C][C]341.6[/C][C]332.367226324492[/C][C]9.23277367550779[/C][/ROW]
[ROW][C]343[/C][C]333.4[/C][C]322.963638172394[/C][C]10.4363618276063[/C][/ROW]
[ROW][C]344[/C][C]348.2[/C][C]324.34896139108[/C][C]23.8510386089201[/C][/ROW]
[ROW][C]345[/C][C]344.7[/C][C]311.806971325257[/C][C]32.8930286747434[/C][/ROW]
[ROW][C]346[/C][C]344.7[/C][C]327.052186794773[/C][C]17.6478132052269[/C][/ROW]
[ROW][C]347[/C][C]329.3[/C][C]326.69308749797[/C][C]2.60691250203011[/C][/ROW]
[ROW][C]348[/C][C]323.5[/C][C]324.344550285813[/C][C]-0.84455028581282[/C][/ROW]
[ROW][C]349[/C][C]323.2[/C][C]353.895479000978[/C][C]-30.6954790009776[/C][/ROW]
[ROW][C]350[/C][C]317.4[/C][C]338.915061322988[/C][C]-21.5150613229884[/C][/ROW]
[ROW][C]351[/C][C]330.1[/C][C]324.098074693867[/C][C]6.00192530613304[/C][/ROW]
[ROW][C]352[/C][C]329.2[/C][C]328.69652263248[/C][C]0.50347736752002[/C][/ROW]
[ROW][C]353[/C][C]334.9[/C][C]323.402217606032[/C][C]11.4977823939684[/C][/ROW]
[ROW][C]354[/C][C]315.8[/C][C]312.887546490476[/C][C]2.91245350952416[/C][/ROW]
[ROW][C]355[/C][C]315.4[/C][C]324.04274173531[/C][C]-8.64274173530965[/C][/ROW]
[ROW][C]356[/C][C]319.6[/C][C]336.944704703047[/C][C]-17.3447047030465[/C][/ROW]
[ROW][C]357[/C][C]317.3[/C][C]326.356264190778[/C][C]-9.05626419077788[/C][/ROW]
[ROW][C]358[/C][C]313.8[/C][C]320.782222989555[/C][C]-6.98222298955477[/C][/ROW]
[ROW][C]359[/C][C]315.8[/C][C]336.088730588876[/C][C]-20.2887305888756[/C][/ROW]
[ROW][C]360[/C][C]311.3[/C][C]348.084828669963[/C][C]-36.7848286699627[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=185533&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=185533&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
1255321.429345944284-66.4293459442836
2280.2323.956453312913-43.756453312913
3299.9320.042133716011-20.1421337160107
4339.2322.14748031961117.0525196803889
5374.2324.55574210432149.644257895679
6393.5332.86956763826360.6304323617366
7389.2341.66189818498847.5381018150118
8381.7342.43324868684339.266751313157
9375.2337.35195739221437.8480426077859
10369333.28494013230535.7150598676955
11357.4324.94419551669232.4558044833076
12352.1321.36771287087230.7322871291276
13346.5321.03863603357325.4613639664273
14342.9323.10061255611719.7993874438825
15340.3318.75837258081821.5416274191824
16328.3320.4730092737077.82699072629296
17322.9320.9649319725491.93506802745086
18314.3322.82274136284-8.52274136283947
19308.9331.075520128106-22.1755201281064
20294331.958502033021-37.9585020330213
21285.6326.914421206079-41.3144212060792
22281.2321.917142254001-40.7171422540008
23280.3312.92521445387-32.6252144538705
24278.8309.032442832713-30.232442832713
25274.5308.777786930787-34.2777869307869
26270.4308.290846416789-37.8908464167889
27263.4287.259711683979-23.8597116839793
28259.9288.378980893881-28.4789808938807
29258291.94076717688-33.94076717688
30262.7301.668590482919-38.9685904829192
31284.7313.958704992199-29.258704992199
32311.3319.158101148778-7.85810114877753
33322.1322.504980785199-0.404980785198686
34327322.3636678662424.63633213375813
35331.3317.37186534243813.9281346575623
36333.3316.30708926547416.9929107345263
37321.4317.6524834740783.74751652592196
38327318.3376726922138.66232730778723
39320313.6047228062026.39527719379801
40314.7321.254429095129-6.55442909512893
41316.7320.295143554188-3.59514355418753
42314.4320.552902833947-6.15290283394744
43321.3328.024261777792-6.72426177779243
44318.2327.883955821322-9.68395582132166
45307.2322.523586019042-15.3235860190421
46301.3317.526307066964-16.2263070669637
47287.5308.069248420749-20.5692484207489
48277.7310.78133481399-33.0813348139905
49274.4311.029020225836-36.6290202258356
50258.8311.71420944397-52.9142094439703
51253.3306.627760114935-53.3277601149354
52251307.70981885715-56.70981885715
53248.4307.42032173457-59.0203217345702
54249.5308.124606626571-58.6246066265712
55246.1315.205255659705-69.1052556597053
56244.5314.823081663271-70.3230816632705
57243.6309.313869990244-65.713869990244
58244313.433155621421-69.4331556214206
59240.8310.599560223448-69.7995602234483
60249.8306.650972900761-56.8509729007607
61248305.559081475883-57.5590814758826
62259.4306.281481161704-46.8814811617041
63260.5308.972019579201-48.472019579201
64260.8311.282023755079-50.4820237550785
65261.3310.490185318728-49.1901853187275
66259.5310.896786469234-51.3967864692344
67256.6318.070461671585-61.4704616715854
68257.9317.502235336717-59.602235336717
69256.5312.086049832907-55.5860498329073
70254.2320.242671208097-66.0426712080969
71253.3309.799535168183-56.499535168183
72253.8304.343923904182-50.5439239041819
73255.5303.084585374713-47.5845853747133
74257.1303.267433279077-46.1674332790769
75257.3296.990248984066-39.6902489840658
76253.2302.556169082534-49.3561690825344
77252.8303.06669701522-50.2666970152199
78252302.970956851956-50.9709568519556
79250.7309.288791297511-58.5887912975112
80252.2307.994960842751-55.794960842751
81250309.146422885654-59.1464228856536
82251307.181797050046-56.1817970500457
83253.4299.138736175928-45.7387361759277
84251.2293.943598185734-42.7435981857338
85255.6294.395941169856-38.795941169856
86261.1294.262500098882-33.1625000988821
87258.9288.952787963727-30.0527879637267
88259.9291.318607841134-31.4186078411343
89261.2291.847741007663-30.6477410076632
90264.7293.128788148809-28.4287881488088
91267.1299.018702215967-31.9187022159667
92266.4303.287836680376-36.8878366803765
93267.7300.606620551543-32.9066205515433
94268.6295.03257935032-26.4325793503201
95267.5286.26391435631-18.7639143563103
96268.5285.21774351319-16.7177435131897
97268.5283.604905540697-15.104905540697
98270.5282.894702220578-12.3947022205784
99270.9281.994430506303-11.0944305063034
100270.1278.480996489204-8.38099648920374
101269.3274.451847364105-5.15184736410504
102269.8280.067913990758-10.2679139907577
103270.1285.15780300265-15.0578030026504
104264.9283.529078338709-18.6290783387094
105263.7283.229332141829-19.5293321418286
106264.8276.818055417653-12.0180554176534
107263.7275.565904896368-11.8659048963682
108255.9273.049920579621-17.1499205796207
109276.2284.516561999022-8.31656199902247
110360.1304.94190432498155.1580956750192
111380.5328.69356745318151.8064325468188
112373.7333.73854100403539.9614589959647
113369.8336.76077550557733.0392244944233
114366.6337.31621852683129.2837814731694
115359.3343.18752736014516.1124726398548
116345.8341.8006707361683.99932926383193
117326.2334.765829887985-8.56582988798458
118324.5329.638314299003-5.13831429900254
119328.1324.2371966306443.86280336935596
120327.5318.4280859236199.07191407638127
121324.4316.5361694434757.86383055652461
122316.5316.4213336063450.078666393655116
123310.9310.013912674430.886087325569849
124301.5309.737789346078-8.23778934607818
125291.7308.201741555992-16.5017415559921
126290.4308.292053731162-17.8920537311616
127287.4314.702914345934-27.3029143459341
128277.7314.041661841849-36.3416618418487
129281.6308.420818765762-26.8208187657618
130288308.260900612962-20.2609006129616
131276303.976096975206-27.9760969752058
132272.9299.655404975651-26.7554049756507
133283300.944983482725-17.9449834827249
134283.3307.044295749283-23.7442957492825
135276.8300.32058584203-23.5205858420304
136284.5304.267850596125-19.7678505961252
137282.7304.201616279666-21.5016162796659
138281.2303.60353480263-22.4035348026304
139287.4309.698106442066-22.2981064420655
140283.1308.515907390365-25.4159073903655
141284302.07643402517-18.0764340251701
142285.5301.693253066249-16.1932530662493
143289.2302.394652098519-13.1946520985188
144292.5297.255329809855-4.75532980985499
145296.4298.451882147712-2.05188214771234
146305.2295.3416036617989.85839633820196
147303.9290.12491769585913.7750823041405
148311.5304.5655343376196.93446566238081
149316.3302.58296093529213.717039064708
150316.7306.59897745141410.1010225485858
151322.5314.461046305978.03895369402986
152317.1313.167215851213.93278414879011
153309.8306.5975058491113.20249415088916
154303.8302.9770142014420.822985798557611
155290.3296.571213905542-6.27121390554152
156293.7291.059786940012.64021305998974
157291.7288.8701867183732.82981328162716
158296.5288.0483519951948.45164800480599
159289.1288.1713681423050.928631857695244
160288.5294.686155166786-6.18615516678567
161293.8292.7035817644591.0964182355415
162297.7292.198526456645.50147354336006
163305.4298.2744928622327.12550713776835
164302.7296.9806624074715.71933759252858
165302.5304.99745573858-2.49745573858037
166303300.539728567962.46027143204007
167294.5290.5617233741313.93827662586942
168294.1285.3107696824078.78923031759347
169294.5283.99561545140810.5043845485921
170297.1284.38312092804912.7168790719514
171289.4283.1293497707496.27065022925053
172292.4292.3605009363630.0394990636365107
173287.9291.364004927735-3.46400492773534
174286.6291.696185142869-5.09618514286872
175280.5298.479150434509-17.9791504345088
176272.4297.79929269658-25.39929269658
177269.2291.322608863698-22.1226088636978
178270.6291.683637258512-21.0836372585121
179267.3283.194050772153-15.894050772153
180262.5278.352412224983-15.8524122249833
181266.8279.418727925937-12.618727925937
182268.8274.950267369456-6.15026736945613
183263.1267.92887372071-4.82887372070991
184261.2269.122563865985-7.92256386598483
185266269.074934783369-3.07493478336893
186262.5270.337376690671-7.83737669067122
187265.2272.115534078443-6.91553407844269
188261.3267.379735362658-6.07973536265759
189253.7262.651943511053-8.95194351105292
190249.2258.67795242036-9.47795242036028
191239.1250.318602570905-11.2186025709048
192236.4246.797935626615-10.3979356266149
193235.2246.9339896354-11.7339896353997
194245.2248.568045779547-3.36804577954668
195246.2244.132779635032.06722036497004
196247.7251.410381247089-3.71038124708933
197251.4253.186065081124-1.78606508112442
198253.3254.374086053053-1.0740860530532
199254.8262.291970609139-7.49197060913928
200250275.528827786057-25.528827786057
201249.3270.819641168296-21.5196411682957
202241.5266.864255311446-25.3642553114464
203243.3258.988641541919-15.6886415419187
204248255.040054219231-7.04005421923117
205253255.231923929546-2.23192392954608
206252.9270.503616480889-17.6036164808889
207251.5303.502080829248-52.002080829248
208251.6303.746904048511-52.1469040485106
209253.5303.345775522871-49.8457755228705
210259.8307.6222653128-47.8222653128
211334.1314.08894162910320.0110583708974
212448352.05215458386995.9478454161308
213445.8374.7856878850971.0143121149102
214445376.70955592274868.2904440772521
215448.2368.85254738706479.3474526129364
216438.2358.78283812990579.4171618700952
217439.8356.18392276371383.616077236287
218423.4357.03655908643866.3634409135617
219410.8349.60585029313861.1941497068623
220408.4350.57627763229257.8237223677079
221406.7357.37537460403949.3246253959608
222405.9353.57719290594352.3228070940573
223402.7358.77871332089643.9212866791043
224405.1353.46615235596651.6338476440341
225399.6347.04528422461452.5547157753862
226386.5338.06648523005348.4335147699474
227381.4330.9350808142650.46491918574
228375.2328.28885986060946.9111401393911
229357.7317.61527300639140.0847269936087
230359324.97974117429934.0202588257014
231355320.58168549746934.4183145025314
232352.7317.53338232645335.1666176735466
233344.4320.0904859819124.3095140180896
234343.8320.42266619704423.3773338029562
235338334.2942255830113.7057744169893
236339365.16884444345-26.1688444434504
237333.3365.073755818847-31.7737558188467
238334.4366.848781985758-32.4487819857578
239328.3359.568535699218-31.2685356992182
240330.7342.652100387696-11.9521003876964
241330334.769298609985-4.76929860998543
242331.6372.627745047189-41.0277450471887
243351.2450.725296231895-99.5252962318951
244389.4434.634724136672-45.2347241366722
245410.9481.397863403994-70.4978634039944
246442.8483.99988214802-41.1998821480198
247462.8419.84109079486142.958909205139
248466.9408.89114397538858.0088560246122
249461.7396.20031203881765.4996879611825
250439.2382.60741505109956.5925849489014
251430.3366.00594660902764.2940533909732
252416.1377.23923010253538.8607698974646
253402.5377.89623065893524.6037693410653
254397.3393.4842121856153.81578781438499
255403.3361.9039098636141.3960901363897
256395.9367.45122472823628.4487752717644
257387.8347.23552215939840.5644778406017
258378.6346.80488778695331.7951122130468
259377.1357.49495218570319.6050478142974
260370.4356.70346304471413.6965369552864
261362337.35195739221424.6480426077859
262350.3331.36860104643718.9313989535634
263348.2334.11657580147814.0834241985224
264344.6333.64716720750210.9528327924984
265343.5332.44364437956311.0563556204368
266342.8329.55662869976913.2433713002305
267347.6328.17262090556719.4273790944333
268346.6327.84068187568518.7593181243154
269349.5325.96973987641823.5302601235823
270342.1328.57175862044313.5282413795568
271342326.31258026420215.6874197357983
272342.8323.06520025588719.7347997441132
273339.3311.56510328529327.7348967147073
274348.2308.57718958829939.6228104117009
275333.7317.66954908393216.0304509160682
276334.7337.944976225322-3.24497622532189
277354321.80145062115132.1985493788488
278367.7314.85849396350152.8415060364988
279363.3313.32564429855149.9743557014487
280358.4307.98889736480150.4111026351993
281353.1307.01100659001646.0889934099841
282343.1299.47317288940143.6268271105995
283344.6307.72595165466736.8740483453326
284344.4301.79941797290642.6005820270938
285333.9296.55067957368737.349320426313
286331.7295.73957823636935.9604217636315
287324.3290.82219664793833.4778033520622
288321.2285.51542725468435.6845727453163
289322.4280.5350419565441.8649580434603
290321.7271.26643106846750.4335689315326
291320.5268.096320825352.4036791746996
292312.8276.47163123411936.3283687658811
293309.7284.90798878408324.7920112159167
294315.6267.56519684800848.0348031519921
295309.7275.68773897637134.0122610236288
296304.6278.33821809640726.261781903593
297302.5276.32679038593526.1732096140645
298301.5262.49202535825339.0079746417473
299298.8260.70032305550938.0996769444905
300291.3256.49126245901534.8087375409854
301293.6261.52049296860832.0795070313923
302294.6261.3126309622633.2873690377397
303285.9267.37071670540918.5292832945914
304297.6275.50415907426322.0958409257367
305301.1265.61436128850135.4856387114993
306293.8263.28599306403130.5140069359689
307297.7259.27792272651238.4220772734879
308292.9257.35151432107735.5484856789229
309292.1263.76825754165628.3317424583445
310287.2260.83615954619226.3638404538079
311288.2259.73285089565428.4671491043461
312283.8243.98854531626539.8114546837352
313299.9252.90626969912446.9937303008761
314292.4252.86585479736739.5341452026331
315293.3243.31414934592149.9858506540787
316300.8250.57314572413750.2268542758627
317293.7254.54424715169139.155752848309
318293.1250.65303928437842.4469607156223
319294.4266.90606860229727.493931397703
320292.1262.95168970793429.1483102920663
321291.9260.14023694219731.7597630578031
322282.5254.95690565168527.5430943483153
323277.9249.14647283877228.753527161228
324287.5249.43987883237438.0601211676255
325289.2262.37633372540326.8236662745969
326285.6265.42438764164720.1756123583532
327293.2266.32882361017926.8711763898205
328290.8264.97359671891225.8264032810884
329283.1269.07493478336914.0250652166311
330275281.649358867445-6.64935886744481
331287.8274.81329298573212.9867070142676
332287.8278.133560524139.66643947587014
333287.4287.0992207812510.300779218748873
334284282.0275208937991.97247910620081
335277.8289.947750657299-12.1477506572991
336277.6305.385816999411-27.785816999411
337304.9307.884735706305-2.98473570630478
338294335.863802972675-41.8638029726745
339300.9358.257284030308-57.3572840303083
340324346.81802039593-22.8180203959298
341332.9342.621424166241-9.7214241662407
342341.6332.3672263244929.23277367550779
343333.4322.96363817239410.4363618276063
344348.2324.3489613910823.8510386089201
345344.7311.80697132525732.8930286747434
346344.7327.05218679477317.6478132052269
347329.3326.693087497972.60691250203011
348323.5324.344550285813-0.84455028581282
349323.2353.895479000978-30.6954790009776
350317.4338.915061322988-21.5150613229884
351330.1324.0980746938676.00192530613304
352329.2328.696522632480.50347736752002
353334.9323.40221760603211.4977823939684
354315.8312.8875464904762.91245350952416
355315.4324.04274173531-8.64274173530965
356319.6336.944704703047-17.3447047030465
357317.3326.356264190778-9.05626419077788
358313.8320.782222989555-6.98222298955477
359315.8336.088730588876-20.2887305888756
360311.3348.084828669963-36.7848286699627







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.8032778407604960.3934443184790090.196722159239504
170.8556125888531570.2887748222936870.144387411146843
180.7766503479254550.4466993041490910.223349652074545
190.6758365724264470.6483268551471070.324163427573553
200.5719178213539460.8561643572921070.428082178646054
210.4690305927667320.9380611855334640.530969407233268
220.3703752960381780.7407505920763560.629624703961822
230.2917426927833650.5834853855667310.708257307216635
240.2278595164687210.4557190329374420.772140483531279
250.3141480357730560.6282960715461120.685851964226944
260.348134173878060.696268347756120.65186582612194
270.5841689316786720.8316621366426560.415831068321328
280.5647739241478820.8704521517042360.435226075852118
290.4946704565790170.9893409131580350.505329543420983
300.4290962388833140.8581924777666280.570903761116686
310.363670956485780.727341912971560.63632904351422
320.3300405964200270.6600811928400530.669959403579973
330.2844939647804710.5689879295609420.715506035219529
340.2394308459280780.4788616918561560.760569154071922
350.1993309839832970.3986619679665940.800669016016703
360.1624605265550860.3249210531101730.837539473444914
370.1445089509550840.2890179019101680.855491049044916
380.1307486628098130.2614973256196260.869251337190187
390.1008981146294390.2017962292588780.899101885370561
400.08827621803996910.1765524360799380.911723781960031
410.07519154499400210.1503830899880040.924808455005998
420.05841949242820350.1168389848564070.941580507571797
430.04329946304869830.08659892609739670.956700536951302
440.03155900381900440.06311800763800870.968440996180996
450.02274450685751760.04548901371503530.977255493142482
460.01615701815708680.03231403631417350.983842981842913
470.01145436626735740.02290873253471480.988545633732643
480.01048679334704240.02097358669408480.989513206652958
490.007612318632208190.01522463726441640.992387681367792
500.007063501990301040.01412700398060210.992936498009699
510.009299676735133370.01859935347026670.990700323264867
520.01227045152592450.0245409030518490.987729548474075
530.0177549188692650.03550983773853010.982245081130735
540.01956066692514140.03912133385028270.980439333074859
550.02250577535973210.04501155071946420.977494224640268
560.02371329787318820.04742659574637640.976286702126812
570.02153068750913070.04306137501826150.978469312490869
580.02669779819642240.05339559639284480.973302201803578
590.04380100632461840.08760201264923680.956198993675382
600.0461209979296360.0922419958592720.953879002070364
610.04063439227524020.08126878455048040.95936560772476
620.03401419895987480.06802839791974970.965985801040125
630.03617868340646880.07235736681293750.963821316593531
640.03948044727601620.07896089455203250.960519552723984
650.04181889318058940.08363778636117890.958181106819411
660.04039160866173350.0807832173234670.959608391338266
670.04081268766181460.08162537532362920.959187312338185
680.03851317318751780.07702634637503560.961486826812482
690.0343884190410280.06877683808205590.965611580958972
700.04722010406039960.09444020812079920.9527798959396
710.04893771171319030.09787542342638060.95106228828681
720.0445212957610170.0890425915220340.955478704238983
730.04028112845913170.08056225691826350.959718871540868
740.03643330402351840.07286660804703670.963566695976482
750.03217725046643840.06435450093287670.967822749533562
760.02867223500221970.05734447000443930.97132776499778
770.02588320947520960.05176641895041920.97411679052479
780.02312233673907490.04624467347814990.976877663260925
790.02188498774343770.04376997548687530.978115012256562
800.02144769861088170.04289539722176340.978552301389118
810.02043640583170630.04087281166341250.979563594168294
820.01946572572435670.03893145144871330.980534274275643
830.01826829584147330.03653659168294670.981731704158527
840.01808294018756390.03616588037512770.981917059812436
850.02213618307973310.04427236615946620.977863816920267
860.0283140787199560.0566281574399120.971685921280044
870.03176511055808310.06353022111616630.968234889441917
880.0358617376036990.07172347520739790.964138262396301
890.03836382334637040.07672764669274080.96163617665363
900.04411669317266660.08823338634533320.955883306827333
910.05605506111556470.1121101222311290.943944938884435
920.06033859779890240.1206771955978050.939661402201098
930.06505204269116820.1301040853823360.934947957308832
940.08340686012700790.1668137202540160.916593139872992
950.1068101980533370.2136203961066740.893189801946663
960.1244271279530740.2488542559061480.875572872046926
970.1673933193301820.3347866386603630.832606680669818
980.2138063061519520.4276126123039050.786193693848048
990.2318733991942810.4637467983885630.768126600805719
1000.2729171451538670.5458342903077330.727082854846133
1010.3215562196958940.6431124393917890.678443780304106
1020.3458603013612490.6917206027224980.654139698638751
1030.3767437920891350.753487584178270.623256207910865
1040.402859866351450.8057197327028990.59714013364855
1050.4154648645558170.8309297291116340.584535135444183
1060.4435409961176290.8870819922352590.556459003882371
1070.4464327953497980.8928655906995960.553567204650202
1080.4383121232207190.8766242464414380.561687876779281
1090.4403937449002460.8807874898004930.559606255099754
1100.5910043604595850.817991279080830.408995639540415
1110.647537946682280.7049241066354390.35246205331772
1120.6633418764317030.6733162471365930.336658123568297
1130.6567446120889910.6865107758220180.343255387911009
1140.6464081713465510.7071836573068990.353591828653449
1150.6247999745278410.7504000509443190.375200025472159
1160.5962786496806190.8074427006387610.403721350319381
1170.5680580107608360.8638839784783270.431941989239164
1180.5392957200811960.9214085598376080.460704279918804
1190.509163339455420.9816733210891610.49083666054458
1200.482816444929280.965632889858560.51718355507072
1210.4644603091623780.9289206183247560.535539690837622
1220.4354782056581790.8709564113163580.564521794341821
1230.4063437465793980.8126874931587950.593656253420602
1240.3785962721393930.7571925442787850.621403727860607
1250.3539703904307680.7079407808615350.646029609569232
1260.3311187005339120.6622374010678240.668881299466088
1270.3176231601086070.6352463202172140.682376839891393
1280.315106525506790.630213051013580.68489347449321
1290.3039793276943780.6079586553887560.696020672305622
1300.2888851749978820.5777703499957640.711114825002118
1310.2770958175337550.5541916350675110.722904182466245
1320.2641548259583030.5283096519166050.735845174041697
1330.2504411286645480.5008822573290970.749558871335452
1340.2367617586070580.4735235172141160.763238241392942
1350.2223528520917540.4447057041835070.777647147908246
1360.2067386523505650.413477304701130.793261347649435
1370.1926587696908270.3853175393816530.807341230309173
1380.1800703011824440.3601406023648880.819929698817556
1390.1711811056195590.3423622112391170.828818894380441
1400.1661286552257690.3322573104515370.833871344774231
1410.1605407147077030.3210814294154050.839459285292298
1420.1532825997418060.3065651994836130.846717400258194
1430.1416119380608010.2832238761216020.858388061939199
1440.1310168562373880.2620337124747770.868983143762612
1450.1254733228912840.2509466457825690.874526677108716
1460.125504020227670.251008040455340.87449597977233
1470.1268798915895810.2537597831791610.873120108410419
1480.1179496811094610.2358993622189220.882050318890539
1490.1140094766130640.2280189532261280.885990523386936
1500.1079333924077050.2158667848154110.892066607592295
1510.1046698304678520.2093396609357040.895330169532148
1520.1022404351773120.2044808703546250.897759564822688
1530.1002368312311140.2004736624622280.899763168768886
1540.09698047411664320.1939609482332860.903019525883357
1550.09014173360528830.1802834672105770.909858266394712
1560.08540999905863660.1708199981172730.914590000941363
1570.08495909623465330.1699181924693070.915040903765347
1580.08390805099162510.167816101983250.916091949008375
1590.07682692811215640.1536538562243130.923173071887844
1600.06944857991010980.138897159820220.93055142008989
1610.06349581166567490.126991623331350.936504188334325
1620.06028889082008010.120577781640160.93971110917992
1630.06071140795503450.1214228159100690.939288592044966
1640.06243764527523430.1248752905504690.937562354724766
1650.05870333172474060.1174066634494810.941296668275259
1660.05591388566044030.1118277713208810.94408611433956
1670.05320049019529120.1064009803905820.946799509804709
1680.05116095140993540.1023219028198710.948839048590065
1690.05179168939681890.1035833787936380.948208310603181
1700.05060395008119220.1012079001623840.949396049918808
1710.046293915651650.09258783130330.95370608434835
1720.04147227592726610.08294455185453210.958527724072734
1730.0365904476350190.07318089527003790.963409552364981
1740.03246958617524460.06493917235048920.967530413824755
1750.03043400954916370.06086801909832730.969565990450836
1760.03039233166701350.06078466333402710.969607668332987
1770.02993204817244120.05986409634488230.970067951827559
1780.0289326959032490.05786539180649810.971067304096751
1790.02696346132357840.05392692264715680.973036538676422
1800.02469396997894410.04938793995788820.975306030021056
1810.0232632383924970.04652647678499390.976736761607503
1820.02088456952033270.04176913904066540.979115430479667
1830.01855601214793680.03711202429587360.981443987852063
1840.01690365187684190.03380730375368390.983096348123158
1850.01521835846043460.03043671692086930.984781641539565
1860.01377263794276880.02754527588553770.986227362057231
1870.01335329006658930.02670658013317850.986646709933411
1880.01361025863363180.02722051726726360.986389741366368
1890.01378152507276590.02756305014553180.986218474927234
1900.01369748720642060.02739497441284120.986302512793579
1910.01326653886673170.02653307773346340.986733461133268
1920.01247171635823750.0249434327164750.987528283641762
1930.01241491156241340.02482982312482680.987585088437587
1940.01126340320242620.02252680640485240.988736596797574
1950.01002595100791610.02005190201583220.989974048992084
1960.009109273324636060.01821854664927210.990890726675364
1970.008096929513426390.01619385902685280.991903070486574
1980.00727332927208650.0145466585441730.992726670727914
1990.0070457087800580.0140914175601160.992954291219942
2000.008248461099464670.01649692219892930.991751538900535
2010.009283103856369670.01856620771273930.99071689614363
2020.01085477234076040.02170954468152070.98914522765924
2030.01121900000633780.02243800001267560.988780999993662
2040.01067384559537340.02134769119074680.989326154404627
2050.01057775204636820.02115550409273650.989422247953632
2060.01057640124666240.02115280249332490.989423598753338
2070.01856685089014260.03713370178028520.981433149109857
2080.03292159852936320.06584319705872650.967078401470637
2090.05306022348181030.1061204469636210.94693977651819
2100.07989836293791260.1597967258758250.920101637062087
2110.07679866627813120.1535973325562620.923201333721869
2120.2399891916239980.4799783832479960.760010808376002
2130.3538712461233640.7077424922467280.646128753876636
2140.4640162733076850.9280325466153710.535983726692315
2150.6279408852068920.7441182295862160.372059114793108
2160.7724380397157840.4551239205684320.227561960284216
2170.8824238500882690.2351522998234630.117576149911731
2180.9256161914276610.1487676171446790.0743838085723393
2190.9489373241068780.1021253517862430.0510626758931215
2200.9620309493425020.07593810131499660.0379690506574983
2210.9678820764178110.06423584716437850.0321179235821892
2220.9743591276271830.05128174474563480.0256408723728174
2230.9763774040534110.04724519189317850.0236225959465892
2240.9813224459133730.03735510817325370.0186775540866268
2250.985575330471410.02884933905717980.0144246695285899
2260.9880821742707860.02383565145842750.0119178257292138
2270.9909076174743770.0181847650512460.00909238252562299
2280.9927426396956230.01451472060875380.00725736030437692
2290.9928759527064430.01424809458711390.00712404729355697
2300.9926350117221290.01472997655574290.00736498827787143
2310.9922690066322380.01546198673552460.00773099336776231
2320.9917777514713020.01644449705739540.00822224852869769
2330.9902458154068130.01950836918637390.00975418459318696
2340.9884399316977780.02312013660444350.0115600683022218
2350.9860684657462820.02786306850743620.0139315342537181
2360.9877659849090460.0244680301819090.0122340150909545
2370.990549950100640.01890009979871920.00945004989935961
2380.9927136723208650.01457265535826940.00728632767913472
2390.9940217128773520.01195657424529580.00597828712264788
2400.9931141534331380.01377169313372470.00688584656686233
2410.9918663609164750.01626727816704930.00813363908352465
2420.9946274519030190.01074509619396180.0053725480969809
2430.9998133335761290.0003733328477415060.000186666423870753
2440.9999003134223590.0001993731552822149.96865776411071e-05
2450.9999835657584163.28684831686926e-051.64342415843463e-05
2460.999989146261482.17074770398085e-051.08537385199043e-05
2470.9999924310014211.51379971581251e-057.56899857906253e-06
2480.9999977301882344.53962353120919e-062.26981176560459e-06
2490.9999996570905086.85818983996841e-073.4290949199842e-07
2500.9999999233591911.53281618709279e-077.66408093546396e-08
2510.9999999951719099.65618221303935e-094.82809110651967e-09
2520.9999999989013692.19726138260038e-091.09863069130019e-09
2530.9999999990907811.81843843328917e-099.09219216644585e-10
2540.9999999987859572.42808660466919e-091.21404330233459e-09
2550.999999999583178.33660567051211e-104.16830283525605e-10
2560.9999999996953316.09337025094695e-103.04668512547347e-10
2570.9999999998543892.91221726995673e-101.45610863497837e-10
2580.9999999998966382.0672390807e-101.03361954035e-10
2590.9999999998947432.10513518989349e-101.05256759494675e-10
2600.9999999998614642.77072067297794e-101.38536033648897e-10
2610.9999999998512822.97436832075497e-101.48718416037748e-10
2620.9999999997867054.26589291571202e-102.13294645785601e-10
2630.9999999997196565.60688880902345e-102.80344440451173e-10
2640.9999999996299527.40095249284251e-103.70047624642126e-10
2650.9999999993669951.26601026854915e-096.33005134274577e-10
2660.9999999989891822.02163532666768e-091.01081766333384e-09
2670.9999999985683922.86321620676039e-091.43160810338019e-09
2680.9999999977871924.42561537517981e-092.2128076875899e-09
2690.9999999970252095.94958135716486e-092.97479067858243e-09
2700.9999999951231389.75372415105792e-094.87686207552896e-09
2710.9999999924204291.51591413778942e-087.5795706889471e-09
2720.9999999890445052.19109903518267e-081.09554951759133e-08
2730.9999999864114022.7177196768258e-081.3588598384129e-08
2740.9999999907049341.8590132245998e-089.29506612299898e-09
2750.9999999872549272.54901453122375e-081.27450726561188e-08
2760.9999999793925524.12148964422669e-082.06074482211335e-08
2770.9999999853925332.92149347500604e-081.46074673750302e-08
2780.999999998525122.9497608716953e-091.47488043584765e-09
2790.9999999997920454.15909050008655e-102.07954525004327e-10
2800.9999999999554588.90843288421391e-114.45421644210695e-11
2810.9999999999860522.78949761720346e-111.39474880860173e-11
2820.999999999993361.32798313236545e-116.63991566182725e-12
2830.9999999999964097.18170898063136e-123.59085449031568e-12
2840.9999999999985372.92676400065771e-121.46338200032885e-12
2850.999999999998852.30081996470022e-121.15040998235011e-12
2860.9999999999991441.71291486939299e-128.56457434696496e-13
2870.9999999999993361.32778917197523e-126.63894585987616e-13
2880.9999999999995578.86145631010823e-134.43072815505412e-13
2890.9999999999996277.45997646668941e-133.7299882333447e-13
2900.9999999999998872.25498391903799e-131.127491959519e-13
2910.9999999999999568.87260176841215e-144.43630088420607e-14
2920.999999999999921.59568083922566e-137.9784041961283e-14
2930.9999999999998093.82049346188515e-131.91024673094258e-13
2940.9999999999998163.6710661730242e-131.8355330865121e-13
2950.9999999999996437.13516845933568e-133.56758422966784e-13
2960.9999999999991461.70833474555978e-128.54167372779891e-13
2970.9999999999979554.08990129874645e-122.04495064937322e-12
2980.9999999999961867.62852234733286e-123.81426117366643e-12
2990.9999999999938661.22679033526182e-116.13395167630908e-12
3000.9999999999881042.37915435945313e-111.18957717972656e-11
3010.9999999999724555.5090701093262e-112.7545350546631e-11
3020.9999999999505339.8934567023166e-114.9467283511583e-11
3030.9999999998849912.30017503099472e-101.15008751549736e-10
3040.9999999997316645.36672341212138e-102.68336170606069e-10
3050.999999999403831.19233911207711e-095.96169556038554e-10
3060.9999999986370132.72597473009609e-091.36298736504804e-09
3070.9999999971543465.69130728246392e-092.84565364123196e-09
3080.9999999937372851.25254297199888e-086.26271485999439e-09
3090.999999986309892.73802205828812e-081.36901102914406e-08
3100.9999999699800756.0039849540435e-083.00199247702175e-08
3110.9999999351678231.29664353561586e-076.48321767807928e-08
3120.9999998791078872.41784225935243e-071.20892112967622e-07
3130.9999998282952533.43409493659016e-071.71704746829508e-07
3140.9999997746045844.50790832481002e-072.25395416240501e-07
3150.9999996961973066.07605387317114e-073.03802693658557e-07
3160.9999995397947439.20410514686255e-074.60205257343128e-07
3170.9999990267473541.94650529270266e-069.73252646351329e-07
3180.9999982096298543.58074029250623e-061.79037014625312e-06
3190.9999960960307267.8079385477238e-063.9039692738619e-06
3200.999991588948291.6822103420315e-058.41105171015751e-06
3210.9999822321116973.55357766059296e-051.77678883029648e-05
3220.9999633150378687.33699242637041e-053.66849621318521e-05
3230.999925968370110.0001480632597798357.40316298899176e-05
3240.9999116618647470.0001766762705063978.83381352531985e-05
3250.9998448692709990.0003102614580012560.000155130729000628
3260.9997934359186590.0004131281626822420.000206564081341121
3270.9997700356977730.0004599286044531530.000229964302226576
3280.9996255773898160.0007488452203689290.000374422610184464
3290.999227490531960.001545018936080710.000772509468040356
3300.9989923790764280.002015241847144920.00100762092357246
3310.9979690404550310.004061919089937510.00203095954496875
3320.996367028817870.007265942364260230.00363297118213012
3330.9954030348860340.009193930227931730.00459696511396586
3340.9943660445614780.01126791087704470.00563395543852237
3350.9951781677137380.009643664572523670.00482183228626183
3360.9975787780022070.004842443995586770.00242122199779338
3370.9974857526372990.005028494725402150.00251424736270108
3380.9965398625448090.006920274910382870.00346013745519143
3390.9931753846863860.01364923062722730.00682461531361363
3400.9832811413877520.03343771722449660.0167188586122483
3410.9616873238611230.07662535227775450.0383126761388773
3420.9705949308274460.05881013834510870.0294050691725543
3430.9410597088629040.1178805822741930.0589402911370965
3440.8860157382436760.2279685235126490.113984261756324

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
16 & 0.803277840760496 & 0.393444318479009 & 0.196722159239504 \tabularnewline
17 & 0.855612588853157 & 0.288774822293687 & 0.144387411146843 \tabularnewline
18 & 0.776650347925455 & 0.446699304149091 & 0.223349652074545 \tabularnewline
19 & 0.675836572426447 & 0.648326855147107 & 0.324163427573553 \tabularnewline
20 & 0.571917821353946 & 0.856164357292107 & 0.428082178646054 \tabularnewline
21 & 0.469030592766732 & 0.938061185533464 & 0.530969407233268 \tabularnewline
22 & 0.370375296038178 & 0.740750592076356 & 0.629624703961822 \tabularnewline
23 & 0.291742692783365 & 0.583485385566731 & 0.708257307216635 \tabularnewline
24 & 0.227859516468721 & 0.455719032937442 & 0.772140483531279 \tabularnewline
25 & 0.314148035773056 & 0.628296071546112 & 0.685851964226944 \tabularnewline
26 & 0.34813417387806 & 0.69626834775612 & 0.65186582612194 \tabularnewline
27 & 0.584168931678672 & 0.831662136642656 & 0.415831068321328 \tabularnewline
28 & 0.564773924147882 & 0.870452151704236 & 0.435226075852118 \tabularnewline
29 & 0.494670456579017 & 0.989340913158035 & 0.505329543420983 \tabularnewline
30 & 0.429096238883314 & 0.858192477766628 & 0.570903761116686 \tabularnewline
31 & 0.36367095648578 & 0.72734191297156 & 0.63632904351422 \tabularnewline
32 & 0.330040596420027 & 0.660081192840053 & 0.669959403579973 \tabularnewline
33 & 0.284493964780471 & 0.568987929560942 & 0.715506035219529 \tabularnewline
34 & 0.239430845928078 & 0.478861691856156 & 0.760569154071922 \tabularnewline
35 & 0.199330983983297 & 0.398661967966594 & 0.800669016016703 \tabularnewline
36 & 0.162460526555086 & 0.324921053110173 & 0.837539473444914 \tabularnewline
37 & 0.144508950955084 & 0.289017901910168 & 0.855491049044916 \tabularnewline
38 & 0.130748662809813 & 0.261497325619626 & 0.869251337190187 \tabularnewline
39 & 0.100898114629439 & 0.201796229258878 & 0.899101885370561 \tabularnewline
40 & 0.0882762180399691 & 0.176552436079938 & 0.911723781960031 \tabularnewline
41 & 0.0751915449940021 & 0.150383089988004 & 0.924808455005998 \tabularnewline
42 & 0.0584194924282035 & 0.116838984856407 & 0.941580507571797 \tabularnewline
43 & 0.0432994630486983 & 0.0865989260973967 & 0.956700536951302 \tabularnewline
44 & 0.0315590038190044 & 0.0631180076380087 & 0.968440996180996 \tabularnewline
45 & 0.0227445068575176 & 0.0454890137150353 & 0.977255493142482 \tabularnewline
46 & 0.0161570181570868 & 0.0323140363141735 & 0.983842981842913 \tabularnewline
47 & 0.0114543662673574 & 0.0229087325347148 & 0.988545633732643 \tabularnewline
48 & 0.0104867933470424 & 0.0209735866940848 & 0.989513206652958 \tabularnewline
49 & 0.00761231863220819 & 0.0152246372644164 & 0.992387681367792 \tabularnewline
50 & 0.00706350199030104 & 0.0141270039806021 & 0.992936498009699 \tabularnewline
51 & 0.00929967673513337 & 0.0185993534702667 & 0.990700323264867 \tabularnewline
52 & 0.0122704515259245 & 0.024540903051849 & 0.987729548474075 \tabularnewline
53 & 0.017754918869265 & 0.0355098377385301 & 0.982245081130735 \tabularnewline
54 & 0.0195606669251414 & 0.0391213338502827 & 0.980439333074859 \tabularnewline
55 & 0.0225057753597321 & 0.0450115507194642 & 0.977494224640268 \tabularnewline
56 & 0.0237132978731882 & 0.0474265957463764 & 0.976286702126812 \tabularnewline
57 & 0.0215306875091307 & 0.0430613750182615 & 0.978469312490869 \tabularnewline
58 & 0.0266977981964224 & 0.0533955963928448 & 0.973302201803578 \tabularnewline
59 & 0.0438010063246184 & 0.0876020126492368 & 0.956198993675382 \tabularnewline
60 & 0.046120997929636 & 0.092241995859272 & 0.953879002070364 \tabularnewline
61 & 0.0406343922752402 & 0.0812687845504804 & 0.95936560772476 \tabularnewline
62 & 0.0340141989598748 & 0.0680283979197497 & 0.965985801040125 \tabularnewline
63 & 0.0361786834064688 & 0.0723573668129375 & 0.963821316593531 \tabularnewline
64 & 0.0394804472760162 & 0.0789608945520325 & 0.960519552723984 \tabularnewline
65 & 0.0418188931805894 & 0.0836377863611789 & 0.958181106819411 \tabularnewline
66 & 0.0403916086617335 & 0.080783217323467 & 0.959608391338266 \tabularnewline
67 & 0.0408126876618146 & 0.0816253753236292 & 0.959187312338185 \tabularnewline
68 & 0.0385131731875178 & 0.0770263463750356 & 0.961486826812482 \tabularnewline
69 & 0.034388419041028 & 0.0687768380820559 & 0.965611580958972 \tabularnewline
70 & 0.0472201040603996 & 0.0944402081207992 & 0.9527798959396 \tabularnewline
71 & 0.0489377117131903 & 0.0978754234263806 & 0.95106228828681 \tabularnewline
72 & 0.044521295761017 & 0.089042591522034 & 0.955478704238983 \tabularnewline
73 & 0.0402811284591317 & 0.0805622569182635 & 0.959718871540868 \tabularnewline
74 & 0.0364333040235184 & 0.0728666080470367 & 0.963566695976482 \tabularnewline
75 & 0.0321772504664384 & 0.0643545009328767 & 0.967822749533562 \tabularnewline
76 & 0.0286722350022197 & 0.0573444700044393 & 0.97132776499778 \tabularnewline
77 & 0.0258832094752096 & 0.0517664189504192 & 0.97411679052479 \tabularnewline
78 & 0.0231223367390749 & 0.0462446734781499 & 0.976877663260925 \tabularnewline
79 & 0.0218849877434377 & 0.0437699754868753 & 0.978115012256562 \tabularnewline
80 & 0.0214476986108817 & 0.0428953972217634 & 0.978552301389118 \tabularnewline
81 & 0.0204364058317063 & 0.0408728116634125 & 0.979563594168294 \tabularnewline
82 & 0.0194657257243567 & 0.0389314514487133 & 0.980534274275643 \tabularnewline
83 & 0.0182682958414733 & 0.0365365916829467 & 0.981731704158527 \tabularnewline
84 & 0.0180829401875639 & 0.0361658803751277 & 0.981917059812436 \tabularnewline
85 & 0.0221361830797331 & 0.0442723661594662 & 0.977863816920267 \tabularnewline
86 & 0.028314078719956 & 0.056628157439912 & 0.971685921280044 \tabularnewline
87 & 0.0317651105580831 & 0.0635302211161663 & 0.968234889441917 \tabularnewline
88 & 0.035861737603699 & 0.0717234752073979 & 0.964138262396301 \tabularnewline
89 & 0.0383638233463704 & 0.0767276466927408 & 0.96163617665363 \tabularnewline
90 & 0.0441166931726666 & 0.0882333863453332 & 0.955883306827333 \tabularnewline
91 & 0.0560550611155647 & 0.112110122231129 & 0.943944938884435 \tabularnewline
92 & 0.0603385977989024 & 0.120677195597805 & 0.939661402201098 \tabularnewline
93 & 0.0650520426911682 & 0.130104085382336 & 0.934947957308832 \tabularnewline
94 & 0.0834068601270079 & 0.166813720254016 & 0.916593139872992 \tabularnewline
95 & 0.106810198053337 & 0.213620396106674 & 0.893189801946663 \tabularnewline
96 & 0.124427127953074 & 0.248854255906148 & 0.875572872046926 \tabularnewline
97 & 0.167393319330182 & 0.334786638660363 & 0.832606680669818 \tabularnewline
98 & 0.213806306151952 & 0.427612612303905 & 0.786193693848048 \tabularnewline
99 & 0.231873399194281 & 0.463746798388563 & 0.768126600805719 \tabularnewline
100 & 0.272917145153867 & 0.545834290307733 & 0.727082854846133 \tabularnewline
101 & 0.321556219695894 & 0.643112439391789 & 0.678443780304106 \tabularnewline
102 & 0.345860301361249 & 0.691720602722498 & 0.654139698638751 \tabularnewline
103 & 0.376743792089135 & 0.75348758417827 & 0.623256207910865 \tabularnewline
104 & 0.40285986635145 & 0.805719732702899 & 0.59714013364855 \tabularnewline
105 & 0.415464864555817 & 0.830929729111634 & 0.584535135444183 \tabularnewline
106 & 0.443540996117629 & 0.887081992235259 & 0.556459003882371 \tabularnewline
107 & 0.446432795349798 & 0.892865590699596 & 0.553567204650202 \tabularnewline
108 & 0.438312123220719 & 0.876624246441438 & 0.561687876779281 \tabularnewline
109 & 0.440393744900246 & 0.880787489800493 & 0.559606255099754 \tabularnewline
110 & 0.591004360459585 & 0.81799127908083 & 0.408995639540415 \tabularnewline
111 & 0.64753794668228 & 0.704924106635439 & 0.35246205331772 \tabularnewline
112 & 0.663341876431703 & 0.673316247136593 & 0.336658123568297 \tabularnewline
113 & 0.656744612088991 & 0.686510775822018 & 0.343255387911009 \tabularnewline
114 & 0.646408171346551 & 0.707183657306899 & 0.353591828653449 \tabularnewline
115 & 0.624799974527841 & 0.750400050944319 & 0.375200025472159 \tabularnewline
116 & 0.596278649680619 & 0.807442700638761 & 0.403721350319381 \tabularnewline
117 & 0.568058010760836 & 0.863883978478327 & 0.431941989239164 \tabularnewline
118 & 0.539295720081196 & 0.921408559837608 & 0.460704279918804 \tabularnewline
119 & 0.50916333945542 & 0.981673321089161 & 0.49083666054458 \tabularnewline
120 & 0.48281644492928 & 0.96563288985856 & 0.51718355507072 \tabularnewline
121 & 0.464460309162378 & 0.928920618324756 & 0.535539690837622 \tabularnewline
122 & 0.435478205658179 & 0.870956411316358 & 0.564521794341821 \tabularnewline
123 & 0.406343746579398 & 0.812687493158795 & 0.593656253420602 \tabularnewline
124 & 0.378596272139393 & 0.757192544278785 & 0.621403727860607 \tabularnewline
125 & 0.353970390430768 & 0.707940780861535 & 0.646029609569232 \tabularnewline
126 & 0.331118700533912 & 0.662237401067824 & 0.668881299466088 \tabularnewline
127 & 0.317623160108607 & 0.635246320217214 & 0.682376839891393 \tabularnewline
128 & 0.31510652550679 & 0.63021305101358 & 0.68489347449321 \tabularnewline
129 & 0.303979327694378 & 0.607958655388756 & 0.696020672305622 \tabularnewline
130 & 0.288885174997882 & 0.577770349995764 & 0.711114825002118 \tabularnewline
131 & 0.277095817533755 & 0.554191635067511 & 0.722904182466245 \tabularnewline
132 & 0.264154825958303 & 0.528309651916605 & 0.735845174041697 \tabularnewline
133 & 0.250441128664548 & 0.500882257329097 & 0.749558871335452 \tabularnewline
134 & 0.236761758607058 & 0.473523517214116 & 0.763238241392942 \tabularnewline
135 & 0.222352852091754 & 0.444705704183507 & 0.777647147908246 \tabularnewline
136 & 0.206738652350565 & 0.41347730470113 & 0.793261347649435 \tabularnewline
137 & 0.192658769690827 & 0.385317539381653 & 0.807341230309173 \tabularnewline
138 & 0.180070301182444 & 0.360140602364888 & 0.819929698817556 \tabularnewline
139 & 0.171181105619559 & 0.342362211239117 & 0.828818894380441 \tabularnewline
140 & 0.166128655225769 & 0.332257310451537 & 0.833871344774231 \tabularnewline
141 & 0.160540714707703 & 0.321081429415405 & 0.839459285292298 \tabularnewline
142 & 0.153282599741806 & 0.306565199483613 & 0.846717400258194 \tabularnewline
143 & 0.141611938060801 & 0.283223876121602 & 0.858388061939199 \tabularnewline
144 & 0.131016856237388 & 0.262033712474777 & 0.868983143762612 \tabularnewline
145 & 0.125473322891284 & 0.250946645782569 & 0.874526677108716 \tabularnewline
146 & 0.12550402022767 & 0.25100804045534 & 0.87449597977233 \tabularnewline
147 & 0.126879891589581 & 0.253759783179161 & 0.873120108410419 \tabularnewline
148 & 0.117949681109461 & 0.235899362218922 & 0.882050318890539 \tabularnewline
149 & 0.114009476613064 & 0.228018953226128 & 0.885990523386936 \tabularnewline
150 & 0.107933392407705 & 0.215866784815411 & 0.892066607592295 \tabularnewline
151 & 0.104669830467852 & 0.209339660935704 & 0.895330169532148 \tabularnewline
152 & 0.102240435177312 & 0.204480870354625 & 0.897759564822688 \tabularnewline
153 & 0.100236831231114 & 0.200473662462228 & 0.899763168768886 \tabularnewline
154 & 0.0969804741166432 & 0.193960948233286 & 0.903019525883357 \tabularnewline
155 & 0.0901417336052883 & 0.180283467210577 & 0.909858266394712 \tabularnewline
156 & 0.0854099990586366 & 0.170819998117273 & 0.914590000941363 \tabularnewline
157 & 0.0849590962346533 & 0.169918192469307 & 0.915040903765347 \tabularnewline
158 & 0.0839080509916251 & 0.16781610198325 & 0.916091949008375 \tabularnewline
159 & 0.0768269281121564 & 0.153653856224313 & 0.923173071887844 \tabularnewline
160 & 0.0694485799101098 & 0.13889715982022 & 0.93055142008989 \tabularnewline
161 & 0.0634958116656749 & 0.12699162333135 & 0.936504188334325 \tabularnewline
162 & 0.0602888908200801 & 0.12057778164016 & 0.93971110917992 \tabularnewline
163 & 0.0607114079550345 & 0.121422815910069 & 0.939288592044966 \tabularnewline
164 & 0.0624376452752343 & 0.124875290550469 & 0.937562354724766 \tabularnewline
165 & 0.0587033317247406 & 0.117406663449481 & 0.941296668275259 \tabularnewline
166 & 0.0559138856604403 & 0.111827771320881 & 0.94408611433956 \tabularnewline
167 & 0.0532004901952912 & 0.106400980390582 & 0.946799509804709 \tabularnewline
168 & 0.0511609514099354 & 0.102321902819871 & 0.948839048590065 \tabularnewline
169 & 0.0517916893968189 & 0.103583378793638 & 0.948208310603181 \tabularnewline
170 & 0.0506039500811922 & 0.101207900162384 & 0.949396049918808 \tabularnewline
171 & 0.04629391565165 & 0.0925878313033 & 0.95370608434835 \tabularnewline
172 & 0.0414722759272661 & 0.0829445518545321 & 0.958527724072734 \tabularnewline
173 & 0.036590447635019 & 0.0731808952700379 & 0.963409552364981 \tabularnewline
174 & 0.0324695861752446 & 0.0649391723504892 & 0.967530413824755 \tabularnewline
175 & 0.0304340095491637 & 0.0608680190983273 & 0.969565990450836 \tabularnewline
176 & 0.0303923316670135 & 0.0607846633340271 & 0.969607668332987 \tabularnewline
177 & 0.0299320481724412 & 0.0598640963448823 & 0.970067951827559 \tabularnewline
178 & 0.028932695903249 & 0.0578653918064981 & 0.971067304096751 \tabularnewline
179 & 0.0269634613235784 & 0.0539269226471568 & 0.973036538676422 \tabularnewline
180 & 0.0246939699789441 & 0.0493879399578882 & 0.975306030021056 \tabularnewline
181 & 0.023263238392497 & 0.0465264767849939 & 0.976736761607503 \tabularnewline
182 & 0.0208845695203327 & 0.0417691390406654 & 0.979115430479667 \tabularnewline
183 & 0.0185560121479368 & 0.0371120242958736 & 0.981443987852063 \tabularnewline
184 & 0.0169036518768419 & 0.0338073037536839 & 0.983096348123158 \tabularnewline
185 & 0.0152183584604346 & 0.0304367169208693 & 0.984781641539565 \tabularnewline
186 & 0.0137726379427688 & 0.0275452758855377 & 0.986227362057231 \tabularnewline
187 & 0.0133532900665893 & 0.0267065801331785 & 0.986646709933411 \tabularnewline
188 & 0.0136102586336318 & 0.0272205172672636 & 0.986389741366368 \tabularnewline
189 & 0.0137815250727659 & 0.0275630501455318 & 0.986218474927234 \tabularnewline
190 & 0.0136974872064206 & 0.0273949744128412 & 0.986302512793579 \tabularnewline
191 & 0.0132665388667317 & 0.0265330777334634 & 0.986733461133268 \tabularnewline
192 & 0.0124717163582375 & 0.024943432716475 & 0.987528283641762 \tabularnewline
193 & 0.0124149115624134 & 0.0248298231248268 & 0.987585088437587 \tabularnewline
194 & 0.0112634032024262 & 0.0225268064048524 & 0.988736596797574 \tabularnewline
195 & 0.0100259510079161 & 0.0200519020158322 & 0.989974048992084 \tabularnewline
196 & 0.00910927332463606 & 0.0182185466492721 & 0.990890726675364 \tabularnewline
197 & 0.00809692951342639 & 0.0161938590268528 & 0.991903070486574 \tabularnewline
198 & 0.0072733292720865 & 0.014546658544173 & 0.992726670727914 \tabularnewline
199 & 0.007045708780058 & 0.014091417560116 & 0.992954291219942 \tabularnewline
200 & 0.00824846109946467 & 0.0164969221989293 & 0.991751538900535 \tabularnewline
201 & 0.00928310385636967 & 0.0185662077127393 & 0.99071689614363 \tabularnewline
202 & 0.0108547723407604 & 0.0217095446815207 & 0.98914522765924 \tabularnewline
203 & 0.0112190000063378 & 0.0224380000126756 & 0.988780999993662 \tabularnewline
204 & 0.0106738455953734 & 0.0213476911907468 & 0.989326154404627 \tabularnewline
205 & 0.0105777520463682 & 0.0211555040927365 & 0.989422247953632 \tabularnewline
206 & 0.0105764012466624 & 0.0211528024933249 & 0.989423598753338 \tabularnewline
207 & 0.0185668508901426 & 0.0371337017802852 & 0.981433149109857 \tabularnewline
208 & 0.0329215985293632 & 0.0658431970587265 & 0.967078401470637 \tabularnewline
209 & 0.0530602234818103 & 0.106120446963621 & 0.94693977651819 \tabularnewline
210 & 0.0798983629379126 & 0.159796725875825 & 0.920101637062087 \tabularnewline
211 & 0.0767986662781312 & 0.153597332556262 & 0.923201333721869 \tabularnewline
212 & 0.239989191623998 & 0.479978383247996 & 0.760010808376002 \tabularnewline
213 & 0.353871246123364 & 0.707742492246728 & 0.646128753876636 \tabularnewline
214 & 0.464016273307685 & 0.928032546615371 & 0.535983726692315 \tabularnewline
215 & 0.627940885206892 & 0.744118229586216 & 0.372059114793108 \tabularnewline
216 & 0.772438039715784 & 0.455123920568432 & 0.227561960284216 \tabularnewline
217 & 0.882423850088269 & 0.235152299823463 & 0.117576149911731 \tabularnewline
218 & 0.925616191427661 & 0.148767617144679 & 0.0743838085723393 \tabularnewline
219 & 0.948937324106878 & 0.102125351786243 & 0.0510626758931215 \tabularnewline
220 & 0.962030949342502 & 0.0759381013149966 & 0.0379690506574983 \tabularnewline
221 & 0.967882076417811 & 0.0642358471643785 & 0.0321179235821892 \tabularnewline
222 & 0.974359127627183 & 0.0512817447456348 & 0.0256408723728174 \tabularnewline
223 & 0.976377404053411 & 0.0472451918931785 & 0.0236225959465892 \tabularnewline
224 & 0.981322445913373 & 0.0373551081732537 & 0.0186775540866268 \tabularnewline
225 & 0.98557533047141 & 0.0288493390571798 & 0.0144246695285899 \tabularnewline
226 & 0.988082174270786 & 0.0238356514584275 & 0.0119178257292138 \tabularnewline
227 & 0.990907617474377 & 0.018184765051246 & 0.00909238252562299 \tabularnewline
228 & 0.992742639695623 & 0.0145147206087538 & 0.00725736030437692 \tabularnewline
229 & 0.992875952706443 & 0.0142480945871139 & 0.00712404729355697 \tabularnewline
230 & 0.992635011722129 & 0.0147299765557429 & 0.00736498827787143 \tabularnewline
231 & 0.992269006632238 & 0.0154619867355246 & 0.00773099336776231 \tabularnewline
232 & 0.991777751471302 & 0.0164444970573954 & 0.00822224852869769 \tabularnewline
233 & 0.990245815406813 & 0.0195083691863739 & 0.00975418459318696 \tabularnewline
234 & 0.988439931697778 & 0.0231201366044435 & 0.0115600683022218 \tabularnewline
235 & 0.986068465746282 & 0.0278630685074362 & 0.0139315342537181 \tabularnewline
236 & 0.987765984909046 & 0.024468030181909 & 0.0122340150909545 \tabularnewline
237 & 0.99054995010064 & 0.0189000997987192 & 0.00945004989935961 \tabularnewline
238 & 0.992713672320865 & 0.0145726553582694 & 0.00728632767913472 \tabularnewline
239 & 0.994021712877352 & 0.0119565742452958 & 0.00597828712264788 \tabularnewline
240 & 0.993114153433138 & 0.0137716931337247 & 0.00688584656686233 \tabularnewline
241 & 0.991866360916475 & 0.0162672781670493 & 0.00813363908352465 \tabularnewline
242 & 0.994627451903019 & 0.0107450961939618 & 0.0053725480969809 \tabularnewline
243 & 0.999813333576129 & 0.000373332847741506 & 0.000186666423870753 \tabularnewline
244 & 0.999900313422359 & 0.000199373155282214 & 9.96865776411071e-05 \tabularnewline
245 & 0.999983565758416 & 3.28684831686926e-05 & 1.64342415843463e-05 \tabularnewline
246 & 0.99998914626148 & 2.17074770398085e-05 & 1.08537385199043e-05 \tabularnewline
247 & 0.999992431001421 & 1.51379971581251e-05 & 7.56899857906253e-06 \tabularnewline
248 & 0.999997730188234 & 4.53962353120919e-06 & 2.26981176560459e-06 \tabularnewline
249 & 0.999999657090508 & 6.85818983996841e-07 & 3.4290949199842e-07 \tabularnewline
250 & 0.999999923359191 & 1.53281618709279e-07 & 7.66408093546396e-08 \tabularnewline
251 & 0.999999995171909 & 9.65618221303935e-09 & 4.82809110651967e-09 \tabularnewline
252 & 0.999999998901369 & 2.19726138260038e-09 & 1.09863069130019e-09 \tabularnewline
253 & 0.999999999090781 & 1.81843843328917e-09 & 9.09219216644585e-10 \tabularnewline
254 & 0.999999998785957 & 2.42808660466919e-09 & 1.21404330233459e-09 \tabularnewline
255 & 0.99999999958317 & 8.33660567051211e-10 & 4.16830283525605e-10 \tabularnewline
256 & 0.999999999695331 & 6.09337025094695e-10 & 3.04668512547347e-10 \tabularnewline
257 & 0.999999999854389 & 2.91221726995673e-10 & 1.45610863497837e-10 \tabularnewline
258 & 0.999999999896638 & 2.0672390807e-10 & 1.03361954035e-10 \tabularnewline
259 & 0.999999999894743 & 2.10513518989349e-10 & 1.05256759494675e-10 \tabularnewline
260 & 0.999999999861464 & 2.77072067297794e-10 & 1.38536033648897e-10 \tabularnewline
261 & 0.999999999851282 & 2.97436832075497e-10 & 1.48718416037748e-10 \tabularnewline
262 & 0.999999999786705 & 4.26589291571202e-10 & 2.13294645785601e-10 \tabularnewline
263 & 0.999999999719656 & 5.60688880902345e-10 & 2.80344440451173e-10 \tabularnewline
264 & 0.999999999629952 & 7.40095249284251e-10 & 3.70047624642126e-10 \tabularnewline
265 & 0.999999999366995 & 1.26601026854915e-09 & 6.33005134274577e-10 \tabularnewline
266 & 0.999999998989182 & 2.02163532666768e-09 & 1.01081766333384e-09 \tabularnewline
267 & 0.999999998568392 & 2.86321620676039e-09 & 1.43160810338019e-09 \tabularnewline
268 & 0.999999997787192 & 4.42561537517981e-09 & 2.2128076875899e-09 \tabularnewline
269 & 0.999999997025209 & 5.94958135716486e-09 & 2.97479067858243e-09 \tabularnewline
270 & 0.999999995123138 & 9.75372415105792e-09 & 4.87686207552896e-09 \tabularnewline
271 & 0.999999992420429 & 1.51591413778942e-08 & 7.5795706889471e-09 \tabularnewline
272 & 0.999999989044505 & 2.19109903518267e-08 & 1.09554951759133e-08 \tabularnewline
273 & 0.999999986411402 & 2.7177196768258e-08 & 1.3588598384129e-08 \tabularnewline
274 & 0.999999990704934 & 1.8590132245998e-08 & 9.29506612299898e-09 \tabularnewline
275 & 0.999999987254927 & 2.54901453122375e-08 & 1.27450726561188e-08 \tabularnewline
276 & 0.999999979392552 & 4.12148964422669e-08 & 2.06074482211335e-08 \tabularnewline
277 & 0.999999985392533 & 2.92149347500604e-08 & 1.46074673750302e-08 \tabularnewline
278 & 0.99999999852512 & 2.9497608716953e-09 & 1.47488043584765e-09 \tabularnewline
279 & 0.999999999792045 & 4.15909050008655e-10 & 2.07954525004327e-10 \tabularnewline
280 & 0.999999999955458 & 8.90843288421391e-11 & 4.45421644210695e-11 \tabularnewline
281 & 0.999999999986052 & 2.78949761720346e-11 & 1.39474880860173e-11 \tabularnewline
282 & 0.99999999999336 & 1.32798313236545e-11 & 6.63991566182725e-12 \tabularnewline
283 & 0.999999999996409 & 7.18170898063136e-12 & 3.59085449031568e-12 \tabularnewline
284 & 0.999999999998537 & 2.92676400065771e-12 & 1.46338200032885e-12 \tabularnewline
285 & 0.99999999999885 & 2.30081996470022e-12 & 1.15040998235011e-12 \tabularnewline
286 & 0.999999999999144 & 1.71291486939299e-12 & 8.56457434696496e-13 \tabularnewline
287 & 0.999999999999336 & 1.32778917197523e-12 & 6.63894585987616e-13 \tabularnewline
288 & 0.999999999999557 & 8.86145631010823e-13 & 4.43072815505412e-13 \tabularnewline
289 & 0.999999999999627 & 7.45997646668941e-13 & 3.7299882333447e-13 \tabularnewline
290 & 0.999999999999887 & 2.25498391903799e-13 & 1.127491959519e-13 \tabularnewline
291 & 0.999999999999956 & 8.87260176841215e-14 & 4.43630088420607e-14 \tabularnewline
292 & 0.99999999999992 & 1.59568083922566e-13 & 7.9784041961283e-14 \tabularnewline
293 & 0.999999999999809 & 3.82049346188515e-13 & 1.91024673094258e-13 \tabularnewline
294 & 0.999999999999816 & 3.6710661730242e-13 & 1.8355330865121e-13 \tabularnewline
295 & 0.999999999999643 & 7.13516845933568e-13 & 3.56758422966784e-13 \tabularnewline
296 & 0.999999999999146 & 1.70833474555978e-12 & 8.54167372779891e-13 \tabularnewline
297 & 0.999999999997955 & 4.08990129874645e-12 & 2.04495064937322e-12 \tabularnewline
298 & 0.999999999996186 & 7.62852234733286e-12 & 3.81426117366643e-12 \tabularnewline
299 & 0.999999999993866 & 1.22679033526182e-11 & 6.13395167630908e-12 \tabularnewline
300 & 0.999999999988104 & 2.37915435945313e-11 & 1.18957717972656e-11 \tabularnewline
301 & 0.999999999972455 & 5.5090701093262e-11 & 2.7545350546631e-11 \tabularnewline
302 & 0.999999999950533 & 9.8934567023166e-11 & 4.9467283511583e-11 \tabularnewline
303 & 0.999999999884991 & 2.30017503099472e-10 & 1.15008751549736e-10 \tabularnewline
304 & 0.999999999731664 & 5.36672341212138e-10 & 2.68336170606069e-10 \tabularnewline
305 & 0.99999999940383 & 1.19233911207711e-09 & 5.96169556038554e-10 \tabularnewline
306 & 0.999999998637013 & 2.72597473009609e-09 & 1.36298736504804e-09 \tabularnewline
307 & 0.999999997154346 & 5.69130728246392e-09 & 2.84565364123196e-09 \tabularnewline
308 & 0.999999993737285 & 1.25254297199888e-08 & 6.26271485999439e-09 \tabularnewline
309 & 0.99999998630989 & 2.73802205828812e-08 & 1.36901102914406e-08 \tabularnewline
310 & 0.999999969980075 & 6.0039849540435e-08 & 3.00199247702175e-08 \tabularnewline
311 & 0.999999935167823 & 1.29664353561586e-07 & 6.48321767807928e-08 \tabularnewline
312 & 0.999999879107887 & 2.41784225935243e-07 & 1.20892112967622e-07 \tabularnewline
313 & 0.999999828295253 & 3.43409493659016e-07 & 1.71704746829508e-07 \tabularnewline
314 & 0.999999774604584 & 4.50790832481002e-07 & 2.25395416240501e-07 \tabularnewline
315 & 0.999999696197306 & 6.07605387317114e-07 & 3.03802693658557e-07 \tabularnewline
316 & 0.999999539794743 & 9.20410514686255e-07 & 4.60205257343128e-07 \tabularnewline
317 & 0.999999026747354 & 1.94650529270266e-06 & 9.73252646351329e-07 \tabularnewline
318 & 0.999998209629854 & 3.58074029250623e-06 & 1.79037014625312e-06 \tabularnewline
319 & 0.999996096030726 & 7.8079385477238e-06 & 3.9039692738619e-06 \tabularnewline
320 & 0.99999158894829 & 1.6822103420315e-05 & 8.41105171015751e-06 \tabularnewline
321 & 0.999982232111697 & 3.55357766059296e-05 & 1.77678883029648e-05 \tabularnewline
322 & 0.999963315037868 & 7.33699242637041e-05 & 3.66849621318521e-05 \tabularnewline
323 & 0.99992596837011 & 0.000148063259779835 & 7.40316298899176e-05 \tabularnewline
324 & 0.999911661864747 & 0.000176676270506397 & 8.83381352531985e-05 \tabularnewline
325 & 0.999844869270999 & 0.000310261458001256 & 0.000155130729000628 \tabularnewline
326 & 0.999793435918659 & 0.000413128162682242 & 0.000206564081341121 \tabularnewline
327 & 0.999770035697773 & 0.000459928604453153 & 0.000229964302226576 \tabularnewline
328 & 0.999625577389816 & 0.000748845220368929 & 0.000374422610184464 \tabularnewline
329 & 0.99922749053196 & 0.00154501893608071 & 0.000772509468040356 \tabularnewline
330 & 0.998992379076428 & 0.00201524184714492 & 0.00100762092357246 \tabularnewline
331 & 0.997969040455031 & 0.00406191908993751 & 0.00203095954496875 \tabularnewline
332 & 0.99636702881787 & 0.00726594236426023 & 0.00363297118213012 \tabularnewline
333 & 0.995403034886034 & 0.00919393022793173 & 0.00459696511396586 \tabularnewline
334 & 0.994366044561478 & 0.0112679108770447 & 0.00563395543852237 \tabularnewline
335 & 0.995178167713738 & 0.00964366457252367 & 0.00482183228626183 \tabularnewline
336 & 0.997578778002207 & 0.00484244399558677 & 0.00242122199779338 \tabularnewline
337 & 0.997485752637299 & 0.00502849472540215 & 0.00251424736270108 \tabularnewline
338 & 0.996539862544809 & 0.00692027491038287 & 0.00346013745519143 \tabularnewline
339 & 0.993175384686386 & 0.0136492306272273 & 0.00682461531361363 \tabularnewline
340 & 0.983281141387752 & 0.0334377172244966 & 0.0167188586122483 \tabularnewline
341 & 0.961687323861123 & 0.0766253522777545 & 0.0383126761388773 \tabularnewline
342 & 0.970594930827446 & 0.0588101383451087 & 0.0294050691725543 \tabularnewline
343 & 0.941059708862904 & 0.117880582274193 & 0.0589402911370965 \tabularnewline
344 & 0.886015738243676 & 0.227968523512649 & 0.113984261756324 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=185533&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]16[/C][C]0.803277840760496[/C][C]0.393444318479009[/C][C]0.196722159239504[/C][/ROW]
[ROW][C]17[/C][C]0.855612588853157[/C][C]0.288774822293687[/C][C]0.144387411146843[/C][/ROW]
[ROW][C]18[/C][C]0.776650347925455[/C][C]0.446699304149091[/C][C]0.223349652074545[/C][/ROW]
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[ROW][C]164[/C][C]0.0624376452752343[/C][C]0.124875290550469[/C][C]0.937562354724766[/C][/ROW]
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[ROW][C]249[/C][C]0.999999657090508[/C][C]6.85818983996841e-07[/C][C]3.4290949199842e-07[/C][/ROW]
[ROW][C]250[/C][C]0.999999923359191[/C][C]1.53281618709279e-07[/C][C]7.66408093546396e-08[/C][/ROW]
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[ROW][C]304[/C][C]0.999999999731664[/C][C]5.36672341212138e-10[/C][C]2.68336170606069e-10[/C][/ROW]
[ROW][C]305[/C][C]0.99999999940383[/C][C]1.19233911207711e-09[/C][C]5.96169556038554e-10[/C][/ROW]
[ROW][C]306[/C][C]0.999999998637013[/C][C]2.72597473009609e-09[/C][C]1.36298736504804e-09[/C][/ROW]
[ROW][C]307[/C][C]0.999999997154346[/C][C]5.69130728246392e-09[/C][C]2.84565364123196e-09[/C][/ROW]
[ROW][C]308[/C][C]0.999999993737285[/C][C]1.25254297199888e-08[/C][C]6.26271485999439e-09[/C][/ROW]
[ROW][C]309[/C][C]0.99999998630989[/C][C]2.73802205828812e-08[/C][C]1.36901102914406e-08[/C][/ROW]
[ROW][C]310[/C][C]0.999999969980075[/C][C]6.0039849540435e-08[/C][C]3.00199247702175e-08[/C][/ROW]
[ROW][C]311[/C][C]0.999999935167823[/C][C]1.29664353561586e-07[/C][C]6.48321767807928e-08[/C][/ROW]
[ROW][C]312[/C][C]0.999999879107887[/C][C]2.41784225935243e-07[/C][C]1.20892112967622e-07[/C][/ROW]
[ROW][C]313[/C][C]0.999999828295253[/C][C]3.43409493659016e-07[/C][C]1.71704746829508e-07[/C][/ROW]
[ROW][C]314[/C][C]0.999999774604584[/C][C]4.50790832481002e-07[/C][C]2.25395416240501e-07[/C][/ROW]
[ROW][C]315[/C][C]0.999999696197306[/C][C]6.07605387317114e-07[/C][C]3.03802693658557e-07[/C][/ROW]
[ROW][C]316[/C][C]0.999999539794743[/C][C]9.20410514686255e-07[/C][C]4.60205257343128e-07[/C][/ROW]
[ROW][C]317[/C][C]0.999999026747354[/C][C]1.94650529270266e-06[/C][C]9.73252646351329e-07[/C][/ROW]
[ROW][C]318[/C][C]0.999998209629854[/C][C]3.58074029250623e-06[/C][C]1.79037014625312e-06[/C][/ROW]
[ROW][C]319[/C][C]0.999996096030726[/C][C]7.8079385477238e-06[/C][C]3.9039692738619e-06[/C][/ROW]
[ROW][C]320[/C][C]0.99999158894829[/C][C]1.6822103420315e-05[/C][C]8.41105171015751e-06[/C][/ROW]
[ROW][C]321[/C][C]0.999982232111697[/C][C]3.55357766059296e-05[/C][C]1.77678883029648e-05[/C][/ROW]
[ROW][C]322[/C][C]0.999963315037868[/C][C]7.33699242637041e-05[/C][C]3.66849621318521e-05[/C][/ROW]
[ROW][C]323[/C][C]0.99992596837011[/C][C]0.000148063259779835[/C][C]7.40316298899176e-05[/C][/ROW]
[ROW][C]324[/C][C]0.999911661864747[/C][C]0.000176676270506397[/C][C]8.83381352531985e-05[/C][/ROW]
[ROW][C]325[/C][C]0.999844869270999[/C][C]0.000310261458001256[/C][C]0.000155130729000628[/C][/ROW]
[ROW][C]326[/C][C]0.999793435918659[/C][C]0.000413128162682242[/C][C]0.000206564081341121[/C][/ROW]
[ROW][C]327[/C][C]0.999770035697773[/C][C]0.000459928604453153[/C][C]0.000229964302226576[/C][/ROW]
[ROW][C]328[/C][C]0.999625577389816[/C][C]0.000748845220368929[/C][C]0.000374422610184464[/C][/ROW]
[ROW][C]329[/C][C]0.99922749053196[/C][C]0.00154501893608071[/C][C]0.000772509468040356[/C][/ROW]
[ROW][C]330[/C][C]0.998992379076428[/C][C]0.00201524184714492[/C][C]0.00100762092357246[/C][/ROW]
[ROW][C]331[/C][C]0.997969040455031[/C][C]0.00406191908993751[/C][C]0.00203095954496875[/C][/ROW]
[ROW][C]332[/C][C]0.99636702881787[/C][C]0.00726594236426023[/C][C]0.00363297118213012[/C][/ROW]
[ROW][C]333[/C][C]0.995403034886034[/C][C]0.00919393022793173[/C][C]0.00459696511396586[/C][/ROW]
[ROW][C]334[/C][C]0.994366044561478[/C][C]0.0112679108770447[/C][C]0.00563395543852237[/C][/ROW]
[ROW][C]335[/C][C]0.995178167713738[/C][C]0.00964366457252367[/C][C]0.00482183228626183[/C][/ROW]
[ROW][C]336[/C][C]0.997578778002207[/C][C]0.00484244399558677[/C][C]0.00242122199779338[/C][/ROW]
[ROW][C]337[/C][C]0.997485752637299[/C][C]0.00502849472540215[/C][C]0.00251424736270108[/C][/ROW]
[ROW][C]338[/C][C]0.996539862544809[/C][C]0.00692027491038287[/C][C]0.00346013745519143[/C][/ROW]
[ROW][C]339[/C][C]0.993175384686386[/C][C]0.0136492306272273[/C][C]0.00682461531361363[/C][/ROW]
[ROW][C]340[/C][C]0.983281141387752[/C][C]0.0334377172244966[/C][C]0.0167188586122483[/C][/ROW]
[ROW][C]341[/C][C]0.961687323861123[/C][C]0.0766253522777545[/C][C]0.0383126761388773[/C][/ROW]
[ROW][C]342[/C][C]0.970594930827446[/C][C]0.0588101383451087[/C][C]0.0294050691725543[/C][/ROW]
[ROW][C]343[/C][C]0.941059708862904[/C][C]0.117880582274193[/C][C]0.0589402911370965[/C][/ROW]
[ROW][C]344[/C][C]0.886015738243676[/C][C]0.227968523512649[/C][C]0.113984261756324[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=185533&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=185533&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
160.8032778407604960.3934443184790090.196722159239504
170.8556125888531570.2887748222936870.144387411146843
180.7766503479254550.4466993041490910.223349652074545
190.6758365724264470.6483268551471070.324163427573553
200.5719178213539460.8561643572921070.428082178646054
210.4690305927667320.9380611855334640.530969407233268
220.3703752960381780.7407505920763560.629624703961822
230.2917426927833650.5834853855667310.708257307216635
240.2278595164687210.4557190329374420.772140483531279
250.3141480357730560.6282960715461120.685851964226944
260.348134173878060.696268347756120.65186582612194
270.5841689316786720.8316621366426560.415831068321328
280.5647739241478820.8704521517042360.435226075852118
290.4946704565790170.9893409131580350.505329543420983
300.4290962388833140.8581924777666280.570903761116686
310.363670956485780.727341912971560.63632904351422
320.3300405964200270.6600811928400530.669959403579973
330.2844939647804710.5689879295609420.715506035219529
340.2394308459280780.4788616918561560.760569154071922
350.1993309839832970.3986619679665940.800669016016703
360.1624605265550860.3249210531101730.837539473444914
370.1445089509550840.2890179019101680.855491049044916
380.1307486628098130.2614973256196260.869251337190187
390.1008981146294390.2017962292588780.899101885370561
400.08827621803996910.1765524360799380.911723781960031
410.07519154499400210.1503830899880040.924808455005998
420.05841949242820350.1168389848564070.941580507571797
430.04329946304869830.08659892609739670.956700536951302
440.03155900381900440.06311800763800870.968440996180996
450.02274450685751760.04548901371503530.977255493142482
460.01615701815708680.03231403631417350.983842981842913
470.01145436626735740.02290873253471480.988545633732643
480.01048679334704240.02097358669408480.989513206652958
490.007612318632208190.01522463726441640.992387681367792
500.007063501990301040.01412700398060210.992936498009699
510.009299676735133370.01859935347026670.990700323264867
520.01227045152592450.0245409030518490.987729548474075
530.0177549188692650.03550983773853010.982245081130735
540.01956066692514140.03912133385028270.980439333074859
550.02250577535973210.04501155071946420.977494224640268
560.02371329787318820.04742659574637640.976286702126812
570.02153068750913070.04306137501826150.978469312490869
580.02669779819642240.05339559639284480.973302201803578
590.04380100632461840.08760201264923680.956198993675382
600.0461209979296360.0922419958592720.953879002070364
610.04063439227524020.08126878455048040.95936560772476
620.03401419895987480.06802839791974970.965985801040125
630.03617868340646880.07235736681293750.963821316593531
640.03948044727601620.07896089455203250.960519552723984
650.04181889318058940.08363778636117890.958181106819411
660.04039160866173350.0807832173234670.959608391338266
670.04081268766181460.08162537532362920.959187312338185
680.03851317318751780.07702634637503560.961486826812482
690.0343884190410280.06877683808205590.965611580958972
700.04722010406039960.09444020812079920.9527798959396
710.04893771171319030.09787542342638060.95106228828681
720.0445212957610170.0890425915220340.955478704238983
730.04028112845913170.08056225691826350.959718871540868
740.03643330402351840.07286660804703670.963566695976482
750.03217725046643840.06435450093287670.967822749533562
760.02867223500221970.05734447000443930.97132776499778
770.02588320947520960.05176641895041920.97411679052479
780.02312233673907490.04624467347814990.976877663260925
790.02188498774343770.04376997548687530.978115012256562
800.02144769861088170.04289539722176340.978552301389118
810.02043640583170630.04087281166341250.979563594168294
820.01946572572435670.03893145144871330.980534274275643
830.01826829584147330.03653659168294670.981731704158527
840.01808294018756390.03616588037512770.981917059812436
850.02213618307973310.04427236615946620.977863816920267
860.0283140787199560.0566281574399120.971685921280044
870.03176511055808310.06353022111616630.968234889441917
880.0358617376036990.07172347520739790.964138262396301
890.03836382334637040.07672764669274080.96163617665363
900.04411669317266660.08823338634533320.955883306827333
910.05605506111556470.1121101222311290.943944938884435
920.06033859779890240.1206771955978050.939661402201098
930.06505204269116820.1301040853823360.934947957308832
940.08340686012700790.1668137202540160.916593139872992
950.1068101980533370.2136203961066740.893189801946663
960.1244271279530740.2488542559061480.875572872046926
970.1673933193301820.3347866386603630.832606680669818
980.2138063061519520.4276126123039050.786193693848048
990.2318733991942810.4637467983885630.768126600805719
1000.2729171451538670.5458342903077330.727082854846133
1010.3215562196958940.6431124393917890.678443780304106
1020.3458603013612490.6917206027224980.654139698638751
1030.3767437920891350.753487584178270.623256207910865
1040.402859866351450.8057197327028990.59714013364855
1050.4154648645558170.8309297291116340.584535135444183
1060.4435409961176290.8870819922352590.556459003882371
1070.4464327953497980.8928655906995960.553567204650202
1080.4383121232207190.8766242464414380.561687876779281
1090.4403937449002460.8807874898004930.559606255099754
1100.5910043604595850.817991279080830.408995639540415
1110.647537946682280.7049241066354390.35246205331772
1120.6633418764317030.6733162471365930.336658123568297
1130.6567446120889910.6865107758220180.343255387911009
1140.6464081713465510.7071836573068990.353591828653449
1150.6247999745278410.7504000509443190.375200025472159
1160.5962786496806190.8074427006387610.403721350319381
1170.5680580107608360.8638839784783270.431941989239164
1180.5392957200811960.9214085598376080.460704279918804
1190.509163339455420.9816733210891610.49083666054458
1200.482816444929280.965632889858560.51718355507072
1210.4644603091623780.9289206183247560.535539690837622
1220.4354782056581790.8709564113163580.564521794341821
1230.4063437465793980.8126874931587950.593656253420602
1240.3785962721393930.7571925442787850.621403727860607
1250.3539703904307680.7079407808615350.646029609569232
1260.3311187005339120.6622374010678240.668881299466088
1270.3176231601086070.6352463202172140.682376839891393
1280.315106525506790.630213051013580.68489347449321
1290.3039793276943780.6079586553887560.696020672305622
1300.2888851749978820.5777703499957640.711114825002118
1310.2770958175337550.5541916350675110.722904182466245
1320.2641548259583030.5283096519166050.735845174041697
1330.2504411286645480.5008822573290970.749558871335452
1340.2367617586070580.4735235172141160.763238241392942
1350.2223528520917540.4447057041835070.777647147908246
1360.2067386523505650.413477304701130.793261347649435
1370.1926587696908270.3853175393816530.807341230309173
1380.1800703011824440.3601406023648880.819929698817556
1390.1711811056195590.3423622112391170.828818894380441
1400.1661286552257690.3322573104515370.833871344774231
1410.1605407147077030.3210814294154050.839459285292298
1420.1532825997418060.3065651994836130.846717400258194
1430.1416119380608010.2832238761216020.858388061939199
1440.1310168562373880.2620337124747770.868983143762612
1450.1254733228912840.2509466457825690.874526677108716
1460.125504020227670.251008040455340.87449597977233
1470.1268798915895810.2537597831791610.873120108410419
1480.1179496811094610.2358993622189220.882050318890539
1490.1140094766130640.2280189532261280.885990523386936
1500.1079333924077050.2158667848154110.892066607592295
1510.1046698304678520.2093396609357040.895330169532148
1520.1022404351773120.2044808703546250.897759564822688
1530.1002368312311140.2004736624622280.899763168768886
1540.09698047411664320.1939609482332860.903019525883357
1550.09014173360528830.1802834672105770.909858266394712
1560.08540999905863660.1708199981172730.914590000941363
1570.08495909623465330.1699181924693070.915040903765347
1580.08390805099162510.167816101983250.916091949008375
1590.07682692811215640.1536538562243130.923173071887844
1600.06944857991010980.138897159820220.93055142008989
1610.06349581166567490.126991623331350.936504188334325
1620.06028889082008010.120577781640160.93971110917992
1630.06071140795503450.1214228159100690.939288592044966
1640.06243764527523430.1248752905504690.937562354724766
1650.05870333172474060.1174066634494810.941296668275259
1660.05591388566044030.1118277713208810.94408611433956
1670.05320049019529120.1064009803905820.946799509804709
1680.05116095140993540.1023219028198710.948839048590065
1690.05179168939681890.1035833787936380.948208310603181
1700.05060395008119220.1012079001623840.949396049918808
1710.046293915651650.09258783130330.95370608434835
1720.04147227592726610.08294455185453210.958527724072734
1730.0365904476350190.07318089527003790.963409552364981
1740.03246958617524460.06493917235048920.967530413824755
1750.03043400954916370.06086801909832730.969565990450836
1760.03039233166701350.06078466333402710.969607668332987
1770.02993204817244120.05986409634488230.970067951827559
1780.0289326959032490.05786539180649810.971067304096751
1790.02696346132357840.05392692264715680.973036538676422
1800.02469396997894410.04938793995788820.975306030021056
1810.0232632383924970.04652647678499390.976736761607503
1820.02088456952033270.04176913904066540.979115430479667
1830.01855601214793680.03711202429587360.981443987852063
1840.01690365187684190.03380730375368390.983096348123158
1850.01521835846043460.03043671692086930.984781641539565
1860.01377263794276880.02754527588553770.986227362057231
1870.01335329006658930.02670658013317850.986646709933411
1880.01361025863363180.02722051726726360.986389741366368
1890.01378152507276590.02756305014553180.986218474927234
1900.01369748720642060.02739497441284120.986302512793579
1910.01326653886673170.02653307773346340.986733461133268
1920.01247171635823750.0249434327164750.987528283641762
1930.01241491156241340.02482982312482680.987585088437587
1940.01126340320242620.02252680640485240.988736596797574
1950.01002595100791610.02005190201583220.989974048992084
1960.009109273324636060.01821854664927210.990890726675364
1970.008096929513426390.01619385902685280.991903070486574
1980.00727332927208650.0145466585441730.992726670727914
1990.0070457087800580.0140914175601160.992954291219942
2000.008248461099464670.01649692219892930.991751538900535
2010.009283103856369670.01856620771273930.99071689614363
2020.01085477234076040.02170954468152070.98914522765924
2030.01121900000633780.02243800001267560.988780999993662
2040.01067384559537340.02134769119074680.989326154404627
2050.01057775204636820.02115550409273650.989422247953632
2060.01057640124666240.02115280249332490.989423598753338
2070.01856685089014260.03713370178028520.981433149109857
2080.03292159852936320.06584319705872650.967078401470637
2090.05306022348181030.1061204469636210.94693977651819
2100.07989836293791260.1597967258758250.920101637062087
2110.07679866627813120.1535973325562620.923201333721869
2120.2399891916239980.4799783832479960.760010808376002
2130.3538712461233640.7077424922467280.646128753876636
2140.4640162733076850.9280325466153710.535983726692315
2150.6279408852068920.7441182295862160.372059114793108
2160.7724380397157840.4551239205684320.227561960284216
2170.8824238500882690.2351522998234630.117576149911731
2180.9256161914276610.1487676171446790.0743838085723393
2190.9489373241068780.1021253517862430.0510626758931215
2200.9620309493425020.07593810131499660.0379690506574983
2210.9678820764178110.06423584716437850.0321179235821892
2220.9743591276271830.05128174474563480.0256408723728174
2230.9763774040534110.04724519189317850.0236225959465892
2240.9813224459133730.03735510817325370.0186775540866268
2250.985575330471410.02884933905717980.0144246695285899
2260.9880821742707860.02383565145842750.0119178257292138
2270.9909076174743770.0181847650512460.00909238252562299
2280.9927426396956230.01451472060875380.00725736030437692
2290.9928759527064430.01424809458711390.00712404729355697
2300.9926350117221290.01472997655574290.00736498827787143
2310.9922690066322380.01546198673552460.00773099336776231
2320.9917777514713020.01644449705739540.00822224852869769
2330.9902458154068130.01950836918637390.00975418459318696
2340.9884399316977780.02312013660444350.0115600683022218
2350.9860684657462820.02786306850743620.0139315342537181
2360.9877659849090460.0244680301819090.0122340150909545
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2400.9931141534331380.01377169313372470.00688584656686233
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2430.9998133335761290.0003733328477415060.000186666423870753
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2460.999989146261482.17074770398085e-051.08537385199043e-05
2470.9999924310014211.51379971581251e-057.56899857906253e-06
2480.9999977301882344.53962353120919e-062.26981176560459e-06
2490.9999996570905086.85818983996841e-073.4290949199842e-07
2500.9999999233591911.53281618709279e-077.66408093546396e-08
2510.9999999951719099.65618221303935e-094.82809110651967e-09
2520.9999999989013692.19726138260038e-091.09863069130019e-09
2530.9999999990907811.81843843328917e-099.09219216644585e-10
2540.9999999987859572.42808660466919e-091.21404330233459e-09
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2560.9999999996953316.09337025094695e-103.04668512547347e-10
2570.9999999998543892.91221726995673e-101.45610863497837e-10
2580.9999999998966382.0672390807e-101.03361954035e-10
2590.9999999998947432.10513518989349e-101.05256759494675e-10
2600.9999999998614642.77072067297794e-101.38536033648897e-10
2610.9999999998512822.97436832075497e-101.48718416037748e-10
2620.9999999997867054.26589291571202e-102.13294645785601e-10
2630.9999999997196565.60688880902345e-102.80344440451173e-10
2640.9999999996299527.40095249284251e-103.70047624642126e-10
2650.9999999993669951.26601026854915e-096.33005134274577e-10
2660.9999999989891822.02163532666768e-091.01081766333384e-09
2670.9999999985683922.86321620676039e-091.43160810338019e-09
2680.9999999977871924.42561537517981e-092.2128076875899e-09
2690.9999999970252095.94958135716486e-092.97479067858243e-09
2700.9999999951231389.75372415105792e-094.87686207552896e-09
2710.9999999924204291.51591413778942e-087.5795706889471e-09
2720.9999999890445052.19109903518267e-081.09554951759133e-08
2730.9999999864114022.7177196768258e-081.3588598384129e-08
2740.9999999907049341.8590132245998e-089.29506612299898e-09
2750.9999999872549272.54901453122375e-081.27450726561188e-08
2760.9999999793925524.12148964422669e-082.06074482211335e-08
2770.9999999853925332.92149347500604e-081.46074673750302e-08
2780.999999998525122.9497608716953e-091.47488043584765e-09
2790.9999999997920454.15909050008655e-102.07954525004327e-10
2800.9999999999554588.90843288421391e-114.45421644210695e-11
2810.9999999999860522.78949761720346e-111.39474880860173e-11
2820.999999999993361.32798313236545e-116.63991566182725e-12
2830.9999999999964097.18170898063136e-123.59085449031568e-12
2840.9999999999985372.92676400065771e-121.46338200032885e-12
2850.999999999998852.30081996470022e-121.15040998235011e-12
2860.9999999999991441.71291486939299e-128.56457434696496e-13
2870.9999999999993361.32778917197523e-126.63894585987616e-13
2880.9999999999995578.86145631010823e-134.43072815505412e-13
2890.9999999999996277.45997646668941e-133.7299882333447e-13
2900.9999999999998872.25498391903799e-131.127491959519e-13
2910.9999999999999568.87260176841215e-144.43630088420607e-14
2920.999999999999921.59568083922566e-137.9784041961283e-14
2930.9999999999998093.82049346188515e-131.91024673094258e-13
2940.9999999999998163.6710661730242e-131.8355330865121e-13
2950.9999999999996437.13516845933568e-133.56758422966784e-13
2960.9999999999991461.70833474555978e-128.54167372779891e-13
2970.9999999999979554.08990129874645e-122.04495064937322e-12
2980.9999999999961867.62852234733286e-123.81426117366643e-12
2990.9999999999938661.22679033526182e-116.13395167630908e-12
3000.9999999999881042.37915435945313e-111.18957717972656e-11
3010.9999999999724555.5090701093262e-112.7545350546631e-11
3020.9999999999505339.8934567023166e-114.9467283511583e-11
3030.9999999998849912.30017503099472e-101.15008751549736e-10
3040.9999999997316645.36672341212138e-102.68336170606069e-10
3050.999999999403831.19233911207711e-095.96169556038554e-10
3060.9999999986370132.72597473009609e-091.36298736504804e-09
3070.9999999971543465.69130728246392e-092.84565364123196e-09
3080.9999999937372851.25254297199888e-086.26271485999439e-09
3090.999999986309892.73802205828812e-081.36901102914406e-08
3100.9999999699800756.0039849540435e-083.00199247702175e-08
3110.9999999351678231.29664353561586e-076.48321767807928e-08
3120.9999998791078872.41784225935243e-071.20892112967622e-07
3130.9999998282952533.43409493659016e-071.71704746829508e-07
3140.9999997746045844.50790832481002e-072.25395416240501e-07
3150.9999996961973066.07605387317114e-073.03802693658557e-07
3160.9999995397947439.20410514686255e-074.60205257343128e-07
3170.9999990267473541.94650529270266e-069.73252646351329e-07
3180.9999982096298543.58074029250623e-061.79037014625312e-06
3190.9999960960307267.8079385477238e-063.9039692738619e-06
3200.999991588948291.6822103420315e-058.41105171015751e-06
3210.9999822321116973.55357766059296e-051.77678883029648e-05
3220.9999633150378687.33699242637041e-053.66849621318521e-05
3230.999925968370110.0001480632597798357.40316298899176e-05
3240.9999116618647470.0001766762705063978.83381352531985e-05
3250.9998448692709990.0003102614580012560.000155130729000628
3260.9997934359186590.0004131281626822420.000206564081341121
3270.9997700356977730.0004599286044531530.000229964302226576
3280.9996255773898160.0007488452203689290.000374422610184464
3290.999227490531960.001545018936080710.000772509468040356
3300.9989923790764280.002015241847144920.00100762092357246
3310.9979690404550310.004061919089937510.00203095954496875
3320.996367028817870.007265942364260230.00363297118213012
3330.9954030348860340.009193930227931730.00459696511396586
3340.9943660445614780.01126791087704470.00563395543852237
3350.9951781677137380.009643664572523670.00482183228626183
3360.9975787780022070.004842443995586770.00242122199779338
3370.9974857526372990.005028494725402150.00251424736270108
3380.9965398625448090.006920274910382870.00346013745519143
3390.9931753846863860.01364923062722730.00682461531361363
3400.9832811413877520.03343771722449660.0167188586122483
3410.9616873238611230.07662535227775450.0383126761388773
3420.9705949308274460.05881013834510870.0294050691725543
3430.9410597088629040.1178805822741930.0589402911370965
3440.8860157382436760.2279685235126490.113984261756324







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level950.288753799392097NOK
5% type I error level1670.507598784194529NOK
10% type I error level2090.635258358662614NOK

\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 & 95 & 0.288753799392097 & NOK \tabularnewline
5% type I error level & 167 & 0.507598784194529 & NOK \tabularnewline
10% type I error level & 209 & 0.635258358662614 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=185533&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]95[/C][C]0.288753799392097[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]167[/C][C]0.507598784194529[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]209[/C][C]0.635258358662614[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=185533&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=185533&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 level950.288753799392097NOK
5% type I error level1670.507598784194529NOK
10% type I error level2090.635258358662614NOK



Parameters (Session):
par1 = 2 ; par2 = Include Monthly Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 2 ; par2 = Include Monthly Dummies ; par3 = No 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')
}