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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationMon, 15 Dec 2014 12:39:23 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/15/t1418647195iv3crho07xrm41f.htm/, Retrieved Thu, 16 May 2024 23:33:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=268260, Retrieved Thu, 16 May 2024 23:33:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact70

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2014-12-15 12:39:23] [4ade5e15fc88dfcb6333f94ac70b9a75] [Current]
- RMPD    [Skewness and Kurtosis Test] [] [2015-01-15 16:21:18] [bca3c6529212edfac3e771806c79a908]
- RMPD    [Central Tendency] [] [2015-01-15 16:22:21] [bca3c6529212edfac3e771806c79a908]
- RMPD    [Two-Way ANOVA] [] [2015-01-15 16:24:26] [bca3c6529212edfac3e771806c79a908]
- RMPD    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2015-01-15 16:25:58] [bca3c6529212edfac3e771806c79a908]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
26 50 4 12.9
57 62 4 12.2
37 54 5 12.8
67 71 4 7.4
43 54 4 6.7
52 65 9 12.6
52 73 8 14.8
43 52 11 13.3
84 84 4 11.1
67 42 4 8.2
49 66 6 11.4
70 65 4 6.4
52 78 8 10.6
58 73 4 12
68 75 4 6.3
62 72 11 11.3
43 66 4 11.9
56 70 4 9.3
56 61 6 9.6
74 81 6 10
65 71 4 6.4
63 69 8 13.8
58 71 5 10.8
57 72 4 13.8
63 68 9 11.7
53 70 4 10.9
57 68 7 16.1
51 61 10 13.4
64 67 4 9.9
53 76 4 11.5
29 70 7 8.3
54 60 12 11.7
58 72 7 9
43 69 5 9.7
51 71 8 10.8
53 62 5 10.3
54 70 4 10.4
56 64 9 12.7
61 58 7 9.3
47 76 4 11.8
39 52 4 5.9
48 59 4 11.4
50 68 4 13
35 76 4 10.8
30 65 7 12.3
68 67 4 11.3
49 59 7 11.8
61 69 4 7.9
67 76 4 12.7
47 63 4 12.3
56 75 4 11.6
50 63 8 6.7
43 60 4 10.9
67 73 4 12.1
62 63 4 13.3
57 70 4 10.1
41 75 7 5.7
54 66 12 14.3
45 63 4 8
48 63 4 13.3
61 64 4 9.3
56 70 5 12.5
41 75 15 7.6
43 61 5 15.9
53 60 10 9.2
44 62 9 9.1
66 73 8 11.1
58 61 4 13
46 66 5 14.5
37 64 4 12.2
51 59 9 12.3
51 64 4 11.4
56 60 10 8.8
66 56 4 14.6
37 78 4 12.6
42 67 7 13
38 59 5 12.6
66 66 4 13.2
34 68 4 9.9
53 71 4 7.7
49 66 4 10.5
55 73 4 13.4
49 72 4 10.9
59 71 6 4.3
40 59 10 10.3
58 64 7 11.8
60 66 4 11.2
63 78 4 11.4
56 68 7 8.6
54 73 4 13.2
52 62 8 12.6
34 65 11 5.6
69 68 6 9.9
32 65 14 8.8
48 60 5 7.7
67 71 4 9
58 65 8 7.3
57 68 9 11.4
42 64 4 13.6
64 74 4 7.9
58 69 5 10.7
66 76 4 10.3
26 68 5 8.3
61 72 4 9.6
52 67 4 14.2
51 63 7 8.5
55 59 10 13.5
50 73 4 4.9
60 66 5 6.4
56 62 4 9.6
63 69 4 11.6
61 66 4 11.1
52 51 6 4.35
16 56 4 12.7
46 67 8 18.1
56 69 5 17.85
52 57 4 16.6
55 56 17 12.6
50 55 4 17.1
59 63 4 19.1
60 67 8 16.1
52 65 4 13.35
44 47 7 18.4
67 76 4 14.7
52 64 4 10.6
55 68 5 12.6
37 64 7 16.2
54 65 4 13.6
72 71 4 18.9
51 63 7 14.1
48 60 11 14.5
60 68 7 16.15
50 72 4 14.75
63 70 4 14.8
33 61 4 12.45
67 61 4 12.65
46 62 4 17.35
54 71 4 8.6
59 71 6 18.4
61 51 8 16.1
33 56 23 11.6
47 70 4 17.75
69 73 8 15.25
52 76 6 17.65
55 68 4 16.35
41 48 7 17.65
73 52 4 13.6
52 60 4 14.35
50 59 4 14.75
51 57 10 18.25
60 79 6 9.9
56 60 5 16
56 60 5 18.25
29 59 4 16.85
66 62 4 14.6
66 59 5 13.85
73 61 5 18.95
55 71 5 15.6
64 57 5 14.85
40 66 4 11.75
46 63 6 18.45
58 69 4 15.9
43 58 4 17.1
61 59 4 16.1
51 48 9 19.9
50 66 18 10.95
52 73 6 18.45
54 67 5 15.1
66 61 4 15
61 68 11 11.35
80 75 4 15.95
51 62 10 18.1
56 69 6 14.6
56 58 8 15.4
56 60 8 15.4
53 74 6 17.6
47 55 8 13.35
25 62 4 19.1
47 63 4 15.35
46 69 9 7.6
50 58 9 13.4
39 58 5 13.9
51 68 4 19.1
58 72 4 15.25
35 62 15 12.9
58 62 10 16.1
60 65 9 17.35
62 69 7 13.15
63 66 9 12.15
53 72 6 12.6
46 62 4 10.35
67 75 7 15.4
59 58 4 9.6
64 66 7 18.2
38 55 4 13.6
50 47 15 14.85
48 72 4 14.75
48 62 9 14.1
47 64 4 14.9
66 64 4 16.25
47 19 28 19.25
63 50 4 13.6
58 68 4 13.6
44 70 4 15.65
51 79 5 12.75
43 69 4 14.6
55 71 4 9.85
38 48 12 12.65
45 73 4 19.2
50 74 6 16.6
54 66 6 11.2
57 71 5 15.25
60 74 4 11.9
55 78 4 13.2
56 75 4 16.35
49 53 10 12.4
37 60 7 15.85
59 70 4 18.15
46 69 7 11.15
51 65 4 15.65
58 78 4 17.75
64 78 12 7.65
53 59 5 12.35
48 72 8 15.6
51 70 6 19.3
47 63 17 15.2
59 63 4 17.1
62 71 5 15.6
62 74 4 18.4
51 67 5 19.05
64 66 5 18.55
52 62 6 19.1
67 80 4 13.1
50 73 4 12.85
54 67 4 9.5
58 61 6 4.5
56 73 8 11.85
63 74 10 13.6
31 32 4 11.7
65 69 5 12.4
71 69 4 13.35
50 84 4 11.4
57 64 4 14.9
47 58 16 19.9
47 59 7 11.2
57 78 4 14.6
43 57 4 17.6
41 60 14 14.05
63 68 5 16.1
63 68 5 13.35
56 73 5 11.85
51 69 5 11.95
50 67 7 14.75
22 60 19 15.15
41 65 16 13.2
59 66 4 16.85
56 74 4 7.85
66 81 7 7.7
53 72 9 12.6
42 55 5 7.85
52 49 14 10.95
54 74 4 12.35
44 53 16 9.95
62 64 10 14.9
53 65 5 16.65
50 57 6 13.4
36 51 4 13.95
76 80 4 15.7
66 67 4 16.85
62 70 5 10.95
59 74 4 15.35
47 75 4 12.2
55 70 5 15.1
58 69 4 17.75
60 65 4 15.2
44 55 5 14.6
57 71 8 16.65
45 65 15 8.1

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 8 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268260&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]8 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268260&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268260&T=0

As an alternative you can also use a QR Code:  
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 time8 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Multiple Linear Regression - Estimated Regression Equation
TOT[t] = + 16.0331 + 0.0201064AMS.I[t] -0.0601516AMS.E[t] -0.0292916AMS.A[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
TOT[t] =  +  16.0331 +  0.0201064AMS.I[t] -0.0601516AMS.E[t] -0.0292916AMS.A[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268260&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]TOT[t] =  +  16.0331 +  0.0201064AMS.I[t] -0.0601516AMS.E[t] -0.0292916AMS.A[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268260&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268260&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Estimated Regression Equation
TOT[t] = + 16.0331 + 0.0201064AMS.I[t] -0.0601516AMS.E[t] -0.0292916AMS.A[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)16.03312.011327.9714.25927e-142.12964e-14
AMS.I0.02010640.02123220.9470.3444850.172242
AMS.E-0.06015160.0276817-2.1730.03063910.0153195
AMS.A-0.02929160.0625714-0.46810.6400630.320032

\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) & 16.0331 & 2.01132 & 7.971 & 4.25927e-14 & 2.12964e-14 \tabularnewline
AMS.I & 0.0201064 & 0.0212322 & 0.947 & 0.344485 & 0.172242 \tabularnewline
AMS.E & -0.0601516 & 0.0276817 & -2.173 & 0.0306391 & 0.0153195 \tabularnewline
AMS.A & -0.0292916 & 0.0625714 & -0.4681 & 0.640063 & 0.320032 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268260&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]16.0331[/C][C]2.01132[/C][C]7.971[/C][C]4.25927e-14[/C][C]2.12964e-14[/C][/ROW]
[ROW][C]AMS.I[/C][C]0.0201064[/C][C]0.0212322[/C][C]0.947[/C][C]0.344485[/C][C]0.172242[/C][/ROW]
[ROW][C]AMS.E[/C][C]-0.0601516[/C][C]0.0276817[/C][C]-2.173[/C][C]0.0306391[/C][C]0.0153195[/C][/ROW]
[ROW][C]AMS.A[/C][C]-0.0292916[/C][C]0.0625714[/C][C]-0.4681[/C][C]0.640063[/C][C]0.320032[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268260&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268260&T=2

As an alternative you can also use a QR Code:  
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)16.03312.011327.9714.25927e-142.12964e-14
AMS.I0.02010640.02123220.9470.3444850.172242
AMS.E-0.06015160.0276817-2.1730.03063910.0153195
AMS.A-0.02929160.0625714-0.46810.6400630.320032






Multiple Linear Regression - Regression Statistics
Multiple R0.131539
R-squared0.0173024
Adjusted R-squared0.00654292
F-TEST (value)1.60811
F-TEST (DF numerator)3
F-TEST (DF denominator)274
p-value0.187753
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.38324
Sum Squared Residuals3136.28

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.131539 \tabularnewline
R-squared & 0.0173024 \tabularnewline
Adjusted R-squared & 0.00654292 \tabularnewline
F-TEST (value) & 1.60811 \tabularnewline
F-TEST (DF numerator) & 3 \tabularnewline
F-TEST (DF denominator) & 274 \tabularnewline
p-value & 0.187753 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 3.38324 \tabularnewline
Sum Squared Residuals & 3136.28 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268260&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.131539[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0173024[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.00654292[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]1.60811[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]3[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]274[/C][/ROW]
[ROW][C]p-value[/C][C]0.187753[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]3.38324[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]3136.28[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268260&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268260&T=3

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Regression Statistics
Multiple R0.131539
R-squared0.0173024
Adjusted R-squared0.00654292
F-TEST (value)1.60811
F-TEST (DF numerator)3
F-TEST (DF denominator)274
p-value0.187753
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.38324
Sum Squared Residuals3136.28






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
112.913.4311-0.531142
212.213.3326-1.13262
312.813.3824-0.582415
47.412.9923-5.59232
56.713.5323-6.83235
612.612.9052-0.305178
714.812.45332.34674
813.313.4476-0.147607
911.112.5522-1.45216
108.214.7367-6.53672
1111.412.8726-1.47258
126.413.4136-7.01355
1310.612.1525-1.5525
141212.6911-0.691061
156.312.7718-6.47182
1611.312.6266-1.3266
1711.912.8105-0.910526
189.312.8313-3.5313
199.613.3141-3.71408
201012.473-2.47297
216.412.9521-6.55211
2213.812.9150.884966
2310.812.7821-1.98207
2413.812.73111.06889
2511.712.9459-1.24589
2610.912.771-1.87098
2716.112.88383.21616
2813.413.09640.303614
299.913.1726-3.27261
3011.512.4101-0.910074
318.312.2006-3.90055
3211.713.1583-1.45827
33912.6633-3.66334
349.712.6008-2.90078
3510.812.5535-1.75345
3610.313.2229-2.92291
3710.412.7911-2.39109
3812.713.0458-0.345755
399.313.5658-4.26578
4011.812.2894-0.489436
415.913.5722-7.67222
4211.413.3321-1.93212
431312.8310.169032
4410.812.0482-1.24816
4512.312.5214-0.221419
4611.313.253-1.95304
4711.813.2644-1.46435
487.912.992-5.09199
4912.712.69160.00843549
5012.313.0714-0.771406
5111.612.5305-0.930545
526.713.0146-6.31456
5310.913.1714-2.27144
5412.112.872-0.772019
5513.313.373-0.0730031
5610.112.8514-2.75141
575.712.1411-6.44107
5814.312.79741.50264
59813.0312-5.03119
6013.313.09150.208487
619.313.2927-3.99275
6212.512.802-0.302012
637.611.9067-4.30674
6415.913.0822.81801
659.213.1968-3.99675
669.112.9248-3.82478
6711.112.7347-1.63475
681313.4129-0.412881
6914.512.84161.65845
7012.212.8102-0.61019
7112.313.246-0.945981
7211.413.0917-1.69168
738.813.2571-4.45707
7414.613.87450.72551
7512.611.96810.631932
761312.64240.357607
7712.613.1018-0.501763
7813.213.273-0.0729741
799.912.5093-2.60926
807.712.7108-5.01083
8110.512.9312-2.43116
8213.412.63070.769258
8310.912.5703-1.67025
844.312.7729-8.47289
8510.312.9955-2.69552
8611.813.1446-1.34455
8711.213.1523-1.95234
8811.412.4908-1.09084
898.612.8637-4.26373
9013.212.61060.589365
9112.613.1149-0.514924
925.612.4847-6.88468
939.913.1544-3.25441
948.812.3566-3.55659
957.713.2427-5.54268
96912.9923-3.99232
977.313.0551-5.75511
9811.412.8253-1.42526
9913.612.91070.689277
1007.912.7515-4.85155
10110.712.9024-2.20238
10210.312.6715-2.37146
1038.312.3191-4.01912
1049.612.8115-3.21153
10514.212.93131.26867
1068.513.064-4.56396
10713.513.29710.202885
1084.912.5302-7.63021
1096.413.123-6.72304
1109.613.3125-3.71252
11111.613.0322-1.4322
11211.113.1724-2.07244
1134.3513.8352-9.48517
11412.712.8692-0.169168
11518.112.69355.40647
11617.8512.86224.98784
11716.613.53283.06715
11812.613.2725-0.672529
11917.113.61293.48706
12019.113.31275.78732
12116.112.9753.12498
12213.3513.05160.298365
12318.413.88564.51436
12414.712.69162.00844
12510.613.1118-2.51179
12612.612.9022-0.302208
12716.212.72233.47768
12813.613.09180.508152
12918.913.09295.80715
13014.113.0641.03604
13114.513.06691.43307
13216.1512.94423.20584
13314.7512.59042.15964
13414.812.9721.82795
13512.4512.9102-0.460219
13612.6513.5938-0.943839
13717.3513.11154.23855
1388.612.7309-4.13094
13918.412.77295.62711
14016.113.95752.14245
14111.612.6544-1.05444
14217.7512.65035.09965
14315.2512.79512.45493
14417.6512.33145.31862
14516.3512.93153.4185
14617.6513.76523.88483
14713.614.2558-0.655842
14814.3513.35240.997607
14914.7513.37231.37767
15018.2513.3374.91301
1519.912.3118-2.41178
1521613.40352.59647
15318.2513.40354.84647
15416.8512.95013.8999
15514.613.51361.08642
15613.8513.66470.185256
15718.9513.68525.26481
15815.612.72182.87825
15914.8513.74481.10517
16011.7512.7502-1.00021
16118.4512.99275.45728
16215.912.93172.96833
16317.113.29173.80826
16416.113.59352.5065
16519.913.90765.99235
16610.9512.5412-1.59119
16718.4512.51185.93816
16815.112.94232.15775
1691513.57371.42627
17011.3512.8471-1.4971
17115.9513.01312.9369
17218.113.03625.06377
17314.612.83291.76713
17415.413.4361.96404
17515.413.31572.08435
17617.612.47185.12821
17713.3513.4355-0.0854529
17819.112.68926.41078
17915.3513.07142.27859
1807.612.5439-4.94393
18113.413.2860.113974
18213.913.1820.717979
18319.112.85116.24893
18415.2512.75122.49879
18512.912.56810.331927
18616.113.1772.92302
18717.3513.0664.28397
18813.1512.92420.225781
18912.1513.0662-0.916197
19012.612.59210.0079025
19110.3513.1115-2.76145
19215.412.66382.73616
1939.613.6134-4.01344
19418.213.14495.05511
19513.613.37170.228339
19614.8513.77191.07806
19714.7512.55012.19985
19814.113.00521.09479
19914.913.01131.88875
20016.2513.39332.85672
20119.2515.01514.23492
20213.614.1751-0.57508
20313.612.99180.608181
20415.6512.593.05997
20512.7512.16010.589885
20614.612.63011.96993
2079.8512.751-2.90105
20812.6513.5584-0.90839
20919.212.42976.77032
21016.612.41154.18853
21111.212.9731-1.77311
21215.2512.7622.48803
21311.912.6711-0.771123
21413.212.330.870016
21516.3512.53053.81945
21612.413.5374-1.13739
21715.8512.96292.88708
21818.1512.89165.25838
21911.1512.6025-1.45252
22015.6513.03152.61847
22117.7512.39035.3597
2227.6512.2766-4.62661
22312.3513.4034-1.05336
22415.612.4333.16702
22519.312.67226.62781
22615.212.69062.50938
22717.113.31273.78732
22815.612.86252.7375
22918.412.71135.68866
23019.0512.88196.16807
23118.5513.20355.34653
23219.113.17355.92649
23313.112.4510.649042
23412.8512.53020.31979
2359.512.9715-3.47155
2364.513.3543-8.8543
23711.8512.5337-0.683682
23813.612.55571.04431
23911.714.6144-2.9144
24012.413.0431-0.643121
24113.3513.19310.156948
24211.411.8685-0.468542
24314.913.21231.68768
24419.913.02076.87933
24511.213.2241-2.02414
24614.612.37022.2298
24717.613.35194.24811
24814.0512.83831.21169
24916.113.06313.03694
25013.3513.06310.28694
25111.8512.6216-0.771557
25211.9512.7616-0.811631
25314.7512.80321.94676
25415.1512.30982.84017
25513.212.4790.721034
25616.8513.13223.71777
2577.8512.5907-4.7407
2587.712.2828-4.58283
25912.612.50420.0957772
2607.8513.4228-5.5728
26110.9513.7211-2.77115
26212.3512.5505-0.200484
2639.9513.2611-3.3111
26414.913.13711.7629
26516.6513.04253.60755
26613.413.4341-0.0340522
26713.9513.57210.377945
26815.712.63193.06808
26916.8513.21283.63718
27010.9512.9227-1.97265
27115.3512.6512.69898
27212.212.3496-0.149587
27315.112.78192.31809
27417.7512.93174.81833
27515.213.21251.98751
27614.613.4631.13699
27716.6512.67413.97591
2788.112.5887-4.48868

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 12.9 & 13.4311 & -0.531142 \tabularnewline
2 & 12.2 & 13.3326 & -1.13262 \tabularnewline
3 & 12.8 & 13.3824 & -0.582415 \tabularnewline
4 & 7.4 & 12.9923 & -5.59232 \tabularnewline
5 & 6.7 & 13.5323 & -6.83235 \tabularnewline
6 & 12.6 & 12.9052 & -0.305178 \tabularnewline
7 & 14.8 & 12.4533 & 2.34674 \tabularnewline
8 & 13.3 & 13.4476 & -0.147607 \tabularnewline
9 & 11.1 & 12.5522 & -1.45216 \tabularnewline
10 & 8.2 & 14.7367 & -6.53672 \tabularnewline
11 & 11.4 & 12.8726 & -1.47258 \tabularnewline
12 & 6.4 & 13.4136 & -7.01355 \tabularnewline
13 & 10.6 & 12.1525 & -1.5525 \tabularnewline
14 & 12 & 12.6911 & -0.691061 \tabularnewline
15 & 6.3 & 12.7718 & -6.47182 \tabularnewline
16 & 11.3 & 12.6266 & -1.3266 \tabularnewline
17 & 11.9 & 12.8105 & -0.910526 \tabularnewline
18 & 9.3 & 12.8313 & -3.5313 \tabularnewline
19 & 9.6 & 13.3141 & -3.71408 \tabularnewline
20 & 10 & 12.473 & -2.47297 \tabularnewline
21 & 6.4 & 12.9521 & -6.55211 \tabularnewline
22 & 13.8 & 12.915 & 0.884966 \tabularnewline
23 & 10.8 & 12.7821 & -1.98207 \tabularnewline
24 & 13.8 & 12.7311 & 1.06889 \tabularnewline
25 & 11.7 & 12.9459 & -1.24589 \tabularnewline
26 & 10.9 & 12.771 & -1.87098 \tabularnewline
27 & 16.1 & 12.8838 & 3.21616 \tabularnewline
28 & 13.4 & 13.0964 & 0.303614 \tabularnewline
29 & 9.9 & 13.1726 & -3.27261 \tabularnewline
30 & 11.5 & 12.4101 & -0.910074 \tabularnewline
31 & 8.3 & 12.2006 & -3.90055 \tabularnewline
32 & 11.7 & 13.1583 & -1.45827 \tabularnewline
33 & 9 & 12.6633 & -3.66334 \tabularnewline
34 & 9.7 & 12.6008 & -2.90078 \tabularnewline
35 & 10.8 & 12.5535 & -1.75345 \tabularnewline
36 & 10.3 & 13.2229 & -2.92291 \tabularnewline
37 & 10.4 & 12.7911 & -2.39109 \tabularnewline
38 & 12.7 & 13.0458 & -0.345755 \tabularnewline
39 & 9.3 & 13.5658 & -4.26578 \tabularnewline
40 & 11.8 & 12.2894 & -0.489436 \tabularnewline
41 & 5.9 & 13.5722 & -7.67222 \tabularnewline
42 & 11.4 & 13.3321 & -1.93212 \tabularnewline
43 & 13 & 12.831 & 0.169032 \tabularnewline
44 & 10.8 & 12.0482 & -1.24816 \tabularnewline
45 & 12.3 & 12.5214 & -0.221419 \tabularnewline
46 & 11.3 & 13.253 & -1.95304 \tabularnewline
47 & 11.8 & 13.2644 & -1.46435 \tabularnewline
48 & 7.9 & 12.992 & -5.09199 \tabularnewline
49 & 12.7 & 12.6916 & 0.00843549 \tabularnewline
50 & 12.3 & 13.0714 & -0.771406 \tabularnewline
51 & 11.6 & 12.5305 & -0.930545 \tabularnewline
52 & 6.7 & 13.0146 & -6.31456 \tabularnewline
53 & 10.9 & 13.1714 & -2.27144 \tabularnewline
54 & 12.1 & 12.872 & -0.772019 \tabularnewline
55 & 13.3 & 13.373 & -0.0730031 \tabularnewline
56 & 10.1 & 12.8514 & -2.75141 \tabularnewline
57 & 5.7 & 12.1411 & -6.44107 \tabularnewline
58 & 14.3 & 12.7974 & 1.50264 \tabularnewline
59 & 8 & 13.0312 & -5.03119 \tabularnewline
60 & 13.3 & 13.0915 & 0.208487 \tabularnewline
61 & 9.3 & 13.2927 & -3.99275 \tabularnewline
62 & 12.5 & 12.802 & -0.302012 \tabularnewline
63 & 7.6 & 11.9067 & -4.30674 \tabularnewline
64 & 15.9 & 13.082 & 2.81801 \tabularnewline
65 & 9.2 & 13.1968 & -3.99675 \tabularnewline
66 & 9.1 & 12.9248 & -3.82478 \tabularnewline
67 & 11.1 & 12.7347 & -1.63475 \tabularnewline
68 & 13 & 13.4129 & -0.412881 \tabularnewline
69 & 14.5 & 12.8416 & 1.65845 \tabularnewline
70 & 12.2 & 12.8102 & -0.61019 \tabularnewline
71 & 12.3 & 13.246 & -0.945981 \tabularnewline
72 & 11.4 & 13.0917 & -1.69168 \tabularnewline
73 & 8.8 & 13.2571 & -4.45707 \tabularnewline
74 & 14.6 & 13.8745 & 0.72551 \tabularnewline
75 & 12.6 & 11.9681 & 0.631932 \tabularnewline
76 & 13 & 12.6424 & 0.357607 \tabularnewline
77 & 12.6 & 13.1018 & -0.501763 \tabularnewline
78 & 13.2 & 13.273 & -0.0729741 \tabularnewline
79 & 9.9 & 12.5093 & -2.60926 \tabularnewline
80 & 7.7 & 12.7108 & -5.01083 \tabularnewline
81 & 10.5 & 12.9312 & -2.43116 \tabularnewline
82 & 13.4 & 12.6307 & 0.769258 \tabularnewline
83 & 10.9 & 12.5703 & -1.67025 \tabularnewline
84 & 4.3 & 12.7729 & -8.47289 \tabularnewline
85 & 10.3 & 12.9955 & -2.69552 \tabularnewline
86 & 11.8 & 13.1446 & -1.34455 \tabularnewline
87 & 11.2 & 13.1523 & -1.95234 \tabularnewline
88 & 11.4 & 12.4908 & -1.09084 \tabularnewline
89 & 8.6 & 12.8637 & -4.26373 \tabularnewline
90 & 13.2 & 12.6106 & 0.589365 \tabularnewline
91 & 12.6 & 13.1149 & -0.514924 \tabularnewline
92 & 5.6 & 12.4847 & -6.88468 \tabularnewline
93 & 9.9 & 13.1544 & -3.25441 \tabularnewline
94 & 8.8 & 12.3566 & -3.55659 \tabularnewline
95 & 7.7 & 13.2427 & -5.54268 \tabularnewline
96 & 9 & 12.9923 & -3.99232 \tabularnewline
97 & 7.3 & 13.0551 & -5.75511 \tabularnewline
98 & 11.4 & 12.8253 & -1.42526 \tabularnewline
99 & 13.6 & 12.9107 & 0.689277 \tabularnewline
100 & 7.9 & 12.7515 & -4.85155 \tabularnewline
101 & 10.7 & 12.9024 & -2.20238 \tabularnewline
102 & 10.3 & 12.6715 & -2.37146 \tabularnewline
103 & 8.3 & 12.3191 & -4.01912 \tabularnewline
104 & 9.6 & 12.8115 & -3.21153 \tabularnewline
105 & 14.2 & 12.9313 & 1.26867 \tabularnewline
106 & 8.5 & 13.064 & -4.56396 \tabularnewline
107 & 13.5 & 13.2971 & 0.202885 \tabularnewline
108 & 4.9 & 12.5302 & -7.63021 \tabularnewline
109 & 6.4 & 13.123 & -6.72304 \tabularnewline
110 & 9.6 & 13.3125 & -3.71252 \tabularnewline
111 & 11.6 & 13.0322 & -1.4322 \tabularnewline
112 & 11.1 & 13.1724 & -2.07244 \tabularnewline
113 & 4.35 & 13.8352 & -9.48517 \tabularnewline
114 & 12.7 & 12.8692 & -0.169168 \tabularnewline
115 & 18.1 & 12.6935 & 5.40647 \tabularnewline
116 & 17.85 & 12.8622 & 4.98784 \tabularnewline
117 & 16.6 & 13.5328 & 3.06715 \tabularnewline
118 & 12.6 & 13.2725 & -0.672529 \tabularnewline
119 & 17.1 & 13.6129 & 3.48706 \tabularnewline
120 & 19.1 & 13.3127 & 5.78732 \tabularnewline
121 & 16.1 & 12.975 & 3.12498 \tabularnewline
122 & 13.35 & 13.0516 & 0.298365 \tabularnewline
123 & 18.4 & 13.8856 & 4.51436 \tabularnewline
124 & 14.7 & 12.6916 & 2.00844 \tabularnewline
125 & 10.6 & 13.1118 & -2.51179 \tabularnewline
126 & 12.6 & 12.9022 & -0.302208 \tabularnewline
127 & 16.2 & 12.7223 & 3.47768 \tabularnewline
128 & 13.6 & 13.0918 & 0.508152 \tabularnewline
129 & 18.9 & 13.0929 & 5.80715 \tabularnewline
130 & 14.1 & 13.064 & 1.03604 \tabularnewline
131 & 14.5 & 13.0669 & 1.43307 \tabularnewline
132 & 16.15 & 12.9442 & 3.20584 \tabularnewline
133 & 14.75 & 12.5904 & 2.15964 \tabularnewline
134 & 14.8 & 12.972 & 1.82795 \tabularnewline
135 & 12.45 & 12.9102 & -0.460219 \tabularnewline
136 & 12.65 & 13.5938 & -0.943839 \tabularnewline
137 & 17.35 & 13.1115 & 4.23855 \tabularnewline
138 & 8.6 & 12.7309 & -4.13094 \tabularnewline
139 & 18.4 & 12.7729 & 5.62711 \tabularnewline
140 & 16.1 & 13.9575 & 2.14245 \tabularnewline
141 & 11.6 & 12.6544 & -1.05444 \tabularnewline
142 & 17.75 & 12.6503 & 5.09965 \tabularnewline
143 & 15.25 & 12.7951 & 2.45493 \tabularnewline
144 & 17.65 & 12.3314 & 5.31862 \tabularnewline
145 & 16.35 & 12.9315 & 3.4185 \tabularnewline
146 & 17.65 & 13.7652 & 3.88483 \tabularnewline
147 & 13.6 & 14.2558 & -0.655842 \tabularnewline
148 & 14.35 & 13.3524 & 0.997607 \tabularnewline
149 & 14.75 & 13.3723 & 1.37767 \tabularnewline
150 & 18.25 & 13.337 & 4.91301 \tabularnewline
151 & 9.9 & 12.3118 & -2.41178 \tabularnewline
152 & 16 & 13.4035 & 2.59647 \tabularnewline
153 & 18.25 & 13.4035 & 4.84647 \tabularnewline
154 & 16.85 & 12.9501 & 3.8999 \tabularnewline
155 & 14.6 & 13.5136 & 1.08642 \tabularnewline
156 & 13.85 & 13.6647 & 0.185256 \tabularnewline
157 & 18.95 & 13.6852 & 5.26481 \tabularnewline
158 & 15.6 & 12.7218 & 2.87825 \tabularnewline
159 & 14.85 & 13.7448 & 1.10517 \tabularnewline
160 & 11.75 & 12.7502 & -1.00021 \tabularnewline
161 & 18.45 & 12.9927 & 5.45728 \tabularnewline
162 & 15.9 & 12.9317 & 2.96833 \tabularnewline
163 & 17.1 & 13.2917 & 3.80826 \tabularnewline
164 & 16.1 & 13.5935 & 2.5065 \tabularnewline
165 & 19.9 & 13.9076 & 5.99235 \tabularnewline
166 & 10.95 & 12.5412 & -1.59119 \tabularnewline
167 & 18.45 & 12.5118 & 5.93816 \tabularnewline
168 & 15.1 & 12.9423 & 2.15775 \tabularnewline
169 & 15 & 13.5737 & 1.42627 \tabularnewline
170 & 11.35 & 12.8471 & -1.4971 \tabularnewline
171 & 15.95 & 13.0131 & 2.9369 \tabularnewline
172 & 18.1 & 13.0362 & 5.06377 \tabularnewline
173 & 14.6 & 12.8329 & 1.76713 \tabularnewline
174 & 15.4 & 13.436 & 1.96404 \tabularnewline
175 & 15.4 & 13.3157 & 2.08435 \tabularnewline
176 & 17.6 & 12.4718 & 5.12821 \tabularnewline
177 & 13.35 & 13.4355 & -0.0854529 \tabularnewline
178 & 19.1 & 12.6892 & 6.41078 \tabularnewline
179 & 15.35 & 13.0714 & 2.27859 \tabularnewline
180 & 7.6 & 12.5439 & -4.94393 \tabularnewline
181 & 13.4 & 13.286 & 0.113974 \tabularnewline
182 & 13.9 & 13.182 & 0.717979 \tabularnewline
183 & 19.1 & 12.8511 & 6.24893 \tabularnewline
184 & 15.25 & 12.7512 & 2.49879 \tabularnewline
185 & 12.9 & 12.5681 & 0.331927 \tabularnewline
186 & 16.1 & 13.177 & 2.92302 \tabularnewline
187 & 17.35 & 13.066 & 4.28397 \tabularnewline
188 & 13.15 & 12.9242 & 0.225781 \tabularnewline
189 & 12.15 & 13.0662 & -0.916197 \tabularnewline
190 & 12.6 & 12.5921 & 0.0079025 \tabularnewline
191 & 10.35 & 13.1115 & -2.76145 \tabularnewline
192 & 15.4 & 12.6638 & 2.73616 \tabularnewline
193 & 9.6 & 13.6134 & -4.01344 \tabularnewline
194 & 18.2 & 13.1449 & 5.05511 \tabularnewline
195 & 13.6 & 13.3717 & 0.228339 \tabularnewline
196 & 14.85 & 13.7719 & 1.07806 \tabularnewline
197 & 14.75 & 12.5501 & 2.19985 \tabularnewline
198 & 14.1 & 13.0052 & 1.09479 \tabularnewline
199 & 14.9 & 13.0113 & 1.88875 \tabularnewline
200 & 16.25 & 13.3933 & 2.85672 \tabularnewline
201 & 19.25 & 15.0151 & 4.23492 \tabularnewline
202 & 13.6 & 14.1751 & -0.57508 \tabularnewline
203 & 13.6 & 12.9918 & 0.608181 \tabularnewline
204 & 15.65 & 12.59 & 3.05997 \tabularnewline
205 & 12.75 & 12.1601 & 0.589885 \tabularnewline
206 & 14.6 & 12.6301 & 1.96993 \tabularnewline
207 & 9.85 & 12.751 & -2.90105 \tabularnewline
208 & 12.65 & 13.5584 & -0.90839 \tabularnewline
209 & 19.2 & 12.4297 & 6.77032 \tabularnewline
210 & 16.6 & 12.4115 & 4.18853 \tabularnewline
211 & 11.2 & 12.9731 & -1.77311 \tabularnewline
212 & 15.25 & 12.762 & 2.48803 \tabularnewline
213 & 11.9 & 12.6711 & -0.771123 \tabularnewline
214 & 13.2 & 12.33 & 0.870016 \tabularnewline
215 & 16.35 & 12.5305 & 3.81945 \tabularnewline
216 & 12.4 & 13.5374 & -1.13739 \tabularnewline
217 & 15.85 & 12.9629 & 2.88708 \tabularnewline
218 & 18.15 & 12.8916 & 5.25838 \tabularnewline
219 & 11.15 & 12.6025 & -1.45252 \tabularnewline
220 & 15.65 & 13.0315 & 2.61847 \tabularnewline
221 & 17.75 & 12.3903 & 5.3597 \tabularnewline
222 & 7.65 & 12.2766 & -4.62661 \tabularnewline
223 & 12.35 & 13.4034 & -1.05336 \tabularnewline
224 & 15.6 & 12.433 & 3.16702 \tabularnewline
225 & 19.3 & 12.6722 & 6.62781 \tabularnewline
226 & 15.2 & 12.6906 & 2.50938 \tabularnewline
227 & 17.1 & 13.3127 & 3.78732 \tabularnewline
228 & 15.6 & 12.8625 & 2.7375 \tabularnewline
229 & 18.4 & 12.7113 & 5.68866 \tabularnewline
230 & 19.05 & 12.8819 & 6.16807 \tabularnewline
231 & 18.55 & 13.2035 & 5.34653 \tabularnewline
232 & 19.1 & 13.1735 & 5.92649 \tabularnewline
233 & 13.1 & 12.451 & 0.649042 \tabularnewline
234 & 12.85 & 12.5302 & 0.31979 \tabularnewline
235 & 9.5 & 12.9715 & -3.47155 \tabularnewline
236 & 4.5 & 13.3543 & -8.8543 \tabularnewline
237 & 11.85 & 12.5337 & -0.683682 \tabularnewline
238 & 13.6 & 12.5557 & 1.04431 \tabularnewline
239 & 11.7 & 14.6144 & -2.9144 \tabularnewline
240 & 12.4 & 13.0431 & -0.643121 \tabularnewline
241 & 13.35 & 13.1931 & 0.156948 \tabularnewline
242 & 11.4 & 11.8685 & -0.468542 \tabularnewline
243 & 14.9 & 13.2123 & 1.68768 \tabularnewline
244 & 19.9 & 13.0207 & 6.87933 \tabularnewline
245 & 11.2 & 13.2241 & -2.02414 \tabularnewline
246 & 14.6 & 12.3702 & 2.2298 \tabularnewline
247 & 17.6 & 13.3519 & 4.24811 \tabularnewline
248 & 14.05 & 12.8383 & 1.21169 \tabularnewline
249 & 16.1 & 13.0631 & 3.03694 \tabularnewline
250 & 13.35 & 13.0631 & 0.28694 \tabularnewline
251 & 11.85 & 12.6216 & -0.771557 \tabularnewline
252 & 11.95 & 12.7616 & -0.811631 \tabularnewline
253 & 14.75 & 12.8032 & 1.94676 \tabularnewline
254 & 15.15 & 12.3098 & 2.84017 \tabularnewline
255 & 13.2 & 12.479 & 0.721034 \tabularnewline
256 & 16.85 & 13.1322 & 3.71777 \tabularnewline
257 & 7.85 & 12.5907 & -4.7407 \tabularnewline
258 & 7.7 & 12.2828 & -4.58283 \tabularnewline
259 & 12.6 & 12.5042 & 0.0957772 \tabularnewline
260 & 7.85 & 13.4228 & -5.5728 \tabularnewline
261 & 10.95 & 13.7211 & -2.77115 \tabularnewline
262 & 12.35 & 12.5505 & -0.200484 \tabularnewline
263 & 9.95 & 13.2611 & -3.3111 \tabularnewline
264 & 14.9 & 13.1371 & 1.7629 \tabularnewline
265 & 16.65 & 13.0425 & 3.60755 \tabularnewline
266 & 13.4 & 13.4341 & -0.0340522 \tabularnewline
267 & 13.95 & 13.5721 & 0.377945 \tabularnewline
268 & 15.7 & 12.6319 & 3.06808 \tabularnewline
269 & 16.85 & 13.2128 & 3.63718 \tabularnewline
270 & 10.95 & 12.9227 & -1.97265 \tabularnewline
271 & 15.35 & 12.651 & 2.69898 \tabularnewline
272 & 12.2 & 12.3496 & -0.149587 \tabularnewline
273 & 15.1 & 12.7819 & 2.31809 \tabularnewline
274 & 17.75 & 12.9317 & 4.81833 \tabularnewline
275 & 15.2 & 13.2125 & 1.98751 \tabularnewline
276 & 14.6 & 13.463 & 1.13699 \tabularnewline
277 & 16.65 & 12.6741 & 3.97591 \tabularnewline
278 & 8.1 & 12.5887 & -4.48868 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268260&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]12.9[/C][C]13.4311[/C][C]-0.531142[/C][/ROW]
[ROW][C]2[/C][C]12.2[/C][C]13.3326[/C][C]-1.13262[/C][/ROW]
[ROW][C]3[/C][C]12.8[/C][C]13.3824[/C][C]-0.582415[/C][/ROW]
[ROW][C]4[/C][C]7.4[/C][C]12.9923[/C][C]-5.59232[/C][/ROW]
[ROW][C]5[/C][C]6.7[/C][C]13.5323[/C][C]-6.83235[/C][/ROW]
[ROW][C]6[/C][C]12.6[/C][C]12.9052[/C][C]-0.305178[/C][/ROW]
[ROW][C]7[/C][C]14.8[/C][C]12.4533[/C][C]2.34674[/C][/ROW]
[ROW][C]8[/C][C]13.3[/C][C]13.4476[/C][C]-0.147607[/C][/ROW]
[ROW][C]9[/C][C]11.1[/C][C]12.5522[/C][C]-1.45216[/C][/ROW]
[ROW][C]10[/C][C]8.2[/C][C]14.7367[/C][C]-6.53672[/C][/ROW]
[ROW][C]11[/C][C]11.4[/C][C]12.8726[/C][C]-1.47258[/C][/ROW]
[ROW][C]12[/C][C]6.4[/C][C]13.4136[/C][C]-7.01355[/C][/ROW]
[ROW][C]13[/C][C]10.6[/C][C]12.1525[/C][C]-1.5525[/C][/ROW]
[ROW][C]14[/C][C]12[/C][C]12.6911[/C][C]-0.691061[/C][/ROW]
[ROW][C]15[/C][C]6.3[/C][C]12.7718[/C][C]-6.47182[/C][/ROW]
[ROW][C]16[/C][C]11.3[/C][C]12.6266[/C][C]-1.3266[/C][/ROW]
[ROW][C]17[/C][C]11.9[/C][C]12.8105[/C][C]-0.910526[/C][/ROW]
[ROW][C]18[/C][C]9.3[/C][C]12.8313[/C][C]-3.5313[/C][/ROW]
[ROW][C]19[/C][C]9.6[/C][C]13.3141[/C][C]-3.71408[/C][/ROW]
[ROW][C]20[/C][C]10[/C][C]12.473[/C][C]-2.47297[/C][/ROW]
[ROW][C]21[/C][C]6.4[/C][C]12.9521[/C][C]-6.55211[/C][/ROW]
[ROW][C]22[/C][C]13.8[/C][C]12.915[/C][C]0.884966[/C][/ROW]
[ROW][C]23[/C][C]10.8[/C][C]12.7821[/C][C]-1.98207[/C][/ROW]
[ROW][C]24[/C][C]13.8[/C][C]12.7311[/C][C]1.06889[/C][/ROW]
[ROW][C]25[/C][C]11.7[/C][C]12.9459[/C][C]-1.24589[/C][/ROW]
[ROW][C]26[/C][C]10.9[/C][C]12.771[/C][C]-1.87098[/C][/ROW]
[ROW][C]27[/C][C]16.1[/C][C]12.8838[/C][C]3.21616[/C][/ROW]
[ROW][C]28[/C][C]13.4[/C][C]13.0964[/C][C]0.303614[/C][/ROW]
[ROW][C]29[/C][C]9.9[/C][C]13.1726[/C][C]-3.27261[/C][/ROW]
[ROW][C]30[/C][C]11.5[/C][C]12.4101[/C][C]-0.910074[/C][/ROW]
[ROW][C]31[/C][C]8.3[/C][C]12.2006[/C][C]-3.90055[/C][/ROW]
[ROW][C]32[/C][C]11.7[/C][C]13.1583[/C][C]-1.45827[/C][/ROW]
[ROW][C]33[/C][C]9[/C][C]12.6633[/C][C]-3.66334[/C][/ROW]
[ROW][C]34[/C][C]9.7[/C][C]12.6008[/C][C]-2.90078[/C][/ROW]
[ROW][C]35[/C][C]10.8[/C][C]12.5535[/C][C]-1.75345[/C][/ROW]
[ROW][C]36[/C][C]10.3[/C][C]13.2229[/C][C]-2.92291[/C][/ROW]
[ROW][C]37[/C][C]10.4[/C][C]12.7911[/C][C]-2.39109[/C][/ROW]
[ROW][C]38[/C][C]12.7[/C][C]13.0458[/C][C]-0.345755[/C][/ROW]
[ROW][C]39[/C][C]9.3[/C][C]13.5658[/C][C]-4.26578[/C][/ROW]
[ROW][C]40[/C][C]11.8[/C][C]12.2894[/C][C]-0.489436[/C][/ROW]
[ROW][C]41[/C][C]5.9[/C][C]13.5722[/C][C]-7.67222[/C][/ROW]
[ROW][C]42[/C][C]11.4[/C][C]13.3321[/C][C]-1.93212[/C][/ROW]
[ROW][C]43[/C][C]13[/C][C]12.831[/C][C]0.169032[/C][/ROW]
[ROW][C]44[/C][C]10.8[/C][C]12.0482[/C][C]-1.24816[/C][/ROW]
[ROW][C]45[/C][C]12.3[/C][C]12.5214[/C][C]-0.221419[/C][/ROW]
[ROW][C]46[/C][C]11.3[/C][C]13.253[/C][C]-1.95304[/C][/ROW]
[ROW][C]47[/C][C]11.8[/C][C]13.2644[/C][C]-1.46435[/C][/ROW]
[ROW][C]48[/C][C]7.9[/C][C]12.992[/C][C]-5.09199[/C][/ROW]
[ROW][C]49[/C][C]12.7[/C][C]12.6916[/C][C]0.00843549[/C][/ROW]
[ROW][C]50[/C][C]12.3[/C][C]13.0714[/C][C]-0.771406[/C][/ROW]
[ROW][C]51[/C][C]11.6[/C][C]12.5305[/C][C]-0.930545[/C][/ROW]
[ROW][C]52[/C][C]6.7[/C][C]13.0146[/C][C]-6.31456[/C][/ROW]
[ROW][C]53[/C][C]10.9[/C][C]13.1714[/C][C]-2.27144[/C][/ROW]
[ROW][C]54[/C][C]12.1[/C][C]12.872[/C][C]-0.772019[/C][/ROW]
[ROW][C]55[/C][C]13.3[/C][C]13.373[/C][C]-0.0730031[/C][/ROW]
[ROW][C]56[/C][C]10.1[/C][C]12.8514[/C][C]-2.75141[/C][/ROW]
[ROW][C]57[/C][C]5.7[/C][C]12.1411[/C][C]-6.44107[/C][/ROW]
[ROW][C]58[/C][C]14.3[/C][C]12.7974[/C][C]1.50264[/C][/ROW]
[ROW][C]59[/C][C]8[/C][C]13.0312[/C][C]-5.03119[/C][/ROW]
[ROW][C]60[/C][C]13.3[/C][C]13.0915[/C][C]0.208487[/C][/ROW]
[ROW][C]61[/C][C]9.3[/C][C]13.2927[/C][C]-3.99275[/C][/ROW]
[ROW][C]62[/C][C]12.5[/C][C]12.802[/C][C]-0.302012[/C][/ROW]
[ROW][C]63[/C][C]7.6[/C][C]11.9067[/C][C]-4.30674[/C][/ROW]
[ROW][C]64[/C][C]15.9[/C][C]13.082[/C][C]2.81801[/C][/ROW]
[ROW][C]65[/C][C]9.2[/C][C]13.1968[/C][C]-3.99675[/C][/ROW]
[ROW][C]66[/C][C]9.1[/C][C]12.9248[/C][C]-3.82478[/C][/ROW]
[ROW][C]67[/C][C]11.1[/C][C]12.7347[/C][C]-1.63475[/C][/ROW]
[ROW][C]68[/C][C]13[/C][C]13.4129[/C][C]-0.412881[/C][/ROW]
[ROW][C]69[/C][C]14.5[/C][C]12.8416[/C][C]1.65845[/C][/ROW]
[ROW][C]70[/C][C]12.2[/C][C]12.8102[/C][C]-0.61019[/C][/ROW]
[ROW][C]71[/C][C]12.3[/C][C]13.246[/C][C]-0.945981[/C][/ROW]
[ROW][C]72[/C][C]11.4[/C][C]13.0917[/C][C]-1.69168[/C][/ROW]
[ROW][C]73[/C][C]8.8[/C][C]13.2571[/C][C]-4.45707[/C][/ROW]
[ROW][C]74[/C][C]14.6[/C][C]13.8745[/C][C]0.72551[/C][/ROW]
[ROW][C]75[/C][C]12.6[/C][C]11.9681[/C][C]0.631932[/C][/ROW]
[ROW][C]76[/C][C]13[/C][C]12.6424[/C][C]0.357607[/C][/ROW]
[ROW][C]77[/C][C]12.6[/C][C]13.1018[/C][C]-0.501763[/C][/ROW]
[ROW][C]78[/C][C]13.2[/C][C]13.273[/C][C]-0.0729741[/C][/ROW]
[ROW][C]79[/C][C]9.9[/C][C]12.5093[/C][C]-2.60926[/C][/ROW]
[ROW][C]80[/C][C]7.7[/C][C]12.7108[/C][C]-5.01083[/C][/ROW]
[ROW][C]81[/C][C]10.5[/C][C]12.9312[/C][C]-2.43116[/C][/ROW]
[ROW][C]82[/C][C]13.4[/C][C]12.6307[/C][C]0.769258[/C][/ROW]
[ROW][C]83[/C][C]10.9[/C][C]12.5703[/C][C]-1.67025[/C][/ROW]
[ROW][C]84[/C][C]4.3[/C][C]12.7729[/C][C]-8.47289[/C][/ROW]
[ROW][C]85[/C][C]10.3[/C][C]12.9955[/C][C]-2.69552[/C][/ROW]
[ROW][C]86[/C][C]11.8[/C][C]13.1446[/C][C]-1.34455[/C][/ROW]
[ROW][C]87[/C][C]11.2[/C][C]13.1523[/C][C]-1.95234[/C][/ROW]
[ROW][C]88[/C][C]11.4[/C][C]12.4908[/C][C]-1.09084[/C][/ROW]
[ROW][C]89[/C][C]8.6[/C][C]12.8637[/C][C]-4.26373[/C][/ROW]
[ROW][C]90[/C][C]13.2[/C][C]12.6106[/C][C]0.589365[/C][/ROW]
[ROW][C]91[/C][C]12.6[/C][C]13.1149[/C][C]-0.514924[/C][/ROW]
[ROW][C]92[/C][C]5.6[/C][C]12.4847[/C][C]-6.88468[/C][/ROW]
[ROW][C]93[/C][C]9.9[/C][C]13.1544[/C][C]-3.25441[/C][/ROW]
[ROW][C]94[/C][C]8.8[/C][C]12.3566[/C][C]-3.55659[/C][/ROW]
[ROW][C]95[/C][C]7.7[/C][C]13.2427[/C][C]-5.54268[/C][/ROW]
[ROW][C]96[/C][C]9[/C][C]12.9923[/C][C]-3.99232[/C][/ROW]
[ROW][C]97[/C][C]7.3[/C][C]13.0551[/C][C]-5.75511[/C][/ROW]
[ROW][C]98[/C][C]11.4[/C][C]12.8253[/C][C]-1.42526[/C][/ROW]
[ROW][C]99[/C][C]13.6[/C][C]12.9107[/C][C]0.689277[/C][/ROW]
[ROW][C]100[/C][C]7.9[/C][C]12.7515[/C][C]-4.85155[/C][/ROW]
[ROW][C]101[/C][C]10.7[/C][C]12.9024[/C][C]-2.20238[/C][/ROW]
[ROW][C]102[/C][C]10.3[/C][C]12.6715[/C][C]-2.37146[/C][/ROW]
[ROW][C]103[/C][C]8.3[/C][C]12.3191[/C][C]-4.01912[/C][/ROW]
[ROW][C]104[/C][C]9.6[/C][C]12.8115[/C][C]-3.21153[/C][/ROW]
[ROW][C]105[/C][C]14.2[/C][C]12.9313[/C][C]1.26867[/C][/ROW]
[ROW][C]106[/C][C]8.5[/C][C]13.064[/C][C]-4.56396[/C][/ROW]
[ROW][C]107[/C][C]13.5[/C][C]13.2971[/C][C]0.202885[/C][/ROW]
[ROW][C]108[/C][C]4.9[/C][C]12.5302[/C][C]-7.63021[/C][/ROW]
[ROW][C]109[/C][C]6.4[/C][C]13.123[/C][C]-6.72304[/C][/ROW]
[ROW][C]110[/C][C]9.6[/C][C]13.3125[/C][C]-3.71252[/C][/ROW]
[ROW][C]111[/C][C]11.6[/C][C]13.0322[/C][C]-1.4322[/C][/ROW]
[ROW][C]112[/C][C]11.1[/C][C]13.1724[/C][C]-2.07244[/C][/ROW]
[ROW][C]113[/C][C]4.35[/C][C]13.8352[/C][C]-9.48517[/C][/ROW]
[ROW][C]114[/C][C]12.7[/C][C]12.8692[/C][C]-0.169168[/C][/ROW]
[ROW][C]115[/C][C]18.1[/C][C]12.6935[/C][C]5.40647[/C][/ROW]
[ROW][C]116[/C][C]17.85[/C][C]12.8622[/C][C]4.98784[/C][/ROW]
[ROW][C]117[/C][C]16.6[/C][C]13.5328[/C][C]3.06715[/C][/ROW]
[ROW][C]118[/C][C]12.6[/C][C]13.2725[/C][C]-0.672529[/C][/ROW]
[ROW][C]119[/C][C]17.1[/C][C]13.6129[/C][C]3.48706[/C][/ROW]
[ROW][C]120[/C][C]19.1[/C][C]13.3127[/C][C]5.78732[/C][/ROW]
[ROW][C]121[/C][C]16.1[/C][C]12.975[/C][C]3.12498[/C][/ROW]
[ROW][C]122[/C][C]13.35[/C][C]13.0516[/C][C]0.298365[/C][/ROW]
[ROW][C]123[/C][C]18.4[/C][C]13.8856[/C][C]4.51436[/C][/ROW]
[ROW][C]124[/C][C]14.7[/C][C]12.6916[/C][C]2.00844[/C][/ROW]
[ROW][C]125[/C][C]10.6[/C][C]13.1118[/C][C]-2.51179[/C][/ROW]
[ROW][C]126[/C][C]12.6[/C][C]12.9022[/C][C]-0.302208[/C][/ROW]
[ROW][C]127[/C][C]16.2[/C][C]12.7223[/C][C]3.47768[/C][/ROW]
[ROW][C]128[/C][C]13.6[/C][C]13.0918[/C][C]0.508152[/C][/ROW]
[ROW][C]129[/C][C]18.9[/C][C]13.0929[/C][C]5.80715[/C][/ROW]
[ROW][C]130[/C][C]14.1[/C][C]13.064[/C][C]1.03604[/C][/ROW]
[ROW][C]131[/C][C]14.5[/C][C]13.0669[/C][C]1.43307[/C][/ROW]
[ROW][C]132[/C][C]16.15[/C][C]12.9442[/C][C]3.20584[/C][/ROW]
[ROW][C]133[/C][C]14.75[/C][C]12.5904[/C][C]2.15964[/C][/ROW]
[ROW][C]134[/C][C]14.8[/C][C]12.972[/C][C]1.82795[/C][/ROW]
[ROW][C]135[/C][C]12.45[/C][C]12.9102[/C][C]-0.460219[/C][/ROW]
[ROW][C]136[/C][C]12.65[/C][C]13.5938[/C][C]-0.943839[/C][/ROW]
[ROW][C]137[/C][C]17.35[/C][C]13.1115[/C][C]4.23855[/C][/ROW]
[ROW][C]138[/C][C]8.6[/C][C]12.7309[/C][C]-4.13094[/C][/ROW]
[ROW][C]139[/C][C]18.4[/C][C]12.7729[/C][C]5.62711[/C][/ROW]
[ROW][C]140[/C][C]16.1[/C][C]13.9575[/C][C]2.14245[/C][/ROW]
[ROW][C]141[/C][C]11.6[/C][C]12.6544[/C][C]-1.05444[/C][/ROW]
[ROW][C]142[/C][C]17.75[/C][C]12.6503[/C][C]5.09965[/C][/ROW]
[ROW][C]143[/C][C]15.25[/C][C]12.7951[/C][C]2.45493[/C][/ROW]
[ROW][C]144[/C][C]17.65[/C][C]12.3314[/C][C]5.31862[/C][/ROW]
[ROW][C]145[/C][C]16.35[/C][C]12.9315[/C][C]3.4185[/C][/ROW]
[ROW][C]146[/C][C]17.65[/C][C]13.7652[/C][C]3.88483[/C][/ROW]
[ROW][C]147[/C][C]13.6[/C][C]14.2558[/C][C]-0.655842[/C][/ROW]
[ROW][C]148[/C][C]14.35[/C][C]13.3524[/C][C]0.997607[/C][/ROW]
[ROW][C]149[/C][C]14.75[/C][C]13.3723[/C][C]1.37767[/C][/ROW]
[ROW][C]150[/C][C]18.25[/C][C]13.337[/C][C]4.91301[/C][/ROW]
[ROW][C]151[/C][C]9.9[/C][C]12.3118[/C][C]-2.41178[/C][/ROW]
[ROW][C]152[/C][C]16[/C][C]13.4035[/C][C]2.59647[/C][/ROW]
[ROW][C]153[/C][C]18.25[/C][C]13.4035[/C][C]4.84647[/C][/ROW]
[ROW][C]154[/C][C]16.85[/C][C]12.9501[/C][C]3.8999[/C][/ROW]
[ROW][C]155[/C][C]14.6[/C][C]13.5136[/C][C]1.08642[/C][/ROW]
[ROW][C]156[/C][C]13.85[/C][C]13.6647[/C][C]0.185256[/C][/ROW]
[ROW][C]157[/C][C]18.95[/C][C]13.6852[/C][C]5.26481[/C][/ROW]
[ROW][C]158[/C][C]15.6[/C][C]12.7218[/C][C]2.87825[/C][/ROW]
[ROW][C]159[/C][C]14.85[/C][C]13.7448[/C][C]1.10517[/C][/ROW]
[ROW][C]160[/C][C]11.75[/C][C]12.7502[/C][C]-1.00021[/C][/ROW]
[ROW][C]161[/C][C]18.45[/C][C]12.9927[/C][C]5.45728[/C][/ROW]
[ROW][C]162[/C][C]15.9[/C][C]12.9317[/C][C]2.96833[/C][/ROW]
[ROW][C]163[/C][C]17.1[/C][C]13.2917[/C][C]3.80826[/C][/ROW]
[ROW][C]164[/C][C]16.1[/C][C]13.5935[/C][C]2.5065[/C][/ROW]
[ROW][C]165[/C][C]19.9[/C][C]13.9076[/C][C]5.99235[/C][/ROW]
[ROW][C]166[/C][C]10.95[/C][C]12.5412[/C][C]-1.59119[/C][/ROW]
[ROW][C]167[/C][C]18.45[/C][C]12.5118[/C][C]5.93816[/C][/ROW]
[ROW][C]168[/C][C]15.1[/C][C]12.9423[/C][C]2.15775[/C][/ROW]
[ROW][C]169[/C][C]15[/C][C]13.5737[/C][C]1.42627[/C][/ROW]
[ROW][C]170[/C][C]11.35[/C][C]12.8471[/C][C]-1.4971[/C][/ROW]
[ROW][C]171[/C][C]15.95[/C][C]13.0131[/C][C]2.9369[/C][/ROW]
[ROW][C]172[/C][C]18.1[/C][C]13.0362[/C][C]5.06377[/C][/ROW]
[ROW][C]173[/C][C]14.6[/C][C]12.8329[/C][C]1.76713[/C][/ROW]
[ROW][C]174[/C][C]15.4[/C][C]13.436[/C][C]1.96404[/C][/ROW]
[ROW][C]175[/C][C]15.4[/C][C]13.3157[/C][C]2.08435[/C][/ROW]
[ROW][C]176[/C][C]17.6[/C][C]12.4718[/C][C]5.12821[/C][/ROW]
[ROW][C]177[/C][C]13.35[/C][C]13.4355[/C][C]-0.0854529[/C][/ROW]
[ROW][C]178[/C][C]19.1[/C][C]12.6892[/C][C]6.41078[/C][/ROW]
[ROW][C]179[/C][C]15.35[/C][C]13.0714[/C][C]2.27859[/C][/ROW]
[ROW][C]180[/C][C]7.6[/C][C]12.5439[/C][C]-4.94393[/C][/ROW]
[ROW][C]181[/C][C]13.4[/C][C]13.286[/C][C]0.113974[/C][/ROW]
[ROW][C]182[/C][C]13.9[/C][C]13.182[/C][C]0.717979[/C][/ROW]
[ROW][C]183[/C][C]19.1[/C][C]12.8511[/C][C]6.24893[/C][/ROW]
[ROW][C]184[/C][C]15.25[/C][C]12.7512[/C][C]2.49879[/C][/ROW]
[ROW][C]185[/C][C]12.9[/C][C]12.5681[/C][C]0.331927[/C][/ROW]
[ROW][C]186[/C][C]16.1[/C][C]13.177[/C][C]2.92302[/C][/ROW]
[ROW][C]187[/C][C]17.35[/C][C]13.066[/C][C]4.28397[/C][/ROW]
[ROW][C]188[/C][C]13.15[/C][C]12.9242[/C][C]0.225781[/C][/ROW]
[ROW][C]189[/C][C]12.15[/C][C]13.0662[/C][C]-0.916197[/C][/ROW]
[ROW][C]190[/C][C]12.6[/C][C]12.5921[/C][C]0.0079025[/C][/ROW]
[ROW][C]191[/C][C]10.35[/C][C]13.1115[/C][C]-2.76145[/C][/ROW]
[ROW][C]192[/C][C]15.4[/C][C]12.6638[/C][C]2.73616[/C][/ROW]
[ROW][C]193[/C][C]9.6[/C][C]13.6134[/C][C]-4.01344[/C][/ROW]
[ROW][C]194[/C][C]18.2[/C][C]13.1449[/C][C]5.05511[/C][/ROW]
[ROW][C]195[/C][C]13.6[/C][C]13.3717[/C][C]0.228339[/C][/ROW]
[ROW][C]196[/C][C]14.85[/C][C]13.7719[/C][C]1.07806[/C][/ROW]
[ROW][C]197[/C][C]14.75[/C][C]12.5501[/C][C]2.19985[/C][/ROW]
[ROW][C]198[/C][C]14.1[/C][C]13.0052[/C][C]1.09479[/C][/ROW]
[ROW][C]199[/C][C]14.9[/C][C]13.0113[/C][C]1.88875[/C][/ROW]
[ROW][C]200[/C][C]16.25[/C][C]13.3933[/C][C]2.85672[/C][/ROW]
[ROW][C]201[/C][C]19.25[/C][C]15.0151[/C][C]4.23492[/C][/ROW]
[ROW][C]202[/C][C]13.6[/C][C]14.1751[/C][C]-0.57508[/C][/ROW]
[ROW][C]203[/C][C]13.6[/C][C]12.9918[/C][C]0.608181[/C][/ROW]
[ROW][C]204[/C][C]15.65[/C][C]12.59[/C][C]3.05997[/C][/ROW]
[ROW][C]205[/C][C]12.75[/C][C]12.1601[/C][C]0.589885[/C][/ROW]
[ROW][C]206[/C][C]14.6[/C][C]12.6301[/C][C]1.96993[/C][/ROW]
[ROW][C]207[/C][C]9.85[/C][C]12.751[/C][C]-2.90105[/C][/ROW]
[ROW][C]208[/C][C]12.65[/C][C]13.5584[/C][C]-0.90839[/C][/ROW]
[ROW][C]209[/C][C]19.2[/C][C]12.4297[/C][C]6.77032[/C][/ROW]
[ROW][C]210[/C][C]16.6[/C][C]12.4115[/C][C]4.18853[/C][/ROW]
[ROW][C]211[/C][C]11.2[/C][C]12.9731[/C][C]-1.77311[/C][/ROW]
[ROW][C]212[/C][C]15.25[/C][C]12.762[/C][C]2.48803[/C][/ROW]
[ROW][C]213[/C][C]11.9[/C][C]12.6711[/C][C]-0.771123[/C][/ROW]
[ROW][C]214[/C][C]13.2[/C][C]12.33[/C][C]0.870016[/C][/ROW]
[ROW][C]215[/C][C]16.35[/C][C]12.5305[/C][C]3.81945[/C][/ROW]
[ROW][C]216[/C][C]12.4[/C][C]13.5374[/C][C]-1.13739[/C][/ROW]
[ROW][C]217[/C][C]15.85[/C][C]12.9629[/C][C]2.88708[/C][/ROW]
[ROW][C]218[/C][C]18.15[/C][C]12.8916[/C][C]5.25838[/C][/ROW]
[ROW][C]219[/C][C]11.15[/C][C]12.6025[/C][C]-1.45252[/C][/ROW]
[ROW][C]220[/C][C]15.65[/C][C]13.0315[/C][C]2.61847[/C][/ROW]
[ROW][C]221[/C][C]17.75[/C][C]12.3903[/C][C]5.3597[/C][/ROW]
[ROW][C]222[/C][C]7.65[/C][C]12.2766[/C][C]-4.62661[/C][/ROW]
[ROW][C]223[/C][C]12.35[/C][C]13.4034[/C][C]-1.05336[/C][/ROW]
[ROW][C]224[/C][C]15.6[/C][C]12.433[/C][C]3.16702[/C][/ROW]
[ROW][C]225[/C][C]19.3[/C][C]12.6722[/C][C]6.62781[/C][/ROW]
[ROW][C]226[/C][C]15.2[/C][C]12.6906[/C][C]2.50938[/C][/ROW]
[ROW][C]227[/C][C]17.1[/C][C]13.3127[/C][C]3.78732[/C][/ROW]
[ROW][C]228[/C][C]15.6[/C][C]12.8625[/C][C]2.7375[/C][/ROW]
[ROW][C]229[/C][C]18.4[/C][C]12.7113[/C][C]5.68866[/C][/ROW]
[ROW][C]230[/C][C]19.05[/C][C]12.8819[/C][C]6.16807[/C][/ROW]
[ROW][C]231[/C][C]18.55[/C][C]13.2035[/C][C]5.34653[/C][/ROW]
[ROW][C]232[/C][C]19.1[/C][C]13.1735[/C][C]5.92649[/C][/ROW]
[ROW][C]233[/C][C]13.1[/C][C]12.451[/C][C]0.649042[/C][/ROW]
[ROW][C]234[/C][C]12.85[/C][C]12.5302[/C][C]0.31979[/C][/ROW]
[ROW][C]235[/C][C]9.5[/C][C]12.9715[/C][C]-3.47155[/C][/ROW]
[ROW][C]236[/C][C]4.5[/C][C]13.3543[/C][C]-8.8543[/C][/ROW]
[ROW][C]237[/C][C]11.85[/C][C]12.5337[/C][C]-0.683682[/C][/ROW]
[ROW][C]238[/C][C]13.6[/C][C]12.5557[/C][C]1.04431[/C][/ROW]
[ROW][C]239[/C][C]11.7[/C][C]14.6144[/C][C]-2.9144[/C][/ROW]
[ROW][C]240[/C][C]12.4[/C][C]13.0431[/C][C]-0.643121[/C][/ROW]
[ROW][C]241[/C][C]13.35[/C][C]13.1931[/C][C]0.156948[/C][/ROW]
[ROW][C]242[/C][C]11.4[/C][C]11.8685[/C][C]-0.468542[/C][/ROW]
[ROW][C]243[/C][C]14.9[/C][C]13.2123[/C][C]1.68768[/C][/ROW]
[ROW][C]244[/C][C]19.9[/C][C]13.0207[/C][C]6.87933[/C][/ROW]
[ROW][C]245[/C][C]11.2[/C][C]13.2241[/C][C]-2.02414[/C][/ROW]
[ROW][C]246[/C][C]14.6[/C][C]12.3702[/C][C]2.2298[/C][/ROW]
[ROW][C]247[/C][C]17.6[/C][C]13.3519[/C][C]4.24811[/C][/ROW]
[ROW][C]248[/C][C]14.05[/C][C]12.8383[/C][C]1.21169[/C][/ROW]
[ROW][C]249[/C][C]16.1[/C][C]13.0631[/C][C]3.03694[/C][/ROW]
[ROW][C]250[/C][C]13.35[/C][C]13.0631[/C][C]0.28694[/C][/ROW]
[ROW][C]251[/C][C]11.85[/C][C]12.6216[/C][C]-0.771557[/C][/ROW]
[ROW][C]252[/C][C]11.95[/C][C]12.7616[/C][C]-0.811631[/C][/ROW]
[ROW][C]253[/C][C]14.75[/C][C]12.8032[/C][C]1.94676[/C][/ROW]
[ROW][C]254[/C][C]15.15[/C][C]12.3098[/C][C]2.84017[/C][/ROW]
[ROW][C]255[/C][C]13.2[/C][C]12.479[/C][C]0.721034[/C][/ROW]
[ROW][C]256[/C][C]16.85[/C][C]13.1322[/C][C]3.71777[/C][/ROW]
[ROW][C]257[/C][C]7.85[/C][C]12.5907[/C][C]-4.7407[/C][/ROW]
[ROW][C]258[/C][C]7.7[/C][C]12.2828[/C][C]-4.58283[/C][/ROW]
[ROW][C]259[/C][C]12.6[/C][C]12.5042[/C][C]0.0957772[/C][/ROW]
[ROW][C]260[/C][C]7.85[/C][C]13.4228[/C][C]-5.5728[/C][/ROW]
[ROW][C]261[/C][C]10.95[/C][C]13.7211[/C][C]-2.77115[/C][/ROW]
[ROW][C]262[/C][C]12.35[/C][C]12.5505[/C][C]-0.200484[/C][/ROW]
[ROW][C]263[/C][C]9.95[/C][C]13.2611[/C][C]-3.3111[/C][/ROW]
[ROW][C]264[/C][C]14.9[/C][C]13.1371[/C][C]1.7629[/C][/ROW]
[ROW][C]265[/C][C]16.65[/C][C]13.0425[/C][C]3.60755[/C][/ROW]
[ROW][C]266[/C][C]13.4[/C][C]13.4341[/C][C]-0.0340522[/C][/ROW]
[ROW][C]267[/C][C]13.95[/C][C]13.5721[/C][C]0.377945[/C][/ROW]
[ROW][C]268[/C][C]15.7[/C][C]12.6319[/C][C]3.06808[/C][/ROW]
[ROW][C]269[/C][C]16.85[/C][C]13.2128[/C][C]3.63718[/C][/ROW]
[ROW][C]270[/C][C]10.95[/C][C]12.9227[/C][C]-1.97265[/C][/ROW]
[ROW][C]271[/C][C]15.35[/C][C]12.651[/C][C]2.69898[/C][/ROW]
[ROW][C]272[/C][C]12.2[/C][C]12.3496[/C][C]-0.149587[/C][/ROW]
[ROW][C]273[/C][C]15.1[/C][C]12.7819[/C][C]2.31809[/C][/ROW]
[ROW][C]274[/C][C]17.75[/C][C]12.9317[/C][C]4.81833[/C][/ROW]
[ROW][C]275[/C][C]15.2[/C][C]13.2125[/C][C]1.98751[/C][/ROW]
[ROW][C]276[/C][C]14.6[/C][C]13.463[/C][C]1.13699[/C][/ROW]
[ROW][C]277[/C][C]16.65[/C][C]12.6741[/C][C]3.97591[/C][/ROW]
[ROW][C]278[/C][C]8.1[/C][C]12.5887[/C][C]-4.48868[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268260&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268260&T=4

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
112.913.4311-0.531142
212.213.3326-1.13262
312.813.3824-0.582415
47.412.9923-5.59232
56.713.5323-6.83235
612.612.9052-0.305178
714.812.45332.34674
813.313.4476-0.147607
911.112.5522-1.45216
108.214.7367-6.53672
1111.412.8726-1.47258
126.413.4136-7.01355
1310.612.1525-1.5525
141212.6911-0.691061
156.312.7718-6.47182
1611.312.6266-1.3266
1711.912.8105-0.910526
189.312.8313-3.5313
199.613.3141-3.71408
201012.473-2.47297
216.412.9521-6.55211
2213.812.9150.884966
2310.812.7821-1.98207
2413.812.73111.06889
2511.712.9459-1.24589
2610.912.771-1.87098
2716.112.88383.21616
2813.413.09640.303614
299.913.1726-3.27261
3011.512.4101-0.910074
318.312.2006-3.90055
3211.713.1583-1.45827
33912.6633-3.66334
349.712.6008-2.90078
3510.812.5535-1.75345
3610.313.2229-2.92291
3710.412.7911-2.39109
3812.713.0458-0.345755
399.313.5658-4.26578
4011.812.2894-0.489436
415.913.5722-7.67222
4211.413.3321-1.93212
431312.8310.169032
4410.812.0482-1.24816
4512.312.5214-0.221419
4611.313.253-1.95304
4711.813.2644-1.46435
487.912.992-5.09199
4912.712.69160.00843549
5012.313.0714-0.771406
5111.612.5305-0.930545
526.713.0146-6.31456
5310.913.1714-2.27144
5412.112.872-0.772019
5513.313.373-0.0730031
5610.112.8514-2.75141
575.712.1411-6.44107
5814.312.79741.50264
59813.0312-5.03119
6013.313.09150.208487
619.313.2927-3.99275
6212.512.802-0.302012
637.611.9067-4.30674
6415.913.0822.81801
659.213.1968-3.99675
669.112.9248-3.82478
6711.112.7347-1.63475
681313.4129-0.412881
6914.512.84161.65845
7012.212.8102-0.61019
7112.313.246-0.945981
7211.413.0917-1.69168
738.813.2571-4.45707
7414.613.87450.72551
7512.611.96810.631932
761312.64240.357607
7712.613.1018-0.501763
7813.213.273-0.0729741
799.912.5093-2.60926
807.712.7108-5.01083
8110.512.9312-2.43116
8213.412.63070.769258
8310.912.5703-1.67025
844.312.7729-8.47289
8510.312.9955-2.69552
8611.813.1446-1.34455
8711.213.1523-1.95234
8811.412.4908-1.09084
898.612.8637-4.26373
9013.212.61060.589365
9112.613.1149-0.514924
925.612.4847-6.88468
939.913.1544-3.25441
948.812.3566-3.55659
957.713.2427-5.54268
96912.9923-3.99232
977.313.0551-5.75511
9811.412.8253-1.42526
9913.612.91070.689277
1007.912.7515-4.85155
10110.712.9024-2.20238
10210.312.6715-2.37146
1038.312.3191-4.01912
1049.612.8115-3.21153
10514.212.93131.26867
1068.513.064-4.56396
10713.513.29710.202885
1084.912.5302-7.63021
1096.413.123-6.72304
1109.613.3125-3.71252
11111.613.0322-1.4322
11211.113.1724-2.07244
1134.3513.8352-9.48517
11412.712.8692-0.169168
11518.112.69355.40647
11617.8512.86224.98784
11716.613.53283.06715
11812.613.2725-0.672529
11917.113.61293.48706
12019.113.31275.78732
12116.112.9753.12498
12213.3513.05160.298365
12318.413.88564.51436
12414.712.69162.00844
12510.613.1118-2.51179
12612.612.9022-0.302208
12716.212.72233.47768
12813.613.09180.508152
12918.913.09295.80715
13014.113.0641.03604
13114.513.06691.43307
13216.1512.94423.20584
13314.7512.59042.15964
13414.812.9721.82795
13512.4512.9102-0.460219
13612.6513.5938-0.943839
13717.3513.11154.23855
1388.612.7309-4.13094
13918.412.77295.62711
14016.113.95752.14245
14111.612.6544-1.05444
14217.7512.65035.09965
14315.2512.79512.45493
14417.6512.33145.31862
14516.3512.93153.4185
14617.6513.76523.88483
14713.614.2558-0.655842
14814.3513.35240.997607
14914.7513.37231.37767
15018.2513.3374.91301
1519.912.3118-2.41178
1521613.40352.59647
15318.2513.40354.84647
15416.8512.95013.8999
15514.613.51361.08642
15613.8513.66470.185256
15718.9513.68525.26481
15815.612.72182.87825
15914.8513.74481.10517
16011.7512.7502-1.00021
16118.4512.99275.45728
16215.912.93172.96833
16317.113.29173.80826
16416.113.59352.5065
16519.913.90765.99235
16610.9512.5412-1.59119
16718.4512.51185.93816
16815.112.94232.15775
1691513.57371.42627
17011.3512.8471-1.4971
17115.9513.01312.9369
17218.113.03625.06377
17314.612.83291.76713
17415.413.4361.96404
17515.413.31572.08435
17617.612.47185.12821
17713.3513.4355-0.0854529
17819.112.68926.41078
17915.3513.07142.27859
1807.612.5439-4.94393
18113.413.2860.113974
18213.913.1820.717979
18319.112.85116.24893
18415.2512.75122.49879
18512.912.56810.331927
18616.113.1772.92302
18717.3513.0664.28397
18813.1512.92420.225781
18912.1513.0662-0.916197
19012.612.59210.0079025
19110.3513.1115-2.76145
19215.412.66382.73616
1939.613.6134-4.01344
19418.213.14495.05511
19513.613.37170.228339
19614.8513.77191.07806
19714.7512.55012.19985
19814.113.00521.09479
19914.913.01131.88875
20016.2513.39332.85672
20119.2515.01514.23492
20213.614.1751-0.57508
20313.612.99180.608181
20415.6512.593.05997
20512.7512.16010.589885
20614.612.63011.96993
2079.8512.751-2.90105
20812.6513.5584-0.90839
20919.212.42976.77032
21016.612.41154.18853
21111.212.9731-1.77311
21215.2512.7622.48803
21311.912.6711-0.771123
21413.212.330.870016
21516.3512.53053.81945
21612.413.5374-1.13739
21715.8512.96292.88708
21818.1512.89165.25838
21911.1512.6025-1.45252
22015.6513.03152.61847
22117.7512.39035.3597
2227.6512.2766-4.62661
22312.3513.4034-1.05336
22415.612.4333.16702
22519.312.67226.62781
22615.212.69062.50938
22717.113.31273.78732
22815.612.86252.7375
22918.412.71135.68866
23019.0512.88196.16807
23118.5513.20355.34653
23219.113.17355.92649
23313.112.4510.649042
23412.8512.53020.31979
2359.512.9715-3.47155
2364.513.3543-8.8543
23711.8512.5337-0.683682
23813.612.55571.04431
23911.714.6144-2.9144
24012.413.0431-0.643121
24113.3513.19310.156948
24211.411.8685-0.468542
24314.913.21231.68768
24419.913.02076.87933
24511.213.2241-2.02414
24614.612.37022.2298
24717.613.35194.24811
24814.0512.83831.21169
24916.113.06313.03694
25013.3513.06310.28694
25111.8512.6216-0.771557
25211.9512.7616-0.811631
25314.7512.80321.94676
25415.1512.30982.84017
25513.212.4790.721034
25616.8513.13223.71777
2577.8512.5907-4.7407
2587.712.2828-4.58283
25912.612.50420.0957772
2607.8513.4228-5.5728
26110.9513.7211-2.77115
26212.3512.5505-0.200484
2639.9513.2611-3.3111
26414.913.13711.7629
26516.6513.04253.60755
26613.413.4341-0.0340522
26713.9513.57210.377945
26815.712.63193.06808
26916.8513.21283.63718
27010.9512.9227-1.97265
27115.3512.6512.69898
27212.212.3496-0.149587
27315.112.78192.31809
27417.7512.93174.81833
27515.213.21251.98751
27614.613.4631.13699
27716.6512.67413.97591
2788.112.5887-4.48868






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.4704770.9409550.529523
80.3050080.6100160.694992
90.2260110.4520210.773989
100.1922680.3845360.807732
110.1199910.2399820.880009
120.1181240.2362490.881876
130.1172910.2345830.882709
140.08430270.1686050.915697
150.1023730.2047460.897627
160.07236540.1447310.927635
170.04622750.0924550.953773
180.03036960.06073920.96963
190.01928960.03857930.98071
200.01140450.02280890.988596
210.0132010.0264020.986799
220.01424440.02848890.985756
230.008746740.01749350.991253
240.01321230.02642460.986788
250.008142530.01628510.991857
260.004945940.009891890.995054
270.01291480.02582970.987085
280.008222020.0164440.991778
290.005420530.01084110.994579
300.003336280.006672560.996664
310.01336440.02672880.986636
320.01014420.02028840.989856
330.009209780.01841960.99079
340.00699540.01399080.993005
350.004923170.009846340.995077
360.003276630.006553270.996723
370.002134930.004269860.997865
380.001394990.002789990.998605
390.00105180.00210360.998948
400.0006870250.001374050.999313
410.001681060.003362120.998319
420.001267110.002534220.998733
430.001227320.002454650.998773
440.0008094460.001618890.999191
450.0005064130.001012830.999494
460.0004032030.0008064070.999597
470.0002601430.0005202860.99974
480.0002420720.0004841440.999758
490.0002398040.0004796080.99976
500.0001920680.0003841360.999808
510.0001272410.0002544830.999873
520.0004232640.0008465290.999577
530.0002864380.0005728760.999714
540.0002334470.0004668950.999767
550.0002940370.0005880740.999706
560.0002011550.000402310.999799
570.001130260.002260510.99887
580.0008941770.001788350.999106
590.0009233780.001846760.999077
600.0009440510.00188810.999056
610.0007534560.001506910.999247
620.0005964480.00119290.999404
630.001626310.003252630.998374
640.003150210.006300420.99685
650.002958620.005917240.997041
660.002764220.005528430.997236
670.002031030.004062070.997969
680.001816130.003632260.998184
690.00208030.00416060.99792
700.00157180.00314360.998428
710.001179610.002359220.99882
720.0008721670.001744330.999128
730.0008864380.001772880.999114
740.001118880.002237750.998881
750.0008599720.001719940.99914
760.0006770660.001354130.999323
770.000509980.001019960.99949
780.0004493840.0008987690.999551
790.0003594150.000718830.999641
800.0004710070.0009420140.999529
810.0003579740.0007159480.999642
820.0003174620.0006349240.999683
830.000229920.000459840.99977
840.001434670.002869340.998565
850.001166340.002332680.998834
860.0008927810.001785560.999107
870.0006885720.001377140.999311
880.0005162630.001032530.999484
890.0005475140.001095030.999452
900.000471020.000942040.999529
910.0003677820.0007355640.999632
920.001163530.002327050.998836
930.00100820.002016390.998992
940.0009609430.001921890.999039
950.001419550.00283910.99858
960.001444820.002889640.998555
970.002233110.004466220.997767
980.00178550.003571010.998214
990.001609930.003219860.99839
1000.002112570.004225140.997887
1010.001758140.003516280.998242
1020.001499480.002998960.998501
1030.001799390.003598780.998201
1040.00170930.00341860.998291
1050.001748440.003496870.998252
1060.002102420.004204830.997898
1070.001965690.003931390.998034
1080.007820640.01564130.992179
1090.01679320.03358640.983207
1100.01759160.03518310.982408
1110.01561620.03123250.984384
1120.01418190.02836370.985818
1130.06849010.136980.93151
1140.06208410.1241680.937916
1150.1236760.2473510.876324
1160.2005910.4011810.799409
1170.2425260.4850520.757474
1180.2247690.4495380.775231
1190.2749890.5499770.725011
1200.4160470.8320940.583953
1210.4496570.8993140.550343
1220.430110.8602210.56989
1230.5084810.9830380.491519
1240.510080.979840.48992
1250.5069950.986010.493005
1260.4842690.9685370.515731
1270.5100190.9799620.489981
1280.4894780.9789550.510522
1290.6111340.7777310.388866
1300.5927990.8144010.407201
1310.5779050.8441910.422095
1320.5959750.8080510.404025
1330.5883730.8232550.411627
1340.5775620.8448760.422438
1350.5546440.8907130.445356
1360.5331830.9336330.466817
1370.5715260.8569490.428474
1380.6133840.7732330.386616
1390.6963110.6073780.303689
1400.6898090.6203820.310191
1410.6625680.6748630.337432
1420.7148250.570350.285175
1430.7099530.5800950.290047
1440.761890.4762190.23811
1450.7680780.4638450.231922
1460.7846250.4307510.215375
1470.7665950.466810.233405
1480.7463440.5073120.253656
1490.7266810.5466380.273319
1500.7668390.4663220.233161
1510.7652440.4695110.234756
1520.756650.4866990.24335
1530.787470.425060.21253
1540.7940290.4119430.205971
1550.7739270.4521460.226073
1560.751280.497440.24872
1570.7900310.4199380.209969
1580.7838150.4323690.216185
1590.7609880.4780240.239012
1600.7443830.5112330.255617
1610.7862540.4274910.213746
1620.7791630.4416740.220837
1630.7815010.4369990.218499
1640.7669530.4660940.233047
1650.8196080.3607840.180392
1660.8054110.3891790.194589
1670.8504870.2990250.149513
1680.83670.3266010.1633
1690.8170360.3659280.182964
1700.8039690.3920630.196031
1710.7957410.4085180.204259
1720.8231610.3536790.176839
1730.8048480.3903040.195152
1740.7859250.428150.214075
1750.7669570.4660860.233043
1760.7952920.4094160.204708
1770.7701240.4597520.229876
1780.8293910.3412180.170609
1790.8136420.3727160.186358
1800.8568340.2863330.143166
1810.8361430.3277140.163857
1820.8130230.3739540.186977
1830.8603890.2792230.139611
1840.847570.3048610.15243
1850.8262310.3475370.173769
1860.8158690.3682620.184131
1870.824040.351920.17596
1880.8009290.3981420.199071
1890.7817670.4364660.218233
1900.7566210.4867580.243379
1910.75780.4843990.2422
1920.7413620.5172750.258638
1930.7715080.4569850.228492
1940.7944170.4111670.205583
1950.7670770.4658470.232923
1960.7381270.5237460.261873
1970.7142960.5714070.285704
1980.6824340.6351330.317566
1990.6531890.6936220.346811
2000.6341720.7316550.365828
2010.7008170.5983660.299183
2020.6666690.6666620.333331
2030.632060.7358790.36794
2040.6102710.7794570.389729
2050.5797890.8404210.420211
2060.5461830.9076350.453817
2070.5653910.8692180.434609
2080.5278820.9442360.472118
2090.5984040.8031910.401596
2100.5974820.8050360.402518
2110.5806410.8387190.419359
2120.5514220.8971560.448578
2130.5253010.9493980.474699
2140.4885750.977150.511425
2150.4760110.9520210.523989
2160.4400880.8801770.559912
2170.4183450.836690.581655
2180.4473220.8946450.552678
2190.4248490.8496970.575151
2200.3961540.7923070.603846
2210.4225510.8451030.577449
2220.4979350.995870.502065
2230.4633310.9266620.536669
2240.4419260.8838520.558074
2250.5349030.9301940.465097
2260.5080350.983930.491965
2270.5020190.9959610.497981
2280.4717850.9435690.528215
2290.5212650.957470.478735
2300.6103030.7793950.389697
2310.6598440.6803110.340156
2320.7456680.5086650.254332
2330.7055090.5889820.294491
2340.6618250.676350.338175
2350.6724930.6550140.327507
2360.908710.182580.09129
2370.890220.2195610.10978
2380.8639120.2721750.136088
2390.8569620.2860770.143038
2400.8327390.3345210.167261
2410.801420.3971610.19858
2420.7638870.4722250.236113
2430.7223980.5552040.277602
2440.868590.262820.13141
2450.8561350.2877290.143865
2460.8264850.3470290.173515
2470.8365290.3269410.163471
2480.8090790.3818430.190921
2490.787580.424840.21242
2500.7404160.5191690.259584
2510.6982090.6035810.301791
2520.652030.6959390.34797
2530.6034910.7930190.396509
2540.7466480.5067050.253352
2550.8120920.3758160.187908
2560.7823940.4352110.217606
2570.8808380.2383240.119162
2580.9672040.06559170.0327958
2590.9488720.1022560.0511279
2600.9905780.01884340.00942169
2610.9854940.02901240.0145062
2620.9801980.03960380.0198019
2630.9650420.06991610.0349581
2640.9466330.1067340.0533669
2650.9344660.1310680.0655338
2660.8949370.2101270.105063
2670.8309320.3381350.169068
2680.7446290.5107410.255371
2690.6272740.7454530.372726
2700.8698960.2602090.130104
2710.7577140.4845710.242286

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
7 & 0.470477 & 0.940955 & 0.529523 \tabularnewline
8 & 0.305008 & 0.610016 & 0.694992 \tabularnewline
9 & 0.226011 & 0.452021 & 0.773989 \tabularnewline
10 & 0.192268 & 0.384536 & 0.807732 \tabularnewline
11 & 0.119991 & 0.239982 & 0.880009 \tabularnewline
12 & 0.118124 & 0.236249 & 0.881876 \tabularnewline
13 & 0.117291 & 0.234583 & 0.882709 \tabularnewline
14 & 0.0843027 & 0.168605 & 0.915697 \tabularnewline
15 & 0.102373 & 0.204746 & 0.897627 \tabularnewline
16 & 0.0723654 & 0.144731 & 0.927635 \tabularnewline
17 & 0.0462275 & 0.092455 & 0.953773 \tabularnewline
18 & 0.0303696 & 0.0607392 & 0.96963 \tabularnewline
19 & 0.0192896 & 0.0385793 & 0.98071 \tabularnewline
20 & 0.0114045 & 0.0228089 & 0.988596 \tabularnewline
21 & 0.013201 & 0.026402 & 0.986799 \tabularnewline
22 & 0.0142444 & 0.0284889 & 0.985756 \tabularnewline
23 & 0.00874674 & 0.0174935 & 0.991253 \tabularnewline
24 & 0.0132123 & 0.0264246 & 0.986788 \tabularnewline
25 & 0.00814253 & 0.0162851 & 0.991857 \tabularnewline
26 & 0.00494594 & 0.00989189 & 0.995054 \tabularnewline
27 & 0.0129148 & 0.0258297 & 0.987085 \tabularnewline
28 & 0.00822202 & 0.016444 & 0.991778 \tabularnewline
29 & 0.00542053 & 0.0108411 & 0.994579 \tabularnewline
30 & 0.00333628 & 0.00667256 & 0.996664 \tabularnewline
31 & 0.0133644 & 0.0267288 & 0.986636 \tabularnewline
32 & 0.0101442 & 0.0202884 & 0.989856 \tabularnewline
33 & 0.00920978 & 0.0184196 & 0.99079 \tabularnewline
34 & 0.0069954 & 0.0139908 & 0.993005 \tabularnewline
35 & 0.00492317 & 0.00984634 & 0.995077 \tabularnewline
36 & 0.00327663 & 0.00655327 & 0.996723 \tabularnewline
37 & 0.00213493 & 0.00426986 & 0.997865 \tabularnewline
38 & 0.00139499 & 0.00278999 & 0.998605 \tabularnewline
39 & 0.0010518 & 0.0021036 & 0.998948 \tabularnewline
40 & 0.000687025 & 0.00137405 & 0.999313 \tabularnewline
41 & 0.00168106 & 0.00336212 & 0.998319 \tabularnewline
42 & 0.00126711 & 0.00253422 & 0.998733 \tabularnewline
43 & 0.00122732 & 0.00245465 & 0.998773 \tabularnewline
44 & 0.000809446 & 0.00161889 & 0.999191 \tabularnewline
45 & 0.000506413 & 0.00101283 & 0.999494 \tabularnewline
46 & 0.000403203 & 0.000806407 & 0.999597 \tabularnewline
47 & 0.000260143 & 0.000520286 & 0.99974 \tabularnewline
48 & 0.000242072 & 0.000484144 & 0.999758 \tabularnewline
49 & 0.000239804 & 0.000479608 & 0.99976 \tabularnewline
50 & 0.000192068 & 0.000384136 & 0.999808 \tabularnewline
51 & 0.000127241 & 0.000254483 & 0.999873 \tabularnewline
52 & 0.000423264 & 0.000846529 & 0.999577 \tabularnewline
53 & 0.000286438 & 0.000572876 & 0.999714 \tabularnewline
54 & 0.000233447 & 0.000466895 & 0.999767 \tabularnewline
55 & 0.000294037 & 0.000588074 & 0.999706 \tabularnewline
56 & 0.000201155 & 0.00040231 & 0.999799 \tabularnewline
57 & 0.00113026 & 0.00226051 & 0.99887 \tabularnewline
58 & 0.000894177 & 0.00178835 & 0.999106 \tabularnewline
59 & 0.000923378 & 0.00184676 & 0.999077 \tabularnewline
60 & 0.000944051 & 0.0018881 & 0.999056 \tabularnewline
61 & 0.000753456 & 0.00150691 & 0.999247 \tabularnewline
62 & 0.000596448 & 0.0011929 & 0.999404 \tabularnewline
63 & 0.00162631 & 0.00325263 & 0.998374 \tabularnewline
64 & 0.00315021 & 0.00630042 & 0.99685 \tabularnewline
65 & 0.00295862 & 0.00591724 & 0.997041 \tabularnewline
66 & 0.00276422 & 0.00552843 & 0.997236 \tabularnewline
67 & 0.00203103 & 0.00406207 & 0.997969 \tabularnewline
68 & 0.00181613 & 0.00363226 & 0.998184 \tabularnewline
69 & 0.0020803 & 0.0041606 & 0.99792 \tabularnewline
70 & 0.0015718 & 0.0031436 & 0.998428 \tabularnewline
71 & 0.00117961 & 0.00235922 & 0.99882 \tabularnewline
72 & 0.000872167 & 0.00174433 & 0.999128 \tabularnewline
73 & 0.000886438 & 0.00177288 & 0.999114 \tabularnewline
74 & 0.00111888 & 0.00223775 & 0.998881 \tabularnewline
75 & 0.000859972 & 0.00171994 & 0.99914 \tabularnewline
76 & 0.000677066 & 0.00135413 & 0.999323 \tabularnewline
77 & 0.00050998 & 0.00101996 & 0.99949 \tabularnewline
78 & 0.000449384 & 0.000898769 & 0.999551 \tabularnewline
79 & 0.000359415 & 0.00071883 & 0.999641 \tabularnewline
80 & 0.000471007 & 0.000942014 & 0.999529 \tabularnewline
81 & 0.000357974 & 0.000715948 & 0.999642 \tabularnewline
82 & 0.000317462 & 0.000634924 & 0.999683 \tabularnewline
83 & 0.00022992 & 0.00045984 & 0.99977 \tabularnewline
84 & 0.00143467 & 0.00286934 & 0.998565 \tabularnewline
85 & 0.00116634 & 0.00233268 & 0.998834 \tabularnewline
86 & 0.000892781 & 0.00178556 & 0.999107 \tabularnewline
87 & 0.000688572 & 0.00137714 & 0.999311 \tabularnewline
88 & 0.000516263 & 0.00103253 & 0.999484 \tabularnewline
89 & 0.000547514 & 0.00109503 & 0.999452 \tabularnewline
90 & 0.00047102 & 0.00094204 & 0.999529 \tabularnewline
91 & 0.000367782 & 0.000735564 & 0.999632 \tabularnewline
92 & 0.00116353 & 0.00232705 & 0.998836 \tabularnewline
93 & 0.0010082 & 0.00201639 & 0.998992 \tabularnewline
94 & 0.000960943 & 0.00192189 & 0.999039 \tabularnewline
95 & 0.00141955 & 0.0028391 & 0.99858 \tabularnewline
96 & 0.00144482 & 0.00288964 & 0.998555 \tabularnewline
97 & 0.00223311 & 0.00446622 & 0.997767 \tabularnewline
98 & 0.0017855 & 0.00357101 & 0.998214 \tabularnewline
99 & 0.00160993 & 0.00321986 & 0.99839 \tabularnewline
100 & 0.00211257 & 0.00422514 & 0.997887 \tabularnewline
101 & 0.00175814 & 0.00351628 & 0.998242 \tabularnewline
102 & 0.00149948 & 0.00299896 & 0.998501 \tabularnewline
103 & 0.00179939 & 0.00359878 & 0.998201 \tabularnewline
104 & 0.0017093 & 0.0034186 & 0.998291 \tabularnewline
105 & 0.00174844 & 0.00349687 & 0.998252 \tabularnewline
106 & 0.00210242 & 0.00420483 & 0.997898 \tabularnewline
107 & 0.00196569 & 0.00393139 & 0.998034 \tabularnewline
108 & 0.00782064 & 0.0156413 & 0.992179 \tabularnewline
109 & 0.0167932 & 0.0335864 & 0.983207 \tabularnewline
110 & 0.0175916 & 0.0351831 & 0.982408 \tabularnewline
111 & 0.0156162 & 0.0312325 & 0.984384 \tabularnewline
112 & 0.0141819 & 0.0283637 & 0.985818 \tabularnewline
113 & 0.0684901 & 0.13698 & 0.93151 \tabularnewline
114 & 0.0620841 & 0.124168 & 0.937916 \tabularnewline
115 & 0.123676 & 0.247351 & 0.876324 \tabularnewline
116 & 0.200591 & 0.401181 & 0.799409 \tabularnewline
117 & 0.242526 & 0.485052 & 0.757474 \tabularnewline
118 & 0.224769 & 0.449538 & 0.775231 \tabularnewline
119 & 0.274989 & 0.549977 & 0.725011 \tabularnewline
120 & 0.416047 & 0.832094 & 0.583953 \tabularnewline
121 & 0.449657 & 0.899314 & 0.550343 \tabularnewline
122 & 0.43011 & 0.860221 & 0.56989 \tabularnewline
123 & 0.508481 & 0.983038 & 0.491519 \tabularnewline
124 & 0.51008 & 0.97984 & 0.48992 \tabularnewline
125 & 0.506995 & 0.98601 & 0.493005 \tabularnewline
126 & 0.484269 & 0.968537 & 0.515731 \tabularnewline
127 & 0.510019 & 0.979962 & 0.489981 \tabularnewline
128 & 0.489478 & 0.978955 & 0.510522 \tabularnewline
129 & 0.611134 & 0.777731 & 0.388866 \tabularnewline
130 & 0.592799 & 0.814401 & 0.407201 \tabularnewline
131 & 0.577905 & 0.844191 & 0.422095 \tabularnewline
132 & 0.595975 & 0.808051 & 0.404025 \tabularnewline
133 & 0.588373 & 0.823255 & 0.411627 \tabularnewline
134 & 0.577562 & 0.844876 & 0.422438 \tabularnewline
135 & 0.554644 & 0.890713 & 0.445356 \tabularnewline
136 & 0.533183 & 0.933633 & 0.466817 \tabularnewline
137 & 0.571526 & 0.856949 & 0.428474 \tabularnewline
138 & 0.613384 & 0.773233 & 0.386616 \tabularnewline
139 & 0.696311 & 0.607378 & 0.303689 \tabularnewline
140 & 0.689809 & 0.620382 & 0.310191 \tabularnewline
141 & 0.662568 & 0.674863 & 0.337432 \tabularnewline
142 & 0.714825 & 0.57035 & 0.285175 \tabularnewline
143 & 0.709953 & 0.580095 & 0.290047 \tabularnewline
144 & 0.76189 & 0.476219 & 0.23811 \tabularnewline
145 & 0.768078 & 0.463845 & 0.231922 \tabularnewline
146 & 0.784625 & 0.430751 & 0.215375 \tabularnewline
147 & 0.766595 & 0.46681 & 0.233405 \tabularnewline
148 & 0.746344 & 0.507312 & 0.253656 \tabularnewline
149 & 0.726681 & 0.546638 & 0.273319 \tabularnewline
150 & 0.766839 & 0.466322 & 0.233161 \tabularnewline
151 & 0.765244 & 0.469511 & 0.234756 \tabularnewline
152 & 0.75665 & 0.486699 & 0.24335 \tabularnewline
153 & 0.78747 & 0.42506 & 0.21253 \tabularnewline
154 & 0.794029 & 0.411943 & 0.205971 \tabularnewline
155 & 0.773927 & 0.452146 & 0.226073 \tabularnewline
156 & 0.75128 & 0.49744 & 0.24872 \tabularnewline
157 & 0.790031 & 0.419938 & 0.209969 \tabularnewline
158 & 0.783815 & 0.432369 & 0.216185 \tabularnewline
159 & 0.760988 & 0.478024 & 0.239012 \tabularnewline
160 & 0.744383 & 0.511233 & 0.255617 \tabularnewline
161 & 0.786254 & 0.427491 & 0.213746 \tabularnewline
162 & 0.779163 & 0.441674 & 0.220837 \tabularnewline
163 & 0.781501 & 0.436999 & 0.218499 \tabularnewline
164 & 0.766953 & 0.466094 & 0.233047 \tabularnewline
165 & 0.819608 & 0.360784 & 0.180392 \tabularnewline
166 & 0.805411 & 0.389179 & 0.194589 \tabularnewline
167 & 0.850487 & 0.299025 & 0.149513 \tabularnewline
168 & 0.8367 & 0.326601 & 0.1633 \tabularnewline
169 & 0.817036 & 0.365928 & 0.182964 \tabularnewline
170 & 0.803969 & 0.392063 & 0.196031 \tabularnewline
171 & 0.795741 & 0.408518 & 0.204259 \tabularnewline
172 & 0.823161 & 0.353679 & 0.176839 \tabularnewline
173 & 0.804848 & 0.390304 & 0.195152 \tabularnewline
174 & 0.785925 & 0.42815 & 0.214075 \tabularnewline
175 & 0.766957 & 0.466086 & 0.233043 \tabularnewline
176 & 0.795292 & 0.409416 & 0.204708 \tabularnewline
177 & 0.770124 & 0.459752 & 0.229876 \tabularnewline
178 & 0.829391 & 0.341218 & 0.170609 \tabularnewline
179 & 0.813642 & 0.372716 & 0.186358 \tabularnewline
180 & 0.856834 & 0.286333 & 0.143166 \tabularnewline
181 & 0.836143 & 0.327714 & 0.163857 \tabularnewline
182 & 0.813023 & 0.373954 & 0.186977 \tabularnewline
183 & 0.860389 & 0.279223 & 0.139611 \tabularnewline
184 & 0.84757 & 0.304861 & 0.15243 \tabularnewline
185 & 0.826231 & 0.347537 & 0.173769 \tabularnewline
186 & 0.815869 & 0.368262 & 0.184131 \tabularnewline
187 & 0.82404 & 0.35192 & 0.17596 \tabularnewline
188 & 0.800929 & 0.398142 & 0.199071 \tabularnewline
189 & 0.781767 & 0.436466 & 0.218233 \tabularnewline
190 & 0.756621 & 0.486758 & 0.243379 \tabularnewline
191 & 0.7578 & 0.484399 & 0.2422 \tabularnewline
192 & 0.741362 & 0.517275 & 0.258638 \tabularnewline
193 & 0.771508 & 0.456985 & 0.228492 \tabularnewline
194 & 0.794417 & 0.411167 & 0.205583 \tabularnewline
195 & 0.767077 & 0.465847 & 0.232923 \tabularnewline
196 & 0.738127 & 0.523746 & 0.261873 \tabularnewline
197 & 0.714296 & 0.571407 & 0.285704 \tabularnewline
198 & 0.682434 & 0.635133 & 0.317566 \tabularnewline
199 & 0.653189 & 0.693622 & 0.346811 \tabularnewline
200 & 0.634172 & 0.731655 & 0.365828 \tabularnewline
201 & 0.700817 & 0.598366 & 0.299183 \tabularnewline
202 & 0.666669 & 0.666662 & 0.333331 \tabularnewline
203 & 0.63206 & 0.735879 & 0.36794 \tabularnewline
204 & 0.610271 & 0.779457 & 0.389729 \tabularnewline
205 & 0.579789 & 0.840421 & 0.420211 \tabularnewline
206 & 0.546183 & 0.907635 & 0.453817 \tabularnewline
207 & 0.565391 & 0.869218 & 0.434609 \tabularnewline
208 & 0.527882 & 0.944236 & 0.472118 \tabularnewline
209 & 0.598404 & 0.803191 & 0.401596 \tabularnewline
210 & 0.597482 & 0.805036 & 0.402518 \tabularnewline
211 & 0.580641 & 0.838719 & 0.419359 \tabularnewline
212 & 0.551422 & 0.897156 & 0.448578 \tabularnewline
213 & 0.525301 & 0.949398 & 0.474699 \tabularnewline
214 & 0.488575 & 0.97715 & 0.511425 \tabularnewline
215 & 0.476011 & 0.952021 & 0.523989 \tabularnewline
216 & 0.440088 & 0.880177 & 0.559912 \tabularnewline
217 & 0.418345 & 0.83669 & 0.581655 \tabularnewline
218 & 0.447322 & 0.894645 & 0.552678 \tabularnewline
219 & 0.424849 & 0.849697 & 0.575151 \tabularnewline
220 & 0.396154 & 0.792307 & 0.603846 \tabularnewline
221 & 0.422551 & 0.845103 & 0.577449 \tabularnewline
222 & 0.497935 & 0.99587 & 0.502065 \tabularnewline
223 & 0.463331 & 0.926662 & 0.536669 \tabularnewline
224 & 0.441926 & 0.883852 & 0.558074 \tabularnewline
225 & 0.534903 & 0.930194 & 0.465097 \tabularnewline
226 & 0.508035 & 0.98393 & 0.491965 \tabularnewline
227 & 0.502019 & 0.995961 & 0.497981 \tabularnewline
228 & 0.471785 & 0.943569 & 0.528215 \tabularnewline
229 & 0.521265 & 0.95747 & 0.478735 \tabularnewline
230 & 0.610303 & 0.779395 & 0.389697 \tabularnewline
231 & 0.659844 & 0.680311 & 0.340156 \tabularnewline
232 & 0.745668 & 0.508665 & 0.254332 \tabularnewline
233 & 0.705509 & 0.588982 & 0.294491 \tabularnewline
234 & 0.661825 & 0.67635 & 0.338175 \tabularnewline
235 & 0.672493 & 0.655014 & 0.327507 \tabularnewline
236 & 0.90871 & 0.18258 & 0.09129 \tabularnewline
237 & 0.89022 & 0.219561 & 0.10978 \tabularnewline
238 & 0.863912 & 0.272175 & 0.136088 \tabularnewline
239 & 0.856962 & 0.286077 & 0.143038 \tabularnewline
240 & 0.832739 & 0.334521 & 0.167261 \tabularnewline
241 & 0.80142 & 0.397161 & 0.19858 \tabularnewline
242 & 0.763887 & 0.472225 & 0.236113 \tabularnewline
243 & 0.722398 & 0.555204 & 0.277602 \tabularnewline
244 & 0.86859 & 0.26282 & 0.13141 \tabularnewline
245 & 0.856135 & 0.287729 & 0.143865 \tabularnewline
246 & 0.826485 & 0.347029 & 0.173515 \tabularnewline
247 & 0.836529 & 0.326941 & 0.163471 \tabularnewline
248 & 0.809079 & 0.381843 & 0.190921 \tabularnewline
249 & 0.78758 & 0.42484 & 0.21242 \tabularnewline
250 & 0.740416 & 0.519169 & 0.259584 \tabularnewline
251 & 0.698209 & 0.603581 & 0.301791 \tabularnewline
252 & 0.65203 & 0.695939 & 0.34797 \tabularnewline
253 & 0.603491 & 0.793019 & 0.396509 \tabularnewline
254 & 0.746648 & 0.506705 & 0.253352 \tabularnewline
255 & 0.812092 & 0.375816 & 0.187908 \tabularnewline
256 & 0.782394 & 0.435211 & 0.217606 \tabularnewline
257 & 0.880838 & 0.238324 & 0.119162 \tabularnewline
258 & 0.967204 & 0.0655917 & 0.0327958 \tabularnewline
259 & 0.948872 & 0.102256 & 0.0511279 \tabularnewline
260 & 0.990578 & 0.0188434 & 0.00942169 \tabularnewline
261 & 0.985494 & 0.0290124 & 0.0145062 \tabularnewline
262 & 0.980198 & 0.0396038 & 0.0198019 \tabularnewline
263 & 0.965042 & 0.0699161 & 0.0349581 \tabularnewline
264 & 0.946633 & 0.106734 & 0.0533669 \tabularnewline
265 & 0.934466 & 0.131068 & 0.0655338 \tabularnewline
266 & 0.894937 & 0.210127 & 0.105063 \tabularnewline
267 & 0.830932 & 0.338135 & 0.169068 \tabularnewline
268 & 0.744629 & 0.510741 & 0.255371 \tabularnewline
269 & 0.627274 & 0.745453 & 0.372726 \tabularnewline
270 & 0.869896 & 0.260209 & 0.130104 \tabularnewline
271 & 0.757714 & 0.484571 & 0.242286 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268260&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]7[/C][C]0.470477[/C][C]0.940955[/C][C]0.529523[/C][/ROW]
[ROW][C]8[/C][C]0.305008[/C][C]0.610016[/C][C]0.694992[/C][/ROW]
[ROW][C]9[/C][C]0.226011[/C][C]0.452021[/C][C]0.773989[/C][/ROW]
[ROW][C]10[/C][C]0.192268[/C][C]0.384536[/C][C]0.807732[/C][/ROW]
[ROW][C]11[/C][C]0.119991[/C][C]0.239982[/C][C]0.880009[/C][/ROW]
[ROW][C]12[/C][C]0.118124[/C][C]0.236249[/C][C]0.881876[/C][/ROW]
[ROW][C]13[/C][C]0.117291[/C][C]0.234583[/C][C]0.882709[/C][/ROW]
[ROW][C]14[/C][C]0.0843027[/C][C]0.168605[/C][C]0.915697[/C][/ROW]
[ROW][C]15[/C][C]0.102373[/C][C]0.204746[/C][C]0.897627[/C][/ROW]
[ROW][C]16[/C][C]0.0723654[/C][C]0.144731[/C][C]0.927635[/C][/ROW]
[ROW][C]17[/C][C]0.0462275[/C][C]0.092455[/C][C]0.953773[/C][/ROW]
[ROW][C]18[/C][C]0.0303696[/C][C]0.0607392[/C][C]0.96963[/C][/ROW]
[ROW][C]19[/C][C]0.0192896[/C][C]0.0385793[/C][C]0.98071[/C][/ROW]
[ROW][C]20[/C][C]0.0114045[/C][C]0.0228089[/C][C]0.988596[/C][/ROW]
[ROW][C]21[/C][C]0.013201[/C][C]0.026402[/C][C]0.986799[/C][/ROW]
[ROW][C]22[/C][C]0.0142444[/C][C]0.0284889[/C][C]0.985756[/C][/ROW]
[ROW][C]23[/C][C]0.00874674[/C][C]0.0174935[/C][C]0.991253[/C][/ROW]
[ROW][C]24[/C][C]0.0132123[/C][C]0.0264246[/C][C]0.986788[/C][/ROW]
[ROW][C]25[/C][C]0.00814253[/C][C]0.0162851[/C][C]0.991857[/C][/ROW]
[ROW][C]26[/C][C]0.00494594[/C][C]0.00989189[/C][C]0.995054[/C][/ROW]
[ROW][C]27[/C][C]0.0129148[/C][C]0.0258297[/C][C]0.987085[/C][/ROW]
[ROW][C]28[/C][C]0.00822202[/C][C]0.016444[/C][C]0.991778[/C][/ROW]
[ROW][C]29[/C][C]0.00542053[/C][C]0.0108411[/C][C]0.994579[/C][/ROW]
[ROW][C]30[/C][C]0.00333628[/C][C]0.00667256[/C][C]0.996664[/C][/ROW]
[ROW][C]31[/C][C]0.0133644[/C][C]0.0267288[/C][C]0.986636[/C][/ROW]
[ROW][C]32[/C][C]0.0101442[/C][C]0.0202884[/C][C]0.989856[/C][/ROW]
[ROW][C]33[/C][C]0.00920978[/C][C]0.0184196[/C][C]0.99079[/C][/ROW]
[ROW][C]34[/C][C]0.0069954[/C][C]0.0139908[/C][C]0.993005[/C][/ROW]
[ROW][C]35[/C][C]0.00492317[/C][C]0.00984634[/C][C]0.995077[/C][/ROW]
[ROW][C]36[/C][C]0.00327663[/C][C]0.00655327[/C][C]0.996723[/C][/ROW]
[ROW][C]37[/C][C]0.00213493[/C][C]0.00426986[/C][C]0.997865[/C][/ROW]
[ROW][C]38[/C][C]0.00139499[/C][C]0.00278999[/C][C]0.998605[/C][/ROW]
[ROW][C]39[/C][C]0.0010518[/C][C]0.0021036[/C][C]0.998948[/C][/ROW]
[ROW][C]40[/C][C]0.000687025[/C][C]0.00137405[/C][C]0.999313[/C][/ROW]
[ROW][C]41[/C][C]0.00168106[/C][C]0.00336212[/C][C]0.998319[/C][/ROW]
[ROW][C]42[/C][C]0.00126711[/C][C]0.00253422[/C][C]0.998733[/C][/ROW]
[ROW][C]43[/C][C]0.00122732[/C][C]0.00245465[/C][C]0.998773[/C][/ROW]
[ROW][C]44[/C][C]0.000809446[/C][C]0.00161889[/C][C]0.999191[/C][/ROW]
[ROW][C]45[/C][C]0.000506413[/C][C]0.00101283[/C][C]0.999494[/C][/ROW]
[ROW][C]46[/C][C]0.000403203[/C][C]0.000806407[/C][C]0.999597[/C][/ROW]
[ROW][C]47[/C][C]0.000260143[/C][C]0.000520286[/C][C]0.99974[/C][/ROW]
[ROW][C]48[/C][C]0.000242072[/C][C]0.000484144[/C][C]0.999758[/C][/ROW]
[ROW][C]49[/C][C]0.000239804[/C][C]0.000479608[/C][C]0.99976[/C][/ROW]
[ROW][C]50[/C][C]0.000192068[/C][C]0.000384136[/C][C]0.999808[/C][/ROW]
[ROW][C]51[/C][C]0.000127241[/C][C]0.000254483[/C][C]0.999873[/C][/ROW]
[ROW][C]52[/C][C]0.000423264[/C][C]0.000846529[/C][C]0.999577[/C][/ROW]
[ROW][C]53[/C][C]0.000286438[/C][C]0.000572876[/C][C]0.999714[/C][/ROW]
[ROW][C]54[/C][C]0.000233447[/C][C]0.000466895[/C][C]0.999767[/C][/ROW]
[ROW][C]55[/C][C]0.000294037[/C][C]0.000588074[/C][C]0.999706[/C][/ROW]
[ROW][C]56[/C][C]0.000201155[/C][C]0.00040231[/C][C]0.999799[/C][/ROW]
[ROW][C]57[/C][C]0.00113026[/C][C]0.00226051[/C][C]0.99887[/C][/ROW]
[ROW][C]58[/C][C]0.000894177[/C][C]0.00178835[/C][C]0.999106[/C][/ROW]
[ROW][C]59[/C][C]0.000923378[/C][C]0.00184676[/C][C]0.999077[/C][/ROW]
[ROW][C]60[/C][C]0.000944051[/C][C]0.0018881[/C][C]0.999056[/C][/ROW]
[ROW][C]61[/C][C]0.000753456[/C][C]0.00150691[/C][C]0.999247[/C][/ROW]
[ROW][C]62[/C][C]0.000596448[/C][C]0.0011929[/C][C]0.999404[/C][/ROW]
[ROW][C]63[/C][C]0.00162631[/C][C]0.00325263[/C][C]0.998374[/C][/ROW]
[ROW][C]64[/C][C]0.00315021[/C][C]0.00630042[/C][C]0.99685[/C][/ROW]
[ROW][C]65[/C][C]0.00295862[/C][C]0.00591724[/C][C]0.997041[/C][/ROW]
[ROW][C]66[/C][C]0.00276422[/C][C]0.00552843[/C][C]0.997236[/C][/ROW]
[ROW][C]67[/C][C]0.00203103[/C][C]0.00406207[/C][C]0.997969[/C][/ROW]
[ROW][C]68[/C][C]0.00181613[/C][C]0.00363226[/C][C]0.998184[/C][/ROW]
[ROW][C]69[/C][C]0.0020803[/C][C]0.0041606[/C][C]0.99792[/C][/ROW]
[ROW][C]70[/C][C]0.0015718[/C][C]0.0031436[/C][C]0.998428[/C][/ROW]
[ROW][C]71[/C][C]0.00117961[/C][C]0.00235922[/C][C]0.99882[/C][/ROW]
[ROW][C]72[/C][C]0.000872167[/C][C]0.00174433[/C][C]0.999128[/C][/ROW]
[ROW][C]73[/C][C]0.000886438[/C][C]0.00177288[/C][C]0.999114[/C][/ROW]
[ROW][C]74[/C][C]0.00111888[/C][C]0.00223775[/C][C]0.998881[/C][/ROW]
[ROW][C]75[/C][C]0.000859972[/C][C]0.00171994[/C][C]0.99914[/C][/ROW]
[ROW][C]76[/C][C]0.000677066[/C][C]0.00135413[/C][C]0.999323[/C][/ROW]
[ROW][C]77[/C][C]0.00050998[/C][C]0.00101996[/C][C]0.99949[/C][/ROW]
[ROW][C]78[/C][C]0.000449384[/C][C]0.000898769[/C][C]0.999551[/C][/ROW]
[ROW][C]79[/C][C]0.000359415[/C][C]0.00071883[/C][C]0.999641[/C][/ROW]
[ROW][C]80[/C][C]0.000471007[/C][C]0.000942014[/C][C]0.999529[/C][/ROW]
[ROW][C]81[/C][C]0.000357974[/C][C]0.000715948[/C][C]0.999642[/C][/ROW]
[ROW][C]82[/C][C]0.000317462[/C][C]0.000634924[/C][C]0.999683[/C][/ROW]
[ROW][C]83[/C][C]0.00022992[/C][C]0.00045984[/C][C]0.99977[/C][/ROW]
[ROW][C]84[/C][C]0.00143467[/C][C]0.00286934[/C][C]0.998565[/C][/ROW]
[ROW][C]85[/C][C]0.00116634[/C][C]0.00233268[/C][C]0.998834[/C][/ROW]
[ROW][C]86[/C][C]0.000892781[/C][C]0.00178556[/C][C]0.999107[/C][/ROW]
[ROW][C]87[/C][C]0.000688572[/C][C]0.00137714[/C][C]0.999311[/C][/ROW]
[ROW][C]88[/C][C]0.000516263[/C][C]0.00103253[/C][C]0.999484[/C][/ROW]
[ROW][C]89[/C][C]0.000547514[/C][C]0.00109503[/C][C]0.999452[/C][/ROW]
[ROW][C]90[/C][C]0.00047102[/C][C]0.00094204[/C][C]0.999529[/C][/ROW]
[ROW][C]91[/C][C]0.000367782[/C][C]0.000735564[/C][C]0.999632[/C][/ROW]
[ROW][C]92[/C][C]0.00116353[/C][C]0.00232705[/C][C]0.998836[/C][/ROW]
[ROW][C]93[/C][C]0.0010082[/C][C]0.00201639[/C][C]0.998992[/C][/ROW]
[ROW][C]94[/C][C]0.000960943[/C][C]0.00192189[/C][C]0.999039[/C][/ROW]
[ROW][C]95[/C][C]0.00141955[/C][C]0.0028391[/C][C]0.99858[/C][/ROW]
[ROW][C]96[/C][C]0.00144482[/C][C]0.00288964[/C][C]0.998555[/C][/ROW]
[ROW][C]97[/C][C]0.00223311[/C][C]0.00446622[/C][C]0.997767[/C][/ROW]
[ROW][C]98[/C][C]0.0017855[/C][C]0.00357101[/C][C]0.998214[/C][/ROW]
[ROW][C]99[/C][C]0.00160993[/C][C]0.00321986[/C][C]0.99839[/C][/ROW]
[ROW][C]100[/C][C]0.00211257[/C][C]0.00422514[/C][C]0.997887[/C][/ROW]
[ROW][C]101[/C][C]0.00175814[/C][C]0.00351628[/C][C]0.998242[/C][/ROW]
[ROW][C]102[/C][C]0.00149948[/C][C]0.00299896[/C][C]0.998501[/C][/ROW]
[ROW][C]103[/C][C]0.00179939[/C][C]0.00359878[/C][C]0.998201[/C][/ROW]
[ROW][C]104[/C][C]0.0017093[/C][C]0.0034186[/C][C]0.998291[/C][/ROW]
[ROW][C]105[/C][C]0.00174844[/C][C]0.00349687[/C][C]0.998252[/C][/ROW]
[ROW][C]106[/C][C]0.00210242[/C][C]0.00420483[/C][C]0.997898[/C][/ROW]
[ROW][C]107[/C][C]0.00196569[/C][C]0.00393139[/C][C]0.998034[/C][/ROW]
[ROW][C]108[/C][C]0.00782064[/C][C]0.0156413[/C][C]0.992179[/C][/ROW]
[ROW][C]109[/C][C]0.0167932[/C][C]0.0335864[/C][C]0.983207[/C][/ROW]
[ROW][C]110[/C][C]0.0175916[/C][C]0.0351831[/C][C]0.982408[/C][/ROW]
[ROW][C]111[/C][C]0.0156162[/C][C]0.0312325[/C][C]0.984384[/C][/ROW]
[ROW][C]112[/C][C]0.0141819[/C][C]0.0283637[/C][C]0.985818[/C][/ROW]
[ROW][C]113[/C][C]0.0684901[/C][C]0.13698[/C][C]0.93151[/C][/ROW]
[ROW][C]114[/C][C]0.0620841[/C][C]0.124168[/C][C]0.937916[/C][/ROW]
[ROW][C]115[/C][C]0.123676[/C][C]0.247351[/C][C]0.876324[/C][/ROW]
[ROW][C]116[/C][C]0.200591[/C][C]0.401181[/C][C]0.799409[/C][/ROW]
[ROW][C]117[/C][C]0.242526[/C][C]0.485052[/C][C]0.757474[/C][/ROW]
[ROW][C]118[/C][C]0.224769[/C][C]0.449538[/C][C]0.775231[/C][/ROW]
[ROW][C]119[/C][C]0.274989[/C][C]0.549977[/C][C]0.725011[/C][/ROW]
[ROW][C]120[/C][C]0.416047[/C][C]0.832094[/C][C]0.583953[/C][/ROW]
[ROW][C]121[/C][C]0.449657[/C][C]0.899314[/C][C]0.550343[/C][/ROW]
[ROW][C]122[/C][C]0.43011[/C][C]0.860221[/C][C]0.56989[/C][/ROW]
[ROW][C]123[/C][C]0.508481[/C][C]0.983038[/C][C]0.491519[/C][/ROW]
[ROW][C]124[/C][C]0.51008[/C][C]0.97984[/C][C]0.48992[/C][/ROW]
[ROW][C]125[/C][C]0.506995[/C][C]0.98601[/C][C]0.493005[/C][/ROW]
[ROW][C]126[/C][C]0.484269[/C][C]0.968537[/C][C]0.515731[/C][/ROW]
[ROW][C]127[/C][C]0.510019[/C][C]0.979962[/C][C]0.489981[/C][/ROW]
[ROW][C]128[/C][C]0.489478[/C][C]0.978955[/C][C]0.510522[/C][/ROW]
[ROW][C]129[/C][C]0.611134[/C][C]0.777731[/C][C]0.388866[/C][/ROW]
[ROW][C]130[/C][C]0.592799[/C][C]0.814401[/C][C]0.407201[/C][/ROW]
[ROW][C]131[/C][C]0.577905[/C][C]0.844191[/C][C]0.422095[/C][/ROW]
[ROW][C]132[/C][C]0.595975[/C][C]0.808051[/C][C]0.404025[/C][/ROW]
[ROW][C]133[/C][C]0.588373[/C][C]0.823255[/C][C]0.411627[/C][/ROW]
[ROW][C]134[/C][C]0.577562[/C][C]0.844876[/C][C]0.422438[/C][/ROW]
[ROW][C]135[/C][C]0.554644[/C][C]0.890713[/C][C]0.445356[/C][/ROW]
[ROW][C]136[/C][C]0.533183[/C][C]0.933633[/C][C]0.466817[/C][/ROW]
[ROW][C]137[/C][C]0.571526[/C][C]0.856949[/C][C]0.428474[/C][/ROW]
[ROW][C]138[/C][C]0.613384[/C][C]0.773233[/C][C]0.386616[/C][/ROW]
[ROW][C]139[/C][C]0.696311[/C][C]0.607378[/C][C]0.303689[/C][/ROW]
[ROW][C]140[/C][C]0.689809[/C][C]0.620382[/C][C]0.310191[/C][/ROW]
[ROW][C]141[/C][C]0.662568[/C][C]0.674863[/C][C]0.337432[/C][/ROW]
[ROW][C]142[/C][C]0.714825[/C][C]0.57035[/C][C]0.285175[/C][/ROW]
[ROW][C]143[/C][C]0.709953[/C][C]0.580095[/C][C]0.290047[/C][/ROW]
[ROW][C]144[/C][C]0.76189[/C][C]0.476219[/C][C]0.23811[/C][/ROW]
[ROW][C]145[/C][C]0.768078[/C][C]0.463845[/C][C]0.231922[/C][/ROW]
[ROW][C]146[/C][C]0.784625[/C][C]0.430751[/C][C]0.215375[/C][/ROW]
[ROW][C]147[/C][C]0.766595[/C][C]0.46681[/C][C]0.233405[/C][/ROW]
[ROW][C]148[/C][C]0.746344[/C][C]0.507312[/C][C]0.253656[/C][/ROW]
[ROW][C]149[/C][C]0.726681[/C][C]0.546638[/C][C]0.273319[/C][/ROW]
[ROW][C]150[/C][C]0.766839[/C][C]0.466322[/C][C]0.233161[/C][/ROW]
[ROW][C]151[/C][C]0.765244[/C][C]0.469511[/C][C]0.234756[/C][/ROW]
[ROW][C]152[/C][C]0.75665[/C][C]0.486699[/C][C]0.24335[/C][/ROW]
[ROW][C]153[/C][C]0.78747[/C][C]0.42506[/C][C]0.21253[/C][/ROW]
[ROW][C]154[/C][C]0.794029[/C][C]0.411943[/C][C]0.205971[/C][/ROW]
[ROW][C]155[/C][C]0.773927[/C][C]0.452146[/C][C]0.226073[/C][/ROW]
[ROW][C]156[/C][C]0.75128[/C][C]0.49744[/C][C]0.24872[/C][/ROW]
[ROW][C]157[/C][C]0.790031[/C][C]0.419938[/C][C]0.209969[/C][/ROW]
[ROW][C]158[/C][C]0.783815[/C][C]0.432369[/C][C]0.216185[/C][/ROW]
[ROW][C]159[/C][C]0.760988[/C][C]0.478024[/C][C]0.239012[/C][/ROW]
[ROW][C]160[/C][C]0.744383[/C][C]0.511233[/C][C]0.255617[/C][/ROW]
[ROW][C]161[/C][C]0.786254[/C][C]0.427491[/C][C]0.213746[/C][/ROW]
[ROW][C]162[/C][C]0.779163[/C][C]0.441674[/C][C]0.220837[/C][/ROW]
[ROW][C]163[/C][C]0.781501[/C][C]0.436999[/C][C]0.218499[/C][/ROW]
[ROW][C]164[/C][C]0.766953[/C][C]0.466094[/C][C]0.233047[/C][/ROW]
[ROW][C]165[/C][C]0.819608[/C][C]0.360784[/C][C]0.180392[/C][/ROW]
[ROW][C]166[/C][C]0.805411[/C][C]0.389179[/C][C]0.194589[/C][/ROW]
[ROW][C]167[/C][C]0.850487[/C][C]0.299025[/C][C]0.149513[/C][/ROW]
[ROW][C]168[/C][C]0.8367[/C][C]0.326601[/C][C]0.1633[/C][/ROW]
[ROW][C]169[/C][C]0.817036[/C][C]0.365928[/C][C]0.182964[/C][/ROW]
[ROW][C]170[/C][C]0.803969[/C][C]0.392063[/C][C]0.196031[/C][/ROW]
[ROW][C]171[/C][C]0.795741[/C][C]0.408518[/C][C]0.204259[/C][/ROW]
[ROW][C]172[/C][C]0.823161[/C][C]0.353679[/C][C]0.176839[/C][/ROW]
[ROW][C]173[/C][C]0.804848[/C][C]0.390304[/C][C]0.195152[/C][/ROW]
[ROW][C]174[/C][C]0.785925[/C][C]0.42815[/C][C]0.214075[/C][/ROW]
[ROW][C]175[/C][C]0.766957[/C][C]0.466086[/C][C]0.233043[/C][/ROW]
[ROW][C]176[/C][C]0.795292[/C][C]0.409416[/C][C]0.204708[/C][/ROW]
[ROW][C]177[/C][C]0.770124[/C][C]0.459752[/C][C]0.229876[/C][/ROW]
[ROW][C]178[/C][C]0.829391[/C][C]0.341218[/C][C]0.170609[/C][/ROW]
[ROW][C]179[/C][C]0.813642[/C][C]0.372716[/C][C]0.186358[/C][/ROW]
[ROW][C]180[/C][C]0.856834[/C][C]0.286333[/C][C]0.143166[/C][/ROW]
[ROW][C]181[/C][C]0.836143[/C][C]0.327714[/C][C]0.163857[/C][/ROW]
[ROW][C]182[/C][C]0.813023[/C][C]0.373954[/C][C]0.186977[/C][/ROW]
[ROW][C]183[/C][C]0.860389[/C][C]0.279223[/C][C]0.139611[/C][/ROW]
[ROW][C]184[/C][C]0.84757[/C][C]0.304861[/C][C]0.15243[/C][/ROW]
[ROW][C]185[/C][C]0.826231[/C][C]0.347537[/C][C]0.173769[/C][/ROW]
[ROW][C]186[/C][C]0.815869[/C][C]0.368262[/C][C]0.184131[/C][/ROW]
[ROW][C]187[/C][C]0.82404[/C][C]0.35192[/C][C]0.17596[/C][/ROW]
[ROW][C]188[/C][C]0.800929[/C][C]0.398142[/C][C]0.199071[/C][/ROW]
[ROW][C]189[/C][C]0.781767[/C][C]0.436466[/C][C]0.218233[/C][/ROW]
[ROW][C]190[/C][C]0.756621[/C][C]0.486758[/C][C]0.243379[/C][/ROW]
[ROW][C]191[/C][C]0.7578[/C][C]0.484399[/C][C]0.2422[/C][/ROW]
[ROW][C]192[/C][C]0.741362[/C][C]0.517275[/C][C]0.258638[/C][/ROW]
[ROW][C]193[/C][C]0.771508[/C][C]0.456985[/C][C]0.228492[/C][/ROW]
[ROW][C]194[/C][C]0.794417[/C][C]0.411167[/C][C]0.205583[/C][/ROW]
[ROW][C]195[/C][C]0.767077[/C][C]0.465847[/C][C]0.232923[/C][/ROW]
[ROW][C]196[/C][C]0.738127[/C][C]0.523746[/C][C]0.261873[/C][/ROW]
[ROW][C]197[/C][C]0.714296[/C][C]0.571407[/C][C]0.285704[/C][/ROW]
[ROW][C]198[/C][C]0.682434[/C][C]0.635133[/C][C]0.317566[/C][/ROW]
[ROW][C]199[/C][C]0.653189[/C][C]0.693622[/C][C]0.346811[/C][/ROW]
[ROW][C]200[/C][C]0.634172[/C][C]0.731655[/C][C]0.365828[/C][/ROW]
[ROW][C]201[/C][C]0.700817[/C][C]0.598366[/C][C]0.299183[/C][/ROW]
[ROW][C]202[/C][C]0.666669[/C][C]0.666662[/C][C]0.333331[/C][/ROW]
[ROW][C]203[/C][C]0.63206[/C][C]0.735879[/C][C]0.36794[/C][/ROW]
[ROW][C]204[/C][C]0.610271[/C][C]0.779457[/C][C]0.389729[/C][/ROW]
[ROW][C]205[/C][C]0.579789[/C][C]0.840421[/C][C]0.420211[/C][/ROW]
[ROW][C]206[/C][C]0.546183[/C][C]0.907635[/C][C]0.453817[/C][/ROW]
[ROW][C]207[/C][C]0.565391[/C][C]0.869218[/C][C]0.434609[/C][/ROW]
[ROW][C]208[/C][C]0.527882[/C][C]0.944236[/C][C]0.472118[/C][/ROW]
[ROW][C]209[/C][C]0.598404[/C][C]0.803191[/C][C]0.401596[/C][/ROW]
[ROW][C]210[/C][C]0.597482[/C][C]0.805036[/C][C]0.402518[/C][/ROW]
[ROW][C]211[/C][C]0.580641[/C][C]0.838719[/C][C]0.419359[/C][/ROW]
[ROW][C]212[/C][C]0.551422[/C][C]0.897156[/C][C]0.448578[/C][/ROW]
[ROW][C]213[/C][C]0.525301[/C][C]0.949398[/C][C]0.474699[/C][/ROW]
[ROW][C]214[/C][C]0.488575[/C][C]0.97715[/C][C]0.511425[/C][/ROW]
[ROW][C]215[/C][C]0.476011[/C][C]0.952021[/C][C]0.523989[/C][/ROW]
[ROW][C]216[/C][C]0.440088[/C][C]0.880177[/C][C]0.559912[/C][/ROW]
[ROW][C]217[/C][C]0.418345[/C][C]0.83669[/C][C]0.581655[/C][/ROW]
[ROW][C]218[/C][C]0.447322[/C][C]0.894645[/C][C]0.552678[/C][/ROW]
[ROW][C]219[/C][C]0.424849[/C][C]0.849697[/C][C]0.575151[/C][/ROW]
[ROW][C]220[/C][C]0.396154[/C][C]0.792307[/C][C]0.603846[/C][/ROW]
[ROW][C]221[/C][C]0.422551[/C][C]0.845103[/C][C]0.577449[/C][/ROW]
[ROW][C]222[/C][C]0.497935[/C][C]0.99587[/C][C]0.502065[/C][/ROW]
[ROW][C]223[/C][C]0.463331[/C][C]0.926662[/C][C]0.536669[/C][/ROW]
[ROW][C]224[/C][C]0.441926[/C][C]0.883852[/C][C]0.558074[/C][/ROW]
[ROW][C]225[/C][C]0.534903[/C][C]0.930194[/C][C]0.465097[/C][/ROW]
[ROW][C]226[/C][C]0.508035[/C][C]0.98393[/C][C]0.491965[/C][/ROW]
[ROW][C]227[/C][C]0.502019[/C][C]0.995961[/C][C]0.497981[/C][/ROW]
[ROW][C]228[/C][C]0.471785[/C][C]0.943569[/C][C]0.528215[/C][/ROW]
[ROW][C]229[/C][C]0.521265[/C][C]0.95747[/C][C]0.478735[/C][/ROW]
[ROW][C]230[/C][C]0.610303[/C][C]0.779395[/C][C]0.389697[/C][/ROW]
[ROW][C]231[/C][C]0.659844[/C][C]0.680311[/C][C]0.340156[/C][/ROW]
[ROW][C]232[/C][C]0.745668[/C][C]0.508665[/C][C]0.254332[/C][/ROW]
[ROW][C]233[/C][C]0.705509[/C][C]0.588982[/C][C]0.294491[/C][/ROW]
[ROW][C]234[/C][C]0.661825[/C][C]0.67635[/C][C]0.338175[/C][/ROW]
[ROW][C]235[/C][C]0.672493[/C][C]0.655014[/C][C]0.327507[/C][/ROW]
[ROW][C]236[/C][C]0.90871[/C][C]0.18258[/C][C]0.09129[/C][/ROW]
[ROW][C]237[/C][C]0.89022[/C][C]0.219561[/C][C]0.10978[/C][/ROW]
[ROW][C]238[/C][C]0.863912[/C][C]0.272175[/C][C]0.136088[/C][/ROW]
[ROW][C]239[/C][C]0.856962[/C][C]0.286077[/C][C]0.143038[/C][/ROW]
[ROW][C]240[/C][C]0.832739[/C][C]0.334521[/C][C]0.167261[/C][/ROW]
[ROW][C]241[/C][C]0.80142[/C][C]0.397161[/C][C]0.19858[/C][/ROW]
[ROW][C]242[/C][C]0.763887[/C][C]0.472225[/C][C]0.236113[/C][/ROW]
[ROW][C]243[/C][C]0.722398[/C][C]0.555204[/C][C]0.277602[/C][/ROW]
[ROW][C]244[/C][C]0.86859[/C][C]0.26282[/C][C]0.13141[/C][/ROW]
[ROW][C]245[/C][C]0.856135[/C][C]0.287729[/C][C]0.143865[/C][/ROW]
[ROW][C]246[/C][C]0.826485[/C][C]0.347029[/C][C]0.173515[/C][/ROW]
[ROW][C]247[/C][C]0.836529[/C][C]0.326941[/C][C]0.163471[/C][/ROW]
[ROW][C]248[/C][C]0.809079[/C][C]0.381843[/C][C]0.190921[/C][/ROW]
[ROW][C]249[/C][C]0.78758[/C][C]0.42484[/C][C]0.21242[/C][/ROW]
[ROW][C]250[/C][C]0.740416[/C][C]0.519169[/C][C]0.259584[/C][/ROW]
[ROW][C]251[/C][C]0.698209[/C][C]0.603581[/C][C]0.301791[/C][/ROW]
[ROW][C]252[/C][C]0.65203[/C][C]0.695939[/C][C]0.34797[/C][/ROW]
[ROW][C]253[/C][C]0.603491[/C][C]0.793019[/C][C]0.396509[/C][/ROW]
[ROW][C]254[/C][C]0.746648[/C][C]0.506705[/C][C]0.253352[/C][/ROW]
[ROW][C]255[/C][C]0.812092[/C][C]0.375816[/C][C]0.187908[/C][/ROW]
[ROW][C]256[/C][C]0.782394[/C][C]0.435211[/C][C]0.217606[/C][/ROW]
[ROW][C]257[/C][C]0.880838[/C][C]0.238324[/C][C]0.119162[/C][/ROW]
[ROW][C]258[/C][C]0.967204[/C][C]0.0655917[/C][C]0.0327958[/C][/ROW]
[ROW][C]259[/C][C]0.948872[/C][C]0.102256[/C][C]0.0511279[/C][/ROW]
[ROW][C]260[/C][C]0.990578[/C][C]0.0188434[/C][C]0.00942169[/C][/ROW]
[ROW][C]261[/C][C]0.985494[/C][C]0.0290124[/C][C]0.0145062[/C][/ROW]
[ROW][C]262[/C][C]0.980198[/C][C]0.0396038[/C][C]0.0198019[/C][/ROW]
[ROW][C]263[/C][C]0.965042[/C][C]0.0699161[/C][C]0.0349581[/C][/ROW]
[ROW][C]264[/C][C]0.946633[/C][C]0.106734[/C][C]0.0533669[/C][/ROW]
[ROW][C]265[/C][C]0.934466[/C][C]0.131068[/C][C]0.0655338[/C][/ROW]
[ROW][C]266[/C][C]0.894937[/C][C]0.210127[/C][C]0.105063[/C][/ROW]
[ROW][C]267[/C][C]0.830932[/C][C]0.338135[/C][C]0.169068[/C][/ROW]
[ROW][C]268[/C][C]0.744629[/C][C]0.510741[/C][C]0.255371[/C][/ROW]
[ROW][C]269[/C][C]0.627274[/C][C]0.745453[/C][C]0.372726[/C][/ROW]
[ROW][C]270[/C][C]0.869896[/C][C]0.260209[/C][C]0.130104[/C][/ROW]
[ROW][C]271[/C][C]0.757714[/C][C]0.484571[/C][C]0.242286[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268260&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268260&T=5

As an alternative you can also use a QR Code:  
QR Code


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.4704770.9409550.529523
80.3050080.6100160.694992
90.2260110.4520210.773989
100.1922680.3845360.807732
110.1199910.2399820.880009
120.1181240.2362490.881876
130.1172910.2345830.882709
140.08430270.1686050.915697
150.1023730.2047460.897627
160.07236540.1447310.927635
170.04622750.0924550.953773
180.03036960.06073920.96963
190.01928960.03857930.98071
200.01140450.02280890.988596
210.0132010.0264020.986799
220.01424440.02848890.985756
230.008746740.01749350.991253
240.01321230.02642460.986788
250.008142530.01628510.991857
260.004945940.009891890.995054
270.01291480.02582970.987085
280.008222020.0164440.991778
290.005420530.01084110.994579
300.003336280.006672560.996664
310.01336440.02672880.986636
320.01014420.02028840.989856
330.009209780.01841960.99079
340.00699540.01399080.993005
350.004923170.009846340.995077
360.003276630.006553270.996723
370.002134930.004269860.997865
380.001394990.002789990.998605
390.00105180.00210360.998948
400.0006870250.001374050.999313
410.001681060.003362120.998319
420.001267110.002534220.998733
430.001227320.002454650.998773
440.0008094460.001618890.999191
450.0005064130.001012830.999494
460.0004032030.0008064070.999597
470.0002601430.0005202860.99974
480.0002420720.0004841440.999758
490.0002398040.0004796080.99976
500.0001920680.0003841360.999808
510.0001272410.0002544830.999873
520.0004232640.0008465290.999577
530.0002864380.0005728760.999714
540.0002334470.0004668950.999767
550.0002940370.0005880740.999706
560.0002011550.000402310.999799
570.001130260.002260510.99887
580.0008941770.001788350.999106
590.0009233780.001846760.999077
600.0009440510.00188810.999056
610.0007534560.001506910.999247
620.0005964480.00119290.999404
630.001626310.003252630.998374
640.003150210.006300420.99685
650.002958620.005917240.997041
660.002764220.005528430.997236
670.002031030.004062070.997969
680.001816130.003632260.998184
690.00208030.00416060.99792
700.00157180.00314360.998428
710.001179610.002359220.99882
720.0008721670.001744330.999128
730.0008864380.001772880.999114
740.001118880.002237750.998881
750.0008599720.001719940.99914
760.0006770660.001354130.999323
770.000509980.001019960.99949
780.0004493840.0008987690.999551
790.0003594150.000718830.999641
800.0004710070.0009420140.999529
810.0003579740.0007159480.999642
820.0003174620.0006349240.999683
830.000229920.000459840.99977
840.001434670.002869340.998565
850.001166340.002332680.998834
860.0008927810.001785560.999107
870.0006885720.001377140.999311
880.0005162630.001032530.999484
890.0005475140.001095030.999452
900.000471020.000942040.999529
910.0003677820.0007355640.999632
920.001163530.002327050.998836
930.00100820.002016390.998992
940.0009609430.001921890.999039
950.001419550.00283910.99858
960.001444820.002889640.998555
970.002233110.004466220.997767
980.00178550.003571010.998214
990.001609930.003219860.99839
1000.002112570.004225140.997887
1010.001758140.003516280.998242
1020.001499480.002998960.998501
1030.001799390.003598780.998201
1040.00170930.00341860.998291
1050.001748440.003496870.998252
1060.002102420.004204830.997898
1070.001965690.003931390.998034
1080.007820640.01564130.992179
1090.01679320.03358640.983207
1100.01759160.03518310.982408
1110.01561620.03123250.984384
1120.01418190.02836370.985818
1130.06849010.136980.93151
1140.06208410.1241680.937916
1150.1236760.2473510.876324
1160.2005910.4011810.799409
1170.2425260.4850520.757474
1180.2247690.4495380.775231
1190.2749890.5499770.725011
1200.4160470.8320940.583953
1210.4496570.8993140.550343
1220.430110.8602210.56989
1230.5084810.9830380.491519
1240.510080.979840.48992
1250.5069950.986010.493005
1260.4842690.9685370.515731
1270.5100190.9799620.489981
1280.4894780.9789550.510522
1290.6111340.7777310.388866
1300.5927990.8144010.407201
1310.5779050.8441910.422095
1320.5959750.8080510.404025
1330.5883730.8232550.411627
1340.5775620.8448760.422438
1350.5546440.8907130.445356
1360.5331830.9336330.466817
1370.5715260.8569490.428474
1380.6133840.7732330.386616
1390.6963110.6073780.303689
1400.6898090.6203820.310191
1410.6625680.6748630.337432
1420.7148250.570350.285175
1430.7099530.5800950.290047
1440.761890.4762190.23811
1450.7680780.4638450.231922
1460.7846250.4307510.215375
1470.7665950.466810.233405
1480.7463440.5073120.253656
1490.7266810.5466380.273319
1500.7668390.4663220.233161
1510.7652440.4695110.234756
1520.756650.4866990.24335
1530.787470.425060.21253
1540.7940290.4119430.205971
1550.7739270.4521460.226073
1560.751280.497440.24872
1570.7900310.4199380.209969
1580.7838150.4323690.216185
1590.7609880.4780240.239012
1600.7443830.5112330.255617
1610.7862540.4274910.213746
1620.7791630.4416740.220837
1630.7815010.4369990.218499
1640.7669530.4660940.233047
1650.8196080.3607840.180392
1660.8054110.3891790.194589
1670.8504870.2990250.149513
1680.83670.3266010.1633
1690.8170360.3659280.182964
1700.8039690.3920630.196031
1710.7957410.4085180.204259
1720.8231610.3536790.176839
1730.8048480.3903040.195152
1740.7859250.428150.214075
1750.7669570.4660860.233043
1760.7952920.4094160.204708
1770.7701240.4597520.229876
1780.8293910.3412180.170609
1790.8136420.3727160.186358
1800.8568340.2863330.143166
1810.8361430.3277140.163857
1820.8130230.3739540.186977
1830.8603890.2792230.139611
1840.847570.3048610.15243
1850.8262310.3475370.173769
1860.8158690.3682620.184131
1870.824040.351920.17596
1880.8009290.3981420.199071
1890.7817670.4364660.218233
1900.7566210.4867580.243379
1910.75780.4843990.2422
1920.7413620.5172750.258638
1930.7715080.4569850.228492
1940.7944170.4111670.205583
1950.7670770.4658470.232923
1960.7381270.5237460.261873
1970.7142960.5714070.285704
1980.6824340.6351330.317566
1990.6531890.6936220.346811
2000.6341720.7316550.365828
2010.7008170.5983660.299183
2020.6666690.6666620.333331
2030.632060.7358790.36794
2040.6102710.7794570.389729
2050.5797890.8404210.420211
2060.5461830.9076350.453817
2070.5653910.8692180.434609
2080.5278820.9442360.472118
2090.5984040.8031910.401596
2100.5974820.8050360.402518
2110.5806410.8387190.419359
2120.5514220.8971560.448578
2130.5253010.9493980.474699
2140.4885750.977150.511425
2150.4760110.9520210.523989
2160.4400880.8801770.559912
2170.4183450.836690.581655
2180.4473220.8946450.552678
2190.4248490.8496970.575151
2200.3961540.7923070.603846
2210.4225510.8451030.577449
2220.4979350.995870.502065
2230.4633310.9266620.536669
2240.4419260.8838520.558074
2250.5349030.9301940.465097
2260.5080350.983930.491965
2270.5020190.9959610.497981
2280.4717850.9435690.528215
2290.5212650.957470.478735
2300.6103030.7793950.389697
2310.6598440.6803110.340156
2320.7456680.5086650.254332
2330.7055090.5889820.294491
2340.6618250.676350.338175
2350.6724930.6550140.327507
2360.908710.182580.09129
2370.890220.2195610.10978
2380.8639120.2721750.136088
2390.8569620.2860770.143038
2400.8327390.3345210.167261
2410.801420.3971610.19858
2420.7638870.4722250.236113
2430.7223980.5552040.277602
2440.868590.262820.13141
2450.8561350.2877290.143865
2460.8264850.3470290.173515
2470.8365290.3269410.163471
2480.8090790.3818430.190921
2490.787580.424840.21242
2500.7404160.5191690.259584
2510.6982090.6035810.301791
2520.652030.6959390.34797
2530.6034910.7930190.396509
2540.7466480.5067050.253352
2550.8120920.3758160.187908
2560.7823940.4352110.217606
2570.8808380.2383240.119162
2580.9672040.06559170.0327958
2590.9488720.1022560.0511279
2600.9905780.01884340.00942169
2610.9854940.02901240.0145062
2620.9801980.03960380.0198019
2630.9650420.06991610.0349581
2640.9466330.1067340.0533669
2650.9344660.1310680.0655338
2660.8949370.2101270.105063
2670.8309320.3381350.169068
2680.7446290.5107410.255371
2690.6272740.7454530.372726
2700.8698960.2602090.130104
2710.7577140.4845710.242286






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level750.283019NOK
5% type I error level970.366038NOK
10% type I error level1010.381132NOK

\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 & 75 & 0.283019 & NOK \tabularnewline
5% type I error level & 97 & 0.366038 & NOK \tabularnewline
10% type I error level & 101 & 0.381132 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268260&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]75[/C][C]0.283019[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]97[/C][C]0.366038[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]101[/C][C]0.381132[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268260&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268260&T=6

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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 level750.283019NOK
5% type I error level970.366038NOK
10% type I error level1010.381132NOK


Figures (Output of Computation)

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Input Parameters & R Code

Parameters (Session):
par1 = 4 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 4 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
R code (references can be found in the software module):
par3 <- 'No Linear Trend'
par2 <- 'Do not include Seasonal Dummies'
par1 <- '1'
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$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, signif(mysum$coefficients[i,1],6), 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,signif(mysum$coefficients[i,1],6))
a<-table.element(a, signif(mysum$coefficients[i,2],6))
a<-table.element(a, signif(mysum$coefficients[i,3],4))
a<-table.element(a, signif(mysum$coefficients[i,4],6))
a<-table.element(a, signif(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, signif(sqrt(mysum$r.squared),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, signif(mysum$r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, signif(mysum$adj.r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[1],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[2],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[3],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, signif(1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]),6))
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, signif(mysum$sigma,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, signif(sum(myerror*myerror),6))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,signif(x[i],6))
a<-table.element(a,signif(x[i]-mysum$resid[i],6))
a<-table.element(a,signif(mysum$resid[i],6))
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,signif(gqarr[mypoint-kp3+1,1],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,2],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,3],6))
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,signif(numsignificant1,6))
a<-table.element(a,signif(numsignificant1/numgqtests,6))
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,signif(numsignificant5,6))
a<-table.element(a,signif(numsignificant5/numgqtests,6))
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,signif(numsignificant10,6))
a<-table.element(a,signif(numsignificant10/numgqtests,6))
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')
}