FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 10 Nov 2014 13:43:05 +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/Nov/10/t1415627167ku0xc78zthaoqx3.htm/, Retrieved Sun, 19 May 2024 04:36:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=253328, Retrieved Sun, 19 May 2024 04:36:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact142

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [workshop 7] [2014-11-10 13:43:05] [624214a256768d6065ce8a528542dcc5] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
13 41 53
16 39 83
19 30 66
15 31 67
14 34 76
13 35 78
19 39 53
15 34 80
14 36 74
15 37 76
16 38 79
16 36 54
16 38 67
16 39 54
17 33 87
15 32 58
15 36 75
20 38 88
18 39 64
16 32 57
16 32 66
16 31 68
19 39 54
16 37 56
17 39 86
17 41 80
16 36 76
15 33 69
16 33 78
14 34 67
15 31 80
12 27 54
14 37 71
16 34 84
14 34 74
10 32 71
10 29 63
14 36 71
16 29 76
16 35 69
16 37 74
14 34 75
20 38 54
14 35 52
14 38 69
11 37 68
14 38 65
15 33 75
16 36 74
14 38 75
16 32 72
14 32 67
12 32 63
16 34 62
9 32 63
14 37 76
16 39 74
16 29 67
15 37 73
16 35 70
12 30 53
16 38 77
16 34 80
14 31 52
16 34 54
17 35 80
18 36 66
18 30 73
12 39 63
16 35 69
10 38 67
14 31 54
18 34 81
18 38 69
16 34 84
17 39 80
16 37 70
16 34 69
13 28 77
16 37 54
16 33 79
16 35 71
15 37 73
15 32 72
16 33 77
14 38 75
16 33 69
16 29 54
15 33 70
12 31 73
17 36 54
16 35 77
15 32 82
13 29 80
16 39 80
16 37 69
16 35 78
16 37 81
14 32 76
16 38 76
16 37 73
20 36 85
15 32 66
16 33 79
13 40 68
17 38 76
16 41 71
16 36 54
12 43 46
16 30 85
16 31 74
17 32 88
13 32 38
12 37 76
18 37 86
14 33 54
14 34 67
13 33 69
16 38 90
13 33 54
16 31 76
13 38 89
16 37 76
15 36 73
16 31 79
15 39 90
17 44 74
15 33 81
12 35 72
16 32 71
10 28 66
16 40 77
12 27 65
14 37 74
15 32 85
13 28 54
15 34 63
11 30 54
12 35 64
11 31 69
16 32 54
15 30 84
17 30 86
16 31 77
10 40 89
18 32 76
13 36 60
16 32 75
13 35 73
10 38 85
15 42 79
16 34 71
16 35 72
14 38 69
10 33 78
17 36 54
13 32 69
15 33 81
16 34 84
12 32 84
13 34 69
13 27 66
12 31 81
17 38 82
15 34 72
10 24 54
14 30 78
11 26 74
13 34 82
16 27 73
12 37 55
16 36 72
12 41 78
9 29 59
12 36 72
15 32 78
12 37 68
12 30 69
14 31 67
12 38 74
16 36 54
11 35 67
19 31 70
15 38 80
8 22 89
16 32 76
17 36 74
12 39 87
11 28 54
11 32 61
14 32 38
16 38 75
12 32 69
16 35 62
13 32 72
15 37 70
16 34 79
16 33 87
14 33 62
16 26 77
16 30 69
14 24 69
11 34 75
12 34 54
15 33 72
15 34 74
16 35 85
16 35 52
11 36 70
15 34 84
12 34 64
12 41 84
15 32 87
15 30 79
16 35 67
14 28 65
17 33 85
14 39 83
13 36 61
15 36 82
13 35 76
14 38 58
15 33 72
12 31 72
13 34 38
8 32 78
14 31 54
14 33 63
11 34 66
12 34 70
13 34 71
10 33 67
16 32 58
18 41 72
13 34 72
11 36 70
4 37 76
13 36 50
16 29 72
10 37 72
12 27 88
12 35 53
10 28 58
13 35 66
15 37 82
12 29 69
14 32 68
10 36 44
12 19 56
12 21 53
11 31 70
10 33 78
12 36 71
16 33 72
12 37 68
14 34 67
16 35 75
14 31 62
13 37 67
4 35 83
15 27 64
11 34 68
11 40 62
14 29 72

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253328&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253328&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253328&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'George Udny Yule' @ yule.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Learning[t] = + 8.20491 + 0.119503Connected[t] + 0.0284131Sport1[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Learning[t] =  +  8.20491 +  0.119503Connected[t] +  0.0284131Sport1[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253328&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Learning[t] =  +  8.20491 +  0.119503Connected[t] +  0.0284131Sport1[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253328&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253328&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
Learning[t] = + 8.20491 + 0.119503Connected[t] + 0.0284131Sport1[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)8.204911.57815.1994.04433e-072.02216e-07
Connected0.1195030.0392473.0450.002565760.00128288
Sport10.02841310.0143331.9820.04848830.0242441

\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) & 8.20491 & 1.5781 & 5.199 & 4.04433e-07 & 2.02216e-07 \tabularnewline
Connected & 0.119503 & 0.039247 & 3.045 & 0.00256576 & 0.00128288 \tabularnewline
Sport1 & 0.0284131 & 0.014333 & 1.982 & 0.0484883 & 0.0242441 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253328&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]8.20491[/C][C]1.5781[/C][C]5.199[/C][C]4.04433e-07[/C][C]2.02216e-07[/C][/ROW]
[ROW][C]Connected[/C][C]0.119503[/C][C]0.039247[/C][C]3.045[/C][C]0.00256576[/C][C]0.00128288[/C][/ROW]
[ROW][C]Sport1[/C][C]0.0284131[/C][C]0.014333[/C][C]1.982[/C][C]0.0484883[/C][C]0.0242441[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253328&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253328&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)8.204911.57815.1994.04433e-072.02216e-07
Connected0.1195030.0392473.0450.002565760.00128288
Sport10.02841310.0143331.9820.04848830.0242441






Multiple Linear Regression - Regression Statistics
Multiple R0.232584
R-squared0.0540953
Adjusted R-squared0.046847
F-TEST (value)7.46316
F-TEST (DF numerator)2
F-TEST (DF denominator)261
p-value0.000704831
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.39776
Sum Squared Residuals1500.55

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.232584 \tabularnewline
R-squared & 0.0540953 \tabularnewline
Adjusted R-squared & 0.046847 \tabularnewline
F-TEST (value) & 7.46316 \tabularnewline
F-TEST (DF numerator) & 2 \tabularnewline
F-TEST (DF denominator) & 261 \tabularnewline
p-value & 0.000704831 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.39776 \tabularnewline
Sum Squared Residuals & 1500.55 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253328&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.232584[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0540953[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.046847[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]7.46316[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]2[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]261[/C][/ROW]
[ROW][C]p-value[/C][C]0.000704831[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.39776[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1500.55[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253328&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253328&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 R0.232584
R-squared0.0540953
Adjusted R-squared0.046847
F-TEST (value)7.46316
F-TEST (DF numerator)2
F-TEST (DF denominator)261
p-value0.000704831
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.39776
Sum Squared Residuals1500.55






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11314.6104-1.61042
21615.22380.776193
31913.66535.33474
41513.81321.18683
51414.4274-0.427401
61314.6037-1.60373
71914.37144.62859
81514.54110.458946
91414.6096-0.60958
101514.78590.214091
111614.99071.00935
121614.04131.95868
131614.64971.35031
141614.39981.60017
151714.62042.37956
161513.6771.32304
171514.6380.362007
182015.24644.75363
191814.6843.31604
201613.64852.35145
211613.90432.09574
221613.84162.15841
231914.39984.60017
241614.21761.78235
251715.3091.69095
261715.37761.62243
271614.66641.33359
281514.1090.890994
291614.36471.63528
301414.1717-0.171683
311514.18250.817455
321212.9658-0.965793
331414.6438-0.643843
341614.65471.34529
351414.3706-0.370575
361014.0463-4.04633
371013.4605-3.46052
381414.5243-0.524341
391613.82992.17011
401614.3481.65199
411614.72911.27092
421414.399-0.398988
432014.28035.71968
441413.8650.135012
451414.7065-0.70652
461114.5586-3.5586
471414.5929-0.592867
481514.27950.720515
491614.60961.39042
501414.877-0.876999
511614.07471.92526
521413.93270.0673227
531213.819-1.81902
541614.02961.97038
55913.819-4.81902
561414.7859-0.785909
571614.96811.03191
581613.57422.42583
591514.70070.29933
601614.37641.62358
611213.2959-1.29589
621614.93381.06618
631614.54111.45895
641413.3870.613023
651613.80232.19769
661714.66062.33944
671814.38233.61773
681813.86424.13585
691214.6555-2.65554
701614.3481.65199
711014.6497-4.64969
721413.44380.556196
731814.56953.43053
741814.70653.29348
751614.65471.34529
761715.13861.86143
771614.61541.38457
781614.22851.77149
791313.7388-0.738798
801614.16081.83918
811614.39311.60686
821614.40481.59516
831514.70070.29933
841514.07470.925257
851614.33631.66369
861414.877-0.876999
871614.1091.89099
881613.20482.7952
891514.13740.862581
901213.9837-1.98365
911714.04132.95868
921614.57531.42468
931514.35890.641126
941313.9435-0.94354
951615.13860.861433
961614.5871.41298
971614.60371.39627
981614.9281.07203
991414.1884-0.188396
1001614.90541.09459
1011614.70071.29933
1022014.92215.07788
1031513.90431.09574
1041614.39311.60686
1051314.9171-1.91711
1061714.90542.09459
1071615.12190.878146
1081614.04131.95868
1091214.6505-2.65053
1101614.20511.79489
1111614.01211.98793
1121714.52942.47065
1131313.1087-0.108696
1141214.7859-2.78591
1151815.072.92996
1161413.68280.317191
1171414.1717-0.171683
1181314.109-1.10901
1191615.30320.696804
1201313.6828-0.682809
1211614.06891.93111
1221315.2748-2.27478
1231614.78591.21409
1241514.58120.418833
1251614.15411.84587
1261515.4227-0.422699
1271715.56561.4344
1281514.450.550036
1291214.4333-2.43325
1301614.04631.95367
1311013.4263-3.42625
1321615.17280.82717
1331213.2783-1.27834
1341414.7291-0.729083
1351514.44410.555886
1361313.0853-0.0852956
1371514.0580.94197
1381113.3243-2.3243
1391214.2059-2.20595
1401113.87-2.87
1411613.56332.43669
1421514.17670.823305
1431714.23352.76648
1441614.09731.90269
1451015.5138-5.51379
1461814.18843.8116
1471314.2118-1.2118
1481614.161.84002
1491314.4617-1.46166
1501015.1611-5.16113
1511515.4687-0.468662
1521614.28531.71466
1531614.43331.56675
1541414.7065-0.70652
1551014.3647-4.36472
1561714.04132.95868
1571313.9895-0.989504
1581514.450.550036
1591614.65471.34529
1601214.4157-2.4157
1611314.2285-1.22851
1621313.3068-0.306751
1631214.211-2.21096
1641715.07591.92411
1651514.31370.686252
1661012.6073-2.60728
1671414.0062-0.00621648
1681113.4146-2.41455
1691314.5979-1.59788
1701613.50562.49436
1711214.1892-2.18923
1721614.55281.44725
1731215.3207-3.32075
174913.3469-4.34686
1751214.5528-2.55275
1761514.24520.754778
1771214.5586-2.5586
1781213.7505-1.7505
1791413.81320.186825
1801214.8486-2.84859
1811614.04131.95868
1821114.2912-3.29119
1831913.89845.10159
1841515.0191-0.0190644
185813.3627-5.36274
1861614.18841.8116
1871714.60962.39042
1881215.3375-3.33746
1891113.0853-2.0853
1901113.7622-2.7622
1911413.10870.891304
1921614.8771.123
1931213.9895-1.9895
1941614.14911.85088
1951314.0747-1.07474
1961514.61540.38457
1971614.51261.48736
1981614.62041.37956
1991413.91010.0898857
2001613.49982.50021
2011613.75052.2495
2021413.03350.966518
2031114.399-3.39899
2041213.8023-1.80231
2051514.19420.805754
2061514.37060.629425
2071614.80261.19738
2081613.8652.13501
2091114.4959-3.49593
2101514.65470.345294
2111214.0864-2.08644
2121215.4912-3.49123
2131514.50090.49906
2141514.03460.96537
2151614.29121.70881
2161413.39780.60216
2171714.56362.43638
2181415.2238-1.22381
2191314.2402-1.24021
2201514.83690.163115
2211314.5469-1.5469
2221414.394-0.393975
2231514.19420.805754
2241213.9552-1.95524
2251313.3477-0.347701
226814.2452-6.24522
2271413.44380.556196
2281413.93850.0614726
2291114.1433-3.14327
2301214.2569-2.25692
2311314.2853-1.28534
2321014.0522-4.05218
2331613.6772.32304
2341815.15032.84973
2351314.3137-1.31375
2361114.4959-3.49593
237414.7859-10.7859
2381313.9277-0.927665
2391613.71622.28377
2401014.6723-4.67226
2411213.9318-1.93184
2421213.8934-1.8934
2431013.1989-3.19895
2441314.2628-1.26277
2451514.95640.043612
2461213.631-1.631
2471413.96110.0389096
2481013.7572-3.75719
2491212.0666-0.0665976
2501212.2204-0.220364
2511113.8984-2.89841
2521014.3647-4.36472
2531214.5243-2.52434
2541614.19421.80575
2551214.5586-2.5586
2561414.1717-0.171683
2571614.51851.48151
2581413.67110.328891
2591314.5302-1.53019
260414.7458-10.7458
2611513.24991.75008
2621114.2001-3.2001
2631114.7466-3.74663
2641413.71620.283765

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 13 & 14.6104 & -1.61042 \tabularnewline
2 & 16 & 15.2238 & 0.776193 \tabularnewline
3 & 19 & 13.6653 & 5.33474 \tabularnewline
4 & 15 & 13.8132 & 1.18683 \tabularnewline
5 & 14 & 14.4274 & -0.427401 \tabularnewline
6 & 13 & 14.6037 & -1.60373 \tabularnewline
7 & 19 & 14.3714 & 4.62859 \tabularnewline
8 & 15 & 14.5411 & 0.458946 \tabularnewline
9 & 14 & 14.6096 & -0.60958 \tabularnewline
10 & 15 & 14.7859 & 0.214091 \tabularnewline
11 & 16 & 14.9907 & 1.00935 \tabularnewline
12 & 16 & 14.0413 & 1.95868 \tabularnewline
13 & 16 & 14.6497 & 1.35031 \tabularnewline
14 & 16 & 14.3998 & 1.60017 \tabularnewline
15 & 17 & 14.6204 & 2.37956 \tabularnewline
16 & 15 & 13.677 & 1.32304 \tabularnewline
17 & 15 & 14.638 & 0.362007 \tabularnewline
18 & 20 & 15.2464 & 4.75363 \tabularnewline
19 & 18 & 14.684 & 3.31604 \tabularnewline
20 & 16 & 13.6485 & 2.35145 \tabularnewline
21 & 16 & 13.9043 & 2.09574 \tabularnewline
22 & 16 & 13.8416 & 2.15841 \tabularnewline
23 & 19 & 14.3998 & 4.60017 \tabularnewline
24 & 16 & 14.2176 & 1.78235 \tabularnewline
25 & 17 & 15.309 & 1.69095 \tabularnewline
26 & 17 & 15.3776 & 1.62243 \tabularnewline
27 & 16 & 14.6664 & 1.33359 \tabularnewline
28 & 15 & 14.109 & 0.890994 \tabularnewline
29 & 16 & 14.3647 & 1.63528 \tabularnewline
30 & 14 & 14.1717 & -0.171683 \tabularnewline
31 & 15 & 14.1825 & 0.817455 \tabularnewline
32 & 12 & 12.9658 & -0.965793 \tabularnewline
33 & 14 & 14.6438 & -0.643843 \tabularnewline
34 & 16 & 14.6547 & 1.34529 \tabularnewline
35 & 14 & 14.3706 & -0.370575 \tabularnewline
36 & 10 & 14.0463 & -4.04633 \tabularnewline
37 & 10 & 13.4605 & -3.46052 \tabularnewline
38 & 14 & 14.5243 & -0.524341 \tabularnewline
39 & 16 & 13.8299 & 2.17011 \tabularnewline
40 & 16 & 14.348 & 1.65199 \tabularnewline
41 & 16 & 14.7291 & 1.27092 \tabularnewline
42 & 14 & 14.399 & -0.398988 \tabularnewline
43 & 20 & 14.2803 & 5.71968 \tabularnewline
44 & 14 & 13.865 & 0.135012 \tabularnewline
45 & 14 & 14.7065 & -0.70652 \tabularnewline
46 & 11 & 14.5586 & -3.5586 \tabularnewline
47 & 14 & 14.5929 & -0.592867 \tabularnewline
48 & 15 & 14.2795 & 0.720515 \tabularnewline
49 & 16 & 14.6096 & 1.39042 \tabularnewline
50 & 14 & 14.877 & -0.876999 \tabularnewline
51 & 16 & 14.0747 & 1.92526 \tabularnewline
52 & 14 & 13.9327 & 0.0673227 \tabularnewline
53 & 12 & 13.819 & -1.81902 \tabularnewline
54 & 16 & 14.0296 & 1.97038 \tabularnewline
55 & 9 & 13.819 & -4.81902 \tabularnewline
56 & 14 & 14.7859 & -0.785909 \tabularnewline
57 & 16 & 14.9681 & 1.03191 \tabularnewline
58 & 16 & 13.5742 & 2.42583 \tabularnewline
59 & 15 & 14.7007 & 0.29933 \tabularnewline
60 & 16 & 14.3764 & 1.62358 \tabularnewline
61 & 12 & 13.2959 & -1.29589 \tabularnewline
62 & 16 & 14.9338 & 1.06618 \tabularnewline
63 & 16 & 14.5411 & 1.45895 \tabularnewline
64 & 14 & 13.387 & 0.613023 \tabularnewline
65 & 16 & 13.8023 & 2.19769 \tabularnewline
66 & 17 & 14.6606 & 2.33944 \tabularnewline
67 & 18 & 14.3823 & 3.61773 \tabularnewline
68 & 18 & 13.8642 & 4.13585 \tabularnewline
69 & 12 & 14.6555 & -2.65554 \tabularnewline
70 & 16 & 14.348 & 1.65199 \tabularnewline
71 & 10 & 14.6497 & -4.64969 \tabularnewline
72 & 14 & 13.4438 & 0.556196 \tabularnewline
73 & 18 & 14.5695 & 3.43053 \tabularnewline
74 & 18 & 14.7065 & 3.29348 \tabularnewline
75 & 16 & 14.6547 & 1.34529 \tabularnewline
76 & 17 & 15.1386 & 1.86143 \tabularnewline
77 & 16 & 14.6154 & 1.38457 \tabularnewline
78 & 16 & 14.2285 & 1.77149 \tabularnewline
79 & 13 & 13.7388 & -0.738798 \tabularnewline
80 & 16 & 14.1608 & 1.83918 \tabularnewline
81 & 16 & 14.3931 & 1.60686 \tabularnewline
82 & 16 & 14.4048 & 1.59516 \tabularnewline
83 & 15 & 14.7007 & 0.29933 \tabularnewline
84 & 15 & 14.0747 & 0.925257 \tabularnewline
85 & 16 & 14.3363 & 1.66369 \tabularnewline
86 & 14 & 14.877 & -0.876999 \tabularnewline
87 & 16 & 14.109 & 1.89099 \tabularnewline
88 & 16 & 13.2048 & 2.7952 \tabularnewline
89 & 15 & 14.1374 & 0.862581 \tabularnewline
90 & 12 & 13.9837 & -1.98365 \tabularnewline
91 & 17 & 14.0413 & 2.95868 \tabularnewline
92 & 16 & 14.5753 & 1.42468 \tabularnewline
93 & 15 & 14.3589 & 0.641126 \tabularnewline
94 & 13 & 13.9435 & -0.94354 \tabularnewline
95 & 16 & 15.1386 & 0.861433 \tabularnewline
96 & 16 & 14.587 & 1.41298 \tabularnewline
97 & 16 & 14.6037 & 1.39627 \tabularnewline
98 & 16 & 14.928 & 1.07203 \tabularnewline
99 & 14 & 14.1884 & -0.188396 \tabularnewline
100 & 16 & 14.9054 & 1.09459 \tabularnewline
101 & 16 & 14.7007 & 1.29933 \tabularnewline
102 & 20 & 14.9221 & 5.07788 \tabularnewline
103 & 15 & 13.9043 & 1.09574 \tabularnewline
104 & 16 & 14.3931 & 1.60686 \tabularnewline
105 & 13 & 14.9171 & -1.91711 \tabularnewline
106 & 17 & 14.9054 & 2.09459 \tabularnewline
107 & 16 & 15.1219 & 0.878146 \tabularnewline
108 & 16 & 14.0413 & 1.95868 \tabularnewline
109 & 12 & 14.6505 & -2.65053 \tabularnewline
110 & 16 & 14.2051 & 1.79489 \tabularnewline
111 & 16 & 14.0121 & 1.98793 \tabularnewline
112 & 17 & 14.5294 & 2.47065 \tabularnewline
113 & 13 & 13.1087 & -0.108696 \tabularnewline
114 & 12 & 14.7859 & -2.78591 \tabularnewline
115 & 18 & 15.07 & 2.92996 \tabularnewline
116 & 14 & 13.6828 & 0.317191 \tabularnewline
117 & 14 & 14.1717 & -0.171683 \tabularnewline
118 & 13 & 14.109 & -1.10901 \tabularnewline
119 & 16 & 15.3032 & 0.696804 \tabularnewline
120 & 13 & 13.6828 & -0.682809 \tabularnewline
121 & 16 & 14.0689 & 1.93111 \tabularnewline
122 & 13 & 15.2748 & -2.27478 \tabularnewline
123 & 16 & 14.7859 & 1.21409 \tabularnewline
124 & 15 & 14.5812 & 0.418833 \tabularnewline
125 & 16 & 14.1541 & 1.84587 \tabularnewline
126 & 15 & 15.4227 & -0.422699 \tabularnewline
127 & 17 & 15.5656 & 1.4344 \tabularnewline
128 & 15 & 14.45 & 0.550036 \tabularnewline
129 & 12 & 14.4333 & -2.43325 \tabularnewline
130 & 16 & 14.0463 & 1.95367 \tabularnewline
131 & 10 & 13.4263 & -3.42625 \tabularnewline
132 & 16 & 15.1728 & 0.82717 \tabularnewline
133 & 12 & 13.2783 & -1.27834 \tabularnewline
134 & 14 & 14.7291 & -0.729083 \tabularnewline
135 & 15 & 14.4441 & 0.555886 \tabularnewline
136 & 13 & 13.0853 & -0.0852956 \tabularnewline
137 & 15 & 14.058 & 0.94197 \tabularnewline
138 & 11 & 13.3243 & -2.3243 \tabularnewline
139 & 12 & 14.2059 & -2.20595 \tabularnewline
140 & 11 & 13.87 & -2.87 \tabularnewline
141 & 16 & 13.5633 & 2.43669 \tabularnewline
142 & 15 & 14.1767 & 0.823305 \tabularnewline
143 & 17 & 14.2335 & 2.76648 \tabularnewline
144 & 16 & 14.0973 & 1.90269 \tabularnewline
145 & 10 & 15.5138 & -5.51379 \tabularnewline
146 & 18 & 14.1884 & 3.8116 \tabularnewline
147 & 13 & 14.2118 & -1.2118 \tabularnewline
148 & 16 & 14.16 & 1.84002 \tabularnewline
149 & 13 & 14.4617 & -1.46166 \tabularnewline
150 & 10 & 15.1611 & -5.16113 \tabularnewline
151 & 15 & 15.4687 & -0.468662 \tabularnewline
152 & 16 & 14.2853 & 1.71466 \tabularnewline
153 & 16 & 14.4333 & 1.56675 \tabularnewline
154 & 14 & 14.7065 & -0.70652 \tabularnewline
155 & 10 & 14.3647 & -4.36472 \tabularnewline
156 & 17 & 14.0413 & 2.95868 \tabularnewline
157 & 13 & 13.9895 & -0.989504 \tabularnewline
158 & 15 & 14.45 & 0.550036 \tabularnewline
159 & 16 & 14.6547 & 1.34529 \tabularnewline
160 & 12 & 14.4157 & -2.4157 \tabularnewline
161 & 13 & 14.2285 & -1.22851 \tabularnewline
162 & 13 & 13.3068 & -0.306751 \tabularnewline
163 & 12 & 14.211 & -2.21096 \tabularnewline
164 & 17 & 15.0759 & 1.92411 \tabularnewline
165 & 15 & 14.3137 & 0.686252 \tabularnewline
166 & 10 & 12.6073 & -2.60728 \tabularnewline
167 & 14 & 14.0062 & -0.00621648 \tabularnewline
168 & 11 & 13.4146 & -2.41455 \tabularnewline
169 & 13 & 14.5979 & -1.59788 \tabularnewline
170 & 16 & 13.5056 & 2.49436 \tabularnewline
171 & 12 & 14.1892 & -2.18923 \tabularnewline
172 & 16 & 14.5528 & 1.44725 \tabularnewline
173 & 12 & 15.3207 & -3.32075 \tabularnewline
174 & 9 & 13.3469 & -4.34686 \tabularnewline
175 & 12 & 14.5528 & -2.55275 \tabularnewline
176 & 15 & 14.2452 & 0.754778 \tabularnewline
177 & 12 & 14.5586 & -2.5586 \tabularnewline
178 & 12 & 13.7505 & -1.7505 \tabularnewline
179 & 14 & 13.8132 & 0.186825 \tabularnewline
180 & 12 & 14.8486 & -2.84859 \tabularnewline
181 & 16 & 14.0413 & 1.95868 \tabularnewline
182 & 11 & 14.2912 & -3.29119 \tabularnewline
183 & 19 & 13.8984 & 5.10159 \tabularnewline
184 & 15 & 15.0191 & -0.0190644 \tabularnewline
185 & 8 & 13.3627 & -5.36274 \tabularnewline
186 & 16 & 14.1884 & 1.8116 \tabularnewline
187 & 17 & 14.6096 & 2.39042 \tabularnewline
188 & 12 & 15.3375 & -3.33746 \tabularnewline
189 & 11 & 13.0853 & -2.0853 \tabularnewline
190 & 11 & 13.7622 & -2.7622 \tabularnewline
191 & 14 & 13.1087 & 0.891304 \tabularnewline
192 & 16 & 14.877 & 1.123 \tabularnewline
193 & 12 & 13.9895 & -1.9895 \tabularnewline
194 & 16 & 14.1491 & 1.85088 \tabularnewline
195 & 13 & 14.0747 & -1.07474 \tabularnewline
196 & 15 & 14.6154 & 0.38457 \tabularnewline
197 & 16 & 14.5126 & 1.48736 \tabularnewline
198 & 16 & 14.6204 & 1.37956 \tabularnewline
199 & 14 & 13.9101 & 0.0898857 \tabularnewline
200 & 16 & 13.4998 & 2.50021 \tabularnewline
201 & 16 & 13.7505 & 2.2495 \tabularnewline
202 & 14 & 13.0335 & 0.966518 \tabularnewline
203 & 11 & 14.399 & -3.39899 \tabularnewline
204 & 12 & 13.8023 & -1.80231 \tabularnewline
205 & 15 & 14.1942 & 0.805754 \tabularnewline
206 & 15 & 14.3706 & 0.629425 \tabularnewline
207 & 16 & 14.8026 & 1.19738 \tabularnewline
208 & 16 & 13.865 & 2.13501 \tabularnewline
209 & 11 & 14.4959 & -3.49593 \tabularnewline
210 & 15 & 14.6547 & 0.345294 \tabularnewline
211 & 12 & 14.0864 & -2.08644 \tabularnewline
212 & 12 & 15.4912 & -3.49123 \tabularnewline
213 & 15 & 14.5009 & 0.49906 \tabularnewline
214 & 15 & 14.0346 & 0.96537 \tabularnewline
215 & 16 & 14.2912 & 1.70881 \tabularnewline
216 & 14 & 13.3978 & 0.60216 \tabularnewline
217 & 17 & 14.5636 & 2.43638 \tabularnewline
218 & 14 & 15.2238 & -1.22381 \tabularnewline
219 & 13 & 14.2402 & -1.24021 \tabularnewline
220 & 15 & 14.8369 & 0.163115 \tabularnewline
221 & 13 & 14.5469 & -1.5469 \tabularnewline
222 & 14 & 14.394 & -0.393975 \tabularnewline
223 & 15 & 14.1942 & 0.805754 \tabularnewline
224 & 12 & 13.9552 & -1.95524 \tabularnewline
225 & 13 & 13.3477 & -0.347701 \tabularnewline
226 & 8 & 14.2452 & -6.24522 \tabularnewline
227 & 14 & 13.4438 & 0.556196 \tabularnewline
228 & 14 & 13.9385 & 0.0614726 \tabularnewline
229 & 11 & 14.1433 & -3.14327 \tabularnewline
230 & 12 & 14.2569 & -2.25692 \tabularnewline
231 & 13 & 14.2853 & -1.28534 \tabularnewline
232 & 10 & 14.0522 & -4.05218 \tabularnewline
233 & 16 & 13.677 & 2.32304 \tabularnewline
234 & 18 & 15.1503 & 2.84973 \tabularnewline
235 & 13 & 14.3137 & -1.31375 \tabularnewline
236 & 11 & 14.4959 & -3.49593 \tabularnewline
237 & 4 & 14.7859 & -10.7859 \tabularnewline
238 & 13 & 13.9277 & -0.927665 \tabularnewline
239 & 16 & 13.7162 & 2.28377 \tabularnewline
240 & 10 & 14.6723 & -4.67226 \tabularnewline
241 & 12 & 13.9318 & -1.93184 \tabularnewline
242 & 12 & 13.8934 & -1.8934 \tabularnewline
243 & 10 & 13.1989 & -3.19895 \tabularnewline
244 & 13 & 14.2628 & -1.26277 \tabularnewline
245 & 15 & 14.9564 & 0.043612 \tabularnewline
246 & 12 & 13.631 & -1.631 \tabularnewline
247 & 14 & 13.9611 & 0.0389096 \tabularnewline
248 & 10 & 13.7572 & -3.75719 \tabularnewline
249 & 12 & 12.0666 & -0.0665976 \tabularnewline
250 & 12 & 12.2204 & -0.220364 \tabularnewline
251 & 11 & 13.8984 & -2.89841 \tabularnewline
252 & 10 & 14.3647 & -4.36472 \tabularnewline
253 & 12 & 14.5243 & -2.52434 \tabularnewline
254 & 16 & 14.1942 & 1.80575 \tabularnewline
255 & 12 & 14.5586 & -2.5586 \tabularnewline
256 & 14 & 14.1717 & -0.171683 \tabularnewline
257 & 16 & 14.5185 & 1.48151 \tabularnewline
258 & 14 & 13.6711 & 0.328891 \tabularnewline
259 & 13 & 14.5302 & -1.53019 \tabularnewline
260 & 4 & 14.7458 & -10.7458 \tabularnewline
261 & 15 & 13.2499 & 1.75008 \tabularnewline
262 & 11 & 14.2001 & -3.2001 \tabularnewline
263 & 11 & 14.7466 & -3.74663 \tabularnewline
264 & 14 & 13.7162 & 0.283765 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253328&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]13[/C][C]14.6104[/C][C]-1.61042[/C][/ROW]
[ROW][C]2[/C][C]16[/C][C]15.2238[/C][C]0.776193[/C][/ROW]
[ROW][C]3[/C][C]19[/C][C]13.6653[/C][C]5.33474[/C][/ROW]
[ROW][C]4[/C][C]15[/C][C]13.8132[/C][C]1.18683[/C][/ROW]
[ROW][C]5[/C][C]14[/C][C]14.4274[/C][C]-0.427401[/C][/ROW]
[ROW][C]6[/C][C]13[/C][C]14.6037[/C][C]-1.60373[/C][/ROW]
[ROW][C]7[/C][C]19[/C][C]14.3714[/C][C]4.62859[/C][/ROW]
[ROW][C]8[/C][C]15[/C][C]14.5411[/C][C]0.458946[/C][/ROW]
[ROW][C]9[/C][C]14[/C][C]14.6096[/C][C]-0.60958[/C][/ROW]
[ROW][C]10[/C][C]15[/C][C]14.7859[/C][C]0.214091[/C][/ROW]
[ROW][C]11[/C][C]16[/C][C]14.9907[/C][C]1.00935[/C][/ROW]
[ROW][C]12[/C][C]16[/C][C]14.0413[/C][C]1.95868[/C][/ROW]
[ROW][C]13[/C][C]16[/C][C]14.6497[/C][C]1.35031[/C][/ROW]
[ROW][C]14[/C][C]16[/C][C]14.3998[/C][C]1.60017[/C][/ROW]
[ROW][C]15[/C][C]17[/C][C]14.6204[/C][C]2.37956[/C][/ROW]
[ROW][C]16[/C][C]15[/C][C]13.677[/C][C]1.32304[/C][/ROW]
[ROW][C]17[/C][C]15[/C][C]14.638[/C][C]0.362007[/C][/ROW]
[ROW][C]18[/C][C]20[/C][C]15.2464[/C][C]4.75363[/C][/ROW]
[ROW][C]19[/C][C]18[/C][C]14.684[/C][C]3.31604[/C][/ROW]
[ROW][C]20[/C][C]16[/C][C]13.6485[/C][C]2.35145[/C][/ROW]
[ROW][C]21[/C][C]16[/C][C]13.9043[/C][C]2.09574[/C][/ROW]
[ROW][C]22[/C][C]16[/C][C]13.8416[/C][C]2.15841[/C][/ROW]
[ROW][C]23[/C][C]19[/C][C]14.3998[/C][C]4.60017[/C][/ROW]
[ROW][C]24[/C][C]16[/C][C]14.2176[/C][C]1.78235[/C][/ROW]
[ROW][C]25[/C][C]17[/C][C]15.309[/C][C]1.69095[/C][/ROW]
[ROW][C]26[/C][C]17[/C][C]15.3776[/C][C]1.62243[/C][/ROW]
[ROW][C]27[/C][C]16[/C][C]14.6664[/C][C]1.33359[/C][/ROW]
[ROW][C]28[/C][C]15[/C][C]14.109[/C][C]0.890994[/C][/ROW]
[ROW][C]29[/C][C]16[/C][C]14.3647[/C][C]1.63528[/C][/ROW]
[ROW][C]30[/C][C]14[/C][C]14.1717[/C][C]-0.171683[/C][/ROW]
[ROW][C]31[/C][C]15[/C][C]14.1825[/C][C]0.817455[/C][/ROW]
[ROW][C]32[/C][C]12[/C][C]12.9658[/C][C]-0.965793[/C][/ROW]
[ROW][C]33[/C][C]14[/C][C]14.6438[/C][C]-0.643843[/C][/ROW]
[ROW][C]34[/C][C]16[/C][C]14.6547[/C][C]1.34529[/C][/ROW]
[ROW][C]35[/C][C]14[/C][C]14.3706[/C][C]-0.370575[/C][/ROW]
[ROW][C]36[/C][C]10[/C][C]14.0463[/C][C]-4.04633[/C][/ROW]
[ROW][C]37[/C][C]10[/C][C]13.4605[/C][C]-3.46052[/C][/ROW]
[ROW][C]38[/C][C]14[/C][C]14.5243[/C][C]-0.524341[/C][/ROW]
[ROW][C]39[/C][C]16[/C][C]13.8299[/C][C]2.17011[/C][/ROW]
[ROW][C]40[/C][C]16[/C][C]14.348[/C][C]1.65199[/C][/ROW]
[ROW][C]41[/C][C]16[/C][C]14.7291[/C][C]1.27092[/C][/ROW]
[ROW][C]42[/C][C]14[/C][C]14.399[/C][C]-0.398988[/C][/ROW]
[ROW][C]43[/C][C]20[/C][C]14.2803[/C][C]5.71968[/C][/ROW]
[ROW][C]44[/C][C]14[/C][C]13.865[/C][C]0.135012[/C][/ROW]
[ROW][C]45[/C][C]14[/C][C]14.7065[/C][C]-0.70652[/C][/ROW]
[ROW][C]46[/C][C]11[/C][C]14.5586[/C][C]-3.5586[/C][/ROW]
[ROW][C]47[/C][C]14[/C][C]14.5929[/C][C]-0.592867[/C][/ROW]
[ROW][C]48[/C][C]15[/C][C]14.2795[/C][C]0.720515[/C][/ROW]
[ROW][C]49[/C][C]16[/C][C]14.6096[/C][C]1.39042[/C][/ROW]
[ROW][C]50[/C][C]14[/C][C]14.877[/C][C]-0.876999[/C][/ROW]
[ROW][C]51[/C][C]16[/C][C]14.0747[/C][C]1.92526[/C][/ROW]
[ROW][C]52[/C][C]14[/C][C]13.9327[/C][C]0.0673227[/C][/ROW]
[ROW][C]53[/C][C]12[/C][C]13.819[/C][C]-1.81902[/C][/ROW]
[ROW][C]54[/C][C]16[/C][C]14.0296[/C][C]1.97038[/C][/ROW]
[ROW][C]55[/C][C]9[/C][C]13.819[/C][C]-4.81902[/C][/ROW]
[ROW][C]56[/C][C]14[/C][C]14.7859[/C][C]-0.785909[/C][/ROW]
[ROW][C]57[/C][C]16[/C][C]14.9681[/C][C]1.03191[/C][/ROW]
[ROW][C]58[/C][C]16[/C][C]13.5742[/C][C]2.42583[/C][/ROW]
[ROW][C]59[/C][C]15[/C][C]14.7007[/C][C]0.29933[/C][/ROW]
[ROW][C]60[/C][C]16[/C][C]14.3764[/C][C]1.62358[/C][/ROW]
[ROW][C]61[/C][C]12[/C][C]13.2959[/C][C]-1.29589[/C][/ROW]
[ROW][C]62[/C][C]16[/C][C]14.9338[/C][C]1.06618[/C][/ROW]
[ROW][C]63[/C][C]16[/C][C]14.5411[/C][C]1.45895[/C][/ROW]
[ROW][C]64[/C][C]14[/C][C]13.387[/C][C]0.613023[/C][/ROW]
[ROW][C]65[/C][C]16[/C][C]13.8023[/C][C]2.19769[/C][/ROW]
[ROW][C]66[/C][C]17[/C][C]14.6606[/C][C]2.33944[/C][/ROW]
[ROW][C]67[/C][C]18[/C][C]14.3823[/C][C]3.61773[/C][/ROW]
[ROW][C]68[/C][C]18[/C][C]13.8642[/C][C]4.13585[/C][/ROW]
[ROW][C]69[/C][C]12[/C][C]14.6555[/C][C]-2.65554[/C][/ROW]
[ROW][C]70[/C][C]16[/C][C]14.348[/C][C]1.65199[/C][/ROW]
[ROW][C]71[/C][C]10[/C][C]14.6497[/C][C]-4.64969[/C][/ROW]
[ROW][C]72[/C][C]14[/C][C]13.4438[/C][C]0.556196[/C][/ROW]
[ROW][C]73[/C][C]18[/C][C]14.5695[/C][C]3.43053[/C][/ROW]
[ROW][C]74[/C][C]18[/C][C]14.7065[/C][C]3.29348[/C][/ROW]
[ROW][C]75[/C][C]16[/C][C]14.6547[/C][C]1.34529[/C][/ROW]
[ROW][C]76[/C][C]17[/C][C]15.1386[/C][C]1.86143[/C][/ROW]
[ROW][C]77[/C][C]16[/C][C]14.6154[/C][C]1.38457[/C][/ROW]
[ROW][C]78[/C][C]16[/C][C]14.2285[/C][C]1.77149[/C][/ROW]
[ROW][C]79[/C][C]13[/C][C]13.7388[/C][C]-0.738798[/C][/ROW]
[ROW][C]80[/C][C]16[/C][C]14.1608[/C][C]1.83918[/C][/ROW]
[ROW][C]81[/C][C]16[/C][C]14.3931[/C][C]1.60686[/C][/ROW]
[ROW][C]82[/C][C]16[/C][C]14.4048[/C][C]1.59516[/C][/ROW]
[ROW][C]83[/C][C]15[/C][C]14.7007[/C][C]0.29933[/C][/ROW]
[ROW][C]84[/C][C]15[/C][C]14.0747[/C][C]0.925257[/C][/ROW]
[ROW][C]85[/C][C]16[/C][C]14.3363[/C][C]1.66369[/C][/ROW]
[ROW][C]86[/C][C]14[/C][C]14.877[/C][C]-0.876999[/C][/ROW]
[ROW][C]87[/C][C]16[/C][C]14.109[/C][C]1.89099[/C][/ROW]
[ROW][C]88[/C][C]16[/C][C]13.2048[/C][C]2.7952[/C][/ROW]
[ROW][C]89[/C][C]15[/C][C]14.1374[/C][C]0.862581[/C][/ROW]
[ROW][C]90[/C][C]12[/C][C]13.9837[/C][C]-1.98365[/C][/ROW]
[ROW][C]91[/C][C]17[/C][C]14.0413[/C][C]2.95868[/C][/ROW]
[ROW][C]92[/C][C]16[/C][C]14.5753[/C][C]1.42468[/C][/ROW]
[ROW][C]93[/C][C]15[/C][C]14.3589[/C][C]0.641126[/C][/ROW]
[ROW][C]94[/C][C]13[/C][C]13.9435[/C][C]-0.94354[/C][/ROW]
[ROW][C]95[/C][C]16[/C][C]15.1386[/C][C]0.861433[/C][/ROW]
[ROW][C]96[/C][C]16[/C][C]14.587[/C][C]1.41298[/C][/ROW]
[ROW][C]97[/C][C]16[/C][C]14.6037[/C][C]1.39627[/C][/ROW]
[ROW][C]98[/C][C]16[/C][C]14.928[/C][C]1.07203[/C][/ROW]
[ROW][C]99[/C][C]14[/C][C]14.1884[/C][C]-0.188396[/C][/ROW]
[ROW][C]100[/C][C]16[/C][C]14.9054[/C][C]1.09459[/C][/ROW]
[ROW][C]101[/C][C]16[/C][C]14.7007[/C][C]1.29933[/C][/ROW]
[ROW][C]102[/C][C]20[/C][C]14.9221[/C][C]5.07788[/C][/ROW]
[ROW][C]103[/C][C]15[/C][C]13.9043[/C][C]1.09574[/C][/ROW]
[ROW][C]104[/C][C]16[/C][C]14.3931[/C][C]1.60686[/C][/ROW]
[ROW][C]105[/C][C]13[/C][C]14.9171[/C][C]-1.91711[/C][/ROW]
[ROW][C]106[/C][C]17[/C][C]14.9054[/C][C]2.09459[/C][/ROW]
[ROW][C]107[/C][C]16[/C][C]15.1219[/C][C]0.878146[/C][/ROW]
[ROW][C]108[/C][C]16[/C][C]14.0413[/C][C]1.95868[/C][/ROW]
[ROW][C]109[/C][C]12[/C][C]14.6505[/C][C]-2.65053[/C][/ROW]
[ROW][C]110[/C][C]16[/C][C]14.2051[/C][C]1.79489[/C][/ROW]
[ROW][C]111[/C][C]16[/C][C]14.0121[/C][C]1.98793[/C][/ROW]
[ROW][C]112[/C][C]17[/C][C]14.5294[/C][C]2.47065[/C][/ROW]
[ROW][C]113[/C][C]13[/C][C]13.1087[/C][C]-0.108696[/C][/ROW]
[ROW][C]114[/C][C]12[/C][C]14.7859[/C][C]-2.78591[/C][/ROW]
[ROW][C]115[/C][C]18[/C][C]15.07[/C][C]2.92996[/C][/ROW]
[ROW][C]116[/C][C]14[/C][C]13.6828[/C][C]0.317191[/C][/ROW]
[ROW][C]117[/C][C]14[/C][C]14.1717[/C][C]-0.171683[/C][/ROW]
[ROW][C]118[/C][C]13[/C][C]14.109[/C][C]-1.10901[/C][/ROW]
[ROW][C]119[/C][C]16[/C][C]15.3032[/C][C]0.696804[/C][/ROW]
[ROW][C]120[/C][C]13[/C][C]13.6828[/C][C]-0.682809[/C][/ROW]
[ROW][C]121[/C][C]16[/C][C]14.0689[/C][C]1.93111[/C][/ROW]
[ROW][C]122[/C][C]13[/C][C]15.2748[/C][C]-2.27478[/C][/ROW]
[ROW][C]123[/C][C]16[/C][C]14.7859[/C][C]1.21409[/C][/ROW]
[ROW][C]124[/C][C]15[/C][C]14.5812[/C][C]0.418833[/C][/ROW]
[ROW][C]125[/C][C]16[/C][C]14.1541[/C][C]1.84587[/C][/ROW]
[ROW][C]126[/C][C]15[/C][C]15.4227[/C][C]-0.422699[/C][/ROW]
[ROW][C]127[/C][C]17[/C][C]15.5656[/C][C]1.4344[/C][/ROW]
[ROW][C]128[/C][C]15[/C][C]14.45[/C][C]0.550036[/C][/ROW]
[ROW][C]129[/C][C]12[/C][C]14.4333[/C][C]-2.43325[/C][/ROW]
[ROW][C]130[/C][C]16[/C][C]14.0463[/C][C]1.95367[/C][/ROW]
[ROW][C]131[/C][C]10[/C][C]13.4263[/C][C]-3.42625[/C][/ROW]
[ROW][C]132[/C][C]16[/C][C]15.1728[/C][C]0.82717[/C][/ROW]
[ROW][C]133[/C][C]12[/C][C]13.2783[/C][C]-1.27834[/C][/ROW]
[ROW][C]134[/C][C]14[/C][C]14.7291[/C][C]-0.729083[/C][/ROW]
[ROW][C]135[/C][C]15[/C][C]14.4441[/C][C]0.555886[/C][/ROW]
[ROW][C]136[/C][C]13[/C][C]13.0853[/C][C]-0.0852956[/C][/ROW]
[ROW][C]137[/C][C]15[/C][C]14.058[/C][C]0.94197[/C][/ROW]
[ROW][C]138[/C][C]11[/C][C]13.3243[/C][C]-2.3243[/C][/ROW]
[ROW][C]139[/C][C]12[/C][C]14.2059[/C][C]-2.20595[/C][/ROW]
[ROW][C]140[/C][C]11[/C][C]13.87[/C][C]-2.87[/C][/ROW]
[ROW][C]141[/C][C]16[/C][C]13.5633[/C][C]2.43669[/C][/ROW]
[ROW][C]142[/C][C]15[/C][C]14.1767[/C][C]0.823305[/C][/ROW]
[ROW][C]143[/C][C]17[/C][C]14.2335[/C][C]2.76648[/C][/ROW]
[ROW][C]144[/C][C]16[/C][C]14.0973[/C][C]1.90269[/C][/ROW]
[ROW][C]145[/C][C]10[/C][C]15.5138[/C][C]-5.51379[/C][/ROW]
[ROW][C]146[/C][C]18[/C][C]14.1884[/C][C]3.8116[/C][/ROW]
[ROW][C]147[/C][C]13[/C][C]14.2118[/C][C]-1.2118[/C][/ROW]
[ROW][C]148[/C][C]16[/C][C]14.16[/C][C]1.84002[/C][/ROW]
[ROW][C]149[/C][C]13[/C][C]14.4617[/C][C]-1.46166[/C][/ROW]
[ROW][C]150[/C][C]10[/C][C]15.1611[/C][C]-5.16113[/C][/ROW]
[ROW][C]151[/C][C]15[/C][C]15.4687[/C][C]-0.468662[/C][/ROW]
[ROW][C]152[/C][C]16[/C][C]14.2853[/C][C]1.71466[/C][/ROW]
[ROW][C]153[/C][C]16[/C][C]14.4333[/C][C]1.56675[/C][/ROW]
[ROW][C]154[/C][C]14[/C][C]14.7065[/C][C]-0.70652[/C][/ROW]
[ROW][C]155[/C][C]10[/C][C]14.3647[/C][C]-4.36472[/C][/ROW]
[ROW][C]156[/C][C]17[/C][C]14.0413[/C][C]2.95868[/C][/ROW]
[ROW][C]157[/C][C]13[/C][C]13.9895[/C][C]-0.989504[/C][/ROW]
[ROW][C]158[/C][C]15[/C][C]14.45[/C][C]0.550036[/C][/ROW]
[ROW][C]159[/C][C]16[/C][C]14.6547[/C][C]1.34529[/C][/ROW]
[ROW][C]160[/C][C]12[/C][C]14.4157[/C][C]-2.4157[/C][/ROW]
[ROW][C]161[/C][C]13[/C][C]14.2285[/C][C]-1.22851[/C][/ROW]
[ROW][C]162[/C][C]13[/C][C]13.3068[/C][C]-0.306751[/C][/ROW]
[ROW][C]163[/C][C]12[/C][C]14.211[/C][C]-2.21096[/C][/ROW]
[ROW][C]164[/C][C]17[/C][C]15.0759[/C][C]1.92411[/C][/ROW]
[ROW][C]165[/C][C]15[/C][C]14.3137[/C][C]0.686252[/C][/ROW]
[ROW][C]166[/C][C]10[/C][C]12.6073[/C][C]-2.60728[/C][/ROW]
[ROW][C]167[/C][C]14[/C][C]14.0062[/C][C]-0.00621648[/C][/ROW]
[ROW][C]168[/C][C]11[/C][C]13.4146[/C][C]-2.41455[/C][/ROW]
[ROW][C]169[/C][C]13[/C][C]14.5979[/C][C]-1.59788[/C][/ROW]
[ROW][C]170[/C][C]16[/C][C]13.5056[/C][C]2.49436[/C][/ROW]
[ROW][C]171[/C][C]12[/C][C]14.1892[/C][C]-2.18923[/C][/ROW]
[ROW][C]172[/C][C]16[/C][C]14.5528[/C][C]1.44725[/C][/ROW]
[ROW][C]173[/C][C]12[/C][C]15.3207[/C][C]-3.32075[/C][/ROW]
[ROW][C]174[/C][C]9[/C][C]13.3469[/C][C]-4.34686[/C][/ROW]
[ROW][C]175[/C][C]12[/C][C]14.5528[/C][C]-2.55275[/C][/ROW]
[ROW][C]176[/C][C]15[/C][C]14.2452[/C][C]0.754778[/C][/ROW]
[ROW][C]177[/C][C]12[/C][C]14.5586[/C][C]-2.5586[/C][/ROW]
[ROW][C]178[/C][C]12[/C][C]13.7505[/C][C]-1.7505[/C][/ROW]
[ROW][C]179[/C][C]14[/C][C]13.8132[/C][C]0.186825[/C][/ROW]
[ROW][C]180[/C][C]12[/C][C]14.8486[/C][C]-2.84859[/C][/ROW]
[ROW][C]181[/C][C]16[/C][C]14.0413[/C][C]1.95868[/C][/ROW]
[ROW][C]182[/C][C]11[/C][C]14.2912[/C][C]-3.29119[/C][/ROW]
[ROW][C]183[/C][C]19[/C][C]13.8984[/C][C]5.10159[/C][/ROW]
[ROW][C]184[/C][C]15[/C][C]15.0191[/C][C]-0.0190644[/C][/ROW]
[ROW][C]185[/C][C]8[/C][C]13.3627[/C][C]-5.36274[/C][/ROW]
[ROW][C]186[/C][C]16[/C][C]14.1884[/C][C]1.8116[/C][/ROW]
[ROW][C]187[/C][C]17[/C][C]14.6096[/C][C]2.39042[/C][/ROW]
[ROW][C]188[/C][C]12[/C][C]15.3375[/C][C]-3.33746[/C][/ROW]
[ROW][C]189[/C][C]11[/C][C]13.0853[/C][C]-2.0853[/C][/ROW]
[ROW][C]190[/C][C]11[/C][C]13.7622[/C][C]-2.7622[/C][/ROW]
[ROW][C]191[/C][C]14[/C][C]13.1087[/C][C]0.891304[/C][/ROW]
[ROW][C]192[/C][C]16[/C][C]14.877[/C][C]1.123[/C][/ROW]
[ROW][C]193[/C][C]12[/C][C]13.9895[/C][C]-1.9895[/C][/ROW]
[ROW][C]194[/C][C]16[/C][C]14.1491[/C][C]1.85088[/C][/ROW]
[ROW][C]195[/C][C]13[/C][C]14.0747[/C][C]-1.07474[/C][/ROW]
[ROW][C]196[/C][C]15[/C][C]14.6154[/C][C]0.38457[/C][/ROW]
[ROW][C]197[/C][C]16[/C][C]14.5126[/C][C]1.48736[/C][/ROW]
[ROW][C]198[/C][C]16[/C][C]14.6204[/C][C]1.37956[/C][/ROW]
[ROW][C]199[/C][C]14[/C][C]13.9101[/C][C]0.0898857[/C][/ROW]
[ROW][C]200[/C][C]16[/C][C]13.4998[/C][C]2.50021[/C][/ROW]
[ROW][C]201[/C][C]16[/C][C]13.7505[/C][C]2.2495[/C][/ROW]
[ROW][C]202[/C][C]14[/C][C]13.0335[/C][C]0.966518[/C][/ROW]
[ROW][C]203[/C][C]11[/C][C]14.399[/C][C]-3.39899[/C][/ROW]
[ROW][C]204[/C][C]12[/C][C]13.8023[/C][C]-1.80231[/C][/ROW]
[ROW][C]205[/C][C]15[/C][C]14.1942[/C][C]0.805754[/C][/ROW]
[ROW][C]206[/C][C]15[/C][C]14.3706[/C][C]0.629425[/C][/ROW]
[ROW][C]207[/C][C]16[/C][C]14.8026[/C][C]1.19738[/C][/ROW]
[ROW][C]208[/C][C]16[/C][C]13.865[/C][C]2.13501[/C][/ROW]
[ROW][C]209[/C][C]11[/C][C]14.4959[/C][C]-3.49593[/C][/ROW]
[ROW][C]210[/C][C]15[/C][C]14.6547[/C][C]0.345294[/C][/ROW]
[ROW][C]211[/C][C]12[/C][C]14.0864[/C][C]-2.08644[/C][/ROW]
[ROW][C]212[/C][C]12[/C][C]15.4912[/C][C]-3.49123[/C][/ROW]
[ROW][C]213[/C][C]15[/C][C]14.5009[/C][C]0.49906[/C][/ROW]
[ROW][C]214[/C][C]15[/C][C]14.0346[/C][C]0.96537[/C][/ROW]
[ROW][C]215[/C][C]16[/C][C]14.2912[/C][C]1.70881[/C][/ROW]
[ROW][C]216[/C][C]14[/C][C]13.3978[/C][C]0.60216[/C][/ROW]
[ROW][C]217[/C][C]17[/C][C]14.5636[/C][C]2.43638[/C][/ROW]
[ROW][C]218[/C][C]14[/C][C]15.2238[/C][C]-1.22381[/C][/ROW]
[ROW][C]219[/C][C]13[/C][C]14.2402[/C][C]-1.24021[/C][/ROW]
[ROW][C]220[/C][C]15[/C][C]14.8369[/C][C]0.163115[/C][/ROW]
[ROW][C]221[/C][C]13[/C][C]14.5469[/C][C]-1.5469[/C][/ROW]
[ROW][C]222[/C][C]14[/C][C]14.394[/C][C]-0.393975[/C][/ROW]
[ROW][C]223[/C][C]15[/C][C]14.1942[/C][C]0.805754[/C][/ROW]
[ROW][C]224[/C][C]12[/C][C]13.9552[/C][C]-1.95524[/C][/ROW]
[ROW][C]225[/C][C]13[/C][C]13.3477[/C][C]-0.347701[/C][/ROW]
[ROW][C]226[/C][C]8[/C][C]14.2452[/C][C]-6.24522[/C][/ROW]
[ROW][C]227[/C][C]14[/C][C]13.4438[/C][C]0.556196[/C][/ROW]
[ROW][C]228[/C][C]14[/C][C]13.9385[/C][C]0.0614726[/C][/ROW]
[ROW][C]229[/C][C]11[/C][C]14.1433[/C][C]-3.14327[/C][/ROW]
[ROW][C]230[/C][C]12[/C][C]14.2569[/C][C]-2.25692[/C][/ROW]
[ROW][C]231[/C][C]13[/C][C]14.2853[/C][C]-1.28534[/C][/ROW]
[ROW][C]232[/C][C]10[/C][C]14.0522[/C][C]-4.05218[/C][/ROW]
[ROW][C]233[/C][C]16[/C][C]13.677[/C][C]2.32304[/C][/ROW]
[ROW][C]234[/C][C]18[/C][C]15.1503[/C][C]2.84973[/C][/ROW]
[ROW][C]235[/C][C]13[/C][C]14.3137[/C][C]-1.31375[/C][/ROW]
[ROW][C]236[/C][C]11[/C][C]14.4959[/C][C]-3.49593[/C][/ROW]
[ROW][C]237[/C][C]4[/C][C]14.7859[/C][C]-10.7859[/C][/ROW]
[ROW][C]238[/C][C]13[/C][C]13.9277[/C][C]-0.927665[/C][/ROW]
[ROW][C]239[/C][C]16[/C][C]13.7162[/C][C]2.28377[/C][/ROW]
[ROW][C]240[/C][C]10[/C][C]14.6723[/C][C]-4.67226[/C][/ROW]
[ROW][C]241[/C][C]12[/C][C]13.9318[/C][C]-1.93184[/C][/ROW]
[ROW][C]242[/C][C]12[/C][C]13.8934[/C][C]-1.8934[/C][/ROW]
[ROW][C]243[/C][C]10[/C][C]13.1989[/C][C]-3.19895[/C][/ROW]
[ROW][C]244[/C][C]13[/C][C]14.2628[/C][C]-1.26277[/C][/ROW]
[ROW][C]245[/C][C]15[/C][C]14.9564[/C][C]0.043612[/C][/ROW]
[ROW][C]246[/C][C]12[/C][C]13.631[/C][C]-1.631[/C][/ROW]
[ROW][C]247[/C][C]14[/C][C]13.9611[/C][C]0.0389096[/C][/ROW]
[ROW][C]248[/C][C]10[/C][C]13.7572[/C][C]-3.75719[/C][/ROW]
[ROW][C]249[/C][C]12[/C][C]12.0666[/C][C]-0.0665976[/C][/ROW]
[ROW][C]250[/C][C]12[/C][C]12.2204[/C][C]-0.220364[/C][/ROW]
[ROW][C]251[/C][C]11[/C][C]13.8984[/C][C]-2.89841[/C][/ROW]
[ROW][C]252[/C][C]10[/C][C]14.3647[/C][C]-4.36472[/C][/ROW]
[ROW][C]253[/C][C]12[/C][C]14.5243[/C][C]-2.52434[/C][/ROW]
[ROW][C]254[/C][C]16[/C][C]14.1942[/C][C]1.80575[/C][/ROW]
[ROW][C]255[/C][C]12[/C][C]14.5586[/C][C]-2.5586[/C][/ROW]
[ROW][C]256[/C][C]14[/C][C]14.1717[/C][C]-0.171683[/C][/ROW]
[ROW][C]257[/C][C]16[/C][C]14.5185[/C][C]1.48151[/C][/ROW]
[ROW][C]258[/C][C]14[/C][C]13.6711[/C][C]0.328891[/C][/ROW]
[ROW][C]259[/C][C]13[/C][C]14.5302[/C][C]-1.53019[/C][/ROW]
[ROW][C]260[/C][C]4[/C][C]14.7458[/C][C]-10.7458[/C][/ROW]
[ROW][C]261[/C][C]15[/C][C]13.2499[/C][C]1.75008[/C][/ROW]
[ROW][C]262[/C][C]11[/C][C]14.2001[/C][C]-3.2001[/C][/ROW]
[ROW][C]263[/C][C]11[/C][C]14.7466[/C][C]-3.74663[/C][/ROW]
[ROW][C]264[/C][C]14[/C][C]13.7162[/C][C]0.283765[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253328&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253328&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
11314.6104-1.61042
21615.22380.776193
31913.66535.33474
41513.81321.18683
51414.4274-0.427401
61314.6037-1.60373
71914.37144.62859
81514.54110.458946
91414.6096-0.60958
101514.78590.214091
111614.99071.00935
121614.04131.95868
131614.64971.35031
141614.39981.60017
151714.62042.37956
161513.6771.32304
171514.6380.362007
182015.24644.75363
191814.6843.31604
201613.64852.35145
211613.90432.09574
221613.84162.15841
231914.39984.60017
241614.21761.78235
251715.3091.69095
261715.37761.62243
271614.66641.33359
281514.1090.890994
291614.36471.63528
301414.1717-0.171683
311514.18250.817455
321212.9658-0.965793
331414.6438-0.643843
341614.65471.34529
351414.3706-0.370575
361014.0463-4.04633
371013.4605-3.46052
381414.5243-0.524341
391613.82992.17011
401614.3481.65199
411614.72911.27092
421414.399-0.398988
432014.28035.71968
441413.8650.135012
451414.7065-0.70652
461114.5586-3.5586
471414.5929-0.592867
481514.27950.720515
491614.60961.39042
501414.877-0.876999
511614.07471.92526
521413.93270.0673227
531213.819-1.81902
541614.02961.97038
55913.819-4.81902
561414.7859-0.785909
571614.96811.03191
581613.57422.42583
591514.70070.29933
601614.37641.62358
611213.2959-1.29589
621614.93381.06618
631614.54111.45895
641413.3870.613023
651613.80232.19769
661714.66062.33944
671814.38233.61773
681813.86424.13585
691214.6555-2.65554
701614.3481.65199
711014.6497-4.64969
721413.44380.556196
731814.56953.43053
741814.70653.29348
751614.65471.34529
761715.13861.86143
771614.61541.38457
781614.22851.77149
791313.7388-0.738798
801614.16081.83918
811614.39311.60686
821614.40481.59516
831514.70070.29933
841514.07470.925257
851614.33631.66369
861414.877-0.876999
871614.1091.89099
881613.20482.7952
891514.13740.862581
901213.9837-1.98365
911714.04132.95868
921614.57531.42468
931514.35890.641126
941313.9435-0.94354
951615.13860.861433
961614.5871.41298
971614.60371.39627
981614.9281.07203
991414.1884-0.188396
1001614.90541.09459
1011614.70071.29933
1022014.92215.07788
1031513.90431.09574
1041614.39311.60686
1051314.9171-1.91711
1061714.90542.09459
1071615.12190.878146
1081614.04131.95868
1091214.6505-2.65053
1101614.20511.79489
1111614.01211.98793
1121714.52942.47065
1131313.1087-0.108696
1141214.7859-2.78591
1151815.072.92996
1161413.68280.317191
1171414.1717-0.171683
1181314.109-1.10901
1191615.30320.696804
1201313.6828-0.682809
1211614.06891.93111
1221315.2748-2.27478
1231614.78591.21409
1241514.58120.418833
1251614.15411.84587
1261515.4227-0.422699
1271715.56561.4344
1281514.450.550036
1291214.4333-2.43325
1301614.04631.95367
1311013.4263-3.42625
1321615.17280.82717
1331213.2783-1.27834
1341414.7291-0.729083
1351514.44410.555886
1361313.0853-0.0852956
1371514.0580.94197
1381113.3243-2.3243
1391214.2059-2.20595
1401113.87-2.87
1411613.56332.43669
1421514.17670.823305
1431714.23352.76648
1441614.09731.90269
1451015.5138-5.51379
1461814.18843.8116
1471314.2118-1.2118
1481614.161.84002
1491314.4617-1.46166
1501015.1611-5.16113
1511515.4687-0.468662
1521614.28531.71466
1531614.43331.56675
1541414.7065-0.70652
1551014.3647-4.36472
1561714.04132.95868
1571313.9895-0.989504
1581514.450.550036
1591614.65471.34529
1601214.4157-2.4157
1611314.2285-1.22851
1621313.3068-0.306751
1631214.211-2.21096
1641715.07591.92411
1651514.31370.686252
1661012.6073-2.60728
1671414.0062-0.00621648
1681113.4146-2.41455
1691314.5979-1.59788
1701613.50562.49436
1711214.1892-2.18923
1721614.55281.44725
1731215.3207-3.32075
174913.3469-4.34686
1751214.5528-2.55275
1761514.24520.754778
1771214.5586-2.5586
1781213.7505-1.7505
1791413.81320.186825
1801214.8486-2.84859
1811614.04131.95868
1821114.2912-3.29119
1831913.89845.10159
1841515.0191-0.0190644
185813.3627-5.36274
1861614.18841.8116
1871714.60962.39042
1881215.3375-3.33746
1891113.0853-2.0853
1901113.7622-2.7622
1911413.10870.891304
1921614.8771.123
1931213.9895-1.9895
1941614.14911.85088
1951314.0747-1.07474
1961514.61540.38457
1971614.51261.48736
1981614.62041.37956
1991413.91010.0898857
2001613.49982.50021
2011613.75052.2495
2021413.03350.966518
2031114.399-3.39899
2041213.8023-1.80231
2051514.19420.805754
2061514.37060.629425
2071614.80261.19738
2081613.8652.13501
2091114.4959-3.49593
2101514.65470.345294
2111214.0864-2.08644
2121215.4912-3.49123
2131514.50090.49906
2141514.03460.96537
2151614.29121.70881
2161413.39780.60216
2171714.56362.43638
2181415.2238-1.22381
2191314.2402-1.24021
2201514.83690.163115
2211314.5469-1.5469
2221414.394-0.393975
2231514.19420.805754
2241213.9552-1.95524
2251313.3477-0.347701
226814.2452-6.24522
2271413.44380.556196
2281413.93850.0614726
2291114.1433-3.14327
2301214.2569-2.25692
2311314.2853-1.28534
2321014.0522-4.05218
2331613.6772.32304
2341815.15032.84973
2351314.3137-1.31375
2361114.4959-3.49593
237414.7859-10.7859
2381313.9277-0.927665
2391613.71622.28377
2401014.6723-4.67226
2411213.9318-1.93184
2421213.8934-1.8934
2431013.1989-3.19895
2441314.2628-1.26277
2451514.95640.043612
2461213.631-1.631
2471413.96110.0389096
2481013.7572-3.75719
2491212.0666-0.0665976
2501212.2204-0.220364
2511113.8984-2.89841
2521014.3647-4.36472
2531214.5243-2.52434
2541614.19421.80575
2551214.5586-2.5586
2561414.1717-0.171683
2571614.51851.48151
2581413.67110.328891
2591314.5302-1.53019
260414.7458-10.7458
2611513.24991.75008
2621114.2001-3.2001
2631114.7466-3.74663
2641413.71620.283765






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.6327260.7345470.367274
70.7860540.4278920.213946
80.673670.652660.32633
90.5708640.8582730.429136
100.4564060.9128120.543594
110.3983550.796710.601645
120.304710.6094210.69529
130.2295370.4590730.770463
140.1630290.3260570.836971
150.1522530.3045060.847747
160.1262440.2524880.873756
170.08721510.174430.912785
180.2669010.5338010.733099
190.2674810.5349620.732519
200.2125990.4251980.787401
210.1649310.3298630.835069
220.125610.2512210.87439
230.163210.3264210.83679
240.1261570.2523140.873843
250.09954630.1990930.900454
260.07575220.1515040.924248
270.05534410.1106880.944656
280.04175860.08351720.958241
290.02975970.05951950.97024
300.02756750.0551350.972432
310.01953370.03906740.980466
320.02423210.04846430.975768
330.02400090.04800190.975999
340.01705750.0341150.982943
350.01452530.02905060.985475
360.06369960.1273990.9363
370.1124390.2248770.887561
380.1004720.2009430.899528
390.09630850.1926170.903692
400.078080.156160.92192
410.06136060.1227210.938639
420.05111560.1022310.948884
430.09897920.1979580.901021
440.08612880.1722580.913871
450.08406790.1681360.915932
460.1677470.3354940.832253
470.1568380.3136770.843162
480.1301360.2602720.869864
490.108850.21770.89115
500.1016470.2032940.898353
510.08998740.1799750.910013
520.07358760.1471750.926412
530.07669750.1533950.923303
540.0663920.1327840.933608
550.1611770.3223530.838823
560.1471720.2943440.852828
570.1244740.2489480.875526
580.1250210.2500410.874979
590.1051830.2103670.894817
600.09070630.1814130.909294
610.0829040.1658080.917096
620.06851660.1370330.931483
630.05807840.1161570.941922
640.04686470.09372940.953135
650.04222430.08444860.957776
660.03925930.07851850.960741
670.04641850.09283690.953582
680.07018670.1403730.929813
690.09363350.1872670.906366
700.08145640.1629130.918544
710.174140.348280.82586
720.1500220.3000440.849978
730.1643090.3286180.835691
740.175480.350960.82452
750.1542830.3085650.845717
760.1392320.2784650.860768
770.1221220.2442440.877878
780.1094360.2188720.890564
790.09675890.1935180.903241
800.08718470.1743690.912815
810.07630510.152610.923695
820.06662120.1332420.933379
830.05613990.112280.94386
840.04671030.09342060.95329
850.0404650.08092990.959535
860.03693450.0738690.963065
870.03278360.06556720.967216
880.03400520.06801050.965995
890.02790260.05580520.972097
900.02961610.05923220.970384
910.03150640.06301270.968494
920.02671510.05343010.973285
930.02160280.04320570.978397
940.01869260.03738520.981307
950.01525730.03051450.984743
960.01280270.02560540.987197
970.01064350.02128690.989357
980.008623930.01724790.991376
990.006876160.01375230.993124
1000.005556950.01111390.994443
1010.004539490.009078980.995461
1020.01113980.02227960.98886
1030.009078520.0181570.990921
1040.007737070.01547410.992263
1050.008688790.01737760.991311
1060.008064240.01612850.991936
1070.006705440.01341090.993295
1080.006144610.01228920.993855
1090.008023190.01604640.991977
1100.00687890.01375780.993121
1110.0061490.0122980.993851
1120.005948550.01189710.994051
1130.004650.00930.99535
1140.006445010.012890.993555
1150.007244530.01448910.992755
1160.005729640.01145930.99427
1170.004613490.009226980.995387
1180.004094780.008189550.995905
1190.00335710.00671420.996643
1200.002714310.005428620.997286
1210.0024160.004831990.997584
1220.002931580.005863160.997068
1230.002455610.004911220.997544
1240.001938920.003877840.998061
1250.001705670.003411340.998294
1260.001414490.002828990.998586
1270.001302190.002604370.998698
1280.001018530.002037060.998981
1290.001219680.002439350.99878
1300.001112520.002225030.998887
1310.001976790.003953580.998023
1320.001666120.003332250.998334
1330.001459770.002919530.99854
1340.001204260.002408520.998796
1350.0009401230.001880250.99906
1360.0007007780.001401560.999299
1370.0005548620.001109720.999445
1380.0006015760.001203150.999398
1390.0006296660.001259330.99937
1400.0008217920.001643580.999178
1410.0008715960.001743190.999128
1420.0006781480.00135630.999322
1430.0007821850.001564370.999218
1440.0007255660.001451130.999274
1450.003209360.006418710.996791
1460.005270160.01054030.99473
1470.004470060.008940120.99553
1480.004214880.008429750.995785
1490.003727560.007455120.996272
1500.01003750.0200750.989962
1510.008312680.01662540.991687
1520.007814990.015630.992185
1530.007263780.01452760.992736
1540.005936490.0118730.994064
1550.01110370.02220730.988896
1560.01395890.02791780.986041
1570.01177040.02354090.98823
1580.009804940.01960990.990195
1590.008967040.01793410.991033
1600.009135680.01827140.990864
1610.007733410.01546680.992267
1620.00614210.01228420.993858
1630.005962610.01192520.994037
1640.006360780.01272160.993639
1650.005315770.01063150.994684
1660.006075770.01215150.993924
1670.004782880.009565770.995217
1680.004916590.009833170.995083
1690.004204620.008409240.995795
1700.004454290.008908570.995546
1710.004191480.008382970.995809
1720.003976210.007952420.996024
1730.004590970.009181950.995409
1740.008507530.01701510.991492
1750.008323610.01664720.991676
1760.006988930.01397790.993011
1770.006797470.01359490.993203
1780.005923780.01184760.994076
1790.004626360.009252710.995374
1800.004685020.009370040.995315
1810.004700620.009401250.995299
1820.005397930.01079590.994602
1830.01542130.03084250.984579
1840.01299590.02599180.987004
1850.03443190.06886380.965568
1860.03380540.06761090.966195
1870.04065690.08131380.959343
1880.04199490.08398990.958005
1890.0401760.08035190.959824
1900.04076620.08153240.959234
1910.03475360.06950720.965246
1920.03462820.06925630.965372
1930.03087230.06174470.969128
1940.03259820.06519630.967402
1950.02672010.05344010.97328
1960.02384430.04768860.976156
1970.02361610.04723230.976384
1980.02297370.04594740.977026
1990.01869830.03739660.981302
2000.01921970.03843950.98078
2010.02051330.04102650.979487
2020.01652740.03305470.983473
2030.0174870.03497390.982513
2040.01465970.02931930.98534
2050.01288390.02576770.987116
2060.01132960.02265920.98867
2070.01197790.02395590.988022
2080.01380310.02760620.986197
2090.0142090.02841790.985791
2100.01260880.02521760.987391
2110.01049770.02099530.989502
2120.009896090.01979220.990104
2130.008774730.01754950.991225
2140.007973990.0159480.992026
2150.009143220.01828640.990857
2160.007246150.01449230.992754
2170.01306240.02612480.986938
2180.01160840.02321690.988392
2190.008925630.01785130.991074
2200.009608060.01921610.990392
2210.007666190.01533240.992334
2220.006065360.01213070.993935
2230.006223350.01244670.993777
2240.004742010.009484030.995258
2250.003392940.006785890.996607
2260.007938170.01587630.992062
2270.006020880.01204180.993979
2280.004729870.009459740.99527
2290.004087850.00817570.995912
2300.003041580.006083160.996958
2310.002185590.004371190.997814
2320.002389510.004779030.99761
2330.002998310.005996620.997002
2340.01550490.03100980.984495
2350.0119340.02386790.988066
2360.009674210.01934840.990326
2370.1793260.3586530.820674
2380.1485240.2970490.851476
2390.1822490.3644970.817751
2400.1840030.3680070.815997
2410.1492020.2984050.850798
2420.1170820.2341640.882918
2430.1185660.2371330.881434
2440.09118840.1823770.908812
2450.1015520.2031050.898448
2460.0751420.1502840.924858
2470.06149880.1229980.938501
2480.09393470.1878690.906065
2490.07914870.1582970.920851
2500.1808960.3617930.819104
2510.1688060.3376110.831194
2520.1287180.2574360.871282
2530.08849470.1769890.911505
2540.1428490.2856980.857151
2550.09305290.1861060.906947
2560.05998520.119970.940015
2570.643670.712660.35633
2580.5295360.9409280.470464

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
6 & 0.632726 & 0.734547 & 0.367274 \tabularnewline
7 & 0.786054 & 0.427892 & 0.213946 \tabularnewline
8 & 0.67367 & 0.65266 & 0.32633 \tabularnewline
9 & 0.570864 & 0.858273 & 0.429136 \tabularnewline
10 & 0.456406 & 0.912812 & 0.543594 \tabularnewline
11 & 0.398355 & 0.79671 & 0.601645 \tabularnewline
12 & 0.30471 & 0.609421 & 0.69529 \tabularnewline
13 & 0.229537 & 0.459073 & 0.770463 \tabularnewline
14 & 0.163029 & 0.326057 & 0.836971 \tabularnewline
15 & 0.152253 & 0.304506 & 0.847747 \tabularnewline
16 & 0.126244 & 0.252488 & 0.873756 \tabularnewline
17 & 0.0872151 & 0.17443 & 0.912785 \tabularnewline
18 & 0.266901 & 0.533801 & 0.733099 \tabularnewline
19 & 0.267481 & 0.534962 & 0.732519 \tabularnewline
20 & 0.212599 & 0.425198 & 0.787401 \tabularnewline
21 & 0.164931 & 0.329863 & 0.835069 \tabularnewline
22 & 0.12561 & 0.251221 & 0.87439 \tabularnewline
23 & 0.16321 & 0.326421 & 0.83679 \tabularnewline
24 & 0.126157 & 0.252314 & 0.873843 \tabularnewline
25 & 0.0995463 & 0.199093 & 0.900454 \tabularnewline
26 & 0.0757522 & 0.151504 & 0.924248 \tabularnewline
27 & 0.0553441 & 0.110688 & 0.944656 \tabularnewline
28 & 0.0417586 & 0.0835172 & 0.958241 \tabularnewline
29 & 0.0297597 & 0.0595195 & 0.97024 \tabularnewline
30 & 0.0275675 & 0.055135 & 0.972432 \tabularnewline
31 & 0.0195337 & 0.0390674 & 0.980466 \tabularnewline
32 & 0.0242321 & 0.0484643 & 0.975768 \tabularnewline
33 & 0.0240009 & 0.0480019 & 0.975999 \tabularnewline
34 & 0.0170575 & 0.034115 & 0.982943 \tabularnewline
35 & 0.0145253 & 0.0290506 & 0.985475 \tabularnewline
36 & 0.0636996 & 0.127399 & 0.9363 \tabularnewline
37 & 0.112439 & 0.224877 & 0.887561 \tabularnewline
38 & 0.100472 & 0.200943 & 0.899528 \tabularnewline
39 & 0.0963085 & 0.192617 & 0.903692 \tabularnewline
40 & 0.07808 & 0.15616 & 0.92192 \tabularnewline
41 & 0.0613606 & 0.122721 & 0.938639 \tabularnewline
42 & 0.0511156 & 0.102231 & 0.948884 \tabularnewline
43 & 0.0989792 & 0.197958 & 0.901021 \tabularnewline
44 & 0.0861288 & 0.172258 & 0.913871 \tabularnewline
45 & 0.0840679 & 0.168136 & 0.915932 \tabularnewline
46 & 0.167747 & 0.335494 & 0.832253 \tabularnewline
47 & 0.156838 & 0.313677 & 0.843162 \tabularnewline
48 & 0.130136 & 0.260272 & 0.869864 \tabularnewline
49 & 0.10885 & 0.2177 & 0.89115 \tabularnewline
50 & 0.101647 & 0.203294 & 0.898353 \tabularnewline
51 & 0.0899874 & 0.179975 & 0.910013 \tabularnewline
52 & 0.0735876 & 0.147175 & 0.926412 \tabularnewline
53 & 0.0766975 & 0.153395 & 0.923303 \tabularnewline
54 & 0.066392 & 0.132784 & 0.933608 \tabularnewline
55 & 0.161177 & 0.322353 & 0.838823 \tabularnewline
56 & 0.147172 & 0.294344 & 0.852828 \tabularnewline
57 & 0.124474 & 0.248948 & 0.875526 \tabularnewline
58 & 0.125021 & 0.250041 & 0.874979 \tabularnewline
59 & 0.105183 & 0.210367 & 0.894817 \tabularnewline
60 & 0.0907063 & 0.181413 & 0.909294 \tabularnewline
61 & 0.082904 & 0.165808 & 0.917096 \tabularnewline
62 & 0.0685166 & 0.137033 & 0.931483 \tabularnewline
63 & 0.0580784 & 0.116157 & 0.941922 \tabularnewline
64 & 0.0468647 & 0.0937294 & 0.953135 \tabularnewline
65 & 0.0422243 & 0.0844486 & 0.957776 \tabularnewline
66 & 0.0392593 & 0.0785185 & 0.960741 \tabularnewline
67 & 0.0464185 & 0.0928369 & 0.953582 \tabularnewline
68 & 0.0701867 & 0.140373 & 0.929813 \tabularnewline
69 & 0.0936335 & 0.187267 & 0.906366 \tabularnewline
70 & 0.0814564 & 0.162913 & 0.918544 \tabularnewline
71 & 0.17414 & 0.34828 & 0.82586 \tabularnewline
72 & 0.150022 & 0.300044 & 0.849978 \tabularnewline
73 & 0.164309 & 0.328618 & 0.835691 \tabularnewline
74 & 0.17548 & 0.35096 & 0.82452 \tabularnewline
75 & 0.154283 & 0.308565 & 0.845717 \tabularnewline
76 & 0.139232 & 0.278465 & 0.860768 \tabularnewline
77 & 0.122122 & 0.244244 & 0.877878 \tabularnewline
78 & 0.109436 & 0.218872 & 0.890564 \tabularnewline
79 & 0.0967589 & 0.193518 & 0.903241 \tabularnewline
80 & 0.0871847 & 0.174369 & 0.912815 \tabularnewline
81 & 0.0763051 & 0.15261 & 0.923695 \tabularnewline
82 & 0.0666212 & 0.133242 & 0.933379 \tabularnewline
83 & 0.0561399 & 0.11228 & 0.94386 \tabularnewline
84 & 0.0467103 & 0.0934206 & 0.95329 \tabularnewline
85 & 0.040465 & 0.0809299 & 0.959535 \tabularnewline
86 & 0.0369345 & 0.073869 & 0.963065 \tabularnewline
87 & 0.0327836 & 0.0655672 & 0.967216 \tabularnewline
88 & 0.0340052 & 0.0680105 & 0.965995 \tabularnewline
89 & 0.0279026 & 0.0558052 & 0.972097 \tabularnewline
90 & 0.0296161 & 0.0592322 & 0.970384 \tabularnewline
91 & 0.0315064 & 0.0630127 & 0.968494 \tabularnewline
92 & 0.0267151 & 0.0534301 & 0.973285 \tabularnewline
93 & 0.0216028 & 0.0432057 & 0.978397 \tabularnewline
94 & 0.0186926 & 0.0373852 & 0.981307 \tabularnewline
95 & 0.0152573 & 0.0305145 & 0.984743 \tabularnewline
96 & 0.0128027 & 0.0256054 & 0.987197 \tabularnewline
97 & 0.0106435 & 0.0212869 & 0.989357 \tabularnewline
98 & 0.00862393 & 0.0172479 & 0.991376 \tabularnewline
99 & 0.00687616 & 0.0137523 & 0.993124 \tabularnewline
100 & 0.00555695 & 0.0111139 & 0.994443 \tabularnewline
101 & 0.00453949 & 0.00907898 & 0.995461 \tabularnewline
102 & 0.0111398 & 0.0222796 & 0.98886 \tabularnewline
103 & 0.00907852 & 0.018157 & 0.990921 \tabularnewline
104 & 0.00773707 & 0.0154741 & 0.992263 \tabularnewline
105 & 0.00868879 & 0.0173776 & 0.991311 \tabularnewline
106 & 0.00806424 & 0.0161285 & 0.991936 \tabularnewline
107 & 0.00670544 & 0.0134109 & 0.993295 \tabularnewline
108 & 0.00614461 & 0.0122892 & 0.993855 \tabularnewline
109 & 0.00802319 & 0.0160464 & 0.991977 \tabularnewline
110 & 0.0068789 & 0.0137578 & 0.993121 \tabularnewline
111 & 0.006149 & 0.012298 & 0.993851 \tabularnewline
112 & 0.00594855 & 0.0118971 & 0.994051 \tabularnewline
113 & 0.00465 & 0.0093 & 0.99535 \tabularnewline
114 & 0.00644501 & 0.01289 & 0.993555 \tabularnewline
115 & 0.00724453 & 0.0144891 & 0.992755 \tabularnewline
116 & 0.00572964 & 0.0114593 & 0.99427 \tabularnewline
117 & 0.00461349 & 0.00922698 & 0.995387 \tabularnewline
118 & 0.00409478 & 0.00818955 & 0.995905 \tabularnewline
119 & 0.0033571 & 0.0067142 & 0.996643 \tabularnewline
120 & 0.00271431 & 0.00542862 & 0.997286 \tabularnewline
121 & 0.002416 & 0.00483199 & 0.997584 \tabularnewline
122 & 0.00293158 & 0.00586316 & 0.997068 \tabularnewline
123 & 0.00245561 & 0.00491122 & 0.997544 \tabularnewline
124 & 0.00193892 & 0.00387784 & 0.998061 \tabularnewline
125 & 0.00170567 & 0.00341134 & 0.998294 \tabularnewline
126 & 0.00141449 & 0.00282899 & 0.998586 \tabularnewline
127 & 0.00130219 & 0.00260437 & 0.998698 \tabularnewline
128 & 0.00101853 & 0.00203706 & 0.998981 \tabularnewline
129 & 0.00121968 & 0.00243935 & 0.99878 \tabularnewline
130 & 0.00111252 & 0.00222503 & 0.998887 \tabularnewline
131 & 0.00197679 & 0.00395358 & 0.998023 \tabularnewline
132 & 0.00166612 & 0.00333225 & 0.998334 \tabularnewline
133 & 0.00145977 & 0.00291953 & 0.99854 \tabularnewline
134 & 0.00120426 & 0.00240852 & 0.998796 \tabularnewline
135 & 0.000940123 & 0.00188025 & 0.99906 \tabularnewline
136 & 0.000700778 & 0.00140156 & 0.999299 \tabularnewline
137 & 0.000554862 & 0.00110972 & 0.999445 \tabularnewline
138 & 0.000601576 & 0.00120315 & 0.999398 \tabularnewline
139 & 0.000629666 & 0.00125933 & 0.99937 \tabularnewline
140 & 0.000821792 & 0.00164358 & 0.999178 \tabularnewline
141 & 0.000871596 & 0.00174319 & 0.999128 \tabularnewline
142 & 0.000678148 & 0.0013563 & 0.999322 \tabularnewline
143 & 0.000782185 & 0.00156437 & 0.999218 \tabularnewline
144 & 0.000725566 & 0.00145113 & 0.999274 \tabularnewline
145 & 0.00320936 & 0.00641871 & 0.996791 \tabularnewline
146 & 0.00527016 & 0.0105403 & 0.99473 \tabularnewline
147 & 0.00447006 & 0.00894012 & 0.99553 \tabularnewline
148 & 0.00421488 & 0.00842975 & 0.995785 \tabularnewline
149 & 0.00372756 & 0.00745512 & 0.996272 \tabularnewline
150 & 0.0100375 & 0.020075 & 0.989962 \tabularnewline
151 & 0.00831268 & 0.0166254 & 0.991687 \tabularnewline
152 & 0.00781499 & 0.01563 & 0.992185 \tabularnewline
153 & 0.00726378 & 0.0145276 & 0.992736 \tabularnewline
154 & 0.00593649 & 0.011873 & 0.994064 \tabularnewline
155 & 0.0111037 & 0.0222073 & 0.988896 \tabularnewline
156 & 0.0139589 & 0.0279178 & 0.986041 \tabularnewline
157 & 0.0117704 & 0.0235409 & 0.98823 \tabularnewline
158 & 0.00980494 & 0.0196099 & 0.990195 \tabularnewline
159 & 0.00896704 & 0.0179341 & 0.991033 \tabularnewline
160 & 0.00913568 & 0.0182714 & 0.990864 \tabularnewline
161 & 0.00773341 & 0.0154668 & 0.992267 \tabularnewline
162 & 0.0061421 & 0.0122842 & 0.993858 \tabularnewline
163 & 0.00596261 & 0.0119252 & 0.994037 \tabularnewline
164 & 0.00636078 & 0.0127216 & 0.993639 \tabularnewline
165 & 0.00531577 & 0.0106315 & 0.994684 \tabularnewline
166 & 0.00607577 & 0.0121515 & 0.993924 \tabularnewline
167 & 0.00478288 & 0.00956577 & 0.995217 \tabularnewline
168 & 0.00491659 & 0.00983317 & 0.995083 \tabularnewline
169 & 0.00420462 & 0.00840924 & 0.995795 \tabularnewline
170 & 0.00445429 & 0.00890857 & 0.995546 \tabularnewline
171 & 0.00419148 & 0.00838297 & 0.995809 \tabularnewline
172 & 0.00397621 & 0.00795242 & 0.996024 \tabularnewline
173 & 0.00459097 & 0.00918195 & 0.995409 \tabularnewline
174 & 0.00850753 & 0.0170151 & 0.991492 \tabularnewline
175 & 0.00832361 & 0.0166472 & 0.991676 \tabularnewline
176 & 0.00698893 & 0.0139779 & 0.993011 \tabularnewline
177 & 0.00679747 & 0.0135949 & 0.993203 \tabularnewline
178 & 0.00592378 & 0.0118476 & 0.994076 \tabularnewline
179 & 0.00462636 & 0.00925271 & 0.995374 \tabularnewline
180 & 0.00468502 & 0.00937004 & 0.995315 \tabularnewline
181 & 0.00470062 & 0.00940125 & 0.995299 \tabularnewline
182 & 0.00539793 & 0.0107959 & 0.994602 \tabularnewline
183 & 0.0154213 & 0.0308425 & 0.984579 \tabularnewline
184 & 0.0129959 & 0.0259918 & 0.987004 \tabularnewline
185 & 0.0344319 & 0.0688638 & 0.965568 \tabularnewline
186 & 0.0338054 & 0.0676109 & 0.966195 \tabularnewline
187 & 0.0406569 & 0.0813138 & 0.959343 \tabularnewline
188 & 0.0419949 & 0.0839899 & 0.958005 \tabularnewline
189 & 0.040176 & 0.0803519 & 0.959824 \tabularnewline
190 & 0.0407662 & 0.0815324 & 0.959234 \tabularnewline
191 & 0.0347536 & 0.0695072 & 0.965246 \tabularnewline
192 & 0.0346282 & 0.0692563 & 0.965372 \tabularnewline
193 & 0.0308723 & 0.0617447 & 0.969128 \tabularnewline
194 & 0.0325982 & 0.0651963 & 0.967402 \tabularnewline
195 & 0.0267201 & 0.0534401 & 0.97328 \tabularnewline
196 & 0.0238443 & 0.0476886 & 0.976156 \tabularnewline
197 & 0.0236161 & 0.0472323 & 0.976384 \tabularnewline
198 & 0.0229737 & 0.0459474 & 0.977026 \tabularnewline
199 & 0.0186983 & 0.0373966 & 0.981302 \tabularnewline
200 & 0.0192197 & 0.0384395 & 0.98078 \tabularnewline
201 & 0.0205133 & 0.0410265 & 0.979487 \tabularnewline
202 & 0.0165274 & 0.0330547 & 0.983473 \tabularnewline
203 & 0.017487 & 0.0349739 & 0.982513 \tabularnewline
204 & 0.0146597 & 0.0293193 & 0.98534 \tabularnewline
205 & 0.0128839 & 0.0257677 & 0.987116 \tabularnewline
206 & 0.0113296 & 0.0226592 & 0.98867 \tabularnewline
207 & 0.0119779 & 0.0239559 & 0.988022 \tabularnewline
208 & 0.0138031 & 0.0276062 & 0.986197 \tabularnewline
209 & 0.014209 & 0.0284179 & 0.985791 \tabularnewline
210 & 0.0126088 & 0.0252176 & 0.987391 \tabularnewline
211 & 0.0104977 & 0.0209953 & 0.989502 \tabularnewline
212 & 0.00989609 & 0.0197922 & 0.990104 \tabularnewline
213 & 0.00877473 & 0.0175495 & 0.991225 \tabularnewline
214 & 0.00797399 & 0.015948 & 0.992026 \tabularnewline
215 & 0.00914322 & 0.0182864 & 0.990857 \tabularnewline
216 & 0.00724615 & 0.0144923 & 0.992754 \tabularnewline
217 & 0.0130624 & 0.0261248 & 0.986938 \tabularnewline
218 & 0.0116084 & 0.0232169 & 0.988392 \tabularnewline
219 & 0.00892563 & 0.0178513 & 0.991074 \tabularnewline
220 & 0.00960806 & 0.0192161 & 0.990392 \tabularnewline
221 & 0.00766619 & 0.0153324 & 0.992334 \tabularnewline
222 & 0.00606536 & 0.0121307 & 0.993935 \tabularnewline
223 & 0.00622335 & 0.0124467 & 0.993777 \tabularnewline
224 & 0.00474201 & 0.00948403 & 0.995258 \tabularnewline
225 & 0.00339294 & 0.00678589 & 0.996607 \tabularnewline
226 & 0.00793817 & 0.0158763 & 0.992062 \tabularnewline
227 & 0.00602088 & 0.0120418 & 0.993979 \tabularnewline
228 & 0.00472987 & 0.00945974 & 0.99527 \tabularnewline
229 & 0.00408785 & 0.0081757 & 0.995912 \tabularnewline
230 & 0.00304158 & 0.00608316 & 0.996958 \tabularnewline
231 & 0.00218559 & 0.00437119 & 0.997814 \tabularnewline
232 & 0.00238951 & 0.00477903 & 0.99761 \tabularnewline
233 & 0.00299831 & 0.00599662 & 0.997002 \tabularnewline
234 & 0.0155049 & 0.0310098 & 0.984495 \tabularnewline
235 & 0.011934 & 0.0238679 & 0.988066 \tabularnewline
236 & 0.00967421 & 0.0193484 & 0.990326 \tabularnewline
237 & 0.179326 & 0.358653 & 0.820674 \tabularnewline
238 & 0.148524 & 0.297049 & 0.851476 \tabularnewline
239 & 0.182249 & 0.364497 & 0.817751 \tabularnewline
240 & 0.184003 & 0.368007 & 0.815997 \tabularnewline
241 & 0.149202 & 0.298405 & 0.850798 \tabularnewline
242 & 0.117082 & 0.234164 & 0.882918 \tabularnewline
243 & 0.118566 & 0.237133 & 0.881434 \tabularnewline
244 & 0.0911884 & 0.182377 & 0.908812 \tabularnewline
245 & 0.101552 & 0.203105 & 0.898448 \tabularnewline
246 & 0.075142 & 0.150284 & 0.924858 \tabularnewline
247 & 0.0614988 & 0.122998 & 0.938501 \tabularnewline
248 & 0.0939347 & 0.187869 & 0.906065 \tabularnewline
249 & 0.0791487 & 0.158297 & 0.920851 \tabularnewline
250 & 0.180896 & 0.361793 & 0.819104 \tabularnewline
251 & 0.168806 & 0.337611 & 0.831194 \tabularnewline
252 & 0.128718 & 0.257436 & 0.871282 \tabularnewline
253 & 0.0884947 & 0.176989 & 0.911505 \tabularnewline
254 & 0.142849 & 0.285698 & 0.857151 \tabularnewline
255 & 0.0930529 & 0.186106 & 0.906947 \tabularnewline
256 & 0.0599852 & 0.11997 & 0.940015 \tabularnewline
257 & 0.64367 & 0.71266 & 0.35633 \tabularnewline
258 & 0.529536 & 0.940928 & 0.470464 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253328&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]6[/C][C]0.632726[/C][C]0.734547[/C][C]0.367274[/C][/ROW]
[ROW][C]7[/C][C]0.786054[/C][C]0.427892[/C][C]0.213946[/C][/ROW]
[ROW][C]8[/C][C]0.67367[/C][C]0.65266[/C][C]0.32633[/C][/ROW]
[ROW][C]9[/C][C]0.570864[/C][C]0.858273[/C][C]0.429136[/C][/ROW]
[ROW][C]10[/C][C]0.456406[/C][C]0.912812[/C][C]0.543594[/C][/ROW]
[ROW][C]11[/C][C]0.398355[/C][C]0.79671[/C][C]0.601645[/C][/ROW]
[ROW][C]12[/C][C]0.30471[/C][C]0.609421[/C][C]0.69529[/C][/ROW]
[ROW][C]13[/C][C]0.229537[/C][C]0.459073[/C][C]0.770463[/C][/ROW]
[ROW][C]14[/C][C]0.163029[/C][C]0.326057[/C][C]0.836971[/C][/ROW]
[ROW][C]15[/C][C]0.152253[/C][C]0.304506[/C][C]0.847747[/C][/ROW]
[ROW][C]16[/C][C]0.126244[/C][C]0.252488[/C][C]0.873756[/C][/ROW]
[ROW][C]17[/C][C]0.0872151[/C][C]0.17443[/C][C]0.912785[/C][/ROW]
[ROW][C]18[/C][C]0.266901[/C][C]0.533801[/C][C]0.733099[/C][/ROW]
[ROW][C]19[/C][C]0.267481[/C][C]0.534962[/C][C]0.732519[/C][/ROW]
[ROW][C]20[/C][C]0.212599[/C][C]0.425198[/C][C]0.787401[/C][/ROW]
[ROW][C]21[/C][C]0.164931[/C][C]0.329863[/C][C]0.835069[/C][/ROW]
[ROW][C]22[/C][C]0.12561[/C][C]0.251221[/C][C]0.87439[/C][/ROW]
[ROW][C]23[/C][C]0.16321[/C][C]0.326421[/C][C]0.83679[/C][/ROW]
[ROW][C]24[/C][C]0.126157[/C][C]0.252314[/C][C]0.873843[/C][/ROW]
[ROW][C]25[/C][C]0.0995463[/C][C]0.199093[/C][C]0.900454[/C][/ROW]
[ROW][C]26[/C][C]0.0757522[/C][C]0.151504[/C][C]0.924248[/C][/ROW]
[ROW][C]27[/C][C]0.0553441[/C][C]0.110688[/C][C]0.944656[/C][/ROW]
[ROW][C]28[/C][C]0.0417586[/C][C]0.0835172[/C][C]0.958241[/C][/ROW]
[ROW][C]29[/C][C]0.0297597[/C][C]0.0595195[/C][C]0.97024[/C][/ROW]
[ROW][C]30[/C][C]0.0275675[/C][C]0.055135[/C][C]0.972432[/C][/ROW]
[ROW][C]31[/C][C]0.0195337[/C][C]0.0390674[/C][C]0.980466[/C][/ROW]
[ROW][C]32[/C][C]0.0242321[/C][C]0.0484643[/C][C]0.975768[/C][/ROW]
[ROW][C]33[/C][C]0.0240009[/C][C]0.0480019[/C][C]0.975999[/C][/ROW]
[ROW][C]34[/C][C]0.0170575[/C][C]0.034115[/C][C]0.982943[/C][/ROW]
[ROW][C]35[/C][C]0.0145253[/C][C]0.0290506[/C][C]0.985475[/C][/ROW]
[ROW][C]36[/C][C]0.0636996[/C][C]0.127399[/C][C]0.9363[/C][/ROW]
[ROW][C]37[/C][C]0.112439[/C][C]0.224877[/C][C]0.887561[/C][/ROW]
[ROW][C]38[/C][C]0.100472[/C][C]0.200943[/C][C]0.899528[/C][/ROW]
[ROW][C]39[/C][C]0.0963085[/C][C]0.192617[/C][C]0.903692[/C][/ROW]
[ROW][C]40[/C][C]0.07808[/C][C]0.15616[/C][C]0.92192[/C][/ROW]
[ROW][C]41[/C][C]0.0613606[/C][C]0.122721[/C][C]0.938639[/C][/ROW]
[ROW][C]42[/C][C]0.0511156[/C][C]0.102231[/C][C]0.948884[/C][/ROW]
[ROW][C]43[/C][C]0.0989792[/C][C]0.197958[/C][C]0.901021[/C][/ROW]
[ROW][C]44[/C][C]0.0861288[/C][C]0.172258[/C][C]0.913871[/C][/ROW]
[ROW][C]45[/C][C]0.0840679[/C][C]0.168136[/C][C]0.915932[/C][/ROW]
[ROW][C]46[/C][C]0.167747[/C][C]0.335494[/C][C]0.832253[/C][/ROW]
[ROW][C]47[/C][C]0.156838[/C][C]0.313677[/C][C]0.843162[/C][/ROW]
[ROW][C]48[/C][C]0.130136[/C][C]0.260272[/C][C]0.869864[/C][/ROW]
[ROW][C]49[/C][C]0.10885[/C][C]0.2177[/C][C]0.89115[/C][/ROW]
[ROW][C]50[/C][C]0.101647[/C][C]0.203294[/C][C]0.898353[/C][/ROW]
[ROW][C]51[/C][C]0.0899874[/C][C]0.179975[/C][C]0.910013[/C][/ROW]
[ROW][C]52[/C][C]0.0735876[/C][C]0.147175[/C][C]0.926412[/C][/ROW]
[ROW][C]53[/C][C]0.0766975[/C][C]0.153395[/C][C]0.923303[/C][/ROW]
[ROW][C]54[/C][C]0.066392[/C][C]0.132784[/C][C]0.933608[/C][/ROW]
[ROW][C]55[/C][C]0.161177[/C][C]0.322353[/C][C]0.838823[/C][/ROW]
[ROW][C]56[/C][C]0.147172[/C][C]0.294344[/C][C]0.852828[/C][/ROW]
[ROW][C]57[/C][C]0.124474[/C][C]0.248948[/C][C]0.875526[/C][/ROW]
[ROW][C]58[/C][C]0.125021[/C][C]0.250041[/C][C]0.874979[/C][/ROW]
[ROW][C]59[/C][C]0.105183[/C][C]0.210367[/C][C]0.894817[/C][/ROW]
[ROW][C]60[/C][C]0.0907063[/C][C]0.181413[/C][C]0.909294[/C][/ROW]
[ROW][C]61[/C][C]0.082904[/C][C]0.165808[/C][C]0.917096[/C][/ROW]
[ROW][C]62[/C][C]0.0685166[/C][C]0.137033[/C][C]0.931483[/C][/ROW]
[ROW][C]63[/C][C]0.0580784[/C][C]0.116157[/C][C]0.941922[/C][/ROW]
[ROW][C]64[/C][C]0.0468647[/C][C]0.0937294[/C][C]0.953135[/C][/ROW]
[ROW][C]65[/C][C]0.0422243[/C][C]0.0844486[/C][C]0.957776[/C][/ROW]
[ROW][C]66[/C][C]0.0392593[/C][C]0.0785185[/C][C]0.960741[/C][/ROW]
[ROW][C]67[/C][C]0.0464185[/C][C]0.0928369[/C][C]0.953582[/C][/ROW]
[ROW][C]68[/C][C]0.0701867[/C][C]0.140373[/C][C]0.929813[/C][/ROW]
[ROW][C]69[/C][C]0.0936335[/C][C]0.187267[/C][C]0.906366[/C][/ROW]
[ROW][C]70[/C][C]0.0814564[/C][C]0.162913[/C][C]0.918544[/C][/ROW]
[ROW][C]71[/C][C]0.17414[/C][C]0.34828[/C][C]0.82586[/C][/ROW]
[ROW][C]72[/C][C]0.150022[/C][C]0.300044[/C][C]0.849978[/C][/ROW]
[ROW][C]73[/C][C]0.164309[/C][C]0.328618[/C][C]0.835691[/C][/ROW]
[ROW][C]74[/C][C]0.17548[/C][C]0.35096[/C][C]0.82452[/C][/ROW]
[ROW][C]75[/C][C]0.154283[/C][C]0.308565[/C][C]0.845717[/C][/ROW]
[ROW][C]76[/C][C]0.139232[/C][C]0.278465[/C][C]0.860768[/C][/ROW]
[ROW][C]77[/C][C]0.122122[/C][C]0.244244[/C][C]0.877878[/C][/ROW]
[ROW][C]78[/C][C]0.109436[/C][C]0.218872[/C][C]0.890564[/C][/ROW]
[ROW][C]79[/C][C]0.0967589[/C][C]0.193518[/C][C]0.903241[/C][/ROW]
[ROW][C]80[/C][C]0.0871847[/C][C]0.174369[/C][C]0.912815[/C][/ROW]
[ROW][C]81[/C][C]0.0763051[/C][C]0.15261[/C][C]0.923695[/C][/ROW]
[ROW][C]82[/C][C]0.0666212[/C][C]0.133242[/C][C]0.933379[/C][/ROW]
[ROW][C]83[/C][C]0.0561399[/C][C]0.11228[/C][C]0.94386[/C][/ROW]
[ROW][C]84[/C][C]0.0467103[/C][C]0.0934206[/C][C]0.95329[/C][/ROW]
[ROW][C]85[/C][C]0.040465[/C][C]0.0809299[/C][C]0.959535[/C][/ROW]
[ROW][C]86[/C][C]0.0369345[/C][C]0.073869[/C][C]0.963065[/C][/ROW]
[ROW][C]87[/C][C]0.0327836[/C][C]0.0655672[/C][C]0.967216[/C][/ROW]
[ROW][C]88[/C][C]0.0340052[/C][C]0.0680105[/C][C]0.965995[/C][/ROW]
[ROW][C]89[/C][C]0.0279026[/C][C]0.0558052[/C][C]0.972097[/C][/ROW]
[ROW][C]90[/C][C]0.0296161[/C][C]0.0592322[/C][C]0.970384[/C][/ROW]
[ROW][C]91[/C][C]0.0315064[/C][C]0.0630127[/C][C]0.968494[/C][/ROW]
[ROW][C]92[/C][C]0.0267151[/C][C]0.0534301[/C][C]0.973285[/C][/ROW]
[ROW][C]93[/C][C]0.0216028[/C][C]0.0432057[/C][C]0.978397[/C][/ROW]
[ROW][C]94[/C][C]0.0186926[/C][C]0.0373852[/C][C]0.981307[/C][/ROW]
[ROW][C]95[/C][C]0.0152573[/C][C]0.0305145[/C][C]0.984743[/C][/ROW]
[ROW][C]96[/C][C]0.0128027[/C][C]0.0256054[/C][C]0.987197[/C][/ROW]
[ROW][C]97[/C][C]0.0106435[/C][C]0.0212869[/C][C]0.989357[/C][/ROW]
[ROW][C]98[/C][C]0.00862393[/C][C]0.0172479[/C][C]0.991376[/C][/ROW]
[ROW][C]99[/C][C]0.00687616[/C][C]0.0137523[/C][C]0.993124[/C][/ROW]
[ROW][C]100[/C][C]0.00555695[/C][C]0.0111139[/C][C]0.994443[/C][/ROW]
[ROW][C]101[/C][C]0.00453949[/C][C]0.00907898[/C][C]0.995461[/C][/ROW]
[ROW][C]102[/C][C]0.0111398[/C][C]0.0222796[/C][C]0.98886[/C][/ROW]
[ROW][C]103[/C][C]0.00907852[/C][C]0.018157[/C][C]0.990921[/C][/ROW]
[ROW][C]104[/C][C]0.00773707[/C][C]0.0154741[/C][C]0.992263[/C][/ROW]
[ROW][C]105[/C][C]0.00868879[/C][C]0.0173776[/C][C]0.991311[/C][/ROW]
[ROW][C]106[/C][C]0.00806424[/C][C]0.0161285[/C][C]0.991936[/C][/ROW]
[ROW][C]107[/C][C]0.00670544[/C][C]0.0134109[/C][C]0.993295[/C][/ROW]
[ROW][C]108[/C][C]0.00614461[/C][C]0.0122892[/C][C]0.993855[/C][/ROW]
[ROW][C]109[/C][C]0.00802319[/C][C]0.0160464[/C][C]0.991977[/C][/ROW]
[ROW][C]110[/C][C]0.0068789[/C][C]0.0137578[/C][C]0.993121[/C][/ROW]
[ROW][C]111[/C][C]0.006149[/C][C]0.012298[/C][C]0.993851[/C][/ROW]
[ROW][C]112[/C][C]0.00594855[/C][C]0.0118971[/C][C]0.994051[/C][/ROW]
[ROW][C]113[/C][C]0.00465[/C][C]0.0093[/C][C]0.99535[/C][/ROW]
[ROW][C]114[/C][C]0.00644501[/C][C]0.01289[/C][C]0.993555[/C][/ROW]
[ROW][C]115[/C][C]0.00724453[/C][C]0.0144891[/C][C]0.992755[/C][/ROW]
[ROW][C]116[/C][C]0.00572964[/C][C]0.0114593[/C][C]0.99427[/C][/ROW]
[ROW][C]117[/C][C]0.00461349[/C][C]0.00922698[/C][C]0.995387[/C][/ROW]
[ROW][C]118[/C][C]0.00409478[/C][C]0.00818955[/C][C]0.995905[/C][/ROW]
[ROW][C]119[/C][C]0.0033571[/C][C]0.0067142[/C][C]0.996643[/C][/ROW]
[ROW][C]120[/C][C]0.00271431[/C][C]0.00542862[/C][C]0.997286[/C][/ROW]
[ROW][C]121[/C][C]0.002416[/C][C]0.00483199[/C][C]0.997584[/C][/ROW]
[ROW][C]122[/C][C]0.00293158[/C][C]0.00586316[/C][C]0.997068[/C][/ROW]
[ROW][C]123[/C][C]0.00245561[/C][C]0.00491122[/C][C]0.997544[/C][/ROW]
[ROW][C]124[/C][C]0.00193892[/C][C]0.00387784[/C][C]0.998061[/C][/ROW]
[ROW][C]125[/C][C]0.00170567[/C][C]0.00341134[/C][C]0.998294[/C][/ROW]
[ROW][C]126[/C][C]0.00141449[/C][C]0.00282899[/C][C]0.998586[/C][/ROW]
[ROW][C]127[/C][C]0.00130219[/C][C]0.00260437[/C][C]0.998698[/C][/ROW]
[ROW][C]128[/C][C]0.00101853[/C][C]0.00203706[/C][C]0.998981[/C][/ROW]
[ROW][C]129[/C][C]0.00121968[/C][C]0.00243935[/C][C]0.99878[/C][/ROW]
[ROW][C]130[/C][C]0.00111252[/C][C]0.00222503[/C][C]0.998887[/C][/ROW]
[ROW][C]131[/C][C]0.00197679[/C][C]0.00395358[/C][C]0.998023[/C][/ROW]
[ROW][C]132[/C][C]0.00166612[/C][C]0.00333225[/C][C]0.998334[/C][/ROW]
[ROW][C]133[/C][C]0.00145977[/C][C]0.00291953[/C][C]0.99854[/C][/ROW]
[ROW][C]134[/C][C]0.00120426[/C][C]0.00240852[/C][C]0.998796[/C][/ROW]
[ROW][C]135[/C][C]0.000940123[/C][C]0.00188025[/C][C]0.99906[/C][/ROW]
[ROW][C]136[/C][C]0.000700778[/C][C]0.00140156[/C][C]0.999299[/C][/ROW]
[ROW][C]137[/C][C]0.000554862[/C][C]0.00110972[/C][C]0.999445[/C][/ROW]
[ROW][C]138[/C][C]0.000601576[/C][C]0.00120315[/C][C]0.999398[/C][/ROW]
[ROW][C]139[/C][C]0.000629666[/C][C]0.00125933[/C][C]0.99937[/C][/ROW]
[ROW][C]140[/C][C]0.000821792[/C][C]0.00164358[/C][C]0.999178[/C][/ROW]
[ROW][C]141[/C][C]0.000871596[/C][C]0.00174319[/C][C]0.999128[/C][/ROW]
[ROW][C]142[/C][C]0.000678148[/C][C]0.0013563[/C][C]0.999322[/C][/ROW]
[ROW][C]143[/C][C]0.000782185[/C][C]0.00156437[/C][C]0.999218[/C][/ROW]
[ROW][C]144[/C][C]0.000725566[/C][C]0.00145113[/C][C]0.999274[/C][/ROW]
[ROW][C]145[/C][C]0.00320936[/C][C]0.00641871[/C][C]0.996791[/C][/ROW]
[ROW][C]146[/C][C]0.00527016[/C][C]0.0105403[/C][C]0.99473[/C][/ROW]
[ROW][C]147[/C][C]0.00447006[/C][C]0.00894012[/C][C]0.99553[/C][/ROW]
[ROW][C]148[/C][C]0.00421488[/C][C]0.00842975[/C][C]0.995785[/C][/ROW]
[ROW][C]149[/C][C]0.00372756[/C][C]0.00745512[/C][C]0.996272[/C][/ROW]
[ROW][C]150[/C][C]0.0100375[/C][C]0.020075[/C][C]0.989962[/C][/ROW]
[ROW][C]151[/C][C]0.00831268[/C][C]0.0166254[/C][C]0.991687[/C][/ROW]
[ROW][C]152[/C][C]0.00781499[/C][C]0.01563[/C][C]0.992185[/C][/ROW]
[ROW][C]153[/C][C]0.00726378[/C][C]0.0145276[/C][C]0.992736[/C][/ROW]
[ROW][C]154[/C][C]0.00593649[/C][C]0.011873[/C][C]0.994064[/C][/ROW]
[ROW][C]155[/C][C]0.0111037[/C][C]0.0222073[/C][C]0.988896[/C][/ROW]
[ROW][C]156[/C][C]0.0139589[/C][C]0.0279178[/C][C]0.986041[/C][/ROW]
[ROW][C]157[/C][C]0.0117704[/C][C]0.0235409[/C][C]0.98823[/C][/ROW]
[ROW][C]158[/C][C]0.00980494[/C][C]0.0196099[/C][C]0.990195[/C][/ROW]
[ROW][C]159[/C][C]0.00896704[/C][C]0.0179341[/C][C]0.991033[/C][/ROW]
[ROW][C]160[/C][C]0.00913568[/C][C]0.0182714[/C][C]0.990864[/C][/ROW]
[ROW][C]161[/C][C]0.00773341[/C][C]0.0154668[/C][C]0.992267[/C][/ROW]
[ROW][C]162[/C][C]0.0061421[/C][C]0.0122842[/C][C]0.993858[/C][/ROW]
[ROW][C]163[/C][C]0.00596261[/C][C]0.0119252[/C][C]0.994037[/C][/ROW]
[ROW][C]164[/C][C]0.00636078[/C][C]0.0127216[/C][C]0.993639[/C][/ROW]
[ROW][C]165[/C][C]0.00531577[/C][C]0.0106315[/C][C]0.994684[/C][/ROW]
[ROW][C]166[/C][C]0.00607577[/C][C]0.0121515[/C][C]0.993924[/C][/ROW]
[ROW][C]167[/C][C]0.00478288[/C][C]0.00956577[/C][C]0.995217[/C][/ROW]
[ROW][C]168[/C][C]0.00491659[/C][C]0.00983317[/C][C]0.995083[/C][/ROW]
[ROW][C]169[/C][C]0.00420462[/C][C]0.00840924[/C][C]0.995795[/C][/ROW]
[ROW][C]170[/C][C]0.00445429[/C][C]0.00890857[/C][C]0.995546[/C][/ROW]
[ROW][C]171[/C][C]0.00419148[/C][C]0.00838297[/C][C]0.995809[/C][/ROW]
[ROW][C]172[/C][C]0.00397621[/C][C]0.00795242[/C][C]0.996024[/C][/ROW]
[ROW][C]173[/C][C]0.00459097[/C][C]0.00918195[/C][C]0.995409[/C][/ROW]
[ROW][C]174[/C][C]0.00850753[/C][C]0.0170151[/C][C]0.991492[/C][/ROW]
[ROW][C]175[/C][C]0.00832361[/C][C]0.0166472[/C][C]0.991676[/C][/ROW]
[ROW][C]176[/C][C]0.00698893[/C][C]0.0139779[/C][C]0.993011[/C][/ROW]
[ROW][C]177[/C][C]0.00679747[/C][C]0.0135949[/C][C]0.993203[/C][/ROW]
[ROW][C]178[/C][C]0.00592378[/C][C]0.0118476[/C][C]0.994076[/C][/ROW]
[ROW][C]179[/C][C]0.00462636[/C][C]0.00925271[/C][C]0.995374[/C][/ROW]
[ROW][C]180[/C][C]0.00468502[/C][C]0.00937004[/C][C]0.995315[/C][/ROW]
[ROW][C]181[/C][C]0.00470062[/C][C]0.00940125[/C][C]0.995299[/C][/ROW]
[ROW][C]182[/C][C]0.00539793[/C][C]0.0107959[/C][C]0.994602[/C][/ROW]
[ROW][C]183[/C][C]0.0154213[/C][C]0.0308425[/C][C]0.984579[/C][/ROW]
[ROW][C]184[/C][C]0.0129959[/C][C]0.0259918[/C][C]0.987004[/C][/ROW]
[ROW][C]185[/C][C]0.0344319[/C][C]0.0688638[/C][C]0.965568[/C][/ROW]
[ROW][C]186[/C][C]0.0338054[/C][C]0.0676109[/C][C]0.966195[/C][/ROW]
[ROW][C]187[/C][C]0.0406569[/C][C]0.0813138[/C][C]0.959343[/C][/ROW]
[ROW][C]188[/C][C]0.0419949[/C][C]0.0839899[/C][C]0.958005[/C][/ROW]
[ROW][C]189[/C][C]0.040176[/C][C]0.0803519[/C][C]0.959824[/C][/ROW]
[ROW][C]190[/C][C]0.0407662[/C][C]0.0815324[/C][C]0.959234[/C][/ROW]
[ROW][C]191[/C][C]0.0347536[/C][C]0.0695072[/C][C]0.965246[/C][/ROW]
[ROW][C]192[/C][C]0.0346282[/C][C]0.0692563[/C][C]0.965372[/C][/ROW]
[ROW][C]193[/C][C]0.0308723[/C][C]0.0617447[/C][C]0.969128[/C][/ROW]
[ROW][C]194[/C][C]0.0325982[/C][C]0.0651963[/C][C]0.967402[/C][/ROW]
[ROW][C]195[/C][C]0.0267201[/C][C]0.0534401[/C][C]0.97328[/C][/ROW]
[ROW][C]196[/C][C]0.0238443[/C][C]0.0476886[/C][C]0.976156[/C][/ROW]
[ROW][C]197[/C][C]0.0236161[/C][C]0.0472323[/C][C]0.976384[/C][/ROW]
[ROW][C]198[/C][C]0.0229737[/C][C]0.0459474[/C][C]0.977026[/C][/ROW]
[ROW][C]199[/C][C]0.0186983[/C][C]0.0373966[/C][C]0.981302[/C][/ROW]
[ROW][C]200[/C][C]0.0192197[/C][C]0.0384395[/C][C]0.98078[/C][/ROW]
[ROW][C]201[/C][C]0.0205133[/C][C]0.0410265[/C][C]0.979487[/C][/ROW]
[ROW][C]202[/C][C]0.0165274[/C][C]0.0330547[/C][C]0.983473[/C][/ROW]
[ROW][C]203[/C][C]0.017487[/C][C]0.0349739[/C][C]0.982513[/C][/ROW]
[ROW][C]204[/C][C]0.0146597[/C][C]0.0293193[/C][C]0.98534[/C][/ROW]
[ROW][C]205[/C][C]0.0128839[/C][C]0.0257677[/C][C]0.987116[/C][/ROW]
[ROW][C]206[/C][C]0.0113296[/C][C]0.0226592[/C][C]0.98867[/C][/ROW]
[ROW][C]207[/C][C]0.0119779[/C][C]0.0239559[/C][C]0.988022[/C][/ROW]
[ROW][C]208[/C][C]0.0138031[/C][C]0.0276062[/C][C]0.986197[/C][/ROW]
[ROW][C]209[/C][C]0.014209[/C][C]0.0284179[/C][C]0.985791[/C][/ROW]
[ROW][C]210[/C][C]0.0126088[/C][C]0.0252176[/C][C]0.987391[/C][/ROW]
[ROW][C]211[/C][C]0.0104977[/C][C]0.0209953[/C][C]0.989502[/C][/ROW]
[ROW][C]212[/C][C]0.00989609[/C][C]0.0197922[/C][C]0.990104[/C][/ROW]
[ROW][C]213[/C][C]0.00877473[/C][C]0.0175495[/C][C]0.991225[/C][/ROW]
[ROW][C]214[/C][C]0.00797399[/C][C]0.015948[/C][C]0.992026[/C][/ROW]
[ROW][C]215[/C][C]0.00914322[/C][C]0.0182864[/C][C]0.990857[/C][/ROW]
[ROW][C]216[/C][C]0.00724615[/C][C]0.0144923[/C][C]0.992754[/C][/ROW]
[ROW][C]217[/C][C]0.0130624[/C][C]0.0261248[/C][C]0.986938[/C][/ROW]
[ROW][C]218[/C][C]0.0116084[/C][C]0.0232169[/C][C]0.988392[/C][/ROW]
[ROW][C]219[/C][C]0.00892563[/C][C]0.0178513[/C][C]0.991074[/C][/ROW]
[ROW][C]220[/C][C]0.00960806[/C][C]0.0192161[/C][C]0.990392[/C][/ROW]
[ROW][C]221[/C][C]0.00766619[/C][C]0.0153324[/C][C]0.992334[/C][/ROW]
[ROW][C]222[/C][C]0.00606536[/C][C]0.0121307[/C][C]0.993935[/C][/ROW]
[ROW][C]223[/C][C]0.00622335[/C][C]0.0124467[/C][C]0.993777[/C][/ROW]
[ROW][C]224[/C][C]0.00474201[/C][C]0.00948403[/C][C]0.995258[/C][/ROW]
[ROW][C]225[/C][C]0.00339294[/C][C]0.00678589[/C][C]0.996607[/C][/ROW]
[ROW][C]226[/C][C]0.00793817[/C][C]0.0158763[/C][C]0.992062[/C][/ROW]
[ROW][C]227[/C][C]0.00602088[/C][C]0.0120418[/C][C]0.993979[/C][/ROW]
[ROW][C]228[/C][C]0.00472987[/C][C]0.00945974[/C][C]0.99527[/C][/ROW]
[ROW][C]229[/C][C]0.00408785[/C][C]0.0081757[/C][C]0.995912[/C][/ROW]
[ROW][C]230[/C][C]0.00304158[/C][C]0.00608316[/C][C]0.996958[/C][/ROW]
[ROW][C]231[/C][C]0.00218559[/C][C]0.00437119[/C][C]0.997814[/C][/ROW]
[ROW][C]232[/C][C]0.00238951[/C][C]0.00477903[/C][C]0.99761[/C][/ROW]
[ROW][C]233[/C][C]0.00299831[/C][C]0.00599662[/C][C]0.997002[/C][/ROW]
[ROW][C]234[/C][C]0.0155049[/C][C]0.0310098[/C][C]0.984495[/C][/ROW]
[ROW][C]235[/C][C]0.011934[/C][C]0.0238679[/C][C]0.988066[/C][/ROW]
[ROW][C]236[/C][C]0.00967421[/C][C]0.0193484[/C][C]0.990326[/C][/ROW]
[ROW][C]237[/C][C]0.179326[/C][C]0.358653[/C][C]0.820674[/C][/ROW]
[ROW][C]238[/C][C]0.148524[/C][C]0.297049[/C][C]0.851476[/C][/ROW]
[ROW][C]239[/C][C]0.182249[/C][C]0.364497[/C][C]0.817751[/C][/ROW]
[ROW][C]240[/C][C]0.184003[/C][C]0.368007[/C][C]0.815997[/C][/ROW]
[ROW][C]241[/C][C]0.149202[/C][C]0.298405[/C][C]0.850798[/C][/ROW]
[ROW][C]242[/C][C]0.117082[/C][C]0.234164[/C][C]0.882918[/C][/ROW]
[ROW][C]243[/C][C]0.118566[/C][C]0.237133[/C][C]0.881434[/C][/ROW]
[ROW][C]244[/C][C]0.0911884[/C][C]0.182377[/C][C]0.908812[/C][/ROW]
[ROW][C]245[/C][C]0.101552[/C][C]0.203105[/C][C]0.898448[/C][/ROW]
[ROW][C]246[/C][C]0.075142[/C][C]0.150284[/C][C]0.924858[/C][/ROW]
[ROW][C]247[/C][C]0.0614988[/C][C]0.122998[/C][C]0.938501[/C][/ROW]
[ROW][C]248[/C][C]0.0939347[/C][C]0.187869[/C][C]0.906065[/C][/ROW]
[ROW][C]249[/C][C]0.0791487[/C][C]0.158297[/C][C]0.920851[/C][/ROW]
[ROW][C]250[/C][C]0.180896[/C][C]0.361793[/C][C]0.819104[/C][/ROW]
[ROW][C]251[/C][C]0.168806[/C][C]0.337611[/C][C]0.831194[/C][/ROW]
[ROW][C]252[/C][C]0.128718[/C][C]0.257436[/C][C]0.871282[/C][/ROW]
[ROW][C]253[/C][C]0.0884947[/C][C]0.176989[/C][C]0.911505[/C][/ROW]
[ROW][C]254[/C][C]0.142849[/C][C]0.285698[/C][C]0.857151[/C][/ROW]
[ROW][C]255[/C][C]0.0930529[/C][C]0.186106[/C][C]0.906947[/C][/ROW]
[ROW][C]256[/C][C]0.0599852[/C][C]0.11997[/C][C]0.940015[/C][/ROW]
[ROW][C]257[/C][C]0.64367[/C][C]0.71266[/C][C]0.35633[/C][/ROW]
[ROW][C]258[/C][C]0.529536[/C][C]0.940928[/C][C]0.470464[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253328&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253328&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
60.6327260.7345470.367274
70.7860540.4278920.213946
80.673670.652660.32633
90.5708640.8582730.429136
100.4564060.9128120.543594
110.3983550.796710.601645
120.304710.6094210.69529
130.2295370.4590730.770463
140.1630290.3260570.836971
150.1522530.3045060.847747
160.1262440.2524880.873756
170.08721510.174430.912785
180.2669010.5338010.733099
190.2674810.5349620.732519
200.2125990.4251980.787401
210.1649310.3298630.835069
220.125610.2512210.87439
230.163210.3264210.83679
240.1261570.2523140.873843
250.09954630.1990930.900454
260.07575220.1515040.924248
270.05534410.1106880.944656
280.04175860.08351720.958241
290.02975970.05951950.97024
300.02756750.0551350.972432
310.01953370.03906740.980466
320.02423210.04846430.975768
330.02400090.04800190.975999
340.01705750.0341150.982943
350.01452530.02905060.985475
360.06369960.1273990.9363
370.1124390.2248770.887561
380.1004720.2009430.899528
390.09630850.1926170.903692
400.078080.156160.92192
410.06136060.1227210.938639
420.05111560.1022310.948884
430.09897920.1979580.901021
440.08612880.1722580.913871
450.08406790.1681360.915932
460.1677470.3354940.832253
470.1568380.3136770.843162
480.1301360.2602720.869864
490.108850.21770.89115
500.1016470.2032940.898353
510.08998740.1799750.910013
520.07358760.1471750.926412
530.07669750.1533950.923303
540.0663920.1327840.933608
550.1611770.3223530.838823
560.1471720.2943440.852828
570.1244740.2489480.875526
580.1250210.2500410.874979
590.1051830.2103670.894817
600.09070630.1814130.909294
610.0829040.1658080.917096
620.06851660.1370330.931483
630.05807840.1161570.941922
640.04686470.09372940.953135
650.04222430.08444860.957776
660.03925930.07851850.960741
670.04641850.09283690.953582
680.07018670.1403730.929813
690.09363350.1872670.906366
700.08145640.1629130.918544
710.174140.348280.82586
720.1500220.3000440.849978
730.1643090.3286180.835691
740.175480.350960.82452
750.1542830.3085650.845717
760.1392320.2784650.860768
770.1221220.2442440.877878
780.1094360.2188720.890564
790.09675890.1935180.903241
800.08718470.1743690.912815
810.07630510.152610.923695
820.06662120.1332420.933379
830.05613990.112280.94386
840.04671030.09342060.95329
850.0404650.08092990.959535
860.03693450.0738690.963065
870.03278360.06556720.967216
880.03400520.06801050.965995
890.02790260.05580520.972097
900.02961610.05923220.970384
910.03150640.06301270.968494
920.02671510.05343010.973285
930.02160280.04320570.978397
940.01869260.03738520.981307
950.01525730.03051450.984743
960.01280270.02560540.987197
970.01064350.02128690.989357
980.008623930.01724790.991376
990.006876160.01375230.993124
1000.005556950.01111390.994443
1010.004539490.009078980.995461
1020.01113980.02227960.98886
1030.009078520.0181570.990921
1040.007737070.01547410.992263
1050.008688790.01737760.991311
1060.008064240.01612850.991936
1070.006705440.01341090.993295
1080.006144610.01228920.993855
1090.008023190.01604640.991977
1100.00687890.01375780.993121
1110.0061490.0122980.993851
1120.005948550.01189710.994051
1130.004650.00930.99535
1140.006445010.012890.993555
1150.007244530.01448910.992755
1160.005729640.01145930.99427
1170.004613490.009226980.995387
1180.004094780.008189550.995905
1190.00335710.00671420.996643
1200.002714310.005428620.997286
1210.0024160.004831990.997584
1220.002931580.005863160.997068
1230.002455610.004911220.997544
1240.001938920.003877840.998061
1250.001705670.003411340.998294
1260.001414490.002828990.998586
1270.001302190.002604370.998698
1280.001018530.002037060.998981
1290.001219680.002439350.99878
1300.001112520.002225030.998887
1310.001976790.003953580.998023
1320.001666120.003332250.998334
1330.001459770.002919530.99854
1340.001204260.002408520.998796
1350.0009401230.001880250.99906
1360.0007007780.001401560.999299
1370.0005548620.001109720.999445
1380.0006015760.001203150.999398
1390.0006296660.001259330.99937
1400.0008217920.001643580.999178
1410.0008715960.001743190.999128
1420.0006781480.00135630.999322
1430.0007821850.001564370.999218
1440.0007255660.001451130.999274
1450.003209360.006418710.996791
1460.005270160.01054030.99473
1470.004470060.008940120.99553
1480.004214880.008429750.995785
1490.003727560.007455120.996272
1500.01003750.0200750.989962
1510.008312680.01662540.991687
1520.007814990.015630.992185
1530.007263780.01452760.992736
1540.005936490.0118730.994064
1550.01110370.02220730.988896
1560.01395890.02791780.986041
1570.01177040.02354090.98823
1580.009804940.01960990.990195
1590.008967040.01793410.991033
1600.009135680.01827140.990864
1610.007733410.01546680.992267
1620.00614210.01228420.993858
1630.005962610.01192520.994037
1640.006360780.01272160.993639
1650.005315770.01063150.994684
1660.006075770.01215150.993924
1670.004782880.009565770.995217
1680.004916590.009833170.995083
1690.004204620.008409240.995795
1700.004454290.008908570.995546
1710.004191480.008382970.995809
1720.003976210.007952420.996024
1730.004590970.009181950.995409
1740.008507530.01701510.991492
1750.008323610.01664720.991676
1760.006988930.01397790.993011
1770.006797470.01359490.993203
1780.005923780.01184760.994076
1790.004626360.009252710.995374
1800.004685020.009370040.995315
1810.004700620.009401250.995299
1820.005397930.01079590.994602
1830.01542130.03084250.984579
1840.01299590.02599180.987004
1850.03443190.06886380.965568
1860.03380540.06761090.966195
1870.04065690.08131380.959343
1880.04199490.08398990.958005
1890.0401760.08035190.959824
1900.04076620.08153240.959234
1910.03475360.06950720.965246
1920.03462820.06925630.965372
1930.03087230.06174470.969128
1940.03259820.06519630.967402
1950.02672010.05344010.97328
1960.02384430.04768860.976156
1970.02361610.04723230.976384
1980.02297370.04594740.977026
1990.01869830.03739660.981302
2000.01921970.03843950.98078
2010.02051330.04102650.979487
2020.01652740.03305470.983473
2030.0174870.03497390.982513
2040.01465970.02931930.98534
2050.01288390.02576770.987116
2060.01132960.02265920.98867
2070.01197790.02395590.988022
2080.01380310.02760620.986197
2090.0142090.02841790.985791
2100.01260880.02521760.987391
2110.01049770.02099530.989502
2120.009896090.01979220.990104
2130.008774730.01754950.991225
2140.007973990.0159480.992026
2150.009143220.01828640.990857
2160.007246150.01449230.992754
2170.01306240.02612480.986938
2180.01160840.02321690.988392
2190.008925630.01785130.991074
2200.009608060.01921610.990392
2210.007666190.01533240.992334
2220.006065360.01213070.993935
2230.006223350.01244670.993777
2240.004742010.009484030.995258
2250.003392940.006785890.996607
2260.007938170.01587630.992062
2270.006020880.01204180.993979
2280.004729870.009459740.99527
2290.004087850.00817570.995912
2300.003041580.006083160.996958
2310.002185590.004371190.997814
2320.002389510.004779030.99761
2330.002998310.005996620.997002
2340.01550490.03100980.984495
2350.0119340.02386790.988066
2360.009674210.01934840.990326
2370.1793260.3586530.820674
2380.1485240.2970490.851476
2390.1822490.3644970.817751
2400.1840030.3680070.815997
2410.1492020.2984050.850798
2420.1170820.2341640.882918
2430.1185660.2371330.881434
2440.09118840.1823770.908812
2450.1015520.2031050.898448
2460.0751420.1502840.924858
2470.06149880.1229980.938501
2480.09393470.1878690.906065
2490.07914870.1582970.920851
2500.1808960.3617930.819104
2510.1688060.3376110.831194
2520.1287180.2574360.871282
2530.08849470.1769890.911505
2540.1428490.2856980.857151
2550.09305290.1861060.906947
2560.05998520.119970.940015
2570.643670.712660.35633
2580.5295360.9409280.470464






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level520.205534NOK
5% type I error level1380.545455NOK
10% type I error level1650.652174NOK

\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 & 52 & 0.205534 & NOK \tabularnewline
5% type I error level & 138 & 0.545455 & NOK \tabularnewline
10% type I error level & 165 & 0.652174 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253328&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]52[/C][C]0.205534[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]138[/C][C]0.545455[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]165[/C][C]0.652174[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253328&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253328&T=6

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


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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level520.205534NOK
5% type I error level1380.545455NOK
10% type I error level1650.652174NOK


Figures (Output of Computation)

Figure 1
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 2
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 3
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 4
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 5
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 6
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 7
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 8
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 9
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 10
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
R code (references can be found in the software module):
library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, signif(mysum$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')
}