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 computationSun, 14 Dec 2014 19:26:22 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/14/t1418585643vht31mm3p9tpz58.htm/, Retrieved Sun, 12 May 2024 17:48:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=267831, Retrieved Sun, 12 May 2024 17:48:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact128

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Monthly US soldie...] [2010-11-02 12:07:39] [b98453cac15ba1066b407e146608df68]
- RMP   [Classical Decomposition] [Soldiers] [2010-11-30 14:03:31] [b98453cac15ba1066b407e146608df68]
- RM      [Classical Decomposition] [WS8 CD] [2014-11-19 16:56:27] [46c7ebd23dbdec306a09830d8b7528e7]
- RMPD        [Multiple Regression] [P MR motver] [2014-12-14 19:26:22] [9772ee27deeac3d50cc1fb84835cd7d6] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
26 50 4 13
57 62 4 8
37 54 5 14
67 71 4 16
43 54 4 14
52 65 9 13
52 73 8 15
43 52 11 13
84 84 4 20
67 42 4 17
49 66 6 15
70 65 4 16
52 78 8 12
58 73 4 17
68 75 4 11
62 72 11 16
43 66 4 16
56 70 4 15
56 61 6 13
74 81 6 14
65 71 4 19
63 69 8 16
58 71 5 17
57 72 4 10
63 68 9 15
53 70 4 14
57 68 7 14
51 61 10 16
64 67 4 15
53 76 4 17
29 70 7 14
54 60 12 16
58 72 7 15
43 69 5 16
51 71 8 16
53 62 5 10
54 70 4 8
56 64 9 17
61 58 7 14
47 76 4 10
39 52 4 14
48 59 4 12
50 68 4 16
35 76 4 16
30 65 7 16
68 67 4 8
49 59 7 16
61 69 4 15
67 76 4 8
47 63 4 13
56 75 4 14
50 63 8 13
43 60 4 16
67 73 4 19
62 63 4 19
57 70 4 14
41 75 7 15
54 66 12 13
45 63 4 10
48 63 4 16
61 64 4 15
56 70 5 11
41 75 15 9
43 61 5 16
53 60 10 12
44 62 9 12
66 73 8 14
58 61 4 14
46 66 5 13
37 64 4 15
51 59 9 17
51 64 4 14
56 60 10 11
66 56 4 9
37 78 4 7
59 53 6 13
42 67 7 15
38 59 5 12
66 66 4 15
34 68 4 14
53 71 4 16
49 66 4 14
55 73 4 13
49 72 4 16
59 71 6 13
40 59 10 16
58 64 7 16
60 66 4 16
63 78 4 10
56 68 7 12
54 73 4 12
52 62 8 12
34 65 11 12
69 68 6 19
32 65 14 14
48 60 5 13
67 71 4 16
58 65 8 15
57 68 9 12
42 64 4 8
64 74 4 10
58 69 5 16
66 76 4 16
26 68 5 10
61 72 4 18
52 67 4 12
51 63 7 16
55 59 10 10
50 73 4 14
60 66 5 12
56 62 4 11
63 69 4 15
61 66 4 7
52 51 6 16
16 56 4 16
46 67 8 16
56 69 5 16
52 57 4 12
55 56 17 15
50 55 4 14
59 63 4 15
60 67 8 16
52 65 4 13
44 47 7 10
67 76 4 17
52 64 4 15
55 68 5 18
37 64 7 16
54 65 4 20
72 71 4 16
51 63 7 17
48 60 11 16
60 68 7 15
50 72 4 13
63 70 4 16
33 61 4 16
67 61 4 16
46 62 4 17
54 71 4 20
59 71 6 14
61 51 8 17
33 56 23 6
47 70 4 16
69 73 8 15
52 76 6 16
55 68 4 16
41 48 7 14
73 52 4 16
52 60 4 16
50 59 4 16
51 57 10 14
60 79 6 14
56 60 5 16
56 60 5 16
29 59 4 15
66 62 4 16
66 59 5 16
73 61 5 18
55 71 5 15
64 57 5 16
40 66 4 16
46 63 6 16
58 69 4 17
43 58 4 14
61 59 4 18
51 48 9 9
50 66 18 15
52 73 6 14
54 67 5 15
66 61 4 13
61 68 11 16
80 75 4 20
51 62 10 14
56 69 6 12
56 58 8 15
56 60 8 15
53 74 6 15
47 55 8 16
25 62 4 11
47 63 4 16
46 69 9 7
50 58 9 11
39 58 5 9
51 68 4 15
58 72 4 16
35 62 15 14
58 62 10 15
60 65 9 13
62 69 7 13
63 66 9 12
53 72 6 16
46 62 4 14
67 75 7 16
59 58 4 14
64 66 7 15
38 55 4 10
50 47 15 16
48 72 4 14
48 62 9 16
47 64 4 12
66 64 4 16
47 19 28 16
63 50 4 15
58 68 4 14
44 70 4 16
51 79 5 11
43 69 4 15
55 71 4 18
38 48 12 13
45 73 4 7
50 74 6 7
54 66 6 17
57 71 5 18
60 74 4 15
55 78 4 8
56 75 4 13
49 53 10 13
37 60 7 15
59 70 4 18
46 69 7 16
51 65 4 14
58 78 4 15
64 78 12 19
53 59 5 16
48 72 8 12
51 70 6 16
47 63 17 11
59 63 4 16
62 71 5 15
62 74 4 19
51 67 5 15
64 66 5 14
52 62 6 14
67 80 4 17
50 73 4 16
54 67 4 20
58 61 6 16
56 73 8 9
63 74 10 13
31 32 4 15
65 69 5 19
71 69 4 16
50 84 4 17
57 64 4 16
47 58 16 9
47 59 7 11
57 78 4 14
43 57 4 19
41 60 14 13
63 68 5 14
63 68 5 15
56 73 5 15
51 69 5 14
50 67 7 16
22 60 19 17
41 65 16 12
59 66 4 15
56 74 4 17
66 81 7 15
53 72 9 10
42 55 5 16
52 49 14 15
54 74 4 11
44 53 16 16
62 64 10 16
53 65 5 16
50 57 6 14
36 51 4 14
76 80 4 16
66 67 4 16
62 70 5 18
59 74 4 14
47 75 4 20
55 70 5 15
58 69 4 16
60 65 4 16
44 55 5 16
57 71 8 12
45 65 15 8

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=267831&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=267831&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267831&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
CONFSTATTOT[t] = + 13.7572 + 0.0608265AMS.I[t] -0.0299244AMS.E[t] -0.104013AMS.A[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
CONFSTATTOT[t] =  +  13.7572 +  0.0608265AMS.I[t] -0.0299244AMS.E[t] -0.104013AMS.A[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267831&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]CONFSTATTOT[t] =  +  13.7572 +  0.0608265AMS.I[t] -0.0299244AMS.E[t] -0.104013AMS.A[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267831&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267831&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
CONFSTATTOT[t] = + 13.7572 + 0.0608265AMS.I[t] -0.0299244AMS.E[t] -0.104013AMS.A[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)13.75721.571318.7552.11064e-161.05532e-16
AMS.I0.06082650.01660053.6640.0002977110.000148855
AMS.E-0.02992440.0215492-1.3890.1660610.0830304
AMS.A-0.1040130.0490098-2.1220.03470680.0173534

\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) & 13.7572 & 1.57131 & 8.755 & 2.11064e-16 & 1.05532e-16 \tabularnewline
AMS.I & 0.0608265 & 0.0166005 & 3.664 & 0.000297711 & 0.000148855 \tabularnewline
AMS.E & -0.0299244 & 0.0215492 & -1.389 & 0.166061 & 0.0830304 \tabularnewline
AMS.A & -0.104013 & 0.0490098 & -2.122 & 0.0347068 & 0.0173534 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267831&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]13.7572[/C][C]1.57131[/C][C]8.755[/C][C]2.11064e-16[/C][C]1.05532e-16[/C][/ROW]
[ROW][C]AMS.I[/C][C]0.0608265[/C][C]0.0166005[/C][C]3.664[/C][C]0.000297711[/C][C]0.000148855[/C][/ROW]
[ROW][C]AMS.E[/C][C]-0.0299244[/C][C]0.0215492[/C][C]-1.389[/C][C]0.166061[/C][C]0.0830304[/C][/ROW]
[ROW][C]AMS.A[/C][C]-0.104013[/C][C]0.0490098[/C][C]-2.122[/C][C]0.0347068[/C][C]0.0173534[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267831&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267831&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)13.75721.571318.7552.11064e-161.05532e-16
AMS.I0.06082650.01660053.6640.0002977110.000148855
AMS.E-0.02992440.0215492-1.3890.1660610.0830304
AMS.A-0.1040130.0490098-2.1220.03470680.0173534






Multiple Linear Regression - Regression Statistics
Multiple R0.264252
R-squared0.0698289
Adjusted R-squared0.0596815
F-TEST (value)6.88151
F-TEST (DF numerator)3
F-TEST (DF denominator)275
p-value0.000174484
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.651
Sum Squared Residuals1932.64

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.264252 \tabularnewline
R-squared & 0.0698289 \tabularnewline
Adjusted R-squared & 0.0596815 \tabularnewline
F-TEST (value) & 6.88151 \tabularnewline
F-TEST (DF numerator) & 3 \tabularnewline
F-TEST (DF denominator) & 275 \tabularnewline
p-value & 0.000174484 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.651 \tabularnewline
Sum Squared Residuals & 1932.64 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267831&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.264252[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0698289[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.0596815[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]6.88151[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]3[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]275[/C][/ROW]
[ROW][C]p-value[/C][C]0.000174484[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.651[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1932.64[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267831&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267831&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 R0.264252
R-squared0.0698289
Adjusted R-squared0.0596815
F-TEST (value)6.88151
F-TEST (DF numerator)3
F-TEST (DF denominator)275
p-value0.000174484
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.651
Sum Squared Residuals1932.64






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11313.4264-0.426437
2814.953-6.95297
31413.87180.128182
41615.29190.708087
51414.3408-0.34079
61314.039-1.039
71513.90361.09639
81313.6725-0.672547
92015.93694.06305
101716.15970.84028
111514.13860.861369
121615.65390.346061
131213.754-1.75399
141714.68462.31537
151115.233-4.23304
161614.22981.77024
171613.98172.0183
181514.65270.347255
191314.714-1.71404
201415.2104-1.21043
211915.17033.82974
221614.69241.3076
231714.64052.35954
241014.6537-4.65372
251514.61830.381686
261414.4703-0.470266
271414.4614-0.461381
281613.99392.00615
291515.2291-0.229131
301714.29072.70928
311412.69841.30161
321613.99822.00177
331514.40250.59749
341613.78792.21209
351613.90262.09736
361014.6056-4.60565
37814.5311-6.53109
381714.31222.68777
391415.0039-1.00393
401013.9258-3.92576
411414.1573-0.157333
421214.4953-2.4953
431614.34761.65237
441613.19582.80416
451612.90883.09116
46815.4724-7.47244
471614.24411.75591
481514.98680.0131975
49815.1423-7.14229
501314.3148-1.31478
511414.5031-0.503124
521314.0812-1.0812
531614.16121.83876
541915.23213.76794
551915.22723.77282
561414.7136-0.713572
571513.27871.72131
581313.8187-0.818684
591014.1931-4.19312
601614.37561.6244
611515.1364-0.136424
621114.5487-3.54873
63912.4466-3.44658
641614.02731.97269
651214.1454-2.14543
661213.6422-1.64216
671414.7552-0.755185
681415.0437-1.04372
691314.0602-1.06016
701513.67661.32341
711714.15772.84229
721414.5282-0.528159
731114.3279-3.32791
74915.68-6.67995
75713.2576-6.25765
761315.1359-2.13591
771513.57891.42109
781213.783-1.78302
791515.3807-0.380708
801413.37440.62559
811614.44031.55966
821414.3467-0.346657
831314.5021-1.50215
841614.16711.83289
851314.5973-1.59727
861613.38462.61539
871614.64191.35809
881615.01570.984251
891014.8391-4.83914
901214.4006-2.40055
911214.4413-2.44132
921214.2328-2.23278
931212.7361-0.736091
941915.29533.70469
951412.30241.6976
961314.3614-1.36136
971615.29190.708087
981514.5080.492032
991214.2534-2.25335
100813.9807-5.98072
1011015.0197-5.01966
1021614.70031.29969
1031615.08150.918535
1041012.7838-2.78378
1051814.8973.10297
1061214.4992-2.49921
1071614.2461.75396
1081014.297-4.29701
1091414.198-0.198013
1101214.9117-2.91174
1111114.8921-3.89214
1121515.1085-0.108456
113715.0766-8.07658
1141614.771.23002
1151612.63863.36137
1161613.71822.2818
1171614.57871.42134
1181214.7985-2.79846
1191513.65871.34131
1201414.7367-0.736652
1211515.0447-0.0446957
1221614.56981.43023
1231314.5591-1.55906
1241014.299-4.29905
1251715.14231.85771
1261514.5890.411014
1271814.54783.45225
1281613.36452.63545
1292014.68075.31929
1301615.5960.403954
1311714.2462.75396
1321613.73732.26272
1331514.64390.356139
1341314.2279-1.22794
1351615.07850.921469
1361613.52312.47695
1371615.59120.408843
1381714.28392.71612
1392014.50125.49883
1401414.5973-0.597274
1411715.10941.89061
142611.6964-5.69643
1431614.10531.89469
1441514.93770.0623355
1451614.02191.97813
1461614.65181.34823
1471414.0866-0.0866439
1481616.2254-0.225435
1491614.70871.29132
1501614.6171.38305
1511414.1136-0.11355
1521414.4187-0.418706
1531614.8481.15202
1541614.8481.15202
1551513.33961.6604
1561615.50040.499594
1571615.48620.513834
1581815.85212.1479
1591514.4580.542019
1601615.42440.575639
1611613.79922.20078
1621614.04591.95408
1631714.80432.19568
1641414.2211-0.221093
1651815.2862.71395
166914.4869-5.48688
1671512.95132.0487
1681414.1116-0.11164
1691514.51690.483148
1701315.5303-2.53033
1711614.28861.71137
1722015.9634.03704
1731413.96390.0360716
1741214.4746-2.47464
1751514.59580.404215
1761514.53590.464064
1771514.14250.857458
1781614.13811.86188
1791113.0065-2.00652
1801614.31481.68522
181713.5543-6.55434
1821114.1268-3.12681
183913.8738-4.87377
1841514.40850.591539
1851614.71451.28545
1861412.47061.52936
1871514.38970.610286
1881314.5256-1.52561
1891314.7356-1.73559
1901214.6782-2.67816
1911614.20241.79761
1921414.2839-0.283875
1931614.86021.13982
1941415.1943-1.19432
1951514.9470.0529844
1961014.0067-4.00673
1971613.83192.1681
1981414.1063-0.106284
1991613.88552.11454
2001214.2849-2.28485
2011615.44060.559443
2021613.13512.86487
2031515.677-0.677019
2041414.8342-0.834247
2051613.92282.07717
2061113.9753-2.97528
2071513.89191.10808
2081814.5623.43801
2091313.3841-0.384098
210713.8939-6.89388
211713.9601-6.96006
2121714.44282.55724
2131814.57963.42037
2141514.77640.223646
215814.3525-6.35252
2161314.5031-1.50312
2171314.1116-1.11159
2181513.48421.51575
2191814.83523.16477
2201613.76242.23764
2211414.4982-0.498235
2221514.5350.464996
2231914.06794.93214
2241614.69541.30458
2251213.6902-1.69023
2261614.14061.85941
2271112.9626-1.96261
2281615.04470.955304
2291514.88380.116233
2301914.8984.10199
2311514.33440.665627
2321415.155-1.15504
2331414.4408-0.440808
2341715.02261.97741
2351614.1981.80199
2362014.62095.37913
2371614.83571.16431
238914.1469-5.14692
2391314.3348-1.33475
2401514.26920.730792
2411915.12613.8739
2421615.59510.404932
2431713.86883.13115
2441614.89311.10688
245913.2162-4.21624
2461114.1224-3.12244
2471414.4742-0.474177
2481914.2514.74898
2491312.99950.000541141
2501415.0344-1.03437
2511515.0344-0.0343668
2521514.4590.541041
2531414.2745-0.274524
2541614.06551.93448
2551711.32375.67631
2561212.6418-0.641811
2571514.95490.0450774
2581714.5332.46695
2591514.61980.380197
2601013.8904-3.89035
2611614.1461.85397
2621513.99771.00228
2631114.4114-3.41139
2641613.18342.81662
2651614.57321.42683
2661614.51591.48413
2671414.4688-0.468777
2681414.0048-0.00477771
2691615.570.429967
2701615.35080.649216
2711814.91373.08631
2721414.7155-0.715528
2732013.95576.04432
2741514.48790.512094
2751614.80431.19568
2761615.04570.954327
2771614.26771.73232
2781214.2676-2.26759
279812.9891-4.98913

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 13 & 13.4264 & -0.426437 \tabularnewline
2 & 8 & 14.953 & -6.95297 \tabularnewline
3 & 14 & 13.8718 & 0.128182 \tabularnewline
4 & 16 & 15.2919 & 0.708087 \tabularnewline
5 & 14 & 14.3408 & -0.34079 \tabularnewline
6 & 13 & 14.039 & -1.039 \tabularnewline
7 & 15 & 13.9036 & 1.09639 \tabularnewline
8 & 13 & 13.6725 & -0.672547 \tabularnewline
9 & 20 & 15.9369 & 4.06305 \tabularnewline
10 & 17 & 16.1597 & 0.84028 \tabularnewline
11 & 15 & 14.1386 & 0.861369 \tabularnewline
12 & 16 & 15.6539 & 0.346061 \tabularnewline
13 & 12 & 13.754 & -1.75399 \tabularnewline
14 & 17 & 14.6846 & 2.31537 \tabularnewline
15 & 11 & 15.233 & -4.23304 \tabularnewline
16 & 16 & 14.2298 & 1.77024 \tabularnewline
17 & 16 & 13.9817 & 2.0183 \tabularnewline
18 & 15 & 14.6527 & 0.347255 \tabularnewline
19 & 13 & 14.714 & -1.71404 \tabularnewline
20 & 14 & 15.2104 & -1.21043 \tabularnewline
21 & 19 & 15.1703 & 3.82974 \tabularnewline
22 & 16 & 14.6924 & 1.3076 \tabularnewline
23 & 17 & 14.6405 & 2.35954 \tabularnewline
24 & 10 & 14.6537 & -4.65372 \tabularnewline
25 & 15 & 14.6183 & 0.381686 \tabularnewline
26 & 14 & 14.4703 & -0.470266 \tabularnewline
27 & 14 & 14.4614 & -0.461381 \tabularnewline
28 & 16 & 13.9939 & 2.00615 \tabularnewline
29 & 15 & 15.2291 & -0.229131 \tabularnewline
30 & 17 & 14.2907 & 2.70928 \tabularnewline
31 & 14 & 12.6984 & 1.30161 \tabularnewline
32 & 16 & 13.9982 & 2.00177 \tabularnewline
33 & 15 & 14.4025 & 0.59749 \tabularnewline
34 & 16 & 13.7879 & 2.21209 \tabularnewline
35 & 16 & 13.9026 & 2.09736 \tabularnewline
36 & 10 & 14.6056 & -4.60565 \tabularnewline
37 & 8 & 14.5311 & -6.53109 \tabularnewline
38 & 17 & 14.3122 & 2.68777 \tabularnewline
39 & 14 & 15.0039 & -1.00393 \tabularnewline
40 & 10 & 13.9258 & -3.92576 \tabularnewline
41 & 14 & 14.1573 & -0.157333 \tabularnewline
42 & 12 & 14.4953 & -2.4953 \tabularnewline
43 & 16 & 14.3476 & 1.65237 \tabularnewline
44 & 16 & 13.1958 & 2.80416 \tabularnewline
45 & 16 & 12.9088 & 3.09116 \tabularnewline
46 & 8 & 15.4724 & -7.47244 \tabularnewline
47 & 16 & 14.2441 & 1.75591 \tabularnewline
48 & 15 & 14.9868 & 0.0131975 \tabularnewline
49 & 8 & 15.1423 & -7.14229 \tabularnewline
50 & 13 & 14.3148 & -1.31478 \tabularnewline
51 & 14 & 14.5031 & -0.503124 \tabularnewline
52 & 13 & 14.0812 & -1.0812 \tabularnewline
53 & 16 & 14.1612 & 1.83876 \tabularnewline
54 & 19 & 15.2321 & 3.76794 \tabularnewline
55 & 19 & 15.2272 & 3.77282 \tabularnewline
56 & 14 & 14.7136 & -0.713572 \tabularnewline
57 & 15 & 13.2787 & 1.72131 \tabularnewline
58 & 13 & 13.8187 & -0.818684 \tabularnewline
59 & 10 & 14.1931 & -4.19312 \tabularnewline
60 & 16 & 14.3756 & 1.6244 \tabularnewline
61 & 15 & 15.1364 & -0.136424 \tabularnewline
62 & 11 & 14.5487 & -3.54873 \tabularnewline
63 & 9 & 12.4466 & -3.44658 \tabularnewline
64 & 16 & 14.0273 & 1.97269 \tabularnewline
65 & 12 & 14.1454 & -2.14543 \tabularnewline
66 & 12 & 13.6422 & -1.64216 \tabularnewline
67 & 14 & 14.7552 & -0.755185 \tabularnewline
68 & 14 & 15.0437 & -1.04372 \tabularnewline
69 & 13 & 14.0602 & -1.06016 \tabularnewline
70 & 15 & 13.6766 & 1.32341 \tabularnewline
71 & 17 & 14.1577 & 2.84229 \tabularnewline
72 & 14 & 14.5282 & -0.528159 \tabularnewline
73 & 11 & 14.3279 & -3.32791 \tabularnewline
74 & 9 & 15.68 & -6.67995 \tabularnewline
75 & 7 & 13.2576 & -6.25765 \tabularnewline
76 & 13 & 15.1359 & -2.13591 \tabularnewline
77 & 15 & 13.5789 & 1.42109 \tabularnewline
78 & 12 & 13.783 & -1.78302 \tabularnewline
79 & 15 & 15.3807 & -0.380708 \tabularnewline
80 & 14 & 13.3744 & 0.62559 \tabularnewline
81 & 16 & 14.4403 & 1.55966 \tabularnewline
82 & 14 & 14.3467 & -0.346657 \tabularnewline
83 & 13 & 14.5021 & -1.50215 \tabularnewline
84 & 16 & 14.1671 & 1.83289 \tabularnewline
85 & 13 & 14.5973 & -1.59727 \tabularnewline
86 & 16 & 13.3846 & 2.61539 \tabularnewline
87 & 16 & 14.6419 & 1.35809 \tabularnewline
88 & 16 & 15.0157 & 0.984251 \tabularnewline
89 & 10 & 14.8391 & -4.83914 \tabularnewline
90 & 12 & 14.4006 & -2.40055 \tabularnewline
91 & 12 & 14.4413 & -2.44132 \tabularnewline
92 & 12 & 14.2328 & -2.23278 \tabularnewline
93 & 12 & 12.7361 & -0.736091 \tabularnewline
94 & 19 & 15.2953 & 3.70469 \tabularnewline
95 & 14 & 12.3024 & 1.6976 \tabularnewline
96 & 13 & 14.3614 & -1.36136 \tabularnewline
97 & 16 & 15.2919 & 0.708087 \tabularnewline
98 & 15 & 14.508 & 0.492032 \tabularnewline
99 & 12 & 14.2534 & -2.25335 \tabularnewline
100 & 8 & 13.9807 & -5.98072 \tabularnewline
101 & 10 & 15.0197 & -5.01966 \tabularnewline
102 & 16 & 14.7003 & 1.29969 \tabularnewline
103 & 16 & 15.0815 & 0.918535 \tabularnewline
104 & 10 & 12.7838 & -2.78378 \tabularnewline
105 & 18 & 14.897 & 3.10297 \tabularnewline
106 & 12 & 14.4992 & -2.49921 \tabularnewline
107 & 16 & 14.246 & 1.75396 \tabularnewline
108 & 10 & 14.297 & -4.29701 \tabularnewline
109 & 14 & 14.198 & -0.198013 \tabularnewline
110 & 12 & 14.9117 & -2.91174 \tabularnewline
111 & 11 & 14.8921 & -3.89214 \tabularnewline
112 & 15 & 15.1085 & -0.108456 \tabularnewline
113 & 7 & 15.0766 & -8.07658 \tabularnewline
114 & 16 & 14.77 & 1.23002 \tabularnewline
115 & 16 & 12.6386 & 3.36137 \tabularnewline
116 & 16 & 13.7182 & 2.2818 \tabularnewline
117 & 16 & 14.5787 & 1.42134 \tabularnewline
118 & 12 & 14.7985 & -2.79846 \tabularnewline
119 & 15 & 13.6587 & 1.34131 \tabularnewline
120 & 14 & 14.7367 & -0.736652 \tabularnewline
121 & 15 & 15.0447 & -0.0446957 \tabularnewline
122 & 16 & 14.5698 & 1.43023 \tabularnewline
123 & 13 & 14.5591 & -1.55906 \tabularnewline
124 & 10 & 14.299 & -4.29905 \tabularnewline
125 & 17 & 15.1423 & 1.85771 \tabularnewline
126 & 15 & 14.589 & 0.411014 \tabularnewline
127 & 18 & 14.5478 & 3.45225 \tabularnewline
128 & 16 & 13.3645 & 2.63545 \tabularnewline
129 & 20 & 14.6807 & 5.31929 \tabularnewline
130 & 16 & 15.596 & 0.403954 \tabularnewline
131 & 17 & 14.246 & 2.75396 \tabularnewline
132 & 16 & 13.7373 & 2.26272 \tabularnewline
133 & 15 & 14.6439 & 0.356139 \tabularnewline
134 & 13 & 14.2279 & -1.22794 \tabularnewline
135 & 16 & 15.0785 & 0.921469 \tabularnewline
136 & 16 & 13.5231 & 2.47695 \tabularnewline
137 & 16 & 15.5912 & 0.408843 \tabularnewline
138 & 17 & 14.2839 & 2.71612 \tabularnewline
139 & 20 & 14.5012 & 5.49883 \tabularnewline
140 & 14 & 14.5973 & -0.597274 \tabularnewline
141 & 17 & 15.1094 & 1.89061 \tabularnewline
142 & 6 & 11.6964 & -5.69643 \tabularnewline
143 & 16 & 14.1053 & 1.89469 \tabularnewline
144 & 15 & 14.9377 & 0.0623355 \tabularnewline
145 & 16 & 14.0219 & 1.97813 \tabularnewline
146 & 16 & 14.6518 & 1.34823 \tabularnewline
147 & 14 & 14.0866 & -0.0866439 \tabularnewline
148 & 16 & 16.2254 & -0.225435 \tabularnewline
149 & 16 & 14.7087 & 1.29132 \tabularnewline
150 & 16 & 14.617 & 1.38305 \tabularnewline
151 & 14 & 14.1136 & -0.11355 \tabularnewline
152 & 14 & 14.4187 & -0.418706 \tabularnewline
153 & 16 & 14.848 & 1.15202 \tabularnewline
154 & 16 & 14.848 & 1.15202 \tabularnewline
155 & 15 & 13.3396 & 1.6604 \tabularnewline
156 & 16 & 15.5004 & 0.499594 \tabularnewline
157 & 16 & 15.4862 & 0.513834 \tabularnewline
158 & 18 & 15.8521 & 2.1479 \tabularnewline
159 & 15 & 14.458 & 0.542019 \tabularnewline
160 & 16 & 15.4244 & 0.575639 \tabularnewline
161 & 16 & 13.7992 & 2.20078 \tabularnewline
162 & 16 & 14.0459 & 1.95408 \tabularnewline
163 & 17 & 14.8043 & 2.19568 \tabularnewline
164 & 14 & 14.2211 & -0.221093 \tabularnewline
165 & 18 & 15.286 & 2.71395 \tabularnewline
166 & 9 & 14.4869 & -5.48688 \tabularnewline
167 & 15 & 12.9513 & 2.0487 \tabularnewline
168 & 14 & 14.1116 & -0.11164 \tabularnewline
169 & 15 & 14.5169 & 0.483148 \tabularnewline
170 & 13 & 15.5303 & -2.53033 \tabularnewline
171 & 16 & 14.2886 & 1.71137 \tabularnewline
172 & 20 & 15.963 & 4.03704 \tabularnewline
173 & 14 & 13.9639 & 0.0360716 \tabularnewline
174 & 12 & 14.4746 & -2.47464 \tabularnewline
175 & 15 & 14.5958 & 0.404215 \tabularnewline
176 & 15 & 14.5359 & 0.464064 \tabularnewline
177 & 15 & 14.1425 & 0.857458 \tabularnewline
178 & 16 & 14.1381 & 1.86188 \tabularnewline
179 & 11 & 13.0065 & -2.00652 \tabularnewline
180 & 16 & 14.3148 & 1.68522 \tabularnewline
181 & 7 & 13.5543 & -6.55434 \tabularnewline
182 & 11 & 14.1268 & -3.12681 \tabularnewline
183 & 9 & 13.8738 & -4.87377 \tabularnewline
184 & 15 & 14.4085 & 0.591539 \tabularnewline
185 & 16 & 14.7145 & 1.28545 \tabularnewline
186 & 14 & 12.4706 & 1.52936 \tabularnewline
187 & 15 & 14.3897 & 0.610286 \tabularnewline
188 & 13 & 14.5256 & -1.52561 \tabularnewline
189 & 13 & 14.7356 & -1.73559 \tabularnewline
190 & 12 & 14.6782 & -2.67816 \tabularnewline
191 & 16 & 14.2024 & 1.79761 \tabularnewline
192 & 14 & 14.2839 & -0.283875 \tabularnewline
193 & 16 & 14.8602 & 1.13982 \tabularnewline
194 & 14 & 15.1943 & -1.19432 \tabularnewline
195 & 15 & 14.947 & 0.0529844 \tabularnewline
196 & 10 & 14.0067 & -4.00673 \tabularnewline
197 & 16 & 13.8319 & 2.1681 \tabularnewline
198 & 14 & 14.1063 & -0.106284 \tabularnewline
199 & 16 & 13.8855 & 2.11454 \tabularnewline
200 & 12 & 14.2849 & -2.28485 \tabularnewline
201 & 16 & 15.4406 & 0.559443 \tabularnewline
202 & 16 & 13.1351 & 2.86487 \tabularnewline
203 & 15 & 15.677 & -0.677019 \tabularnewline
204 & 14 & 14.8342 & -0.834247 \tabularnewline
205 & 16 & 13.9228 & 2.07717 \tabularnewline
206 & 11 & 13.9753 & -2.97528 \tabularnewline
207 & 15 & 13.8919 & 1.10808 \tabularnewline
208 & 18 & 14.562 & 3.43801 \tabularnewline
209 & 13 & 13.3841 & -0.384098 \tabularnewline
210 & 7 & 13.8939 & -6.89388 \tabularnewline
211 & 7 & 13.9601 & -6.96006 \tabularnewline
212 & 17 & 14.4428 & 2.55724 \tabularnewline
213 & 18 & 14.5796 & 3.42037 \tabularnewline
214 & 15 & 14.7764 & 0.223646 \tabularnewline
215 & 8 & 14.3525 & -6.35252 \tabularnewline
216 & 13 & 14.5031 & -1.50312 \tabularnewline
217 & 13 & 14.1116 & -1.11159 \tabularnewline
218 & 15 & 13.4842 & 1.51575 \tabularnewline
219 & 18 & 14.8352 & 3.16477 \tabularnewline
220 & 16 & 13.7624 & 2.23764 \tabularnewline
221 & 14 & 14.4982 & -0.498235 \tabularnewline
222 & 15 & 14.535 & 0.464996 \tabularnewline
223 & 19 & 14.0679 & 4.93214 \tabularnewline
224 & 16 & 14.6954 & 1.30458 \tabularnewline
225 & 12 & 13.6902 & -1.69023 \tabularnewline
226 & 16 & 14.1406 & 1.85941 \tabularnewline
227 & 11 & 12.9626 & -1.96261 \tabularnewline
228 & 16 & 15.0447 & 0.955304 \tabularnewline
229 & 15 & 14.8838 & 0.116233 \tabularnewline
230 & 19 & 14.898 & 4.10199 \tabularnewline
231 & 15 & 14.3344 & 0.665627 \tabularnewline
232 & 14 & 15.155 & -1.15504 \tabularnewline
233 & 14 & 14.4408 & -0.440808 \tabularnewline
234 & 17 & 15.0226 & 1.97741 \tabularnewline
235 & 16 & 14.198 & 1.80199 \tabularnewline
236 & 20 & 14.6209 & 5.37913 \tabularnewline
237 & 16 & 14.8357 & 1.16431 \tabularnewline
238 & 9 & 14.1469 & -5.14692 \tabularnewline
239 & 13 & 14.3348 & -1.33475 \tabularnewline
240 & 15 & 14.2692 & 0.730792 \tabularnewline
241 & 19 & 15.1261 & 3.8739 \tabularnewline
242 & 16 & 15.5951 & 0.404932 \tabularnewline
243 & 17 & 13.8688 & 3.13115 \tabularnewline
244 & 16 & 14.8931 & 1.10688 \tabularnewline
245 & 9 & 13.2162 & -4.21624 \tabularnewline
246 & 11 & 14.1224 & -3.12244 \tabularnewline
247 & 14 & 14.4742 & -0.474177 \tabularnewline
248 & 19 & 14.251 & 4.74898 \tabularnewline
249 & 13 & 12.9995 & 0.000541141 \tabularnewline
250 & 14 & 15.0344 & -1.03437 \tabularnewline
251 & 15 & 15.0344 & -0.0343668 \tabularnewline
252 & 15 & 14.459 & 0.541041 \tabularnewline
253 & 14 & 14.2745 & -0.274524 \tabularnewline
254 & 16 & 14.0655 & 1.93448 \tabularnewline
255 & 17 & 11.3237 & 5.67631 \tabularnewline
256 & 12 & 12.6418 & -0.641811 \tabularnewline
257 & 15 & 14.9549 & 0.0450774 \tabularnewline
258 & 17 & 14.533 & 2.46695 \tabularnewline
259 & 15 & 14.6198 & 0.380197 \tabularnewline
260 & 10 & 13.8904 & -3.89035 \tabularnewline
261 & 16 & 14.146 & 1.85397 \tabularnewline
262 & 15 & 13.9977 & 1.00228 \tabularnewline
263 & 11 & 14.4114 & -3.41139 \tabularnewline
264 & 16 & 13.1834 & 2.81662 \tabularnewline
265 & 16 & 14.5732 & 1.42683 \tabularnewline
266 & 16 & 14.5159 & 1.48413 \tabularnewline
267 & 14 & 14.4688 & -0.468777 \tabularnewline
268 & 14 & 14.0048 & -0.00477771 \tabularnewline
269 & 16 & 15.57 & 0.429967 \tabularnewline
270 & 16 & 15.3508 & 0.649216 \tabularnewline
271 & 18 & 14.9137 & 3.08631 \tabularnewline
272 & 14 & 14.7155 & -0.715528 \tabularnewline
273 & 20 & 13.9557 & 6.04432 \tabularnewline
274 & 15 & 14.4879 & 0.512094 \tabularnewline
275 & 16 & 14.8043 & 1.19568 \tabularnewline
276 & 16 & 15.0457 & 0.954327 \tabularnewline
277 & 16 & 14.2677 & 1.73232 \tabularnewline
278 & 12 & 14.2676 & -2.26759 \tabularnewline
279 & 8 & 12.9891 & -4.98913 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267831&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]13.4264[/C][C]-0.426437[/C][/ROW]
[ROW][C]2[/C][C]8[/C][C]14.953[/C][C]-6.95297[/C][/ROW]
[ROW][C]3[/C][C]14[/C][C]13.8718[/C][C]0.128182[/C][/ROW]
[ROW][C]4[/C][C]16[/C][C]15.2919[/C][C]0.708087[/C][/ROW]
[ROW][C]5[/C][C]14[/C][C]14.3408[/C][C]-0.34079[/C][/ROW]
[ROW][C]6[/C][C]13[/C][C]14.039[/C][C]-1.039[/C][/ROW]
[ROW][C]7[/C][C]15[/C][C]13.9036[/C][C]1.09639[/C][/ROW]
[ROW][C]8[/C][C]13[/C][C]13.6725[/C][C]-0.672547[/C][/ROW]
[ROW][C]9[/C][C]20[/C][C]15.9369[/C][C]4.06305[/C][/ROW]
[ROW][C]10[/C][C]17[/C][C]16.1597[/C][C]0.84028[/C][/ROW]
[ROW][C]11[/C][C]15[/C][C]14.1386[/C][C]0.861369[/C][/ROW]
[ROW][C]12[/C][C]16[/C][C]15.6539[/C][C]0.346061[/C][/ROW]
[ROW][C]13[/C][C]12[/C][C]13.754[/C][C]-1.75399[/C][/ROW]
[ROW][C]14[/C][C]17[/C][C]14.6846[/C][C]2.31537[/C][/ROW]
[ROW][C]15[/C][C]11[/C][C]15.233[/C][C]-4.23304[/C][/ROW]
[ROW][C]16[/C][C]16[/C][C]14.2298[/C][C]1.77024[/C][/ROW]
[ROW][C]17[/C][C]16[/C][C]13.9817[/C][C]2.0183[/C][/ROW]
[ROW][C]18[/C][C]15[/C][C]14.6527[/C][C]0.347255[/C][/ROW]
[ROW][C]19[/C][C]13[/C][C]14.714[/C][C]-1.71404[/C][/ROW]
[ROW][C]20[/C][C]14[/C][C]15.2104[/C][C]-1.21043[/C][/ROW]
[ROW][C]21[/C][C]19[/C][C]15.1703[/C][C]3.82974[/C][/ROW]
[ROW][C]22[/C][C]16[/C][C]14.6924[/C][C]1.3076[/C][/ROW]
[ROW][C]23[/C][C]17[/C][C]14.6405[/C][C]2.35954[/C][/ROW]
[ROW][C]24[/C][C]10[/C][C]14.6537[/C][C]-4.65372[/C][/ROW]
[ROW][C]25[/C][C]15[/C][C]14.6183[/C][C]0.381686[/C][/ROW]
[ROW][C]26[/C][C]14[/C][C]14.4703[/C][C]-0.470266[/C][/ROW]
[ROW][C]27[/C][C]14[/C][C]14.4614[/C][C]-0.461381[/C][/ROW]
[ROW][C]28[/C][C]16[/C][C]13.9939[/C][C]2.00615[/C][/ROW]
[ROW][C]29[/C][C]15[/C][C]15.2291[/C][C]-0.229131[/C][/ROW]
[ROW][C]30[/C][C]17[/C][C]14.2907[/C][C]2.70928[/C][/ROW]
[ROW][C]31[/C][C]14[/C][C]12.6984[/C][C]1.30161[/C][/ROW]
[ROW][C]32[/C][C]16[/C][C]13.9982[/C][C]2.00177[/C][/ROW]
[ROW][C]33[/C][C]15[/C][C]14.4025[/C][C]0.59749[/C][/ROW]
[ROW][C]34[/C][C]16[/C][C]13.7879[/C][C]2.21209[/C][/ROW]
[ROW][C]35[/C][C]16[/C][C]13.9026[/C][C]2.09736[/C][/ROW]
[ROW][C]36[/C][C]10[/C][C]14.6056[/C][C]-4.60565[/C][/ROW]
[ROW][C]37[/C][C]8[/C][C]14.5311[/C][C]-6.53109[/C][/ROW]
[ROW][C]38[/C][C]17[/C][C]14.3122[/C][C]2.68777[/C][/ROW]
[ROW][C]39[/C][C]14[/C][C]15.0039[/C][C]-1.00393[/C][/ROW]
[ROW][C]40[/C][C]10[/C][C]13.9258[/C][C]-3.92576[/C][/ROW]
[ROW][C]41[/C][C]14[/C][C]14.1573[/C][C]-0.157333[/C][/ROW]
[ROW][C]42[/C][C]12[/C][C]14.4953[/C][C]-2.4953[/C][/ROW]
[ROW][C]43[/C][C]16[/C][C]14.3476[/C][C]1.65237[/C][/ROW]
[ROW][C]44[/C][C]16[/C][C]13.1958[/C][C]2.80416[/C][/ROW]
[ROW][C]45[/C][C]16[/C][C]12.9088[/C][C]3.09116[/C][/ROW]
[ROW][C]46[/C][C]8[/C][C]15.4724[/C][C]-7.47244[/C][/ROW]
[ROW][C]47[/C][C]16[/C][C]14.2441[/C][C]1.75591[/C][/ROW]
[ROW][C]48[/C][C]15[/C][C]14.9868[/C][C]0.0131975[/C][/ROW]
[ROW][C]49[/C][C]8[/C][C]15.1423[/C][C]-7.14229[/C][/ROW]
[ROW][C]50[/C][C]13[/C][C]14.3148[/C][C]-1.31478[/C][/ROW]
[ROW][C]51[/C][C]14[/C][C]14.5031[/C][C]-0.503124[/C][/ROW]
[ROW][C]52[/C][C]13[/C][C]14.0812[/C][C]-1.0812[/C][/ROW]
[ROW][C]53[/C][C]16[/C][C]14.1612[/C][C]1.83876[/C][/ROW]
[ROW][C]54[/C][C]19[/C][C]15.2321[/C][C]3.76794[/C][/ROW]
[ROW][C]55[/C][C]19[/C][C]15.2272[/C][C]3.77282[/C][/ROW]
[ROW][C]56[/C][C]14[/C][C]14.7136[/C][C]-0.713572[/C][/ROW]
[ROW][C]57[/C][C]15[/C][C]13.2787[/C][C]1.72131[/C][/ROW]
[ROW][C]58[/C][C]13[/C][C]13.8187[/C][C]-0.818684[/C][/ROW]
[ROW][C]59[/C][C]10[/C][C]14.1931[/C][C]-4.19312[/C][/ROW]
[ROW][C]60[/C][C]16[/C][C]14.3756[/C][C]1.6244[/C][/ROW]
[ROW][C]61[/C][C]15[/C][C]15.1364[/C][C]-0.136424[/C][/ROW]
[ROW][C]62[/C][C]11[/C][C]14.5487[/C][C]-3.54873[/C][/ROW]
[ROW][C]63[/C][C]9[/C][C]12.4466[/C][C]-3.44658[/C][/ROW]
[ROW][C]64[/C][C]16[/C][C]14.0273[/C][C]1.97269[/C][/ROW]
[ROW][C]65[/C][C]12[/C][C]14.1454[/C][C]-2.14543[/C][/ROW]
[ROW][C]66[/C][C]12[/C][C]13.6422[/C][C]-1.64216[/C][/ROW]
[ROW][C]67[/C][C]14[/C][C]14.7552[/C][C]-0.755185[/C][/ROW]
[ROW][C]68[/C][C]14[/C][C]15.0437[/C][C]-1.04372[/C][/ROW]
[ROW][C]69[/C][C]13[/C][C]14.0602[/C][C]-1.06016[/C][/ROW]
[ROW][C]70[/C][C]15[/C][C]13.6766[/C][C]1.32341[/C][/ROW]
[ROW][C]71[/C][C]17[/C][C]14.1577[/C][C]2.84229[/C][/ROW]
[ROW][C]72[/C][C]14[/C][C]14.5282[/C][C]-0.528159[/C][/ROW]
[ROW][C]73[/C][C]11[/C][C]14.3279[/C][C]-3.32791[/C][/ROW]
[ROW][C]74[/C][C]9[/C][C]15.68[/C][C]-6.67995[/C][/ROW]
[ROW][C]75[/C][C]7[/C][C]13.2576[/C][C]-6.25765[/C][/ROW]
[ROW][C]76[/C][C]13[/C][C]15.1359[/C][C]-2.13591[/C][/ROW]
[ROW][C]77[/C][C]15[/C][C]13.5789[/C][C]1.42109[/C][/ROW]
[ROW][C]78[/C][C]12[/C][C]13.783[/C][C]-1.78302[/C][/ROW]
[ROW][C]79[/C][C]15[/C][C]15.3807[/C][C]-0.380708[/C][/ROW]
[ROW][C]80[/C][C]14[/C][C]13.3744[/C][C]0.62559[/C][/ROW]
[ROW][C]81[/C][C]16[/C][C]14.4403[/C][C]1.55966[/C][/ROW]
[ROW][C]82[/C][C]14[/C][C]14.3467[/C][C]-0.346657[/C][/ROW]
[ROW][C]83[/C][C]13[/C][C]14.5021[/C][C]-1.50215[/C][/ROW]
[ROW][C]84[/C][C]16[/C][C]14.1671[/C][C]1.83289[/C][/ROW]
[ROW][C]85[/C][C]13[/C][C]14.5973[/C][C]-1.59727[/C][/ROW]
[ROW][C]86[/C][C]16[/C][C]13.3846[/C][C]2.61539[/C][/ROW]
[ROW][C]87[/C][C]16[/C][C]14.6419[/C][C]1.35809[/C][/ROW]
[ROW][C]88[/C][C]16[/C][C]15.0157[/C][C]0.984251[/C][/ROW]
[ROW][C]89[/C][C]10[/C][C]14.8391[/C][C]-4.83914[/C][/ROW]
[ROW][C]90[/C][C]12[/C][C]14.4006[/C][C]-2.40055[/C][/ROW]
[ROW][C]91[/C][C]12[/C][C]14.4413[/C][C]-2.44132[/C][/ROW]
[ROW][C]92[/C][C]12[/C][C]14.2328[/C][C]-2.23278[/C][/ROW]
[ROW][C]93[/C][C]12[/C][C]12.7361[/C][C]-0.736091[/C][/ROW]
[ROW][C]94[/C][C]19[/C][C]15.2953[/C][C]3.70469[/C][/ROW]
[ROW][C]95[/C][C]14[/C][C]12.3024[/C][C]1.6976[/C][/ROW]
[ROW][C]96[/C][C]13[/C][C]14.3614[/C][C]-1.36136[/C][/ROW]
[ROW][C]97[/C][C]16[/C][C]15.2919[/C][C]0.708087[/C][/ROW]
[ROW][C]98[/C][C]15[/C][C]14.508[/C][C]0.492032[/C][/ROW]
[ROW][C]99[/C][C]12[/C][C]14.2534[/C][C]-2.25335[/C][/ROW]
[ROW][C]100[/C][C]8[/C][C]13.9807[/C][C]-5.98072[/C][/ROW]
[ROW][C]101[/C][C]10[/C][C]15.0197[/C][C]-5.01966[/C][/ROW]
[ROW][C]102[/C][C]16[/C][C]14.7003[/C][C]1.29969[/C][/ROW]
[ROW][C]103[/C][C]16[/C][C]15.0815[/C][C]0.918535[/C][/ROW]
[ROW][C]104[/C][C]10[/C][C]12.7838[/C][C]-2.78378[/C][/ROW]
[ROW][C]105[/C][C]18[/C][C]14.897[/C][C]3.10297[/C][/ROW]
[ROW][C]106[/C][C]12[/C][C]14.4992[/C][C]-2.49921[/C][/ROW]
[ROW][C]107[/C][C]16[/C][C]14.246[/C][C]1.75396[/C][/ROW]
[ROW][C]108[/C][C]10[/C][C]14.297[/C][C]-4.29701[/C][/ROW]
[ROW][C]109[/C][C]14[/C][C]14.198[/C][C]-0.198013[/C][/ROW]
[ROW][C]110[/C][C]12[/C][C]14.9117[/C][C]-2.91174[/C][/ROW]
[ROW][C]111[/C][C]11[/C][C]14.8921[/C][C]-3.89214[/C][/ROW]
[ROW][C]112[/C][C]15[/C][C]15.1085[/C][C]-0.108456[/C][/ROW]
[ROW][C]113[/C][C]7[/C][C]15.0766[/C][C]-8.07658[/C][/ROW]
[ROW][C]114[/C][C]16[/C][C]14.77[/C][C]1.23002[/C][/ROW]
[ROW][C]115[/C][C]16[/C][C]12.6386[/C][C]3.36137[/C][/ROW]
[ROW][C]116[/C][C]16[/C][C]13.7182[/C][C]2.2818[/C][/ROW]
[ROW][C]117[/C][C]16[/C][C]14.5787[/C][C]1.42134[/C][/ROW]
[ROW][C]118[/C][C]12[/C][C]14.7985[/C][C]-2.79846[/C][/ROW]
[ROW][C]119[/C][C]15[/C][C]13.6587[/C][C]1.34131[/C][/ROW]
[ROW][C]120[/C][C]14[/C][C]14.7367[/C][C]-0.736652[/C][/ROW]
[ROW][C]121[/C][C]15[/C][C]15.0447[/C][C]-0.0446957[/C][/ROW]
[ROW][C]122[/C][C]16[/C][C]14.5698[/C][C]1.43023[/C][/ROW]
[ROW][C]123[/C][C]13[/C][C]14.5591[/C][C]-1.55906[/C][/ROW]
[ROW][C]124[/C][C]10[/C][C]14.299[/C][C]-4.29905[/C][/ROW]
[ROW][C]125[/C][C]17[/C][C]15.1423[/C][C]1.85771[/C][/ROW]
[ROW][C]126[/C][C]15[/C][C]14.589[/C][C]0.411014[/C][/ROW]
[ROW][C]127[/C][C]18[/C][C]14.5478[/C][C]3.45225[/C][/ROW]
[ROW][C]128[/C][C]16[/C][C]13.3645[/C][C]2.63545[/C][/ROW]
[ROW][C]129[/C][C]20[/C][C]14.6807[/C][C]5.31929[/C][/ROW]
[ROW][C]130[/C][C]16[/C][C]15.596[/C][C]0.403954[/C][/ROW]
[ROW][C]131[/C][C]17[/C][C]14.246[/C][C]2.75396[/C][/ROW]
[ROW][C]132[/C][C]16[/C][C]13.7373[/C][C]2.26272[/C][/ROW]
[ROW][C]133[/C][C]15[/C][C]14.6439[/C][C]0.356139[/C][/ROW]
[ROW][C]134[/C][C]13[/C][C]14.2279[/C][C]-1.22794[/C][/ROW]
[ROW][C]135[/C][C]16[/C][C]15.0785[/C][C]0.921469[/C][/ROW]
[ROW][C]136[/C][C]16[/C][C]13.5231[/C][C]2.47695[/C][/ROW]
[ROW][C]137[/C][C]16[/C][C]15.5912[/C][C]0.408843[/C][/ROW]
[ROW][C]138[/C][C]17[/C][C]14.2839[/C][C]2.71612[/C][/ROW]
[ROW][C]139[/C][C]20[/C][C]14.5012[/C][C]5.49883[/C][/ROW]
[ROW][C]140[/C][C]14[/C][C]14.5973[/C][C]-0.597274[/C][/ROW]
[ROW][C]141[/C][C]17[/C][C]15.1094[/C][C]1.89061[/C][/ROW]
[ROW][C]142[/C][C]6[/C][C]11.6964[/C][C]-5.69643[/C][/ROW]
[ROW][C]143[/C][C]16[/C][C]14.1053[/C][C]1.89469[/C][/ROW]
[ROW][C]144[/C][C]15[/C][C]14.9377[/C][C]0.0623355[/C][/ROW]
[ROW][C]145[/C][C]16[/C][C]14.0219[/C][C]1.97813[/C][/ROW]
[ROW][C]146[/C][C]16[/C][C]14.6518[/C][C]1.34823[/C][/ROW]
[ROW][C]147[/C][C]14[/C][C]14.0866[/C][C]-0.0866439[/C][/ROW]
[ROW][C]148[/C][C]16[/C][C]16.2254[/C][C]-0.225435[/C][/ROW]
[ROW][C]149[/C][C]16[/C][C]14.7087[/C][C]1.29132[/C][/ROW]
[ROW][C]150[/C][C]16[/C][C]14.617[/C][C]1.38305[/C][/ROW]
[ROW][C]151[/C][C]14[/C][C]14.1136[/C][C]-0.11355[/C][/ROW]
[ROW][C]152[/C][C]14[/C][C]14.4187[/C][C]-0.418706[/C][/ROW]
[ROW][C]153[/C][C]16[/C][C]14.848[/C][C]1.15202[/C][/ROW]
[ROW][C]154[/C][C]16[/C][C]14.848[/C][C]1.15202[/C][/ROW]
[ROW][C]155[/C][C]15[/C][C]13.3396[/C][C]1.6604[/C][/ROW]
[ROW][C]156[/C][C]16[/C][C]15.5004[/C][C]0.499594[/C][/ROW]
[ROW][C]157[/C][C]16[/C][C]15.4862[/C][C]0.513834[/C][/ROW]
[ROW][C]158[/C][C]18[/C][C]15.8521[/C][C]2.1479[/C][/ROW]
[ROW][C]159[/C][C]15[/C][C]14.458[/C][C]0.542019[/C][/ROW]
[ROW][C]160[/C][C]16[/C][C]15.4244[/C][C]0.575639[/C][/ROW]
[ROW][C]161[/C][C]16[/C][C]13.7992[/C][C]2.20078[/C][/ROW]
[ROW][C]162[/C][C]16[/C][C]14.0459[/C][C]1.95408[/C][/ROW]
[ROW][C]163[/C][C]17[/C][C]14.8043[/C][C]2.19568[/C][/ROW]
[ROW][C]164[/C][C]14[/C][C]14.2211[/C][C]-0.221093[/C][/ROW]
[ROW][C]165[/C][C]18[/C][C]15.286[/C][C]2.71395[/C][/ROW]
[ROW][C]166[/C][C]9[/C][C]14.4869[/C][C]-5.48688[/C][/ROW]
[ROW][C]167[/C][C]15[/C][C]12.9513[/C][C]2.0487[/C][/ROW]
[ROW][C]168[/C][C]14[/C][C]14.1116[/C][C]-0.11164[/C][/ROW]
[ROW][C]169[/C][C]15[/C][C]14.5169[/C][C]0.483148[/C][/ROW]
[ROW][C]170[/C][C]13[/C][C]15.5303[/C][C]-2.53033[/C][/ROW]
[ROW][C]171[/C][C]16[/C][C]14.2886[/C][C]1.71137[/C][/ROW]
[ROW][C]172[/C][C]20[/C][C]15.963[/C][C]4.03704[/C][/ROW]
[ROW][C]173[/C][C]14[/C][C]13.9639[/C][C]0.0360716[/C][/ROW]
[ROW][C]174[/C][C]12[/C][C]14.4746[/C][C]-2.47464[/C][/ROW]
[ROW][C]175[/C][C]15[/C][C]14.5958[/C][C]0.404215[/C][/ROW]
[ROW][C]176[/C][C]15[/C][C]14.5359[/C][C]0.464064[/C][/ROW]
[ROW][C]177[/C][C]15[/C][C]14.1425[/C][C]0.857458[/C][/ROW]
[ROW][C]178[/C][C]16[/C][C]14.1381[/C][C]1.86188[/C][/ROW]
[ROW][C]179[/C][C]11[/C][C]13.0065[/C][C]-2.00652[/C][/ROW]
[ROW][C]180[/C][C]16[/C][C]14.3148[/C][C]1.68522[/C][/ROW]
[ROW][C]181[/C][C]7[/C][C]13.5543[/C][C]-6.55434[/C][/ROW]
[ROW][C]182[/C][C]11[/C][C]14.1268[/C][C]-3.12681[/C][/ROW]
[ROW][C]183[/C][C]9[/C][C]13.8738[/C][C]-4.87377[/C][/ROW]
[ROW][C]184[/C][C]15[/C][C]14.4085[/C][C]0.591539[/C][/ROW]
[ROW][C]185[/C][C]16[/C][C]14.7145[/C][C]1.28545[/C][/ROW]
[ROW][C]186[/C][C]14[/C][C]12.4706[/C][C]1.52936[/C][/ROW]
[ROW][C]187[/C][C]15[/C][C]14.3897[/C][C]0.610286[/C][/ROW]
[ROW][C]188[/C][C]13[/C][C]14.5256[/C][C]-1.52561[/C][/ROW]
[ROW][C]189[/C][C]13[/C][C]14.7356[/C][C]-1.73559[/C][/ROW]
[ROW][C]190[/C][C]12[/C][C]14.6782[/C][C]-2.67816[/C][/ROW]
[ROW][C]191[/C][C]16[/C][C]14.2024[/C][C]1.79761[/C][/ROW]
[ROW][C]192[/C][C]14[/C][C]14.2839[/C][C]-0.283875[/C][/ROW]
[ROW][C]193[/C][C]16[/C][C]14.8602[/C][C]1.13982[/C][/ROW]
[ROW][C]194[/C][C]14[/C][C]15.1943[/C][C]-1.19432[/C][/ROW]
[ROW][C]195[/C][C]15[/C][C]14.947[/C][C]0.0529844[/C][/ROW]
[ROW][C]196[/C][C]10[/C][C]14.0067[/C][C]-4.00673[/C][/ROW]
[ROW][C]197[/C][C]16[/C][C]13.8319[/C][C]2.1681[/C][/ROW]
[ROW][C]198[/C][C]14[/C][C]14.1063[/C][C]-0.106284[/C][/ROW]
[ROW][C]199[/C][C]16[/C][C]13.8855[/C][C]2.11454[/C][/ROW]
[ROW][C]200[/C][C]12[/C][C]14.2849[/C][C]-2.28485[/C][/ROW]
[ROW][C]201[/C][C]16[/C][C]15.4406[/C][C]0.559443[/C][/ROW]
[ROW][C]202[/C][C]16[/C][C]13.1351[/C][C]2.86487[/C][/ROW]
[ROW][C]203[/C][C]15[/C][C]15.677[/C][C]-0.677019[/C][/ROW]
[ROW][C]204[/C][C]14[/C][C]14.8342[/C][C]-0.834247[/C][/ROW]
[ROW][C]205[/C][C]16[/C][C]13.9228[/C][C]2.07717[/C][/ROW]
[ROW][C]206[/C][C]11[/C][C]13.9753[/C][C]-2.97528[/C][/ROW]
[ROW][C]207[/C][C]15[/C][C]13.8919[/C][C]1.10808[/C][/ROW]
[ROW][C]208[/C][C]18[/C][C]14.562[/C][C]3.43801[/C][/ROW]
[ROW][C]209[/C][C]13[/C][C]13.3841[/C][C]-0.384098[/C][/ROW]
[ROW][C]210[/C][C]7[/C][C]13.8939[/C][C]-6.89388[/C][/ROW]
[ROW][C]211[/C][C]7[/C][C]13.9601[/C][C]-6.96006[/C][/ROW]
[ROW][C]212[/C][C]17[/C][C]14.4428[/C][C]2.55724[/C][/ROW]
[ROW][C]213[/C][C]18[/C][C]14.5796[/C][C]3.42037[/C][/ROW]
[ROW][C]214[/C][C]15[/C][C]14.7764[/C][C]0.223646[/C][/ROW]
[ROW][C]215[/C][C]8[/C][C]14.3525[/C][C]-6.35252[/C][/ROW]
[ROW][C]216[/C][C]13[/C][C]14.5031[/C][C]-1.50312[/C][/ROW]
[ROW][C]217[/C][C]13[/C][C]14.1116[/C][C]-1.11159[/C][/ROW]
[ROW][C]218[/C][C]15[/C][C]13.4842[/C][C]1.51575[/C][/ROW]
[ROW][C]219[/C][C]18[/C][C]14.8352[/C][C]3.16477[/C][/ROW]
[ROW][C]220[/C][C]16[/C][C]13.7624[/C][C]2.23764[/C][/ROW]
[ROW][C]221[/C][C]14[/C][C]14.4982[/C][C]-0.498235[/C][/ROW]
[ROW][C]222[/C][C]15[/C][C]14.535[/C][C]0.464996[/C][/ROW]
[ROW][C]223[/C][C]19[/C][C]14.0679[/C][C]4.93214[/C][/ROW]
[ROW][C]224[/C][C]16[/C][C]14.6954[/C][C]1.30458[/C][/ROW]
[ROW][C]225[/C][C]12[/C][C]13.6902[/C][C]-1.69023[/C][/ROW]
[ROW][C]226[/C][C]16[/C][C]14.1406[/C][C]1.85941[/C][/ROW]
[ROW][C]227[/C][C]11[/C][C]12.9626[/C][C]-1.96261[/C][/ROW]
[ROW][C]228[/C][C]16[/C][C]15.0447[/C][C]0.955304[/C][/ROW]
[ROW][C]229[/C][C]15[/C][C]14.8838[/C][C]0.116233[/C][/ROW]
[ROW][C]230[/C][C]19[/C][C]14.898[/C][C]4.10199[/C][/ROW]
[ROW][C]231[/C][C]15[/C][C]14.3344[/C][C]0.665627[/C][/ROW]
[ROW][C]232[/C][C]14[/C][C]15.155[/C][C]-1.15504[/C][/ROW]
[ROW][C]233[/C][C]14[/C][C]14.4408[/C][C]-0.440808[/C][/ROW]
[ROW][C]234[/C][C]17[/C][C]15.0226[/C][C]1.97741[/C][/ROW]
[ROW][C]235[/C][C]16[/C][C]14.198[/C][C]1.80199[/C][/ROW]
[ROW][C]236[/C][C]20[/C][C]14.6209[/C][C]5.37913[/C][/ROW]
[ROW][C]237[/C][C]16[/C][C]14.8357[/C][C]1.16431[/C][/ROW]
[ROW][C]238[/C][C]9[/C][C]14.1469[/C][C]-5.14692[/C][/ROW]
[ROW][C]239[/C][C]13[/C][C]14.3348[/C][C]-1.33475[/C][/ROW]
[ROW][C]240[/C][C]15[/C][C]14.2692[/C][C]0.730792[/C][/ROW]
[ROW][C]241[/C][C]19[/C][C]15.1261[/C][C]3.8739[/C][/ROW]
[ROW][C]242[/C][C]16[/C][C]15.5951[/C][C]0.404932[/C][/ROW]
[ROW][C]243[/C][C]17[/C][C]13.8688[/C][C]3.13115[/C][/ROW]
[ROW][C]244[/C][C]16[/C][C]14.8931[/C][C]1.10688[/C][/ROW]
[ROW][C]245[/C][C]9[/C][C]13.2162[/C][C]-4.21624[/C][/ROW]
[ROW][C]246[/C][C]11[/C][C]14.1224[/C][C]-3.12244[/C][/ROW]
[ROW][C]247[/C][C]14[/C][C]14.4742[/C][C]-0.474177[/C][/ROW]
[ROW][C]248[/C][C]19[/C][C]14.251[/C][C]4.74898[/C][/ROW]
[ROW][C]249[/C][C]13[/C][C]12.9995[/C][C]0.000541141[/C][/ROW]
[ROW][C]250[/C][C]14[/C][C]15.0344[/C][C]-1.03437[/C][/ROW]
[ROW][C]251[/C][C]15[/C][C]15.0344[/C][C]-0.0343668[/C][/ROW]
[ROW][C]252[/C][C]15[/C][C]14.459[/C][C]0.541041[/C][/ROW]
[ROW][C]253[/C][C]14[/C][C]14.2745[/C][C]-0.274524[/C][/ROW]
[ROW][C]254[/C][C]16[/C][C]14.0655[/C][C]1.93448[/C][/ROW]
[ROW][C]255[/C][C]17[/C][C]11.3237[/C][C]5.67631[/C][/ROW]
[ROW][C]256[/C][C]12[/C][C]12.6418[/C][C]-0.641811[/C][/ROW]
[ROW][C]257[/C][C]15[/C][C]14.9549[/C][C]0.0450774[/C][/ROW]
[ROW][C]258[/C][C]17[/C][C]14.533[/C][C]2.46695[/C][/ROW]
[ROW][C]259[/C][C]15[/C][C]14.6198[/C][C]0.380197[/C][/ROW]
[ROW][C]260[/C][C]10[/C][C]13.8904[/C][C]-3.89035[/C][/ROW]
[ROW][C]261[/C][C]16[/C][C]14.146[/C][C]1.85397[/C][/ROW]
[ROW][C]262[/C][C]15[/C][C]13.9977[/C][C]1.00228[/C][/ROW]
[ROW][C]263[/C][C]11[/C][C]14.4114[/C][C]-3.41139[/C][/ROW]
[ROW][C]264[/C][C]16[/C][C]13.1834[/C][C]2.81662[/C][/ROW]
[ROW][C]265[/C][C]16[/C][C]14.5732[/C][C]1.42683[/C][/ROW]
[ROW][C]266[/C][C]16[/C][C]14.5159[/C][C]1.48413[/C][/ROW]
[ROW][C]267[/C][C]14[/C][C]14.4688[/C][C]-0.468777[/C][/ROW]
[ROW][C]268[/C][C]14[/C][C]14.0048[/C][C]-0.00477771[/C][/ROW]
[ROW][C]269[/C][C]16[/C][C]15.57[/C][C]0.429967[/C][/ROW]
[ROW][C]270[/C][C]16[/C][C]15.3508[/C][C]0.649216[/C][/ROW]
[ROW][C]271[/C][C]18[/C][C]14.9137[/C][C]3.08631[/C][/ROW]
[ROW][C]272[/C][C]14[/C][C]14.7155[/C][C]-0.715528[/C][/ROW]
[ROW][C]273[/C][C]20[/C][C]13.9557[/C][C]6.04432[/C][/ROW]
[ROW][C]274[/C][C]15[/C][C]14.4879[/C][C]0.512094[/C][/ROW]
[ROW][C]275[/C][C]16[/C][C]14.8043[/C][C]1.19568[/C][/ROW]
[ROW][C]276[/C][C]16[/C][C]15.0457[/C][C]0.954327[/C][/ROW]
[ROW][C]277[/C][C]16[/C][C]14.2677[/C][C]1.73232[/C][/ROW]
[ROW][C]278[/C][C]12[/C][C]14.2676[/C][C]-2.26759[/C][/ROW]
[ROW][C]279[/C][C]8[/C][C]12.9891[/C][C]-4.98913[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267831&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267831&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
11313.4264-0.426437
2814.953-6.95297
31413.87180.128182
41615.29190.708087
51414.3408-0.34079
61314.039-1.039
71513.90361.09639
81313.6725-0.672547
92015.93694.06305
101716.15970.84028
111514.13860.861369
121615.65390.346061
131213.754-1.75399
141714.68462.31537
151115.233-4.23304
161614.22981.77024
171613.98172.0183
181514.65270.347255
191314.714-1.71404
201415.2104-1.21043
211915.17033.82974
221614.69241.3076
231714.64052.35954
241014.6537-4.65372
251514.61830.381686
261414.4703-0.470266
271414.4614-0.461381
281613.99392.00615
291515.2291-0.229131
301714.29072.70928
311412.69841.30161
321613.99822.00177
331514.40250.59749
341613.78792.21209
351613.90262.09736
361014.6056-4.60565
37814.5311-6.53109
381714.31222.68777
391415.0039-1.00393
401013.9258-3.92576
411414.1573-0.157333
421214.4953-2.4953
431614.34761.65237
441613.19582.80416
451612.90883.09116
46815.4724-7.47244
471614.24411.75591
481514.98680.0131975
49815.1423-7.14229
501314.3148-1.31478
511414.5031-0.503124
521314.0812-1.0812
531614.16121.83876
541915.23213.76794
551915.22723.77282
561414.7136-0.713572
571513.27871.72131
581313.8187-0.818684
591014.1931-4.19312
601614.37561.6244
611515.1364-0.136424
621114.5487-3.54873
63912.4466-3.44658
641614.02731.97269
651214.1454-2.14543
661213.6422-1.64216
671414.7552-0.755185
681415.0437-1.04372
691314.0602-1.06016
701513.67661.32341
711714.15772.84229
721414.5282-0.528159
731114.3279-3.32791
74915.68-6.67995
75713.2576-6.25765
761315.1359-2.13591
771513.57891.42109
781213.783-1.78302
791515.3807-0.380708
801413.37440.62559
811614.44031.55966
821414.3467-0.346657
831314.5021-1.50215
841614.16711.83289
851314.5973-1.59727
861613.38462.61539
871614.64191.35809
881615.01570.984251
891014.8391-4.83914
901214.4006-2.40055
911214.4413-2.44132
921214.2328-2.23278
931212.7361-0.736091
941915.29533.70469
951412.30241.6976
961314.3614-1.36136
971615.29190.708087
981514.5080.492032
991214.2534-2.25335
100813.9807-5.98072
1011015.0197-5.01966
1021614.70031.29969
1031615.08150.918535
1041012.7838-2.78378
1051814.8973.10297
1061214.4992-2.49921
1071614.2461.75396
1081014.297-4.29701
1091414.198-0.198013
1101214.9117-2.91174
1111114.8921-3.89214
1121515.1085-0.108456
113715.0766-8.07658
1141614.771.23002
1151612.63863.36137
1161613.71822.2818
1171614.57871.42134
1181214.7985-2.79846
1191513.65871.34131
1201414.7367-0.736652
1211515.0447-0.0446957
1221614.56981.43023
1231314.5591-1.55906
1241014.299-4.29905
1251715.14231.85771
1261514.5890.411014
1271814.54783.45225
1281613.36452.63545
1292014.68075.31929
1301615.5960.403954
1311714.2462.75396
1321613.73732.26272
1331514.64390.356139
1341314.2279-1.22794
1351615.07850.921469
1361613.52312.47695
1371615.59120.408843
1381714.28392.71612
1392014.50125.49883
1401414.5973-0.597274
1411715.10941.89061
142611.6964-5.69643
1431614.10531.89469
1441514.93770.0623355
1451614.02191.97813
1461614.65181.34823
1471414.0866-0.0866439
1481616.2254-0.225435
1491614.70871.29132
1501614.6171.38305
1511414.1136-0.11355
1521414.4187-0.418706
1531614.8481.15202
1541614.8481.15202
1551513.33961.6604
1561615.50040.499594
1571615.48620.513834
1581815.85212.1479
1591514.4580.542019
1601615.42440.575639
1611613.79922.20078
1621614.04591.95408
1631714.80432.19568
1641414.2211-0.221093
1651815.2862.71395
166914.4869-5.48688
1671512.95132.0487
1681414.1116-0.11164
1691514.51690.483148
1701315.5303-2.53033
1711614.28861.71137
1722015.9634.03704
1731413.96390.0360716
1741214.4746-2.47464
1751514.59580.404215
1761514.53590.464064
1771514.14250.857458
1781614.13811.86188
1791113.0065-2.00652
1801614.31481.68522
181713.5543-6.55434
1821114.1268-3.12681
183913.8738-4.87377
1841514.40850.591539
1851614.71451.28545
1861412.47061.52936
1871514.38970.610286
1881314.5256-1.52561
1891314.7356-1.73559
1901214.6782-2.67816
1911614.20241.79761
1921414.2839-0.283875
1931614.86021.13982
1941415.1943-1.19432
1951514.9470.0529844
1961014.0067-4.00673
1971613.83192.1681
1981414.1063-0.106284
1991613.88552.11454
2001214.2849-2.28485
2011615.44060.559443
2021613.13512.86487
2031515.677-0.677019
2041414.8342-0.834247
2051613.92282.07717
2061113.9753-2.97528
2071513.89191.10808
2081814.5623.43801
2091313.3841-0.384098
210713.8939-6.89388
211713.9601-6.96006
2121714.44282.55724
2131814.57963.42037
2141514.77640.223646
215814.3525-6.35252
2161314.5031-1.50312
2171314.1116-1.11159
2181513.48421.51575
2191814.83523.16477
2201613.76242.23764
2211414.4982-0.498235
2221514.5350.464996
2231914.06794.93214
2241614.69541.30458
2251213.6902-1.69023
2261614.14061.85941
2271112.9626-1.96261
2281615.04470.955304
2291514.88380.116233
2301914.8984.10199
2311514.33440.665627
2321415.155-1.15504
2331414.4408-0.440808
2341715.02261.97741
2351614.1981.80199
2362014.62095.37913
2371614.83571.16431
238914.1469-5.14692
2391314.3348-1.33475
2401514.26920.730792
2411915.12613.8739
2421615.59510.404932
2431713.86883.13115
2441614.89311.10688
245913.2162-4.21624
2461114.1224-3.12244
2471414.4742-0.474177
2481914.2514.74898
2491312.99950.000541141
2501415.0344-1.03437
2511515.0344-0.0343668
2521514.4590.541041
2531414.2745-0.274524
2541614.06551.93448
2551711.32375.67631
2561212.6418-0.641811
2571514.95490.0450774
2581714.5332.46695
2591514.61980.380197
2601013.8904-3.89035
2611614.1461.85397
2621513.99771.00228
2631114.4114-3.41139
2641613.18342.81662
2651614.57321.42683
2661614.51591.48413
2671414.4688-0.468777
2681414.0048-0.00477771
2691615.570.429967
2701615.35080.649216
2711814.91373.08631
2721414.7155-0.715528
2732013.95576.04432
2741514.48790.512094
2751614.80431.19568
2761615.04570.954327
2771614.26771.73232
2781214.2676-2.26759
279812.9891-4.98913






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.7718830.4562340.228117
80.6737430.6525140.326257
90.770150.45970.22985
100.7888360.4223280.211164
110.7101740.5796520.289826
120.613680.7726390.38632
130.5676240.8647530.432376
140.5243940.9512120.475606
150.6934030.6131950.306597
160.6345360.7309290.365464
170.6250630.7498750.374937
180.5482890.9034210.451711
190.4962190.9924380.503781
200.450480.9009610.54952
210.5178950.9642090.482105
220.4598130.9196250.540187
230.4340910.8681820.565909
240.5829310.8341380.417069
250.5180920.9638170.481908
260.4543740.9087480.545626
270.3942380.7884760.605762
280.3652090.7304190.634791
290.309190.6183790.69081
300.3159770.6319530.684023
310.2758830.5517670.724117
320.2439050.4878090.756095
330.2008160.4016320.799184
340.1874720.3749440.812528
350.163350.32670.83665
360.2470380.4940770.752962
370.4957510.9915010.504249
380.4779770.9559530.522023
390.4330440.8660890.566956
400.4795430.9590860.520457
410.4349610.8699220.565039
420.4084850.816970.591515
430.3938610.7877220.606139
440.4071460.8142930.592854
450.407590.8151790.59241
460.6604020.6791960.339598
470.6347880.7304240.365212
480.5930060.8139890.406994
490.786970.426060.21303
500.7559110.4881790.244089
510.7194440.5611120.280556
520.6932140.6135720.306786
530.6830060.6339870.316994
540.7508710.4982580.249129
550.8076720.3846560.192328
560.7774780.4450430.222522
570.749850.5003010.25015
580.7340150.531970.265985
590.7710010.4579980.228999
600.7559840.4880330.244016
610.7235670.5528670.276433
620.7429870.5140250.257013
630.8082430.3835140.191757
640.795980.408040.20402
650.7858250.4283490.214175
660.7676990.4646010.232301
670.7372620.5254750.262738
680.7059710.5880590.294029
690.6750560.6498870.324944
700.6474680.7050630.352532
710.6529370.6941270.347063
720.6163180.7673650.383682
730.633520.7329590.36648
740.7680130.4639750.231987
750.8808520.2382970.119148
760.8695910.2608180.130409
770.8543750.2912490.145625
780.8399680.3200640.160032
790.8168910.3662180.183109
800.7924870.4150260.207513
810.777880.4442410.22212
820.7491030.5017940.250897
830.7252780.5494450.274722
840.7115810.5768370.288419
850.6879010.6241980.312099
860.6833430.6333150.316657
870.6617230.6765550.338277
880.6374120.7251770.362588
890.6996260.6007480.300374
900.6905380.6189240.309462
910.6796160.6407680.320384
920.6684470.6631060.331553
930.6407520.7184960.359248
940.6863670.6272650.313633
950.6618830.6762340.338117
960.6349610.7300770.365039
970.6080250.783950.391975
980.5747920.8504150.425208
990.5644210.8711580.435579
1000.6901620.6196760.309838
1010.7542460.4915090.245754
1020.736520.526960.26348
1030.7150440.5699110.284956
1040.7157040.5685920.284296
1050.7353480.5293040.264652
1060.7280650.543870.271935
1070.71290.57420.2871
1080.7607110.4785790.239289
1090.7333770.5332460.266623
1100.735450.52910.26455
1110.7613590.4772810.238641
1120.7351280.5297440.264872
1130.9062570.1874860.093743
1140.8965490.2069010.103451
1150.9073260.1853480.0926739
1160.9035510.1928970.0964487
1170.8941890.2116220.105811
1180.8949950.2100110.105005
1190.8812930.2374140.118707
1200.8654370.2691260.134563
1210.8477310.3045380.152269
1220.8334540.3330910.166546
1230.819050.36190.18095
1240.8550890.2898220.144911
1250.8478870.3042270.152113
1260.8290410.3419180.170959
1270.8467590.3064820.153241
1280.8464360.3071270.153564
1290.903890.1922210.0961103
1300.8904080.2191830.109592
1310.891940.216120.10806
1320.8865230.2269540.113477
1330.8696150.260770.130385
1340.8549050.290190.145095
1350.8383340.3233330.161666
1360.8368830.3262330.163117
1370.8181680.3636650.181832
1380.8206810.3586380.179319
1390.886830.2263410.11317
1400.8707420.2585150.129258
1410.8614970.2770070.138503
1420.9206640.1586730.0793364
1430.9141180.1717650.0858824
1440.9001930.1996140.0998071
1450.8931010.2137990.106899
1460.8806160.2387680.119384
1470.862820.2743590.13718
1480.8463610.3072780.153639
1490.8299890.3400230.170011
1500.8132810.3734370.186719
1510.7895930.4208140.210407
1520.7646120.4707750.235388
1530.7421440.5157110.257856
1540.7185190.5629620.281481
1550.7024840.5950330.297516
1560.6735110.6529790.326489
1570.643660.712680.35634
1580.6291570.7416850.370843
1590.5970330.8059350.402967
1600.5647970.8704060.435203
1610.5560540.8878920.443946
1620.5407340.9185320.459266
1630.5277710.9444570.472229
1640.4930340.9860690.506966
1650.4901210.9802420.509879
1660.6105230.7789530.389477
1670.5992290.8015430.400771
1680.5648490.8703030.435151
1690.5307940.9384120.469206
1700.5394960.9210090.460504
1710.5172530.9654930.482747
1720.5485770.9028470.451423
1730.5133360.9733270.486664
1740.5104550.9790910.489545
1750.4758480.9516970.524152
1760.4413560.8827120.558644
1770.4102750.8205510.589725
1780.3908470.7816940.609153
1790.3718150.7436290.628185
1800.3505420.7010830.649458
1810.5227150.9545690.477285
1820.5413220.9173550.458678
1830.6331080.7337840.366892
1840.599230.8015390.40077
1850.5702490.8595030.429751
1860.5473870.9052260.452613
1870.5122340.9755320.487766
1880.49060.9812010.5094
1890.4730980.9461970.526902
1900.4814880.9629760.518512
1910.4599460.9198910.540054
1920.4245740.8491480.575426
1930.3929810.7859620.607019
1940.3727520.7455050.627248
1950.3389220.6778430.661078
1960.3995670.7991350.600433
1970.3813130.7626270.618687
1980.3459780.6919560.654022
1990.3292130.6584260.670787
2000.3286160.6572320.671384
2010.2957960.5915910.704204
2020.2934790.5869580.706521
2030.2731310.5462630.726869
2040.2489410.4978820.751059
2050.2327340.4654680.767266
2060.2397610.4795210.760239
2070.2130580.4261160.786942
2080.223010.446020.77699
2090.1966950.3933910.803305
2100.413540.8270790.58646
2110.6877630.6244750.312237
2120.6753920.6492160.324608
2130.6867350.6265310.313265
2140.6499030.7001940.350097
2150.8619680.2760630.138032
2160.8608070.2783860.139193
2170.8406460.3187080.159354
2180.8155020.3689950.184498
2190.8148870.3702270.185113
2200.794590.410820.20541
2210.7736730.4526540.226327
2220.7415510.5168980.258449
2230.8586630.2826740.141337
2240.8341740.3316510.165826
2250.8315410.3369170.168459
2260.8069440.3861110.193056
2270.7811960.4376080.218804
2280.7470550.505890.252945
2290.7088280.5823440.291172
2300.746620.506760.25338
2310.7087340.5825310.291266
2320.6757320.6485350.324268
2330.6398480.7203040.360152
2340.6150530.7698950.384947
2350.572160.855680.42784
2360.6695830.6608340.330417
2370.6303880.7392240.369612
2380.7722540.4554930.227746
2390.7366470.5267060.263353
2400.7057140.5885720.294286
2410.7662330.4675330.233767
2420.7304640.5390720.269536
2430.710810.578380.28919
2440.6649040.6701930.335096
2450.7302790.5394430.269721
2460.8056140.3887710.194386
2470.768160.4636810.23184
2480.7906990.4186010.209301
2490.7497270.5005470.250273
2500.7084550.583090.291545
2510.6533150.693370.346685
2520.5939630.8120750.406037
2530.5434620.9130760.456538
2540.4917860.9835720.508214
2550.7168560.5662890.283144
2560.6657060.6685870.334294
2570.6120460.7759080.387954
2580.5922220.8155550.407778
2590.5359390.9281220.464061
2600.5706070.8587860.429393
2610.4973890.9947780.502611
2620.4225440.8450890.577456
2630.5441020.9117960.455898
2640.8290280.3419450.170972
2650.9485050.1029910.0514953
2660.9165010.1669970.0834987
2670.8643830.2712340.135617
2680.8704580.2590830.129542
2690.7972550.405490.202745
2700.6994480.6011040.300552
2710.9049920.1900150.0950076
2720.9427370.1145260.0572631

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
7 & 0.771883 & 0.456234 & 0.228117 \tabularnewline
8 & 0.673743 & 0.652514 & 0.326257 \tabularnewline
9 & 0.77015 & 0.4597 & 0.22985 \tabularnewline
10 & 0.788836 & 0.422328 & 0.211164 \tabularnewline
11 & 0.710174 & 0.579652 & 0.289826 \tabularnewline
12 & 0.61368 & 0.772639 & 0.38632 \tabularnewline
13 & 0.567624 & 0.864753 & 0.432376 \tabularnewline
14 & 0.524394 & 0.951212 & 0.475606 \tabularnewline
15 & 0.693403 & 0.613195 & 0.306597 \tabularnewline
16 & 0.634536 & 0.730929 & 0.365464 \tabularnewline
17 & 0.625063 & 0.749875 & 0.374937 \tabularnewline
18 & 0.548289 & 0.903421 & 0.451711 \tabularnewline
19 & 0.496219 & 0.992438 & 0.503781 \tabularnewline
20 & 0.45048 & 0.900961 & 0.54952 \tabularnewline
21 & 0.517895 & 0.964209 & 0.482105 \tabularnewline
22 & 0.459813 & 0.919625 & 0.540187 \tabularnewline
23 & 0.434091 & 0.868182 & 0.565909 \tabularnewline
24 & 0.582931 & 0.834138 & 0.417069 \tabularnewline
25 & 0.518092 & 0.963817 & 0.481908 \tabularnewline
26 & 0.454374 & 0.908748 & 0.545626 \tabularnewline
27 & 0.394238 & 0.788476 & 0.605762 \tabularnewline
28 & 0.365209 & 0.730419 & 0.634791 \tabularnewline
29 & 0.30919 & 0.618379 & 0.69081 \tabularnewline
30 & 0.315977 & 0.631953 & 0.684023 \tabularnewline
31 & 0.275883 & 0.551767 & 0.724117 \tabularnewline
32 & 0.243905 & 0.487809 & 0.756095 \tabularnewline
33 & 0.200816 & 0.401632 & 0.799184 \tabularnewline
34 & 0.187472 & 0.374944 & 0.812528 \tabularnewline
35 & 0.16335 & 0.3267 & 0.83665 \tabularnewline
36 & 0.247038 & 0.494077 & 0.752962 \tabularnewline
37 & 0.495751 & 0.991501 & 0.504249 \tabularnewline
38 & 0.477977 & 0.955953 & 0.522023 \tabularnewline
39 & 0.433044 & 0.866089 & 0.566956 \tabularnewline
40 & 0.479543 & 0.959086 & 0.520457 \tabularnewline
41 & 0.434961 & 0.869922 & 0.565039 \tabularnewline
42 & 0.408485 & 0.81697 & 0.591515 \tabularnewline
43 & 0.393861 & 0.787722 & 0.606139 \tabularnewline
44 & 0.407146 & 0.814293 & 0.592854 \tabularnewline
45 & 0.40759 & 0.815179 & 0.59241 \tabularnewline
46 & 0.660402 & 0.679196 & 0.339598 \tabularnewline
47 & 0.634788 & 0.730424 & 0.365212 \tabularnewline
48 & 0.593006 & 0.813989 & 0.406994 \tabularnewline
49 & 0.78697 & 0.42606 & 0.21303 \tabularnewline
50 & 0.755911 & 0.488179 & 0.244089 \tabularnewline
51 & 0.719444 & 0.561112 & 0.280556 \tabularnewline
52 & 0.693214 & 0.613572 & 0.306786 \tabularnewline
53 & 0.683006 & 0.633987 & 0.316994 \tabularnewline
54 & 0.750871 & 0.498258 & 0.249129 \tabularnewline
55 & 0.807672 & 0.384656 & 0.192328 \tabularnewline
56 & 0.777478 & 0.445043 & 0.222522 \tabularnewline
57 & 0.74985 & 0.500301 & 0.25015 \tabularnewline
58 & 0.734015 & 0.53197 & 0.265985 \tabularnewline
59 & 0.771001 & 0.457998 & 0.228999 \tabularnewline
60 & 0.755984 & 0.488033 & 0.244016 \tabularnewline
61 & 0.723567 & 0.552867 & 0.276433 \tabularnewline
62 & 0.742987 & 0.514025 & 0.257013 \tabularnewline
63 & 0.808243 & 0.383514 & 0.191757 \tabularnewline
64 & 0.79598 & 0.40804 & 0.20402 \tabularnewline
65 & 0.785825 & 0.428349 & 0.214175 \tabularnewline
66 & 0.767699 & 0.464601 & 0.232301 \tabularnewline
67 & 0.737262 & 0.525475 & 0.262738 \tabularnewline
68 & 0.705971 & 0.588059 & 0.294029 \tabularnewline
69 & 0.675056 & 0.649887 & 0.324944 \tabularnewline
70 & 0.647468 & 0.705063 & 0.352532 \tabularnewline
71 & 0.652937 & 0.694127 & 0.347063 \tabularnewline
72 & 0.616318 & 0.767365 & 0.383682 \tabularnewline
73 & 0.63352 & 0.732959 & 0.36648 \tabularnewline
74 & 0.768013 & 0.463975 & 0.231987 \tabularnewline
75 & 0.880852 & 0.238297 & 0.119148 \tabularnewline
76 & 0.869591 & 0.260818 & 0.130409 \tabularnewline
77 & 0.854375 & 0.291249 & 0.145625 \tabularnewline
78 & 0.839968 & 0.320064 & 0.160032 \tabularnewline
79 & 0.816891 & 0.366218 & 0.183109 \tabularnewline
80 & 0.792487 & 0.415026 & 0.207513 \tabularnewline
81 & 0.77788 & 0.444241 & 0.22212 \tabularnewline
82 & 0.749103 & 0.501794 & 0.250897 \tabularnewline
83 & 0.725278 & 0.549445 & 0.274722 \tabularnewline
84 & 0.711581 & 0.576837 & 0.288419 \tabularnewline
85 & 0.687901 & 0.624198 & 0.312099 \tabularnewline
86 & 0.683343 & 0.633315 & 0.316657 \tabularnewline
87 & 0.661723 & 0.676555 & 0.338277 \tabularnewline
88 & 0.637412 & 0.725177 & 0.362588 \tabularnewline
89 & 0.699626 & 0.600748 & 0.300374 \tabularnewline
90 & 0.690538 & 0.618924 & 0.309462 \tabularnewline
91 & 0.679616 & 0.640768 & 0.320384 \tabularnewline
92 & 0.668447 & 0.663106 & 0.331553 \tabularnewline
93 & 0.640752 & 0.718496 & 0.359248 \tabularnewline
94 & 0.686367 & 0.627265 & 0.313633 \tabularnewline
95 & 0.661883 & 0.676234 & 0.338117 \tabularnewline
96 & 0.634961 & 0.730077 & 0.365039 \tabularnewline
97 & 0.608025 & 0.78395 & 0.391975 \tabularnewline
98 & 0.574792 & 0.850415 & 0.425208 \tabularnewline
99 & 0.564421 & 0.871158 & 0.435579 \tabularnewline
100 & 0.690162 & 0.619676 & 0.309838 \tabularnewline
101 & 0.754246 & 0.491509 & 0.245754 \tabularnewline
102 & 0.73652 & 0.52696 & 0.26348 \tabularnewline
103 & 0.715044 & 0.569911 & 0.284956 \tabularnewline
104 & 0.715704 & 0.568592 & 0.284296 \tabularnewline
105 & 0.735348 & 0.529304 & 0.264652 \tabularnewline
106 & 0.728065 & 0.54387 & 0.271935 \tabularnewline
107 & 0.7129 & 0.5742 & 0.2871 \tabularnewline
108 & 0.760711 & 0.478579 & 0.239289 \tabularnewline
109 & 0.733377 & 0.533246 & 0.266623 \tabularnewline
110 & 0.73545 & 0.5291 & 0.26455 \tabularnewline
111 & 0.761359 & 0.477281 & 0.238641 \tabularnewline
112 & 0.735128 & 0.529744 & 0.264872 \tabularnewline
113 & 0.906257 & 0.187486 & 0.093743 \tabularnewline
114 & 0.896549 & 0.206901 & 0.103451 \tabularnewline
115 & 0.907326 & 0.185348 & 0.0926739 \tabularnewline
116 & 0.903551 & 0.192897 & 0.0964487 \tabularnewline
117 & 0.894189 & 0.211622 & 0.105811 \tabularnewline
118 & 0.894995 & 0.210011 & 0.105005 \tabularnewline
119 & 0.881293 & 0.237414 & 0.118707 \tabularnewline
120 & 0.865437 & 0.269126 & 0.134563 \tabularnewline
121 & 0.847731 & 0.304538 & 0.152269 \tabularnewline
122 & 0.833454 & 0.333091 & 0.166546 \tabularnewline
123 & 0.81905 & 0.3619 & 0.18095 \tabularnewline
124 & 0.855089 & 0.289822 & 0.144911 \tabularnewline
125 & 0.847887 & 0.304227 & 0.152113 \tabularnewline
126 & 0.829041 & 0.341918 & 0.170959 \tabularnewline
127 & 0.846759 & 0.306482 & 0.153241 \tabularnewline
128 & 0.846436 & 0.307127 & 0.153564 \tabularnewline
129 & 0.90389 & 0.192221 & 0.0961103 \tabularnewline
130 & 0.890408 & 0.219183 & 0.109592 \tabularnewline
131 & 0.89194 & 0.21612 & 0.10806 \tabularnewline
132 & 0.886523 & 0.226954 & 0.113477 \tabularnewline
133 & 0.869615 & 0.26077 & 0.130385 \tabularnewline
134 & 0.854905 & 0.29019 & 0.145095 \tabularnewline
135 & 0.838334 & 0.323333 & 0.161666 \tabularnewline
136 & 0.836883 & 0.326233 & 0.163117 \tabularnewline
137 & 0.818168 & 0.363665 & 0.181832 \tabularnewline
138 & 0.820681 & 0.358638 & 0.179319 \tabularnewline
139 & 0.88683 & 0.226341 & 0.11317 \tabularnewline
140 & 0.870742 & 0.258515 & 0.129258 \tabularnewline
141 & 0.861497 & 0.277007 & 0.138503 \tabularnewline
142 & 0.920664 & 0.158673 & 0.0793364 \tabularnewline
143 & 0.914118 & 0.171765 & 0.0858824 \tabularnewline
144 & 0.900193 & 0.199614 & 0.0998071 \tabularnewline
145 & 0.893101 & 0.213799 & 0.106899 \tabularnewline
146 & 0.880616 & 0.238768 & 0.119384 \tabularnewline
147 & 0.86282 & 0.274359 & 0.13718 \tabularnewline
148 & 0.846361 & 0.307278 & 0.153639 \tabularnewline
149 & 0.829989 & 0.340023 & 0.170011 \tabularnewline
150 & 0.813281 & 0.373437 & 0.186719 \tabularnewline
151 & 0.789593 & 0.420814 & 0.210407 \tabularnewline
152 & 0.764612 & 0.470775 & 0.235388 \tabularnewline
153 & 0.742144 & 0.515711 & 0.257856 \tabularnewline
154 & 0.718519 & 0.562962 & 0.281481 \tabularnewline
155 & 0.702484 & 0.595033 & 0.297516 \tabularnewline
156 & 0.673511 & 0.652979 & 0.326489 \tabularnewline
157 & 0.64366 & 0.71268 & 0.35634 \tabularnewline
158 & 0.629157 & 0.741685 & 0.370843 \tabularnewline
159 & 0.597033 & 0.805935 & 0.402967 \tabularnewline
160 & 0.564797 & 0.870406 & 0.435203 \tabularnewline
161 & 0.556054 & 0.887892 & 0.443946 \tabularnewline
162 & 0.540734 & 0.918532 & 0.459266 \tabularnewline
163 & 0.527771 & 0.944457 & 0.472229 \tabularnewline
164 & 0.493034 & 0.986069 & 0.506966 \tabularnewline
165 & 0.490121 & 0.980242 & 0.509879 \tabularnewline
166 & 0.610523 & 0.778953 & 0.389477 \tabularnewline
167 & 0.599229 & 0.801543 & 0.400771 \tabularnewline
168 & 0.564849 & 0.870303 & 0.435151 \tabularnewline
169 & 0.530794 & 0.938412 & 0.469206 \tabularnewline
170 & 0.539496 & 0.921009 & 0.460504 \tabularnewline
171 & 0.517253 & 0.965493 & 0.482747 \tabularnewline
172 & 0.548577 & 0.902847 & 0.451423 \tabularnewline
173 & 0.513336 & 0.973327 & 0.486664 \tabularnewline
174 & 0.510455 & 0.979091 & 0.489545 \tabularnewline
175 & 0.475848 & 0.951697 & 0.524152 \tabularnewline
176 & 0.441356 & 0.882712 & 0.558644 \tabularnewline
177 & 0.410275 & 0.820551 & 0.589725 \tabularnewline
178 & 0.390847 & 0.781694 & 0.609153 \tabularnewline
179 & 0.371815 & 0.743629 & 0.628185 \tabularnewline
180 & 0.350542 & 0.701083 & 0.649458 \tabularnewline
181 & 0.522715 & 0.954569 & 0.477285 \tabularnewline
182 & 0.541322 & 0.917355 & 0.458678 \tabularnewline
183 & 0.633108 & 0.733784 & 0.366892 \tabularnewline
184 & 0.59923 & 0.801539 & 0.40077 \tabularnewline
185 & 0.570249 & 0.859503 & 0.429751 \tabularnewline
186 & 0.547387 & 0.905226 & 0.452613 \tabularnewline
187 & 0.512234 & 0.975532 & 0.487766 \tabularnewline
188 & 0.4906 & 0.981201 & 0.5094 \tabularnewline
189 & 0.473098 & 0.946197 & 0.526902 \tabularnewline
190 & 0.481488 & 0.962976 & 0.518512 \tabularnewline
191 & 0.459946 & 0.919891 & 0.540054 \tabularnewline
192 & 0.424574 & 0.849148 & 0.575426 \tabularnewline
193 & 0.392981 & 0.785962 & 0.607019 \tabularnewline
194 & 0.372752 & 0.745505 & 0.627248 \tabularnewline
195 & 0.338922 & 0.677843 & 0.661078 \tabularnewline
196 & 0.399567 & 0.799135 & 0.600433 \tabularnewline
197 & 0.381313 & 0.762627 & 0.618687 \tabularnewline
198 & 0.345978 & 0.691956 & 0.654022 \tabularnewline
199 & 0.329213 & 0.658426 & 0.670787 \tabularnewline
200 & 0.328616 & 0.657232 & 0.671384 \tabularnewline
201 & 0.295796 & 0.591591 & 0.704204 \tabularnewline
202 & 0.293479 & 0.586958 & 0.706521 \tabularnewline
203 & 0.273131 & 0.546263 & 0.726869 \tabularnewline
204 & 0.248941 & 0.497882 & 0.751059 \tabularnewline
205 & 0.232734 & 0.465468 & 0.767266 \tabularnewline
206 & 0.239761 & 0.479521 & 0.760239 \tabularnewline
207 & 0.213058 & 0.426116 & 0.786942 \tabularnewline
208 & 0.22301 & 0.44602 & 0.77699 \tabularnewline
209 & 0.196695 & 0.393391 & 0.803305 \tabularnewline
210 & 0.41354 & 0.827079 & 0.58646 \tabularnewline
211 & 0.687763 & 0.624475 & 0.312237 \tabularnewline
212 & 0.675392 & 0.649216 & 0.324608 \tabularnewline
213 & 0.686735 & 0.626531 & 0.313265 \tabularnewline
214 & 0.649903 & 0.700194 & 0.350097 \tabularnewline
215 & 0.861968 & 0.276063 & 0.138032 \tabularnewline
216 & 0.860807 & 0.278386 & 0.139193 \tabularnewline
217 & 0.840646 & 0.318708 & 0.159354 \tabularnewline
218 & 0.815502 & 0.368995 & 0.184498 \tabularnewline
219 & 0.814887 & 0.370227 & 0.185113 \tabularnewline
220 & 0.79459 & 0.41082 & 0.20541 \tabularnewline
221 & 0.773673 & 0.452654 & 0.226327 \tabularnewline
222 & 0.741551 & 0.516898 & 0.258449 \tabularnewline
223 & 0.858663 & 0.282674 & 0.141337 \tabularnewline
224 & 0.834174 & 0.331651 & 0.165826 \tabularnewline
225 & 0.831541 & 0.336917 & 0.168459 \tabularnewline
226 & 0.806944 & 0.386111 & 0.193056 \tabularnewline
227 & 0.781196 & 0.437608 & 0.218804 \tabularnewline
228 & 0.747055 & 0.50589 & 0.252945 \tabularnewline
229 & 0.708828 & 0.582344 & 0.291172 \tabularnewline
230 & 0.74662 & 0.50676 & 0.25338 \tabularnewline
231 & 0.708734 & 0.582531 & 0.291266 \tabularnewline
232 & 0.675732 & 0.648535 & 0.324268 \tabularnewline
233 & 0.639848 & 0.720304 & 0.360152 \tabularnewline
234 & 0.615053 & 0.769895 & 0.384947 \tabularnewline
235 & 0.57216 & 0.85568 & 0.42784 \tabularnewline
236 & 0.669583 & 0.660834 & 0.330417 \tabularnewline
237 & 0.630388 & 0.739224 & 0.369612 \tabularnewline
238 & 0.772254 & 0.455493 & 0.227746 \tabularnewline
239 & 0.736647 & 0.526706 & 0.263353 \tabularnewline
240 & 0.705714 & 0.588572 & 0.294286 \tabularnewline
241 & 0.766233 & 0.467533 & 0.233767 \tabularnewline
242 & 0.730464 & 0.539072 & 0.269536 \tabularnewline
243 & 0.71081 & 0.57838 & 0.28919 \tabularnewline
244 & 0.664904 & 0.670193 & 0.335096 \tabularnewline
245 & 0.730279 & 0.539443 & 0.269721 \tabularnewline
246 & 0.805614 & 0.388771 & 0.194386 \tabularnewline
247 & 0.76816 & 0.463681 & 0.23184 \tabularnewline
248 & 0.790699 & 0.418601 & 0.209301 \tabularnewline
249 & 0.749727 & 0.500547 & 0.250273 \tabularnewline
250 & 0.708455 & 0.58309 & 0.291545 \tabularnewline
251 & 0.653315 & 0.69337 & 0.346685 \tabularnewline
252 & 0.593963 & 0.812075 & 0.406037 \tabularnewline
253 & 0.543462 & 0.913076 & 0.456538 \tabularnewline
254 & 0.491786 & 0.983572 & 0.508214 \tabularnewline
255 & 0.716856 & 0.566289 & 0.283144 \tabularnewline
256 & 0.665706 & 0.668587 & 0.334294 \tabularnewline
257 & 0.612046 & 0.775908 & 0.387954 \tabularnewline
258 & 0.592222 & 0.815555 & 0.407778 \tabularnewline
259 & 0.535939 & 0.928122 & 0.464061 \tabularnewline
260 & 0.570607 & 0.858786 & 0.429393 \tabularnewline
261 & 0.497389 & 0.994778 & 0.502611 \tabularnewline
262 & 0.422544 & 0.845089 & 0.577456 \tabularnewline
263 & 0.544102 & 0.911796 & 0.455898 \tabularnewline
264 & 0.829028 & 0.341945 & 0.170972 \tabularnewline
265 & 0.948505 & 0.102991 & 0.0514953 \tabularnewline
266 & 0.916501 & 0.166997 & 0.0834987 \tabularnewline
267 & 0.864383 & 0.271234 & 0.135617 \tabularnewline
268 & 0.870458 & 0.259083 & 0.129542 \tabularnewline
269 & 0.797255 & 0.40549 & 0.202745 \tabularnewline
270 & 0.699448 & 0.601104 & 0.300552 \tabularnewline
271 & 0.904992 & 0.190015 & 0.0950076 \tabularnewline
272 & 0.942737 & 0.114526 & 0.0572631 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267831&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]7[/C][C]0.771883[/C][C]0.456234[/C][C]0.228117[/C][/ROW]
[ROW][C]8[/C][C]0.673743[/C][C]0.652514[/C][C]0.326257[/C][/ROW]
[ROW][C]9[/C][C]0.77015[/C][C]0.4597[/C][C]0.22985[/C][/ROW]
[ROW][C]10[/C][C]0.788836[/C][C]0.422328[/C][C]0.211164[/C][/ROW]
[ROW][C]11[/C][C]0.710174[/C][C]0.579652[/C][C]0.289826[/C][/ROW]
[ROW][C]12[/C][C]0.61368[/C][C]0.772639[/C][C]0.38632[/C][/ROW]
[ROW][C]13[/C][C]0.567624[/C][C]0.864753[/C][C]0.432376[/C][/ROW]
[ROW][C]14[/C][C]0.524394[/C][C]0.951212[/C][C]0.475606[/C][/ROW]
[ROW][C]15[/C][C]0.693403[/C][C]0.613195[/C][C]0.306597[/C][/ROW]
[ROW][C]16[/C][C]0.634536[/C][C]0.730929[/C][C]0.365464[/C][/ROW]
[ROW][C]17[/C][C]0.625063[/C][C]0.749875[/C][C]0.374937[/C][/ROW]
[ROW][C]18[/C][C]0.548289[/C][C]0.903421[/C][C]0.451711[/C][/ROW]
[ROW][C]19[/C][C]0.496219[/C][C]0.992438[/C][C]0.503781[/C][/ROW]
[ROW][C]20[/C][C]0.45048[/C][C]0.900961[/C][C]0.54952[/C][/ROW]
[ROW][C]21[/C][C]0.517895[/C][C]0.964209[/C][C]0.482105[/C][/ROW]
[ROW][C]22[/C][C]0.459813[/C][C]0.919625[/C][C]0.540187[/C][/ROW]
[ROW][C]23[/C][C]0.434091[/C][C]0.868182[/C][C]0.565909[/C][/ROW]
[ROW][C]24[/C][C]0.582931[/C][C]0.834138[/C][C]0.417069[/C][/ROW]
[ROW][C]25[/C][C]0.518092[/C][C]0.963817[/C][C]0.481908[/C][/ROW]
[ROW][C]26[/C][C]0.454374[/C][C]0.908748[/C][C]0.545626[/C][/ROW]
[ROW][C]27[/C][C]0.394238[/C][C]0.788476[/C][C]0.605762[/C][/ROW]
[ROW][C]28[/C][C]0.365209[/C][C]0.730419[/C][C]0.634791[/C][/ROW]
[ROW][C]29[/C][C]0.30919[/C][C]0.618379[/C][C]0.69081[/C][/ROW]
[ROW][C]30[/C][C]0.315977[/C][C]0.631953[/C][C]0.684023[/C][/ROW]
[ROW][C]31[/C][C]0.275883[/C][C]0.551767[/C][C]0.724117[/C][/ROW]
[ROW][C]32[/C][C]0.243905[/C][C]0.487809[/C][C]0.756095[/C][/ROW]
[ROW][C]33[/C][C]0.200816[/C][C]0.401632[/C][C]0.799184[/C][/ROW]
[ROW][C]34[/C][C]0.187472[/C][C]0.374944[/C][C]0.812528[/C][/ROW]
[ROW][C]35[/C][C]0.16335[/C][C]0.3267[/C][C]0.83665[/C][/ROW]
[ROW][C]36[/C][C]0.247038[/C][C]0.494077[/C][C]0.752962[/C][/ROW]
[ROW][C]37[/C][C]0.495751[/C][C]0.991501[/C][C]0.504249[/C][/ROW]
[ROW][C]38[/C][C]0.477977[/C][C]0.955953[/C][C]0.522023[/C][/ROW]
[ROW][C]39[/C][C]0.433044[/C][C]0.866089[/C][C]0.566956[/C][/ROW]
[ROW][C]40[/C][C]0.479543[/C][C]0.959086[/C][C]0.520457[/C][/ROW]
[ROW][C]41[/C][C]0.434961[/C][C]0.869922[/C][C]0.565039[/C][/ROW]
[ROW][C]42[/C][C]0.408485[/C][C]0.81697[/C][C]0.591515[/C][/ROW]
[ROW][C]43[/C][C]0.393861[/C][C]0.787722[/C][C]0.606139[/C][/ROW]
[ROW][C]44[/C][C]0.407146[/C][C]0.814293[/C][C]0.592854[/C][/ROW]
[ROW][C]45[/C][C]0.40759[/C][C]0.815179[/C][C]0.59241[/C][/ROW]
[ROW][C]46[/C][C]0.660402[/C][C]0.679196[/C][C]0.339598[/C][/ROW]
[ROW][C]47[/C][C]0.634788[/C][C]0.730424[/C][C]0.365212[/C][/ROW]
[ROW][C]48[/C][C]0.593006[/C][C]0.813989[/C][C]0.406994[/C][/ROW]
[ROW][C]49[/C][C]0.78697[/C][C]0.42606[/C][C]0.21303[/C][/ROW]
[ROW][C]50[/C][C]0.755911[/C][C]0.488179[/C][C]0.244089[/C][/ROW]
[ROW][C]51[/C][C]0.719444[/C][C]0.561112[/C][C]0.280556[/C][/ROW]
[ROW][C]52[/C][C]0.693214[/C][C]0.613572[/C][C]0.306786[/C][/ROW]
[ROW][C]53[/C][C]0.683006[/C][C]0.633987[/C][C]0.316994[/C][/ROW]
[ROW][C]54[/C][C]0.750871[/C][C]0.498258[/C][C]0.249129[/C][/ROW]
[ROW][C]55[/C][C]0.807672[/C][C]0.384656[/C][C]0.192328[/C][/ROW]
[ROW][C]56[/C][C]0.777478[/C][C]0.445043[/C][C]0.222522[/C][/ROW]
[ROW][C]57[/C][C]0.74985[/C][C]0.500301[/C][C]0.25015[/C][/ROW]
[ROW][C]58[/C][C]0.734015[/C][C]0.53197[/C][C]0.265985[/C][/ROW]
[ROW][C]59[/C][C]0.771001[/C][C]0.457998[/C][C]0.228999[/C][/ROW]
[ROW][C]60[/C][C]0.755984[/C][C]0.488033[/C][C]0.244016[/C][/ROW]
[ROW][C]61[/C][C]0.723567[/C][C]0.552867[/C][C]0.276433[/C][/ROW]
[ROW][C]62[/C][C]0.742987[/C][C]0.514025[/C][C]0.257013[/C][/ROW]
[ROW][C]63[/C][C]0.808243[/C][C]0.383514[/C][C]0.191757[/C][/ROW]
[ROW][C]64[/C][C]0.79598[/C][C]0.40804[/C][C]0.20402[/C][/ROW]
[ROW][C]65[/C][C]0.785825[/C][C]0.428349[/C][C]0.214175[/C][/ROW]
[ROW][C]66[/C][C]0.767699[/C][C]0.464601[/C][C]0.232301[/C][/ROW]
[ROW][C]67[/C][C]0.737262[/C][C]0.525475[/C][C]0.262738[/C][/ROW]
[ROW][C]68[/C][C]0.705971[/C][C]0.588059[/C][C]0.294029[/C][/ROW]
[ROW][C]69[/C][C]0.675056[/C][C]0.649887[/C][C]0.324944[/C][/ROW]
[ROW][C]70[/C][C]0.647468[/C][C]0.705063[/C][C]0.352532[/C][/ROW]
[ROW][C]71[/C][C]0.652937[/C][C]0.694127[/C][C]0.347063[/C][/ROW]
[ROW][C]72[/C][C]0.616318[/C][C]0.767365[/C][C]0.383682[/C][/ROW]
[ROW][C]73[/C][C]0.63352[/C][C]0.732959[/C][C]0.36648[/C][/ROW]
[ROW][C]74[/C][C]0.768013[/C][C]0.463975[/C][C]0.231987[/C][/ROW]
[ROW][C]75[/C][C]0.880852[/C][C]0.238297[/C][C]0.119148[/C][/ROW]
[ROW][C]76[/C][C]0.869591[/C][C]0.260818[/C][C]0.130409[/C][/ROW]
[ROW][C]77[/C][C]0.854375[/C][C]0.291249[/C][C]0.145625[/C][/ROW]
[ROW][C]78[/C][C]0.839968[/C][C]0.320064[/C][C]0.160032[/C][/ROW]
[ROW][C]79[/C][C]0.816891[/C][C]0.366218[/C][C]0.183109[/C][/ROW]
[ROW][C]80[/C][C]0.792487[/C][C]0.415026[/C][C]0.207513[/C][/ROW]
[ROW][C]81[/C][C]0.77788[/C][C]0.444241[/C][C]0.22212[/C][/ROW]
[ROW][C]82[/C][C]0.749103[/C][C]0.501794[/C][C]0.250897[/C][/ROW]
[ROW][C]83[/C][C]0.725278[/C][C]0.549445[/C][C]0.274722[/C][/ROW]
[ROW][C]84[/C][C]0.711581[/C][C]0.576837[/C][C]0.288419[/C][/ROW]
[ROW][C]85[/C][C]0.687901[/C][C]0.624198[/C][C]0.312099[/C][/ROW]
[ROW][C]86[/C][C]0.683343[/C][C]0.633315[/C][C]0.316657[/C][/ROW]
[ROW][C]87[/C][C]0.661723[/C][C]0.676555[/C][C]0.338277[/C][/ROW]
[ROW][C]88[/C][C]0.637412[/C][C]0.725177[/C][C]0.362588[/C][/ROW]
[ROW][C]89[/C][C]0.699626[/C][C]0.600748[/C][C]0.300374[/C][/ROW]
[ROW][C]90[/C][C]0.690538[/C][C]0.618924[/C][C]0.309462[/C][/ROW]
[ROW][C]91[/C][C]0.679616[/C][C]0.640768[/C][C]0.320384[/C][/ROW]
[ROW][C]92[/C][C]0.668447[/C][C]0.663106[/C][C]0.331553[/C][/ROW]
[ROW][C]93[/C][C]0.640752[/C][C]0.718496[/C][C]0.359248[/C][/ROW]
[ROW][C]94[/C][C]0.686367[/C][C]0.627265[/C][C]0.313633[/C][/ROW]
[ROW][C]95[/C][C]0.661883[/C][C]0.676234[/C][C]0.338117[/C][/ROW]
[ROW][C]96[/C][C]0.634961[/C][C]0.730077[/C][C]0.365039[/C][/ROW]
[ROW][C]97[/C][C]0.608025[/C][C]0.78395[/C][C]0.391975[/C][/ROW]
[ROW][C]98[/C][C]0.574792[/C][C]0.850415[/C][C]0.425208[/C][/ROW]
[ROW][C]99[/C][C]0.564421[/C][C]0.871158[/C][C]0.435579[/C][/ROW]
[ROW][C]100[/C][C]0.690162[/C][C]0.619676[/C][C]0.309838[/C][/ROW]
[ROW][C]101[/C][C]0.754246[/C][C]0.491509[/C][C]0.245754[/C][/ROW]
[ROW][C]102[/C][C]0.73652[/C][C]0.52696[/C][C]0.26348[/C][/ROW]
[ROW][C]103[/C][C]0.715044[/C][C]0.569911[/C][C]0.284956[/C][/ROW]
[ROW][C]104[/C][C]0.715704[/C][C]0.568592[/C][C]0.284296[/C][/ROW]
[ROW][C]105[/C][C]0.735348[/C][C]0.529304[/C][C]0.264652[/C][/ROW]
[ROW][C]106[/C][C]0.728065[/C][C]0.54387[/C][C]0.271935[/C][/ROW]
[ROW][C]107[/C][C]0.7129[/C][C]0.5742[/C][C]0.2871[/C][/ROW]
[ROW][C]108[/C][C]0.760711[/C][C]0.478579[/C][C]0.239289[/C][/ROW]
[ROW][C]109[/C][C]0.733377[/C][C]0.533246[/C][C]0.266623[/C][/ROW]
[ROW][C]110[/C][C]0.73545[/C][C]0.5291[/C][C]0.26455[/C][/ROW]
[ROW][C]111[/C][C]0.761359[/C][C]0.477281[/C][C]0.238641[/C][/ROW]
[ROW][C]112[/C][C]0.735128[/C][C]0.529744[/C][C]0.264872[/C][/ROW]
[ROW][C]113[/C][C]0.906257[/C][C]0.187486[/C][C]0.093743[/C][/ROW]
[ROW][C]114[/C][C]0.896549[/C][C]0.206901[/C][C]0.103451[/C][/ROW]
[ROW][C]115[/C][C]0.907326[/C][C]0.185348[/C][C]0.0926739[/C][/ROW]
[ROW][C]116[/C][C]0.903551[/C][C]0.192897[/C][C]0.0964487[/C][/ROW]
[ROW][C]117[/C][C]0.894189[/C][C]0.211622[/C][C]0.105811[/C][/ROW]
[ROW][C]118[/C][C]0.894995[/C][C]0.210011[/C][C]0.105005[/C][/ROW]
[ROW][C]119[/C][C]0.881293[/C][C]0.237414[/C][C]0.118707[/C][/ROW]
[ROW][C]120[/C][C]0.865437[/C][C]0.269126[/C][C]0.134563[/C][/ROW]
[ROW][C]121[/C][C]0.847731[/C][C]0.304538[/C][C]0.152269[/C][/ROW]
[ROW][C]122[/C][C]0.833454[/C][C]0.333091[/C][C]0.166546[/C][/ROW]
[ROW][C]123[/C][C]0.81905[/C][C]0.3619[/C][C]0.18095[/C][/ROW]
[ROW][C]124[/C][C]0.855089[/C][C]0.289822[/C][C]0.144911[/C][/ROW]
[ROW][C]125[/C][C]0.847887[/C][C]0.304227[/C][C]0.152113[/C][/ROW]
[ROW][C]126[/C][C]0.829041[/C][C]0.341918[/C][C]0.170959[/C][/ROW]
[ROW][C]127[/C][C]0.846759[/C][C]0.306482[/C][C]0.153241[/C][/ROW]
[ROW][C]128[/C][C]0.846436[/C][C]0.307127[/C][C]0.153564[/C][/ROW]
[ROW][C]129[/C][C]0.90389[/C][C]0.192221[/C][C]0.0961103[/C][/ROW]
[ROW][C]130[/C][C]0.890408[/C][C]0.219183[/C][C]0.109592[/C][/ROW]
[ROW][C]131[/C][C]0.89194[/C][C]0.21612[/C][C]0.10806[/C][/ROW]
[ROW][C]132[/C][C]0.886523[/C][C]0.226954[/C][C]0.113477[/C][/ROW]
[ROW][C]133[/C][C]0.869615[/C][C]0.26077[/C][C]0.130385[/C][/ROW]
[ROW][C]134[/C][C]0.854905[/C][C]0.29019[/C][C]0.145095[/C][/ROW]
[ROW][C]135[/C][C]0.838334[/C][C]0.323333[/C][C]0.161666[/C][/ROW]
[ROW][C]136[/C][C]0.836883[/C][C]0.326233[/C][C]0.163117[/C][/ROW]
[ROW][C]137[/C][C]0.818168[/C][C]0.363665[/C][C]0.181832[/C][/ROW]
[ROW][C]138[/C][C]0.820681[/C][C]0.358638[/C][C]0.179319[/C][/ROW]
[ROW][C]139[/C][C]0.88683[/C][C]0.226341[/C][C]0.11317[/C][/ROW]
[ROW][C]140[/C][C]0.870742[/C][C]0.258515[/C][C]0.129258[/C][/ROW]
[ROW][C]141[/C][C]0.861497[/C][C]0.277007[/C][C]0.138503[/C][/ROW]
[ROW][C]142[/C][C]0.920664[/C][C]0.158673[/C][C]0.0793364[/C][/ROW]
[ROW][C]143[/C][C]0.914118[/C][C]0.171765[/C][C]0.0858824[/C][/ROW]
[ROW][C]144[/C][C]0.900193[/C][C]0.199614[/C][C]0.0998071[/C][/ROW]
[ROW][C]145[/C][C]0.893101[/C][C]0.213799[/C][C]0.106899[/C][/ROW]
[ROW][C]146[/C][C]0.880616[/C][C]0.238768[/C][C]0.119384[/C][/ROW]
[ROW][C]147[/C][C]0.86282[/C][C]0.274359[/C][C]0.13718[/C][/ROW]
[ROW][C]148[/C][C]0.846361[/C][C]0.307278[/C][C]0.153639[/C][/ROW]
[ROW][C]149[/C][C]0.829989[/C][C]0.340023[/C][C]0.170011[/C][/ROW]
[ROW][C]150[/C][C]0.813281[/C][C]0.373437[/C][C]0.186719[/C][/ROW]
[ROW][C]151[/C][C]0.789593[/C][C]0.420814[/C][C]0.210407[/C][/ROW]
[ROW][C]152[/C][C]0.764612[/C][C]0.470775[/C][C]0.235388[/C][/ROW]
[ROW][C]153[/C][C]0.742144[/C][C]0.515711[/C][C]0.257856[/C][/ROW]
[ROW][C]154[/C][C]0.718519[/C][C]0.562962[/C][C]0.281481[/C][/ROW]
[ROW][C]155[/C][C]0.702484[/C][C]0.595033[/C][C]0.297516[/C][/ROW]
[ROW][C]156[/C][C]0.673511[/C][C]0.652979[/C][C]0.326489[/C][/ROW]
[ROW][C]157[/C][C]0.64366[/C][C]0.71268[/C][C]0.35634[/C][/ROW]
[ROW][C]158[/C][C]0.629157[/C][C]0.741685[/C][C]0.370843[/C][/ROW]
[ROW][C]159[/C][C]0.597033[/C][C]0.805935[/C][C]0.402967[/C][/ROW]
[ROW][C]160[/C][C]0.564797[/C][C]0.870406[/C][C]0.435203[/C][/ROW]
[ROW][C]161[/C][C]0.556054[/C][C]0.887892[/C][C]0.443946[/C][/ROW]
[ROW][C]162[/C][C]0.540734[/C][C]0.918532[/C][C]0.459266[/C][/ROW]
[ROW][C]163[/C][C]0.527771[/C][C]0.944457[/C][C]0.472229[/C][/ROW]
[ROW][C]164[/C][C]0.493034[/C][C]0.986069[/C][C]0.506966[/C][/ROW]
[ROW][C]165[/C][C]0.490121[/C][C]0.980242[/C][C]0.509879[/C][/ROW]
[ROW][C]166[/C][C]0.610523[/C][C]0.778953[/C][C]0.389477[/C][/ROW]
[ROW][C]167[/C][C]0.599229[/C][C]0.801543[/C][C]0.400771[/C][/ROW]
[ROW][C]168[/C][C]0.564849[/C][C]0.870303[/C][C]0.435151[/C][/ROW]
[ROW][C]169[/C][C]0.530794[/C][C]0.938412[/C][C]0.469206[/C][/ROW]
[ROW][C]170[/C][C]0.539496[/C][C]0.921009[/C][C]0.460504[/C][/ROW]
[ROW][C]171[/C][C]0.517253[/C][C]0.965493[/C][C]0.482747[/C][/ROW]
[ROW][C]172[/C][C]0.548577[/C][C]0.902847[/C][C]0.451423[/C][/ROW]
[ROW][C]173[/C][C]0.513336[/C][C]0.973327[/C][C]0.486664[/C][/ROW]
[ROW][C]174[/C][C]0.510455[/C][C]0.979091[/C][C]0.489545[/C][/ROW]
[ROW][C]175[/C][C]0.475848[/C][C]0.951697[/C][C]0.524152[/C][/ROW]
[ROW][C]176[/C][C]0.441356[/C][C]0.882712[/C][C]0.558644[/C][/ROW]
[ROW][C]177[/C][C]0.410275[/C][C]0.820551[/C][C]0.589725[/C][/ROW]
[ROW][C]178[/C][C]0.390847[/C][C]0.781694[/C][C]0.609153[/C][/ROW]
[ROW][C]179[/C][C]0.371815[/C][C]0.743629[/C][C]0.628185[/C][/ROW]
[ROW][C]180[/C][C]0.350542[/C][C]0.701083[/C][C]0.649458[/C][/ROW]
[ROW][C]181[/C][C]0.522715[/C][C]0.954569[/C][C]0.477285[/C][/ROW]
[ROW][C]182[/C][C]0.541322[/C][C]0.917355[/C][C]0.458678[/C][/ROW]
[ROW][C]183[/C][C]0.633108[/C][C]0.733784[/C][C]0.366892[/C][/ROW]
[ROW][C]184[/C][C]0.59923[/C][C]0.801539[/C][C]0.40077[/C][/ROW]
[ROW][C]185[/C][C]0.570249[/C][C]0.859503[/C][C]0.429751[/C][/ROW]
[ROW][C]186[/C][C]0.547387[/C][C]0.905226[/C][C]0.452613[/C][/ROW]
[ROW][C]187[/C][C]0.512234[/C][C]0.975532[/C][C]0.487766[/C][/ROW]
[ROW][C]188[/C][C]0.4906[/C][C]0.981201[/C][C]0.5094[/C][/ROW]
[ROW][C]189[/C][C]0.473098[/C][C]0.946197[/C][C]0.526902[/C][/ROW]
[ROW][C]190[/C][C]0.481488[/C][C]0.962976[/C][C]0.518512[/C][/ROW]
[ROW][C]191[/C][C]0.459946[/C][C]0.919891[/C][C]0.540054[/C][/ROW]
[ROW][C]192[/C][C]0.424574[/C][C]0.849148[/C][C]0.575426[/C][/ROW]
[ROW][C]193[/C][C]0.392981[/C][C]0.785962[/C][C]0.607019[/C][/ROW]
[ROW][C]194[/C][C]0.372752[/C][C]0.745505[/C][C]0.627248[/C][/ROW]
[ROW][C]195[/C][C]0.338922[/C][C]0.677843[/C][C]0.661078[/C][/ROW]
[ROW][C]196[/C][C]0.399567[/C][C]0.799135[/C][C]0.600433[/C][/ROW]
[ROW][C]197[/C][C]0.381313[/C][C]0.762627[/C][C]0.618687[/C][/ROW]
[ROW][C]198[/C][C]0.345978[/C][C]0.691956[/C][C]0.654022[/C][/ROW]
[ROW][C]199[/C][C]0.329213[/C][C]0.658426[/C][C]0.670787[/C][/ROW]
[ROW][C]200[/C][C]0.328616[/C][C]0.657232[/C][C]0.671384[/C][/ROW]
[ROW][C]201[/C][C]0.295796[/C][C]0.591591[/C][C]0.704204[/C][/ROW]
[ROW][C]202[/C][C]0.293479[/C][C]0.586958[/C][C]0.706521[/C][/ROW]
[ROW][C]203[/C][C]0.273131[/C][C]0.546263[/C][C]0.726869[/C][/ROW]
[ROW][C]204[/C][C]0.248941[/C][C]0.497882[/C][C]0.751059[/C][/ROW]
[ROW][C]205[/C][C]0.232734[/C][C]0.465468[/C][C]0.767266[/C][/ROW]
[ROW][C]206[/C][C]0.239761[/C][C]0.479521[/C][C]0.760239[/C][/ROW]
[ROW][C]207[/C][C]0.213058[/C][C]0.426116[/C][C]0.786942[/C][/ROW]
[ROW][C]208[/C][C]0.22301[/C][C]0.44602[/C][C]0.77699[/C][/ROW]
[ROW][C]209[/C][C]0.196695[/C][C]0.393391[/C][C]0.803305[/C][/ROW]
[ROW][C]210[/C][C]0.41354[/C][C]0.827079[/C][C]0.58646[/C][/ROW]
[ROW][C]211[/C][C]0.687763[/C][C]0.624475[/C][C]0.312237[/C][/ROW]
[ROW][C]212[/C][C]0.675392[/C][C]0.649216[/C][C]0.324608[/C][/ROW]
[ROW][C]213[/C][C]0.686735[/C][C]0.626531[/C][C]0.313265[/C][/ROW]
[ROW][C]214[/C][C]0.649903[/C][C]0.700194[/C][C]0.350097[/C][/ROW]
[ROW][C]215[/C][C]0.861968[/C][C]0.276063[/C][C]0.138032[/C][/ROW]
[ROW][C]216[/C][C]0.860807[/C][C]0.278386[/C][C]0.139193[/C][/ROW]
[ROW][C]217[/C][C]0.840646[/C][C]0.318708[/C][C]0.159354[/C][/ROW]
[ROW][C]218[/C][C]0.815502[/C][C]0.368995[/C][C]0.184498[/C][/ROW]
[ROW][C]219[/C][C]0.814887[/C][C]0.370227[/C][C]0.185113[/C][/ROW]
[ROW][C]220[/C][C]0.79459[/C][C]0.41082[/C][C]0.20541[/C][/ROW]
[ROW][C]221[/C][C]0.773673[/C][C]0.452654[/C][C]0.226327[/C][/ROW]
[ROW][C]222[/C][C]0.741551[/C][C]0.516898[/C][C]0.258449[/C][/ROW]
[ROW][C]223[/C][C]0.858663[/C][C]0.282674[/C][C]0.141337[/C][/ROW]
[ROW][C]224[/C][C]0.834174[/C][C]0.331651[/C][C]0.165826[/C][/ROW]
[ROW][C]225[/C][C]0.831541[/C][C]0.336917[/C][C]0.168459[/C][/ROW]
[ROW][C]226[/C][C]0.806944[/C][C]0.386111[/C][C]0.193056[/C][/ROW]
[ROW][C]227[/C][C]0.781196[/C][C]0.437608[/C][C]0.218804[/C][/ROW]
[ROW][C]228[/C][C]0.747055[/C][C]0.50589[/C][C]0.252945[/C][/ROW]
[ROW][C]229[/C][C]0.708828[/C][C]0.582344[/C][C]0.291172[/C][/ROW]
[ROW][C]230[/C][C]0.74662[/C][C]0.50676[/C][C]0.25338[/C][/ROW]
[ROW][C]231[/C][C]0.708734[/C][C]0.582531[/C][C]0.291266[/C][/ROW]
[ROW][C]232[/C][C]0.675732[/C][C]0.648535[/C][C]0.324268[/C][/ROW]
[ROW][C]233[/C][C]0.639848[/C][C]0.720304[/C][C]0.360152[/C][/ROW]
[ROW][C]234[/C][C]0.615053[/C][C]0.769895[/C][C]0.384947[/C][/ROW]
[ROW][C]235[/C][C]0.57216[/C][C]0.85568[/C][C]0.42784[/C][/ROW]
[ROW][C]236[/C][C]0.669583[/C][C]0.660834[/C][C]0.330417[/C][/ROW]
[ROW][C]237[/C][C]0.630388[/C][C]0.739224[/C][C]0.369612[/C][/ROW]
[ROW][C]238[/C][C]0.772254[/C][C]0.455493[/C][C]0.227746[/C][/ROW]
[ROW][C]239[/C][C]0.736647[/C][C]0.526706[/C][C]0.263353[/C][/ROW]
[ROW][C]240[/C][C]0.705714[/C][C]0.588572[/C][C]0.294286[/C][/ROW]
[ROW][C]241[/C][C]0.766233[/C][C]0.467533[/C][C]0.233767[/C][/ROW]
[ROW][C]242[/C][C]0.730464[/C][C]0.539072[/C][C]0.269536[/C][/ROW]
[ROW][C]243[/C][C]0.71081[/C][C]0.57838[/C][C]0.28919[/C][/ROW]
[ROW][C]244[/C][C]0.664904[/C][C]0.670193[/C][C]0.335096[/C][/ROW]
[ROW][C]245[/C][C]0.730279[/C][C]0.539443[/C][C]0.269721[/C][/ROW]
[ROW][C]246[/C][C]0.805614[/C][C]0.388771[/C][C]0.194386[/C][/ROW]
[ROW][C]247[/C][C]0.76816[/C][C]0.463681[/C][C]0.23184[/C][/ROW]
[ROW][C]248[/C][C]0.790699[/C][C]0.418601[/C][C]0.209301[/C][/ROW]
[ROW][C]249[/C][C]0.749727[/C][C]0.500547[/C][C]0.250273[/C][/ROW]
[ROW][C]250[/C][C]0.708455[/C][C]0.58309[/C][C]0.291545[/C][/ROW]
[ROW][C]251[/C][C]0.653315[/C][C]0.69337[/C][C]0.346685[/C][/ROW]
[ROW][C]252[/C][C]0.593963[/C][C]0.812075[/C][C]0.406037[/C][/ROW]
[ROW][C]253[/C][C]0.543462[/C][C]0.913076[/C][C]0.456538[/C][/ROW]
[ROW][C]254[/C][C]0.491786[/C][C]0.983572[/C][C]0.508214[/C][/ROW]
[ROW][C]255[/C][C]0.716856[/C][C]0.566289[/C][C]0.283144[/C][/ROW]
[ROW][C]256[/C][C]0.665706[/C][C]0.668587[/C][C]0.334294[/C][/ROW]
[ROW][C]257[/C][C]0.612046[/C][C]0.775908[/C][C]0.387954[/C][/ROW]
[ROW][C]258[/C][C]0.592222[/C][C]0.815555[/C][C]0.407778[/C][/ROW]
[ROW][C]259[/C][C]0.535939[/C][C]0.928122[/C][C]0.464061[/C][/ROW]
[ROW][C]260[/C][C]0.570607[/C][C]0.858786[/C][C]0.429393[/C][/ROW]
[ROW][C]261[/C][C]0.497389[/C][C]0.994778[/C][C]0.502611[/C][/ROW]
[ROW][C]262[/C][C]0.422544[/C][C]0.845089[/C][C]0.577456[/C][/ROW]
[ROW][C]263[/C][C]0.544102[/C][C]0.911796[/C][C]0.455898[/C][/ROW]
[ROW][C]264[/C][C]0.829028[/C][C]0.341945[/C][C]0.170972[/C][/ROW]
[ROW][C]265[/C][C]0.948505[/C][C]0.102991[/C][C]0.0514953[/C][/ROW]
[ROW][C]266[/C][C]0.916501[/C][C]0.166997[/C][C]0.0834987[/C][/ROW]
[ROW][C]267[/C][C]0.864383[/C][C]0.271234[/C][C]0.135617[/C][/ROW]
[ROW][C]268[/C][C]0.870458[/C][C]0.259083[/C][C]0.129542[/C][/ROW]
[ROW][C]269[/C][C]0.797255[/C][C]0.40549[/C][C]0.202745[/C][/ROW]
[ROW][C]270[/C][C]0.699448[/C][C]0.601104[/C][C]0.300552[/C][/ROW]
[ROW][C]271[/C][C]0.904992[/C][C]0.190015[/C][C]0.0950076[/C][/ROW]
[ROW][C]272[/C][C]0.942737[/C][C]0.114526[/C][C]0.0572631[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267831&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267831&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.7718830.4562340.228117
80.6737430.6525140.326257
90.770150.45970.22985
100.7888360.4223280.211164
110.7101740.5796520.289826
120.613680.7726390.38632
130.5676240.8647530.432376
140.5243940.9512120.475606
150.6934030.6131950.306597
160.6345360.7309290.365464
170.6250630.7498750.374937
180.5482890.9034210.451711
190.4962190.9924380.503781
200.450480.9009610.54952
210.5178950.9642090.482105
220.4598130.9196250.540187
230.4340910.8681820.565909
240.5829310.8341380.417069
250.5180920.9638170.481908
260.4543740.9087480.545626
270.3942380.7884760.605762
280.3652090.7304190.634791
290.309190.6183790.69081
300.3159770.6319530.684023
310.2758830.5517670.724117
320.2439050.4878090.756095
330.2008160.4016320.799184
340.1874720.3749440.812528
350.163350.32670.83665
360.2470380.4940770.752962
370.4957510.9915010.504249
380.4779770.9559530.522023
390.4330440.8660890.566956
400.4795430.9590860.520457
410.4349610.8699220.565039
420.4084850.816970.591515
430.3938610.7877220.606139
440.4071460.8142930.592854
450.407590.8151790.59241
460.6604020.6791960.339598
470.6347880.7304240.365212
480.5930060.8139890.406994
490.786970.426060.21303
500.7559110.4881790.244089
510.7194440.5611120.280556
520.6932140.6135720.306786
530.6830060.6339870.316994
540.7508710.4982580.249129
550.8076720.3846560.192328
560.7774780.4450430.222522
570.749850.5003010.25015
580.7340150.531970.265985
590.7710010.4579980.228999
600.7559840.4880330.244016
610.7235670.5528670.276433
620.7429870.5140250.257013
630.8082430.3835140.191757
640.795980.408040.20402
650.7858250.4283490.214175
660.7676990.4646010.232301
670.7372620.5254750.262738
680.7059710.5880590.294029
690.6750560.6498870.324944
700.6474680.7050630.352532
710.6529370.6941270.347063
720.6163180.7673650.383682
730.633520.7329590.36648
740.7680130.4639750.231987
750.8808520.2382970.119148
760.8695910.2608180.130409
770.8543750.2912490.145625
780.8399680.3200640.160032
790.8168910.3662180.183109
800.7924870.4150260.207513
810.777880.4442410.22212
820.7491030.5017940.250897
830.7252780.5494450.274722
840.7115810.5768370.288419
850.6879010.6241980.312099
860.6833430.6333150.316657
870.6617230.6765550.338277
880.6374120.7251770.362588
890.6996260.6007480.300374
900.6905380.6189240.309462
910.6796160.6407680.320384
920.6684470.6631060.331553
930.6407520.7184960.359248
940.6863670.6272650.313633
950.6618830.6762340.338117
960.6349610.7300770.365039
970.6080250.783950.391975
980.5747920.8504150.425208
990.5644210.8711580.435579
1000.6901620.6196760.309838
1010.7542460.4915090.245754
1020.736520.526960.26348
1030.7150440.5699110.284956
1040.7157040.5685920.284296
1050.7353480.5293040.264652
1060.7280650.543870.271935
1070.71290.57420.2871
1080.7607110.4785790.239289
1090.7333770.5332460.266623
1100.735450.52910.26455
1110.7613590.4772810.238641
1120.7351280.5297440.264872
1130.9062570.1874860.093743
1140.8965490.2069010.103451
1150.9073260.1853480.0926739
1160.9035510.1928970.0964487
1170.8941890.2116220.105811
1180.8949950.2100110.105005
1190.8812930.2374140.118707
1200.8654370.2691260.134563
1210.8477310.3045380.152269
1220.8334540.3330910.166546
1230.819050.36190.18095
1240.8550890.2898220.144911
1250.8478870.3042270.152113
1260.8290410.3419180.170959
1270.8467590.3064820.153241
1280.8464360.3071270.153564
1290.903890.1922210.0961103
1300.8904080.2191830.109592
1310.891940.216120.10806
1320.8865230.2269540.113477
1330.8696150.260770.130385
1340.8549050.290190.145095
1350.8383340.3233330.161666
1360.8368830.3262330.163117
1370.8181680.3636650.181832
1380.8206810.3586380.179319
1390.886830.2263410.11317
1400.8707420.2585150.129258
1410.8614970.2770070.138503
1420.9206640.1586730.0793364
1430.9141180.1717650.0858824
1440.9001930.1996140.0998071
1450.8931010.2137990.106899
1460.8806160.2387680.119384
1470.862820.2743590.13718
1480.8463610.3072780.153639
1490.8299890.3400230.170011
1500.8132810.3734370.186719
1510.7895930.4208140.210407
1520.7646120.4707750.235388
1530.7421440.5157110.257856
1540.7185190.5629620.281481
1550.7024840.5950330.297516
1560.6735110.6529790.326489
1570.643660.712680.35634
1580.6291570.7416850.370843
1590.5970330.8059350.402967
1600.5647970.8704060.435203
1610.5560540.8878920.443946
1620.5407340.9185320.459266
1630.5277710.9444570.472229
1640.4930340.9860690.506966
1650.4901210.9802420.509879
1660.6105230.7789530.389477
1670.5992290.8015430.400771
1680.5648490.8703030.435151
1690.5307940.9384120.469206
1700.5394960.9210090.460504
1710.5172530.9654930.482747
1720.5485770.9028470.451423
1730.5133360.9733270.486664
1740.5104550.9790910.489545
1750.4758480.9516970.524152
1760.4413560.8827120.558644
1770.4102750.8205510.589725
1780.3908470.7816940.609153
1790.3718150.7436290.628185
1800.3505420.7010830.649458
1810.5227150.9545690.477285
1820.5413220.9173550.458678
1830.6331080.7337840.366892
1840.599230.8015390.40077
1850.5702490.8595030.429751
1860.5473870.9052260.452613
1870.5122340.9755320.487766
1880.49060.9812010.5094
1890.4730980.9461970.526902
1900.4814880.9629760.518512
1910.4599460.9198910.540054
1920.4245740.8491480.575426
1930.3929810.7859620.607019
1940.3727520.7455050.627248
1950.3389220.6778430.661078
1960.3995670.7991350.600433
1970.3813130.7626270.618687
1980.3459780.6919560.654022
1990.3292130.6584260.670787
2000.3286160.6572320.671384
2010.2957960.5915910.704204
2020.2934790.5869580.706521
2030.2731310.5462630.726869
2040.2489410.4978820.751059
2050.2327340.4654680.767266
2060.2397610.4795210.760239
2070.2130580.4261160.786942
2080.223010.446020.77699
2090.1966950.3933910.803305
2100.413540.8270790.58646
2110.6877630.6244750.312237
2120.6753920.6492160.324608
2130.6867350.6265310.313265
2140.6499030.7001940.350097
2150.8619680.2760630.138032
2160.8608070.2783860.139193
2170.8406460.3187080.159354
2180.8155020.3689950.184498
2190.8148870.3702270.185113
2200.794590.410820.20541
2210.7736730.4526540.226327
2220.7415510.5168980.258449
2230.8586630.2826740.141337
2240.8341740.3316510.165826
2250.8315410.3369170.168459
2260.8069440.3861110.193056
2270.7811960.4376080.218804
2280.7470550.505890.252945
2290.7088280.5823440.291172
2300.746620.506760.25338
2310.7087340.5825310.291266
2320.6757320.6485350.324268
2330.6398480.7203040.360152
2340.6150530.7698950.384947
2350.572160.855680.42784
2360.6695830.6608340.330417
2370.6303880.7392240.369612
2380.7722540.4554930.227746
2390.7366470.5267060.263353
2400.7057140.5885720.294286
2410.7662330.4675330.233767
2420.7304640.5390720.269536
2430.710810.578380.28919
2440.6649040.6701930.335096
2450.7302790.5394430.269721
2460.8056140.3887710.194386
2470.768160.4636810.23184
2480.7906990.4186010.209301
2490.7497270.5005470.250273
2500.7084550.583090.291545
2510.6533150.693370.346685
2520.5939630.8120750.406037
2530.5434620.9130760.456538
2540.4917860.9835720.508214
2550.7168560.5662890.283144
2560.6657060.6685870.334294
2570.6120460.7759080.387954
2580.5922220.8155550.407778
2590.5359390.9281220.464061
2600.5706070.8587860.429393
2610.4973890.9947780.502611
2620.4225440.8450890.577456
2630.5441020.9117960.455898
2640.8290280.3419450.170972
2650.9485050.1029910.0514953
2660.9165010.1669970.0834987
2670.8643830.2712340.135617
2680.8704580.2590830.129542
2690.7972550.405490.202745
2700.6994480.6011040.300552
2710.9049920.1900150.0950076
2720.9427370.1145260.0572631






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level00OK

\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 & 0 & 0 & OK \tabularnewline
5% type I error level & 0 & 0 & OK \tabularnewline
10% type I error level & 0 & 0 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267831&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]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267831&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267831&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 level00OK
5% type I error level00OK
10% type I error level00OK


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 = 8 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 4 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
R code (references can be found in the software module):
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')
}