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 computationThu, 11 Dec 2014 20:39:55 +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/11/t1418330443upid4u4vjw64ran.htm/, Retrieved Thu, 16 May 2024 12:32:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=266326, Retrieved Thu, 16 May 2024 12:32:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact78

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [paper17] [2014-12-11 20:39:55] [0015a2406d94cac8c1a56a29b9122359] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
11	8	7	13
15	18	18	7
19	18	20	12
16	12	9	13
24	24	19	7
15	16	12	7
17	19	16	13
19	16	17	15
19	15	9	13
28	28	28	11
26	21	20	8
15	18	16	11
26	22	22	6
16	19	17	11
24	22	12	12
25	25	18	6
22	20	20	11
15	16	12	12
21	19	16	9
22	18	16	10
27	26	21	10
26	24	15	6
26	20	17	14
22	19	17	11
21	19	17	14
22	23	18	12
20	18	15	11
21	16	20	16
20	18	13	13
22	21	21	10
21	20	12	12
8	15	6	8
22	19	13	12
18	27	6	6
20	19	19	9
24	7	12	10
17	20	14	11
20	20	13	10
23	19	12	10
20	19	17	13
22	20	19	9
19	18	10	12
15	14	10	6
20	17	11	11
22	17	11	13
17	8	10	11
14	9	7	12
24	22	22	11
17	20	12	12
23	20	18	8
25	22	20	13
16	22	9	12
18	22	16	12
20	16	14	7
18	14	11	11
23	24	20	12
24	21	17	13
23	20	14	10
13	20	8	6
20	18	16	14
20	14	11	8
19	19	10	13
22	24	15	9
22	19	15	13
15	16	10	8
17	16	10	16
19	16	18	9
20	14	10	9
22	22	22	11
21	21	16	13
21	15	10	15
16	14	7	12
20	15	16	12
21	14	16	11
20	20	16	9
23	21	22	15
15	17	13	7
18	14	5	13
16	16	10	13
17	13	8	13
24	26	16	13
13	13	8	10
19	18	16	8
20	15	14	11
22	18	15	13
19	21	9	11
21	17	21	4
15	18	7	10
21	20	17	12
24	18	18	11
22	25	16	11
20	20	16	9
21	19	14	13
19	18	15	13
14	12	8	6
25	22	22	10
11	16	5	9
17	18	13	8
22	23	22	9
20	20	18	7
22	20	15	11
15	16	11	14
23	22	19	8
20	19	19	11
22	23	21	10
16	6	4	8
25	19	17	10
18	24	10	14
19	19	13	9
25	15	15	14
21	18	11	5
22	18	20	6
21	22	13	10
22	23	18	12
23	18	20	11
20	17	15	4
6	6	4	13
15	22	9	18
18	20	18	18
24	16	12	17
22	16	17	13
21	17	12	17
23	20	16	19
20	23	17	16
20	18	14	13
18	13	13	18
25	22	20	15
16	20	16	11
20	20	15	13
14	13	10	16
22	16	16	14
26	25	21	19
20	16	15	14
17	15	16	15
22	19	19	16
22	19	9	15
20	24	19	15
17	9	7	12
22	22	23	13
17	15	14	17
22	22	10	9
21	22	16	18
25	24	12	16
11	12	10	12
19	21	7	18
24	25	20	15
17	26	9	18
22	19	14	16
22	21	12	16
17	14	10	18
26	28	19	14
19	16	16	12
20	21	11	14
19	16	15	15
21	16	14	18
24	25	11	10
21	21	14	16
19	22	15	18
13	9	7	17
24	20	22	15
28	19	19	14
27	24	22	19
22	22	11	16
23	22	19	15
19	12	9	12
18	17	11	18
23	18	17	16
21	10	12	17
22	22	17	16
17	24	10	20
15	18	17	11
21	18	13	18
20	23	11	15
26	21	19	15
19	21	21	11
28	28	24	16
21	17	13	18
19	21	16	15
22	21	13	15
21	20	15	15
20	18	15	18
19	17	11	13
11	7	7	19
17	17	13	15
19	14	13	8
20	18	12	13
17	14	8	14
21	23	7	19
21	20	17	15
12	14	9	13
23	17	18	16
22	21	17	17
22	23	17	13
21	24	18	12
20	21	12	13
18	14	14	10
21	24	22	15
24	16	19	10
22	21	21	18
20	8	10	14
17	17	16	15
19	18	11	15
16	17	15	14
19	16	12	15
23	22	21	16
8	17	22	19
22	21	20	14
23	20	15	14
15	20	9	16
17	19	15	13
21	8	14	15
25	19	11	10
18	11	9	13
23	15	18	12
20	13	12	19
21	18	11	17
21	19	14	11
24	23	10	15
22	20	18	12
22	22	11	13
23	19	14	16
17	16	16	12
15	11	11	16
24	11	8	14
22	21	16	18
19	14	13	11
18	21	12	16
21	20	17	18
20	21	23	8
19	20	14	12
19	19	10	16
16	19	16	19
18	18	11	15
23	20	16	17
22	21	19	16
23	22	17	18
20	19	12	19
24	23	17	19
25	16	11	19
25	23	19	13
20	18	12	13
23	23	8	10
21	20	17	5
23	20	13	12
23	23	17	14
11	13	7	12
21	21	23	12
27	26	18	13
19	18	13	11
21	19	17	15
16	18	13	20
22	19	13	18
21	18	8	11
22	19	16	15
16	13	14	18
18	10	13	14
23	21	19	16
24	24	15	13
20	21	15	12
20	23	8	12
18	18	14	15
4	11	7	15
14	16	11	13
22	20	17	17
17	20	19	8
23	26	17	8
20	21	12	13
18	12	12	8
19	15	18	11
20	18	16	12
15	14	15	10
24	18	20	15
21	16	16	17
19	19	12	13
19	7	10	14
27	21	28	16
23	24	19	17
23	21	18	11
20	20	19	15
17	22	8	12
21	17	17	15
23	19	16	18
22	20	18	15
16	16	12	15
20	20	17	17
16	16	13	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'Sir Maurice George Kendall' @ kendall.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 8 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266326&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266326&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266326&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'Sir Maurice George Kendall' @ kendall.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Ex[t] = + 12.1085 + 0.0749746I1[t] + 0.00441786I2[t] -0.0504059I3[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Ex[t] =  +  12.1085 +  0.0749746I1[t] +  0.00441786I2[t] -0.0504059I3[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266326&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Ex[t] =  +  12.1085 +  0.0749746I1[t] +  0.00441786I2[t] -0.0504059I3[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266326&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266326&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
Ex[t] = + 12.1085 + 0.0749746I1[t] + 0.00441786I2[t] -0.0504059I3[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)12.10851.1757110.32.53057e-211.26528e-21
I10.07497460.07238331.0360.3011830.150591
I20.004417860.06111150.072290.9424210.47121
I3-0.05040590.058665-0.85920.3909510.195476

\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) & 12.1085 & 1.17571 & 10.3 & 2.53057e-21 & 1.26528e-21 \tabularnewline
I1 & 0.0749746 & 0.0723833 & 1.036 & 0.301183 & 0.150591 \tabularnewline
I2 & 0.00441786 & 0.0611115 & 0.07229 & 0.942421 & 0.47121 \tabularnewline
I3 & -0.0504059 & 0.058665 & -0.8592 & 0.390951 & 0.195476 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266326&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]12.1085[/C][C]1.17571[/C][C]10.3[/C][C]2.53057e-21[/C][C]1.26528e-21[/C][/ROW]
[ROW][C]I1[/C][C]0.0749746[/C][C]0.0723833[/C][C]1.036[/C][C]0.301183[/C][C]0.150591[/C][/ROW]
[ROW][C]I2[/C][C]0.00441786[/C][C]0.0611115[/C][C]0.07229[/C][C]0.942421[/C][C]0.47121[/C][/ROW]
[ROW][C]I3[/C][C]-0.0504059[/C][C]0.058665[/C][C]-0.8592[/C][C]0.390951[/C][C]0.195476[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266326&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266326&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)12.10851.1757110.32.53057e-211.26528e-21
I10.07497460.07238331.0360.3011830.150591
I20.004417860.06111150.072290.9424210.47121
I3-0.05040590.058665-0.85920.3909510.195476






Multiple Linear Regression - Regression Statistics
Multiple R0.0699839
R-squared0.00489775
Adjusted R-squared-0.00568844
F-TEST (value)0.462655
F-TEST (DF numerator)3
F-TEST (DF denominator)282
p-value0.708583
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.42925
Sum Squared Residuals3316.25

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.0699839 \tabularnewline
R-squared & 0.00489775 \tabularnewline
Adjusted R-squared & -0.00568844 \tabularnewline
F-TEST (value) & 0.462655 \tabularnewline
F-TEST (DF numerator) & 3 \tabularnewline
F-TEST (DF denominator) & 282 \tabularnewline
p-value & 0.708583 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 3.42925 \tabularnewline
Sum Squared Residuals & 3316.25 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266326&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.0699839[/C][/ROW]
[ROW][C]R-squared[/C][C]0.00489775[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]-0.00568844[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]0.462655[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]3[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]282[/C][/ROW]
[ROW][C]p-value[/C][C]0.708583[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]3.42925[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]3316.25[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266326&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266326&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 R0.0699839
R-squared0.00489775
Adjusted R-squared-0.00568844
F-TEST (value)0.462655
F-TEST (DF numerator)3
F-TEST (DF denominator)282
p-value0.708583
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.42925
Sum Squared Residuals3316.25






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11312.61570.384262
2712.4054-5.40535
31212.6044-0.604437
41312.90750.0925293
5713.0562-6.05622
6712.6989-5.69895
71312.66050.339471
81512.74682.25318
91313.1456-0.145648
101112.9201-1.92014
11813.1425-5.14251
121112.5062-1.50616
13613.0461-7.04612
141112.5351-1.53515
151213.4002-1.40023
16613.186-7.18602
171112.8382-1.8382
181212.6989-0.69895
19912.9604-3.96043
201013.031-3.03098
211013.1892-3.18917
22613.4078-7.4078
231413.28930.710687
241112.985-1.985
251412.911.08998
261212.9523-0.952262
271112.9314-1.93144
281612.74563.25445
291313.0323-0.0322527
301012.7922-2.79221
311213.1665-1.16647
32812.4721-4.47214
331213.1866-1.18662
34613.2749-7.27491
35912.7342-3.73424
361013.334-3.33396
371112.7658-1.76576
381013.0411-3.04109
391013.312-3.312
401312.8350.164953
41912.8886-3.8886
421213.1085-1.1085
43612.7909-6.79093
441113.1286-2.12865
451313.2786-0.278596
461112.9144-1.91437
471212.8451-0.84508
481112.8962-1.89617
491212.8666-0.86657
50813.014-5.01398
511313.072-0.071956
521212.9516-0.951649
531212.7488-0.748757
54712.973-5.97301
551112.9654-1.96544
561212.9308-0.930843
571313.1438-0.143781
581013.2156-3.21561
59612.7683-6.7683
601412.8811.11896
61813.1154-5.11539
621313.1129-0.112914
63913.1079-4.1079
641313.0858-0.0858081
65812.7998-4.79976
661612.94973.05029
67912.6964-3.69641
68913.1658-4.1658
691112.7462-1.74622
701312.96930.0307367
711513.24521.75481
721213.0171-1.01712
731212.8678-0.867781
741112.9383-1.93834
75912.8899-3.88987
761512.81682.18322
77712.653-5.65296
781313.2679-0.267879
791312.87470.125264
801313.0373-0.0372691
811313.2163-0.216276
821012.7374-2.73737
83812.8061-4.80606
841112.9686-1.96859
851313.0814-0.0813902
861113.1722-2.17216
87412.6996-8.69956
881012.9598-2.95981
891212.9144-0.91444
901113.0801-2.08012
911113.0619-2.06191
92912.8899-3.88987
931313.0612-0.0612393
941312.85650.143534
95612.8079-6.80793
961012.9711-2.97114
97912.7519-3.75189
98812.8073-4.80733
99912.7506-3.75064
100712.7891-5.78906
1011113.0902-2.09023
1021412.74941.25064
103812.9724-4.97241
1041112.7342-1.73424
1051012.801-2.80104
106813.133-5.13299
1071013.2099-3.20992
1081413.060.939972
109912.9617-3.9617
1101413.29310.70694
111513.208-8.20804
112612.8294-6.82936
1131013.1249-3.1249
1141212.9523-0.952262
1151112.9043-1.90434
116412.927-8.92702
1171312.38320.616753
1181812.87675.12333
1191812.63915.36089
1201713.37373.62628
1211312.97170.0282573
1221713.15323.84678
1231913.11485.88521
1241612.85273.14728
1251312.98180.0181531
1261812.86025.13979
1271513.0721.92804
1281112.59-1.58997
1291312.94030.0597233
1301612.71153.28847
1311413.02210.977851
1321913.10985.89022
1331412.92261.07739
1341512.64292.35714
1351612.88423.11582
1361513.38821.61176
1371512.75632.24368
1381213.07-1.07
1391312.69580.304185
1401712.74374.25633
141913.3511-4.35109
1421812.97375.02632
1431613.4842.51596
1441212.4822-0.482192
1451813.2734.72703
1461513.01021.98976
1471813.04434.9557
1481613.13622.86379
1491613.24592.75414
1501812.94095.05912
1511413.22380.776156
1521212.7972-0.797225
1531413.14630.853682
1541512.84762.15237
1551813.0484.95201
1561013.4639-3.46389
1571613.07012.92992
1581812.87415.12586
1591712.77014.22989
1601512.88732.11267
1611413.3340.665968
1621913.12995.87007
1631613.30072.69931
1641512.97242.02759
1651213.1324-1.13239
1661812.97875.0213
1671613.05562.94445
1681713.12233.87771
1691612.99823.00175
1702012.98517.01495
1711112.4558-1.45576
1721813.10724.89277
1731513.15521.84485
1741513.19291.80708
1751112.5673-1.56728
1761613.12182.87824
1771813.10284.89719
1781512.81932.18069
1791513.19551.80454
1801513.01531.98475
1811812.93145.06856
1821313.0537-0.0536721
1831912.61136.38868
1841512.80292.19709
185812.9396-4.93961
1861313.0827-0.0826586
1871413.04170.958313
1881913.43185.56825
1891512.91442.08556
1901312.61640.383592
1911613.00072.99927
1921712.99384.00617
1931313.0027-0.00266772
1941212.8817-0.881705
1951313.0959-0.0959122
1961012.8142-2.81423
1971512.68012.31992
1981013.0209-3.02088
1991812.79225.20779
2001413.13930.860708
2011512.65172.34831
2021513.05811.94191
2031412.62711.37288
2041512.99882.00115
2051612.87163.1284
2061911.67457.32551
2071412.84261.15739
2081413.16520.834799
2091612.86783.13216
2101312.71090.289065
2111513.01261.98736
2121013.5124-3.51236
2131313.053-0.0530021
2141212.9919-0.991894
2151913.06065.93943
2161713.2083.79196
2171113.0612-2.06124
2181513.50551.49454
2191212.939-0.939008
2201313.3007-0.300685
2211613.21122.78881
2221212.6473-0.647275
2231612.72733.27273
2241413.55330.446744
2251813.04424.95576
2261112.9396-1.93961
2271612.9463.05404
2281812.91445.08556
229812.5414-4.54145
2301212.9157-0.915708
2311613.11292.88709
2321912.58566.41445
2331512.98312.01688
2341713.11483.88521
2351612.8933.10698
2361813.07324.92678
2371913.08715.91292
2381913.15265.84738
2391913.49915.5009
2401313.1268-0.12678
2411313.0827-0.0826586
2421013.5313-3.5313
243512.9144-7.91444
2441213.266-1.26601
2451413.07760.922358
2461212.6378-0.637827
2471212.6164-0.616422
2481313.3404-0.340389
2491112.9573-1.95728
2501512.912.08998
2512012.73247.26765
2521813.18664.81338
2531113.3593-2.35926
2541513.03541.9646
2551812.65995.34014
2561412.8471.15304
2571612.9683.03201
2581313.2578-0.257847
2591212.9447-0.944695
2601213.3064-1.30637
2611512.83192.1681
2621512.10422.89583
2631312.67440.325619
2641712.98944.01059
265812.5137-4.51373
266813.0909-5.0909
2671313.0959-0.0959122
268812.9062-4.9062
2691112.692-1.692
2701212.881-0.881035
2711012.5389-2.5389
2721512.97932.02069
2731712.94724.05283
2741313.0121-0.0121019
2751413.05990.940101
2761612.81423.18576
2771712.98124.01875
2781113.0184-2.0184
2791512.73872.26135
2801213.077-1.07703
2811512.90122.09881
2821813.11044.88962
2831512.9392.06099
2841512.77392.22608
2851712.83954.16054
286812.7235-4.72352

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 13 & 12.6157 & 0.384262 \tabularnewline
2 & 7 & 12.4054 & -5.40535 \tabularnewline
3 & 12 & 12.6044 & -0.604437 \tabularnewline
4 & 13 & 12.9075 & 0.0925293 \tabularnewline
5 & 7 & 13.0562 & -6.05622 \tabularnewline
6 & 7 & 12.6989 & -5.69895 \tabularnewline
7 & 13 & 12.6605 & 0.339471 \tabularnewline
8 & 15 & 12.7468 & 2.25318 \tabularnewline
9 & 13 & 13.1456 & -0.145648 \tabularnewline
10 & 11 & 12.9201 & -1.92014 \tabularnewline
11 & 8 & 13.1425 & -5.14251 \tabularnewline
12 & 11 & 12.5062 & -1.50616 \tabularnewline
13 & 6 & 13.0461 & -7.04612 \tabularnewline
14 & 11 & 12.5351 & -1.53515 \tabularnewline
15 & 12 & 13.4002 & -1.40023 \tabularnewline
16 & 6 & 13.186 & -7.18602 \tabularnewline
17 & 11 & 12.8382 & -1.8382 \tabularnewline
18 & 12 & 12.6989 & -0.69895 \tabularnewline
19 & 9 & 12.9604 & -3.96043 \tabularnewline
20 & 10 & 13.031 & -3.03098 \tabularnewline
21 & 10 & 13.1892 & -3.18917 \tabularnewline
22 & 6 & 13.4078 & -7.4078 \tabularnewline
23 & 14 & 13.2893 & 0.710687 \tabularnewline
24 & 11 & 12.985 & -1.985 \tabularnewline
25 & 14 & 12.91 & 1.08998 \tabularnewline
26 & 12 & 12.9523 & -0.952262 \tabularnewline
27 & 11 & 12.9314 & -1.93144 \tabularnewline
28 & 16 & 12.7456 & 3.25445 \tabularnewline
29 & 13 & 13.0323 & -0.0322527 \tabularnewline
30 & 10 & 12.7922 & -2.79221 \tabularnewline
31 & 12 & 13.1665 & -1.16647 \tabularnewline
32 & 8 & 12.4721 & -4.47214 \tabularnewline
33 & 12 & 13.1866 & -1.18662 \tabularnewline
34 & 6 & 13.2749 & -7.27491 \tabularnewline
35 & 9 & 12.7342 & -3.73424 \tabularnewline
36 & 10 & 13.334 & -3.33396 \tabularnewline
37 & 11 & 12.7658 & -1.76576 \tabularnewline
38 & 10 & 13.0411 & -3.04109 \tabularnewline
39 & 10 & 13.312 & -3.312 \tabularnewline
40 & 13 & 12.835 & 0.164953 \tabularnewline
41 & 9 & 12.8886 & -3.8886 \tabularnewline
42 & 12 & 13.1085 & -1.1085 \tabularnewline
43 & 6 & 12.7909 & -6.79093 \tabularnewline
44 & 11 & 13.1286 & -2.12865 \tabularnewline
45 & 13 & 13.2786 & -0.278596 \tabularnewline
46 & 11 & 12.9144 & -1.91437 \tabularnewline
47 & 12 & 12.8451 & -0.84508 \tabularnewline
48 & 11 & 12.8962 & -1.89617 \tabularnewline
49 & 12 & 12.8666 & -0.86657 \tabularnewline
50 & 8 & 13.014 & -5.01398 \tabularnewline
51 & 13 & 13.072 & -0.071956 \tabularnewline
52 & 12 & 12.9516 & -0.951649 \tabularnewline
53 & 12 & 12.7488 & -0.748757 \tabularnewline
54 & 7 & 12.973 & -5.97301 \tabularnewline
55 & 11 & 12.9654 & -1.96544 \tabularnewline
56 & 12 & 12.9308 & -0.930843 \tabularnewline
57 & 13 & 13.1438 & -0.143781 \tabularnewline
58 & 10 & 13.2156 & -3.21561 \tabularnewline
59 & 6 & 12.7683 & -6.7683 \tabularnewline
60 & 14 & 12.881 & 1.11896 \tabularnewline
61 & 8 & 13.1154 & -5.11539 \tabularnewline
62 & 13 & 13.1129 & -0.112914 \tabularnewline
63 & 9 & 13.1079 & -4.1079 \tabularnewline
64 & 13 & 13.0858 & -0.0858081 \tabularnewline
65 & 8 & 12.7998 & -4.79976 \tabularnewline
66 & 16 & 12.9497 & 3.05029 \tabularnewline
67 & 9 & 12.6964 & -3.69641 \tabularnewline
68 & 9 & 13.1658 & -4.1658 \tabularnewline
69 & 11 & 12.7462 & -1.74622 \tabularnewline
70 & 13 & 12.9693 & 0.0307367 \tabularnewline
71 & 15 & 13.2452 & 1.75481 \tabularnewline
72 & 12 & 13.0171 & -1.01712 \tabularnewline
73 & 12 & 12.8678 & -0.867781 \tabularnewline
74 & 11 & 12.9383 & -1.93834 \tabularnewline
75 & 9 & 12.8899 & -3.88987 \tabularnewline
76 & 15 & 12.8168 & 2.18322 \tabularnewline
77 & 7 & 12.653 & -5.65296 \tabularnewline
78 & 13 & 13.2679 & -0.267879 \tabularnewline
79 & 13 & 12.8747 & 0.125264 \tabularnewline
80 & 13 & 13.0373 & -0.0372691 \tabularnewline
81 & 13 & 13.2163 & -0.216276 \tabularnewline
82 & 10 & 12.7374 & -2.73737 \tabularnewline
83 & 8 & 12.8061 & -4.80606 \tabularnewline
84 & 11 & 12.9686 & -1.96859 \tabularnewline
85 & 13 & 13.0814 & -0.0813902 \tabularnewline
86 & 11 & 13.1722 & -2.17216 \tabularnewline
87 & 4 & 12.6996 & -8.69956 \tabularnewline
88 & 10 & 12.9598 & -2.95981 \tabularnewline
89 & 12 & 12.9144 & -0.91444 \tabularnewline
90 & 11 & 13.0801 & -2.08012 \tabularnewline
91 & 11 & 13.0619 & -2.06191 \tabularnewline
92 & 9 & 12.8899 & -3.88987 \tabularnewline
93 & 13 & 13.0612 & -0.0612393 \tabularnewline
94 & 13 & 12.8565 & 0.143534 \tabularnewline
95 & 6 & 12.8079 & -6.80793 \tabularnewline
96 & 10 & 12.9711 & -2.97114 \tabularnewline
97 & 9 & 12.7519 & -3.75189 \tabularnewline
98 & 8 & 12.8073 & -4.80733 \tabularnewline
99 & 9 & 12.7506 & -3.75064 \tabularnewline
100 & 7 & 12.7891 & -5.78906 \tabularnewline
101 & 11 & 13.0902 & -2.09023 \tabularnewline
102 & 14 & 12.7494 & 1.25064 \tabularnewline
103 & 8 & 12.9724 & -4.97241 \tabularnewline
104 & 11 & 12.7342 & -1.73424 \tabularnewline
105 & 10 & 12.801 & -2.80104 \tabularnewline
106 & 8 & 13.133 & -5.13299 \tabularnewline
107 & 10 & 13.2099 & -3.20992 \tabularnewline
108 & 14 & 13.06 & 0.939972 \tabularnewline
109 & 9 & 12.9617 & -3.9617 \tabularnewline
110 & 14 & 13.2931 & 0.70694 \tabularnewline
111 & 5 & 13.208 & -8.20804 \tabularnewline
112 & 6 & 12.8294 & -6.82936 \tabularnewline
113 & 10 & 13.1249 & -3.1249 \tabularnewline
114 & 12 & 12.9523 & -0.952262 \tabularnewline
115 & 11 & 12.9043 & -1.90434 \tabularnewline
116 & 4 & 12.927 & -8.92702 \tabularnewline
117 & 13 & 12.3832 & 0.616753 \tabularnewline
118 & 18 & 12.8767 & 5.12333 \tabularnewline
119 & 18 & 12.6391 & 5.36089 \tabularnewline
120 & 17 & 13.3737 & 3.62628 \tabularnewline
121 & 13 & 12.9717 & 0.0282573 \tabularnewline
122 & 17 & 13.1532 & 3.84678 \tabularnewline
123 & 19 & 13.1148 & 5.88521 \tabularnewline
124 & 16 & 12.8527 & 3.14728 \tabularnewline
125 & 13 & 12.9818 & 0.0181531 \tabularnewline
126 & 18 & 12.8602 & 5.13979 \tabularnewline
127 & 15 & 13.072 & 1.92804 \tabularnewline
128 & 11 & 12.59 & -1.58997 \tabularnewline
129 & 13 & 12.9403 & 0.0597233 \tabularnewline
130 & 16 & 12.7115 & 3.28847 \tabularnewline
131 & 14 & 13.0221 & 0.977851 \tabularnewline
132 & 19 & 13.1098 & 5.89022 \tabularnewline
133 & 14 & 12.9226 & 1.07739 \tabularnewline
134 & 15 & 12.6429 & 2.35714 \tabularnewline
135 & 16 & 12.8842 & 3.11582 \tabularnewline
136 & 15 & 13.3882 & 1.61176 \tabularnewline
137 & 15 & 12.7563 & 2.24368 \tabularnewline
138 & 12 & 13.07 & -1.07 \tabularnewline
139 & 13 & 12.6958 & 0.304185 \tabularnewline
140 & 17 & 12.7437 & 4.25633 \tabularnewline
141 & 9 & 13.3511 & -4.35109 \tabularnewline
142 & 18 & 12.9737 & 5.02632 \tabularnewline
143 & 16 & 13.484 & 2.51596 \tabularnewline
144 & 12 & 12.4822 & -0.482192 \tabularnewline
145 & 18 & 13.273 & 4.72703 \tabularnewline
146 & 15 & 13.0102 & 1.98976 \tabularnewline
147 & 18 & 13.0443 & 4.9557 \tabularnewline
148 & 16 & 13.1362 & 2.86379 \tabularnewline
149 & 16 & 13.2459 & 2.75414 \tabularnewline
150 & 18 & 12.9409 & 5.05912 \tabularnewline
151 & 14 & 13.2238 & 0.776156 \tabularnewline
152 & 12 & 12.7972 & -0.797225 \tabularnewline
153 & 14 & 13.1463 & 0.853682 \tabularnewline
154 & 15 & 12.8476 & 2.15237 \tabularnewline
155 & 18 & 13.048 & 4.95201 \tabularnewline
156 & 10 & 13.4639 & -3.46389 \tabularnewline
157 & 16 & 13.0701 & 2.92992 \tabularnewline
158 & 18 & 12.8741 & 5.12586 \tabularnewline
159 & 17 & 12.7701 & 4.22989 \tabularnewline
160 & 15 & 12.8873 & 2.11267 \tabularnewline
161 & 14 & 13.334 & 0.665968 \tabularnewline
162 & 19 & 13.1299 & 5.87007 \tabularnewline
163 & 16 & 13.3007 & 2.69931 \tabularnewline
164 & 15 & 12.9724 & 2.02759 \tabularnewline
165 & 12 & 13.1324 & -1.13239 \tabularnewline
166 & 18 & 12.9787 & 5.0213 \tabularnewline
167 & 16 & 13.0556 & 2.94445 \tabularnewline
168 & 17 & 13.1223 & 3.87771 \tabularnewline
169 & 16 & 12.9982 & 3.00175 \tabularnewline
170 & 20 & 12.9851 & 7.01495 \tabularnewline
171 & 11 & 12.4558 & -1.45576 \tabularnewline
172 & 18 & 13.1072 & 4.89277 \tabularnewline
173 & 15 & 13.1552 & 1.84485 \tabularnewline
174 & 15 & 13.1929 & 1.80708 \tabularnewline
175 & 11 & 12.5673 & -1.56728 \tabularnewline
176 & 16 & 13.1218 & 2.87824 \tabularnewline
177 & 18 & 13.1028 & 4.89719 \tabularnewline
178 & 15 & 12.8193 & 2.18069 \tabularnewline
179 & 15 & 13.1955 & 1.80454 \tabularnewline
180 & 15 & 13.0153 & 1.98475 \tabularnewline
181 & 18 & 12.9314 & 5.06856 \tabularnewline
182 & 13 & 13.0537 & -0.0536721 \tabularnewline
183 & 19 & 12.6113 & 6.38868 \tabularnewline
184 & 15 & 12.8029 & 2.19709 \tabularnewline
185 & 8 & 12.9396 & -4.93961 \tabularnewline
186 & 13 & 13.0827 & -0.0826586 \tabularnewline
187 & 14 & 13.0417 & 0.958313 \tabularnewline
188 & 19 & 13.4318 & 5.56825 \tabularnewline
189 & 15 & 12.9144 & 2.08556 \tabularnewline
190 & 13 & 12.6164 & 0.383592 \tabularnewline
191 & 16 & 13.0007 & 2.99927 \tabularnewline
192 & 17 & 12.9938 & 4.00617 \tabularnewline
193 & 13 & 13.0027 & -0.00266772 \tabularnewline
194 & 12 & 12.8817 & -0.881705 \tabularnewline
195 & 13 & 13.0959 & -0.0959122 \tabularnewline
196 & 10 & 12.8142 & -2.81423 \tabularnewline
197 & 15 & 12.6801 & 2.31992 \tabularnewline
198 & 10 & 13.0209 & -3.02088 \tabularnewline
199 & 18 & 12.7922 & 5.20779 \tabularnewline
200 & 14 & 13.1393 & 0.860708 \tabularnewline
201 & 15 & 12.6517 & 2.34831 \tabularnewline
202 & 15 & 13.0581 & 1.94191 \tabularnewline
203 & 14 & 12.6271 & 1.37288 \tabularnewline
204 & 15 & 12.9988 & 2.00115 \tabularnewline
205 & 16 & 12.8716 & 3.1284 \tabularnewline
206 & 19 & 11.6745 & 7.32551 \tabularnewline
207 & 14 & 12.8426 & 1.15739 \tabularnewline
208 & 14 & 13.1652 & 0.834799 \tabularnewline
209 & 16 & 12.8678 & 3.13216 \tabularnewline
210 & 13 & 12.7109 & 0.289065 \tabularnewline
211 & 15 & 13.0126 & 1.98736 \tabularnewline
212 & 10 & 13.5124 & -3.51236 \tabularnewline
213 & 13 & 13.053 & -0.0530021 \tabularnewline
214 & 12 & 12.9919 & -0.991894 \tabularnewline
215 & 19 & 13.0606 & 5.93943 \tabularnewline
216 & 17 & 13.208 & 3.79196 \tabularnewline
217 & 11 & 13.0612 & -2.06124 \tabularnewline
218 & 15 & 13.5055 & 1.49454 \tabularnewline
219 & 12 & 12.939 & -0.939008 \tabularnewline
220 & 13 & 13.3007 & -0.300685 \tabularnewline
221 & 16 & 13.2112 & 2.78881 \tabularnewline
222 & 12 & 12.6473 & -0.647275 \tabularnewline
223 & 16 & 12.7273 & 3.27273 \tabularnewline
224 & 14 & 13.5533 & 0.446744 \tabularnewline
225 & 18 & 13.0442 & 4.95576 \tabularnewline
226 & 11 & 12.9396 & -1.93961 \tabularnewline
227 & 16 & 12.946 & 3.05404 \tabularnewline
228 & 18 & 12.9144 & 5.08556 \tabularnewline
229 & 8 & 12.5414 & -4.54145 \tabularnewline
230 & 12 & 12.9157 & -0.915708 \tabularnewline
231 & 16 & 13.1129 & 2.88709 \tabularnewline
232 & 19 & 12.5856 & 6.41445 \tabularnewline
233 & 15 & 12.9831 & 2.01688 \tabularnewline
234 & 17 & 13.1148 & 3.88521 \tabularnewline
235 & 16 & 12.893 & 3.10698 \tabularnewline
236 & 18 & 13.0732 & 4.92678 \tabularnewline
237 & 19 & 13.0871 & 5.91292 \tabularnewline
238 & 19 & 13.1526 & 5.84738 \tabularnewline
239 & 19 & 13.4991 & 5.5009 \tabularnewline
240 & 13 & 13.1268 & -0.12678 \tabularnewline
241 & 13 & 13.0827 & -0.0826586 \tabularnewline
242 & 10 & 13.5313 & -3.5313 \tabularnewline
243 & 5 & 12.9144 & -7.91444 \tabularnewline
244 & 12 & 13.266 & -1.26601 \tabularnewline
245 & 14 & 13.0776 & 0.922358 \tabularnewline
246 & 12 & 12.6378 & -0.637827 \tabularnewline
247 & 12 & 12.6164 & -0.616422 \tabularnewline
248 & 13 & 13.3404 & -0.340389 \tabularnewline
249 & 11 & 12.9573 & -1.95728 \tabularnewline
250 & 15 & 12.91 & 2.08998 \tabularnewline
251 & 20 & 12.7324 & 7.26765 \tabularnewline
252 & 18 & 13.1866 & 4.81338 \tabularnewline
253 & 11 & 13.3593 & -2.35926 \tabularnewline
254 & 15 & 13.0354 & 1.9646 \tabularnewline
255 & 18 & 12.6599 & 5.34014 \tabularnewline
256 & 14 & 12.847 & 1.15304 \tabularnewline
257 & 16 & 12.968 & 3.03201 \tabularnewline
258 & 13 & 13.2578 & -0.257847 \tabularnewline
259 & 12 & 12.9447 & -0.944695 \tabularnewline
260 & 12 & 13.3064 & -1.30637 \tabularnewline
261 & 15 & 12.8319 & 2.1681 \tabularnewline
262 & 15 & 12.1042 & 2.89583 \tabularnewline
263 & 13 & 12.6744 & 0.325619 \tabularnewline
264 & 17 & 12.9894 & 4.01059 \tabularnewline
265 & 8 & 12.5137 & -4.51373 \tabularnewline
266 & 8 & 13.0909 & -5.0909 \tabularnewline
267 & 13 & 13.0959 & -0.0959122 \tabularnewline
268 & 8 & 12.9062 & -4.9062 \tabularnewline
269 & 11 & 12.692 & -1.692 \tabularnewline
270 & 12 & 12.881 & -0.881035 \tabularnewline
271 & 10 & 12.5389 & -2.5389 \tabularnewline
272 & 15 & 12.9793 & 2.02069 \tabularnewline
273 & 17 & 12.9472 & 4.05283 \tabularnewline
274 & 13 & 13.0121 & -0.0121019 \tabularnewline
275 & 14 & 13.0599 & 0.940101 \tabularnewline
276 & 16 & 12.8142 & 3.18576 \tabularnewline
277 & 17 & 12.9812 & 4.01875 \tabularnewline
278 & 11 & 13.0184 & -2.0184 \tabularnewline
279 & 15 & 12.7387 & 2.26135 \tabularnewline
280 & 12 & 13.077 & -1.07703 \tabularnewline
281 & 15 & 12.9012 & 2.09881 \tabularnewline
282 & 18 & 13.1104 & 4.88962 \tabularnewline
283 & 15 & 12.939 & 2.06099 \tabularnewline
284 & 15 & 12.7739 & 2.22608 \tabularnewline
285 & 17 & 12.8395 & 4.16054 \tabularnewline
286 & 8 & 12.7235 & -4.72352 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266326&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]12.6157[/C][C]0.384262[/C][/ROW]
[ROW][C]2[/C][C]7[/C][C]12.4054[/C][C]-5.40535[/C][/ROW]
[ROW][C]3[/C][C]12[/C][C]12.6044[/C][C]-0.604437[/C][/ROW]
[ROW][C]4[/C][C]13[/C][C]12.9075[/C][C]0.0925293[/C][/ROW]
[ROW][C]5[/C][C]7[/C][C]13.0562[/C][C]-6.05622[/C][/ROW]
[ROW][C]6[/C][C]7[/C][C]12.6989[/C][C]-5.69895[/C][/ROW]
[ROW][C]7[/C][C]13[/C][C]12.6605[/C][C]0.339471[/C][/ROW]
[ROW][C]8[/C][C]15[/C][C]12.7468[/C][C]2.25318[/C][/ROW]
[ROW][C]9[/C][C]13[/C][C]13.1456[/C][C]-0.145648[/C][/ROW]
[ROW][C]10[/C][C]11[/C][C]12.9201[/C][C]-1.92014[/C][/ROW]
[ROW][C]11[/C][C]8[/C][C]13.1425[/C][C]-5.14251[/C][/ROW]
[ROW][C]12[/C][C]11[/C][C]12.5062[/C][C]-1.50616[/C][/ROW]
[ROW][C]13[/C][C]6[/C][C]13.0461[/C][C]-7.04612[/C][/ROW]
[ROW][C]14[/C][C]11[/C][C]12.5351[/C][C]-1.53515[/C][/ROW]
[ROW][C]15[/C][C]12[/C][C]13.4002[/C][C]-1.40023[/C][/ROW]
[ROW][C]16[/C][C]6[/C][C]13.186[/C][C]-7.18602[/C][/ROW]
[ROW][C]17[/C][C]11[/C][C]12.8382[/C][C]-1.8382[/C][/ROW]
[ROW][C]18[/C][C]12[/C][C]12.6989[/C][C]-0.69895[/C][/ROW]
[ROW][C]19[/C][C]9[/C][C]12.9604[/C][C]-3.96043[/C][/ROW]
[ROW][C]20[/C][C]10[/C][C]13.031[/C][C]-3.03098[/C][/ROW]
[ROW][C]21[/C][C]10[/C][C]13.1892[/C][C]-3.18917[/C][/ROW]
[ROW][C]22[/C][C]6[/C][C]13.4078[/C][C]-7.4078[/C][/ROW]
[ROW][C]23[/C][C]14[/C][C]13.2893[/C][C]0.710687[/C][/ROW]
[ROW][C]24[/C][C]11[/C][C]12.985[/C][C]-1.985[/C][/ROW]
[ROW][C]25[/C][C]14[/C][C]12.91[/C][C]1.08998[/C][/ROW]
[ROW][C]26[/C][C]12[/C][C]12.9523[/C][C]-0.952262[/C][/ROW]
[ROW][C]27[/C][C]11[/C][C]12.9314[/C][C]-1.93144[/C][/ROW]
[ROW][C]28[/C][C]16[/C][C]12.7456[/C][C]3.25445[/C][/ROW]
[ROW][C]29[/C][C]13[/C][C]13.0323[/C][C]-0.0322527[/C][/ROW]
[ROW][C]30[/C][C]10[/C][C]12.7922[/C][C]-2.79221[/C][/ROW]
[ROW][C]31[/C][C]12[/C][C]13.1665[/C][C]-1.16647[/C][/ROW]
[ROW][C]32[/C][C]8[/C][C]12.4721[/C][C]-4.47214[/C][/ROW]
[ROW][C]33[/C][C]12[/C][C]13.1866[/C][C]-1.18662[/C][/ROW]
[ROW][C]34[/C][C]6[/C][C]13.2749[/C][C]-7.27491[/C][/ROW]
[ROW][C]35[/C][C]9[/C][C]12.7342[/C][C]-3.73424[/C][/ROW]
[ROW][C]36[/C][C]10[/C][C]13.334[/C][C]-3.33396[/C][/ROW]
[ROW][C]37[/C][C]11[/C][C]12.7658[/C][C]-1.76576[/C][/ROW]
[ROW][C]38[/C][C]10[/C][C]13.0411[/C][C]-3.04109[/C][/ROW]
[ROW][C]39[/C][C]10[/C][C]13.312[/C][C]-3.312[/C][/ROW]
[ROW][C]40[/C][C]13[/C][C]12.835[/C][C]0.164953[/C][/ROW]
[ROW][C]41[/C][C]9[/C][C]12.8886[/C][C]-3.8886[/C][/ROW]
[ROW][C]42[/C][C]12[/C][C]13.1085[/C][C]-1.1085[/C][/ROW]
[ROW][C]43[/C][C]6[/C][C]12.7909[/C][C]-6.79093[/C][/ROW]
[ROW][C]44[/C][C]11[/C][C]13.1286[/C][C]-2.12865[/C][/ROW]
[ROW][C]45[/C][C]13[/C][C]13.2786[/C][C]-0.278596[/C][/ROW]
[ROW][C]46[/C][C]11[/C][C]12.9144[/C][C]-1.91437[/C][/ROW]
[ROW][C]47[/C][C]12[/C][C]12.8451[/C][C]-0.84508[/C][/ROW]
[ROW][C]48[/C][C]11[/C][C]12.8962[/C][C]-1.89617[/C][/ROW]
[ROW][C]49[/C][C]12[/C][C]12.8666[/C][C]-0.86657[/C][/ROW]
[ROW][C]50[/C][C]8[/C][C]13.014[/C][C]-5.01398[/C][/ROW]
[ROW][C]51[/C][C]13[/C][C]13.072[/C][C]-0.071956[/C][/ROW]
[ROW][C]52[/C][C]12[/C][C]12.9516[/C][C]-0.951649[/C][/ROW]
[ROW][C]53[/C][C]12[/C][C]12.7488[/C][C]-0.748757[/C][/ROW]
[ROW][C]54[/C][C]7[/C][C]12.973[/C][C]-5.97301[/C][/ROW]
[ROW][C]55[/C][C]11[/C][C]12.9654[/C][C]-1.96544[/C][/ROW]
[ROW][C]56[/C][C]12[/C][C]12.9308[/C][C]-0.930843[/C][/ROW]
[ROW][C]57[/C][C]13[/C][C]13.1438[/C][C]-0.143781[/C][/ROW]
[ROW][C]58[/C][C]10[/C][C]13.2156[/C][C]-3.21561[/C][/ROW]
[ROW][C]59[/C][C]6[/C][C]12.7683[/C][C]-6.7683[/C][/ROW]
[ROW][C]60[/C][C]14[/C][C]12.881[/C][C]1.11896[/C][/ROW]
[ROW][C]61[/C][C]8[/C][C]13.1154[/C][C]-5.11539[/C][/ROW]
[ROW][C]62[/C][C]13[/C][C]13.1129[/C][C]-0.112914[/C][/ROW]
[ROW][C]63[/C][C]9[/C][C]13.1079[/C][C]-4.1079[/C][/ROW]
[ROW][C]64[/C][C]13[/C][C]13.0858[/C][C]-0.0858081[/C][/ROW]
[ROW][C]65[/C][C]8[/C][C]12.7998[/C][C]-4.79976[/C][/ROW]
[ROW][C]66[/C][C]16[/C][C]12.9497[/C][C]3.05029[/C][/ROW]
[ROW][C]67[/C][C]9[/C][C]12.6964[/C][C]-3.69641[/C][/ROW]
[ROW][C]68[/C][C]9[/C][C]13.1658[/C][C]-4.1658[/C][/ROW]
[ROW][C]69[/C][C]11[/C][C]12.7462[/C][C]-1.74622[/C][/ROW]
[ROW][C]70[/C][C]13[/C][C]12.9693[/C][C]0.0307367[/C][/ROW]
[ROW][C]71[/C][C]15[/C][C]13.2452[/C][C]1.75481[/C][/ROW]
[ROW][C]72[/C][C]12[/C][C]13.0171[/C][C]-1.01712[/C][/ROW]
[ROW][C]73[/C][C]12[/C][C]12.8678[/C][C]-0.867781[/C][/ROW]
[ROW][C]74[/C][C]11[/C][C]12.9383[/C][C]-1.93834[/C][/ROW]
[ROW][C]75[/C][C]9[/C][C]12.8899[/C][C]-3.88987[/C][/ROW]
[ROW][C]76[/C][C]15[/C][C]12.8168[/C][C]2.18322[/C][/ROW]
[ROW][C]77[/C][C]7[/C][C]12.653[/C][C]-5.65296[/C][/ROW]
[ROW][C]78[/C][C]13[/C][C]13.2679[/C][C]-0.267879[/C][/ROW]
[ROW][C]79[/C][C]13[/C][C]12.8747[/C][C]0.125264[/C][/ROW]
[ROW][C]80[/C][C]13[/C][C]13.0373[/C][C]-0.0372691[/C][/ROW]
[ROW][C]81[/C][C]13[/C][C]13.2163[/C][C]-0.216276[/C][/ROW]
[ROW][C]82[/C][C]10[/C][C]12.7374[/C][C]-2.73737[/C][/ROW]
[ROW][C]83[/C][C]8[/C][C]12.8061[/C][C]-4.80606[/C][/ROW]
[ROW][C]84[/C][C]11[/C][C]12.9686[/C][C]-1.96859[/C][/ROW]
[ROW][C]85[/C][C]13[/C][C]13.0814[/C][C]-0.0813902[/C][/ROW]
[ROW][C]86[/C][C]11[/C][C]13.1722[/C][C]-2.17216[/C][/ROW]
[ROW][C]87[/C][C]4[/C][C]12.6996[/C][C]-8.69956[/C][/ROW]
[ROW][C]88[/C][C]10[/C][C]12.9598[/C][C]-2.95981[/C][/ROW]
[ROW][C]89[/C][C]12[/C][C]12.9144[/C][C]-0.91444[/C][/ROW]
[ROW][C]90[/C][C]11[/C][C]13.0801[/C][C]-2.08012[/C][/ROW]
[ROW][C]91[/C][C]11[/C][C]13.0619[/C][C]-2.06191[/C][/ROW]
[ROW][C]92[/C][C]9[/C][C]12.8899[/C][C]-3.88987[/C][/ROW]
[ROW][C]93[/C][C]13[/C][C]13.0612[/C][C]-0.0612393[/C][/ROW]
[ROW][C]94[/C][C]13[/C][C]12.8565[/C][C]0.143534[/C][/ROW]
[ROW][C]95[/C][C]6[/C][C]12.8079[/C][C]-6.80793[/C][/ROW]
[ROW][C]96[/C][C]10[/C][C]12.9711[/C][C]-2.97114[/C][/ROW]
[ROW][C]97[/C][C]9[/C][C]12.7519[/C][C]-3.75189[/C][/ROW]
[ROW][C]98[/C][C]8[/C][C]12.8073[/C][C]-4.80733[/C][/ROW]
[ROW][C]99[/C][C]9[/C][C]12.7506[/C][C]-3.75064[/C][/ROW]
[ROW][C]100[/C][C]7[/C][C]12.7891[/C][C]-5.78906[/C][/ROW]
[ROW][C]101[/C][C]11[/C][C]13.0902[/C][C]-2.09023[/C][/ROW]
[ROW][C]102[/C][C]14[/C][C]12.7494[/C][C]1.25064[/C][/ROW]
[ROW][C]103[/C][C]8[/C][C]12.9724[/C][C]-4.97241[/C][/ROW]
[ROW][C]104[/C][C]11[/C][C]12.7342[/C][C]-1.73424[/C][/ROW]
[ROW][C]105[/C][C]10[/C][C]12.801[/C][C]-2.80104[/C][/ROW]
[ROW][C]106[/C][C]8[/C][C]13.133[/C][C]-5.13299[/C][/ROW]
[ROW][C]107[/C][C]10[/C][C]13.2099[/C][C]-3.20992[/C][/ROW]
[ROW][C]108[/C][C]14[/C][C]13.06[/C][C]0.939972[/C][/ROW]
[ROW][C]109[/C][C]9[/C][C]12.9617[/C][C]-3.9617[/C][/ROW]
[ROW][C]110[/C][C]14[/C][C]13.2931[/C][C]0.70694[/C][/ROW]
[ROW][C]111[/C][C]5[/C][C]13.208[/C][C]-8.20804[/C][/ROW]
[ROW][C]112[/C][C]6[/C][C]12.8294[/C][C]-6.82936[/C][/ROW]
[ROW][C]113[/C][C]10[/C][C]13.1249[/C][C]-3.1249[/C][/ROW]
[ROW][C]114[/C][C]12[/C][C]12.9523[/C][C]-0.952262[/C][/ROW]
[ROW][C]115[/C][C]11[/C][C]12.9043[/C][C]-1.90434[/C][/ROW]
[ROW][C]116[/C][C]4[/C][C]12.927[/C][C]-8.92702[/C][/ROW]
[ROW][C]117[/C][C]13[/C][C]12.3832[/C][C]0.616753[/C][/ROW]
[ROW][C]118[/C][C]18[/C][C]12.8767[/C][C]5.12333[/C][/ROW]
[ROW][C]119[/C][C]18[/C][C]12.6391[/C][C]5.36089[/C][/ROW]
[ROW][C]120[/C][C]17[/C][C]13.3737[/C][C]3.62628[/C][/ROW]
[ROW][C]121[/C][C]13[/C][C]12.9717[/C][C]0.0282573[/C][/ROW]
[ROW][C]122[/C][C]17[/C][C]13.1532[/C][C]3.84678[/C][/ROW]
[ROW][C]123[/C][C]19[/C][C]13.1148[/C][C]5.88521[/C][/ROW]
[ROW][C]124[/C][C]16[/C][C]12.8527[/C][C]3.14728[/C][/ROW]
[ROW][C]125[/C][C]13[/C][C]12.9818[/C][C]0.0181531[/C][/ROW]
[ROW][C]126[/C][C]18[/C][C]12.8602[/C][C]5.13979[/C][/ROW]
[ROW][C]127[/C][C]15[/C][C]13.072[/C][C]1.92804[/C][/ROW]
[ROW][C]128[/C][C]11[/C][C]12.59[/C][C]-1.58997[/C][/ROW]
[ROW][C]129[/C][C]13[/C][C]12.9403[/C][C]0.0597233[/C][/ROW]
[ROW][C]130[/C][C]16[/C][C]12.7115[/C][C]3.28847[/C][/ROW]
[ROW][C]131[/C][C]14[/C][C]13.0221[/C][C]0.977851[/C][/ROW]
[ROW][C]132[/C][C]19[/C][C]13.1098[/C][C]5.89022[/C][/ROW]
[ROW][C]133[/C][C]14[/C][C]12.9226[/C][C]1.07739[/C][/ROW]
[ROW][C]134[/C][C]15[/C][C]12.6429[/C][C]2.35714[/C][/ROW]
[ROW][C]135[/C][C]16[/C][C]12.8842[/C][C]3.11582[/C][/ROW]
[ROW][C]136[/C][C]15[/C][C]13.3882[/C][C]1.61176[/C][/ROW]
[ROW][C]137[/C][C]15[/C][C]12.7563[/C][C]2.24368[/C][/ROW]
[ROW][C]138[/C][C]12[/C][C]13.07[/C][C]-1.07[/C][/ROW]
[ROW][C]139[/C][C]13[/C][C]12.6958[/C][C]0.304185[/C][/ROW]
[ROW][C]140[/C][C]17[/C][C]12.7437[/C][C]4.25633[/C][/ROW]
[ROW][C]141[/C][C]9[/C][C]13.3511[/C][C]-4.35109[/C][/ROW]
[ROW][C]142[/C][C]18[/C][C]12.9737[/C][C]5.02632[/C][/ROW]
[ROW][C]143[/C][C]16[/C][C]13.484[/C][C]2.51596[/C][/ROW]
[ROW][C]144[/C][C]12[/C][C]12.4822[/C][C]-0.482192[/C][/ROW]
[ROW][C]145[/C][C]18[/C][C]13.273[/C][C]4.72703[/C][/ROW]
[ROW][C]146[/C][C]15[/C][C]13.0102[/C][C]1.98976[/C][/ROW]
[ROW][C]147[/C][C]18[/C][C]13.0443[/C][C]4.9557[/C][/ROW]
[ROW][C]148[/C][C]16[/C][C]13.1362[/C][C]2.86379[/C][/ROW]
[ROW][C]149[/C][C]16[/C][C]13.2459[/C][C]2.75414[/C][/ROW]
[ROW][C]150[/C][C]18[/C][C]12.9409[/C][C]5.05912[/C][/ROW]
[ROW][C]151[/C][C]14[/C][C]13.2238[/C][C]0.776156[/C][/ROW]
[ROW][C]152[/C][C]12[/C][C]12.7972[/C][C]-0.797225[/C][/ROW]
[ROW][C]153[/C][C]14[/C][C]13.1463[/C][C]0.853682[/C][/ROW]
[ROW][C]154[/C][C]15[/C][C]12.8476[/C][C]2.15237[/C][/ROW]
[ROW][C]155[/C][C]18[/C][C]13.048[/C][C]4.95201[/C][/ROW]
[ROW][C]156[/C][C]10[/C][C]13.4639[/C][C]-3.46389[/C][/ROW]
[ROW][C]157[/C][C]16[/C][C]13.0701[/C][C]2.92992[/C][/ROW]
[ROW][C]158[/C][C]18[/C][C]12.8741[/C][C]5.12586[/C][/ROW]
[ROW][C]159[/C][C]17[/C][C]12.7701[/C][C]4.22989[/C][/ROW]
[ROW][C]160[/C][C]15[/C][C]12.8873[/C][C]2.11267[/C][/ROW]
[ROW][C]161[/C][C]14[/C][C]13.334[/C][C]0.665968[/C][/ROW]
[ROW][C]162[/C][C]19[/C][C]13.1299[/C][C]5.87007[/C][/ROW]
[ROW][C]163[/C][C]16[/C][C]13.3007[/C][C]2.69931[/C][/ROW]
[ROW][C]164[/C][C]15[/C][C]12.9724[/C][C]2.02759[/C][/ROW]
[ROW][C]165[/C][C]12[/C][C]13.1324[/C][C]-1.13239[/C][/ROW]
[ROW][C]166[/C][C]18[/C][C]12.9787[/C][C]5.0213[/C][/ROW]
[ROW][C]167[/C][C]16[/C][C]13.0556[/C][C]2.94445[/C][/ROW]
[ROW][C]168[/C][C]17[/C][C]13.1223[/C][C]3.87771[/C][/ROW]
[ROW][C]169[/C][C]16[/C][C]12.9982[/C][C]3.00175[/C][/ROW]
[ROW][C]170[/C][C]20[/C][C]12.9851[/C][C]7.01495[/C][/ROW]
[ROW][C]171[/C][C]11[/C][C]12.4558[/C][C]-1.45576[/C][/ROW]
[ROW][C]172[/C][C]18[/C][C]13.1072[/C][C]4.89277[/C][/ROW]
[ROW][C]173[/C][C]15[/C][C]13.1552[/C][C]1.84485[/C][/ROW]
[ROW][C]174[/C][C]15[/C][C]13.1929[/C][C]1.80708[/C][/ROW]
[ROW][C]175[/C][C]11[/C][C]12.5673[/C][C]-1.56728[/C][/ROW]
[ROW][C]176[/C][C]16[/C][C]13.1218[/C][C]2.87824[/C][/ROW]
[ROW][C]177[/C][C]18[/C][C]13.1028[/C][C]4.89719[/C][/ROW]
[ROW][C]178[/C][C]15[/C][C]12.8193[/C][C]2.18069[/C][/ROW]
[ROW][C]179[/C][C]15[/C][C]13.1955[/C][C]1.80454[/C][/ROW]
[ROW][C]180[/C][C]15[/C][C]13.0153[/C][C]1.98475[/C][/ROW]
[ROW][C]181[/C][C]18[/C][C]12.9314[/C][C]5.06856[/C][/ROW]
[ROW][C]182[/C][C]13[/C][C]13.0537[/C][C]-0.0536721[/C][/ROW]
[ROW][C]183[/C][C]19[/C][C]12.6113[/C][C]6.38868[/C][/ROW]
[ROW][C]184[/C][C]15[/C][C]12.8029[/C][C]2.19709[/C][/ROW]
[ROW][C]185[/C][C]8[/C][C]12.9396[/C][C]-4.93961[/C][/ROW]
[ROW][C]186[/C][C]13[/C][C]13.0827[/C][C]-0.0826586[/C][/ROW]
[ROW][C]187[/C][C]14[/C][C]13.0417[/C][C]0.958313[/C][/ROW]
[ROW][C]188[/C][C]19[/C][C]13.4318[/C][C]5.56825[/C][/ROW]
[ROW][C]189[/C][C]15[/C][C]12.9144[/C][C]2.08556[/C][/ROW]
[ROW][C]190[/C][C]13[/C][C]12.6164[/C][C]0.383592[/C][/ROW]
[ROW][C]191[/C][C]16[/C][C]13.0007[/C][C]2.99927[/C][/ROW]
[ROW][C]192[/C][C]17[/C][C]12.9938[/C][C]4.00617[/C][/ROW]
[ROW][C]193[/C][C]13[/C][C]13.0027[/C][C]-0.00266772[/C][/ROW]
[ROW][C]194[/C][C]12[/C][C]12.8817[/C][C]-0.881705[/C][/ROW]
[ROW][C]195[/C][C]13[/C][C]13.0959[/C][C]-0.0959122[/C][/ROW]
[ROW][C]196[/C][C]10[/C][C]12.8142[/C][C]-2.81423[/C][/ROW]
[ROW][C]197[/C][C]15[/C][C]12.6801[/C][C]2.31992[/C][/ROW]
[ROW][C]198[/C][C]10[/C][C]13.0209[/C][C]-3.02088[/C][/ROW]
[ROW][C]199[/C][C]18[/C][C]12.7922[/C][C]5.20779[/C][/ROW]
[ROW][C]200[/C][C]14[/C][C]13.1393[/C][C]0.860708[/C][/ROW]
[ROW][C]201[/C][C]15[/C][C]12.6517[/C][C]2.34831[/C][/ROW]
[ROW][C]202[/C][C]15[/C][C]13.0581[/C][C]1.94191[/C][/ROW]
[ROW][C]203[/C][C]14[/C][C]12.6271[/C][C]1.37288[/C][/ROW]
[ROW][C]204[/C][C]15[/C][C]12.9988[/C][C]2.00115[/C][/ROW]
[ROW][C]205[/C][C]16[/C][C]12.8716[/C][C]3.1284[/C][/ROW]
[ROW][C]206[/C][C]19[/C][C]11.6745[/C][C]7.32551[/C][/ROW]
[ROW][C]207[/C][C]14[/C][C]12.8426[/C][C]1.15739[/C][/ROW]
[ROW][C]208[/C][C]14[/C][C]13.1652[/C][C]0.834799[/C][/ROW]
[ROW][C]209[/C][C]16[/C][C]12.8678[/C][C]3.13216[/C][/ROW]
[ROW][C]210[/C][C]13[/C][C]12.7109[/C][C]0.289065[/C][/ROW]
[ROW][C]211[/C][C]15[/C][C]13.0126[/C][C]1.98736[/C][/ROW]
[ROW][C]212[/C][C]10[/C][C]13.5124[/C][C]-3.51236[/C][/ROW]
[ROW][C]213[/C][C]13[/C][C]13.053[/C][C]-0.0530021[/C][/ROW]
[ROW][C]214[/C][C]12[/C][C]12.9919[/C][C]-0.991894[/C][/ROW]
[ROW][C]215[/C][C]19[/C][C]13.0606[/C][C]5.93943[/C][/ROW]
[ROW][C]216[/C][C]17[/C][C]13.208[/C][C]3.79196[/C][/ROW]
[ROW][C]217[/C][C]11[/C][C]13.0612[/C][C]-2.06124[/C][/ROW]
[ROW][C]218[/C][C]15[/C][C]13.5055[/C][C]1.49454[/C][/ROW]
[ROW][C]219[/C][C]12[/C][C]12.939[/C][C]-0.939008[/C][/ROW]
[ROW][C]220[/C][C]13[/C][C]13.3007[/C][C]-0.300685[/C][/ROW]
[ROW][C]221[/C][C]16[/C][C]13.2112[/C][C]2.78881[/C][/ROW]
[ROW][C]222[/C][C]12[/C][C]12.6473[/C][C]-0.647275[/C][/ROW]
[ROW][C]223[/C][C]16[/C][C]12.7273[/C][C]3.27273[/C][/ROW]
[ROW][C]224[/C][C]14[/C][C]13.5533[/C][C]0.446744[/C][/ROW]
[ROW][C]225[/C][C]18[/C][C]13.0442[/C][C]4.95576[/C][/ROW]
[ROW][C]226[/C][C]11[/C][C]12.9396[/C][C]-1.93961[/C][/ROW]
[ROW][C]227[/C][C]16[/C][C]12.946[/C][C]3.05404[/C][/ROW]
[ROW][C]228[/C][C]18[/C][C]12.9144[/C][C]5.08556[/C][/ROW]
[ROW][C]229[/C][C]8[/C][C]12.5414[/C][C]-4.54145[/C][/ROW]
[ROW][C]230[/C][C]12[/C][C]12.9157[/C][C]-0.915708[/C][/ROW]
[ROW][C]231[/C][C]16[/C][C]13.1129[/C][C]2.88709[/C][/ROW]
[ROW][C]232[/C][C]19[/C][C]12.5856[/C][C]6.41445[/C][/ROW]
[ROW][C]233[/C][C]15[/C][C]12.9831[/C][C]2.01688[/C][/ROW]
[ROW][C]234[/C][C]17[/C][C]13.1148[/C][C]3.88521[/C][/ROW]
[ROW][C]235[/C][C]16[/C][C]12.893[/C][C]3.10698[/C][/ROW]
[ROW][C]236[/C][C]18[/C][C]13.0732[/C][C]4.92678[/C][/ROW]
[ROW][C]237[/C][C]19[/C][C]13.0871[/C][C]5.91292[/C][/ROW]
[ROW][C]238[/C][C]19[/C][C]13.1526[/C][C]5.84738[/C][/ROW]
[ROW][C]239[/C][C]19[/C][C]13.4991[/C][C]5.5009[/C][/ROW]
[ROW][C]240[/C][C]13[/C][C]13.1268[/C][C]-0.12678[/C][/ROW]
[ROW][C]241[/C][C]13[/C][C]13.0827[/C][C]-0.0826586[/C][/ROW]
[ROW][C]242[/C][C]10[/C][C]13.5313[/C][C]-3.5313[/C][/ROW]
[ROW][C]243[/C][C]5[/C][C]12.9144[/C][C]-7.91444[/C][/ROW]
[ROW][C]244[/C][C]12[/C][C]13.266[/C][C]-1.26601[/C][/ROW]
[ROW][C]245[/C][C]14[/C][C]13.0776[/C][C]0.922358[/C][/ROW]
[ROW][C]246[/C][C]12[/C][C]12.6378[/C][C]-0.637827[/C][/ROW]
[ROW][C]247[/C][C]12[/C][C]12.6164[/C][C]-0.616422[/C][/ROW]
[ROW][C]248[/C][C]13[/C][C]13.3404[/C][C]-0.340389[/C][/ROW]
[ROW][C]249[/C][C]11[/C][C]12.9573[/C][C]-1.95728[/C][/ROW]
[ROW][C]250[/C][C]15[/C][C]12.91[/C][C]2.08998[/C][/ROW]
[ROW][C]251[/C][C]20[/C][C]12.7324[/C][C]7.26765[/C][/ROW]
[ROW][C]252[/C][C]18[/C][C]13.1866[/C][C]4.81338[/C][/ROW]
[ROW][C]253[/C][C]11[/C][C]13.3593[/C][C]-2.35926[/C][/ROW]
[ROW][C]254[/C][C]15[/C][C]13.0354[/C][C]1.9646[/C][/ROW]
[ROW][C]255[/C][C]18[/C][C]12.6599[/C][C]5.34014[/C][/ROW]
[ROW][C]256[/C][C]14[/C][C]12.847[/C][C]1.15304[/C][/ROW]
[ROW][C]257[/C][C]16[/C][C]12.968[/C][C]3.03201[/C][/ROW]
[ROW][C]258[/C][C]13[/C][C]13.2578[/C][C]-0.257847[/C][/ROW]
[ROW][C]259[/C][C]12[/C][C]12.9447[/C][C]-0.944695[/C][/ROW]
[ROW][C]260[/C][C]12[/C][C]13.3064[/C][C]-1.30637[/C][/ROW]
[ROW][C]261[/C][C]15[/C][C]12.8319[/C][C]2.1681[/C][/ROW]
[ROW][C]262[/C][C]15[/C][C]12.1042[/C][C]2.89583[/C][/ROW]
[ROW][C]263[/C][C]13[/C][C]12.6744[/C][C]0.325619[/C][/ROW]
[ROW][C]264[/C][C]17[/C][C]12.9894[/C][C]4.01059[/C][/ROW]
[ROW][C]265[/C][C]8[/C][C]12.5137[/C][C]-4.51373[/C][/ROW]
[ROW][C]266[/C][C]8[/C][C]13.0909[/C][C]-5.0909[/C][/ROW]
[ROW][C]267[/C][C]13[/C][C]13.0959[/C][C]-0.0959122[/C][/ROW]
[ROW][C]268[/C][C]8[/C][C]12.9062[/C][C]-4.9062[/C][/ROW]
[ROW][C]269[/C][C]11[/C][C]12.692[/C][C]-1.692[/C][/ROW]
[ROW][C]270[/C][C]12[/C][C]12.881[/C][C]-0.881035[/C][/ROW]
[ROW][C]271[/C][C]10[/C][C]12.5389[/C][C]-2.5389[/C][/ROW]
[ROW][C]272[/C][C]15[/C][C]12.9793[/C][C]2.02069[/C][/ROW]
[ROW][C]273[/C][C]17[/C][C]12.9472[/C][C]4.05283[/C][/ROW]
[ROW][C]274[/C][C]13[/C][C]13.0121[/C][C]-0.0121019[/C][/ROW]
[ROW][C]275[/C][C]14[/C][C]13.0599[/C][C]0.940101[/C][/ROW]
[ROW][C]276[/C][C]16[/C][C]12.8142[/C][C]3.18576[/C][/ROW]
[ROW][C]277[/C][C]17[/C][C]12.9812[/C][C]4.01875[/C][/ROW]
[ROW][C]278[/C][C]11[/C][C]13.0184[/C][C]-2.0184[/C][/ROW]
[ROW][C]279[/C][C]15[/C][C]12.7387[/C][C]2.26135[/C][/ROW]
[ROW][C]280[/C][C]12[/C][C]13.077[/C][C]-1.07703[/C][/ROW]
[ROW][C]281[/C][C]15[/C][C]12.9012[/C][C]2.09881[/C][/ROW]
[ROW][C]282[/C][C]18[/C][C]13.1104[/C][C]4.88962[/C][/ROW]
[ROW][C]283[/C][C]15[/C][C]12.939[/C][C]2.06099[/C][/ROW]
[ROW][C]284[/C][C]15[/C][C]12.7739[/C][C]2.22608[/C][/ROW]
[ROW][C]285[/C][C]17[/C][C]12.8395[/C][C]4.16054[/C][/ROW]
[ROW][C]286[/C][C]8[/C][C]12.7235[/C][C]-4.72352[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266326&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266326&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
11312.61570.384262
2712.4054-5.40535
31212.6044-0.604437
41312.90750.0925293
5713.0562-6.05622
6712.6989-5.69895
71312.66050.339471
81512.74682.25318
91313.1456-0.145648
101112.9201-1.92014
11813.1425-5.14251
121112.5062-1.50616
13613.0461-7.04612
141112.5351-1.53515
151213.4002-1.40023
16613.186-7.18602
171112.8382-1.8382
181212.6989-0.69895
19912.9604-3.96043
201013.031-3.03098
211013.1892-3.18917
22613.4078-7.4078
231413.28930.710687
241112.985-1.985
251412.911.08998
261212.9523-0.952262
271112.9314-1.93144
281612.74563.25445
291313.0323-0.0322527
301012.7922-2.79221
311213.1665-1.16647
32812.4721-4.47214
331213.1866-1.18662
34613.2749-7.27491
35912.7342-3.73424
361013.334-3.33396
371112.7658-1.76576
381013.0411-3.04109
391013.312-3.312
401312.8350.164953
41912.8886-3.8886
421213.1085-1.1085
43612.7909-6.79093
441113.1286-2.12865
451313.2786-0.278596
461112.9144-1.91437
471212.8451-0.84508
481112.8962-1.89617
491212.8666-0.86657
50813.014-5.01398
511313.072-0.071956
521212.9516-0.951649
531212.7488-0.748757
54712.973-5.97301
551112.9654-1.96544
561212.9308-0.930843
571313.1438-0.143781
581013.2156-3.21561
59612.7683-6.7683
601412.8811.11896
61813.1154-5.11539
621313.1129-0.112914
63913.1079-4.1079
641313.0858-0.0858081
65812.7998-4.79976
661612.94973.05029
67912.6964-3.69641
68913.1658-4.1658
691112.7462-1.74622
701312.96930.0307367
711513.24521.75481
721213.0171-1.01712
731212.8678-0.867781
741112.9383-1.93834
75912.8899-3.88987
761512.81682.18322
77712.653-5.65296
781313.2679-0.267879
791312.87470.125264
801313.0373-0.0372691
811313.2163-0.216276
821012.7374-2.73737
83812.8061-4.80606
841112.9686-1.96859
851313.0814-0.0813902
861113.1722-2.17216
87412.6996-8.69956
881012.9598-2.95981
891212.9144-0.91444
901113.0801-2.08012
911113.0619-2.06191
92912.8899-3.88987
931313.0612-0.0612393
941312.85650.143534
95612.8079-6.80793
961012.9711-2.97114
97912.7519-3.75189
98812.8073-4.80733
99912.7506-3.75064
100712.7891-5.78906
1011113.0902-2.09023
1021412.74941.25064
103812.9724-4.97241
1041112.7342-1.73424
1051012.801-2.80104
106813.133-5.13299
1071013.2099-3.20992
1081413.060.939972
109912.9617-3.9617
1101413.29310.70694
111513.208-8.20804
112612.8294-6.82936
1131013.1249-3.1249
1141212.9523-0.952262
1151112.9043-1.90434
116412.927-8.92702
1171312.38320.616753
1181812.87675.12333
1191812.63915.36089
1201713.37373.62628
1211312.97170.0282573
1221713.15323.84678
1231913.11485.88521
1241612.85273.14728
1251312.98180.0181531
1261812.86025.13979
1271513.0721.92804
1281112.59-1.58997
1291312.94030.0597233
1301612.71153.28847
1311413.02210.977851
1321913.10985.89022
1331412.92261.07739
1341512.64292.35714
1351612.88423.11582
1361513.38821.61176
1371512.75632.24368
1381213.07-1.07
1391312.69580.304185
1401712.74374.25633
141913.3511-4.35109
1421812.97375.02632
1431613.4842.51596
1441212.4822-0.482192
1451813.2734.72703
1461513.01021.98976
1471813.04434.9557
1481613.13622.86379
1491613.24592.75414
1501812.94095.05912
1511413.22380.776156
1521212.7972-0.797225
1531413.14630.853682
1541512.84762.15237
1551813.0484.95201
1561013.4639-3.46389
1571613.07012.92992
1581812.87415.12586
1591712.77014.22989
1601512.88732.11267
1611413.3340.665968
1621913.12995.87007
1631613.30072.69931
1641512.97242.02759
1651213.1324-1.13239
1661812.97875.0213
1671613.05562.94445
1681713.12233.87771
1691612.99823.00175
1702012.98517.01495
1711112.4558-1.45576
1721813.10724.89277
1731513.15521.84485
1741513.19291.80708
1751112.5673-1.56728
1761613.12182.87824
1771813.10284.89719
1781512.81932.18069
1791513.19551.80454
1801513.01531.98475
1811812.93145.06856
1821313.0537-0.0536721
1831912.61136.38868
1841512.80292.19709
185812.9396-4.93961
1861313.0827-0.0826586
1871413.04170.958313
1881913.43185.56825
1891512.91442.08556
1901312.61640.383592
1911613.00072.99927
1921712.99384.00617
1931313.0027-0.00266772
1941212.8817-0.881705
1951313.0959-0.0959122
1961012.8142-2.81423
1971512.68012.31992
1981013.0209-3.02088
1991812.79225.20779
2001413.13930.860708
2011512.65172.34831
2021513.05811.94191
2031412.62711.37288
2041512.99882.00115
2051612.87163.1284
2061911.67457.32551
2071412.84261.15739
2081413.16520.834799
2091612.86783.13216
2101312.71090.289065
2111513.01261.98736
2121013.5124-3.51236
2131313.053-0.0530021
2141212.9919-0.991894
2151913.06065.93943
2161713.2083.79196
2171113.0612-2.06124
2181513.50551.49454
2191212.939-0.939008
2201313.3007-0.300685
2211613.21122.78881
2221212.6473-0.647275
2231612.72733.27273
2241413.55330.446744
2251813.04424.95576
2261112.9396-1.93961
2271612.9463.05404
2281812.91445.08556
229812.5414-4.54145
2301212.9157-0.915708
2311613.11292.88709
2321912.58566.41445
2331512.98312.01688
2341713.11483.88521
2351612.8933.10698
2361813.07324.92678
2371913.08715.91292
2381913.15265.84738
2391913.49915.5009
2401313.1268-0.12678
2411313.0827-0.0826586
2421013.5313-3.5313
243512.9144-7.91444
2441213.266-1.26601
2451413.07760.922358
2461212.6378-0.637827
2471212.6164-0.616422
2481313.3404-0.340389
2491112.9573-1.95728
2501512.912.08998
2512012.73247.26765
2521813.18664.81338
2531113.3593-2.35926
2541513.03541.9646
2551812.65995.34014
2561412.8471.15304
2571612.9683.03201
2581313.2578-0.257847
2591212.9447-0.944695
2601213.3064-1.30637
2611512.83192.1681
2621512.10422.89583
2631312.67440.325619
2641712.98944.01059
265812.5137-4.51373
266813.0909-5.0909
2671313.0959-0.0959122
268812.9062-4.9062
2691112.692-1.692
2701212.881-0.881035
2711012.5389-2.5389
2721512.97932.02069
2731712.94724.05283
2741313.0121-0.0121019
2751413.05990.940101
2761612.81423.18576
2771712.98124.01875
2781113.0184-2.0184
2791512.73872.26135
2801213.077-1.07703
2811512.90122.09881
2821813.11044.88962
2831512.9392.06099
2841512.77392.22608
2851712.83954.16054
286812.7235-4.72352






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.5457350.9085290.454265
80.4172150.8344310.582785
90.2923370.5846730.707663
100.1859730.3719450.814027
110.3581430.7162860.641857
120.2800750.560150.719925
130.3838160.7676310.616184
140.3021740.6043480.697826
150.2755270.5510550.724473
160.2669820.5339630.733018
170.2045760.4091530.795424
180.1545450.3090890.845455
190.1209210.2418420.879079
200.08791870.1758370.912081
210.0698070.1396140.930193
220.0702880.1405760.929712
230.0808350.161670.919165
240.0575210.1150420.942479
250.06255610.1251120.937444
260.06239530.1247910.937605
270.04447740.08895470.955523
280.04551390.09102780.954486
290.03848850.07697690.961512
300.02799150.05598290.972009
310.02334420.04668840.976656
320.01806940.03613870.981931
330.01299510.02599010.987005
340.01113820.02227630.988862
350.009433330.01886670.990567
360.02722910.05445820.972771
370.02043980.04087950.97956
380.0149070.0298140.985093
390.01085460.02170920.989145
400.009229720.01845940.99077
410.007701870.01540370.992298
420.005993090.01198620.994007
430.01529360.03058720.984706
440.01120350.02240690.988797
450.009546410.01909280.990454
460.007908530.01581710.992091
470.005543470.01108690.994457
480.003958620.007917240.996041
490.00335160.006703210.996648
500.003513810.007027620.996486
510.00322260.00644520.996777
520.003076820.006153640.996923
530.002522860.005045720.997477
540.004151030.008302070.995849
550.002982330.005964660.997018
560.002448560.004897130.997551
570.002208030.004416070.997792
580.001654260.003308520.998346
590.002549960.005099920.99745
600.002588230.005176470.997412
610.003134020.006268050.996866
620.00306580.006131590.996934
630.002535080.005070150.997465
640.002190330.004380660.99781
650.002306140.004612290.997694
660.004554860.009109720.995445
670.004389220.008778440.995611
680.004217890.008435790.995782
690.003187660.006375320.996812
700.002897890.005795770.997102
710.003439480.006878950.996561
720.002625780.005251560.997374
730.001928450.003856890.998072
740.001459550.002919090.99854
750.001301470.002602940.998699
760.001646420.003292840.998354
770.002355120.004710240.997645
780.001963380.003926760.998037
790.001685010.003370020.998315
800.001325520.002651040.998674
810.001324640.002649280.998675
820.00106770.002135390.998932
830.001249410.002498810.998751
840.000949520.001899040.99905
850.0007616790.001523360.999238
860.0006000480.00120010.9994
870.003866510.007733020.996133
880.003267520.006535050.996732
890.002635390.005270770.997365
900.002078920.004157850.997921
910.001704390.003408770.998296
920.001625680.003251360.998374
930.00137480.002749610.998625
940.001180820.002361630.998819
950.002911150.005822310.997089
960.002511420.005022840.997489
970.0024230.0048460.997577
980.002886010.005772030.997114
990.002774340.005548670.997226
1000.00428980.008579590.99571
1010.003571090.007142180.996429
1020.003806620.007613230.996193
1030.004749260.009498520.995251
1040.003992620.007985240.996007
1050.003622370.007244750.996378
1060.005625080.01125020.994375
1070.005276770.01055350.994723
1080.005875410.01175080.994125
1090.00629020.01258040.99371
1100.005551680.01110340.994448
1110.02063830.04127650.979362
1120.04244690.08489370.957553
1130.04197970.08395940.95802
1140.03844970.07689930.96155
1150.03476330.06952660.965237
1160.1266440.2532890.873356
1170.1193910.2387830.880609
1180.2109350.421870.789065
1190.3263420.6526850.673658
1200.3827590.7655180.617241
1210.3640870.7281740.635913
1220.4210430.8420870.578957
1230.5673620.8652760.432638
1240.6020910.7958180.397909
1250.5811690.8376630.418831
1260.6663390.6673220.333661
1270.6658150.668370.334185
1280.654690.690620.34531
1290.6352190.7295610.364781
1300.6543320.6913370.345668
1310.6357240.7285520.364276
1320.7444630.5110740.255537
1330.7281110.5437780.271889
1340.7249430.5501150.275057
1350.7349840.5300320.265016
1360.7240740.5518520.275926
1370.7230330.5539330.276967
1380.7026720.5946560.297328
1390.6818140.6363730.318186
1400.7135310.5729370.286469
1410.7459180.5081640.254082
1420.796640.4067210.20336
1430.7970370.4059270.202963
1440.7810960.4378090.218904
1450.8175820.3648360.182418
1460.8087060.3825880.191294
1470.8413860.3172280.158614
1480.8398580.3202840.160142
1490.8358520.3282970.164148
1500.8657940.2684130.134206
1510.8500990.2998030.149901
1520.8366730.3266550.163327
1530.8184790.3630420.181521
1540.8083120.3833760.191688
1550.8380860.3238280.161914
1560.8500270.2999470.149973
1570.8461250.307750.153875
1580.8719870.2560260.128013
1590.8825380.2349250.117462
1600.8736590.2526820.126341
1610.8575590.2848820.142441
1620.8935610.2128780.106439
1630.8866930.2266140.113307
1640.8758950.2482110.124105
1650.8637650.2724710.136235
1660.8834850.2330290.116515
1670.8783710.2432580.121629
1680.8822540.2354920.117746
1690.8771220.2457560.122878
1700.9233520.1532950.0766476
1710.9181070.1637860.081893
1720.9295450.140910.0704551
1730.9197790.1604430.0802214
1740.9091440.1817120.0908561
1750.9044760.1910480.0955241
1760.8978110.2043780.102189
1770.9111340.1777320.0888662
1780.9011550.197690.0988448
1790.8881470.2237060.111853
1800.8749780.2500440.125022
1810.8918290.2163420.108171
1820.875730.2485390.12427
1830.9128820.1742360.0871182
1840.9026040.1947930.0973963
1850.9286840.1426320.0713162
1860.916610.1667790.0833895
1870.9025910.1948190.0974093
1880.9256320.1487360.0743682
1890.9155760.1688480.084424
1900.9017070.1965850.0982927
1910.8945070.2109860.105493
1920.8962750.207450.103725
1930.8801310.2397380.119869
1940.8668260.2663470.133174
1950.8470520.3058950.152948
1960.8527850.2944290.147215
1970.8371250.3257510.162875
1980.8485090.3029830.151491
1990.8649050.270190.135095
2000.8446050.3107890.155395
2010.8278240.3443520.172176
2020.8076840.3846320.192316
2030.7835610.4328780.216439
2040.7603280.4793430.239672
2050.7460080.5079840.253992
2060.8186830.3626340.181317
2070.793460.4130810.20654
2080.7657090.4685820.234291
2090.7576190.4847620.242381
2100.7266660.5466670.273334
2110.6985730.6028530.301427
2120.7233510.5532990.276649
2130.6952520.6094950.304748
2140.6803260.6393490.319674
2150.7189870.5620260.281013
2160.7142190.5715620.285781
2170.7047550.590490.295245
2180.6720820.6558360.327918
2190.6471170.7057670.352883
2200.611340.7773190.38866
2210.5850810.8298380.414919
2220.5530520.8938970.446948
2230.5344730.9310540.465527
2240.4985510.9971030.501449
2250.5208120.9583760.479188
2260.5132560.9734890.486744
2270.4997970.9995940.500203
2280.5271920.9456170.472808
2290.5956050.8087910.404395
2300.5612270.8775460.438773
2310.5428150.914370.457185
2320.6334270.7331450.366573
2330.6016660.7966690.398334
2340.5921840.8156320.407816
2350.5682020.8635960.431798
2360.5963890.8072230.403611
2370.6741590.6516810.325841
2380.7441670.5116660.255833
2390.7868640.4262710.213136
2400.7509720.4980560.249028
2410.7107370.5785270.289263
2420.6939780.6120440.306022
2430.8895130.2209750.110487
2440.8701810.2596370.129819
2450.8413920.3172150.158608
2460.8092220.3815560.190778
2470.7886360.4227280.211364
2480.7511240.4977520.248876
2490.73220.53560.2678
2500.6910990.6178010.308901
2510.8368990.3262030.163101
2520.8668480.2663050.133152
2530.8467510.3064980.153249
2540.8148910.3702170.185109
2550.8546890.2906230.145311
2560.817760.364480.18224
2570.7942950.4114110.205705
2580.747980.5040410.25202
2590.7013830.5972340.298617
2600.6470820.7058350.352918
2610.6059080.7881840.394092
2620.7736780.4526440.226322
2630.7685630.4628740.231437
2640.7568360.4863290.243164
2650.744710.510580.25529
2660.9239750.1520490.0760247
2670.8973670.2052650.102633
2680.9396470.1207070.0603534
2690.92140.15720.0786
2700.9005750.198850.0994252
2710.8631380.2737250.136862
2720.8112730.3774530.188727
2730.779420.4411610.22058
2740.6970540.6058920.302946
2750.5917330.8165340.408267
2760.5007110.9985770.499289
2770.3970870.7941740.602913
2780.6020830.7958330.397917
2790.433530.867060.56647

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
7 & 0.545735 & 0.908529 & 0.454265 \tabularnewline
8 & 0.417215 & 0.834431 & 0.582785 \tabularnewline
9 & 0.292337 & 0.584673 & 0.707663 \tabularnewline
10 & 0.185973 & 0.371945 & 0.814027 \tabularnewline
11 & 0.358143 & 0.716286 & 0.641857 \tabularnewline
12 & 0.280075 & 0.56015 & 0.719925 \tabularnewline
13 & 0.383816 & 0.767631 & 0.616184 \tabularnewline
14 & 0.302174 & 0.604348 & 0.697826 \tabularnewline
15 & 0.275527 & 0.551055 & 0.724473 \tabularnewline
16 & 0.266982 & 0.533963 & 0.733018 \tabularnewline
17 & 0.204576 & 0.409153 & 0.795424 \tabularnewline
18 & 0.154545 & 0.309089 & 0.845455 \tabularnewline
19 & 0.120921 & 0.241842 & 0.879079 \tabularnewline
20 & 0.0879187 & 0.175837 & 0.912081 \tabularnewline
21 & 0.069807 & 0.139614 & 0.930193 \tabularnewline
22 & 0.070288 & 0.140576 & 0.929712 \tabularnewline
23 & 0.080835 & 0.16167 & 0.919165 \tabularnewline
24 & 0.057521 & 0.115042 & 0.942479 \tabularnewline
25 & 0.0625561 & 0.125112 & 0.937444 \tabularnewline
26 & 0.0623953 & 0.124791 & 0.937605 \tabularnewline
27 & 0.0444774 & 0.0889547 & 0.955523 \tabularnewline
28 & 0.0455139 & 0.0910278 & 0.954486 \tabularnewline
29 & 0.0384885 & 0.0769769 & 0.961512 \tabularnewline
30 & 0.0279915 & 0.0559829 & 0.972009 \tabularnewline
31 & 0.0233442 & 0.0466884 & 0.976656 \tabularnewline
32 & 0.0180694 & 0.0361387 & 0.981931 \tabularnewline
33 & 0.0129951 & 0.0259901 & 0.987005 \tabularnewline
34 & 0.0111382 & 0.0222763 & 0.988862 \tabularnewline
35 & 0.00943333 & 0.0188667 & 0.990567 \tabularnewline
36 & 0.0272291 & 0.0544582 & 0.972771 \tabularnewline
37 & 0.0204398 & 0.0408795 & 0.97956 \tabularnewline
38 & 0.014907 & 0.029814 & 0.985093 \tabularnewline
39 & 0.0108546 & 0.0217092 & 0.989145 \tabularnewline
40 & 0.00922972 & 0.0184594 & 0.99077 \tabularnewline
41 & 0.00770187 & 0.0154037 & 0.992298 \tabularnewline
42 & 0.00599309 & 0.0119862 & 0.994007 \tabularnewline
43 & 0.0152936 & 0.0305872 & 0.984706 \tabularnewline
44 & 0.0112035 & 0.0224069 & 0.988797 \tabularnewline
45 & 0.00954641 & 0.0190928 & 0.990454 \tabularnewline
46 & 0.00790853 & 0.0158171 & 0.992091 \tabularnewline
47 & 0.00554347 & 0.0110869 & 0.994457 \tabularnewline
48 & 0.00395862 & 0.00791724 & 0.996041 \tabularnewline
49 & 0.0033516 & 0.00670321 & 0.996648 \tabularnewline
50 & 0.00351381 & 0.00702762 & 0.996486 \tabularnewline
51 & 0.0032226 & 0.0064452 & 0.996777 \tabularnewline
52 & 0.00307682 & 0.00615364 & 0.996923 \tabularnewline
53 & 0.00252286 & 0.00504572 & 0.997477 \tabularnewline
54 & 0.00415103 & 0.00830207 & 0.995849 \tabularnewline
55 & 0.00298233 & 0.00596466 & 0.997018 \tabularnewline
56 & 0.00244856 & 0.00489713 & 0.997551 \tabularnewline
57 & 0.00220803 & 0.00441607 & 0.997792 \tabularnewline
58 & 0.00165426 & 0.00330852 & 0.998346 \tabularnewline
59 & 0.00254996 & 0.00509992 & 0.99745 \tabularnewline
60 & 0.00258823 & 0.00517647 & 0.997412 \tabularnewline
61 & 0.00313402 & 0.00626805 & 0.996866 \tabularnewline
62 & 0.0030658 & 0.00613159 & 0.996934 \tabularnewline
63 & 0.00253508 & 0.00507015 & 0.997465 \tabularnewline
64 & 0.00219033 & 0.00438066 & 0.99781 \tabularnewline
65 & 0.00230614 & 0.00461229 & 0.997694 \tabularnewline
66 & 0.00455486 & 0.00910972 & 0.995445 \tabularnewline
67 & 0.00438922 & 0.00877844 & 0.995611 \tabularnewline
68 & 0.00421789 & 0.00843579 & 0.995782 \tabularnewline
69 & 0.00318766 & 0.00637532 & 0.996812 \tabularnewline
70 & 0.00289789 & 0.00579577 & 0.997102 \tabularnewline
71 & 0.00343948 & 0.00687895 & 0.996561 \tabularnewline
72 & 0.00262578 & 0.00525156 & 0.997374 \tabularnewline
73 & 0.00192845 & 0.00385689 & 0.998072 \tabularnewline
74 & 0.00145955 & 0.00291909 & 0.99854 \tabularnewline
75 & 0.00130147 & 0.00260294 & 0.998699 \tabularnewline
76 & 0.00164642 & 0.00329284 & 0.998354 \tabularnewline
77 & 0.00235512 & 0.00471024 & 0.997645 \tabularnewline
78 & 0.00196338 & 0.00392676 & 0.998037 \tabularnewline
79 & 0.00168501 & 0.00337002 & 0.998315 \tabularnewline
80 & 0.00132552 & 0.00265104 & 0.998674 \tabularnewline
81 & 0.00132464 & 0.00264928 & 0.998675 \tabularnewline
82 & 0.0010677 & 0.00213539 & 0.998932 \tabularnewline
83 & 0.00124941 & 0.00249881 & 0.998751 \tabularnewline
84 & 0.00094952 & 0.00189904 & 0.99905 \tabularnewline
85 & 0.000761679 & 0.00152336 & 0.999238 \tabularnewline
86 & 0.000600048 & 0.0012001 & 0.9994 \tabularnewline
87 & 0.00386651 & 0.00773302 & 0.996133 \tabularnewline
88 & 0.00326752 & 0.00653505 & 0.996732 \tabularnewline
89 & 0.00263539 & 0.00527077 & 0.997365 \tabularnewline
90 & 0.00207892 & 0.00415785 & 0.997921 \tabularnewline
91 & 0.00170439 & 0.00340877 & 0.998296 \tabularnewline
92 & 0.00162568 & 0.00325136 & 0.998374 \tabularnewline
93 & 0.0013748 & 0.00274961 & 0.998625 \tabularnewline
94 & 0.00118082 & 0.00236163 & 0.998819 \tabularnewline
95 & 0.00291115 & 0.00582231 & 0.997089 \tabularnewline
96 & 0.00251142 & 0.00502284 & 0.997489 \tabularnewline
97 & 0.002423 & 0.004846 & 0.997577 \tabularnewline
98 & 0.00288601 & 0.00577203 & 0.997114 \tabularnewline
99 & 0.00277434 & 0.00554867 & 0.997226 \tabularnewline
100 & 0.0042898 & 0.00857959 & 0.99571 \tabularnewline
101 & 0.00357109 & 0.00714218 & 0.996429 \tabularnewline
102 & 0.00380662 & 0.00761323 & 0.996193 \tabularnewline
103 & 0.00474926 & 0.00949852 & 0.995251 \tabularnewline
104 & 0.00399262 & 0.00798524 & 0.996007 \tabularnewline
105 & 0.00362237 & 0.00724475 & 0.996378 \tabularnewline
106 & 0.00562508 & 0.0112502 & 0.994375 \tabularnewline
107 & 0.00527677 & 0.0105535 & 0.994723 \tabularnewline
108 & 0.00587541 & 0.0117508 & 0.994125 \tabularnewline
109 & 0.0062902 & 0.0125804 & 0.99371 \tabularnewline
110 & 0.00555168 & 0.0111034 & 0.994448 \tabularnewline
111 & 0.0206383 & 0.0412765 & 0.979362 \tabularnewline
112 & 0.0424469 & 0.0848937 & 0.957553 \tabularnewline
113 & 0.0419797 & 0.0839594 & 0.95802 \tabularnewline
114 & 0.0384497 & 0.0768993 & 0.96155 \tabularnewline
115 & 0.0347633 & 0.0695266 & 0.965237 \tabularnewline
116 & 0.126644 & 0.253289 & 0.873356 \tabularnewline
117 & 0.119391 & 0.238783 & 0.880609 \tabularnewline
118 & 0.210935 & 0.42187 & 0.789065 \tabularnewline
119 & 0.326342 & 0.652685 & 0.673658 \tabularnewline
120 & 0.382759 & 0.765518 & 0.617241 \tabularnewline
121 & 0.364087 & 0.728174 & 0.635913 \tabularnewline
122 & 0.421043 & 0.842087 & 0.578957 \tabularnewline
123 & 0.567362 & 0.865276 & 0.432638 \tabularnewline
124 & 0.602091 & 0.795818 & 0.397909 \tabularnewline
125 & 0.581169 & 0.837663 & 0.418831 \tabularnewline
126 & 0.666339 & 0.667322 & 0.333661 \tabularnewline
127 & 0.665815 & 0.66837 & 0.334185 \tabularnewline
128 & 0.65469 & 0.69062 & 0.34531 \tabularnewline
129 & 0.635219 & 0.729561 & 0.364781 \tabularnewline
130 & 0.654332 & 0.691337 & 0.345668 \tabularnewline
131 & 0.635724 & 0.728552 & 0.364276 \tabularnewline
132 & 0.744463 & 0.511074 & 0.255537 \tabularnewline
133 & 0.728111 & 0.543778 & 0.271889 \tabularnewline
134 & 0.724943 & 0.550115 & 0.275057 \tabularnewline
135 & 0.734984 & 0.530032 & 0.265016 \tabularnewline
136 & 0.724074 & 0.551852 & 0.275926 \tabularnewline
137 & 0.723033 & 0.553933 & 0.276967 \tabularnewline
138 & 0.702672 & 0.594656 & 0.297328 \tabularnewline
139 & 0.681814 & 0.636373 & 0.318186 \tabularnewline
140 & 0.713531 & 0.572937 & 0.286469 \tabularnewline
141 & 0.745918 & 0.508164 & 0.254082 \tabularnewline
142 & 0.79664 & 0.406721 & 0.20336 \tabularnewline
143 & 0.797037 & 0.405927 & 0.202963 \tabularnewline
144 & 0.781096 & 0.437809 & 0.218904 \tabularnewline
145 & 0.817582 & 0.364836 & 0.182418 \tabularnewline
146 & 0.808706 & 0.382588 & 0.191294 \tabularnewline
147 & 0.841386 & 0.317228 & 0.158614 \tabularnewline
148 & 0.839858 & 0.320284 & 0.160142 \tabularnewline
149 & 0.835852 & 0.328297 & 0.164148 \tabularnewline
150 & 0.865794 & 0.268413 & 0.134206 \tabularnewline
151 & 0.850099 & 0.299803 & 0.149901 \tabularnewline
152 & 0.836673 & 0.326655 & 0.163327 \tabularnewline
153 & 0.818479 & 0.363042 & 0.181521 \tabularnewline
154 & 0.808312 & 0.383376 & 0.191688 \tabularnewline
155 & 0.838086 & 0.323828 & 0.161914 \tabularnewline
156 & 0.850027 & 0.299947 & 0.149973 \tabularnewline
157 & 0.846125 & 0.30775 & 0.153875 \tabularnewline
158 & 0.871987 & 0.256026 & 0.128013 \tabularnewline
159 & 0.882538 & 0.234925 & 0.117462 \tabularnewline
160 & 0.873659 & 0.252682 & 0.126341 \tabularnewline
161 & 0.857559 & 0.284882 & 0.142441 \tabularnewline
162 & 0.893561 & 0.212878 & 0.106439 \tabularnewline
163 & 0.886693 & 0.226614 & 0.113307 \tabularnewline
164 & 0.875895 & 0.248211 & 0.124105 \tabularnewline
165 & 0.863765 & 0.272471 & 0.136235 \tabularnewline
166 & 0.883485 & 0.233029 & 0.116515 \tabularnewline
167 & 0.878371 & 0.243258 & 0.121629 \tabularnewline
168 & 0.882254 & 0.235492 & 0.117746 \tabularnewline
169 & 0.877122 & 0.245756 & 0.122878 \tabularnewline
170 & 0.923352 & 0.153295 & 0.0766476 \tabularnewline
171 & 0.918107 & 0.163786 & 0.081893 \tabularnewline
172 & 0.929545 & 0.14091 & 0.0704551 \tabularnewline
173 & 0.919779 & 0.160443 & 0.0802214 \tabularnewline
174 & 0.909144 & 0.181712 & 0.0908561 \tabularnewline
175 & 0.904476 & 0.191048 & 0.0955241 \tabularnewline
176 & 0.897811 & 0.204378 & 0.102189 \tabularnewline
177 & 0.911134 & 0.177732 & 0.0888662 \tabularnewline
178 & 0.901155 & 0.19769 & 0.0988448 \tabularnewline
179 & 0.888147 & 0.223706 & 0.111853 \tabularnewline
180 & 0.874978 & 0.250044 & 0.125022 \tabularnewline
181 & 0.891829 & 0.216342 & 0.108171 \tabularnewline
182 & 0.87573 & 0.248539 & 0.12427 \tabularnewline
183 & 0.912882 & 0.174236 & 0.0871182 \tabularnewline
184 & 0.902604 & 0.194793 & 0.0973963 \tabularnewline
185 & 0.928684 & 0.142632 & 0.0713162 \tabularnewline
186 & 0.91661 & 0.166779 & 0.0833895 \tabularnewline
187 & 0.902591 & 0.194819 & 0.0974093 \tabularnewline
188 & 0.925632 & 0.148736 & 0.0743682 \tabularnewline
189 & 0.915576 & 0.168848 & 0.084424 \tabularnewline
190 & 0.901707 & 0.196585 & 0.0982927 \tabularnewline
191 & 0.894507 & 0.210986 & 0.105493 \tabularnewline
192 & 0.896275 & 0.20745 & 0.103725 \tabularnewline
193 & 0.880131 & 0.239738 & 0.119869 \tabularnewline
194 & 0.866826 & 0.266347 & 0.133174 \tabularnewline
195 & 0.847052 & 0.305895 & 0.152948 \tabularnewline
196 & 0.852785 & 0.294429 & 0.147215 \tabularnewline
197 & 0.837125 & 0.325751 & 0.162875 \tabularnewline
198 & 0.848509 & 0.302983 & 0.151491 \tabularnewline
199 & 0.864905 & 0.27019 & 0.135095 \tabularnewline
200 & 0.844605 & 0.310789 & 0.155395 \tabularnewline
201 & 0.827824 & 0.344352 & 0.172176 \tabularnewline
202 & 0.807684 & 0.384632 & 0.192316 \tabularnewline
203 & 0.783561 & 0.432878 & 0.216439 \tabularnewline
204 & 0.760328 & 0.479343 & 0.239672 \tabularnewline
205 & 0.746008 & 0.507984 & 0.253992 \tabularnewline
206 & 0.818683 & 0.362634 & 0.181317 \tabularnewline
207 & 0.79346 & 0.413081 & 0.20654 \tabularnewline
208 & 0.765709 & 0.468582 & 0.234291 \tabularnewline
209 & 0.757619 & 0.484762 & 0.242381 \tabularnewline
210 & 0.726666 & 0.546667 & 0.273334 \tabularnewline
211 & 0.698573 & 0.602853 & 0.301427 \tabularnewline
212 & 0.723351 & 0.553299 & 0.276649 \tabularnewline
213 & 0.695252 & 0.609495 & 0.304748 \tabularnewline
214 & 0.680326 & 0.639349 & 0.319674 \tabularnewline
215 & 0.718987 & 0.562026 & 0.281013 \tabularnewline
216 & 0.714219 & 0.571562 & 0.285781 \tabularnewline
217 & 0.704755 & 0.59049 & 0.295245 \tabularnewline
218 & 0.672082 & 0.655836 & 0.327918 \tabularnewline
219 & 0.647117 & 0.705767 & 0.352883 \tabularnewline
220 & 0.61134 & 0.777319 & 0.38866 \tabularnewline
221 & 0.585081 & 0.829838 & 0.414919 \tabularnewline
222 & 0.553052 & 0.893897 & 0.446948 \tabularnewline
223 & 0.534473 & 0.931054 & 0.465527 \tabularnewline
224 & 0.498551 & 0.997103 & 0.501449 \tabularnewline
225 & 0.520812 & 0.958376 & 0.479188 \tabularnewline
226 & 0.513256 & 0.973489 & 0.486744 \tabularnewline
227 & 0.499797 & 0.999594 & 0.500203 \tabularnewline
228 & 0.527192 & 0.945617 & 0.472808 \tabularnewline
229 & 0.595605 & 0.808791 & 0.404395 \tabularnewline
230 & 0.561227 & 0.877546 & 0.438773 \tabularnewline
231 & 0.542815 & 0.91437 & 0.457185 \tabularnewline
232 & 0.633427 & 0.733145 & 0.366573 \tabularnewline
233 & 0.601666 & 0.796669 & 0.398334 \tabularnewline
234 & 0.592184 & 0.815632 & 0.407816 \tabularnewline
235 & 0.568202 & 0.863596 & 0.431798 \tabularnewline
236 & 0.596389 & 0.807223 & 0.403611 \tabularnewline
237 & 0.674159 & 0.651681 & 0.325841 \tabularnewline
238 & 0.744167 & 0.511666 & 0.255833 \tabularnewline
239 & 0.786864 & 0.426271 & 0.213136 \tabularnewline
240 & 0.750972 & 0.498056 & 0.249028 \tabularnewline
241 & 0.710737 & 0.578527 & 0.289263 \tabularnewline
242 & 0.693978 & 0.612044 & 0.306022 \tabularnewline
243 & 0.889513 & 0.220975 & 0.110487 \tabularnewline
244 & 0.870181 & 0.259637 & 0.129819 \tabularnewline
245 & 0.841392 & 0.317215 & 0.158608 \tabularnewline
246 & 0.809222 & 0.381556 & 0.190778 \tabularnewline
247 & 0.788636 & 0.422728 & 0.211364 \tabularnewline
248 & 0.751124 & 0.497752 & 0.248876 \tabularnewline
249 & 0.7322 & 0.5356 & 0.2678 \tabularnewline
250 & 0.691099 & 0.617801 & 0.308901 \tabularnewline
251 & 0.836899 & 0.326203 & 0.163101 \tabularnewline
252 & 0.866848 & 0.266305 & 0.133152 \tabularnewline
253 & 0.846751 & 0.306498 & 0.153249 \tabularnewline
254 & 0.814891 & 0.370217 & 0.185109 \tabularnewline
255 & 0.854689 & 0.290623 & 0.145311 \tabularnewline
256 & 0.81776 & 0.36448 & 0.18224 \tabularnewline
257 & 0.794295 & 0.411411 & 0.205705 \tabularnewline
258 & 0.74798 & 0.504041 & 0.25202 \tabularnewline
259 & 0.701383 & 0.597234 & 0.298617 \tabularnewline
260 & 0.647082 & 0.705835 & 0.352918 \tabularnewline
261 & 0.605908 & 0.788184 & 0.394092 \tabularnewline
262 & 0.773678 & 0.452644 & 0.226322 \tabularnewline
263 & 0.768563 & 0.462874 & 0.231437 \tabularnewline
264 & 0.756836 & 0.486329 & 0.243164 \tabularnewline
265 & 0.74471 & 0.51058 & 0.25529 \tabularnewline
266 & 0.923975 & 0.152049 & 0.0760247 \tabularnewline
267 & 0.897367 & 0.205265 & 0.102633 \tabularnewline
268 & 0.939647 & 0.120707 & 0.0603534 \tabularnewline
269 & 0.9214 & 0.1572 & 0.0786 \tabularnewline
270 & 0.900575 & 0.19885 & 0.0994252 \tabularnewline
271 & 0.863138 & 0.273725 & 0.136862 \tabularnewline
272 & 0.811273 & 0.377453 & 0.188727 \tabularnewline
273 & 0.77942 & 0.441161 & 0.22058 \tabularnewline
274 & 0.697054 & 0.605892 & 0.302946 \tabularnewline
275 & 0.591733 & 0.816534 & 0.408267 \tabularnewline
276 & 0.500711 & 0.998577 & 0.499289 \tabularnewline
277 & 0.397087 & 0.794174 & 0.602913 \tabularnewline
278 & 0.602083 & 0.795833 & 0.397917 \tabularnewline
279 & 0.43353 & 0.86706 & 0.56647 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266326&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]0.545735[/C][C]0.908529[/C][C]0.454265[/C][/ROW]
[ROW][C]8[/C][C]0.417215[/C][C]0.834431[/C][C]0.582785[/C][/ROW]
[ROW][C]9[/C][C]0.292337[/C][C]0.584673[/C][C]0.707663[/C][/ROW]
[ROW][C]10[/C][C]0.185973[/C][C]0.371945[/C][C]0.814027[/C][/ROW]
[ROW][C]11[/C][C]0.358143[/C][C]0.716286[/C][C]0.641857[/C][/ROW]
[ROW][C]12[/C][C]0.280075[/C][C]0.56015[/C][C]0.719925[/C][/ROW]
[ROW][C]13[/C][C]0.383816[/C][C]0.767631[/C][C]0.616184[/C][/ROW]
[ROW][C]14[/C][C]0.302174[/C][C]0.604348[/C][C]0.697826[/C][/ROW]
[ROW][C]15[/C][C]0.275527[/C][C]0.551055[/C][C]0.724473[/C][/ROW]
[ROW][C]16[/C][C]0.266982[/C][C]0.533963[/C][C]0.733018[/C][/ROW]
[ROW][C]17[/C][C]0.204576[/C][C]0.409153[/C][C]0.795424[/C][/ROW]
[ROW][C]18[/C][C]0.154545[/C][C]0.309089[/C][C]0.845455[/C][/ROW]
[ROW][C]19[/C][C]0.120921[/C][C]0.241842[/C][C]0.879079[/C][/ROW]
[ROW][C]20[/C][C]0.0879187[/C][C]0.175837[/C][C]0.912081[/C][/ROW]
[ROW][C]21[/C][C]0.069807[/C][C]0.139614[/C][C]0.930193[/C][/ROW]
[ROW][C]22[/C][C]0.070288[/C][C]0.140576[/C][C]0.929712[/C][/ROW]
[ROW][C]23[/C][C]0.080835[/C][C]0.16167[/C][C]0.919165[/C][/ROW]
[ROW][C]24[/C][C]0.057521[/C][C]0.115042[/C][C]0.942479[/C][/ROW]
[ROW][C]25[/C][C]0.0625561[/C][C]0.125112[/C][C]0.937444[/C][/ROW]
[ROW][C]26[/C][C]0.0623953[/C][C]0.124791[/C][C]0.937605[/C][/ROW]
[ROW][C]27[/C][C]0.0444774[/C][C]0.0889547[/C][C]0.955523[/C][/ROW]
[ROW][C]28[/C][C]0.0455139[/C][C]0.0910278[/C][C]0.954486[/C][/ROW]
[ROW][C]29[/C][C]0.0384885[/C][C]0.0769769[/C][C]0.961512[/C][/ROW]
[ROW][C]30[/C][C]0.0279915[/C][C]0.0559829[/C][C]0.972009[/C][/ROW]
[ROW][C]31[/C][C]0.0233442[/C][C]0.0466884[/C][C]0.976656[/C][/ROW]
[ROW][C]32[/C][C]0.0180694[/C][C]0.0361387[/C][C]0.981931[/C][/ROW]
[ROW][C]33[/C][C]0.0129951[/C][C]0.0259901[/C][C]0.987005[/C][/ROW]
[ROW][C]34[/C][C]0.0111382[/C][C]0.0222763[/C][C]0.988862[/C][/ROW]
[ROW][C]35[/C][C]0.00943333[/C][C]0.0188667[/C][C]0.990567[/C][/ROW]
[ROW][C]36[/C][C]0.0272291[/C][C]0.0544582[/C][C]0.972771[/C][/ROW]
[ROW][C]37[/C][C]0.0204398[/C][C]0.0408795[/C][C]0.97956[/C][/ROW]
[ROW][C]38[/C][C]0.014907[/C][C]0.029814[/C][C]0.985093[/C][/ROW]
[ROW][C]39[/C][C]0.0108546[/C][C]0.0217092[/C][C]0.989145[/C][/ROW]
[ROW][C]40[/C][C]0.00922972[/C][C]0.0184594[/C][C]0.99077[/C][/ROW]
[ROW][C]41[/C][C]0.00770187[/C][C]0.0154037[/C][C]0.992298[/C][/ROW]
[ROW][C]42[/C][C]0.00599309[/C][C]0.0119862[/C][C]0.994007[/C][/ROW]
[ROW][C]43[/C][C]0.0152936[/C][C]0.0305872[/C][C]0.984706[/C][/ROW]
[ROW][C]44[/C][C]0.0112035[/C][C]0.0224069[/C][C]0.988797[/C][/ROW]
[ROW][C]45[/C][C]0.00954641[/C][C]0.0190928[/C][C]0.990454[/C][/ROW]
[ROW][C]46[/C][C]0.00790853[/C][C]0.0158171[/C][C]0.992091[/C][/ROW]
[ROW][C]47[/C][C]0.00554347[/C][C]0.0110869[/C][C]0.994457[/C][/ROW]
[ROW][C]48[/C][C]0.00395862[/C][C]0.00791724[/C][C]0.996041[/C][/ROW]
[ROW][C]49[/C][C]0.0033516[/C][C]0.00670321[/C][C]0.996648[/C][/ROW]
[ROW][C]50[/C][C]0.00351381[/C][C]0.00702762[/C][C]0.996486[/C][/ROW]
[ROW][C]51[/C][C]0.0032226[/C][C]0.0064452[/C][C]0.996777[/C][/ROW]
[ROW][C]52[/C][C]0.00307682[/C][C]0.00615364[/C][C]0.996923[/C][/ROW]
[ROW][C]53[/C][C]0.00252286[/C][C]0.00504572[/C][C]0.997477[/C][/ROW]
[ROW][C]54[/C][C]0.00415103[/C][C]0.00830207[/C][C]0.995849[/C][/ROW]
[ROW][C]55[/C][C]0.00298233[/C][C]0.00596466[/C][C]0.997018[/C][/ROW]
[ROW][C]56[/C][C]0.00244856[/C][C]0.00489713[/C][C]0.997551[/C][/ROW]
[ROW][C]57[/C][C]0.00220803[/C][C]0.00441607[/C][C]0.997792[/C][/ROW]
[ROW][C]58[/C][C]0.00165426[/C][C]0.00330852[/C][C]0.998346[/C][/ROW]
[ROW][C]59[/C][C]0.00254996[/C][C]0.00509992[/C][C]0.99745[/C][/ROW]
[ROW][C]60[/C][C]0.00258823[/C][C]0.00517647[/C][C]0.997412[/C][/ROW]
[ROW][C]61[/C][C]0.00313402[/C][C]0.00626805[/C][C]0.996866[/C][/ROW]
[ROW][C]62[/C][C]0.0030658[/C][C]0.00613159[/C][C]0.996934[/C][/ROW]
[ROW][C]63[/C][C]0.00253508[/C][C]0.00507015[/C][C]0.997465[/C][/ROW]
[ROW][C]64[/C][C]0.00219033[/C][C]0.00438066[/C][C]0.99781[/C][/ROW]
[ROW][C]65[/C][C]0.00230614[/C][C]0.00461229[/C][C]0.997694[/C][/ROW]
[ROW][C]66[/C][C]0.00455486[/C][C]0.00910972[/C][C]0.995445[/C][/ROW]
[ROW][C]67[/C][C]0.00438922[/C][C]0.00877844[/C][C]0.995611[/C][/ROW]
[ROW][C]68[/C][C]0.00421789[/C][C]0.00843579[/C][C]0.995782[/C][/ROW]
[ROW][C]69[/C][C]0.00318766[/C][C]0.00637532[/C][C]0.996812[/C][/ROW]
[ROW][C]70[/C][C]0.00289789[/C][C]0.00579577[/C][C]0.997102[/C][/ROW]
[ROW][C]71[/C][C]0.00343948[/C][C]0.00687895[/C][C]0.996561[/C][/ROW]
[ROW][C]72[/C][C]0.00262578[/C][C]0.00525156[/C][C]0.997374[/C][/ROW]
[ROW][C]73[/C][C]0.00192845[/C][C]0.00385689[/C][C]0.998072[/C][/ROW]
[ROW][C]74[/C][C]0.00145955[/C][C]0.00291909[/C][C]0.99854[/C][/ROW]
[ROW][C]75[/C][C]0.00130147[/C][C]0.00260294[/C][C]0.998699[/C][/ROW]
[ROW][C]76[/C][C]0.00164642[/C][C]0.00329284[/C][C]0.998354[/C][/ROW]
[ROW][C]77[/C][C]0.00235512[/C][C]0.00471024[/C][C]0.997645[/C][/ROW]
[ROW][C]78[/C][C]0.00196338[/C][C]0.00392676[/C][C]0.998037[/C][/ROW]
[ROW][C]79[/C][C]0.00168501[/C][C]0.00337002[/C][C]0.998315[/C][/ROW]
[ROW][C]80[/C][C]0.00132552[/C][C]0.00265104[/C][C]0.998674[/C][/ROW]
[ROW][C]81[/C][C]0.00132464[/C][C]0.00264928[/C][C]0.998675[/C][/ROW]
[ROW][C]82[/C][C]0.0010677[/C][C]0.00213539[/C][C]0.998932[/C][/ROW]
[ROW][C]83[/C][C]0.00124941[/C][C]0.00249881[/C][C]0.998751[/C][/ROW]
[ROW][C]84[/C][C]0.00094952[/C][C]0.00189904[/C][C]0.99905[/C][/ROW]
[ROW][C]85[/C][C]0.000761679[/C][C]0.00152336[/C][C]0.999238[/C][/ROW]
[ROW][C]86[/C][C]0.000600048[/C][C]0.0012001[/C][C]0.9994[/C][/ROW]
[ROW][C]87[/C][C]0.00386651[/C][C]0.00773302[/C][C]0.996133[/C][/ROW]
[ROW][C]88[/C][C]0.00326752[/C][C]0.00653505[/C][C]0.996732[/C][/ROW]
[ROW][C]89[/C][C]0.00263539[/C][C]0.00527077[/C][C]0.997365[/C][/ROW]
[ROW][C]90[/C][C]0.00207892[/C][C]0.00415785[/C][C]0.997921[/C][/ROW]
[ROW][C]91[/C][C]0.00170439[/C][C]0.00340877[/C][C]0.998296[/C][/ROW]
[ROW][C]92[/C][C]0.00162568[/C][C]0.00325136[/C][C]0.998374[/C][/ROW]
[ROW][C]93[/C][C]0.0013748[/C][C]0.00274961[/C][C]0.998625[/C][/ROW]
[ROW][C]94[/C][C]0.00118082[/C][C]0.00236163[/C][C]0.998819[/C][/ROW]
[ROW][C]95[/C][C]0.00291115[/C][C]0.00582231[/C][C]0.997089[/C][/ROW]
[ROW][C]96[/C][C]0.00251142[/C][C]0.00502284[/C][C]0.997489[/C][/ROW]
[ROW][C]97[/C][C]0.002423[/C][C]0.004846[/C][C]0.997577[/C][/ROW]
[ROW][C]98[/C][C]0.00288601[/C][C]0.00577203[/C][C]0.997114[/C][/ROW]
[ROW][C]99[/C][C]0.00277434[/C][C]0.00554867[/C][C]0.997226[/C][/ROW]
[ROW][C]100[/C][C]0.0042898[/C][C]0.00857959[/C][C]0.99571[/C][/ROW]
[ROW][C]101[/C][C]0.00357109[/C][C]0.00714218[/C][C]0.996429[/C][/ROW]
[ROW][C]102[/C][C]0.00380662[/C][C]0.00761323[/C][C]0.996193[/C][/ROW]
[ROW][C]103[/C][C]0.00474926[/C][C]0.00949852[/C][C]0.995251[/C][/ROW]
[ROW][C]104[/C][C]0.00399262[/C][C]0.00798524[/C][C]0.996007[/C][/ROW]
[ROW][C]105[/C][C]0.00362237[/C][C]0.00724475[/C][C]0.996378[/C][/ROW]
[ROW][C]106[/C][C]0.00562508[/C][C]0.0112502[/C][C]0.994375[/C][/ROW]
[ROW][C]107[/C][C]0.00527677[/C][C]0.0105535[/C][C]0.994723[/C][/ROW]
[ROW][C]108[/C][C]0.00587541[/C][C]0.0117508[/C][C]0.994125[/C][/ROW]
[ROW][C]109[/C][C]0.0062902[/C][C]0.0125804[/C][C]0.99371[/C][/ROW]
[ROW][C]110[/C][C]0.00555168[/C][C]0.0111034[/C][C]0.994448[/C][/ROW]
[ROW][C]111[/C][C]0.0206383[/C][C]0.0412765[/C][C]0.979362[/C][/ROW]
[ROW][C]112[/C][C]0.0424469[/C][C]0.0848937[/C][C]0.957553[/C][/ROW]
[ROW][C]113[/C][C]0.0419797[/C][C]0.0839594[/C][C]0.95802[/C][/ROW]
[ROW][C]114[/C][C]0.0384497[/C][C]0.0768993[/C][C]0.96155[/C][/ROW]
[ROW][C]115[/C][C]0.0347633[/C][C]0.0695266[/C][C]0.965237[/C][/ROW]
[ROW][C]116[/C][C]0.126644[/C][C]0.253289[/C][C]0.873356[/C][/ROW]
[ROW][C]117[/C][C]0.119391[/C][C]0.238783[/C][C]0.880609[/C][/ROW]
[ROW][C]118[/C][C]0.210935[/C][C]0.42187[/C][C]0.789065[/C][/ROW]
[ROW][C]119[/C][C]0.326342[/C][C]0.652685[/C][C]0.673658[/C][/ROW]
[ROW][C]120[/C][C]0.382759[/C][C]0.765518[/C][C]0.617241[/C][/ROW]
[ROW][C]121[/C][C]0.364087[/C][C]0.728174[/C][C]0.635913[/C][/ROW]
[ROW][C]122[/C][C]0.421043[/C][C]0.842087[/C][C]0.578957[/C][/ROW]
[ROW][C]123[/C][C]0.567362[/C][C]0.865276[/C][C]0.432638[/C][/ROW]
[ROW][C]124[/C][C]0.602091[/C][C]0.795818[/C][C]0.397909[/C][/ROW]
[ROW][C]125[/C][C]0.581169[/C][C]0.837663[/C][C]0.418831[/C][/ROW]
[ROW][C]126[/C][C]0.666339[/C][C]0.667322[/C][C]0.333661[/C][/ROW]
[ROW][C]127[/C][C]0.665815[/C][C]0.66837[/C][C]0.334185[/C][/ROW]
[ROW][C]128[/C][C]0.65469[/C][C]0.69062[/C][C]0.34531[/C][/ROW]
[ROW][C]129[/C][C]0.635219[/C][C]0.729561[/C][C]0.364781[/C][/ROW]
[ROW][C]130[/C][C]0.654332[/C][C]0.691337[/C][C]0.345668[/C][/ROW]
[ROW][C]131[/C][C]0.635724[/C][C]0.728552[/C][C]0.364276[/C][/ROW]
[ROW][C]132[/C][C]0.744463[/C][C]0.511074[/C][C]0.255537[/C][/ROW]
[ROW][C]133[/C][C]0.728111[/C][C]0.543778[/C][C]0.271889[/C][/ROW]
[ROW][C]134[/C][C]0.724943[/C][C]0.550115[/C][C]0.275057[/C][/ROW]
[ROW][C]135[/C][C]0.734984[/C][C]0.530032[/C][C]0.265016[/C][/ROW]
[ROW][C]136[/C][C]0.724074[/C][C]0.551852[/C][C]0.275926[/C][/ROW]
[ROW][C]137[/C][C]0.723033[/C][C]0.553933[/C][C]0.276967[/C][/ROW]
[ROW][C]138[/C][C]0.702672[/C][C]0.594656[/C][C]0.297328[/C][/ROW]
[ROW][C]139[/C][C]0.681814[/C][C]0.636373[/C][C]0.318186[/C][/ROW]
[ROW][C]140[/C][C]0.713531[/C][C]0.572937[/C][C]0.286469[/C][/ROW]
[ROW][C]141[/C][C]0.745918[/C][C]0.508164[/C][C]0.254082[/C][/ROW]
[ROW][C]142[/C][C]0.79664[/C][C]0.406721[/C][C]0.20336[/C][/ROW]
[ROW][C]143[/C][C]0.797037[/C][C]0.405927[/C][C]0.202963[/C][/ROW]
[ROW][C]144[/C][C]0.781096[/C][C]0.437809[/C][C]0.218904[/C][/ROW]
[ROW][C]145[/C][C]0.817582[/C][C]0.364836[/C][C]0.182418[/C][/ROW]
[ROW][C]146[/C][C]0.808706[/C][C]0.382588[/C][C]0.191294[/C][/ROW]
[ROW][C]147[/C][C]0.841386[/C][C]0.317228[/C][C]0.158614[/C][/ROW]
[ROW][C]148[/C][C]0.839858[/C][C]0.320284[/C][C]0.160142[/C][/ROW]
[ROW][C]149[/C][C]0.835852[/C][C]0.328297[/C][C]0.164148[/C][/ROW]
[ROW][C]150[/C][C]0.865794[/C][C]0.268413[/C][C]0.134206[/C][/ROW]
[ROW][C]151[/C][C]0.850099[/C][C]0.299803[/C][C]0.149901[/C][/ROW]
[ROW][C]152[/C][C]0.836673[/C][C]0.326655[/C][C]0.163327[/C][/ROW]
[ROW][C]153[/C][C]0.818479[/C][C]0.363042[/C][C]0.181521[/C][/ROW]
[ROW][C]154[/C][C]0.808312[/C][C]0.383376[/C][C]0.191688[/C][/ROW]
[ROW][C]155[/C][C]0.838086[/C][C]0.323828[/C][C]0.161914[/C][/ROW]
[ROW][C]156[/C][C]0.850027[/C][C]0.299947[/C][C]0.149973[/C][/ROW]
[ROW][C]157[/C][C]0.846125[/C][C]0.30775[/C][C]0.153875[/C][/ROW]
[ROW][C]158[/C][C]0.871987[/C][C]0.256026[/C][C]0.128013[/C][/ROW]
[ROW][C]159[/C][C]0.882538[/C][C]0.234925[/C][C]0.117462[/C][/ROW]
[ROW][C]160[/C][C]0.873659[/C][C]0.252682[/C][C]0.126341[/C][/ROW]
[ROW][C]161[/C][C]0.857559[/C][C]0.284882[/C][C]0.142441[/C][/ROW]
[ROW][C]162[/C][C]0.893561[/C][C]0.212878[/C][C]0.106439[/C][/ROW]
[ROW][C]163[/C][C]0.886693[/C][C]0.226614[/C][C]0.113307[/C][/ROW]
[ROW][C]164[/C][C]0.875895[/C][C]0.248211[/C][C]0.124105[/C][/ROW]
[ROW][C]165[/C][C]0.863765[/C][C]0.272471[/C][C]0.136235[/C][/ROW]
[ROW][C]166[/C][C]0.883485[/C][C]0.233029[/C][C]0.116515[/C][/ROW]
[ROW][C]167[/C][C]0.878371[/C][C]0.243258[/C][C]0.121629[/C][/ROW]
[ROW][C]168[/C][C]0.882254[/C][C]0.235492[/C][C]0.117746[/C][/ROW]
[ROW][C]169[/C][C]0.877122[/C][C]0.245756[/C][C]0.122878[/C][/ROW]
[ROW][C]170[/C][C]0.923352[/C][C]0.153295[/C][C]0.0766476[/C][/ROW]
[ROW][C]171[/C][C]0.918107[/C][C]0.163786[/C][C]0.081893[/C][/ROW]
[ROW][C]172[/C][C]0.929545[/C][C]0.14091[/C][C]0.0704551[/C][/ROW]
[ROW][C]173[/C][C]0.919779[/C][C]0.160443[/C][C]0.0802214[/C][/ROW]
[ROW][C]174[/C][C]0.909144[/C][C]0.181712[/C][C]0.0908561[/C][/ROW]
[ROW][C]175[/C][C]0.904476[/C][C]0.191048[/C][C]0.0955241[/C][/ROW]
[ROW][C]176[/C][C]0.897811[/C][C]0.204378[/C][C]0.102189[/C][/ROW]
[ROW][C]177[/C][C]0.911134[/C][C]0.177732[/C][C]0.0888662[/C][/ROW]
[ROW][C]178[/C][C]0.901155[/C][C]0.19769[/C][C]0.0988448[/C][/ROW]
[ROW][C]179[/C][C]0.888147[/C][C]0.223706[/C][C]0.111853[/C][/ROW]
[ROW][C]180[/C][C]0.874978[/C][C]0.250044[/C][C]0.125022[/C][/ROW]
[ROW][C]181[/C][C]0.891829[/C][C]0.216342[/C][C]0.108171[/C][/ROW]
[ROW][C]182[/C][C]0.87573[/C][C]0.248539[/C][C]0.12427[/C][/ROW]
[ROW][C]183[/C][C]0.912882[/C][C]0.174236[/C][C]0.0871182[/C][/ROW]
[ROW][C]184[/C][C]0.902604[/C][C]0.194793[/C][C]0.0973963[/C][/ROW]
[ROW][C]185[/C][C]0.928684[/C][C]0.142632[/C][C]0.0713162[/C][/ROW]
[ROW][C]186[/C][C]0.91661[/C][C]0.166779[/C][C]0.0833895[/C][/ROW]
[ROW][C]187[/C][C]0.902591[/C][C]0.194819[/C][C]0.0974093[/C][/ROW]
[ROW][C]188[/C][C]0.925632[/C][C]0.148736[/C][C]0.0743682[/C][/ROW]
[ROW][C]189[/C][C]0.915576[/C][C]0.168848[/C][C]0.084424[/C][/ROW]
[ROW][C]190[/C][C]0.901707[/C][C]0.196585[/C][C]0.0982927[/C][/ROW]
[ROW][C]191[/C][C]0.894507[/C][C]0.210986[/C][C]0.105493[/C][/ROW]
[ROW][C]192[/C][C]0.896275[/C][C]0.20745[/C][C]0.103725[/C][/ROW]
[ROW][C]193[/C][C]0.880131[/C][C]0.239738[/C][C]0.119869[/C][/ROW]
[ROW][C]194[/C][C]0.866826[/C][C]0.266347[/C][C]0.133174[/C][/ROW]
[ROW][C]195[/C][C]0.847052[/C][C]0.305895[/C][C]0.152948[/C][/ROW]
[ROW][C]196[/C][C]0.852785[/C][C]0.294429[/C][C]0.147215[/C][/ROW]
[ROW][C]197[/C][C]0.837125[/C][C]0.325751[/C][C]0.162875[/C][/ROW]
[ROW][C]198[/C][C]0.848509[/C][C]0.302983[/C][C]0.151491[/C][/ROW]
[ROW][C]199[/C][C]0.864905[/C][C]0.27019[/C][C]0.135095[/C][/ROW]
[ROW][C]200[/C][C]0.844605[/C][C]0.310789[/C][C]0.155395[/C][/ROW]
[ROW][C]201[/C][C]0.827824[/C][C]0.344352[/C][C]0.172176[/C][/ROW]
[ROW][C]202[/C][C]0.807684[/C][C]0.384632[/C][C]0.192316[/C][/ROW]
[ROW][C]203[/C][C]0.783561[/C][C]0.432878[/C][C]0.216439[/C][/ROW]
[ROW][C]204[/C][C]0.760328[/C][C]0.479343[/C][C]0.239672[/C][/ROW]
[ROW][C]205[/C][C]0.746008[/C][C]0.507984[/C][C]0.253992[/C][/ROW]
[ROW][C]206[/C][C]0.818683[/C][C]0.362634[/C][C]0.181317[/C][/ROW]
[ROW][C]207[/C][C]0.79346[/C][C]0.413081[/C][C]0.20654[/C][/ROW]
[ROW][C]208[/C][C]0.765709[/C][C]0.468582[/C][C]0.234291[/C][/ROW]
[ROW][C]209[/C][C]0.757619[/C][C]0.484762[/C][C]0.242381[/C][/ROW]
[ROW][C]210[/C][C]0.726666[/C][C]0.546667[/C][C]0.273334[/C][/ROW]
[ROW][C]211[/C][C]0.698573[/C][C]0.602853[/C][C]0.301427[/C][/ROW]
[ROW][C]212[/C][C]0.723351[/C][C]0.553299[/C][C]0.276649[/C][/ROW]
[ROW][C]213[/C][C]0.695252[/C][C]0.609495[/C][C]0.304748[/C][/ROW]
[ROW][C]214[/C][C]0.680326[/C][C]0.639349[/C][C]0.319674[/C][/ROW]
[ROW][C]215[/C][C]0.718987[/C][C]0.562026[/C][C]0.281013[/C][/ROW]
[ROW][C]216[/C][C]0.714219[/C][C]0.571562[/C][C]0.285781[/C][/ROW]
[ROW][C]217[/C][C]0.704755[/C][C]0.59049[/C][C]0.295245[/C][/ROW]
[ROW][C]218[/C][C]0.672082[/C][C]0.655836[/C][C]0.327918[/C][/ROW]
[ROW][C]219[/C][C]0.647117[/C][C]0.705767[/C][C]0.352883[/C][/ROW]
[ROW][C]220[/C][C]0.61134[/C][C]0.777319[/C][C]0.38866[/C][/ROW]
[ROW][C]221[/C][C]0.585081[/C][C]0.829838[/C][C]0.414919[/C][/ROW]
[ROW][C]222[/C][C]0.553052[/C][C]0.893897[/C][C]0.446948[/C][/ROW]
[ROW][C]223[/C][C]0.534473[/C][C]0.931054[/C][C]0.465527[/C][/ROW]
[ROW][C]224[/C][C]0.498551[/C][C]0.997103[/C][C]0.501449[/C][/ROW]
[ROW][C]225[/C][C]0.520812[/C][C]0.958376[/C][C]0.479188[/C][/ROW]
[ROW][C]226[/C][C]0.513256[/C][C]0.973489[/C][C]0.486744[/C][/ROW]
[ROW][C]227[/C][C]0.499797[/C][C]0.999594[/C][C]0.500203[/C][/ROW]
[ROW][C]228[/C][C]0.527192[/C][C]0.945617[/C][C]0.472808[/C][/ROW]
[ROW][C]229[/C][C]0.595605[/C][C]0.808791[/C][C]0.404395[/C][/ROW]
[ROW][C]230[/C][C]0.561227[/C][C]0.877546[/C][C]0.438773[/C][/ROW]
[ROW][C]231[/C][C]0.542815[/C][C]0.91437[/C][C]0.457185[/C][/ROW]
[ROW][C]232[/C][C]0.633427[/C][C]0.733145[/C][C]0.366573[/C][/ROW]
[ROW][C]233[/C][C]0.601666[/C][C]0.796669[/C][C]0.398334[/C][/ROW]
[ROW][C]234[/C][C]0.592184[/C][C]0.815632[/C][C]0.407816[/C][/ROW]
[ROW][C]235[/C][C]0.568202[/C][C]0.863596[/C][C]0.431798[/C][/ROW]
[ROW][C]236[/C][C]0.596389[/C][C]0.807223[/C][C]0.403611[/C][/ROW]
[ROW][C]237[/C][C]0.674159[/C][C]0.651681[/C][C]0.325841[/C][/ROW]
[ROW][C]238[/C][C]0.744167[/C][C]0.511666[/C][C]0.255833[/C][/ROW]
[ROW][C]239[/C][C]0.786864[/C][C]0.426271[/C][C]0.213136[/C][/ROW]
[ROW][C]240[/C][C]0.750972[/C][C]0.498056[/C][C]0.249028[/C][/ROW]
[ROW][C]241[/C][C]0.710737[/C][C]0.578527[/C][C]0.289263[/C][/ROW]
[ROW][C]242[/C][C]0.693978[/C][C]0.612044[/C][C]0.306022[/C][/ROW]
[ROW][C]243[/C][C]0.889513[/C][C]0.220975[/C][C]0.110487[/C][/ROW]
[ROW][C]244[/C][C]0.870181[/C][C]0.259637[/C][C]0.129819[/C][/ROW]
[ROW][C]245[/C][C]0.841392[/C][C]0.317215[/C][C]0.158608[/C][/ROW]
[ROW][C]246[/C][C]0.809222[/C][C]0.381556[/C][C]0.190778[/C][/ROW]
[ROW][C]247[/C][C]0.788636[/C][C]0.422728[/C][C]0.211364[/C][/ROW]
[ROW][C]248[/C][C]0.751124[/C][C]0.497752[/C][C]0.248876[/C][/ROW]
[ROW][C]249[/C][C]0.7322[/C][C]0.5356[/C][C]0.2678[/C][/ROW]
[ROW][C]250[/C][C]0.691099[/C][C]0.617801[/C][C]0.308901[/C][/ROW]
[ROW][C]251[/C][C]0.836899[/C][C]0.326203[/C][C]0.163101[/C][/ROW]
[ROW][C]252[/C][C]0.866848[/C][C]0.266305[/C][C]0.133152[/C][/ROW]
[ROW][C]253[/C][C]0.846751[/C][C]0.306498[/C][C]0.153249[/C][/ROW]
[ROW][C]254[/C][C]0.814891[/C][C]0.370217[/C][C]0.185109[/C][/ROW]
[ROW][C]255[/C][C]0.854689[/C][C]0.290623[/C][C]0.145311[/C][/ROW]
[ROW][C]256[/C][C]0.81776[/C][C]0.36448[/C][C]0.18224[/C][/ROW]
[ROW][C]257[/C][C]0.794295[/C][C]0.411411[/C][C]0.205705[/C][/ROW]
[ROW][C]258[/C][C]0.74798[/C][C]0.504041[/C][C]0.25202[/C][/ROW]
[ROW][C]259[/C][C]0.701383[/C][C]0.597234[/C][C]0.298617[/C][/ROW]
[ROW][C]260[/C][C]0.647082[/C][C]0.705835[/C][C]0.352918[/C][/ROW]
[ROW][C]261[/C][C]0.605908[/C][C]0.788184[/C][C]0.394092[/C][/ROW]
[ROW][C]262[/C][C]0.773678[/C][C]0.452644[/C][C]0.226322[/C][/ROW]
[ROW][C]263[/C][C]0.768563[/C][C]0.462874[/C][C]0.231437[/C][/ROW]
[ROW][C]264[/C][C]0.756836[/C][C]0.486329[/C][C]0.243164[/C][/ROW]
[ROW][C]265[/C][C]0.74471[/C][C]0.51058[/C][C]0.25529[/C][/ROW]
[ROW][C]266[/C][C]0.923975[/C][C]0.152049[/C][C]0.0760247[/C][/ROW]
[ROW][C]267[/C][C]0.897367[/C][C]0.205265[/C][C]0.102633[/C][/ROW]
[ROW][C]268[/C][C]0.939647[/C][C]0.120707[/C][C]0.0603534[/C][/ROW]
[ROW][C]269[/C][C]0.9214[/C][C]0.1572[/C][C]0.0786[/C][/ROW]
[ROW][C]270[/C][C]0.900575[/C][C]0.19885[/C][C]0.0994252[/C][/ROW]
[ROW][C]271[/C][C]0.863138[/C][C]0.273725[/C][C]0.136862[/C][/ROW]
[ROW][C]272[/C][C]0.811273[/C][C]0.377453[/C][C]0.188727[/C][/ROW]
[ROW][C]273[/C][C]0.77942[/C][C]0.441161[/C][C]0.22058[/C][/ROW]
[ROW][C]274[/C][C]0.697054[/C][C]0.605892[/C][C]0.302946[/C][/ROW]
[ROW][C]275[/C][C]0.591733[/C][C]0.816534[/C][C]0.408267[/C][/ROW]
[ROW][C]276[/C][C]0.500711[/C][C]0.998577[/C][C]0.499289[/C][/ROW]
[ROW][C]277[/C][C]0.397087[/C][C]0.794174[/C][C]0.602913[/C][/ROW]
[ROW][C]278[/C][C]0.602083[/C][C]0.795833[/C][C]0.397917[/C][/ROW]
[ROW][C]279[/C][C]0.43353[/C][C]0.86706[/C][C]0.56647[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266326&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266326&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
70.5457350.9085290.454265
80.4172150.8344310.582785
90.2923370.5846730.707663
100.1859730.3719450.814027
110.3581430.7162860.641857
120.2800750.560150.719925
130.3838160.7676310.616184
140.3021740.6043480.697826
150.2755270.5510550.724473
160.2669820.5339630.733018
170.2045760.4091530.795424
180.1545450.3090890.845455
190.1209210.2418420.879079
200.08791870.1758370.912081
210.0698070.1396140.930193
220.0702880.1405760.929712
230.0808350.161670.919165
240.0575210.1150420.942479
250.06255610.1251120.937444
260.06239530.1247910.937605
270.04447740.08895470.955523
280.04551390.09102780.954486
290.03848850.07697690.961512
300.02799150.05598290.972009
310.02334420.04668840.976656
320.01806940.03613870.981931
330.01299510.02599010.987005
340.01113820.02227630.988862
350.009433330.01886670.990567
360.02722910.05445820.972771
370.02043980.04087950.97956
380.0149070.0298140.985093
390.01085460.02170920.989145
400.009229720.01845940.99077
410.007701870.01540370.992298
420.005993090.01198620.994007
430.01529360.03058720.984706
440.01120350.02240690.988797
450.009546410.01909280.990454
460.007908530.01581710.992091
470.005543470.01108690.994457
480.003958620.007917240.996041
490.00335160.006703210.996648
500.003513810.007027620.996486
510.00322260.00644520.996777
520.003076820.006153640.996923
530.002522860.005045720.997477
540.004151030.008302070.995849
550.002982330.005964660.997018
560.002448560.004897130.997551
570.002208030.004416070.997792
580.001654260.003308520.998346
590.002549960.005099920.99745
600.002588230.005176470.997412
610.003134020.006268050.996866
620.00306580.006131590.996934
630.002535080.005070150.997465
640.002190330.004380660.99781
650.002306140.004612290.997694
660.004554860.009109720.995445
670.004389220.008778440.995611
680.004217890.008435790.995782
690.003187660.006375320.996812
700.002897890.005795770.997102
710.003439480.006878950.996561
720.002625780.005251560.997374
730.001928450.003856890.998072
740.001459550.002919090.99854
750.001301470.002602940.998699
760.001646420.003292840.998354
770.002355120.004710240.997645
780.001963380.003926760.998037
790.001685010.003370020.998315
800.001325520.002651040.998674
810.001324640.002649280.998675
820.00106770.002135390.998932
830.001249410.002498810.998751
840.000949520.001899040.99905
850.0007616790.001523360.999238
860.0006000480.00120010.9994
870.003866510.007733020.996133
880.003267520.006535050.996732
890.002635390.005270770.997365
900.002078920.004157850.997921
910.001704390.003408770.998296
920.001625680.003251360.998374
930.00137480.002749610.998625
940.001180820.002361630.998819
950.002911150.005822310.997089
960.002511420.005022840.997489
970.0024230.0048460.997577
980.002886010.005772030.997114
990.002774340.005548670.997226
1000.00428980.008579590.99571
1010.003571090.007142180.996429
1020.003806620.007613230.996193
1030.004749260.009498520.995251
1040.003992620.007985240.996007
1050.003622370.007244750.996378
1060.005625080.01125020.994375
1070.005276770.01055350.994723
1080.005875410.01175080.994125
1090.00629020.01258040.99371
1100.005551680.01110340.994448
1110.02063830.04127650.979362
1120.04244690.08489370.957553
1130.04197970.08395940.95802
1140.03844970.07689930.96155
1150.03476330.06952660.965237
1160.1266440.2532890.873356
1170.1193910.2387830.880609
1180.2109350.421870.789065
1190.3263420.6526850.673658
1200.3827590.7655180.617241
1210.3640870.7281740.635913
1220.4210430.8420870.578957
1230.5673620.8652760.432638
1240.6020910.7958180.397909
1250.5811690.8376630.418831
1260.6663390.6673220.333661
1270.6658150.668370.334185
1280.654690.690620.34531
1290.6352190.7295610.364781
1300.6543320.6913370.345668
1310.6357240.7285520.364276
1320.7444630.5110740.255537
1330.7281110.5437780.271889
1340.7249430.5501150.275057
1350.7349840.5300320.265016
1360.7240740.5518520.275926
1370.7230330.5539330.276967
1380.7026720.5946560.297328
1390.6818140.6363730.318186
1400.7135310.5729370.286469
1410.7459180.5081640.254082
1420.796640.4067210.20336
1430.7970370.4059270.202963
1440.7810960.4378090.218904
1450.8175820.3648360.182418
1460.8087060.3825880.191294
1470.8413860.3172280.158614
1480.8398580.3202840.160142
1490.8358520.3282970.164148
1500.8657940.2684130.134206
1510.8500990.2998030.149901
1520.8366730.3266550.163327
1530.8184790.3630420.181521
1540.8083120.3833760.191688
1550.8380860.3238280.161914
1560.8500270.2999470.149973
1570.8461250.307750.153875
1580.8719870.2560260.128013
1590.8825380.2349250.117462
1600.8736590.2526820.126341
1610.8575590.2848820.142441
1620.8935610.2128780.106439
1630.8866930.2266140.113307
1640.8758950.2482110.124105
1650.8637650.2724710.136235
1660.8834850.2330290.116515
1670.8783710.2432580.121629
1680.8822540.2354920.117746
1690.8771220.2457560.122878
1700.9233520.1532950.0766476
1710.9181070.1637860.081893
1720.9295450.140910.0704551
1730.9197790.1604430.0802214
1740.9091440.1817120.0908561
1750.9044760.1910480.0955241
1760.8978110.2043780.102189
1770.9111340.1777320.0888662
1780.9011550.197690.0988448
1790.8881470.2237060.111853
1800.8749780.2500440.125022
1810.8918290.2163420.108171
1820.875730.2485390.12427
1830.9128820.1742360.0871182
1840.9026040.1947930.0973963
1850.9286840.1426320.0713162
1860.916610.1667790.0833895
1870.9025910.1948190.0974093
1880.9256320.1487360.0743682
1890.9155760.1688480.084424
1900.9017070.1965850.0982927
1910.8945070.2109860.105493
1920.8962750.207450.103725
1930.8801310.2397380.119869
1940.8668260.2663470.133174
1950.8470520.3058950.152948
1960.8527850.2944290.147215
1970.8371250.3257510.162875
1980.8485090.3029830.151491
1990.8649050.270190.135095
2000.8446050.3107890.155395
2010.8278240.3443520.172176
2020.8076840.3846320.192316
2030.7835610.4328780.216439
2040.7603280.4793430.239672
2050.7460080.5079840.253992
2060.8186830.3626340.181317
2070.793460.4130810.20654
2080.7657090.4685820.234291
2090.7576190.4847620.242381
2100.7266660.5466670.273334
2110.6985730.6028530.301427
2120.7233510.5532990.276649
2130.6952520.6094950.304748
2140.6803260.6393490.319674
2150.7189870.5620260.281013
2160.7142190.5715620.285781
2170.7047550.590490.295245
2180.6720820.6558360.327918
2190.6471170.7057670.352883
2200.611340.7773190.38866
2210.5850810.8298380.414919
2220.5530520.8938970.446948
2230.5344730.9310540.465527
2240.4985510.9971030.501449
2250.5208120.9583760.479188
2260.5132560.9734890.486744
2270.4997970.9995940.500203
2280.5271920.9456170.472808
2290.5956050.8087910.404395
2300.5612270.8775460.438773
2310.5428150.914370.457185
2320.6334270.7331450.366573
2330.6016660.7966690.398334
2340.5921840.8156320.407816
2350.5682020.8635960.431798
2360.5963890.8072230.403611
2370.6741590.6516810.325841
2380.7441670.5116660.255833
2390.7868640.4262710.213136
2400.7509720.4980560.249028
2410.7107370.5785270.289263
2420.6939780.6120440.306022
2430.8895130.2209750.110487
2440.8701810.2596370.129819
2450.8413920.3172150.158608
2460.8092220.3815560.190778
2470.7886360.4227280.211364
2480.7511240.4977520.248876
2490.73220.53560.2678
2500.6910990.6178010.308901
2510.8368990.3262030.163101
2520.8668480.2663050.133152
2530.8467510.3064980.153249
2540.8148910.3702170.185109
2550.8546890.2906230.145311
2560.817760.364480.18224
2570.7942950.4114110.205705
2580.747980.5040410.25202
2590.7013830.5972340.298617
2600.6470820.7058350.352918
2610.6059080.7881840.394092
2620.7736780.4526440.226322
2630.7685630.4628740.231437
2640.7568360.4863290.243164
2650.744710.510580.25529
2660.9239750.1520490.0760247
2670.8973670.2052650.102633
2680.9396470.1207070.0603534
2690.92140.15720.0786
2700.9005750.198850.0994252
2710.8631380.2737250.136862
2720.8112730.3774530.188727
2730.779420.4411610.22058
2740.6970540.6058920.302946
2750.5917330.8165340.408267
2760.5007110.9985770.499289
2770.3970870.7941740.602913
2780.6020830.7958330.397917
2790.433530.867060.56647






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level580.212454NOK
5% type I error level800.29304NOK
10% type I error level890.326007NOK

\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 & 58 & 0.212454 & NOK \tabularnewline
5% type I error level & 80 & 0.29304 & NOK \tabularnewline
10% type I error level & 89 & 0.326007 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266326&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]58[/C][C]0.212454[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]80[/C][C]0.29304[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]89[/C][C]0.326007[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266326&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266326&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 level580.212454NOK
5% type I error level800.29304NOK
10% type I error level890.326007NOK


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