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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationSun, 14 Dec 2014 13:51:01 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/14/t1418565120eaea0r71e5jwxo8.htm/, Retrieved Thu, 16 May 2024 05:54:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=267576, Retrieved Thu, 16 May 2024 05:54:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact91

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [CONF mult linear ...] [2014-12-14 13:51:01] [e719845b3f21bd57beb5defeff8ed9b5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
13	12	7,5
8	8	6
14	11	6,5
16	13	1
14	11	1
13	10	5,5
15	7	8,5
13	10	6,5
20	15	4,5
17	12	2
15	12	5
16	10	0,5
12	10	5
17	14	5
11	6	2,5
16	12	5
16	14	5,5
15	11	3,5
13	8	3
14	12	4
19	15	0,5
16	13	6,5
17	11	4,5
10	12	7,5
15	7	5,5
14	11	4
14	7	7,5
16	12	7
15	12	4
17	13	5,5
14	9	2,5
16	11	5,5
15	12	3,5
16	15	2,5
16	12	4,5
10	6	4,5
8	5	4,5
17	13	6
14	11	2,5
10	6	5
14	12	0
12	10	5
16	6	6,5
16	12	5
16	11	6
8	6	4,5
16	12	5,5
15	12	1
8	8	7,5
13	10	6
14	11	5
13	7	1
16	12	5
19	13	6,5
19	14	7
14	12	4,5
15	6	0
13	14	8,5
10	10	3,5
16	12	7,5
15	11	3,5
11	10	6
9	7	1,5
16	12	9
12	7	3,5
12	12	3,5
14	12	4
14	10	6,5
13	10	7,5
15	12	6
17	12	5
14	12	5,5
11	8	3,5
9	10	7,5
7	5	6,5
15	10	6,5
12	12	6,5
15	11	7
14	9	3,5
16	12	1,5
14	11	4
13	10	7,5
16	12	4,5
13	10	0
16	9	3,5
16	11	5,5
16	12	5
10	7	4,5
12	11	2,5
12	12	7,5
12	6	7
12	9	0
19	15	4,5
14	10	3
13	11	1,5
16	12	3,5
15	12	2,5
12	12	5,5
8	11	8
10	9	1
16	11	5
16	12	4,5
10	12	3
18	14	3
12	8	8
16	10	2,5
10	9	7
14	10	0
12	9	1
11	10	3,5
15	12	5,5
7	11	5,5
16	9	0,5
16	11	7,5
16	12	9
16	12	9,5
12	7	8,5
15	12	7
14	12	8
15	12	10
16	10	7
13	15	8,5
10	10	9
17	15	9,5
15	10	4
18	15	6
16	9	8
20	15	5,5
16	12	9,5
17	13	7,5
16	12	7
15	12	7,5
13	8	8
16	9	7
16	15	7
16	12	6
17	12	10
20	15	2,5
14	11	9
17	12	8
6	6	6
16	14	8,5
15	12	6
16	12	9
16	12	8
14	11	9
16	12	5,5
16	12	7
16	12	5,5
14	12	9
14	8	2
16	8	8,5
16	12	9
15	12	8,5
16	11	9
16	10	7,5
18	11	10
15	12	9
16	13	7,5
16	12	6
16	12	10,5
17	10	8,5
14	10	8
18	11	10
9	8	10,5
15	12	6,5
14	9	9,5
15	12	8,5
13	9	7,5
16	11	5
20	15	8
14	8	10
12	8	7
15	11	7,5
15	11	7,5
15	11	9,5
16	13	6
11	7	10
16	12	7
7	8	3
11	8	6
9	4	7
15	11	10
16	10	7
14	7	3,5
15	12	8
13	11	10
13	9	5,5
12	10	6
16	8	6,5
14	8	6,5
16	11	8,5
14	12	4
15	10	9,5
10	10	8
16	12	8,5
14	8	5,5
16	11	7
12	8	9
16	10	8
16	14	10
15	9	8
14	9	6
16	10	8
11	13	5
15	12	9
18	13	4,5
13	8	8,5
7	3	9,5
7	8	8,5
17	12	7,5
18	11	7,5
15	9	5
8	12	7
13	12	8
13	12	5,5
15	10	8,5
18	13	9,5
16	9	7
14	12	8
15	11	8,5
19	14	3,5
16	11	6,5
12	9	6,5
16	12	10,5
11	8	8,5
16	15	8
15	12	10
19	14	10
15	12	9,5
14	9	9
14	9	10
17	13	7,5
16	13	4,5
20	15	4,5
16	11	0,5
9	7	6,5
13	10	4,5
15	11	5,5
19	14	5
16	14	6
17	13	4
16	12	8
9	8	10,5
11	13	6,5
14	9	8
19	12	8,5
13	13	5,5
14	11	7
15	11	5
15	13	3,5
14	12	5
16	12	9
17	10	8,5
12	9	5
15	10	9,5
17	13	3
15	13	1,5
10	9	6
16	11	0,5
15	12	6,5
11	8	7,5
16	12	4,5
16	12	8
16	12	9
14	9	7,5
14	12	8,5
16	12	7
16	11	9,5
18	12	6,5
14	6	9,5
20	7	6
15	10	8
16	12	9,5
16	10	8
16	12	8
12	9	9
8	3	5

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 8 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267576&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]8 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267576&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267576&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'George Udny Yule' @ yule.wessa.net






Multiple Linear Regression - Estimated Regression Equation
EX[t] = + 5.7756 + 0.0436894CONFSTATTOT[t] -0.0205396CONFSOFTTOP[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
EX[t] =  +  5.7756 +  0.0436894CONFSTATTOT[t] -0.0205396CONFSOFTTOP[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267576&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]EX[t] =  +  5.7756 +  0.0436894CONFSTATTOT[t] -0.0205396CONFSOFTTOP[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267576&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267576&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] = + 5.7756 + 0.0436894CONFSTATTOT[t] -0.0205396CONFSOFTTOP[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)5.77560.8616296.7031.15309e-105.76545e-11
CONFSTATTOT0.04368940.07155460.61060.5419860.270993
CONFSOFTTOP-0.02053960.0856337-0.23990.8106220.405311

\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) & 5.7756 & 0.861629 & 6.703 & 1.15309e-10 & 5.76545e-11 \tabularnewline
CONFSTATTOT & 0.0436894 & 0.0715546 & 0.6106 & 0.541986 & 0.270993 \tabularnewline
CONFSOFTTOP & -0.0205396 & 0.0856337 & -0.2399 & 0.810622 & 0.405311 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267576&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]5.7756[/C][C]0.861629[/C][C]6.703[/C][C]1.15309e-10[/C][C]5.76545e-11[/C][/ROW]
[ROW][C]CONFSTATTOT[/C][C]0.0436894[/C][C]0.0715546[/C][C]0.6106[/C][C]0.541986[/C][C]0.270993[/C][/ROW]
[ROW][C]CONFSOFTTOP[/C][C]-0.0205396[/C][C]0.0856337[/C][C]-0.2399[/C][C]0.810622[/C][C]0.405311[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267576&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267576&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)5.77560.8616296.7031.15309e-105.76545e-11
CONFSTATTOT0.04368940.07155460.61060.5419860.270993
CONFSOFTTOP-0.02053960.0856337-0.23990.8106220.405311






Multiple Linear Regression - Regression Statistics
Multiple R0.0384099
R-squared0.00147532
Adjusted R-squared-0.00578667
F-TEST (value)0.203157
F-TEST (DF numerator)2
F-TEST (DF denominator)275
p-value0.816273
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.54095
Sum Squared Residuals1775.52

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.0384099 \tabularnewline
R-squared & 0.00147532 \tabularnewline
Adjusted R-squared & -0.00578667 \tabularnewline
F-TEST (value) & 0.203157 \tabularnewline
F-TEST (DF numerator) & 2 \tabularnewline
F-TEST (DF denominator) & 275 \tabularnewline
p-value & 0.816273 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.54095 \tabularnewline
Sum Squared Residuals & 1775.52 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267576&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.0384099[/C][/ROW]
[ROW][C]R-squared[/C][C]0.00147532[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]-0.00578667[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]0.203157[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]2[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]275[/C][/ROW]
[ROW][C]p-value[/C][C]0.816273[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.54095[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1775.52[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267576&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267576&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 R0.0384099
R-squared0.00147532
Adjusted R-squared-0.00578667
F-TEST (value)0.203157
F-TEST (DF numerator)2
F-TEST (DF denominator)275
p-value0.816273
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.54095
Sum Squared Residuals1775.52






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
17.56.097091.40291
265.96080.0391996
36.56.161320.338682
416.20762-5.20762
516.16132-5.16132
65.56.13817-0.638168
78.56.287172.21283
86.56.138170.361832
94.56.3413-1.8413
1026.27185-4.27185
1156.18447-1.18447
120.56.26924-5.76924
1356.09448-1.09448
1456.23077-1.23077
152.56.13295-3.63295
1656.22816-1.22816
175.56.18708-0.687078
183.56.20501-2.70501
1936.17925-3.17925
2046.14078-2.14078
210.56.29761-5.79761
226.56.207620.292383
234.56.29239-1.79239
247.55.966021.53398
255.56.28717-0.787166
2646.16132-2.16132
277.56.243481.25652
2876.228160.771843
2946.18447-2.18447
305.56.25131-0.751307
312.56.2024-3.7024
325.56.2487-0.748697
333.56.18447-2.68447
342.56.16654-3.66654
354.56.22816-1.72816
364.56.08926-1.58926
374.56.02242-1.52242
3866.25131-0.251307
392.56.16132-3.66132
4056.08926-1.08926
4106.14078-6.14078
4256.09448-1.09448
436.56.351390.148605
4456.22816-1.22816
4566.2487-0.248697
464.56.00188-1.50188
475.56.22816-0.728157
4816.18447-5.18447
497.55.96081.5392
5066.13817-0.138168
5156.16132-1.16132
5216.19979-5.19979
5356.22816-1.22816
546.56.338690.161314
5576.318150.681854
564.56.14078-1.64078
5706.30771-6.30771
588.56.056012.44399
593.56.0071-2.5071
607.56.228161.27184
613.56.20501-2.70501
6266.05079-0.0507894
631.56.02503-4.52503
6496.228162.77184
653.56.1561-2.6561
663.56.0534-2.5534
6746.14078-2.14078
686.56.181860.318142
697.56.138171.36183
7066.18447-0.184468
7156.27185-1.27185
725.56.14078-0.640778
733.56.09187-2.59187
747.55.963411.53659
756.55.978730.52127
766.56.225550.274453
776.56.05340.446601
7876.205010.794993
793.56.2024-2.7024
801.56.22816-4.72816
8146.16132-2.16132
827.56.138171.36183
834.56.22816-1.72816
8406.13817-6.13817
853.56.28978-2.78978
865.56.2487-0.748697
8756.22816-1.22816
884.56.06872-1.56872
892.56.07394-3.57394
907.56.05341.4466
9176.176640.823363
9206.11502-6.11502
934.56.29761-1.79761
9436.18186-3.18186
951.56.11763-4.61763
963.56.22816-2.72816
972.56.18447-3.68447
985.56.0534-0.553399
9985.899182.10082
10016.02764-5.02764
10156.2487-1.2487
1024.56.22816-1.72816
10335.96602-2.96602
10436.27446-3.27446
10586.135561.86444
1062.56.26924-3.76924
10776.027640.97236
10806.18186-6.18186
10916.11502-5.11502
1103.56.05079-2.55079
1115.56.18447-0.684468
1125.55.85549-0.355492
1130.56.28978-5.78978
1147.56.24871.2513
11596.228162.77184
1169.56.228163.27184
1178.56.15612.3439
11876.184470.815532
11986.140781.85922
120106.184473.81553
12176.269240.730764
1228.56.035472.46453
12396.00712.9929
1249.56.210233.28977
12546.22555-2.22555
12666.25392-0.253917
12786.289781.71022
1285.56.3413-0.841296
1299.56.228163.27184
1307.56.251311.24869
13176.228160.771843
1327.56.184471.31553
13386.179251.82075
13476.289780.710224
13576.166540.833462
13666.22816-0.228157
137106.271853.72815
1382.56.3413-3.8413
13996.161322.83868
14086.271851.72815
14165.91450.0854991
1428.56.187082.31292
14366.18447-0.184468
14496.228162.77184
14586.228161.77184
14696.161322.83868
1475.56.22816-0.728157
14876.228160.771843
1495.56.22816-0.728157
15096.140782.85922
15126.22294-4.22294
1528.56.310322.18968
15396.228162.77184
1548.56.184472.31553
15596.24872.7513
1567.56.269241.23076
157106.336083.66392
15896.184472.81553
1597.56.207621.29238
16066.22816-0.228157
16110.56.228164.27184
1628.56.312932.18707
16386.181861.81814
164106.336083.66392
16510.56.004494.49551
1666.56.184470.315532
1679.56.20243.2976
1688.56.184472.31553
1697.56.158711.34129
17056.2487-1.2487
17186.34131.6587
172106.222943.77706
17376.135560.864442
1747.56.205011.29499
1757.56.205011.29499
1769.56.205013.29499
17766.20762-0.207617
178106.112413.88759
17976.228160.771843
18035.91711-2.91711
18166.09187-0.0918686
18276.086650.913352
183106.205013.79499
18476.269240.730764
1853.56.24348-2.74348
18686.184471.81553
187106.117633.88237
1885.56.15871-0.658708
18966.09448-0.0944788
1906.56.310320.189684
1916.56.222940.277063
1928.56.24872.2513
19346.14078-2.14078
1949.56.225553.27445
19586.00711.9929
1968.56.228162.27184
1975.56.22294-0.722937
19876.24870.751303
19996.135562.86444
20086.269241.73076
201106.187083.81292
20286.246091.75391
20366.2024-0.202397
20486.269241.73076
20555.98917-0.98917
20696.184472.81553
2074.56.295-1.795
2088.56.179252.32075
2099.56.019813.48019
2108.55.917112.58289
2117.56.271851.22815
2127.56.336081.16392
21356.24609-1.24609
21475.878641.12136
21586.097091.90291
2165.56.09709-0.597089
2178.56.225552.27445
2189.56.2953.205
21976.289780.710224
22086.140781.85922
2218.56.205012.29499
2223.56.31815-2.81815
2236.56.24870.251303
2246.56.115020.384982
22510.56.228164.27184
2268.56.091872.40813
22786.166541.83346
228106.184473.81553
229106.318153.68185
2309.56.184473.31553
23196.20242.7976
232106.20243.7976
2337.56.251311.24869
2344.56.20762-1.70762
2354.56.3413-1.8413
2360.56.2487-5.7487
2376.56.025030.474971
2384.56.13817-1.63817
2395.56.20501-0.705007
24056.31815-1.31815
24166.18708-0.187078
24246.25131-2.25131
24386.228161.77184
24410.56.004494.49551
2456.55.989170.51083
24686.20241.7976
2478.56.359232.14077
2485.56.07655-0.576549
24976.161320.838682
25056.20501-1.20501
2513.56.16393-2.66393
25256.14078-1.14078
25396.228162.77184
2548.56.312932.18707
25556.11502-1.11502
2569.56.225553.27445
25736.25131-3.25131
2581.56.16393-4.66393
25966.02764-0.0276396
2600.56.2487-5.7487
2616.56.184470.315532
2627.56.091871.40813
2634.56.22816-1.72816
26486.228161.77184
26596.228162.77184
2667.56.20241.2976
2678.56.140782.35922
26876.228160.771843
2699.56.24873.2513
2706.56.315540.184464
2719.56.264023.23598
27266.50561-0.505613
27386.225551.77445
2749.56.228163.27184
27586.269241.73076
27686.228161.77184
27796.115022.88498
27856.0635-1.0635

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 7.5 & 6.09709 & 1.40291 \tabularnewline
2 & 6 & 5.9608 & 0.0391996 \tabularnewline
3 & 6.5 & 6.16132 & 0.338682 \tabularnewline
4 & 1 & 6.20762 & -5.20762 \tabularnewline
5 & 1 & 6.16132 & -5.16132 \tabularnewline
6 & 5.5 & 6.13817 & -0.638168 \tabularnewline
7 & 8.5 & 6.28717 & 2.21283 \tabularnewline
8 & 6.5 & 6.13817 & 0.361832 \tabularnewline
9 & 4.5 & 6.3413 & -1.8413 \tabularnewline
10 & 2 & 6.27185 & -4.27185 \tabularnewline
11 & 5 & 6.18447 & -1.18447 \tabularnewline
12 & 0.5 & 6.26924 & -5.76924 \tabularnewline
13 & 5 & 6.09448 & -1.09448 \tabularnewline
14 & 5 & 6.23077 & -1.23077 \tabularnewline
15 & 2.5 & 6.13295 & -3.63295 \tabularnewline
16 & 5 & 6.22816 & -1.22816 \tabularnewline
17 & 5.5 & 6.18708 & -0.687078 \tabularnewline
18 & 3.5 & 6.20501 & -2.70501 \tabularnewline
19 & 3 & 6.17925 & -3.17925 \tabularnewline
20 & 4 & 6.14078 & -2.14078 \tabularnewline
21 & 0.5 & 6.29761 & -5.79761 \tabularnewline
22 & 6.5 & 6.20762 & 0.292383 \tabularnewline
23 & 4.5 & 6.29239 & -1.79239 \tabularnewline
24 & 7.5 & 5.96602 & 1.53398 \tabularnewline
25 & 5.5 & 6.28717 & -0.787166 \tabularnewline
26 & 4 & 6.16132 & -2.16132 \tabularnewline
27 & 7.5 & 6.24348 & 1.25652 \tabularnewline
28 & 7 & 6.22816 & 0.771843 \tabularnewline
29 & 4 & 6.18447 & -2.18447 \tabularnewline
30 & 5.5 & 6.25131 & -0.751307 \tabularnewline
31 & 2.5 & 6.2024 & -3.7024 \tabularnewline
32 & 5.5 & 6.2487 & -0.748697 \tabularnewline
33 & 3.5 & 6.18447 & -2.68447 \tabularnewline
34 & 2.5 & 6.16654 & -3.66654 \tabularnewline
35 & 4.5 & 6.22816 & -1.72816 \tabularnewline
36 & 4.5 & 6.08926 & -1.58926 \tabularnewline
37 & 4.5 & 6.02242 & -1.52242 \tabularnewline
38 & 6 & 6.25131 & -0.251307 \tabularnewline
39 & 2.5 & 6.16132 & -3.66132 \tabularnewline
40 & 5 & 6.08926 & -1.08926 \tabularnewline
41 & 0 & 6.14078 & -6.14078 \tabularnewline
42 & 5 & 6.09448 & -1.09448 \tabularnewline
43 & 6.5 & 6.35139 & 0.148605 \tabularnewline
44 & 5 & 6.22816 & -1.22816 \tabularnewline
45 & 6 & 6.2487 & -0.248697 \tabularnewline
46 & 4.5 & 6.00188 & -1.50188 \tabularnewline
47 & 5.5 & 6.22816 & -0.728157 \tabularnewline
48 & 1 & 6.18447 & -5.18447 \tabularnewline
49 & 7.5 & 5.9608 & 1.5392 \tabularnewline
50 & 6 & 6.13817 & -0.138168 \tabularnewline
51 & 5 & 6.16132 & -1.16132 \tabularnewline
52 & 1 & 6.19979 & -5.19979 \tabularnewline
53 & 5 & 6.22816 & -1.22816 \tabularnewline
54 & 6.5 & 6.33869 & 0.161314 \tabularnewline
55 & 7 & 6.31815 & 0.681854 \tabularnewline
56 & 4.5 & 6.14078 & -1.64078 \tabularnewline
57 & 0 & 6.30771 & -6.30771 \tabularnewline
58 & 8.5 & 6.05601 & 2.44399 \tabularnewline
59 & 3.5 & 6.0071 & -2.5071 \tabularnewline
60 & 7.5 & 6.22816 & 1.27184 \tabularnewline
61 & 3.5 & 6.20501 & -2.70501 \tabularnewline
62 & 6 & 6.05079 & -0.0507894 \tabularnewline
63 & 1.5 & 6.02503 & -4.52503 \tabularnewline
64 & 9 & 6.22816 & 2.77184 \tabularnewline
65 & 3.5 & 6.1561 & -2.6561 \tabularnewline
66 & 3.5 & 6.0534 & -2.5534 \tabularnewline
67 & 4 & 6.14078 & -2.14078 \tabularnewline
68 & 6.5 & 6.18186 & 0.318142 \tabularnewline
69 & 7.5 & 6.13817 & 1.36183 \tabularnewline
70 & 6 & 6.18447 & -0.184468 \tabularnewline
71 & 5 & 6.27185 & -1.27185 \tabularnewline
72 & 5.5 & 6.14078 & -0.640778 \tabularnewline
73 & 3.5 & 6.09187 & -2.59187 \tabularnewline
74 & 7.5 & 5.96341 & 1.53659 \tabularnewline
75 & 6.5 & 5.97873 & 0.52127 \tabularnewline
76 & 6.5 & 6.22555 & 0.274453 \tabularnewline
77 & 6.5 & 6.0534 & 0.446601 \tabularnewline
78 & 7 & 6.20501 & 0.794993 \tabularnewline
79 & 3.5 & 6.2024 & -2.7024 \tabularnewline
80 & 1.5 & 6.22816 & -4.72816 \tabularnewline
81 & 4 & 6.16132 & -2.16132 \tabularnewline
82 & 7.5 & 6.13817 & 1.36183 \tabularnewline
83 & 4.5 & 6.22816 & -1.72816 \tabularnewline
84 & 0 & 6.13817 & -6.13817 \tabularnewline
85 & 3.5 & 6.28978 & -2.78978 \tabularnewline
86 & 5.5 & 6.2487 & -0.748697 \tabularnewline
87 & 5 & 6.22816 & -1.22816 \tabularnewline
88 & 4.5 & 6.06872 & -1.56872 \tabularnewline
89 & 2.5 & 6.07394 & -3.57394 \tabularnewline
90 & 7.5 & 6.0534 & 1.4466 \tabularnewline
91 & 7 & 6.17664 & 0.823363 \tabularnewline
92 & 0 & 6.11502 & -6.11502 \tabularnewline
93 & 4.5 & 6.29761 & -1.79761 \tabularnewline
94 & 3 & 6.18186 & -3.18186 \tabularnewline
95 & 1.5 & 6.11763 & -4.61763 \tabularnewline
96 & 3.5 & 6.22816 & -2.72816 \tabularnewline
97 & 2.5 & 6.18447 & -3.68447 \tabularnewline
98 & 5.5 & 6.0534 & -0.553399 \tabularnewline
99 & 8 & 5.89918 & 2.10082 \tabularnewline
100 & 1 & 6.02764 & -5.02764 \tabularnewline
101 & 5 & 6.2487 & -1.2487 \tabularnewline
102 & 4.5 & 6.22816 & -1.72816 \tabularnewline
103 & 3 & 5.96602 & -2.96602 \tabularnewline
104 & 3 & 6.27446 & -3.27446 \tabularnewline
105 & 8 & 6.13556 & 1.86444 \tabularnewline
106 & 2.5 & 6.26924 & -3.76924 \tabularnewline
107 & 7 & 6.02764 & 0.97236 \tabularnewline
108 & 0 & 6.18186 & -6.18186 \tabularnewline
109 & 1 & 6.11502 & -5.11502 \tabularnewline
110 & 3.5 & 6.05079 & -2.55079 \tabularnewline
111 & 5.5 & 6.18447 & -0.684468 \tabularnewline
112 & 5.5 & 5.85549 & -0.355492 \tabularnewline
113 & 0.5 & 6.28978 & -5.78978 \tabularnewline
114 & 7.5 & 6.2487 & 1.2513 \tabularnewline
115 & 9 & 6.22816 & 2.77184 \tabularnewline
116 & 9.5 & 6.22816 & 3.27184 \tabularnewline
117 & 8.5 & 6.1561 & 2.3439 \tabularnewline
118 & 7 & 6.18447 & 0.815532 \tabularnewline
119 & 8 & 6.14078 & 1.85922 \tabularnewline
120 & 10 & 6.18447 & 3.81553 \tabularnewline
121 & 7 & 6.26924 & 0.730764 \tabularnewline
122 & 8.5 & 6.03547 & 2.46453 \tabularnewline
123 & 9 & 6.0071 & 2.9929 \tabularnewline
124 & 9.5 & 6.21023 & 3.28977 \tabularnewline
125 & 4 & 6.22555 & -2.22555 \tabularnewline
126 & 6 & 6.25392 & -0.253917 \tabularnewline
127 & 8 & 6.28978 & 1.71022 \tabularnewline
128 & 5.5 & 6.3413 & -0.841296 \tabularnewline
129 & 9.5 & 6.22816 & 3.27184 \tabularnewline
130 & 7.5 & 6.25131 & 1.24869 \tabularnewline
131 & 7 & 6.22816 & 0.771843 \tabularnewline
132 & 7.5 & 6.18447 & 1.31553 \tabularnewline
133 & 8 & 6.17925 & 1.82075 \tabularnewline
134 & 7 & 6.28978 & 0.710224 \tabularnewline
135 & 7 & 6.16654 & 0.833462 \tabularnewline
136 & 6 & 6.22816 & -0.228157 \tabularnewline
137 & 10 & 6.27185 & 3.72815 \tabularnewline
138 & 2.5 & 6.3413 & -3.8413 \tabularnewline
139 & 9 & 6.16132 & 2.83868 \tabularnewline
140 & 8 & 6.27185 & 1.72815 \tabularnewline
141 & 6 & 5.9145 & 0.0854991 \tabularnewline
142 & 8.5 & 6.18708 & 2.31292 \tabularnewline
143 & 6 & 6.18447 & -0.184468 \tabularnewline
144 & 9 & 6.22816 & 2.77184 \tabularnewline
145 & 8 & 6.22816 & 1.77184 \tabularnewline
146 & 9 & 6.16132 & 2.83868 \tabularnewline
147 & 5.5 & 6.22816 & -0.728157 \tabularnewline
148 & 7 & 6.22816 & 0.771843 \tabularnewline
149 & 5.5 & 6.22816 & -0.728157 \tabularnewline
150 & 9 & 6.14078 & 2.85922 \tabularnewline
151 & 2 & 6.22294 & -4.22294 \tabularnewline
152 & 8.5 & 6.31032 & 2.18968 \tabularnewline
153 & 9 & 6.22816 & 2.77184 \tabularnewline
154 & 8.5 & 6.18447 & 2.31553 \tabularnewline
155 & 9 & 6.2487 & 2.7513 \tabularnewline
156 & 7.5 & 6.26924 & 1.23076 \tabularnewline
157 & 10 & 6.33608 & 3.66392 \tabularnewline
158 & 9 & 6.18447 & 2.81553 \tabularnewline
159 & 7.5 & 6.20762 & 1.29238 \tabularnewline
160 & 6 & 6.22816 & -0.228157 \tabularnewline
161 & 10.5 & 6.22816 & 4.27184 \tabularnewline
162 & 8.5 & 6.31293 & 2.18707 \tabularnewline
163 & 8 & 6.18186 & 1.81814 \tabularnewline
164 & 10 & 6.33608 & 3.66392 \tabularnewline
165 & 10.5 & 6.00449 & 4.49551 \tabularnewline
166 & 6.5 & 6.18447 & 0.315532 \tabularnewline
167 & 9.5 & 6.2024 & 3.2976 \tabularnewline
168 & 8.5 & 6.18447 & 2.31553 \tabularnewline
169 & 7.5 & 6.15871 & 1.34129 \tabularnewline
170 & 5 & 6.2487 & -1.2487 \tabularnewline
171 & 8 & 6.3413 & 1.6587 \tabularnewline
172 & 10 & 6.22294 & 3.77706 \tabularnewline
173 & 7 & 6.13556 & 0.864442 \tabularnewline
174 & 7.5 & 6.20501 & 1.29499 \tabularnewline
175 & 7.5 & 6.20501 & 1.29499 \tabularnewline
176 & 9.5 & 6.20501 & 3.29499 \tabularnewline
177 & 6 & 6.20762 & -0.207617 \tabularnewline
178 & 10 & 6.11241 & 3.88759 \tabularnewline
179 & 7 & 6.22816 & 0.771843 \tabularnewline
180 & 3 & 5.91711 & -2.91711 \tabularnewline
181 & 6 & 6.09187 & -0.0918686 \tabularnewline
182 & 7 & 6.08665 & 0.913352 \tabularnewline
183 & 10 & 6.20501 & 3.79499 \tabularnewline
184 & 7 & 6.26924 & 0.730764 \tabularnewline
185 & 3.5 & 6.24348 & -2.74348 \tabularnewline
186 & 8 & 6.18447 & 1.81553 \tabularnewline
187 & 10 & 6.11763 & 3.88237 \tabularnewline
188 & 5.5 & 6.15871 & -0.658708 \tabularnewline
189 & 6 & 6.09448 & -0.0944788 \tabularnewline
190 & 6.5 & 6.31032 & 0.189684 \tabularnewline
191 & 6.5 & 6.22294 & 0.277063 \tabularnewline
192 & 8.5 & 6.2487 & 2.2513 \tabularnewline
193 & 4 & 6.14078 & -2.14078 \tabularnewline
194 & 9.5 & 6.22555 & 3.27445 \tabularnewline
195 & 8 & 6.0071 & 1.9929 \tabularnewline
196 & 8.5 & 6.22816 & 2.27184 \tabularnewline
197 & 5.5 & 6.22294 & -0.722937 \tabularnewline
198 & 7 & 6.2487 & 0.751303 \tabularnewline
199 & 9 & 6.13556 & 2.86444 \tabularnewline
200 & 8 & 6.26924 & 1.73076 \tabularnewline
201 & 10 & 6.18708 & 3.81292 \tabularnewline
202 & 8 & 6.24609 & 1.75391 \tabularnewline
203 & 6 & 6.2024 & -0.202397 \tabularnewline
204 & 8 & 6.26924 & 1.73076 \tabularnewline
205 & 5 & 5.98917 & -0.98917 \tabularnewline
206 & 9 & 6.18447 & 2.81553 \tabularnewline
207 & 4.5 & 6.295 & -1.795 \tabularnewline
208 & 8.5 & 6.17925 & 2.32075 \tabularnewline
209 & 9.5 & 6.01981 & 3.48019 \tabularnewline
210 & 8.5 & 5.91711 & 2.58289 \tabularnewline
211 & 7.5 & 6.27185 & 1.22815 \tabularnewline
212 & 7.5 & 6.33608 & 1.16392 \tabularnewline
213 & 5 & 6.24609 & -1.24609 \tabularnewline
214 & 7 & 5.87864 & 1.12136 \tabularnewline
215 & 8 & 6.09709 & 1.90291 \tabularnewline
216 & 5.5 & 6.09709 & -0.597089 \tabularnewline
217 & 8.5 & 6.22555 & 2.27445 \tabularnewline
218 & 9.5 & 6.295 & 3.205 \tabularnewline
219 & 7 & 6.28978 & 0.710224 \tabularnewline
220 & 8 & 6.14078 & 1.85922 \tabularnewline
221 & 8.5 & 6.20501 & 2.29499 \tabularnewline
222 & 3.5 & 6.31815 & -2.81815 \tabularnewline
223 & 6.5 & 6.2487 & 0.251303 \tabularnewline
224 & 6.5 & 6.11502 & 0.384982 \tabularnewline
225 & 10.5 & 6.22816 & 4.27184 \tabularnewline
226 & 8.5 & 6.09187 & 2.40813 \tabularnewline
227 & 8 & 6.16654 & 1.83346 \tabularnewline
228 & 10 & 6.18447 & 3.81553 \tabularnewline
229 & 10 & 6.31815 & 3.68185 \tabularnewline
230 & 9.5 & 6.18447 & 3.31553 \tabularnewline
231 & 9 & 6.2024 & 2.7976 \tabularnewline
232 & 10 & 6.2024 & 3.7976 \tabularnewline
233 & 7.5 & 6.25131 & 1.24869 \tabularnewline
234 & 4.5 & 6.20762 & -1.70762 \tabularnewline
235 & 4.5 & 6.3413 & -1.8413 \tabularnewline
236 & 0.5 & 6.2487 & -5.7487 \tabularnewline
237 & 6.5 & 6.02503 & 0.474971 \tabularnewline
238 & 4.5 & 6.13817 & -1.63817 \tabularnewline
239 & 5.5 & 6.20501 & -0.705007 \tabularnewline
240 & 5 & 6.31815 & -1.31815 \tabularnewline
241 & 6 & 6.18708 & -0.187078 \tabularnewline
242 & 4 & 6.25131 & -2.25131 \tabularnewline
243 & 8 & 6.22816 & 1.77184 \tabularnewline
244 & 10.5 & 6.00449 & 4.49551 \tabularnewline
245 & 6.5 & 5.98917 & 0.51083 \tabularnewline
246 & 8 & 6.2024 & 1.7976 \tabularnewline
247 & 8.5 & 6.35923 & 2.14077 \tabularnewline
248 & 5.5 & 6.07655 & -0.576549 \tabularnewline
249 & 7 & 6.16132 & 0.838682 \tabularnewline
250 & 5 & 6.20501 & -1.20501 \tabularnewline
251 & 3.5 & 6.16393 & -2.66393 \tabularnewline
252 & 5 & 6.14078 & -1.14078 \tabularnewline
253 & 9 & 6.22816 & 2.77184 \tabularnewline
254 & 8.5 & 6.31293 & 2.18707 \tabularnewline
255 & 5 & 6.11502 & -1.11502 \tabularnewline
256 & 9.5 & 6.22555 & 3.27445 \tabularnewline
257 & 3 & 6.25131 & -3.25131 \tabularnewline
258 & 1.5 & 6.16393 & -4.66393 \tabularnewline
259 & 6 & 6.02764 & -0.0276396 \tabularnewline
260 & 0.5 & 6.2487 & -5.7487 \tabularnewline
261 & 6.5 & 6.18447 & 0.315532 \tabularnewline
262 & 7.5 & 6.09187 & 1.40813 \tabularnewline
263 & 4.5 & 6.22816 & -1.72816 \tabularnewline
264 & 8 & 6.22816 & 1.77184 \tabularnewline
265 & 9 & 6.22816 & 2.77184 \tabularnewline
266 & 7.5 & 6.2024 & 1.2976 \tabularnewline
267 & 8.5 & 6.14078 & 2.35922 \tabularnewline
268 & 7 & 6.22816 & 0.771843 \tabularnewline
269 & 9.5 & 6.2487 & 3.2513 \tabularnewline
270 & 6.5 & 6.31554 & 0.184464 \tabularnewline
271 & 9.5 & 6.26402 & 3.23598 \tabularnewline
272 & 6 & 6.50561 & -0.505613 \tabularnewline
273 & 8 & 6.22555 & 1.77445 \tabularnewline
274 & 9.5 & 6.22816 & 3.27184 \tabularnewline
275 & 8 & 6.26924 & 1.73076 \tabularnewline
276 & 8 & 6.22816 & 1.77184 \tabularnewline
277 & 9 & 6.11502 & 2.88498 \tabularnewline
278 & 5 & 6.0635 & -1.0635 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267576&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]7.5[/C][C]6.09709[/C][C]1.40291[/C][/ROW]
[ROW][C]2[/C][C]6[/C][C]5.9608[/C][C]0.0391996[/C][/ROW]
[ROW][C]3[/C][C]6.5[/C][C]6.16132[/C][C]0.338682[/C][/ROW]
[ROW][C]4[/C][C]1[/C][C]6.20762[/C][C]-5.20762[/C][/ROW]
[ROW][C]5[/C][C]1[/C][C]6.16132[/C][C]-5.16132[/C][/ROW]
[ROW][C]6[/C][C]5.5[/C][C]6.13817[/C][C]-0.638168[/C][/ROW]
[ROW][C]7[/C][C]8.5[/C][C]6.28717[/C][C]2.21283[/C][/ROW]
[ROW][C]8[/C][C]6.5[/C][C]6.13817[/C][C]0.361832[/C][/ROW]
[ROW][C]9[/C][C]4.5[/C][C]6.3413[/C][C]-1.8413[/C][/ROW]
[ROW][C]10[/C][C]2[/C][C]6.27185[/C][C]-4.27185[/C][/ROW]
[ROW][C]11[/C][C]5[/C][C]6.18447[/C][C]-1.18447[/C][/ROW]
[ROW][C]12[/C][C]0.5[/C][C]6.26924[/C][C]-5.76924[/C][/ROW]
[ROW][C]13[/C][C]5[/C][C]6.09448[/C][C]-1.09448[/C][/ROW]
[ROW][C]14[/C][C]5[/C][C]6.23077[/C][C]-1.23077[/C][/ROW]
[ROW][C]15[/C][C]2.5[/C][C]6.13295[/C][C]-3.63295[/C][/ROW]
[ROW][C]16[/C][C]5[/C][C]6.22816[/C][C]-1.22816[/C][/ROW]
[ROW][C]17[/C][C]5.5[/C][C]6.18708[/C][C]-0.687078[/C][/ROW]
[ROW][C]18[/C][C]3.5[/C][C]6.20501[/C][C]-2.70501[/C][/ROW]
[ROW][C]19[/C][C]3[/C][C]6.17925[/C][C]-3.17925[/C][/ROW]
[ROW][C]20[/C][C]4[/C][C]6.14078[/C][C]-2.14078[/C][/ROW]
[ROW][C]21[/C][C]0.5[/C][C]6.29761[/C][C]-5.79761[/C][/ROW]
[ROW][C]22[/C][C]6.5[/C][C]6.20762[/C][C]0.292383[/C][/ROW]
[ROW][C]23[/C][C]4.5[/C][C]6.29239[/C][C]-1.79239[/C][/ROW]
[ROW][C]24[/C][C]7.5[/C][C]5.96602[/C][C]1.53398[/C][/ROW]
[ROW][C]25[/C][C]5.5[/C][C]6.28717[/C][C]-0.787166[/C][/ROW]
[ROW][C]26[/C][C]4[/C][C]6.16132[/C][C]-2.16132[/C][/ROW]
[ROW][C]27[/C][C]7.5[/C][C]6.24348[/C][C]1.25652[/C][/ROW]
[ROW][C]28[/C][C]7[/C][C]6.22816[/C][C]0.771843[/C][/ROW]
[ROW][C]29[/C][C]4[/C][C]6.18447[/C][C]-2.18447[/C][/ROW]
[ROW][C]30[/C][C]5.5[/C][C]6.25131[/C][C]-0.751307[/C][/ROW]
[ROW][C]31[/C][C]2.5[/C][C]6.2024[/C][C]-3.7024[/C][/ROW]
[ROW][C]32[/C][C]5.5[/C][C]6.2487[/C][C]-0.748697[/C][/ROW]
[ROW][C]33[/C][C]3.5[/C][C]6.18447[/C][C]-2.68447[/C][/ROW]
[ROW][C]34[/C][C]2.5[/C][C]6.16654[/C][C]-3.66654[/C][/ROW]
[ROW][C]35[/C][C]4.5[/C][C]6.22816[/C][C]-1.72816[/C][/ROW]
[ROW][C]36[/C][C]4.5[/C][C]6.08926[/C][C]-1.58926[/C][/ROW]
[ROW][C]37[/C][C]4.5[/C][C]6.02242[/C][C]-1.52242[/C][/ROW]
[ROW][C]38[/C][C]6[/C][C]6.25131[/C][C]-0.251307[/C][/ROW]
[ROW][C]39[/C][C]2.5[/C][C]6.16132[/C][C]-3.66132[/C][/ROW]
[ROW][C]40[/C][C]5[/C][C]6.08926[/C][C]-1.08926[/C][/ROW]
[ROW][C]41[/C][C]0[/C][C]6.14078[/C][C]-6.14078[/C][/ROW]
[ROW][C]42[/C][C]5[/C][C]6.09448[/C][C]-1.09448[/C][/ROW]
[ROW][C]43[/C][C]6.5[/C][C]6.35139[/C][C]0.148605[/C][/ROW]
[ROW][C]44[/C][C]5[/C][C]6.22816[/C][C]-1.22816[/C][/ROW]
[ROW][C]45[/C][C]6[/C][C]6.2487[/C][C]-0.248697[/C][/ROW]
[ROW][C]46[/C][C]4.5[/C][C]6.00188[/C][C]-1.50188[/C][/ROW]
[ROW][C]47[/C][C]5.5[/C][C]6.22816[/C][C]-0.728157[/C][/ROW]
[ROW][C]48[/C][C]1[/C][C]6.18447[/C][C]-5.18447[/C][/ROW]
[ROW][C]49[/C][C]7.5[/C][C]5.9608[/C][C]1.5392[/C][/ROW]
[ROW][C]50[/C][C]6[/C][C]6.13817[/C][C]-0.138168[/C][/ROW]
[ROW][C]51[/C][C]5[/C][C]6.16132[/C][C]-1.16132[/C][/ROW]
[ROW][C]52[/C][C]1[/C][C]6.19979[/C][C]-5.19979[/C][/ROW]
[ROW][C]53[/C][C]5[/C][C]6.22816[/C][C]-1.22816[/C][/ROW]
[ROW][C]54[/C][C]6.5[/C][C]6.33869[/C][C]0.161314[/C][/ROW]
[ROW][C]55[/C][C]7[/C][C]6.31815[/C][C]0.681854[/C][/ROW]
[ROW][C]56[/C][C]4.5[/C][C]6.14078[/C][C]-1.64078[/C][/ROW]
[ROW][C]57[/C][C]0[/C][C]6.30771[/C][C]-6.30771[/C][/ROW]
[ROW][C]58[/C][C]8.5[/C][C]6.05601[/C][C]2.44399[/C][/ROW]
[ROW][C]59[/C][C]3.5[/C][C]6.0071[/C][C]-2.5071[/C][/ROW]
[ROW][C]60[/C][C]7.5[/C][C]6.22816[/C][C]1.27184[/C][/ROW]
[ROW][C]61[/C][C]3.5[/C][C]6.20501[/C][C]-2.70501[/C][/ROW]
[ROW][C]62[/C][C]6[/C][C]6.05079[/C][C]-0.0507894[/C][/ROW]
[ROW][C]63[/C][C]1.5[/C][C]6.02503[/C][C]-4.52503[/C][/ROW]
[ROW][C]64[/C][C]9[/C][C]6.22816[/C][C]2.77184[/C][/ROW]
[ROW][C]65[/C][C]3.5[/C][C]6.1561[/C][C]-2.6561[/C][/ROW]
[ROW][C]66[/C][C]3.5[/C][C]6.0534[/C][C]-2.5534[/C][/ROW]
[ROW][C]67[/C][C]4[/C][C]6.14078[/C][C]-2.14078[/C][/ROW]
[ROW][C]68[/C][C]6.5[/C][C]6.18186[/C][C]0.318142[/C][/ROW]
[ROW][C]69[/C][C]7.5[/C][C]6.13817[/C][C]1.36183[/C][/ROW]
[ROW][C]70[/C][C]6[/C][C]6.18447[/C][C]-0.184468[/C][/ROW]
[ROW][C]71[/C][C]5[/C][C]6.27185[/C][C]-1.27185[/C][/ROW]
[ROW][C]72[/C][C]5.5[/C][C]6.14078[/C][C]-0.640778[/C][/ROW]
[ROW][C]73[/C][C]3.5[/C][C]6.09187[/C][C]-2.59187[/C][/ROW]
[ROW][C]74[/C][C]7.5[/C][C]5.96341[/C][C]1.53659[/C][/ROW]
[ROW][C]75[/C][C]6.5[/C][C]5.97873[/C][C]0.52127[/C][/ROW]
[ROW][C]76[/C][C]6.5[/C][C]6.22555[/C][C]0.274453[/C][/ROW]
[ROW][C]77[/C][C]6.5[/C][C]6.0534[/C][C]0.446601[/C][/ROW]
[ROW][C]78[/C][C]7[/C][C]6.20501[/C][C]0.794993[/C][/ROW]
[ROW][C]79[/C][C]3.5[/C][C]6.2024[/C][C]-2.7024[/C][/ROW]
[ROW][C]80[/C][C]1.5[/C][C]6.22816[/C][C]-4.72816[/C][/ROW]
[ROW][C]81[/C][C]4[/C][C]6.16132[/C][C]-2.16132[/C][/ROW]
[ROW][C]82[/C][C]7.5[/C][C]6.13817[/C][C]1.36183[/C][/ROW]
[ROW][C]83[/C][C]4.5[/C][C]6.22816[/C][C]-1.72816[/C][/ROW]
[ROW][C]84[/C][C]0[/C][C]6.13817[/C][C]-6.13817[/C][/ROW]
[ROW][C]85[/C][C]3.5[/C][C]6.28978[/C][C]-2.78978[/C][/ROW]
[ROW][C]86[/C][C]5.5[/C][C]6.2487[/C][C]-0.748697[/C][/ROW]
[ROW][C]87[/C][C]5[/C][C]6.22816[/C][C]-1.22816[/C][/ROW]
[ROW][C]88[/C][C]4.5[/C][C]6.06872[/C][C]-1.56872[/C][/ROW]
[ROW][C]89[/C][C]2.5[/C][C]6.07394[/C][C]-3.57394[/C][/ROW]
[ROW][C]90[/C][C]7.5[/C][C]6.0534[/C][C]1.4466[/C][/ROW]
[ROW][C]91[/C][C]7[/C][C]6.17664[/C][C]0.823363[/C][/ROW]
[ROW][C]92[/C][C]0[/C][C]6.11502[/C][C]-6.11502[/C][/ROW]
[ROW][C]93[/C][C]4.5[/C][C]6.29761[/C][C]-1.79761[/C][/ROW]
[ROW][C]94[/C][C]3[/C][C]6.18186[/C][C]-3.18186[/C][/ROW]
[ROW][C]95[/C][C]1.5[/C][C]6.11763[/C][C]-4.61763[/C][/ROW]
[ROW][C]96[/C][C]3.5[/C][C]6.22816[/C][C]-2.72816[/C][/ROW]
[ROW][C]97[/C][C]2.5[/C][C]6.18447[/C][C]-3.68447[/C][/ROW]
[ROW][C]98[/C][C]5.5[/C][C]6.0534[/C][C]-0.553399[/C][/ROW]
[ROW][C]99[/C][C]8[/C][C]5.89918[/C][C]2.10082[/C][/ROW]
[ROW][C]100[/C][C]1[/C][C]6.02764[/C][C]-5.02764[/C][/ROW]
[ROW][C]101[/C][C]5[/C][C]6.2487[/C][C]-1.2487[/C][/ROW]
[ROW][C]102[/C][C]4.5[/C][C]6.22816[/C][C]-1.72816[/C][/ROW]
[ROW][C]103[/C][C]3[/C][C]5.96602[/C][C]-2.96602[/C][/ROW]
[ROW][C]104[/C][C]3[/C][C]6.27446[/C][C]-3.27446[/C][/ROW]
[ROW][C]105[/C][C]8[/C][C]6.13556[/C][C]1.86444[/C][/ROW]
[ROW][C]106[/C][C]2.5[/C][C]6.26924[/C][C]-3.76924[/C][/ROW]
[ROW][C]107[/C][C]7[/C][C]6.02764[/C][C]0.97236[/C][/ROW]
[ROW][C]108[/C][C]0[/C][C]6.18186[/C][C]-6.18186[/C][/ROW]
[ROW][C]109[/C][C]1[/C][C]6.11502[/C][C]-5.11502[/C][/ROW]
[ROW][C]110[/C][C]3.5[/C][C]6.05079[/C][C]-2.55079[/C][/ROW]
[ROW][C]111[/C][C]5.5[/C][C]6.18447[/C][C]-0.684468[/C][/ROW]
[ROW][C]112[/C][C]5.5[/C][C]5.85549[/C][C]-0.355492[/C][/ROW]
[ROW][C]113[/C][C]0.5[/C][C]6.28978[/C][C]-5.78978[/C][/ROW]
[ROW][C]114[/C][C]7.5[/C][C]6.2487[/C][C]1.2513[/C][/ROW]
[ROW][C]115[/C][C]9[/C][C]6.22816[/C][C]2.77184[/C][/ROW]
[ROW][C]116[/C][C]9.5[/C][C]6.22816[/C][C]3.27184[/C][/ROW]
[ROW][C]117[/C][C]8.5[/C][C]6.1561[/C][C]2.3439[/C][/ROW]
[ROW][C]118[/C][C]7[/C][C]6.18447[/C][C]0.815532[/C][/ROW]
[ROW][C]119[/C][C]8[/C][C]6.14078[/C][C]1.85922[/C][/ROW]
[ROW][C]120[/C][C]10[/C][C]6.18447[/C][C]3.81553[/C][/ROW]
[ROW][C]121[/C][C]7[/C][C]6.26924[/C][C]0.730764[/C][/ROW]
[ROW][C]122[/C][C]8.5[/C][C]6.03547[/C][C]2.46453[/C][/ROW]
[ROW][C]123[/C][C]9[/C][C]6.0071[/C][C]2.9929[/C][/ROW]
[ROW][C]124[/C][C]9.5[/C][C]6.21023[/C][C]3.28977[/C][/ROW]
[ROW][C]125[/C][C]4[/C][C]6.22555[/C][C]-2.22555[/C][/ROW]
[ROW][C]126[/C][C]6[/C][C]6.25392[/C][C]-0.253917[/C][/ROW]
[ROW][C]127[/C][C]8[/C][C]6.28978[/C][C]1.71022[/C][/ROW]
[ROW][C]128[/C][C]5.5[/C][C]6.3413[/C][C]-0.841296[/C][/ROW]
[ROW][C]129[/C][C]9.5[/C][C]6.22816[/C][C]3.27184[/C][/ROW]
[ROW][C]130[/C][C]7.5[/C][C]6.25131[/C][C]1.24869[/C][/ROW]
[ROW][C]131[/C][C]7[/C][C]6.22816[/C][C]0.771843[/C][/ROW]
[ROW][C]132[/C][C]7.5[/C][C]6.18447[/C][C]1.31553[/C][/ROW]
[ROW][C]133[/C][C]8[/C][C]6.17925[/C][C]1.82075[/C][/ROW]
[ROW][C]134[/C][C]7[/C][C]6.28978[/C][C]0.710224[/C][/ROW]
[ROW][C]135[/C][C]7[/C][C]6.16654[/C][C]0.833462[/C][/ROW]
[ROW][C]136[/C][C]6[/C][C]6.22816[/C][C]-0.228157[/C][/ROW]
[ROW][C]137[/C][C]10[/C][C]6.27185[/C][C]3.72815[/C][/ROW]
[ROW][C]138[/C][C]2.5[/C][C]6.3413[/C][C]-3.8413[/C][/ROW]
[ROW][C]139[/C][C]9[/C][C]6.16132[/C][C]2.83868[/C][/ROW]
[ROW][C]140[/C][C]8[/C][C]6.27185[/C][C]1.72815[/C][/ROW]
[ROW][C]141[/C][C]6[/C][C]5.9145[/C][C]0.0854991[/C][/ROW]
[ROW][C]142[/C][C]8.5[/C][C]6.18708[/C][C]2.31292[/C][/ROW]
[ROW][C]143[/C][C]6[/C][C]6.18447[/C][C]-0.184468[/C][/ROW]
[ROW][C]144[/C][C]9[/C][C]6.22816[/C][C]2.77184[/C][/ROW]
[ROW][C]145[/C][C]8[/C][C]6.22816[/C][C]1.77184[/C][/ROW]
[ROW][C]146[/C][C]9[/C][C]6.16132[/C][C]2.83868[/C][/ROW]
[ROW][C]147[/C][C]5.5[/C][C]6.22816[/C][C]-0.728157[/C][/ROW]
[ROW][C]148[/C][C]7[/C][C]6.22816[/C][C]0.771843[/C][/ROW]
[ROW][C]149[/C][C]5.5[/C][C]6.22816[/C][C]-0.728157[/C][/ROW]
[ROW][C]150[/C][C]9[/C][C]6.14078[/C][C]2.85922[/C][/ROW]
[ROW][C]151[/C][C]2[/C][C]6.22294[/C][C]-4.22294[/C][/ROW]
[ROW][C]152[/C][C]8.5[/C][C]6.31032[/C][C]2.18968[/C][/ROW]
[ROW][C]153[/C][C]9[/C][C]6.22816[/C][C]2.77184[/C][/ROW]
[ROW][C]154[/C][C]8.5[/C][C]6.18447[/C][C]2.31553[/C][/ROW]
[ROW][C]155[/C][C]9[/C][C]6.2487[/C][C]2.7513[/C][/ROW]
[ROW][C]156[/C][C]7.5[/C][C]6.26924[/C][C]1.23076[/C][/ROW]
[ROW][C]157[/C][C]10[/C][C]6.33608[/C][C]3.66392[/C][/ROW]
[ROW][C]158[/C][C]9[/C][C]6.18447[/C][C]2.81553[/C][/ROW]
[ROW][C]159[/C][C]7.5[/C][C]6.20762[/C][C]1.29238[/C][/ROW]
[ROW][C]160[/C][C]6[/C][C]6.22816[/C][C]-0.228157[/C][/ROW]
[ROW][C]161[/C][C]10.5[/C][C]6.22816[/C][C]4.27184[/C][/ROW]
[ROW][C]162[/C][C]8.5[/C][C]6.31293[/C][C]2.18707[/C][/ROW]
[ROW][C]163[/C][C]8[/C][C]6.18186[/C][C]1.81814[/C][/ROW]
[ROW][C]164[/C][C]10[/C][C]6.33608[/C][C]3.66392[/C][/ROW]
[ROW][C]165[/C][C]10.5[/C][C]6.00449[/C][C]4.49551[/C][/ROW]
[ROW][C]166[/C][C]6.5[/C][C]6.18447[/C][C]0.315532[/C][/ROW]
[ROW][C]167[/C][C]9.5[/C][C]6.2024[/C][C]3.2976[/C][/ROW]
[ROW][C]168[/C][C]8.5[/C][C]6.18447[/C][C]2.31553[/C][/ROW]
[ROW][C]169[/C][C]7.5[/C][C]6.15871[/C][C]1.34129[/C][/ROW]
[ROW][C]170[/C][C]5[/C][C]6.2487[/C][C]-1.2487[/C][/ROW]
[ROW][C]171[/C][C]8[/C][C]6.3413[/C][C]1.6587[/C][/ROW]
[ROW][C]172[/C][C]10[/C][C]6.22294[/C][C]3.77706[/C][/ROW]
[ROW][C]173[/C][C]7[/C][C]6.13556[/C][C]0.864442[/C][/ROW]
[ROW][C]174[/C][C]7.5[/C][C]6.20501[/C][C]1.29499[/C][/ROW]
[ROW][C]175[/C][C]7.5[/C][C]6.20501[/C][C]1.29499[/C][/ROW]
[ROW][C]176[/C][C]9.5[/C][C]6.20501[/C][C]3.29499[/C][/ROW]
[ROW][C]177[/C][C]6[/C][C]6.20762[/C][C]-0.207617[/C][/ROW]
[ROW][C]178[/C][C]10[/C][C]6.11241[/C][C]3.88759[/C][/ROW]
[ROW][C]179[/C][C]7[/C][C]6.22816[/C][C]0.771843[/C][/ROW]
[ROW][C]180[/C][C]3[/C][C]5.91711[/C][C]-2.91711[/C][/ROW]
[ROW][C]181[/C][C]6[/C][C]6.09187[/C][C]-0.0918686[/C][/ROW]
[ROW][C]182[/C][C]7[/C][C]6.08665[/C][C]0.913352[/C][/ROW]
[ROW][C]183[/C][C]10[/C][C]6.20501[/C][C]3.79499[/C][/ROW]
[ROW][C]184[/C][C]7[/C][C]6.26924[/C][C]0.730764[/C][/ROW]
[ROW][C]185[/C][C]3.5[/C][C]6.24348[/C][C]-2.74348[/C][/ROW]
[ROW][C]186[/C][C]8[/C][C]6.18447[/C][C]1.81553[/C][/ROW]
[ROW][C]187[/C][C]10[/C][C]6.11763[/C][C]3.88237[/C][/ROW]
[ROW][C]188[/C][C]5.5[/C][C]6.15871[/C][C]-0.658708[/C][/ROW]
[ROW][C]189[/C][C]6[/C][C]6.09448[/C][C]-0.0944788[/C][/ROW]
[ROW][C]190[/C][C]6.5[/C][C]6.31032[/C][C]0.189684[/C][/ROW]
[ROW][C]191[/C][C]6.5[/C][C]6.22294[/C][C]0.277063[/C][/ROW]
[ROW][C]192[/C][C]8.5[/C][C]6.2487[/C][C]2.2513[/C][/ROW]
[ROW][C]193[/C][C]4[/C][C]6.14078[/C][C]-2.14078[/C][/ROW]
[ROW][C]194[/C][C]9.5[/C][C]6.22555[/C][C]3.27445[/C][/ROW]
[ROW][C]195[/C][C]8[/C][C]6.0071[/C][C]1.9929[/C][/ROW]
[ROW][C]196[/C][C]8.5[/C][C]6.22816[/C][C]2.27184[/C][/ROW]
[ROW][C]197[/C][C]5.5[/C][C]6.22294[/C][C]-0.722937[/C][/ROW]
[ROW][C]198[/C][C]7[/C][C]6.2487[/C][C]0.751303[/C][/ROW]
[ROW][C]199[/C][C]9[/C][C]6.13556[/C][C]2.86444[/C][/ROW]
[ROW][C]200[/C][C]8[/C][C]6.26924[/C][C]1.73076[/C][/ROW]
[ROW][C]201[/C][C]10[/C][C]6.18708[/C][C]3.81292[/C][/ROW]
[ROW][C]202[/C][C]8[/C][C]6.24609[/C][C]1.75391[/C][/ROW]
[ROW][C]203[/C][C]6[/C][C]6.2024[/C][C]-0.202397[/C][/ROW]
[ROW][C]204[/C][C]8[/C][C]6.26924[/C][C]1.73076[/C][/ROW]
[ROW][C]205[/C][C]5[/C][C]5.98917[/C][C]-0.98917[/C][/ROW]
[ROW][C]206[/C][C]9[/C][C]6.18447[/C][C]2.81553[/C][/ROW]
[ROW][C]207[/C][C]4.5[/C][C]6.295[/C][C]-1.795[/C][/ROW]
[ROW][C]208[/C][C]8.5[/C][C]6.17925[/C][C]2.32075[/C][/ROW]
[ROW][C]209[/C][C]9.5[/C][C]6.01981[/C][C]3.48019[/C][/ROW]
[ROW][C]210[/C][C]8.5[/C][C]5.91711[/C][C]2.58289[/C][/ROW]
[ROW][C]211[/C][C]7.5[/C][C]6.27185[/C][C]1.22815[/C][/ROW]
[ROW][C]212[/C][C]7.5[/C][C]6.33608[/C][C]1.16392[/C][/ROW]
[ROW][C]213[/C][C]5[/C][C]6.24609[/C][C]-1.24609[/C][/ROW]
[ROW][C]214[/C][C]7[/C][C]5.87864[/C][C]1.12136[/C][/ROW]
[ROW][C]215[/C][C]8[/C][C]6.09709[/C][C]1.90291[/C][/ROW]
[ROW][C]216[/C][C]5.5[/C][C]6.09709[/C][C]-0.597089[/C][/ROW]
[ROW][C]217[/C][C]8.5[/C][C]6.22555[/C][C]2.27445[/C][/ROW]
[ROW][C]218[/C][C]9.5[/C][C]6.295[/C][C]3.205[/C][/ROW]
[ROW][C]219[/C][C]7[/C][C]6.28978[/C][C]0.710224[/C][/ROW]
[ROW][C]220[/C][C]8[/C][C]6.14078[/C][C]1.85922[/C][/ROW]
[ROW][C]221[/C][C]8.5[/C][C]6.20501[/C][C]2.29499[/C][/ROW]
[ROW][C]222[/C][C]3.5[/C][C]6.31815[/C][C]-2.81815[/C][/ROW]
[ROW][C]223[/C][C]6.5[/C][C]6.2487[/C][C]0.251303[/C][/ROW]
[ROW][C]224[/C][C]6.5[/C][C]6.11502[/C][C]0.384982[/C][/ROW]
[ROW][C]225[/C][C]10.5[/C][C]6.22816[/C][C]4.27184[/C][/ROW]
[ROW][C]226[/C][C]8.5[/C][C]6.09187[/C][C]2.40813[/C][/ROW]
[ROW][C]227[/C][C]8[/C][C]6.16654[/C][C]1.83346[/C][/ROW]
[ROW][C]228[/C][C]10[/C][C]6.18447[/C][C]3.81553[/C][/ROW]
[ROW][C]229[/C][C]10[/C][C]6.31815[/C][C]3.68185[/C][/ROW]
[ROW][C]230[/C][C]9.5[/C][C]6.18447[/C][C]3.31553[/C][/ROW]
[ROW][C]231[/C][C]9[/C][C]6.2024[/C][C]2.7976[/C][/ROW]
[ROW][C]232[/C][C]10[/C][C]6.2024[/C][C]3.7976[/C][/ROW]
[ROW][C]233[/C][C]7.5[/C][C]6.25131[/C][C]1.24869[/C][/ROW]
[ROW][C]234[/C][C]4.5[/C][C]6.20762[/C][C]-1.70762[/C][/ROW]
[ROW][C]235[/C][C]4.5[/C][C]6.3413[/C][C]-1.8413[/C][/ROW]
[ROW][C]236[/C][C]0.5[/C][C]6.2487[/C][C]-5.7487[/C][/ROW]
[ROW][C]237[/C][C]6.5[/C][C]6.02503[/C][C]0.474971[/C][/ROW]
[ROW][C]238[/C][C]4.5[/C][C]6.13817[/C][C]-1.63817[/C][/ROW]
[ROW][C]239[/C][C]5.5[/C][C]6.20501[/C][C]-0.705007[/C][/ROW]
[ROW][C]240[/C][C]5[/C][C]6.31815[/C][C]-1.31815[/C][/ROW]
[ROW][C]241[/C][C]6[/C][C]6.18708[/C][C]-0.187078[/C][/ROW]
[ROW][C]242[/C][C]4[/C][C]6.25131[/C][C]-2.25131[/C][/ROW]
[ROW][C]243[/C][C]8[/C][C]6.22816[/C][C]1.77184[/C][/ROW]
[ROW][C]244[/C][C]10.5[/C][C]6.00449[/C][C]4.49551[/C][/ROW]
[ROW][C]245[/C][C]6.5[/C][C]5.98917[/C][C]0.51083[/C][/ROW]
[ROW][C]246[/C][C]8[/C][C]6.2024[/C][C]1.7976[/C][/ROW]
[ROW][C]247[/C][C]8.5[/C][C]6.35923[/C][C]2.14077[/C][/ROW]
[ROW][C]248[/C][C]5.5[/C][C]6.07655[/C][C]-0.576549[/C][/ROW]
[ROW][C]249[/C][C]7[/C][C]6.16132[/C][C]0.838682[/C][/ROW]
[ROW][C]250[/C][C]5[/C][C]6.20501[/C][C]-1.20501[/C][/ROW]
[ROW][C]251[/C][C]3.5[/C][C]6.16393[/C][C]-2.66393[/C][/ROW]
[ROW][C]252[/C][C]5[/C][C]6.14078[/C][C]-1.14078[/C][/ROW]
[ROW][C]253[/C][C]9[/C][C]6.22816[/C][C]2.77184[/C][/ROW]
[ROW][C]254[/C][C]8.5[/C][C]6.31293[/C][C]2.18707[/C][/ROW]
[ROW][C]255[/C][C]5[/C][C]6.11502[/C][C]-1.11502[/C][/ROW]
[ROW][C]256[/C][C]9.5[/C][C]6.22555[/C][C]3.27445[/C][/ROW]
[ROW][C]257[/C][C]3[/C][C]6.25131[/C][C]-3.25131[/C][/ROW]
[ROW][C]258[/C][C]1.5[/C][C]6.16393[/C][C]-4.66393[/C][/ROW]
[ROW][C]259[/C][C]6[/C][C]6.02764[/C][C]-0.0276396[/C][/ROW]
[ROW][C]260[/C][C]0.5[/C][C]6.2487[/C][C]-5.7487[/C][/ROW]
[ROW][C]261[/C][C]6.5[/C][C]6.18447[/C][C]0.315532[/C][/ROW]
[ROW][C]262[/C][C]7.5[/C][C]6.09187[/C][C]1.40813[/C][/ROW]
[ROW][C]263[/C][C]4.5[/C][C]6.22816[/C][C]-1.72816[/C][/ROW]
[ROW][C]264[/C][C]8[/C][C]6.22816[/C][C]1.77184[/C][/ROW]
[ROW][C]265[/C][C]9[/C][C]6.22816[/C][C]2.77184[/C][/ROW]
[ROW][C]266[/C][C]7.5[/C][C]6.2024[/C][C]1.2976[/C][/ROW]
[ROW][C]267[/C][C]8.5[/C][C]6.14078[/C][C]2.35922[/C][/ROW]
[ROW][C]268[/C][C]7[/C][C]6.22816[/C][C]0.771843[/C][/ROW]
[ROW][C]269[/C][C]9.5[/C][C]6.2487[/C][C]3.2513[/C][/ROW]
[ROW][C]270[/C][C]6.5[/C][C]6.31554[/C][C]0.184464[/C][/ROW]
[ROW][C]271[/C][C]9.5[/C][C]6.26402[/C][C]3.23598[/C][/ROW]
[ROW][C]272[/C][C]6[/C][C]6.50561[/C][C]-0.505613[/C][/ROW]
[ROW][C]273[/C][C]8[/C][C]6.22555[/C][C]1.77445[/C][/ROW]
[ROW][C]274[/C][C]9.5[/C][C]6.22816[/C][C]3.27184[/C][/ROW]
[ROW][C]275[/C][C]8[/C][C]6.26924[/C][C]1.73076[/C][/ROW]
[ROW][C]276[/C][C]8[/C][C]6.22816[/C][C]1.77184[/C][/ROW]
[ROW][C]277[/C][C]9[/C][C]6.11502[/C][C]2.88498[/C][/ROW]
[ROW][C]278[/C][C]5[/C][C]6.0635[/C][C]-1.0635[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267576&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267576&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
17.56.097091.40291
265.96080.0391996
36.56.161320.338682
416.20762-5.20762
516.16132-5.16132
65.56.13817-0.638168
78.56.287172.21283
86.56.138170.361832
94.56.3413-1.8413
1026.27185-4.27185
1156.18447-1.18447
120.56.26924-5.76924
1356.09448-1.09448
1456.23077-1.23077
152.56.13295-3.63295
1656.22816-1.22816
175.56.18708-0.687078
183.56.20501-2.70501
1936.17925-3.17925
2046.14078-2.14078
210.56.29761-5.79761
226.56.207620.292383
234.56.29239-1.79239
247.55.966021.53398
255.56.28717-0.787166
2646.16132-2.16132
277.56.243481.25652
2876.228160.771843
2946.18447-2.18447
305.56.25131-0.751307
312.56.2024-3.7024
325.56.2487-0.748697
333.56.18447-2.68447
342.56.16654-3.66654
354.56.22816-1.72816
364.56.08926-1.58926
374.56.02242-1.52242
3866.25131-0.251307
392.56.16132-3.66132
4056.08926-1.08926
4106.14078-6.14078
4256.09448-1.09448
436.56.351390.148605
4456.22816-1.22816
4566.2487-0.248697
464.56.00188-1.50188
475.56.22816-0.728157
4816.18447-5.18447
497.55.96081.5392
5066.13817-0.138168
5156.16132-1.16132
5216.19979-5.19979
5356.22816-1.22816
546.56.338690.161314
5576.318150.681854
564.56.14078-1.64078
5706.30771-6.30771
588.56.056012.44399
593.56.0071-2.5071
607.56.228161.27184
613.56.20501-2.70501
6266.05079-0.0507894
631.56.02503-4.52503
6496.228162.77184
653.56.1561-2.6561
663.56.0534-2.5534
6746.14078-2.14078
686.56.181860.318142
697.56.138171.36183
7066.18447-0.184468
7156.27185-1.27185
725.56.14078-0.640778
733.56.09187-2.59187
747.55.963411.53659
756.55.978730.52127
766.56.225550.274453
776.56.05340.446601
7876.205010.794993
793.56.2024-2.7024
801.56.22816-4.72816
8146.16132-2.16132
827.56.138171.36183
834.56.22816-1.72816
8406.13817-6.13817
853.56.28978-2.78978
865.56.2487-0.748697
8756.22816-1.22816
884.56.06872-1.56872
892.56.07394-3.57394
907.56.05341.4466
9176.176640.823363
9206.11502-6.11502
934.56.29761-1.79761
9436.18186-3.18186
951.56.11763-4.61763
963.56.22816-2.72816
972.56.18447-3.68447
985.56.0534-0.553399
9985.899182.10082
10016.02764-5.02764
10156.2487-1.2487
1024.56.22816-1.72816
10335.96602-2.96602
10436.27446-3.27446
10586.135561.86444
1062.56.26924-3.76924
10776.027640.97236
10806.18186-6.18186
10916.11502-5.11502
1103.56.05079-2.55079
1115.56.18447-0.684468
1125.55.85549-0.355492
1130.56.28978-5.78978
1147.56.24871.2513
11596.228162.77184
1169.56.228163.27184
1178.56.15612.3439
11876.184470.815532
11986.140781.85922
120106.184473.81553
12176.269240.730764
1228.56.035472.46453
12396.00712.9929
1249.56.210233.28977
12546.22555-2.22555
12666.25392-0.253917
12786.289781.71022
1285.56.3413-0.841296
1299.56.228163.27184
1307.56.251311.24869
13176.228160.771843
1327.56.184471.31553
13386.179251.82075
13476.289780.710224
13576.166540.833462
13666.22816-0.228157
137106.271853.72815
1382.56.3413-3.8413
13996.161322.83868
14086.271851.72815
14165.91450.0854991
1428.56.187082.31292
14366.18447-0.184468
14496.228162.77184
14586.228161.77184
14696.161322.83868
1475.56.22816-0.728157
14876.228160.771843
1495.56.22816-0.728157
15096.140782.85922
15126.22294-4.22294
1528.56.310322.18968
15396.228162.77184
1548.56.184472.31553
15596.24872.7513
1567.56.269241.23076
157106.336083.66392
15896.184472.81553
1597.56.207621.29238
16066.22816-0.228157
16110.56.228164.27184
1628.56.312932.18707
16386.181861.81814
164106.336083.66392
16510.56.004494.49551
1666.56.184470.315532
1679.56.20243.2976
1688.56.184472.31553
1697.56.158711.34129
17056.2487-1.2487
17186.34131.6587
172106.222943.77706
17376.135560.864442
1747.56.205011.29499
1757.56.205011.29499
1769.56.205013.29499
17766.20762-0.207617
178106.112413.88759
17976.228160.771843
18035.91711-2.91711
18166.09187-0.0918686
18276.086650.913352
183106.205013.79499
18476.269240.730764
1853.56.24348-2.74348
18686.184471.81553
187106.117633.88237
1885.56.15871-0.658708
18966.09448-0.0944788
1906.56.310320.189684
1916.56.222940.277063
1928.56.24872.2513
19346.14078-2.14078
1949.56.225553.27445
19586.00711.9929
1968.56.228162.27184
1975.56.22294-0.722937
19876.24870.751303
19996.135562.86444
20086.269241.73076
201106.187083.81292
20286.246091.75391
20366.2024-0.202397
20486.269241.73076
20555.98917-0.98917
20696.184472.81553
2074.56.295-1.795
2088.56.179252.32075
2099.56.019813.48019
2108.55.917112.58289
2117.56.271851.22815
2127.56.336081.16392
21356.24609-1.24609
21475.878641.12136
21586.097091.90291
2165.56.09709-0.597089
2178.56.225552.27445
2189.56.2953.205
21976.289780.710224
22086.140781.85922
2218.56.205012.29499
2223.56.31815-2.81815
2236.56.24870.251303
2246.56.115020.384982
22510.56.228164.27184
2268.56.091872.40813
22786.166541.83346
228106.184473.81553
229106.318153.68185
2309.56.184473.31553
23196.20242.7976
232106.20243.7976
2337.56.251311.24869
2344.56.20762-1.70762
2354.56.3413-1.8413
2360.56.2487-5.7487
2376.56.025030.474971
2384.56.13817-1.63817
2395.56.20501-0.705007
24056.31815-1.31815
24166.18708-0.187078
24246.25131-2.25131
24386.228161.77184
24410.56.004494.49551
2456.55.989170.51083
24686.20241.7976
2478.56.359232.14077
2485.56.07655-0.576549
24976.161320.838682
25056.20501-1.20501
2513.56.16393-2.66393
25256.14078-1.14078
25396.228162.77184
2548.56.312932.18707
25556.11502-1.11502
2569.56.225553.27445
25736.25131-3.25131
2581.56.16393-4.66393
25966.02764-0.0276396
2600.56.2487-5.7487
2616.56.184470.315532
2627.56.091871.40813
2634.56.22816-1.72816
26486.228161.77184
26596.228162.77184
2667.56.20241.2976
2678.56.140782.35922
26876.228160.771843
2699.56.24873.2513
2706.56.315540.184464
2719.56.264023.23598
27266.50561-0.505613
27386.225551.77445
2749.56.228163.27184
27586.269241.73076
27686.228161.77184
27796.115022.88498
27856.0635-1.0635






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.7838140.4323730.216186
70.7644440.4711120.235556
80.6641020.6717970.335898
90.6152570.7694850.384743
100.6115840.7768320.388416
110.5136890.9726210.486311
120.7084870.5830270.291513
130.6249470.7501070.375053
140.5762210.8475590.423779
150.621550.75690.37845
160.5506860.8986280.449314
170.485820.971640.51418
180.4220980.8441960.577902
190.3792730.7585470.620727
200.3187950.6375890.681205
210.3656220.7312430.634378
220.36450.7290.6355
230.3135010.6270010.686499
240.2720250.544050.727975
250.2462610.4925220.753739
260.2042030.4084050.795797
270.2253750.450750.774625
280.2384730.4769460.761527
290.198740.3974790.80126
300.173220.3464410.82678
310.1771520.3543040.822848
320.1502880.3005760.849712
330.1284210.2568430.871579
340.1211490.2422970.878851
350.09682710.1936540.903173
360.08115560.1623110.918844
370.06898560.1379710.931014
380.06251710.1250340.937483
390.06388640.1277730.936114
400.04927640.09855280.950724
410.1122340.2244670.887766
420.09049080.1809820.909509
430.08087330.1617470.919127
440.06589470.1317890.934105
450.05741070.1148210.942589
460.04646060.09292130.953539
470.03826090.07652190.961739
480.05792860.1158570.942071
490.05825060.1165010.941749
500.04896320.09792640.951037
510.03894440.07788880.961056
520.06966960.1393390.93033
530.05760620.1152120.942394
540.05829120.1165820.941709
550.06322060.1264410.936779
560.05167360.1033470.948326
570.1108150.221630.889185
580.1331850.266370.866815
590.125910.2518190.87409
600.1355090.2710180.864491
610.1238640.2477280.876136
620.1061990.2123980.893801
630.1398270.2796540.860173
640.1953790.3907580.804621
650.1810570.3621140.818943
660.171390.342780.82861
670.1543220.3086450.845678
680.1439140.2878280.856086
690.1487080.2974170.851292
700.1314550.2629090.868545
710.1137840.2275670.886216
720.0972050.194410.902795
730.09032090.1806420.909679
740.08803140.1760630.911969
750.07884240.1576850.921158
760.07268630.1453730.927314
770.06269010.125380.93731
780.05986870.1197370.940131
790.05567270.1113450.944327
800.07664480.153290.923355
810.06882580.1376520.931174
820.06955030.1391010.93045
830.06022180.1204440.939778
840.1300680.2601370.869932
850.1238730.2477460.876127
860.1097860.2195720.890214
870.09595990.191920.90404
880.08503540.1700710.914965
890.09760610.1952120.902394
900.0942330.1884660.905767
910.09363410.1872680.906366
920.1900130.3800260.809987
930.172780.3455610.82722
940.1789870.3579730.821013
950.2367450.4734890.763255
960.2334270.4668550.766573
970.2580160.5160330.741984
980.233360.466720.76664
990.2309790.4619570.769021
1000.3357640.6715290.664236
1010.3144930.6289870.685507
1020.2967860.5935720.703214
1030.3200180.6400360.679982
1040.3345050.669010.665495
1050.3536810.7073620.646319
1060.3887480.7774960.611252
1070.3731140.7462290.626886
1080.5687210.8625570.431279
1090.6975620.6048770.302438
1100.711420.577160.28858
1110.6919760.6160470.308024
1120.6702640.6594720.329736
1130.80720.38560.1928
1140.8130180.3739640.186982
1150.8500370.2999270.149963
1160.891560.216880.10844
1170.9059770.1880460.0940228
1180.8995160.2009680.100484
1190.9011860.1976290.0988143
1200.9348350.1303290.0651646
1210.9312060.1375880.068794
1220.9326060.1347880.0673938
1230.940190.1196190.0598095
1240.9537530.09249340.0462467
1250.9553210.08935740.0446787
1260.9478850.1042290.0521146
1270.951030.09793960.0489698
1280.9441570.1116870.0558433
1290.957230.08553950.0427698
1300.9536610.09267870.0463394
1310.9480760.1038490.0519243
1320.9434790.1130410.0565206
1330.9440840.1118330.0559165
1340.9397530.1204940.0602468
1350.9307160.1385680.0692841
1360.9212290.1575420.0787708
1370.9428650.1142690.0571345
1380.959190.08161930.0408097
1390.9633890.07322270.0366113
1400.9616660.07666860.0383343
1410.9562730.08745360.0437268
1420.9559630.08807430.0440371
1430.9489620.1020750.0510376
1440.9532580.09348480.0467424
1450.950320.09935920.0496796
1460.9540740.09185260.0459263
1470.9479840.1040320.0520158
1480.940370.119260.0596301
1490.9329820.1340360.0670182
1500.9366560.1266880.0633438
1510.9642790.07144160.0357208
1520.965610.06877980.0343899
1530.9677560.06448780.0322439
1540.966980.06603970.0330198
1550.9689930.06201330.0310067
1560.9650950.06980960.0349048
1570.9732420.05351690.0267584
1580.9744850.05102940.0255147
1590.9702770.05944570.0297229
1600.964840.07031970.0351598
1610.9763160.04736830.0236842
1620.975290.04942020.0247101
1630.9726120.05477520.0273876
1640.9784650.04307040.0215352
1650.9858760.02824710.0141235
1660.9825730.03485330.0174266
1670.9846790.03064210.0153211
1680.9837420.03251650.0162583
1690.9808480.03830430.0191521
1700.9789670.04206650.0210333
1710.9761030.04779440.0238972
1720.9808250.0383490.0191745
1730.9770090.04598190.022991
1740.9727730.05445450.0272273
1750.9678780.06424430.0321221
1760.9710860.05782870.0289143
1770.9650510.06989890.0349494
1780.9713870.05722660.0286133
1790.9653190.06936240.0346812
1800.9750220.04995580.0249779
1810.9708420.05831540.0291577
1820.9662160.0675680.033784
1830.9726150.05476920.0273846
1840.9666990.06660120.0333006
1850.9751540.04969150.0248457
1860.971580.05683990.0284199
1870.9771950.04560960.0228048
1880.9742870.05142650.0257133
1890.9693880.0612230.0306115
1900.9636840.07263130.0363157
1910.9572340.08553130.0427656
1920.9534960.09300870.0465043
1930.9557270.08854550.0442727
1940.9581980.08360420.0418021
1950.951930.09613950.0480698
1960.948340.103320.0516599
1970.9440170.1119670.0559833
1980.9327320.1345360.0672681
1990.9291230.1417540.0708768
2000.9187450.162510.0812549
2010.9371870.1256250.0628127
2020.9272060.1455890.0727943
2030.9165030.1669940.0834968
2040.9043360.1913290.0956643
2050.8929470.2141070.107053
2060.893150.21370.10685
2070.8866660.2266680.113334
2080.8743090.2513810.125691
2090.8688250.2623490.131175
2100.8562620.2874750.143738
2110.8351620.3296760.164838
2120.8111590.3776820.188841
2130.8034630.3930750.196537
2140.7754090.4491810.224591
2150.7552420.4895160.244758
2160.7271760.5456470.272824
2170.7074150.5851710.292585
2180.7252440.5495110.274756
2190.6898410.6203180.310159
2200.665120.6697610.33488
2210.6467770.7064450.353223
2220.6583120.6833760.341688
2230.618230.7635410.38177
2240.578320.843360.42168
2250.6404670.7190660.359533
2260.6140970.7718060.385903
2270.5994530.8010940.400547
2280.6456380.7087250.354362
2290.7081880.5836250.291812
2300.7369230.5261540.263077
2310.7258430.5483140.274157
2320.7500140.4999720.249986
2330.7256480.5487040.274352
2340.6980630.6038750.301937
2350.664630.670740.33537
2360.8551080.2897840.144892
2370.8274790.3450420.172521
2380.822780.354440.17722
2390.7951360.4097280.204864
2400.7645750.470850.235425
2410.7218030.5563940.278197
2420.7187750.5624510.281225
2430.6876140.6247720.312386
2440.7515820.4968350.248418
2450.7132850.5734310.286715
2460.6737160.6525680.326284
2470.6406640.7186730.359336
2480.5858130.8283730.414187
2490.5310210.9379590.468979
2500.4941470.9882930.505853
2510.5043140.9913730.495686
2520.4637320.9274640.536268
2530.4523520.9047030.547648
2540.411550.8230990.58845
2550.3798860.7597710.620114
2560.3845740.7691490.615426
2570.4453670.8907330.554633
2580.7138060.5723870.286194
2590.6698040.6603910.330196
2600.9869960.02600870.0130043
2610.983540.03292070.0164603
2620.9716570.05668620.0283431
2630.9952520.009495670.00474783
2640.9905840.0188310.0094155
2650.9825430.03491330.0174567
2660.9666170.06676610.0333831
2670.9384840.1230330.0615163
2680.9227530.1544940.0772468
2690.887360.2252810.11264
2700.8890430.2219140.110957
2710.984080.031840.01592
2720.9564110.0871770.0435885

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
6 & 0.783814 & 0.432373 & 0.216186 \tabularnewline
7 & 0.764444 & 0.471112 & 0.235556 \tabularnewline
8 & 0.664102 & 0.671797 & 0.335898 \tabularnewline
9 & 0.615257 & 0.769485 & 0.384743 \tabularnewline
10 & 0.611584 & 0.776832 & 0.388416 \tabularnewline
11 & 0.513689 & 0.972621 & 0.486311 \tabularnewline
12 & 0.708487 & 0.583027 & 0.291513 \tabularnewline
13 & 0.624947 & 0.750107 & 0.375053 \tabularnewline
14 & 0.576221 & 0.847559 & 0.423779 \tabularnewline
15 & 0.62155 & 0.7569 & 0.37845 \tabularnewline
16 & 0.550686 & 0.898628 & 0.449314 \tabularnewline
17 & 0.48582 & 0.97164 & 0.51418 \tabularnewline
18 & 0.422098 & 0.844196 & 0.577902 \tabularnewline
19 & 0.379273 & 0.758547 & 0.620727 \tabularnewline
20 & 0.318795 & 0.637589 & 0.681205 \tabularnewline
21 & 0.365622 & 0.731243 & 0.634378 \tabularnewline
22 & 0.3645 & 0.729 & 0.6355 \tabularnewline
23 & 0.313501 & 0.627001 & 0.686499 \tabularnewline
24 & 0.272025 & 0.54405 & 0.727975 \tabularnewline
25 & 0.246261 & 0.492522 & 0.753739 \tabularnewline
26 & 0.204203 & 0.408405 & 0.795797 \tabularnewline
27 & 0.225375 & 0.45075 & 0.774625 \tabularnewline
28 & 0.238473 & 0.476946 & 0.761527 \tabularnewline
29 & 0.19874 & 0.397479 & 0.80126 \tabularnewline
30 & 0.17322 & 0.346441 & 0.82678 \tabularnewline
31 & 0.177152 & 0.354304 & 0.822848 \tabularnewline
32 & 0.150288 & 0.300576 & 0.849712 \tabularnewline
33 & 0.128421 & 0.256843 & 0.871579 \tabularnewline
34 & 0.121149 & 0.242297 & 0.878851 \tabularnewline
35 & 0.0968271 & 0.193654 & 0.903173 \tabularnewline
36 & 0.0811556 & 0.162311 & 0.918844 \tabularnewline
37 & 0.0689856 & 0.137971 & 0.931014 \tabularnewline
38 & 0.0625171 & 0.125034 & 0.937483 \tabularnewline
39 & 0.0638864 & 0.127773 & 0.936114 \tabularnewline
40 & 0.0492764 & 0.0985528 & 0.950724 \tabularnewline
41 & 0.112234 & 0.224467 & 0.887766 \tabularnewline
42 & 0.0904908 & 0.180982 & 0.909509 \tabularnewline
43 & 0.0808733 & 0.161747 & 0.919127 \tabularnewline
44 & 0.0658947 & 0.131789 & 0.934105 \tabularnewline
45 & 0.0574107 & 0.114821 & 0.942589 \tabularnewline
46 & 0.0464606 & 0.0929213 & 0.953539 \tabularnewline
47 & 0.0382609 & 0.0765219 & 0.961739 \tabularnewline
48 & 0.0579286 & 0.115857 & 0.942071 \tabularnewline
49 & 0.0582506 & 0.116501 & 0.941749 \tabularnewline
50 & 0.0489632 & 0.0979264 & 0.951037 \tabularnewline
51 & 0.0389444 & 0.0778888 & 0.961056 \tabularnewline
52 & 0.0696696 & 0.139339 & 0.93033 \tabularnewline
53 & 0.0576062 & 0.115212 & 0.942394 \tabularnewline
54 & 0.0582912 & 0.116582 & 0.941709 \tabularnewline
55 & 0.0632206 & 0.126441 & 0.936779 \tabularnewline
56 & 0.0516736 & 0.103347 & 0.948326 \tabularnewline
57 & 0.110815 & 0.22163 & 0.889185 \tabularnewline
58 & 0.133185 & 0.26637 & 0.866815 \tabularnewline
59 & 0.12591 & 0.251819 & 0.87409 \tabularnewline
60 & 0.135509 & 0.271018 & 0.864491 \tabularnewline
61 & 0.123864 & 0.247728 & 0.876136 \tabularnewline
62 & 0.106199 & 0.212398 & 0.893801 \tabularnewline
63 & 0.139827 & 0.279654 & 0.860173 \tabularnewline
64 & 0.195379 & 0.390758 & 0.804621 \tabularnewline
65 & 0.181057 & 0.362114 & 0.818943 \tabularnewline
66 & 0.17139 & 0.34278 & 0.82861 \tabularnewline
67 & 0.154322 & 0.308645 & 0.845678 \tabularnewline
68 & 0.143914 & 0.287828 & 0.856086 \tabularnewline
69 & 0.148708 & 0.297417 & 0.851292 \tabularnewline
70 & 0.131455 & 0.262909 & 0.868545 \tabularnewline
71 & 0.113784 & 0.227567 & 0.886216 \tabularnewline
72 & 0.097205 & 0.19441 & 0.902795 \tabularnewline
73 & 0.0903209 & 0.180642 & 0.909679 \tabularnewline
74 & 0.0880314 & 0.176063 & 0.911969 \tabularnewline
75 & 0.0788424 & 0.157685 & 0.921158 \tabularnewline
76 & 0.0726863 & 0.145373 & 0.927314 \tabularnewline
77 & 0.0626901 & 0.12538 & 0.93731 \tabularnewline
78 & 0.0598687 & 0.119737 & 0.940131 \tabularnewline
79 & 0.0556727 & 0.111345 & 0.944327 \tabularnewline
80 & 0.0766448 & 0.15329 & 0.923355 \tabularnewline
81 & 0.0688258 & 0.137652 & 0.931174 \tabularnewline
82 & 0.0695503 & 0.139101 & 0.93045 \tabularnewline
83 & 0.0602218 & 0.120444 & 0.939778 \tabularnewline
84 & 0.130068 & 0.260137 & 0.869932 \tabularnewline
85 & 0.123873 & 0.247746 & 0.876127 \tabularnewline
86 & 0.109786 & 0.219572 & 0.890214 \tabularnewline
87 & 0.0959599 & 0.19192 & 0.90404 \tabularnewline
88 & 0.0850354 & 0.170071 & 0.914965 \tabularnewline
89 & 0.0976061 & 0.195212 & 0.902394 \tabularnewline
90 & 0.094233 & 0.188466 & 0.905767 \tabularnewline
91 & 0.0936341 & 0.187268 & 0.906366 \tabularnewline
92 & 0.190013 & 0.380026 & 0.809987 \tabularnewline
93 & 0.17278 & 0.345561 & 0.82722 \tabularnewline
94 & 0.178987 & 0.357973 & 0.821013 \tabularnewline
95 & 0.236745 & 0.473489 & 0.763255 \tabularnewline
96 & 0.233427 & 0.466855 & 0.766573 \tabularnewline
97 & 0.258016 & 0.516033 & 0.741984 \tabularnewline
98 & 0.23336 & 0.46672 & 0.76664 \tabularnewline
99 & 0.230979 & 0.461957 & 0.769021 \tabularnewline
100 & 0.335764 & 0.671529 & 0.664236 \tabularnewline
101 & 0.314493 & 0.628987 & 0.685507 \tabularnewline
102 & 0.296786 & 0.593572 & 0.703214 \tabularnewline
103 & 0.320018 & 0.640036 & 0.679982 \tabularnewline
104 & 0.334505 & 0.66901 & 0.665495 \tabularnewline
105 & 0.353681 & 0.707362 & 0.646319 \tabularnewline
106 & 0.388748 & 0.777496 & 0.611252 \tabularnewline
107 & 0.373114 & 0.746229 & 0.626886 \tabularnewline
108 & 0.568721 & 0.862557 & 0.431279 \tabularnewline
109 & 0.697562 & 0.604877 & 0.302438 \tabularnewline
110 & 0.71142 & 0.57716 & 0.28858 \tabularnewline
111 & 0.691976 & 0.616047 & 0.308024 \tabularnewline
112 & 0.670264 & 0.659472 & 0.329736 \tabularnewline
113 & 0.8072 & 0.3856 & 0.1928 \tabularnewline
114 & 0.813018 & 0.373964 & 0.186982 \tabularnewline
115 & 0.850037 & 0.299927 & 0.149963 \tabularnewline
116 & 0.89156 & 0.21688 & 0.10844 \tabularnewline
117 & 0.905977 & 0.188046 & 0.0940228 \tabularnewline
118 & 0.899516 & 0.200968 & 0.100484 \tabularnewline
119 & 0.901186 & 0.197629 & 0.0988143 \tabularnewline
120 & 0.934835 & 0.130329 & 0.0651646 \tabularnewline
121 & 0.931206 & 0.137588 & 0.068794 \tabularnewline
122 & 0.932606 & 0.134788 & 0.0673938 \tabularnewline
123 & 0.94019 & 0.119619 & 0.0598095 \tabularnewline
124 & 0.953753 & 0.0924934 & 0.0462467 \tabularnewline
125 & 0.955321 & 0.0893574 & 0.0446787 \tabularnewline
126 & 0.947885 & 0.104229 & 0.0521146 \tabularnewline
127 & 0.95103 & 0.0979396 & 0.0489698 \tabularnewline
128 & 0.944157 & 0.111687 & 0.0558433 \tabularnewline
129 & 0.95723 & 0.0855395 & 0.0427698 \tabularnewline
130 & 0.953661 & 0.0926787 & 0.0463394 \tabularnewline
131 & 0.948076 & 0.103849 & 0.0519243 \tabularnewline
132 & 0.943479 & 0.113041 & 0.0565206 \tabularnewline
133 & 0.944084 & 0.111833 & 0.0559165 \tabularnewline
134 & 0.939753 & 0.120494 & 0.0602468 \tabularnewline
135 & 0.930716 & 0.138568 & 0.0692841 \tabularnewline
136 & 0.921229 & 0.157542 & 0.0787708 \tabularnewline
137 & 0.942865 & 0.114269 & 0.0571345 \tabularnewline
138 & 0.95919 & 0.0816193 & 0.0408097 \tabularnewline
139 & 0.963389 & 0.0732227 & 0.0366113 \tabularnewline
140 & 0.961666 & 0.0766686 & 0.0383343 \tabularnewline
141 & 0.956273 & 0.0874536 & 0.0437268 \tabularnewline
142 & 0.955963 & 0.0880743 & 0.0440371 \tabularnewline
143 & 0.948962 & 0.102075 & 0.0510376 \tabularnewline
144 & 0.953258 & 0.0934848 & 0.0467424 \tabularnewline
145 & 0.95032 & 0.0993592 & 0.0496796 \tabularnewline
146 & 0.954074 & 0.0918526 & 0.0459263 \tabularnewline
147 & 0.947984 & 0.104032 & 0.0520158 \tabularnewline
148 & 0.94037 & 0.11926 & 0.0596301 \tabularnewline
149 & 0.932982 & 0.134036 & 0.0670182 \tabularnewline
150 & 0.936656 & 0.126688 & 0.0633438 \tabularnewline
151 & 0.964279 & 0.0714416 & 0.0357208 \tabularnewline
152 & 0.96561 & 0.0687798 & 0.0343899 \tabularnewline
153 & 0.967756 & 0.0644878 & 0.0322439 \tabularnewline
154 & 0.96698 & 0.0660397 & 0.0330198 \tabularnewline
155 & 0.968993 & 0.0620133 & 0.0310067 \tabularnewline
156 & 0.965095 & 0.0698096 & 0.0349048 \tabularnewline
157 & 0.973242 & 0.0535169 & 0.0267584 \tabularnewline
158 & 0.974485 & 0.0510294 & 0.0255147 \tabularnewline
159 & 0.970277 & 0.0594457 & 0.0297229 \tabularnewline
160 & 0.96484 & 0.0703197 & 0.0351598 \tabularnewline
161 & 0.976316 & 0.0473683 & 0.0236842 \tabularnewline
162 & 0.97529 & 0.0494202 & 0.0247101 \tabularnewline
163 & 0.972612 & 0.0547752 & 0.0273876 \tabularnewline
164 & 0.978465 & 0.0430704 & 0.0215352 \tabularnewline
165 & 0.985876 & 0.0282471 & 0.0141235 \tabularnewline
166 & 0.982573 & 0.0348533 & 0.0174266 \tabularnewline
167 & 0.984679 & 0.0306421 & 0.0153211 \tabularnewline
168 & 0.983742 & 0.0325165 & 0.0162583 \tabularnewline
169 & 0.980848 & 0.0383043 & 0.0191521 \tabularnewline
170 & 0.978967 & 0.0420665 & 0.0210333 \tabularnewline
171 & 0.976103 & 0.0477944 & 0.0238972 \tabularnewline
172 & 0.980825 & 0.038349 & 0.0191745 \tabularnewline
173 & 0.977009 & 0.0459819 & 0.022991 \tabularnewline
174 & 0.972773 & 0.0544545 & 0.0272273 \tabularnewline
175 & 0.967878 & 0.0642443 & 0.0321221 \tabularnewline
176 & 0.971086 & 0.0578287 & 0.0289143 \tabularnewline
177 & 0.965051 & 0.0698989 & 0.0349494 \tabularnewline
178 & 0.971387 & 0.0572266 & 0.0286133 \tabularnewline
179 & 0.965319 & 0.0693624 & 0.0346812 \tabularnewline
180 & 0.975022 & 0.0499558 & 0.0249779 \tabularnewline
181 & 0.970842 & 0.0583154 & 0.0291577 \tabularnewline
182 & 0.966216 & 0.067568 & 0.033784 \tabularnewline
183 & 0.972615 & 0.0547692 & 0.0273846 \tabularnewline
184 & 0.966699 & 0.0666012 & 0.0333006 \tabularnewline
185 & 0.975154 & 0.0496915 & 0.0248457 \tabularnewline
186 & 0.97158 & 0.0568399 & 0.0284199 \tabularnewline
187 & 0.977195 & 0.0456096 & 0.0228048 \tabularnewline
188 & 0.974287 & 0.0514265 & 0.0257133 \tabularnewline
189 & 0.969388 & 0.061223 & 0.0306115 \tabularnewline
190 & 0.963684 & 0.0726313 & 0.0363157 \tabularnewline
191 & 0.957234 & 0.0855313 & 0.0427656 \tabularnewline
192 & 0.953496 & 0.0930087 & 0.0465043 \tabularnewline
193 & 0.955727 & 0.0885455 & 0.0442727 \tabularnewline
194 & 0.958198 & 0.0836042 & 0.0418021 \tabularnewline
195 & 0.95193 & 0.0961395 & 0.0480698 \tabularnewline
196 & 0.94834 & 0.10332 & 0.0516599 \tabularnewline
197 & 0.944017 & 0.111967 & 0.0559833 \tabularnewline
198 & 0.932732 & 0.134536 & 0.0672681 \tabularnewline
199 & 0.929123 & 0.141754 & 0.0708768 \tabularnewline
200 & 0.918745 & 0.16251 & 0.0812549 \tabularnewline
201 & 0.937187 & 0.125625 & 0.0628127 \tabularnewline
202 & 0.927206 & 0.145589 & 0.0727943 \tabularnewline
203 & 0.916503 & 0.166994 & 0.0834968 \tabularnewline
204 & 0.904336 & 0.191329 & 0.0956643 \tabularnewline
205 & 0.892947 & 0.214107 & 0.107053 \tabularnewline
206 & 0.89315 & 0.2137 & 0.10685 \tabularnewline
207 & 0.886666 & 0.226668 & 0.113334 \tabularnewline
208 & 0.874309 & 0.251381 & 0.125691 \tabularnewline
209 & 0.868825 & 0.262349 & 0.131175 \tabularnewline
210 & 0.856262 & 0.287475 & 0.143738 \tabularnewline
211 & 0.835162 & 0.329676 & 0.164838 \tabularnewline
212 & 0.811159 & 0.377682 & 0.188841 \tabularnewline
213 & 0.803463 & 0.393075 & 0.196537 \tabularnewline
214 & 0.775409 & 0.449181 & 0.224591 \tabularnewline
215 & 0.755242 & 0.489516 & 0.244758 \tabularnewline
216 & 0.727176 & 0.545647 & 0.272824 \tabularnewline
217 & 0.707415 & 0.585171 & 0.292585 \tabularnewline
218 & 0.725244 & 0.549511 & 0.274756 \tabularnewline
219 & 0.689841 & 0.620318 & 0.310159 \tabularnewline
220 & 0.66512 & 0.669761 & 0.33488 \tabularnewline
221 & 0.646777 & 0.706445 & 0.353223 \tabularnewline
222 & 0.658312 & 0.683376 & 0.341688 \tabularnewline
223 & 0.61823 & 0.763541 & 0.38177 \tabularnewline
224 & 0.57832 & 0.84336 & 0.42168 \tabularnewline
225 & 0.640467 & 0.719066 & 0.359533 \tabularnewline
226 & 0.614097 & 0.771806 & 0.385903 \tabularnewline
227 & 0.599453 & 0.801094 & 0.400547 \tabularnewline
228 & 0.645638 & 0.708725 & 0.354362 \tabularnewline
229 & 0.708188 & 0.583625 & 0.291812 \tabularnewline
230 & 0.736923 & 0.526154 & 0.263077 \tabularnewline
231 & 0.725843 & 0.548314 & 0.274157 \tabularnewline
232 & 0.750014 & 0.499972 & 0.249986 \tabularnewline
233 & 0.725648 & 0.548704 & 0.274352 \tabularnewline
234 & 0.698063 & 0.603875 & 0.301937 \tabularnewline
235 & 0.66463 & 0.67074 & 0.33537 \tabularnewline
236 & 0.855108 & 0.289784 & 0.144892 \tabularnewline
237 & 0.827479 & 0.345042 & 0.172521 \tabularnewline
238 & 0.82278 & 0.35444 & 0.17722 \tabularnewline
239 & 0.795136 & 0.409728 & 0.204864 \tabularnewline
240 & 0.764575 & 0.47085 & 0.235425 \tabularnewline
241 & 0.721803 & 0.556394 & 0.278197 \tabularnewline
242 & 0.718775 & 0.562451 & 0.281225 \tabularnewline
243 & 0.687614 & 0.624772 & 0.312386 \tabularnewline
244 & 0.751582 & 0.496835 & 0.248418 \tabularnewline
245 & 0.713285 & 0.573431 & 0.286715 \tabularnewline
246 & 0.673716 & 0.652568 & 0.326284 \tabularnewline
247 & 0.640664 & 0.718673 & 0.359336 \tabularnewline
248 & 0.585813 & 0.828373 & 0.414187 \tabularnewline
249 & 0.531021 & 0.937959 & 0.468979 \tabularnewline
250 & 0.494147 & 0.988293 & 0.505853 \tabularnewline
251 & 0.504314 & 0.991373 & 0.495686 \tabularnewline
252 & 0.463732 & 0.927464 & 0.536268 \tabularnewline
253 & 0.452352 & 0.904703 & 0.547648 \tabularnewline
254 & 0.41155 & 0.823099 & 0.58845 \tabularnewline
255 & 0.379886 & 0.759771 & 0.620114 \tabularnewline
256 & 0.384574 & 0.769149 & 0.615426 \tabularnewline
257 & 0.445367 & 0.890733 & 0.554633 \tabularnewline
258 & 0.713806 & 0.572387 & 0.286194 \tabularnewline
259 & 0.669804 & 0.660391 & 0.330196 \tabularnewline
260 & 0.986996 & 0.0260087 & 0.0130043 \tabularnewline
261 & 0.98354 & 0.0329207 & 0.0164603 \tabularnewline
262 & 0.971657 & 0.0566862 & 0.0283431 \tabularnewline
263 & 0.995252 & 0.00949567 & 0.00474783 \tabularnewline
264 & 0.990584 & 0.018831 & 0.0094155 \tabularnewline
265 & 0.982543 & 0.0349133 & 0.0174567 \tabularnewline
266 & 0.966617 & 0.0667661 & 0.0333831 \tabularnewline
267 & 0.938484 & 0.123033 & 0.0615163 \tabularnewline
268 & 0.922753 & 0.154494 & 0.0772468 \tabularnewline
269 & 0.88736 & 0.225281 & 0.11264 \tabularnewline
270 & 0.889043 & 0.221914 & 0.110957 \tabularnewline
271 & 0.98408 & 0.03184 & 0.01592 \tabularnewline
272 & 0.956411 & 0.087177 & 0.0435885 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267576&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]6[/C][C]0.783814[/C][C]0.432373[/C][C]0.216186[/C][/ROW]
[ROW][C]7[/C][C]0.764444[/C][C]0.471112[/C][C]0.235556[/C][/ROW]
[ROW][C]8[/C][C]0.664102[/C][C]0.671797[/C][C]0.335898[/C][/ROW]
[ROW][C]9[/C][C]0.615257[/C][C]0.769485[/C][C]0.384743[/C][/ROW]
[ROW][C]10[/C][C]0.611584[/C][C]0.776832[/C][C]0.388416[/C][/ROW]
[ROW][C]11[/C][C]0.513689[/C][C]0.972621[/C][C]0.486311[/C][/ROW]
[ROW][C]12[/C][C]0.708487[/C][C]0.583027[/C][C]0.291513[/C][/ROW]
[ROW][C]13[/C][C]0.624947[/C][C]0.750107[/C][C]0.375053[/C][/ROW]
[ROW][C]14[/C][C]0.576221[/C][C]0.847559[/C][C]0.423779[/C][/ROW]
[ROW][C]15[/C][C]0.62155[/C][C]0.7569[/C][C]0.37845[/C][/ROW]
[ROW][C]16[/C][C]0.550686[/C][C]0.898628[/C][C]0.449314[/C][/ROW]
[ROW][C]17[/C][C]0.48582[/C][C]0.97164[/C][C]0.51418[/C][/ROW]
[ROW][C]18[/C][C]0.422098[/C][C]0.844196[/C][C]0.577902[/C][/ROW]
[ROW][C]19[/C][C]0.379273[/C][C]0.758547[/C][C]0.620727[/C][/ROW]
[ROW][C]20[/C][C]0.318795[/C][C]0.637589[/C][C]0.681205[/C][/ROW]
[ROW][C]21[/C][C]0.365622[/C][C]0.731243[/C][C]0.634378[/C][/ROW]
[ROW][C]22[/C][C]0.3645[/C][C]0.729[/C][C]0.6355[/C][/ROW]
[ROW][C]23[/C][C]0.313501[/C][C]0.627001[/C][C]0.686499[/C][/ROW]
[ROW][C]24[/C][C]0.272025[/C][C]0.54405[/C][C]0.727975[/C][/ROW]
[ROW][C]25[/C][C]0.246261[/C][C]0.492522[/C][C]0.753739[/C][/ROW]
[ROW][C]26[/C][C]0.204203[/C][C]0.408405[/C][C]0.795797[/C][/ROW]
[ROW][C]27[/C][C]0.225375[/C][C]0.45075[/C][C]0.774625[/C][/ROW]
[ROW][C]28[/C][C]0.238473[/C][C]0.476946[/C][C]0.761527[/C][/ROW]
[ROW][C]29[/C][C]0.19874[/C][C]0.397479[/C][C]0.80126[/C][/ROW]
[ROW][C]30[/C][C]0.17322[/C][C]0.346441[/C][C]0.82678[/C][/ROW]
[ROW][C]31[/C][C]0.177152[/C][C]0.354304[/C][C]0.822848[/C][/ROW]
[ROW][C]32[/C][C]0.150288[/C][C]0.300576[/C][C]0.849712[/C][/ROW]
[ROW][C]33[/C][C]0.128421[/C][C]0.256843[/C][C]0.871579[/C][/ROW]
[ROW][C]34[/C][C]0.121149[/C][C]0.242297[/C][C]0.878851[/C][/ROW]
[ROW][C]35[/C][C]0.0968271[/C][C]0.193654[/C][C]0.903173[/C][/ROW]
[ROW][C]36[/C][C]0.0811556[/C][C]0.162311[/C][C]0.918844[/C][/ROW]
[ROW][C]37[/C][C]0.0689856[/C][C]0.137971[/C][C]0.931014[/C][/ROW]
[ROW][C]38[/C][C]0.0625171[/C][C]0.125034[/C][C]0.937483[/C][/ROW]
[ROW][C]39[/C][C]0.0638864[/C][C]0.127773[/C][C]0.936114[/C][/ROW]
[ROW][C]40[/C][C]0.0492764[/C][C]0.0985528[/C][C]0.950724[/C][/ROW]
[ROW][C]41[/C][C]0.112234[/C][C]0.224467[/C][C]0.887766[/C][/ROW]
[ROW][C]42[/C][C]0.0904908[/C][C]0.180982[/C][C]0.909509[/C][/ROW]
[ROW][C]43[/C][C]0.0808733[/C][C]0.161747[/C][C]0.919127[/C][/ROW]
[ROW][C]44[/C][C]0.0658947[/C][C]0.131789[/C][C]0.934105[/C][/ROW]
[ROW][C]45[/C][C]0.0574107[/C][C]0.114821[/C][C]0.942589[/C][/ROW]
[ROW][C]46[/C][C]0.0464606[/C][C]0.0929213[/C][C]0.953539[/C][/ROW]
[ROW][C]47[/C][C]0.0382609[/C][C]0.0765219[/C][C]0.961739[/C][/ROW]
[ROW][C]48[/C][C]0.0579286[/C][C]0.115857[/C][C]0.942071[/C][/ROW]
[ROW][C]49[/C][C]0.0582506[/C][C]0.116501[/C][C]0.941749[/C][/ROW]
[ROW][C]50[/C][C]0.0489632[/C][C]0.0979264[/C][C]0.951037[/C][/ROW]
[ROW][C]51[/C][C]0.0389444[/C][C]0.0778888[/C][C]0.961056[/C][/ROW]
[ROW][C]52[/C][C]0.0696696[/C][C]0.139339[/C][C]0.93033[/C][/ROW]
[ROW][C]53[/C][C]0.0576062[/C][C]0.115212[/C][C]0.942394[/C][/ROW]
[ROW][C]54[/C][C]0.0582912[/C][C]0.116582[/C][C]0.941709[/C][/ROW]
[ROW][C]55[/C][C]0.0632206[/C][C]0.126441[/C][C]0.936779[/C][/ROW]
[ROW][C]56[/C][C]0.0516736[/C][C]0.103347[/C][C]0.948326[/C][/ROW]
[ROW][C]57[/C][C]0.110815[/C][C]0.22163[/C][C]0.889185[/C][/ROW]
[ROW][C]58[/C][C]0.133185[/C][C]0.26637[/C][C]0.866815[/C][/ROW]
[ROW][C]59[/C][C]0.12591[/C][C]0.251819[/C][C]0.87409[/C][/ROW]
[ROW][C]60[/C][C]0.135509[/C][C]0.271018[/C][C]0.864491[/C][/ROW]
[ROW][C]61[/C][C]0.123864[/C][C]0.247728[/C][C]0.876136[/C][/ROW]
[ROW][C]62[/C][C]0.106199[/C][C]0.212398[/C][C]0.893801[/C][/ROW]
[ROW][C]63[/C][C]0.139827[/C][C]0.279654[/C][C]0.860173[/C][/ROW]
[ROW][C]64[/C][C]0.195379[/C][C]0.390758[/C][C]0.804621[/C][/ROW]
[ROW][C]65[/C][C]0.181057[/C][C]0.362114[/C][C]0.818943[/C][/ROW]
[ROW][C]66[/C][C]0.17139[/C][C]0.34278[/C][C]0.82861[/C][/ROW]
[ROW][C]67[/C][C]0.154322[/C][C]0.308645[/C][C]0.845678[/C][/ROW]
[ROW][C]68[/C][C]0.143914[/C][C]0.287828[/C][C]0.856086[/C][/ROW]
[ROW][C]69[/C][C]0.148708[/C][C]0.297417[/C][C]0.851292[/C][/ROW]
[ROW][C]70[/C][C]0.131455[/C][C]0.262909[/C][C]0.868545[/C][/ROW]
[ROW][C]71[/C][C]0.113784[/C][C]0.227567[/C][C]0.886216[/C][/ROW]
[ROW][C]72[/C][C]0.097205[/C][C]0.19441[/C][C]0.902795[/C][/ROW]
[ROW][C]73[/C][C]0.0903209[/C][C]0.180642[/C][C]0.909679[/C][/ROW]
[ROW][C]74[/C][C]0.0880314[/C][C]0.176063[/C][C]0.911969[/C][/ROW]
[ROW][C]75[/C][C]0.0788424[/C][C]0.157685[/C][C]0.921158[/C][/ROW]
[ROW][C]76[/C][C]0.0726863[/C][C]0.145373[/C][C]0.927314[/C][/ROW]
[ROW][C]77[/C][C]0.0626901[/C][C]0.12538[/C][C]0.93731[/C][/ROW]
[ROW][C]78[/C][C]0.0598687[/C][C]0.119737[/C][C]0.940131[/C][/ROW]
[ROW][C]79[/C][C]0.0556727[/C][C]0.111345[/C][C]0.944327[/C][/ROW]
[ROW][C]80[/C][C]0.0766448[/C][C]0.15329[/C][C]0.923355[/C][/ROW]
[ROW][C]81[/C][C]0.0688258[/C][C]0.137652[/C][C]0.931174[/C][/ROW]
[ROW][C]82[/C][C]0.0695503[/C][C]0.139101[/C][C]0.93045[/C][/ROW]
[ROW][C]83[/C][C]0.0602218[/C][C]0.120444[/C][C]0.939778[/C][/ROW]
[ROW][C]84[/C][C]0.130068[/C][C]0.260137[/C][C]0.869932[/C][/ROW]
[ROW][C]85[/C][C]0.123873[/C][C]0.247746[/C][C]0.876127[/C][/ROW]
[ROW][C]86[/C][C]0.109786[/C][C]0.219572[/C][C]0.890214[/C][/ROW]
[ROW][C]87[/C][C]0.0959599[/C][C]0.19192[/C][C]0.90404[/C][/ROW]
[ROW][C]88[/C][C]0.0850354[/C][C]0.170071[/C][C]0.914965[/C][/ROW]
[ROW][C]89[/C][C]0.0976061[/C][C]0.195212[/C][C]0.902394[/C][/ROW]
[ROW][C]90[/C][C]0.094233[/C][C]0.188466[/C][C]0.905767[/C][/ROW]
[ROW][C]91[/C][C]0.0936341[/C][C]0.187268[/C][C]0.906366[/C][/ROW]
[ROW][C]92[/C][C]0.190013[/C][C]0.380026[/C][C]0.809987[/C][/ROW]
[ROW][C]93[/C][C]0.17278[/C][C]0.345561[/C][C]0.82722[/C][/ROW]
[ROW][C]94[/C][C]0.178987[/C][C]0.357973[/C][C]0.821013[/C][/ROW]
[ROW][C]95[/C][C]0.236745[/C][C]0.473489[/C][C]0.763255[/C][/ROW]
[ROW][C]96[/C][C]0.233427[/C][C]0.466855[/C][C]0.766573[/C][/ROW]
[ROW][C]97[/C][C]0.258016[/C][C]0.516033[/C][C]0.741984[/C][/ROW]
[ROW][C]98[/C][C]0.23336[/C][C]0.46672[/C][C]0.76664[/C][/ROW]
[ROW][C]99[/C][C]0.230979[/C][C]0.461957[/C][C]0.769021[/C][/ROW]
[ROW][C]100[/C][C]0.335764[/C][C]0.671529[/C][C]0.664236[/C][/ROW]
[ROW][C]101[/C][C]0.314493[/C][C]0.628987[/C][C]0.685507[/C][/ROW]
[ROW][C]102[/C][C]0.296786[/C][C]0.593572[/C][C]0.703214[/C][/ROW]
[ROW][C]103[/C][C]0.320018[/C][C]0.640036[/C][C]0.679982[/C][/ROW]
[ROW][C]104[/C][C]0.334505[/C][C]0.66901[/C][C]0.665495[/C][/ROW]
[ROW][C]105[/C][C]0.353681[/C][C]0.707362[/C][C]0.646319[/C][/ROW]
[ROW][C]106[/C][C]0.388748[/C][C]0.777496[/C][C]0.611252[/C][/ROW]
[ROW][C]107[/C][C]0.373114[/C][C]0.746229[/C][C]0.626886[/C][/ROW]
[ROW][C]108[/C][C]0.568721[/C][C]0.862557[/C][C]0.431279[/C][/ROW]
[ROW][C]109[/C][C]0.697562[/C][C]0.604877[/C][C]0.302438[/C][/ROW]
[ROW][C]110[/C][C]0.71142[/C][C]0.57716[/C][C]0.28858[/C][/ROW]
[ROW][C]111[/C][C]0.691976[/C][C]0.616047[/C][C]0.308024[/C][/ROW]
[ROW][C]112[/C][C]0.670264[/C][C]0.659472[/C][C]0.329736[/C][/ROW]
[ROW][C]113[/C][C]0.8072[/C][C]0.3856[/C][C]0.1928[/C][/ROW]
[ROW][C]114[/C][C]0.813018[/C][C]0.373964[/C][C]0.186982[/C][/ROW]
[ROW][C]115[/C][C]0.850037[/C][C]0.299927[/C][C]0.149963[/C][/ROW]
[ROW][C]116[/C][C]0.89156[/C][C]0.21688[/C][C]0.10844[/C][/ROW]
[ROW][C]117[/C][C]0.905977[/C][C]0.188046[/C][C]0.0940228[/C][/ROW]
[ROW][C]118[/C][C]0.899516[/C][C]0.200968[/C][C]0.100484[/C][/ROW]
[ROW][C]119[/C][C]0.901186[/C][C]0.197629[/C][C]0.0988143[/C][/ROW]
[ROW][C]120[/C][C]0.934835[/C][C]0.130329[/C][C]0.0651646[/C][/ROW]
[ROW][C]121[/C][C]0.931206[/C][C]0.137588[/C][C]0.068794[/C][/ROW]
[ROW][C]122[/C][C]0.932606[/C][C]0.134788[/C][C]0.0673938[/C][/ROW]
[ROW][C]123[/C][C]0.94019[/C][C]0.119619[/C][C]0.0598095[/C][/ROW]
[ROW][C]124[/C][C]0.953753[/C][C]0.0924934[/C][C]0.0462467[/C][/ROW]
[ROW][C]125[/C][C]0.955321[/C][C]0.0893574[/C][C]0.0446787[/C][/ROW]
[ROW][C]126[/C][C]0.947885[/C][C]0.104229[/C][C]0.0521146[/C][/ROW]
[ROW][C]127[/C][C]0.95103[/C][C]0.0979396[/C][C]0.0489698[/C][/ROW]
[ROW][C]128[/C][C]0.944157[/C][C]0.111687[/C][C]0.0558433[/C][/ROW]
[ROW][C]129[/C][C]0.95723[/C][C]0.0855395[/C][C]0.0427698[/C][/ROW]
[ROW][C]130[/C][C]0.953661[/C][C]0.0926787[/C][C]0.0463394[/C][/ROW]
[ROW][C]131[/C][C]0.948076[/C][C]0.103849[/C][C]0.0519243[/C][/ROW]
[ROW][C]132[/C][C]0.943479[/C][C]0.113041[/C][C]0.0565206[/C][/ROW]
[ROW][C]133[/C][C]0.944084[/C][C]0.111833[/C][C]0.0559165[/C][/ROW]
[ROW][C]134[/C][C]0.939753[/C][C]0.120494[/C][C]0.0602468[/C][/ROW]
[ROW][C]135[/C][C]0.930716[/C][C]0.138568[/C][C]0.0692841[/C][/ROW]
[ROW][C]136[/C][C]0.921229[/C][C]0.157542[/C][C]0.0787708[/C][/ROW]
[ROW][C]137[/C][C]0.942865[/C][C]0.114269[/C][C]0.0571345[/C][/ROW]
[ROW][C]138[/C][C]0.95919[/C][C]0.0816193[/C][C]0.0408097[/C][/ROW]
[ROW][C]139[/C][C]0.963389[/C][C]0.0732227[/C][C]0.0366113[/C][/ROW]
[ROW][C]140[/C][C]0.961666[/C][C]0.0766686[/C][C]0.0383343[/C][/ROW]
[ROW][C]141[/C][C]0.956273[/C][C]0.0874536[/C][C]0.0437268[/C][/ROW]
[ROW][C]142[/C][C]0.955963[/C][C]0.0880743[/C][C]0.0440371[/C][/ROW]
[ROW][C]143[/C][C]0.948962[/C][C]0.102075[/C][C]0.0510376[/C][/ROW]
[ROW][C]144[/C][C]0.953258[/C][C]0.0934848[/C][C]0.0467424[/C][/ROW]
[ROW][C]145[/C][C]0.95032[/C][C]0.0993592[/C][C]0.0496796[/C][/ROW]
[ROW][C]146[/C][C]0.954074[/C][C]0.0918526[/C][C]0.0459263[/C][/ROW]
[ROW][C]147[/C][C]0.947984[/C][C]0.104032[/C][C]0.0520158[/C][/ROW]
[ROW][C]148[/C][C]0.94037[/C][C]0.11926[/C][C]0.0596301[/C][/ROW]
[ROW][C]149[/C][C]0.932982[/C][C]0.134036[/C][C]0.0670182[/C][/ROW]
[ROW][C]150[/C][C]0.936656[/C][C]0.126688[/C][C]0.0633438[/C][/ROW]
[ROW][C]151[/C][C]0.964279[/C][C]0.0714416[/C][C]0.0357208[/C][/ROW]
[ROW][C]152[/C][C]0.96561[/C][C]0.0687798[/C][C]0.0343899[/C][/ROW]
[ROW][C]153[/C][C]0.967756[/C][C]0.0644878[/C][C]0.0322439[/C][/ROW]
[ROW][C]154[/C][C]0.96698[/C][C]0.0660397[/C][C]0.0330198[/C][/ROW]
[ROW][C]155[/C][C]0.968993[/C][C]0.0620133[/C][C]0.0310067[/C][/ROW]
[ROW][C]156[/C][C]0.965095[/C][C]0.0698096[/C][C]0.0349048[/C][/ROW]
[ROW][C]157[/C][C]0.973242[/C][C]0.0535169[/C][C]0.0267584[/C][/ROW]
[ROW][C]158[/C][C]0.974485[/C][C]0.0510294[/C][C]0.0255147[/C][/ROW]
[ROW][C]159[/C][C]0.970277[/C][C]0.0594457[/C][C]0.0297229[/C][/ROW]
[ROW][C]160[/C][C]0.96484[/C][C]0.0703197[/C][C]0.0351598[/C][/ROW]
[ROW][C]161[/C][C]0.976316[/C][C]0.0473683[/C][C]0.0236842[/C][/ROW]
[ROW][C]162[/C][C]0.97529[/C][C]0.0494202[/C][C]0.0247101[/C][/ROW]
[ROW][C]163[/C][C]0.972612[/C][C]0.0547752[/C][C]0.0273876[/C][/ROW]
[ROW][C]164[/C][C]0.978465[/C][C]0.0430704[/C][C]0.0215352[/C][/ROW]
[ROW][C]165[/C][C]0.985876[/C][C]0.0282471[/C][C]0.0141235[/C][/ROW]
[ROW][C]166[/C][C]0.982573[/C][C]0.0348533[/C][C]0.0174266[/C][/ROW]
[ROW][C]167[/C][C]0.984679[/C][C]0.0306421[/C][C]0.0153211[/C][/ROW]
[ROW][C]168[/C][C]0.983742[/C][C]0.0325165[/C][C]0.0162583[/C][/ROW]
[ROW][C]169[/C][C]0.980848[/C][C]0.0383043[/C][C]0.0191521[/C][/ROW]
[ROW][C]170[/C][C]0.978967[/C][C]0.0420665[/C][C]0.0210333[/C][/ROW]
[ROW][C]171[/C][C]0.976103[/C][C]0.0477944[/C][C]0.0238972[/C][/ROW]
[ROW][C]172[/C][C]0.980825[/C][C]0.038349[/C][C]0.0191745[/C][/ROW]
[ROW][C]173[/C][C]0.977009[/C][C]0.0459819[/C][C]0.022991[/C][/ROW]
[ROW][C]174[/C][C]0.972773[/C][C]0.0544545[/C][C]0.0272273[/C][/ROW]
[ROW][C]175[/C][C]0.967878[/C][C]0.0642443[/C][C]0.0321221[/C][/ROW]
[ROW][C]176[/C][C]0.971086[/C][C]0.0578287[/C][C]0.0289143[/C][/ROW]
[ROW][C]177[/C][C]0.965051[/C][C]0.0698989[/C][C]0.0349494[/C][/ROW]
[ROW][C]178[/C][C]0.971387[/C][C]0.0572266[/C][C]0.0286133[/C][/ROW]
[ROW][C]179[/C][C]0.965319[/C][C]0.0693624[/C][C]0.0346812[/C][/ROW]
[ROW][C]180[/C][C]0.975022[/C][C]0.0499558[/C][C]0.0249779[/C][/ROW]
[ROW][C]181[/C][C]0.970842[/C][C]0.0583154[/C][C]0.0291577[/C][/ROW]
[ROW][C]182[/C][C]0.966216[/C][C]0.067568[/C][C]0.033784[/C][/ROW]
[ROW][C]183[/C][C]0.972615[/C][C]0.0547692[/C][C]0.0273846[/C][/ROW]
[ROW][C]184[/C][C]0.966699[/C][C]0.0666012[/C][C]0.0333006[/C][/ROW]
[ROW][C]185[/C][C]0.975154[/C][C]0.0496915[/C][C]0.0248457[/C][/ROW]
[ROW][C]186[/C][C]0.97158[/C][C]0.0568399[/C][C]0.0284199[/C][/ROW]
[ROW][C]187[/C][C]0.977195[/C][C]0.0456096[/C][C]0.0228048[/C][/ROW]
[ROW][C]188[/C][C]0.974287[/C][C]0.0514265[/C][C]0.0257133[/C][/ROW]
[ROW][C]189[/C][C]0.969388[/C][C]0.061223[/C][C]0.0306115[/C][/ROW]
[ROW][C]190[/C][C]0.963684[/C][C]0.0726313[/C][C]0.0363157[/C][/ROW]
[ROW][C]191[/C][C]0.957234[/C][C]0.0855313[/C][C]0.0427656[/C][/ROW]
[ROW][C]192[/C][C]0.953496[/C][C]0.0930087[/C][C]0.0465043[/C][/ROW]
[ROW][C]193[/C][C]0.955727[/C][C]0.0885455[/C][C]0.0442727[/C][/ROW]
[ROW][C]194[/C][C]0.958198[/C][C]0.0836042[/C][C]0.0418021[/C][/ROW]
[ROW][C]195[/C][C]0.95193[/C][C]0.0961395[/C][C]0.0480698[/C][/ROW]
[ROW][C]196[/C][C]0.94834[/C][C]0.10332[/C][C]0.0516599[/C][/ROW]
[ROW][C]197[/C][C]0.944017[/C][C]0.111967[/C][C]0.0559833[/C][/ROW]
[ROW][C]198[/C][C]0.932732[/C][C]0.134536[/C][C]0.0672681[/C][/ROW]
[ROW][C]199[/C][C]0.929123[/C][C]0.141754[/C][C]0.0708768[/C][/ROW]
[ROW][C]200[/C][C]0.918745[/C][C]0.16251[/C][C]0.0812549[/C][/ROW]
[ROW][C]201[/C][C]0.937187[/C][C]0.125625[/C][C]0.0628127[/C][/ROW]
[ROW][C]202[/C][C]0.927206[/C][C]0.145589[/C][C]0.0727943[/C][/ROW]
[ROW][C]203[/C][C]0.916503[/C][C]0.166994[/C][C]0.0834968[/C][/ROW]
[ROW][C]204[/C][C]0.904336[/C][C]0.191329[/C][C]0.0956643[/C][/ROW]
[ROW][C]205[/C][C]0.892947[/C][C]0.214107[/C][C]0.107053[/C][/ROW]
[ROW][C]206[/C][C]0.89315[/C][C]0.2137[/C][C]0.10685[/C][/ROW]
[ROW][C]207[/C][C]0.886666[/C][C]0.226668[/C][C]0.113334[/C][/ROW]
[ROW][C]208[/C][C]0.874309[/C][C]0.251381[/C][C]0.125691[/C][/ROW]
[ROW][C]209[/C][C]0.868825[/C][C]0.262349[/C][C]0.131175[/C][/ROW]
[ROW][C]210[/C][C]0.856262[/C][C]0.287475[/C][C]0.143738[/C][/ROW]
[ROW][C]211[/C][C]0.835162[/C][C]0.329676[/C][C]0.164838[/C][/ROW]
[ROW][C]212[/C][C]0.811159[/C][C]0.377682[/C][C]0.188841[/C][/ROW]
[ROW][C]213[/C][C]0.803463[/C][C]0.393075[/C][C]0.196537[/C][/ROW]
[ROW][C]214[/C][C]0.775409[/C][C]0.449181[/C][C]0.224591[/C][/ROW]
[ROW][C]215[/C][C]0.755242[/C][C]0.489516[/C][C]0.244758[/C][/ROW]
[ROW][C]216[/C][C]0.727176[/C][C]0.545647[/C][C]0.272824[/C][/ROW]
[ROW][C]217[/C][C]0.707415[/C][C]0.585171[/C][C]0.292585[/C][/ROW]
[ROW][C]218[/C][C]0.725244[/C][C]0.549511[/C][C]0.274756[/C][/ROW]
[ROW][C]219[/C][C]0.689841[/C][C]0.620318[/C][C]0.310159[/C][/ROW]
[ROW][C]220[/C][C]0.66512[/C][C]0.669761[/C][C]0.33488[/C][/ROW]
[ROW][C]221[/C][C]0.646777[/C][C]0.706445[/C][C]0.353223[/C][/ROW]
[ROW][C]222[/C][C]0.658312[/C][C]0.683376[/C][C]0.341688[/C][/ROW]
[ROW][C]223[/C][C]0.61823[/C][C]0.763541[/C][C]0.38177[/C][/ROW]
[ROW][C]224[/C][C]0.57832[/C][C]0.84336[/C][C]0.42168[/C][/ROW]
[ROW][C]225[/C][C]0.640467[/C][C]0.719066[/C][C]0.359533[/C][/ROW]
[ROW][C]226[/C][C]0.614097[/C][C]0.771806[/C][C]0.385903[/C][/ROW]
[ROW][C]227[/C][C]0.599453[/C][C]0.801094[/C][C]0.400547[/C][/ROW]
[ROW][C]228[/C][C]0.645638[/C][C]0.708725[/C][C]0.354362[/C][/ROW]
[ROW][C]229[/C][C]0.708188[/C][C]0.583625[/C][C]0.291812[/C][/ROW]
[ROW][C]230[/C][C]0.736923[/C][C]0.526154[/C][C]0.263077[/C][/ROW]
[ROW][C]231[/C][C]0.725843[/C][C]0.548314[/C][C]0.274157[/C][/ROW]
[ROW][C]232[/C][C]0.750014[/C][C]0.499972[/C][C]0.249986[/C][/ROW]
[ROW][C]233[/C][C]0.725648[/C][C]0.548704[/C][C]0.274352[/C][/ROW]
[ROW][C]234[/C][C]0.698063[/C][C]0.603875[/C][C]0.301937[/C][/ROW]
[ROW][C]235[/C][C]0.66463[/C][C]0.67074[/C][C]0.33537[/C][/ROW]
[ROW][C]236[/C][C]0.855108[/C][C]0.289784[/C][C]0.144892[/C][/ROW]
[ROW][C]237[/C][C]0.827479[/C][C]0.345042[/C][C]0.172521[/C][/ROW]
[ROW][C]238[/C][C]0.82278[/C][C]0.35444[/C][C]0.17722[/C][/ROW]
[ROW][C]239[/C][C]0.795136[/C][C]0.409728[/C][C]0.204864[/C][/ROW]
[ROW][C]240[/C][C]0.764575[/C][C]0.47085[/C][C]0.235425[/C][/ROW]
[ROW][C]241[/C][C]0.721803[/C][C]0.556394[/C][C]0.278197[/C][/ROW]
[ROW][C]242[/C][C]0.718775[/C][C]0.562451[/C][C]0.281225[/C][/ROW]
[ROW][C]243[/C][C]0.687614[/C][C]0.624772[/C][C]0.312386[/C][/ROW]
[ROW][C]244[/C][C]0.751582[/C][C]0.496835[/C][C]0.248418[/C][/ROW]
[ROW][C]245[/C][C]0.713285[/C][C]0.573431[/C][C]0.286715[/C][/ROW]
[ROW][C]246[/C][C]0.673716[/C][C]0.652568[/C][C]0.326284[/C][/ROW]
[ROW][C]247[/C][C]0.640664[/C][C]0.718673[/C][C]0.359336[/C][/ROW]
[ROW][C]248[/C][C]0.585813[/C][C]0.828373[/C][C]0.414187[/C][/ROW]
[ROW][C]249[/C][C]0.531021[/C][C]0.937959[/C][C]0.468979[/C][/ROW]
[ROW][C]250[/C][C]0.494147[/C][C]0.988293[/C][C]0.505853[/C][/ROW]
[ROW][C]251[/C][C]0.504314[/C][C]0.991373[/C][C]0.495686[/C][/ROW]
[ROW][C]252[/C][C]0.463732[/C][C]0.927464[/C][C]0.536268[/C][/ROW]
[ROW][C]253[/C][C]0.452352[/C][C]0.904703[/C][C]0.547648[/C][/ROW]
[ROW][C]254[/C][C]0.41155[/C][C]0.823099[/C][C]0.58845[/C][/ROW]
[ROW][C]255[/C][C]0.379886[/C][C]0.759771[/C][C]0.620114[/C][/ROW]
[ROW][C]256[/C][C]0.384574[/C][C]0.769149[/C][C]0.615426[/C][/ROW]
[ROW][C]257[/C][C]0.445367[/C][C]0.890733[/C][C]0.554633[/C][/ROW]
[ROW][C]258[/C][C]0.713806[/C][C]0.572387[/C][C]0.286194[/C][/ROW]
[ROW][C]259[/C][C]0.669804[/C][C]0.660391[/C][C]0.330196[/C][/ROW]
[ROW][C]260[/C][C]0.986996[/C][C]0.0260087[/C][C]0.0130043[/C][/ROW]
[ROW][C]261[/C][C]0.98354[/C][C]0.0329207[/C][C]0.0164603[/C][/ROW]
[ROW][C]262[/C][C]0.971657[/C][C]0.0566862[/C][C]0.0283431[/C][/ROW]
[ROW][C]263[/C][C]0.995252[/C][C]0.00949567[/C][C]0.00474783[/C][/ROW]
[ROW][C]264[/C][C]0.990584[/C][C]0.018831[/C][C]0.0094155[/C][/ROW]
[ROW][C]265[/C][C]0.982543[/C][C]0.0349133[/C][C]0.0174567[/C][/ROW]
[ROW][C]266[/C][C]0.966617[/C][C]0.0667661[/C][C]0.0333831[/C][/ROW]
[ROW][C]267[/C][C]0.938484[/C][C]0.123033[/C][C]0.0615163[/C][/ROW]
[ROW][C]268[/C][C]0.922753[/C][C]0.154494[/C][C]0.0772468[/C][/ROW]
[ROW][C]269[/C][C]0.88736[/C][C]0.225281[/C][C]0.11264[/C][/ROW]
[ROW][C]270[/C][C]0.889043[/C][C]0.221914[/C][C]0.110957[/C][/ROW]
[ROW][C]271[/C][C]0.98408[/C][C]0.03184[/C][C]0.01592[/C][/ROW]
[ROW][C]272[/C][C]0.956411[/C][C]0.087177[/C][C]0.0435885[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267576&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267576&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.7838140.4323730.216186
70.7644440.4711120.235556
80.6641020.6717970.335898
90.6152570.7694850.384743
100.6115840.7768320.388416
110.5136890.9726210.486311
120.7084870.5830270.291513
130.6249470.7501070.375053
140.5762210.8475590.423779
150.621550.75690.37845
160.5506860.8986280.449314
170.485820.971640.51418
180.4220980.8441960.577902
190.3792730.7585470.620727
200.3187950.6375890.681205
210.3656220.7312430.634378
220.36450.7290.6355
230.3135010.6270010.686499
240.2720250.544050.727975
250.2462610.4925220.753739
260.2042030.4084050.795797
270.2253750.450750.774625
280.2384730.4769460.761527
290.198740.3974790.80126
300.173220.3464410.82678
310.1771520.3543040.822848
320.1502880.3005760.849712
330.1284210.2568430.871579
340.1211490.2422970.878851
350.09682710.1936540.903173
360.08115560.1623110.918844
370.06898560.1379710.931014
380.06251710.1250340.937483
390.06388640.1277730.936114
400.04927640.09855280.950724
410.1122340.2244670.887766
420.09049080.1809820.909509
430.08087330.1617470.919127
440.06589470.1317890.934105
450.05741070.1148210.942589
460.04646060.09292130.953539
470.03826090.07652190.961739
480.05792860.1158570.942071
490.05825060.1165010.941749
500.04896320.09792640.951037
510.03894440.07788880.961056
520.06966960.1393390.93033
530.05760620.1152120.942394
540.05829120.1165820.941709
550.06322060.1264410.936779
560.05167360.1033470.948326
570.1108150.221630.889185
580.1331850.266370.866815
590.125910.2518190.87409
600.1355090.2710180.864491
610.1238640.2477280.876136
620.1061990.2123980.893801
630.1398270.2796540.860173
640.1953790.3907580.804621
650.1810570.3621140.818943
660.171390.342780.82861
670.1543220.3086450.845678
680.1439140.2878280.856086
690.1487080.2974170.851292
700.1314550.2629090.868545
710.1137840.2275670.886216
720.0972050.194410.902795
730.09032090.1806420.909679
740.08803140.1760630.911969
750.07884240.1576850.921158
760.07268630.1453730.927314
770.06269010.125380.93731
780.05986870.1197370.940131
790.05567270.1113450.944327
800.07664480.153290.923355
810.06882580.1376520.931174
820.06955030.1391010.93045
830.06022180.1204440.939778
840.1300680.2601370.869932
850.1238730.2477460.876127
860.1097860.2195720.890214
870.09595990.191920.90404
880.08503540.1700710.914965
890.09760610.1952120.902394
900.0942330.1884660.905767
910.09363410.1872680.906366
920.1900130.3800260.809987
930.172780.3455610.82722
940.1789870.3579730.821013
950.2367450.4734890.763255
960.2334270.4668550.766573
970.2580160.5160330.741984
980.233360.466720.76664
990.2309790.4619570.769021
1000.3357640.6715290.664236
1010.3144930.6289870.685507
1020.2967860.5935720.703214
1030.3200180.6400360.679982
1040.3345050.669010.665495
1050.3536810.7073620.646319
1060.3887480.7774960.611252
1070.3731140.7462290.626886
1080.5687210.8625570.431279
1090.6975620.6048770.302438
1100.711420.577160.28858
1110.6919760.6160470.308024
1120.6702640.6594720.329736
1130.80720.38560.1928
1140.8130180.3739640.186982
1150.8500370.2999270.149963
1160.891560.216880.10844
1170.9059770.1880460.0940228
1180.8995160.2009680.100484
1190.9011860.1976290.0988143
1200.9348350.1303290.0651646
1210.9312060.1375880.068794
1220.9326060.1347880.0673938
1230.940190.1196190.0598095
1240.9537530.09249340.0462467
1250.9553210.08935740.0446787
1260.9478850.1042290.0521146
1270.951030.09793960.0489698
1280.9441570.1116870.0558433
1290.957230.08553950.0427698
1300.9536610.09267870.0463394
1310.9480760.1038490.0519243
1320.9434790.1130410.0565206
1330.9440840.1118330.0559165
1340.9397530.1204940.0602468
1350.9307160.1385680.0692841
1360.9212290.1575420.0787708
1370.9428650.1142690.0571345
1380.959190.08161930.0408097
1390.9633890.07322270.0366113
1400.9616660.07666860.0383343
1410.9562730.08745360.0437268
1420.9559630.08807430.0440371
1430.9489620.1020750.0510376
1440.9532580.09348480.0467424
1450.950320.09935920.0496796
1460.9540740.09185260.0459263
1470.9479840.1040320.0520158
1480.940370.119260.0596301
1490.9329820.1340360.0670182
1500.9366560.1266880.0633438
1510.9642790.07144160.0357208
1520.965610.06877980.0343899
1530.9677560.06448780.0322439
1540.966980.06603970.0330198
1550.9689930.06201330.0310067
1560.9650950.06980960.0349048
1570.9732420.05351690.0267584
1580.9744850.05102940.0255147
1590.9702770.05944570.0297229
1600.964840.07031970.0351598
1610.9763160.04736830.0236842
1620.975290.04942020.0247101
1630.9726120.05477520.0273876
1640.9784650.04307040.0215352
1650.9858760.02824710.0141235
1660.9825730.03485330.0174266
1670.9846790.03064210.0153211
1680.9837420.03251650.0162583
1690.9808480.03830430.0191521
1700.9789670.04206650.0210333
1710.9761030.04779440.0238972
1720.9808250.0383490.0191745
1730.9770090.04598190.022991
1740.9727730.05445450.0272273
1750.9678780.06424430.0321221
1760.9710860.05782870.0289143
1770.9650510.06989890.0349494
1780.9713870.05722660.0286133
1790.9653190.06936240.0346812
1800.9750220.04995580.0249779
1810.9708420.05831540.0291577
1820.9662160.0675680.033784
1830.9726150.05476920.0273846
1840.9666990.06660120.0333006
1850.9751540.04969150.0248457
1860.971580.05683990.0284199
1870.9771950.04560960.0228048
1880.9742870.05142650.0257133
1890.9693880.0612230.0306115
1900.9636840.07263130.0363157
1910.9572340.08553130.0427656
1920.9534960.09300870.0465043
1930.9557270.08854550.0442727
1940.9581980.08360420.0418021
1950.951930.09613950.0480698
1960.948340.103320.0516599
1970.9440170.1119670.0559833
1980.9327320.1345360.0672681
1990.9291230.1417540.0708768
2000.9187450.162510.0812549
2010.9371870.1256250.0628127
2020.9272060.1455890.0727943
2030.9165030.1669940.0834968
2040.9043360.1913290.0956643
2050.8929470.2141070.107053
2060.893150.21370.10685
2070.8866660.2266680.113334
2080.8743090.2513810.125691
2090.8688250.2623490.131175
2100.8562620.2874750.143738
2110.8351620.3296760.164838
2120.8111590.3776820.188841
2130.8034630.3930750.196537
2140.7754090.4491810.224591
2150.7552420.4895160.244758
2160.7271760.5456470.272824
2170.7074150.5851710.292585
2180.7252440.5495110.274756
2190.6898410.6203180.310159
2200.665120.6697610.33488
2210.6467770.7064450.353223
2220.6583120.6833760.341688
2230.618230.7635410.38177
2240.578320.843360.42168
2250.6404670.7190660.359533
2260.6140970.7718060.385903
2270.5994530.8010940.400547
2280.6456380.7087250.354362
2290.7081880.5836250.291812
2300.7369230.5261540.263077
2310.7258430.5483140.274157
2320.7500140.4999720.249986
2330.7256480.5487040.274352
2340.6980630.6038750.301937
2350.664630.670740.33537
2360.8551080.2897840.144892
2370.8274790.3450420.172521
2380.822780.354440.17722
2390.7951360.4097280.204864
2400.7645750.470850.235425
2410.7218030.5563940.278197
2420.7187750.5624510.281225
2430.6876140.6247720.312386
2440.7515820.4968350.248418
2450.7132850.5734310.286715
2460.6737160.6525680.326284
2470.6406640.7186730.359336
2480.5858130.8283730.414187
2490.5310210.9379590.468979
2500.4941470.9882930.505853
2510.5043140.9913730.495686
2520.4637320.9274640.536268
2530.4523520.9047030.547648
2540.411550.8230990.58845
2550.3798860.7597710.620114
2560.3845740.7691490.615426
2570.4453670.8907330.554633
2580.7138060.5723870.286194
2590.6698040.6603910.330196
2600.9869960.02600870.0130043
2610.983540.03292070.0164603
2620.9716570.05668620.0283431
2630.9952520.009495670.00474783
2640.9905840.0188310.0094155
2650.9825430.03491330.0174567
2660.9666170.06676610.0333831
2670.9384840.1230330.0615163
2680.9227530.1544940.0772468
2690.887360.2252810.11264
2700.8890430.2219140.110957
2710.984080.031840.01592
2720.9564110.0871770.0435885






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level10.00374532OK
5% type I error level210.0786517NOK
10% type I error level720.269663NOK

\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 & 1 & 0.00374532 & OK \tabularnewline
5% type I error level & 21 & 0.0786517 & NOK \tabularnewline
10% type I error level & 72 & 0.269663 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267576&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]1[/C][C]0.00374532[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]21[/C][C]0.0786517[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]72[/C][C]0.269663[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267576&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267576&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level10.00374532OK
5% type I error level210.0786517NOK
10% type I error level720.269663NOK


Figures (Output of Computation)

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Input Parameters & R Code

Parameters (Session):
par1 = 3 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 3 ; 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')
}