FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationMon, 15 Dec 2014 12:37:55 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/15/t14186471227nm5x3plyh9c3gt.htm/, Retrieved Fri, 01 Nov 2024 00:34:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=268258, Retrieved Fri, 01 Nov 2024 00:34:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact95

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [Invloed van motiv...] [2014-12-15 12:37:55] [5848e943dc403117a4a7bf00dc78acfc] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
68 26 50
39 57 62
32 37 54
62 67 71
33 43 54
52 52 65
62 52 73
77 43 52
76 84 84
41 67 42
48 49 66
63 70 65
30 52 78
78 58 73
19 68 75
31 62 72
66 43 66
35 56 70
42 56 61
45 74 81
21 65 71
25 63 69
44 58 71
69 57 72
54 63 68
74 53 70
80 57 68
42 51 61
61 64 67
41 53 76
46 29 70
39 54 60
34 58 72
51 43 69
42 51 71
31 53 62
39 54 70
20 56 64
49 61 58
53 47 76
31 39 52
39 48 59
54 50 68
49 35 76
34 30 65
46 68 67
55 49 59
42 61 69
50 67 76
13 47 63
37 56 75
25 50 63
30 43 60
28 67 73
45 62 63
35 57 70
28 41 75
41 54 66
6 45 63
45 48 63
73 61 64
17 56 70
40 41 75
64 43 61
37 53 60
25 44 62
65 66 73
100 58 61
28 46 66
35 37 64
56 51 59
29 51 64
43 56 60
59 66 56
50 37 78
3 59 53
59 42 67
27 38 59
61 66 66
28 34 68
51 53 71
35 49 66
29 55 73
48 49 72
25 59 71
44 40 59
64 58 64
32 60 66
20 63 78
28 56 68
34 54 73
31 52 62
26 34 65
58 69 68
23 32 65
21 48 60
21 67 71
33 58 65
16 57 68
20 42 64
37 64 74
35 58 69
33 66 76
27 26 68
41 61 72
40 52 67
35 51 63
28 55 59
32 50 73
22 60 66
44 56 62
27 63 69
17 61 66
12 52 51
45 16 56
37 46 67
37 56 69
108 52 57
10 55 56
68 50 55
72 59 63
143 60 67
9 52 65
55 44 47
17 67 76
37 52 64
27 55 68
37 37 64
58 54 65
66 72 71
21 51 63
19 48 60
78 60 68
35 50 72
48 63 70
27 33 61
43 67 61
30 46 62
25 54 71
69 59 71
72 61 51
23 33 56
13 47 70
61 69 73
43 52 76
51 55 68
67 41 48
36 73 52
44 52 60
45 50 59
34 51 57
36 60 79
72 56 60
39 56 60
43 29 59
25 66 62
56 66 59
80 73 61
40 55 71
73 64 57
34 40 66
72 46 63
42 58 69
61 43 58
23 61 59
74 51 48
16 50 66
66 52 73
9 54 67
41 66 61
57 61 68
48 80 75
51 51 62
53 56 69
29 56 58
29 56 60
55 53 74
54 47 55
43 25 62
51 47 63
20 46 69
79 50 58
39 39 58
61 51 68
55 58 72
30 35 62
55 58 62
22 60 65
37 62 69
2 63 66
38 53 72
27 46 62
56 67 75
25 59 58
39 64 66
33 38 55
43 50 47
57 48 72
43 48 62
23 47 64
44 66 64
54 47 19
28 63 50
36 58 68
39 44 70
16 51 79
23 43 69
40 55 71
24 38 48
78 45 73
57 50 74
37 54 66
27 57 71
61 60 74
27 55 78
69 56 75
34 49 53
44 37 60
34 59 70
39 46 69
51 51 65
34 58 78
31 64 78
13 53 59
12 48 72
51 51 70
24 47 63
19 59 63
30 62 71
81 62 74
42 51 67
22 64 66
85 52 62
27 67 80
25 50 73
22 54 67
19 58 61
14 56 73
45 63 74
45 31 32
28 65 69
51 71 69
41 50 84
31 57 64
74 47 58
19 47 59
51 57 78
73 43 57
24 41 60
61 63 68
23 63 68
14 56 73
54 51 69
51 50 67
62 22 60
36 41 65
59 59 66
24 56 74
26 66 81
54 53 72
39 42 55
16 52 49
36 54 74
31 44 53
31 62 64
42 53 65
39 50 57
25 36 51
31 76 80
38 66 67
31 62 70
17 59 74
22 47 75
55 55 70
62 58 69
51 60 65
30 44 55
49 57 71
16 45 65

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 8 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268258&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]8 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268258&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268258&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Multiple Linear Regression - Estimated Regression Equation
CH[t] = + 42.1894 + 0.220264AMS.I[t] -0.19243AMS.E[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
CH[t] =  +  42.1894 +  0.220264AMS.I[t] -0.19243AMS.E[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268258&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]CH[t] =  +  42.1894 +  0.220264AMS.I[t] -0.19243AMS.E[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268258&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268258&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
CH[t] = + 42.1894 + 0.220264AMS.I[t] -0.19243AMS.E[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)42.18949.712544.3441.96927e-059.84637e-06
AMS.I0.2202640.1185991.8570.0643460.032173
AMS.E-0.192430.14941-1.2880.1988470.0994237

\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) & 42.1894 & 9.71254 & 4.344 & 1.96927e-05 & 9.84637e-06 \tabularnewline
AMS.I & 0.220264 & 0.118599 & 1.857 & 0.064346 & 0.032173 \tabularnewline
AMS.E & -0.19243 & 0.14941 & -1.288 & 0.198847 & 0.0994237 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268258&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]42.1894[/C][C]9.71254[/C][C]4.344[/C][C]1.96927e-05[/C][C]9.84637e-06[/C][/ROW]
[ROW][C]AMS.I[/C][C]0.220264[/C][C]0.118599[/C][C]1.857[/C][C]0.064346[/C][C]0.032173[/C][/ROW]
[ROW][C]AMS.E[/C][C]-0.19243[/C][C]0.14941[/C][C]-1.288[/C][C]0.198847[/C][C]0.0994237[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268258&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268258&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)42.18949.712544.3441.96927e-059.84637e-06
AMS.I0.2202640.1185991.8570.0643460.032173
AMS.E-0.192430.14941-1.2880.1988470.0994237






Multiple Linear Regression - Regression Statistics
Multiple R0.11842
R-squared0.0140233
Adjusted R-squared0.00687858
F-TEST (value)1.96275
F-TEST (DF numerator)2
F-TEST (DF denominator)276
p-value0.142428
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation19.1054
Sum Squared Residuals100745

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.11842 \tabularnewline
R-squared & 0.0140233 \tabularnewline
Adjusted R-squared & 0.00687858 \tabularnewline
F-TEST (value) & 1.96275 \tabularnewline
F-TEST (DF numerator) & 2 \tabularnewline
F-TEST (DF denominator) & 276 \tabularnewline
p-value & 0.142428 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 19.1054 \tabularnewline
Sum Squared Residuals & 100745 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268258&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.11842[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0140233[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.00687858[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]1.96275[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]2[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]276[/C][/ROW]
[ROW][C]p-value[/C][C]0.142428[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]19.1054[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]100745[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268258&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268258&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 R0.11842
R-squared0.0140233
Adjusted R-squared0.00687858
F-TEST (value)1.96275
F-TEST (DF numerator)2
F-TEST (DF denominator)276
p-value0.142428
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation19.1054
Sum Squared Residuals100745






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
16838.294729.7053
23942.8138-3.81378
33239.9479-7.94793
46243.284518.7155
53341.2695-8.26952
65241.135210.8648
76239.595722.4043
87741.654435.3456
97644.527431.4726
104148.865-7.86502
114840.28197.71806
126345.099917.9001
133038.6336-8.63357
147840.917337.0827
151942.7351-23.7351
163141.9908-10.9908
176638.960427.0396
183541.0541-6.05407
194242.7859-0.785944
204542.90212.0979
212142.844-21.844
222542.7884-17.7884
234441.30222.69783
246940.889528.1105
255442.980811.0192
267440.393333.6067
278041.659238.3408
284241.68460.315377
296143.393517.6065
304139.23871.7613
314635.106910.8931
323942.5378-3.53785
333441.1097-7.10974
345138.383112.6169
354239.76032.23968
363141.9327-10.9327
373940.6135-1.61354
382042.2087-22.2087
394944.46464.53544
405337.917115.0829
413140.7733-9.77332
423941.4087-2.40869
435440.117313.8827
444935.273913.7261
453436.2894-2.28935
464644.27451.72547
475541.62913.371
484242.3478-0.347823
495042.32247.6776
501340.4187-27.4187
513740.0919-3.09192
522541.0795-16.0795
533040.1149-10.1149
542842.8997-14.8997
554543.72271.27733
563541.2743-6.27434
572836.788-8.78796
584141.3833-0.383264
59639.9782-33.9782
604540.6394.36103
617343.3129.69
621741.0541-24.0541
634036.7883.21204
646439.922524.0775
653742.3176-5.31758
662539.9503-14.9503
676542.679422.3206
6810043.226556.7735
692839.6212-11.6212
703538.0236-3.02363
715642.069513.9305
722941.1073-12.1073
734342.97840.021626
745945.950713.0493
755035.329614.6704
76344.9862-41.9862
775938.547720.4523
782739.206-12.206
796144.026416.9736
802836.5931-8.59312
815140.200810.7992
823540.2819-5.28194
832940.2565-11.2565
844839.12748.87264
852541.5224-16.5224
864439.64664.35342
876442.649221.3508
883242.7048-10.7048
892041.0565-21.0565
902841.4389-13.4389
913440.0363-6.03625
923141.7125-10.7125
932637.1704-11.1704
945844.302413.6976
952336.7299-13.7299
962141.2163-20.2163
972143.2845-22.2845
983342.4568-9.45675
991641.6592-25.6592
1002039.125-19.125
1013742.0465-5.04647
1023541.687-6.68703
1033342.1021-9.10213
1042734.831-7.83101
1054141.7705-0.770533
1064040.7503-0.750306
1073541.2998-6.29976
1082842.9505-14.9505
1093239.1552-7.1552
1102242.7048-20.7048
1114442.59351.40649
1122742.7884-15.7884
1131742.9251-25.9251
1141243.8292-31.8292
1154534.937510.0625
1163739.4287-2.42872
1173741.2465-4.2465
11810842.674665.3254
1191043.5278-33.5278
1206842.618925.3811
1217243.061928.9381
12214342.5124100.488
123941.1352-32.1352
1245542.836812.1632
1251742.3224-25.3224
1263741.3276-4.3276
1272741.2187-14.2187
1283738.0236-1.02363
1295841.575716.4243
1306644.385921.6141
1312141.2998-20.2998
1321941.2163-22.2163
1337842.3235.68
1343539.3476-4.34763
1354842.59595.40408
1362737.7199-10.7199
1374345.2089-2.20885
1383040.3909-10.3909
1392540.4211-15.4211
1406941.522427.4776
1417245.811626.1884
1422338.682-15.682
1431339.0717-26.0717
1446143.340217.6598
1454339.01843.98157
1465141.21879.78133
1476741.983625.0164
1483648.2623-12.2623
1494442.09731.90268
1504541.84923.15078
1513442.4543-8.45434
1523640.2033-4.20326
1537242.978429.0216
1543942.9784-3.97837
1554337.22375.77633
1562544.7962-19.7962
1575645.373410.6266
1588046.530433.4696
1594040.6414-0.641378
1607345.317827.6822
1613438.2996-4.29957
1627240.198431.8016
1634241.6870.312969
1646140.499820.5002
1652344.2721-21.2721
1667444.186229.8138
1671640.5022-24.5022
1686639.595726.4043
169941.1908-32.1908
1704144.9886-3.98859
1715742.540314.4597
1724845.37832.62174
1735141.49229.50781
1745341.246511.7535
1752943.3632-14.3632
1762942.9784-13.9784
1775539.623615.3764
1785441.958112.0419
1794335.76537.23468
1805140.418710.5813
1812039.0439-19.0439
1827942.041636.9584
1833939.6187-0.618743
1846140.337620.6624
1855541.109713.8903
1863037.968-7.96797
1875543.03411.966
1882242.8973-20.8973
1893742.5681-5.56809
190243.3656-41.3656
1913840.0084-2.00842
1922740.3909-13.3909
1935642.514813.4852
1942544.024-19.024
1953943.5859-4.58591
1963339.9758-6.97577
1974344.1584-1.15838
1985738.907118.0929
1994340.83142.1686
2002340.2263-17.2263
2014444.4113-0.411295
2025448.88565.11437
2032846.4445-18.4445
2043641.8795-5.87946
2053938.41090.589098
2061638.2209-22.2209
2072338.3831-15.3831
2084040.6414-0.641378
2092441.3228-17.3228
2107838.053939.9461
2115738.962818.0372
2123741.3833-4.38326
2132741.0819-14.0819
2146141.165419.8346
2152739.2944-12.2944
2166940.091928.9081
2173442.7835-8.78354
2184438.79345.20665
2193441.7149-7.71486
2203939.0439-0.0438603
2215140.914910.0851
2223439.9552-5.95516
2233141.2767-10.2767
2241342.51-29.51
2251238.9071-26.9071
2265139.952811.0472
2272440.4187-16.4187
2281943.0619-24.0619
2293042.1832-12.1832
2308141.605939.3941
2314240.531.46996
2322243.5859-21.5859
2338541.712543.2875
2342741.5527-14.5527
2352539.1552-14.1552
2362241.1908-19.1908
2371943.2265-24.2265
2381440.4768-26.4768
2394541.82623.1738
2404542.85982.14019
2412843.2289-15.2289
2425144.55056.44953
2434137.03853.96154
2443142.4289-11.4289
2457441.380932.6191
2461941.1884-22.1884
2475139.734911.2651
2487340.692232.3078
2492439.6744-15.6744
2506142.980818.0192
2512342.9808-19.9808
2521440.4768-26.4768
2535440.145213.8548
2545140.309810.6902
2556235.489426.5106
2563638.7123-2.71226
2575942.484616.5154
2582440.2844-16.2844
2592641.14-15.14
2605440.008413.9916
2613940.8568-1.85683
2621644.214-28.214
2633639.8438-3.84382
2643141.6822-10.6822
2653143.5302-12.5302
2664241.35540.64457
2673942.2341-3.23408
2682540.305-15.305
2693143.5351-12.5351
2703843.834-5.834
2713142.3757-11.3757
2721740.9451-23.9451
2732238.1095-16.1095
2745540.833814.1662
2756241.68720.313
2765142.89738.10272
2773041.2974-11.2974
2784941.08197.91809
2791639.5933-23.5933

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 68 & 38.2947 & 29.7053 \tabularnewline
2 & 39 & 42.8138 & -3.81378 \tabularnewline
3 & 32 & 39.9479 & -7.94793 \tabularnewline
4 & 62 & 43.2845 & 18.7155 \tabularnewline
5 & 33 & 41.2695 & -8.26952 \tabularnewline
6 & 52 & 41.1352 & 10.8648 \tabularnewline
7 & 62 & 39.5957 & 22.4043 \tabularnewline
8 & 77 & 41.6544 & 35.3456 \tabularnewline
9 & 76 & 44.5274 & 31.4726 \tabularnewline
10 & 41 & 48.865 & -7.86502 \tabularnewline
11 & 48 & 40.2819 & 7.71806 \tabularnewline
12 & 63 & 45.0999 & 17.9001 \tabularnewline
13 & 30 & 38.6336 & -8.63357 \tabularnewline
14 & 78 & 40.9173 & 37.0827 \tabularnewline
15 & 19 & 42.7351 & -23.7351 \tabularnewline
16 & 31 & 41.9908 & -10.9908 \tabularnewline
17 & 66 & 38.9604 & 27.0396 \tabularnewline
18 & 35 & 41.0541 & -6.05407 \tabularnewline
19 & 42 & 42.7859 & -0.785944 \tabularnewline
20 & 45 & 42.9021 & 2.0979 \tabularnewline
21 & 21 & 42.844 & -21.844 \tabularnewline
22 & 25 & 42.7884 & -17.7884 \tabularnewline
23 & 44 & 41.3022 & 2.69783 \tabularnewline
24 & 69 & 40.8895 & 28.1105 \tabularnewline
25 & 54 & 42.9808 & 11.0192 \tabularnewline
26 & 74 & 40.3933 & 33.6067 \tabularnewline
27 & 80 & 41.6592 & 38.3408 \tabularnewline
28 & 42 & 41.6846 & 0.315377 \tabularnewline
29 & 61 & 43.3935 & 17.6065 \tabularnewline
30 & 41 & 39.2387 & 1.7613 \tabularnewline
31 & 46 & 35.1069 & 10.8931 \tabularnewline
32 & 39 & 42.5378 & -3.53785 \tabularnewline
33 & 34 & 41.1097 & -7.10974 \tabularnewline
34 & 51 & 38.3831 & 12.6169 \tabularnewline
35 & 42 & 39.7603 & 2.23968 \tabularnewline
36 & 31 & 41.9327 & -10.9327 \tabularnewline
37 & 39 & 40.6135 & -1.61354 \tabularnewline
38 & 20 & 42.2087 & -22.2087 \tabularnewline
39 & 49 & 44.4646 & 4.53544 \tabularnewline
40 & 53 & 37.9171 & 15.0829 \tabularnewline
41 & 31 & 40.7733 & -9.77332 \tabularnewline
42 & 39 & 41.4087 & -2.40869 \tabularnewline
43 & 54 & 40.1173 & 13.8827 \tabularnewline
44 & 49 & 35.2739 & 13.7261 \tabularnewline
45 & 34 & 36.2894 & -2.28935 \tabularnewline
46 & 46 & 44.2745 & 1.72547 \tabularnewline
47 & 55 & 41.629 & 13.371 \tabularnewline
48 & 42 & 42.3478 & -0.347823 \tabularnewline
49 & 50 & 42.3224 & 7.6776 \tabularnewline
50 & 13 & 40.4187 & -27.4187 \tabularnewline
51 & 37 & 40.0919 & -3.09192 \tabularnewline
52 & 25 & 41.0795 & -16.0795 \tabularnewline
53 & 30 & 40.1149 & -10.1149 \tabularnewline
54 & 28 & 42.8997 & -14.8997 \tabularnewline
55 & 45 & 43.7227 & 1.27733 \tabularnewline
56 & 35 & 41.2743 & -6.27434 \tabularnewline
57 & 28 & 36.788 & -8.78796 \tabularnewline
58 & 41 & 41.3833 & -0.383264 \tabularnewline
59 & 6 & 39.9782 & -33.9782 \tabularnewline
60 & 45 & 40.639 & 4.36103 \tabularnewline
61 & 73 & 43.31 & 29.69 \tabularnewline
62 & 17 & 41.0541 & -24.0541 \tabularnewline
63 & 40 & 36.788 & 3.21204 \tabularnewline
64 & 64 & 39.9225 & 24.0775 \tabularnewline
65 & 37 & 42.3176 & -5.31758 \tabularnewline
66 & 25 & 39.9503 & -14.9503 \tabularnewline
67 & 65 & 42.6794 & 22.3206 \tabularnewline
68 & 100 & 43.2265 & 56.7735 \tabularnewline
69 & 28 & 39.6212 & -11.6212 \tabularnewline
70 & 35 & 38.0236 & -3.02363 \tabularnewline
71 & 56 & 42.0695 & 13.9305 \tabularnewline
72 & 29 & 41.1073 & -12.1073 \tabularnewline
73 & 43 & 42.9784 & 0.021626 \tabularnewline
74 & 59 & 45.9507 & 13.0493 \tabularnewline
75 & 50 & 35.3296 & 14.6704 \tabularnewline
76 & 3 & 44.9862 & -41.9862 \tabularnewline
77 & 59 & 38.5477 & 20.4523 \tabularnewline
78 & 27 & 39.206 & -12.206 \tabularnewline
79 & 61 & 44.0264 & 16.9736 \tabularnewline
80 & 28 & 36.5931 & -8.59312 \tabularnewline
81 & 51 & 40.2008 & 10.7992 \tabularnewline
82 & 35 & 40.2819 & -5.28194 \tabularnewline
83 & 29 & 40.2565 & -11.2565 \tabularnewline
84 & 48 & 39.1274 & 8.87264 \tabularnewline
85 & 25 & 41.5224 & -16.5224 \tabularnewline
86 & 44 & 39.6466 & 4.35342 \tabularnewline
87 & 64 & 42.6492 & 21.3508 \tabularnewline
88 & 32 & 42.7048 & -10.7048 \tabularnewline
89 & 20 & 41.0565 & -21.0565 \tabularnewline
90 & 28 & 41.4389 & -13.4389 \tabularnewline
91 & 34 & 40.0363 & -6.03625 \tabularnewline
92 & 31 & 41.7125 & -10.7125 \tabularnewline
93 & 26 & 37.1704 & -11.1704 \tabularnewline
94 & 58 & 44.3024 & 13.6976 \tabularnewline
95 & 23 & 36.7299 & -13.7299 \tabularnewline
96 & 21 & 41.2163 & -20.2163 \tabularnewline
97 & 21 & 43.2845 & -22.2845 \tabularnewline
98 & 33 & 42.4568 & -9.45675 \tabularnewline
99 & 16 & 41.6592 & -25.6592 \tabularnewline
100 & 20 & 39.125 & -19.125 \tabularnewline
101 & 37 & 42.0465 & -5.04647 \tabularnewline
102 & 35 & 41.687 & -6.68703 \tabularnewline
103 & 33 & 42.1021 & -9.10213 \tabularnewline
104 & 27 & 34.831 & -7.83101 \tabularnewline
105 & 41 & 41.7705 & -0.770533 \tabularnewline
106 & 40 & 40.7503 & -0.750306 \tabularnewline
107 & 35 & 41.2998 & -6.29976 \tabularnewline
108 & 28 & 42.9505 & -14.9505 \tabularnewline
109 & 32 & 39.1552 & -7.1552 \tabularnewline
110 & 22 & 42.7048 & -20.7048 \tabularnewline
111 & 44 & 42.5935 & 1.40649 \tabularnewline
112 & 27 & 42.7884 & -15.7884 \tabularnewline
113 & 17 & 42.9251 & -25.9251 \tabularnewline
114 & 12 & 43.8292 & -31.8292 \tabularnewline
115 & 45 & 34.9375 & 10.0625 \tabularnewline
116 & 37 & 39.4287 & -2.42872 \tabularnewline
117 & 37 & 41.2465 & -4.2465 \tabularnewline
118 & 108 & 42.6746 & 65.3254 \tabularnewline
119 & 10 & 43.5278 & -33.5278 \tabularnewline
120 & 68 & 42.6189 & 25.3811 \tabularnewline
121 & 72 & 43.0619 & 28.9381 \tabularnewline
122 & 143 & 42.5124 & 100.488 \tabularnewline
123 & 9 & 41.1352 & -32.1352 \tabularnewline
124 & 55 & 42.8368 & 12.1632 \tabularnewline
125 & 17 & 42.3224 & -25.3224 \tabularnewline
126 & 37 & 41.3276 & -4.3276 \tabularnewline
127 & 27 & 41.2187 & -14.2187 \tabularnewline
128 & 37 & 38.0236 & -1.02363 \tabularnewline
129 & 58 & 41.5757 & 16.4243 \tabularnewline
130 & 66 & 44.3859 & 21.6141 \tabularnewline
131 & 21 & 41.2998 & -20.2998 \tabularnewline
132 & 19 & 41.2163 & -22.2163 \tabularnewline
133 & 78 & 42.32 & 35.68 \tabularnewline
134 & 35 & 39.3476 & -4.34763 \tabularnewline
135 & 48 & 42.5959 & 5.40408 \tabularnewline
136 & 27 & 37.7199 & -10.7199 \tabularnewline
137 & 43 & 45.2089 & -2.20885 \tabularnewline
138 & 30 & 40.3909 & -10.3909 \tabularnewline
139 & 25 & 40.4211 & -15.4211 \tabularnewline
140 & 69 & 41.5224 & 27.4776 \tabularnewline
141 & 72 & 45.8116 & 26.1884 \tabularnewline
142 & 23 & 38.682 & -15.682 \tabularnewline
143 & 13 & 39.0717 & -26.0717 \tabularnewline
144 & 61 & 43.3402 & 17.6598 \tabularnewline
145 & 43 & 39.0184 & 3.98157 \tabularnewline
146 & 51 & 41.2187 & 9.78133 \tabularnewline
147 & 67 & 41.9836 & 25.0164 \tabularnewline
148 & 36 & 48.2623 & -12.2623 \tabularnewline
149 & 44 & 42.0973 & 1.90268 \tabularnewline
150 & 45 & 41.8492 & 3.15078 \tabularnewline
151 & 34 & 42.4543 & -8.45434 \tabularnewline
152 & 36 & 40.2033 & -4.20326 \tabularnewline
153 & 72 & 42.9784 & 29.0216 \tabularnewline
154 & 39 & 42.9784 & -3.97837 \tabularnewline
155 & 43 & 37.2237 & 5.77633 \tabularnewline
156 & 25 & 44.7962 & -19.7962 \tabularnewline
157 & 56 & 45.3734 & 10.6266 \tabularnewline
158 & 80 & 46.5304 & 33.4696 \tabularnewline
159 & 40 & 40.6414 & -0.641378 \tabularnewline
160 & 73 & 45.3178 & 27.6822 \tabularnewline
161 & 34 & 38.2996 & -4.29957 \tabularnewline
162 & 72 & 40.1984 & 31.8016 \tabularnewline
163 & 42 & 41.687 & 0.312969 \tabularnewline
164 & 61 & 40.4998 & 20.5002 \tabularnewline
165 & 23 & 44.2721 & -21.2721 \tabularnewline
166 & 74 & 44.1862 & 29.8138 \tabularnewline
167 & 16 & 40.5022 & -24.5022 \tabularnewline
168 & 66 & 39.5957 & 26.4043 \tabularnewline
169 & 9 & 41.1908 & -32.1908 \tabularnewline
170 & 41 & 44.9886 & -3.98859 \tabularnewline
171 & 57 & 42.5403 & 14.4597 \tabularnewline
172 & 48 & 45.3783 & 2.62174 \tabularnewline
173 & 51 & 41.4922 & 9.50781 \tabularnewline
174 & 53 & 41.2465 & 11.7535 \tabularnewline
175 & 29 & 43.3632 & -14.3632 \tabularnewline
176 & 29 & 42.9784 & -13.9784 \tabularnewline
177 & 55 & 39.6236 & 15.3764 \tabularnewline
178 & 54 & 41.9581 & 12.0419 \tabularnewline
179 & 43 & 35.7653 & 7.23468 \tabularnewline
180 & 51 & 40.4187 & 10.5813 \tabularnewline
181 & 20 & 39.0439 & -19.0439 \tabularnewline
182 & 79 & 42.0416 & 36.9584 \tabularnewline
183 & 39 & 39.6187 & -0.618743 \tabularnewline
184 & 61 & 40.3376 & 20.6624 \tabularnewline
185 & 55 & 41.1097 & 13.8903 \tabularnewline
186 & 30 & 37.968 & -7.96797 \tabularnewline
187 & 55 & 43.034 & 11.966 \tabularnewline
188 & 22 & 42.8973 & -20.8973 \tabularnewline
189 & 37 & 42.5681 & -5.56809 \tabularnewline
190 & 2 & 43.3656 & -41.3656 \tabularnewline
191 & 38 & 40.0084 & -2.00842 \tabularnewline
192 & 27 & 40.3909 & -13.3909 \tabularnewline
193 & 56 & 42.5148 & 13.4852 \tabularnewline
194 & 25 & 44.024 & -19.024 \tabularnewline
195 & 39 & 43.5859 & -4.58591 \tabularnewline
196 & 33 & 39.9758 & -6.97577 \tabularnewline
197 & 43 & 44.1584 & -1.15838 \tabularnewline
198 & 57 & 38.9071 & 18.0929 \tabularnewline
199 & 43 & 40.8314 & 2.1686 \tabularnewline
200 & 23 & 40.2263 & -17.2263 \tabularnewline
201 & 44 & 44.4113 & -0.411295 \tabularnewline
202 & 54 & 48.8856 & 5.11437 \tabularnewline
203 & 28 & 46.4445 & -18.4445 \tabularnewline
204 & 36 & 41.8795 & -5.87946 \tabularnewline
205 & 39 & 38.4109 & 0.589098 \tabularnewline
206 & 16 & 38.2209 & -22.2209 \tabularnewline
207 & 23 & 38.3831 & -15.3831 \tabularnewline
208 & 40 & 40.6414 & -0.641378 \tabularnewline
209 & 24 & 41.3228 & -17.3228 \tabularnewline
210 & 78 & 38.0539 & 39.9461 \tabularnewline
211 & 57 & 38.9628 & 18.0372 \tabularnewline
212 & 37 & 41.3833 & -4.38326 \tabularnewline
213 & 27 & 41.0819 & -14.0819 \tabularnewline
214 & 61 & 41.1654 & 19.8346 \tabularnewline
215 & 27 & 39.2944 & -12.2944 \tabularnewline
216 & 69 & 40.0919 & 28.9081 \tabularnewline
217 & 34 & 42.7835 & -8.78354 \tabularnewline
218 & 44 & 38.7934 & 5.20665 \tabularnewline
219 & 34 & 41.7149 & -7.71486 \tabularnewline
220 & 39 & 39.0439 & -0.0438603 \tabularnewline
221 & 51 & 40.9149 & 10.0851 \tabularnewline
222 & 34 & 39.9552 & -5.95516 \tabularnewline
223 & 31 & 41.2767 & -10.2767 \tabularnewline
224 & 13 & 42.51 & -29.51 \tabularnewline
225 & 12 & 38.9071 & -26.9071 \tabularnewline
226 & 51 & 39.9528 & 11.0472 \tabularnewline
227 & 24 & 40.4187 & -16.4187 \tabularnewline
228 & 19 & 43.0619 & -24.0619 \tabularnewline
229 & 30 & 42.1832 & -12.1832 \tabularnewline
230 & 81 & 41.6059 & 39.3941 \tabularnewline
231 & 42 & 40.53 & 1.46996 \tabularnewline
232 & 22 & 43.5859 & -21.5859 \tabularnewline
233 & 85 & 41.7125 & 43.2875 \tabularnewline
234 & 27 & 41.5527 & -14.5527 \tabularnewline
235 & 25 & 39.1552 & -14.1552 \tabularnewline
236 & 22 & 41.1908 & -19.1908 \tabularnewline
237 & 19 & 43.2265 & -24.2265 \tabularnewline
238 & 14 & 40.4768 & -26.4768 \tabularnewline
239 & 45 & 41.8262 & 3.1738 \tabularnewline
240 & 45 & 42.8598 & 2.14019 \tabularnewline
241 & 28 & 43.2289 & -15.2289 \tabularnewline
242 & 51 & 44.5505 & 6.44953 \tabularnewline
243 & 41 & 37.0385 & 3.96154 \tabularnewline
244 & 31 & 42.4289 & -11.4289 \tabularnewline
245 & 74 & 41.3809 & 32.6191 \tabularnewline
246 & 19 & 41.1884 & -22.1884 \tabularnewline
247 & 51 & 39.7349 & 11.2651 \tabularnewline
248 & 73 & 40.6922 & 32.3078 \tabularnewline
249 & 24 & 39.6744 & -15.6744 \tabularnewline
250 & 61 & 42.9808 & 18.0192 \tabularnewline
251 & 23 & 42.9808 & -19.9808 \tabularnewline
252 & 14 & 40.4768 & -26.4768 \tabularnewline
253 & 54 & 40.1452 & 13.8548 \tabularnewline
254 & 51 & 40.3098 & 10.6902 \tabularnewline
255 & 62 & 35.4894 & 26.5106 \tabularnewline
256 & 36 & 38.7123 & -2.71226 \tabularnewline
257 & 59 & 42.4846 & 16.5154 \tabularnewline
258 & 24 & 40.2844 & -16.2844 \tabularnewline
259 & 26 & 41.14 & -15.14 \tabularnewline
260 & 54 & 40.0084 & 13.9916 \tabularnewline
261 & 39 & 40.8568 & -1.85683 \tabularnewline
262 & 16 & 44.214 & -28.214 \tabularnewline
263 & 36 & 39.8438 & -3.84382 \tabularnewline
264 & 31 & 41.6822 & -10.6822 \tabularnewline
265 & 31 & 43.5302 & -12.5302 \tabularnewline
266 & 42 & 41.3554 & 0.64457 \tabularnewline
267 & 39 & 42.2341 & -3.23408 \tabularnewline
268 & 25 & 40.305 & -15.305 \tabularnewline
269 & 31 & 43.5351 & -12.5351 \tabularnewline
270 & 38 & 43.834 & -5.834 \tabularnewline
271 & 31 & 42.3757 & -11.3757 \tabularnewline
272 & 17 & 40.9451 & -23.9451 \tabularnewline
273 & 22 & 38.1095 & -16.1095 \tabularnewline
274 & 55 & 40.8338 & 14.1662 \tabularnewline
275 & 62 & 41.687 & 20.313 \tabularnewline
276 & 51 & 42.8973 & 8.10272 \tabularnewline
277 & 30 & 41.2974 & -11.2974 \tabularnewline
278 & 49 & 41.0819 & 7.91809 \tabularnewline
279 & 16 & 39.5933 & -23.5933 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268258&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]68[/C][C]38.2947[/C][C]29.7053[/C][/ROW]
[ROW][C]2[/C][C]39[/C][C]42.8138[/C][C]-3.81378[/C][/ROW]
[ROW][C]3[/C][C]32[/C][C]39.9479[/C][C]-7.94793[/C][/ROW]
[ROW][C]4[/C][C]62[/C][C]43.2845[/C][C]18.7155[/C][/ROW]
[ROW][C]5[/C][C]33[/C][C]41.2695[/C][C]-8.26952[/C][/ROW]
[ROW][C]6[/C][C]52[/C][C]41.1352[/C][C]10.8648[/C][/ROW]
[ROW][C]7[/C][C]62[/C][C]39.5957[/C][C]22.4043[/C][/ROW]
[ROW][C]8[/C][C]77[/C][C]41.6544[/C][C]35.3456[/C][/ROW]
[ROW][C]9[/C][C]76[/C][C]44.5274[/C][C]31.4726[/C][/ROW]
[ROW][C]10[/C][C]41[/C][C]48.865[/C][C]-7.86502[/C][/ROW]
[ROW][C]11[/C][C]48[/C][C]40.2819[/C][C]7.71806[/C][/ROW]
[ROW][C]12[/C][C]63[/C][C]45.0999[/C][C]17.9001[/C][/ROW]
[ROW][C]13[/C][C]30[/C][C]38.6336[/C][C]-8.63357[/C][/ROW]
[ROW][C]14[/C][C]78[/C][C]40.9173[/C][C]37.0827[/C][/ROW]
[ROW][C]15[/C][C]19[/C][C]42.7351[/C][C]-23.7351[/C][/ROW]
[ROW][C]16[/C][C]31[/C][C]41.9908[/C][C]-10.9908[/C][/ROW]
[ROW][C]17[/C][C]66[/C][C]38.9604[/C][C]27.0396[/C][/ROW]
[ROW][C]18[/C][C]35[/C][C]41.0541[/C][C]-6.05407[/C][/ROW]
[ROW][C]19[/C][C]42[/C][C]42.7859[/C][C]-0.785944[/C][/ROW]
[ROW][C]20[/C][C]45[/C][C]42.9021[/C][C]2.0979[/C][/ROW]
[ROW][C]21[/C][C]21[/C][C]42.844[/C][C]-21.844[/C][/ROW]
[ROW][C]22[/C][C]25[/C][C]42.7884[/C][C]-17.7884[/C][/ROW]
[ROW][C]23[/C][C]44[/C][C]41.3022[/C][C]2.69783[/C][/ROW]
[ROW][C]24[/C][C]69[/C][C]40.8895[/C][C]28.1105[/C][/ROW]
[ROW][C]25[/C][C]54[/C][C]42.9808[/C][C]11.0192[/C][/ROW]
[ROW][C]26[/C][C]74[/C][C]40.3933[/C][C]33.6067[/C][/ROW]
[ROW][C]27[/C][C]80[/C][C]41.6592[/C][C]38.3408[/C][/ROW]
[ROW][C]28[/C][C]42[/C][C]41.6846[/C][C]0.315377[/C][/ROW]
[ROW][C]29[/C][C]61[/C][C]43.3935[/C][C]17.6065[/C][/ROW]
[ROW][C]30[/C][C]41[/C][C]39.2387[/C][C]1.7613[/C][/ROW]
[ROW][C]31[/C][C]46[/C][C]35.1069[/C][C]10.8931[/C][/ROW]
[ROW][C]32[/C][C]39[/C][C]42.5378[/C][C]-3.53785[/C][/ROW]
[ROW][C]33[/C][C]34[/C][C]41.1097[/C][C]-7.10974[/C][/ROW]
[ROW][C]34[/C][C]51[/C][C]38.3831[/C][C]12.6169[/C][/ROW]
[ROW][C]35[/C][C]42[/C][C]39.7603[/C][C]2.23968[/C][/ROW]
[ROW][C]36[/C][C]31[/C][C]41.9327[/C][C]-10.9327[/C][/ROW]
[ROW][C]37[/C][C]39[/C][C]40.6135[/C][C]-1.61354[/C][/ROW]
[ROW][C]38[/C][C]20[/C][C]42.2087[/C][C]-22.2087[/C][/ROW]
[ROW][C]39[/C][C]49[/C][C]44.4646[/C][C]4.53544[/C][/ROW]
[ROW][C]40[/C][C]53[/C][C]37.9171[/C][C]15.0829[/C][/ROW]
[ROW][C]41[/C][C]31[/C][C]40.7733[/C][C]-9.77332[/C][/ROW]
[ROW][C]42[/C][C]39[/C][C]41.4087[/C][C]-2.40869[/C][/ROW]
[ROW][C]43[/C][C]54[/C][C]40.1173[/C][C]13.8827[/C][/ROW]
[ROW][C]44[/C][C]49[/C][C]35.2739[/C][C]13.7261[/C][/ROW]
[ROW][C]45[/C][C]34[/C][C]36.2894[/C][C]-2.28935[/C][/ROW]
[ROW][C]46[/C][C]46[/C][C]44.2745[/C][C]1.72547[/C][/ROW]
[ROW][C]47[/C][C]55[/C][C]41.629[/C][C]13.371[/C][/ROW]
[ROW][C]48[/C][C]42[/C][C]42.3478[/C][C]-0.347823[/C][/ROW]
[ROW][C]49[/C][C]50[/C][C]42.3224[/C][C]7.6776[/C][/ROW]
[ROW][C]50[/C][C]13[/C][C]40.4187[/C][C]-27.4187[/C][/ROW]
[ROW][C]51[/C][C]37[/C][C]40.0919[/C][C]-3.09192[/C][/ROW]
[ROW][C]52[/C][C]25[/C][C]41.0795[/C][C]-16.0795[/C][/ROW]
[ROW][C]53[/C][C]30[/C][C]40.1149[/C][C]-10.1149[/C][/ROW]
[ROW][C]54[/C][C]28[/C][C]42.8997[/C][C]-14.8997[/C][/ROW]
[ROW][C]55[/C][C]45[/C][C]43.7227[/C][C]1.27733[/C][/ROW]
[ROW][C]56[/C][C]35[/C][C]41.2743[/C][C]-6.27434[/C][/ROW]
[ROW][C]57[/C][C]28[/C][C]36.788[/C][C]-8.78796[/C][/ROW]
[ROW][C]58[/C][C]41[/C][C]41.3833[/C][C]-0.383264[/C][/ROW]
[ROW][C]59[/C][C]6[/C][C]39.9782[/C][C]-33.9782[/C][/ROW]
[ROW][C]60[/C][C]45[/C][C]40.639[/C][C]4.36103[/C][/ROW]
[ROW][C]61[/C][C]73[/C][C]43.31[/C][C]29.69[/C][/ROW]
[ROW][C]62[/C][C]17[/C][C]41.0541[/C][C]-24.0541[/C][/ROW]
[ROW][C]63[/C][C]40[/C][C]36.788[/C][C]3.21204[/C][/ROW]
[ROW][C]64[/C][C]64[/C][C]39.9225[/C][C]24.0775[/C][/ROW]
[ROW][C]65[/C][C]37[/C][C]42.3176[/C][C]-5.31758[/C][/ROW]
[ROW][C]66[/C][C]25[/C][C]39.9503[/C][C]-14.9503[/C][/ROW]
[ROW][C]67[/C][C]65[/C][C]42.6794[/C][C]22.3206[/C][/ROW]
[ROW][C]68[/C][C]100[/C][C]43.2265[/C][C]56.7735[/C][/ROW]
[ROW][C]69[/C][C]28[/C][C]39.6212[/C][C]-11.6212[/C][/ROW]
[ROW][C]70[/C][C]35[/C][C]38.0236[/C][C]-3.02363[/C][/ROW]
[ROW][C]71[/C][C]56[/C][C]42.0695[/C][C]13.9305[/C][/ROW]
[ROW][C]72[/C][C]29[/C][C]41.1073[/C][C]-12.1073[/C][/ROW]
[ROW][C]73[/C][C]43[/C][C]42.9784[/C][C]0.021626[/C][/ROW]
[ROW][C]74[/C][C]59[/C][C]45.9507[/C][C]13.0493[/C][/ROW]
[ROW][C]75[/C][C]50[/C][C]35.3296[/C][C]14.6704[/C][/ROW]
[ROW][C]76[/C][C]3[/C][C]44.9862[/C][C]-41.9862[/C][/ROW]
[ROW][C]77[/C][C]59[/C][C]38.5477[/C][C]20.4523[/C][/ROW]
[ROW][C]78[/C][C]27[/C][C]39.206[/C][C]-12.206[/C][/ROW]
[ROW][C]79[/C][C]61[/C][C]44.0264[/C][C]16.9736[/C][/ROW]
[ROW][C]80[/C][C]28[/C][C]36.5931[/C][C]-8.59312[/C][/ROW]
[ROW][C]81[/C][C]51[/C][C]40.2008[/C][C]10.7992[/C][/ROW]
[ROW][C]82[/C][C]35[/C][C]40.2819[/C][C]-5.28194[/C][/ROW]
[ROW][C]83[/C][C]29[/C][C]40.2565[/C][C]-11.2565[/C][/ROW]
[ROW][C]84[/C][C]48[/C][C]39.1274[/C][C]8.87264[/C][/ROW]
[ROW][C]85[/C][C]25[/C][C]41.5224[/C][C]-16.5224[/C][/ROW]
[ROW][C]86[/C][C]44[/C][C]39.6466[/C][C]4.35342[/C][/ROW]
[ROW][C]87[/C][C]64[/C][C]42.6492[/C][C]21.3508[/C][/ROW]
[ROW][C]88[/C][C]32[/C][C]42.7048[/C][C]-10.7048[/C][/ROW]
[ROW][C]89[/C][C]20[/C][C]41.0565[/C][C]-21.0565[/C][/ROW]
[ROW][C]90[/C][C]28[/C][C]41.4389[/C][C]-13.4389[/C][/ROW]
[ROW][C]91[/C][C]34[/C][C]40.0363[/C][C]-6.03625[/C][/ROW]
[ROW][C]92[/C][C]31[/C][C]41.7125[/C][C]-10.7125[/C][/ROW]
[ROW][C]93[/C][C]26[/C][C]37.1704[/C][C]-11.1704[/C][/ROW]
[ROW][C]94[/C][C]58[/C][C]44.3024[/C][C]13.6976[/C][/ROW]
[ROW][C]95[/C][C]23[/C][C]36.7299[/C][C]-13.7299[/C][/ROW]
[ROW][C]96[/C][C]21[/C][C]41.2163[/C][C]-20.2163[/C][/ROW]
[ROW][C]97[/C][C]21[/C][C]43.2845[/C][C]-22.2845[/C][/ROW]
[ROW][C]98[/C][C]33[/C][C]42.4568[/C][C]-9.45675[/C][/ROW]
[ROW][C]99[/C][C]16[/C][C]41.6592[/C][C]-25.6592[/C][/ROW]
[ROW][C]100[/C][C]20[/C][C]39.125[/C][C]-19.125[/C][/ROW]
[ROW][C]101[/C][C]37[/C][C]42.0465[/C][C]-5.04647[/C][/ROW]
[ROW][C]102[/C][C]35[/C][C]41.687[/C][C]-6.68703[/C][/ROW]
[ROW][C]103[/C][C]33[/C][C]42.1021[/C][C]-9.10213[/C][/ROW]
[ROW][C]104[/C][C]27[/C][C]34.831[/C][C]-7.83101[/C][/ROW]
[ROW][C]105[/C][C]41[/C][C]41.7705[/C][C]-0.770533[/C][/ROW]
[ROW][C]106[/C][C]40[/C][C]40.7503[/C][C]-0.750306[/C][/ROW]
[ROW][C]107[/C][C]35[/C][C]41.2998[/C][C]-6.29976[/C][/ROW]
[ROW][C]108[/C][C]28[/C][C]42.9505[/C][C]-14.9505[/C][/ROW]
[ROW][C]109[/C][C]32[/C][C]39.1552[/C][C]-7.1552[/C][/ROW]
[ROW][C]110[/C][C]22[/C][C]42.7048[/C][C]-20.7048[/C][/ROW]
[ROW][C]111[/C][C]44[/C][C]42.5935[/C][C]1.40649[/C][/ROW]
[ROW][C]112[/C][C]27[/C][C]42.7884[/C][C]-15.7884[/C][/ROW]
[ROW][C]113[/C][C]17[/C][C]42.9251[/C][C]-25.9251[/C][/ROW]
[ROW][C]114[/C][C]12[/C][C]43.8292[/C][C]-31.8292[/C][/ROW]
[ROW][C]115[/C][C]45[/C][C]34.9375[/C][C]10.0625[/C][/ROW]
[ROW][C]116[/C][C]37[/C][C]39.4287[/C][C]-2.42872[/C][/ROW]
[ROW][C]117[/C][C]37[/C][C]41.2465[/C][C]-4.2465[/C][/ROW]
[ROW][C]118[/C][C]108[/C][C]42.6746[/C][C]65.3254[/C][/ROW]
[ROW][C]119[/C][C]10[/C][C]43.5278[/C][C]-33.5278[/C][/ROW]
[ROW][C]120[/C][C]68[/C][C]42.6189[/C][C]25.3811[/C][/ROW]
[ROW][C]121[/C][C]72[/C][C]43.0619[/C][C]28.9381[/C][/ROW]
[ROW][C]122[/C][C]143[/C][C]42.5124[/C][C]100.488[/C][/ROW]
[ROW][C]123[/C][C]9[/C][C]41.1352[/C][C]-32.1352[/C][/ROW]
[ROW][C]124[/C][C]55[/C][C]42.8368[/C][C]12.1632[/C][/ROW]
[ROW][C]125[/C][C]17[/C][C]42.3224[/C][C]-25.3224[/C][/ROW]
[ROW][C]126[/C][C]37[/C][C]41.3276[/C][C]-4.3276[/C][/ROW]
[ROW][C]127[/C][C]27[/C][C]41.2187[/C][C]-14.2187[/C][/ROW]
[ROW][C]128[/C][C]37[/C][C]38.0236[/C][C]-1.02363[/C][/ROW]
[ROW][C]129[/C][C]58[/C][C]41.5757[/C][C]16.4243[/C][/ROW]
[ROW][C]130[/C][C]66[/C][C]44.3859[/C][C]21.6141[/C][/ROW]
[ROW][C]131[/C][C]21[/C][C]41.2998[/C][C]-20.2998[/C][/ROW]
[ROW][C]132[/C][C]19[/C][C]41.2163[/C][C]-22.2163[/C][/ROW]
[ROW][C]133[/C][C]78[/C][C]42.32[/C][C]35.68[/C][/ROW]
[ROW][C]134[/C][C]35[/C][C]39.3476[/C][C]-4.34763[/C][/ROW]
[ROW][C]135[/C][C]48[/C][C]42.5959[/C][C]5.40408[/C][/ROW]
[ROW][C]136[/C][C]27[/C][C]37.7199[/C][C]-10.7199[/C][/ROW]
[ROW][C]137[/C][C]43[/C][C]45.2089[/C][C]-2.20885[/C][/ROW]
[ROW][C]138[/C][C]30[/C][C]40.3909[/C][C]-10.3909[/C][/ROW]
[ROW][C]139[/C][C]25[/C][C]40.4211[/C][C]-15.4211[/C][/ROW]
[ROW][C]140[/C][C]69[/C][C]41.5224[/C][C]27.4776[/C][/ROW]
[ROW][C]141[/C][C]72[/C][C]45.8116[/C][C]26.1884[/C][/ROW]
[ROW][C]142[/C][C]23[/C][C]38.682[/C][C]-15.682[/C][/ROW]
[ROW][C]143[/C][C]13[/C][C]39.0717[/C][C]-26.0717[/C][/ROW]
[ROW][C]144[/C][C]61[/C][C]43.3402[/C][C]17.6598[/C][/ROW]
[ROW][C]145[/C][C]43[/C][C]39.0184[/C][C]3.98157[/C][/ROW]
[ROW][C]146[/C][C]51[/C][C]41.2187[/C][C]9.78133[/C][/ROW]
[ROW][C]147[/C][C]67[/C][C]41.9836[/C][C]25.0164[/C][/ROW]
[ROW][C]148[/C][C]36[/C][C]48.2623[/C][C]-12.2623[/C][/ROW]
[ROW][C]149[/C][C]44[/C][C]42.0973[/C][C]1.90268[/C][/ROW]
[ROW][C]150[/C][C]45[/C][C]41.8492[/C][C]3.15078[/C][/ROW]
[ROW][C]151[/C][C]34[/C][C]42.4543[/C][C]-8.45434[/C][/ROW]
[ROW][C]152[/C][C]36[/C][C]40.2033[/C][C]-4.20326[/C][/ROW]
[ROW][C]153[/C][C]72[/C][C]42.9784[/C][C]29.0216[/C][/ROW]
[ROW][C]154[/C][C]39[/C][C]42.9784[/C][C]-3.97837[/C][/ROW]
[ROW][C]155[/C][C]43[/C][C]37.2237[/C][C]5.77633[/C][/ROW]
[ROW][C]156[/C][C]25[/C][C]44.7962[/C][C]-19.7962[/C][/ROW]
[ROW][C]157[/C][C]56[/C][C]45.3734[/C][C]10.6266[/C][/ROW]
[ROW][C]158[/C][C]80[/C][C]46.5304[/C][C]33.4696[/C][/ROW]
[ROW][C]159[/C][C]40[/C][C]40.6414[/C][C]-0.641378[/C][/ROW]
[ROW][C]160[/C][C]73[/C][C]45.3178[/C][C]27.6822[/C][/ROW]
[ROW][C]161[/C][C]34[/C][C]38.2996[/C][C]-4.29957[/C][/ROW]
[ROW][C]162[/C][C]72[/C][C]40.1984[/C][C]31.8016[/C][/ROW]
[ROW][C]163[/C][C]42[/C][C]41.687[/C][C]0.312969[/C][/ROW]
[ROW][C]164[/C][C]61[/C][C]40.4998[/C][C]20.5002[/C][/ROW]
[ROW][C]165[/C][C]23[/C][C]44.2721[/C][C]-21.2721[/C][/ROW]
[ROW][C]166[/C][C]74[/C][C]44.1862[/C][C]29.8138[/C][/ROW]
[ROW][C]167[/C][C]16[/C][C]40.5022[/C][C]-24.5022[/C][/ROW]
[ROW][C]168[/C][C]66[/C][C]39.5957[/C][C]26.4043[/C][/ROW]
[ROW][C]169[/C][C]9[/C][C]41.1908[/C][C]-32.1908[/C][/ROW]
[ROW][C]170[/C][C]41[/C][C]44.9886[/C][C]-3.98859[/C][/ROW]
[ROW][C]171[/C][C]57[/C][C]42.5403[/C][C]14.4597[/C][/ROW]
[ROW][C]172[/C][C]48[/C][C]45.3783[/C][C]2.62174[/C][/ROW]
[ROW][C]173[/C][C]51[/C][C]41.4922[/C][C]9.50781[/C][/ROW]
[ROW][C]174[/C][C]53[/C][C]41.2465[/C][C]11.7535[/C][/ROW]
[ROW][C]175[/C][C]29[/C][C]43.3632[/C][C]-14.3632[/C][/ROW]
[ROW][C]176[/C][C]29[/C][C]42.9784[/C][C]-13.9784[/C][/ROW]
[ROW][C]177[/C][C]55[/C][C]39.6236[/C][C]15.3764[/C][/ROW]
[ROW][C]178[/C][C]54[/C][C]41.9581[/C][C]12.0419[/C][/ROW]
[ROW][C]179[/C][C]43[/C][C]35.7653[/C][C]7.23468[/C][/ROW]
[ROW][C]180[/C][C]51[/C][C]40.4187[/C][C]10.5813[/C][/ROW]
[ROW][C]181[/C][C]20[/C][C]39.0439[/C][C]-19.0439[/C][/ROW]
[ROW][C]182[/C][C]79[/C][C]42.0416[/C][C]36.9584[/C][/ROW]
[ROW][C]183[/C][C]39[/C][C]39.6187[/C][C]-0.618743[/C][/ROW]
[ROW][C]184[/C][C]61[/C][C]40.3376[/C][C]20.6624[/C][/ROW]
[ROW][C]185[/C][C]55[/C][C]41.1097[/C][C]13.8903[/C][/ROW]
[ROW][C]186[/C][C]30[/C][C]37.968[/C][C]-7.96797[/C][/ROW]
[ROW][C]187[/C][C]55[/C][C]43.034[/C][C]11.966[/C][/ROW]
[ROW][C]188[/C][C]22[/C][C]42.8973[/C][C]-20.8973[/C][/ROW]
[ROW][C]189[/C][C]37[/C][C]42.5681[/C][C]-5.56809[/C][/ROW]
[ROW][C]190[/C][C]2[/C][C]43.3656[/C][C]-41.3656[/C][/ROW]
[ROW][C]191[/C][C]38[/C][C]40.0084[/C][C]-2.00842[/C][/ROW]
[ROW][C]192[/C][C]27[/C][C]40.3909[/C][C]-13.3909[/C][/ROW]
[ROW][C]193[/C][C]56[/C][C]42.5148[/C][C]13.4852[/C][/ROW]
[ROW][C]194[/C][C]25[/C][C]44.024[/C][C]-19.024[/C][/ROW]
[ROW][C]195[/C][C]39[/C][C]43.5859[/C][C]-4.58591[/C][/ROW]
[ROW][C]196[/C][C]33[/C][C]39.9758[/C][C]-6.97577[/C][/ROW]
[ROW][C]197[/C][C]43[/C][C]44.1584[/C][C]-1.15838[/C][/ROW]
[ROW][C]198[/C][C]57[/C][C]38.9071[/C][C]18.0929[/C][/ROW]
[ROW][C]199[/C][C]43[/C][C]40.8314[/C][C]2.1686[/C][/ROW]
[ROW][C]200[/C][C]23[/C][C]40.2263[/C][C]-17.2263[/C][/ROW]
[ROW][C]201[/C][C]44[/C][C]44.4113[/C][C]-0.411295[/C][/ROW]
[ROW][C]202[/C][C]54[/C][C]48.8856[/C][C]5.11437[/C][/ROW]
[ROW][C]203[/C][C]28[/C][C]46.4445[/C][C]-18.4445[/C][/ROW]
[ROW][C]204[/C][C]36[/C][C]41.8795[/C][C]-5.87946[/C][/ROW]
[ROW][C]205[/C][C]39[/C][C]38.4109[/C][C]0.589098[/C][/ROW]
[ROW][C]206[/C][C]16[/C][C]38.2209[/C][C]-22.2209[/C][/ROW]
[ROW][C]207[/C][C]23[/C][C]38.3831[/C][C]-15.3831[/C][/ROW]
[ROW][C]208[/C][C]40[/C][C]40.6414[/C][C]-0.641378[/C][/ROW]
[ROW][C]209[/C][C]24[/C][C]41.3228[/C][C]-17.3228[/C][/ROW]
[ROW][C]210[/C][C]78[/C][C]38.0539[/C][C]39.9461[/C][/ROW]
[ROW][C]211[/C][C]57[/C][C]38.9628[/C][C]18.0372[/C][/ROW]
[ROW][C]212[/C][C]37[/C][C]41.3833[/C][C]-4.38326[/C][/ROW]
[ROW][C]213[/C][C]27[/C][C]41.0819[/C][C]-14.0819[/C][/ROW]
[ROW][C]214[/C][C]61[/C][C]41.1654[/C][C]19.8346[/C][/ROW]
[ROW][C]215[/C][C]27[/C][C]39.2944[/C][C]-12.2944[/C][/ROW]
[ROW][C]216[/C][C]69[/C][C]40.0919[/C][C]28.9081[/C][/ROW]
[ROW][C]217[/C][C]34[/C][C]42.7835[/C][C]-8.78354[/C][/ROW]
[ROW][C]218[/C][C]44[/C][C]38.7934[/C][C]5.20665[/C][/ROW]
[ROW][C]219[/C][C]34[/C][C]41.7149[/C][C]-7.71486[/C][/ROW]
[ROW][C]220[/C][C]39[/C][C]39.0439[/C][C]-0.0438603[/C][/ROW]
[ROW][C]221[/C][C]51[/C][C]40.9149[/C][C]10.0851[/C][/ROW]
[ROW][C]222[/C][C]34[/C][C]39.9552[/C][C]-5.95516[/C][/ROW]
[ROW][C]223[/C][C]31[/C][C]41.2767[/C][C]-10.2767[/C][/ROW]
[ROW][C]224[/C][C]13[/C][C]42.51[/C][C]-29.51[/C][/ROW]
[ROW][C]225[/C][C]12[/C][C]38.9071[/C][C]-26.9071[/C][/ROW]
[ROW][C]226[/C][C]51[/C][C]39.9528[/C][C]11.0472[/C][/ROW]
[ROW][C]227[/C][C]24[/C][C]40.4187[/C][C]-16.4187[/C][/ROW]
[ROW][C]228[/C][C]19[/C][C]43.0619[/C][C]-24.0619[/C][/ROW]
[ROW][C]229[/C][C]30[/C][C]42.1832[/C][C]-12.1832[/C][/ROW]
[ROW][C]230[/C][C]81[/C][C]41.6059[/C][C]39.3941[/C][/ROW]
[ROW][C]231[/C][C]42[/C][C]40.53[/C][C]1.46996[/C][/ROW]
[ROW][C]232[/C][C]22[/C][C]43.5859[/C][C]-21.5859[/C][/ROW]
[ROW][C]233[/C][C]85[/C][C]41.7125[/C][C]43.2875[/C][/ROW]
[ROW][C]234[/C][C]27[/C][C]41.5527[/C][C]-14.5527[/C][/ROW]
[ROW][C]235[/C][C]25[/C][C]39.1552[/C][C]-14.1552[/C][/ROW]
[ROW][C]236[/C][C]22[/C][C]41.1908[/C][C]-19.1908[/C][/ROW]
[ROW][C]237[/C][C]19[/C][C]43.2265[/C][C]-24.2265[/C][/ROW]
[ROW][C]238[/C][C]14[/C][C]40.4768[/C][C]-26.4768[/C][/ROW]
[ROW][C]239[/C][C]45[/C][C]41.8262[/C][C]3.1738[/C][/ROW]
[ROW][C]240[/C][C]45[/C][C]42.8598[/C][C]2.14019[/C][/ROW]
[ROW][C]241[/C][C]28[/C][C]43.2289[/C][C]-15.2289[/C][/ROW]
[ROW][C]242[/C][C]51[/C][C]44.5505[/C][C]6.44953[/C][/ROW]
[ROW][C]243[/C][C]41[/C][C]37.0385[/C][C]3.96154[/C][/ROW]
[ROW][C]244[/C][C]31[/C][C]42.4289[/C][C]-11.4289[/C][/ROW]
[ROW][C]245[/C][C]74[/C][C]41.3809[/C][C]32.6191[/C][/ROW]
[ROW][C]246[/C][C]19[/C][C]41.1884[/C][C]-22.1884[/C][/ROW]
[ROW][C]247[/C][C]51[/C][C]39.7349[/C][C]11.2651[/C][/ROW]
[ROW][C]248[/C][C]73[/C][C]40.6922[/C][C]32.3078[/C][/ROW]
[ROW][C]249[/C][C]24[/C][C]39.6744[/C][C]-15.6744[/C][/ROW]
[ROW][C]250[/C][C]61[/C][C]42.9808[/C][C]18.0192[/C][/ROW]
[ROW][C]251[/C][C]23[/C][C]42.9808[/C][C]-19.9808[/C][/ROW]
[ROW][C]252[/C][C]14[/C][C]40.4768[/C][C]-26.4768[/C][/ROW]
[ROW][C]253[/C][C]54[/C][C]40.1452[/C][C]13.8548[/C][/ROW]
[ROW][C]254[/C][C]51[/C][C]40.3098[/C][C]10.6902[/C][/ROW]
[ROW][C]255[/C][C]62[/C][C]35.4894[/C][C]26.5106[/C][/ROW]
[ROW][C]256[/C][C]36[/C][C]38.7123[/C][C]-2.71226[/C][/ROW]
[ROW][C]257[/C][C]59[/C][C]42.4846[/C][C]16.5154[/C][/ROW]
[ROW][C]258[/C][C]24[/C][C]40.2844[/C][C]-16.2844[/C][/ROW]
[ROW][C]259[/C][C]26[/C][C]41.14[/C][C]-15.14[/C][/ROW]
[ROW][C]260[/C][C]54[/C][C]40.0084[/C][C]13.9916[/C][/ROW]
[ROW][C]261[/C][C]39[/C][C]40.8568[/C][C]-1.85683[/C][/ROW]
[ROW][C]262[/C][C]16[/C][C]44.214[/C][C]-28.214[/C][/ROW]
[ROW][C]263[/C][C]36[/C][C]39.8438[/C][C]-3.84382[/C][/ROW]
[ROW][C]264[/C][C]31[/C][C]41.6822[/C][C]-10.6822[/C][/ROW]
[ROW][C]265[/C][C]31[/C][C]43.5302[/C][C]-12.5302[/C][/ROW]
[ROW][C]266[/C][C]42[/C][C]41.3554[/C][C]0.64457[/C][/ROW]
[ROW][C]267[/C][C]39[/C][C]42.2341[/C][C]-3.23408[/C][/ROW]
[ROW][C]268[/C][C]25[/C][C]40.305[/C][C]-15.305[/C][/ROW]
[ROW][C]269[/C][C]31[/C][C]43.5351[/C][C]-12.5351[/C][/ROW]
[ROW][C]270[/C][C]38[/C][C]43.834[/C][C]-5.834[/C][/ROW]
[ROW][C]271[/C][C]31[/C][C]42.3757[/C][C]-11.3757[/C][/ROW]
[ROW][C]272[/C][C]17[/C][C]40.9451[/C][C]-23.9451[/C][/ROW]
[ROW][C]273[/C][C]22[/C][C]38.1095[/C][C]-16.1095[/C][/ROW]
[ROW][C]274[/C][C]55[/C][C]40.8338[/C][C]14.1662[/C][/ROW]
[ROW][C]275[/C][C]62[/C][C]41.687[/C][C]20.313[/C][/ROW]
[ROW][C]276[/C][C]51[/C][C]42.8973[/C][C]8.10272[/C][/ROW]
[ROW][C]277[/C][C]30[/C][C]41.2974[/C][C]-11.2974[/C][/ROW]
[ROW][C]278[/C][C]49[/C][C]41.0819[/C][C]7.91809[/C][/ROW]
[ROW][C]279[/C][C]16[/C][C]39.5933[/C][C]-23.5933[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268258&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268258&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
16838.294729.7053
23942.8138-3.81378
33239.9479-7.94793
46243.284518.7155
53341.2695-8.26952
65241.135210.8648
76239.595722.4043
87741.654435.3456
97644.527431.4726
104148.865-7.86502
114840.28197.71806
126345.099917.9001
133038.6336-8.63357
147840.917337.0827
151942.7351-23.7351
163141.9908-10.9908
176638.960427.0396
183541.0541-6.05407
194242.7859-0.785944
204542.90212.0979
212142.844-21.844
222542.7884-17.7884
234441.30222.69783
246940.889528.1105
255442.980811.0192
267440.393333.6067
278041.659238.3408
284241.68460.315377
296143.393517.6065
304139.23871.7613
314635.106910.8931
323942.5378-3.53785
333441.1097-7.10974
345138.383112.6169
354239.76032.23968
363141.9327-10.9327
373940.6135-1.61354
382042.2087-22.2087
394944.46464.53544
405337.917115.0829
413140.7733-9.77332
423941.4087-2.40869
435440.117313.8827
444935.273913.7261
453436.2894-2.28935
464644.27451.72547
475541.62913.371
484242.3478-0.347823
495042.32247.6776
501340.4187-27.4187
513740.0919-3.09192
522541.0795-16.0795
533040.1149-10.1149
542842.8997-14.8997
554543.72271.27733
563541.2743-6.27434
572836.788-8.78796
584141.3833-0.383264
59639.9782-33.9782
604540.6394.36103
617343.3129.69
621741.0541-24.0541
634036.7883.21204
646439.922524.0775
653742.3176-5.31758
662539.9503-14.9503
676542.679422.3206
6810043.226556.7735
692839.6212-11.6212
703538.0236-3.02363
715642.069513.9305
722941.1073-12.1073
734342.97840.021626
745945.950713.0493
755035.329614.6704
76344.9862-41.9862
775938.547720.4523
782739.206-12.206
796144.026416.9736
802836.5931-8.59312
815140.200810.7992
823540.2819-5.28194
832940.2565-11.2565
844839.12748.87264
852541.5224-16.5224
864439.64664.35342
876442.649221.3508
883242.7048-10.7048
892041.0565-21.0565
902841.4389-13.4389
913440.0363-6.03625
923141.7125-10.7125
932637.1704-11.1704
945844.302413.6976
952336.7299-13.7299
962141.2163-20.2163
972143.2845-22.2845
983342.4568-9.45675
991641.6592-25.6592
1002039.125-19.125
1013742.0465-5.04647
1023541.687-6.68703
1033342.1021-9.10213
1042734.831-7.83101
1054141.7705-0.770533
1064040.7503-0.750306
1073541.2998-6.29976
1082842.9505-14.9505
1093239.1552-7.1552
1102242.7048-20.7048
1114442.59351.40649
1122742.7884-15.7884
1131742.9251-25.9251
1141243.8292-31.8292
1154534.937510.0625
1163739.4287-2.42872
1173741.2465-4.2465
11810842.674665.3254
1191043.5278-33.5278
1206842.618925.3811
1217243.061928.9381
12214342.5124100.488
123941.1352-32.1352
1245542.836812.1632
1251742.3224-25.3224
1263741.3276-4.3276
1272741.2187-14.2187
1283738.0236-1.02363
1295841.575716.4243
1306644.385921.6141
1312141.2998-20.2998
1321941.2163-22.2163
1337842.3235.68
1343539.3476-4.34763
1354842.59595.40408
1362737.7199-10.7199
1374345.2089-2.20885
1383040.3909-10.3909
1392540.4211-15.4211
1406941.522427.4776
1417245.811626.1884
1422338.682-15.682
1431339.0717-26.0717
1446143.340217.6598
1454339.01843.98157
1465141.21879.78133
1476741.983625.0164
1483648.2623-12.2623
1494442.09731.90268
1504541.84923.15078
1513442.4543-8.45434
1523640.2033-4.20326
1537242.978429.0216
1543942.9784-3.97837
1554337.22375.77633
1562544.7962-19.7962
1575645.373410.6266
1588046.530433.4696
1594040.6414-0.641378
1607345.317827.6822
1613438.2996-4.29957
1627240.198431.8016
1634241.6870.312969
1646140.499820.5002
1652344.2721-21.2721
1667444.186229.8138
1671640.5022-24.5022
1686639.595726.4043
169941.1908-32.1908
1704144.9886-3.98859
1715742.540314.4597
1724845.37832.62174
1735141.49229.50781
1745341.246511.7535
1752943.3632-14.3632
1762942.9784-13.9784
1775539.623615.3764
1785441.958112.0419
1794335.76537.23468
1805140.418710.5813
1812039.0439-19.0439
1827942.041636.9584
1833939.6187-0.618743
1846140.337620.6624
1855541.109713.8903
1863037.968-7.96797
1875543.03411.966
1882242.8973-20.8973
1893742.5681-5.56809
190243.3656-41.3656
1913840.0084-2.00842
1922740.3909-13.3909
1935642.514813.4852
1942544.024-19.024
1953943.5859-4.58591
1963339.9758-6.97577
1974344.1584-1.15838
1985738.907118.0929
1994340.83142.1686
2002340.2263-17.2263
2014444.4113-0.411295
2025448.88565.11437
2032846.4445-18.4445
2043641.8795-5.87946
2053938.41090.589098
2061638.2209-22.2209
2072338.3831-15.3831
2084040.6414-0.641378
2092441.3228-17.3228
2107838.053939.9461
2115738.962818.0372
2123741.3833-4.38326
2132741.0819-14.0819
2146141.165419.8346
2152739.2944-12.2944
2166940.091928.9081
2173442.7835-8.78354
2184438.79345.20665
2193441.7149-7.71486
2203939.0439-0.0438603
2215140.914910.0851
2223439.9552-5.95516
2233141.2767-10.2767
2241342.51-29.51
2251238.9071-26.9071
2265139.952811.0472
2272440.4187-16.4187
2281943.0619-24.0619
2293042.1832-12.1832
2308141.605939.3941
2314240.531.46996
2322243.5859-21.5859
2338541.712543.2875
2342741.5527-14.5527
2352539.1552-14.1552
2362241.1908-19.1908
2371943.2265-24.2265
2381440.4768-26.4768
2394541.82623.1738
2404542.85982.14019
2412843.2289-15.2289
2425144.55056.44953
2434137.03853.96154
2443142.4289-11.4289
2457441.380932.6191
2461941.1884-22.1884
2475139.734911.2651
2487340.692232.3078
2492439.6744-15.6744
2506142.980818.0192
2512342.9808-19.9808
2521440.4768-26.4768
2535440.145213.8548
2545140.309810.6902
2556235.489426.5106
2563638.7123-2.71226
2575942.484616.5154
2582440.2844-16.2844
2592641.14-15.14
2605440.008413.9916
2613940.8568-1.85683
2621644.214-28.214
2633639.8438-3.84382
2643141.6822-10.6822
2653143.5302-12.5302
2664241.35540.64457
2673942.2341-3.23408
2682540.305-15.305
2693143.5351-12.5351
2703843.834-5.834
2713142.3757-11.3757
2721740.9451-23.9451
2732238.1095-16.1095
2745540.833814.1662
2756241.68720.313
2765142.89738.10272
2773041.2974-11.2974
2784941.08197.91809
2791639.5933-23.5933






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.3302450.6604910.669755
70.2998920.5997830.700108
80.6173160.7653680.382684
90.5676860.8646290.432314
100.4507480.9014960.549252
110.3697390.7394780.630261
120.2912390.5824780.708761
130.4238890.8477780.576111
140.4634680.9269360.536532
150.690520.618960.30948
160.6976340.6047320.302366
170.6712670.6574660.328733
180.648130.703740.35187
190.5883610.8232780.411639
200.522060.955880.47794
210.5927880.8144230.407212
220.6105740.7788520.389426
230.5471020.9057970.452898
240.5624090.8751830.437591
250.5072350.9855290.492765
260.5493390.9013230.450661
270.6404790.7190410.359521
280.593310.8133810.40669
290.5612360.8775270.438764
300.5232790.9534410.476721
310.4769930.9539870.523007
320.4365870.8731740.563413
330.4172830.8345650.582717
340.3671030.7342060.632897
350.3248970.6497930.675103
360.3177350.6354710.682265
370.283010.566020.71699
380.3356180.6712360.664382
390.2906680.5813350.709332
400.2532650.5065290.746735
410.2398310.4796620.760169
420.2072810.4145620.792719
430.1790060.3580110.820994
440.1512890.3025790.848711
450.1372320.2744650.862768
460.112160.224320.88784
470.09666450.1933290.903335
480.07902440.1580490.920976
490.06332940.1266590.936671
500.1044730.2089460.895527
510.09056880.1811380.909431
520.09451460.1890290.905485
530.08631890.1726380.913681
540.08700160.1740030.912998
550.07034030.1406810.92966
560.06053610.1210720.939464
570.05808280.1161660.941917
580.04659440.09318880.953406
590.09075890.1815180.909241
600.07447480.148950.925525
610.09858610.1971720.901414
620.1222920.2445850.877708
630.102490.2049790.89751
640.1110940.2221890.888906
650.09476230.1895250.905238
660.09242290.1848460.907577
670.09490210.1898040.905098
680.3040980.6081950.695902
690.2892460.5784920.710754
700.2581770.5163530.741823
710.2394850.478970.760515
720.2271960.4543910.772804
730.1986980.3973960.801302
740.1810090.3620180.818991
750.1662950.3325910.833705
760.2879290.5758590.712071
770.2853560.5707120.714644
780.2690410.5380810.730959
790.2577490.5154980.742251
800.237930.4758590.76207
810.2146980.4293960.785302
820.1919110.3838230.808089
830.1822120.3644250.817788
840.1610820.3221630.838918
850.1628630.3257260.837137
860.1415510.2831030.858449
870.1443490.2886980.855651
880.1332010.2664030.866799
890.1480950.2961910.851905
900.1408580.2817160.859142
910.1249010.2498020.875099
920.1135660.2271330.886434
930.1036660.2073310.896334
940.09437630.1887530.905624
950.08795740.1759150.912043
960.09093670.1818730.909063
970.1014230.2028460.898577
980.09053490.181070.909465
990.1064240.2128480.893576
1000.1072040.2144070.892796
1010.093310.186620.90669
1020.08125110.1625020.918749
1030.07240230.1448050.927598
1040.06268930.1253790.937311
1050.0524490.1048980.947551
1060.04352840.08705670.956472
1070.03666070.07332130.963339
1080.03392920.06785840.966071
1090.02874720.05749450.971253
1100.0302050.060410.969795
1110.02463840.04927680.975362
1120.02334180.04668370.976658
1130.02811840.05623680.971882
1140.03826230.07652470.961738
1150.03373240.06746480.966268
1160.02772440.05544870.972276
1170.02280890.04561780.977191
1180.1559970.3119930.844003
1190.2004660.4009320.799534
1200.2224440.4448880.777556
1210.257890.5157810.74211
1220.9466320.1067360.0533679
1230.9614250.07714930.0385747
1240.9570460.08590820.0429541
1250.9626480.07470340.0373517
1260.9555020.08899510.0444975
1270.9517370.09652660.0482633
1280.9425130.1149740.0574872
1290.9397820.1204350.0602177
1300.9424760.1150480.0575238
1310.9436240.1127530.0563765
1320.9468120.1063760.0531879
1330.966210.0675810.0337905
1340.959640.08071980.0403599
1350.9523730.09525340.0476267
1360.9463370.1073260.053663
1370.9364690.1270610.0635307
1380.928580.142840.0714202
1390.9244050.1511910.0755955
1400.9368740.1262520.0631258
1410.946440.1071190.0535597
1420.9438730.1122540.0561268
1430.9522460.09550760.0477538
1440.9519950.09600940.0480047
1450.9431630.1136750.0568374
1460.9357040.1285910.0642956
1470.9428620.1142760.0571381
1480.936420.1271590.0635797
1490.9251020.1497960.0748981
1500.9125290.1749420.0874709
1510.9008240.1983530.0991763
1520.8856650.2286690.114335
1530.9077670.1844670.0922333
1540.8932180.2135650.106782
1550.8776650.2446690.122335
1560.8773550.2452910.122645
1570.8666960.2666080.133304
1580.9102350.179530.0897652
1590.8953070.2093860.104693
1600.9189770.1620460.081023
1610.9065450.1869110.0934554
1620.9304840.1390310.0695155
1630.918250.1635010.0817503
1640.9205730.1588530.0794267
1650.9212370.1575260.0787632
1660.9437330.1125340.0562669
1670.9501320.09973590.049868
1680.9587230.08255330.0412767
1690.9711660.05766810.028834
1700.9652490.06950170.0347509
1710.9640540.07189140.0359457
1720.9587360.08252880.0412644
1730.9532740.09345210.0467261
1740.9489220.1021560.0510779
1750.9432090.1135810.0567907
1760.9368080.1263840.0631921
1770.9335620.1328760.0664379
1780.9279520.1440960.072048
1790.9155770.1688470.0844233
1800.9062410.1875170.0937587
1810.9075940.1848120.0924058
1820.9496450.100710.0503552
1830.9393840.1212330.0606164
1840.9435550.1128890.0564446
1850.9411240.1177530.0588764
1860.9328260.1343480.0671738
1870.9302080.1395850.0697923
1880.928830.1423410.0711703
1890.915880.168240.08412
1900.9524680.09506340.0475317
1910.94240.1151990.0575996
1920.9363490.1273010.0636505
1930.9353720.1292560.0646282
1940.9312580.1374830.0687417
1950.9182580.1634830.0817417
1960.9053310.1893370.0946686
1970.889040.2219210.11096
1980.8878480.2243040.112152
1990.8691260.2617480.130874
2000.8646040.2707930.135396
2010.8454020.3091960.154598
2020.8410040.3179920.158996
2030.8250530.3498940.174947
2040.7994840.4010320.200516
2050.7707010.4585990.229299
2060.7919470.4161060.208053
2070.7907550.4184890.209245
2080.760770.4784590.23923
2090.7506660.4986690.249334
2100.8346680.3306630.165332
2110.8315820.3368360.168418
2120.8049420.3901160.195058
2130.7875020.4249950.212498
2140.8018960.3962080.198104
2150.7841930.4316140.215807
2160.8332680.3334640.166732
2170.8078540.3842920.192146
2180.7789330.4421350.221067
2190.7479420.5041160.252058
2200.7123960.5752080.287604
2210.6917960.6164070.308204
2220.654410.6911810.34559
2230.618830.7623390.38117
2240.6547010.6905970.345299
2250.6975520.6048950.302448
2260.6735930.6528130.326407
2270.6608150.678370.339185
2280.6650410.6699180.334959
2290.6315080.7369840.368492
2300.8010120.3979770.198988
2310.7675880.4648230.232412
2320.75780.48440.2422
2330.9121140.1757720.0878862
2340.8967350.206530.103265
2350.8862590.2274830.113741
2360.8817850.2364310.118215
2370.8855610.2288780.114439
2380.9063750.187250.0936252
2390.8862870.2274250.113713
2400.8602620.2794760.139738
2410.8393660.3212690.160634
2420.8261450.347710.173855
2430.7892670.4214650.210733
2440.754650.49070.24535
2450.8580730.2838540.141927
2460.8634240.2731510.136576
2470.8450220.3099560.154978
2480.9245070.1509860.075493
2490.9170120.1659750.0829876
2500.9415110.1169780.0584888
2510.9318250.136350.0681752
2520.9523380.09532440.0476622
2530.9484610.1030780.0515389
2540.9403270.1193450.0596727
2550.9653320.06933540.0346677
2560.9502050.09959070.0497954
2570.9640950.07181020.0359051
2580.9567150.08657080.0432854
2590.9522080.09558310.0477916
2600.9558910.08821740.0441087
2610.9404680.1190630.0595315
2620.9535660.09286790.0464339
2630.929150.14170.0708502
2640.8949810.2100380.105019
2650.8706510.2586970.129349
2660.8197070.3605860.180293
2670.7443040.5113930.255696
2680.6733520.6532960.326648
2690.6360640.7278730.363936
2700.5907320.8185360.409268
2710.6074940.7850110.392506
2720.9284520.1430950.0715477
2730.8374060.3251870.162594

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
6 & 0.330245 & 0.660491 & 0.669755 \tabularnewline
7 & 0.299892 & 0.599783 & 0.700108 \tabularnewline
8 & 0.617316 & 0.765368 & 0.382684 \tabularnewline
9 & 0.567686 & 0.864629 & 0.432314 \tabularnewline
10 & 0.450748 & 0.901496 & 0.549252 \tabularnewline
11 & 0.369739 & 0.739478 & 0.630261 \tabularnewline
12 & 0.291239 & 0.582478 & 0.708761 \tabularnewline
13 & 0.423889 & 0.847778 & 0.576111 \tabularnewline
14 & 0.463468 & 0.926936 & 0.536532 \tabularnewline
15 & 0.69052 & 0.61896 & 0.30948 \tabularnewline
16 & 0.697634 & 0.604732 & 0.302366 \tabularnewline
17 & 0.671267 & 0.657466 & 0.328733 \tabularnewline
18 & 0.64813 & 0.70374 & 0.35187 \tabularnewline
19 & 0.588361 & 0.823278 & 0.411639 \tabularnewline
20 & 0.52206 & 0.95588 & 0.47794 \tabularnewline
21 & 0.592788 & 0.814423 & 0.407212 \tabularnewline
22 & 0.610574 & 0.778852 & 0.389426 \tabularnewline
23 & 0.547102 & 0.905797 & 0.452898 \tabularnewline
24 & 0.562409 & 0.875183 & 0.437591 \tabularnewline
25 & 0.507235 & 0.985529 & 0.492765 \tabularnewline
26 & 0.549339 & 0.901323 & 0.450661 \tabularnewline
27 & 0.640479 & 0.719041 & 0.359521 \tabularnewline
28 & 0.59331 & 0.813381 & 0.40669 \tabularnewline
29 & 0.561236 & 0.877527 & 0.438764 \tabularnewline
30 & 0.523279 & 0.953441 & 0.476721 \tabularnewline
31 & 0.476993 & 0.953987 & 0.523007 \tabularnewline
32 & 0.436587 & 0.873174 & 0.563413 \tabularnewline
33 & 0.417283 & 0.834565 & 0.582717 \tabularnewline
34 & 0.367103 & 0.734206 & 0.632897 \tabularnewline
35 & 0.324897 & 0.649793 & 0.675103 \tabularnewline
36 & 0.317735 & 0.635471 & 0.682265 \tabularnewline
37 & 0.28301 & 0.56602 & 0.71699 \tabularnewline
38 & 0.335618 & 0.671236 & 0.664382 \tabularnewline
39 & 0.290668 & 0.581335 & 0.709332 \tabularnewline
40 & 0.253265 & 0.506529 & 0.746735 \tabularnewline
41 & 0.239831 & 0.479662 & 0.760169 \tabularnewline
42 & 0.207281 & 0.414562 & 0.792719 \tabularnewline
43 & 0.179006 & 0.358011 & 0.820994 \tabularnewline
44 & 0.151289 & 0.302579 & 0.848711 \tabularnewline
45 & 0.137232 & 0.274465 & 0.862768 \tabularnewline
46 & 0.11216 & 0.22432 & 0.88784 \tabularnewline
47 & 0.0966645 & 0.193329 & 0.903335 \tabularnewline
48 & 0.0790244 & 0.158049 & 0.920976 \tabularnewline
49 & 0.0633294 & 0.126659 & 0.936671 \tabularnewline
50 & 0.104473 & 0.208946 & 0.895527 \tabularnewline
51 & 0.0905688 & 0.181138 & 0.909431 \tabularnewline
52 & 0.0945146 & 0.189029 & 0.905485 \tabularnewline
53 & 0.0863189 & 0.172638 & 0.913681 \tabularnewline
54 & 0.0870016 & 0.174003 & 0.912998 \tabularnewline
55 & 0.0703403 & 0.140681 & 0.92966 \tabularnewline
56 & 0.0605361 & 0.121072 & 0.939464 \tabularnewline
57 & 0.0580828 & 0.116166 & 0.941917 \tabularnewline
58 & 0.0465944 & 0.0931888 & 0.953406 \tabularnewline
59 & 0.0907589 & 0.181518 & 0.909241 \tabularnewline
60 & 0.0744748 & 0.14895 & 0.925525 \tabularnewline
61 & 0.0985861 & 0.197172 & 0.901414 \tabularnewline
62 & 0.122292 & 0.244585 & 0.877708 \tabularnewline
63 & 0.10249 & 0.204979 & 0.89751 \tabularnewline
64 & 0.111094 & 0.222189 & 0.888906 \tabularnewline
65 & 0.0947623 & 0.189525 & 0.905238 \tabularnewline
66 & 0.0924229 & 0.184846 & 0.907577 \tabularnewline
67 & 0.0949021 & 0.189804 & 0.905098 \tabularnewline
68 & 0.304098 & 0.608195 & 0.695902 \tabularnewline
69 & 0.289246 & 0.578492 & 0.710754 \tabularnewline
70 & 0.258177 & 0.516353 & 0.741823 \tabularnewline
71 & 0.239485 & 0.47897 & 0.760515 \tabularnewline
72 & 0.227196 & 0.454391 & 0.772804 \tabularnewline
73 & 0.198698 & 0.397396 & 0.801302 \tabularnewline
74 & 0.181009 & 0.362018 & 0.818991 \tabularnewline
75 & 0.166295 & 0.332591 & 0.833705 \tabularnewline
76 & 0.287929 & 0.575859 & 0.712071 \tabularnewline
77 & 0.285356 & 0.570712 & 0.714644 \tabularnewline
78 & 0.269041 & 0.538081 & 0.730959 \tabularnewline
79 & 0.257749 & 0.515498 & 0.742251 \tabularnewline
80 & 0.23793 & 0.475859 & 0.76207 \tabularnewline
81 & 0.214698 & 0.429396 & 0.785302 \tabularnewline
82 & 0.191911 & 0.383823 & 0.808089 \tabularnewline
83 & 0.182212 & 0.364425 & 0.817788 \tabularnewline
84 & 0.161082 & 0.322163 & 0.838918 \tabularnewline
85 & 0.162863 & 0.325726 & 0.837137 \tabularnewline
86 & 0.141551 & 0.283103 & 0.858449 \tabularnewline
87 & 0.144349 & 0.288698 & 0.855651 \tabularnewline
88 & 0.133201 & 0.266403 & 0.866799 \tabularnewline
89 & 0.148095 & 0.296191 & 0.851905 \tabularnewline
90 & 0.140858 & 0.281716 & 0.859142 \tabularnewline
91 & 0.124901 & 0.249802 & 0.875099 \tabularnewline
92 & 0.113566 & 0.227133 & 0.886434 \tabularnewline
93 & 0.103666 & 0.207331 & 0.896334 \tabularnewline
94 & 0.0943763 & 0.188753 & 0.905624 \tabularnewline
95 & 0.0879574 & 0.175915 & 0.912043 \tabularnewline
96 & 0.0909367 & 0.181873 & 0.909063 \tabularnewline
97 & 0.101423 & 0.202846 & 0.898577 \tabularnewline
98 & 0.0905349 & 0.18107 & 0.909465 \tabularnewline
99 & 0.106424 & 0.212848 & 0.893576 \tabularnewline
100 & 0.107204 & 0.214407 & 0.892796 \tabularnewline
101 & 0.09331 & 0.18662 & 0.90669 \tabularnewline
102 & 0.0812511 & 0.162502 & 0.918749 \tabularnewline
103 & 0.0724023 & 0.144805 & 0.927598 \tabularnewline
104 & 0.0626893 & 0.125379 & 0.937311 \tabularnewline
105 & 0.052449 & 0.104898 & 0.947551 \tabularnewline
106 & 0.0435284 & 0.0870567 & 0.956472 \tabularnewline
107 & 0.0366607 & 0.0733213 & 0.963339 \tabularnewline
108 & 0.0339292 & 0.0678584 & 0.966071 \tabularnewline
109 & 0.0287472 & 0.0574945 & 0.971253 \tabularnewline
110 & 0.030205 & 0.06041 & 0.969795 \tabularnewline
111 & 0.0246384 & 0.0492768 & 0.975362 \tabularnewline
112 & 0.0233418 & 0.0466837 & 0.976658 \tabularnewline
113 & 0.0281184 & 0.0562368 & 0.971882 \tabularnewline
114 & 0.0382623 & 0.0765247 & 0.961738 \tabularnewline
115 & 0.0337324 & 0.0674648 & 0.966268 \tabularnewline
116 & 0.0277244 & 0.0554487 & 0.972276 \tabularnewline
117 & 0.0228089 & 0.0456178 & 0.977191 \tabularnewline
118 & 0.155997 & 0.311993 & 0.844003 \tabularnewline
119 & 0.200466 & 0.400932 & 0.799534 \tabularnewline
120 & 0.222444 & 0.444888 & 0.777556 \tabularnewline
121 & 0.25789 & 0.515781 & 0.74211 \tabularnewline
122 & 0.946632 & 0.106736 & 0.0533679 \tabularnewline
123 & 0.961425 & 0.0771493 & 0.0385747 \tabularnewline
124 & 0.957046 & 0.0859082 & 0.0429541 \tabularnewline
125 & 0.962648 & 0.0747034 & 0.0373517 \tabularnewline
126 & 0.955502 & 0.0889951 & 0.0444975 \tabularnewline
127 & 0.951737 & 0.0965266 & 0.0482633 \tabularnewline
128 & 0.942513 & 0.114974 & 0.0574872 \tabularnewline
129 & 0.939782 & 0.120435 & 0.0602177 \tabularnewline
130 & 0.942476 & 0.115048 & 0.0575238 \tabularnewline
131 & 0.943624 & 0.112753 & 0.0563765 \tabularnewline
132 & 0.946812 & 0.106376 & 0.0531879 \tabularnewline
133 & 0.96621 & 0.067581 & 0.0337905 \tabularnewline
134 & 0.95964 & 0.0807198 & 0.0403599 \tabularnewline
135 & 0.952373 & 0.0952534 & 0.0476267 \tabularnewline
136 & 0.946337 & 0.107326 & 0.053663 \tabularnewline
137 & 0.936469 & 0.127061 & 0.0635307 \tabularnewline
138 & 0.92858 & 0.14284 & 0.0714202 \tabularnewline
139 & 0.924405 & 0.151191 & 0.0755955 \tabularnewline
140 & 0.936874 & 0.126252 & 0.0631258 \tabularnewline
141 & 0.94644 & 0.107119 & 0.0535597 \tabularnewline
142 & 0.943873 & 0.112254 & 0.0561268 \tabularnewline
143 & 0.952246 & 0.0955076 & 0.0477538 \tabularnewline
144 & 0.951995 & 0.0960094 & 0.0480047 \tabularnewline
145 & 0.943163 & 0.113675 & 0.0568374 \tabularnewline
146 & 0.935704 & 0.128591 & 0.0642956 \tabularnewline
147 & 0.942862 & 0.114276 & 0.0571381 \tabularnewline
148 & 0.93642 & 0.127159 & 0.0635797 \tabularnewline
149 & 0.925102 & 0.149796 & 0.0748981 \tabularnewline
150 & 0.912529 & 0.174942 & 0.0874709 \tabularnewline
151 & 0.900824 & 0.198353 & 0.0991763 \tabularnewline
152 & 0.885665 & 0.228669 & 0.114335 \tabularnewline
153 & 0.907767 & 0.184467 & 0.0922333 \tabularnewline
154 & 0.893218 & 0.213565 & 0.106782 \tabularnewline
155 & 0.877665 & 0.244669 & 0.122335 \tabularnewline
156 & 0.877355 & 0.245291 & 0.122645 \tabularnewline
157 & 0.866696 & 0.266608 & 0.133304 \tabularnewline
158 & 0.910235 & 0.17953 & 0.0897652 \tabularnewline
159 & 0.895307 & 0.209386 & 0.104693 \tabularnewline
160 & 0.918977 & 0.162046 & 0.081023 \tabularnewline
161 & 0.906545 & 0.186911 & 0.0934554 \tabularnewline
162 & 0.930484 & 0.139031 & 0.0695155 \tabularnewline
163 & 0.91825 & 0.163501 & 0.0817503 \tabularnewline
164 & 0.920573 & 0.158853 & 0.0794267 \tabularnewline
165 & 0.921237 & 0.157526 & 0.0787632 \tabularnewline
166 & 0.943733 & 0.112534 & 0.0562669 \tabularnewline
167 & 0.950132 & 0.0997359 & 0.049868 \tabularnewline
168 & 0.958723 & 0.0825533 & 0.0412767 \tabularnewline
169 & 0.971166 & 0.0576681 & 0.028834 \tabularnewline
170 & 0.965249 & 0.0695017 & 0.0347509 \tabularnewline
171 & 0.964054 & 0.0718914 & 0.0359457 \tabularnewline
172 & 0.958736 & 0.0825288 & 0.0412644 \tabularnewline
173 & 0.953274 & 0.0934521 & 0.0467261 \tabularnewline
174 & 0.948922 & 0.102156 & 0.0510779 \tabularnewline
175 & 0.943209 & 0.113581 & 0.0567907 \tabularnewline
176 & 0.936808 & 0.126384 & 0.0631921 \tabularnewline
177 & 0.933562 & 0.132876 & 0.0664379 \tabularnewline
178 & 0.927952 & 0.144096 & 0.072048 \tabularnewline
179 & 0.915577 & 0.168847 & 0.0844233 \tabularnewline
180 & 0.906241 & 0.187517 & 0.0937587 \tabularnewline
181 & 0.907594 & 0.184812 & 0.0924058 \tabularnewline
182 & 0.949645 & 0.10071 & 0.0503552 \tabularnewline
183 & 0.939384 & 0.121233 & 0.0606164 \tabularnewline
184 & 0.943555 & 0.112889 & 0.0564446 \tabularnewline
185 & 0.941124 & 0.117753 & 0.0588764 \tabularnewline
186 & 0.932826 & 0.134348 & 0.0671738 \tabularnewline
187 & 0.930208 & 0.139585 & 0.0697923 \tabularnewline
188 & 0.92883 & 0.142341 & 0.0711703 \tabularnewline
189 & 0.91588 & 0.16824 & 0.08412 \tabularnewline
190 & 0.952468 & 0.0950634 & 0.0475317 \tabularnewline
191 & 0.9424 & 0.115199 & 0.0575996 \tabularnewline
192 & 0.936349 & 0.127301 & 0.0636505 \tabularnewline
193 & 0.935372 & 0.129256 & 0.0646282 \tabularnewline
194 & 0.931258 & 0.137483 & 0.0687417 \tabularnewline
195 & 0.918258 & 0.163483 & 0.0817417 \tabularnewline
196 & 0.905331 & 0.189337 & 0.0946686 \tabularnewline
197 & 0.88904 & 0.221921 & 0.11096 \tabularnewline
198 & 0.887848 & 0.224304 & 0.112152 \tabularnewline
199 & 0.869126 & 0.261748 & 0.130874 \tabularnewline
200 & 0.864604 & 0.270793 & 0.135396 \tabularnewline
201 & 0.845402 & 0.309196 & 0.154598 \tabularnewline
202 & 0.841004 & 0.317992 & 0.158996 \tabularnewline
203 & 0.825053 & 0.349894 & 0.174947 \tabularnewline
204 & 0.799484 & 0.401032 & 0.200516 \tabularnewline
205 & 0.770701 & 0.458599 & 0.229299 \tabularnewline
206 & 0.791947 & 0.416106 & 0.208053 \tabularnewline
207 & 0.790755 & 0.418489 & 0.209245 \tabularnewline
208 & 0.76077 & 0.478459 & 0.23923 \tabularnewline
209 & 0.750666 & 0.498669 & 0.249334 \tabularnewline
210 & 0.834668 & 0.330663 & 0.165332 \tabularnewline
211 & 0.831582 & 0.336836 & 0.168418 \tabularnewline
212 & 0.804942 & 0.390116 & 0.195058 \tabularnewline
213 & 0.787502 & 0.424995 & 0.212498 \tabularnewline
214 & 0.801896 & 0.396208 & 0.198104 \tabularnewline
215 & 0.784193 & 0.431614 & 0.215807 \tabularnewline
216 & 0.833268 & 0.333464 & 0.166732 \tabularnewline
217 & 0.807854 & 0.384292 & 0.192146 \tabularnewline
218 & 0.778933 & 0.442135 & 0.221067 \tabularnewline
219 & 0.747942 & 0.504116 & 0.252058 \tabularnewline
220 & 0.712396 & 0.575208 & 0.287604 \tabularnewline
221 & 0.691796 & 0.616407 & 0.308204 \tabularnewline
222 & 0.65441 & 0.691181 & 0.34559 \tabularnewline
223 & 0.61883 & 0.762339 & 0.38117 \tabularnewline
224 & 0.654701 & 0.690597 & 0.345299 \tabularnewline
225 & 0.697552 & 0.604895 & 0.302448 \tabularnewline
226 & 0.673593 & 0.652813 & 0.326407 \tabularnewline
227 & 0.660815 & 0.67837 & 0.339185 \tabularnewline
228 & 0.665041 & 0.669918 & 0.334959 \tabularnewline
229 & 0.631508 & 0.736984 & 0.368492 \tabularnewline
230 & 0.801012 & 0.397977 & 0.198988 \tabularnewline
231 & 0.767588 & 0.464823 & 0.232412 \tabularnewline
232 & 0.7578 & 0.4844 & 0.2422 \tabularnewline
233 & 0.912114 & 0.175772 & 0.0878862 \tabularnewline
234 & 0.896735 & 0.20653 & 0.103265 \tabularnewline
235 & 0.886259 & 0.227483 & 0.113741 \tabularnewline
236 & 0.881785 & 0.236431 & 0.118215 \tabularnewline
237 & 0.885561 & 0.228878 & 0.114439 \tabularnewline
238 & 0.906375 & 0.18725 & 0.0936252 \tabularnewline
239 & 0.886287 & 0.227425 & 0.113713 \tabularnewline
240 & 0.860262 & 0.279476 & 0.139738 \tabularnewline
241 & 0.839366 & 0.321269 & 0.160634 \tabularnewline
242 & 0.826145 & 0.34771 & 0.173855 \tabularnewline
243 & 0.789267 & 0.421465 & 0.210733 \tabularnewline
244 & 0.75465 & 0.4907 & 0.24535 \tabularnewline
245 & 0.858073 & 0.283854 & 0.141927 \tabularnewline
246 & 0.863424 & 0.273151 & 0.136576 \tabularnewline
247 & 0.845022 & 0.309956 & 0.154978 \tabularnewline
248 & 0.924507 & 0.150986 & 0.075493 \tabularnewline
249 & 0.917012 & 0.165975 & 0.0829876 \tabularnewline
250 & 0.941511 & 0.116978 & 0.0584888 \tabularnewline
251 & 0.931825 & 0.13635 & 0.0681752 \tabularnewline
252 & 0.952338 & 0.0953244 & 0.0476622 \tabularnewline
253 & 0.948461 & 0.103078 & 0.0515389 \tabularnewline
254 & 0.940327 & 0.119345 & 0.0596727 \tabularnewline
255 & 0.965332 & 0.0693354 & 0.0346677 \tabularnewline
256 & 0.950205 & 0.0995907 & 0.0497954 \tabularnewline
257 & 0.964095 & 0.0718102 & 0.0359051 \tabularnewline
258 & 0.956715 & 0.0865708 & 0.0432854 \tabularnewline
259 & 0.952208 & 0.0955831 & 0.0477916 \tabularnewline
260 & 0.955891 & 0.0882174 & 0.0441087 \tabularnewline
261 & 0.940468 & 0.119063 & 0.0595315 \tabularnewline
262 & 0.953566 & 0.0928679 & 0.0464339 \tabularnewline
263 & 0.92915 & 0.1417 & 0.0708502 \tabularnewline
264 & 0.894981 & 0.210038 & 0.105019 \tabularnewline
265 & 0.870651 & 0.258697 & 0.129349 \tabularnewline
266 & 0.819707 & 0.360586 & 0.180293 \tabularnewline
267 & 0.744304 & 0.511393 & 0.255696 \tabularnewline
268 & 0.673352 & 0.653296 & 0.326648 \tabularnewline
269 & 0.636064 & 0.727873 & 0.363936 \tabularnewline
270 & 0.590732 & 0.818536 & 0.409268 \tabularnewline
271 & 0.607494 & 0.785011 & 0.392506 \tabularnewline
272 & 0.928452 & 0.143095 & 0.0715477 \tabularnewline
273 & 0.837406 & 0.325187 & 0.162594 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268258&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]0.330245[/C][C]0.660491[/C][C]0.669755[/C][/ROW]
[ROW][C]7[/C][C]0.299892[/C][C]0.599783[/C][C]0.700108[/C][/ROW]
[ROW][C]8[/C][C]0.617316[/C][C]0.765368[/C][C]0.382684[/C][/ROW]
[ROW][C]9[/C][C]0.567686[/C][C]0.864629[/C][C]0.432314[/C][/ROW]
[ROW][C]10[/C][C]0.450748[/C][C]0.901496[/C][C]0.549252[/C][/ROW]
[ROW][C]11[/C][C]0.369739[/C][C]0.739478[/C][C]0.630261[/C][/ROW]
[ROW][C]12[/C][C]0.291239[/C][C]0.582478[/C][C]0.708761[/C][/ROW]
[ROW][C]13[/C][C]0.423889[/C][C]0.847778[/C][C]0.576111[/C][/ROW]
[ROW][C]14[/C][C]0.463468[/C][C]0.926936[/C][C]0.536532[/C][/ROW]
[ROW][C]15[/C][C]0.69052[/C][C]0.61896[/C][C]0.30948[/C][/ROW]
[ROW][C]16[/C][C]0.697634[/C][C]0.604732[/C][C]0.302366[/C][/ROW]
[ROW][C]17[/C][C]0.671267[/C][C]0.657466[/C][C]0.328733[/C][/ROW]
[ROW][C]18[/C][C]0.64813[/C][C]0.70374[/C][C]0.35187[/C][/ROW]
[ROW][C]19[/C][C]0.588361[/C][C]0.823278[/C][C]0.411639[/C][/ROW]
[ROW][C]20[/C][C]0.52206[/C][C]0.95588[/C][C]0.47794[/C][/ROW]
[ROW][C]21[/C][C]0.592788[/C][C]0.814423[/C][C]0.407212[/C][/ROW]
[ROW][C]22[/C][C]0.610574[/C][C]0.778852[/C][C]0.389426[/C][/ROW]
[ROW][C]23[/C][C]0.547102[/C][C]0.905797[/C][C]0.452898[/C][/ROW]
[ROW][C]24[/C][C]0.562409[/C][C]0.875183[/C][C]0.437591[/C][/ROW]
[ROW][C]25[/C][C]0.507235[/C][C]0.985529[/C][C]0.492765[/C][/ROW]
[ROW][C]26[/C][C]0.549339[/C][C]0.901323[/C][C]0.450661[/C][/ROW]
[ROW][C]27[/C][C]0.640479[/C][C]0.719041[/C][C]0.359521[/C][/ROW]
[ROW][C]28[/C][C]0.59331[/C][C]0.813381[/C][C]0.40669[/C][/ROW]
[ROW][C]29[/C][C]0.561236[/C][C]0.877527[/C][C]0.438764[/C][/ROW]
[ROW][C]30[/C][C]0.523279[/C][C]0.953441[/C][C]0.476721[/C][/ROW]
[ROW][C]31[/C][C]0.476993[/C][C]0.953987[/C][C]0.523007[/C][/ROW]
[ROW][C]32[/C][C]0.436587[/C][C]0.873174[/C][C]0.563413[/C][/ROW]
[ROW][C]33[/C][C]0.417283[/C][C]0.834565[/C][C]0.582717[/C][/ROW]
[ROW][C]34[/C][C]0.367103[/C][C]0.734206[/C][C]0.632897[/C][/ROW]
[ROW][C]35[/C][C]0.324897[/C][C]0.649793[/C][C]0.675103[/C][/ROW]
[ROW][C]36[/C][C]0.317735[/C][C]0.635471[/C][C]0.682265[/C][/ROW]
[ROW][C]37[/C][C]0.28301[/C][C]0.56602[/C][C]0.71699[/C][/ROW]
[ROW][C]38[/C][C]0.335618[/C][C]0.671236[/C][C]0.664382[/C][/ROW]
[ROW][C]39[/C][C]0.290668[/C][C]0.581335[/C][C]0.709332[/C][/ROW]
[ROW][C]40[/C][C]0.253265[/C][C]0.506529[/C][C]0.746735[/C][/ROW]
[ROW][C]41[/C][C]0.239831[/C][C]0.479662[/C][C]0.760169[/C][/ROW]
[ROW][C]42[/C][C]0.207281[/C][C]0.414562[/C][C]0.792719[/C][/ROW]
[ROW][C]43[/C][C]0.179006[/C][C]0.358011[/C][C]0.820994[/C][/ROW]
[ROW][C]44[/C][C]0.151289[/C][C]0.302579[/C][C]0.848711[/C][/ROW]
[ROW][C]45[/C][C]0.137232[/C][C]0.274465[/C][C]0.862768[/C][/ROW]
[ROW][C]46[/C][C]0.11216[/C][C]0.22432[/C][C]0.88784[/C][/ROW]
[ROW][C]47[/C][C]0.0966645[/C][C]0.193329[/C][C]0.903335[/C][/ROW]
[ROW][C]48[/C][C]0.0790244[/C][C]0.158049[/C][C]0.920976[/C][/ROW]
[ROW][C]49[/C][C]0.0633294[/C][C]0.126659[/C][C]0.936671[/C][/ROW]
[ROW][C]50[/C][C]0.104473[/C][C]0.208946[/C][C]0.895527[/C][/ROW]
[ROW][C]51[/C][C]0.0905688[/C][C]0.181138[/C][C]0.909431[/C][/ROW]
[ROW][C]52[/C][C]0.0945146[/C][C]0.189029[/C][C]0.905485[/C][/ROW]
[ROW][C]53[/C][C]0.0863189[/C][C]0.172638[/C][C]0.913681[/C][/ROW]
[ROW][C]54[/C][C]0.0870016[/C][C]0.174003[/C][C]0.912998[/C][/ROW]
[ROW][C]55[/C][C]0.0703403[/C][C]0.140681[/C][C]0.92966[/C][/ROW]
[ROW][C]56[/C][C]0.0605361[/C][C]0.121072[/C][C]0.939464[/C][/ROW]
[ROW][C]57[/C][C]0.0580828[/C][C]0.116166[/C][C]0.941917[/C][/ROW]
[ROW][C]58[/C][C]0.0465944[/C][C]0.0931888[/C][C]0.953406[/C][/ROW]
[ROW][C]59[/C][C]0.0907589[/C][C]0.181518[/C][C]0.909241[/C][/ROW]
[ROW][C]60[/C][C]0.0744748[/C][C]0.14895[/C][C]0.925525[/C][/ROW]
[ROW][C]61[/C][C]0.0985861[/C][C]0.197172[/C][C]0.901414[/C][/ROW]
[ROW][C]62[/C][C]0.122292[/C][C]0.244585[/C][C]0.877708[/C][/ROW]
[ROW][C]63[/C][C]0.10249[/C][C]0.204979[/C][C]0.89751[/C][/ROW]
[ROW][C]64[/C][C]0.111094[/C][C]0.222189[/C][C]0.888906[/C][/ROW]
[ROW][C]65[/C][C]0.0947623[/C][C]0.189525[/C][C]0.905238[/C][/ROW]
[ROW][C]66[/C][C]0.0924229[/C][C]0.184846[/C][C]0.907577[/C][/ROW]
[ROW][C]67[/C][C]0.0949021[/C][C]0.189804[/C][C]0.905098[/C][/ROW]
[ROW][C]68[/C][C]0.304098[/C][C]0.608195[/C][C]0.695902[/C][/ROW]
[ROW][C]69[/C][C]0.289246[/C][C]0.578492[/C][C]0.710754[/C][/ROW]
[ROW][C]70[/C][C]0.258177[/C][C]0.516353[/C][C]0.741823[/C][/ROW]
[ROW][C]71[/C][C]0.239485[/C][C]0.47897[/C][C]0.760515[/C][/ROW]
[ROW][C]72[/C][C]0.227196[/C][C]0.454391[/C][C]0.772804[/C][/ROW]
[ROW][C]73[/C][C]0.198698[/C][C]0.397396[/C][C]0.801302[/C][/ROW]
[ROW][C]74[/C][C]0.181009[/C][C]0.362018[/C][C]0.818991[/C][/ROW]
[ROW][C]75[/C][C]0.166295[/C][C]0.332591[/C][C]0.833705[/C][/ROW]
[ROW][C]76[/C][C]0.287929[/C][C]0.575859[/C][C]0.712071[/C][/ROW]
[ROW][C]77[/C][C]0.285356[/C][C]0.570712[/C][C]0.714644[/C][/ROW]
[ROW][C]78[/C][C]0.269041[/C][C]0.538081[/C][C]0.730959[/C][/ROW]
[ROW][C]79[/C][C]0.257749[/C][C]0.515498[/C][C]0.742251[/C][/ROW]
[ROW][C]80[/C][C]0.23793[/C][C]0.475859[/C][C]0.76207[/C][/ROW]
[ROW][C]81[/C][C]0.214698[/C][C]0.429396[/C][C]0.785302[/C][/ROW]
[ROW][C]82[/C][C]0.191911[/C][C]0.383823[/C][C]0.808089[/C][/ROW]
[ROW][C]83[/C][C]0.182212[/C][C]0.364425[/C][C]0.817788[/C][/ROW]
[ROW][C]84[/C][C]0.161082[/C][C]0.322163[/C][C]0.838918[/C][/ROW]
[ROW][C]85[/C][C]0.162863[/C][C]0.325726[/C][C]0.837137[/C][/ROW]
[ROW][C]86[/C][C]0.141551[/C][C]0.283103[/C][C]0.858449[/C][/ROW]
[ROW][C]87[/C][C]0.144349[/C][C]0.288698[/C][C]0.855651[/C][/ROW]
[ROW][C]88[/C][C]0.133201[/C][C]0.266403[/C][C]0.866799[/C][/ROW]
[ROW][C]89[/C][C]0.148095[/C][C]0.296191[/C][C]0.851905[/C][/ROW]
[ROW][C]90[/C][C]0.140858[/C][C]0.281716[/C][C]0.859142[/C][/ROW]
[ROW][C]91[/C][C]0.124901[/C][C]0.249802[/C][C]0.875099[/C][/ROW]
[ROW][C]92[/C][C]0.113566[/C][C]0.227133[/C][C]0.886434[/C][/ROW]
[ROW][C]93[/C][C]0.103666[/C][C]0.207331[/C][C]0.896334[/C][/ROW]
[ROW][C]94[/C][C]0.0943763[/C][C]0.188753[/C][C]0.905624[/C][/ROW]
[ROW][C]95[/C][C]0.0879574[/C][C]0.175915[/C][C]0.912043[/C][/ROW]
[ROW][C]96[/C][C]0.0909367[/C][C]0.181873[/C][C]0.909063[/C][/ROW]
[ROW][C]97[/C][C]0.101423[/C][C]0.202846[/C][C]0.898577[/C][/ROW]
[ROW][C]98[/C][C]0.0905349[/C][C]0.18107[/C][C]0.909465[/C][/ROW]
[ROW][C]99[/C][C]0.106424[/C][C]0.212848[/C][C]0.893576[/C][/ROW]
[ROW][C]100[/C][C]0.107204[/C][C]0.214407[/C][C]0.892796[/C][/ROW]
[ROW][C]101[/C][C]0.09331[/C][C]0.18662[/C][C]0.90669[/C][/ROW]
[ROW][C]102[/C][C]0.0812511[/C][C]0.162502[/C][C]0.918749[/C][/ROW]
[ROW][C]103[/C][C]0.0724023[/C][C]0.144805[/C][C]0.927598[/C][/ROW]
[ROW][C]104[/C][C]0.0626893[/C][C]0.125379[/C][C]0.937311[/C][/ROW]
[ROW][C]105[/C][C]0.052449[/C][C]0.104898[/C][C]0.947551[/C][/ROW]
[ROW][C]106[/C][C]0.0435284[/C][C]0.0870567[/C][C]0.956472[/C][/ROW]
[ROW][C]107[/C][C]0.0366607[/C][C]0.0733213[/C][C]0.963339[/C][/ROW]
[ROW][C]108[/C][C]0.0339292[/C][C]0.0678584[/C][C]0.966071[/C][/ROW]
[ROW][C]109[/C][C]0.0287472[/C][C]0.0574945[/C][C]0.971253[/C][/ROW]
[ROW][C]110[/C][C]0.030205[/C][C]0.06041[/C][C]0.969795[/C][/ROW]
[ROW][C]111[/C][C]0.0246384[/C][C]0.0492768[/C][C]0.975362[/C][/ROW]
[ROW][C]112[/C][C]0.0233418[/C][C]0.0466837[/C][C]0.976658[/C][/ROW]
[ROW][C]113[/C][C]0.0281184[/C][C]0.0562368[/C][C]0.971882[/C][/ROW]
[ROW][C]114[/C][C]0.0382623[/C][C]0.0765247[/C][C]0.961738[/C][/ROW]
[ROW][C]115[/C][C]0.0337324[/C][C]0.0674648[/C][C]0.966268[/C][/ROW]
[ROW][C]116[/C][C]0.0277244[/C][C]0.0554487[/C][C]0.972276[/C][/ROW]
[ROW][C]117[/C][C]0.0228089[/C][C]0.0456178[/C][C]0.977191[/C][/ROW]
[ROW][C]118[/C][C]0.155997[/C][C]0.311993[/C][C]0.844003[/C][/ROW]
[ROW][C]119[/C][C]0.200466[/C][C]0.400932[/C][C]0.799534[/C][/ROW]
[ROW][C]120[/C][C]0.222444[/C][C]0.444888[/C][C]0.777556[/C][/ROW]
[ROW][C]121[/C][C]0.25789[/C][C]0.515781[/C][C]0.74211[/C][/ROW]
[ROW][C]122[/C][C]0.946632[/C][C]0.106736[/C][C]0.0533679[/C][/ROW]
[ROW][C]123[/C][C]0.961425[/C][C]0.0771493[/C][C]0.0385747[/C][/ROW]
[ROW][C]124[/C][C]0.957046[/C][C]0.0859082[/C][C]0.0429541[/C][/ROW]
[ROW][C]125[/C][C]0.962648[/C][C]0.0747034[/C][C]0.0373517[/C][/ROW]
[ROW][C]126[/C][C]0.955502[/C][C]0.0889951[/C][C]0.0444975[/C][/ROW]
[ROW][C]127[/C][C]0.951737[/C][C]0.0965266[/C][C]0.0482633[/C][/ROW]
[ROW][C]128[/C][C]0.942513[/C][C]0.114974[/C][C]0.0574872[/C][/ROW]
[ROW][C]129[/C][C]0.939782[/C][C]0.120435[/C][C]0.0602177[/C][/ROW]
[ROW][C]130[/C][C]0.942476[/C][C]0.115048[/C][C]0.0575238[/C][/ROW]
[ROW][C]131[/C][C]0.943624[/C][C]0.112753[/C][C]0.0563765[/C][/ROW]
[ROW][C]132[/C][C]0.946812[/C][C]0.106376[/C][C]0.0531879[/C][/ROW]
[ROW][C]133[/C][C]0.96621[/C][C]0.067581[/C][C]0.0337905[/C][/ROW]
[ROW][C]134[/C][C]0.95964[/C][C]0.0807198[/C][C]0.0403599[/C][/ROW]
[ROW][C]135[/C][C]0.952373[/C][C]0.0952534[/C][C]0.0476267[/C][/ROW]
[ROW][C]136[/C][C]0.946337[/C][C]0.107326[/C][C]0.053663[/C][/ROW]
[ROW][C]137[/C][C]0.936469[/C][C]0.127061[/C][C]0.0635307[/C][/ROW]
[ROW][C]138[/C][C]0.92858[/C][C]0.14284[/C][C]0.0714202[/C][/ROW]
[ROW][C]139[/C][C]0.924405[/C][C]0.151191[/C][C]0.0755955[/C][/ROW]
[ROW][C]140[/C][C]0.936874[/C][C]0.126252[/C][C]0.0631258[/C][/ROW]
[ROW][C]141[/C][C]0.94644[/C][C]0.107119[/C][C]0.0535597[/C][/ROW]
[ROW][C]142[/C][C]0.943873[/C][C]0.112254[/C][C]0.0561268[/C][/ROW]
[ROW][C]143[/C][C]0.952246[/C][C]0.0955076[/C][C]0.0477538[/C][/ROW]
[ROW][C]144[/C][C]0.951995[/C][C]0.0960094[/C][C]0.0480047[/C][/ROW]
[ROW][C]145[/C][C]0.943163[/C][C]0.113675[/C][C]0.0568374[/C][/ROW]
[ROW][C]146[/C][C]0.935704[/C][C]0.128591[/C][C]0.0642956[/C][/ROW]
[ROW][C]147[/C][C]0.942862[/C][C]0.114276[/C][C]0.0571381[/C][/ROW]
[ROW][C]148[/C][C]0.93642[/C][C]0.127159[/C][C]0.0635797[/C][/ROW]
[ROW][C]149[/C][C]0.925102[/C][C]0.149796[/C][C]0.0748981[/C][/ROW]
[ROW][C]150[/C][C]0.912529[/C][C]0.174942[/C][C]0.0874709[/C][/ROW]
[ROW][C]151[/C][C]0.900824[/C][C]0.198353[/C][C]0.0991763[/C][/ROW]
[ROW][C]152[/C][C]0.885665[/C][C]0.228669[/C][C]0.114335[/C][/ROW]
[ROW][C]153[/C][C]0.907767[/C][C]0.184467[/C][C]0.0922333[/C][/ROW]
[ROW][C]154[/C][C]0.893218[/C][C]0.213565[/C][C]0.106782[/C][/ROW]
[ROW][C]155[/C][C]0.877665[/C][C]0.244669[/C][C]0.122335[/C][/ROW]
[ROW][C]156[/C][C]0.877355[/C][C]0.245291[/C][C]0.122645[/C][/ROW]
[ROW][C]157[/C][C]0.866696[/C][C]0.266608[/C][C]0.133304[/C][/ROW]
[ROW][C]158[/C][C]0.910235[/C][C]0.17953[/C][C]0.0897652[/C][/ROW]
[ROW][C]159[/C][C]0.895307[/C][C]0.209386[/C][C]0.104693[/C][/ROW]
[ROW][C]160[/C][C]0.918977[/C][C]0.162046[/C][C]0.081023[/C][/ROW]
[ROW][C]161[/C][C]0.906545[/C][C]0.186911[/C][C]0.0934554[/C][/ROW]
[ROW][C]162[/C][C]0.930484[/C][C]0.139031[/C][C]0.0695155[/C][/ROW]
[ROW][C]163[/C][C]0.91825[/C][C]0.163501[/C][C]0.0817503[/C][/ROW]
[ROW][C]164[/C][C]0.920573[/C][C]0.158853[/C][C]0.0794267[/C][/ROW]
[ROW][C]165[/C][C]0.921237[/C][C]0.157526[/C][C]0.0787632[/C][/ROW]
[ROW][C]166[/C][C]0.943733[/C][C]0.112534[/C][C]0.0562669[/C][/ROW]
[ROW][C]167[/C][C]0.950132[/C][C]0.0997359[/C][C]0.049868[/C][/ROW]
[ROW][C]168[/C][C]0.958723[/C][C]0.0825533[/C][C]0.0412767[/C][/ROW]
[ROW][C]169[/C][C]0.971166[/C][C]0.0576681[/C][C]0.028834[/C][/ROW]
[ROW][C]170[/C][C]0.965249[/C][C]0.0695017[/C][C]0.0347509[/C][/ROW]
[ROW][C]171[/C][C]0.964054[/C][C]0.0718914[/C][C]0.0359457[/C][/ROW]
[ROW][C]172[/C][C]0.958736[/C][C]0.0825288[/C][C]0.0412644[/C][/ROW]
[ROW][C]173[/C][C]0.953274[/C][C]0.0934521[/C][C]0.0467261[/C][/ROW]
[ROW][C]174[/C][C]0.948922[/C][C]0.102156[/C][C]0.0510779[/C][/ROW]
[ROW][C]175[/C][C]0.943209[/C][C]0.113581[/C][C]0.0567907[/C][/ROW]
[ROW][C]176[/C][C]0.936808[/C][C]0.126384[/C][C]0.0631921[/C][/ROW]
[ROW][C]177[/C][C]0.933562[/C][C]0.132876[/C][C]0.0664379[/C][/ROW]
[ROW][C]178[/C][C]0.927952[/C][C]0.144096[/C][C]0.072048[/C][/ROW]
[ROW][C]179[/C][C]0.915577[/C][C]0.168847[/C][C]0.0844233[/C][/ROW]
[ROW][C]180[/C][C]0.906241[/C][C]0.187517[/C][C]0.0937587[/C][/ROW]
[ROW][C]181[/C][C]0.907594[/C][C]0.184812[/C][C]0.0924058[/C][/ROW]
[ROW][C]182[/C][C]0.949645[/C][C]0.10071[/C][C]0.0503552[/C][/ROW]
[ROW][C]183[/C][C]0.939384[/C][C]0.121233[/C][C]0.0606164[/C][/ROW]
[ROW][C]184[/C][C]0.943555[/C][C]0.112889[/C][C]0.0564446[/C][/ROW]
[ROW][C]185[/C][C]0.941124[/C][C]0.117753[/C][C]0.0588764[/C][/ROW]
[ROW][C]186[/C][C]0.932826[/C][C]0.134348[/C][C]0.0671738[/C][/ROW]
[ROW][C]187[/C][C]0.930208[/C][C]0.139585[/C][C]0.0697923[/C][/ROW]
[ROW][C]188[/C][C]0.92883[/C][C]0.142341[/C][C]0.0711703[/C][/ROW]
[ROW][C]189[/C][C]0.91588[/C][C]0.16824[/C][C]0.08412[/C][/ROW]
[ROW][C]190[/C][C]0.952468[/C][C]0.0950634[/C][C]0.0475317[/C][/ROW]
[ROW][C]191[/C][C]0.9424[/C][C]0.115199[/C][C]0.0575996[/C][/ROW]
[ROW][C]192[/C][C]0.936349[/C][C]0.127301[/C][C]0.0636505[/C][/ROW]
[ROW][C]193[/C][C]0.935372[/C][C]0.129256[/C][C]0.0646282[/C][/ROW]
[ROW][C]194[/C][C]0.931258[/C][C]0.137483[/C][C]0.0687417[/C][/ROW]
[ROW][C]195[/C][C]0.918258[/C][C]0.163483[/C][C]0.0817417[/C][/ROW]
[ROW][C]196[/C][C]0.905331[/C][C]0.189337[/C][C]0.0946686[/C][/ROW]
[ROW][C]197[/C][C]0.88904[/C][C]0.221921[/C][C]0.11096[/C][/ROW]
[ROW][C]198[/C][C]0.887848[/C][C]0.224304[/C][C]0.112152[/C][/ROW]
[ROW][C]199[/C][C]0.869126[/C][C]0.261748[/C][C]0.130874[/C][/ROW]
[ROW][C]200[/C][C]0.864604[/C][C]0.270793[/C][C]0.135396[/C][/ROW]
[ROW][C]201[/C][C]0.845402[/C][C]0.309196[/C][C]0.154598[/C][/ROW]
[ROW][C]202[/C][C]0.841004[/C][C]0.317992[/C][C]0.158996[/C][/ROW]
[ROW][C]203[/C][C]0.825053[/C][C]0.349894[/C][C]0.174947[/C][/ROW]
[ROW][C]204[/C][C]0.799484[/C][C]0.401032[/C][C]0.200516[/C][/ROW]
[ROW][C]205[/C][C]0.770701[/C][C]0.458599[/C][C]0.229299[/C][/ROW]
[ROW][C]206[/C][C]0.791947[/C][C]0.416106[/C][C]0.208053[/C][/ROW]
[ROW][C]207[/C][C]0.790755[/C][C]0.418489[/C][C]0.209245[/C][/ROW]
[ROW][C]208[/C][C]0.76077[/C][C]0.478459[/C][C]0.23923[/C][/ROW]
[ROW][C]209[/C][C]0.750666[/C][C]0.498669[/C][C]0.249334[/C][/ROW]
[ROW][C]210[/C][C]0.834668[/C][C]0.330663[/C][C]0.165332[/C][/ROW]
[ROW][C]211[/C][C]0.831582[/C][C]0.336836[/C][C]0.168418[/C][/ROW]
[ROW][C]212[/C][C]0.804942[/C][C]0.390116[/C][C]0.195058[/C][/ROW]
[ROW][C]213[/C][C]0.787502[/C][C]0.424995[/C][C]0.212498[/C][/ROW]
[ROW][C]214[/C][C]0.801896[/C][C]0.396208[/C][C]0.198104[/C][/ROW]
[ROW][C]215[/C][C]0.784193[/C][C]0.431614[/C][C]0.215807[/C][/ROW]
[ROW][C]216[/C][C]0.833268[/C][C]0.333464[/C][C]0.166732[/C][/ROW]
[ROW][C]217[/C][C]0.807854[/C][C]0.384292[/C][C]0.192146[/C][/ROW]
[ROW][C]218[/C][C]0.778933[/C][C]0.442135[/C][C]0.221067[/C][/ROW]
[ROW][C]219[/C][C]0.747942[/C][C]0.504116[/C][C]0.252058[/C][/ROW]
[ROW][C]220[/C][C]0.712396[/C][C]0.575208[/C][C]0.287604[/C][/ROW]
[ROW][C]221[/C][C]0.691796[/C][C]0.616407[/C][C]0.308204[/C][/ROW]
[ROW][C]222[/C][C]0.65441[/C][C]0.691181[/C][C]0.34559[/C][/ROW]
[ROW][C]223[/C][C]0.61883[/C][C]0.762339[/C][C]0.38117[/C][/ROW]
[ROW][C]224[/C][C]0.654701[/C][C]0.690597[/C][C]0.345299[/C][/ROW]
[ROW][C]225[/C][C]0.697552[/C][C]0.604895[/C][C]0.302448[/C][/ROW]
[ROW][C]226[/C][C]0.673593[/C][C]0.652813[/C][C]0.326407[/C][/ROW]
[ROW][C]227[/C][C]0.660815[/C][C]0.67837[/C][C]0.339185[/C][/ROW]
[ROW][C]228[/C][C]0.665041[/C][C]0.669918[/C][C]0.334959[/C][/ROW]
[ROW][C]229[/C][C]0.631508[/C][C]0.736984[/C][C]0.368492[/C][/ROW]
[ROW][C]230[/C][C]0.801012[/C][C]0.397977[/C][C]0.198988[/C][/ROW]
[ROW][C]231[/C][C]0.767588[/C][C]0.464823[/C][C]0.232412[/C][/ROW]
[ROW][C]232[/C][C]0.7578[/C][C]0.4844[/C][C]0.2422[/C][/ROW]
[ROW][C]233[/C][C]0.912114[/C][C]0.175772[/C][C]0.0878862[/C][/ROW]
[ROW][C]234[/C][C]0.896735[/C][C]0.20653[/C][C]0.103265[/C][/ROW]
[ROW][C]235[/C][C]0.886259[/C][C]0.227483[/C][C]0.113741[/C][/ROW]
[ROW][C]236[/C][C]0.881785[/C][C]0.236431[/C][C]0.118215[/C][/ROW]
[ROW][C]237[/C][C]0.885561[/C][C]0.228878[/C][C]0.114439[/C][/ROW]
[ROW][C]238[/C][C]0.906375[/C][C]0.18725[/C][C]0.0936252[/C][/ROW]
[ROW][C]239[/C][C]0.886287[/C][C]0.227425[/C][C]0.113713[/C][/ROW]
[ROW][C]240[/C][C]0.860262[/C][C]0.279476[/C][C]0.139738[/C][/ROW]
[ROW][C]241[/C][C]0.839366[/C][C]0.321269[/C][C]0.160634[/C][/ROW]
[ROW][C]242[/C][C]0.826145[/C][C]0.34771[/C][C]0.173855[/C][/ROW]
[ROW][C]243[/C][C]0.789267[/C][C]0.421465[/C][C]0.210733[/C][/ROW]
[ROW][C]244[/C][C]0.75465[/C][C]0.4907[/C][C]0.24535[/C][/ROW]
[ROW][C]245[/C][C]0.858073[/C][C]0.283854[/C][C]0.141927[/C][/ROW]
[ROW][C]246[/C][C]0.863424[/C][C]0.273151[/C][C]0.136576[/C][/ROW]
[ROW][C]247[/C][C]0.845022[/C][C]0.309956[/C][C]0.154978[/C][/ROW]
[ROW][C]248[/C][C]0.924507[/C][C]0.150986[/C][C]0.075493[/C][/ROW]
[ROW][C]249[/C][C]0.917012[/C][C]0.165975[/C][C]0.0829876[/C][/ROW]
[ROW][C]250[/C][C]0.941511[/C][C]0.116978[/C][C]0.0584888[/C][/ROW]
[ROW][C]251[/C][C]0.931825[/C][C]0.13635[/C][C]0.0681752[/C][/ROW]
[ROW][C]252[/C][C]0.952338[/C][C]0.0953244[/C][C]0.0476622[/C][/ROW]
[ROW][C]253[/C][C]0.948461[/C][C]0.103078[/C][C]0.0515389[/C][/ROW]
[ROW][C]254[/C][C]0.940327[/C][C]0.119345[/C][C]0.0596727[/C][/ROW]
[ROW][C]255[/C][C]0.965332[/C][C]0.0693354[/C][C]0.0346677[/C][/ROW]
[ROW][C]256[/C][C]0.950205[/C][C]0.0995907[/C][C]0.0497954[/C][/ROW]
[ROW][C]257[/C][C]0.964095[/C][C]0.0718102[/C][C]0.0359051[/C][/ROW]
[ROW][C]258[/C][C]0.956715[/C][C]0.0865708[/C][C]0.0432854[/C][/ROW]
[ROW][C]259[/C][C]0.952208[/C][C]0.0955831[/C][C]0.0477916[/C][/ROW]
[ROW][C]260[/C][C]0.955891[/C][C]0.0882174[/C][C]0.0441087[/C][/ROW]
[ROW][C]261[/C][C]0.940468[/C][C]0.119063[/C][C]0.0595315[/C][/ROW]
[ROW][C]262[/C][C]0.953566[/C][C]0.0928679[/C][C]0.0464339[/C][/ROW]
[ROW][C]263[/C][C]0.92915[/C][C]0.1417[/C][C]0.0708502[/C][/ROW]
[ROW][C]264[/C][C]0.894981[/C][C]0.210038[/C][C]0.105019[/C][/ROW]
[ROW][C]265[/C][C]0.870651[/C][C]0.258697[/C][C]0.129349[/C][/ROW]
[ROW][C]266[/C][C]0.819707[/C][C]0.360586[/C][C]0.180293[/C][/ROW]
[ROW][C]267[/C][C]0.744304[/C][C]0.511393[/C][C]0.255696[/C][/ROW]
[ROW][C]268[/C][C]0.673352[/C][C]0.653296[/C][C]0.326648[/C][/ROW]
[ROW][C]269[/C][C]0.636064[/C][C]0.727873[/C][C]0.363936[/C][/ROW]
[ROW][C]270[/C][C]0.590732[/C][C]0.818536[/C][C]0.409268[/C][/ROW]
[ROW][C]271[/C][C]0.607494[/C][C]0.785011[/C][C]0.392506[/C][/ROW]
[ROW][C]272[/C][C]0.928452[/C][C]0.143095[/C][C]0.0715477[/C][/ROW]
[ROW][C]273[/C][C]0.837406[/C][C]0.325187[/C][C]0.162594[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268258&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268258&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
60.3302450.6604910.669755
70.2998920.5997830.700108
80.6173160.7653680.382684
90.5676860.8646290.432314
100.4507480.9014960.549252
110.3697390.7394780.630261
120.2912390.5824780.708761
130.4238890.8477780.576111
140.4634680.9269360.536532
150.690520.618960.30948
160.6976340.6047320.302366
170.6712670.6574660.328733
180.648130.703740.35187
190.5883610.8232780.411639
200.522060.955880.47794
210.5927880.8144230.407212
220.6105740.7788520.389426
230.5471020.9057970.452898
240.5624090.8751830.437591
250.5072350.9855290.492765
260.5493390.9013230.450661
270.6404790.7190410.359521
280.593310.8133810.40669
290.5612360.8775270.438764
300.5232790.9534410.476721
310.4769930.9539870.523007
320.4365870.8731740.563413
330.4172830.8345650.582717
340.3671030.7342060.632897
350.3248970.6497930.675103
360.3177350.6354710.682265
370.283010.566020.71699
380.3356180.6712360.664382
390.2906680.5813350.709332
400.2532650.5065290.746735
410.2398310.4796620.760169
420.2072810.4145620.792719
430.1790060.3580110.820994
440.1512890.3025790.848711
450.1372320.2744650.862768
460.112160.224320.88784
470.09666450.1933290.903335
480.07902440.1580490.920976
490.06332940.1266590.936671
500.1044730.2089460.895527
510.09056880.1811380.909431
520.09451460.1890290.905485
530.08631890.1726380.913681
540.08700160.1740030.912998
550.07034030.1406810.92966
560.06053610.1210720.939464
570.05808280.1161660.941917
580.04659440.09318880.953406
590.09075890.1815180.909241
600.07447480.148950.925525
610.09858610.1971720.901414
620.1222920.2445850.877708
630.102490.2049790.89751
640.1110940.2221890.888906
650.09476230.1895250.905238
660.09242290.1848460.907577
670.09490210.1898040.905098
680.3040980.6081950.695902
690.2892460.5784920.710754
700.2581770.5163530.741823
710.2394850.478970.760515
720.2271960.4543910.772804
730.1986980.3973960.801302
740.1810090.3620180.818991
750.1662950.3325910.833705
760.2879290.5758590.712071
770.2853560.5707120.714644
780.2690410.5380810.730959
790.2577490.5154980.742251
800.237930.4758590.76207
810.2146980.4293960.785302
820.1919110.3838230.808089
830.1822120.3644250.817788
840.1610820.3221630.838918
850.1628630.3257260.837137
860.1415510.2831030.858449
870.1443490.2886980.855651
880.1332010.2664030.866799
890.1480950.2961910.851905
900.1408580.2817160.859142
910.1249010.2498020.875099
920.1135660.2271330.886434
930.1036660.2073310.896334
940.09437630.1887530.905624
950.08795740.1759150.912043
960.09093670.1818730.909063
970.1014230.2028460.898577
980.09053490.181070.909465
990.1064240.2128480.893576
1000.1072040.2144070.892796
1010.093310.186620.90669
1020.08125110.1625020.918749
1030.07240230.1448050.927598
1040.06268930.1253790.937311
1050.0524490.1048980.947551
1060.04352840.08705670.956472
1070.03666070.07332130.963339
1080.03392920.06785840.966071
1090.02874720.05749450.971253
1100.0302050.060410.969795
1110.02463840.04927680.975362
1120.02334180.04668370.976658
1130.02811840.05623680.971882
1140.03826230.07652470.961738
1150.03373240.06746480.966268
1160.02772440.05544870.972276
1170.02280890.04561780.977191
1180.1559970.3119930.844003
1190.2004660.4009320.799534
1200.2224440.4448880.777556
1210.257890.5157810.74211
1220.9466320.1067360.0533679
1230.9614250.07714930.0385747
1240.9570460.08590820.0429541
1250.9626480.07470340.0373517
1260.9555020.08899510.0444975
1270.9517370.09652660.0482633
1280.9425130.1149740.0574872
1290.9397820.1204350.0602177
1300.9424760.1150480.0575238
1310.9436240.1127530.0563765
1320.9468120.1063760.0531879
1330.966210.0675810.0337905
1340.959640.08071980.0403599
1350.9523730.09525340.0476267
1360.9463370.1073260.053663
1370.9364690.1270610.0635307
1380.928580.142840.0714202
1390.9244050.1511910.0755955
1400.9368740.1262520.0631258
1410.946440.1071190.0535597
1420.9438730.1122540.0561268
1430.9522460.09550760.0477538
1440.9519950.09600940.0480047
1450.9431630.1136750.0568374
1460.9357040.1285910.0642956
1470.9428620.1142760.0571381
1480.936420.1271590.0635797
1490.9251020.1497960.0748981
1500.9125290.1749420.0874709
1510.9008240.1983530.0991763
1520.8856650.2286690.114335
1530.9077670.1844670.0922333
1540.8932180.2135650.106782
1550.8776650.2446690.122335
1560.8773550.2452910.122645
1570.8666960.2666080.133304
1580.9102350.179530.0897652
1590.8953070.2093860.104693
1600.9189770.1620460.081023
1610.9065450.1869110.0934554
1620.9304840.1390310.0695155
1630.918250.1635010.0817503
1640.9205730.1588530.0794267
1650.9212370.1575260.0787632
1660.9437330.1125340.0562669
1670.9501320.09973590.049868
1680.9587230.08255330.0412767
1690.9711660.05766810.028834
1700.9652490.06950170.0347509
1710.9640540.07189140.0359457
1720.9587360.08252880.0412644
1730.9532740.09345210.0467261
1740.9489220.1021560.0510779
1750.9432090.1135810.0567907
1760.9368080.1263840.0631921
1770.9335620.1328760.0664379
1780.9279520.1440960.072048
1790.9155770.1688470.0844233
1800.9062410.1875170.0937587
1810.9075940.1848120.0924058
1820.9496450.100710.0503552
1830.9393840.1212330.0606164
1840.9435550.1128890.0564446
1850.9411240.1177530.0588764
1860.9328260.1343480.0671738
1870.9302080.1395850.0697923
1880.928830.1423410.0711703
1890.915880.168240.08412
1900.9524680.09506340.0475317
1910.94240.1151990.0575996
1920.9363490.1273010.0636505
1930.9353720.1292560.0646282
1940.9312580.1374830.0687417
1950.9182580.1634830.0817417
1960.9053310.1893370.0946686
1970.889040.2219210.11096
1980.8878480.2243040.112152
1990.8691260.2617480.130874
2000.8646040.2707930.135396
2010.8454020.3091960.154598
2020.8410040.3179920.158996
2030.8250530.3498940.174947
2040.7994840.4010320.200516
2050.7707010.4585990.229299
2060.7919470.4161060.208053
2070.7907550.4184890.209245
2080.760770.4784590.23923
2090.7506660.4986690.249334
2100.8346680.3306630.165332
2110.8315820.3368360.168418
2120.8049420.3901160.195058
2130.7875020.4249950.212498
2140.8018960.3962080.198104
2150.7841930.4316140.215807
2160.8332680.3334640.166732
2170.8078540.3842920.192146
2180.7789330.4421350.221067
2190.7479420.5041160.252058
2200.7123960.5752080.287604
2210.6917960.6164070.308204
2220.654410.6911810.34559
2230.618830.7623390.38117
2240.6547010.6905970.345299
2250.6975520.6048950.302448
2260.6735930.6528130.326407
2270.6608150.678370.339185
2280.6650410.6699180.334959
2290.6315080.7369840.368492
2300.8010120.3979770.198988
2310.7675880.4648230.232412
2320.75780.48440.2422
2330.9121140.1757720.0878862
2340.8967350.206530.103265
2350.8862590.2274830.113741
2360.8817850.2364310.118215
2370.8855610.2288780.114439
2380.9063750.187250.0936252
2390.8862870.2274250.113713
2400.8602620.2794760.139738
2410.8393660.3212690.160634
2420.8261450.347710.173855
2430.7892670.4214650.210733
2440.754650.49070.24535
2450.8580730.2838540.141927
2460.8634240.2731510.136576
2470.8450220.3099560.154978
2480.9245070.1509860.075493
2490.9170120.1659750.0829876
2500.9415110.1169780.0584888
2510.9318250.136350.0681752
2520.9523380.09532440.0476622
2530.9484610.1030780.0515389
2540.9403270.1193450.0596727
2550.9653320.06933540.0346677
2560.9502050.09959070.0497954
2570.9640950.07181020.0359051
2580.9567150.08657080.0432854
2590.9522080.09558310.0477916
2600.9558910.08821740.0441087
2610.9404680.1190630.0595315
2620.9535660.09286790.0464339
2630.929150.14170.0708502
2640.8949810.2100380.105019
2650.8706510.2586970.129349
2660.8197070.3605860.180293
2670.7443040.5113930.255696
2680.6733520.6532960.326648
2690.6360640.7278730.363936
2700.5907320.8185360.409268
2710.6074940.7850110.392506
2720.9284520.1430950.0715477
2730.8374060.3251870.162594






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level30.011194OK
10% type I error level390.145522NOK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 0 & 0 & OK \tabularnewline
5% type I error level & 3 & 0.011194 & OK \tabularnewline
10% type I error level & 39 & 0.145522 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268258&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]3[/C][C]0.011194[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]39[/C][C]0.145522[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268258&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268258&T=6

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


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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level30.011194OK
10% type I error level390.145522NOK


Figures (Output of Computation)

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


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


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


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


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


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


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


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


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


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


Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
R code (references can be found in the software module):
library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, signif(mysum$coefficients[i,1],6), sep=' ')
if (rownames(mysum$coefficients)[i] != '(Intercept)') {
myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,signif(mysum$coefficients[i,1],6))
a<-table.element(a, signif(mysum$coefficients[i,2],6))
a<-table.element(a, signif(mysum$coefficients[i,3],4))
a<-table.element(a, signif(mysum$coefficients[i,4],6))
a<-table.element(a, signif(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, signif(sqrt(mysum$r.squared),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, signif(mysum$r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, signif(mysum$adj.r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[1],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[2],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[3],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, signif(1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
a<-table.element(a, signif(mysum$sigma,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, signif(sum(myerror*myerror),6))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,signif(x[i],6))
a<-table.element(a,signif(x[i]-mysum$resid[i],6))
a<-table.element(a,signif(mysum$resid[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable4.tab')
if (n > n25) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-values',header=TRUE)
a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'breakpoint index',header=TRUE)
a<-table.element(a,'greater',header=TRUE)
a<-table.element(a,'2-sided',header=TRUE)
a<-table.element(a,'less',header=TRUE)
a<-table.row.end(a)
for (mypoint in kp3:nmkm3) {
a<-table.row.start(a)
a<-table.element(a,mypoint,header=TRUE)
a<-table.element(a,signif(gqarr[mypoint-kp3+1,1],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,2],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,3],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable5.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,'# significant tests',header=TRUE)
a<-table.element(a,'% significant tests',header=TRUE)
a<-table.element(a,'OK/NOK',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'1% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant1,6))
a<-table.element(a,signif(numsignificant1/numgqtests,6))
if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'5% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant5,6))
a<-table.element(a,signif(numsignificant5/numgqtests,6))
if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'10% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant10,6))
a<-table.element(a,signif(numsignificant10/numgqtests,6))
if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable6.tab')
}