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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationThu, 11 Dec 2014 20:20:06 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/11/t1418329249iaietm2vd2ad7ue.htm/, Retrieved Thu, 16 May 2024 18:04:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=266316, Retrieved Thu, 16 May 2024 18:04:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact70

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [paper16] [2014-12-11 20:20:06] [0015a2406d94cac8c1a56a29b9122359] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
68	11	8	7
55	15	18	18
39	19	18	20
32	16	12	9
62	24	24	19
33	15	16	12
52	17	19	16
62	19	16	17
77	19	15	9
76	28	28	28
41	26	21	20
48	15	18	16
63	26	22	22
30	16	19	17
78	24	22	12
19	25	25	18
31	22	20	20
66	15	16	12
35	21	19	16
42	22	18	16
45	27	26	21
21	26	24	15
25	26	20	17
44	22	19	17
69	21	19	17
54	22	23	18
74	20	18	15
80	21	16	20
42	20	18	13
61	22	21	21
41	21	20	12
46	8	15	6
39	22	19	13
63	18	27	6
34	20	19	19
51	24	7	12
42	17	20	14
31	20	20	13
39	23	19	12
20	20	19	17
49	22	20	19
53	19	18	10
31	15	14	10
39	20	17	11
54	22	17	11
49	17	8	10
34	14	9	7
46	24	22	22
55	17	20	12
42	23	20	18
50	25	22	20
13	16	22	9
37	18	22	16
25	20	16	14
30	18	14	11
28	23	24	20
45	24	21	17
35	23	20	14
28	13	20	8
41	20	18	16
6	20	14	11
45	19	19	10
73	22	24	15
17	22	19	15
40	15	16	10
64	17	16	10
37	19	16	18
25	20	14	10
65	22	22	22
100	21	21	16
28	21	15	10
35	16	14	7
56	20	15	16
29	21	14	16
43	20	20	16
59	23	21	22
52	15	17	13
50	18	14	5
3	22	19	18
59	16	16	10
27	17	13	8
61	24	26	16
28	13	13	8
51	19	18	16
35	20	15	14
29	22	18	15
48	19	21	9
25	21	17	21
44	15	18	7
64	21	20	17
32	24	18	18
20	22	25	16
28	20	20	16
34	21	19	14
31	19	18	15
26	14	12	8
58	25	22	22
23	11	16	5
21	17	18	13
21	22	23	22
33	20	20	18
16	22	20	15
20	15	16	11
37	23	22	19
35	20	19	19
33	22	23	21
27	16	6	4
41	25	19	17
40	18	24	10
35	19	19	13
28	25	15	15
32	21	18	11
22	22	18	20
44	21	22	13
27	22	23	18
17	23	18	20
12	20	17	15
45	6	6	4
37	15	22	9
37	18	20	18
108	24	16	12
10	22	16	17
68	21	17	12
72	23	20	16
143	20	23	17
9	20	18	14
55	18	13	13
17	25	22	20
37	16	20	16
27	20	20	15
37	14	13	10
58	22	16	16
66	26	25	21
21	20	16	15
19	17	15	16
78	22	19	19
35	22	19	9
48	20	24	19
27	17	9	7
43	22	22	23
30	17	15	14
25	22	22	10
69	21	22	16
72	25	24	12
23	11	12	10
13	19	21	7
61	24	25	20
43	17	26	9
22	22	19	14
51	22	21	12
67	17	14	10
36	26	28	19
21	19	16	16
44	20	21	11
45	19	16	15
34	21	16	14
36	24	25	11
72	21	21	14
39	19	22	15
43	13	9	7
25	24	20	22
56	28	19	19
80	27	24	22
40	22	22	11
73	23	22	19
34	19	12	9
72	18	17	11
42	23	18	17
61	21	10	12
23	22	22	17
74	17	24	10
16	15	18	17
66	21	18	13
9	20	23	11
41	26	21	19
57	19	21	21
48	28	28	24
51	21	17	13
53	19	21	16
29	22	21	13
29	21	20	15
55	20	18	15
54	19	17	11
43	11	7	7
51	17	17	13
20	19	14	13
79	20	18	12
39	17	14	8
61	21	23	7
55	21	20	17
30	12	14	9
55	23	17	18
22	22	21	17
37	22	23	17
2	21	24	18
38	20	21	12
27	18	14	14
56	21	24	22
25	24	16	19
39	22	21	21
33	20	8	10
43	17	17	16
57	19	18	11
43	16	17	15
23	19	16	12
44	23	22	21
54	8	17	22
28	22	21	20
36	23	20	15
39	15	20	9
16	17	19	15
23	21	8	14
40	25	19	11
24	18	11	9
29	23	15	18
78	20	13	12
57	21	18	11
37	21	19	14
27	24	23	10
61	22	20	18
27	22	22	11
69	23	19	14
34	17	16	16
44	15	11	11
21	24	11	8
34	22	21	16
39	19	14	13
51	18	21	12
34	21	20	17
31	20	21	23
13	19	20	14
12	19	19	10
51	16	19	16
24	18	18	11
19	23	20	16
30	22	21	19
81	23	22	17
42	20	19	12
22	24	23	17
85	25	16	11
27	25	23	19
25	20	18	12
22	23	23	8
19	21	20	17
14	23	20	13
45	23	23	17
45	11	13	7
28	21	21	23
51	27	26	18
41	19	18	13
31	21	19	17
74	16	18	13
24	22	19	13
19	21	18	8
51	22	19	16
73	16	13	14
24	18	10	13
61	23	21	19
23	24	24	15
14	20	21	15
54	20	23	8
51	18	18	14
62	4	11	7
36	14	16	11
59	22	20	17
24	17	20	19
26	23	26	17
54	20	21	12
39	18	12	12
16	19	15	18
36	20	18	16
31	15	14	15
31	24	18	20
42	21	16	16
39	19	19	12
25	19	7	10
31	27	21	28
38	23	24	19
31	23	21	18
17	20	20	19
22	17	22	8
55	21	17	17
62	23	19	16
51	22	20	18
30	16	16	12
49	20	20	17
16	16	16	13

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 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 & 9 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266316&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]9 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=266316&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266316&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 time9 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Multiple Linear Regression - Estimated Regression Equation
CH[t] = + 32.163 + 0.0460667I1[t] + 0.375886I2[t] + 0.0749894I3[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
CH[t] =  +  32.163 +  0.0460667I1[t] +  0.375886I2[t] +  0.0749894I3[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266316&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]CH[t] =  +  32.163 +  0.0460667I1[t] +  0.375886I2[t] +  0.0749894I3[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266316&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266316&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] = + 32.163 + 0.0460667I1[t] + 0.375886I2[t] + 0.0749894I3[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)32.1636.55964.9031.59158e-067.95788e-07
I10.04606670.4038480.11410.9092640.454632
I20.3758860.3408991.1030.2711240.135562
I30.07498940.3270730.22930.8188210.409411

\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) & 32.163 & 6.5596 & 4.903 & 1.59158e-06 & 7.95788e-07 \tabularnewline
I1 & 0.0460667 & 0.403848 & 0.1141 & 0.909264 & 0.454632 \tabularnewline
I2 & 0.375886 & 0.340899 & 1.103 & 0.271124 & 0.135562 \tabularnewline
I3 & 0.0749894 & 0.327073 & 0.2293 & 0.818821 & 0.409411 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266316&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]32.163[/C][C]6.5596[/C][C]4.903[/C][C]1.59158e-06[/C][C]7.95788e-07[/C][/ROW]
[ROW][C]I1[/C][C]0.0460667[/C][C]0.403848[/C][C]0.1141[/C][C]0.909264[/C][C]0.454632[/C][/ROW]
[ROW][C]I2[/C][C]0.375886[/C][C]0.340899[/C][C]1.103[/C][C]0.271124[/C][C]0.135562[/C][/ROW]
[ROW][C]I3[/C][C]0.0749894[/C][C]0.327073[/C][C]0.2293[/C][C]0.818821[/C][C]0.409411[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266316&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266316&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)32.1636.55964.9031.59158e-067.95788e-07
I10.04606670.4038480.11410.9092640.454632
I20.3758860.3408991.1030.2711240.135562
I30.07498940.3270730.22930.8188210.409411






Multiple Linear Regression - Regression Statistics
Multiple R0.0966182
R-squared0.00933508
Adjusted R-squared-0.00116667
F-TEST (value)0.888907
F-TEST (DF numerator)3
F-TEST (DF denominator)283
p-value0.447255
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation19.1345
Sum Squared Residuals103615

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.0966182 \tabularnewline
R-squared & 0.00933508 \tabularnewline
Adjusted R-squared & -0.00116667 \tabularnewline
F-TEST (value) & 0.888907 \tabularnewline
F-TEST (DF numerator) & 3 \tabularnewline
F-TEST (DF denominator) & 283 \tabularnewline
p-value & 0.447255 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 19.1345 \tabularnewline
Sum Squared Residuals & 103615 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266316&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.0966182[/C][/ROW]
[ROW][C]R-squared[/C][C]0.00933508[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]-0.00116667[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]0.888907[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]3[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]283[/C][/ROW]
[ROW][C]p-value[/C][C]0.447255[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]19.1345[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]103615[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266316&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266316&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 R0.0966182
R-squared0.00933508
Adjusted R-squared-0.00116667
F-TEST (value)0.888907
F-TEST (DF numerator)3
F-TEST (DF denominator)283
p-value0.447255
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation19.1345
Sum Squared Residuals103615






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
16836.201831.7982
25540.969814.0302
33941.304-2.30401
43238.0856-6.08561
56243.714718.2853
63339.7681-6.76806
75241.287810.7122
86240.327321.6727
97739.351537.6485
107646.077429.9226
114142.7541-1.75414
124840.81987.18021
136343.2819.72
143041.3167-11.3167
157842.43835.562
161944.0616-25.0616
173142.194-11.194
186639.768126.2319
193541.4721-6.47208
204241.14230.857744
214544.75460.245373
222143.5069-22.5069
232542.1533-17.1533
244441.59312.40687
256941.547127.4529
265443.171710.8283
277440.975133.0249
288040.644439.3556
294240.82521.17485
306142.644918.3551
314141.548-0.548004
324638.61987.38023
333941.2932-2.29317
346343.591119.4089
353441.651-7.65098
365136.799714.2003
374241.51370.486284
383141.5769-10.5769
393941.2643-2.26425
402041.501-21.501
414942.1196.881
425340.554112.4459
433138.8663-7.86631
443940.2993-1.29929
455440.391413.6086
464936.703112.2969
473436.7158-2.71584
484643.18792.81213
495541.363713.6363
504242.0901-0.0900742
515043.0846.91604
521341.8445-28.8445
533742.4615-5.46153
542540.1484-15.1484
553039.0795-9.0795
562843.7436-15.7436
574542.4372.56296
583541.7901-6.79012
592840.8795-12.8795
604141.0501-0.0501224
61639.1716-33.1716
624540.934.06999
637343.322629.6774
641741.4432-24.4432
654039.61810.38192
666439.710224.2898
673740.4023-3.40226
682539.0966-14.0966
696543.095721.9043
7010042.223857.7762
712839.5186-11.5186
723538.6874-3.68741
735639.922516.0775
742939.5926-10.5926
754341.80191.1981
765942.765916.2341
775240.218911.7811
785038.629611.3704
79341.6681-38.6681
805939.664119.3359
812738.4326-11.4326
826144.241516.7585
832838.2483-10.2483
845141.00419.99594
853539.7725-4.77248
862941.0673-12.0673
874841.60686.39321
882541.0952-16.0952
894440.14493.85512
906441.92322.077
913241.3844-9.38437
922043.7735-23.7735
932841.8019-13.8019
943441.3221-7.3221
953140.9291-9.92907
962637.9185-11.9185
975843.233914.7661
982339.0589-16.0589
992140.687-19.687
1002143.4716-22.4716
1013341.9519-8.95187
1021641.819-25.819
1032039.6931-19.6931
1043742.9168-5.91684
1053541.651-6.65098
1063343.3966-10.3966
1072735.4553-8.45535
1084141.7313-0.731332
1094042.7634-2.76337
1103541.155-6.15497
1112840.0778-12.0778
1123240.7212-8.72124
1132241.4422-19.4422
1144442.37481.62523
1152743.1717-16.1717
1161741.4883-24.4883
1171240.5992-28.5992
1184534.994710.0053
1193741.7984-4.79841
1203741.8597-4.85974
12110840.182767.8173
1221040.4655-30.4655
1236840.420327.5797
1247241.940130.0599
12514343.004599.9955
126940.9001-31.9001
1275538.853616.1464
1281743.084-26.084
1293741.6176-4.61763
1302741.7269-14.7269
1313738.4444-1.44435
1325840.390517.6095
1336644.332721.6673
1342140.2234-19.2234
1351939.7843-20.7843
1367841.743136.2569
1373540.9932-5.99322
1384843.53044.46959
1392736.854-9.85404
1404343.1707-0.170727
1413039.6343-9.63428
1422542.1959-17.1959
1436942.599726.4003
1447243.235828.7642
1452337.9303-14.9303
1461341.4568-28.4568
1476144.165616.8344
1484343.3941-0.394087
1492241.3682-19.3682
1505141.979.03004
1516738.958428.0416
1523645.3104-9.31035
1532140.2523-19.2523
1544441.80282.19717
1554540.17734.82271
1563440.1944-6.19444
1573643.4906-7.49065
1587242.073929.9261
1593942.4326-3.43261
1604336.66986.33023
1612542.4361-17.4361
1625642.019513.9805
1638044.077835.9222
1644042.2709-2.27085
1657342.916830.0832
1663438.2238-4.22381
1677240.207231.7928
1684241.26330.736688
1696137.789123.2109
1702342.7208-19.7208
1717442.717331.2827
1721640.8948-24.8948
1736640.871225.1288
174942.5546-33.5546
1754142.6792-1.67915
1765742.506714.4933
1774845.77742.22256
1785140.495310.5047
1795342.131710.8683
1802942.0449-13.0449
1812941.773-12.773
1825540.975114.0249
1835440.253213.7468
1844335.82597.17413
1855140.311110.6889
1862039.2755-19.2755
1877940.750238.2498
1883938.80850.191539
1896142.300718.6993
1905541.92313.077
1913038.6531-8.65312
1925540.962414.0376
1932242.3449-20.3449
1943743.0967-6.09668
195243.5015-41.5015
1963841.8778-3.87782
1972739.3045-12.3045
1985643.801412.1986
1992540.7076-15.7076
2003942.6449-3.64486
2013336.8413-3.84132
2024340.5362.46396
2035740.629116.3709
2044340.4152.58502
2052339.9523-16.9523
2064443.06680.933185
2075440.571413.4286
2082842.5699-14.5699
2093641.8651-5.86511
2103941.0466-2.04664
2111641.2128-25.2128
2122337.1873-14.1873
2134041.2814-1.2814
2142437.8019-13.8019
2152940.2106-11.2106
2167838.870739.1293
2175740.721216.2788
2183741.3221-4.3221
2192742.6639-15.6639
2206142.04418.956
2212742.2709-15.2709
2226941.414227.5858
2233440.1601-6.16015
2244437.81366.18636
2252138.0033-17.0033
2263442.2699-8.26991
2273939.2755-0.275542
2285141.78579.21431
2293441.923-7.92295
2303142.7027-11.7027
2311341.6058-28.6058
2321240.93-28.93
2335141.24179.75826
2342440.583-16.583
2351941.9401-22.9401
2363042.4949-12.4949
2378142.766938.2331
2384241.12610.873949
2392243.1888-21.1888
2408540.153744.8463
2412743.3849-16.3849
2422540.7502-15.7502
2432242.4678-20.4678
2441941.923-22.923
2451441.7151-27.7151
2464543.14271.85726
2474538.08126.91881
2482842.7488-14.7488
2495144.52976.47034
2504140.77910.220913
2513141.5471-10.5471
2527440.640933.3591
2532441.2932-17.2932
2541940.4963-21.4963
2555141.51819.48186
2567338.836434.1636
2572437.7259-13.7259
2586142.540918.4591
2592343.4147-20.4147
2601442.1028-28.1028
2615442.329611.6704
2625140.80810.192
2636237.006924.9931
2643639.647-3.647
2655941.96917.031
2662441.8887-17.8887
2672644.2704-18.2704
2685441.877812.1222
2693938.40270.597287
2701640.0264-24.0264
2713641.0501-5.05012
2723139.2413-8.24125
2733141.5343-10.5343
2744240.34441.65558
2753941.08-2.07998
2762536.4194-11.4194
2773143.4001-12.4001
2783843.6686-5.66861
2793142.466-11.466
2801742.0269-25.0269
2812241.8156-19.8156
2825540.795314.2047
2836241.564220.4358
2845142.0448.95599
2853039.8141-9.81413
2864941.87697.12312
2871639.8891-23.8891

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 68 & 36.2018 & 31.7982 \tabularnewline
2 & 55 & 40.9698 & 14.0302 \tabularnewline
3 & 39 & 41.304 & -2.30401 \tabularnewline
4 & 32 & 38.0856 & -6.08561 \tabularnewline
5 & 62 & 43.7147 & 18.2853 \tabularnewline
6 & 33 & 39.7681 & -6.76806 \tabularnewline
7 & 52 & 41.2878 & 10.7122 \tabularnewline
8 & 62 & 40.3273 & 21.6727 \tabularnewline
9 & 77 & 39.3515 & 37.6485 \tabularnewline
10 & 76 & 46.0774 & 29.9226 \tabularnewline
11 & 41 & 42.7541 & -1.75414 \tabularnewline
12 & 48 & 40.8198 & 7.18021 \tabularnewline
13 & 63 & 43.28 & 19.72 \tabularnewline
14 & 30 & 41.3167 & -11.3167 \tabularnewline
15 & 78 & 42.438 & 35.562 \tabularnewline
16 & 19 & 44.0616 & -25.0616 \tabularnewline
17 & 31 & 42.194 & -11.194 \tabularnewline
18 & 66 & 39.7681 & 26.2319 \tabularnewline
19 & 35 & 41.4721 & -6.47208 \tabularnewline
20 & 42 & 41.1423 & 0.857744 \tabularnewline
21 & 45 & 44.7546 & 0.245373 \tabularnewline
22 & 21 & 43.5069 & -22.5069 \tabularnewline
23 & 25 & 42.1533 & -17.1533 \tabularnewline
24 & 44 & 41.5931 & 2.40687 \tabularnewline
25 & 69 & 41.5471 & 27.4529 \tabularnewline
26 & 54 & 43.1717 & 10.8283 \tabularnewline
27 & 74 & 40.9751 & 33.0249 \tabularnewline
28 & 80 & 40.6444 & 39.3556 \tabularnewline
29 & 42 & 40.8252 & 1.17485 \tabularnewline
30 & 61 & 42.6449 & 18.3551 \tabularnewline
31 & 41 & 41.548 & -0.548004 \tabularnewline
32 & 46 & 38.6198 & 7.38023 \tabularnewline
33 & 39 & 41.2932 & -2.29317 \tabularnewline
34 & 63 & 43.5911 & 19.4089 \tabularnewline
35 & 34 & 41.651 & -7.65098 \tabularnewline
36 & 51 & 36.7997 & 14.2003 \tabularnewline
37 & 42 & 41.5137 & 0.486284 \tabularnewline
38 & 31 & 41.5769 & -10.5769 \tabularnewline
39 & 39 & 41.2643 & -2.26425 \tabularnewline
40 & 20 & 41.501 & -21.501 \tabularnewline
41 & 49 & 42.119 & 6.881 \tabularnewline
42 & 53 & 40.5541 & 12.4459 \tabularnewline
43 & 31 & 38.8663 & -7.86631 \tabularnewline
44 & 39 & 40.2993 & -1.29929 \tabularnewline
45 & 54 & 40.3914 & 13.6086 \tabularnewline
46 & 49 & 36.7031 & 12.2969 \tabularnewline
47 & 34 & 36.7158 & -2.71584 \tabularnewline
48 & 46 & 43.1879 & 2.81213 \tabularnewline
49 & 55 & 41.3637 & 13.6363 \tabularnewline
50 & 42 & 42.0901 & -0.0900742 \tabularnewline
51 & 50 & 43.084 & 6.91604 \tabularnewline
52 & 13 & 41.8445 & -28.8445 \tabularnewline
53 & 37 & 42.4615 & -5.46153 \tabularnewline
54 & 25 & 40.1484 & -15.1484 \tabularnewline
55 & 30 & 39.0795 & -9.0795 \tabularnewline
56 & 28 & 43.7436 & -15.7436 \tabularnewline
57 & 45 & 42.437 & 2.56296 \tabularnewline
58 & 35 & 41.7901 & -6.79012 \tabularnewline
59 & 28 & 40.8795 & -12.8795 \tabularnewline
60 & 41 & 41.0501 & -0.0501224 \tabularnewline
61 & 6 & 39.1716 & -33.1716 \tabularnewline
62 & 45 & 40.93 & 4.06999 \tabularnewline
63 & 73 & 43.3226 & 29.6774 \tabularnewline
64 & 17 & 41.4432 & -24.4432 \tabularnewline
65 & 40 & 39.6181 & 0.38192 \tabularnewline
66 & 64 & 39.7102 & 24.2898 \tabularnewline
67 & 37 & 40.4023 & -3.40226 \tabularnewline
68 & 25 & 39.0966 & -14.0966 \tabularnewline
69 & 65 & 43.0957 & 21.9043 \tabularnewline
70 & 100 & 42.2238 & 57.7762 \tabularnewline
71 & 28 & 39.5186 & -11.5186 \tabularnewline
72 & 35 & 38.6874 & -3.68741 \tabularnewline
73 & 56 & 39.9225 & 16.0775 \tabularnewline
74 & 29 & 39.5926 & -10.5926 \tabularnewline
75 & 43 & 41.8019 & 1.1981 \tabularnewline
76 & 59 & 42.7659 & 16.2341 \tabularnewline
77 & 52 & 40.2189 & 11.7811 \tabularnewline
78 & 50 & 38.6296 & 11.3704 \tabularnewline
79 & 3 & 41.6681 & -38.6681 \tabularnewline
80 & 59 & 39.6641 & 19.3359 \tabularnewline
81 & 27 & 38.4326 & -11.4326 \tabularnewline
82 & 61 & 44.2415 & 16.7585 \tabularnewline
83 & 28 & 38.2483 & -10.2483 \tabularnewline
84 & 51 & 41.0041 & 9.99594 \tabularnewline
85 & 35 & 39.7725 & -4.77248 \tabularnewline
86 & 29 & 41.0673 & -12.0673 \tabularnewline
87 & 48 & 41.6068 & 6.39321 \tabularnewline
88 & 25 & 41.0952 & -16.0952 \tabularnewline
89 & 44 & 40.1449 & 3.85512 \tabularnewline
90 & 64 & 41.923 & 22.077 \tabularnewline
91 & 32 & 41.3844 & -9.38437 \tabularnewline
92 & 20 & 43.7735 & -23.7735 \tabularnewline
93 & 28 & 41.8019 & -13.8019 \tabularnewline
94 & 34 & 41.3221 & -7.3221 \tabularnewline
95 & 31 & 40.9291 & -9.92907 \tabularnewline
96 & 26 & 37.9185 & -11.9185 \tabularnewline
97 & 58 & 43.2339 & 14.7661 \tabularnewline
98 & 23 & 39.0589 & -16.0589 \tabularnewline
99 & 21 & 40.687 & -19.687 \tabularnewline
100 & 21 & 43.4716 & -22.4716 \tabularnewline
101 & 33 & 41.9519 & -8.95187 \tabularnewline
102 & 16 & 41.819 & -25.819 \tabularnewline
103 & 20 & 39.6931 & -19.6931 \tabularnewline
104 & 37 & 42.9168 & -5.91684 \tabularnewline
105 & 35 & 41.651 & -6.65098 \tabularnewline
106 & 33 & 43.3966 & -10.3966 \tabularnewline
107 & 27 & 35.4553 & -8.45535 \tabularnewline
108 & 41 & 41.7313 & -0.731332 \tabularnewline
109 & 40 & 42.7634 & -2.76337 \tabularnewline
110 & 35 & 41.155 & -6.15497 \tabularnewline
111 & 28 & 40.0778 & -12.0778 \tabularnewline
112 & 32 & 40.7212 & -8.72124 \tabularnewline
113 & 22 & 41.4422 & -19.4422 \tabularnewline
114 & 44 & 42.3748 & 1.62523 \tabularnewline
115 & 27 & 43.1717 & -16.1717 \tabularnewline
116 & 17 & 41.4883 & -24.4883 \tabularnewline
117 & 12 & 40.5992 & -28.5992 \tabularnewline
118 & 45 & 34.9947 & 10.0053 \tabularnewline
119 & 37 & 41.7984 & -4.79841 \tabularnewline
120 & 37 & 41.8597 & -4.85974 \tabularnewline
121 & 108 & 40.1827 & 67.8173 \tabularnewline
122 & 10 & 40.4655 & -30.4655 \tabularnewline
123 & 68 & 40.4203 & 27.5797 \tabularnewline
124 & 72 & 41.9401 & 30.0599 \tabularnewline
125 & 143 & 43.0045 & 99.9955 \tabularnewline
126 & 9 & 40.9001 & -31.9001 \tabularnewline
127 & 55 & 38.8536 & 16.1464 \tabularnewline
128 & 17 & 43.084 & -26.084 \tabularnewline
129 & 37 & 41.6176 & -4.61763 \tabularnewline
130 & 27 & 41.7269 & -14.7269 \tabularnewline
131 & 37 & 38.4444 & -1.44435 \tabularnewline
132 & 58 & 40.3905 & 17.6095 \tabularnewline
133 & 66 & 44.3327 & 21.6673 \tabularnewline
134 & 21 & 40.2234 & -19.2234 \tabularnewline
135 & 19 & 39.7843 & -20.7843 \tabularnewline
136 & 78 & 41.7431 & 36.2569 \tabularnewline
137 & 35 & 40.9932 & -5.99322 \tabularnewline
138 & 48 & 43.5304 & 4.46959 \tabularnewline
139 & 27 & 36.854 & -9.85404 \tabularnewline
140 & 43 & 43.1707 & -0.170727 \tabularnewline
141 & 30 & 39.6343 & -9.63428 \tabularnewline
142 & 25 & 42.1959 & -17.1959 \tabularnewline
143 & 69 & 42.5997 & 26.4003 \tabularnewline
144 & 72 & 43.2358 & 28.7642 \tabularnewline
145 & 23 & 37.9303 & -14.9303 \tabularnewline
146 & 13 & 41.4568 & -28.4568 \tabularnewline
147 & 61 & 44.1656 & 16.8344 \tabularnewline
148 & 43 & 43.3941 & -0.394087 \tabularnewline
149 & 22 & 41.3682 & -19.3682 \tabularnewline
150 & 51 & 41.97 & 9.03004 \tabularnewline
151 & 67 & 38.9584 & 28.0416 \tabularnewline
152 & 36 & 45.3104 & -9.31035 \tabularnewline
153 & 21 & 40.2523 & -19.2523 \tabularnewline
154 & 44 & 41.8028 & 2.19717 \tabularnewline
155 & 45 & 40.1773 & 4.82271 \tabularnewline
156 & 34 & 40.1944 & -6.19444 \tabularnewline
157 & 36 & 43.4906 & -7.49065 \tabularnewline
158 & 72 & 42.0739 & 29.9261 \tabularnewline
159 & 39 & 42.4326 & -3.43261 \tabularnewline
160 & 43 & 36.6698 & 6.33023 \tabularnewline
161 & 25 & 42.4361 & -17.4361 \tabularnewline
162 & 56 & 42.0195 & 13.9805 \tabularnewline
163 & 80 & 44.0778 & 35.9222 \tabularnewline
164 & 40 & 42.2709 & -2.27085 \tabularnewline
165 & 73 & 42.9168 & 30.0832 \tabularnewline
166 & 34 & 38.2238 & -4.22381 \tabularnewline
167 & 72 & 40.2072 & 31.7928 \tabularnewline
168 & 42 & 41.2633 & 0.736688 \tabularnewline
169 & 61 & 37.7891 & 23.2109 \tabularnewline
170 & 23 & 42.7208 & -19.7208 \tabularnewline
171 & 74 & 42.7173 & 31.2827 \tabularnewline
172 & 16 & 40.8948 & -24.8948 \tabularnewline
173 & 66 & 40.8712 & 25.1288 \tabularnewline
174 & 9 & 42.5546 & -33.5546 \tabularnewline
175 & 41 & 42.6792 & -1.67915 \tabularnewline
176 & 57 & 42.5067 & 14.4933 \tabularnewline
177 & 48 & 45.7774 & 2.22256 \tabularnewline
178 & 51 & 40.4953 & 10.5047 \tabularnewline
179 & 53 & 42.1317 & 10.8683 \tabularnewline
180 & 29 & 42.0449 & -13.0449 \tabularnewline
181 & 29 & 41.773 & -12.773 \tabularnewline
182 & 55 & 40.9751 & 14.0249 \tabularnewline
183 & 54 & 40.2532 & 13.7468 \tabularnewline
184 & 43 & 35.8259 & 7.17413 \tabularnewline
185 & 51 & 40.3111 & 10.6889 \tabularnewline
186 & 20 & 39.2755 & -19.2755 \tabularnewline
187 & 79 & 40.7502 & 38.2498 \tabularnewline
188 & 39 & 38.8085 & 0.191539 \tabularnewline
189 & 61 & 42.3007 & 18.6993 \tabularnewline
190 & 55 & 41.923 & 13.077 \tabularnewline
191 & 30 & 38.6531 & -8.65312 \tabularnewline
192 & 55 & 40.9624 & 14.0376 \tabularnewline
193 & 22 & 42.3449 & -20.3449 \tabularnewline
194 & 37 & 43.0967 & -6.09668 \tabularnewline
195 & 2 & 43.5015 & -41.5015 \tabularnewline
196 & 38 & 41.8778 & -3.87782 \tabularnewline
197 & 27 & 39.3045 & -12.3045 \tabularnewline
198 & 56 & 43.8014 & 12.1986 \tabularnewline
199 & 25 & 40.7076 & -15.7076 \tabularnewline
200 & 39 & 42.6449 & -3.64486 \tabularnewline
201 & 33 & 36.8413 & -3.84132 \tabularnewline
202 & 43 & 40.536 & 2.46396 \tabularnewline
203 & 57 & 40.6291 & 16.3709 \tabularnewline
204 & 43 & 40.415 & 2.58502 \tabularnewline
205 & 23 & 39.9523 & -16.9523 \tabularnewline
206 & 44 & 43.0668 & 0.933185 \tabularnewline
207 & 54 & 40.5714 & 13.4286 \tabularnewline
208 & 28 & 42.5699 & -14.5699 \tabularnewline
209 & 36 & 41.8651 & -5.86511 \tabularnewline
210 & 39 & 41.0466 & -2.04664 \tabularnewline
211 & 16 & 41.2128 & -25.2128 \tabularnewline
212 & 23 & 37.1873 & -14.1873 \tabularnewline
213 & 40 & 41.2814 & -1.2814 \tabularnewline
214 & 24 & 37.8019 & -13.8019 \tabularnewline
215 & 29 & 40.2106 & -11.2106 \tabularnewline
216 & 78 & 38.8707 & 39.1293 \tabularnewline
217 & 57 & 40.7212 & 16.2788 \tabularnewline
218 & 37 & 41.3221 & -4.3221 \tabularnewline
219 & 27 & 42.6639 & -15.6639 \tabularnewline
220 & 61 & 42.044 & 18.956 \tabularnewline
221 & 27 & 42.2709 & -15.2709 \tabularnewline
222 & 69 & 41.4142 & 27.5858 \tabularnewline
223 & 34 & 40.1601 & -6.16015 \tabularnewline
224 & 44 & 37.8136 & 6.18636 \tabularnewline
225 & 21 & 38.0033 & -17.0033 \tabularnewline
226 & 34 & 42.2699 & -8.26991 \tabularnewline
227 & 39 & 39.2755 & -0.275542 \tabularnewline
228 & 51 & 41.7857 & 9.21431 \tabularnewline
229 & 34 & 41.923 & -7.92295 \tabularnewline
230 & 31 & 42.7027 & -11.7027 \tabularnewline
231 & 13 & 41.6058 & -28.6058 \tabularnewline
232 & 12 & 40.93 & -28.93 \tabularnewline
233 & 51 & 41.2417 & 9.75826 \tabularnewline
234 & 24 & 40.583 & -16.583 \tabularnewline
235 & 19 & 41.9401 & -22.9401 \tabularnewline
236 & 30 & 42.4949 & -12.4949 \tabularnewline
237 & 81 & 42.7669 & 38.2331 \tabularnewline
238 & 42 & 41.1261 & 0.873949 \tabularnewline
239 & 22 & 43.1888 & -21.1888 \tabularnewline
240 & 85 & 40.1537 & 44.8463 \tabularnewline
241 & 27 & 43.3849 & -16.3849 \tabularnewline
242 & 25 & 40.7502 & -15.7502 \tabularnewline
243 & 22 & 42.4678 & -20.4678 \tabularnewline
244 & 19 & 41.923 & -22.923 \tabularnewline
245 & 14 & 41.7151 & -27.7151 \tabularnewline
246 & 45 & 43.1427 & 1.85726 \tabularnewline
247 & 45 & 38.0812 & 6.91881 \tabularnewline
248 & 28 & 42.7488 & -14.7488 \tabularnewline
249 & 51 & 44.5297 & 6.47034 \tabularnewline
250 & 41 & 40.7791 & 0.220913 \tabularnewline
251 & 31 & 41.5471 & -10.5471 \tabularnewline
252 & 74 & 40.6409 & 33.3591 \tabularnewline
253 & 24 & 41.2932 & -17.2932 \tabularnewline
254 & 19 & 40.4963 & -21.4963 \tabularnewline
255 & 51 & 41.5181 & 9.48186 \tabularnewline
256 & 73 & 38.8364 & 34.1636 \tabularnewline
257 & 24 & 37.7259 & -13.7259 \tabularnewline
258 & 61 & 42.5409 & 18.4591 \tabularnewline
259 & 23 & 43.4147 & -20.4147 \tabularnewline
260 & 14 & 42.1028 & -28.1028 \tabularnewline
261 & 54 & 42.3296 & 11.6704 \tabularnewline
262 & 51 & 40.808 & 10.192 \tabularnewline
263 & 62 & 37.0069 & 24.9931 \tabularnewline
264 & 36 & 39.647 & -3.647 \tabularnewline
265 & 59 & 41.969 & 17.031 \tabularnewline
266 & 24 & 41.8887 & -17.8887 \tabularnewline
267 & 26 & 44.2704 & -18.2704 \tabularnewline
268 & 54 & 41.8778 & 12.1222 \tabularnewline
269 & 39 & 38.4027 & 0.597287 \tabularnewline
270 & 16 & 40.0264 & -24.0264 \tabularnewline
271 & 36 & 41.0501 & -5.05012 \tabularnewline
272 & 31 & 39.2413 & -8.24125 \tabularnewline
273 & 31 & 41.5343 & -10.5343 \tabularnewline
274 & 42 & 40.3444 & 1.65558 \tabularnewline
275 & 39 & 41.08 & -2.07998 \tabularnewline
276 & 25 & 36.4194 & -11.4194 \tabularnewline
277 & 31 & 43.4001 & -12.4001 \tabularnewline
278 & 38 & 43.6686 & -5.66861 \tabularnewline
279 & 31 & 42.466 & -11.466 \tabularnewline
280 & 17 & 42.0269 & -25.0269 \tabularnewline
281 & 22 & 41.8156 & -19.8156 \tabularnewline
282 & 55 & 40.7953 & 14.2047 \tabularnewline
283 & 62 & 41.5642 & 20.4358 \tabularnewline
284 & 51 & 42.044 & 8.95599 \tabularnewline
285 & 30 & 39.8141 & -9.81413 \tabularnewline
286 & 49 & 41.8769 & 7.12312 \tabularnewline
287 & 16 & 39.8891 & -23.8891 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266316&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]36.2018[/C][C]31.7982[/C][/ROW]
[ROW][C]2[/C][C]55[/C][C]40.9698[/C][C]14.0302[/C][/ROW]
[ROW][C]3[/C][C]39[/C][C]41.304[/C][C]-2.30401[/C][/ROW]
[ROW][C]4[/C][C]32[/C][C]38.0856[/C][C]-6.08561[/C][/ROW]
[ROW][C]5[/C][C]62[/C][C]43.7147[/C][C]18.2853[/C][/ROW]
[ROW][C]6[/C][C]33[/C][C]39.7681[/C][C]-6.76806[/C][/ROW]
[ROW][C]7[/C][C]52[/C][C]41.2878[/C][C]10.7122[/C][/ROW]
[ROW][C]8[/C][C]62[/C][C]40.3273[/C][C]21.6727[/C][/ROW]
[ROW][C]9[/C][C]77[/C][C]39.3515[/C][C]37.6485[/C][/ROW]
[ROW][C]10[/C][C]76[/C][C]46.0774[/C][C]29.9226[/C][/ROW]
[ROW][C]11[/C][C]41[/C][C]42.7541[/C][C]-1.75414[/C][/ROW]
[ROW][C]12[/C][C]48[/C][C]40.8198[/C][C]7.18021[/C][/ROW]
[ROW][C]13[/C][C]63[/C][C]43.28[/C][C]19.72[/C][/ROW]
[ROW][C]14[/C][C]30[/C][C]41.3167[/C][C]-11.3167[/C][/ROW]
[ROW][C]15[/C][C]78[/C][C]42.438[/C][C]35.562[/C][/ROW]
[ROW][C]16[/C][C]19[/C][C]44.0616[/C][C]-25.0616[/C][/ROW]
[ROW][C]17[/C][C]31[/C][C]42.194[/C][C]-11.194[/C][/ROW]
[ROW][C]18[/C][C]66[/C][C]39.7681[/C][C]26.2319[/C][/ROW]
[ROW][C]19[/C][C]35[/C][C]41.4721[/C][C]-6.47208[/C][/ROW]
[ROW][C]20[/C][C]42[/C][C]41.1423[/C][C]0.857744[/C][/ROW]
[ROW][C]21[/C][C]45[/C][C]44.7546[/C][C]0.245373[/C][/ROW]
[ROW][C]22[/C][C]21[/C][C]43.5069[/C][C]-22.5069[/C][/ROW]
[ROW][C]23[/C][C]25[/C][C]42.1533[/C][C]-17.1533[/C][/ROW]
[ROW][C]24[/C][C]44[/C][C]41.5931[/C][C]2.40687[/C][/ROW]
[ROW][C]25[/C][C]69[/C][C]41.5471[/C][C]27.4529[/C][/ROW]
[ROW][C]26[/C][C]54[/C][C]43.1717[/C][C]10.8283[/C][/ROW]
[ROW][C]27[/C][C]74[/C][C]40.9751[/C][C]33.0249[/C][/ROW]
[ROW][C]28[/C][C]80[/C][C]40.6444[/C][C]39.3556[/C][/ROW]
[ROW][C]29[/C][C]42[/C][C]40.8252[/C][C]1.17485[/C][/ROW]
[ROW][C]30[/C][C]61[/C][C]42.6449[/C][C]18.3551[/C][/ROW]
[ROW][C]31[/C][C]41[/C][C]41.548[/C][C]-0.548004[/C][/ROW]
[ROW][C]32[/C][C]46[/C][C]38.6198[/C][C]7.38023[/C][/ROW]
[ROW][C]33[/C][C]39[/C][C]41.2932[/C][C]-2.29317[/C][/ROW]
[ROW][C]34[/C][C]63[/C][C]43.5911[/C][C]19.4089[/C][/ROW]
[ROW][C]35[/C][C]34[/C][C]41.651[/C][C]-7.65098[/C][/ROW]
[ROW][C]36[/C][C]51[/C][C]36.7997[/C][C]14.2003[/C][/ROW]
[ROW][C]37[/C][C]42[/C][C]41.5137[/C][C]0.486284[/C][/ROW]
[ROW][C]38[/C][C]31[/C][C]41.5769[/C][C]-10.5769[/C][/ROW]
[ROW][C]39[/C][C]39[/C][C]41.2643[/C][C]-2.26425[/C][/ROW]
[ROW][C]40[/C][C]20[/C][C]41.501[/C][C]-21.501[/C][/ROW]
[ROW][C]41[/C][C]49[/C][C]42.119[/C][C]6.881[/C][/ROW]
[ROW][C]42[/C][C]53[/C][C]40.5541[/C][C]12.4459[/C][/ROW]
[ROW][C]43[/C][C]31[/C][C]38.8663[/C][C]-7.86631[/C][/ROW]
[ROW][C]44[/C][C]39[/C][C]40.2993[/C][C]-1.29929[/C][/ROW]
[ROW][C]45[/C][C]54[/C][C]40.3914[/C][C]13.6086[/C][/ROW]
[ROW][C]46[/C][C]49[/C][C]36.7031[/C][C]12.2969[/C][/ROW]
[ROW][C]47[/C][C]34[/C][C]36.7158[/C][C]-2.71584[/C][/ROW]
[ROW][C]48[/C][C]46[/C][C]43.1879[/C][C]2.81213[/C][/ROW]
[ROW][C]49[/C][C]55[/C][C]41.3637[/C][C]13.6363[/C][/ROW]
[ROW][C]50[/C][C]42[/C][C]42.0901[/C][C]-0.0900742[/C][/ROW]
[ROW][C]51[/C][C]50[/C][C]43.084[/C][C]6.91604[/C][/ROW]
[ROW][C]52[/C][C]13[/C][C]41.8445[/C][C]-28.8445[/C][/ROW]
[ROW][C]53[/C][C]37[/C][C]42.4615[/C][C]-5.46153[/C][/ROW]
[ROW][C]54[/C][C]25[/C][C]40.1484[/C][C]-15.1484[/C][/ROW]
[ROW][C]55[/C][C]30[/C][C]39.0795[/C][C]-9.0795[/C][/ROW]
[ROW][C]56[/C][C]28[/C][C]43.7436[/C][C]-15.7436[/C][/ROW]
[ROW][C]57[/C][C]45[/C][C]42.437[/C][C]2.56296[/C][/ROW]
[ROW][C]58[/C][C]35[/C][C]41.7901[/C][C]-6.79012[/C][/ROW]
[ROW][C]59[/C][C]28[/C][C]40.8795[/C][C]-12.8795[/C][/ROW]
[ROW][C]60[/C][C]41[/C][C]41.0501[/C][C]-0.0501224[/C][/ROW]
[ROW][C]61[/C][C]6[/C][C]39.1716[/C][C]-33.1716[/C][/ROW]
[ROW][C]62[/C][C]45[/C][C]40.93[/C][C]4.06999[/C][/ROW]
[ROW][C]63[/C][C]73[/C][C]43.3226[/C][C]29.6774[/C][/ROW]
[ROW][C]64[/C][C]17[/C][C]41.4432[/C][C]-24.4432[/C][/ROW]
[ROW][C]65[/C][C]40[/C][C]39.6181[/C][C]0.38192[/C][/ROW]
[ROW][C]66[/C][C]64[/C][C]39.7102[/C][C]24.2898[/C][/ROW]
[ROW][C]67[/C][C]37[/C][C]40.4023[/C][C]-3.40226[/C][/ROW]
[ROW][C]68[/C][C]25[/C][C]39.0966[/C][C]-14.0966[/C][/ROW]
[ROW][C]69[/C][C]65[/C][C]43.0957[/C][C]21.9043[/C][/ROW]
[ROW][C]70[/C][C]100[/C][C]42.2238[/C][C]57.7762[/C][/ROW]
[ROW][C]71[/C][C]28[/C][C]39.5186[/C][C]-11.5186[/C][/ROW]
[ROW][C]72[/C][C]35[/C][C]38.6874[/C][C]-3.68741[/C][/ROW]
[ROW][C]73[/C][C]56[/C][C]39.9225[/C][C]16.0775[/C][/ROW]
[ROW][C]74[/C][C]29[/C][C]39.5926[/C][C]-10.5926[/C][/ROW]
[ROW][C]75[/C][C]43[/C][C]41.8019[/C][C]1.1981[/C][/ROW]
[ROW][C]76[/C][C]59[/C][C]42.7659[/C][C]16.2341[/C][/ROW]
[ROW][C]77[/C][C]52[/C][C]40.2189[/C][C]11.7811[/C][/ROW]
[ROW][C]78[/C][C]50[/C][C]38.6296[/C][C]11.3704[/C][/ROW]
[ROW][C]79[/C][C]3[/C][C]41.6681[/C][C]-38.6681[/C][/ROW]
[ROW][C]80[/C][C]59[/C][C]39.6641[/C][C]19.3359[/C][/ROW]
[ROW][C]81[/C][C]27[/C][C]38.4326[/C][C]-11.4326[/C][/ROW]
[ROW][C]82[/C][C]61[/C][C]44.2415[/C][C]16.7585[/C][/ROW]
[ROW][C]83[/C][C]28[/C][C]38.2483[/C][C]-10.2483[/C][/ROW]
[ROW][C]84[/C][C]51[/C][C]41.0041[/C][C]9.99594[/C][/ROW]
[ROW][C]85[/C][C]35[/C][C]39.7725[/C][C]-4.77248[/C][/ROW]
[ROW][C]86[/C][C]29[/C][C]41.0673[/C][C]-12.0673[/C][/ROW]
[ROW][C]87[/C][C]48[/C][C]41.6068[/C][C]6.39321[/C][/ROW]
[ROW][C]88[/C][C]25[/C][C]41.0952[/C][C]-16.0952[/C][/ROW]
[ROW][C]89[/C][C]44[/C][C]40.1449[/C][C]3.85512[/C][/ROW]
[ROW][C]90[/C][C]64[/C][C]41.923[/C][C]22.077[/C][/ROW]
[ROW][C]91[/C][C]32[/C][C]41.3844[/C][C]-9.38437[/C][/ROW]
[ROW][C]92[/C][C]20[/C][C]43.7735[/C][C]-23.7735[/C][/ROW]
[ROW][C]93[/C][C]28[/C][C]41.8019[/C][C]-13.8019[/C][/ROW]
[ROW][C]94[/C][C]34[/C][C]41.3221[/C][C]-7.3221[/C][/ROW]
[ROW][C]95[/C][C]31[/C][C]40.9291[/C][C]-9.92907[/C][/ROW]
[ROW][C]96[/C][C]26[/C][C]37.9185[/C][C]-11.9185[/C][/ROW]
[ROW][C]97[/C][C]58[/C][C]43.2339[/C][C]14.7661[/C][/ROW]
[ROW][C]98[/C][C]23[/C][C]39.0589[/C][C]-16.0589[/C][/ROW]
[ROW][C]99[/C][C]21[/C][C]40.687[/C][C]-19.687[/C][/ROW]
[ROW][C]100[/C][C]21[/C][C]43.4716[/C][C]-22.4716[/C][/ROW]
[ROW][C]101[/C][C]33[/C][C]41.9519[/C][C]-8.95187[/C][/ROW]
[ROW][C]102[/C][C]16[/C][C]41.819[/C][C]-25.819[/C][/ROW]
[ROW][C]103[/C][C]20[/C][C]39.6931[/C][C]-19.6931[/C][/ROW]
[ROW][C]104[/C][C]37[/C][C]42.9168[/C][C]-5.91684[/C][/ROW]
[ROW][C]105[/C][C]35[/C][C]41.651[/C][C]-6.65098[/C][/ROW]
[ROW][C]106[/C][C]33[/C][C]43.3966[/C][C]-10.3966[/C][/ROW]
[ROW][C]107[/C][C]27[/C][C]35.4553[/C][C]-8.45535[/C][/ROW]
[ROW][C]108[/C][C]41[/C][C]41.7313[/C][C]-0.731332[/C][/ROW]
[ROW][C]109[/C][C]40[/C][C]42.7634[/C][C]-2.76337[/C][/ROW]
[ROW][C]110[/C][C]35[/C][C]41.155[/C][C]-6.15497[/C][/ROW]
[ROW][C]111[/C][C]28[/C][C]40.0778[/C][C]-12.0778[/C][/ROW]
[ROW][C]112[/C][C]32[/C][C]40.7212[/C][C]-8.72124[/C][/ROW]
[ROW][C]113[/C][C]22[/C][C]41.4422[/C][C]-19.4422[/C][/ROW]
[ROW][C]114[/C][C]44[/C][C]42.3748[/C][C]1.62523[/C][/ROW]
[ROW][C]115[/C][C]27[/C][C]43.1717[/C][C]-16.1717[/C][/ROW]
[ROW][C]116[/C][C]17[/C][C]41.4883[/C][C]-24.4883[/C][/ROW]
[ROW][C]117[/C][C]12[/C][C]40.5992[/C][C]-28.5992[/C][/ROW]
[ROW][C]118[/C][C]45[/C][C]34.9947[/C][C]10.0053[/C][/ROW]
[ROW][C]119[/C][C]37[/C][C]41.7984[/C][C]-4.79841[/C][/ROW]
[ROW][C]120[/C][C]37[/C][C]41.8597[/C][C]-4.85974[/C][/ROW]
[ROW][C]121[/C][C]108[/C][C]40.1827[/C][C]67.8173[/C][/ROW]
[ROW][C]122[/C][C]10[/C][C]40.4655[/C][C]-30.4655[/C][/ROW]
[ROW][C]123[/C][C]68[/C][C]40.4203[/C][C]27.5797[/C][/ROW]
[ROW][C]124[/C][C]72[/C][C]41.9401[/C][C]30.0599[/C][/ROW]
[ROW][C]125[/C][C]143[/C][C]43.0045[/C][C]99.9955[/C][/ROW]
[ROW][C]126[/C][C]9[/C][C]40.9001[/C][C]-31.9001[/C][/ROW]
[ROW][C]127[/C][C]55[/C][C]38.8536[/C][C]16.1464[/C][/ROW]
[ROW][C]128[/C][C]17[/C][C]43.084[/C][C]-26.084[/C][/ROW]
[ROW][C]129[/C][C]37[/C][C]41.6176[/C][C]-4.61763[/C][/ROW]
[ROW][C]130[/C][C]27[/C][C]41.7269[/C][C]-14.7269[/C][/ROW]
[ROW][C]131[/C][C]37[/C][C]38.4444[/C][C]-1.44435[/C][/ROW]
[ROW][C]132[/C][C]58[/C][C]40.3905[/C][C]17.6095[/C][/ROW]
[ROW][C]133[/C][C]66[/C][C]44.3327[/C][C]21.6673[/C][/ROW]
[ROW][C]134[/C][C]21[/C][C]40.2234[/C][C]-19.2234[/C][/ROW]
[ROW][C]135[/C][C]19[/C][C]39.7843[/C][C]-20.7843[/C][/ROW]
[ROW][C]136[/C][C]78[/C][C]41.7431[/C][C]36.2569[/C][/ROW]
[ROW][C]137[/C][C]35[/C][C]40.9932[/C][C]-5.99322[/C][/ROW]
[ROW][C]138[/C][C]48[/C][C]43.5304[/C][C]4.46959[/C][/ROW]
[ROW][C]139[/C][C]27[/C][C]36.854[/C][C]-9.85404[/C][/ROW]
[ROW][C]140[/C][C]43[/C][C]43.1707[/C][C]-0.170727[/C][/ROW]
[ROW][C]141[/C][C]30[/C][C]39.6343[/C][C]-9.63428[/C][/ROW]
[ROW][C]142[/C][C]25[/C][C]42.1959[/C][C]-17.1959[/C][/ROW]
[ROW][C]143[/C][C]69[/C][C]42.5997[/C][C]26.4003[/C][/ROW]
[ROW][C]144[/C][C]72[/C][C]43.2358[/C][C]28.7642[/C][/ROW]
[ROW][C]145[/C][C]23[/C][C]37.9303[/C][C]-14.9303[/C][/ROW]
[ROW][C]146[/C][C]13[/C][C]41.4568[/C][C]-28.4568[/C][/ROW]
[ROW][C]147[/C][C]61[/C][C]44.1656[/C][C]16.8344[/C][/ROW]
[ROW][C]148[/C][C]43[/C][C]43.3941[/C][C]-0.394087[/C][/ROW]
[ROW][C]149[/C][C]22[/C][C]41.3682[/C][C]-19.3682[/C][/ROW]
[ROW][C]150[/C][C]51[/C][C]41.97[/C][C]9.03004[/C][/ROW]
[ROW][C]151[/C][C]67[/C][C]38.9584[/C][C]28.0416[/C][/ROW]
[ROW][C]152[/C][C]36[/C][C]45.3104[/C][C]-9.31035[/C][/ROW]
[ROW][C]153[/C][C]21[/C][C]40.2523[/C][C]-19.2523[/C][/ROW]
[ROW][C]154[/C][C]44[/C][C]41.8028[/C][C]2.19717[/C][/ROW]
[ROW][C]155[/C][C]45[/C][C]40.1773[/C][C]4.82271[/C][/ROW]
[ROW][C]156[/C][C]34[/C][C]40.1944[/C][C]-6.19444[/C][/ROW]
[ROW][C]157[/C][C]36[/C][C]43.4906[/C][C]-7.49065[/C][/ROW]
[ROW][C]158[/C][C]72[/C][C]42.0739[/C][C]29.9261[/C][/ROW]
[ROW][C]159[/C][C]39[/C][C]42.4326[/C][C]-3.43261[/C][/ROW]
[ROW][C]160[/C][C]43[/C][C]36.6698[/C][C]6.33023[/C][/ROW]
[ROW][C]161[/C][C]25[/C][C]42.4361[/C][C]-17.4361[/C][/ROW]
[ROW][C]162[/C][C]56[/C][C]42.0195[/C][C]13.9805[/C][/ROW]
[ROW][C]163[/C][C]80[/C][C]44.0778[/C][C]35.9222[/C][/ROW]
[ROW][C]164[/C][C]40[/C][C]42.2709[/C][C]-2.27085[/C][/ROW]
[ROW][C]165[/C][C]73[/C][C]42.9168[/C][C]30.0832[/C][/ROW]
[ROW][C]166[/C][C]34[/C][C]38.2238[/C][C]-4.22381[/C][/ROW]
[ROW][C]167[/C][C]72[/C][C]40.2072[/C][C]31.7928[/C][/ROW]
[ROW][C]168[/C][C]42[/C][C]41.2633[/C][C]0.736688[/C][/ROW]
[ROW][C]169[/C][C]61[/C][C]37.7891[/C][C]23.2109[/C][/ROW]
[ROW][C]170[/C][C]23[/C][C]42.7208[/C][C]-19.7208[/C][/ROW]
[ROW][C]171[/C][C]74[/C][C]42.7173[/C][C]31.2827[/C][/ROW]
[ROW][C]172[/C][C]16[/C][C]40.8948[/C][C]-24.8948[/C][/ROW]
[ROW][C]173[/C][C]66[/C][C]40.8712[/C][C]25.1288[/C][/ROW]
[ROW][C]174[/C][C]9[/C][C]42.5546[/C][C]-33.5546[/C][/ROW]
[ROW][C]175[/C][C]41[/C][C]42.6792[/C][C]-1.67915[/C][/ROW]
[ROW][C]176[/C][C]57[/C][C]42.5067[/C][C]14.4933[/C][/ROW]
[ROW][C]177[/C][C]48[/C][C]45.7774[/C][C]2.22256[/C][/ROW]
[ROW][C]178[/C][C]51[/C][C]40.4953[/C][C]10.5047[/C][/ROW]
[ROW][C]179[/C][C]53[/C][C]42.1317[/C][C]10.8683[/C][/ROW]
[ROW][C]180[/C][C]29[/C][C]42.0449[/C][C]-13.0449[/C][/ROW]
[ROW][C]181[/C][C]29[/C][C]41.773[/C][C]-12.773[/C][/ROW]
[ROW][C]182[/C][C]55[/C][C]40.9751[/C][C]14.0249[/C][/ROW]
[ROW][C]183[/C][C]54[/C][C]40.2532[/C][C]13.7468[/C][/ROW]
[ROW][C]184[/C][C]43[/C][C]35.8259[/C][C]7.17413[/C][/ROW]
[ROW][C]185[/C][C]51[/C][C]40.3111[/C][C]10.6889[/C][/ROW]
[ROW][C]186[/C][C]20[/C][C]39.2755[/C][C]-19.2755[/C][/ROW]
[ROW][C]187[/C][C]79[/C][C]40.7502[/C][C]38.2498[/C][/ROW]
[ROW][C]188[/C][C]39[/C][C]38.8085[/C][C]0.191539[/C][/ROW]
[ROW][C]189[/C][C]61[/C][C]42.3007[/C][C]18.6993[/C][/ROW]
[ROW][C]190[/C][C]55[/C][C]41.923[/C][C]13.077[/C][/ROW]
[ROW][C]191[/C][C]30[/C][C]38.6531[/C][C]-8.65312[/C][/ROW]
[ROW][C]192[/C][C]55[/C][C]40.9624[/C][C]14.0376[/C][/ROW]
[ROW][C]193[/C][C]22[/C][C]42.3449[/C][C]-20.3449[/C][/ROW]
[ROW][C]194[/C][C]37[/C][C]43.0967[/C][C]-6.09668[/C][/ROW]
[ROW][C]195[/C][C]2[/C][C]43.5015[/C][C]-41.5015[/C][/ROW]
[ROW][C]196[/C][C]38[/C][C]41.8778[/C][C]-3.87782[/C][/ROW]
[ROW][C]197[/C][C]27[/C][C]39.3045[/C][C]-12.3045[/C][/ROW]
[ROW][C]198[/C][C]56[/C][C]43.8014[/C][C]12.1986[/C][/ROW]
[ROW][C]199[/C][C]25[/C][C]40.7076[/C][C]-15.7076[/C][/ROW]
[ROW][C]200[/C][C]39[/C][C]42.6449[/C][C]-3.64486[/C][/ROW]
[ROW][C]201[/C][C]33[/C][C]36.8413[/C][C]-3.84132[/C][/ROW]
[ROW][C]202[/C][C]43[/C][C]40.536[/C][C]2.46396[/C][/ROW]
[ROW][C]203[/C][C]57[/C][C]40.6291[/C][C]16.3709[/C][/ROW]
[ROW][C]204[/C][C]43[/C][C]40.415[/C][C]2.58502[/C][/ROW]
[ROW][C]205[/C][C]23[/C][C]39.9523[/C][C]-16.9523[/C][/ROW]
[ROW][C]206[/C][C]44[/C][C]43.0668[/C][C]0.933185[/C][/ROW]
[ROW][C]207[/C][C]54[/C][C]40.5714[/C][C]13.4286[/C][/ROW]
[ROW][C]208[/C][C]28[/C][C]42.5699[/C][C]-14.5699[/C][/ROW]
[ROW][C]209[/C][C]36[/C][C]41.8651[/C][C]-5.86511[/C][/ROW]
[ROW][C]210[/C][C]39[/C][C]41.0466[/C][C]-2.04664[/C][/ROW]
[ROW][C]211[/C][C]16[/C][C]41.2128[/C][C]-25.2128[/C][/ROW]
[ROW][C]212[/C][C]23[/C][C]37.1873[/C][C]-14.1873[/C][/ROW]
[ROW][C]213[/C][C]40[/C][C]41.2814[/C][C]-1.2814[/C][/ROW]
[ROW][C]214[/C][C]24[/C][C]37.8019[/C][C]-13.8019[/C][/ROW]
[ROW][C]215[/C][C]29[/C][C]40.2106[/C][C]-11.2106[/C][/ROW]
[ROW][C]216[/C][C]78[/C][C]38.8707[/C][C]39.1293[/C][/ROW]
[ROW][C]217[/C][C]57[/C][C]40.7212[/C][C]16.2788[/C][/ROW]
[ROW][C]218[/C][C]37[/C][C]41.3221[/C][C]-4.3221[/C][/ROW]
[ROW][C]219[/C][C]27[/C][C]42.6639[/C][C]-15.6639[/C][/ROW]
[ROW][C]220[/C][C]61[/C][C]42.044[/C][C]18.956[/C][/ROW]
[ROW][C]221[/C][C]27[/C][C]42.2709[/C][C]-15.2709[/C][/ROW]
[ROW][C]222[/C][C]69[/C][C]41.4142[/C][C]27.5858[/C][/ROW]
[ROW][C]223[/C][C]34[/C][C]40.1601[/C][C]-6.16015[/C][/ROW]
[ROW][C]224[/C][C]44[/C][C]37.8136[/C][C]6.18636[/C][/ROW]
[ROW][C]225[/C][C]21[/C][C]38.0033[/C][C]-17.0033[/C][/ROW]
[ROW][C]226[/C][C]34[/C][C]42.2699[/C][C]-8.26991[/C][/ROW]
[ROW][C]227[/C][C]39[/C][C]39.2755[/C][C]-0.275542[/C][/ROW]
[ROW][C]228[/C][C]51[/C][C]41.7857[/C][C]9.21431[/C][/ROW]
[ROW][C]229[/C][C]34[/C][C]41.923[/C][C]-7.92295[/C][/ROW]
[ROW][C]230[/C][C]31[/C][C]42.7027[/C][C]-11.7027[/C][/ROW]
[ROW][C]231[/C][C]13[/C][C]41.6058[/C][C]-28.6058[/C][/ROW]
[ROW][C]232[/C][C]12[/C][C]40.93[/C][C]-28.93[/C][/ROW]
[ROW][C]233[/C][C]51[/C][C]41.2417[/C][C]9.75826[/C][/ROW]
[ROW][C]234[/C][C]24[/C][C]40.583[/C][C]-16.583[/C][/ROW]
[ROW][C]235[/C][C]19[/C][C]41.9401[/C][C]-22.9401[/C][/ROW]
[ROW][C]236[/C][C]30[/C][C]42.4949[/C][C]-12.4949[/C][/ROW]
[ROW][C]237[/C][C]81[/C][C]42.7669[/C][C]38.2331[/C][/ROW]
[ROW][C]238[/C][C]42[/C][C]41.1261[/C][C]0.873949[/C][/ROW]
[ROW][C]239[/C][C]22[/C][C]43.1888[/C][C]-21.1888[/C][/ROW]
[ROW][C]240[/C][C]85[/C][C]40.1537[/C][C]44.8463[/C][/ROW]
[ROW][C]241[/C][C]27[/C][C]43.3849[/C][C]-16.3849[/C][/ROW]
[ROW][C]242[/C][C]25[/C][C]40.7502[/C][C]-15.7502[/C][/ROW]
[ROW][C]243[/C][C]22[/C][C]42.4678[/C][C]-20.4678[/C][/ROW]
[ROW][C]244[/C][C]19[/C][C]41.923[/C][C]-22.923[/C][/ROW]
[ROW][C]245[/C][C]14[/C][C]41.7151[/C][C]-27.7151[/C][/ROW]
[ROW][C]246[/C][C]45[/C][C]43.1427[/C][C]1.85726[/C][/ROW]
[ROW][C]247[/C][C]45[/C][C]38.0812[/C][C]6.91881[/C][/ROW]
[ROW][C]248[/C][C]28[/C][C]42.7488[/C][C]-14.7488[/C][/ROW]
[ROW][C]249[/C][C]51[/C][C]44.5297[/C][C]6.47034[/C][/ROW]
[ROW][C]250[/C][C]41[/C][C]40.7791[/C][C]0.220913[/C][/ROW]
[ROW][C]251[/C][C]31[/C][C]41.5471[/C][C]-10.5471[/C][/ROW]
[ROW][C]252[/C][C]74[/C][C]40.6409[/C][C]33.3591[/C][/ROW]
[ROW][C]253[/C][C]24[/C][C]41.2932[/C][C]-17.2932[/C][/ROW]
[ROW][C]254[/C][C]19[/C][C]40.4963[/C][C]-21.4963[/C][/ROW]
[ROW][C]255[/C][C]51[/C][C]41.5181[/C][C]9.48186[/C][/ROW]
[ROW][C]256[/C][C]73[/C][C]38.8364[/C][C]34.1636[/C][/ROW]
[ROW][C]257[/C][C]24[/C][C]37.7259[/C][C]-13.7259[/C][/ROW]
[ROW][C]258[/C][C]61[/C][C]42.5409[/C][C]18.4591[/C][/ROW]
[ROW][C]259[/C][C]23[/C][C]43.4147[/C][C]-20.4147[/C][/ROW]
[ROW][C]260[/C][C]14[/C][C]42.1028[/C][C]-28.1028[/C][/ROW]
[ROW][C]261[/C][C]54[/C][C]42.3296[/C][C]11.6704[/C][/ROW]
[ROW][C]262[/C][C]51[/C][C]40.808[/C][C]10.192[/C][/ROW]
[ROW][C]263[/C][C]62[/C][C]37.0069[/C][C]24.9931[/C][/ROW]
[ROW][C]264[/C][C]36[/C][C]39.647[/C][C]-3.647[/C][/ROW]
[ROW][C]265[/C][C]59[/C][C]41.969[/C][C]17.031[/C][/ROW]
[ROW][C]266[/C][C]24[/C][C]41.8887[/C][C]-17.8887[/C][/ROW]
[ROW][C]267[/C][C]26[/C][C]44.2704[/C][C]-18.2704[/C][/ROW]
[ROW][C]268[/C][C]54[/C][C]41.8778[/C][C]12.1222[/C][/ROW]
[ROW][C]269[/C][C]39[/C][C]38.4027[/C][C]0.597287[/C][/ROW]
[ROW][C]270[/C][C]16[/C][C]40.0264[/C][C]-24.0264[/C][/ROW]
[ROW][C]271[/C][C]36[/C][C]41.0501[/C][C]-5.05012[/C][/ROW]
[ROW][C]272[/C][C]31[/C][C]39.2413[/C][C]-8.24125[/C][/ROW]
[ROW][C]273[/C][C]31[/C][C]41.5343[/C][C]-10.5343[/C][/ROW]
[ROW][C]274[/C][C]42[/C][C]40.3444[/C][C]1.65558[/C][/ROW]
[ROW][C]275[/C][C]39[/C][C]41.08[/C][C]-2.07998[/C][/ROW]
[ROW][C]276[/C][C]25[/C][C]36.4194[/C][C]-11.4194[/C][/ROW]
[ROW][C]277[/C][C]31[/C][C]43.4001[/C][C]-12.4001[/C][/ROW]
[ROW][C]278[/C][C]38[/C][C]43.6686[/C][C]-5.66861[/C][/ROW]
[ROW][C]279[/C][C]31[/C][C]42.466[/C][C]-11.466[/C][/ROW]
[ROW][C]280[/C][C]17[/C][C]42.0269[/C][C]-25.0269[/C][/ROW]
[ROW][C]281[/C][C]22[/C][C]41.8156[/C][C]-19.8156[/C][/ROW]
[ROW][C]282[/C][C]55[/C][C]40.7953[/C][C]14.2047[/C][/ROW]
[ROW][C]283[/C][C]62[/C][C]41.5642[/C][C]20.4358[/C][/ROW]
[ROW][C]284[/C][C]51[/C][C]42.044[/C][C]8.95599[/C][/ROW]
[ROW][C]285[/C][C]30[/C][C]39.8141[/C][C]-9.81413[/C][/ROW]
[ROW][C]286[/C][C]49[/C][C]41.8769[/C][C]7.12312[/C][/ROW]
[ROW][C]287[/C][C]16[/C][C]39.8891[/C][C]-23.8891[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266316&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266316&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
16836.201831.7982
25540.969814.0302
33941.304-2.30401
43238.0856-6.08561
56243.714718.2853
63339.7681-6.76806
75241.287810.7122
86240.327321.6727
97739.351537.6485
107646.077429.9226
114142.7541-1.75414
124840.81987.18021
136343.2819.72
143041.3167-11.3167
157842.43835.562
161944.0616-25.0616
173142.194-11.194
186639.768126.2319
193541.4721-6.47208
204241.14230.857744
214544.75460.245373
222143.5069-22.5069
232542.1533-17.1533
244441.59312.40687
256941.547127.4529
265443.171710.8283
277440.975133.0249
288040.644439.3556
294240.82521.17485
306142.644918.3551
314141.548-0.548004
324638.61987.38023
333941.2932-2.29317
346343.591119.4089
353441.651-7.65098
365136.799714.2003
374241.51370.486284
383141.5769-10.5769
393941.2643-2.26425
402041.501-21.501
414942.1196.881
425340.554112.4459
433138.8663-7.86631
443940.2993-1.29929
455440.391413.6086
464936.703112.2969
473436.7158-2.71584
484643.18792.81213
495541.363713.6363
504242.0901-0.0900742
515043.0846.91604
521341.8445-28.8445
533742.4615-5.46153
542540.1484-15.1484
553039.0795-9.0795
562843.7436-15.7436
574542.4372.56296
583541.7901-6.79012
592840.8795-12.8795
604141.0501-0.0501224
61639.1716-33.1716
624540.934.06999
637343.322629.6774
641741.4432-24.4432
654039.61810.38192
666439.710224.2898
673740.4023-3.40226
682539.0966-14.0966
696543.095721.9043
7010042.223857.7762
712839.5186-11.5186
723538.6874-3.68741
735639.922516.0775
742939.5926-10.5926
754341.80191.1981
765942.765916.2341
775240.218911.7811
785038.629611.3704
79341.6681-38.6681
805939.664119.3359
812738.4326-11.4326
826144.241516.7585
832838.2483-10.2483
845141.00419.99594
853539.7725-4.77248
862941.0673-12.0673
874841.60686.39321
882541.0952-16.0952
894440.14493.85512
906441.92322.077
913241.3844-9.38437
922043.7735-23.7735
932841.8019-13.8019
943441.3221-7.3221
953140.9291-9.92907
962637.9185-11.9185
975843.233914.7661
982339.0589-16.0589
992140.687-19.687
1002143.4716-22.4716
1013341.9519-8.95187
1021641.819-25.819
1032039.6931-19.6931
1043742.9168-5.91684
1053541.651-6.65098
1063343.3966-10.3966
1072735.4553-8.45535
1084141.7313-0.731332
1094042.7634-2.76337
1103541.155-6.15497
1112840.0778-12.0778
1123240.7212-8.72124
1132241.4422-19.4422
1144442.37481.62523
1152743.1717-16.1717
1161741.4883-24.4883
1171240.5992-28.5992
1184534.994710.0053
1193741.7984-4.79841
1203741.8597-4.85974
12110840.182767.8173
1221040.4655-30.4655
1236840.420327.5797
1247241.940130.0599
12514343.004599.9955
126940.9001-31.9001
1275538.853616.1464
1281743.084-26.084
1293741.6176-4.61763
1302741.7269-14.7269
1313738.4444-1.44435
1325840.390517.6095
1336644.332721.6673
1342140.2234-19.2234
1351939.7843-20.7843
1367841.743136.2569
1373540.9932-5.99322
1384843.53044.46959
1392736.854-9.85404
1404343.1707-0.170727
1413039.6343-9.63428
1422542.1959-17.1959
1436942.599726.4003
1447243.235828.7642
1452337.9303-14.9303
1461341.4568-28.4568
1476144.165616.8344
1484343.3941-0.394087
1492241.3682-19.3682
1505141.979.03004
1516738.958428.0416
1523645.3104-9.31035
1532140.2523-19.2523
1544441.80282.19717
1554540.17734.82271
1563440.1944-6.19444
1573643.4906-7.49065
1587242.073929.9261
1593942.4326-3.43261
1604336.66986.33023
1612542.4361-17.4361
1625642.019513.9805
1638044.077835.9222
1644042.2709-2.27085
1657342.916830.0832
1663438.2238-4.22381
1677240.207231.7928
1684241.26330.736688
1696137.789123.2109
1702342.7208-19.7208
1717442.717331.2827
1721640.8948-24.8948
1736640.871225.1288
174942.5546-33.5546
1754142.6792-1.67915
1765742.506714.4933
1774845.77742.22256
1785140.495310.5047
1795342.131710.8683
1802942.0449-13.0449
1812941.773-12.773
1825540.975114.0249
1835440.253213.7468
1844335.82597.17413
1855140.311110.6889
1862039.2755-19.2755
1877940.750238.2498
1883938.80850.191539
1896142.300718.6993
1905541.92313.077
1913038.6531-8.65312
1925540.962414.0376
1932242.3449-20.3449
1943743.0967-6.09668
195243.5015-41.5015
1963841.8778-3.87782
1972739.3045-12.3045
1985643.801412.1986
1992540.7076-15.7076
2003942.6449-3.64486
2013336.8413-3.84132
2024340.5362.46396
2035740.629116.3709
2044340.4152.58502
2052339.9523-16.9523
2064443.06680.933185
2075440.571413.4286
2082842.5699-14.5699
2093641.8651-5.86511
2103941.0466-2.04664
2111641.2128-25.2128
2122337.1873-14.1873
2134041.2814-1.2814
2142437.8019-13.8019
2152940.2106-11.2106
2167838.870739.1293
2175740.721216.2788
2183741.3221-4.3221
2192742.6639-15.6639
2206142.04418.956
2212742.2709-15.2709
2226941.414227.5858
2233440.1601-6.16015
2244437.81366.18636
2252138.0033-17.0033
2263442.2699-8.26991
2273939.2755-0.275542
2285141.78579.21431
2293441.923-7.92295
2303142.7027-11.7027
2311341.6058-28.6058
2321240.93-28.93
2335141.24179.75826
2342440.583-16.583
2351941.9401-22.9401
2363042.4949-12.4949
2378142.766938.2331
2384241.12610.873949
2392243.1888-21.1888
2408540.153744.8463
2412743.3849-16.3849
2422540.7502-15.7502
2432242.4678-20.4678
2441941.923-22.923
2451441.7151-27.7151
2464543.14271.85726
2474538.08126.91881
2482842.7488-14.7488
2495144.52976.47034
2504140.77910.220913
2513141.5471-10.5471
2527440.640933.3591
2532441.2932-17.2932
2541940.4963-21.4963
2555141.51819.48186
2567338.836434.1636
2572437.7259-13.7259
2586142.540918.4591
2592343.4147-20.4147
2601442.1028-28.1028
2615442.329611.6704
2625140.80810.192
2636237.006924.9931
2643639.647-3.647
2655941.96917.031
2662441.8887-17.8887
2672644.2704-18.2704
2685441.877812.1222
2693938.40270.597287
2701640.0264-24.0264
2713641.0501-5.05012
2723139.2413-8.24125
2733141.5343-10.5343
2744240.34441.65558
2753941.08-2.07998
2762536.4194-11.4194
2773143.4001-12.4001
2783843.6686-5.66861
2793142.466-11.466
2801742.0269-25.0269
2812241.8156-19.8156
2825540.795314.2047
2836241.564220.4358
2845142.0448.95599
2853039.8141-9.81413
2864941.87697.12312
2871639.8891-23.8891






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.6423140.7153710.357686
80.5412180.9175650.458782
90.5718780.8562440.428122
100.5074180.9851640.492582
110.5548430.8903150.445157
120.4490960.8981910.550904
130.3555250.7110510.644475
140.3616720.7233430.638328
150.3120310.6240620.687969
160.6151910.7696190.384809
170.6304060.7391880.369594
180.6154010.7691980.384599
190.6024230.7951530.397577
200.5533420.8933170.446658
210.4893490.9786980.510651
220.5814270.8371460.418573
230.6108760.7782490.389124
240.5475780.9048430.452422
250.5620190.8759630.437981
260.5069570.9860860.493043
270.5528990.8942030.447101
280.6066390.7867220.393361
290.5554820.8890360.444518
300.5131330.9737340.486867
310.4568180.9136360.543182
320.4018080.8036150.598192
330.3568720.7137440.643128
340.3962020.7924050.603798
350.3848630.7697270.615137
360.3370680.6741350.662932
370.2970730.5941470.702927
380.2892760.5785530.710724
390.2526820.5053640.747318
400.3129740.6259490.687026
410.2697680.5395370.730232
420.2348420.4696840.765158
430.2293750.4587510.770625
440.1986440.3972890.801356
450.1728460.3456930.827154
460.1452390.2904770.854761
470.1317840.2635670.868216
480.1082980.2165950.891702
490.09240530.1848110.907595
500.07573980.151480.92426
510.06067910.1213580.939321
520.09429180.1885840.905708
530.07998910.1599780.920011
540.08700390.1740080.912996
550.08130240.1626050.918698
560.08165210.1633040.918348
570.06602080.1320420.933979
580.05592220.1118440.944078
590.04991410.09982810.950086
600.04023060.08046120.959769
610.0820730.1641460.917927
620.06753040.1350610.93247
630.09353430.1870690.906466
640.1157080.2314160.884292
650.09667250.1933450.903327
660.1050380.2100760.894962
670.09153310.1830660.908467
680.08791750.1758350.912083
690.08659460.1731890.913405
700.2859010.5718010.714099
710.2667040.5334080.733296
720.2365730.4731470.763427
730.2193220.4386440.780678
740.2083980.4167970.791602
750.1819470.3638950.818053
760.1665840.3331680.833416
770.1476550.2953090.852345
780.1354770.2709550.864523
790.2416630.4833260.758337
800.2363910.4727830.763609
810.2207670.4415340.779233
820.211680.4233590.78832
830.1972150.3944310.802785
840.1756080.3512160.824392
850.1553360.3106720.844664
860.1453490.2906980.854651
870.1266720.2533430.873328
880.1298190.2596380.870181
890.1113890.2227780.888611
900.1132320.2264640.886768
910.1019720.2039450.898028
920.119340.238680.88066
930.1149690.2299380.885031
940.101460.2029190.89854
950.09240810.1848160.907592
960.08507380.1701480.914926
970.07769630.1553930.922304
980.07549380.1509880.924506
990.07942260.1588450.920577
1000.09159710.1831940.908403
1010.08215370.1643070.917846
1020.0965840.1931680.903416
1030.09932730.1986550.900673
1040.08665960.1733190.91334
1050.07586890.1517380.924131
1060.06851170.1370230.931488
1070.05935830.1187170.940642
1080.04959120.09918230.950409
1090.04127250.08254490.958728
1100.03480410.06960830.965196
1110.03094950.0618990.96905
1120.0262860.05257210.973714
1130.02733420.05466830.972666
1140.0222640.04452810.977736
1150.02134610.04269230.978654
1160.02498120.04996230.975019
1170.03246060.06492110.967539
1180.02799190.05598380.972008
1190.02318970.04637950.97681
1200.0191730.03834590.980827
1210.1485860.2971720.851414
1220.1822430.3644860.817757
1230.2065750.413150.793425
1240.2425560.4851120.757444
1250.9335010.1329970.0664987
1260.9507830.09843460.0492173
1270.9482010.1035990.0517993
1280.9554990.08900110.0445006
1290.9474830.1050340.0525172
1300.9436740.1126530.0563264
1310.933420.1331590.0665797
1320.9315750.1368490.0684246
1330.9343920.1312150.0656077
1340.93430.13140.0656999
1350.9357630.1284730.0642366
1360.959120.08176020.0408801
1370.9520760.09584790.047924
1380.9436660.1126670.0563337
1390.9363420.1273170.0636583
1400.9251980.1496040.0748018
1410.9157110.1685780.0842888
1420.9135690.1728630.0864314
1430.9253170.1493660.0746829
1440.9393020.1213970.0606984
1450.9354660.1290690.0645343
1460.9482960.1034080.0517042
1470.9473640.1052720.0526362
1480.937680.1246390.0623195
1490.9378930.1242150.0621074
1500.9295180.1409630.0704816
1510.941440.1171190.0585597
1520.9334270.1331460.0665729
1530.9334720.1330550.0665276
1540.9219670.1560650.0780326
1550.909650.18070.0903498
1560.8965020.2069970.103498
1570.8827730.2344540.117227
1580.9070410.1859170.0929586
1590.892440.2151210.10756
1600.8773320.2453370.122668
1610.8732180.2535630.126782
1620.8662930.2674140.133707
1630.9149760.1700480.0850242
1640.9010480.1979030.0989516
1650.9266380.1467250.0733624
1660.9148430.1703140.0851569
1670.9371010.1257990.0628995
1680.9259960.1480080.0740038
1690.9320140.1359720.0679861
1700.9313120.1373760.0686878
1710.9512760.09744710.0487235
1720.9572390.08552220.0427611
1730.9646660.07066790.0353339
1740.9761790.04764150.0238207
1750.9711070.05778530.0288927
1760.9697370.06052640.0302632
1770.9651120.0697770.0348885
1780.960850.07829930.0391497
1790.9567030.08659430.0432971
1800.9513080.09738430.0486921
1810.9452320.1095360.0547678
1820.9421840.1156320.0578159
1830.9379860.1240270.0620135
1840.9272050.1455910.0727953
1850.919020.161960.0809802
1860.919150.1617010.0808503
1870.9577050.08459070.0422954
1880.9488270.1023460.0511731
1890.953050.09389960.0469498
1900.9508760.09824760.0491238
1910.9436730.1126540.0563272
1920.9421080.1157830.0578916
1930.9407380.1185240.0592619
1940.9297330.1405350.0702674
1950.9623260.07534770.0376739
1960.95420.09160050.0458003
1970.9485510.1028970.0514487
1980.9460080.1079830.0539917
1990.9407340.1185320.059266
2000.9289840.1420330.0710163
2010.9160550.1678910.0839455
2020.9009470.1981060.0990529
2030.9005660.1988680.0994341
2040.8834020.2331960.116598
2050.8779270.2441450.122073
2060.8596350.280730.140365
2070.8487480.3025040.151252
2080.8334390.3331210.166561
2090.8090730.3818540.190927
2100.7815340.4369330.218466
2110.7969990.4060010.203001
2120.7892750.421450.210725
2130.7605080.4789840.239492
2140.7522050.495590.247795
2150.7309340.5381310.269066
2160.8256740.3486530.174326
2170.8270140.3459720.172986
2180.8002210.3995580.199779
2190.7807590.4384810.219241
2200.7952460.4095080.204754
2210.776040.447920.22396
2220.8310670.3378650.168933
2230.8054440.3891120.194556
2240.7774110.4451790.222589
2250.7684580.4630840.231542
2260.7368840.5262310.263116
2270.7007280.5985430.299272
2280.6816820.6366350.318318
2290.6444470.7111050.355553
2300.609840.780320.39016
2310.6422380.7155250.357762
2320.6830390.6339220.316961
2330.6593830.6812340.340617
2340.6454790.7090420.354521
2350.6484130.7031740.351587
2360.6137650.7724690.386235
2370.7863410.4273180.213659
2380.7517910.4964170.248209
2390.7389950.5220110.261005
2400.9218750.156250.0781249
2410.9077120.1845760.092288
2420.8951920.2096160.104808
2430.8855060.2289890.114494
2440.8890180.2219640.110982
2450.903960.1920810.0960403
2460.8831880.2336240.116812
2470.8562370.2875260.143763
2480.8376750.3246490.162325
2490.8261990.3476020.173801
2500.7898380.4203230.210162
2510.7550910.4898180.244909
2520.8452550.3094910.154745
2530.8277250.344550.172275
2540.8359870.3280260.164013
2550.8172050.365590.182795
2560.9115820.1768350.0884177
2570.8987920.2024170.101208
2580.9259180.1481640.0740818
2590.9226660.1546670.0773335
2600.9460730.1078540.0539268
2610.9309490.1381020.0690508
2620.9205780.1588440.0794222
2630.9825560.03488890.0174445
2640.9774220.04515570.0225779
2650.9825460.03490770.0174539
2660.9728390.05432270.0271613
2670.9758870.04822650.0241132
2680.9707440.05851270.0292563
2690.9566830.08663420.0433171
2700.9496270.1007460.0503728
2710.9206440.1587110.0793557
2720.9015780.1968440.0984218
2730.8787530.2424940.121247
2740.8222280.3555430.177772
2750.7439190.5121620.256081
2760.8841470.2317050.115853
2770.8839550.232090.116045
2780.8041320.3917360.195868
2790.8684860.2630290.131514
2800.9354340.1291310.0645657

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
7 & 0.642314 & 0.715371 & 0.357686 \tabularnewline
8 & 0.541218 & 0.917565 & 0.458782 \tabularnewline
9 & 0.571878 & 0.856244 & 0.428122 \tabularnewline
10 & 0.507418 & 0.985164 & 0.492582 \tabularnewline
11 & 0.554843 & 0.890315 & 0.445157 \tabularnewline
12 & 0.449096 & 0.898191 & 0.550904 \tabularnewline
13 & 0.355525 & 0.711051 & 0.644475 \tabularnewline
14 & 0.361672 & 0.723343 & 0.638328 \tabularnewline
15 & 0.312031 & 0.624062 & 0.687969 \tabularnewline
16 & 0.615191 & 0.769619 & 0.384809 \tabularnewline
17 & 0.630406 & 0.739188 & 0.369594 \tabularnewline
18 & 0.615401 & 0.769198 & 0.384599 \tabularnewline
19 & 0.602423 & 0.795153 & 0.397577 \tabularnewline
20 & 0.553342 & 0.893317 & 0.446658 \tabularnewline
21 & 0.489349 & 0.978698 & 0.510651 \tabularnewline
22 & 0.581427 & 0.837146 & 0.418573 \tabularnewline
23 & 0.610876 & 0.778249 & 0.389124 \tabularnewline
24 & 0.547578 & 0.904843 & 0.452422 \tabularnewline
25 & 0.562019 & 0.875963 & 0.437981 \tabularnewline
26 & 0.506957 & 0.986086 & 0.493043 \tabularnewline
27 & 0.552899 & 0.894203 & 0.447101 \tabularnewline
28 & 0.606639 & 0.786722 & 0.393361 \tabularnewline
29 & 0.555482 & 0.889036 & 0.444518 \tabularnewline
30 & 0.513133 & 0.973734 & 0.486867 \tabularnewline
31 & 0.456818 & 0.913636 & 0.543182 \tabularnewline
32 & 0.401808 & 0.803615 & 0.598192 \tabularnewline
33 & 0.356872 & 0.713744 & 0.643128 \tabularnewline
34 & 0.396202 & 0.792405 & 0.603798 \tabularnewline
35 & 0.384863 & 0.769727 & 0.615137 \tabularnewline
36 & 0.337068 & 0.674135 & 0.662932 \tabularnewline
37 & 0.297073 & 0.594147 & 0.702927 \tabularnewline
38 & 0.289276 & 0.578553 & 0.710724 \tabularnewline
39 & 0.252682 & 0.505364 & 0.747318 \tabularnewline
40 & 0.312974 & 0.625949 & 0.687026 \tabularnewline
41 & 0.269768 & 0.539537 & 0.730232 \tabularnewline
42 & 0.234842 & 0.469684 & 0.765158 \tabularnewline
43 & 0.229375 & 0.458751 & 0.770625 \tabularnewline
44 & 0.198644 & 0.397289 & 0.801356 \tabularnewline
45 & 0.172846 & 0.345693 & 0.827154 \tabularnewline
46 & 0.145239 & 0.290477 & 0.854761 \tabularnewline
47 & 0.131784 & 0.263567 & 0.868216 \tabularnewline
48 & 0.108298 & 0.216595 & 0.891702 \tabularnewline
49 & 0.0924053 & 0.184811 & 0.907595 \tabularnewline
50 & 0.0757398 & 0.15148 & 0.92426 \tabularnewline
51 & 0.0606791 & 0.121358 & 0.939321 \tabularnewline
52 & 0.0942918 & 0.188584 & 0.905708 \tabularnewline
53 & 0.0799891 & 0.159978 & 0.920011 \tabularnewline
54 & 0.0870039 & 0.174008 & 0.912996 \tabularnewline
55 & 0.0813024 & 0.162605 & 0.918698 \tabularnewline
56 & 0.0816521 & 0.163304 & 0.918348 \tabularnewline
57 & 0.0660208 & 0.132042 & 0.933979 \tabularnewline
58 & 0.0559222 & 0.111844 & 0.944078 \tabularnewline
59 & 0.0499141 & 0.0998281 & 0.950086 \tabularnewline
60 & 0.0402306 & 0.0804612 & 0.959769 \tabularnewline
61 & 0.082073 & 0.164146 & 0.917927 \tabularnewline
62 & 0.0675304 & 0.135061 & 0.93247 \tabularnewline
63 & 0.0935343 & 0.187069 & 0.906466 \tabularnewline
64 & 0.115708 & 0.231416 & 0.884292 \tabularnewline
65 & 0.0966725 & 0.193345 & 0.903327 \tabularnewline
66 & 0.105038 & 0.210076 & 0.894962 \tabularnewline
67 & 0.0915331 & 0.183066 & 0.908467 \tabularnewline
68 & 0.0879175 & 0.175835 & 0.912083 \tabularnewline
69 & 0.0865946 & 0.173189 & 0.913405 \tabularnewline
70 & 0.285901 & 0.571801 & 0.714099 \tabularnewline
71 & 0.266704 & 0.533408 & 0.733296 \tabularnewline
72 & 0.236573 & 0.473147 & 0.763427 \tabularnewline
73 & 0.219322 & 0.438644 & 0.780678 \tabularnewline
74 & 0.208398 & 0.416797 & 0.791602 \tabularnewline
75 & 0.181947 & 0.363895 & 0.818053 \tabularnewline
76 & 0.166584 & 0.333168 & 0.833416 \tabularnewline
77 & 0.147655 & 0.295309 & 0.852345 \tabularnewline
78 & 0.135477 & 0.270955 & 0.864523 \tabularnewline
79 & 0.241663 & 0.483326 & 0.758337 \tabularnewline
80 & 0.236391 & 0.472783 & 0.763609 \tabularnewline
81 & 0.220767 & 0.441534 & 0.779233 \tabularnewline
82 & 0.21168 & 0.423359 & 0.78832 \tabularnewline
83 & 0.197215 & 0.394431 & 0.802785 \tabularnewline
84 & 0.175608 & 0.351216 & 0.824392 \tabularnewline
85 & 0.155336 & 0.310672 & 0.844664 \tabularnewline
86 & 0.145349 & 0.290698 & 0.854651 \tabularnewline
87 & 0.126672 & 0.253343 & 0.873328 \tabularnewline
88 & 0.129819 & 0.259638 & 0.870181 \tabularnewline
89 & 0.111389 & 0.222778 & 0.888611 \tabularnewline
90 & 0.113232 & 0.226464 & 0.886768 \tabularnewline
91 & 0.101972 & 0.203945 & 0.898028 \tabularnewline
92 & 0.11934 & 0.23868 & 0.88066 \tabularnewline
93 & 0.114969 & 0.229938 & 0.885031 \tabularnewline
94 & 0.10146 & 0.202919 & 0.89854 \tabularnewline
95 & 0.0924081 & 0.184816 & 0.907592 \tabularnewline
96 & 0.0850738 & 0.170148 & 0.914926 \tabularnewline
97 & 0.0776963 & 0.155393 & 0.922304 \tabularnewline
98 & 0.0754938 & 0.150988 & 0.924506 \tabularnewline
99 & 0.0794226 & 0.158845 & 0.920577 \tabularnewline
100 & 0.0915971 & 0.183194 & 0.908403 \tabularnewline
101 & 0.0821537 & 0.164307 & 0.917846 \tabularnewline
102 & 0.096584 & 0.193168 & 0.903416 \tabularnewline
103 & 0.0993273 & 0.198655 & 0.900673 \tabularnewline
104 & 0.0866596 & 0.173319 & 0.91334 \tabularnewline
105 & 0.0758689 & 0.151738 & 0.924131 \tabularnewline
106 & 0.0685117 & 0.137023 & 0.931488 \tabularnewline
107 & 0.0593583 & 0.118717 & 0.940642 \tabularnewline
108 & 0.0495912 & 0.0991823 & 0.950409 \tabularnewline
109 & 0.0412725 & 0.0825449 & 0.958728 \tabularnewline
110 & 0.0348041 & 0.0696083 & 0.965196 \tabularnewline
111 & 0.0309495 & 0.061899 & 0.96905 \tabularnewline
112 & 0.026286 & 0.0525721 & 0.973714 \tabularnewline
113 & 0.0273342 & 0.0546683 & 0.972666 \tabularnewline
114 & 0.022264 & 0.0445281 & 0.977736 \tabularnewline
115 & 0.0213461 & 0.0426923 & 0.978654 \tabularnewline
116 & 0.0249812 & 0.0499623 & 0.975019 \tabularnewline
117 & 0.0324606 & 0.0649211 & 0.967539 \tabularnewline
118 & 0.0279919 & 0.0559838 & 0.972008 \tabularnewline
119 & 0.0231897 & 0.0463795 & 0.97681 \tabularnewline
120 & 0.019173 & 0.0383459 & 0.980827 \tabularnewline
121 & 0.148586 & 0.297172 & 0.851414 \tabularnewline
122 & 0.182243 & 0.364486 & 0.817757 \tabularnewline
123 & 0.206575 & 0.41315 & 0.793425 \tabularnewline
124 & 0.242556 & 0.485112 & 0.757444 \tabularnewline
125 & 0.933501 & 0.132997 & 0.0664987 \tabularnewline
126 & 0.950783 & 0.0984346 & 0.0492173 \tabularnewline
127 & 0.948201 & 0.103599 & 0.0517993 \tabularnewline
128 & 0.955499 & 0.0890011 & 0.0445006 \tabularnewline
129 & 0.947483 & 0.105034 & 0.0525172 \tabularnewline
130 & 0.943674 & 0.112653 & 0.0563264 \tabularnewline
131 & 0.93342 & 0.133159 & 0.0665797 \tabularnewline
132 & 0.931575 & 0.136849 & 0.0684246 \tabularnewline
133 & 0.934392 & 0.131215 & 0.0656077 \tabularnewline
134 & 0.9343 & 0.1314 & 0.0656999 \tabularnewline
135 & 0.935763 & 0.128473 & 0.0642366 \tabularnewline
136 & 0.95912 & 0.0817602 & 0.0408801 \tabularnewline
137 & 0.952076 & 0.0958479 & 0.047924 \tabularnewline
138 & 0.943666 & 0.112667 & 0.0563337 \tabularnewline
139 & 0.936342 & 0.127317 & 0.0636583 \tabularnewline
140 & 0.925198 & 0.149604 & 0.0748018 \tabularnewline
141 & 0.915711 & 0.168578 & 0.0842888 \tabularnewline
142 & 0.913569 & 0.172863 & 0.0864314 \tabularnewline
143 & 0.925317 & 0.149366 & 0.0746829 \tabularnewline
144 & 0.939302 & 0.121397 & 0.0606984 \tabularnewline
145 & 0.935466 & 0.129069 & 0.0645343 \tabularnewline
146 & 0.948296 & 0.103408 & 0.0517042 \tabularnewline
147 & 0.947364 & 0.105272 & 0.0526362 \tabularnewline
148 & 0.93768 & 0.124639 & 0.0623195 \tabularnewline
149 & 0.937893 & 0.124215 & 0.0621074 \tabularnewline
150 & 0.929518 & 0.140963 & 0.0704816 \tabularnewline
151 & 0.94144 & 0.117119 & 0.0585597 \tabularnewline
152 & 0.933427 & 0.133146 & 0.0665729 \tabularnewline
153 & 0.933472 & 0.133055 & 0.0665276 \tabularnewline
154 & 0.921967 & 0.156065 & 0.0780326 \tabularnewline
155 & 0.90965 & 0.1807 & 0.0903498 \tabularnewline
156 & 0.896502 & 0.206997 & 0.103498 \tabularnewline
157 & 0.882773 & 0.234454 & 0.117227 \tabularnewline
158 & 0.907041 & 0.185917 & 0.0929586 \tabularnewline
159 & 0.89244 & 0.215121 & 0.10756 \tabularnewline
160 & 0.877332 & 0.245337 & 0.122668 \tabularnewline
161 & 0.873218 & 0.253563 & 0.126782 \tabularnewline
162 & 0.866293 & 0.267414 & 0.133707 \tabularnewline
163 & 0.914976 & 0.170048 & 0.0850242 \tabularnewline
164 & 0.901048 & 0.197903 & 0.0989516 \tabularnewline
165 & 0.926638 & 0.146725 & 0.0733624 \tabularnewline
166 & 0.914843 & 0.170314 & 0.0851569 \tabularnewline
167 & 0.937101 & 0.125799 & 0.0628995 \tabularnewline
168 & 0.925996 & 0.148008 & 0.0740038 \tabularnewline
169 & 0.932014 & 0.135972 & 0.0679861 \tabularnewline
170 & 0.931312 & 0.137376 & 0.0686878 \tabularnewline
171 & 0.951276 & 0.0974471 & 0.0487235 \tabularnewline
172 & 0.957239 & 0.0855222 & 0.0427611 \tabularnewline
173 & 0.964666 & 0.0706679 & 0.0353339 \tabularnewline
174 & 0.976179 & 0.0476415 & 0.0238207 \tabularnewline
175 & 0.971107 & 0.0577853 & 0.0288927 \tabularnewline
176 & 0.969737 & 0.0605264 & 0.0302632 \tabularnewline
177 & 0.965112 & 0.069777 & 0.0348885 \tabularnewline
178 & 0.96085 & 0.0782993 & 0.0391497 \tabularnewline
179 & 0.956703 & 0.0865943 & 0.0432971 \tabularnewline
180 & 0.951308 & 0.0973843 & 0.0486921 \tabularnewline
181 & 0.945232 & 0.109536 & 0.0547678 \tabularnewline
182 & 0.942184 & 0.115632 & 0.0578159 \tabularnewline
183 & 0.937986 & 0.124027 & 0.0620135 \tabularnewline
184 & 0.927205 & 0.145591 & 0.0727953 \tabularnewline
185 & 0.91902 & 0.16196 & 0.0809802 \tabularnewline
186 & 0.91915 & 0.161701 & 0.0808503 \tabularnewline
187 & 0.957705 & 0.0845907 & 0.0422954 \tabularnewline
188 & 0.948827 & 0.102346 & 0.0511731 \tabularnewline
189 & 0.95305 & 0.0938996 & 0.0469498 \tabularnewline
190 & 0.950876 & 0.0982476 & 0.0491238 \tabularnewline
191 & 0.943673 & 0.112654 & 0.0563272 \tabularnewline
192 & 0.942108 & 0.115783 & 0.0578916 \tabularnewline
193 & 0.940738 & 0.118524 & 0.0592619 \tabularnewline
194 & 0.929733 & 0.140535 & 0.0702674 \tabularnewline
195 & 0.962326 & 0.0753477 & 0.0376739 \tabularnewline
196 & 0.9542 & 0.0916005 & 0.0458003 \tabularnewline
197 & 0.948551 & 0.102897 & 0.0514487 \tabularnewline
198 & 0.946008 & 0.107983 & 0.0539917 \tabularnewline
199 & 0.940734 & 0.118532 & 0.059266 \tabularnewline
200 & 0.928984 & 0.142033 & 0.0710163 \tabularnewline
201 & 0.916055 & 0.167891 & 0.0839455 \tabularnewline
202 & 0.900947 & 0.198106 & 0.0990529 \tabularnewline
203 & 0.900566 & 0.198868 & 0.0994341 \tabularnewline
204 & 0.883402 & 0.233196 & 0.116598 \tabularnewline
205 & 0.877927 & 0.244145 & 0.122073 \tabularnewline
206 & 0.859635 & 0.28073 & 0.140365 \tabularnewline
207 & 0.848748 & 0.302504 & 0.151252 \tabularnewline
208 & 0.833439 & 0.333121 & 0.166561 \tabularnewline
209 & 0.809073 & 0.381854 & 0.190927 \tabularnewline
210 & 0.781534 & 0.436933 & 0.218466 \tabularnewline
211 & 0.796999 & 0.406001 & 0.203001 \tabularnewline
212 & 0.789275 & 0.42145 & 0.210725 \tabularnewline
213 & 0.760508 & 0.478984 & 0.239492 \tabularnewline
214 & 0.752205 & 0.49559 & 0.247795 \tabularnewline
215 & 0.730934 & 0.538131 & 0.269066 \tabularnewline
216 & 0.825674 & 0.348653 & 0.174326 \tabularnewline
217 & 0.827014 & 0.345972 & 0.172986 \tabularnewline
218 & 0.800221 & 0.399558 & 0.199779 \tabularnewline
219 & 0.780759 & 0.438481 & 0.219241 \tabularnewline
220 & 0.795246 & 0.409508 & 0.204754 \tabularnewline
221 & 0.77604 & 0.44792 & 0.22396 \tabularnewline
222 & 0.831067 & 0.337865 & 0.168933 \tabularnewline
223 & 0.805444 & 0.389112 & 0.194556 \tabularnewline
224 & 0.777411 & 0.445179 & 0.222589 \tabularnewline
225 & 0.768458 & 0.463084 & 0.231542 \tabularnewline
226 & 0.736884 & 0.526231 & 0.263116 \tabularnewline
227 & 0.700728 & 0.598543 & 0.299272 \tabularnewline
228 & 0.681682 & 0.636635 & 0.318318 \tabularnewline
229 & 0.644447 & 0.711105 & 0.355553 \tabularnewline
230 & 0.60984 & 0.78032 & 0.39016 \tabularnewline
231 & 0.642238 & 0.715525 & 0.357762 \tabularnewline
232 & 0.683039 & 0.633922 & 0.316961 \tabularnewline
233 & 0.659383 & 0.681234 & 0.340617 \tabularnewline
234 & 0.645479 & 0.709042 & 0.354521 \tabularnewline
235 & 0.648413 & 0.703174 & 0.351587 \tabularnewline
236 & 0.613765 & 0.772469 & 0.386235 \tabularnewline
237 & 0.786341 & 0.427318 & 0.213659 \tabularnewline
238 & 0.751791 & 0.496417 & 0.248209 \tabularnewline
239 & 0.738995 & 0.522011 & 0.261005 \tabularnewline
240 & 0.921875 & 0.15625 & 0.0781249 \tabularnewline
241 & 0.907712 & 0.184576 & 0.092288 \tabularnewline
242 & 0.895192 & 0.209616 & 0.104808 \tabularnewline
243 & 0.885506 & 0.228989 & 0.114494 \tabularnewline
244 & 0.889018 & 0.221964 & 0.110982 \tabularnewline
245 & 0.90396 & 0.192081 & 0.0960403 \tabularnewline
246 & 0.883188 & 0.233624 & 0.116812 \tabularnewline
247 & 0.856237 & 0.287526 & 0.143763 \tabularnewline
248 & 0.837675 & 0.324649 & 0.162325 \tabularnewline
249 & 0.826199 & 0.347602 & 0.173801 \tabularnewline
250 & 0.789838 & 0.420323 & 0.210162 \tabularnewline
251 & 0.755091 & 0.489818 & 0.244909 \tabularnewline
252 & 0.845255 & 0.309491 & 0.154745 \tabularnewline
253 & 0.827725 & 0.34455 & 0.172275 \tabularnewline
254 & 0.835987 & 0.328026 & 0.164013 \tabularnewline
255 & 0.817205 & 0.36559 & 0.182795 \tabularnewline
256 & 0.911582 & 0.176835 & 0.0884177 \tabularnewline
257 & 0.898792 & 0.202417 & 0.101208 \tabularnewline
258 & 0.925918 & 0.148164 & 0.0740818 \tabularnewline
259 & 0.922666 & 0.154667 & 0.0773335 \tabularnewline
260 & 0.946073 & 0.107854 & 0.0539268 \tabularnewline
261 & 0.930949 & 0.138102 & 0.0690508 \tabularnewline
262 & 0.920578 & 0.158844 & 0.0794222 \tabularnewline
263 & 0.982556 & 0.0348889 & 0.0174445 \tabularnewline
264 & 0.977422 & 0.0451557 & 0.0225779 \tabularnewline
265 & 0.982546 & 0.0349077 & 0.0174539 \tabularnewline
266 & 0.972839 & 0.0543227 & 0.0271613 \tabularnewline
267 & 0.975887 & 0.0482265 & 0.0241132 \tabularnewline
268 & 0.970744 & 0.0585127 & 0.0292563 \tabularnewline
269 & 0.956683 & 0.0866342 & 0.0433171 \tabularnewline
270 & 0.949627 & 0.100746 & 0.0503728 \tabularnewline
271 & 0.920644 & 0.158711 & 0.0793557 \tabularnewline
272 & 0.901578 & 0.196844 & 0.0984218 \tabularnewline
273 & 0.878753 & 0.242494 & 0.121247 \tabularnewline
274 & 0.822228 & 0.355543 & 0.177772 \tabularnewline
275 & 0.743919 & 0.512162 & 0.256081 \tabularnewline
276 & 0.884147 & 0.231705 & 0.115853 \tabularnewline
277 & 0.883955 & 0.23209 & 0.116045 \tabularnewline
278 & 0.804132 & 0.391736 & 0.195868 \tabularnewline
279 & 0.868486 & 0.263029 & 0.131514 \tabularnewline
280 & 0.935434 & 0.129131 & 0.0645657 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266316&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]7[/C][C]0.642314[/C][C]0.715371[/C][C]0.357686[/C][/ROW]
[ROW][C]8[/C][C]0.541218[/C][C]0.917565[/C][C]0.458782[/C][/ROW]
[ROW][C]9[/C][C]0.571878[/C][C]0.856244[/C][C]0.428122[/C][/ROW]
[ROW][C]10[/C][C]0.507418[/C][C]0.985164[/C][C]0.492582[/C][/ROW]
[ROW][C]11[/C][C]0.554843[/C][C]0.890315[/C][C]0.445157[/C][/ROW]
[ROW][C]12[/C][C]0.449096[/C][C]0.898191[/C][C]0.550904[/C][/ROW]
[ROW][C]13[/C][C]0.355525[/C][C]0.711051[/C][C]0.644475[/C][/ROW]
[ROW][C]14[/C][C]0.361672[/C][C]0.723343[/C][C]0.638328[/C][/ROW]
[ROW][C]15[/C][C]0.312031[/C][C]0.624062[/C][C]0.687969[/C][/ROW]
[ROW][C]16[/C][C]0.615191[/C][C]0.769619[/C][C]0.384809[/C][/ROW]
[ROW][C]17[/C][C]0.630406[/C][C]0.739188[/C][C]0.369594[/C][/ROW]
[ROW][C]18[/C][C]0.615401[/C][C]0.769198[/C][C]0.384599[/C][/ROW]
[ROW][C]19[/C][C]0.602423[/C][C]0.795153[/C][C]0.397577[/C][/ROW]
[ROW][C]20[/C][C]0.553342[/C][C]0.893317[/C][C]0.446658[/C][/ROW]
[ROW][C]21[/C][C]0.489349[/C][C]0.978698[/C][C]0.510651[/C][/ROW]
[ROW][C]22[/C][C]0.581427[/C][C]0.837146[/C][C]0.418573[/C][/ROW]
[ROW][C]23[/C][C]0.610876[/C][C]0.778249[/C][C]0.389124[/C][/ROW]
[ROW][C]24[/C][C]0.547578[/C][C]0.904843[/C][C]0.452422[/C][/ROW]
[ROW][C]25[/C][C]0.562019[/C][C]0.875963[/C][C]0.437981[/C][/ROW]
[ROW][C]26[/C][C]0.506957[/C][C]0.986086[/C][C]0.493043[/C][/ROW]
[ROW][C]27[/C][C]0.552899[/C][C]0.894203[/C][C]0.447101[/C][/ROW]
[ROW][C]28[/C][C]0.606639[/C][C]0.786722[/C][C]0.393361[/C][/ROW]
[ROW][C]29[/C][C]0.555482[/C][C]0.889036[/C][C]0.444518[/C][/ROW]
[ROW][C]30[/C][C]0.513133[/C][C]0.973734[/C][C]0.486867[/C][/ROW]
[ROW][C]31[/C][C]0.456818[/C][C]0.913636[/C][C]0.543182[/C][/ROW]
[ROW][C]32[/C][C]0.401808[/C][C]0.803615[/C][C]0.598192[/C][/ROW]
[ROW][C]33[/C][C]0.356872[/C][C]0.713744[/C][C]0.643128[/C][/ROW]
[ROW][C]34[/C][C]0.396202[/C][C]0.792405[/C][C]0.603798[/C][/ROW]
[ROW][C]35[/C][C]0.384863[/C][C]0.769727[/C][C]0.615137[/C][/ROW]
[ROW][C]36[/C][C]0.337068[/C][C]0.674135[/C][C]0.662932[/C][/ROW]
[ROW][C]37[/C][C]0.297073[/C][C]0.594147[/C][C]0.702927[/C][/ROW]
[ROW][C]38[/C][C]0.289276[/C][C]0.578553[/C][C]0.710724[/C][/ROW]
[ROW][C]39[/C][C]0.252682[/C][C]0.505364[/C][C]0.747318[/C][/ROW]
[ROW][C]40[/C][C]0.312974[/C][C]0.625949[/C][C]0.687026[/C][/ROW]
[ROW][C]41[/C][C]0.269768[/C][C]0.539537[/C][C]0.730232[/C][/ROW]
[ROW][C]42[/C][C]0.234842[/C][C]0.469684[/C][C]0.765158[/C][/ROW]
[ROW][C]43[/C][C]0.229375[/C][C]0.458751[/C][C]0.770625[/C][/ROW]
[ROW][C]44[/C][C]0.198644[/C][C]0.397289[/C][C]0.801356[/C][/ROW]
[ROW][C]45[/C][C]0.172846[/C][C]0.345693[/C][C]0.827154[/C][/ROW]
[ROW][C]46[/C][C]0.145239[/C][C]0.290477[/C][C]0.854761[/C][/ROW]
[ROW][C]47[/C][C]0.131784[/C][C]0.263567[/C][C]0.868216[/C][/ROW]
[ROW][C]48[/C][C]0.108298[/C][C]0.216595[/C][C]0.891702[/C][/ROW]
[ROW][C]49[/C][C]0.0924053[/C][C]0.184811[/C][C]0.907595[/C][/ROW]
[ROW][C]50[/C][C]0.0757398[/C][C]0.15148[/C][C]0.92426[/C][/ROW]
[ROW][C]51[/C][C]0.0606791[/C][C]0.121358[/C][C]0.939321[/C][/ROW]
[ROW][C]52[/C][C]0.0942918[/C][C]0.188584[/C][C]0.905708[/C][/ROW]
[ROW][C]53[/C][C]0.0799891[/C][C]0.159978[/C][C]0.920011[/C][/ROW]
[ROW][C]54[/C][C]0.0870039[/C][C]0.174008[/C][C]0.912996[/C][/ROW]
[ROW][C]55[/C][C]0.0813024[/C][C]0.162605[/C][C]0.918698[/C][/ROW]
[ROW][C]56[/C][C]0.0816521[/C][C]0.163304[/C][C]0.918348[/C][/ROW]
[ROW][C]57[/C][C]0.0660208[/C][C]0.132042[/C][C]0.933979[/C][/ROW]
[ROW][C]58[/C][C]0.0559222[/C][C]0.111844[/C][C]0.944078[/C][/ROW]
[ROW][C]59[/C][C]0.0499141[/C][C]0.0998281[/C][C]0.950086[/C][/ROW]
[ROW][C]60[/C][C]0.0402306[/C][C]0.0804612[/C][C]0.959769[/C][/ROW]
[ROW][C]61[/C][C]0.082073[/C][C]0.164146[/C][C]0.917927[/C][/ROW]
[ROW][C]62[/C][C]0.0675304[/C][C]0.135061[/C][C]0.93247[/C][/ROW]
[ROW][C]63[/C][C]0.0935343[/C][C]0.187069[/C][C]0.906466[/C][/ROW]
[ROW][C]64[/C][C]0.115708[/C][C]0.231416[/C][C]0.884292[/C][/ROW]
[ROW][C]65[/C][C]0.0966725[/C][C]0.193345[/C][C]0.903327[/C][/ROW]
[ROW][C]66[/C][C]0.105038[/C][C]0.210076[/C][C]0.894962[/C][/ROW]
[ROW][C]67[/C][C]0.0915331[/C][C]0.183066[/C][C]0.908467[/C][/ROW]
[ROW][C]68[/C][C]0.0879175[/C][C]0.175835[/C][C]0.912083[/C][/ROW]
[ROW][C]69[/C][C]0.0865946[/C][C]0.173189[/C][C]0.913405[/C][/ROW]
[ROW][C]70[/C][C]0.285901[/C][C]0.571801[/C][C]0.714099[/C][/ROW]
[ROW][C]71[/C][C]0.266704[/C][C]0.533408[/C][C]0.733296[/C][/ROW]
[ROW][C]72[/C][C]0.236573[/C][C]0.473147[/C][C]0.763427[/C][/ROW]
[ROW][C]73[/C][C]0.219322[/C][C]0.438644[/C][C]0.780678[/C][/ROW]
[ROW][C]74[/C][C]0.208398[/C][C]0.416797[/C][C]0.791602[/C][/ROW]
[ROW][C]75[/C][C]0.181947[/C][C]0.363895[/C][C]0.818053[/C][/ROW]
[ROW][C]76[/C][C]0.166584[/C][C]0.333168[/C][C]0.833416[/C][/ROW]
[ROW][C]77[/C][C]0.147655[/C][C]0.295309[/C][C]0.852345[/C][/ROW]
[ROW][C]78[/C][C]0.135477[/C][C]0.270955[/C][C]0.864523[/C][/ROW]
[ROW][C]79[/C][C]0.241663[/C][C]0.483326[/C][C]0.758337[/C][/ROW]
[ROW][C]80[/C][C]0.236391[/C][C]0.472783[/C][C]0.763609[/C][/ROW]
[ROW][C]81[/C][C]0.220767[/C][C]0.441534[/C][C]0.779233[/C][/ROW]
[ROW][C]82[/C][C]0.21168[/C][C]0.423359[/C][C]0.78832[/C][/ROW]
[ROW][C]83[/C][C]0.197215[/C][C]0.394431[/C][C]0.802785[/C][/ROW]
[ROW][C]84[/C][C]0.175608[/C][C]0.351216[/C][C]0.824392[/C][/ROW]
[ROW][C]85[/C][C]0.155336[/C][C]0.310672[/C][C]0.844664[/C][/ROW]
[ROW][C]86[/C][C]0.145349[/C][C]0.290698[/C][C]0.854651[/C][/ROW]
[ROW][C]87[/C][C]0.126672[/C][C]0.253343[/C][C]0.873328[/C][/ROW]
[ROW][C]88[/C][C]0.129819[/C][C]0.259638[/C][C]0.870181[/C][/ROW]
[ROW][C]89[/C][C]0.111389[/C][C]0.222778[/C][C]0.888611[/C][/ROW]
[ROW][C]90[/C][C]0.113232[/C][C]0.226464[/C][C]0.886768[/C][/ROW]
[ROW][C]91[/C][C]0.101972[/C][C]0.203945[/C][C]0.898028[/C][/ROW]
[ROW][C]92[/C][C]0.11934[/C][C]0.23868[/C][C]0.88066[/C][/ROW]
[ROW][C]93[/C][C]0.114969[/C][C]0.229938[/C][C]0.885031[/C][/ROW]
[ROW][C]94[/C][C]0.10146[/C][C]0.202919[/C][C]0.89854[/C][/ROW]
[ROW][C]95[/C][C]0.0924081[/C][C]0.184816[/C][C]0.907592[/C][/ROW]
[ROW][C]96[/C][C]0.0850738[/C][C]0.170148[/C][C]0.914926[/C][/ROW]
[ROW][C]97[/C][C]0.0776963[/C][C]0.155393[/C][C]0.922304[/C][/ROW]
[ROW][C]98[/C][C]0.0754938[/C][C]0.150988[/C][C]0.924506[/C][/ROW]
[ROW][C]99[/C][C]0.0794226[/C][C]0.158845[/C][C]0.920577[/C][/ROW]
[ROW][C]100[/C][C]0.0915971[/C][C]0.183194[/C][C]0.908403[/C][/ROW]
[ROW][C]101[/C][C]0.0821537[/C][C]0.164307[/C][C]0.917846[/C][/ROW]
[ROW][C]102[/C][C]0.096584[/C][C]0.193168[/C][C]0.903416[/C][/ROW]
[ROW][C]103[/C][C]0.0993273[/C][C]0.198655[/C][C]0.900673[/C][/ROW]
[ROW][C]104[/C][C]0.0866596[/C][C]0.173319[/C][C]0.91334[/C][/ROW]
[ROW][C]105[/C][C]0.0758689[/C][C]0.151738[/C][C]0.924131[/C][/ROW]
[ROW][C]106[/C][C]0.0685117[/C][C]0.137023[/C][C]0.931488[/C][/ROW]
[ROW][C]107[/C][C]0.0593583[/C][C]0.118717[/C][C]0.940642[/C][/ROW]
[ROW][C]108[/C][C]0.0495912[/C][C]0.0991823[/C][C]0.950409[/C][/ROW]
[ROW][C]109[/C][C]0.0412725[/C][C]0.0825449[/C][C]0.958728[/C][/ROW]
[ROW][C]110[/C][C]0.0348041[/C][C]0.0696083[/C][C]0.965196[/C][/ROW]
[ROW][C]111[/C][C]0.0309495[/C][C]0.061899[/C][C]0.96905[/C][/ROW]
[ROW][C]112[/C][C]0.026286[/C][C]0.0525721[/C][C]0.973714[/C][/ROW]
[ROW][C]113[/C][C]0.0273342[/C][C]0.0546683[/C][C]0.972666[/C][/ROW]
[ROW][C]114[/C][C]0.022264[/C][C]0.0445281[/C][C]0.977736[/C][/ROW]
[ROW][C]115[/C][C]0.0213461[/C][C]0.0426923[/C][C]0.978654[/C][/ROW]
[ROW][C]116[/C][C]0.0249812[/C][C]0.0499623[/C][C]0.975019[/C][/ROW]
[ROW][C]117[/C][C]0.0324606[/C][C]0.0649211[/C][C]0.967539[/C][/ROW]
[ROW][C]118[/C][C]0.0279919[/C][C]0.0559838[/C][C]0.972008[/C][/ROW]
[ROW][C]119[/C][C]0.0231897[/C][C]0.0463795[/C][C]0.97681[/C][/ROW]
[ROW][C]120[/C][C]0.019173[/C][C]0.0383459[/C][C]0.980827[/C][/ROW]
[ROW][C]121[/C][C]0.148586[/C][C]0.297172[/C][C]0.851414[/C][/ROW]
[ROW][C]122[/C][C]0.182243[/C][C]0.364486[/C][C]0.817757[/C][/ROW]
[ROW][C]123[/C][C]0.206575[/C][C]0.41315[/C][C]0.793425[/C][/ROW]
[ROW][C]124[/C][C]0.242556[/C][C]0.485112[/C][C]0.757444[/C][/ROW]
[ROW][C]125[/C][C]0.933501[/C][C]0.132997[/C][C]0.0664987[/C][/ROW]
[ROW][C]126[/C][C]0.950783[/C][C]0.0984346[/C][C]0.0492173[/C][/ROW]
[ROW][C]127[/C][C]0.948201[/C][C]0.103599[/C][C]0.0517993[/C][/ROW]
[ROW][C]128[/C][C]0.955499[/C][C]0.0890011[/C][C]0.0445006[/C][/ROW]
[ROW][C]129[/C][C]0.947483[/C][C]0.105034[/C][C]0.0525172[/C][/ROW]
[ROW][C]130[/C][C]0.943674[/C][C]0.112653[/C][C]0.0563264[/C][/ROW]
[ROW][C]131[/C][C]0.93342[/C][C]0.133159[/C][C]0.0665797[/C][/ROW]
[ROW][C]132[/C][C]0.931575[/C][C]0.136849[/C][C]0.0684246[/C][/ROW]
[ROW][C]133[/C][C]0.934392[/C][C]0.131215[/C][C]0.0656077[/C][/ROW]
[ROW][C]134[/C][C]0.9343[/C][C]0.1314[/C][C]0.0656999[/C][/ROW]
[ROW][C]135[/C][C]0.935763[/C][C]0.128473[/C][C]0.0642366[/C][/ROW]
[ROW][C]136[/C][C]0.95912[/C][C]0.0817602[/C][C]0.0408801[/C][/ROW]
[ROW][C]137[/C][C]0.952076[/C][C]0.0958479[/C][C]0.047924[/C][/ROW]
[ROW][C]138[/C][C]0.943666[/C][C]0.112667[/C][C]0.0563337[/C][/ROW]
[ROW][C]139[/C][C]0.936342[/C][C]0.127317[/C][C]0.0636583[/C][/ROW]
[ROW][C]140[/C][C]0.925198[/C][C]0.149604[/C][C]0.0748018[/C][/ROW]
[ROW][C]141[/C][C]0.915711[/C][C]0.168578[/C][C]0.0842888[/C][/ROW]
[ROW][C]142[/C][C]0.913569[/C][C]0.172863[/C][C]0.0864314[/C][/ROW]
[ROW][C]143[/C][C]0.925317[/C][C]0.149366[/C][C]0.0746829[/C][/ROW]
[ROW][C]144[/C][C]0.939302[/C][C]0.121397[/C][C]0.0606984[/C][/ROW]
[ROW][C]145[/C][C]0.935466[/C][C]0.129069[/C][C]0.0645343[/C][/ROW]
[ROW][C]146[/C][C]0.948296[/C][C]0.103408[/C][C]0.0517042[/C][/ROW]
[ROW][C]147[/C][C]0.947364[/C][C]0.105272[/C][C]0.0526362[/C][/ROW]
[ROW][C]148[/C][C]0.93768[/C][C]0.124639[/C][C]0.0623195[/C][/ROW]
[ROW][C]149[/C][C]0.937893[/C][C]0.124215[/C][C]0.0621074[/C][/ROW]
[ROW][C]150[/C][C]0.929518[/C][C]0.140963[/C][C]0.0704816[/C][/ROW]
[ROW][C]151[/C][C]0.94144[/C][C]0.117119[/C][C]0.0585597[/C][/ROW]
[ROW][C]152[/C][C]0.933427[/C][C]0.133146[/C][C]0.0665729[/C][/ROW]
[ROW][C]153[/C][C]0.933472[/C][C]0.133055[/C][C]0.0665276[/C][/ROW]
[ROW][C]154[/C][C]0.921967[/C][C]0.156065[/C][C]0.0780326[/C][/ROW]
[ROW][C]155[/C][C]0.90965[/C][C]0.1807[/C][C]0.0903498[/C][/ROW]
[ROW][C]156[/C][C]0.896502[/C][C]0.206997[/C][C]0.103498[/C][/ROW]
[ROW][C]157[/C][C]0.882773[/C][C]0.234454[/C][C]0.117227[/C][/ROW]
[ROW][C]158[/C][C]0.907041[/C][C]0.185917[/C][C]0.0929586[/C][/ROW]
[ROW][C]159[/C][C]0.89244[/C][C]0.215121[/C][C]0.10756[/C][/ROW]
[ROW][C]160[/C][C]0.877332[/C][C]0.245337[/C][C]0.122668[/C][/ROW]
[ROW][C]161[/C][C]0.873218[/C][C]0.253563[/C][C]0.126782[/C][/ROW]
[ROW][C]162[/C][C]0.866293[/C][C]0.267414[/C][C]0.133707[/C][/ROW]
[ROW][C]163[/C][C]0.914976[/C][C]0.170048[/C][C]0.0850242[/C][/ROW]
[ROW][C]164[/C][C]0.901048[/C][C]0.197903[/C][C]0.0989516[/C][/ROW]
[ROW][C]165[/C][C]0.926638[/C][C]0.146725[/C][C]0.0733624[/C][/ROW]
[ROW][C]166[/C][C]0.914843[/C][C]0.170314[/C][C]0.0851569[/C][/ROW]
[ROW][C]167[/C][C]0.937101[/C][C]0.125799[/C][C]0.0628995[/C][/ROW]
[ROW][C]168[/C][C]0.925996[/C][C]0.148008[/C][C]0.0740038[/C][/ROW]
[ROW][C]169[/C][C]0.932014[/C][C]0.135972[/C][C]0.0679861[/C][/ROW]
[ROW][C]170[/C][C]0.931312[/C][C]0.137376[/C][C]0.0686878[/C][/ROW]
[ROW][C]171[/C][C]0.951276[/C][C]0.0974471[/C][C]0.0487235[/C][/ROW]
[ROW][C]172[/C][C]0.957239[/C][C]0.0855222[/C][C]0.0427611[/C][/ROW]
[ROW][C]173[/C][C]0.964666[/C][C]0.0706679[/C][C]0.0353339[/C][/ROW]
[ROW][C]174[/C][C]0.976179[/C][C]0.0476415[/C][C]0.0238207[/C][/ROW]
[ROW][C]175[/C][C]0.971107[/C][C]0.0577853[/C][C]0.0288927[/C][/ROW]
[ROW][C]176[/C][C]0.969737[/C][C]0.0605264[/C][C]0.0302632[/C][/ROW]
[ROW][C]177[/C][C]0.965112[/C][C]0.069777[/C][C]0.0348885[/C][/ROW]
[ROW][C]178[/C][C]0.96085[/C][C]0.0782993[/C][C]0.0391497[/C][/ROW]
[ROW][C]179[/C][C]0.956703[/C][C]0.0865943[/C][C]0.0432971[/C][/ROW]
[ROW][C]180[/C][C]0.951308[/C][C]0.0973843[/C][C]0.0486921[/C][/ROW]
[ROW][C]181[/C][C]0.945232[/C][C]0.109536[/C][C]0.0547678[/C][/ROW]
[ROW][C]182[/C][C]0.942184[/C][C]0.115632[/C][C]0.0578159[/C][/ROW]
[ROW][C]183[/C][C]0.937986[/C][C]0.124027[/C][C]0.0620135[/C][/ROW]
[ROW][C]184[/C][C]0.927205[/C][C]0.145591[/C][C]0.0727953[/C][/ROW]
[ROW][C]185[/C][C]0.91902[/C][C]0.16196[/C][C]0.0809802[/C][/ROW]
[ROW][C]186[/C][C]0.91915[/C][C]0.161701[/C][C]0.0808503[/C][/ROW]
[ROW][C]187[/C][C]0.957705[/C][C]0.0845907[/C][C]0.0422954[/C][/ROW]
[ROW][C]188[/C][C]0.948827[/C][C]0.102346[/C][C]0.0511731[/C][/ROW]
[ROW][C]189[/C][C]0.95305[/C][C]0.0938996[/C][C]0.0469498[/C][/ROW]
[ROW][C]190[/C][C]0.950876[/C][C]0.0982476[/C][C]0.0491238[/C][/ROW]
[ROW][C]191[/C][C]0.943673[/C][C]0.112654[/C][C]0.0563272[/C][/ROW]
[ROW][C]192[/C][C]0.942108[/C][C]0.115783[/C][C]0.0578916[/C][/ROW]
[ROW][C]193[/C][C]0.940738[/C][C]0.118524[/C][C]0.0592619[/C][/ROW]
[ROW][C]194[/C][C]0.929733[/C][C]0.140535[/C][C]0.0702674[/C][/ROW]
[ROW][C]195[/C][C]0.962326[/C][C]0.0753477[/C][C]0.0376739[/C][/ROW]
[ROW][C]196[/C][C]0.9542[/C][C]0.0916005[/C][C]0.0458003[/C][/ROW]
[ROW][C]197[/C][C]0.948551[/C][C]0.102897[/C][C]0.0514487[/C][/ROW]
[ROW][C]198[/C][C]0.946008[/C][C]0.107983[/C][C]0.0539917[/C][/ROW]
[ROW][C]199[/C][C]0.940734[/C][C]0.118532[/C][C]0.059266[/C][/ROW]
[ROW][C]200[/C][C]0.928984[/C][C]0.142033[/C][C]0.0710163[/C][/ROW]
[ROW][C]201[/C][C]0.916055[/C][C]0.167891[/C][C]0.0839455[/C][/ROW]
[ROW][C]202[/C][C]0.900947[/C][C]0.198106[/C][C]0.0990529[/C][/ROW]
[ROW][C]203[/C][C]0.900566[/C][C]0.198868[/C][C]0.0994341[/C][/ROW]
[ROW][C]204[/C][C]0.883402[/C][C]0.233196[/C][C]0.116598[/C][/ROW]
[ROW][C]205[/C][C]0.877927[/C][C]0.244145[/C][C]0.122073[/C][/ROW]
[ROW][C]206[/C][C]0.859635[/C][C]0.28073[/C][C]0.140365[/C][/ROW]
[ROW][C]207[/C][C]0.848748[/C][C]0.302504[/C][C]0.151252[/C][/ROW]
[ROW][C]208[/C][C]0.833439[/C][C]0.333121[/C][C]0.166561[/C][/ROW]
[ROW][C]209[/C][C]0.809073[/C][C]0.381854[/C][C]0.190927[/C][/ROW]
[ROW][C]210[/C][C]0.781534[/C][C]0.436933[/C][C]0.218466[/C][/ROW]
[ROW][C]211[/C][C]0.796999[/C][C]0.406001[/C][C]0.203001[/C][/ROW]
[ROW][C]212[/C][C]0.789275[/C][C]0.42145[/C][C]0.210725[/C][/ROW]
[ROW][C]213[/C][C]0.760508[/C][C]0.478984[/C][C]0.239492[/C][/ROW]
[ROW][C]214[/C][C]0.752205[/C][C]0.49559[/C][C]0.247795[/C][/ROW]
[ROW][C]215[/C][C]0.730934[/C][C]0.538131[/C][C]0.269066[/C][/ROW]
[ROW][C]216[/C][C]0.825674[/C][C]0.348653[/C][C]0.174326[/C][/ROW]
[ROW][C]217[/C][C]0.827014[/C][C]0.345972[/C][C]0.172986[/C][/ROW]
[ROW][C]218[/C][C]0.800221[/C][C]0.399558[/C][C]0.199779[/C][/ROW]
[ROW][C]219[/C][C]0.780759[/C][C]0.438481[/C][C]0.219241[/C][/ROW]
[ROW][C]220[/C][C]0.795246[/C][C]0.409508[/C][C]0.204754[/C][/ROW]
[ROW][C]221[/C][C]0.77604[/C][C]0.44792[/C][C]0.22396[/C][/ROW]
[ROW][C]222[/C][C]0.831067[/C][C]0.337865[/C][C]0.168933[/C][/ROW]
[ROW][C]223[/C][C]0.805444[/C][C]0.389112[/C][C]0.194556[/C][/ROW]
[ROW][C]224[/C][C]0.777411[/C][C]0.445179[/C][C]0.222589[/C][/ROW]
[ROW][C]225[/C][C]0.768458[/C][C]0.463084[/C][C]0.231542[/C][/ROW]
[ROW][C]226[/C][C]0.736884[/C][C]0.526231[/C][C]0.263116[/C][/ROW]
[ROW][C]227[/C][C]0.700728[/C][C]0.598543[/C][C]0.299272[/C][/ROW]
[ROW][C]228[/C][C]0.681682[/C][C]0.636635[/C][C]0.318318[/C][/ROW]
[ROW][C]229[/C][C]0.644447[/C][C]0.711105[/C][C]0.355553[/C][/ROW]
[ROW][C]230[/C][C]0.60984[/C][C]0.78032[/C][C]0.39016[/C][/ROW]
[ROW][C]231[/C][C]0.642238[/C][C]0.715525[/C][C]0.357762[/C][/ROW]
[ROW][C]232[/C][C]0.683039[/C][C]0.633922[/C][C]0.316961[/C][/ROW]
[ROW][C]233[/C][C]0.659383[/C][C]0.681234[/C][C]0.340617[/C][/ROW]
[ROW][C]234[/C][C]0.645479[/C][C]0.709042[/C][C]0.354521[/C][/ROW]
[ROW][C]235[/C][C]0.648413[/C][C]0.703174[/C][C]0.351587[/C][/ROW]
[ROW][C]236[/C][C]0.613765[/C][C]0.772469[/C][C]0.386235[/C][/ROW]
[ROW][C]237[/C][C]0.786341[/C][C]0.427318[/C][C]0.213659[/C][/ROW]
[ROW][C]238[/C][C]0.751791[/C][C]0.496417[/C][C]0.248209[/C][/ROW]
[ROW][C]239[/C][C]0.738995[/C][C]0.522011[/C][C]0.261005[/C][/ROW]
[ROW][C]240[/C][C]0.921875[/C][C]0.15625[/C][C]0.0781249[/C][/ROW]
[ROW][C]241[/C][C]0.907712[/C][C]0.184576[/C][C]0.092288[/C][/ROW]
[ROW][C]242[/C][C]0.895192[/C][C]0.209616[/C][C]0.104808[/C][/ROW]
[ROW][C]243[/C][C]0.885506[/C][C]0.228989[/C][C]0.114494[/C][/ROW]
[ROW][C]244[/C][C]0.889018[/C][C]0.221964[/C][C]0.110982[/C][/ROW]
[ROW][C]245[/C][C]0.90396[/C][C]0.192081[/C][C]0.0960403[/C][/ROW]
[ROW][C]246[/C][C]0.883188[/C][C]0.233624[/C][C]0.116812[/C][/ROW]
[ROW][C]247[/C][C]0.856237[/C][C]0.287526[/C][C]0.143763[/C][/ROW]
[ROW][C]248[/C][C]0.837675[/C][C]0.324649[/C][C]0.162325[/C][/ROW]
[ROW][C]249[/C][C]0.826199[/C][C]0.347602[/C][C]0.173801[/C][/ROW]
[ROW][C]250[/C][C]0.789838[/C][C]0.420323[/C][C]0.210162[/C][/ROW]
[ROW][C]251[/C][C]0.755091[/C][C]0.489818[/C][C]0.244909[/C][/ROW]
[ROW][C]252[/C][C]0.845255[/C][C]0.309491[/C][C]0.154745[/C][/ROW]
[ROW][C]253[/C][C]0.827725[/C][C]0.34455[/C][C]0.172275[/C][/ROW]
[ROW][C]254[/C][C]0.835987[/C][C]0.328026[/C][C]0.164013[/C][/ROW]
[ROW][C]255[/C][C]0.817205[/C][C]0.36559[/C][C]0.182795[/C][/ROW]
[ROW][C]256[/C][C]0.911582[/C][C]0.176835[/C][C]0.0884177[/C][/ROW]
[ROW][C]257[/C][C]0.898792[/C][C]0.202417[/C][C]0.101208[/C][/ROW]
[ROW][C]258[/C][C]0.925918[/C][C]0.148164[/C][C]0.0740818[/C][/ROW]
[ROW][C]259[/C][C]0.922666[/C][C]0.154667[/C][C]0.0773335[/C][/ROW]
[ROW][C]260[/C][C]0.946073[/C][C]0.107854[/C][C]0.0539268[/C][/ROW]
[ROW][C]261[/C][C]0.930949[/C][C]0.138102[/C][C]0.0690508[/C][/ROW]
[ROW][C]262[/C][C]0.920578[/C][C]0.158844[/C][C]0.0794222[/C][/ROW]
[ROW][C]263[/C][C]0.982556[/C][C]0.0348889[/C][C]0.0174445[/C][/ROW]
[ROW][C]264[/C][C]0.977422[/C][C]0.0451557[/C][C]0.0225779[/C][/ROW]
[ROW][C]265[/C][C]0.982546[/C][C]0.0349077[/C][C]0.0174539[/C][/ROW]
[ROW][C]266[/C][C]0.972839[/C][C]0.0543227[/C][C]0.0271613[/C][/ROW]
[ROW][C]267[/C][C]0.975887[/C][C]0.0482265[/C][C]0.0241132[/C][/ROW]
[ROW][C]268[/C][C]0.970744[/C][C]0.0585127[/C][C]0.0292563[/C][/ROW]
[ROW][C]269[/C][C]0.956683[/C][C]0.0866342[/C][C]0.0433171[/C][/ROW]
[ROW][C]270[/C][C]0.949627[/C][C]0.100746[/C][C]0.0503728[/C][/ROW]
[ROW][C]271[/C][C]0.920644[/C][C]0.158711[/C][C]0.0793557[/C][/ROW]
[ROW][C]272[/C][C]0.901578[/C][C]0.196844[/C][C]0.0984218[/C][/ROW]
[ROW][C]273[/C][C]0.878753[/C][C]0.242494[/C][C]0.121247[/C][/ROW]
[ROW][C]274[/C][C]0.822228[/C][C]0.355543[/C][C]0.177772[/C][/ROW]
[ROW][C]275[/C][C]0.743919[/C][C]0.512162[/C][C]0.256081[/C][/ROW]
[ROW][C]276[/C][C]0.884147[/C][C]0.231705[/C][C]0.115853[/C][/ROW]
[ROW][C]277[/C][C]0.883955[/C][C]0.23209[/C][C]0.116045[/C][/ROW]
[ROW][C]278[/C][C]0.804132[/C][C]0.391736[/C][C]0.195868[/C][/ROW]
[ROW][C]279[/C][C]0.868486[/C][C]0.263029[/C][C]0.131514[/C][/ROW]
[ROW][C]280[/C][C]0.935434[/C][C]0.129131[/C][C]0.0645657[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266316&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266316&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.6423140.7153710.357686
80.5412180.9175650.458782
90.5718780.8562440.428122
100.5074180.9851640.492582
110.5548430.8903150.445157
120.4490960.8981910.550904
130.3555250.7110510.644475
140.3616720.7233430.638328
150.3120310.6240620.687969
160.6151910.7696190.384809
170.6304060.7391880.369594
180.6154010.7691980.384599
190.6024230.7951530.397577
200.5533420.8933170.446658
210.4893490.9786980.510651
220.5814270.8371460.418573
230.6108760.7782490.389124
240.5475780.9048430.452422
250.5620190.8759630.437981
260.5069570.9860860.493043
270.5528990.8942030.447101
280.6066390.7867220.393361
290.5554820.8890360.444518
300.5131330.9737340.486867
310.4568180.9136360.543182
320.4018080.8036150.598192
330.3568720.7137440.643128
340.3962020.7924050.603798
350.3848630.7697270.615137
360.3370680.6741350.662932
370.2970730.5941470.702927
380.2892760.5785530.710724
390.2526820.5053640.747318
400.3129740.6259490.687026
410.2697680.5395370.730232
420.2348420.4696840.765158
430.2293750.4587510.770625
440.1986440.3972890.801356
450.1728460.3456930.827154
460.1452390.2904770.854761
470.1317840.2635670.868216
480.1082980.2165950.891702
490.09240530.1848110.907595
500.07573980.151480.92426
510.06067910.1213580.939321
520.09429180.1885840.905708
530.07998910.1599780.920011
540.08700390.1740080.912996
550.08130240.1626050.918698
560.08165210.1633040.918348
570.06602080.1320420.933979
580.05592220.1118440.944078
590.04991410.09982810.950086
600.04023060.08046120.959769
610.0820730.1641460.917927
620.06753040.1350610.93247
630.09353430.1870690.906466
640.1157080.2314160.884292
650.09667250.1933450.903327
660.1050380.2100760.894962
670.09153310.1830660.908467
680.08791750.1758350.912083
690.08659460.1731890.913405
700.2859010.5718010.714099
710.2667040.5334080.733296
720.2365730.4731470.763427
730.2193220.4386440.780678
740.2083980.4167970.791602
750.1819470.3638950.818053
760.1665840.3331680.833416
770.1476550.2953090.852345
780.1354770.2709550.864523
790.2416630.4833260.758337
800.2363910.4727830.763609
810.2207670.4415340.779233
820.211680.4233590.78832
830.1972150.3944310.802785
840.1756080.3512160.824392
850.1553360.3106720.844664
860.1453490.2906980.854651
870.1266720.2533430.873328
880.1298190.2596380.870181
890.1113890.2227780.888611
900.1132320.2264640.886768
910.1019720.2039450.898028
920.119340.238680.88066
930.1149690.2299380.885031
940.101460.2029190.89854
950.09240810.1848160.907592
960.08507380.1701480.914926
970.07769630.1553930.922304
980.07549380.1509880.924506
990.07942260.1588450.920577
1000.09159710.1831940.908403
1010.08215370.1643070.917846
1020.0965840.1931680.903416
1030.09932730.1986550.900673
1040.08665960.1733190.91334
1050.07586890.1517380.924131
1060.06851170.1370230.931488
1070.05935830.1187170.940642
1080.04959120.09918230.950409
1090.04127250.08254490.958728
1100.03480410.06960830.965196
1110.03094950.0618990.96905
1120.0262860.05257210.973714
1130.02733420.05466830.972666
1140.0222640.04452810.977736
1150.02134610.04269230.978654
1160.02498120.04996230.975019
1170.03246060.06492110.967539
1180.02799190.05598380.972008
1190.02318970.04637950.97681
1200.0191730.03834590.980827
1210.1485860.2971720.851414
1220.1822430.3644860.817757
1230.2065750.413150.793425
1240.2425560.4851120.757444
1250.9335010.1329970.0664987
1260.9507830.09843460.0492173
1270.9482010.1035990.0517993
1280.9554990.08900110.0445006
1290.9474830.1050340.0525172
1300.9436740.1126530.0563264
1310.933420.1331590.0665797
1320.9315750.1368490.0684246
1330.9343920.1312150.0656077
1340.93430.13140.0656999
1350.9357630.1284730.0642366
1360.959120.08176020.0408801
1370.9520760.09584790.047924
1380.9436660.1126670.0563337
1390.9363420.1273170.0636583
1400.9251980.1496040.0748018
1410.9157110.1685780.0842888
1420.9135690.1728630.0864314
1430.9253170.1493660.0746829
1440.9393020.1213970.0606984
1450.9354660.1290690.0645343
1460.9482960.1034080.0517042
1470.9473640.1052720.0526362
1480.937680.1246390.0623195
1490.9378930.1242150.0621074
1500.9295180.1409630.0704816
1510.941440.1171190.0585597
1520.9334270.1331460.0665729
1530.9334720.1330550.0665276
1540.9219670.1560650.0780326
1550.909650.18070.0903498
1560.8965020.2069970.103498
1570.8827730.2344540.117227
1580.9070410.1859170.0929586
1590.892440.2151210.10756
1600.8773320.2453370.122668
1610.8732180.2535630.126782
1620.8662930.2674140.133707
1630.9149760.1700480.0850242
1640.9010480.1979030.0989516
1650.9266380.1467250.0733624
1660.9148430.1703140.0851569
1670.9371010.1257990.0628995
1680.9259960.1480080.0740038
1690.9320140.1359720.0679861
1700.9313120.1373760.0686878
1710.9512760.09744710.0487235
1720.9572390.08552220.0427611
1730.9646660.07066790.0353339
1740.9761790.04764150.0238207
1750.9711070.05778530.0288927
1760.9697370.06052640.0302632
1770.9651120.0697770.0348885
1780.960850.07829930.0391497
1790.9567030.08659430.0432971
1800.9513080.09738430.0486921
1810.9452320.1095360.0547678
1820.9421840.1156320.0578159
1830.9379860.1240270.0620135
1840.9272050.1455910.0727953
1850.919020.161960.0809802
1860.919150.1617010.0808503
1870.9577050.08459070.0422954
1880.9488270.1023460.0511731
1890.953050.09389960.0469498
1900.9508760.09824760.0491238
1910.9436730.1126540.0563272
1920.9421080.1157830.0578916
1930.9407380.1185240.0592619
1940.9297330.1405350.0702674
1950.9623260.07534770.0376739
1960.95420.09160050.0458003
1970.9485510.1028970.0514487
1980.9460080.1079830.0539917
1990.9407340.1185320.059266
2000.9289840.1420330.0710163
2010.9160550.1678910.0839455
2020.9009470.1981060.0990529
2030.9005660.1988680.0994341
2040.8834020.2331960.116598
2050.8779270.2441450.122073
2060.8596350.280730.140365
2070.8487480.3025040.151252
2080.8334390.3331210.166561
2090.8090730.3818540.190927
2100.7815340.4369330.218466
2110.7969990.4060010.203001
2120.7892750.421450.210725
2130.7605080.4789840.239492
2140.7522050.495590.247795
2150.7309340.5381310.269066
2160.8256740.3486530.174326
2170.8270140.3459720.172986
2180.8002210.3995580.199779
2190.7807590.4384810.219241
2200.7952460.4095080.204754
2210.776040.447920.22396
2220.8310670.3378650.168933
2230.8054440.3891120.194556
2240.7774110.4451790.222589
2250.7684580.4630840.231542
2260.7368840.5262310.263116
2270.7007280.5985430.299272
2280.6816820.6366350.318318
2290.6444470.7111050.355553
2300.609840.780320.39016
2310.6422380.7155250.357762
2320.6830390.6339220.316961
2330.6593830.6812340.340617
2340.6454790.7090420.354521
2350.6484130.7031740.351587
2360.6137650.7724690.386235
2370.7863410.4273180.213659
2380.7517910.4964170.248209
2390.7389950.5220110.261005
2400.9218750.156250.0781249
2410.9077120.1845760.092288
2420.8951920.2096160.104808
2430.8855060.2289890.114494
2440.8890180.2219640.110982
2450.903960.1920810.0960403
2460.8831880.2336240.116812
2470.8562370.2875260.143763
2480.8376750.3246490.162325
2490.8261990.3476020.173801
2500.7898380.4203230.210162
2510.7550910.4898180.244909
2520.8452550.3094910.154745
2530.8277250.344550.172275
2540.8359870.3280260.164013
2550.8172050.365590.182795
2560.9115820.1768350.0884177
2570.8987920.2024170.101208
2580.9259180.1481640.0740818
2590.9226660.1546670.0773335
2600.9460730.1078540.0539268
2610.9309490.1381020.0690508
2620.9205780.1588440.0794222
2630.9825560.03488890.0174445
2640.9774220.04515570.0225779
2650.9825460.03490770.0174539
2660.9728390.05432270.0271613
2670.9758870.04822650.0241132
2680.9707440.05851270.0292563
2690.9566830.08663420.0433171
2700.9496270.1007460.0503728
2710.9206440.1587110.0793557
2720.9015780.1968440.0984218
2730.8787530.2424940.121247
2740.8222280.3555430.177772
2750.7439190.5121620.256081
2760.8841470.2317050.115853
2770.8839550.232090.116045
2780.8041320.3917360.195868
2790.8684860.2630290.131514
2800.9354340.1291310.0645657






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level100.0364964OK
10% type I error level410.149635NOK

\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 & 10 & 0.0364964 & OK \tabularnewline
10% type I error level & 41 & 0.149635 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266316&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]10[/C][C]0.0364964[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]41[/C][C]0.149635[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266316&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266316&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level100.0364964OK
10% type I error level410.149635NOK


Figures (Output of Computation)

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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')
}