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Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationSat, 10 Nov 2012 06:38:38 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Nov/10/t13525475652q5lix9fnm4si95.htm/, Retrieved Sat, 10 Dec 2022 06:30:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=187301, Retrieved Sat, 10 Dec 2022 06:30:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact95
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [Decomposition by Loess] [Seasonal Decompos...] [2012-11-10 09:27:49] [3f1165f0052bdaf7d486f8ac60253253]
- RMP       [Multiple Regression] [MR analysis time ...] [2012-11-10 11:38:38] [64435dfec13c3cda39d1733fd4b6eb52] [Current]
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Dataseries X:
235.1
280.7
264.6
240.7
201.4
240.8
241.1
223.8
206.1
174.7
203.3
220.5
299.5
347.4
338.3
327.7
351.6
396.6
438.8
395.6
363.5
378.8
357
369
464.8
479.1
431.3
366.5
326.3
355.1
331.6
261.3
249
205.5
235.6
240.9
264.9
253.8
232.3
193.8
177
213.2
207.2
180.6
188.6
175.4
199
179.6
225.8
234
200.2
183.6
178.2
203.2
208.5
191.8
172.8
148
159.4
154.5
213.2
196.4
182.8
176.4
153.6
173.2
171
151.2
161.9
157.2
201.7
236.4
356.1
398.3
403.7
384.6
365.8
368.1
367.9
347
343.3
292.9
311.5
300.9
366.9
356.9
329.7
316.2
269
289.3
266.2
253.6
233.8
228.4
253.6
260.1
306.6
309.2
309.5
271
279.9
317.9
298.4
246.7
227.3
209.1
259.9
266
320.6
308.5
282.2
262.7
263.5
313.1
284.3
252.6
250.3
246.5
312.7
333.2
446.4
511.6
515.5
506.4
483.2
522.3
509.8
460.7
405.8
375
378.5
406.8
467.8
469.8
429.8
355.8
332.7
378
360.5
334.7
319.5
323.1
363.6
352.1
411.9
388.6
416.4
360.7
338
417.2
388.4
371.1
331.5
353.7
396.7
447
533.5
565.4
542.3
488.7
467.1
531.3
496.1
444
403.4
386.3
394.1
404.1
462.1
448.1
432.3
386.3
395.2
421.9
382.9
384.2
345.5
323.4
372.6
376
462.7
487
444.2
399.3
394.9
455.4
414
375.5
347
339.4
385.8
378.8
451.8
446.1
422.5
383.1
352.8
445.3
367.5
355.1
326.2
319.8
331.8
340.9
394.1
417.2
369.9
349.2
321.4
405.7
342.9
316.5
284.2
270.9
288.8
278.8
324.4
310.9
299
273
279.3
359.2
305
282.1
250.3
246.5
257.9
266.5
315.9
318.4
295.4
266.4
245.8
362.8
324.9
294.2
289.5
295.2
290.3
272
307.4
328.7
292.9
249.1
230.4
361.5
321.7
277.2
260.7
251
257.6
241.8
287.5
292.3
274.7
254.2
230
339
318.2
287
295.8
284
271
262.7
340.6
379.4
373.3
355.2
338.4
466.9
451
422
429.2
425.9
460.7
463.6
541.4
544.2
517.5
469.4
439.4
549
533
506.1
484
457
481.5
469.5
544.7
541.2
521.5
469.7
434.4
542.6
517.3
485.7
465.8
447
426.6
411.6
467.5
484.5
451.2
417.4
379.9
484.7
455
420.8
416.5
376.3
405.6
405.8
500.8
514
475.5
430.1
414.4
538
526
488.5
520.2
504.4
568.5
610.6
818
830.9
835.9
782
762.3
856.9
820.9
769.6
752.2
724.4
723.1
719.5
817.4
803.3
752.5
689
630.4
765.5
757.7
732.2
702.6
683.3
709.5
702.2
784.8
810.9
755.6
656.8
615.1
745.3
694.1
675.7
643.7
622.1
634.6
588
689.7
673.9
647.9
568.8
545.7
632.6
643.8
593.1
579.7
546
562.9
572.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time16 seconds
R Server'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 16 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=187301&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]16 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=187301&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=187301&T=0

As an alternative you can also use a 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 time16 seconds
R Server'George Udny Yule' @ yule.wessa.net







Multiple Linear Regression - Estimated Regression Equation
Unemployment[t] = + 176.34311827957 + 72.2415821012545M1[t] + 81.1193268369176M2[t] + 57.8325554435484M3[t] + 17.8909453405018M4[t] -3.66679379480288M5[t] + 68.0399831989247M6[t] + 44.2499859991039M7[t] + 12.0857952508961M8[t] -6.03968581989247M9[t] -22.5006507616487M10[t] -1.44871247759856M11[t] + 1.0190294578853t + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Unemployment[t] =  +  176.34311827957 +  72.2415821012545M1[t] +  81.1193268369176M2[t] +  57.8325554435484M3[t] +  17.8909453405018M4[t] -3.66679379480288M5[t] +  68.0399831989247M6[t] +  44.2499859991039M7[t] +  12.0857952508961M8[t] -6.03968581989247M9[t] -22.5006507616487M10[t] -1.44871247759856M11[t] +  1.0190294578853t  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=187301&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Unemployment[t] =  +  176.34311827957 +  72.2415821012545M1[t] +  81.1193268369176M2[t] +  57.8325554435484M3[t] +  17.8909453405018M4[t] -3.66679379480288M5[t] +  68.0399831989247M6[t] +  44.2499859991039M7[t] +  12.0857952508961M8[t] -6.03968581989247M9[t] -22.5006507616487M10[t] -1.44871247759856M11[t] +  1.0190294578853t  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=187301&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=187301&T=1

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Estimated Regression Equation
Unemployment[t] = + 176.34311827957 + 72.2415821012545M1[t] + 81.1193268369176M2[t] + 57.8325554435484M3[t] + 17.8909453405018M4[t] -3.66679379480288M5[t] + 68.0399831989247M6[t] + 44.2499859991039M7[t] + 12.0857952508961M8[t] -6.03968581989247M9[t] -22.5006507616487M10[t] -1.44871247759856M11[t] + 1.0190294578853t + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)176.3431182795721.5824958.170700
M172.241582101254527.1256712.66320.0080880.004044
M281.119326836917627.1246422.99060.0029760.001488
M357.832555443548427.123712.13220.0336710.016835
M417.890945340501827.1228760.65960.5099170.254959
M5-3.6667937948028827.122141-0.13520.8925330.446267
M668.039983198924727.1215032.50870.0125570.006279
M744.249985999103927.1209641.63160.1036450.051823
M812.085795250896127.1205220.44560.6561310.328066
M9-6.0396858198924727.120179-0.22270.8238950.411948
M10-22.500650761648727.119934-0.82970.4072760.203638
M11-1.4487124775985627.119787-0.05340.9574280.478714
t1.01902945788530.05157719.757600

\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) & 176.34311827957 & 21.582495 & 8.1707 & 0 & 0 \tabularnewline
M1 & 72.2415821012545 & 27.125671 & 2.6632 & 0.008088 & 0.004044 \tabularnewline
M2 & 81.1193268369176 & 27.124642 & 2.9906 & 0.002976 & 0.001488 \tabularnewline
M3 & 57.8325554435484 & 27.12371 & 2.1322 & 0.033671 & 0.016835 \tabularnewline
M4 & 17.8909453405018 & 27.122876 & 0.6596 & 0.509917 & 0.254959 \tabularnewline
M5 & -3.66679379480288 & 27.122141 & -0.1352 & 0.892533 & 0.446267 \tabularnewline
M6 & 68.0399831989247 & 27.121503 & 2.5087 & 0.012557 & 0.006279 \tabularnewline
M7 & 44.2499859991039 & 27.120964 & 1.6316 & 0.103645 & 0.051823 \tabularnewline
M8 & 12.0857952508961 & 27.120522 & 0.4456 & 0.656131 & 0.328066 \tabularnewline
M9 & -6.03968581989247 & 27.120179 & -0.2227 & 0.823895 & 0.411948 \tabularnewline
M10 & -22.5006507616487 & 27.119934 & -0.8297 & 0.407276 & 0.203638 \tabularnewline
M11 & -1.44871247759856 & 27.119787 & -0.0534 & 0.957428 & 0.478714 \tabularnewline
t & 1.0190294578853 & 0.051577 & 19.7576 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=187301&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]176.34311827957[/C][C]21.582495[/C][C]8.1707[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M1[/C][C]72.2415821012545[/C][C]27.125671[/C][C]2.6632[/C][C]0.008088[/C][C]0.004044[/C][/ROW]
[ROW][C]M2[/C][C]81.1193268369176[/C][C]27.124642[/C][C]2.9906[/C][C]0.002976[/C][C]0.001488[/C][/ROW]
[ROW][C]M3[/C][C]57.8325554435484[/C][C]27.12371[/C][C]2.1322[/C][C]0.033671[/C][C]0.016835[/C][/ROW]
[ROW][C]M4[/C][C]17.8909453405018[/C][C]27.122876[/C][C]0.6596[/C][C]0.509917[/C][C]0.254959[/C][/ROW]
[ROW][C]M5[/C][C]-3.66679379480288[/C][C]27.122141[/C][C]-0.1352[/C][C]0.892533[/C][C]0.446267[/C][/ROW]
[ROW][C]M6[/C][C]68.0399831989247[/C][C]27.121503[/C][C]2.5087[/C][C]0.012557[/C][C]0.006279[/C][/ROW]
[ROW][C]M7[/C][C]44.2499859991039[/C][C]27.120964[/C][C]1.6316[/C][C]0.103645[/C][C]0.051823[/C][/ROW]
[ROW][C]M8[/C][C]12.0857952508961[/C][C]27.120522[/C][C]0.4456[/C][C]0.656131[/C][C]0.328066[/C][/ROW]
[ROW][C]M9[/C][C]-6.03968581989247[/C][C]27.120179[/C][C]-0.2227[/C][C]0.823895[/C][C]0.411948[/C][/ROW]
[ROW][C]M10[/C][C]-22.5006507616487[/C][C]27.119934[/C][C]-0.8297[/C][C]0.407276[/C][C]0.203638[/C][/ROW]
[ROW][C]M11[/C][C]-1.44871247759856[/C][C]27.119787[/C][C]-0.0534[/C][C]0.957428[/C][C]0.478714[/C][/ROW]
[ROW][C]t[/C][C]1.0190294578853[/C][C]0.051577[/C][C]19.7576[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=187301&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=187301&T=2

As an alternative you can also use a 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)176.3431182795721.5824958.170700
M172.241582101254527.1256712.66320.0080880.004044
M281.119326836917627.1246422.99060.0029760.001488
M357.832555443548427.123712.13220.0336710.016835
M417.890945340501827.1228760.65960.5099170.254959
M5-3.6667937948028827.122141-0.13520.8925330.446267
M668.039983198924727.1215032.50870.0125570.006279
M744.249985999103927.1209641.63160.1036450.051823
M812.085795250896127.1205220.44560.6561310.328066
M9-6.0396858198924727.120179-0.22270.8238950.411948
M10-22.500650761648727.119934-0.82970.4072760.203638
M11-1.4487124775985627.119787-0.05340.9574280.478714
t1.01902945788530.05157719.757600







Multiple Linear Regression - Regression Statistics
Multiple R0.735625547908382
R-squared0.541144946735507
Adjusted R-squared0.525807173367334
F-TEST (value)35.2818452682604
F-TEST (DF numerator)12
F-TEST (DF denominator)359
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation106.770513988965
Sum Squared Residuals4092579.41403091

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.735625547908382 \tabularnewline
R-squared & 0.541144946735507 \tabularnewline
Adjusted R-squared & 0.525807173367334 \tabularnewline
F-TEST (value) & 35.2818452682604 \tabularnewline
F-TEST (DF numerator) & 12 \tabularnewline
F-TEST (DF denominator) & 359 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 106.770513988965 \tabularnewline
Sum Squared Residuals & 4092579.41403091 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=187301&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.735625547908382[/C][/ROW]
[ROW][C]R-squared[/C][C]0.541144946735507[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.525807173367334[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]35.2818452682604[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]12[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]359[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]106.770513988965[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]4092579.41403091[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=187301&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=187301&T=3

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Regression Statistics
Multiple R0.735625547908382
R-squared0.541144946735507
Adjusted R-squared0.525807173367334
F-TEST (value)35.2818452682604
F-TEST (DF numerator)12
F-TEST (DF denominator)359
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation106.770513988965
Sum Squared Residuals4092579.41403091







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1235.1249.603729838709-14.5037298387093
2280.7259.50050403225821.199495967742
3264.6237.23276209677427.3672379032257
4240.7198.31018145161342.389818548387
5201.4177.77147177419423.6285282258065
6240.8250.497278225807-9.69727822580659
7241.1227.72631048387113.3736895161289
8223.8196.58114919354827.2188508064516
9206.1179.47469758064526.6253024193549
10174.7164.03276209677410.6672379032258
11203.3186.1037298387117.1962701612903
12220.5188.57147177419431.9285282258065
13299.5261.83208333333337.6679166666668
14347.4271.72885752688275.6711424731182
15338.3249.46111559139888.8388844086022
16327.7210.538534946236117.161465053763
17351.6189.999825268817161.600174731183
18396.6262.72563172043133.87436827957
19438.8239.954663978495198.845336021505
20395.6208.809502688172186.790497311828
21363.5191.703051075269171.796948924731
22378.8176.261115591398202.538884408602
23357198.332083333333158.667916666667
24369200.799825268817168.200174731183
25464.8274.060436827957190.739563172043
26479.1283.957211021505195.142788978495
27431.3261.689469086022169.610530913979
28366.5222.76688844086143.73311155914
29326.3202.228178763441124.071821236559
30355.1274.95398521505480.1460147849462
31331.6252.18301747311879.4169825268817
32261.3221.03785618279640.2621438172043
33249203.93140456989245.0685954301075
34205.5188.48946908602217.0105309139785
35235.6210.56043682795725.039563172043
36240.9213.02817876344127.8718212365591
37264.9286.288790322581-21.3887903225807
38253.8296.185564516129-42.3855645161291
39232.3273.917822580645-41.6178225806451
40193.8234.995241935484-41.1952419354838
41177214.456532258064-37.4565322580645
42213.2287.182338709677-73.9823387096774
43207.2264.411370967742-57.211370967742
44180.6233.266209677419-52.6662096774194
45188.6216.159758064516-27.5597580645162
46175.4200.717822580645-25.3178225806452
47199222.788790322581-23.7887903225807
48179.6225.256532258065-45.6565322580646
49225.8298.517143817204-72.7171438172043
50234308.413918010753-74.4139180107527
51200.2286.146176075269-85.9461760752688
52183.6247.223595430107-63.6235954301075
53178.2226.684885752688-48.4848857526882
54203.2299.410692204301-96.2106922043011
55208.5276.639724462366-68.1397244623656
56191.8245.494563172043-53.694563172043
57172.8228.38811155914-55.5881115591398
58148212.946176075269-64.9461760752688
59159.4235.017143817204-75.6171438172043
60154.5237.484885752688-82.9848857526882
61213.2310.745497311828-97.5454973118279
62196.4320.642271505376-124.242271505376
63182.8298.374529569892-115.574529569892
64176.4259.451948924731-83.0519489247311
65153.6238.913239247312-85.3132392473118
66173.2311.639045698925-138.439045698925
67171288.868077956989-117.868077956989
68151.2257.722916666667-106.522916666667
69161.9240.616465053763-78.7164650537635
70157.2225.174529569892-67.9745295698925
71201.7247.245497311828-45.545497311828
72236.4249.713239247312-13.3132392473118
73356.1322.97385080645233.1261491935484
74398.3332.87062565.429375
75403.7310.60288306451693.0971169354839
76384.6271.680302419355112.919697580645
77365.8251.141592741935114.658407258065
78368.1323.86739919354844.2326008064517
79367.9301.09643145161366.8035685483871
80347269.9512701612977.0487298387097
81343.3252.84481854838790.4551814516129
82292.9237.40288306451655.4971169354839
83311.5259.47385080645252.0261491935484
84300.9261.94159274193538.9584072580645
85366.9335.20220430107531.6977956989247
86356.9345.09897849462411.8010215053763
87329.7322.831236559146.86876344086024
88316.2283.90865591397932.2913440860215
89269263.3699462365595.63005376344091
90289.3336.095752688172-46.795752688172
91266.2313.324784946237-47.1247849462365
92253.6282.179623655914-28.579623655914
93233.8265.073172043011-31.2731720430107
94228.4249.63123655914-21.2312365591398
95253.6271.702204301075-18.1022043010753
96260.1274.169946236559-14.0699462365591
97306.6347.430557795699-40.8305577956989
98309.2357.327331989247-48.1273319892473
99309.5335.059590053763-25.5595900537634
100271296.137009408602-25.1370094086022
101279.9275.5982997311834.30170026881722
102317.9348.324106182796-30.4241061827957
103298.4325.55313844086-27.1531384408602
104246.7294.407977150538-47.7079771505376
105227.3277.301525537634-50.0015255376344
106209.1261.859590053763-52.7595900537634
107259.9283.930557795699-24.0305577956989
108266286.398299731183-20.3982997311828
109320.6359.658911290323-39.0589112903226
110308.5369.555685483871-61.055685483871
111282.2347.287943548387-65.0879435483871
112262.7308.365362903226-45.6653629032258
113263.5287.826653225806-24.3266532258064
114313.1360.552459677419-47.4524596774193
115284.3337.781491935484-53.4814919354838
116252.6306.636330645161-54.0363306451613
117250.3289.529879032258-39.229879032258
118246.5274.087943548387-27.5879435483871
119312.7296.15891129032316.5410887096774
120333.2298.62665322580634.5733467741935
121446.4371.88726478494674.5127352150537
122511.6381.784038978495129.815961021505
123515.5359.516297043011155.983702956989
124506.4320.59371639785185.80628360215
125483.2300.05500672043183.14499327957
126522.3372.780813172043149.519186827957
127509.8350.009845430108159.790154569892
128460.7318.864684139785141.835315860215
129405.8301.758232526882104.041767473118
130375286.31629704301188.6837029569892
131378.5308.38726478494670.1127352150537
132406.8310.8550067204395.9449932795699
133467.8384.1156182795783.6843817204301
134469.8394.01239247311875.7876075268817
135429.8371.74465053763458.0553494623656
136355.8332.82206989247322.9779301075269
137332.7312.28336021505420.4166397849463
138378385.009166666667-7.00916666666668
139360.5362.238198924731-1.73819892473119
140334.7331.0930376344093.60696236559135
141319.5313.9865860215055.5134139784946
142323.1298.54465053763424.5553494623656
143363.6320.6156182795742.9843817204301
144352.1323.08336021505429.0166397849462
145411.9396.34397177419415.5560282258064
146388.6406.240745967742-17.6407459677419
147416.4383.97300403225832.4269959677419
148360.7345.05042338709715.6495766129032
149338324.51171370967713.4882862903226
150417.2397.2375201612919.9624798387097
151388.4374.46655241935513.9334475806451
152371.1343.32139112903227.7786088709677
153331.5326.2149395161295.28506048387095
154353.7310.77300403225842.9269959677419
155396.7332.84397177419463.8560282258064
156447335.311713709677111.688286290323
157533.5408.572325268817124.927674731183
158565.4418.469099462366146.930900537634
159542.3396.201357526882146.098642473118
160488.7357.27877688172131.42122311828
161467.1336.740067204301130.359932795699
162531.3409.465873655914121.834126344086
163496.1386.694905913979109.405094086022
164444355.54974462365688.4502553763441
165403.4338.44329301075364.9567069892473
166386.3323.00135752688263.2986424731183
167394.1345.07232526881749.0276747311828
168404.1347.54006720430156.5599327956989
169462.1420.80067876344141.2993212365591
170448.1430.69745295698917.4025470430108
171432.3408.42971102150523.8702889784946
172386.3369.50713037634416.7928696236559
173395.2348.96842069892546.2315793010753
174421.9421.6942271505380.205772849462341
175382.9398.923259408602-16.0232594086022
176384.2367.7780981182816.4219018817204
177345.5350.671646505376-5.17164650537637
178323.4335.229711021505-11.8297110215054
179372.6357.30067876344115.2993212365591
180376359.76842069892516.2315793010752
181462.7433.02903225806529.6709677419354
182487442.92580645161344.0741935483871
183444.2420.65806451612923.541935483871
184399.3381.73548387096817.5645161290323
185394.9361.19677419354833.7032258064516
186455.4433.92258064516121.4774193548387
187414411.1516129032262.8483870967742
188375.5380.006451612903-4.50645161290326
189347362.9-15.9
190339.4347.458064516129-8.05806451612905
191385.8369.52903225806516.2709677419355
192378.8371.9967741935486.80322580645159
193451.8445.2573857526886.5426142473118
194446.1455.154159946237-9.05415994623654
195422.5432.886418010753-10.3864180107527
196383.1393.963837365591-10.8638373655914
197352.8373.425127688172-20.625127688172
198445.3446.150934139785-0.850934139784941
199367.5423.379966397849-55.8799663978495
200355.1392.234805107527-37.1348051075269
201326.2375.128353494624-48.9283534946237
202319.8359.686418010753-39.8864180107527
203331.8381.757385752688-49.9573857526882
204340.9384.225127688172-43.3251276881721
205394.1457.485739247312-63.3857392473119
206417.2467.38251344086-50.1825134408602
207369.9445.114771505376-75.2147715053764
208349.2406.192190860215-56.9921908602151
209321.4385.653481182796-64.2534811827957
210405.7458.379287634409-52.6792876344086
211342.9435.608319892473-92.7083198924732
212316.5404.463158602151-87.9631586021506
213284.2387.356706989247-103.156706989247
214270.9371.914771505376-101.014771505376
215288.8393.985739247312-105.185739247312
216278.8396.453481182796-117.653481182796
217324.4469.714092741935-145.314092741936
218310.9479.610866935484-168.710866935484
219299457.343125-158.343125
220273418.420544354839-145.420544354839
221279.3397.881834677419-118.581834677419
222359.2470.607641129032-111.407641129032
223305447.836673387097-142.836673387097
224282.1416.691512096774-134.591512096774
225250.3399.585060483871-149.285060483871
226246.5384.143125-137.643125
227257.9406.214092741935-148.314092741935
228266.5408.681834677419-142.181834677419
229315.9481.942446236559-166.042446236559
230318.4491.839220430108-173.439220430107
231295.4469.571478494624-174.171478494624
232266.4430.648897849462-164.248897849462
233245.8410.110188172043-164.310188172043
234362.8482.835994623656-120.035994623656
235324.9460.06502688172-135.16502688172
236294.2428.919865591398-134.719865591398
237289.5411.813413978495-122.313413978495
238295.2396.371478494624-101.171478494624
239290.3418.442446236559-128.142446236559
240272420.910188172043-148.910188172043
241307.4494.170799731183-186.770799731183
242328.7504.067573924731-175.367573924731
243292.9481.799831989247-188.899831989247
244249.1442.877251344086-193.777251344086
245230.4422.338541666667-191.938541666667
246361.5495.06434811828-133.56434811828
247321.7472.293380376344-150.593380376344
248277.2441.148219086022-163.948219086022
249260.7424.041767473118-163.341767473118
250251408.599831989247-157.599831989247
251257.6430.670799731183-173.070799731183
252241.8433.138541666667-191.338541666667
253287.5506.399153225806-218.899153225806
254292.3516.295927419355-223.995927419355
255274.7494.028185483871-219.328185483871
256254.2455.10560483871-200.90560483871
257230434.56689516129-204.56689516129
258339507.292701612903-168.292701612903
259318.2484.521733870968-166.321733870968
260287453.376572580645-166.376572580645
261295.8436.270120967742-140.470120967742
262284420.828185483871-136.828185483871
263271442.899153225806-171.899153225806
264262.7445.36689516129-182.66689516129
265340.6518.62750672043-178.02750672043
266379.4528.524280913978-149.124280913979
267373.3506.256538978495-132.956538978495
268355.2467.333958333333-112.133958333333
269338.4446.795248655914-108.395248655914
270466.9519.521055107527-52.6210551075269
271451496.750087365591-45.7500873655914
272422465.604926075269-43.6049260752688
273429.2448.498474462366-19.2984744623656
274425.9433.056538978495-7.15653897849465
275460.7455.127506720435.57249327956986
276463.6457.5952486559146.00475134408602
277541.4530.85586021505410.5441397849462
278544.2540.7526344086023.44736559139788
279517.5518.484892473118-0.984892473118272
280469.4479.562311827957-10.162311827957
281439.4459.023602150538-19.6236021505376
282549531.74940860215117.2505913978495
283533508.97844086021524.021559139785
284506.1477.83327956989328.2667204301075
285484460.72682795698923.2731720430108
286457445.28489247311811.7151075268817
287481.5467.35586021505414.1441397849462
288469.5469.823602150538-0.323602150537605
289544.7543.0842137096771.61578629032258
290541.2552.980987903226-11.7809879032258
291521.5530.713245967742-9.21324596774194
292469.7491.790665322581-22.0906653225807
293434.4471.251955645161-36.8519556451613
294542.6543.977762096774-1.37776209677414
295517.3521.206794354839-3.90679435483875
296485.7490.061633064516-4.36163306451613
297465.8472.955181451613-7.15518145161287
298447457.513245967742-10.5132459677419
299426.6479.584213709677-52.9842137096774
300411.6482.051955645161-70.4519556451612
301467.5555.312567204301-87.8125672043011
302484.5565.209341397849-80.7093413978495
303451.2542.941599462366-91.7415994623656
304417.4504.019018817204-86.6190188172043
305379.9483.480309139785-103.580309139785
306484.7556.206115591398-71.5061155913979
307455533.435147849462-78.4351478494624
308420.8502.28998655914-81.4899865591398
309416.5485.183534946237-68.6835349462366
310376.3469.741599462366-93.4415994623656
311405.6491.812567204301-86.2125672043011
312405.8494.280309139785-88.4803091397849
313500.8567.540920698925-66.7409206989248
314514577.437694892473-63.4376948924732
315475.5555.169952956989-79.6699529569893
316430.1516.247372311828-86.147372311828
317414.4495.708662634409-81.3086626344087
318538568.434469086022-30.4344690860216
319526545.663501344086-19.6635013440861
320488.5514.518340053763-26.0183400537634
321520.2497.4118884408622.7881115591398
322504.4481.96995295698922.4300470430107
323568.5504.04092069892564.4590793010752
324610.6506.508662634409104.091337365591
325818579.769274193548238.230725806452
326830.9589.666048387097241.233951612903
327835.9567.398306451613268.501693548387
328782528.475725806451253.524274193548
329762.3507.937016129032254.362983870968
330856.9580.662822580645276.237177419355
331820.9557.89185483871263.00814516129
332769.6526.746693548387242.853306451613
333752.2509.640241935484242.559758064516
334724.4494.198306451613230.201693548387
335723.1516.269274193548206.830725806452
336719.5518.737016129032200.762983870968
337817.4591.997627688172225.402372311828
338803.3601.89440188172201.405598118279
339752.5579.626659946237172.873340053763
340689540.704079301075148.295920698925
341630.4520.165369623656110.234630376344
342765.5592.891176075269172.608823924731
343757.7570.120208333333187.579791666667
344732.2538.975047043011193.224952956989
345702.6521.868595430107180.731404569893
346683.3506.426659946236176.873340053763
347709.5528.497627688172181.002372311828
348702.2530.965369623656171.234630376344
349784.8604.225981182796180.574018817204
350810.9614.122755376344196.777244623656
351755.6591.85501344086163.74498655914
352656.8552.932432795699103.867567204301
353615.1532.3937231182882.7062768817204
354745.3605.119529569893140.180470430107
355694.1582.348561827957111.751438172043
356675.7551.203400537634124.496599462366
357643.7534.096948924731109.603051075269
358622.1518.65501344086103.44498655914
359634.6540.72598118279693.8740188172044
360588543.1937231182844.8062768817205
361689.7616.45433467741973.2456653225807
362673.9626.35110887096847.5488911290322
363647.9604.08336693548443.8166330645161
364568.8565.1607862903233.6392137096774
365545.7544.6220766129031.07792338709678
366632.6617.34788306451615.2521169354839
367643.8594.57691532258149.2230846774194
368593.1563.43175403225829.668245967742
369579.7546.32530241935533.3746975806452
370546530.88336693548415.1166330645161
371562.9552.9543346774199.94566532258058
372572.5555.42207661290317.0779233870967

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 235.1 & 249.603729838709 & -14.5037298387093 \tabularnewline
2 & 280.7 & 259.500504032258 & 21.199495967742 \tabularnewline
3 & 264.6 & 237.232762096774 & 27.3672379032257 \tabularnewline
4 & 240.7 & 198.310181451613 & 42.389818548387 \tabularnewline
5 & 201.4 & 177.771471774194 & 23.6285282258065 \tabularnewline
6 & 240.8 & 250.497278225807 & -9.69727822580659 \tabularnewline
7 & 241.1 & 227.726310483871 & 13.3736895161289 \tabularnewline
8 & 223.8 & 196.581149193548 & 27.2188508064516 \tabularnewline
9 & 206.1 & 179.474697580645 & 26.6253024193549 \tabularnewline
10 & 174.7 & 164.032762096774 & 10.6672379032258 \tabularnewline
11 & 203.3 & 186.10372983871 & 17.1962701612903 \tabularnewline
12 & 220.5 & 188.571471774194 & 31.9285282258065 \tabularnewline
13 & 299.5 & 261.832083333333 & 37.6679166666668 \tabularnewline
14 & 347.4 & 271.728857526882 & 75.6711424731182 \tabularnewline
15 & 338.3 & 249.461115591398 & 88.8388844086022 \tabularnewline
16 & 327.7 & 210.538534946236 & 117.161465053763 \tabularnewline
17 & 351.6 & 189.999825268817 & 161.600174731183 \tabularnewline
18 & 396.6 & 262.72563172043 & 133.87436827957 \tabularnewline
19 & 438.8 & 239.954663978495 & 198.845336021505 \tabularnewline
20 & 395.6 & 208.809502688172 & 186.790497311828 \tabularnewline
21 & 363.5 & 191.703051075269 & 171.796948924731 \tabularnewline
22 & 378.8 & 176.261115591398 & 202.538884408602 \tabularnewline
23 & 357 & 198.332083333333 & 158.667916666667 \tabularnewline
24 & 369 & 200.799825268817 & 168.200174731183 \tabularnewline
25 & 464.8 & 274.060436827957 & 190.739563172043 \tabularnewline
26 & 479.1 & 283.957211021505 & 195.142788978495 \tabularnewline
27 & 431.3 & 261.689469086022 & 169.610530913979 \tabularnewline
28 & 366.5 & 222.76688844086 & 143.73311155914 \tabularnewline
29 & 326.3 & 202.228178763441 & 124.071821236559 \tabularnewline
30 & 355.1 & 274.953985215054 & 80.1460147849462 \tabularnewline
31 & 331.6 & 252.183017473118 & 79.4169825268817 \tabularnewline
32 & 261.3 & 221.037856182796 & 40.2621438172043 \tabularnewline
33 & 249 & 203.931404569892 & 45.0685954301075 \tabularnewline
34 & 205.5 & 188.489469086022 & 17.0105309139785 \tabularnewline
35 & 235.6 & 210.560436827957 & 25.039563172043 \tabularnewline
36 & 240.9 & 213.028178763441 & 27.8718212365591 \tabularnewline
37 & 264.9 & 286.288790322581 & -21.3887903225807 \tabularnewline
38 & 253.8 & 296.185564516129 & -42.3855645161291 \tabularnewline
39 & 232.3 & 273.917822580645 & -41.6178225806451 \tabularnewline
40 & 193.8 & 234.995241935484 & -41.1952419354838 \tabularnewline
41 & 177 & 214.456532258064 & -37.4565322580645 \tabularnewline
42 & 213.2 & 287.182338709677 & -73.9823387096774 \tabularnewline
43 & 207.2 & 264.411370967742 & -57.211370967742 \tabularnewline
44 & 180.6 & 233.266209677419 & -52.6662096774194 \tabularnewline
45 & 188.6 & 216.159758064516 & -27.5597580645162 \tabularnewline
46 & 175.4 & 200.717822580645 & -25.3178225806452 \tabularnewline
47 & 199 & 222.788790322581 & -23.7887903225807 \tabularnewline
48 & 179.6 & 225.256532258065 & -45.6565322580646 \tabularnewline
49 & 225.8 & 298.517143817204 & -72.7171438172043 \tabularnewline
50 & 234 & 308.413918010753 & -74.4139180107527 \tabularnewline
51 & 200.2 & 286.146176075269 & -85.9461760752688 \tabularnewline
52 & 183.6 & 247.223595430107 & -63.6235954301075 \tabularnewline
53 & 178.2 & 226.684885752688 & -48.4848857526882 \tabularnewline
54 & 203.2 & 299.410692204301 & -96.2106922043011 \tabularnewline
55 & 208.5 & 276.639724462366 & -68.1397244623656 \tabularnewline
56 & 191.8 & 245.494563172043 & -53.694563172043 \tabularnewline
57 & 172.8 & 228.38811155914 & -55.5881115591398 \tabularnewline
58 & 148 & 212.946176075269 & -64.9461760752688 \tabularnewline
59 & 159.4 & 235.017143817204 & -75.6171438172043 \tabularnewline
60 & 154.5 & 237.484885752688 & -82.9848857526882 \tabularnewline
61 & 213.2 & 310.745497311828 & -97.5454973118279 \tabularnewline
62 & 196.4 & 320.642271505376 & -124.242271505376 \tabularnewline
63 & 182.8 & 298.374529569892 & -115.574529569892 \tabularnewline
64 & 176.4 & 259.451948924731 & -83.0519489247311 \tabularnewline
65 & 153.6 & 238.913239247312 & -85.3132392473118 \tabularnewline
66 & 173.2 & 311.639045698925 & -138.439045698925 \tabularnewline
67 & 171 & 288.868077956989 & -117.868077956989 \tabularnewline
68 & 151.2 & 257.722916666667 & -106.522916666667 \tabularnewline
69 & 161.9 & 240.616465053763 & -78.7164650537635 \tabularnewline
70 & 157.2 & 225.174529569892 & -67.9745295698925 \tabularnewline
71 & 201.7 & 247.245497311828 & -45.545497311828 \tabularnewline
72 & 236.4 & 249.713239247312 & -13.3132392473118 \tabularnewline
73 & 356.1 & 322.973850806452 & 33.1261491935484 \tabularnewline
74 & 398.3 & 332.870625 & 65.429375 \tabularnewline
75 & 403.7 & 310.602883064516 & 93.0971169354839 \tabularnewline
76 & 384.6 & 271.680302419355 & 112.919697580645 \tabularnewline
77 & 365.8 & 251.141592741935 & 114.658407258065 \tabularnewline
78 & 368.1 & 323.867399193548 & 44.2326008064517 \tabularnewline
79 & 367.9 & 301.096431451613 & 66.8035685483871 \tabularnewline
80 & 347 & 269.95127016129 & 77.0487298387097 \tabularnewline
81 & 343.3 & 252.844818548387 & 90.4551814516129 \tabularnewline
82 & 292.9 & 237.402883064516 & 55.4971169354839 \tabularnewline
83 & 311.5 & 259.473850806452 & 52.0261491935484 \tabularnewline
84 & 300.9 & 261.941592741935 & 38.9584072580645 \tabularnewline
85 & 366.9 & 335.202204301075 & 31.6977956989247 \tabularnewline
86 & 356.9 & 345.098978494624 & 11.8010215053763 \tabularnewline
87 & 329.7 & 322.83123655914 & 6.86876344086024 \tabularnewline
88 & 316.2 & 283.908655913979 & 32.2913440860215 \tabularnewline
89 & 269 & 263.369946236559 & 5.63005376344091 \tabularnewline
90 & 289.3 & 336.095752688172 & -46.795752688172 \tabularnewline
91 & 266.2 & 313.324784946237 & -47.1247849462365 \tabularnewline
92 & 253.6 & 282.179623655914 & -28.579623655914 \tabularnewline
93 & 233.8 & 265.073172043011 & -31.2731720430107 \tabularnewline
94 & 228.4 & 249.63123655914 & -21.2312365591398 \tabularnewline
95 & 253.6 & 271.702204301075 & -18.1022043010753 \tabularnewline
96 & 260.1 & 274.169946236559 & -14.0699462365591 \tabularnewline
97 & 306.6 & 347.430557795699 & -40.8305577956989 \tabularnewline
98 & 309.2 & 357.327331989247 & -48.1273319892473 \tabularnewline
99 & 309.5 & 335.059590053763 & -25.5595900537634 \tabularnewline
100 & 271 & 296.137009408602 & -25.1370094086022 \tabularnewline
101 & 279.9 & 275.598299731183 & 4.30170026881722 \tabularnewline
102 & 317.9 & 348.324106182796 & -30.4241061827957 \tabularnewline
103 & 298.4 & 325.55313844086 & -27.1531384408602 \tabularnewline
104 & 246.7 & 294.407977150538 & -47.7079771505376 \tabularnewline
105 & 227.3 & 277.301525537634 & -50.0015255376344 \tabularnewline
106 & 209.1 & 261.859590053763 & -52.7595900537634 \tabularnewline
107 & 259.9 & 283.930557795699 & -24.0305577956989 \tabularnewline
108 & 266 & 286.398299731183 & -20.3982997311828 \tabularnewline
109 & 320.6 & 359.658911290323 & -39.0589112903226 \tabularnewline
110 & 308.5 & 369.555685483871 & -61.055685483871 \tabularnewline
111 & 282.2 & 347.287943548387 & -65.0879435483871 \tabularnewline
112 & 262.7 & 308.365362903226 & -45.6653629032258 \tabularnewline
113 & 263.5 & 287.826653225806 & -24.3266532258064 \tabularnewline
114 & 313.1 & 360.552459677419 & -47.4524596774193 \tabularnewline
115 & 284.3 & 337.781491935484 & -53.4814919354838 \tabularnewline
116 & 252.6 & 306.636330645161 & -54.0363306451613 \tabularnewline
117 & 250.3 & 289.529879032258 & -39.229879032258 \tabularnewline
118 & 246.5 & 274.087943548387 & -27.5879435483871 \tabularnewline
119 & 312.7 & 296.158911290323 & 16.5410887096774 \tabularnewline
120 & 333.2 & 298.626653225806 & 34.5733467741935 \tabularnewline
121 & 446.4 & 371.887264784946 & 74.5127352150537 \tabularnewline
122 & 511.6 & 381.784038978495 & 129.815961021505 \tabularnewline
123 & 515.5 & 359.516297043011 & 155.983702956989 \tabularnewline
124 & 506.4 & 320.59371639785 & 185.80628360215 \tabularnewline
125 & 483.2 & 300.05500672043 & 183.14499327957 \tabularnewline
126 & 522.3 & 372.780813172043 & 149.519186827957 \tabularnewline
127 & 509.8 & 350.009845430108 & 159.790154569892 \tabularnewline
128 & 460.7 & 318.864684139785 & 141.835315860215 \tabularnewline
129 & 405.8 & 301.758232526882 & 104.041767473118 \tabularnewline
130 & 375 & 286.316297043011 & 88.6837029569892 \tabularnewline
131 & 378.5 & 308.387264784946 & 70.1127352150537 \tabularnewline
132 & 406.8 & 310.85500672043 & 95.9449932795699 \tabularnewline
133 & 467.8 & 384.11561827957 & 83.6843817204301 \tabularnewline
134 & 469.8 & 394.012392473118 & 75.7876075268817 \tabularnewline
135 & 429.8 & 371.744650537634 & 58.0553494623656 \tabularnewline
136 & 355.8 & 332.822069892473 & 22.9779301075269 \tabularnewline
137 & 332.7 & 312.283360215054 & 20.4166397849463 \tabularnewline
138 & 378 & 385.009166666667 & -7.00916666666668 \tabularnewline
139 & 360.5 & 362.238198924731 & -1.73819892473119 \tabularnewline
140 & 334.7 & 331.093037634409 & 3.60696236559135 \tabularnewline
141 & 319.5 & 313.986586021505 & 5.5134139784946 \tabularnewline
142 & 323.1 & 298.544650537634 & 24.5553494623656 \tabularnewline
143 & 363.6 & 320.61561827957 & 42.9843817204301 \tabularnewline
144 & 352.1 & 323.083360215054 & 29.0166397849462 \tabularnewline
145 & 411.9 & 396.343971774194 & 15.5560282258064 \tabularnewline
146 & 388.6 & 406.240745967742 & -17.6407459677419 \tabularnewline
147 & 416.4 & 383.973004032258 & 32.4269959677419 \tabularnewline
148 & 360.7 & 345.050423387097 & 15.6495766129032 \tabularnewline
149 & 338 & 324.511713709677 & 13.4882862903226 \tabularnewline
150 & 417.2 & 397.23752016129 & 19.9624798387097 \tabularnewline
151 & 388.4 & 374.466552419355 & 13.9334475806451 \tabularnewline
152 & 371.1 & 343.321391129032 & 27.7786088709677 \tabularnewline
153 & 331.5 & 326.214939516129 & 5.28506048387095 \tabularnewline
154 & 353.7 & 310.773004032258 & 42.9269959677419 \tabularnewline
155 & 396.7 & 332.843971774194 & 63.8560282258064 \tabularnewline
156 & 447 & 335.311713709677 & 111.688286290323 \tabularnewline
157 & 533.5 & 408.572325268817 & 124.927674731183 \tabularnewline
158 & 565.4 & 418.469099462366 & 146.930900537634 \tabularnewline
159 & 542.3 & 396.201357526882 & 146.098642473118 \tabularnewline
160 & 488.7 & 357.27877688172 & 131.42122311828 \tabularnewline
161 & 467.1 & 336.740067204301 & 130.359932795699 \tabularnewline
162 & 531.3 & 409.465873655914 & 121.834126344086 \tabularnewline
163 & 496.1 & 386.694905913979 & 109.405094086022 \tabularnewline
164 & 444 & 355.549744623656 & 88.4502553763441 \tabularnewline
165 & 403.4 & 338.443293010753 & 64.9567069892473 \tabularnewline
166 & 386.3 & 323.001357526882 & 63.2986424731183 \tabularnewline
167 & 394.1 & 345.072325268817 & 49.0276747311828 \tabularnewline
168 & 404.1 & 347.540067204301 & 56.5599327956989 \tabularnewline
169 & 462.1 & 420.800678763441 & 41.2993212365591 \tabularnewline
170 & 448.1 & 430.697452956989 & 17.4025470430108 \tabularnewline
171 & 432.3 & 408.429711021505 & 23.8702889784946 \tabularnewline
172 & 386.3 & 369.507130376344 & 16.7928696236559 \tabularnewline
173 & 395.2 & 348.968420698925 & 46.2315793010753 \tabularnewline
174 & 421.9 & 421.694227150538 & 0.205772849462341 \tabularnewline
175 & 382.9 & 398.923259408602 & -16.0232594086022 \tabularnewline
176 & 384.2 & 367.77809811828 & 16.4219018817204 \tabularnewline
177 & 345.5 & 350.671646505376 & -5.17164650537637 \tabularnewline
178 & 323.4 & 335.229711021505 & -11.8297110215054 \tabularnewline
179 & 372.6 & 357.300678763441 & 15.2993212365591 \tabularnewline
180 & 376 & 359.768420698925 & 16.2315793010752 \tabularnewline
181 & 462.7 & 433.029032258065 & 29.6709677419354 \tabularnewline
182 & 487 & 442.925806451613 & 44.0741935483871 \tabularnewline
183 & 444.2 & 420.658064516129 & 23.541935483871 \tabularnewline
184 & 399.3 & 381.735483870968 & 17.5645161290323 \tabularnewline
185 & 394.9 & 361.196774193548 & 33.7032258064516 \tabularnewline
186 & 455.4 & 433.922580645161 & 21.4774193548387 \tabularnewline
187 & 414 & 411.151612903226 & 2.8483870967742 \tabularnewline
188 & 375.5 & 380.006451612903 & -4.50645161290326 \tabularnewline
189 & 347 & 362.9 & -15.9 \tabularnewline
190 & 339.4 & 347.458064516129 & -8.05806451612905 \tabularnewline
191 & 385.8 & 369.529032258065 & 16.2709677419355 \tabularnewline
192 & 378.8 & 371.996774193548 & 6.80322580645159 \tabularnewline
193 & 451.8 & 445.257385752688 & 6.5426142473118 \tabularnewline
194 & 446.1 & 455.154159946237 & -9.05415994623654 \tabularnewline
195 & 422.5 & 432.886418010753 & -10.3864180107527 \tabularnewline
196 & 383.1 & 393.963837365591 & -10.8638373655914 \tabularnewline
197 & 352.8 & 373.425127688172 & -20.625127688172 \tabularnewline
198 & 445.3 & 446.150934139785 & -0.850934139784941 \tabularnewline
199 & 367.5 & 423.379966397849 & -55.8799663978495 \tabularnewline
200 & 355.1 & 392.234805107527 & -37.1348051075269 \tabularnewline
201 & 326.2 & 375.128353494624 & -48.9283534946237 \tabularnewline
202 & 319.8 & 359.686418010753 & -39.8864180107527 \tabularnewline
203 & 331.8 & 381.757385752688 & -49.9573857526882 \tabularnewline
204 & 340.9 & 384.225127688172 & -43.3251276881721 \tabularnewline
205 & 394.1 & 457.485739247312 & -63.3857392473119 \tabularnewline
206 & 417.2 & 467.38251344086 & -50.1825134408602 \tabularnewline
207 & 369.9 & 445.114771505376 & -75.2147715053764 \tabularnewline
208 & 349.2 & 406.192190860215 & -56.9921908602151 \tabularnewline
209 & 321.4 & 385.653481182796 & -64.2534811827957 \tabularnewline
210 & 405.7 & 458.379287634409 & -52.6792876344086 \tabularnewline
211 & 342.9 & 435.608319892473 & -92.7083198924732 \tabularnewline
212 & 316.5 & 404.463158602151 & -87.9631586021506 \tabularnewline
213 & 284.2 & 387.356706989247 & -103.156706989247 \tabularnewline
214 & 270.9 & 371.914771505376 & -101.014771505376 \tabularnewline
215 & 288.8 & 393.985739247312 & -105.185739247312 \tabularnewline
216 & 278.8 & 396.453481182796 & -117.653481182796 \tabularnewline
217 & 324.4 & 469.714092741935 & -145.314092741936 \tabularnewline
218 & 310.9 & 479.610866935484 & -168.710866935484 \tabularnewline
219 & 299 & 457.343125 & -158.343125 \tabularnewline
220 & 273 & 418.420544354839 & -145.420544354839 \tabularnewline
221 & 279.3 & 397.881834677419 & -118.581834677419 \tabularnewline
222 & 359.2 & 470.607641129032 & -111.407641129032 \tabularnewline
223 & 305 & 447.836673387097 & -142.836673387097 \tabularnewline
224 & 282.1 & 416.691512096774 & -134.591512096774 \tabularnewline
225 & 250.3 & 399.585060483871 & -149.285060483871 \tabularnewline
226 & 246.5 & 384.143125 & -137.643125 \tabularnewline
227 & 257.9 & 406.214092741935 & -148.314092741935 \tabularnewline
228 & 266.5 & 408.681834677419 & -142.181834677419 \tabularnewline
229 & 315.9 & 481.942446236559 & -166.042446236559 \tabularnewline
230 & 318.4 & 491.839220430108 & -173.439220430107 \tabularnewline
231 & 295.4 & 469.571478494624 & -174.171478494624 \tabularnewline
232 & 266.4 & 430.648897849462 & -164.248897849462 \tabularnewline
233 & 245.8 & 410.110188172043 & -164.310188172043 \tabularnewline
234 & 362.8 & 482.835994623656 & -120.035994623656 \tabularnewline
235 & 324.9 & 460.06502688172 & -135.16502688172 \tabularnewline
236 & 294.2 & 428.919865591398 & -134.719865591398 \tabularnewline
237 & 289.5 & 411.813413978495 & -122.313413978495 \tabularnewline
238 & 295.2 & 396.371478494624 & -101.171478494624 \tabularnewline
239 & 290.3 & 418.442446236559 & -128.142446236559 \tabularnewline
240 & 272 & 420.910188172043 & -148.910188172043 \tabularnewline
241 & 307.4 & 494.170799731183 & -186.770799731183 \tabularnewline
242 & 328.7 & 504.067573924731 & -175.367573924731 \tabularnewline
243 & 292.9 & 481.799831989247 & -188.899831989247 \tabularnewline
244 & 249.1 & 442.877251344086 & -193.777251344086 \tabularnewline
245 & 230.4 & 422.338541666667 & -191.938541666667 \tabularnewline
246 & 361.5 & 495.06434811828 & -133.56434811828 \tabularnewline
247 & 321.7 & 472.293380376344 & -150.593380376344 \tabularnewline
248 & 277.2 & 441.148219086022 & -163.948219086022 \tabularnewline
249 & 260.7 & 424.041767473118 & -163.341767473118 \tabularnewline
250 & 251 & 408.599831989247 & -157.599831989247 \tabularnewline
251 & 257.6 & 430.670799731183 & -173.070799731183 \tabularnewline
252 & 241.8 & 433.138541666667 & -191.338541666667 \tabularnewline
253 & 287.5 & 506.399153225806 & -218.899153225806 \tabularnewline
254 & 292.3 & 516.295927419355 & -223.995927419355 \tabularnewline
255 & 274.7 & 494.028185483871 & -219.328185483871 \tabularnewline
256 & 254.2 & 455.10560483871 & -200.90560483871 \tabularnewline
257 & 230 & 434.56689516129 & -204.56689516129 \tabularnewline
258 & 339 & 507.292701612903 & -168.292701612903 \tabularnewline
259 & 318.2 & 484.521733870968 & -166.321733870968 \tabularnewline
260 & 287 & 453.376572580645 & -166.376572580645 \tabularnewline
261 & 295.8 & 436.270120967742 & -140.470120967742 \tabularnewline
262 & 284 & 420.828185483871 & -136.828185483871 \tabularnewline
263 & 271 & 442.899153225806 & -171.899153225806 \tabularnewline
264 & 262.7 & 445.36689516129 & -182.66689516129 \tabularnewline
265 & 340.6 & 518.62750672043 & -178.02750672043 \tabularnewline
266 & 379.4 & 528.524280913978 & -149.124280913979 \tabularnewline
267 & 373.3 & 506.256538978495 & -132.956538978495 \tabularnewline
268 & 355.2 & 467.333958333333 & -112.133958333333 \tabularnewline
269 & 338.4 & 446.795248655914 & -108.395248655914 \tabularnewline
270 & 466.9 & 519.521055107527 & -52.6210551075269 \tabularnewline
271 & 451 & 496.750087365591 & -45.7500873655914 \tabularnewline
272 & 422 & 465.604926075269 & -43.6049260752688 \tabularnewline
273 & 429.2 & 448.498474462366 & -19.2984744623656 \tabularnewline
274 & 425.9 & 433.056538978495 & -7.15653897849465 \tabularnewline
275 & 460.7 & 455.12750672043 & 5.57249327956986 \tabularnewline
276 & 463.6 & 457.595248655914 & 6.00475134408602 \tabularnewline
277 & 541.4 & 530.855860215054 & 10.5441397849462 \tabularnewline
278 & 544.2 & 540.752634408602 & 3.44736559139788 \tabularnewline
279 & 517.5 & 518.484892473118 & -0.984892473118272 \tabularnewline
280 & 469.4 & 479.562311827957 & -10.162311827957 \tabularnewline
281 & 439.4 & 459.023602150538 & -19.6236021505376 \tabularnewline
282 & 549 & 531.749408602151 & 17.2505913978495 \tabularnewline
283 & 533 & 508.978440860215 & 24.021559139785 \tabularnewline
284 & 506.1 & 477.833279569893 & 28.2667204301075 \tabularnewline
285 & 484 & 460.726827956989 & 23.2731720430108 \tabularnewline
286 & 457 & 445.284892473118 & 11.7151075268817 \tabularnewline
287 & 481.5 & 467.355860215054 & 14.1441397849462 \tabularnewline
288 & 469.5 & 469.823602150538 & -0.323602150537605 \tabularnewline
289 & 544.7 & 543.084213709677 & 1.61578629032258 \tabularnewline
290 & 541.2 & 552.980987903226 & -11.7809879032258 \tabularnewline
291 & 521.5 & 530.713245967742 & -9.21324596774194 \tabularnewline
292 & 469.7 & 491.790665322581 & -22.0906653225807 \tabularnewline
293 & 434.4 & 471.251955645161 & -36.8519556451613 \tabularnewline
294 & 542.6 & 543.977762096774 & -1.37776209677414 \tabularnewline
295 & 517.3 & 521.206794354839 & -3.90679435483875 \tabularnewline
296 & 485.7 & 490.061633064516 & -4.36163306451613 \tabularnewline
297 & 465.8 & 472.955181451613 & -7.15518145161287 \tabularnewline
298 & 447 & 457.513245967742 & -10.5132459677419 \tabularnewline
299 & 426.6 & 479.584213709677 & -52.9842137096774 \tabularnewline
300 & 411.6 & 482.051955645161 & -70.4519556451612 \tabularnewline
301 & 467.5 & 555.312567204301 & -87.8125672043011 \tabularnewline
302 & 484.5 & 565.209341397849 & -80.7093413978495 \tabularnewline
303 & 451.2 & 542.941599462366 & -91.7415994623656 \tabularnewline
304 & 417.4 & 504.019018817204 & -86.6190188172043 \tabularnewline
305 & 379.9 & 483.480309139785 & -103.580309139785 \tabularnewline
306 & 484.7 & 556.206115591398 & -71.5061155913979 \tabularnewline
307 & 455 & 533.435147849462 & -78.4351478494624 \tabularnewline
308 & 420.8 & 502.28998655914 & -81.4899865591398 \tabularnewline
309 & 416.5 & 485.183534946237 & -68.6835349462366 \tabularnewline
310 & 376.3 & 469.741599462366 & -93.4415994623656 \tabularnewline
311 & 405.6 & 491.812567204301 & -86.2125672043011 \tabularnewline
312 & 405.8 & 494.280309139785 & -88.4803091397849 \tabularnewline
313 & 500.8 & 567.540920698925 & -66.7409206989248 \tabularnewline
314 & 514 & 577.437694892473 & -63.4376948924732 \tabularnewline
315 & 475.5 & 555.169952956989 & -79.6699529569893 \tabularnewline
316 & 430.1 & 516.247372311828 & -86.147372311828 \tabularnewline
317 & 414.4 & 495.708662634409 & -81.3086626344087 \tabularnewline
318 & 538 & 568.434469086022 & -30.4344690860216 \tabularnewline
319 & 526 & 545.663501344086 & -19.6635013440861 \tabularnewline
320 & 488.5 & 514.518340053763 & -26.0183400537634 \tabularnewline
321 & 520.2 & 497.41188844086 & 22.7881115591398 \tabularnewline
322 & 504.4 & 481.969952956989 & 22.4300470430107 \tabularnewline
323 & 568.5 & 504.040920698925 & 64.4590793010752 \tabularnewline
324 & 610.6 & 506.508662634409 & 104.091337365591 \tabularnewline
325 & 818 & 579.769274193548 & 238.230725806452 \tabularnewline
326 & 830.9 & 589.666048387097 & 241.233951612903 \tabularnewline
327 & 835.9 & 567.398306451613 & 268.501693548387 \tabularnewline
328 & 782 & 528.475725806451 & 253.524274193548 \tabularnewline
329 & 762.3 & 507.937016129032 & 254.362983870968 \tabularnewline
330 & 856.9 & 580.662822580645 & 276.237177419355 \tabularnewline
331 & 820.9 & 557.89185483871 & 263.00814516129 \tabularnewline
332 & 769.6 & 526.746693548387 & 242.853306451613 \tabularnewline
333 & 752.2 & 509.640241935484 & 242.559758064516 \tabularnewline
334 & 724.4 & 494.198306451613 & 230.201693548387 \tabularnewline
335 & 723.1 & 516.269274193548 & 206.830725806452 \tabularnewline
336 & 719.5 & 518.737016129032 & 200.762983870968 \tabularnewline
337 & 817.4 & 591.997627688172 & 225.402372311828 \tabularnewline
338 & 803.3 & 601.89440188172 & 201.405598118279 \tabularnewline
339 & 752.5 & 579.626659946237 & 172.873340053763 \tabularnewline
340 & 689 & 540.704079301075 & 148.295920698925 \tabularnewline
341 & 630.4 & 520.165369623656 & 110.234630376344 \tabularnewline
342 & 765.5 & 592.891176075269 & 172.608823924731 \tabularnewline
343 & 757.7 & 570.120208333333 & 187.579791666667 \tabularnewline
344 & 732.2 & 538.975047043011 & 193.224952956989 \tabularnewline
345 & 702.6 & 521.868595430107 & 180.731404569893 \tabularnewline
346 & 683.3 & 506.426659946236 & 176.873340053763 \tabularnewline
347 & 709.5 & 528.497627688172 & 181.002372311828 \tabularnewline
348 & 702.2 & 530.965369623656 & 171.234630376344 \tabularnewline
349 & 784.8 & 604.225981182796 & 180.574018817204 \tabularnewline
350 & 810.9 & 614.122755376344 & 196.777244623656 \tabularnewline
351 & 755.6 & 591.85501344086 & 163.74498655914 \tabularnewline
352 & 656.8 & 552.932432795699 & 103.867567204301 \tabularnewline
353 & 615.1 & 532.39372311828 & 82.7062768817204 \tabularnewline
354 & 745.3 & 605.119529569893 & 140.180470430107 \tabularnewline
355 & 694.1 & 582.348561827957 & 111.751438172043 \tabularnewline
356 & 675.7 & 551.203400537634 & 124.496599462366 \tabularnewline
357 & 643.7 & 534.096948924731 & 109.603051075269 \tabularnewline
358 & 622.1 & 518.65501344086 & 103.44498655914 \tabularnewline
359 & 634.6 & 540.725981182796 & 93.8740188172044 \tabularnewline
360 & 588 & 543.19372311828 & 44.8062768817205 \tabularnewline
361 & 689.7 & 616.454334677419 & 73.2456653225807 \tabularnewline
362 & 673.9 & 626.351108870968 & 47.5488911290322 \tabularnewline
363 & 647.9 & 604.083366935484 & 43.8166330645161 \tabularnewline
364 & 568.8 & 565.160786290323 & 3.6392137096774 \tabularnewline
365 & 545.7 & 544.622076612903 & 1.07792338709678 \tabularnewline
366 & 632.6 & 617.347883064516 & 15.2521169354839 \tabularnewline
367 & 643.8 & 594.576915322581 & 49.2230846774194 \tabularnewline
368 & 593.1 & 563.431754032258 & 29.668245967742 \tabularnewline
369 & 579.7 & 546.325302419355 & 33.3746975806452 \tabularnewline
370 & 546 & 530.883366935484 & 15.1166330645161 \tabularnewline
371 & 562.9 & 552.954334677419 & 9.94566532258058 \tabularnewline
372 & 572.5 & 555.422076612903 & 17.0779233870967 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=187301&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]235.1[/C][C]249.603729838709[/C][C]-14.5037298387093[/C][/ROW]
[ROW][C]2[/C][C]280.7[/C][C]259.500504032258[/C][C]21.199495967742[/C][/ROW]
[ROW][C]3[/C][C]264.6[/C][C]237.232762096774[/C][C]27.3672379032257[/C][/ROW]
[ROW][C]4[/C][C]240.7[/C][C]198.310181451613[/C][C]42.389818548387[/C][/ROW]
[ROW][C]5[/C][C]201.4[/C][C]177.771471774194[/C][C]23.6285282258065[/C][/ROW]
[ROW][C]6[/C][C]240.8[/C][C]250.497278225807[/C][C]-9.69727822580659[/C][/ROW]
[ROW][C]7[/C][C]241.1[/C][C]227.726310483871[/C][C]13.3736895161289[/C][/ROW]
[ROW][C]8[/C][C]223.8[/C][C]196.581149193548[/C][C]27.2188508064516[/C][/ROW]
[ROW][C]9[/C][C]206.1[/C][C]179.474697580645[/C][C]26.6253024193549[/C][/ROW]
[ROW][C]10[/C][C]174.7[/C][C]164.032762096774[/C][C]10.6672379032258[/C][/ROW]
[ROW][C]11[/C][C]203.3[/C][C]186.10372983871[/C][C]17.1962701612903[/C][/ROW]
[ROW][C]12[/C][C]220.5[/C][C]188.571471774194[/C][C]31.9285282258065[/C][/ROW]
[ROW][C]13[/C][C]299.5[/C][C]261.832083333333[/C][C]37.6679166666668[/C][/ROW]
[ROW][C]14[/C][C]347.4[/C][C]271.728857526882[/C][C]75.6711424731182[/C][/ROW]
[ROW][C]15[/C][C]338.3[/C][C]249.461115591398[/C][C]88.8388844086022[/C][/ROW]
[ROW][C]16[/C][C]327.7[/C][C]210.538534946236[/C][C]117.161465053763[/C][/ROW]
[ROW][C]17[/C][C]351.6[/C][C]189.999825268817[/C][C]161.600174731183[/C][/ROW]
[ROW][C]18[/C][C]396.6[/C][C]262.72563172043[/C][C]133.87436827957[/C][/ROW]
[ROW][C]19[/C][C]438.8[/C][C]239.954663978495[/C][C]198.845336021505[/C][/ROW]
[ROW][C]20[/C][C]395.6[/C][C]208.809502688172[/C][C]186.790497311828[/C][/ROW]
[ROW][C]21[/C][C]363.5[/C][C]191.703051075269[/C][C]171.796948924731[/C][/ROW]
[ROW][C]22[/C][C]378.8[/C][C]176.261115591398[/C][C]202.538884408602[/C][/ROW]
[ROW][C]23[/C][C]357[/C][C]198.332083333333[/C][C]158.667916666667[/C][/ROW]
[ROW][C]24[/C][C]369[/C][C]200.799825268817[/C][C]168.200174731183[/C][/ROW]
[ROW][C]25[/C][C]464.8[/C][C]274.060436827957[/C][C]190.739563172043[/C][/ROW]
[ROW][C]26[/C][C]479.1[/C][C]283.957211021505[/C][C]195.142788978495[/C][/ROW]
[ROW][C]27[/C][C]431.3[/C][C]261.689469086022[/C][C]169.610530913979[/C][/ROW]
[ROW][C]28[/C][C]366.5[/C][C]222.76688844086[/C][C]143.73311155914[/C][/ROW]
[ROW][C]29[/C][C]326.3[/C][C]202.228178763441[/C][C]124.071821236559[/C][/ROW]
[ROW][C]30[/C][C]355.1[/C][C]274.953985215054[/C][C]80.1460147849462[/C][/ROW]
[ROW][C]31[/C][C]331.6[/C][C]252.183017473118[/C][C]79.4169825268817[/C][/ROW]
[ROW][C]32[/C][C]261.3[/C][C]221.037856182796[/C][C]40.2621438172043[/C][/ROW]
[ROW][C]33[/C][C]249[/C][C]203.931404569892[/C][C]45.0685954301075[/C][/ROW]
[ROW][C]34[/C][C]205.5[/C][C]188.489469086022[/C][C]17.0105309139785[/C][/ROW]
[ROW][C]35[/C][C]235.6[/C][C]210.560436827957[/C][C]25.039563172043[/C][/ROW]
[ROW][C]36[/C][C]240.9[/C][C]213.028178763441[/C][C]27.8718212365591[/C][/ROW]
[ROW][C]37[/C][C]264.9[/C][C]286.288790322581[/C][C]-21.3887903225807[/C][/ROW]
[ROW][C]38[/C][C]253.8[/C][C]296.185564516129[/C][C]-42.3855645161291[/C][/ROW]
[ROW][C]39[/C][C]232.3[/C][C]273.917822580645[/C][C]-41.6178225806451[/C][/ROW]
[ROW][C]40[/C][C]193.8[/C][C]234.995241935484[/C][C]-41.1952419354838[/C][/ROW]
[ROW][C]41[/C][C]177[/C][C]214.456532258064[/C][C]-37.4565322580645[/C][/ROW]
[ROW][C]42[/C][C]213.2[/C][C]287.182338709677[/C][C]-73.9823387096774[/C][/ROW]
[ROW][C]43[/C][C]207.2[/C][C]264.411370967742[/C][C]-57.211370967742[/C][/ROW]
[ROW][C]44[/C][C]180.6[/C][C]233.266209677419[/C][C]-52.6662096774194[/C][/ROW]
[ROW][C]45[/C][C]188.6[/C][C]216.159758064516[/C][C]-27.5597580645162[/C][/ROW]
[ROW][C]46[/C][C]175.4[/C][C]200.717822580645[/C][C]-25.3178225806452[/C][/ROW]
[ROW][C]47[/C][C]199[/C][C]222.788790322581[/C][C]-23.7887903225807[/C][/ROW]
[ROW][C]48[/C][C]179.6[/C][C]225.256532258065[/C][C]-45.6565322580646[/C][/ROW]
[ROW][C]49[/C][C]225.8[/C][C]298.517143817204[/C][C]-72.7171438172043[/C][/ROW]
[ROW][C]50[/C][C]234[/C][C]308.413918010753[/C][C]-74.4139180107527[/C][/ROW]
[ROW][C]51[/C][C]200.2[/C][C]286.146176075269[/C][C]-85.9461760752688[/C][/ROW]
[ROW][C]52[/C][C]183.6[/C][C]247.223595430107[/C][C]-63.6235954301075[/C][/ROW]
[ROW][C]53[/C][C]178.2[/C][C]226.684885752688[/C][C]-48.4848857526882[/C][/ROW]
[ROW][C]54[/C][C]203.2[/C][C]299.410692204301[/C][C]-96.2106922043011[/C][/ROW]
[ROW][C]55[/C][C]208.5[/C][C]276.639724462366[/C][C]-68.1397244623656[/C][/ROW]
[ROW][C]56[/C][C]191.8[/C][C]245.494563172043[/C][C]-53.694563172043[/C][/ROW]
[ROW][C]57[/C][C]172.8[/C][C]228.38811155914[/C][C]-55.5881115591398[/C][/ROW]
[ROW][C]58[/C][C]148[/C][C]212.946176075269[/C][C]-64.9461760752688[/C][/ROW]
[ROW][C]59[/C][C]159.4[/C][C]235.017143817204[/C][C]-75.6171438172043[/C][/ROW]
[ROW][C]60[/C][C]154.5[/C][C]237.484885752688[/C][C]-82.9848857526882[/C][/ROW]
[ROW][C]61[/C][C]213.2[/C][C]310.745497311828[/C][C]-97.5454973118279[/C][/ROW]
[ROW][C]62[/C][C]196.4[/C][C]320.642271505376[/C][C]-124.242271505376[/C][/ROW]
[ROW][C]63[/C][C]182.8[/C][C]298.374529569892[/C][C]-115.574529569892[/C][/ROW]
[ROW][C]64[/C][C]176.4[/C][C]259.451948924731[/C][C]-83.0519489247311[/C][/ROW]
[ROW][C]65[/C][C]153.6[/C][C]238.913239247312[/C][C]-85.3132392473118[/C][/ROW]
[ROW][C]66[/C][C]173.2[/C][C]311.639045698925[/C][C]-138.439045698925[/C][/ROW]
[ROW][C]67[/C][C]171[/C][C]288.868077956989[/C][C]-117.868077956989[/C][/ROW]
[ROW][C]68[/C][C]151.2[/C][C]257.722916666667[/C][C]-106.522916666667[/C][/ROW]
[ROW][C]69[/C][C]161.9[/C][C]240.616465053763[/C][C]-78.7164650537635[/C][/ROW]
[ROW][C]70[/C][C]157.2[/C][C]225.174529569892[/C][C]-67.9745295698925[/C][/ROW]
[ROW][C]71[/C][C]201.7[/C][C]247.245497311828[/C][C]-45.545497311828[/C][/ROW]
[ROW][C]72[/C][C]236.4[/C][C]249.713239247312[/C][C]-13.3132392473118[/C][/ROW]
[ROW][C]73[/C][C]356.1[/C][C]322.973850806452[/C][C]33.1261491935484[/C][/ROW]
[ROW][C]74[/C][C]398.3[/C][C]332.870625[/C][C]65.429375[/C][/ROW]
[ROW][C]75[/C][C]403.7[/C][C]310.602883064516[/C][C]93.0971169354839[/C][/ROW]
[ROW][C]76[/C][C]384.6[/C][C]271.680302419355[/C][C]112.919697580645[/C][/ROW]
[ROW][C]77[/C][C]365.8[/C][C]251.141592741935[/C][C]114.658407258065[/C][/ROW]
[ROW][C]78[/C][C]368.1[/C][C]323.867399193548[/C][C]44.2326008064517[/C][/ROW]
[ROW][C]79[/C][C]367.9[/C][C]301.096431451613[/C][C]66.8035685483871[/C][/ROW]
[ROW][C]80[/C][C]347[/C][C]269.95127016129[/C][C]77.0487298387097[/C][/ROW]
[ROW][C]81[/C][C]343.3[/C][C]252.844818548387[/C][C]90.4551814516129[/C][/ROW]
[ROW][C]82[/C][C]292.9[/C][C]237.402883064516[/C][C]55.4971169354839[/C][/ROW]
[ROW][C]83[/C][C]311.5[/C][C]259.473850806452[/C][C]52.0261491935484[/C][/ROW]
[ROW][C]84[/C][C]300.9[/C][C]261.941592741935[/C][C]38.9584072580645[/C][/ROW]
[ROW][C]85[/C][C]366.9[/C][C]335.202204301075[/C][C]31.6977956989247[/C][/ROW]
[ROW][C]86[/C][C]356.9[/C][C]345.098978494624[/C][C]11.8010215053763[/C][/ROW]
[ROW][C]87[/C][C]329.7[/C][C]322.83123655914[/C][C]6.86876344086024[/C][/ROW]
[ROW][C]88[/C][C]316.2[/C][C]283.908655913979[/C][C]32.2913440860215[/C][/ROW]
[ROW][C]89[/C][C]269[/C][C]263.369946236559[/C][C]5.63005376344091[/C][/ROW]
[ROW][C]90[/C][C]289.3[/C][C]336.095752688172[/C][C]-46.795752688172[/C][/ROW]
[ROW][C]91[/C][C]266.2[/C][C]313.324784946237[/C][C]-47.1247849462365[/C][/ROW]
[ROW][C]92[/C][C]253.6[/C][C]282.179623655914[/C][C]-28.579623655914[/C][/ROW]
[ROW][C]93[/C][C]233.8[/C][C]265.073172043011[/C][C]-31.2731720430107[/C][/ROW]
[ROW][C]94[/C][C]228.4[/C][C]249.63123655914[/C][C]-21.2312365591398[/C][/ROW]
[ROW][C]95[/C][C]253.6[/C][C]271.702204301075[/C][C]-18.1022043010753[/C][/ROW]
[ROW][C]96[/C][C]260.1[/C][C]274.169946236559[/C][C]-14.0699462365591[/C][/ROW]
[ROW][C]97[/C][C]306.6[/C][C]347.430557795699[/C][C]-40.8305577956989[/C][/ROW]
[ROW][C]98[/C][C]309.2[/C][C]357.327331989247[/C][C]-48.1273319892473[/C][/ROW]
[ROW][C]99[/C][C]309.5[/C][C]335.059590053763[/C][C]-25.5595900537634[/C][/ROW]
[ROW][C]100[/C][C]271[/C][C]296.137009408602[/C][C]-25.1370094086022[/C][/ROW]
[ROW][C]101[/C][C]279.9[/C][C]275.598299731183[/C][C]4.30170026881722[/C][/ROW]
[ROW][C]102[/C][C]317.9[/C][C]348.324106182796[/C][C]-30.4241061827957[/C][/ROW]
[ROW][C]103[/C][C]298.4[/C][C]325.55313844086[/C][C]-27.1531384408602[/C][/ROW]
[ROW][C]104[/C][C]246.7[/C][C]294.407977150538[/C][C]-47.7079771505376[/C][/ROW]
[ROW][C]105[/C][C]227.3[/C][C]277.301525537634[/C][C]-50.0015255376344[/C][/ROW]
[ROW][C]106[/C][C]209.1[/C][C]261.859590053763[/C][C]-52.7595900537634[/C][/ROW]
[ROW][C]107[/C][C]259.9[/C][C]283.930557795699[/C][C]-24.0305577956989[/C][/ROW]
[ROW][C]108[/C][C]266[/C][C]286.398299731183[/C][C]-20.3982997311828[/C][/ROW]
[ROW][C]109[/C][C]320.6[/C][C]359.658911290323[/C][C]-39.0589112903226[/C][/ROW]
[ROW][C]110[/C][C]308.5[/C][C]369.555685483871[/C][C]-61.055685483871[/C][/ROW]
[ROW][C]111[/C][C]282.2[/C][C]347.287943548387[/C][C]-65.0879435483871[/C][/ROW]
[ROW][C]112[/C][C]262.7[/C][C]308.365362903226[/C][C]-45.6653629032258[/C][/ROW]
[ROW][C]113[/C][C]263.5[/C][C]287.826653225806[/C][C]-24.3266532258064[/C][/ROW]
[ROW][C]114[/C][C]313.1[/C][C]360.552459677419[/C][C]-47.4524596774193[/C][/ROW]
[ROW][C]115[/C][C]284.3[/C][C]337.781491935484[/C][C]-53.4814919354838[/C][/ROW]
[ROW][C]116[/C][C]252.6[/C][C]306.636330645161[/C][C]-54.0363306451613[/C][/ROW]
[ROW][C]117[/C][C]250.3[/C][C]289.529879032258[/C][C]-39.229879032258[/C][/ROW]
[ROW][C]118[/C][C]246.5[/C][C]274.087943548387[/C][C]-27.5879435483871[/C][/ROW]
[ROW][C]119[/C][C]312.7[/C][C]296.158911290323[/C][C]16.5410887096774[/C][/ROW]
[ROW][C]120[/C][C]333.2[/C][C]298.626653225806[/C][C]34.5733467741935[/C][/ROW]
[ROW][C]121[/C][C]446.4[/C][C]371.887264784946[/C][C]74.5127352150537[/C][/ROW]
[ROW][C]122[/C][C]511.6[/C][C]381.784038978495[/C][C]129.815961021505[/C][/ROW]
[ROW][C]123[/C][C]515.5[/C][C]359.516297043011[/C][C]155.983702956989[/C][/ROW]
[ROW][C]124[/C][C]506.4[/C][C]320.59371639785[/C][C]185.80628360215[/C][/ROW]
[ROW][C]125[/C][C]483.2[/C][C]300.05500672043[/C][C]183.14499327957[/C][/ROW]
[ROW][C]126[/C][C]522.3[/C][C]372.780813172043[/C][C]149.519186827957[/C][/ROW]
[ROW][C]127[/C][C]509.8[/C][C]350.009845430108[/C][C]159.790154569892[/C][/ROW]
[ROW][C]128[/C][C]460.7[/C][C]318.864684139785[/C][C]141.835315860215[/C][/ROW]
[ROW][C]129[/C][C]405.8[/C][C]301.758232526882[/C][C]104.041767473118[/C][/ROW]
[ROW][C]130[/C][C]375[/C][C]286.316297043011[/C][C]88.6837029569892[/C][/ROW]
[ROW][C]131[/C][C]378.5[/C][C]308.387264784946[/C][C]70.1127352150537[/C][/ROW]
[ROW][C]132[/C][C]406.8[/C][C]310.85500672043[/C][C]95.9449932795699[/C][/ROW]
[ROW][C]133[/C][C]467.8[/C][C]384.11561827957[/C][C]83.6843817204301[/C][/ROW]
[ROW][C]134[/C][C]469.8[/C][C]394.012392473118[/C][C]75.7876075268817[/C][/ROW]
[ROW][C]135[/C][C]429.8[/C][C]371.744650537634[/C][C]58.0553494623656[/C][/ROW]
[ROW][C]136[/C][C]355.8[/C][C]332.822069892473[/C][C]22.9779301075269[/C][/ROW]
[ROW][C]137[/C][C]332.7[/C][C]312.283360215054[/C][C]20.4166397849463[/C][/ROW]
[ROW][C]138[/C][C]378[/C][C]385.009166666667[/C][C]-7.00916666666668[/C][/ROW]
[ROW][C]139[/C][C]360.5[/C][C]362.238198924731[/C][C]-1.73819892473119[/C][/ROW]
[ROW][C]140[/C][C]334.7[/C][C]331.093037634409[/C][C]3.60696236559135[/C][/ROW]
[ROW][C]141[/C][C]319.5[/C][C]313.986586021505[/C][C]5.5134139784946[/C][/ROW]
[ROW][C]142[/C][C]323.1[/C][C]298.544650537634[/C][C]24.5553494623656[/C][/ROW]
[ROW][C]143[/C][C]363.6[/C][C]320.61561827957[/C][C]42.9843817204301[/C][/ROW]
[ROW][C]144[/C][C]352.1[/C][C]323.083360215054[/C][C]29.0166397849462[/C][/ROW]
[ROW][C]145[/C][C]411.9[/C][C]396.343971774194[/C][C]15.5560282258064[/C][/ROW]
[ROW][C]146[/C][C]388.6[/C][C]406.240745967742[/C][C]-17.6407459677419[/C][/ROW]
[ROW][C]147[/C][C]416.4[/C][C]383.973004032258[/C][C]32.4269959677419[/C][/ROW]
[ROW][C]148[/C][C]360.7[/C][C]345.050423387097[/C][C]15.6495766129032[/C][/ROW]
[ROW][C]149[/C][C]338[/C][C]324.511713709677[/C][C]13.4882862903226[/C][/ROW]
[ROW][C]150[/C][C]417.2[/C][C]397.23752016129[/C][C]19.9624798387097[/C][/ROW]
[ROW][C]151[/C][C]388.4[/C][C]374.466552419355[/C][C]13.9334475806451[/C][/ROW]
[ROW][C]152[/C][C]371.1[/C][C]343.321391129032[/C][C]27.7786088709677[/C][/ROW]
[ROW][C]153[/C][C]331.5[/C][C]326.214939516129[/C][C]5.28506048387095[/C][/ROW]
[ROW][C]154[/C][C]353.7[/C][C]310.773004032258[/C][C]42.9269959677419[/C][/ROW]
[ROW][C]155[/C][C]396.7[/C][C]332.843971774194[/C][C]63.8560282258064[/C][/ROW]
[ROW][C]156[/C][C]447[/C][C]335.311713709677[/C][C]111.688286290323[/C][/ROW]
[ROW][C]157[/C][C]533.5[/C][C]408.572325268817[/C][C]124.927674731183[/C][/ROW]
[ROW][C]158[/C][C]565.4[/C][C]418.469099462366[/C][C]146.930900537634[/C][/ROW]
[ROW][C]159[/C][C]542.3[/C][C]396.201357526882[/C][C]146.098642473118[/C][/ROW]
[ROW][C]160[/C][C]488.7[/C][C]357.27877688172[/C][C]131.42122311828[/C][/ROW]
[ROW][C]161[/C][C]467.1[/C][C]336.740067204301[/C][C]130.359932795699[/C][/ROW]
[ROW][C]162[/C][C]531.3[/C][C]409.465873655914[/C][C]121.834126344086[/C][/ROW]
[ROW][C]163[/C][C]496.1[/C][C]386.694905913979[/C][C]109.405094086022[/C][/ROW]
[ROW][C]164[/C][C]444[/C][C]355.549744623656[/C][C]88.4502553763441[/C][/ROW]
[ROW][C]165[/C][C]403.4[/C][C]338.443293010753[/C][C]64.9567069892473[/C][/ROW]
[ROW][C]166[/C][C]386.3[/C][C]323.001357526882[/C][C]63.2986424731183[/C][/ROW]
[ROW][C]167[/C][C]394.1[/C][C]345.072325268817[/C][C]49.0276747311828[/C][/ROW]
[ROW][C]168[/C][C]404.1[/C][C]347.540067204301[/C][C]56.5599327956989[/C][/ROW]
[ROW][C]169[/C][C]462.1[/C][C]420.800678763441[/C][C]41.2993212365591[/C][/ROW]
[ROW][C]170[/C][C]448.1[/C][C]430.697452956989[/C][C]17.4025470430108[/C][/ROW]
[ROW][C]171[/C][C]432.3[/C][C]408.429711021505[/C][C]23.8702889784946[/C][/ROW]
[ROW][C]172[/C][C]386.3[/C][C]369.507130376344[/C][C]16.7928696236559[/C][/ROW]
[ROW][C]173[/C][C]395.2[/C][C]348.968420698925[/C][C]46.2315793010753[/C][/ROW]
[ROW][C]174[/C][C]421.9[/C][C]421.694227150538[/C][C]0.205772849462341[/C][/ROW]
[ROW][C]175[/C][C]382.9[/C][C]398.923259408602[/C][C]-16.0232594086022[/C][/ROW]
[ROW][C]176[/C][C]384.2[/C][C]367.77809811828[/C][C]16.4219018817204[/C][/ROW]
[ROW][C]177[/C][C]345.5[/C][C]350.671646505376[/C][C]-5.17164650537637[/C][/ROW]
[ROW][C]178[/C][C]323.4[/C][C]335.229711021505[/C][C]-11.8297110215054[/C][/ROW]
[ROW][C]179[/C][C]372.6[/C][C]357.300678763441[/C][C]15.2993212365591[/C][/ROW]
[ROW][C]180[/C][C]376[/C][C]359.768420698925[/C][C]16.2315793010752[/C][/ROW]
[ROW][C]181[/C][C]462.7[/C][C]433.029032258065[/C][C]29.6709677419354[/C][/ROW]
[ROW][C]182[/C][C]487[/C][C]442.925806451613[/C][C]44.0741935483871[/C][/ROW]
[ROW][C]183[/C][C]444.2[/C][C]420.658064516129[/C][C]23.541935483871[/C][/ROW]
[ROW][C]184[/C][C]399.3[/C][C]381.735483870968[/C][C]17.5645161290323[/C][/ROW]
[ROW][C]185[/C][C]394.9[/C][C]361.196774193548[/C][C]33.7032258064516[/C][/ROW]
[ROW][C]186[/C][C]455.4[/C][C]433.922580645161[/C][C]21.4774193548387[/C][/ROW]
[ROW][C]187[/C][C]414[/C][C]411.151612903226[/C][C]2.8483870967742[/C][/ROW]
[ROW][C]188[/C][C]375.5[/C][C]380.006451612903[/C][C]-4.50645161290326[/C][/ROW]
[ROW][C]189[/C][C]347[/C][C]362.9[/C][C]-15.9[/C][/ROW]
[ROW][C]190[/C][C]339.4[/C][C]347.458064516129[/C][C]-8.05806451612905[/C][/ROW]
[ROW][C]191[/C][C]385.8[/C][C]369.529032258065[/C][C]16.2709677419355[/C][/ROW]
[ROW][C]192[/C][C]378.8[/C][C]371.996774193548[/C][C]6.80322580645159[/C][/ROW]
[ROW][C]193[/C][C]451.8[/C][C]445.257385752688[/C][C]6.5426142473118[/C][/ROW]
[ROW][C]194[/C][C]446.1[/C][C]455.154159946237[/C][C]-9.05415994623654[/C][/ROW]
[ROW][C]195[/C][C]422.5[/C][C]432.886418010753[/C][C]-10.3864180107527[/C][/ROW]
[ROW][C]196[/C][C]383.1[/C][C]393.963837365591[/C][C]-10.8638373655914[/C][/ROW]
[ROW][C]197[/C][C]352.8[/C][C]373.425127688172[/C][C]-20.625127688172[/C][/ROW]
[ROW][C]198[/C][C]445.3[/C][C]446.150934139785[/C][C]-0.850934139784941[/C][/ROW]
[ROW][C]199[/C][C]367.5[/C][C]423.379966397849[/C][C]-55.8799663978495[/C][/ROW]
[ROW][C]200[/C][C]355.1[/C][C]392.234805107527[/C][C]-37.1348051075269[/C][/ROW]
[ROW][C]201[/C][C]326.2[/C][C]375.128353494624[/C][C]-48.9283534946237[/C][/ROW]
[ROW][C]202[/C][C]319.8[/C][C]359.686418010753[/C][C]-39.8864180107527[/C][/ROW]
[ROW][C]203[/C][C]331.8[/C][C]381.757385752688[/C][C]-49.9573857526882[/C][/ROW]
[ROW][C]204[/C][C]340.9[/C][C]384.225127688172[/C][C]-43.3251276881721[/C][/ROW]
[ROW][C]205[/C][C]394.1[/C][C]457.485739247312[/C][C]-63.3857392473119[/C][/ROW]
[ROW][C]206[/C][C]417.2[/C][C]467.38251344086[/C][C]-50.1825134408602[/C][/ROW]
[ROW][C]207[/C][C]369.9[/C][C]445.114771505376[/C][C]-75.2147715053764[/C][/ROW]
[ROW][C]208[/C][C]349.2[/C][C]406.192190860215[/C][C]-56.9921908602151[/C][/ROW]
[ROW][C]209[/C][C]321.4[/C][C]385.653481182796[/C][C]-64.2534811827957[/C][/ROW]
[ROW][C]210[/C][C]405.7[/C][C]458.379287634409[/C][C]-52.6792876344086[/C][/ROW]
[ROW][C]211[/C][C]342.9[/C][C]435.608319892473[/C][C]-92.7083198924732[/C][/ROW]
[ROW][C]212[/C][C]316.5[/C][C]404.463158602151[/C][C]-87.9631586021506[/C][/ROW]
[ROW][C]213[/C][C]284.2[/C][C]387.356706989247[/C][C]-103.156706989247[/C][/ROW]
[ROW][C]214[/C][C]270.9[/C][C]371.914771505376[/C][C]-101.014771505376[/C][/ROW]
[ROW][C]215[/C][C]288.8[/C][C]393.985739247312[/C][C]-105.185739247312[/C][/ROW]
[ROW][C]216[/C][C]278.8[/C][C]396.453481182796[/C][C]-117.653481182796[/C][/ROW]
[ROW][C]217[/C][C]324.4[/C][C]469.714092741935[/C][C]-145.314092741936[/C][/ROW]
[ROW][C]218[/C][C]310.9[/C][C]479.610866935484[/C][C]-168.710866935484[/C][/ROW]
[ROW][C]219[/C][C]299[/C][C]457.343125[/C][C]-158.343125[/C][/ROW]
[ROW][C]220[/C][C]273[/C][C]418.420544354839[/C][C]-145.420544354839[/C][/ROW]
[ROW][C]221[/C][C]279.3[/C][C]397.881834677419[/C][C]-118.581834677419[/C][/ROW]
[ROW][C]222[/C][C]359.2[/C][C]470.607641129032[/C][C]-111.407641129032[/C][/ROW]
[ROW][C]223[/C][C]305[/C][C]447.836673387097[/C][C]-142.836673387097[/C][/ROW]
[ROW][C]224[/C][C]282.1[/C][C]416.691512096774[/C][C]-134.591512096774[/C][/ROW]
[ROW][C]225[/C][C]250.3[/C][C]399.585060483871[/C][C]-149.285060483871[/C][/ROW]
[ROW][C]226[/C][C]246.5[/C][C]384.143125[/C][C]-137.643125[/C][/ROW]
[ROW][C]227[/C][C]257.9[/C][C]406.214092741935[/C][C]-148.314092741935[/C][/ROW]
[ROW][C]228[/C][C]266.5[/C][C]408.681834677419[/C][C]-142.181834677419[/C][/ROW]
[ROW][C]229[/C][C]315.9[/C][C]481.942446236559[/C][C]-166.042446236559[/C][/ROW]
[ROW][C]230[/C][C]318.4[/C][C]491.839220430108[/C][C]-173.439220430107[/C][/ROW]
[ROW][C]231[/C][C]295.4[/C][C]469.571478494624[/C][C]-174.171478494624[/C][/ROW]
[ROW][C]232[/C][C]266.4[/C][C]430.648897849462[/C][C]-164.248897849462[/C][/ROW]
[ROW][C]233[/C][C]245.8[/C][C]410.110188172043[/C][C]-164.310188172043[/C][/ROW]
[ROW][C]234[/C][C]362.8[/C][C]482.835994623656[/C][C]-120.035994623656[/C][/ROW]
[ROW][C]235[/C][C]324.9[/C][C]460.06502688172[/C][C]-135.16502688172[/C][/ROW]
[ROW][C]236[/C][C]294.2[/C][C]428.919865591398[/C][C]-134.719865591398[/C][/ROW]
[ROW][C]237[/C][C]289.5[/C][C]411.813413978495[/C][C]-122.313413978495[/C][/ROW]
[ROW][C]238[/C][C]295.2[/C][C]396.371478494624[/C][C]-101.171478494624[/C][/ROW]
[ROW][C]239[/C][C]290.3[/C][C]418.442446236559[/C][C]-128.142446236559[/C][/ROW]
[ROW][C]240[/C][C]272[/C][C]420.910188172043[/C][C]-148.910188172043[/C][/ROW]
[ROW][C]241[/C][C]307.4[/C][C]494.170799731183[/C][C]-186.770799731183[/C][/ROW]
[ROW][C]242[/C][C]328.7[/C][C]504.067573924731[/C][C]-175.367573924731[/C][/ROW]
[ROW][C]243[/C][C]292.9[/C][C]481.799831989247[/C][C]-188.899831989247[/C][/ROW]
[ROW][C]244[/C][C]249.1[/C][C]442.877251344086[/C][C]-193.777251344086[/C][/ROW]
[ROW][C]245[/C][C]230.4[/C][C]422.338541666667[/C][C]-191.938541666667[/C][/ROW]
[ROW][C]246[/C][C]361.5[/C][C]495.06434811828[/C][C]-133.56434811828[/C][/ROW]
[ROW][C]247[/C][C]321.7[/C][C]472.293380376344[/C][C]-150.593380376344[/C][/ROW]
[ROW][C]248[/C][C]277.2[/C][C]441.148219086022[/C][C]-163.948219086022[/C][/ROW]
[ROW][C]249[/C][C]260.7[/C][C]424.041767473118[/C][C]-163.341767473118[/C][/ROW]
[ROW][C]250[/C][C]251[/C][C]408.599831989247[/C][C]-157.599831989247[/C][/ROW]
[ROW][C]251[/C][C]257.6[/C][C]430.670799731183[/C][C]-173.070799731183[/C][/ROW]
[ROW][C]252[/C][C]241.8[/C][C]433.138541666667[/C][C]-191.338541666667[/C][/ROW]
[ROW][C]253[/C][C]287.5[/C][C]506.399153225806[/C][C]-218.899153225806[/C][/ROW]
[ROW][C]254[/C][C]292.3[/C][C]516.295927419355[/C][C]-223.995927419355[/C][/ROW]
[ROW][C]255[/C][C]274.7[/C][C]494.028185483871[/C][C]-219.328185483871[/C][/ROW]
[ROW][C]256[/C][C]254.2[/C][C]455.10560483871[/C][C]-200.90560483871[/C][/ROW]
[ROW][C]257[/C][C]230[/C][C]434.56689516129[/C][C]-204.56689516129[/C][/ROW]
[ROW][C]258[/C][C]339[/C][C]507.292701612903[/C][C]-168.292701612903[/C][/ROW]
[ROW][C]259[/C][C]318.2[/C][C]484.521733870968[/C][C]-166.321733870968[/C][/ROW]
[ROW][C]260[/C][C]287[/C][C]453.376572580645[/C][C]-166.376572580645[/C][/ROW]
[ROW][C]261[/C][C]295.8[/C][C]436.270120967742[/C][C]-140.470120967742[/C][/ROW]
[ROW][C]262[/C][C]284[/C][C]420.828185483871[/C][C]-136.828185483871[/C][/ROW]
[ROW][C]263[/C][C]271[/C][C]442.899153225806[/C][C]-171.899153225806[/C][/ROW]
[ROW][C]264[/C][C]262.7[/C][C]445.36689516129[/C][C]-182.66689516129[/C][/ROW]
[ROW][C]265[/C][C]340.6[/C][C]518.62750672043[/C][C]-178.02750672043[/C][/ROW]
[ROW][C]266[/C][C]379.4[/C][C]528.524280913978[/C][C]-149.124280913979[/C][/ROW]
[ROW][C]267[/C][C]373.3[/C][C]506.256538978495[/C][C]-132.956538978495[/C][/ROW]
[ROW][C]268[/C][C]355.2[/C][C]467.333958333333[/C][C]-112.133958333333[/C][/ROW]
[ROW][C]269[/C][C]338.4[/C][C]446.795248655914[/C][C]-108.395248655914[/C][/ROW]
[ROW][C]270[/C][C]466.9[/C][C]519.521055107527[/C][C]-52.6210551075269[/C][/ROW]
[ROW][C]271[/C][C]451[/C][C]496.750087365591[/C][C]-45.7500873655914[/C][/ROW]
[ROW][C]272[/C][C]422[/C][C]465.604926075269[/C][C]-43.6049260752688[/C][/ROW]
[ROW][C]273[/C][C]429.2[/C][C]448.498474462366[/C][C]-19.2984744623656[/C][/ROW]
[ROW][C]274[/C][C]425.9[/C][C]433.056538978495[/C][C]-7.15653897849465[/C][/ROW]
[ROW][C]275[/C][C]460.7[/C][C]455.12750672043[/C][C]5.57249327956986[/C][/ROW]
[ROW][C]276[/C][C]463.6[/C][C]457.595248655914[/C][C]6.00475134408602[/C][/ROW]
[ROW][C]277[/C][C]541.4[/C][C]530.855860215054[/C][C]10.5441397849462[/C][/ROW]
[ROW][C]278[/C][C]544.2[/C][C]540.752634408602[/C][C]3.44736559139788[/C][/ROW]
[ROW][C]279[/C][C]517.5[/C][C]518.484892473118[/C][C]-0.984892473118272[/C][/ROW]
[ROW][C]280[/C][C]469.4[/C][C]479.562311827957[/C][C]-10.162311827957[/C][/ROW]
[ROW][C]281[/C][C]439.4[/C][C]459.023602150538[/C][C]-19.6236021505376[/C][/ROW]
[ROW][C]282[/C][C]549[/C][C]531.749408602151[/C][C]17.2505913978495[/C][/ROW]
[ROW][C]283[/C][C]533[/C][C]508.978440860215[/C][C]24.021559139785[/C][/ROW]
[ROW][C]284[/C][C]506.1[/C][C]477.833279569893[/C][C]28.2667204301075[/C][/ROW]
[ROW][C]285[/C][C]484[/C][C]460.726827956989[/C][C]23.2731720430108[/C][/ROW]
[ROW][C]286[/C][C]457[/C][C]445.284892473118[/C][C]11.7151075268817[/C][/ROW]
[ROW][C]287[/C][C]481.5[/C][C]467.355860215054[/C][C]14.1441397849462[/C][/ROW]
[ROW][C]288[/C][C]469.5[/C][C]469.823602150538[/C][C]-0.323602150537605[/C][/ROW]
[ROW][C]289[/C][C]544.7[/C][C]543.084213709677[/C][C]1.61578629032258[/C][/ROW]
[ROW][C]290[/C][C]541.2[/C][C]552.980987903226[/C][C]-11.7809879032258[/C][/ROW]
[ROW][C]291[/C][C]521.5[/C][C]530.713245967742[/C][C]-9.21324596774194[/C][/ROW]
[ROW][C]292[/C][C]469.7[/C][C]491.790665322581[/C][C]-22.0906653225807[/C][/ROW]
[ROW][C]293[/C][C]434.4[/C][C]471.251955645161[/C][C]-36.8519556451613[/C][/ROW]
[ROW][C]294[/C][C]542.6[/C][C]543.977762096774[/C][C]-1.37776209677414[/C][/ROW]
[ROW][C]295[/C][C]517.3[/C][C]521.206794354839[/C][C]-3.90679435483875[/C][/ROW]
[ROW][C]296[/C][C]485.7[/C][C]490.061633064516[/C][C]-4.36163306451613[/C][/ROW]
[ROW][C]297[/C][C]465.8[/C][C]472.955181451613[/C][C]-7.15518145161287[/C][/ROW]
[ROW][C]298[/C][C]447[/C][C]457.513245967742[/C][C]-10.5132459677419[/C][/ROW]
[ROW][C]299[/C][C]426.6[/C][C]479.584213709677[/C][C]-52.9842137096774[/C][/ROW]
[ROW][C]300[/C][C]411.6[/C][C]482.051955645161[/C][C]-70.4519556451612[/C][/ROW]
[ROW][C]301[/C][C]467.5[/C][C]555.312567204301[/C][C]-87.8125672043011[/C][/ROW]
[ROW][C]302[/C][C]484.5[/C][C]565.209341397849[/C][C]-80.7093413978495[/C][/ROW]
[ROW][C]303[/C][C]451.2[/C][C]542.941599462366[/C][C]-91.7415994623656[/C][/ROW]
[ROW][C]304[/C][C]417.4[/C][C]504.019018817204[/C][C]-86.6190188172043[/C][/ROW]
[ROW][C]305[/C][C]379.9[/C][C]483.480309139785[/C][C]-103.580309139785[/C][/ROW]
[ROW][C]306[/C][C]484.7[/C][C]556.206115591398[/C][C]-71.5061155913979[/C][/ROW]
[ROW][C]307[/C][C]455[/C][C]533.435147849462[/C][C]-78.4351478494624[/C][/ROW]
[ROW][C]308[/C][C]420.8[/C][C]502.28998655914[/C][C]-81.4899865591398[/C][/ROW]
[ROW][C]309[/C][C]416.5[/C][C]485.183534946237[/C][C]-68.6835349462366[/C][/ROW]
[ROW][C]310[/C][C]376.3[/C][C]469.741599462366[/C][C]-93.4415994623656[/C][/ROW]
[ROW][C]311[/C][C]405.6[/C][C]491.812567204301[/C][C]-86.2125672043011[/C][/ROW]
[ROW][C]312[/C][C]405.8[/C][C]494.280309139785[/C][C]-88.4803091397849[/C][/ROW]
[ROW][C]313[/C][C]500.8[/C][C]567.540920698925[/C][C]-66.7409206989248[/C][/ROW]
[ROW][C]314[/C][C]514[/C][C]577.437694892473[/C][C]-63.4376948924732[/C][/ROW]
[ROW][C]315[/C][C]475.5[/C][C]555.169952956989[/C][C]-79.6699529569893[/C][/ROW]
[ROW][C]316[/C][C]430.1[/C][C]516.247372311828[/C][C]-86.147372311828[/C][/ROW]
[ROW][C]317[/C][C]414.4[/C][C]495.708662634409[/C][C]-81.3086626344087[/C][/ROW]
[ROW][C]318[/C][C]538[/C][C]568.434469086022[/C][C]-30.4344690860216[/C][/ROW]
[ROW][C]319[/C][C]526[/C][C]545.663501344086[/C][C]-19.6635013440861[/C][/ROW]
[ROW][C]320[/C][C]488.5[/C][C]514.518340053763[/C][C]-26.0183400537634[/C][/ROW]
[ROW][C]321[/C][C]520.2[/C][C]497.41188844086[/C][C]22.7881115591398[/C][/ROW]
[ROW][C]322[/C][C]504.4[/C][C]481.969952956989[/C][C]22.4300470430107[/C][/ROW]
[ROW][C]323[/C][C]568.5[/C][C]504.040920698925[/C][C]64.4590793010752[/C][/ROW]
[ROW][C]324[/C][C]610.6[/C][C]506.508662634409[/C][C]104.091337365591[/C][/ROW]
[ROW][C]325[/C][C]818[/C][C]579.769274193548[/C][C]238.230725806452[/C][/ROW]
[ROW][C]326[/C][C]830.9[/C][C]589.666048387097[/C][C]241.233951612903[/C][/ROW]
[ROW][C]327[/C][C]835.9[/C][C]567.398306451613[/C][C]268.501693548387[/C][/ROW]
[ROW][C]328[/C][C]782[/C][C]528.475725806451[/C][C]253.524274193548[/C][/ROW]
[ROW][C]329[/C][C]762.3[/C][C]507.937016129032[/C][C]254.362983870968[/C][/ROW]
[ROW][C]330[/C][C]856.9[/C][C]580.662822580645[/C][C]276.237177419355[/C][/ROW]
[ROW][C]331[/C][C]820.9[/C][C]557.89185483871[/C][C]263.00814516129[/C][/ROW]
[ROW][C]332[/C][C]769.6[/C][C]526.746693548387[/C][C]242.853306451613[/C][/ROW]
[ROW][C]333[/C][C]752.2[/C][C]509.640241935484[/C][C]242.559758064516[/C][/ROW]
[ROW][C]334[/C][C]724.4[/C][C]494.198306451613[/C][C]230.201693548387[/C][/ROW]
[ROW][C]335[/C][C]723.1[/C][C]516.269274193548[/C][C]206.830725806452[/C][/ROW]
[ROW][C]336[/C][C]719.5[/C][C]518.737016129032[/C][C]200.762983870968[/C][/ROW]
[ROW][C]337[/C][C]817.4[/C][C]591.997627688172[/C][C]225.402372311828[/C][/ROW]
[ROW][C]338[/C][C]803.3[/C][C]601.89440188172[/C][C]201.405598118279[/C][/ROW]
[ROW][C]339[/C][C]752.5[/C][C]579.626659946237[/C][C]172.873340053763[/C][/ROW]
[ROW][C]340[/C][C]689[/C][C]540.704079301075[/C][C]148.295920698925[/C][/ROW]
[ROW][C]341[/C][C]630.4[/C][C]520.165369623656[/C][C]110.234630376344[/C][/ROW]
[ROW][C]342[/C][C]765.5[/C][C]592.891176075269[/C][C]172.608823924731[/C][/ROW]
[ROW][C]343[/C][C]757.7[/C][C]570.120208333333[/C][C]187.579791666667[/C][/ROW]
[ROW][C]344[/C][C]732.2[/C][C]538.975047043011[/C][C]193.224952956989[/C][/ROW]
[ROW][C]345[/C][C]702.6[/C][C]521.868595430107[/C][C]180.731404569893[/C][/ROW]
[ROW][C]346[/C][C]683.3[/C][C]506.426659946236[/C][C]176.873340053763[/C][/ROW]
[ROW][C]347[/C][C]709.5[/C][C]528.497627688172[/C][C]181.002372311828[/C][/ROW]
[ROW][C]348[/C][C]702.2[/C][C]530.965369623656[/C][C]171.234630376344[/C][/ROW]
[ROW][C]349[/C][C]784.8[/C][C]604.225981182796[/C][C]180.574018817204[/C][/ROW]
[ROW][C]350[/C][C]810.9[/C][C]614.122755376344[/C][C]196.777244623656[/C][/ROW]
[ROW][C]351[/C][C]755.6[/C][C]591.85501344086[/C][C]163.74498655914[/C][/ROW]
[ROW][C]352[/C][C]656.8[/C][C]552.932432795699[/C][C]103.867567204301[/C][/ROW]
[ROW][C]353[/C][C]615.1[/C][C]532.39372311828[/C][C]82.7062768817204[/C][/ROW]
[ROW][C]354[/C][C]745.3[/C][C]605.119529569893[/C][C]140.180470430107[/C][/ROW]
[ROW][C]355[/C][C]694.1[/C][C]582.348561827957[/C][C]111.751438172043[/C][/ROW]
[ROW][C]356[/C][C]675.7[/C][C]551.203400537634[/C][C]124.496599462366[/C][/ROW]
[ROW][C]357[/C][C]643.7[/C][C]534.096948924731[/C][C]109.603051075269[/C][/ROW]
[ROW][C]358[/C][C]622.1[/C][C]518.65501344086[/C][C]103.44498655914[/C][/ROW]
[ROW][C]359[/C][C]634.6[/C][C]540.725981182796[/C][C]93.8740188172044[/C][/ROW]
[ROW][C]360[/C][C]588[/C][C]543.19372311828[/C][C]44.8062768817205[/C][/ROW]
[ROW][C]361[/C][C]689.7[/C][C]616.454334677419[/C][C]73.2456653225807[/C][/ROW]
[ROW][C]362[/C][C]673.9[/C][C]626.351108870968[/C][C]47.5488911290322[/C][/ROW]
[ROW][C]363[/C][C]647.9[/C][C]604.083366935484[/C][C]43.8166330645161[/C][/ROW]
[ROW][C]364[/C][C]568.8[/C][C]565.160786290323[/C][C]3.6392137096774[/C][/ROW]
[ROW][C]365[/C][C]545.7[/C][C]544.622076612903[/C][C]1.07792338709678[/C][/ROW]
[ROW][C]366[/C][C]632.6[/C][C]617.347883064516[/C][C]15.2521169354839[/C][/ROW]
[ROW][C]367[/C][C]643.8[/C][C]594.576915322581[/C][C]49.2230846774194[/C][/ROW]
[ROW][C]368[/C][C]593.1[/C][C]563.431754032258[/C][C]29.668245967742[/C][/ROW]
[ROW][C]369[/C][C]579.7[/C][C]546.325302419355[/C][C]33.3746975806452[/C][/ROW]
[ROW][C]370[/C][C]546[/C][C]530.883366935484[/C][C]15.1166330645161[/C][/ROW]
[ROW][C]371[/C][C]562.9[/C][C]552.954334677419[/C][C]9.94566532258058[/C][/ROW]
[ROW][C]372[/C][C]572.5[/C][C]555.422076612903[/C][C]17.0779233870967[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=187301&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=187301&T=4

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1235.1249.603729838709-14.5037298387093
2280.7259.50050403225821.199495967742
3264.6237.23276209677427.3672379032257
4240.7198.31018145161342.389818548387
5201.4177.77147177419423.6285282258065
6240.8250.497278225807-9.69727822580659
7241.1227.72631048387113.3736895161289
8223.8196.58114919354827.2188508064516
9206.1179.47469758064526.6253024193549
10174.7164.03276209677410.6672379032258
11203.3186.1037298387117.1962701612903
12220.5188.57147177419431.9285282258065
13299.5261.83208333333337.6679166666668
14347.4271.72885752688275.6711424731182
15338.3249.46111559139888.8388844086022
16327.7210.538534946236117.161465053763
17351.6189.999825268817161.600174731183
18396.6262.72563172043133.87436827957
19438.8239.954663978495198.845336021505
20395.6208.809502688172186.790497311828
21363.5191.703051075269171.796948924731
22378.8176.261115591398202.538884408602
23357198.332083333333158.667916666667
24369200.799825268817168.200174731183
25464.8274.060436827957190.739563172043
26479.1283.957211021505195.142788978495
27431.3261.689469086022169.610530913979
28366.5222.76688844086143.73311155914
29326.3202.228178763441124.071821236559
30355.1274.95398521505480.1460147849462
31331.6252.18301747311879.4169825268817
32261.3221.03785618279640.2621438172043
33249203.93140456989245.0685954301075
34205.5188.48946908602217.0105309139785
35235.6210.56043682795725.039563172043
36240.9213.02817876344127.8718212365591
37264.9286.288790322581-21.3887903225807
38253.8296.185564516129-42.3855645161291
39232.3273.917822580645-41.6178225806451
40193.8234.995241935484-41.1952419354838
41177214.456532258064-37.4565322580645
42213.2287.182338709677-73.9823387096774
43207.2264.411370967742-57.211370967742
44180.6233.266209677419-52.6662096774194
45188.6216.159758064516-27.5597580645162
46175.4200.717822580645-25.3178225806452
47199222.788790322581-23.7887903225807
48179.6225.256532258065-45.6565322580646
49225.8298.517143817204-72.7171438172043
50234308.413918010753-74.4139180107527
51200.2286.146176075269-85.9461760752688
52183.6247.223595430107-63.6235954301075
53178.2226.684885752688-48.4848857526882
54203.2299.410692204301-96.2106922043011
55208.5276.639724462366-68.1397244623656
56191.8245.494563172043-53.694563172043
57172.8228.38811155914-55.5881115591398
58148212.946176075269-64.9461760752688
59159.4235.017143817204-75.6171438172043
60154.5237.484885752688-82.9848857526882
61213.2310.745497311828-97.5454973118279
62196.4320.642271505376-124.242271505376
63182.8298.374529569892-115.574529569892
64176.4259.451948924731-83.0519489247311
65153.6238.913239247312-85.3132392473118
66173.2311.639045698925-138.439045698925
67171288.868077956989-117.868077956989
68151.2257.722916666667-106.522916666667
69161.9240.616465053763-78.7164650537635
70157.2225.174529569892-67.9745295698925
71201.7247.245497311828-45.545497311828
72236.4249.713239247312-13.3132392473118
73356.1322.97385080645233.1261491935484
74398.3332.87062565.429375
75403.7310.60288306451693.0971169354839
76384.6271.680302419355112.919697580645
77365.8251.141592741935114.658407258065
78368.1323.86739919354844.2326008064517
79367.9301.09643145161366.8035685483871
80347269.9512701612977.0487298387097
81343.3252.84481854838790.4551814516129
82292.9237.40288306451655.4971169354839
83311.5259.47385080645252.0261491935484
84300.9261.94159274193538.9584072580645
85366.9335.20220430107531.6977956989247
86356.9345.09897849462411.8010215053763
87329.7322.831236559146.86876344086024
88316.2283.90865591397932.2913440860215
89269263.3699462365595.63005376344091
90289.3336.095752688172-46.795752688172
91266.2313.324784946237-47.1247849462365
92253.6282.179623655914-28.579623655914
93233.8265.073172043011-31.2731720430107
94228.4249.63123655914-21.2312365591398
95253.6271.702204301075-18.1022043010753
96260.1274.169946236559-14.0699462365591
97306.6347.430557795699-40.8305577956989
98309.2357.327331989247-48.1273319892473
99309.5335.059590053763-25.5595900537634
100271296.137009408602-25.1370094086022
101279.9275.5982997311834.30170026881722
102317.9348.324106182796-30.4241061827957
103298.4325.55313844086-27.1531384408602
104246.7294.407977150538-47.7079771505376
105227.3277.301525537634-50.0015255376344
106209.1261.859590053763-52.7595900537634
107259.9283.930557795699-24.0305577956989
108266286.398299731183-20.3982997311828
109320.6359.658911290323-39.0589112903226
110308.5369.555685483871-61.055685483871
111282.2347.287943548387-65.0879435483871
112262.7308.365362903226-45.6653629032258
113263.5287.826653225806-24.3266532258064
114313.1360.552459677419-47.4524596774193
115284.3337.781491935484-53.4814919354838
116252.6306.636330645161-54.0363306451613
117250.3289.529879032258-39.229879032258
118246.5274.087943548387-27.5879435483871
119312.7296.15891129032316.5410887096774
120333.2298.62665322580634.5733467741935
121446.4371.88726478494674.5127352150537
122511.6381.784038978495129.815961021505
123515.5359.516297043011155.983702956989
124506.4320.59371639785185.80628360215
125483.2300.05500672043183.14499327957
126522.3372.780813172043149.519186827957
127509.8350.009845430108159.790154569892
128460.7318.864684139785141.835315860215
129405.8301.758232526882104.041767473118
130375286.31629704301188.6837029569892
131378.5308.38726478494670.1127352150537
132406.8310.8550067204395.9449932795699
133467.8384.1156182795783.6843817204301
134469.8394.01239247311875.7876075268817
135429.8371.74465053763458.0553494623656
136355.8332.82206989247322.9779301075269
137332.7312.28336021505420.4166397849463
138378385.009166666667-7.00916666666668
139360.5362.238198924731-1.73819892473119
140334.7331.0930376344093.60696236559135
141319.5313.9865860215055.5134139784946
142323.1298.54465053763424.5553494623656
143363.6320.6156182795742.9843817204301
144352.1323.08336021505429.0166397849462
145411.9396.34397177419415.5560282258064
146388.6406.240745967742-17.6407459677419
147416.4383.97300403225832.4269959677419
148360.7345.05042338709715.6495766129032
149338324.51171370967713.4882862903226
150417.2397.2375201612919.9624798387097
151388.4374.46655241935513.9334475806451
152371.1343.32139112903227.7786088709677
153331.5326.2149395161295.28506048387095
154353.7310.77300403225842.9269959677419
155396.7332.84397177419463.8560282258064
156447335.311713709677111.688286290323
157533.5408.572325268817124.927674731183
158565.4418.469099462366146.930900537634
159542.3396.201357526882146.098642473118
160488.7357.27877688172131.42122311828
161467.1336.740067204301130.359932795699
162531.3409.465873655914121.834126344086
163496.1386.694905913979109.405094086022
164444355.54974462365688.4502553763441
165403.4338.44329301075364.9567069892473
166386.3323.00135752688263.2986424731183
167394.1345.07232526881749.0276747311828
168404.1347.54006720430156.5599327956989
169462.1420.80067876344141.2993212365591
170448.1430.69745295698917.4025470430108
171432.3408.42971102150523.8702889784946
172386.3369.50713037634416.7928696236559
173395.2348.96842069892546.2315793010753
174421.9421.6942271505380.205772849462341
175382.9398.923259408602-16.0232594086022
176384.2367.7780981182816.4219018817204
177345.5350.671646505376-5.17164650537637
178323.4335.229711021505-11.8297110215054
179372.6357.30067876344115.2993212365591
180376359.76842069892516.2315793010752
181462.7433.02903225806529.6709677419354
182487442.92580645161344.0741935483871
183444.2420.65806451612923.541935483871
184399.3381.73548387096817.5645161290323
185394.9361.19677419354833.7032258064516
186455.4433.92258064516121.4774193548387
187414411.1516129032262.8483870967742
188375.5380.006451612903-4.50645161290326
189347362.9-15.9
190339.4347.458064516129-8.05806451612905
191385.8369.52903225806516.2709677419355
192378.8371.9967741935486.80322580645159
193451.8445.2573857526886.5426142473118
194446.1455.154159946237-9.05415994623654
195422.5432.886418010753-10.3864180107527
196383.1393.963837365591-10.8638373655914
197352.8373.425127688172-20.625127688172
198445.3446.150934139785-0.850934139784941
199367.5423.379966397849-55.8799663978495
200355.1392.234805107527-37.1348051075269
201326.2375.128353494624-48.9283534946237
202319.8359.686418010753-39.8864180107527
203331.8381.757385752688-49.9573857526882
204340.9384.225127688172-43.3251276881721
205394.1457.485739247312-63.3857392473119
206417.2467.38251344086-50.1825134408602
207369.9445.114771505376-75.2147715053764
208349.2406.192190860215-56.9921908602151
209321.4385.653481182796-64.2534811827957
210405.7458.379287634409-52.6792876344086
211342.9435.608319892473-92.7083198924732
212316.5404.463158602151-87.9631586021506
213284.2387.356706989247-103.156706989247
214270.9371.914771505376-101.014771505376
215288.8393.985739247312-105.185739247312
216278.8396.453481182796-117.653481182796
217324.4469.714092741935-145.314092741936
218310.9479.610866935484-168.710866935484
219299457.343125-158.343125
220273418.420544354839-145.420544354839
221279.3397.881834677419-118.581834677419
222359.2470.607641129032-111.407641129032
223305447.836673387097-142.836673387097
224282.1416.691512096774-134.591512096774
225250.3399.585060483871-149.285060483871
226246.5384.143125-137.643125
227257.9406.214092741935-148.314092741935
228266.5408.681834677419-142.181834677419
229315.9481.942446236559-166.042446236559
230318.4491.839220430108-173.439220430107
231295.4469.571478494624-174.171478494624
232266.4430.648897849462-164.248897849462
233245.8410.110188172043-164.310188172043
234362.8482.835994623656-120.035994623656
235324.9460.06502688172-135.16502688172
236294.2428.919865591398-134.719865591398
237289.5411.813413978495-122.313413978495
238295.2396.371478494624-101.171478494624
239290.3418.442446236559-128.142446236559
240272420.910188172043-148.910188172043
241307.4494.170799731183-186.770799731183
242328.7504.067573924731-175.367573924731
243292.9481.799831989247-188.899831989247
244249.1442.877251344086-193.777251344086
245230.4422.338541666667-191.938541666667
246361.5495.06434811828-133.56434811828
247321.7472.293380376344-150.593380376344
248277.2441.148219086022-163.948219086022
249260.7424.041767473118-163.341767473118
250251408.599831989247-157.599831989247
251257.6430.670799731183-173.070799731183
252241.8433.138541666667-191.338541666667
253287.5506.399153225806-218.899153225806
254292.3516.295927419355-223.995927419355
255274.7494.028185483871-219.328185483871
256254.2455.10560483871-200.90560483871
257230434.56689516129-204.56689516129
258339507.292701612903-168.292701612903
259318.2484.521733870968-166.321733870968
260287453.376572580645-166.376572580645
261295.8436.270120967742-140.470120967742
262284420.828185483871-136.828185483871
263271442.899153225806-171.899153225806
264262.7445.36689516129-182.66689516129
265340.6518.62750672043-178.02750672043
266379.4528.524280913978-149.124280913979
267373.3506.256538978495-132.956538978495
268355.2467.333958333333-112.133958333333
269338.4446.795248655914-108.395248655914
270466.9519.521055107527-52.6210551075269
271451496.750087365591-45.7500873655914
272422465.604926075269-43.6049260752688
273429.2448.498474462366-19.2984744623656
274425.9433.056538978495-7.15653897849465
275460.7455.127506720435.57249327956986
276463.6457.5952486559146.00475134408602
277541.4530.85586021505410.5441397849462
278544.2540.7526344086023.44736559139788
279517.5518.484892473118-0.984892473118272
280469.4479.562311827957-10.162311827957
281439.4459.023602150538-19.6236021505376
282549531.74940860215117.2505913978495
283533508.97844086021524.021559139785
284506.1477.83327956989328.2667204301075
285484460.72682795698923.2731720430108
286457445.28489247311811.7151075268817
287481.5467.35586021505414.1441397849462
288469.5469.823602150538-0.323602150537605
289544.7543.0842137096771.61578629032258
290541.2552.980987903226-11.7809879032258
291521.5530.713245967742-9.21324596774194
292469.7491.790665322581-22.0906653225807
293434.4471.251955645161-36.8519556451613
294542.6543.977762096774-1.37776209677414
295517.3521.206794354839-3.90679435483875
296485.7490.061633064516-4.36163306451613
297465.8472.955181451613-7.15518145161287
298447457.513245967742-10.5132459677419
299426.6479.584213709677-52.9842137096774
300411.6482.051955645161-70.4519556451612
301467.5555.312567204301-87.8125672043011
302484.5565.209341397849-80.7093413978495
303451.2542.941599462366-91.7415994623656
304417.4504.019018817204-86.6190188172043
305379.9483.480309139785-103.580309139785
306484.7556.206115591398-71.5061155913979
307455533.435147849462-78.4351478494624
308420.8502.28998655914-81.4899865591398
309416.5485.183534946237-68.6835349462366
310376.3469.741599462366-93.4415994623656
311405.6491.812567204301-86.2125672043011
312405.8494.280309139785-88.4803091397849
313500.8567.540920698925-66.7409206989248
314514577.437694892473-63.4376948924732
315475.5555.169952956989-79.6699529569893
316430.1516.247372311828-86.147372311828
317414.4495.708662634409-81.3086626344087
318538568.434469086022-30.4344690860216
319526545.663501344086-19.6635013440861
320488.5514.518340053763-26.0183400537634
321520.2497.4118884408622.7881115591398
322504.4481.96995295698922.4300470430107
323568.5504.04092069892564.4590793010752
324610.6506.508662634409104.091337365591
325818579.769274193548238.230725806452
326830.9589.666048387097241.233951612903
327835.9567.398306451613268.501693548387
328782528.475725806451253.524274193548
329762.3507.937016129032254.362983870968
330856.9580.662822580645276.237177419355
331820.9557.89185483871263.00814516129
332769.6526.746693548387242.853306451613
333752.2509.640241935484242.559758064516
334724.4494.198306451613230.201693548387
335723.1516.269274193548206.830725806452
336719.5518.737016129032200.762983870968
337817.4591.997627688172225.402372311828
338803.3601.89440188172201.405598118279
339752.5579.626659946237172.873340053763
340689540.704079301075148.295920698925
341630.4520.165369623656110.234630376344
342765.5592.891176075269172.608823924731
343757.7570.120208333333187.579791666667
344732.2538.975047043011193.224952956989
345702.6521.868595430107180.731404569893
346683.3506.426659946236176.873340053763
347709.5528.497627688172181.002372311828
348702.2530.965369623656171.234630376344
349784.8604.225981182796180.574018817204
350810.9614.122755376344196.777244623656
351755.6591.85501344086163.74498655914
352656.8552.932432795699103.867567204301
353615.1532.3937231182882.7062768817204
354745.3605.119529569893140.180470430107
355694.1582.348561827957111.751438172043
356675.7551.203400537634124.496599462366
357643.7534.096948924731109.603051075269
358622.1518.65501344086103.44498655914
359634.6540.72598118279693.8740188172044
360588543.1937231182844.8062768817205
361689.7616.45433467741973.2456653225807
362673.9626.35110887096847.5488911290322
363647.9604.08336693548443.8166330645161
364568.8565.1607862903233.6392137096774
365545.7544.6220766129031.07792338709678
366632.6617.34788306451615.2521169354839
367643.8594.57691532258149.2230846774194
368593.1563.43175403225829.668245967742
369579.7546.32530241935533.3746975806452
370546530.88336693548415.1166330645161
371562.9552.9543346774199.94566532258058
372572.5555.42207661290317.0779233870967







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.0003991785126358260.0007983570252716520.999600821487364
170.005459916818604540.01091983363720910.994540083181395
180.004117537829651920.008235075659303850.995882462170348
190.006375702376061280.01275140475212260.993624297623939
200.003381281755115170.006762563510230350.996618718244885
210.001357249370888160.002714498741776320.998642750629112
220.001146449409417550.00229289881883510.998853550590582
230.0004207207535566940.0008414415071133880.999579279246443
240.0001456653027827980.0002913306055655970.999854334697217
254.85615086243529e-059.71230172487058e-050.999951438491376
262.18707346218092e-054.37414692436184e-050.999978129265378
271.93823739557941e-053.87647479115883e-050.999980617626044
285.35346640480999e-050.00010706932809620.999946465335952
290.0001894435905629150.0003788871811258290.999810556409437
300.0004447663734047040.0008895327468094090.999555233626595
310.00168061051882610.003361221037652210.998319389481174
320.006762853717727860.01352570743545570.993237146282272
330.01221291887378020.02442583774756050.98778708112622
340.02547333748168140.05094667496336280.974526662518319
350.03140855191180580.06281710382361170.968591448088194
360.03771295359303080.07542590718606160.962287046406969
370.058005704276930.116011408553860.94199429572307
380.1024909826622260.2049819653244520.897509017337774
390.1387262563952250.2774525127904510.861273743604775
400.1695034664536960.3390069329073910.830496533546304
410.1886705218242740.3773410436485480.811329478175726
420.2005141871951440.4010283743902890.799485812804856
430.2135317376368490.4270634752736980.786468262363151
440.2082083451441140.4164166902882280.791791654855886
450.1857449885472860.3714899770945720.814255011452714
460.1615205326405130.3230410652810260.838479467359487
470.1361636816428350.272327363285670.863836318357165
480.1206461398948270.2412922797896540.879353860105173
490.1033166531609910.2066333063219820.896683346839009
500.09043245520783010.180864910415660.90956754479217
510.08017689970096030.1603537994019210.91982310029904
520.06677307164518090.1335461432903620.933226928354819
530.0535761136714980.1071522273429960.946423886328502
540.04385962037653830.08771924075307660.956140379623462
550.03508237700583820.07016475401167640.964917622994162
560.02681128194134350.0536225638826870.973188718058656
570.02038222062392810.04076444124785620.979617779376072
580.01548414346867890.03096828693735780.984515856531321
590.01173796776175460.02347593552350920.988262032238245
600.008971492610609170.01794298522121830.991028507389391
610.006598153554830150.01319630710966030.99340184644517
620.00522584826193130.01045169652386260.994774151738069
630.003953849484281370.007907698968562740.996046150515719
640.002817605323173230.005635210646346460.997182394676827
650.002002056408367170.004004112816734330.997997943591633
660.001505016563831190.003010033127662370.998494983436169
670.001114071150717330.002228142301434650.998885928849283
680.0007896166761080430.001579233352216090.999210383323892
690.0005406139080128350.001081227816025670.999459386091987
700.0003712143422300590.0007424286844601180.99962878565777
710.0002727382335222550.000545476467044510.999727261766478
720.0002331912550853270.0004663825101706550.999766808744915
730.0004118396391897240.0008236792783794480.99958816036081
740.0008765142195833160.001753028439166630.999123485780417
750.002194295044982940.004388590089965870.997805704955017
760.004899727909204270.009799455818408550.995100272090796
770.009050973519486020.0181019470389720.990949026480514
780.01137393500831130.02274787001662260.988626064991689
790.01358488102658220.02716976205316440.986415118973418
800.01672881605304860.03345763210609710.983271183946951
810.02073804194011080.04147608388022170.979261958059889
820.02082970026079970.04165940052159940.9791702997392
830.02050927560989060.04101855121978120.979490724390109
840.01866329175601140.03732658351202280.981336708243989
850.01718754560287870.03437509120575750.982812454397121
860.01440515419985190.02881030839970390.985594845800148
870.01177998166123430.02355996332246860.988220018338766
880.009928386294227590.01985677258845520.990071613705772
890.007809531498357710.01561906299671540.992190468501642
900.006022653077125690.01204530615425140.993977346922874
910.004580369259972080.009160738519944150.995419630740028
920.003458106553907990.006916213107815980.996541893446092
930.002585248024110960.005170496048221910.997414751975889
940.001931429821845630.003862859643691270.998068570178154
950.001440475517741790.002880951035483570.998559524482258
960.001069195292290130.002138390584580260.99893080470771
970.0007791116190797230.001558223238159450.99922088838092
980.0005631927536277570.001126385507255510.999436807246372
990.000406710969255290.0008134219385105790.999593289030745
1000.0002895535781725150.000579107156345030.999710446421827
1010.0002126651401810360.0004253302803620710.999787334859819
1020.0001571402113547430.0003142804227094850.999842859788645
1030.0001112533536989230.0002225067073978460.999888746646301
1047.72868560652618e-050.0001545737121305240.999922713143935
1055.34969066927154e-050.0001069938133854310.999946503093307
1063.67874561006925e-057.35749122013849e-050.999963212543899
1072.5393733128366e-055.0787466256732e-050.999974606266872
1081.74397854759994e-053.48795709519987e-050.999982560214524
1091.18413435256532e-052.36826870513064e-050.999988158656474
1107.96619132592532e-061.59323826518506e-050.999992033808674
1115.36755535482596e-061.07351107096519e-050.999994632444645
1123.54127132414759e-067.08254264829519e-060.999996458728676
1132.32189338924436e-064.64378677848872e-060.999997678106611
1141.57196323725914e-063.14392647451828e-060.999998428036763
1151.02104880155916e-062.04209760311832e-060.999998978951198
1166.5910917268758e-071.31821834537516e-060.999999340890827
1174.22704330627278e-078.45408661254557e-070.999999577295669
1182.75955080694564e-075.51910161389128e-070.999999724044919
1192.15330693461613e-074.30661386923227e-070.999999784669307
1201.8604866596728e-073.72097331934559e-070.999999813951334
1212.70602516879268e-075.41205033758536e-070.999999729397483
1228.08116937413362e-071.61623387482672e-060.999999191883063
1233.06242799355916e-066.12485598711832e-060.999996937572006
1241.34320135237392e-052.68640270474785e-050.999986567986476
1254.46655500078961e-058.93311000157921e-050.999955334449992
1260.0001197760134387960.0002395520268775920.999880223986561
1270.0002800730405977010.0005601460811954010.999719926959402
1280.0004963991562669250.0009927983125338510.999503600843733
1290.0005936114241772980.00118722284835460.999406388575823
1300.0006388656134688050.001277731226937610.999361134386531
1310.0006048980657467370.001209796131493470.999395101934253
1320.0006531668316947820.001306333663389560.999346833168305
1330.0006652421699488930.001330484339897790.999334757830051
1340.00063766824536450.0012753364907290.999362331754636
1350.0005591769772429950.001118353954485990.999440823022757
1360.0004445371814606550.000889074362921310.999555462818539
1370.0003529305840741410.0007058611681482810.999647069415926
1380.0002651718419933780.0005303436839867550.999734828158007
1390.0002003351414960260.0004006702829920510.999799664858504
1400.0001514781842739410.0003029563685478820.999848521815726
1410.0001145221406488340.0002290442812976680.999885477859351
1428.97027561842691e-050.0001794055123685380.999910297243816
1437.43557326688885e-050.0001487114653377770.999925644267331
1445.87440787828724e-050.0001174881575657450.999941255921217
1454.47639857181449e-058.95279714362898e-050.999955236014282
1463.31680421771896e-056.63360843543792e-050.999966831957823
1472.63672292067049e-055.27344584134098e-050.999973632770793
1482.03512226304024e-054.07024452608048e-050.99997964877737
1491.57496546633977e-053.14993093267954e-050.999984250345337
1501.21265046191533e-052.42530092383066e-050.999987873495381
1519.12600146918579e-061.82520029383716e-050.999990873998531
1527.14785279332243e-061.42957055866449e-050.999992852147207
1535.27762796078643e-061.05552559215729e-050.999994722372039
1544.40640381640771e-068.81280763281542e-060.999995593596184
1554.12499719819866e-068.24999439639731e-060.999995875002802
1565.64132172378475e-061.12826434475695e-050.999994358678276
1578.98498626418504e-061.79699725283701e-050.999991015013736
1581.81013353041293e-053.62026706082587e-050.999981898664696
1593.49835891964552e-056.99671783929104e-050.999965016410804
1605.71391145673307e-050.0001142782291346610.999942860885433
1619.31857227369426e-050.0001863714454738850.999906814277263
1620.000147882685577350.00029576537115470.999852117314423
1630.0002063179502475540.0004126359004951090.999793682049752
1640.000248051796000580.000496103592001160.999751948203999
1650.0002612048880260880.0005224097760521760.999738795111974
1660.0002764528026438820.0005529056052877630.999723547197356
1670.0002789449012465260.0005578898024930520.999721055098753
1680.0003004059553491440.0006008119106982880.999699594044651
1690.0002990310154055550.000598062030811110.999700968984594
1700.0002819456338474210.0005638912676948430.999718054366153
1710.0002794313672544590.0005588627345089170.999720568632745
1720.0002834838243198240.0005669676486396490.99971651617568
1730.00032533199396090.00065066398792180.999674668006039
1740.0002889902089234380.0005779804178468750.999711009791077
1750.0002632399061994830.0005264798123989650.999736760093801
1760.0002561811544578320.0005123623089156630.999743818845542
1770.0002373335280985680.0004746670561971360.999762666471901
1780.0002198350973174780.0004396701946349550.999780164902683
1790.0002234737786843090.0004469475573686180.999776526221316
1800.0002391893736143120.0004783787472286240.999760810626386
1810.0002615803435903740.0005231606871807480.99973841965641
1820.0003157299521959450.000631459904391890.999684270047804
1830.0003633020190540050.000726604038108010.999636697980946
1840.0004309605611010280.0008619211222020570.999569039438899
1850.0005763478028281250.001152695605656250.999423652197172
1860.0006240925085355690.001248185017071140.999375907491464
1870.0006654463377210150.001330892675442030.999334553662279
1880.0007061806382955690.001412361276591140.999293819361704
1890.0007257548020378120.001451509604075620.999274245197962
1900.0007739410321183770.001547882064236750.999226058967882
1910.0009562546078481770.001912509215696350.999043745392152
1920.001208456553822970.002416913107645950.998791543446177
1930.001461129317665240.002922258635330480.998538870682335
1940.001722647397296450.003445294794592910.998277352602704
1950.002124319693669620.004248639387339240.99787568030633
1960.00276951147228650.005539022944572990.997230488527713
1970.003707169158403940.007414338316807880.996292830841596
1980.004329541447405340.008659082894810680.995670458552595
1990.004633960238598040.009267920477196080.995366039761402
2000.005170571264184510.0103411425283690.994829428735815
2010.005579033108675170.01115806621735030.994420966891325
2020.006232204517441640.01246440903488330.993767795482558
2030.007210616748456720.01442123349691340.992789383251543
2040.00894380121375930.01788760242751860.991056198786241
2050.01006952452299750.0201390490459950.989930475477003
2060.01177566714147530.02355133428295060.988224332858525
2070.01378539686648450.02757079373296890.986214603133515
2080.0172873820699430.0345747641398860.982712617930057
2090.02225002000304590.04450004000609190.977749979996954
2100.02400415834338490.04800831668676980.975995841656615
2110.02538655778828570.05077311557657140.974613442211714
2120.02718011756330530.05436023512661070.972819882436695
2130.02840619979740650.05681239959481310.971593800202593
2140.02992220647887090.05984441295774190.970077793521129
2150.03261960218919340.06523920437838680.967380397810807
2160.03688956731292050.07377913462584090.96311043268708
2170.04047083210955290.08094166421910570.959529167890447
2180.04674817957947630.09349635915895260.953251820420524
2190.05242855158827190.1048571031765440.947571448411728
2200.05852309354683790.1170461870936760.941476906453162
2210.06533498331041660.1306699666208330.934665016689583
2220.06350398527868970.1270079705573790.93649601472131
2230.06317008702064210.1263401740412840.936829912979358
2240.06250530012505610.1250106002501120.937494699874944
2250.06163107778198360.1232621555639670.938368922218016
2260.06008986757077470.1201797351415490.939910132429225
2270.0601941651361360.1203883302722720.939805834863864
2280.06105813309146240.1221162661829250.938941866908538
2290.06122305811078850.1224461162215770.938776941889211
2300.06207116097991640.1241423219598330.937928839020084
2310.06313279943419070.1262655988683810.936867200565809
2320.06391184303901560.1278236860780310.936088156960984
2330.06554641232997780.1310928246599560.934453587670022
2340.05957510189290380.1191502037858080.940424898107096
2350.05429651900975870.1085930380195170.945703480990241
2360.04958568219825120.09917136439650240.950414317801749
2370.04440197368240070.08880394736480150.955598026317599
2380.04041149052935160.08082298105870310.959588509470648
2390.03683752905634360.07367505811268710.963162470943656
2400.03439920954799790.06879841909599580.965600790452002
2410.03376874119106230.06753748238212460.966231258808938
2420.03191626929490460.06383253858980920.968083730705095
2430.03129900551333080.06259801102666150.968700994486669
2440.03118695630645920.06237391261291840.968813043693541
2450.03092924817879510.06185849635759020.969070751821205
2460.02649852873858030.05299705747716050.97350147126142
2470.02307739986603260.04615479973206530.976922600133967
2480.02057541372238080.04115082744476150.979424586277619
2490.01825318271901870.03650636543803740.981746817280981
2500.01591502646844630.03183005293689270.984084973531554
2510.01436820568526340.02873641137052680.985631794314737
2520.01371027620210610.02742055240421220.986289723797894
2530.01579631976451720.03159263952903440.984203680235483
2540.01871673497448680.03743346994897370.981283265025513
2550.02134092662984750.04268185325969510.978659073370152
2560.0216251634687030.0432503269374060.978374836531297
2570.0219617601315230.04392352026304610.978038239868477
2580.02064392344359090.04128784688718190.979356076556409
2590.0194365967843920.03887319356878390.980563403215608
2600.0182824442827770.03656488856555390.981717555717223
2610.01609856706082480.03219713412164960.983901432939175
2620.01387793059613180.02775586119226370.986122069403868
2630.01341528443199050.0268305688639810.98658471556801
2640.01351774320462190.02703548640924370.986482256795378
2650.01542952609890680.03085905219781350.984570473901093
2660.01528938952270960.03057877904541910.98471061047729
2670.01406684815855140.02813369631710270.985933151841449
2680.0118003669706390.0236007339412780.988199633029361
2690.009648984359817760.01929796871963550.990351015640182
2700.008042767341842370.01608553468368470.991957232658158
2710.006716031861129580.01343206372225920.99328396813887
2720.005570381271306040.01114076254261210.994429618728694
2730.004800451635995430.009600903271990860.995199548364005
2740.004261379752655050.008522759505310090.995738620247345
2750.003963536271241140.007927072542482280.996036463728759
2760.003714750929173150.007429501858346290.996285249070827
2770.003401002605035550.00680200521007110.996598997394964
2780.003023063407148140.006046126814296280.996976936592852
2790.002636437025030830.005272874050061660.997363562974969
2800.002246714903713180.004493429807426360.997753285096287
2810.001871997500375950.003743995000751890.998128002499624
2820.001717295595364520.003434591190729030.998282704404636
2830.001613666524140330.003227333048280670.99838633347586
2840.001550377575091830.003100755150183660.998449622424908
2850.001440428195394010.002880856390788010.998559571804606
2860.001283114548753930.002566229097507860.998716885451246
2870.001160336208810150.00232067241762030.99883966379119
2880.000993099807246660.001986199614493320.999006900192753
2890.0008204625281092340.001640925056218470.999179537471891
2900.0006542974070650830.001308594814130170.999345702592935
2910.0005173314084545470.001034662816909090.999482668591545
2920.0003951390321036470.0007902780642072940.999604860967896
2930.0002921534071478430.0005843068142956860.999707846592852
2940.0002301753516315470.0004603507032630940.999769824648368
2950.0001788453143202460.0003576906286404920.99982115468568
2960.0001376028523083780.0002752057046167550.999862397147692
2970.000104448564304350.00020889712860870.999895551435696
2987.78610969688504e-050.0001557221939377010.999922138903031
2995.57735806067872e-050.0001115471612135740.999944226419393
3004.04688735184164e-058.09377470368328e-050.999959531126482
3014.35977872951006e-058.71955745902013e-050.999956402212705
3024.50237122153242e-059.00474244306484e-050.999954976287785
3034.81828882952686e-059.63657765905371e-050.999951817111705
3044.33447121867853e-058.66894243735706e-050.999956655287813
3054.15129184511993e-058.30258369023986e-050.999958487081549
3064.3937568424457e-058.78751368489141e-050.999956062431576
3075.26607579116606e-050.0001053215158233210.999947339242088
3086.5906195260862e-050.0001318123905217240.999934093804739
3098.35980276708222e-050.0001671960553416440.999916401972329
3100.0001323851955843610.0002647703911687220.999867614804416
3110.0002213325278783550.0004426650557567110.999778667472122
3120.0004115826762511340.0008231653525022670.999588417323749
3130.001448472699296430.002896945398592870.998551527300704
3140.004973330644883820.009946661289767630.995026669355116
3150.01999962003805270.03999924007610550.980000379961947
3160.06113288350845420.1222657670169080.938867116491546
3170.155852075782470.311704151564940.84414792421753
3180.3496114726947360.6992229453894710.650388527305264
3190.6476623281623020.7046753436753970.352337671837699
3200.9266566610483790.1466866779032420.0733433389516211
3210.9926917628640690.01461647427186150.00730823713593073
3220.9999402921668530.000119415666293065.97078331465302e-05
3230.9999999651079446.97841112963618e-083.48920556481809e-08
3240.9999999999993261.3486287800617e-126.74314390030851e-13
3250.9999999999999041.91466545653602e-139.5733272826801e-14
3260.9999999999999735.48582628733214e-142.74291314366607e-14
3270.999999999999959.92858004591839e-144.96429002295919e-14
3280.9999999999999251.50080651178775e-137.50403255893875e-14
3290.9999999999999627.53232717590516e-143.76616358795258e-14
3300.9999999999999461.07453032733337e-135.37265163666686e-14
3310.9999999999998632.73200258438173e-131.36600129219087e-13
3320.9999999999996497.02822907031707e-133.51411453515854e-13
3330.9999999999989652.07006233604921e-121.0350311680246e-12
3340.9999999999968976.20543893265343e-123.10271946632672e-12
3350.9999999999946361.07286996605326e-115.36434983026631e-12
3360.9999999999868412.63181667673306e-111.31590833836653e-11
3370.9999999999580638.38734213553388e-114.19367106776694e-11
3380.9999999999208141.58371383511764e-107.91856917558822e-11
3390.9999999999201031.59794716703244e-107.98973583516219e-11
3400.9999999997628474.74306454410179e-102.37153227205089e-10
3410.9999999998622142.75571849905799e-101.37785924952899e-10
3420.9999999996991956.0161002786799e-103.00805013933995e-10
3430.999999999004851.99030041685641e-099.95150208428206e-10
3440.999999995911858.17630029480715e-094.08815014740358e-09
3450.9999999871359372.57281253578086e-081.28640626789043e-08
3460.9999999508828929.82342156129857e-084.91171078064929e-08
3470.999999772528414.54943180670552e-072.27471590335276e-07
3480.9999988906824272.21863514665162e-061.10931757332581e-06
3490.9999952752303599.44953928232765e-064.72476964116382e-06
3500.9999964822264517.03554709786452e-063.51777354893226e-06
3510.9999911992731051.76014537902646e-058.80072689513232e-06
3520.9999588100844548.23798310922404e-054.11899155461202e-05
3530.9997651957373450.0004696085253105510.000234804262655276
3540.9997012949169690.0005974101660615170.000298705083030758
3550.9981846924050110.003630615189977440.00181530759498872
3560.9918338459448530.01633230811029410.00816615405514704

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
16 & 0.000399178512635826 & 0.000798357025271652 & 0.999600821487364 \tabularnewline
17 & 0.00545991681860454 & 0.0109198336372091 & 0.994540083181395 \tabularnewline
18 & 0.00411753782965192 & 0.00823507565930385 & 0.995882462170348 \tabularnewline
19 & 0.00637570237606128 & 0.0127514047521226 & 0.993624297623939 \tabularnewline
20 & 0.00338128175511517 & 0.00676256351023035 & 0.996618718244885 \tabularnewline
21 & 0.00135724937088816 & 0.00271449874177632 & 0.998642750629112 \tabularnewline
22 & 0.00114644940941755 & 0.0022928988188351 & 0.998853550590582 \tabularnewline
23 & 0.000420720753556694 & 0.000841441507113388 & 0.999579279246443 \tabularnewline
24 & 0.000145665302782798 & 0.000291330605565597 & 0.999854334697217 \tabularnewline
25 & 4.85615086243529e-05 & 9.71230172487058e-05 & 0.999951438491376 \tabularnewline
26 & 2.18707346218092e-05 & 4.37414692436184e-05 & 0.999978129265378 \tabularnewline
27 & 1.93823739557941e-05 & 3.87647479115883e-05 & 0.999980617626044 \tabularnewline
28 & 5.35346640480999e-05 & 0.0001070693280962 & 0.999946465335952 \tabularnewline
29 & 0.000189443590562915 & 0.000378887181125829 & 0.999810556409437 \tabularnewline
30 & 0.000444766373404704 & 0.000889532746809409 & 0.999555233626595 \tabularnewline
31 & 0.0016806105188261 & 0.00336122103765221 & 0.998319389481174 \tabularnewline
32 & 0.00676285371772786 & 0.0135257074354557 & 0.993237146282272 \tabularnewline
33 & 0.0122129188737802 & 0.0244258377475605 & 0.98778708112622 \tabularnewline
34 & 0.0254733374816814 & 0.0509466749633628 & 0.974526662518319 \tabularnewline
35 & 0.0314085519118058 & 0.0628171038236117 & 0.968591448088194 \tabularnewline
36 & 0.0377129535930308 & 0.0754259071860616 & 0.962287046406969 \tabularnewline
37 & 0.05800570427693 & 0.11601140855386 & 0.94199429572307 \tabularnewline
38 & 0.102490982662226 & 0.204981965324452 & 0.897509017337774 \tabularnewline
39 & 0.138726256395225 & 0.277452512790451 & 0.861273743604775 \tabularnewline
40 & 0.169503466453696 & 0.339006932907391 & 0.830496533546304 \tabularnewline
41 & 0.188670521824274 & 0.377341043648548 & 0.811329478175726 \tabularnewline
42 & 0.200514187195144 & 0.401028374390289 & 0.799485812804856 \tabularnewline
43 & 0.213531737636849 & 0.427063475273698 & 0.786468262363151 \tabularnewline
44 & 0.208208345144114 & 0.416416690288228 & 0.791791654855886 \tabularnewline
45 & 0.185744988547286 & 0.371489977094572 & 0.814255011452714 \tabularnewline
46 & 0.161520532640513 & 0.323041065281026 & 0.838479467359487 \tabularnewline
47 & 0.136163681642835 & 0.27232736328567 & 0.863836318357165 \tabularnewline
48 & 0.120646139894827 & 0.241292279789654 & 0.879353860105173 \tabularnewline
49 & 0.103316653160991 & 0.206633306321982 & 0.896683346839009 \tabularnewline
50 & 0.0904324552078301 & 0.18086491041566 & 0.90956754479217 \tabularnewline
51 & 0.0801768997009603 & 0.160353799401921 & 0.91982310029904 \tabularnewline
52 & 0.0667730716451809 & 0.133546143290362 & 0.933226928354819 \tabularnewline
53 & 0.053576113671498 & 0.107152227342996 & 0.946423886328502 \tabularnewline
54 & 0.0438596203765383 & 0.0877192407530766 & 0.956140379623462 \tabularnewline
55 & 0.0350823770058382 & 0.0701647540116764 & 0.964917622994162 \tabularnewline
56 & 0.0268112819413435 & 0.053622563882687 & 0.973188718058656 \tabularnewline
57 & 0.0203822206239281 & 0.0407644412478562 & 0.979617779376072 \tabularnewline
58 & 0.0154841434686789 & 0.0309682869373578 & 0.984515856531321 \tabularnewline
59 & 0.0117379677617546 & 0.0234759355235092 & 0.988262032238245 \tabularnewline
60 & 0.00897149261060917 & 0.0179429852212183 & 0.991028507389391 \tabularnewline
61 & 0.00659815355483015 & 0.0131963071096603 & 0.99340184644517 \tabularnewline
62 & 0.0052258482619313 & 0.0104516965238626 & 0.994774151738069 \tabularnewline
63 & 0.00395384948428137 & 0.00790769896856274 & 0.996046150515719 \tabularnewline
64 & 0.00281760532317323 & 0.00563521064634646 & 0.997182394676827 \tabularnewline
65 & 0.00200205640836717 & 0.00400411281673433 & 0.997997943591633 \tabularnewline
66 & 0.00150501656383119 & 0.00301003312766237 & 0.998494983436169 \tabularnewline
67 & 0.00111407115071733 & 0.00222814230143465 & 0.998885928849283 \tabularnewline
68 & 0.000789616676108043 & 0.00157923335221609 & 0.999210383323892 \tabularnewline
69 & 0.000540613908012835 & 0.00108122781602567 & 0.999459386091987 \tabularnewline
70 & 0.000371214342230059 & 0.000742428684460118 & 0.99962878565777 \tabularnewline
71 & 0.000272738233522255 & 0.00054547646704451 & 0.999727261766478 \tabularnewline
72 & 0.000233191255085327 & 0.000466382510170655 & 0.999766808744915 \tabularnewline
73 & 0.000411839639189724 & 0.000823679278379448 & 0.99958816036081 \tabularnewline
74 & 0.000876514219583316 & 0.00175302843916663 & 0.999123485780417 \tabularnewline
75 & 0.00219429504498294 & 0.00438859008996587 & 0.997805704955017 \tabularnewline
76 & 0.00489972790920427 & 0.00979945581840855 & 0.995100272090796 \tabularnewline
77 & 0.00905097351948602 & 0.018101947038972 & 0.990949026480514 \tabularnewline
78 & 0.0113739350083113 & 0.0227478700166226 & 0.988626064991689 \tabularnewline
79 & 0.0135848810265822 & 0.0271697620531644 & 0.986415118973418 \tabularnewline
80 & 0.0167288160530486 & 0.0334576321060971 & 0.983271183946951 \tabularnewline
81 & 0.0207380419401108 & 0.0414760838802217 & 0.979261958059889 \tabularnewline
82 & 0.0208297002607997 & 0.0416594005215994 & 0.9791702997392 \tabularnewline
83 & 0.0205092756098906 & 0.0410185512197812 & 0.979490724390109 \tabularnewline
84 & 0.0186632917560114 & 0.0373265835120228 & 0.981336708243989 \tabularnewline
85 & 0.0171875456028787 & 0.0343750912057575 & 0.982812454397121 \tabularnewline
86 & 0.0144051541998519 & 0.0288103083997039 & 0.985594845800148 \tabularnewline
87 & 0.0117799816612343 & 0.0235599633224686 & 0.988220018338766 \tabularnewline
88 & 0.00992838629422759 & 0.0198567725884552 & 0.990071613705772 \tabularnewline
89 & 0.00780953149835771 & 0.0156190629967154 & 0.992190468501642 \tabularnewline
90 & 0.00602265307712569 & 0.0120453061542514 & 0.993977346922874 \tabularnewline
91 & 0.00458036925997208 & 0.00916073851994415 & 0.995419630740028 \tabularnewline
92 & 0.00345810655390799 & 0.00691621310781598 & 0.996541893446092 \tabularnewline
93 & 0.00258524802411096 & 0.00517049604822191 & 0.997414751975889 \tabularnewline
94 & 0.00193142982184563 & 0.00386285964369127 & 0.998068570178154 \tabularnewline
95 & 0.00144047551774179 & 0.00288095103548357 & 0.998559524482258 \tabularnewline
96 & 0.00106919529229013 & 0.00213839058458026 & 0.99893080470771 \tabularnewline
97 & 0.000779111619079723 & 0.00155822323815945 & 0.99922088838092 \tabularnewline
98 & 0.000563192753627757 & 0.00112638550725551 & 0.999436807246372 \tabularnewline
99 & 0.00040671096925529 & 0.000813421938510579 & 0.999593289030745 \tabularnewline
100 & 0.000289553578172515 & 0.00057910715634503 & 0.999710446421827 \tabularnewline
101 & 0.000212665140181036 & 0.000425330280362071 & 0.999787334859819 \tabularnewline
102 & 0.000157140211354743 & 0.000314280422709485 & 0.999842859788645 \tabularnewline
103 & 0.000111253353698923 & 0.000222506707397846 & 0.999888746646301 \tabularnewline
104 & 7.72868560652618e-05 & 0.000154573712130524 & 0.999922713143935 \tabularnewline
105 & 5.34969066927154e-05 & 0.000106993813385431 & 0.999946503093307 \tabularnewline
106 & 3.67874561006925e-05 & 7.35749122013849e-05 & 0.999963212543899 \tabularnewline
107 & 2.5393733128366e-05 & 5.0787466256732e-05 & 0.999974606266872 \tabularnewline
108 & 1.74397854759994e-05 & 3.48795709519987e-05 & 0.999982560214524 \tabularnewline
109 & 1.18413435256532e-05 & 2.36826870513064e-05 & 0.999988158656474 \tabularnewline
110 & 7.96619132592532e-06 & 1.59323826518506e-05 & 0.999992033808674 \tabularnewline
111 & 5.36755535482596e-06 & 1.07351107096519e-05 & 0.999994632444645 \tabularnewline
112 & 3.54127132414759e-06 & 7.08254264829519e-06 & 0.999996458728676 \tabularnewline
113 & 2.32189338924436e-06 & 4.64378677848872e-06 & 0.999997678106611 \tabularnewline
114 & 1.57196323725914e-06 & 3.14392647451828e-06 & 0.999998428036763 \tabularnewline
115 & 1.02104880155916e-06 & 2.04209760311832e-06 & 0.999998978951198 \tabularnewline
116 & 6.5910917268758e-07 & 1.31821834537516e-06 & 0.999999340890827 \tabularnewline
117 & 4.22704330627278e-07 & 8.45408661254557e-07 & 0.999999577295669 \tabularnewline
118 & 2.75955080694564e-07 & 5.51910161389128e-07 & 0.999999724044919 \tabularnewline
119 & 2.15330693461613e-07 & 4.30661386923227e-07 & 0.999999784669307 \tabularnewline
120 & 1.8604866596728e-07 & 3.72097331934559e-07 & 0.999999813951334 \tabularnewline
121 & 2.70602516879268e-07 & 5.41205033758536e-07 & 0.999999729397483 \tabularnewline
122 & 8.08116937413362e-07 & 1.61623387482672e-06 & 0.999999191883063 \tabularnewline
123 & 3.06242799355916e-06 & 6.12485598711832e-06 & 0.999996937572006 \tabularnewline
124 & 1.34320135237392e-05 & 2.68640270474785e-05 & 0.999986567986476 \tabularnewline
125 & 4.46655500078961e-05 & 8.93311000157921e-05 & 0.999955334449992 \tabularnewline
126 & 0.000119776013438796 & 0.000239552026877592 & 0.999880223986561 \tabularnewline
127 & 0.000280073040597701 & 0.000560146081195401 & 0.999719926959402 \tabularnewline
128 & 0.000496399156266925 & 0.000992798312533851 & 0.999503600843733 \tabularnewline
129 & 0.000593611424177298 & 0.0011872228483546 & 0.999406388575823 \tabularnewline
130 & 0.000638865613468805 & 0.00127773122693761 & 0.999361134386531 \tabularnewline
131 & 0.000604898065746737 & 0.00120979613149347 & 0.999395101934253 \tabularnewline
132 & 0.000653166831694782 & 0.00130633366338956 & 0.999346833168305 \tabularnewline
133 & 0.000665242169948893 & 0.00133048433989779 & 0.999334757830051 \tabularnewline
134 & 0.0006376682453645 & 0.001275336490729 & 0.999362331754636 \tabularnewline
135 & 0.000559176977242995 & 0.00111835395448599 & 0.999440823022757 \tabularnewline
136 & 0.000444537181460655 & 0.00088907436292131 & 0.999555462818539 \tabularnewline
137 & 0.000352930584074141 & 0.000705861168148281 & 0.999647069415926 \tabularnewline
138 & 0.000265171841993378 & 0.000530343683986755 & 0.999734828158007 \tabularnewline
139 & 0.000200335141496026 & 0.000400670282992051 & 0.999799664858504 \tabularnewline
140 & 0.000151478184273941 & 0.000302956368547882 & 0.999848521815726 \tabularnewline
141 & 0.000114522140648834 & 0.000229044281297668 & 0.999885477859351 \tabularnewline
142 & 8.97027561842691e-05 & 0.000179405512368538 & 0.999910297243816 \tabularnewline
143 & 7.43557326688885e-05 & 0.000148711465337777 & 0.999925644267331 \tabularnewline
144 & 5.87440787828724e-05 & 0.000117488157565745 & 0.999941255921217 \tabularnewline
145 & 4.47639857181449e-05 & 8.95279714362898e-05 & 0.999955236014282 \tabularnewline
146 & 3.31680421771896e-05 & 6.63360843543792e-05 & 0.999966831957823 \tabularnewline
147 & 2.63672292067049e-05 & 5.27344584134098e-05 & 0.999973632770793 \tabularnewline
148 & 2.03512226304024e-05 & 4.07024452608048e-05 & 0.99997964877737 \tabularnewline
149 & 1.57496546633977e-05 & 3.14993093267954e-05 & 0.999984250345337 \tabularnewline
150 & 1.21265046191533e-05 & 2.42530092383066e-05 & 0.999987873495381 \tabularnewline
151 & 9.12600146918579e-06 & 1.82520029383716e-05 & 0.999990873998531 \tabularnewline
152 & 7.14785279332243e-06 & 1.42957055866449e-05 & 0.999992852147207 \tabularnewline
153 & 5.27762796078643e-06 & 1.05552559215729e-05 & 0.999994722372039 \tabularnewline
154 & 4.40640381640771e-06 & 8.81280763281542e-06 & 0.999995593596184 \tabularnewline
155 & 4.12499719819866e-06 & 8.24999439639731e-06 & 0.999995875002802 \tabularnewline
156 & 5.64132172378475e-06 & 1.12826434475695e-05 & 0.999994358678276 \tabularnewline
157 & 8.98498626418504e-06 & 1.79699725283701e-05 & 0.999991015013736 \tabularnewline
158 & 1.81013353041293e-05 & 3.62026706082587e-05 & 0.999981898664696 \tabularnewline
159 & 3.49835891964552e-05 & 6.99671783929104e-05 & 0.999965016410804 \tabularnewline
160 & 5.71391145673307e-05 & 0.000114278229134661 & 0.999942860885433 \tabularnewline
161 & 9.31857227369426e-05 & 0.000186371445473885 & 0.999906814277263 \tabularnewline
162 & 0.00014788268557735 & 0.0002957653711547 & 0.999852117314423 \tabularnewline
163 & 0.000206317950247554 & 0.000412635900495109 & 0.999793682049752 \tabularnewline
164 & 0.00024805179600058 & 0.00049610359200116 & 0.999751948203999 \tabularnewline
165 & 0.000261204888026088 & 0.000522409776052176 & 0.999738795111974 \tabularnewline
166 & 0.000276452802643882 & 0.000552905605287763 & 0.999723547197356 \tabularnewline
167 & 0.000278944901246526 & 0.000557889802493052 & 0.999721055098753 \tabularnewline
168 & 0.000300405955349144 & 0.000600811910698288 & 0.999699594044651 \tabularnewline
169 & 0.000299031015405555 & 0.00059806203081111 & 0.999700968984594 \tabularnewline
170 & 0.000281945633847421 & 0.000563891267694843 & 0.999718054366153 \tabularnewline
171 & 0.000279431367254459 & 0.000558862734508917 & 0.999720568632745 \tabularnewline
172 & 0.000283483824319824 & 0.000566967648639649 & 0.99971651617568 \tabularnewline
173 & 0.0003253319939609 & 0.0006506639879218 & 0.999674668006039 \tabularnewline
174 & 0.000288990208923438 & 0.000577980417846875 & 0.999711009791077 \tabularnewline
175 & 0.000263239906199483 & 0.000526479812398965 & 0.999736760093801 \tabularnewline
176 & 0.000256181154457832 & 0.000512362308915663 & 0.999743818845542 \tabularnewline
177 & 0.000237333528098568 & 0.000474667056197136 & 0.999762666471901 \tabularnewline
178 & 0.000219835097317478 & 0.000439670194634955 & 0.999780164902683 \tabularnewline
179 & 0.000223473778684309 & 0.000446947557368618 & 0.999776526221316 \tabularnewline
180 & 0.000239189373614312 & 0.000478378747228624 & 0.999760810626386 \tabularnewline
181 & 0.000261580343590374 & 0.000523160687180748 & 0.99973841965641 \tabularnewline
182 & 0.000315729952195945 & 0.00063145990439189 & 0.999684270047804 \tabularnewline
183 & 0.000363302019054005 & 0.00072660403810801 & 0.999636697980946 \tabularnewline
184 & 0.000430960561101028 & 0.000861921122202057 & 0.999569039438899 \tabularnewline
185 & 0.000576347802828125 & 0.00115269560565625 & 0.999423652197172 \tabularnewline
186 & 0.000624092508535569 & 0.00124818501707114 & 0.999375907491464 \tabularnewline
187 & 0.000665446337721015 & 0.00133089267544203 & 0.999334553662279 \tabularnewline
188 & 0.000706180638295569 & 0.00141236127659114 & 0.999293819361704 \tabularnewline
189 & 0.000725754802037812 & 0.00145150960407562 & 0.999274245197962 \tabularnewline
190 & 0.000773941032118377 & 0.00154788206423675 & 0.999226058967882 \tabularnewline
191 & 0.000956254607848177 & 0.00191250921569635 & 0.999043745392152 \tabularnewline
192 & 0.00120845655382297 & 0.00241691310764595 & 0.998791543446177 \tabularnewline
193 & 0.00146112931766524 & 0.00292225863533048 & 0.998538870682335 \tabularnewline
194 & 0.00172264739729645 & 0.00344529479459291 & 0.998277352602704 \tabularnewline
195 & 0.00212431969366962 & 0.00424863938733924 & 0.99787568030633 \tabularnewline
196 & 0.0027695114722865 & 0.00553902294457299 & 0.997230488527713 \tabularnewline
197 & 0.00370716915840394 & 0.00741433831680788 & 0.996292830841596 \tabularnewline
198 & 0.00432954144740534 & 0.00865908289481068 & 0.995670458552595 \tabularnewline
199 & 0.00463396023859804 & 0.00926792047719608 & 0.995366039761402 \tabularnewline
200 & 0.00517057126418451 & 0.010341142528369 & 0.994829428735815 \tabularnewline
201 & 0.00557903310867517 & 0.0111580662173503 & 0.994420966891325 \tabularnewline
202 & 0.00623220451744164 & 0.0124644090348833 & 0.993767795482558 \tabularnewline
203 & 0.00721061674845672 & 0.0144212334969134 & 0.992789383251543 \tabularnewline
204 & 0.0089438012137593 & 0.0178876024275186 & 0.991056198786241 \tabularnewline
205 & 0.0100695245229975 & 0.020139049045995 & 0.989930475477003 \tabularnewline
206 & 0.0117756671414753 & 0.0235513342829506 & 0.988224332858525 \tabularnewline
207 & 0.0137853968664845 & 0.0275707937329689 & 0.986214603133515 \tabularnewline
208 & 0.017287382069943 & 0.034574764139886 & 0.982712617930057 \tabularnewline
209 & 0.0222500200030459 & 0.0445000400060919 & 0.977749979996954 \tabularnewline
210 & 0.0240041583433849 & 0.0480083166867698 & 0.975995841656615 \tabularnewline
211 & 0.0253865577882857 & 0.0507731155765714 & 0.974613442211714 \tabularnewline
212 & 0.0271801175633053 & 0.0543602351266107 & 0.972819882436695 \tabularnewline
213 & 0.0284061997974065 & 0.0568123995948131 & 0.971593800202593 \tabularnewline
214 & 0.0299222064788709 & 0.0598444129577419 & 0.970077793521129 \tabularnewline
215 & 0.0326196021891934 & 0.0652392043783868 & 0.967380397810807 \tabularnewline
216 & 0.0368895673129205 & 0.0737791346258409 & 0.96311043268708 \tabularnewline
217 & 0.0404708321095529 & 0.0809416642191057 & 0.959529167890447 \tabularnewline
218 & 0.0467481795794763 & 0.0934963591589526 & 0.953251820420524 \tabularnewline
219 & 0.0524285515882719 & 0.104857103176544 & 0.947571448411728 \tabularnewline
220 & 0.0585230935468379 & 0.117046187093676 & 0.941476906453162 \tabularnewline
221 & 0.0653349833104166 & 0.130669966620833 & 0.934665016689583 \tabularnewline
222 & 0.0635039852786897 & 0.127007970557379 & 0.93649601472131 \tabularnewline
223 & 0.0631700870206421 & 0.126340174041284 & 0.936829912979358 \tabularnewline
224 & 0.0625053001250561 & 0.125010600250112 & 0.937494699874944 \tabularnewline
225 & 0.0616310777819836 & 0.123262155563967 & 0.938368922218016 \tabularnewline
226 & 0.0600898675707747 & 0.120179735141549 & 0.939910132429225 \tabularnewline
227 & 0.060194165136136 & 0.120388330272272 & 0.939805834863864 \tabularnewline
228 & 0.0610581330914624 & 0.122116266182925 & 0.938941866908538 \tabularnewline
229 & 0.0612230581107885 & 0.122446116221577 & 0.938776941889211 \tabularnewline
230 & 0.0620711609799164 & 0.124142321959833 & 0.937928839020084 \tabularnewline
231 & 0.0631327994341907 & 0.126265598868381 & 0.936867200565809 \tabularnewline
232 & 0.0639118430390156 & 0.127823686078031 & 0.936088156960984 \tabularnewline
233 & 0.0655464123299778 & 0.131092824659956 & 0.934453587670022 \tabularnewline
234 & 0.0595751018929038 & 0.119150203785808 & 0.940424898107096 \tabularnewline
235 & 0.0542965190097587 & 0.108593038019517 & 0.945703480990241 \tabularnewline
236 & 0.0495856821982512 & 0.0991713643965024 & 0.950414317801749 \tabularnewline
237 & 0.0444019736824007 & 0.0888039473648015 & 0.955598026317599 \tabularnewline
238 & 0.0404114905293516 & 0.0808229810587031 & 0.959588509470648 \tabularnewline
239 & 0.0368375290563436 & 0.0736750581126871 & 0.963162470943656 \tabularnewline
240 & 0.0343992095479979 & 0.0687984190959958 & 0.965600790452002 \tabularnewline
241 & 0.0337687411910623 & 0.0675374823821246 & 0.966231258808938 \tabularnewline
242 & 0.0319162692949046 & 0.0638325385898092 & 0.968083730705095 \tabularnewline
243 & 0.0312990055133308 & 0.0625980110266615 & 0.968700994486669 \tabularnewline
244 & 0.0311869563064592 & 0.0623739126129184 & 0.968813043693541 \tabularnewline
245 & 0.0309292481787951 & 0.0618584963575902 & 0.969070751821205 \tabularnewline
246 & 0.0264985287385803 & 0.0529970574771605 & 0.97350147126142 \tabularnewline
247 & 0.0230773998660326 & 0.0461547997320653 & 0.976922600133967 \tabularnewline
248 & 0.0205754137223808 & 0.0411508274447615 & 0.979424586277619 \tabularnewline
249 & 0.0182531827190187 & 0.0365063654380374 & 0.981746817280981 \tabularnewline
250 & 0.0159150264684463 & 0.0318300529368927 & 0.984084973531554 \tabularnewline
251 & 0.0143682056852634 & 0.0287364113705268 & 0.985631794314737 \tabularnewline
252 & 0.0137102762021061 & 0.0274205524042122 & 0.986289723797894 \tabularnewline
253 & 0.0157963197645172 & 0.0315926395290344 & 0.984203680235483 \tabularnewline
254 & 0.0187167349744868 & 0.0374334699489737 & 0.981283265025513 \tabularnewline
255 & 0.0213409266298475 & 0.0426818532596951 & 0.978659073370152 \tabularnewline
256 & 0.021625163468703 & 0.043250326937406 & 0.978374836531297 \tabularnewline
257 & 0.021961760131523 & 0.0439235202630461 & 0.978038239868477 \tabularnewline
258 & 0.0206439234435909 & 0.0412878468871819 & 0.979356076556409 \tabularnewline
259 & 0.019436596784392 & 0.0388731935687839 & 0.980563403215608 \tabularnewline
260 & 0.018282444282777 & 0.0365648885655539 & 0.981717555717223 \tabularnewline
261 & 0.0160985670608248 & 0.0321971341216496 & 0.983901432939175 \tabularnewline
262 & 0.0138779305961318 & 0.0277558611922637 & 0.986122069403868 \tabularnewline
263 & 0.0134152844319905 & 0.026830568863981 & 0.98658471556801 \tabularnewline
264 & 0.0135177432046219 & 0.0270354864092437 & 0.986482256795378 \tabularnewline
265 & 0.0154295260989068 & 0.0308590521978135 & 0.984570473901093 \tabularnewline
266 & 0.0152893895227096 & 0.0305787790454191 & 0.98471061047729 \tabularnewline
267 & 0.0140668481585514 & 0.0281336963171027 & 0.985933151841449 \tabularnewline
268 & 0.011800366970639 & 0.023600733941278 & 0.988199633029361 \tabularnewline
269 & 0.00964898435981776 & 0.0192979687196355 & 0.990351015640182 \tabularnewline
270 & 0.00804276734184237 & 0.0160855346836847 & 0.991957232658158 \tabularnewline
271 & 0.00671603186112958 & 0.0134320637222592 & 0.99328396813887 \tabularnewline
272 & 0.00557038127130604 & 0.0111407625426121 & 0.994429618728694 \tabularnewline
273 & 0.00480045163599543 & 0.00960090327199086 & 0.995199548364005 \tabularnewline
274 & 0.00426137975265505 & 0.00852275950531009 & 0.995738620247345 \tabularnewline
275 & 0.00396353627124114 & 0.00792707254248228 & 0.996036463728759 \tabularnewline
276 & 0.00371475092917315 & 0.00742950185834629 & 0.996285249070827 \tabularnewline
277 & 0.00340100260503555 & 0.0068020052100711 & 0.996598997394964 \tabularnewline
278 & 0.00302306340714814 & 0.00604612681429628 & 0.996976936592852 \tabularnewline
279 & 0.00263643702503083 & 0.00527287405006166 & 0.997363562974969 \tabularnewline
280 & 0.00224671490371318 & 0.00449342980742636 & 0.997753285096287 \tabularnewline
281 & 0.00187199750037595 & 0.00374399500075189 & 0.998128002499624 \tabularnewline
282 & 0.00171729559536452 & 0.00343459119072903 & 0.998282704404636 \tabularnewline
283 & 0.00161366652414033 & 0.00322733304828067 & 0.99838633347586 \tabularnewline
284 & 0.00155037757509183 & 0.00310075515018366 & 0.998449622424908 \tabularnewline
285 & 0.00144042819539401 & 0.00288085639078801 & 0.998559571804606 \tabularnewline
286 & 0.00128311454875393 & 0.00256622909750786 & 0.998716885451246 \tabularnewline
287 & 0.00116033620881015 & 0.0023206724176203 & 0.99883966379119 \tabularnewline
288 & 0.00099309980724666 & 0.00198619961449332 & 0.999006900192753 \tabularnewline
289 & 0.000820462528109234 & 0.00164092505621847 & 0.999179537471891 \tabularnewline
290 & 0.000654297407065083 & 0.00130859481413017 & 0.999345702592935 \tabularnewline
291 & 0.000517331408454547 & 0.00103466281690909 & 0.999482668591545 \tabularnewline
292 & 0.000395139032103647 & 0.000790278064207294 & 0.999604860967896 \tabularnewline
293 & 0.000292153407147843 & 0.000584306814295686 & 0.999707846592852 \tabularnewline
294 & 0.000230175351631547 & 0.000460350703263094 & 0.999769824648368 \tabularnewline
295 & 0.000178845314320246 & 0.000357690628640492 & 0.99982115468568 \tabularnewline
296 & 0.000137602852308378 & 0.000275205704616755 & 0.999862397147692 \tabularnewline
297 & 0.00010444856430435 & 0.0002088971286087 & 0.999895551435696 \tabularnewline
298 & 7.78610969688504e-05 & 0.000155722193937701 & 0.999922138903031 \tabularnewline
299 & 5.57735806067872e-05 & 0.000111547161213574 & 0.999944226419393 \tabularnewline
300 & 4.04688735184164e-05 & 8.09377470368328e-05 & 0.999959531126482 \tabularnewline
301 & 4.35977872951006e-05 & 8.71955745902013e-05 & 0.999956402212705 \tabularnewline
302 & 4.50237122153242e-05 & 9.00474244306484e-05 & 0.999954976287785 \tabularnewline
303 & 4.81828882952686e-05 & 9.63657765905371e-05 & 0.999951817111705 \tabularnewline
304 & 4.33447121867853e-05 & 8.66894243735706e-05 & 0.999956655287813 \tabularnewline
305 & 4.15129184511993e-05 & 8.30258369023986e-05 & 0.999958487081549 \tabularnewline
306 & 4.3937568424457e-05 & 8.78751368489141e-05 & 0.999956062431576 \tabularnewline
307 & 5.26607579116606e-05 & 0.000105321515823321 & 0.999947339242088 \tabularnewline
308 & 6.5906195260862e-05 & 0.000131812390521724 & 0.999934093804739 \tabularnewline
309 & 8.35980276708222e-05 & 0.000167196055341644 & 0.999916401972329 \tabularnewline
310 & 0.000132385195584361 & 0.000264770391168722 & 0.999867614804416 \tabularnewline
311 & 0.000221332527878355 & 0.000442665055756711 & 0.999778667472122 \tabularnewline
312 & 0.000411582676251134 & 0.000823165352502267 & 0.999588417323749 \tabularnewline
313 & 0.00144847269929643 & 0.00289694539859287 & 0.998551527300704 \tabularnewline
314 & 0.00497333064488382 & 0.00994666128976763 & 0.995026669355116 \tabularnewline
315 & 0.0199996200380527 & 0.0399992400761055 & 0.980000379961947 \tabularnewline
316 & 0.0611328835084542 & 0.122265767016908 & 0.938867116491546 \tabularnewline
317 & 0.15585207578247 & 0.31170415156494 & 0.84414792421753 \tabularnewline
318 & 0.349611472694736 & 0.699222945389471 & 0.650388527305264 \tabularnewline
319 & 0.647662328162302 & 0.704675343675397 & 0.352337671837699 \tabularnewline
320 & 0.926656661048379 & 0.146686677903242 & 0.0733433389516211 \tabularnewline
321 & 0.992691762864069 & 0.0146164742718615 & 0.00730823713593073 \tabularnewline
322 & 0.999940292166853 & 0.00011941566629306 & 5.97078331465302e-05 \tabularnewline
323 & 0.999999965107944 & 6.97841112963618e-08 & 3.48920556481809e-08 \tabularnewline
324 & 0.999999999999326 & 1.3486287800617e-12 & 6.74314390030851e-13 \tabularnewline
325 & 0.999999999999904 & 1.91466545653602e-13 & 9.5733272826801e-14 \tabularnewline
326 & 0.999999999999973 & 5.48582628733214e-14 & 2.74291314366607e-14 \tabularnewline
327 & 0.99999999999995 & 9.92858004591839e-14 & 4.96429002295919e-14 \tabularnewline
328 & 0.999999999999925 & 1.50080651178775e-13 & 7.50403255893875e-14 \tabularnewline
329 & 0.999999999999962 & 7.53232717590516e-14 & 3.76616358795258e-14 \tabularnewline
330 & 0.999999999999946 & 1.07453032733337e-13 & 5.37265163666686e-14 \tabularnewline
331 & 0.999999999999863 & 2.73200258438173e-13 & 1.36600129219087e-13 \tabularnewline
332 & 0.999999999999649 & 7.02822907031707e-13 & 3.51411453515854e-13 \tabularnewline
333 & 0.999999999998965 & 2.07006233604921e-12 & 1.0350311680246e-12 \tabularnewline
334 & 0.999999999996897 & 6.20543893265343e-12 & 3.10271946632672e-12 \tabularnewline
335 & 0.999999999994636 & 1.07286996605326e-11 & 5.36434983026631e-12 \tabularnewline
336 & 0.999999999986841 & 2.63181667673306e-11 & 1.31590833836653e-11 \tabularnewline
337 & 0.999999999958063 & 8.38734213553388e-11 & 4.19367106776694e-11 \tabularnewline
338 & 0.999999999920814 & 1.58371383511764e-10 & 7.91856917558822e-11 \tabularnewline
339 & 0.999999999920103 & 1.59794716703244e-10 & 7.98973583516219e-11 \tabularnewline
340 & 0.999999999762847 & 4.74306454410179e-10 & 2.37153227205089e-10 \tabularnewline
341 & 0.999999999862214 & 2.75571849905799e-10 & 1.37785924952899e-10 \tabularnewline
342 & 0.999999999699195 & 6.0161002786799e-10 & 3.00805013933995e-10 \tabularnewline
343 & 0.99999999900485 & 1.99030041685641e-09 & 9.95150208428206e-10 \tabularnewline
344 & 0.99999999591185 & 8.17630029480715e-09 & 4.08815014740358e-09 \tabularnewline
345 & 0.999999987135937 & 2.57281253578086e-08 & 1.28640626789043e-08 \tabularnewline
346 & 0.999999950882892 & 9.82342156129857e-08 & 4.91171078064929e-08 \tabularnewline
347 & 0.99999977252841 & 4.54943180670552e-07 & 2.27471590335276e-07 \tabularnewline
348 & 0.999998890682427 & 2.21863514665162e-06 & 1.10931757332581e-06 \tabularnewline
349 & 0.999995275230359 & 9.44953928232765e-06 & 4.72476964116382e-06 \tabularnewline
350 & 0.999996482226451 & 7.03554709786452e-06 & 3.51777354893226e-06 \tabularnewline
351 & 0.999991199273105 & 1.76014537902646e-05 & 8.80072689513232e-06 \tabularnewline
352 & 0.999958810084454 & 8.23798310922404e-05 & 4.11899155461202e-05 \tabularnewline
353 & 0.999765195737345 & 0.000469608525310551 & 0.000234804262655276 \tabularnewline
354 & 0.999701294916969 & 0.000597410166061517 & 0.000298705083030758 \tabularnewline
355 & 0.998184692405011 & 0.00363061518997744 & 0.00181530759498872 \tabularnewline
356 & 0.991833845944853 & 0.0163323081102941 & 0.00816615405514704 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=187301&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]16[/C][C]0.000399178512635826[/C][C]0.000798357025271652[/C][C]0.999600821487364[/C][/ROW]
[ROW][C]17[/C][C]0.00545991681860454[/C][C]0.0109198336372091[/C][C]0.994540083181395[/C][/ROW]
[ROW][C]18[/C][C]0.00411753782965192[/C][C]0.00823507565930385[/C][C]0.995882462170348[/C][/ROW]
[ROW][C]19[/C][C]0.00637570237606128[/C][C]0.0127514047521226[/C][C]0.993624297623939[/C][/ROW]
[ROW][C]20[/C][C]0.00338128175511517[/C][C]0.00676256351023035[/C][C]0.996618718244885[/C][/ROW]
[ROW][C]21[/C][C]0.00135724937088816[/C][C]0.00271449874177632[/C][C]0.998642750629112[/C][/ROW]
[ROW][C]22[/C][C]0.00114644940941755[/C][C]0.0022928988188351[/C][C]0.998853550590582[/C][/ROW]
[ROW][C]23[/C][C]0.000420720753556694[/C][C]0.000841441507113388[/C][C]0.999579279246443[/C][/ROW]
[ROW][C]24[/C][C]0.000145665302782798[/C][C]0.000291330605565597[/C][C]0.999854334697217[/C][/ROW]
[ROW][C]25[/C][C]4.85615086243529e-05[/C][C]9.71230172487058e-05[/C][C]0.999951438491376[/C][/ROW]
[ROW][C]26[/C][C]2.18707346218092e-05[/C][C]4.37414692436184e-05[/C][C]0.999978129265378[/C][/ROW]
[ROW][C]27[/C][C]1.93823739557941e-05[/C][C]3.87647479115883e-05[/C][C]0.999980617626044[/C][/ROW]
[ROW][C]28[/C][C]5.35346640480999e-05[/C][C]0.0001070693280962[/C][C]0.999946465335952[/C][/ROW]
[ROW][C]29[/C][C]0.000189443590562915[/C][C]0.000378887181125829[/C][C]0.999810556409437[/C][/ROW]
[ROW][C]30[/C][C]0.000444766373404704[/C][C]0.000889532746809409[/C][C]0.999555233626595[/C][/ROW]
[ROW][C]31[/C][C]0.0016806105188261[/C][C]0.00336122103765221[/C][C]0.998319389481174[/C][/ROW]
[ROW][C]32[/C][C]0.00676285371772786[/C][C]0.0135257074354557[/C][C]0.993237146282272[/C][/ROW]
[ROW][C]33[/C][C]0.0122129188737802[/C][C]0.0244258377475605[/C][C]0.98778708112622[/C][/ROW]
[ROW][C]34[/C][C]0.0254733374816814[/C][C]0.0509466749633628[/C][C]0.974526662518319[/C][/ROW]
[ROW][C]35[/C][C]0.0314085519118058[/C][C]0.0628171038236117[/C][C]0.968591448088194[/C][/ROW]
[ROW][C]36[/C][C]0.0377129535930308[/C][C]0.0754259071860616[/C][C]0.962287046406969[/C][/ROW]
[ROW][C]37[/C][C]0.05800570427693[/C][C]0.11601140855386[/C][C]0.94199429572307[/C][/ROW]
[ROW][C]38[/C][C]0.102490982662226[/C][C]0.204981965324452[/C][C]0.897509017337774[/C][/ROW]
[ROW][C]39[/C][C]0.138726256395225[/C][C]0.277452512790451[/C][C]0.861273743604775[/C][/ROW]
[ROW][C]40[/C][C]0.169503466453696[/C][C]0.339006932907391[/C][C]0.830496533546304[/C][/ROW]
[ROW][C]41[/C][C]0.188670521824274[/C][C]0.377341043648548[/C][C]0.811329478175726[/C][/ROW]
[ROW][C]42[/C][C]0.200514187195144[/C][C]0.401028374390289[/C][C]0.799485812804856[/C][/ROW]
[ROW][C]43[/C][C]0.213531737636849[/C][C]0.427063475273698[/C][C]0.786468262363151[/C][/ROW]
[ROW][C]44[/C][C]0.208208345144114[/C][C]0.416416690288228[/C][C]0.791791654855886[/C][/ROW]
[ROW][C]45[/C][C]0.185744988547286[/C][C]0.371489977094572[/C][C]0.814255011452714[/C][/ROW]
[ROW][C]46[/C][C]0.161520532640513[/C][C]0.323041065281026[/C][C]0.838479467359487[/C][/ROW]
[ROW][C]47[/C][C]0.136163681642835[/C][C]0.27232736328567[/C][C]0.863836318357165[/C][/ROW]
[ROW][C]48[/C][C]0.120646139894827[/C][C]0.241292279789654[/C][C]0.879353860105173[/C][/ROW]
[ROW][C]49[/C][C]0.103316653160991[/C][C]0.206633306321982[/C][C]0.896683346839009[/C][/ROW]
[ROW][C]50[/C][C]0.0904324552078301[/C][C]0.18086491041566[/C][C]0.90956754479217[/C][/ROW]
[ROW][C]51[/C][C]0.0801768997009603[/C][C]0.160353799401921[/C][C]0.91982310029904[/C][/ROW]
[ROW][C]52[/C][C]0.0667730716451809[/C][C]0.133546143290362[/C][C]0.933226928354819[/C][/ROW]
[ROW][C]53[/C][C]0.053576113671498[/C][C]0.107152227342996[/C][C]0.946423886328502[/C][/ROW]
[ROW][C]54[/C][C]0.0438596203765383[/C][C]0.0877192407530766[/C][C]0.956140379623462[/C][/ROW]
[ROW][C]55[/C][C]0.0350823770058382[/C][C]0.0701647540116764[/C][C]0.964917622994162[/C][/ROW]
[ROW][C]56[/C][C]0.0268112819413435[/C][C]0.053622563882687[/C][C]0.973188718058656[/C][/ROW]
[ROW][C]57[/C][C]0.0203822206239281[/C][C]0.0407644412478562[/C][C]0.979617779376072[/C][/ROW]
[ROW][C]58[/C][C]0.0154841434686789[/C][C]0.0309682869373578[/C][C]0.984515856531321[/C][/ROW]
[ROW][C]59[/C][C]0.0117379677617546[/C][C]0.0234759355235092[/C][C]0.988262032238245[/C][/ROW]
[ROW][C]60[/C][C]0.00897149261060917[/C][C]0.0179429852212183[/C][C]0.991028507389391[/C][/ROW]
[ROW][C]61[/C][C]0.00659815355483015[/C][C]0.0131963071096603[/C][C]0.99340184644517[/C][/ROW]
[ROW][C]62[/C][C]0.0052258482619313[/C][C]0.0104516965238626[/C][C]0.994774151738069[/C][/ROW]
[ROW][C]63[/C][C]0.00395384948428137[/C][C]0.00790769896856274[/C][C]0.996046150515719[/C][/ROW]
[ROW][C]64[/C][C]0.00281760532317323[/C][C]0.00563521064634646[/C][C]0.997182394676827[/C][/ROW]
[ROW][C]65[/C][C]0.00200205640836717[/C][C]0.00400411281673433[/C][C]0.997997943591633[/C][/ROW]
[ROW][C]66[/C][C]0.00150501656383119[/C][C]0.00301003312766237[/C][C]0.998494983436169[/C][/ROW]
[ROW][C]67[/C][C]0.00111407115071733[/C][C]0.00222814230143465[/C][C]0.998885928849283[/C][/ROW]
[ROW][C]68[/C][C]0.000789616676108043[/C][C]0.00157923335221609[/C][C]0.999210383323892[/C][/ROW]
[ROW][C]69[/C][C]0.000540613908012835[/C][C]0.00108122781602567[/C][C]0.999459386091987[/C][/ROW]
[ROW][C]70[/C][C]0.000371214342230059[/C][C]0.000742428684460118[/C][C]0.99962878565777[/C][/ROW]
[ROW][C]71[/C][C]0.000272738233522255[/C][C]0.00054547646704451[/C][C]0.999727261766478[/C][/ROW]
[ROW][C]72[/C][C]0.000233191255085327[/C][C]0.000466382510170655[/C][C]0.999766808744915[/C][/ROW]
[ROW][C]73[/C][C]0.000411839639189724[/C][C]0.000823679278379448[/C][C]0.99958816036081[/C][/ROW]
[ROW][C]74[/C][C]0.000876514219583316[/C][C]0.00175302843916663[/C][C]0.999123485780417[/C][/ROW]
[ROW][C]75[/C][C]0.00219429504498294[/C][C]0.00438859008996587[/C][C]0.997805704955017[/C][/ROW]
[ROW][C]76[/C][C]0.00489972790920427[/C][C]0.00979945581840855[/C][C]0.995100272090796[/C][/ROW]
[ROW][C]77[/C][C]0.00905097351948602[/C][C]0.018101947038972[/C][C]0.990949026480514[/C][/ROW]
[ROW][C]78[/C][C]0.0113739350083113[/C][C]0.0227478700166226[/C][C]0.988626064991689[/C][/ROW]
[ROW][C]79[/C][C]0.0135848810265822[/C][C]0.0271697620531644[/C][C]0.986415118973418[/C][/ROW]
[ROW][C]80[/C][C]0.0167288160530486[/C][C]0.0334576321060971[/C][C]0.983271183946951[/C][/ROW]
[ROW][C]81[/C][C]0.0207380419401108[/C][C]0.0414760838802217[/C][C]0.979261958059889[/C][/ROW]
[ROW][C]82[/C][C]0.0208297002607997[/C][C]0.0416594005215994[/C][C]0.9791702997392[/C][/ROW]
[ROW][C]83[/C][C]0.0205092756098906[/C][C]0.0410185512197812[/C][C]0.979490724390109[/C][/ROW]
[ROW][C]84[/C][C]0.0186632917560114[/C][C]0.0373265835120228[/C][C]0.981336708243989[/C][/ROW]
[ROW][C]85[/C][C]0.0171875456028787[/C][C]0.0343750912057575[/C][C]0.982812454397121[/C][/ROW]
[ROW][C]86[/C][C]0.0144051541998519[/C][C]0.0288103083997039[/C][C]0.985594845800148[/C][/ROW]
[ROW][C]87[/C][C]0.0117799816612343[/C][C]0.0235599633224686[/C][C]0.988220018338766[/C][/ROW]
[ROW][C]88[/C][C]0.00992838629422759[/C][C]0.0198567725884552[/C][C]0.990071613705772[/C][/ROW]
[ROW][C]89[/C][C]0.00780953149835771[/C][C]0.0156190629967154[/C][C]0.992190468501642[/C][/ROW]
[ROW][C]90[/C][C]0.00602265307712569[/C][C]0.0120453061542514[/C][C]0.993977346922874[/C][/ROW]
[ROW][C]91[/C][C]0.00458036925997208[/C][C]0.00916073851994415[/C][C]0.995419630740028[/C][/ROW]
[ROW][C]92[/C][C]0.00345810655390799[/C][C]0.00691621310781598[/C][C]0.996541893446092[/C][/ROW]
[ROW][C]93[/C][C]0.00258524802411096[/C][C]0.00517049604822191[/C][C]0.997414751975889[/C][/ROW]
[ROW][C]94[/C][C]0.00193142982184563[/C][C]0.00386285964369127[/C][C]0.998068570178154[/C][/ROW]
[ROW][C]95[/C][C]0.00144047551774179[/C][C]0.00288095103548357[/C][C]0.998559524482258[/C][/ROW]
[ROW][C]96[/C][C]0.00106919529229013[/C][C]0.00213839058458026[/C][C]0.99893080470771[/C][/ROW]
[ROW][C]97[/C][C]0.000779111619079723[/C][C]0.00155822323815945[/C][C]0.99922088838092[/C][/ROW]
[ROW][C]98[/C][C]0.000563192753627757[/C][C]0.00112638550725551[/C][C]0.999436807246372[/C][/ROW]
[ROW][C]99[/C][C]0.00040671096925529[/C][C]0.000813421938510579[/C][C]0.999593289030745[/C][/ROW]
[ROW][C]100[/C][C]0.000289553578172515[/C][C]0.00057910715634503[/C][C]0.999710446421827[/C][/ROW]
[ROW][C]101[/C][C]0.000212665140181036[/C][C]0.000425330280362071[/C][C]0.999787334859819[/C][/ROW]
[ROW][C]102[/C][C]0.000157140211354743[/C][C]0.000314280422709485[/C][C]0.999842859788645[/C][/ROW]
[ROW][C]103[/C][C]0.000111253353698923[/C][C]0.000222506707397846[/C][C]0.999888746646301[/C][/ROW]
[ROW][C]104[/C][C]7.72868560652618e-05[/C][C]0.000154573712130524[/C][C]0.999922713143935[/C][/ROW]
[ROW][C]105[/C][C]5.34969066927154e-05[/C][C]0.000106993813385431[/C][C]0.999946503093307[/C][/ROW]
[ROW][C]106[/C][C]3.67874561006925e-05[/C][C]7.35749122013849e-05[/C][C]0.999963212543899[/C][/ROW]
[ROW][C]107[/C][C]2.5393733128366e-05[/C][C]5.0787466256732e-05[/C][C]0.999974606266872[/C][/ROW]
[ROW][C]108[/C][C]1.74397854759994e-05[/C][C]3.48795709519987e-05[/C][C]0.999982560214524[/C][/ROW]
[ROW][C]109[/C][C]1.18413435256532e-05[/C][C]2.36826870513064e-05[/C][C]0.999988158656474[/C][/ROW]
[ROW][C]110[/C][C]7.96619132592532e-06[/C][C]1.59323826518506e-05[/C][C]0.999992033808674[/C][/ROW]
[ROW][C]111[/C][C]5.36755535482596e-06[/C][C]1.07351107096519e-05[/C][C]0.999994632444645[/C][/ROW]
[ROW][C]112[/C][C]3.54127132414759e-06[/C][C]7.08254264829519e-06[/C][C]0.999996458728676[/C][/ROW]
[ROW][C]113[/C][C]2.32189338924436e-06[/C][C]4.64378677848872e-06[/C][C]0.999997678106611[/C][/ROW]
[ROW][C]114[/C][C]1.57196323725914e-06[/C][C]3.14392647451828e-06[/C][C]0.999998428036763[/C][/ROW]
[ROW][C]115[/C][C]1.02104880155916e-06[/C][C]2.04209760311832e-06[/C][C]0.999998978951198[/C][/ROW]
[ROW][C]116[/C][C]6.5910917268758e-07[/C][C]1.31821834537516e-06[/C][C]0.999999340890827[/C][/ROW]
[ROW][C]117[/C][C]4.22704330627278e-07[/C][C]8.45408661254557e-07[/C][C]0.999999577295669[/C][/ROW]
[ROW][C]118[/C][C]2.75955080694564e-07[/C][C]5.51910161389128e-07[/C][C]0.999999724044919[/C][/ROW]
[ROW][C]119[/C][C]2.15330693461613e-07[/C][C]4.30661386923227e-07[/C][C]0.999999784669307[/C][/ROW]
[ROW][C]120[/C][C]1.8604866596728e-07[/C][C]3.72097331934559e-07[/C][C]0.999999813951334[/C][/ROW]
[ROW][C]121[/C][C]2.70602516879268e-07[/C][C]5.41205033758536e-07[/C][C]0.999999729397483[/C][/ROW]
[ROW][C]122[/C][C]8.08116937413362e-07[/C][C]1.61623387482672e-06[/C][C]0.999999191883063[/C][/ROW]
[ROW][C]123[/C][C]3.06242799355916e-06[/C][C]6.12485598711832e-06[/C][C]0.999996937572006[/C][/ROW]
[ROW][C]124[/C][C]1.34320135237392e-05[/C][C]2.68640270474785e-05[/C][C]0.999986567986476[/C][/ROW]
[ROW][C]125[/C][C]4.46655500078961e-05[/C][C]8.93311000157921e-05[/C][C]0.999955334449992[/C][/ROW]
[ROW][C]126[/C][C]0.000119776013438796[/C][C]0.000239552026877592[/C][C]0.999880223986561[/C][/ROW]
[ROW][C]127[/C][C]0.000280073040597701[/C][C]0.000560146081195401[/C][C]0.999719926959402[/C][/ROW]
[ROW][C]128[/C][C]0.000496399156266925[/C][C]0.000992798312533851[/C][C]0.999503600843733[/C][/ROW]
[ROW][C]129[/C][C]0.000593611424177298[/C][C]0.0011872228483546[/C][C]0.999406388575823[/C][/ROW]
[ROW][C]130[/C][C]0.000638865613468805[/C][C]0.00127773122693761[/C][C]0.999361134386531[/C][/ROW]
[ROW][C]131[/C][C]0.000604898065746737[/C][C]0.00120979613149347[/C][C]0.999395101934253[/C][/ROW]
[ROW][C]132[/C][C]0.000653166831694782[/C][C]0.00130633366338956[/C][C]0.999346833168305[/C][/ROW]
[ROW][C]133[/C][C]0.000665242169948893[/C][C]0.00133048433989779[/C][C]0.999334757830051[/C][/ROW]
[ROW][C]134[/C][C]0.0006376682453645[/C][C]0.001275336490729[/C][C]0.999362331754636[/C][/ROW]
[ROW][C]135[/C][C]0.000559176977242995[/C][C]0.00111835395448599[/C][C]0.999440823022757[/C][/ROW]
[ROW][C]136[/C][C]0.000444537181460655[/C][C]0.00088907436292131[/C][C]0.999555462818539[/C][/ROW]
[ROW][C]137[/C][C]0.000352930584074141[/C][C]0.000705861168148281[/C][C]0.999647069415926[/C][/ROW]
[ROW][C]138[/C][C]0.000265171841993378[/C][C]0.000530343683986755[/C][C]0.999734828158007[/C][/ROW]
[ROW][C]139[/C][C]0.000200335141496026[/C][C]0.000400670282992051[/C][C]0.999799664858504[/C][/ROW]
[ROW][C]140[/C][C]0.000151478184273941[/C][C]0.000302956368547882[/C][C]0.999848521815726[/C][/ROW]
[ROW][C]141[/C][C]0.000114522140648834[/C][C]0.000229044281297668[/C][C]0.999885477859351[/C][/ROW]
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[ROW][C]285[/C][C]0.00144042819539401[/C][C]0.00288085639078801[/C][C]0.998559571804606[/C][/ROW]
[ROW][C]286[/C][C]0.00128311454875393[/C][C]0.00256622909750786[/C][C]0.998716885451246[/C][/ROW]
[ROW][C]287[/C][C]0.00116033620881015[/C][C]0.0023206724176203[/C][C]0.99883966379119[/C][/ROW]
[ROW][C]288[/C][C]0.00099309980724666[/C][C]0.00198619961449332[/C][C]0.999006900192753[/C][/ROW]
[ROW][C]289[/C][C]0.000820462528109234[/C][C]0.00164092505621847[/C][C]0.999179537471891[/C][/ROW]
[ROW][C]290[/C][C]0.000654297407065083[/C][C]0.00130859481413017[/C][C]0.999345702592935[/C][/ROW]
[ROW][C]291[/C][C]0.000517331408454547[/C][C]0.00103466281690909[/C][C]0.999482668591545[/C][/ROW]
[ROW][C]292[/C][C]0.000395139032103647[/C][C]0.000790278064207294[/C][C]0.999604860967896[/C][/ROW]
[ROW][C]293[/C][C]0.000292153407147843[/C][C]0.000584306814295686[/C][C]0.999707846592852[/C][/ROW]
[ROW][C]294[/C][C]0.000230175351631547[/C][C]0.000460350703263094[/C][C]0.999769824648368[/C][/ROW]
[ROW][C]295[/C][C]0.000178845314320246[/C][C]0.000357690628640492[/C][C]0.99982115468568[/C][/ROW]
[ROW][C]296[/C][C]0.000137602852308378[/C][C]0.000275205704616755[/C][C]0.999862397147692[/C][/ROW]
[ROW][C]297[/C][C]0.00010444856430435[/C][C]0.0002088971286087[/C][C]0.999895551435696[/C][/ROW]
[ROW][C]298[/C][C]7.78610969688504e-05[/C][C]0.000155722193937701[/C][C]0.999922138903031[/C][/ROW]
[ROW][C]299[/C][C]5.57735806067872e-05[/C][C]0.000111547161213574[/C][C]0.999944226419393[/C][/ROW]
[ROW][C]300[/C][C]4.04688735184164e-05[/C][C]8.09377470368328e-05[/C][C]0.999959531126482[/C][/ROW]
[ROW][C]301[/C][C]4.35977872951006e-05[/C][C]8.71955745902013e-05[/C][C]0.999956402212705[/C][/ROW]
[ROW][C]302[/C][C]4.50237122153242e-05[/C][C]9.00474244306484e-05[/C][C]0.999954976287785[/C][/ROW]
[ROW][C]303[/C][C]4.81828882952686e-05[/C][C]9.63657765905371e-05[/C][C]0.999951817111705[/C][/ROW]
[ROW][C]304[/C][C]4.33447121867853e-05[/C][C]8.66894243735706e-05[/C][C]0.999956655287813[/C][/ROW]
[ROW][C]305[/C][C]4.15129184511993e-05[/C][C]8.30258369023986e-05[/C][C]0.999958487081549[/C][/ROW]
[ROW][C]306[/C][C]4.3937568424457e-05[/C][C]8.78751368489141e-05[/C][C]0.999956062431576[/C][/ROW]
[ROW][C]307[/C][C]5.26607579116606e-05[/C][C]0.000105321515823321[/C][C]0.999947339242088[/C][/ROW]
[ROW][C]308[/C][C]6.5906195260862e-05[/C][C]0.000131812390521724[/C][C]0.999934093804739[/C][/ROW]
[ROW][C]309[/C][C]8.35980276708222e-05[/C][C]0.000167196055341644[/C][C]0.999916401972329[/C][/ROW]
[ROW][C]310[/C][C]0.000132385195584361[/C][C]0.000264770391168722[/C][C]0.999867614804416[/C][/ROW]
[ROW][C]311[/C][C]0.000221332527878355[/C][C]0.000442665055756711[/C][C]0.999778667472122[/C][/ROW]
[ROW][C]312[/C][C]0.000411582676251134[/C][C]0.000823165352502267[/C][C]0.999588417323749[/C][/ROW]
[ROW][C]313[/C][C]0.00144847269929643[/C][C]0.00289694539859287[/C][C]0.998551527300704[/C][/ROW]
[ROW][C]314[/C][C]0.00497333064488382[/C][C]0.00994666128976763[/C][C]0.995026669355116[/C][/ROW]
[ROW][C]315[/C][C]0.0199996200380527[/C][C]0.0399992400761055[/C][C]0.980000379961947[/C][/ROW]
[ROW][C]316[/C][C]0.0611328835084542[/C][C]0.122265767016908[/C][C]0.938867116491546[/C][/ROW]
[ROW][C]317[/C][C]0.15585207578247[/C][C]0.31170415156494[/C][C]0.84414792421753[/C][/ROW]
[ROW][C]318[/C][C]0.349611472694736[/C][C]0.699222945389471[/C][C]0.650388527305264[/C][/ROW]
[ROW][C]319[/C][C]0.647662328162302[/C][C]0.704675343675397[/C][C]0.352337671837699[/C][/ROW]
[ROW][C]320[/C][C]0.926656661048379[/C][C]0.146686677903242[/C][C]0.0733433389516211[/C][/ROW]
[ROW][C]321[/C][C]0.992691762864069[/C][C]0.0146164742718615[/C][C]0.00730823713593073[/C][/ROW]
[ROW][C]322[/C][C]0.999940292166853[/C][C]0.00011941566629306[/C][C]5.97078331465302e-05[/C][/ROW]
[ROW][C]323[/C][C]0.999999965107944[/C][C]6.97841112963618e-08[/C][C]3.48920556481809e-08[/C][/ROW]
[ROW][C]324[/C][C]0.999999999999326[/C][C]1.3486287800617e-12[/C][C]6.74314390030851e-13[/C][/ROW]
[ROW][C]325[/C][C]0.999999999999904[/C][C]1.91466545653602e-13[/C][C]9.5733272826801e-14[/C][/ROW]
[ROW][C]326[/C][C]0.999999999999973[/C][C]5.48582628733214e-14[/C][C]2.74291314366607e-14[/C][/ROW]
[ROW][C]327[/C][C]0.99999999999995[/C][C]9.92858004591839e-14[/C][C]4.96429002295919e-14[/C][/ROW]
[ROW][C]328[/C][C]0.999999999999925[/C][C]1.50080651178775e-13[/C][C]7.50403255893875e-14[/C][/ROW]
[ROW][C]329[/C][C]0.999999999999962[/C][C]7.53232717590516e-14[/C][C]3.76616358795258e-14[/C][/ROW]
[ROW][C]330[/C][C]0.999999999999946[/C][C]1.07453032733337e-13[/C][C]5.37265163666686e-14[/C][/ROW]
[ROW][C]331[/C][C]0.999999999999863[/C][C]2.73200258438173e-13[/C][C]1.36600129219087e-13[/C][/ROW]
[ROW][C]332[/C][C]0.999999999999649[/C][C]7.02822907031707e-13[/C][C]3.51411453515854e-13[/C][/ROW]
[ROW][C]333[/C][C]0.999999999998965[/C][C]2.07006233604921e-12[/C][C]1.0350311680246e-12[/C][/ROW]
[ROW][C]334[/C][C]0.999999999996897[/C][C]6.20543893265343e-12[/C][C]3.10271946632672e-12[/C][/ROW]
[ROW][C]335[/C][C]0.999999999994636[/C][C]1.07286996605326e-11[/C][C]5.36434983026631e-12[/C][/ROW]
[ROW][C]336[/C][C]0.999999999986841[/C][C]2.63181667673306e-11[/C][C]1.31590833836653e-11[/C][/ROW]
[ROW][C]337[/C][C]0.999999999958063[/C][C]8.38734213553388e-11[/C][C]4.19367106776694e-11[/C][/ROW]
[ROW][C]338[/C][C]0.999999999920814[/C][C]1.58371383511764e-10[/C][C]7.91856917558822e-11[/C][/ROW]
[ROW][C]339[/C][C]0.999999999920103[/C][C]1.59794716703244e-10[/C][C]7.98973583516219e-11[/C][/ROW]
[ROW][C]340[/C][C]0.999999999762847[/C][C]4.74306454410179e-10[/C][C]2.37153227205089e-10[/C][/ROW]
[ROW][C]341[/C][C]0.999999999862214[/C][C]2.75571849905799e-10[/C][C]1.37785924952899e-10[/C][/ROW]
[ROW][C]342[/C][C]0.999999999699195[/C][C]6.0161002786799e-10[/C][C]3.00805013933995e-10[/C][/ROW]
[ROW][C]343[/C][C]0.99999999900485[/C][C]1.99030041685641e-09[/C][C]9.95150208428206e-10[/C][/ROW]
[ROW][C]344[/C][C]0.99999999591185[/C][C]8.17630029480715e-09[/C][C]4.08815014740358e-09[/C][/ROW]
[ROW][C]345[/C][C]0.999999987135937[/C][C]2.57281253578086e-08[/C][C]1.28640626789043e-08[/C][/ROW]
[ROW][C]346[/C][C]0.999999950882892[/C][C]9.82342156129857e-08[/C][C]4.91171078064929e-08[/C][/ROW]
[ROW][C]347[/C][C]0.99999977252841[/C][C]4.54943180670552e-07[/C][C]2.27471590335276e-07[/C][/ROW]
[ROW][C]348[/C][C]0.999998890682427[/C][C]2.21863514665162e-06[/C][C]1.10931757332581e-06[/C][/ROW]
[ROW][C]349[/C][C]0.999995275230359[/C][C]9.44953928232765e-06[/C][C]4.72476964116382e-06[/C][/ROW]
[ROW][C]350[/C][C]0.999996482226451[/C][C]7.03554709786452e-06[/C][C]3.51777354893226e-06[/C][/ROW]
[ROW][C]351[/C][C]0.999991199273105[/C][C]1.76014537902646e-05[/C][C]8.80072689513232e-06[/C][/ROW]
[ROW][C]352[/C][C]0.999958810084454[/C][C]8.23798310922404e-05[/C][C]4.11899155461202e-05[/C][/ROW]
[ROW][C]353[/C][C]0.999765195737345[/C][C]0.000469608525310551[/C][C]0.000234804262655276[/C][/ROW]
[ROW][C]354[/C][C]0.999701294916969[/C][C]0.000597410166061517[/C][C]0.000298705083030758[/C][/ROW]
[ROW][C]355[/C][C]0.998184692405011[/C][C]0.00363061518997744[/C][C]0.00181530759498872[/C][/ROW]
[ROW][C]356[/C][C]0.991833845944853[/C][C]0.0163323081102941[/C][C]0.00816615405514704[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=187301&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=187301&T=5

As an alternative you can also use a QR Code:  

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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.0003991785126358260.0007983570252716520.999600821487364
170.005459916818604540.01091983363720910.994540083181395
180.004117537829651920.008235075659303850.995882462170348
190.006375702376061280.01275140475212260.993624297623939
200.003381281755115170.006762563510230350.996618718244885
210.001357249370888160.002714498741776320.998642750629112
220.001146449409417550.00229289881883510.998853550590582
230.0004207207535566940.0008414415071133880.999579279246443
240.0001456653027827980.0002913306055655970.999854334697217
254.85615086243529e-059.71230172487058e-050.999951438491376
262.18707346218092e-054.37414692436184e-050.999978129265378
271.93823739557941e-053.87647479115883e-050.999980617626044
285.35346640480999e-050.00010706932809620.999946465335952
290.0001894435905629150.0003788871811258290.999810556409437
300.0004447663734047040.0008895327468094090.999555233626595
310.00168061051882610.003361221037652210.998319389481174
320.006762853717727860.01352570743545570.993237146282272
330.01221291887378020.02442583774756050.98778708112622
340.02547333748168140.05094667496336280.974526662518319
350.03140855191180580.06281710382361170.968591448088194
360.03771295359303080.07542590718606160.962287046406969
370.058005704276930.116011408553860.94199429572307
380.1024909826622260.2049819653244520.897509017337774
390.1387262563952250.2774525127904510.861273743604775
400.1695034664536960.3390069329073910.830496533546304
410.1886705218242740.3773410436485480.811329478175726
420.2005141871951440.4010283743902890.799485812804856
430.2135317376368490.4270634752736980.786468262363151
440.2082083451441140.4164166902882280.791791654855886
450.1857449885472860.3714899770945720.814255011452714
460.1615205326405130.3230410652810260.838479467359487
470.1361636816428350.272327363285670.863836318357165
480.1206461398948270.2412922797896540.879353860105173
490.1033166531609910.2066333063219820.896683346839009
500.09043245520783010.180864910415660.90956754479217
510.08017689970096030.1603537994019210.91982310029904
520.06677307164518090.1335461432903620.933226928354819
530.0535761136714980.1071522273429960.946423886328502
540.04385962037653830.08771924075307660.956140379623462
550.03508237700583820.07016475401167640.964917622994162
560.02681128194134350.0536225638826870.973188718058656
570.02038222062392810.04076444124785620.979617779376072
580.01548414346867890.03096828693735780.984515856531321
590.01173796776175460.02347593552350920.988262032238245
600.008971492610609170.01794298522121830.991028507389391
610.006598153554830150.01319630710966030.99340184644517
620.00522584826193130.01045169652386260.994774151738069
630.003953849484281370.007907698968562740.996046150515719
640.002817605323173230.005635210646346460.997182394676827
650.002002056408367170.004004112816734330.997997943591633
660.001505016563831190.003010033127662370.998494983436169
670.001114071150717330.002228142301434650.998885928849283
680.0007896166761080430.001579233352216090.999210383323892
690.0005406139080128350.001081227816025670.999459386091987
700.0003712143422300590.0007424286844601180.99962878565777
710.0002727382335222550.000545476467044510.999727261766478
720.0002331912550853270.0004663825101706550.999766808744915
730.0004118396391897240.0008236792783794480.99958816036081
740.0008765142195833160.001753028439166630.999123485780417
750.002194295044982940.004388590089965870.997805704955017
760.004899727909204270.009799455818408550.995100272090796
770.009050973519486020.0181019470389720.990949026480514
780.01137393500831130.02274787001662260.988626064991689
790.01358488102658220.02716976205316440.986415118973418
800.01672881605304860.03345763210609710.983271183946951
810.02073804194011080.04147608388022170.979261958059889
820.02082970026079970.04165940052159940.9791702997392
830.02050927560989060.04101855121978120.979490724390109
840.01866329175601140.03732658351202280.981336708243989
850.01718754560287870.03437509120575750.982812454397121
860.01440515419985190.02881030839970390.985594845800148
870.01177998166123430.02355996332246860.988220018338766
880.009928386294227590.01985677258845520.990071613705772
890.007809531498357710.01561906299671540.992190468501642
900.006022653077125690.01204530615425140.993977346922874
910.004580369259972080.009160738519944150.995419630740028
920.003458106553907990.006916213107815980.996541893446092
930.002585248024110960.005170496048221910.997414751975889
940.001931429821845630.003862859643691270.998068570178154
950.001440475517741790.002880951035483570.998559524482258
960.001069195292290130.002138390584580260.99893080470771
970.0007791116190797230.001558223238159450.99922088838092
980.0005631927536277570.001126385507255510.999436807246372
990.000406710969255290.0008134219385105790.999593289030745
1000.0002895535781725150.000579107156345030.999710446421827
1010.0002126651401810360.0004253302803620710.999787334859819
1020.0001571402113547430.0003142804227094850.999842859788645
1030.0001112533536989230.0002225067073978460.999888746646301
1047.72868560652618e-050.0001545737121305240.999922713143935
1055.34969066927154e-050.0001069938133854310.999946503093307
1063.67874561006925e-057.35749122013849e-050.999963212543899
1072.5393733128366e-055.0787466256732e-050.999974606266872
1081.74397854759994e-053.48795709519987e-050.999982560214524
1091.18413435256532e-052.36826870513064e-050.999988158656474
1107.96619132592532e-061.59323826518506e-050.999992033808674
1115.36755535482596e-061.07351107096519e-050.999994632444645
1123.54127132414759e-067.08254264829519e-060.999996458728676
1132.32189338924436e-064.64378677848872e-060.999997678106611
1141.57196323725914e-063.14392647451828e-060.999998428036763
1151.02104880155916e-062.04209760311832e-060.999998978951198
1166.5910917268758e-071.31821834537516e-060.999999340890827
1174.22704330627278e-078.45408661254557e-070.999999577295669
1182.75955080694564e-075.51910161389128e-070.999999724044919
1192.15330693461613e-074.30661386923227e-070.999999784669307
1201.8604866596728e-073.72097331934559e-070.999999813951334
1212.70602516879268e-075.41205033758536e-070.999999729397483
1228.08116937413362e-071.61623387482672e-060.999999191883063
1233.06242799355916e-066.12485598711832e-060.999996937572006
1241.34320135237392e-052.68640270474785e-050.999986567986476
1254.46655500078961e-058.93311000157921e-050.999955334449992
1260.0001197760134387960.0002395520268775920.999880223986561
1270.0002800730405977010.0005601460811954010.999719926959402
1280.0004963991562669250.0009927983125338510.999503600843733
1290.0005936114241772980.00118722284835460.999406388575823
1300.0006388656134688050.001277731226937610.999361134386531
1310.0006048980657467370.001209796131493470.999395101934253
1320.0006531668316947820.001306333663389560.999346833168305
1330.0006652421699488930.001330484339897790.999334757830051
1340.00063766824536450.0012753364907290.999362331754636
1350.0005591769772429950.001118353954485990.999440823022757
1360.0004445371814606550.000889074362921310.999555462818539
1370.0003529305840741410.0007058611681482810.999647069415926
1380.0002651718419933780.0005303436839867550.999734828158007
1390.0002003351414960260.0004006702829920510.999799664858504
1400.0001514781842739410.0003029563685478820.999848521815726
1410.0001145221406488340.0002290442812976680.999885477859351
1428.97027561842691e-050.0001794055123685380.999910297243816
1437.43557326688885e-050.0001487114653377770.999925644267331
1445.87440787828724e-050.0001174881575657450.999941255921217
1454.47639857181449e-058.95279714362898e-050.999955236014282
1463.31680421771896e-056.63360843543792e-050.999966831957823
1472.63672292067049e-055.27344584134098e-050.999973632770793
1482.03512226304024e-054.07024452608048e-050.99997964877737
1491.57496546633977e-053.14993093267954e-050.999984250345337
1501.21265046191533e-052.42530092383066e-050.999987873495381
1519.12600146918579e-061.82520029383716e-050.999990873998531
1527.14785279332243e-061.42957055866449e-050.999992852147207
1535.27762796078643e-061.05552559215729e-050.999994722372039
1544.40640381640771e-068.81280763281542e-060.999995593596184
1554.12499719819866e-068.24999439639731e-060.999995875002802
1565.64132172378475e-061.12826434475695e-050.999994358678276
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3110.0002213325278783550.0004426650557567110.999778667472122
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3220.9999402921668530.000119415666293065.97078331465302e-05
3230.9999999651079446.97841112963618e-083.48920556481809e-08
3240.9999999999993261.3486287800617e-126.74314390030851e-13
3250.9999999999999041.91466545653602e-139.5733272826801e-14
3260.9999999999999735.48582628733214e-142.74291314366607e-14
3270.999999999999959.92858004591839e-144.96429002295919e-14
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3300.9999999999999461.07453032733337e-135.37265163666686e-14
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3430.999999999004851.99030041685641e-099.95150208428206e-10
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3460.9999999508828929.82342156129857e-084.91171078064929e-08
3470.999999772528414.54943180670552e-072.27471590335276e-07
3480.9999988906824272.21863514665162e-061.10931757332581e-06
3490.9999952752303599.44953928232765e-064.72476964116382e-06
3500.9999964822264517.03554709786452e-063.51777354893226e-06
3510.9999911992731051.76014537902646e-058.80072689513232e-06
3520.9999588100844548.23798310922404e-054.11899155461202e-05
3530.9997651957373450.0004696085253105510.000234804262655276
3540.9997012949169690.0005974101660615170.000298705083030758
3550.9981846924050110.003630615189977440.00181530759498872
3560.9918338459448530.01633230811029410.00816615405514704







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2130.624633431085044NOK
5% type I error level2770.812316715542522NOK
10% type I error level3020.885630498533724NOK

\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 & 213 & 0.624633431085044 & NOK \tabularnewline
5% type I error level & 277 & 0.812316715542522 & NOK \tabularnewline
10% type I error level & 302 & 0.885630498533724 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=187301&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]213[/C][C]0.624633431085044[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]277[/C][C]0.812316715542522[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]302[/C][C]0.885630498533724[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=187301&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=187301&T=6

As an alternative you can also use a QR Code:  

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2130.624633431085044NOK
5% type I error level2770.812316715542522NOK
10% type I error level3020.885630498533724NOK



Parameters (Session):
par1 = 12 ; par2 = 6 ; par3 = 0 ; par5 = 1 ; par7 = 1 ; par8 = FALSE ;
Parameters (R input):
par1 = 1 ; par2 = Include Monthly Dummies ; par3 = 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$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, mysum$coefficients[i,1], 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,mysum$coefficients[i,1])
a<-table.element(a, round(mysum$coefficients[i,2],6))
a<-table.element(a, round(mysum$coefficients[i,3],4))
a<-table.element(a, round(mysum$coefficients[i,4],6))
a<-table.element(a, round(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, sqrt(mysum$r.squared))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, mysum$r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, mysum$adj.r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, mysum$fstatistic[1])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[2])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[3])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, 1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]))
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, mysum$sigma)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, sum(myerror*myerror))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,x[i])
a<-table.element(a,x[i]-mysum$resid[i])
a<-table.element(a,mysum$resid[i])
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,gqarr[mypoint-kp3+1,1])
a<-table.element(a,gqarr[mypoint-kp3+1,2])
a<-table.element(a,gqarr[mypoint-kp3+1,3])
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,numsignificant1)
a<-table.element(a,numsignificant1/numgqtests)
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,numsignificant5)
a<-table.element(a,numsignificant5/numgqtests)
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,numsignificant10)
a<-table.element(a,numsignificant10/numgqtests)
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')
}