## Free Statistics

of Irreproducible Research!

Author's title
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 Input view raw input (R code) Raw Output view raw output of R engine Computing time 16 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 Input view raw input (R code) Raw Output view raw output of R engine Computing time 16 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 Variable Parameter S.D. T-STATH0: parameter = 0 2-tail p-value 1-tail p-value (Intercept) 176.34311827957 21.582495 8.1707 0 0 M1 72.2415821012545 27.125671 2.6632 0.008088 0.004044 M2 81.1193268369176 27.124642 2.9906 0.002976 0.001488 M3 57.8325554435484 27.12371 2.1322 0.033671 0.016835 M4 17.8909453405018 27.122876 0.6596 0.509917 0.254959 M5 -3.66679379480288 27.122141 -0.1352 0.892533 0.446267 M6 68.0399831989247 27.121503 2.5087 0.012557 0.006279 M7 44.2499859991039 27.120964 1.6316 0.103645 0.051823 M8 12.0857952508961 27.120522 0.4456 0.656131 0.328066 M9 -6.03968581989247 27.120179 -0.2227 0.823895 0.411948 M10 -22.5006507616487 27.119934 -0.8297 0.407276 0.203638 M11 -1.44871247759856 27.119787 -0.0534 0.957428 0.478714 t 1.0190294578853 0.051577 19.7576 0 0

\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 Variable Parameter S.D. T-STATH0: parameter = 0 2-tail p-value 1-tail p-value (Intercept) 176.34311827957 21.582495 8.1707 0 0 M1 72.2415821012545 27.125671 2.6632 0.008088 0.004044 M2 81.1193268369176 27.124642 2.9906 0.002976 0.001488 M3 57.8325554435484 27.12371 2.1322 0.033671 0.016835 M4 17.8909453405018 27.122876 0.6596 0.509917 0.254959 M5 -3.66679379480288 27.122141 -0.1352 0.892533 0.446267 M6 68.0399831989247 27.121503 2.5087 0.012557 0.006279 M7 44.2499859991039 27.120964 1.6316 0.103645 0.051823 M8 12.0857952508961 27.120522 0.4456 0.656131 0.328066 M9 -6.03968581989247 27.120179 -0.2227 0.823895 0.411948 M10 -22.5006507616487 27.119934 -0.8297 0.407276 0.203638 M11 -1.44871247759856 27.119787 -0.0534 0.957428 0.478714 t 1.0190294578853 0.051577 19.7576 0 0

 Multiple Linear Regression - Regression Statistics Multiple R 0.735625547908382 R-squared 0.541144946735507 Adjusted R-squared 0.525807173367334 F-TEST (value) 35.2818452682604 F-TEST (DF numerator) 12 F-TEST (DF denominator) 359 p-value 0 Multiple Linear Regression - Residual Statistics Residual Standard Deviation 106.770513988965 Sum Squared Residuals 4092579.41403091

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.735625547908382 \tabularnewline
R-squared & 0.541144946735507 \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]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 R 0.735625547908382 R-squared 0.541144946735507 Adjusted R-squared 0.525807173367334 F-TEST (value) 35.2818452682604 F-TEST (DF numerator) 12 F-TEST (DF denominator) 359 p-value 0 Multiple Linear Regression - Residual Statistics Residual Standard Deviation 106.770513988965 Sum Squared Residuals 4092579.41403091

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

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

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

\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
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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
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113 & 2.32189338924436e-06 & 4.64378677848872e-06 & 0.999997678106611 \tabularnewline
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116 & 6.5910917268758e-07 & 1.31821834537516e-06 & 0.999999340890827 \tabularnewline
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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
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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]
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[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]
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[ROW][C]254[/C][C]0.0187167349744868[/C][C]0.0374334699489737[/C][C]0.981283265025513[/C][/ROW]
[ROW][C]255[/C][C]0.0213409266298475[/C][C]0.0426818532596951[/C][C]0.978659073370152[/C][/ROW]
[ROW][C]256[/C][C]0.021625163468703[/C][C]0.043250326937406[/C][C]0.978374836531297[/C][/ROW]
[ROW][C]257[/C][C]0.021961760131523[/C][C]0.0439235202630461[/C][C]0.978038239868477[/C][/ROW]
[ROW][C]258[/C][C]0.0206439234435909[/C][C]0.0412878468871819[/C][C]0.979356076556409[/C][/ROW]
[ROW][C]259[/C][C]0.019436596784392[/C][C]0.0388731935687839[/C][C]0.980563403215608[/C][/ROW]
[ROW][C]260[/C][C]0.018282444282777[/C][C]0.0365648885655539[/C][C]0.981717555717223[/C][/ROW]
[ROW][C]261[/C][C]0.0160985670608248[/C][C]0.0321971341216496[/C][C]0.983901432939175[/C][/ROW]
[ROW][C]262[/C][C]0.0138779305961318[/C][C]0.0277558611922637[/C][C]0.986122069403868[/C][/ROW]
[ROW][C]263[/C][C]0.0134152844319905[/C][C]0.026830568863981[/C][C]0.98658471556801[/C][/ROW]
[ROW][C]264[/C][C]0.0135177432046219[/C][C]0.0270354864092437[/C][C]0.986482256795378[/C][/ROW]
[ROW][C]265[/C][C]0.0154295260989068[/C][C]0.0308590521978135[/C][C]0.984570473901093[/C][/ROW]
[ROW][C]266[/C][C]0.0152893895227096[/C][C]0.0305787790454191[/C][C]0.98471061047729[/C][/ROW]
[ROW][C]267[/C][C]0.0140668481585514[/C][C]0.0281336963171027[/C][C]0.985933151841449[/C][/ROW]
[ROW][C]268[/C][C]0.011800366970639[/C][C]0.023600733941278[/C][C]0.988199633029361[/C][/ROW]
[ROW][C]269[/C][C]0.00964898435981776[/C][C]0.0192979687196355[/C][C]0.990351015640182[/C][/ROW]
[ROW][C]270[/C][C]0.00804276734184237[/C][C]0.0160855346836847[/C][C]0.991957232658158[/C][/ROW]
[ROW][C]271[/C][C]0.00671603186112958[/C][C]0.0134320637222592[/C][C]0.99328396813887[/C][/ROW]
[ROW][C]272[/C][C]0.00557038127130604[/C][C]0.0111407625426121[/C][C]0.994429618728694[/C][/ROW]
[ROW][C]273[/C][C]0.00480045163599543[/C][C]0.00960090327199086[/C][C]0.995199548364005[/C][/ROW]
[ROW][C]274[/C][C]0.00426137975265505[/C][C]0.00852275950531009[/C][C]0.995738620247345[/C][/ROW]
[ROW][C]275[/C][C]0.00396353627124114[/C][C]0.00792707254248228[/C][C]0.996036463728759[/C][/ROW]
[ROW][C]276[/C][C]0.00371475092917315[/C][C]0.00742950185834629[/C][C]0.996285249070827[/C][/ROW]
[ROW][C]277[/C][C]0.00340100260503555[/C][C]0.0068020052100711[/C][C]0.996598997394964[/C][/ROW]
[ROW][C]278[/C][C]0.00302306340714814[/C][C]0.00604612681429628[/C][C]0.996976936592852[/C][/ROW]
[ROW][C]279[/C][C]0.00263643702503083[/C][C]0.00527287405006166[/C][C]0.997363562974969[/C][/ROW]
[ROW][C]280[/C][C]0.00224671490371318[/C][C]0.00449342980742636[/C][C]0.997753285096287[/C][/ROW]
[ROW][C]281[/C][C]0.00187199750037595[/C][C]0.00374399500075189[/C][C]0.998128002499624[/C][/ROW]
[ROW][C]282[/C][C]0.00171729559536452[/C][C]0.00343459119072903[/C][C]0.998282704404636[/C][/ROW]
[ROW][C]283[/C][C]0.00161366652414033[/C][C]0.00322733304828067[/C][C]0.99838633347586[/C][/ROW]
[ROW][C]284[/C][C]0.00155037757509183[/C][C]0.00310075515018366[/C][C]0.998449622424908[/C][/ROW]
[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-values Alternative Hypothesis breakpoint index greater 2-sided less 16 0.000399178512635826 0.000798357025271652 0.999600821487364 17 0.00545991681860454 0.0109198336372091 0.994540083181395 18 0.00411753782965192 0.00823507565930385 0.995882462170348 19 0.00637570237606128 0.0127514047521226 0.993624297623939 20 0.00338128175511517 0.00676256351023035 0.996618718244885 21 0.00135724937088816 0.00271449874177632 0.998642750629112 22 0.00114644940941755 0.0022928988188351 0.998853550590582 23 0.000420720753556694 0.000841441507113388 0.999579279246443 24 0.000145665302782798 0.000291330605565597 0.999854334697217 25 4.85615086243529e-05 9.71230172487058e-05 0.999951438491376 26 2.18707346218092e-05 4.37414692436184e-05 0.999978129265378 27 1.93823739557941e-05 3.87647479115883e-05 0.999980617626044 28 5.35346640480999e-05 0.0001070693280962 0.999946465335952 29 0.000189443590562915 0.000378887181125829 0.999810556409437 30 0.000444766373404704 0.000889532746809409 0.999555233626595 31 0.0016806105188261 0.00336122103765221 0.998319389481174 32 0.00676285371772786 0.0135257074354557 0.993237146282272 33 0.0122129188737802 0.0244258377475605 0.98778708112622 34 0.0254733374816814 0.0509466749633628 0.974526662518319 35 0.0314085519118058 0.0628171038236117 0.968591448088194 36 0.0377129535930308 0.0754259071860616 0.962287046406969 37 0.05800570427693 0.11601140855386 0.94199429572307 38 0.102490982662226 0.204981965324452 0.897509017337774 39 0.138726256395225 0.277452512790451 0.861273743604775 40 0.169503466453696 0.339006932907391 0.830496533546304 41 0.188670521824274 0.377341043648548 0.811329478175726 42 0.200514187195144 0.401028374390289 0.799485812804856 43 0.213531737636849 0.427063475273698 0.786468262363151 44 0.208208345144114 0.416416690288228 0.791791654855886 45 0.185744988547286 0.371489977094572 0.814255011452714 46 0.161520532640513 0.323041065281026 0.838479467359487 47 0.136163681642835 0.27232736328567 0.863836318357165 48 0.120646139894827 0.241292279789654 0.879353860105173 49 0.103316653160991 0.206633306321982 0.896683346839009 50 0.0904324552078301 0.18086491041566 0.90956754479217 51 0.0801768997009603 0.160353799401921 0.91982310029904 52 0.0667730716451809 0.133546143290362 0.933226928354819 53 0.053576113671498 0.107152227342996 0.946423886328502 54 0.0438596203765383 0.0877192407530766 0.956140379623462 55 0.0350823770058382 0.0701647540116764 0.964917622994162 56 0.0268112819413435 0.053622563882687 0.973188718058656 57 0.0203822206239281 0.0407644412478562 0.979617779376072 58 0.0154841434686789 0.0309682869373578 0.984515856531321 59 0.0117379677617546 0.0234759355235092 0.988262032238245 60 0.00897149261060917 0.0179429852212183 0.991028507389391 61 0.00659815355483015 0.0131963071096603 0.99340184644517 62 0.0052258482619313 0.0104516965238626 0.994774151738069 63 0.00395384948428137 0.00790769896856274 0.996046150515719 64 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0.000469608525310551 0.000234804262655276 354 0.999701294916969 0.000597410166061517 0.000298705083030758 355 0.998184692405011 0.00363061518997744 0.00181530759498872 356 0.991833845944853 0.0163323081102941 0.00816615405514704

 Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity Description # significant tests % significant tests OK/NOK 1% type I error level 213 0.624633431085044 NOK 5% type I error level 277 0.812316715542522 NOK 10% type I error level 302 0.885630498533724 NOK

\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 tests OK/NOK 1% type I error level 213 0.624633431085044 NOK 5% type I error level 277 0.812316715542522 NOK 10% type I error level 302 0.885630498533724 NOK

library(lattice)library(lmtest)n25 <- 25 #minimum number of obs. for Goldfeld-Quandt testpar1 <- 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 <- x1if (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'}xk <- length(x[1,])df <- as.data.frame(x)(mylm <- lm(df))(mysum <- summary(mylm))if (n > n25) {kp3 <- k + 3nmkm3 <- n - k - 3gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))numgqtests <- 0numsignificant1 <- 0numsignificant5 <- 0numsignificant10 <- 0for (mypoint in kp3:nmkm3) {j <- 0numgqtests <- numgqtests + 1for (myalt in c('greater', 'two.sided', 'less')) {j <- j + 1gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value}if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1}gqarr}bitmap(file='test0.png')plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')points(x[,1]-mysum$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)dumdum1 <- dum[2:length(myerror),]dum1z <- as.data.frame(dum1)zplot(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$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')}}myeq <- paste(myeq, ' + e[t]')a<-table.row.start(a)a<-table.element(a, myeq)a<-table.row.end(a)a<-table.end(a)table.save(a,file='mytable1.tab')a<-table.start()a<-table.row.start(a)a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'Variable',header=TRUE)a<-table.element(a,'Parameter',header=TRUE)a<-table.element(a,'S.D.',header=TRUE)a<-table.element(a,'T-STATH0: parameter = 0',header=TRUE)a<-table.element(a,'2-tail p-value',header=TRUE)a<-table.element(a,'1-tail p-value',header=TRUE)a<-table.row.end(a)for (i in 1:k){a<-table.row.start(a)a<-table.element(a,rownames(mysum$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$sigma)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a, 'Sum Squared Residuals',1,TRUE)a<-table.element(a, sum(myerror*myerror))a<-table.row.end(a)a<-table.end(a)table.save(a,file='mytable3.tab')a<-table.start()a<-table.row.start(a)a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a, 'Time or Index', 1, TRUE)a<-table.element(a, 'Actuals', 1, TRUE)a<-table.element(a, 'InterpolationForecast', 1, TRUE)a<-table.element(a, 'ResidualsPrediction Error', 1, TRUE)a<-table.row.end(a)for (i in 1:n) {a<-table.row.start(a)a<-table.element(a,i, 1, TRUE)a<-table.element(a,x[i])a<-table.element(a,x[i]-mysum$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')}