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Author's title

Author*Unverified author*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationTue, 18 Dec 2012 12:51:26 -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/Dec/18/t1355853192i3lk9emt6a0oe5y.htm/, Retrieved Thu, 28 Mar 2024 12:26:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=201528, Retrieved Thu, 28 Mar 2024 12:26:16 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact71
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [HPC Retail Sales] [2008-03-08 13:40:54] [1c0f2c85e8a48e42648374b3bcceca26]
- RMPD    [Multiple Regression] [American retail p...] [2012-12-18 17:51:26] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
255
280.2
299.9
339.2
374.2
393.5
389.2
381.7
375.2
369
357.4
352.1
346.5
342.9
340.3
328.3
322.9
314.3
308.9
294
285.6
281.2
280.3
278.8
274.5
270.4
263.4
259.9
258
262.7
284.7
311.3
322.1
327
331.3
333.3
321.4
327
320
314.7
316.7
314.4
321.3
318.2
307.2
301.3
287.5
277.7
274.4
258.8
253.3
251
248.4
249.5
246.1
244.5
243.6
244
240.8
249.8
248
259.4
260.5
260.8
261.3
259.5
256.6
257.9
256.5
254.2
253.3
253.8
255.5
257.1
257.3
253.2
252.8
252
250.7
252.2
250
251
253.4
251.2
255.6
261.1
258.9
259.9
261.2
264.7
267.1
266.4
267.7
268.6
267.5
268.5
268.5
270.5
270.9
270.1
269.3
269.8
270.1
264.9
263.7
264.8
263.7
255.9
276.2
360.1
380.5
373.7
369.8
366.6
359.3
345.8
326.2
324.5
328.1
327.5
324.4
316.5
310.9
301.5
291.7
290.4
287.4
277.7
281.6
288
276
272.9
283
283.3
276.8
284.5
282.7
281.2
287.4
283.1
284
285.5
289.2
292.5
296.4
305.2
303.9
311.5
316.3
316.7
322.5
317.1
309.8
303.8
290.3
293.7
291.7
296.5
289.1
288.5
293.8
297.7
305.4
302.7
302.5
303
294.5
294.1
294.5
297.1
289.4
292.4
287.9
286.6
280.5
272.4
269.2
270.6
267.3
262.5
266.8
268.8
263.1
261.2
266
262.5
265.2
261.3
253.7
249.2
239.1
236.4
235.2
245.2
246.2
247.7
251.4
253.3
254.8
250
249.3
241.5
243.3
248
253
252.9
251.5
251.6
253.5
259.8
334.1
448
445.8
445
448.2
438.2
439.8
423.4
410.8
408.4
406.7
405.9
402.7
405.1
399.6
386.5
381.4
375.2
357.7
359
355
352.7
344.4
343.8
338
339
333.3
334.4
328.3
330.7
330
331.6
351.2
389.4
410.9
442.8
462.8
466.9
461.7
439.2
430.3
416.1
402.5
397.3
403.3
395.9
387.8
378.6
377.1
370.4
362
350.3
348.2
344.6
343.5
342.8
347.6
346.6
349.5
342.1
342
342.8
339.3
348.2
333.7
334.7
354
367.7
363.3
358.4
353.1
343.1
344.6
344.4
333.9
331.7
324.3
321.2
322.4
321.7
320.5
312.8
309.7
315.6
309.7
304.6
302.5
301.5
298.8
291.3
293.6
294.6
285.9
297.6
301.1
293.8
297.7
292.9
292.1
287.2
288.2
283.8
299.9
292.4
293.3
300.8
293.7
293.1
294.4
292.1
291.9
282.5
277.9
287.5
289.2
285.6
293.2
290.8
283.1
275
287.8
287.8
287.4
284
277.8
277.6
304.9
294
300.9
324
332.9
341.6
333.4
348.2
344.7
344.7
329.3
323.5
323.2
317.4
330.1
329.2
334.9
315.8
315.4
319.6
317.3
313.8
315.8
311.3




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time24 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 24 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201528&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]24 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201528&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201528&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time24 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Multiple Linear Regression - Estimated Regression Equation
USrtCoffee[t] = + 278.269568965517 + 1.34817961315042M1[t] + 4.52289055740947M2[t] + 4.74093483500185M3[t] + 6.7856457792609M4[t] + 7.63369005685329M5[t] + 7.52506766777902M6[t] + 11.0764452787047M7[t] + 13.1478228896304M8[t] + 9.56253383388951M9[t] + 6.65724477814856M10[t] + 2.15862238907428M11[t] + 0.131955722407613t + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
USrtCoffee[t] =  +  278.269568965517 +  1.34817961315042M1[t] +  4.52289055740947M2[t] +  4.74093483500185M3[t] +  6.7856457792609M4[t] +  7.63369005685329M5[t] +  7.52506766777902M6[t] +  11.0764452787047M7[t] +  13.1478228896304M8[t] +  9.56253383388951M9[t] +  6.65724477814856M10[t] +  2.15862238907428M11[t] +  0.131955722407613t  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201528&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]USrtCoffee[t] =  +  278.269568965517 +  1.34817961315042M1[t] +  4.52289055740947M2[t] +  4.74093483500185M3[t] +  6.7856457792609M4[t] +  7.63369005685329M5[t] +  7.52506766777902M6[t] +  11.0764452787047M7[t] +  13.1478228896304M8[t] +  9.56253383388951M9[t] +  6.65724477814856M10[t] +  2.15862238907428M11[t] +  0.131955722407613t  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201528&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201528&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
USrtCoffee[t] = + 278.269568965517 + 1.34817961315042M1[t] + 4.52289055740947M2[t] + 4.74093483500185M3[t] + 6.7856457792609M4[t] + 7.63369005685329M5[t] + 7.52506766777902M6[t] + 11.0764452787047M7[t] + 13.1478228896304M8[t] + 9.56253383388951M9[t] + 6.65724477814856M10[t] + 2.15862238907428M11[t] + 0.131955722407613t + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)278.2695689655179.80470728.381200
M11.3481796131504212.3203030.10940.9129270.456463
M24.5228905574094712.3198040.36710.7137510.356875
M34.7409348350018512.3193520.38480.7005940.350297
M46.785645779260912.3189470.55080.5821050.291052
M57.6336900568532912.3185910.61970.535870.267935
M67.5250676677790212.3182810.61090.5416750.270837
M711.076445278704712.318020.89920.3691660.184583
M813.147822889630412.3178061.06740.2865410.14327
M99.5625338338895112.3176390.77630.4380840.219042
M106.6572447781485612.317520.54050.589220.29461
M112.1586223890742812.3174490.17520.8609860.430493
t0.1319557224076130.0242075.451100

\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) & 278.269568965517 & 9.804707 & 28.3812 & 0 & 0 \tabularnewline
M1 & 1.34817961315042 & 12.320303 & 0.1094 & 0.912927 & 0.456463 \tabularnewline
M2 & 4.52289055740947 & 12.319804 & 0.3671 & 0.713751 & 0.356875 \tabularnewline
M3 & 4.74093483500185 & 12.319352 & 0.3848 & 0.700594 & 0.350297 \tabularnewline
M4 & 6.7856457792609 & 12.318947 & 0.5508 & 0.582105 & 0.291052 \tabularnewline
M5 & 7.63369005685329 & 12.318591 & 0.6197 & 0.53587 & 0.267935 \tabularnewline
M6 & 7.52506766777902 & 12.318281 & 0.6109 & 0.541675 & 0.270837 \tabularnewline
M7 & 11.0764452787047 & 12.31802 & 0.8992 & 0.369166 & 0.184583 \tabularnewline
M8 & 13.1478228896304 & 12.317806 & 1.0674 & 0.286541 & 0.14327 \tabularnewline
M9 & 9.56253383388951 & 12.317639 & 0.7763 & 0.438084 & 0.219042 \tabularnewline
M10 & 6.65724477814856 & 12.31752 & 0.5405 & 0.58922 & 0.29461 \tabularnewline
M11 & 2.15862238907428 & 12.317449 & 0.1752 & 0.860986 & 0.430493 \tabularnewline
t & 0.131955722407613 & 0.024207 & 5.4511 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201528&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]278.269568965517[/C][C]9.804707[/C][C]28.3812[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M1[/C][C]1.34817961315042[/C][C]12.320303[/C][C]0.1094[/C][C]0.912927[/C][C]0.456463[/C][/ROW]
[ROW][C]M2[/C][C]4.52289055740947[/C][C]12.319804[/C][C]0.3671[/C][C]0.713751[/C][C]0.356875[/C][/ROW]
[ROW][C]M3[/C][C]4.74093483500185[/C][C]12.319352[/C][C]0.3848[/C][C]0.700594[/C][C]0.350297[/C][/ROW]
[ROW][C]M4[/C][C]6.7856457792609[/C][C]12.318947[/C][C]0.5508[/C][C]0.582105[/C][C]0.291052[/C][/ROW]
[ROW][C]M5[/C][C]7.63369005685329[/C][C]12.318591[/C][C]0.6197[/C][C]0.53587[/C][C]0.267935[/C][/ROW]
[ROW][C]M6[/C][C]7.52506766777902[/C][C]12.318281[/C][C]0.6109[/C][C]0.541675[/C][C]0.270837[/C][/ROW]
[ROW][C]M7[/C][C]11.0764452787047[/C][C]12.31802[/C][C]0.8992[/C][C]0.369166[/C][C]0.184583[/C][/ROW]
[ROW][C]M8[/C][C]13.1478228896304[/C][C]12.317806[/C][C]1.0674[/C][C]0.286541[/C][C]0.14327[/C][/ROW]
[ROW][C]M9[/C][C]9.56253383388951[/C][C]12.317639[/C][C]0.7763[/C][C]0.438084[/C][C]0.219042[/C][/ROW]
[ROW][C]M10[/C][C]6.65724477814856[/C][C]12.31752[/C][C]0.5405[/C][C]0.58922[/C][C]0.29461[/C][/ROW]
[ROW][C]M11[/C][C]2.15862238907428[/C][C]12.317449[/C][C]0.1752[/C][C]0.860986[/C][C]0.430493[/C][/ROW]
[ROW][C]t[/C][C]0.131955722407613[/C][C]0.024207[/C][C]5.4511[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201528&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201528&T=2

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)278.2695689655179.80470728.381200
M11.3481796131504212.3203030.10940.9129270.456463
M24.5228905574094712.3198040.36710.7137510.356875
M34.7409348350018512.3193520.38480.7005940.350297
M46.785645779260912.3189470.55080.5821050.291052
M57.6336900568532912.3185910.61970.535870.267935
M67.5250676677790212.3182810.61090.5416750.270837
M711.076445278704712.318020.89920.3691660.184583
M813.147822889630412.3178061.06740.2865410.14327
M99.5625338338895112.3176390.77630.4380840.219042
M106.6572447781485612.317520.54050.589220.29461
M112.1586223890742812.3174490.17520.8609860.430493
t0.1319557224076130.0242075.451100







Multiple Linear Regression - Regression Statistics
Multiple R0.290657033261095
R-squared0.0844815109841415
Adjusted R-squared0.0528209292314317
F-TEST (value)2.66834992622682
F-TEST (DF numerator)12
F-TEST (DF denominator)347
p-value0.00192590538936599
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation47.705182200249
Sum Squared Residuals789697.189839358

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.290657033261095 \tabularnewline
R-squared & 0.0844815109841415 \tabularnewline
Adjusted R-squared & 0.0528209292314317 \tabularnewline
F-TEST (value) & 2.66834992622682 \tabularnewline
F-TEST (DF numerator) & 12 \tabularnewline
F-TEST (DF denominator) & 347 \tabularnewline
p-value & 0.00192590538936599 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 47.705182200249 \tabularnewline
Sum Squared Residuals & 789697.189839358 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201528&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.290657033261095[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0844815109841415[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.0528209292314317[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]2.66834992622682[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]12[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]347[/C][/ROW]
[ROW][C]p-value[/C][C]0.00192590538936599[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]47.705182200249[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]789697.189839358[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201528&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201528&T=3

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Regression Statistics
Multiple R0.290657033261095
R-squared0.0844815109841415
Adjusted R-squared0.0528209292314317
F-TEST (value)2.66834992622682
F-TEST (DF numerator)12
F-TEST (DF denominator)347
p-value0.00192590538936599
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation47.705182200249
Sum Squared Residuals789697.189839358







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1255279.749704301075-24.7497043010749
2280.2283.056370967742-2.85637096774193
3299.9283.40637096774216.493629032258
4339.2285.58303763440953.6169623655914
5374.2286.56303763440987.6369623655914
6393.5286.586370967742106.913629032258
7389.2290.26970430107598.9302956989247
8381.7292.47303763440989.2269623655914
9375.2289.01970430107586.1802956989247
10369286.24637096774282.753629032258
11357.4281.87970430107575.5202956989247
12352.1279.85303763440972.2469623655914
13346.5281.33317296996765.1668270300334
14342.9284.63983963663358.2601603633667
15340.3284.98983963663355.3101603633667
16328.3287.166506303341.1334936967
17322.9288.146506303334.7534936967
18314.3288.16983963663326.1301603633667
19308.9291.85317296996717.0468270300333
20294294.0565063033-0.0565063032999752
21285.6290.603172969967-5.00317296996662
22281.2287.829839636633-6.62983963663331
23280.3283.463172969967-3.16317296996662
24278.8281.4365063033-2.63650630329996
25274.5282.916641638858-8.416641638858
26270.4286.223308305525-15.8233083055247
27263.4286.573308305525-23.1733083055247
28259.9288.749974972191-28.8499749721914
29258289.729974972191-31.7299749721913
30262.7289.753308305525-27.0533083055247
31284.7293.436641638858-8.73664163885802
32311.3295.63997497219115.6600250278087
33322.1292.18664163885829.913358361142
34327289.41330830552537.5866916944753
35331.3285.04664163885846.253358361142
36333.3283.01997497219150.2800250278087
37321.4284.50011030774936.8998896922506
38327287.80677697441639.193223025584
39320288.15677697441631.843223025584
40314.7290.33344364108324.3665563589173
41316.7291.31344364108325.3865563589173
42314.4291.33677697441623.0632230255839
43321.3295.02011030774926.2798896922506
44318.2297.22344364108320.9765563589173
45307.2293.77011030774913.4298896922506
46301.3290.99677697441610.303223025584
47287.5286.6301103077490.869889692250644
48277.7284.603443641083-6.9034436410827
49274.4286.083578976641-11.6835789766408
50258.8289.390245643307-30.5902456433074
51253.3289.740245643307-36.4402456433074
52251291.916912309974-40.916912309974
53248.4292.896912309974-44.496912309974
54249.5292.920245643307-43.4202456433074
55246.1296.603578976641-50.5035789766407
56244.5298.806912309974-54.306912309974
57243.6295.353578976641-51.7535789766407
58244292.580245643307-48.5802456433074
59240.8288.213578976641-47.4135789766407
60249.8286.186912309974-36.386912309974
61248287.667047645532-39.6670476455321
62259.4290.973714312199-31.5737143121988
63260.5291.323714312199-30.8237143121987
64260.8293.500380978865-32.7003809788654
65261.3294.480380978865-33.1803809788654
66259.5294.503714312199-35.0037143121987
67256.6298.187047645532-41.587047645532
68257.9300.390380978865-42.4903809788654
69256.5296.937047645532-40.4370476455321
70254.2294.163714312199-39.9637143121987
71253.3289.797047645532-36.4970476455321
72253.8287.770380978865-33.9703809788654
73255.5289.250516314423-33.7505163144234
74257.1292.55718298109-35.4571829810901
75257.3292.90718298109-35.6071829810901
76253.2295.083849647757-41.8838496477568
77252.8296.063849647757-43.2638496477568
78252296.08718298109-44.0871829810901
79250.7299.770516314423-49.0705163144234
80252.2301.973849647757-49.7738496477568
81250298.520516314423-48.5205163144234
82251295.74718298109-44.7471829810901
83253.4291.380516314423-37.9805163144234
84251.2289.353849647757-38.1538496477568
85255.6290.833984983315-35.2339849833148
86261.1294.140651649981-33.0406516499814
87258.9294.490651649981-35.5906516499815
88259.9296.667318316648-36.7673183166481
89261.2297.647318316648-36.4473183166481
90264.7297.670651649981-32.9706516499815
91267.1301.353984983315-34.2539849833148
92266.4303.557318316648-37.1573183166481
93267.7300.103984983315-32.4039849833148
94268.6297.330651649981-28.7306516499814
95267.5292.963984983315-25.4639849833148
96268.5290.937318316648-22.4373183166481
97268.5292.417453652206-23.9174536522062
98270.5295.724120318873-25.2241203188728
99270.9296.074120318873-25.1741203188728
100270.1298.250786985539-28.1507869855395
101269.3299.23078698554-29.9307869855395
102269.8299.254120318873-29.4541203188728
103270.1302.937453652206-32.8374536522061
104264.9305.140786985539-40.2407869855395
105263.7301.687453652206-37.9874536522062
106264.8298.914120318873-34.1141203188728
107263.7294.547453652206-30.8474536522062
108255.9292.520786985539-36.6207869855395
109276.2294.000922321098-17.8009223210975
110360.1297.30758898776462.7924110122358
111380.5297.65758898776482.8424110122358
112373.7299.83425565443173.8657443455691
113369.8300.81425565443168.9857443455692
114366.6300.83758898776465.7624110122358
115359.3304.52092232109754.7790776789025
116345.8306.72425565443139.0757443455692
117326.2303.27092232109822.9290776789025
118324.5300.49758898776424.0024110122358
119328.1296.13092232109831.9690776789025
120327.5294.10425565443133.3957443455692
121324.4295.58439098998928.8156090100111
122316.5298.89105765665617.6089423433445
123310.9299.24105765665611.6589423433444
124301.5301.4177243233220.082275676677792
125291.7302.397724323322-10.6977243233222
126290.4302.421057656656-12.0210576566556
127287.4306.104390989989-18.7043909899889
128277.7308.307724323322-30.6077243233222
129281.6304.854390989989-23.2543909899889
130288302.081057656656-14.0810576566555
131276297.714390989989-21.7143909899889
132272.9295.687724323322-22.7877243233222
133283297.16785965888-14.1678596588802
134283.3300.474526325547-17.1745263255469
135276.8300.824526325547-24.0245263255469
136284.5303.001192992214-18.5011929922136
137282.7303.981192992214-21.2811929922136
138281.2304.004526325547-22.8045263255469
139287.4307.68785965888-20.2878596588803
140283.1309.891192992214-26.7911929922136
141284306.43785965888-22.4378596588802
142285.5303.664526325547-18.1645263255469
143289.2299.29785965888-10.0978596588802
144292.5297.271192992214-4.77119299221357
145296.4298.751328327772-2.35132832777163
146305.2302.0579949944383.14200500556172
147303.9302.4079949944381.49200500556172
148311.5304.5846616611056.91533833889507
149316.3305.56466166110510.7353383388951
150316.7305.58799499443811.1120050055617
151322.5309.27132832777213.2286716722284
152317.1311.4746616611055.6253383388951
153309.8308.0213283277721.77867167222841
154303.8305.247994994438-1.44799499443825
155290.3300.881328327772-10.5813283277716
156293.7298.854661661105-5.15466166110494
157291.7300.334796996663-8.63479699666298
158296.5303.64146366333-7.14146366332962
159289.1303.99146366333-14.8914636633296
160288.5306.168130329996-17.6681303299963
161293.8307.148130329996-13.3481303299963
162297.7307.17146366333-9.47146366332964
163305.4310.854796996663-5.45479699666299
164302.7313.058130329996-10.3581303299963
165302.5309.604796996663-7.10479699666295
166303306.83146366333-3.83146366332962
167294.5302.464796996663-7.96479699666296
168294.1300.438130329996-6.33813032999627
169294.5301.918265665554-7.41826566555433
170297.1305.224932332221-8.12493233222096
171289.4305.574932332221-16.174932332221
172292.4307.751598998888-15.3515989988877
173287.9308.731598998888-20.8315989988877
174286.6308.754932332221-22.154932332221
175280.5312.438265665554-31.9382656655543
176272.4314.641598998888-42.2415989988877
177269.2311.188265665554-41.9882656655543
178270.6308.414932332221-37.814932332221
179267.3304.048265665554-36.7482656655543
180262.5302.021598998888-39.5215989988877
181266.8303.501734334446-36.7017343344457
182268.8306.808401001112-38.0084010011123
183263.1307.158401001112-44.0584010011123
184261.2309.335067667779-48.135067667779
185266310.315067667779-44.315067667779
186262.5310.338401001112-47.8384010011123
187265.2314.021734334446-48.8217343344457
188261.3316.225067667779-54.925067667779
189253.7312.771734334446-59.0717343344457
190249.2309.998401001112-60.7984010011124
191239.1305.631734334446-66.5317343344457
192236.4303.605067667779-67.205067667779
193235.2305.085203003337-69.8852030033371
194245.2308.391869670004-63.1918696700037
195246.2308.741869670004-62.5418696700037
196247.7310.91853633667-63.2185363366704
197251.4311.89853633667-60.4985363366704
198253.3311.921869670004-58.6218696700037
199254.8315.605203003337-60.805203003337
200250317.80853633667-67.8085363366704
201249.3314.355203003337-65.055203003337
202241.5311.581869670004-70.0818696700037
203243.3307.215203003337-63.915203003337
204248305.18853633667-57.1885363366704
205253306.668671672228-53.6686716722284
206252.9309.975338338895-57.0753383388951
207251.5310.325338338895-58.8253383388951
208251.6312.502005005562-60.9020050055617
209253.5313.482005005562-59.9820050055617
210259.8313.505338338895-53.7053383388951
211334.1317.18867167222816.9113283277716
212448319.392005005562128.607994994438
213445.8315.938671672228129.861328327772
214445313.165338338895131.834661661105
215448.2308.798671672228139.401328327772
216438.2306.772005005562131.427994994438
217439.8308.25214034112131.54785965888
218423.4311.558807007786111.841192992214
219410.8311.90880700778698.8911929922136
220408.4314.08547367445394.3145263255469
221406.7315.06547367445391.6345263255469
222405.9315.08880700778690.8111929922135
223402.7318.7721403411283.9278596588802
224405.1320.97547367445384.1245263255469
225399.6317.5221403411282.0778596588803
226386.5314.74880700778671.7511929922136
227381.4310.3821403411271.0178596588802
228375.2308.35547367445366.8445263255469
229357.7309.83560901001147.8643909899889
230359313.14227567667845.8577243233222
231355313.49227567667841.5077243233222
232352.7315.66894234334437.0310576566555
233344.4316.64894234334427.7510576566555
234343.8316.67227567667827.1277243233222
235338320.35560901001117.6443909899889
236339322.55894234334416.4410576566555
237333.3319.10560901001114.1943909899889
238334.4316.33227567667818.0677243233222
239328.3311.96560901001116.3343909899889
240330.7309.93894234334420.7610576566555
241330311.41907767890318.5809223210975
242331.6314.72574434556916.8742556544309
243351.2315.07574434556936.1242556544308
244389.4317.25241101223672.1475889877642
245410.9318.23241101223692.6675889877642
246442.8318.255744345569124.544255654431
247462.8321.939077678902140.860922321098
248466.9324.142411012236142.757588987764
249461.7320.689077678902141.010922321097
250439.2317.915744345569121.284255654431
251430.3313.549077678902116.750922321098
252416.1311.522411012236104.577588987764
253402.5313.00254634779489.4974536522061
254397.3316.30921301446180.9907869855395
255403.3316.65921301446186.6407869855395
256395.9318.83587968112777.0641203188728
257387.8319.81587968112767.9841203188728
258378.6319.83921301446158.7607869855395
259377.1323.52254634779453.5774536522062
260370.4325.72587968112744.6741203188728
261362322.27254634779439.7274536522062
262350.3319.49921301446130.8007869855395
263348.2315.13254634779433.0674536522062
264344.6313.10587968112731.4941203188728
265343.5314.58601501668528.9139849833148
266342.8317.89268168335224.9073183166481
267347.6318.24268168335229.3573183166481
268346.6320.41934835001926.1806516499815
269349.5321.39934835001928.1006516499815
270342.1321.42268168335220.6773183166481
271342325.10601501668516.8939849833148
272342.8327.30934835001915.4906516499815
273339.3323.85601501668515.4439849833148
274348.2321.08268168335227.1173183166481
275333.7316.71601501668516.9839849833148
276334.7314.68934835001920.0106516499814
277354316.16948368557737.8305163144234
278367.7319.47615035224348.2238496477568
279363.3319.82615035224343.4738496477568
280358.4322.0028170189136.3971829810901
281353.1322.9828170189130.1171829810901
282343.1323.00615035224320.0938496477568
283344.6326.68948368557717.9105163144235
284344.4328.8928170189115.5071829810901
285333.9325.4394836855778.46051631442341
286331.7322.6661503522439.03384964775676
287324.3318.2994836855776.00051631442344
288321.2316.272817018914.92718298109009
289322.4317.7529523544684.64704764553204
290321.7321.0596190211350.640380978865405
291320.5321.409619021135-0.909619021134578
292312.8323.586285687801-10.7862856878012
293309.7324.566285687801-14.8662856878013
294315.6324.589619021135-8.98961902113457
295309.7328.272952354468-18.572952354468
296304.6330.476285687801-25.8762856878012
297302.5327.022952354468-24.5229523544679
298301.5324.249619021135-22.7496190211346
299298.8319.882952354468-21.0829523544679
300291.3317.856285687801-26.5562856878013
301293.6319.336421023359-25.7364210233593
302294.6322.643087690026-28.0430876900259
303285.9322.993087690026-37.093087690026
304297.6325.169754356693-27.5697543566926
305301.1326.149754356693-25.0497543566926
306293.8326.173087690026-32.3730876900259
307297.7329.856421023359-32.1564210233593
308292.9332.059754356693-39.1597543566926
309292.1328.606421023359-36.5064210233593
310287.2325.833087690026-38.633087690026
311288.2321.466421023359-33.2664210233593
312283.8319.439754356693-35.6397543566926
313299.9320.919889692251-21.0198896922507
314292.4324.226556358917-31.8265563589173
315293.3324.576556358917-31.2765563589173
316300.8326.753223025584-25.953223025584
317293.7327.733223025584-34.033223025584
318293.1327.756556358917-34.6565563589173
319294.4331.439889692251-37.0398896922507
320292.1333.643223025584-41.543223025584
321291.9330.189889692251-38.2898896922507
322282.5327.416556358917-44.9165563589173
323277.9323.049889692251-45.1498896922507
324287.5321.023223025584-33.523223025584
325289.2322.503358361142-33.303358361142
326285.6325.810025027809-40.2100250278086
327293.2326.160025027809-32.9600250278087
328290.8328.336691694475-37.5366916944753
329283.1329.316691694475-46.2166916944753
330275329.340025027809-54.3400250278087
331287.8333.023358361142-45.223358361142
332287.8335.226691694475-47.4266916944753
333287.4331.773358361142-44.373358361142
334284329.000025027809-45.0000250278087
335277.8324.633358361142-46.833358361142
336277.6322.606691694475-45.0066916944753
337304.9324.086827030033-19.1868270300334
338294327.3934936967-33.3934936967
339300.9327.7434936967-26.8434936967001
340324329.920160363367-5.9201603633667
341332.9330.9001603633671.99983963663327
342341.6330.923493696710.6765063033
343333.4334.606827030033-1.20682703003341
344348.2336.81016036336711.3898396366333
345344.7333.35682703003311.3431729699666
346344.7330.583493696714.1165063033
347329.3326.2168270300333.08317296996664
348323.5324.190160363367-0.690160363366705
349323.2325.670295698925-2.47029569892474
350317.4328.976962365591-11.5769623655914
351330.1329.3269623655910.773037634408624
352329.2331.503629032258-2.30362903225808
353334.9332.4836290322582.41637096774191
354315.8332.506962365591-16.7069623655914
355315.4336.190295698925-20.7902956989248
356319.6338.393629032258-18.793629032258
357317.3334.940295698925-17.6402956989247
358313.8332.166962365591-18.3669623655914
359315.8327.800295698925-12.0002956989247
360311.3325.773629032258-14.473629032258

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 255 & 279.749704301075 & -24.7497043010749 \tabularnewline
2 & 280.2 & 283.056370967742 & -2.85637096774193 \tabularnewline
3 & 299.9 & 283.406370967742 & 16.493629032258 \tabularnewline
4 & 339.2 & 285.583037634409 & 53.6169623655914 \tabularnewline
5 & 374.2 & 286.563037634409 & 87.6369623655914 \tabularnewline
6 & 393.5 & 286.586370967742 & 106.913629032258 \tabularnewline
7 & 389.2 & 290.269704301075 & 98.9302956989247 \tabularnewline
8 & 381.7 & 292.473037634409 & 89.2269623655914 \tabularnewline
9 & 375.2 & 289.019704301075 & 86.1802956989247 \tabularnewline
10 & 369 & 286.246370967742 & 82.753629032258 \tabularnewline
11 & 357.4 & 281.879704301075 & 75.5202956989247 \tabularnewline
12 & 352.1 & 279.853037634409 & 72.2469623655914 \tabularnewline
13 & 346.5 & 281.333172969967 & 65.1668270300334 \tabularnewline
14 & 342.9 & 284.639839636633 & 58.2601603633667 \tabularnewline
15 & 340.3 & 284.989839636633 & 55.3101603633667 \tabularnewline
16 & 328.3 & 287.1665063033 & 41.1334936967 \tabularnewline
17 & 322.9 & 288.1465063033 & 34.7534936967 \tabularnewline
18 & 314.3 & 288.169839636633 & 26.1301603633667 \tabularnewline
19 & 308.9 & 291.853172969967 & 17.0468270300333 \tabularnewline
20 & 294 & 294.0565063033 & -0.0565063032999752 \tabularnewline
21 & 285.6 & 290.603172969967 & -5.00317296996662 \tabularnewline
22 & 281.2 & 287.829839636633 & -6.62983963663331 \tabularnewline
23 & 280.3 & 283.463172969967 & -3.16317296996662 \tabularnewline
24 & 278.8 & 281.4365063033 & -2.63650630329996 \tabularnewline
25 & 274.5 & 282.916641638858 & -8.416641638858 \tabularnewline
26 & 270.4 & 286.223308305525 & -15.8233083055247 \tabularnewline
27 & 263.4 & 286.573308305525 & -23.1733083055247 \tabularnewline
28 & 259.9 & 288.749974972191 & -28.8499749721914 \tabularnewline
29 & 258 & 289.729974972191 & -31.7299749721913 \tabularnewline
30 & 262.7 & 289.753308305525 & -27.0533083055247 \tabularnewline
31 & 284.7 & 293.436641638858 & -8.73664163885802 \tabularnewline
32 & 311.3 & 295.639974972191 & 15.6600250278087 \tabularnewline
33 & 322.1 & 292.186641638858 & 29.913358361142 \tabularnewline
34 & 327 & 289.413308305525 & 37.5866916944753 \tabularnewline
35 & 331.3 & 285.046641638858 & 46.253358361142 \tabularnewline
36 & 333.3 & 283.019974972191 & 50.2800250278087 \tabularnewline
37 & 321.4 & 284.500110307749 & 36.8998896922506 \tabularnewline
38 & 327 & 287.806776974416 & 39.193223025584 \tabularnewline
39 & 320 & 288.156776974416 & 31.843223025584 \tabularnewline
40 & 314.7 & 290.333443641083 & 24.3665563589173 \tabularnewline
41 & 316.7 & 291.313443641083 & 25.3865563589173 \tabularnewline
42 & 314.4 & 291.336776974416 & 23.0632230255839 \tabularnewline
43 & 321.3 & 295.020110307749 & 26.2798896922506 \tabularnewline
44 & 318.2 & 297.223443641083 & 20.9765563589173 \tabularnewline
45 & 307.2 & 293.770110307749 & 13.4298896922506 \tabularnewline
46 & 301.3 & 290.996776974416 & 10.303223025584 \tabularnewline
47 & 287.5 & 286.630110307749 & 0.869889692250644 \tabularnewline
48 & 277.7 & 284.603443641083 & -6.9034436410827 \tabularnewline
49 & 274.4 & 286.083578976641 & -11.6835789766408 \tabularnewline
50 & 258.8 & 289.390245643307 & -30.5902456433074 \tabularnewline
51 & 253.3 & 289.740245643307 & -36.4402456433074 \tabularnewline
52 & 251 & 291.916912309974 & -40.916912309974 \tabularnewline
53 & 248.4 & 292.896912309974 & -44.496912309974 \tabularnewline
54 & 249.5 & 292.920245643307 & -43.4202456433074 \tabularnewline
55 & 246.1 & 296.603578976641 & -50.5035789766407 \tabularnewline
56 & 244.5 & 298.806912309974 & -54.306912309974 \tabularnewline
57 & 243.6 & 295.353578976641 & -51.7535789766407 \tabularnewline
58 & 244 & 292.580245643307 & -48.5802456433074 \tabularnewline
59 & 240.8 & 288.213578976641 & -47.4135789766407 \tabularnewline
60 & 249.8 & 286.186912309974 & -36.386912309974 \tabularnewline
61 & 248 & 287.667047645532 & -39.6670476455321 \tabularnewline
62 & 259.4 & 290.973714312199 & -31.5737143121988 \tabularnewline
63 & 260.5 & 291.323714312199 & -30.8237143121987 \tabularnewline
64 & 260.8 & 293.500380978865 & -32.7003809788654 \tabularnewline
65 & 261.3 & 294.480380978865 & -33.1803809788654 \tabularnewline
66 & 259.5 & 294.503714312199 & -35.0037143121987 \tabularnewline
67 & 256.6 & 298.187047645532 & -41.587047645532 \tabularnewline
68 & 257.9 & 300.390380978865 & -42.4903809788654 \tabularnewline
69 & 256.5 & 296.937047645532 & -40.4370476455321 \tabularnewline
70 & 254.2 & 294.163714312199 & -39.9637143121987 \tabularnewline
71 & 253.3 & 289.797047645532 & -36.4970476455321 \tabularnewline
72 & 253.8 & 287.770380978865 & -33.9703809788654 \tabularnewline
73 & 255.5 & 289.250516314423 & -33.7505163144234 \tabularnewline
74 & 257.1 & 292.55718298109 & -35.4571829810901 \tabularnewline
75 & 257.3 & 292.90718298109 & -35.6071829810901 \tabularnewline
76 & 253.2 & 295.083849647757 & -41.8838496477568 \tabularnewline
77 & 252.8 & 296.063849647757 & -43.2638496477568 \tabularnewline
78 & 252 & 296.08718298109 & -44.0871829810901 \tabularnewline
79 & 250.7 & 299.770516314423 & -49.0705163144234 \tabularnewline
80 & 252.2 & 301.973849647757 & -49.7738496477568 \tabularnewline
81 & 250 & 298.520516314423 & -48.5205163144234 \tabularnewline
82 & 251 & 295.74718298109 & -44.7471829810901 \tabularnewline
83 & 253.4 & 291.380516314423 & -37.9805163144234 \tabularnewline
84 & 251.2 & 289.353849647757 & -38.1538496477568 \tabularnewline
85 & 255.6 & 290.833984983315 & -35.2339849833148 \tabularnewline
86 & 261.1 & 294.140651649981 & -33.0406516499814 \tabularnewline
87 & 258.9 & 294.490651649981 & -35.5906516499815 \tabularnewline
88 & 259.9 & 296.667318316648 & -36.7673183166481 \tabularnewline
89 & 261.2 & 297.647318316648 & -36.4473183166481 \tabularnewline
90 & 264.7 & 297.670651649981 & -32.9706516499815 \tabularnewline
91 & 267.1 & 301.353984983315 & -34.2539849833148 \tabularnewline
92 & 266.4 & 303.557318316648 & -37.1573183166481 \tabularnewline
93 & 267.7 & 300.103984983315 & -32.4039849833148 \tabularnewline
94 & 268.6 & 297.330651649981 & -28.7306516499814 \tabularnewline
95 & 267.5 & 292.963984983315 & -25.4639849833148 \tabularnewline
96 & 268.5 & 290.937318316648 & -22.4373183166481 \tabularnewline
97 & 268.5 & 292.417453652206 & -23.9174536522062 \tabularnewline
98 & 270.5 & 295.724120318873 & -25.2241203188728 \tabularnewline
99 & 270.9 & 296.074120318873 & -25.1741203188728 \tabularnewline
100 & 270.1 & 298.250786985539 & -28.1507869855395 \tabularnewline
101 & 269.3 & 299.23078698554 & -29.9307869855395 \tabularnewline
102 & 269.8 & 299.254120318873 & -29.4541203188728 \tabularnewline
103 & 270.1 & 302.937453652206 & -32.8374536522061 \tabularnewline
104 & 264.9 & 305.140786985539 & -40.2407869855395 \tabularnewline
105 & 263.7 & 301.687453652206 & -37.9874536522062 \tabularnewline
106 & 264.8 & 298.914120318873 & -34.1141203188728 \tabularnewline
107 & 263.7 & 294.547453652206 & -30.8474536522062 \tabularnewline
108 & 255.9 & 292.520786985539 & -36.6207869855395 \tabularnewline
109 & 276.2 & 294.000922321098 & -17.8009223210975 \tabularnewline
110 & 360.1 & 297.307588987764 & 62.7924110122358 \tabularnewline
111 & 380.5 & 297.657588987764 & 82.8424110122358 \tabularnewline
112 & 373.7 & 299.834255654431 & 73.8657443455691 \tabularnewline
113 & 369.8 & 300.814255654431 & 68.9857443455692 \tabularnewline
114 & 366.6 & 300.837588987764 & 65.7624110122358 \tabularnewline
115 & 359.3 & 304.520922321097 & 54.7790776789025 \tabularnewline
116 & 345.8 & 306.724255654431 & 39.0757443455692 \tabularnewline
117 & 326.2 & 303.270922321098 & 22.9290776789025 \tabularnewline
118 & 324.5 & 300.497588987764 & 24.0024110122358 \tabularnewline
119 & 328.1 & 296.130922321098 & 31.9690776789025 \tabularnewline
120 & 327.5 & 294.104255654431 & 33.3957443455692 \tabularnewline
121 & 324.4 & 295.584390989989 & 28.8156090100111 \tabularnewline
122 & 316.5 & 298.891057656656 & 17.6089423433445 \tabularnewline
123 & 310.9 & 299.241057656656 & 11.6589423433444 \tabularnewline
124 & 301.5 & 301.417724323322 & 0.082275676677792 \tabularnewline
125 & 291.7 & 302.397724323322 & -10.6977243233222 \tabularnewline
126 & 290.4 & 302.421057656656 & -12.0210576566556 \tabularnewline
127 & 287.4 & 306.104390989989 & -18.7043909899889 \tabularnewline
128 & 277.7 & 308.307724323322 & -30.6077243233222 \tabularnewline
129 & 281.6 & 304.854390989989 & -23.2543909899889 \tabularnewline
130 & 288 & 302.081057656656 & -14.0810576566555 \tabularnewline
131 & 276 & 297.714390989989 & -21.7143909899889 \tabularnewline
132 & 272.9 & 295.687724323322 & -22.7877243233222 \tabularnewline
133 & 283 & 297.16785965888 & -14.1678596588802 \tabularnewline
134 & 283.3 & 300.474526325547 & -17.1745263255469 \tabularnewline
135 & 276.8 & 300.824526325547 & -24.0245263255469 \tabularnewline
136 & 284.5 & 303.001192992214 & -18.5011929922136 \tabularnewline
137 & 282.7 & 303.981192992214 & -21.2811929922136 \tabularnewline
138 & 281.2 & 304.004526325547 & -22.8045263255469 \tabularnewline
139 & 287.4 & 307.68785965888 & -20.2878596588803 \tabularnewline
140 & 283.1 & 309.891192992214 & -26.7911929922136 \tabularnewline
141 & 284 & 306.43785965888 & -22.4378596588802 \tabularnewline
142 & 285.5 & 303.664526325547 & -18.1645263255469 \tabularnewline
143 & 289.2 & 299.29785965888 & -10.0978596588802 \tabularnewline
144 & 292.5 & 297.271192992214 & -4.77119299221357 \tabularnewline
145 & 296.4 & 298.751328327772 & -2.35132832777163 \tabularnewline
146 & 305.2 & 302.057994994438 & 3.14200500556172 \tabularnewline
147 & 303.9 & 302.407994994438 & 1.49200500556172 \tabularnewline
148 & 311.5 & 304.584661661105 & 6.91533833889507 \tabularnewline
149 & 316.3 & 305.564661661105 & 10.7353383388951 \tabularnewline
150 & 316.7 & 305.587994994438 & 11.1120050055617 \tabularnewline
151 & 322.5 & 309.271328327772 & 13.2286716722284 \tabularnewline
152 & 317.1 & 311.474661661105 & 5.6253383388951 \tabularnewline
153 & 309.8 & 308.021328327772 & 1.77867167222841 \tabularnewline
154 & 303.8 & 305.247994994438 & -1.44799499443825 \tabularnewline
155 & 290.3 & 300.881328327772 & -10.5813283277716 \tabularnewline
156 & 293.7 & 298.854661661105 & -5.15466166110494 \tabularnewline
157 & 291.7 & 300.334796996663 & -8.63479699666298 \tabularnewline
158 & 296.5 & 303.64146366333 & -7.14146366332962 \tabularnewline
159 & 289.1 & 303.99146366333 & -14.8914636633296 \tabularnewline
160 & 288.5 & 306.168130329996 & -17.6681303299963 \tabularnewline
161 & 293.8 & 307.148130329996 & -13.3481303299963 \tabularnewline
162 & 297.7 & 307.17146366333 & -9.47146366332964 \tabularnewline
163 & 305.4 & 310.854796996663 & -5.45479699666299 \tabularnewline
164 & 302.7 & 313.058130329996 & -10.3581303299963 \tabularnewline
165 & 302.5 & 309.604796996663 & -7.10479699666295 \tabularnewline
166 & 303 & 306.83146366333 & -3.83146366332962 \tabularnewline
167 & 294.5 & 302.464796996663 & -7.96479699666296 \tabularnewline
168 & 294.1 & 300.438130329996 & -6.33813032999627 \tabularnewline
169 & 294.5 & 301.918265665554 & -7.41826566555433 \tabularnewline
170 & 297.1 & 305.224932332221 & -8.12493233222096 \tabularnewline
171 & 289.4 & 305.574932332221 & -16.174932332221 \tabularnewline
172 & 292.4 & 307.751598998888 & -15.3515989988877 \tabularnewline
173 & 287.9 & 308.731598998888 & -20.8315989988877 \tabularnewline
174 & 286.6 & 308.754932332221 & -22.154932332221 \tabularnewline
175 & 280.5 & 312.438265665554 & -31.9382656655543 \tabularnewline
176 & 272.4 & 314.641598998888 & -42.2415989988877 \tabularnewline
177 & 269.2 & 311.188265665554 & -41.9882656655543 \tabularnewline
178 & 270.6 & 308.414932332221 & -37.814932332221 \tabularnewline
179 & 267.3 & 304.048265665554 & -36.7482656655543 \tabularnewline
180 & 262.5 & 302.021598998888 & -39.5215989988877 \tabularnewline
181 & 266.8 & 303.501734334446 & -36.7017343344457 \tabularnewline
182 & 268.8 & 306.808401001112 & -38.0084010011123 \tabularnewline
183 & 263.1 & 307.158401001112 & -44.0584010011123 \tabularnewline
184 & 261.2 & 309.335067667779 & -48.135067667779 \tabularnewline
185 & 266 & 310.315067667779 & -44.315067667779 \tabularnewline
186 & 262.5 & 310.338401001112 & -47.8384010011123 \tabularnewline
187 & 265.2 & 314.021734334446 & -48.8217343344457 \tabularnewline
188 & 261.3 & 316.225067667779 & -54.925067667779 \tabularnewline
189 & 253.7 & 312.771734334446 & -59.0717343344457 \tabularnewline
190 & 249.2 & 309.998401001112 & -60.7984010011124 \tabularnewline
191 & 239.1 & 305.631734334446 & -66.5317343344457 \tabularnewline
192 & 236.4 & 303.605067667779 & -67.205067667779 \tabularnewline
193 & 235.2 & 305.085203003337 & -69.8852030033371 \tabularnewline
194 & 245.2 & 308.391869670004 & -63.1918696700037 \tabularnewline
195 & 246.2 & 308.741869670004 & -62.5418696700037 \tabularnewline
196 & 247.7 & 310.91853633667 & -63.2185363366704 \tabularnewline
197 & 251.4 & 311.89853633667 & -60.4985363366704 \tabularnewline
198 & 253.3 & 311.921869670004 & -58.6218696700037 \tabularnewline
199 & 254.8 & 315.605203003337 & -60.805203003337 \tabularnewline
200 & 250 & 317.80853633667 & -67.8085363366704 \tabularnewline
201 & 249.3 & 314.355203003337 & -65.055203003337 \tabularnewline
202 & 241.5 & 311.581869670004 & -70.0818696700037 \tabularnewline
203 & 243.3 & 307.215203003337 & -63.915203003337 \tabularnewline
204 & 248 & 305.18853633667 & -57.1885363366704 \tabularnewline
205 & 253 & 306.668671672228 & -53.6686716722284 \tabularnewline
206 & 252.9 & 309.975338338895 & -57.0753383388951 \tabularnewline
207 & 251.5 & 310.325338338895 & -58.8253383388951 \tabularnewline
208 & 251.6 & 312.502005005562 & -60.9020050055617 \tabularnewline
209 & 253.5 & 313.482005005562 & -59.9820050055617 \tabularnewline
210 & 259.8 & 313.505338338895 & -53.7053383388951 \tabularnewline
211 & 334.1 & 317.188671672228 & 16.9113283277716 \tabularnewline
212 & 448 & 319.392005005562 & 128.607994994438 \tabularnewline
213 & 445.8 & 315.938671672228 & 129.861328327772 \tabularnewline
214 & 445 & 313.165338338895 & 131.834661661105 \tabularnewline
215 & 448.2 & 308.798671672228 & 139.401328327772 \tabularnewline
216 & 438.2 & 306.772005005562 & 131.427994994438 \tabularnewline
217 & 439.8 & 308.25214034112 & 131.54785965888 \tabularnewline
218 & 423.4 & 311.558807007786 & 111.841192992214 \tabularnewline
219 & 410.8 & 311.908807007786 & 98.8911929922136 \tabularnewline
220 & 408.4 & 314.085473674453 & 94.3145263255469 \tabularnewline
221 & 406.7 & 315.065473674453 & 91.6345263255469 \tabularnewline
222 & 405.9 & 315.088807007786 & 90.8111929922135 \tabularnewline
223 & 402.7 & 318.77214034112 & 83.9278596588802 \tabularnewline
224 & 405.1 & 320.975473674453 & 84.1245263255469 \tabularnewline
225 & 399.6 & 317.52214034112 & 82.0778596588803 \tabularnewline
226 & 386.5 & 314.748807007786 & 71.7511929922136 \tabularnewline
227 & 381.4 & 310.38214034112 & 71.0178596588802 \tabularnewline
228 & 375.2 & 308.355473674453 & 66.8445263255469 \tabularnewline
229 & 357.7 & 309.835609010011 & 47.8643909899889 \tabularnewline
230 & 359 & 313.142275676678 & 45.8577243233222 \tabularnewline
231 & 355 & 313.492275676678 & 41.5077243233222 \tabularnewline
232 & 352.7 & 315.668942343344 & 37.0310576566555 \tabularnewline
233 & 344.4 & 316.648942343344 & 27.7510576566555 \tabularnewline
234 & 343.8 & 316.672275676678 & 27.1277243233222 \tabularnewline
235 & 338 & 320.355609010011 & 17.6443909899889 \tabularnewline
236 & 339 & 322.558942343344 & 16.4410576566555 \tabularnewline
237 & 333.3 & 319.105609010011 & 14.1943909899889 \tabularnewline
238 & 334.4 & 316.332275676678 & 18.0677243233222 \tabularnewline
239 & 328.3 & 311.965609010011 & 16.3343909899889 \tabularnewline
240 & 330.7 & 309.938942343344 & 20.7610576566555 \tabularnewline
241 & 330 & 311.419077678903 & 18.5809223210975 \tabularnewline
242 & 331.6 & 314.725744345569 & 16.8742556544309 \tabularnewline
243 & 351.2 & 315.075744345569 & 36.1242556544308 \tabularnewline
244 & 389.4 & 317.252411012236 & 72.1475889877642 \tabularnewline
245 & 410.9 & 318.232411012236 & 92.6675889877642 \tabularnewline
246 & 442.8 & 318.255744345569 & 124.544255654431 \tabularnewline
247 & 462.8 & 321.939077678902 & 140.860922321098 \tabularnewline
248 & 466.9 & 324.142411012236 & 142.757588987764 \tabularnewline
249 & 461.7 & 320.689077678902 & 141.010922321097 \tabularnewline
250 & 439.2 & 317.915744345569 & 121.284255654431 \tabularnewline
251 & 430.3 & 313.549077678902 & 116.750922321098 \tabularnewline
252 & 416.1 & 311.522411012236 & 104.577588987764 \tabularnewline
253 & 402.5 & 313.002546347794 & 89.4974536522061 \tabularnewline
254 & 397.3 & 316.309213014461 & 80.9907869855395 \tabularnewline
255 & 403.3 & 316.659213014461 & 86.6407869855395 \tabularnewline
256 & 395.9 & 318.835879681127 & 77.0641203188728 \tabularnewline
257 & 387.8 & 319.815879681127 & 67.9841203188728 \tabularnewline
258 & 378.6 & 319.839213014461 & 58.7607869855395 \tabularnewline
259 & 377.1 & 323.522546347794 & 53.5774536522062 \tabularnewline
260 & 370.4 & 325.725879681127 & 44.6741203188728 \tabularnewline
261 & 362 & 322.272546347794 & 39.7274536522062 \tabularnewline
262 & 350.3 & 319.499213014461 & 30.8007869855395 \tabularnewline
263 & 348.2 & 315.132546347794 & 33.0674536522062 \tabularnewline
264 & 344.6 & 313.105879681127 & 31.4941203188728 \tabularnewline
265 & 343.5 & 314.586015016685 & 28.9139849833148 \tabularnewline
266 & 342.8 & 317.892681683352 & 24.9073183166481 \tabularnewline
267 & 347.6 & 318.242681683352 & 29.3573183166481 \tabularnewline
268 & 346.6 & 320.419348350019 & 26.1806516499815 \tabularnewline
269 & 349.5 & 321.399348350019 & 28.1006516499815 \tabularnewline
270 & 342.1 & 321.422681683352 & 20.6773183166481 \tabularnewline
271 & 342 & 325.106015016685 & 16.8939849833148 \tabularnewline
272 & 342.8 & 327.309348350019 & 15.4906516499815 \tabularnewline
273 & 339.3 & 323.856015016685 & 15.4439849833148 \tabularnewline
274 & 348.2 & 321.082681683352 & 27.1173183166481 \tabularnewline
275 & 333.7 & 316.716015016685 & 16.9839849833148 \tabularnewline
276 & 334.7 & 314.689348350019 & 20.0106516499814 \tabularnewline
277 & 354 & 316.169483685577 & 37.8305163144234 \tabularnewline
278 & 367.7 & 319.476150352243 & 48.2238496477568 \tabularnewline
279 & 363.3 & 319.826150352243 & 43.4738496477568 \tabularnewline
280 & 358.4 & 322.00281701891 & 36.3971829810901 \tabularnewline
281 & 353.1 & 322.98281701891 & 30.1171829810901 \tabularnewline
282 & 343.1 & 323.006150352243 & 20.0938496477568 \tabularnewline
283 & 344.6 & 326.689483685577 & 17.9105163144235 \tabularnewline
284 & 344.4 & 328.89281701891 & 15.5071829810901 \tabularnewline
285 & 333.9 & 325.439483685577 & 8.46051631442341 \tabularnewline
286 & 331.7 & 322.666150352243 & 9.03384964775676 \tabularnewline
287 & 324.3 & 318.299483685577 & 6.00051631442344 \tabularnewline
288 & 321.2 & 316.27281701891 & 4.92718298109009 \tabularnewline
289 & 322.4 & 317.752952354468 & 4.64704764553204 \tabularnewline
290 & 321.7 & 321.059619021135 & 0.640380978865405 \tabularnewline
291 & 320.5 & 321.409619021135 & -0.909619021134578 \tabularnewline
292 & 312.8 & 323.586285687801 & -10.7862856878012 \tabularnewline
293 & 309.7 & 324.566285687801 & -14.8662856878013 \tabularnewline
294 & 315.6 & 324.589619021135 & -8.98961902113457 \tabularnewline
295 & 309.7 & 328.272952354468 & -18.572952354468 \tabularnewline
296 & 304.6 & 330.476285687801 & -25.8762856878012 \tabularnewline
297 & 302.5 & 327.022952354468 & -24.5229523544679 \tabularnewline
298 & 301.5 & 324.249619021135 & -22.7496190211346 \tabularnewline
299 & 298.8 & 319.882952354468 & -21.0829523544679 \tabularnewline
300 & 291.3 & 317.856285687801 & -26.5562856878013 \tabularnewline
301 & 293.6 & 319.336421023359 & -25.7364210233593 \tabularnewline
302 & 294.6 & 322.643087690026 & -28.0430876900259 \tabularnewline
303 & 285.9 & 322.993087690026 & -37.093087690026 \tabularnewline
304 & 297.6 & 325.169754356693 & -27.5697543566926 \tabularnewline
305 & 301.1 & 326.149754356693 & -25.0497543566926 \tabularnewline
306 & 293.8 & 326.173087690026 & -32.3730876900259 \tabularnewline
307 & 297.7 & 329.856421023359 & -32.1564210233593 \tabularnewline
308 & 292.9 & 332.059754356693 & -39.1597543566926 \tabularnewline
309 & 292.1 & 328.606421023359 & -36.5064210233593 \tabularnewline
310 & 287.2 & 325.833087690026 & -38.633087690026 \tabularnewline
311 & 288.2 & 321.466421023359 & -33.2664210233593 \tabularnewline
312 & 283.8 & 319.439754356693 & -35.6397543566926 \tabularnewline
313 & 299.9 & 320.919889692251 & -21.0198896922507 \tabularnewline
314 & 292.4 & 324.226556358917 & -31.8265563589173 \tabularnewline
315 & 293.3 & 324.576556358917 & -31.2765563589173 \tabularnewline
316 & 300.8 & 326.753223025584 & -25.953223025584 \tabularnewline
317 & 293.7 & 327.733223025584 & -34.033223025584 \tabularnewline
318 & 293.1 & 327.756556358917 & -34.6565563589173 \tabularnewline
319 & 294.4 & 331.439889692251 & -37.0398896922507 \tabularnewline
320 & 292.1 & 333.643223025584 & -41.543223025584 \tabularnewline
321 & 291.9 & 330.189889692251 & -38.2898896922507 \tabularnewline
322 & 282.5 & 327.416556358917 & -44.9165563589173 \tabularnewline
323 & 277.9 & 323.049889692251 & -45.1498896922507 \tabularnewline
324 & 287.5 & 321.023223025584 & -33.523223025584 \tabularnewline
325 & 289.2 & 322.503358361142 & -33.303358361142 \tabularnewline
326 & 285.6 & 325.810025027809 & -40.2100250278086 \tabularnewline
327 & 293.2 & 326.160025027809 & -32.9600250278087 \tabularnewline
328 & 290.8 & 328.336691694475 & -37.5366916944753 \tabularnewline
329 & 283.1 & 329.316691694475 & -46.2166916944753 \tabularnewline
330 & 275 & 329.340025027809 & -54.3400250278087 \tabularnewline
331 & 287.8 & 333.023358361142 & -45.223358361142 \tabularnewline
332 & 287.8 & 335.226691694475 & -47.4266916944753 \tabularnewline
333 & 287.4 & 331.773358361142 & -44.373358361142 \tabularnewline
334 & 284 & 329.000025027809 & -45.0000250278087 \tabularnewline
335 & 277.8 & 324.633358361142 & -46.833358361142 \tabularnewline
336 & 277.6 & 322.606691694475 & -45.0066916944753 \tabularnewline
337 & 304.9 & 324.086827030033 & -19.1868270300334 \tabularnewline
338 & 294 & 327.3934936967 & -33.3934936967 \tabularnewline
339 & 300.9 & 327.7434936967 & -26.8434936967001 \tabularnewline
340 & 324 & 329.920160363367 & -5.9201603633667 \tabularnewline
341 & 332.9 & 330.900160363367 & 1.99983963663327 \tabularnewline
342 & 341.6 & 330.9234936967 & 10.6765063033 \tabularnewline
343 & 333.4 & 334.606827030033 & -1.20682703003341 \tabularnewline
344 & 348.2 & 336.810160363367 & 11.3898396366333 \tabularnewline
345 & 344.7 & 333.356827030033 & 11.3431729699666 \tabularnewline
346 & 344.7 & 330.5834936967 & 14.1165063033 \tabularnewline
347 & 329.3 & 326.216827030033 & 3.08317296996664 \tabularnewline
348 & 323.5 & 324.190160363367 & -0.690160363366705 \tabularnewline
349 & 323.2 & 325.670295698925 & -2.47029569892474 \tabularnewline
350 & 317.4 & 328.976962365591 & -11.5769623655914 \tabularnewline
351 & 330.1 & 329.326962365591 & 0.773037634408624 \tabularnewline
352 & 329.2 & 331.503629032258 & -2.30362903225808 \tabularnewline
353 & 334.9 & 332.483629032258 & 2.41637096774191 \tabularnewline
354 & 315.8 & 332.506962365591 & -16.7069623655914 \tabularnewline
355 & 315.4 & 336.190295698925 & -20.7902956989248 \tabularnewline
356 & 319.6 & 338.393629032258 & -18.793629032258 \tabularnewline
357 & 317.3 & 334.940295698925 & -17.6402956989247 \tabularnewline
358 & 313.8 & 332.166962365591 & -18.3669623655914 \tabularnewline
359 & 315.8 & 327.800295698925 & -12.0002956989247 \tabularnewline
360 & 311.3 & 325.773629032258 & -14.473629032258 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201528&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]255[/C][C]279.749704301075[/C][C]-24.7497043010749[/C][/ROW]
[ROW][C]2[/C][C]280.2[/C][C]283.056370967742[/C][C]-2.85637096774193[/C][/ROW]
[ROW][C]3[/C][C]299.9[/C][C]283.406370967742[/C][C]16.493629032258[/C][/ROW]
[ROW][C]4[/C][C]339.2[/C][C]285.583037634409[/C][C]53.6169623655914[/C][/ROW]
[ROW][C]5[/C][C]374.2[/C][C]286.563037634409[/C][C]87.6369623655914[/C][/ROW]
[ROW][C]6[/C][C]393.5[/C][C]286.586370967742[/C][C]106.913629032258[/C][/ROW]
[ROW][C]7[/C][C]389.2[/C][C]290.269704301075[/C][C]98.9302956989247[/C][/ROW]
[ROW][C]8[/C][C]381.7[/C][C]292.473037634409[/C][C]89.2269623655914[/C][/ROW]
[ROW][C]9[/C][C]375.2[/C][C]289.019704301075[/C][C]86.1802956989247[/C][/ROW]
[ROW][C]10[/C][C]369[/C][C]286.246370967742[/C][C]82.753629032258[/C][/ROW]
[ROW][C]11[/C][C]357.4[/C][C]281.879704301075[/C][C]75.5202956989247[/C][/ROW]
[ROW][C]12[/C][C]352.1[/C][C]279.853037634409[/C][C]72.2469623655914[/C][/ROW]
[ROW][C]13[/C][C]346.5[/C][C]281.333172969967[/C][C]65.1668270300334[/C][/ROW]
[ROW][C]14[/C][C]342.9[/C][C]284.639839636633[/C][C]58.2601603633667[/C][/ROW]
[ROW][C]15[/C][C]340.3[/C][C]284.989839636633[/C][C]55.3101603633667[/C][/ROW]
[ROW][C]16[/C][C]328.3[/C][C]287.1665063033[/C][C]41.1334936967[/C][/ROW]
[ROW][C]17[/C][C]322.9[/C][C]288.1465063033[/C][C]34.7534936967[/C][/ROW]
[ROW][C]18[/C][C]314.3[/C][C]288.169839636633[/C][C]26.1301603633667[/C][/ROW]
[ROW][C]19[/C][C]308.9[/C][C]291.853172969967[/C][C]17.0468270300333[/C][/ROW]
[ROW][C]20[/C][C]294[/C][C]294.0565063033[/C][C]-0.0565063032999752[/C][/ROW]
[ROW][C]21[/C][C]285.6[/C][C]290.603172969967[/C][C]-5.00317296996662[/C][/ROW]
[ROW][C]22[/C][C]281.2[/C][C]287.829839636633[/C][C]-6.62983963663331[/C][/ROW]
[ROW][C]23[/C][C]280.3[/C][C]283.463172969967[/C][C]-3.16317296996662[/C][/ROW]
[ROW][C]24[/C][C]278.8[/C][C]281.4365063033[/C][C]-2.63650630329996[/C][/ROW]
[ROW][C]25[/C][C]274.5[/C][C]282.916641638858[/C][C]-8.416641638858[/C][/ROW]
[ROW][C]26[/C][C]270.4[/C][C]286.223308305525[/C][C]-15.8233083055247[/C][/ROW]
[ROW][C]27[/C][C]263.4[/C][C]286.573308305525[/C][C]-23.1733083055247[/C][/ROW]
[ROW][C]28[/C][C]259.9[/C][C]288.749974972191[/C][C]-28.8499749721914[/C][/ROW]
[ROW][C]29[/C][C]258[/C][C]289.729974972191[/C][C]-31.7299749721913[/C][/ROW]
[ROW][C]30[/C][C]262.7[/C][C]289.753308305525[/C][C]-27.0533083055247[/C][/ROW]
[ROW][C]31[/C][C]284.7[/C][C]293.436641638858[/C][C]-8.73664163885802[/C][/ROW]
[ROW][C]32[/C][C]311.3[/C][C]295.639974972191[/C][C]15.6600250278087[/C][/ROW]
[ROW][C]33[/C][C]322.1[/C][C]292.186641638858[/C][C]29.913358361142[/C][/ROW]
[ROW][C]34[/C][C]327[/C][C]289.413308305525[/C][C]37.5866916944753[/C][/ROW]
[ROW][C]35[/C][C]331.3[/C][C]285.046641638858[/C][C]46.253358361142[/C][/ROW]
[ROW][C]36[/C][C]333.3[/C][C]283.019974972191[/C][C]50.2800250278087[/C][/ROW]
[ROW][C]37[/C][C]321.4[/C][C]284.500110307749[/C][C]36.8998896922506[/C][/ROW]
[ROW][C]38[/C][C]327[/C][C]287.806776974416[/C][C]39.193223025584[/C][/ROW]
[ROW][C]39[/C][C]320[/C][C]288.156776974416[/C][C]31.843223025584[/C][/ROW]
[ROW][C]40[/C][C]314.7[/C][C]290.333443641083[/C][C]24.3665563589173[/C][/ROW]
[ROW][C]41[/C][C]316.7[/C][C]291.313443641083[/C][C]25.3865563589173[/C][/ROW]
[ROW][C]42[/C][C]314.4[/C][C]291.336776974416[/C][C]23.0632230255839[/C][/ROW]
[ROW][C]43[/C][C]321.3[/C][C]295.020110307749[/C][C]26.2798896922506[/C][/ROW]
[ROW][C]44[/C][C]318.2[/C][C]297.223443641083[/C][C]20.9765563589173[/C][/ROW]
[ROW][C]45[/C][C]307.2[/C][C]293.770110307749[/C][C]13.4298896922506[/C][/ROW]
[ROW][C]46[/C][C]301.3[/C][C]290.996776974416[/C][C]10.303223025584[/C][/ROW]
[ROW][C]47[/C][C]287.5[/C][C]286.630110307749[/C][C]0.869889692250644[/C][/ROW]
[ROW][C]48[/C][C]277.7[/C][C]284.603443641083[/C][C]-6.9034436410827[/C][/ROW]
[ROW][C]49[/C][C]274.4[/C][C]286.083578976641[/C][C]-11.6835789766408[/C][/ROW]
[ROW][C]50[/C][C]258.8[/C][C]289.390245643307[/C][C]-30.5902456433074[/C][/ROW]
[ROW][C]51[/C][C]253.3[/C][C]289.740245643307[/C][C]-36.4402456433074[/C][/ROW]
[ROW][C]52[/C][C]251[/C][C]291.916912309974[/C][C]-40.916912309974[/C][/ROW]
[ROW][C]53[/C][C]248.4[/C][C]292.896912309974[/C][C]-44.496912309974[/C][/ROW]
[ROW][C]54[/C][C]249.5[/C][C]292.920245643307[/C][C]-43.4202456433074[/C][/ROW]
[ROW][C]55[/C][C]246.1[/C][C]296.603578976641[/C][C]-50.5035789766407[/C][/ROW]
[ROW][C]56[/C][C]244.5[/C][C]298.806912309974[/C][C]-54.306912309974[/C][/ROW]
[ROW][C]57[/C][C]243.6[/C][C]295.353578976641[/C][C]-51.7535789766407[/C][/ROW]
[ROW][C]58[/C][C]244[/C][C]292.580245643307[/C][C]-48.5802456433074[/C][/ROW]
[ROW][C]59[/C][C]240.8[/C][C]288.213578976641[/C][C]-47.4135789766407[/C][/ROW]
[ROW][C]60[/C][C]249.8[/C][C]286.186912309974[/C][C]-36.386912309974[/C][/ROW]
[ROW][C]61[/C][C]248[/C][C]287.667047645532[/C][C]-39.6670476455321[/C][/ROW]
[ROW][C]62[/C][C]259.4[/C][C]290.973714312199[/C][C]-31.5737143121988[/C][/ROW]
[ROW][C]63[/C][C]260.5[/C][C]291.323714312199[/C][C]-30.8237143121987[/C][/ROW]
[ROW][C]64[/C][C]260.8[/C][C]293.500380978865[/C][C]-32.7003809788654[/C][/ROW]
[ROW][C]65[/C][C]261.3[/C][C]294.480380978865[/C][C]-33.1803809788654[/C][/ROW]
[ROW][C]66[/C][C]259.5[/C][C]294.503714312199[/C][C]-35.0037143121987[/C][/ROW]
[ROW][C]67[/C][C]256.6[/C][C]298.187047645532[/C][C]-41.587047645532[/C][/ROW]
[ROW][C]68[/C][C]257.9[/C][C]300.390380978865[/C][C]-42.4903809788654[/C][/ROW]
[ROW][C]69[/C][C]256.5[/C][C]296.937047645532[/C][C]-40.4370476455321[/C][/ROW]
[ROW][C]70[/C][C]254.2[/C][C]294.163714312199[/C][C]-39.9637143121987[/C][/ROW]
[ROW][C]71[/C][C]253.3[/C][C]289.797047645532[/C][C]-36.4970476455321[/C][/ROW]
[ROW][C]72[/C][C]253.8[/C][C]287.770380978865[/C][C]-33.9703809788654[/C][/ROW]
[ROW][C]73[/C][C]255.5[/C][C]289.250516314423[/C][C]-33.7505163144234[/C][/ROW]
[ROW][C]74[/C][C]257.1[/C][C]292.55718298109[/C][C]-35.4571829810901[/C][/ROW]
[ROW][C]75[/C][C]257.3[/C][C]292.90718298109[/C][C]-35.6071829810901[/C][/ROW]
[ROW][C]76[/C][C]253.2[/C][C]295.083849647757[/C][C]-41.8838496477568[/C][/ROW]
[ROW][C]77[/C][C]252.8[/C][C]296.063849647757[/C][C]-43.2638496477568[/C][/ROW]
[ROW][C]78[/C][C]252[/C][C]296.08718298109[/C][C]-44.0871829810901[/C][/ROW]
[ROW][C]79[/C][C]250.7[/C][C]299.770516314423[/C][C]-49.0705163144234[/C][/ROW]
[ROW][C]80[/C][C]252.2[/C][C]301.973849647757[/C][C]-49.7738496477568[/C][/ROW]
[ROW][C]81[/C][C]250[/C][C]298.520516314423[/C][C]-48.5205163144234[/C][/ROW]
[ROW][C]82[/C][C]251[/C][C]295.74718298109[/C][C]-44.7471829810901[/C][/ROW]
[ROW][C]83[/C][C]253.4[/C][C]291.380516314423[/C][C]-37.9805163144234[/C][/ROW]
[ROW][C]84[/C][C]251.2[/C][C]289.353849647757[/C][C]-38.1538496477568[/C][/ROW]
[ROW][C]85[/C][C]255.6[/C][C]290.833984983315[/C][C]-35.2339849833148[/C][/ROW]
[ROW][C]86[/C][C]261.1[/C][C]294.140651649981[/C][C]-33.0406516499814[/C][/ROW]
[ROW][C]87[/C][C]258.9[/C][C]294.490651649981[/C][C]-35.5906516499815[/C][/ROW]
[ROW][C]88[/C][C]259.9[/C][C]296.667318316648[/C][C]-36.7673183166481[/C][/ROW]
[ROW][C]89[/C][C]261.2[/C][C]297.647318316648[/C][C]-36.4473183166481[/C][/ROW]
[ROW][C]90[/C][C]264.7[/C][C]297.670651649981[/C][C]-32.9706516499815[/C][/ROW]
[ROW][C]91[/C][C]267.1[/C][C]301.353984983315[/C][C]-34.2539849833148[/C][/ROW]
[ROW][C]92[/C][C]266.4[/C][C]303.557318316648[/C][C]-37.1573183166481[/C][/ROW]
[ROW][C]93[/C][C]267.7[/C][C]300.103984983315[/C][C]-32.4039849833148[/C][/ROW]
[ROW][C]94[/C][C]268.6[/C][C]297.330651649981[/C][C]-28.7306516499814[/C][/ROW]
[ROW][C]95[/C][C]267.5[/C][C]292.963984983315[/C][C]-25.4639849833148[/C][/ROW]
[ROW][C]96[/C][C]268.5[/C][C]290.937318316648[/C][C]-22.4373183166481[/C][/ROW]
[ROW][C]97[/C][C]268.5[/C][C]292.417453652206[/C][C]-23.9174536522062[/C][/ROW]
[ROW][C]98[/C][C]270.5[/C][C]295.724120318873[/C][C]-25.2241203188728[/C][/ROW]
[ROW][C]99[/C][C]270.9[/C][C]296.074120318873[/C][C]-25.1741203188728[/C][/ROW]
[ROW][C]100[/C][C]270.1[/C][C]298.250786985539[/C][C]-28.1507869855395[/C][/ROW]
[ROW][C]101[/C][C]269.3[/C][C]299.23078698554[/C][C]-29.9307869855395[/C][/ROW]
[ROW][C]102[/C][C]269.8[/C][C]299.254120318873[/C][C]-29.4541203188728[/C][/ROW]
[ROW][C]103[/C][C]270.1[/C][C]302.937453652206[/C][C]-32.8374536522061[/C][/ROW]
[ROW][C]104[/C][C]264.9[/C][C]305.140786985539[/C][C]-40.2407869855395[/C][/ROW]
[ROW][C]105[/C][C]263.7[/C][C]301.687453652206[/C][C]-37.9874536522062[/C][/ROW]
[ROW][C]106[/C][C]264.8[/C][C]298.914120318873[/C][C]-34.1141203188728[/C][/ROW]
[ROW][C]107[/C][C]263.7[/C][C]294.547453652206[/C][C]-30.8474536522062[/C][/ROW]
[ROW][C]108[/C][C]255.9[/C][C]292.520786985539[/C][C]-36.6207869855395[/C][/ROW]
[ROW][C]109[/C][C]276.2[/C][C]294.000922321098[/C][C]-17.8009223210975[/C][/ROW]
[ROW][C]110[/C][C]360.1[/C][C]297.307588987764[/C][C]62.7924110122358[/C][/ROW]
[ROW][C]111[/C][C]380.5[/C][C]297.657588987764[/C][C]82.8424110122358[/C][/ROW]
[ROW][C]112[/C][C]373.7[/C][C]299.834255654431[/C][C]73.8657443455691[/C][/ROW]
[ROW][C]113[/C][C]369.8[/C][C]300.814255654431[/C][C]68.9857443455692[/C][/ROW]
[ROW][C]114[/C][C]366.6[/C][C]300.837588987764[/C][C]65.7624110122358[/C][/ROW]
[ROW][C]115[/C][C]359.3[/C][C]304.520922321097[/C][C]54.7790776789025[/C][/ROW]
[ROW][C]116[/C][C]345.8[/C][C]306.724255654431[/C][C]39.0757443455692[/C][/ROW]
[ROW][C]117[/C][C]326.2[/C][C]303.270922321098[/C][C]22.9290776789025[/C][/ROW]
[ROW][C]118[/C][C]324.5[/C][C]300.497588987764[/C][C]24.0024110122358[/C][/ROW]
[ROW][C]119[/C][C]328.1[/C][C]296.130922321098[/C][C]31.9690776789025[/C][/ROW]
[ROW][C]120[/C][C]327.5[/C][C]294.104255654431[/C][C]33.3957443455692[/C][/ROW]
[ROW][C]121[/C][C]324.4[/C][C]295.584390989989[/C][C]28.8156090100111[/C][/ROW]
[ROW][C]122[/C][C]316.5[/C][C]298.891057656656[/C][C]17.6089423433445[/C][/ROW]
[ROW][C]123[/C][C]310.9[/C][C]299.241057656656[/C][C]11.6589423433444[/C][/ROW]
[ROW][C]124[/C][C]301.5[/C][C]301.417724323322[/C][C]0.082275676677792[/C][/ROW]
[ROW][C]125[/C][C]291.7[/C][C]302.397724323322[/C][C]-10.6977243233222[/C][/ROW]
[ROW][C]126[/C][C]290.4[/C][C]302.421057656656[/C][C]-12.0210576566556[/C][/ROW]
[ROW][C]127[/C][C]287.4[/C][C]306.104390989989[/C][C]-18.7043909899889[/C][/ROW]
[ROW][C]128[/C][C]277.7[/C][C]308.307724323322[/C][C]-30.6077243233222[/C][/ROW]
[ROW][C]129[/C][C]281.6[/C][C]304.854390989989[/C][C]-23.2543909899889[/C][/ROW]
[ROW][C]130[/C][C]288[/C][C]302.081057656656[/C][C]-14.0810576566555[/C][/ROW]
[ROW][C]131[/C][C]276[/C][C]297.714390989989[/C][C]-21.7143909899889[/C][/ROW]
[ROW][C]132[/C][C]272.9[/C][C]295.687724323322[/C][C]-22.7877243233222[/C][/ROW]
[ROW][C]133[/C][C]283[/C][C]297.16785965888[/C][C]-14.1678596588802[/C][/ROW]
[ROW][C]134[/C][C]283.3[/C][C]300.474526325547[/C][C]-17.1745263255469[/C][/ROW]
[ROW][C]135[/C][C]276.8[/C][C]300.824526325547[/C][C]-24.0245263255469[/C][/ROW]
[ROW][C]136[/C][C]284.5[/C][C]303.001192992214[/C][C]-18.5011929922136[/C][/ROW]
[ROW][C]137[/C][C]282.7[/C][C]303.981192992214[/C][C]-21.2811929922136[/C][/ROW]
[ROW][C]138[/C][C]281.2[/C][C]304.004526325547[/C][C]-22.8045263255469[/C][/ROW]
[ROW][C]139[/C][C]287.4[/C][C]307.68785965888[/C][C]-20.2878596588803[/C][/ROW]
[ROW][C]140[/C][C]283.1[/C][C]309.891192992214[/C][C]-26.7911929922136[/C][/ROW]
[ROW][C]141[/C][C]284[/C][C]306.43785965888[/C][C]-22.4378596588802[/C][/ROW]
[ROW][C]142[/C][C]285.5[/C][C]303.664526325547[/C][C]-18.1645263255469[/C][/ROW]
[ROW][C]143[/C][C]289.2[/C][C]299.29785965888[/C][C]-10.0978596588802[/C][/ROW]
[ROW][C]144[/C][C]292.5[/C][C]297.271192992214[/C][C]-4.77119299221357[/C][/ROW]
[ROW][C]145[/C][C]296.4[/C][C]298.751328327772[/C][C]-2.35132832777163[/C][/ROW]
[ROW][C]146[/C][C]305.2[/C][C]302.057994994438[/C][C]3.14200500556172[/C][/ROW]
[ROW][C]147[/C][C]303.9[/C][C]302.407994994438[/C][C]1.49200500556172[/C][/ROW]
[ROW][C]148[/C][C]311.5[/C][C]304.584661661105[/C][C]6.91533833889507[/C][/ROW]
[ROW][C]149[/C][C]316.3[/C][C]305.564661661105[/C][C]10.7353383388951[/C][/ROW]
[ROW][C]150[/C][C]316.7[/C][C]305.587994994438[/C][C]11.1120050055617[/C][/ROW]
[ROW][C]151[/C][C]322.5[/C][C]309.271328327772[/C][C]13.2286716722284[/C][/ROW]
[ROW][C]152[/C][C]317.1[/C][C]311.474661661105[/C][C]5.6253383388951[/C][/ROW]
[ROW][C]153[/C][C]309.8[/C][C]308.021328327772[/C][C]1.77867167222841[/C][/ROW]
[ROW][C]154[/C][C]303.8[/C][C]305.247994994438[/C][C]-1.44799499443825[/C][/ROW]
[ROW][C]155[/C][C]290.3[/C][C]300.881328327772[/C][C]-10.5813283277716[/C][/ROW]
[ROW][C]156[/C][C]293.7[/C][C]298.854661661105[/C][C]-5.15466166110494[/C][/ROW]
[ROW][C]157[/C][C]291.7[/C][C]300.334796996663[/C][C]-8.63479699666298[/C][/ROW]
[ROW][C]158[/C][C]296.5[/C][C]303.64146366333[/C][C]-7.14146366332962[/C][/ROW]
[ROW][C]159[/C][C]289.1[/C][C]303.99146366333[/C][C]-14.8914636633296[/C][/ROW]
[ROW][C]160[/C][C]288.5[/C][C]306.168130329996[/C][C]-17.6681303299963[/C][/ROW]
[ROW][C]161[/C][C]293.8[/C][C]307.148130329996[/C][C]-13.3481303299963[/C][/ROW]
[ROW][C]162[/C][C]297.7[/C][C]307.17146366333[/C][C]-9.47146366332964[/C][/ROW]
[ROW][C]163[/C][C]305.4[/C][C]310.854796996663[/C][C]-5.45479699666299[/C][/ROW]
[ROW][C]164[/C][C]302.7[/C][C]313.058130329996[/C][C]-10.3581303299963[/C][/ROW]
[ROW][C]165[/C][C]302.5[/C][C]309.604796996663[/C][C]-7.10479699666295[/C][/ROW]
[ROW][C]166[/C][C]303[/C][C]306.83146366333[/C][C]-3.83146366332962[/C][/ROW]
[ROW][C]167[/C][C]294.5[/C][C]302.464796996663[/C][C]-7.96479699666296[/C][/ROW]
[ROW][C]168[/C][C]294.1[/C][C]300.438130329996[/C][C]-6.33813032999627[/C][/ROW]
[ROW][C]169[/C][C]294.5[/C][C]301.918265665554[/C][C]-7.41826566555433[/C][/ROW]
[ROW][C]170[/C][C]297.1[/C][C]305.224932332221[/C][C]-8.12493233222096[/C][/ROW]
[ROW][C]171[/C][C]289.4[/C][C]305.574932332221[/C][C]-16.174932332221[/C][/ROW]
[ROW][C]172[/C][C]292.4[/C][C]307.751598998888[/C][C]-15.3515989988877[/C][/ROW]
[ROW][C]173[/C][C]287.9[/C][C]308.731598998888[/C][C]-20.8315989988877[/C][/ROW]
[ROW][C]174[/C][C]286.6[/C][C]308.754932332221[/C][C]-22.154932332221[/C][/ROW]
[ROW][C]175[/C][C]280.5[/C][C]312.438265665554[/C][C]-31.9382656655543[/C][/ROW]
[ROW][C]176[/C][C]272.4[/C][C]314.641598998888[/C][C]-42.2415989988877[/C][/ROW]
[ROW][C]177[/C][C]269.2[/C][C]311.188265665554[/C][C]-41.9882656655543[/C][/ROW]
[ROW][C]178[/C][C]270.6[/C][C]308.414932332221[/C][C]-37.814932332221[/C][/ROW]
[ROW][C]179[/C][C]267.3[/C][C]304.048265665554[/C][C]-36.7482656655543[/C][/ROW]
[ROW][C]180[/C][C]262.5[/C][C]302.021598998888[/C][C]-39.5215989988877[/C][/ROW]
[ROW][C]181[/C][C]266.8[/C][C]303.501734334446[/C][C]-36.7017343344457[/C][/ROW]
[ROW][C]182[/C][C]268.8[/C][C]306.808401001112[/C][C]-38.0084010011123[/C][/ROW]
[ROW][C]183[/C][C]263.1[/C][C]307.158401001112[/C][C]-44.0584010011123[/C][/ROW]
[ROW][C]184[/C][C]261.2[/C][C]309.335067667779[/C][C]-48.135067667779[/C][/ROW]
[ROW][C]185[/C][C]266[/C][C]310.315067667779[/C][C]-44.315067667779[/C][/ROW]
[ROW][C]186[/C][C]262.5[/C][C]310.338401001112[/C][C]-47.8384010011123[/C][/ROW]
[ROW][C]187[/C][C]265.2[/C][C]314.021734334446[/C][C]-48.8217343344457[/C][/ROW]
[ROW][C]188[/C][C]261.3[/C][C]316.225067667779[/C][C]-54.925067667779[/C][/ROW]
[ROW][C]189[/C][C]253.7[/C][C]312.771734334446[/C][C]-59.0717343344457[/C][/ROW]
[ROW][C]190[/C][C]249.2[/C][C]309.998401001112[/C][C]-60.7984010011124[/C][/ROW]
[ROW][C]191[/C][C]239.1[/C][C]305.631734334446[/C][C]-66.5317343344457[/C][/ROW]
[ROW][C]192[/C][C]236.4[/C][C]303.605067667779[/C][C]-67.205067667779[/C][/ROW]
[ROW][C]193[/C][C]235.2[/C][C]305.085203003337[/C][C]-69.8852030033371[/C][/ROW]
[ROW][C]194[/C][C]245.2[/C][C]308.391869670004[/C][C]-63.1918696700037[/C][/ROW]
[ROW][C]195[/C][C]246.2[/C][C]308.741869670004[/C][C]-62.5418696700037[/C][/ROW]
[ROW][C]196[/C][C]247.7[/C][C]310.91853633667[/C][C]-63.2185363366704[/C][/ROW]
[ROW][C]197[/C][C]251.4[/C][C]311.89853633667[/C][C]-60.4985363366704[/C][/ROW]
[ROW][C]198[/C][C]253.3[/C][C]311.921869670004[/C][C]-58.6218696700037[/C][/ROW]
[ROW][C]199[/C][C]254.8[/C][C]315.605203003337[/C][C]-60.805203003337[/C][/ROW]
[ROW][C]200[/C][C]250[/C][C]317.80853633667[/C][C]-67.8085363366704[/C][/ROW]
[ROW][C]201[/C][C]249.3[/C][C]314.355203003337[/C][C]-65.055203003337[/C][/ROW]
[ROW][C]202[/C][C]241.5[/C][C]311.581869670004[/C][C]-70.0818696700037[/C][/ROW]
[ROW][C]203[/C][C]243.3[/C][C]307.215203003337[/C][C]-63.915203003337[/C][/ROW]
[ROW][C]204[/C][C]248[/C][C]305.18853633667[/C][C]-57.1885363366704[/C][/ROW]
[ROW][C]205[/C][C]253[/C][C]306.668671672228[/C][C]-53.6686716722284[/C][/ROW]
[ROW][C]206[/C][C]252.9[/C][C]309.975338338895[/C][C]-57.0753383388951[/C][/ROW]
[ROW][C]207[/C][C]251.5[/C][C]310.325338338895[/C][C]-58.8253383388951[/C][/ROW]
[ROW][C]208[/C][C]251.6[/C][C]312.502005005562[/C][C]-60.9020050055617[/C][/ROW]
[ROW][C]209[/C][C]253.5[/C][C]313.482005005562[/C][C]-59.9820050055617[/C][/ROW]
[ROW][C]210[/C][C]259.8[/C][C]313.505338338895[/C][C]-53.7053383388951[/C][/ROW]
[ROW][C]211[/C][C]334.1[/C][C]317.188671672228[/C][C]16.9113283277716[/C][/ROW]
[ROW][C]212[/C][C]448[/C][C]319.392005005562[/C][C]128.607994994438[/C][/ROW]
[ROW][C]213[/C][C]445.8[/C][C]315.938671672228[/C][C]129.861328327772[/C][/ROW]
[ROW][C]214[/C][C]445[/C][C]313.165338338895[/C][C]131.834661661105[/C][/ROW]
[ROW][C]215[/C][C]448.2[/C][C]308.798671672228[/C][C]139.401328327772[/C][/ROW]
[ROW][C]216[/C][C]438.2[/C][C]306.772005005562[/C][C]131.427994994438[/C][/ROW]
[ROW][C]217[/C][C]439.8[/C][C]308.25214034112[/C][C]131.54785965888[/C][/ROW]
[ROW][C]218[/C][C]423.4[/C][C]311.558807007786[/C][C]111.841192992214[/C][/ROW]
[ROW][C]219[/C][C]410.8[/C][C]311.908807007786[/C][C]98.8911929922136[/C][/ROW]
[ROW][C]220[/C][C]408.4[/C][C]314.085473674453[/C][C]94.3145263255469[/C][/ROW]
[ROW][C]221[/C][C]406.7[/C][C]315.065473674453[/C][C]91.6345263255469[/C][/ROW]
[ROW][C]222[/C][C]405.9[/C][C]315.088807007786[/C][C]90.8111929922135[/C][/ROW]
[ROW][C]223[/C][C]402.7[/C][C]318.77214034112[/C][C]83.9278596588802[/C][/ROW]
[ROW][C]224[/C][C]405.1[/C][C]320.975473674453[/C][C]84.1245263255469[/C][/ROW]
[ROW][C]225[/C][C]399.6[/C][C]317.52214034112[/C][C]82.0778596588803[/C][/ROW]
[ROW][C]226[/C][C]386.5[/C][C]314.748807007786[/C][C]71.7511929922136[/C][/ROW]
[ROW][C]227[/C][C]381.4[/C][C]310.38214034112[/C][C]71.0178596588802[/C][/ROW]
[ROW][C]228[/C][C]375.2[/C][C]308.355473674453[/C][C]66.8445263255469[/C][/ROW]
[ROW][C]229[/C][C]357.7[/C][C]309.835609010011[/C][C]47.8643909899889[/C][/ROW]
[ROW][C]230[/C][C]359[/C][C]313.142275676678[/C][C]45.8577243233222[/C][/ROW]
[ROW][C]231[/C][C]355[/C][C]313.492275676678[/C][C]41.5077243233222[/C][/ROW]
[ROW][C]232[/C][C]352.7[/C][C]315.668942343344[/C][C]37.0310576566555[/C][/ROW]
[ROW][C]233[/C][C]344.4[/C][C]316.648942343344[/C][C]27.7510576566555[/C][/ROW]
[ROW][C]234[/C][C]343.8[/C][C]316.672275676678[/C][C]27.1277243233222[/C][/ROW]
[ROW][C]235[/C][C]338[/C][C]320.355609010011[/C][C]17.6443909899889[/C][/ROW]
[ROW][C]236[/C][C]339[/C][C]322.558942343344[/C][C]16.4410576566555[/C][/ROW]
[ROW][C]237[/C][C]333.3[/C][C]319.105609010011[/C][C]14.1943909899889[/C][/ROW]
[ROW][C]238[/C][C]334.4[/C][C]316.332275676678[/C][C]18.0677243233222[/C][/ROW]
[ROW][C]239[/C][C]328.3[/C][C]311.965609010011[/C][C]16.3343909899889[/C][/ROW]
[ROW][C]240[/C][C]330.7[/C][C]309.938942343344[/C][C]20.7610576566555[/C][/ROW]
[ROW][C]241[/C][C]330[/C][C]311.419077678903[/C][C]18.5809223210975[/C][/ROW]
[ROW][C]242[/C][C]331.6[/C][C]314.725744345569[/C][C]16.8742556544309[/C][/ROW]
[ROW][C]243[/C][C]351.2[/C][C]315.075744345569[/C][C]36.1242556544308[/C][/ROW]
[ROW][C]244[/C][C]389.4[/C][C]317.252411012236[/C][C]72.1475889877642[/C][/ROW]
[ROW][C]245[/C][C]410.9[/C][C]318.232411012236[/C][C]92.6675889877642[/C][/ROW]
[ROW][C]246[/C][C]442.8[/C][C]318.255744345569[/C][C]124.544255654431[/C][/ROW]
[ROW][C]247[/C][C]462.8[/C][C]321.939077678902[/C][C]140.860922321098[/C][/ROW]
[ROW][C]248[/C][C]466.9[/C][C]324.142411012236[/C][C]142.757588987764[/C][/ROW]
[ROW][C]249[/C][C]461.7[/C][C]320.689077678902[/C][C]141.010922321097[/C][/ROW]
[ROW][C]250[/C][C]439.2[/C][C]317.915744345569[/C][C]121.284255654431[/C][/ROW]
[ROW][C]251[/C][C]430.3[/C][C]313.549077678902[/C][C]116.750922321098[/C][/ROW]
[ROW][C]252[/C][C]416.1[/C][C]311.522411012236[/C][C]104.577588987764[/C][/ROW]
[ROW][C]253[/C][C]402.5[/C][C]313.002546347794[/C][C]89.4974536522061[/C][/ROW]
[ROW][C]254[/C][C]397.3[/C][C]316.309213014461[/C][C]80.9907869855395[/C][/ROW]
[ROW][C]255[/C][C]403.3[/C][C]316.659213014461[/C][C]86.6407869855395[/C][/ROW]
[ROW][C]256[/C][C]395.9[/C][C]318.835879681127[/C][C]77.0641203188728[/C][/ROW]
[ROW][C]257[/C][C]387.8[/C][C]319.815879681127[/C][C]67.9841203188728[/C][/ROW]
[ROW][C]258[/C][C]378.6[/C][C]319.839213014461[/C][C]58.7607869855395[/C][/ROW]
[ROW][C]259[/C][C]377.1[/C][C]323.522546347794[/C][C]53.5774536522062[/C][/ROW]
[ROW][C]260[/C][C]370.4[/C][C]325.725879681127[/C][C]44.6741203188728[/C][/ROW]
[ROW][C]261[/C][C]362[/C][C]322.272546347794[/C][C]39.7274536522062[/C][/ROW]
[ROW][C]262[/C][C]350.3[/C][C]319.499213014461[/C][C]30.8007869855395[/C][/ROW]
[ROW][C]263[/C][C]348.2[/C][C]315.132546347794[/C][C]33.0674536522062[/C][/ROW]
[ROW][C]264[/C][C]344.6[/C][C]313.105879681127[/C][C]31.4941203188728[/C][/ROW]
[ROW][C]265[/C][C]343.5[/C][C]314.586015016685[/C][C]28.9139849833148[/C][/ROW]
[ROW][C]266[/C][C]342.8[/C][C]317.892681683352[/C][C]24.9073183166481[/C][/ROW]
[ROW][C]267[/C][C]347.6[/C][C]318.242681683352[/C][C]29.3573183166481[/C][/ROW]
[ROW][C]268[/C][C]346.6[/C][C]320.419348350019[/C][C]26.1806516499815[/C][/ROW]
[ROW][C]269[/C][C]349.5[/C][C]321.399348350019[/C][C]28.1006516499815[/C][/ROW]
[ROW][C]270[/C][C]342.1[/C][C]321.422681683352[/C][C]20.6773183166481[/C][/ROW]
[ROW][C]271[/C][C]342[/C][C]325.106015016685[/C][C]16.8939849833148[/C][/ROW]
[ROW][C]272[/C][C]342.8[/C][C]327.309348350019[/C][C]15.4906516499815[/C][/ROW]
[ROW][C]273[/C][C]339.3[/C][C]323.856015016685[/C][C]15.4439849833148[/C][/ROW]
[ROW][C]274[/C][C]348.2[/C][C]321.082681683352[/C][C]27.1173183166481[/C][/ROW]
[ROW][C]275[/C][C]333.7[/C][C]316.716015016685[/C][C]16.9839849833148[/C][/ROW]
[ROW][C]276[/C][C]334.7[/C][C]314.689348350019[/C][C]20.0106516499814[/C][/ROW]
[ROW][C]277[/C][C]354[/C][C]316.169483685577[/C][C]37.8305163144234[/C][/ROW]
[ROW][C]278[/C][C]367.7[/C][C]319.476150352243[/C][C]48.2238496477568[/C][/ROW]
[ROW][C]279[/C][C]363.3[/C][C]319.826150352243[/C][C]43.4738496477568[/C][/ROW]
[ROW][C]280[/C][C]358.4[/C][C]322.00281701891[/C][C]36.3971829810901[/C][/ROW]
[ROW][C]281[/C][C]353.1[/C][C]322.98281701891[/C][C]30.1171829810901[/C][/ROW]
[ROW][C]282[/C][C]343.1[/C][C]323.006150352243[/C][C]20.0938496477568[/C][/ROW]
[ROW][C]283[/C][C]344.6[/C][C]326.689483685577[/C][C]17.9105163144235[/C][/ROW]
[ROW][C]284[/C][C]344.4[/C][C]328.89281701891[/C][C]15.5071829810901[/C][/ROW]
[ROW][C]285[/C][C]333.9[/C][C]325.439483685577[/C][C]8.46051631442341[/C][/ROW]
[ROW][C]286[/C][C]331.7[/C][C]322.666150352243[/C][C]9.03384964775676[/C][/ROW]
[ROW][C]287[/C][C]324.3[/C][C]318.299483685577[/C][C]6.00051631442344[/C][/ROW]
[ROW][C]288[/C][C]321.2[/C][C]316.27281701891[/C][C]4.92718298109009[/C][/ROW]
[ROW][C]289[/C][C]322.4[/C][C]317.752952354468[/C][C]4.64704764553204[/C][/ROW]
[ROW][C]290[/C][C]321.7[/C][C]321.059619021135[/C][C]0.640380978865405[/C][/ROW]
[ROW][C]291[/C][C]320.5[/C][C]321.409619021135[/C][C]-0.909619021134578[/C][/ROW]
[ROW][C]292[/C][C]312.8[/C][C]323.586285687801[/C][C]-10.7862856878012[/C][/ROW]
[ROW][C]293[/C][C]309.7[/C][C]324.566285687801[/C][C]-14.8662856878013[/C][/ROW]
[ROW][C]294[/C][C]315.6[/C][C]324.589619021135[/C][C]-8.98961902113457[/C][/ROW]
[ROW][C]295[/C][C]309.7[/C][C]328.272952354468[/C][C]-18.572952354468[/C][/ROW]
[ROW][C]296[/C][C]304.6[/C][C]330.476285687801[/C][C]-25.8762856878012[/C][/ROW]
[ROW][C]297[/C][C]302.5[/C][C]327.022952354468[/C][C]-24.5229523544679[/C][/ROW]
[ROW][C]298[/C][C]301.5[/C][C]324.249619021135[/C][C]-22.7496190211346[/C][/ROW]
[ROW][C]299[/C][C]298.8[/C][C]319.882952354468[/C][C]-21.0829523544679[/C][/ROW]
[ROW][C]300[/C][C]291.3[/C][C]317.856285687801[/C][C]-26.5562856878013[/C][/ROW]
[ROW][C]301[/C][C]293.6[/C][C]319.336421023359[/C][C]-25.7364210233593[/C][/ROW]
[ROW][C]302[/C][C]294.6[/C][C]322.643087690026[/C][C]-28.0430876900259[/C][/ROW]
[ROW][C]303[/C][C]285.9[/C][C]322.993087690026[/C][C]-37.093087690026[/C][/ROW]
[ROW][C]304[/C][C]297.6[/C][C]325.169754356693[/C][C]-27.5697543566926[/C][/ROW]
[ROW][C]305[/C][C]301.1[/C][C]326.149754356693[/C][C]-25.0497543566926[/C][/ROW]
[ROW][C]306[/C][C]293.8[/C][C]326.173087690026[/C][C]-32.3730876900259[/C][/ROW]
[ROW][C]307[/C][C]297.7[/C][C]329.856421023359[/C][C]-32.1564210233593[/C][/ROW]
[ROW][C]308[/C][C]292.9[/C][C]332.059754356693[/C][C]-39.1597543566926[/C][/ROW]
[ROW][C]309[/C][C]292.1[/C][C]328.606421023359[/C][C]-36.5064210233593[/C][/ROW]
[ROW][C]310[/C][C]287.2[/C][C]325.833087690026[/C][C]-38.633087690026[/C][/ROW]
[ROW][C]311[/C][C]288.2[/C][C]321.466421023359[/C][C]-33.2664210233593[/C][/ROW]
[ROW][C]312[/C][C]283.8[/C][C]319.439754356693[/C][C]-35.6397543566926[/C][/ROW]
[ROW][C]313[/C][C]299.9[/C][C]320.919889692251[/C][C]-21.0198896922507[/C][/ROW]
[ROW][C]314[/C][C]292.4[/C][C]324.226556358917[/C][C]-31.8265563589173[/C][/ROW]
[ROW][C]315[/C][C]293.3[/C][C]324.576556358917[/C][C]-31.2765563589173[/C][/ROW]
[ROW][C]316[/C][C]300.8[/C][C]326.753223025584[/C][C]-25.953223025584[/C][/ROW]
[ROW][C]317[/C][C]293.7[/C][C]327.733223025584[/C][C]-34.033223025584[/C][/ROW]
[ROW][C]318[/C][C]293.1[/C][C]327.756556358917[/C][C]-34.6565563589173[/C][/ROW]
[ROW][C]319[/C][C]294.4[/C][C]331.439889692251[/C][C]-37.0398896922507[/C][/ROW]
[ROW][C]320[/C][C]292.1[/C][C]333.643223025584[/C][C]-41.543223025584[/C][/ROW]
[ROW][C]321[/C][C]291.9[/C][C]330.189889692251[/C][C]-38.2898896922507[/C][/ROW]
[ROW][C]322[/C][C]282.5[/C][C]327.416556358917[/C][C]-44.9165563589173[/C][/ROW]
[ROW][C]323[/C][C]277.9[/C][C]323.049889692251[/C][C]-45.1498896922507[/C][/ROW]
[ROW][C]324[/C][C]287.5[/C][C]321.023223025584[/C][C]-33.523223025584[/C][/ROW]
[ROW][C]325[/C][C]289.2[/C][C]322.503358361142[/C][C]-33.303358361142[/C][/ROW]
[ROW][C]326[/C][C]285.6[/C][C]325.810025027809[/C][C]-40.2100250278086[/C][/ROW]
[ROW][C]327[/C][C]293.2[/C][C]326.160025027809[/C][C]-32.9600250278087[/C][/ROW]
[ROW][C]328[/C][C]290.8[/C][C]328.336691694475[/C][C]-37.5366916944753[/C][/ROW]
[ROW][C]329[/C][C]283.1[/C][C]329.316691694475[/C][C]-46.2166916944753[/C][/ROW]
[ROW][C]330[/C][C]275[/C][C]329.340025027809[/C][C]-54.3400250278087[/C][/ROW]
[ROW][C]331[/C][C]287.8[/C][C]333.023358361142[/C][C]-45.223358361142[/C][/ROW]
[ROW][C]332[/C][C]287.8[/C][C]335.226691694475[/C][C]-47.4266916944753[/C][/ROW]
[ROW][C]333[/C][C]287.4[/C][C]331.773358361142[/C][C]-44.373358361142[/C][/ROW]
[ROW][C]334[/C][C]284[/C][C]329.000025027809[/C][C]-45.0000250278087[/C][/ROW]
[ROW][C]335[/C][C]277.8[/C][C]324.633358361142[/C][C]-46.833358361142[/C][/ROW]
[ROW][C]336[/C][C]277.6[/C][C]322.606691694475[/C][C]-45.0066916944753[/C][/ROW]
[ROW][C]337[/C][C]304.9[/C][C]324.086827030033[/C][C]-19.1868270300334[/C][/ROW]
[ROW][C]338[/C][C]294[/C][C]327.3934936967[/C][C]-33.3934936967[/C][/ROW]
[ROW][C]339[/C][C]300.9[/C][C]327.7434936967[/C][C]-26.8434936967001[/C][/ROW]
[ROW][C]340[/C][C]324[/C][C]329.920160363367[/C][C]-5.9201603633667[/C][/ROW]
[ROW][C]341[/C][C]332.9[/C][C]330.900160363367[/C][C]1.99983963663327[/C][/ROW]
[ROW][C]342[/C][C]341.6[/C][C]330.9234936967[/C][C]10.6765063033[/C][/ROW]
[ROW][C]343[/C][C]333.4[/C][C]334.606827030033[/C][C]-1.20682703003341[/C][/ROW]
[ROW][C]344[/C][C]348.2[/C][C]336.810160363367[/C][C]11.3898396366333[/C][/ROW]
[ROW][C]345[/C][C]344.7[/C][C]333.356827030033[/C][C]11.3431729699666[/C][/ROW]
[ROW][C]346[/C][C]344.7[/C][C]330.5834936967[/C][C]14.1165063033[/C][/ROW]
[ROW][C]347[/C][C]329.3[/C][C]326.216827030033[/C][C]3.08317296996664[/C][/ROW]
[ROW][C]348[/C][C]323.5[/C][C]324.190160363367[/C][C]-0.690160363366705[/C][/ROW]
[ROW][C]349[/C][C]323.2[/C][C]325.670295698925[/C][C]-2.47029569892474[/C][/ROW]
[ROW][C]350[/C][C]317.4[/C][C]328.976962365591[/C][C]-11.5769623655914[/C][/ROW]
[ROW][C]351[/C][C]330.1[/C][C]329.326962365591[/C][C]0.773037634408624[/C][/ROW]
[ROW][C]352[/C][C]329.2[/C][C]331.503629032258[/C][C]-2.30362903225808[/C][/ROW]
[ROW][C]353[/C][C]334.9[/C][C]332.483629032258[/C][C]2.41637096774191[/C][/ROW]
[ROW][C]354[/C][C]315.8[/C][C]332.506962365591[/C][C]-16.7069623655914[/C][/ROW]
[ROW][C]355[/C][C]315.4[/C][C]336.190295698925[/C][C]-20.7902956989248[/C][/ROW]
[ROW][C]356[/C][C]319.6[/C][C]338.393629032258[/C][C]-18.793629032258[/C][/ROW]
[ROW][C]357[/C][C]317.3[/C][C]334.940295698925[/C][C]-17.6402956989247[/C][/ROW]
[ROW][C]358[/C][C]313.8[/C][C]332.166962365591[/C][C]-18.3669623655914[/C][/ROW]
[ROW][C]359[/C][C]315.8[/C][C]327.800295698925[/C][C]-12.0002956989247[/C][/ROW]
[ROW][C]360[/C][C]311.3[/C][C]325.773629032258[/C][C]-14.473629032258[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201528&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201528&T=4

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1255279.749704301075-24.7497043010749
2280.2283.056370967742-2.85637096774193
3299.9283.40637096774216.493629032258
4339.2285.58303763440953.6169623655914
5374.2286.56303763440987.6369623655914
6393.5286.586370967742106.913629032258
7389.2290.26970430107598.9302956989247
8381.7292.47303763440989.2269623655914
9375.2289.01970430107586.1802956989247
10369286.24637096774282.753629032258
11357.4281.87970430107575.5202956989247
12352.1279.85303763440972.2469623655914
13346.5281.33317296996765.1668270300334
14342.9284.63983963663358.2601603633667
15340.3284.98983963663355.3101603633667
16328.3287.166506303341.1334936967
17322.9288.146506303334.7534936967
18314.3288.16983963663326.1301603633667
19308.9291.85317296996717.0468270300333
20294294.0565063033-0.0565063032999752
21285.6290.603172969967-5.00317296996662
22281.2287.829839636633-6.62983963663331
23280.3283.463172969967-3.16317296996662
24278.8281.4365063033-2.63650630329996
25274.5282.916641638858-8.416641638858
26270.4286.223308305525-15.8233083055247
27263.4286.573308305525-23.1733083055247
28259.9288.749974972191-28.8499749721914
29258289.729974972191-31.7299749721913
30262.7289.753308305525-27.0533083055247
31284.7293.436641638858-8.73664163885802
32311.3295.63997497219115.6600250278087
33322.1292.18664163885829.913358361142
34327289.41330830552537.5866916944753
35331.3285.04664163885846.253358361142
36333.3283.01997497219150.2800250278087
37321.4284.50011030774936.8998896922506
38327287.80677697441639.193223025584
39320288.15677697441631.843223025584
40314.7290.33344364108324.3665563589173
41316.7291.31344364108325.3865563589173
42314.4291.33677697441623.0632230255839
43321.3295.02011030774926.2798896922506
44318.2297.22344364108320.9765563589173
45307.2293.77011030774913.4298896922506
46301.3290.99677697441610.303223025584
47287.5286.6301103077490.869889692250644
48277.7284.603443641083-6.9034436410827
49274.4286.083578976641-11.6835789766408
50258.8289.390245643307-30.5902456433074
51253.3289.740245643307-36.4402456433074
52251291.916912309974-40.916912309974
53248.4292.896912309974-44.496912309974
54249.5292.920245643307-43.4202456433074
55246.1296.603578976641-50.5035789766407
56244.5298.806912309974-54.306912309974
57243.6295.353578976641-51.7535789766407
58244292.580245643307-48.5802456433074
59240.8288.213578976641-47.4135789766407
60249.8286.186912309974-36.386912309974
61248287.667047645532-39.6670476455321
62259.4290.973714312199-31.5737143121988
63260.5291.323714312199-30.8237143121987
64260.8293.500380978865-32.7003809788654
65261.3294.480380978865-33.1803809788654
66259.5294.503714312199-35.0037143121987
67256.6298.187047645532-41.587047645532
68257.9300.390380978865-42.4903809788654
69256.5296.937047645532-40.4370476455321
70254.2294.163714312199-39.9637143121987
71253.3289.797047645532-36.4970476455321
72253.8287.770380978865-33.9703809788654
73255.5289.250516314423-33.7505163144234
74257.1292.55718298109-35.4571829810901
75257.3292.90718298109-35.6071829810901
76253.2295.083849647757-41.8838496477568
77252.8296.063849647757-43.2638496477568
78252296.08718298109-44.0871829810901
79250.7299.770516314423-49.0705163144234
80252.2301.973849647757-49.7738496477568
81250298.520516314423-48.5205163144234
82251295.74718298109-44.7471829810901
83253.4291.380516314423-37.9805163144234
84251.2289.353849647757-38.1538496477568
85255.6290.833984983315-35.2339849833148
86261.1294.140651649981-33.0406516499814
87258.9294.490651649981-35.5906516499815
88259.9296.667318316648-36.7673183166481
89261.2297.647318316648-36.4473183166481
90264.7297.670651649981-32.9706516499815
91267.1301.353984983315-34.2539849833148
92266.4303.557318316648-37.1573183166481
93267.7300.103984983315-32.4039849833148
94268.6297.330651649981-28.7306516499814
95267.5292.963984983315-25.4639849833148
96268.5290.937318316648-22.4373183166481
97268.5292.417453652206-23.9174536522062
98270.5295.724120318873-25.2241203188728
99270.9296.074120318873-25.1741203188728
100270.1298.250786985539-28.1507869855395
101269.3299.23078698554-29.9307869855395
102269.8299.254120318873-29.4541203188728
103270.1302.937453652206-32.8374536522061
104264.9305.140786985539-40.2407869855395
105263.7301.687453652206-37.9874536522062
106264.8298.914120318873-34.1141203188728
107263.7294.547453652206-30.8474536522062
108255.9292.520786985539-36.6207869855395
109276.2294.000922321098-17.8009223210975
110360.1297.30758898776462.7924110122358
111380.5297.65758898776482.8424110122358
112373.7299.83425565443173.8657443455691
113369.8300.81425565443168.9857443455692
114366.6300.83758898776465.7624110122358
115359.3304.52092232109754.7790776789025
116345.8306.72425565443139.0757443455692
117326.2303.27092232109822.9290776789025
118324.5300.49758898776424.0024110122358
119328.1296.13092232109831.9690776789025
120327.5294.10425565443133.3957443455692
121324.4295.58439098998928.8156090100111
122316.5298.89105765665617.6089423433445
123310.9299.24105765665611.6589423433444
124301.5301.4177243233220.082275676677792
125291.7302.397724323322-10.6977243233222
126290.4302.421057656656-12.0210576566556
127287.4306.104390989989-18.7043909899889
128277.7308.307724323322-30.6077243233222
129281.6304.854390989989-23.2543909899889
130288302.081057656656-14.0810576566555
131276297.714390989989-21.7143909899889
132272.9295.687724323322-22.7877243233222
133283297.16785965888-14.1678596588802
134283.3300.474526325547-17.1745263255469
135276.8300.824526325547-24.0245263255469
136284.5303.001192992214-18.5011929922136
137282.7303.981192992214-21.2811929922136
138281.2304.004526325547-22.8045263255469
139287.4307.68785965888-20.2878596588803
140283.1309.891192992214-26.7911929922136
141284306.43785965888-22.4378596588802
142285.5303.664526325547-18.1645263255469
143289.2299.29785965888-10.0978596588802
144292.5297.271192992214-4.77119299221357
145296.4298.751328327772-2.35132832777163
146305.2302.0579949944383.14200500556172
147303.9302.4079949944381.49200500556172
148311.5304.5846616611056.91533833889507
149316.3305.56466166110510.7353383388951
150316.7305.58799499443811.1120050055617
151322.5309.27132832777213.2286716722284
152317.1311.4746616611055.6253383388951
153309.8308.0213283277721.77867167222841
154303.8305.247994994438-1.44799499443825
155290.3300.881328327772-10.5813283277716
156293.7298.854661661105-5.15466166110494
157291.7300.334796996663-8.63479699666298
158296.5303.64146366333-7.14146366332962
159289.1303.99146366333-14.8914636633296
160288.5306.168130329996-17.6681303299963
161293.8307.148130329996-13.3481303299963
162297.7307.17146366333-9.47146366332964
163305.4310.854796996663-5.45479699666299
164302.7313.058130329996-10.3581303299963
165302.5309.604796996663-7.10479699666295
166303306.83146366333-3.83146366332962
167294.5302.464796996663-7.96479699666296
168294.1300.438130329996-6.33813032999627
169294.5301.918265665554-7.41826566555433
170297.1305.224932332221-8.12493233222096
171289.4305.574932332221-16.174932332221
172292.4307.751598998888-15.3515989988877
173287.9308.731598998888-20.8315989988877
174286.6308.754932332221-22.154932332221
175280.5312.438265665554-31.9382656655543
176272.4314.641598998888-42.2415989988877
177269.2311.188265665554-41.9882656655543
178270.6308.414932332221-37.814932332221
179267.3304.048265665554-36.7482656655543
180262.5302.021598998888-39.5215989988877
181266.8303.501734334446-36.7017343344457
182268.8306.808401001112-38.0084010011123
183263.1307.158401001112-44.0584010011123
184261.2309.335067667779-48.135067667779
185266310.315067667779-44.315067667779
186262.5310.338401001112-47.8384010011123
187265.2314.021734334446-48.8217343344457
188261.3316.225067667779-54.925067667779
189253.7312.771734334446-59.0717343344457
190249.2309.998401001112-60.7984010011124
191239.1305.631734334446-66.5317343344457
192236.4303.605067667779-67.205067667779
193235.2305.085203003337-69.8852030033371
194245.2308.391869670004-63.1918696700037
195246.2308.741869670004-62.5418696700037
196247.7310.91853633667-63.2185363366704
197251.4311.89853633667-60.4985363366704
198253.3311.921869670004-58.6218696700037
199254.8315.605203003337-60.805203003337
200250317.80853633667-67.8085363366704
201249.3314.355203003337-65.055203003337
202241.5311.581869670004-70.0818696700037
203243.3307.215203003337-63.915203003337
204248305.18853633667-57.1885363366704
205253306.668671672228-53.6686716722284
206252.9309.975338338895-57.0753383388951
207251.5310.325338338895-58.8253383388951
208251.6312.502005005562-60.9020050055617
209253.5313.482005005562-59.9820050055617
210259.8313.505338338895-53.7053383388951
211334.1317.18867167222816.9113283277716
212448319.392005005562128.607994994438
213445.8315.938671672228129.861328327772
214445313.165338338895131.834661661105
215448.2308.798671672228139.401328327772
216438.2306.772005005562131.427994994438
217439.8308.25214034112131.54785965888
218423.4311.558807007786111.841192992214
219410.8311.90880700778698.8911929922136
220408.4314.08547367445394.3145263255469
221406.7315.06547367445391.6345263255469
222405.9315.08880700778690.8111929922135
223402.7318.7721403411283.9278596588802
224405.1320.97547367445384.1245263255469
225399.6317.5221403411282.0778596588803
226386.5314.74880700778671.7511929922136
227381.4310.3821403411271.0178596588802
228375.2308.35547367445366.8445263255469
229357.7309.83560901001147.8643909899889
230359313.14227567667845.8577243233222
231355313.49227567667841.5077243233222
232352.7315.66894234334437.0310576566555
233344.4316.64894234334427.7510576566555
234343.8316.67227567667827.1277243233222
235338320.35560901001117.6443909899889
236339322.55894234334416.4410576566555
237333.3319.10560901001114.1943909899889
238334.4316.33227567667818.0677243233222
239328.3311.96560901001116.3343909899889
240330.7309.93894234334420.7610576566555
241330311.41907767890318.5809223210975
242331.6314.72574434556916.8742556544309
243351.2315.07574434556936.1242556544308
244389.4317.25241101223672.1475889877642
245410.9318.23241101223692.6675889877642
246442.8318.255744345569124.544255654431
247462.8321.939077678902140.860922321098
248466.9324.142411012236142.757588987764
249461.7320.689077678902141.010922321097
250439.2317.915744345569121.284255654431
251430.3313.549077678902116.750922321098
252416.1311.522411012236104.577588987764
253402.5313.00254634779489.4974536522061
254397.3316.30921301446180.9907869855395
255403.3316.65921301446186.6407869855395
256395.9318.83587968112777.0641203188728
257387.8319.81587968112767.9841203188728
258378.6319.83921301446158.7607869855395
259377.1323.52254634779453.5774536522062
260370.4325.72587968112744.6741203188728
261362322.27254634779439.7274536522062
262350.3319.49921301446130.8007869855395
263348.2315.13254634779433.0674536522062
264344.6313.10587968112731.4941203188728
265343.5314.58601501668528.9139849833148
266342.8317.89268168335224.9073183166481
267347.6318.24268168335229.3573183166481
268346.6320.41934835001926.1806516499815
269349.5321.39934835001928.1006516499815
270342.1321.42268168335220.6773183166481
271342325.10601501668516.8939849833148
272342.8327.30934835001915.4906516499815
273339.3323.85601501668515.4439849833148
274348.2321.08268168335227.1173183166481
275333.7316.71601501668516.9839849833148
276334.7314.68934835001920.0106516499814
277354316.16948368557737.8305163144234
278367.7319.47615035224348.2238496477568
279363.3319.82615035224343.4738496477568
280358.4322.0028170189136.3971829810901
281353.1322.9828170189130.1171829810901
282343.1323.00615035224320.0938496477568
283344.6326.68948368557717.9105163144235
284344.4328.8928170189115.5071829810901
285333.9325.4394836855778.46051631442341
286331.7322.6661503522439.03384964775676
287324.3318.2994836855776.00051631442344
288321.2316.272817018914.92718298109009
289322.4317.7529523544684.64704764553204
290321.7321.0596190211350.640380978865405
291320.5321.409619021135-0.909619021134578
292312.8323.586285687801-10.7862856878012
293309.7324.566285687801-14.8662856878013
294315.6324.589619021135-8.98961902113457
295309.7328.272952354468-18.572952354468
296304.6330.476285687801-25.8762856878012
297302.5327.022952354468-24.5229523544679
298301.5324.249619021135-22.7496190211346
299298.8319.882952354468-21.0829523544679
300291.3317.856285687801-26.5562856878013
301293.6319.336421023359-25.7364210233593
302294.6322.643087690026-28.0430876900259
303285.9322.993087690026-37.093087690026
304297.6325.169754356693-27.5697543566926
305301.1326.149754356693-25.0497543566926
306293.8326.173087690026-32.3730876900259
307297.7329.856421023359-32.1564210233593
308292.9332.059754356693-39.1597543566926
309292.1328.606421023359-36.5064210233593
310287.2325.833087690026-38.633087690026
311288.2321.466421023359-33.2664210233593
312283.8319.439754356693-35.6397543566926
313299.9320.919889692251-21.0198896922507
314292.4324.226556358917-31.8265563589173
315293.3324.576556358917-31.2765563589173
316300.8326.753223025584-25.953223025584
317293.7327.733223025584-34.033223025584
318293.1327.756556358917-34.6565563589173
319294.4331.439889692251-37.0398896922507
320292.1333.643223025584-41.543223025584
321291.9330.189889692251-38.2898896922507
322282.5327.416556358917-44.9165563589173
323277.9323.049889692251-45.1498896922507
324287.5321.023223025584-33.523223025584
325289.2322.503358361142-33.303358361142
326285.6325.810025027809-40.2100250278086
327293.2326.160025027809-32.9600250278087
328290.8328.336691694475-37.5366916944753
329283.1329.316691694475-46.2166916944753
330275329.340025027809-54.3400250278087
331287.8333.023358361142-45.223358361142
332287.8335.226691694475-47.4266916944753
333287.4331.773358361142-44.373358361142
334284329.000025027809-45.0000250278087
335277.8324.633358361142-46.833358361142
336277.6322.606691694475-45.0066916944753
337304.9324.086827030033-19.1868270300334
338294327.3934936967-33.3934936967
339300.9327.7434936967-26.8434936967001
340324329.920160363367-5.9201603633667
341332.9330.9001603633671.99983963663327
342341.6330.923493696710.6765063033
343333.4334.606827030033-1.20682703003341
344348.2336.81016036336711.3898396366333
345344.7333.35682703003311.3431729699666
346344.7330.583493696714.1165063033
347329.3326.2168270300333.08317296996664
348323.5324.190160363367-0.690160363366705
349323.2325.670295698925-2.47029569892474
350317.4328.976962365591-11.5769623655914
351330.1329.3269623655910.773037634408624
352329.2331.503629032258-2.30362903225808
353334.9332.4836290322582.41637096774191
354315.8332.506962365591-16.7069623655914
355315.4336.190295698925-20.7902956989248
356319.6338.393629032258-18.793629032258
357317.3334.940295698925-17.6402956989247
358313.8332.166962365591-18.3669623655914
359315.8327.800295698925-12.0002956989247
360311.3325.773629032258-14.473629032258







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.2774425322483380.5548850644966760.722557467751662
170.4607027426412770.9214054852825550.539297257358723
180.6190931355541440.7618137288917130.380906864445856
190.6681124332281250.663775133543750.331887566771875
200.6929065503645810.6141868992708370.307093449635419
210.6938571845707770.6122856308584460.306142815429223
220.6736880169461590.6526239661076810.326311983053841
230.624078739435480.7518425211290390.37592126056452
240.5635937341676560.8728125316646890.436406265832344
250.4940889426167010.9881778852334010.505911057383299
260.4118553210188750.823710642037750.588144678981125
270.3356472792168320.6712945584336650.664352720783168
280.2776953627636510.5553907255273020.722304637236349
290.2421756581118040.4843513162236080.757824341888196
300.2062408746384380.4124817492768760.793759125361562
310.1574986365695310.3149972731390630.842501363430469
320.1322858282516110.2645716565032220.867714171748389
330.126464633924620.252929267849240.87353536607538
340.1296002691919690.2592005383839380.870399730808031
350.1428707532997330.2857415065994670.857129246700267
360.1588204693992810.3176409387985610.841179530600719
370.222723251346960.445446502693920.77727674865304
380.2677295041892640.5354590083785290.732270495810736
390.2741293858315960.5482587716631930.725870614168404
400.2519686886483220.5039373772966430.748031311351678
410.2215323723519820.4430647447039630.778467627648018
420.1877456698135990.3754913396271980.812254330186401
430.158883067553020.3177661351060390.84111693244698
440.1308846350613940.2617692701227890.869115364938606
450.104556282737110.209112565474220.89544371726289
460.08226207671053810.1645241534210760.917737923289462
470.06443682391069930.1288736478213990.935563176089301
480.0509861734461270.1019723468922540.949013826553873
490.03860905986887740.07721811973775480.961390940131123
500.02951795482405860.05903590964811710.970482045175941
510.02292875548077790.04585751096155590.977071244519222
520.0183350064252130.0366700128504260.981664993574787
530.01565585056163660.03131170112327310.984344149438363
540.01336500672280730.02673001344561460.986634993277193
550.01223899452109230.02447798904218470.987761005478908
560.01123300671160450.0224660134232090.988766993288395
570.009778613502638240.01955722700527650.990221386497362
580.008102296116281870.01620459223256370.991897703883718
590.006496760435121740.01299352087024350.993503239564878
600.004740670916636160.009481341833272330.995259329083364
610.003434021101406950.00686804220281390.996565978898593
620.002576579363496080.005153158726992150.997423420636504
630.001928289439132370.003856578878264730.998071710560868
640.001398960997402540.002797921994805080.998601039002597
650.0009783207122568660.001956641424513730.999021679287743
660.0006678217867685630.001335643573537130.999332178213231
670.0004518169873808570.0009036339747617140.999548183012619
680.0003037584432574460.0006075168865148920.999696241556743
690.0002022683526961610.0004045367053923220.999797731647304
700.0001334490564980060.0002668981129960130.999866550943502
718.7702812432829e-050.0001754056248656580.999912297187567
725.72652080891853e-050.0001145304161783710.999942734791911
734.54227384638068e-059.08454769276136e-050.999954577261536
743.46756698461777e-056.93513396923553e-050.999965324330154
752.61822557386189e-055.23645114772379e-050.999973817744261
761.8300974023835e-053.660194804767e-050.999981699025976
771.2210385946761e-052.4420771893522e-050.999987789614053
787.96429554667856e-061.59285910933571e-050.999992035704453
795.16074852512423e-061.03214970502485e-050.999994839251475
803.35263921261765e-066.70527842523531e-060.999996647360787
812.1646159981046e-064.3292319962092e-060.999997835384002
821.39720623321614e-062.79441246643227e-060.999998602793767
839.27578353797358e-071.85515670759472e-060.999999072421646
846.03409096408329e-071.20681819281666e-060.999999396590904
855.28032147003518e-071.05606429400704e-060.999999471967853
864.71490416107771e-079.42980832215542e-070.999999528509584
873.95619220894959e-077.91238441789919e-070.999999604380779
883.21380544814413e-076.42761089628826e-070.999999678619455
892.44716672481887e-074.89433344963774e-070.999999755283328
901.87307211263542e-073.74614422527084e-070.999999812692789
911.43663612818973e-072.87327225637947e-070.999999856336387
921.07969597260328e-072.15939194520656e-070.999999892030403
938.45558654228571e-081.69111730845714e-070.999999915444135
946.7767992503873e-081.35535985007746e-070.999999932232007
955.53161926670628e-081.10632385334126e-070.999999944683807
964.58438001779557e-089.16876003559114e-080.9999999541562
975.05054483911482e-081.01010896782296e-070.999999949494552
985.1671625277946e-081.03343250555892e-070.999999948328375
995.19890232134907e-081.03978046426981e-070.999999948010977
1004.82509779565496e-089.65019559130991e-080.999999951749022
1014.01532766320363e-088.03065532640726e-080.999999959846723
1023.19466106825861e-086.38932213651722e-080.999999968053389
1032.48010277680214e-084.96020555360429e-080.999999975198972
1041.82232966863158e-083.64465933726315e-080.999999981776703
1051.33497800537163e-082.66995601074327e-080.99999998665022
1069.88482842269976e-091.97696568453995e-080.999999990115172
1077.37394351638258e-091.47478870327652e-080.999999992626056
1085.09658917917619e-091.01931783583524e-080.999999994903411
1096.0545346895053e-091.21090693790106e-080.999999993945465
1102.94898486878679e-075.89796973757358e-070.999999705101513
1111.5617814253866e-053.12356285077321e-050.999984382185746
1120.0001827508575026860.0003655017150053710.999817249142497
1130.0009332019188497340.001866403837699470.99906679808115
1140.002960550211574530.005921100423149060.997039449788426
1150.006162054939173250.01232410987834650.993837945060827
1160.009047129715197620.01809425943039520.990952870284802
1170.01011153988331980.02022307976663960.98988846011668
1180.01102807061426580.02205614122853150.988971929385734
1190.01269559795471460.02539119590942930.987304402045285
1200.01446699543055640.02893399086111290.985533004569444
1210.01622815975217060.03245631950434110.983771840247829
1220.01532613502274240.03065227004548490.984673864977258
1230.0137084602149530.02741692042990610.986291539785047
1240.01160013072028360.02320026144056730.988399869279716
1250.009444112068890660.01888822413778130.990555887931109
1260.007612215740404570.01522443148080910.992387784259595
1270.006115363717994270.01223072743598850.993884636282006
1280.00498099567800360.009961991356007190.995019004321996
1290.004004839723129370.008009679446258740.995995160276871
1300.003203180418627070.006406360837254130.996796819581373
1310.002532960220815220.005065920441630440.997467039779185
1320.00199470696718940.003989413934378810.998005293032811
1330.001588473545970920.003176947091941840.998411526454029
1340.001232448016097450.00246489603219490.998767551983903
1350.0009565416012885530.001913083202577110.999043458398711
1360.0007382720452498330.001476544090499670.99926172795475
1370.0005677355365876930.001135471073175390.999432264463412
1380.0004348413913956920.0008696827827913840.999565158608604
1390.0003332289569219150.000666457913843830.999666771043078
1400.0002596727138621730.0005193454277243450.999740327286138
1410.0002006443630894530.0004012887261789060.999799355636911
1420.0001531164783065570.0003062329566131140.999846883521693
1430.0001169268088046680.0002338536176093360.999883073191195
1449.01098009500504e-050.0001802196019001010.99990989019905
1457.17779094582892e-050.0001435558189165780.999928222090542
1465.64755206256355e-050.0001129510412512710.999943524479374
1474.36763932898215e-058.73527865796429e-050.99995632360671
1483.51933203044432e-057.03866406088865e-050.999964806679696
1492.90082708949789e-055.80165417899579e-050.999970991729105
1502.36469473598819e-054.72938947197638e-050.99997635305264
1511.99524696688154e-053.99049393376308e-050.999980047530331
1521.6297958513753e-053.2595917027506e-050.999983702041486
1531.2800242000559e-052.56004840011181e-050.999987199757999
1549.64540717759812e-061.92908143551962e-050.999990354592822
1556.97011315684789e-061.39402263136958e-050.999993029886843
1565.04556529555466e-061.00911305911093e-050.999994954434704
1573.6682582113457e-067.33651642269141e-060.999996331741789
1582.588455916223e-065.17691183244601e-060.999997411544084
1591.8134011952327e-063.62680239046541e-060.999998186598805
1601.27605437527993e-062.55210875055986e-060.999998723945625
1618.88466150953828e-071.77693230190766e-060.999999111533849
1626.14150604228326e-071.22830120845665e-060.999999385849396
1634.30658667164229e-078.61317334328459e-070.999999569341333
1643.0705308037082e-076.1410616074164e-070.99999969294692
1652.19134205500924e-074.38268411001848e-070.999999780865795
1661.54978267186799e-073.09956534373599e-070.999999845021733
1671.07221759412437e-072.14443518824873e-070.999999892778241
1687.35284842371274e-081.47056968474255e-070.999999926471516
1695.11368147765328e-081.02273629553066e-070.999999948863185
1703.42321476062581e-086.84642952125162e-080.999999965767852
1712.30609934064593e-084.61219868129187e-080.999999976939007
1721.55561952060474e-083.11123904120949e-080.999999984443805
1731.06472727807968e-082.12945455615937e-080.999999989352727
1747.3063862856851e-091.46127725713702e-080.999999992693614
1755.44945737993619e-091.08989147598724e-080.999999994550543
1764.68175247058673e-099.36350494117346e-090.999999995318248
1774.04416149458327e-098.08832298916654e-090.999999995955839
1783.31498777642156e-096.62997555284312e-090.999999996685012
1792.69870169772079e-095.39740339544158e-090.999999997301298
1802.29449857696758e-094.58899715393515e-090.999999997705501
1811.89719461090748e-093.79438922181496e-090.999999998102805
1821.57615884238168e-093.15231768476336e-090.999999998423841
1831.45843416886875e-092.91686833773751e-090.999999998541566
1841.4787556741331e-092.9575113482662e-090.999999998521244
1851.4193287306207e-092.83865746124139e-090.999999998580671
1861.47262368732866e-092.94524737465732e-090.999999998527376
1871.60766429609639e-093.21532859219277e-090.999999998392336
1882.12424302014848e-094.24848604029695e-090.999999997875757
1893.19356298969809e-096.38712597939618e-090.999999996806437
1905.12784747440683e-091.02556949488137e-080.999999994872153
1919.99454076148539e-091.99890815229708e-080.999999990005459
1922.06056606501829e-084.12113213003657e-080.999999979394339
1934.71654027394548e-089.43308054789096e-080.999999952834597
1948.84546694632169e-081.76909338926434e-070.999999911545331
1951.72516473311778e-073.45032946623555e-070.999999827483527
1963.65562687459268e-077.31125374918536e-070.999999634437313
1977.51482276206305e-071.50296455241261e-060.999999248517724
1981.53353007290866e-063.06706014581732e-060.999998466469927
1993.63768195652381e-067.27536391304763e-060.999996362318043
2001.2399007839935e-052.479801567987e-050.99998760099216
2014.15295763060768e-058.30591526121535e-050.999958470423694
2020.0001638409307412110.0003276818614824220.999836159069259
2030.0005655009311484180.001131001862296840.999434499068852
2040.001681337337199740.003362674674399480.9983186626628
2050.004690817947968650.00938163589593730.995309182052031
2060.01281718160484240.02563436320968470.987182818395158
2070.03693070563175010.07386141126350020.96306929436825
2080.1075015357147190.2150030714294380.892498464285281
2090.2676630678590380.5353261357180760.732336932140962
2100.5087243422002450.982551315599510.491275657799755
2110.5928099056697390.8143801886605220.407190094330261
2120.8391862349062910.3216275301874190.160813765093709
2130.9509814422168290.09803711556634150.0490185577831708
2140.9878797047449520.02424059051009550.0121202952550477
2150.9979240068824490.004151986235101950.00207599311755097
2160.9995842952669730.0008314094660543980.000415704733027199
2170.9999266782778820.0001466434442369147.3321722118457e-05
2180.9999755007519714.89984960576908e-052.44992480288454e-05
2190.9999877509568032.44980863938928e-051.22490431969464e-05
2200.99999290910031.41817993992452e-057.0908996996226e-06
2210.9999954806877139.03862457360259e-064.5193122868013e-06
2220.999996964722396.07055522096501e-063.03527761048251e-06
2230.999997597627294.8047454204711e-062.40237271023555e-06
2240.9999980549876953.89002460943625e-061.94501230471813e-06
2250.9999983283078173.34338436650976e-061.67169218325488e-06
2260.9999982880208633.42395827417622e-061.71197913708811e-06
2270.9999981994496143.60110077275288e-061.80055038637644e-06
2280.9999979853759394.02924812183033e-062.01462406091516e-06
2290.9999975081977724.98360445596755e-062.49180222798377e-06
2300.9999967879610216.4240779578093e-063.21203897890465e-06
2310.9999959846662728.03066745627047e-064.01533372813523e-06
2320.9999952423415629.51531687523534e-064.75765843761767e-06
2330.9999947874469351.04251061303383e-055.21255306516916e-06
2340.9999942538249811.14923500381729e-055.74617501908644e-06
2350.9999943271584181.13456831631518e-055.67284158157592e-06
2360.9999944494312371.11011375251811e-055.55056876259055e-06
2370.9999948712713751.02574572496792e-055.1287286248396e-06
2380.9999948779123561.02441752882357e-055.12208764411785e-06
2390.9999950032176799.99356464172984e-064.99678232086492e-06
2400.9999947885649771.04228700455023e-055.21143502275115e-06
2410.9999948831160151.0233767969551e-055.1168839847755e-06
2420.9999947072706481.05854587046421e-055.29272935232105e-06
2430.9999935187270561.29625458884471e-056.48127294422356e-06
2440.9999924529190461.50941619079213e-057.54708095396063e-06
2450.9999935928431021.28143137957487e-056.40715689787436e-06
2460.9999981241581373.75168372675892e-061.87584186337946e-06
2470.9999998093391413.81321717027328e-071.90660858513664e-07
2480.9999999895466962.09066079116133e-081.04533039558066e-08
2490.9999999996362887.27424668085521e-103.63712334042761e-10
2500.9999999999682246.35515134870133e-113.17757567435066e-11
2510.9999999999975854.83051695211473e-122.41525847605737e-12
2520.9999999999996846.31557005416765e-133.15778502708382e-13
2530.9999999999998892.21389917599593e-131.10694958799797e-13
2540.9999999999999568.86462287819055e-144.43231143909527e-14
2550.9999999999999882.36787308615794e-141.18393654307897e-14
2560.9999999999999951.08068569011368e-145.40342845056841e-15
2570.9999999999999967.13175935819845e-153.56587967909923e-15
2580.9999999999999975.69918559846203e-152.84959279923101e-15
2590.9999999999999984.80403601556464e-152.40201800778232e-15
2600.9999999999999975.47629423950299e-152.7381471197515e-15
2610.9999999999999967.4412288434189e-153.72061442170945e-15
2620.9999999999999931.32684785176802e-146.63423925884011e-15
2630.999999999999992.08648020505368e-141.04324010252684e-14
2640.9999999999999833.36705203178285e-141.68352601589142e-14
2650.9999999999999686.43986613672497e-143.21993306836248e-14
2660.9999999999999411.18699461528191e-135.93497307640953e-14
2670.9999999999998992.01550693981393e-131.00775346990696e-13
2680.9999999999998123.75053258026294e-131.87526629013147e-13
2690.9999999999996836.33459988862573e-133.16729994431287e-13
2700.9999999999994361.12735599448598e-125.63677997242991e-13
2710.9999999999989992.00256849262878e-121.00128424631439e-12
2720.9999999999982483.50311955345807e-121.75155977672904e-12
2730.9999999999969456.11034180750858e-123.05517090375429e-12
2740.9999999999963677.26619855514394e-123.63309927757197e-12
2750.9999999999943481.13035548558524e-115.65177742792618e-12
2760.9999999999922471.55056259594273e-117.75281297971366e-12
2770.9999999999942571.14850027296705e-115.74250136483527e-12
2780.99999999999892.20049118799989e-121.10024559399994e-12
2790.9999999999997335.33451868545554e-132.66725934272777e-13
2800.9999999999998942.12129083555969e-131.06064541777985e-13
2810.999999999999951.00886326689526e-135.04431633447631e-14
2820.9999999999999686.35125067005409e-143.17562533502705e-14
2830.9999999999999843.15719234822134e-141.57859617411067e-14
2840.9999999999999931.40422119857058e-147.02110599285292e-15
2850.9999999999999951.00415305260125e-145.02076526300625e-15
2860.9999999999999975.40546042186057e-152.70273021093029e-15
2870.9999999999999983.01567400885731e-151.50783700442865e-15
2880.9999999999999991.45051535392185e-157.25257676960924e-16
2890.9999999999999991.10263829804668e-155.5131914902334e-16
29014.63642156382532e-162.31821078191266e-16
29112.50611777280972e-161.25305888640486e-16
29213.8231412953636e-161.9115706476818e-16
29316.75505770840808e-163.37752885420404e-16
29415.22033592778301e-162.6101679638915e-16
29516.36904739356852e-163.18452369678426e-16
2960.9999999999999991.12468928489738e-155.6234464244869e-16
2970.9999999999999991.97659017421031e-159.88295087105154e-16
2980.9999999999999992.69909589411412e-151.34954794705706e-15
2990.9999999999999992.89799274078393e-151.44899637039197e-15
3000.9999999999999984.34878765490421e-152.17439382745211e-15
3010.9999999999999951.04289821563587e-145.21449107817936e-15
3020.9999999999999921.63338052282164e-148.16690261410822e-15
3030.9999999999999774.4984779216206e-142.2492389608103e-14
3040.9999999999999441.12076389539533e-135.60381947697666e-14
3050.999999999999882.40135271208139e-131.2006763560407e-13
3060.9999999999997295.41972223856788e-132.70986111928394e-13
3070.9999999999994691.06300747351503e-125.31503736757513e-13
3080.999999999998632.73990846126377e-121.36995423063188e-12
3090.9999999999965726.85599310629021e-123.42799655314511e-12
3100.9999999999914571.70862156472888e-118.54310782364439e-12
3110.9999999999839083.21846273047625e-111.60923136523813e-11
3120.9999999999657516.84977713679232e-113.42488856839616e-11
3130.9999999999381831.23633485545527e-106.18167427727635e-11
3140.9999999998923812.15237291683995e-101.07618645841998e-10
3150.9999999997471365.0572727619332e-102.5286363809666e-10
3160.9999999994351941.12961126277882e-095.64805631389412e-10
3170.9999999984568343.0863318527646e-091.5431659263823e-09
3180.9999999963430217.31395761480484e-093.65697880740242e-09
3190.9999999915988481.68023044243858e-088.40115221219292e-09
3200.9999999776099864.47800272593325e-082.23900136296663e-08
3210.9999999426319241.14736152548827e-075.73680762744133e-08
3220.9999998472571033.05485793778668e-071.52742896889334e-07
3230.9999996034544947.93091011221931e-073.96545505610966e-07
3240.9999992140357271.57192854575247e-067.85964272876237e-07
3250.9999979518226534.0963546932373e-062.04817734661865e-06
3260.9999949706227951.00587544109946e-055.0293772054973e-06
3270.9999875758349392.48483301221379e-051.2424165061069e-05
3280.9999709972386655.80055226692208e-052.90027613346104e-05
3290.9999537111666719.25776666581882e-054.62888333290941e-05
3300.9999400348418130.0001199303163732495.99651581866245e-05
3310.9998755138345170.0002489723309650360.000124486165482518
3320.9998165969029010.0003668061941982980.000183403097099149
3330.9997391433930760.000521713213847490.000260856606923745
3340.9997222269773130.0005555460453748980.000277773022687449
3350.9998089716609730.0003820566780542670.000191028339027134
3360.9999313065244680.0001373869510636526.86934755318258e-05
3370.9998804014814530.0002391970370940260.000119598518547013
3380.9998825755360130.0002348489279746240.000117424463987312
3390.9999829271337793.41457324428122e-051.70728662214061e-05
3400.9999818664865713.62670268582875e-051.81335134291438e-05
3410.9999919988489911.60023020184941e-058.00115100924703e-06
3420.9999314671313220.0001370657373566616.85328686783306e-05
3430.9994502958967940.001099408206412770.000549704103206387
3440.9964028202700790.007194359459842390.00359717972992119

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
16 & 0.277442532248338 & 0.554885064496676 & 0.722557467751662 \tabularnewline
17 & 0.460702742641277 & 0.921405485282555 & 0.539297257358723 \tabularnewline
18 & 0.619093135554144 & 0.761813728891713 & 0.380906864445856 \tabularnewline
19 & 0.668112433228125 & 0.66377513354375 & 0.331887566771875 \tabularnewline
20 & 0.692906550364581 & 0.614186899270837 & 0.307093449635419 \tabularnewline
21 & 0.693857184570777 & 0.612285630858446 & 0.306142815429223 \tabularnewline
22 & 0.673688016946159 & 0.652623966107681 & 0.326311983053841 \tabularnewline
23 & 0.62407873943548 & 0.751842521129039 & 0.37592126056452 \tabularnewline
24 & 0.563593734167656 & 0.872812531664689 & 0.436406265832344 \tabularnewline
25 & 0.494088942616701 & 0.988177885233401 & 0.505911057383299 \tabularnewline
26 & 0.411855321018875 & 0.82371064203775 & 0.588144678981125 \tabularnewline
27 & 0.335647279216832 & 0.671294558433665 & 0.664352720783168 \tabularnewline
28 & 0.277695362763651 & 0.555390725527302 & 0.722304637236349 \tabularnewline
29 & 0.242175658111804 & 0.484351316223608 & 0.757824341888196 \tabularnewline
30 & 0.206240874638438 & 0.412481749276876 & 0.793759125361562 \tabularnewline
31 & 0.157498636569531 & 0.314997273139063 & 0.842501363430469 \tabularnewline
32 & 0.132285828251611 & 0.264571656503222 & 0.867714171748389 \tabularnewline
33 & 0.12646463392462 & 0.25292926784924 & 0.87353536607538 \tabularnewline
34 & 0.129600269191969 & 0.259200538383938 & 0.870399730808031 \tabularnewline
35 & 0.142870753299733 & 0.285741506599467 & 0.857129246700267 \tabularnewline
36 & 0.158820469399281 & 0.317640938798561 & 0.841179530600719 \tabularnewline
37 & 0.22272325134696 & 0.44544650269392 & 0.77727674865304 \tabularnewline
38 & 0.267729504189264 & 0.535459008378529 & 0.732270495810736 \tabularnewline
39 & 0.274129385831596 & 0.548258771663193 & 0.725870614168404 \tabularnewline
40 & 0.251968688648322 & 0.503937377296643 & 0.748031311351678 \tabularnewline
41 & 0.221532372351982 & 0.443064744703963 & 0.778467627648018 \tabularnewline
42 & 0.187745669813599 & 0.375491339627198 & 0.812254330186401 \tabularnewline
43 & 0.15888306755302 & 0.317766135106039 & 0.84111693244698 \tabularnewline
44 & 0.130884635061394 & 0.261769270122789 & 0.869115364938606 \tabularnewline
45 & 0.10455628273711 & 0.20911256547422 & 0.89544371726289 \tabularnewline
46 & 0.0822620767105381 & 0.164524153421076 & 0.917737923289462 \tabularnewline
47 & 0.0644368239106993 & 0.128873647821399 & 0.935563176089301 \tabularnewline
48 & 0.050986173446127 & 0.101972346892254 & 0.949013826553873 \tabularnewline
49 & 0.0386090598688774 & 0.0772181197377548 & 0.961390940131123 \tabularnewline
50 & 0.0295179548240586 & 0.0590359096481171 & 0.970482045175941 \tabularnewline
51 & 0.0229287554807779 & 0.0458575109615559 & 0.977071244519222 \tabularnewline
52 & 0.018335006425213 & 0.036670012850426 & 0.981664993574787 \tabularnewline
53 & 0.0156558505616366 & 0.0313117011232731 & 0.984344149438363 \tabularnewline
54 & 0.0133650067228073 & 0.0267300134456146 & 0.986634993277193 \tabularnewline
55 & 0.0122389945210923 & 0.0244779890421847 & 0.987761005478908 \tabularnewline
56 & 0.0112330067116045 & 0.022466013423209 & 0.988766993288395 \tabularnewline
57 & 0.00977861350263824 & 0.0195572270052765 & 0.990221386497362 \tabularnewline
58 & 0.00810229611628187 & 0.0162045922325637 & 0.991897703883718 \tabularnewline
59 & 0.00649676043512174 & 0.0129935208702435 & 0.993503239564878 \tabularnewline
60 & 0.00474067091663616 & 0.00948134183327233 & 0.995259329083364 \tabularnewline
61 & 0.00343402110140695 & 0.0068680422028139 & 0.996565978898593 \tabularnewline
62 & 0.00257657936349608 & 0.00515315872699215 & 0.997423420636504 \tabularnewline
63 & 0.00192828943913237 & 0.00385657887826473 & 0.998071710560868 \tabularnewline
64 & 0.00139896099740254 & 0.00279792199480508 & 0.998601039002597 \tabularnewline
65 & 0.000978320712256866 & 0.00195664142451373 & 0.999021679287743 \tabularnewline
66 & 0.000667821786768563 & 0.00133564357353713 & 0.999332178213231 \tabularnewline
67 & 0.000451816987380857 & 0.000903633974761714 & 0.999548183012619 \tabularnewline
68 & 0.000303758443257446 & 0.000607516886514892 & 0.999696241556743 \tabularnewline
69 & 0.000202268352696161 & 0.000404536705392322 & 0.999797731647304 \tabularnewline
70 & 0.000133449056498006 & 0.000266898112996013 & 0.999866550943502 \tabularnewline
71 & 8.7702812432829e-05 & 0.000175405624865658 & 0.999912297187567 \tabularnewline
72 & 5.72652080891853e-05 & 0.000114530416178371 & 0.999942734791911 \tabularnewline
73 & 4.54227384638068e-05 & 9.08454769276136e-05 & 0.999954577261536 \tabularnewline
74 & 3.46756698461777e-05 & 6.93513396923553e-05 & 0.999965324330154 \tabularnewline
75 & 2.61822557386189e-05 & 5.23645114772379e-05 & 0.999973817744261 \tabularnewline
76 & 1.8300974023835e-05 & 3.660194804767e-05 & 0.999981699025976 \tabularnewline
77 & 1.2210385946761e-05 & 2.4420771893522e-05 & 0.999987789614053 \tabularnewline
78 & 7.96429554667856e-06 & 1.59285910933571e-05 & 0.999992035704453 \tabularnewline
79 & 5.16074852512423e-06 & 1.03214970502485e-05 & 0.999994839251475 \tabularnewline
80 & 3.35263921261765e-06 & 6.70527842523531e-06 & 0.999996647360787 \tabularnewline
81 & 2.1646159981046e-06 & 4.3292319962092e-06 & 0.999997835384002 \tabularnewline
82 & 1.39720623321614e-06 & 2.79441246643227e-06 & 0.999998602793767 \tabularnewline
83 & 9.27578353797358e-07 & 1.85515670759472e-06 & 0.999999072421646 \tabularnewline
84 & 6.03409096408329e-07 & 1.20681819281666e-06 & 0.999999396590904 \tabularnewline
85 & 5.28032147003518e-07 & 1.05606429400704e-06 & 0.999999471967853 \tabularnewline
86 & 4.71490416107771e-07 & 9.42980832215542e-07 & 0.999999528509584 \tabularnewline
87 & 3.95619220894959e-07 & 7.91238441789919e-07 & 0.999999604380779 \tabularnewline
88 & 3.21380544814413e-07 & 6.42761089628826e-07 & 0.999999678619455 \tabularnewline
89 & 2.44716672481887e-07 & 4.89433344963774e-07 & 0.999999755283328 \tabularnewline
90 & 1.87307211263542e-07 & 3.74614422527084e-07 & 0.999999812692789 \tabularnewline
91 & 1.43663612818973e-07 & 2.87327225637947e-07 & 0.999999856336387 \tabularnewline
92 & 1.07969597260328e-07 & 2.15939194520656e-07 & 0.999999892030403 \tabularnewline
93 & 8.45558654228571e-08 & 1.69111730845714e-07 & 0.999999915444135 \tabularnewline
94 & 6.7767992503873e-08 & 1.35535985007746e-07 & 0.999999932232007 \tabularnewline
95 & 5.53161926670628e-08 & 1.10632385334126e-07 & 0.999999944683807 \tabularnewline
96 & 4.58438001779557e-08 & 9.16876003559114e-08 & 0.9999999541562 \tabularnewline
97 & 5.05054483911482e-08 & 1.01010896782296e-07 & 0.999999949494552 \tabularnewline
98 & 5.1671625277946e-08 & 1.03343250555892e-07 & 0.999999948328375 \tabularnewline
99 & 5.19890232134907e-08 & 1.03978046426981e-07 & 0.999999948010977 \tabularnewline
100 & 4.82509779565496e-08 & 9.65019559130991e-08 & 0.999999951749022 \tabularnewline
101 & 4.01532766320363e-08 & 8.03065532640726e-08 & 0.999999959846723 \tabularnewline
102 & 3.19466106825861e-08 & 6.38932213651722e-08 & 0.999999968053389 \tabularnewline
103 & 2.48010277680214e-08 & 4.96020555360429e-08 & 0.999999975198972 \tabularnewline
104 & 1.82232966863158e-08 & 3.64465933726315e-08 & 0.999999981776703 \tabularnewline
105 & 1.33497800537163e-08 & 2.66995601074327e-08 & 0.99999998665022 \tabularnewline
106 & 9.88482842269976e-09 & 1.97696568453995e-08 & 0.999999990115172 \tabularnewline
107 & 7.37394351638258e-09 & 1.47478870327652e-08 & 0.999999992626056 \tabularnewline
108 & 5.09658917917619e-09 & 1.01931783583524e-08 & 0.999999994903411 \tabularnewline
109 & 6.0545346895053e-09 & 1.21090693790106e-08 & 0.999999993945465 \tabularnewline
110 & 2.94898486878679e-07 & 5.89796973757358e-07 & 0.999999705101513 \tabularnewline
111 & 1.5617814253866e-05 & 3.12356285077321e-05 & 0.999984382185746 \tabularnewline
112 & 0.000182750857502686 & 0.000365501715005371 & 0.999817249142497 \tabularnewline
113 & 0.000933201918849734 & 0.00186640383769947 & 0.99906679808115 \tabularnewline
114 & 0.00296055021157453 & 0.00592110042314906 & 0.997039449788426 \tabularnewline
115 & 0.00616205493917325 & 0.0123241098783465 & 0.993837945060827 \tabularnewline
116 & 0.00904712971519762 & 0.0180942594303952 & 0.990952870284802 \tabularnewline
117 & 0.0101115398833198 & 0.0202230797666396 & 0.98988846011668 \tabularnewline
118 & 0.0110280706142658 & 0.0220561412285315 & 0.988971929385734 \tabularnewline
119 & 0.0126955979547146 & 0.0253911959094293 & 0.987304402045285 \tabularnewline
120 & 0.0144669954305564 & 0.0289339908611129 & 0.985533004569444 \tabularnewline
121 & 0.0162281597521706 & 0.0324563195043411 & 0.983771840247829 \tabularnewline
122 & 0.0153261350227424 & 0.0306522700454849 & 0.984673864977258 \tabularnewline
123 & 0.013708460214953 & 0.0274169204299061 & 0.986291539785047 \tabularnewline
124 & 0.0116001307202836 & 0.0232002614405673 & 0.988399869279716 \tabularnewline
125 & 0.00944411206889066 & 0.0188882241377813 & 0.990555887931109 \tabularnewline
126 & 0.00761221574040457 & 0.0152244314808091 & 0.992387784259595 \tabularnewline
127 & 0.00611536371799427 & 0.0122307274359885 & 0.993884636282006 \tabularnewline
128 & 0.0049809956780036 & 0.00996199135600719 & 0.995019004321996 \tabularnewline
129 & 0.00400483972312937 & 0.00800967944625874 & 0.995995160276871 \tabularnewline
130 & 0.00320318041862707 & 0.00640636083725413 & 0.996796819581373 \tabularnewline
131 & 0.00253296022081522 & 0.00506592044163044 & 0.997467039779185 \tabularnewline
132 & 0.0019947069671894 & 0.00398941393437881 & 0.998005293032811 \tabularnewline
133 & 0.00158847354597092 & 0.00317694709194184 & 0.998411526454029 \tabularnewline
134 & 0.00123244801609745 & 0.0024648960321949 & 0.998767551983903 \tabularnewline
135 & 0.000956541601288553 & 0.00191308320257711 & 0.999043458398711 \tabularnewline
136 & 0.000738272045249833 & 0.00147654409049967 & 0.99926172795475 \tabularnewline
137 & 0.000567735536587693 & 0.00113547107317539 & 0.999432264463412 \tabularnewline
138 & 0.000434841391395692 & 0.000869682782791384 & 0.999565158608604 \tabularnewline
139 & 0.000333228956921915 & 0.00066645791384383 & 0.999666771043078 \tabularnewline
140 & 0.000259672713862173 & 0.000519345427724345 & 0.999740327286138 \tabularnewline
141 & 0.000200644363089453 & 0.000401288726178906 & 0.999799355636911 \tabularnewline
142 & 0.000153116478306557 & 0.000306232956613114 & 0.999846883521693 \tabularnewline
143 & 0.000116926808804668 & 0.000233853617609336 & 0.999883073191195 \tabularnewline
144 & 9.01098009500504e-05 & 0.000180219601900101 & 0.99990989019905 \tabularnewline
145 & 7.17779094582892e-05 & 0.000143555818916578 & 0.999928222090542 \tabularnewline
146 & 5.64755206256355e-05 & 0.000112951041251271 & 0.999943524479374 \tabularnewline
147 & 4.36763932898215e-05 & 8.73527865796429e-05 & 0.99995632360671 \tabularnewline
148 & 3.51933203044432e-05 & 7.03866406088865e-05 & 0.999964806679696 \tabularnewline
149 & 2.90082708949789e-05 & 5.80165417899579e-05 & 0.999970991729105 \tabularnewline
150 & 2.36469473598819e-05 & 4.72938947197638e-05 & 0.99997635305264 \tabularnewline
151 & 1.99524696688154e-05 & 3.99049393376308e-05 & 0.999980047530331 \tabularnewline
152 & 1.6297958513753e-05 & 3.2595917027506e-05 & 0.999983702041486 \tabularnewline
153 & 1.2800242000559e-05 & 2.56004840011181e-05 & 0.999987199757999 \tabularnewline
154 & 9.64540717759812e-06 & 1.92908143551962e-05 & 0.999990354592822 \tabularnewline
155 & 6.97011315684789e-06 & 1.39402263136958e-05 & 0.999993029886843 \tabularnewline
156 & 5.04556529555466e-06 & 1.00911305911093e-05 & 0.999994954434704 \tabularnewline
157 & 3.6682582113457e-06 & 7.33651642269141e-06 & 0.999996331741789 \tabularnewline
158 & 2.588455916223e-06 & 5.17691183244601e-06 & 0.999997411544084 \tabularnewline
159 & 1.8134011952327e-06 & 3.62680239046541e-06 & 0.999998186598805 \tabularnewline
160 & 1.27605437527993e-06 & 2.55210875055986e-06 & 0.999998723945625 \tabularnewline
161 & 8.88466150953828e-07 & 1.77693230190766e-06 & 0.999999111533849 \tabularnewline
162 & 6.14150604228326e-07 & 1.22830120845665e-06 & 0.999999385849396 \tabularnewline
163 & 4.30658667164229e-07 & 8.61317334328459e-07 & 0.999999569341333 \tabularnewline
164 & 3.0705308037082e-07 & 6.1410616074164e-07 & 0.99999969294692 \tabularnewline
165 & 2.19134205500924e-07 & 4.38268411001848e-07 & 0.999999780865795 \tabularnewline
166 & 1.54978267186799e-07 & 3.09956534373599e-07 & 0.999999845021733 \tabularnewline
167 & 1.07221759412437e-07 & 2.14443518824873e-07 & 0.999999892778241 \tabularnewline
168 & 7.35284842371274e-08 & 1.47056968474255e-07 & 0.999999926471516 \tabularnewline
169 & 5.11368147765328e-08 & 1.02273629553066e-07 & 0.999999948863185 \tabularnewline
170 & 3.42321476062581e-08 & 6.84642952125162e-08 & 0.999999965767852 \tabularnewline
171 & 2.30609934064593e-08 & 4.61219868129187e-08 & 0.999999976939007 \tabularnewline
172 & 1.55561952060474e-08 & 3.11123904120949e-08 & 0.999999984443805 \tabularnewline
173 & 1.06472727807968e-08 & 2.12945455615937e-08 & 0.999999989352727 \tabularnewline
174 & 7.3063862856851e-09 & 1.46127725713702e-08 & 0.999999992693614 \tabularnewline
175 & 5.44945737993619e-09 & 1.08989147598724e-08 & 0.999999994550543 \tabularnewline
176 & 4.68175247058673e-09 & 9.36350494117346e-09 & 0.999999995318248 \tabularnewline
177 & 4.04416149458327e-09 & 8.08832298916654e-09 & 0.999999995955839 \tabularnewline
178 & 3.31498777642156e-09 & 6.62997555284312e-09 & 0.999999996685012 \tabularnewline
179 & 2.69870169772079e-09 & 5.39740339544158e-09 & 0.999999997301298 \tabularnewline
180 & 2.29449857696758e-09 & 4.58899715393515e-09 & 0.999999997705501 \tabularnewline
181 & 1.89719461090748e-09 & 3.79438922181496e-09 & 0.999999998102805 \tabularnewline
182 & 1.57615884238168e-09 & 3.15231768476336e-09 & 0.999999998423841 \tabularnewline
183 & 1.45843416886875e-09 & 2.91686833773751e-09 & 0.999999998541566 \tabularnewline
184 & 1.4787556741331e-09 & 2.9575113482662e-09 & 0.999999998521244 \tabularnewline
185 & 1.4193287306207e-09 & 2.83865746124139e-09 & 0.999999998580671 \tabularnewline
186 & 1.47262368732866e-09 & 2.94524737465732e-09 & 0.999999998527376 \tabularnewline
187 & 1.60766429609639e-09 & 3.21532859219277e-09 & 0.999999998392336 \tabularnewline
188 & 2.12424302014848e-09 & 4.24848604029695e-09 & 0.999999997875757 \tabularnewline
189 & 3.19356298969809e-09 & 6.38712597939618e-09 & 0.999999996806437 \tabularnewline
190 & 5.12784747440683e-09 & 1.02556949488137e-08 & 0.999999994872153 \tabularnewline
191 & 9.99454076148539e-09 & 1.99890815229708e-08 & 0.999999990005459 \tabularnewline
192 & 2.06056606501829e-08 & 4.12113213003657e-08 & 0.999999979394339 \tabularnewline
193 & 4.71654027394548e-08 & 9.43308054789096e-08 & 0.999999952834597 \tabularnewline
194 & 8.84546694632169e-08 & 1.76909338926434e-07 & 0.999999911545331 \tabularnewline
195 & 1.72516473311778e-07 & 3.45032946623555e-07 & 0.999999827483527 \tabularnewline
196 & 3.65562687459268e-07 & 7.31125374918536e-07 & 0.999999634437313 \tabularnewline
197 & 7.51482276206305e-07 & 1.50296455241261e-06 & 0.999999248517724 \tabularnewline
198 & 1.53353007290866e-06 & 3.06706014581732e-06 & 0.999998466469927 \tabularnewline
199 & 3.63768195652381e-06 & 7.27536391304763e-06 & 0.999996362318043 \tabularnewline
200 & 1.2399007839935e-05 & 2.479801567987e-05 & 0.99998760099216 \tabularnewline
201 & 4.15295763060768e-05 & 8.30591526121535e-05 & 0.999958470423694 \tabularnewline
202 & 0.000163840930741211 & 0.000327681861482422 & 0.999836159069259 \tabularnewline
203 & 0.000565500931148418 & 0.00113100186229684 & 0.999434499068852 \tabularnewline
204 & 0.00168133733719974 & 0.00336267467439948 & 0.9983186626628 \tabularnewline
205 & 0.00469081794796865 & 0.0093816358959373 & 0.995309182052031 \tabularnewline
206 & 0.0128171816048424 & 0.0256343632096847 & 0.987182818395158 \tabularnewline
207 & 0.0369307056317501 & 0.0738614112635002 & 0.96306929436825 \tabularnewline
208 & 0.107501535714719 & 0.215003071429438 & 0.892498464285281 \tabularnewline
209 & 0.267663067859038 & 0.535326135718076 & 0.732336932140962 \tabularnewline
210 & 0.508724342200245 & 0.98255131559951 & 0.491275657799755 \tabularnewline
211 & 0.592809905669739 & 0.814380188660522 & 0.407190094330261 \tabularnewline
212 & 0.839186234906291 & 0.321627530187419 & 0.160813765093709 \tabularnewline
213 & 0.950981442216829 & 0.0980371155663415 & 0.0490185577831708 \tabularnewline
214 & 0.987879704744952 & 0.0242405905100955 & 0.0121202952550477 \tabularnewline
215 & 0.997924006882449 & 0.00415198623510195 & 0.00207599311755097 \tabularnewline
216 & 0.999584295266973 & 0.000831409466054398 & 0.000415704733027199 \tabularnewline
217 & 0.999926678277882 & 0.000146643444236914 & 7.3321722118457e-05 \tabularnewline
218 & 0.999975500751971 & 4.89984960576908e-05 & 2.44992480288454e-05 \tabularnewline
219 & 0.999987750956803 & 2.44980863938928e-05 & 1.22490431969464e-05 \tabularnewline
220 & 0.9999929091003 & 1.41817993992452e-05 & 7.0908996996226e-06 \tabularnewline
221 & 0.999995480687713 & 9.03862457360259e-06 & 4.5193122868013e-06 \tabularnewline
222 & 0.99999696472239 & 6.07055522096501e-06 & 3.03527761048251e-06 \tabularnewline
223 & 0.99999759762729 & 4.8047454204711e-06 & 2.40237271023555e-06 \tabularnewline
224 & 0.999998054987695 & 3.89002460943625e-06 & 1.94501230471813e-06 \tabularnewline
225 & 0.999998328307817 & 3.34338436650976e-06 & 1.67169218325488e-06 \tabularnewline
226 & 0.999998288020863 & 3.42395827417622e-06 & 1.71197913708811e-06 \tabularnewline
227 & 0.999998199449614 & 3.60110077275288e-06 & 1.80055038637644e-06 \tabularnewline
228 & 0.999997985375939 & 4.02924812183033e-06 & 2.01462406091516e-06 \tabularnewline
229 & 0.999997508197772 & 4.98360445596755e-06 & 2.49180222798377e-06 \tabularnewline
230 & 0.999996787961021 & 6.4240779578093e-06 & 3.21203897890465e-06 \tabularnewline
231 & 0.999995984666272 & 8.03066745627047e-06 & 4.01533372813523e-06 \tabularnewline
232 & 0.999995242341562 & 9.51531687523534e-06 & 4.75765843761767e-06 \tabularnewline
233 & 0.999994787446935 & 1.04251061303383e-05 & 5.21255306516916e-06 \tabularnewline
234 & 0.999994253824981 & 1.14923500381729e-05 & 5.74617501908644e-06 \tabularnewline
235 & 0.999994327158418 & 1.13456831631518e-05 & 5.67284158157592e-06 \tabularnewline
236 & 0.999994449431237 & 1.11011375251811e-05 & 5.55056876259055e-06 \tabularnewline
237 & 0.999994871271375 & 1.02574572496792e-05 & 5.1287286248396e-06 \tabularnewline
238 & 0.999994877912356 & 1.02441752882357e-05 & 5.12208764411785e-06 \tabularnewline
239 & 0.999995003217679 & 9.99356464172984e-06 & 4.99678232086492e-06 \tabularnewline
240 & 0.999994788564977 & 1.04228700455023e-05 & 5.21143502275115e-06 \tabularnewline
241 & 0.999994883116015 & 1.0233767969551e-05 & 5.1168839847755e-06 \tabularnewline
242 & 0.999994707270648 & 1.05854587046421e-05 & 5.29272935232105e-06 \tabularnewline
243 & 0.999993518727056 & 1.29625458884471e-05 & 6.48127294422356e-06 \tabularnewline
244 & 0.999992452919046 & 1.50941619079213e-05 & 7.54708095396063e-06 \tabularnewline
245 & 0.999993592843102 & 1.28143137957487e-05 & 6.40715689787436e-06 \tabularnewline
246 & 0.999998124158137 & 3.75168372675892e-06 & 1.87584186337946e-06 \tabularnewline
247 & 0.999999809339141 & 3.81321717027328e-07 & 1.90660858513664e-07 \tabularnewline
248 & 0.999999989546696 & 2.09066079116133e-08 & 1.04533039558066e-08 \tabularnewline
249 & 0.999999999636288 & 7.27424668085521e-10 & 3.63712334042761e-10 \tabularnewline
250 & 0.999999999968224 & 6.35515134870133e-11 & 3.17757567435066e-11 \tabularnewline
251 & 0.999999999997585 & 4.83051695211473e-12 & 2.41525847605737e-12 \tabularnewline
252 & 0.999999999999684 & 6.31557005416765e-13 & 3.15778502708382e-13 \tabularnewline
253 & 0.999999999999889 & 2.21389917599593e-13 & 1.10694958799797e-13 \tabularnewline
254 & 0.999999999999956 & 8.86462287819055e-14 & 4.43231143909527e-14 \tabularnewline
255 & 0.999999999999988 & 2.36787308615794e-14 & 1.18393654307897e-14 \tabularnewline
256 & 0.999999999999995 & 1.08068569011368e-14 & 5.40342845056841e-15 \tabularnewline
257 & 0.999999999999996 & 7.13175935819845e-15 & 3.56587967909923e-15 \tabularnewline
258 & 0.999999999999997 & 5.69918559846203e-15 & 2.84959279923101e-15 \tabularnewline
259 & 0.999999999999998 & 4.80403601556464e-15 & 2.40201800778232e-15 \tabularnewline
260 & 0.999999999999997 & 5.47629423950299e-15 & 2.7381471197515e-15 \tabularnewline
261 & 0.999999999999996 & 7.4412288434189e-15 & 3.72061442170945e-15 \tabularnewline
262 & 0.999999999999993 & 1.32684785176802e-14 & 6.63423925884011e-15 \tabularnewline
263 & 0.99999999999999 & 2.08648020505368e-14 & 1.04324010252684e-14 \tabularnewline
264 & 0.999999999999983 & 3.36705203178285e-14 & 1.68352601589142e-14 \tabularnewline
265 & 0.999999999999968 & 6.43986613672497e-14 & 3.21993306836248e-14 \tabularnewline
266 & 0.999999999999941 & 1.18699461528191e-13 & 5.93497307640953e-14 \tabularnewline
267 & 0.999999999999899 & 2.01550693981393e-13 & 1.00775346990696e-13 \tabularnewline
268 & 0.999999999999812 & 3.75053258026294e-13 & 1.87526629013147e-13 \tabularnewline
269 & 0.999999999999683 & 6.33459988862573e-13 & 3.16729994431287e-13 \tabularnewline
270 & 0.999999999999436 & 1.12735599448598e-12 & 5.63677997242991e-13 \tabularnewline
271 & 0.999999999998999 & 2.00256849262878e-12 & 1.00128424631439e-12 \tabularnewline
272 & 0.999999999998248 & 3.50311955345807e-12 & 1.75155977672904e-12 \tabularnewline
273 & 0.999999999996945 & 6.11034180750858e-12 & 3.05517090375429e-12 \tabularnewline
274 & 0.999999999996367 & 7.26619855514394e-12 & 3.63309927757197e-12 \tabularnewline
275 & 0.999999999994348 & 1.13035548558524e-11 & 5.65177742792618e-12 \tabularnewline
276 & 0.999999999992247 & 1.55056259594273e-11 & 7.75281297971366e-12 \tabularnewline
277 & 0.999999999994257 & 1.14850027296705e-11 & 5.74250136483527e-12 \tabularnewline
278 & 0.9999999999989 & 2.20049118799989e-12 & 1.10024559399994e-12 \tabularnewline
279 & 0.999999999999733 & 5.33451868545554e-13 & 2.66725934272777e-13 \tabularnewline
280 & 0.999999999999894 & 2.12129083555969e-13 & 1.06064541777985e-13 \tabularnewline
281 & 0.99999999999995 & 1.00886326689526e-13 & 5.04431633447631e-14 \tabularnewline
282 & 0.999999999999968 & 6.35125067005409e-14 & 3.17562533502705e-14 \tabularnewline
283 & 0.999999999999984 & 3.15719234822134e-14 & 1.57859617411067e-14 \tabularnewline
284 & 0.999999999999993 & 1.40422119857058e-14 & 7.02110599285292e-15 \tabularnewline
285 & 0.999999999999995 & 1.00415305260125e-14 & 5.02076526300625e-15 \tabularnewline
286 & 0.999999999999997 & 5.40546042186057e-15 & 2.70273021093029e-15 \tabularnewline
287 & 0.999999999999998 & 3.01567400885731e-15 & 1.50783700442865e-15 \tabularnewline
288 & 0.999999999999999 & 1.45051535392185e-15 & 7.25257676960924e-16 \tabularnewline
289 & 0.999999999999999 & 1.10263829804668e-15 & 5.5131914902334e-16 \tabularnewline
290 & 1 & 4.63642156382532e-16 & 2.31821078191266e-16 \tabularnewline
291 & 1 & 2.50611777280972e-16 & 1.25305888640486e-16 \tabularnewline
292 & 1 & 3.8231412953636e-16 & 1.9115706476818e-16 \tabularnewline
293 & 1 & 6.75505770840808e-16 & 3.37752885420404e-16 \tabularnewline
294 & 1 & 5.22033592778301e-16 & 2.6101679638915e-16 \tabularnewline
295 & 1 & 6.36904739356852e-16 & 3.18452369678426e-16 \tabularnewline
296 & 0.999999999999999 & 1.12468928489738e-15 & 5.6234464244869e-16 \tabularnewline
297 & 0.999999999999999 & 1.97659017421031e-15 & 9.88295087105154e-16 \tabularnewline
298 & 0.999999999999999 & 2.69909589411412e-15 & 1.34954794705706e-15 \tabularnewline
299 & 0.999999999999999 & 2.89799274078393e-15 & 1.44899637039197e-15 \tabularnewline
300 & 0.999999999999998 & 4.34878765490421e-15 & 2.17439382745211e-15 \tabularnewline
301 & 0.999999999999995 & 1.04289821563587e-14 & 5.21449107817936e-15 \tabularnewline
302 & 0.999999999999992 & 1.63338052282164e-14 & 8.16690261410822e-15 \tabularnewline
303 & 0.999999999999977 & 4.4984779216206e-14 & 2.2492389608103e-14 \tabularnewline
304 & 0.999999999999944 & 1.12076389539533e-13 & 5.60381947697666e-14 \tabularnewline
305 & 0.99999999999988 & 2.40135271208139e-13 & 1.2006763560407e-13 \tabularnewline
306 & 0.999999999999729 & 5.41972223856788e-13 & 2.70986111928394e-13 \tabularnewline
307 & 0.999999999999469 & 1.06300747351503e-12 & 5.31503736757513e-13 \tabularnewline
308 & 0.99999999999863 & 2.73990846126377e-12 & 1.36995423063188e-12 \tabularnewline
309 & 0.999999999996572 & 6.85599310629021e-12 & 3.42799655314511e-12 \tabularnewline
310 & 0.999999999991457 & 1.70862156472888e-11 & 8.54310782364439e-12 \tabularnewline
311 & 0.999999999983908 & 3.21846273047625e-11 & 1.60923136523813e-11 \tabularnewline
312 & 0.999999999965751 & 6.84977713679232e-11 & 3.42488856839616e-11 \tabularnewline
313 & 0.999999999938183 & 1.23633485545527e-10 & 6.18167427727635e-11 \tabularnewline
314 & 0.999999999892381 & 2.15237291683995e-10 & 1.07618645841998e-10 \tabularnewline
315 & 0.999999999747136 & 5.0572727619332e-10 & 2.5286363809666e-10 \tabularnewline
316 & 0.999999999435194 & 1.12961126277882e-09 & 5.64805631389412e-10 \tabularnewline
317 & 0.999999998456834 & 3.0863318527646e-09 & 1.5431659263823e-09 \tabularnewline
318 & 0.999999996343021 & 7.31395761480484e-09 & 3.65697880740242e-09 \tabularnewline
319 & 0.999999991598848 & 1.68023044243858e-08 & 8.40115221219292e-09 \tabularnewline
320 & 0.999999977609986 & 4.47800272593325e-08 & 2.23900136296663e-08 \tabularnewline
321 & 0.999999942631924 & 1.14736152548827e-07 & 5.73680762744133e-08 \tabularnewline
322 & 0.999999847257103 & 3.05485793778668e-07 & 1.52742896889334e-07 \tabularnewline
323 & 0.999999603454494 & 7.93091011221931e-07 & 3.96545505610966e-07 \tabularnewline
324 & 0.999999214035727 & 1.57192854575247e-06 & 7.85964272876237e-07 \tabularnewline
325 & 0.999997951822653 & 4.0963546932373e-06 & 2.04817734661865e-06 \tabularnewline
326 & 0.999994970622795 & 1.00587544109946e-05 & 5.0293772054973e-06 \tabularnewline
327 & 0.999987575834939 & 2.48483301221379e-05 & 1.2424165061069e-05 \tabularnewline
328 & 0.999970997238665 & 5.80055226692208e-05 & 2.90027613346104e-05 \tabularnewline
329 & 0.999953711166671 & 9.25776666581882e-05 & 4.62888333290941e-05 \tabularnewline
330 & 0.999940034841813 & 0.000119930316373249 & 5.99651581866245e-05 \tabularnewline
331 & 0.999875513834517 & 0.000248972330965036 & 0.000124486165482518 \tabularnewline
332 & 0.999816596902901 & 0.000366806194198298 & 0.000183403097099149 \tabularnewline
333 & 0.999739143393076 & 0.00052171321384749 & 0.000260856606923745 \tabularnewline
334 & 0.999722226977313 & 0.000555546045374898 & 0.000277773022687449 \tabularnewline
335 & 0.999808971660973 & 0.000382056678054267 & 0.000191028339027134 \tabularnewline
336 & 0.999931306524468 & 0.000137386951063652 & 6.86934755318258e-05 \tabularnewline
337 & 0.999880401481453 & 0.000239197037094026 & 0.000119598518547013 \tabularnewline
338 & 0.999882575536013 & 0.000234848927974624 & 0.000117424463987312 \tabularnewline
339 & 0.999982927133779 & 3.41457324428122e-05 & 1.70728662214061e-05 \tabularnewline
340 & 0.999981866486571 & 3.62670268582875e-05 & 1.81335134291438e-05 \tabularnewline
341 & 0.999991998848991 & 1.60023020184941e-05 & 8.00115100924703e-06 \tabularnewline
342 & 0.999931467131322 & 0.000137065737356661 & 6.85328686783306e-05 \tabularnewline
343 & 0.999450295896794 & 0.00109940820641277 & 0.000549704103206387 \tabularnewline
344 & 0.996402820270079 & 0.00719435945984239 & 0.00359717972992119 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201528&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]0.277442532248338[/C][C]0.554885064496676[/C][C]0.722557467751662[/C][/ROW]
[ROW][C]17[/C][C]0.460702742641277[/C][C]0.921405485282555[/C][C]0.539297257358723[/C][/ROW]
[ROW][C]18[/C][C]0.619093135554144[/C][C]0.761813728891713[/C][C]0.380906864445856[/C][/ROW]
[ROW][C]19[/C][C]0.668112433228125[/C][C]0.66377513354375[/C][C]0.331887566771875[/C][/ROW]
[ROW][C]20[/C][C]0.692906550364581[/C][C]0.614186899270837[/C][C]0.307093449635419[/C][/ROW]
[ROW][C]21[/C][C]0.693857184570777[/C][C]0.612285630858446[/C][C]0.306142815429223[/C][/ROW]
[ROW][C]22[/C][C]0.673688016946159[/C][C]0.652623966107681[/C][C]0.326311983053841[/C][/ROW]
[ROW][C]23[/C][C]0.62407873943548[/C][C]0.751842521129039[/C][C]0.37592126056452[/C][/ROW]
[ROW][C]24[/C][C]0.563593734167656[/C][C]0.872812531664689[/C][C]0.436406265832344[/C][/ROW]
[ROW][C]25[/C][C]0.494088942616701[/C][C]0.988177885233401[/C][C]0.505911057383299[/C][/ROW]
[ROW][C]26[/C][C]0.411855321018875[/C][C]0.82371064203775[/C][C]0.588144678981125[/C][/ROW]
[ROW][C]27[/C][C]0.335647279216832[/C][C]0.671294558433665[/C][C]0.664352720783168[/C][/ROW]
[ROW][C]28[/C][C]0.277695362763651[/C][C]0.555390725527302[/C][C]0.722304637236349[/C][/ROW]
[ROW][C]29[/C][C]0.242175658111804[/C][C]0.484351316223608[/C][C]0.757824341888196[/C][/ROW]
[ROW][C]30[/C][C]0.206240874638438[/C][C]0.412481749276876[/C][C]0.793759125361562[/C][/ROW]
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[ROW][C]75[/C][C]2.61822557386189e-05[/C][C]5.23645114772379e-05[/C][C]0.999973817744261[/C][/ROW]
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[ROW][C]77[/C][C]1.2210385946761e-05[/C][C]2.4420771893522e-05[/C][C]0.999987789614053[/C][/ROW]
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[ROW][C]95[/C][C]5.53161926670628e-08[/C][C]1.10632385334126e-07[/C][C]0.999999944683807[/C][/ROW]
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[ROW][C]98[/C][C]5.1671625277946e-08[/C][C]1.03343250555892e-07[/C][C]0.999999948328375[/C][/ROW]
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[ROW][C]100[/C][C]4.82509779565496e-08[/C][C]9.65019559130991e-08[/C][C]0.999999951749022[/C][/ROW]
[ROW][C]101[/C][C]4.01532766320363e-08[/C][C]8.03065532640726e-08[/C][C]0.999999959846723[/C][/ROW]
[ROW][C]102[/C][C]3.19466106825861e-08[/C][C]6.38932213651722e-08[/C][C]0.999999968053389[/C][/ROW]
[ROW][C]103[/C][C]2.48010277680214e-08[/C][C]4.96020555360429e-08[/C][C]0.999999975198972[/C][/ROW]
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[ROW][C]106[/C][C]9.88482842269976e-09[/C][C]1.97696568453995e-08[/C][C]0.999999990115172[/C][/ROW]
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[ROW][C]108[/C][C]5.09658917917619e-09[/C][C]1.01931783583524e-08[/C][C]0.999999994903411[/C][/ROW]
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[ROW][C]111[/C][C]1.5617814253866e-05[/C][C]3.12356285077321e-05[/C][C]0.999984382185746[/C][/ROW]
[ROW][C]112[/C][C]0.000182750857502686[/C][C]0.000365501715005371[/C][C]0.999817249142497[/C][/ROW]
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[ROW][C]154[/C][C]9.64540717759812e-06[/C][C]1.92908143551962e-05[/C][C]0.999990354592822[/C][/ROW]
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[ROW][C]162[/C][C]6.14150604228326e-07[/C][C]1.22830120845665e-06[/C][C]0.999999385849396[/C][/ROW]
[ROW][C]163[/C][C]4.30658667164229e-07[/C][C]8.61317334328459e-07[/C][C]0.999999569341333[/C][/ROW]
[ROW][C]164[/C][C]3.0705308037082e-07[/C][C]6.1410616074164e-07[/C][C]0.99999969294692[/C][/ROW]
[ROW][C]165[/C][C]2.19134205500924e-07[/C][C]4.38268411001848e-07[/C][C]0.999999780865795[/C][/ROW]
[ROW][C]166[/C][C]1.54978267186799e-07[/C][C]3.09956534373599e-07[/C][C]0.999999845021733[/C][/ROW]
[ROW][C]167[/C][C]1.07221759412437e-07[/C][C]2.14443518824873e-07[/C][C]0.999999892778241[/C][/ROW]
[ROW][C]168[/C][C]7.35284842371274e-08[/C][C]1.47056968474255e-07[/C][C]0.999999926471516[/C][/ROW]
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[ROW][C]170[/C][C]3.42321476062581e-08[/C][C]6.84642952125162e-08[/C][C]0.999999965767852[/C][/ROW]
[ROW][C]171[/C][C]2.30609934064593e-08[/C][C]4.61219868129187e-08[/C][C]0.999999976939007[/C][/ROW]
[ROW][C]172[/C][C]1.55561952060474e-08[/C][C]3.11123904120949e-08[/C][C]0.999999984443805[/C][/ROW]
[ROW][C]173[/C][C]1.06472727807968e-08[/C][C]2.12945455615937e-08[/C][C]0.999999989352727[/C][/ROW]
[ROW][C]174[/C][C]7.3063862856851e-09[/C][C]1.46127725713702e-08[/C][C]0.999999992693614[/C][/ROW]
[ROW][C]175[/C][C]5.44945737993619e-09[/C][C]1.08989147598724e-08[/C][C]0.999999994550543[/C][/ROW]
[ROW][C]176[/C][C]4.68175247058673e-09[/C][C]9.36350494117346e-09[/C][C]0.999999995318248[/C][/ROW]
[ROW][C]177[/C][C]4.04416149458327e-09[/C][C]8.08832298916654e-09[/C][C]0.999999995955839[/C][/ROW]
[ROW][C]178[/C][C]3.31498777642156e-09[/C][C]6.62997555284312e-09[/C][C]0.999999996685012[/C][/ROW]
[ROW][C]179[/C][C]2.69870169772079e-09[/C][C]5.39740339544158e-09[/C][C]0.999999997301298[/C][/ROW]
[ROW][C]180[/C][C]2.29449857696758e-09[/C][C]4.58899715393515e-09[/C][C]0.999999997705501[/C][/ROW]
[ROW][C]181[/C][C]1.89719461090748e-09[/C][C]3.79438922181496e-09[/C][C]0.999999998102805[/C][/ROW]
[ROW][C]182[/C][C]1.57615884238168e-09[/C][C]3.15231768476336e-09[/C][C]0.999999998423841[/C][/ROW]
[ROW][C]183[/C][C]1.45843416886875e-09[/C][C]2.91686833773751e-09[/C][C]0.999999998541566[/C][/ROW]
[ROW][C]184[/C][C]1.4787556741331e-09[/C][C]2.9575113482662e-09[/C][C]0.999999998521244[/C][/ROW]
[ROW][C]185[/C][C]1.4193287306207e-09[/C][C]2.83865746124139e-09[/C][C]0.999999998580671[/C][/ROW]
[ROW][C]186[/C][C]1.47262368732866e-09[/C][C]2.94524737465732e-09[/C][C]0.999999998527376[/C][/ROW]
[ROW][C]187[/C][C]1.60766429609639e-09[/C][C]3.21532859219277e-09[/C][C]0.999999998392336[/C][/ROW]
[ROW][C]188[/C][C]2.12424302014848e-09[/C][C]4.24848604029695e-09[/C][C]0.999999997875757[/C][/ROW]
[ROW][C]189[/C][C]3.19356298969809e-09[/C][C]6.38712597939618e-09[/C][C]0.999999996806437[/C][/ROW]
[ROW][C]190[/C][C]5.12784747440683e-09[/C][C]1.02556949488137e-08[/C][C]0.999999994872153[/C][/ROW]
[ROW][C]191[/C][C]9.99454076148539e-09[/C][C]1.99890815229708e-08[/C][C]0.999999990005459[/C][/ROW]
[ROW][C]192[/C][C]2.06056606501829e-08[/C][C]4.12113213003657e-08[/C][C]0.999999979394339[/C][/ROW]
[ROW][C]193[/C][C]4.71654027394548e-08[/C][C]9.43308054789096e-08[/C][C]0.999999952834597[/C][/ROW]
[ROW][C]194[/C][C]8.84546694632169e-08[/C][C]1.76909338926434e-07[/C][C]0.999999911545331[/C][/ROW]
[ROW][C]195[/C][C]1.72516473311778e-07[/C][C]3.45032946623555e-07[/C][C]0.999999827483527[/C][/ROW]
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[ROW][C]217[/C][C]0.999926678277882[/C][C]0.000146643444236914[/C][C]7.3321722118457e-05[/C][/ROW]
[ROW][C]218[/C][C]0.999975500751971[/C][C]4.89984960576908e-05[/C][C]2.44992480288454e-05[/C][/ROW]
[ROW][C]219[/C][C]0.999987750956803[/C][C]2.44980863938928e-05[/C][C]1.22490431969464e-05[/C][/ROW]
[ROW][C]220[/C][C]0.9999929091003[/C][C]1.41817993992452e-05[/C][C]7.0908996996226e-06[/C][/ROW]
[ROW][C]221[/C][C]0.999995480687713[/C][C]9.03862457360259e-06[/C][C]4.5193122868013e-06[/C][/ROW]
[ROW][C]222[/C][C]0.99999696472239[/C][C]6.07055522096501e-06[/C][C]3.03527761048251e-06[/C][/ROW]
[ROW][C]223[/C][C]0.99999759762729[/C][C]4.8047454204711e-06[/C][C]2.40237271023555e-06[/C][/ROW]
[ROW][C]224[/C][C]0.999998054987695[/C][C]3.89002460943625e-06[/C][C]1.94501230471813e-06[/C][/ROW]
[ROW][C]225[/C][C]0.999998328307817[/C][C]3.34338436650976e-06[/C][C]1.67169218325488e-06[/C][/ROW]
[ROW][C]226[/C][C]0.999998288020863[/C][C]3.42395827417622e-06[/C][C]1.71197913708811e-06[/C][/ROW]
[ROW][C]227[/C][C]0.999998199449614[/C][C]3.60110077275288e-06[/C][C]1.80055038637644e-06[/C][/ROW]
[ROW][C]228[/C][C]0.999997985375939[/C][C]4.02924812183033e-06[/C][C]2.01462406091516e-06[/C][/ROW]
[ROW][C]229[/C][C]0.999997508197772[/C][C]4.98360445596755e-06[/C][C]2.49180222798377e-06[/C][/ROW]
[ROW][C]230[/C][C]0.999996787961021[/C][C]6.4240779578093e-06[/C][C]3.21203897890465e-06[/C][/ROW]
[ROW][C]231[/C][C]0.999995984666272[/C][C]8.03066745627047e-06[/C][C]4.01533372813523e-06[/C][/ROW]
[ROW][C]232[/C][C]0.999995242341562[/C][C]9.51531687523534e-06[/C][C]4.75765843761767e-06[/C][/ROW]
[ROW][C]233[/C][C]0.999994787446935[/C][C]1.04251061303383e-05[/C][C]5.21255306516916e-06[/C][/ROW]
[ROW][C]234[/C][C]0.999994253824981[/C][C]1.14923500381729e-05[/C][C]5.74617501908644e-06[/C][/ROW]
[ROW][C]235[/C][C]0.999994327158418[/C][C]1.13456831631518e-05[/C][C]5.67284158157592e-06[/C][/ROW]
[ROW][C]236[/C][C]0.999994449431237[/C][C]1.11011375251811e-05[/C][C]5.55056876259055e-06[/C][/ROW]
[ROW][C]237[/C][C]0.999994871271375[/C][C]1.02574572496792e-05[/C][C]5.1287286248396e-06[/C][/ROW]
[ROW][C]238[/C][C]0.999994877912356[/C][C]1.02441752882357e-05[/C][C]5.12208764411785e-06[/C][/ROW]
[ROW][C]239[/C][C]0.999995003217679[/C][C]9.99356464172984e-06[/C][C]4.99678232086492e-06[/C][/ROW]
[ROW][C]240[/C][C]0.999994788564977[/C][C]1.04228700455023e-05[/C][C]5.21143502275115e-06[/C][/ROW]
[ROW][C]241[/C][C]0.999994883116015[/C][C]1.0233767969551e-05[/C][C]5.1168839847755e-06[/C][/ROW]
[ROW][C]242[/C][C]0.999994707270648[/C][C]1.05854587046421e-05[/C][C]5.29272935232105e-06[/C][/ROW]
[ROW][C]243[/C][C]0.999993518727056[/C][C]1.29625458884471e-05[/C][C]6.48127294422356e-06[/C][/ROW]
[ROW][C]244[/C][C]0.999992452919046[/C][C]1.50941619079213e-05[/C][C]7.54708095396063e-06[/C][/ROW]
[ROW][C]245[/C][C]0.999993592843102[/C][C]1.28143137957487e-05[/C][C]6.40715689787436e-06[/C][/ROW]
[ROW][C]246[/C][C]0.999998124158137[/C][C]3.75168372675892e-06[/C][C]1.87584186337946e-06[/C][/ROW]
[ROW][C]247[/C][C]0.999999809339141[/C][C]3.81321717027328e-07[/C][C]1.90660858513664e-07[/C][/ROW]
[ROW][C]248[/C][C]0.999999989546696[/C][C]2.09066079116133e-08[/C][C]1.04533039558066e-08[/C][/ROW]
[ROW][C]249[/C][C]0.999999999636288[/C][C]7.27424668085521e-10[/C][C]3.63712334042761e-10[/C][/ROW]
[ROW][C]250[/C][C]0.999999999968224[/C][C]6.35515134870133e-11[/C][C]3.17757567435066e-11[/C][/ROW]
[ROW][C]251[/C][C]0.999999999997585[/C][C]4.83051695211473e-12[/C][C]2.41525847605737e-12[/C][/ROW]
[ROW][C]252[/C][C]0.999999999999684[/C][C]6.31557005416765e-13[/C][C]3.15778502708382e-13[/C][/ROW]
[ROW][C]253[/C][C]0.999999999999889[/C][C]2.21389917599593e-13[/C][C]1.10694958799797e-13[/C][/ROW]
[ROW][C]254[/C][C]0.999999999999956[/C][C]8.86462287819055e-14[/C][C]4.43231143909527e-14[/C][/ROW]
[ROW][C]255[/C][C]0.999999999999988[/C][C]2.36787308615794e-14[/C][C]1.18393654307897e-14[/C][/ROW]
[ROW][C]256[/C][C]0.999999999999995[/C][C]1.08068569011368e-14[/C][C]5.40342845056841e-15[/C][/ROW]
[ROW][C]257[/C][C]0.999999999999996[/C][C]7.13175935819845e-15[/C][C]3.56587967909923e-15[/C][/ROW]
[ROW][C]258[/C][C]0.999999999999997[/C][C]5.69918559846203e-15[/C][C]2.84959279923101e-15[/C][/ROW]
[ROW][C]259[/C][C]0.999999999999998[/C][C]4.80403601556464e-15[/C][C]2.40201800778232e-15[/C][/ROW]
[ROW][C]260[/C][C]0.999999999999997[/C][C]5.47629423950299e-15[/C][C]2.7381471197515e-15[/C][/ROW]
[ROW][C]261[/C][C]0.999999999999996[/C][C]7.4412288434189e-15[/C][C]3.72061442170945e-15[/C][/ROW]
[ROW][C]262[/C][C]0.999999999999993[/C][C]1.32684785176802e-14[/C][C]6.63423925884011e-15[/C][/ROW]
[ROW][C]263[/C][C]0.99999999999999[/C][C]2.08648020505368e-14[/C][C]1.04324010252684e-14[/C][/ROW]
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[ROW][C]265[/C][C]0.999999999999968[/C][C]6.43986613672497e-14[/C][C]3.21993306836248e-14[/C][/ROW]
[ROW][C]266[/C][C]0.999999999999941[/C][C]1.18699461528191e-13[/C][C]5.93497307640953e-14[/C][/ROW]
[ROW][C]267[/C][C]0.999999999999899[/C][C]2.01550693981393e-13[/C][C]1.00775346990696e-13[/C][/ROW]
[ROW][C]268[/C][C]0.999999999999812[/C][C]3.75053258026294e-13[/C][C]1.87526629013147e-13[/C][/ROW]
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[ROW][C]270[/C][C]0.999999999999436[/C][C]1.12735599448598e-12[/C][C]5.63677997242991e-13[/C][/ROW]
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[ROW][C]274[/C][C]0.999999999996367[/C][C]7.26619855514394e-12[/C][C]3.63309927757197e-12[/C][/ROW]
[ROW][C]275[/C][C]0.999999999994348[/C][C]1.13035548558524e-11[/C][C]5.65177742792618e-12[/C][/ROW]
[ROW][C]276[/C][C]0.999999999992247[/C][C]1.55056259594273e-11[/C][C]7.75281297971366e-12[/C][/ROW]
[ROW][C]277[/C][C]0.999999999994257[/C][C]1.14850027296705e-11[/C][C]5.74250136483527e-12[/C][/ROW]
[ROW][C]278[/C][C]0.9999999999989[/C][C]2.20049118799989e-12[/C][C]1.10024559399994e-12[/C][/ROW]
[ROW][C]279[/C][C]0.999999999999733[/C][C]5.33451868545554e-13[/C][C]2.66725934272777e-13[/C][/ROW]
[ROW][C]280[/C][C]0.999999999999894[/C][C]2.12129083555969e-13[/C][C]1.06064541777985e-13[/C][/ROW]
[ROW][C]281[/C][C]0.99999999999995[/C][C]1.00886326689526e-13[/C][C]5.04431633447631e-14[/C][/ROW]
[ROW][C]282[/C][C]0.999999999999968[/C][C]6.35125067005409e-14[/C][C]3.17562533502705e-14[/C][/ROW]
[ROW][C]283[/C][C]0.999999999999984[/C][C]3.15719234822134e-14[/C][C]1.57859617411067e-14[/C][/ROW]
[ROW][C]284[/C][C]0.999999999999993[/C][C]1.40422119857058e-14[/C][C]7.02110599285292e-15[/C][/ROW]
[ROW][C]285[/C][C]0.999999999999995[/C][C]1.00415305260125e-14[/C][C]5.02076526300625e-15[/C][/ROW]
[ROW][C]286[/C][C]0.999999999999997[/C][C]5.40546042186057e-15[/C][C]2.70273021093029e-15[/C][/ROW]
[ROW][C]287[/C][C]0.999999999999998[/C][C]3.01567400885731e-15[/C][C]1.50783700442865e-15[/C][/ROW]
[ROW][C]288[/C][C]0.999999999999999[/C][C]1.45051535392185e-15[/C][C]7.25257676960924e-16[/C][/ROW]
[ROW][C]289[/C][C]0.999999999999999[/C][C]1.10263829804668e-15[/C][C]5.5131914902334e-16[/C][/ROW]
[ROW][C]290[/C][C]1[/C][C]4.63642156382532e-16[/C][C]2.31821078191266e-16[/C][/ROW]
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[ROW][C]293[/C][C]1[/C][C]6.75505770840808e-16[/C][C]3.37752885420404e-16[/C][/ROW]
[ROW][C]294[/C][C]1[/C][C]5.22033592778301e-16[/C][C]2.6101679638915e-16[/C][/ROW]
[ROW][C]295[/C][C]1[/C][C]6.36904739356852e-16[/C][C]3.18452369678426e-16[/C][/ROW]
[ROW][C]296[/C][C]0.999999999999999[/C][C]1.12468928489738e-15[/C][C]5.6234464244869e-16[/C][/ROW]
[ROW][C]297[/C][C]0.999999999999999[/C][C]1.97659017421031e-15[/C][C]9.88295087105154e-16[/C][/ROW]
[ROW][C]298[/C][C]0.999999999999999[/C][C]2.69909589411412e-15[/C][C]1.34954794705706e-15[/C][/ROW]
[ROW][C]299[/C][C]0.999999999999999[/C][C]2.89799274078393e-15[/C][C]1.44899637039197e-15[/C][/ROW]
[ROW][C]300[/C][C]0.999999999999998[/C][C]4.34878765490421e-15[/C][C]2.17439382745211e-15[/C][/ROW]
[ROW][C]301[/C][C]0.999999999999995[/C][C]1.04289821563587e-14[/C][C]5.21449107817936e-15[/C][/ROW]
[ROW][C]302[/C][C]0.999999999999992[/C][C]1.63338052282164e-14[/C][C]8.16690261410822e-15[/C][/ROW]
[ROW][C]303[/C][C]0.999999999999977[/C][C]4.4984779216206e-14[/C][C]2.2492389608103e-14[/C][/ROW]
[ROW][C]304[/C][C]0.999999999999944[/C][C]1.12076389539533e-13[/C][C]5.60381947697666e-14[/C][/ROW]
[ROW][C]305[/C][C]0.99999999999988[/C][C]2.40135271208139e-13[/C][C]1.2006763560407e-13[/C][/ROW]
[ROW][C]306[/C][C]0.999999999999729[/C][C]5.41972223856788e-13[/C][C]2.70986111928394e-13[/C][/ROW]
[ROW][C]307[/C][C]0.999999999999469[/C][C]1.06300747351503e-12[/C][C]5.31503736757513e-13[/C][/ROW]
[ROW][C]308[/C][C]0.99999999999863[/C][C]2.73990846126377e-12[/C][C]1.36995423063188e-12[/C][/ROW]
[ROW][C]309[/C][C]0.999999999996572[/C][C]6.85599310629021e-12[/C][C]3.42799655314511e-12[/C][/ROW]
[ROW][C]310[/C][C]0.999999999991457[/C][C]1.70862156472888e-11[/C][C]8.54310782364439e-12[/C][/ROW]
[ROW][C]311[/C][C]0.999999999983908[/C][C]3.21846273047625e-11[/C][C]1.60923136523813e-11[/C][/ROW]
[ROW][C]312[/C][C]0.999999999965751[/C][C]6.84977713679232e-11[/C][C]3.42488856839616e-11[/C][/ROW]
[ROW][C]313[/C][C]0.999999999938183[/C][C]1.23633485545527e-10[/C][C]6.18167427727635e-11[/C][/ROW]
[ROW][C]314[/C][C]0.999999999892381[/C][C]2.15237291683995e-10[/C][C]1.07618645841998e-10[/C][/ROW]
[ROW][C]315[/C][C]0.999999999747136[/C][C]5.0572727619332e-10[/C][C]2.5286363809666e-10[/C][/ROW]
[ROW][C]316[/C][C]0.999999999435194[/C][C]1.12961126277882e-09[/C][C]5.64805631389412e-10[/C][/ROW]
[ROW][C]317[/C][C]0.999999998456834[/C][C]3.0863318527646e-09[/C][C]1.5431659263823e-09[/C][/ROW]
[ROW][C]318[/C][C]0.999999996343021[/C][C]7.31395761480484e-09[/C][C]3.65697880740242e-09[/C][/ROW]
[ROW][C]319[/C][C]0.999999991598848[/C][C]1.68023044243858e-08[/C][C]8.40115221219292e-09[/C][/ROW]
[ROW][C]320[/C][C]0.999999977609986[/C][C]4.47800272593325e-08[/C][C]2.23900136296663e-08[/C][/ROW]
[ROW][C]321[/C][C]0.999999942631924[/C][C]1.14736152548827e-07[/C][C]5.73680762744133e-08[/C][/ROW]
[ROW][C]322[/C][C]0.999999847257103[/C][C]3.05485793778668e-07[/C][C]1.52742896889334e-07[/C][/ROW]
[ROW][C]323[/C][C]0.999999603454494[/C][C]7.93091011221931e-07[/C][C]3.96545505610966e-07[/C][/ROW]
[ROW][C]324[/C][C]0.999999214035727[/C][C]1.57192854575247e-06[/C][C]7.85964272876237e-07[/C][/ROW]
[ROW][C]325[/C][C]0.999997951822653[/C][C]4.0963546932373e-06[/C][C]2.04817734661865e-06[/C][/ROW]
[ROW][C]326[/C][C]0.999994970622795[/C][C]1.00587544109946e-05[/C][C]5.0293772054973e-06[/C][/ROW]
[ROW][C]327[/C][C]0.999987575834939[/C][C]2.48483301221379e-05[/C][C]1.2424165061069e-05[/C][/ROW]
[ROW][C]328[/C][C]0.999970997238665[/C][C]5.80055226692208e-05[/C][C]2.90027613346104e-05[/C][/ROW]
[ROW][C]329[/C][C]0.999953711166671[/C][C]9.25776666581882e-05[/C][C]4.62888333290941e-05[/C][/ROW]
[ROW][C]330[/C][C]0.999940034841813[/C][C]0.000119930316373249[/C][C]5.99651581866245e-05[/C][/ROW]
[ROW][C]331[/C][C]0.999875513834517[/C][C]0.000248972330965036[/C][C]0.000124486165482518[/C][/ROW]
[ROW][C]332[/C][C]0.999816596902901[/C][C]0.000366806194198298[/C][C]0.000183403097099149[/C][/ROW]
[ROW][C]333[/C][C]0.999739143393076[/C][C]0.00052171321384749[/C][C]0.000260856606923745[/C][/ROW]
[ROW][C]334[/C][C]0.999722226977313[/C][C]0.000555546045374898[/C][C]0.000277773022687449[/C][/ROW]
[ROW][C]335[/C][C]0.999808971660973[/C][C]0.000382056678054267[/C][C]0.000191028339027134[/C][/ROW]
[ROW][C]336[/C][C]0.999931306524468[/C][C]0.000137386951063652[/C][C]6.86934755318258e-05[/C][/ROW]
[ROW][C]337[/C][C]0.999880401481453[/C][C]0.000239197037094026[/C][C]0.000119598518547013[/C][/ROW]
[ROW][C]338[/C][C]0.999882575536013[/C][C]0.000234848927974624[/C][C]0.000117424463987312[/C][/ROW]
[ROW][C]339[/C][C]0.999982927133779[/C][C]3.41457324428122e-05[/C][C]1.70728662214061e-05[/C][/ROW]
[ROW][C]340[/C][C]0.999981866486571[/C][C]3.62670268582875e-05[/C][C]1.81335134291438e-05[/C][/ROW]
[ROW][C]341[/C][C]0.999991998848991[/C][C]1.60023020184941e-05[/C][C]8.00115100924703e-06[/C][/ROW]
[ROW][C]342[/C][C]0.999931467131322[/C][C]0.000137065737356661[/C][C]6.85328686783306e-05[/C][/ROW]
[ROW][C]343[/C][C]0.999450295896794[/C][C]0.00109940820641277[/C][C]0.000549704103206387[/C][/ROW]
[ROW][C]344[/C][C]0.996402820270079[/C][C]0.00719435945984239[/C][C]0.00359717972992119[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201528&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201528&T=5

As an alternative you can also use a QR Code:  

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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.2774425322483380.5548850644966760.722557467751662
170.4607027426412770.9214054852825550.539297257358723
180.6190931355541440.7618137288917130.380906864445856
190.6681124332281250.663775133543750.331887566771875
200.6929065503645810.6141868992708370.307093449635419
210.6938571845707770.6122856308584460.306142815429223
220.6736880169461590.6526239661076810.326311983053841
230.624078739435480.7518425211290390.37592126056452
240.5635937341676560.8728125316646890.436406265832344
250.4940889426167010.9881778852334010.505911057383299
260.4118553210188750.823710642037750.588144678981125
270.3356472792168320.6712945584336650.664352720783168
280.2776953627636510.5553907255273020.722304637236349
290.2421756581118040.4843513162236080.757824341888196
300.2062408746384380.4124817492768760.793759125361562
310.1574986365695310.3149972731390630.842501363430469
320.1322858282516110.2645716565032220.867714171748389
330.126464633924620.252929267849240.87353536607538
340.1296002691919690.2592005383839380.870399730808031
350.1428707532997330.2857415065994670.857129246700267
360.1588204693992810.3176409387985610.841179530600719
370.222723251346960.445446502693920.77727674865304
380.2677295041892640.5354590083785290.732270495810736
390.2741293858315960.5482587716631930.725870614168404
400.2519686886483220.5039373772966430.748031311351678
410.2215323723519820.4430647447039630.778467627648018
420.1877456698135990.3754913396271980.812254330186401
430.158883067553020.3177661351060390.84111693244698
440.1308846350613940.2617692701227890.869115364938606
450.104556282737110.209112565474220.89544371726289
460.08226207671053810.1645241534210760.917737923289462
470.06443682391069930.1288736478213990.935563176089301
480.0509861734461270.1019723468922540.949013826553873
490.03860905986887740.07721811973775480.961390940131123
500.02951795482405860.05903590964811710.970482045175941
510.02292875548077790.04585751096155590.977071244519222
520.0183350064252130.0366700128504260.981664993574787
530.01565585056163660.03131170112327310.984344149438363
540.01336500672280730.02673001344561460.986634993277193
550.01223899452109230.02447798904218470.987761005478908
560.01123300671160450.0224660134232090.988766993288395
570.009778613502638240.01955722700527650.990221386497362
580.008102296116281870.01620459223256370.991897703883718
590.006496760435121740.01299352087024350.993503239564878
600.004740670916636160.009481341833272330.995259329083364
610.003434021101406950.00686804220281390.996565978898593
620.002576579363496080.005153158726992150.997423420636504
630.001928289439132370.003856578878264730.998071710560868
640.001398960997402540.002797921994805080.998601039002597
650.0009783207122568660.001956641424513730.999021679287743
660.0006678217867685630.001335643573537130.999332178213231
670.0004518169873808570.0009036339747617140.999548183012619
680.0003037584432574460.0006075168865148920.999696241556743
690.0002022683526961610.0004045367053923220.999797731647304
700.0001334490564980060.0002668981129960130.999866550943502
718.7702812432829e-050.0001754056248656580.999912297187567
725.72652080891853e-050.0001145304161783710.999942734791911
734.54227384638068e-059.08454769276136e-050.999954577261536
743.46756698461777e-056.93513396923553e-050.999965324330154
752.61822557386189e-055.23645114772379e-050.999973817744261
761.8300974023835e-053.660194804767e-050.999981699025976
771.2210385946761e-052.4420771893522e-050.999987789614053
787.96429554667856e-061.59285910933571e-050.999992035704453
795.16074852512423e-061.03214970502485e-050.999994839251475
803.35263921261765e-066.70527842523531e-060.999996647360787
812.1646159981046e-064.3292319962092e-060.999997835384002
821.39720623321614e-062.79441246643227e-060.999998602793767
839.27578353797358e-071.85515670759472e-060.999999072421646
846.03409096408329e-071.20681819281666e-060.999999396590904
855.28032147003518e-071.05606429400704e-060.999999471967853
864.71490416107771e-079.42980832215542e-070.999999528509584
873.95619220894959e-077.91238441789919e-070.999999604380779
883.21380544814413e-076.42761089628826e-070.999999678619455
892.44716672481887e-074.89433344963774e-070.999999755283328
901.87307211263542e-073.74614422527084e-070.999999812692789
911.43663612818973e-072.87327225637947e-070.999999856336387
921.07969597260328e-072.15939194520656e-070.999999892030403
938.45558654228571e-081.69111730845714e-070.999999915444135
946.7767992503873e-081.35535985007746e-070.999999932232007
955.53161926670628e-081.10632385334126e-070.999999944683807
964.58438001779557e-089.16876003559114e-080.9999999541562
975.05054483911482e-081.01010896782296e-070.999999949494552
985.1671625277946e-081.03343250555892e-070.999999948328375
995.19890232134907e-081.03978046426981e-070.999999948010977
1004.82509779565496e-089.65019559130991e-080.999999951749022
1014.01532766320363e-088.03065532640726e-080.999999959846723
1023.19466106825861e-086.38932213651722e-080.999999968053389
1032.48010277680214e-084.96020555360429e-080.999999975198972
1041.82232966863158e-083.64465933726315e-080.999999981776703
1051.33497800537163e-082.66995601074327e-080.99999998665022
1069.88482842269976e-091.97696568453995e-080.999999990115172
1077.37394351638258e-091.47478870327652e-080.999999992626056
1085.09658917917619e-091.01931783583524e-080.999999994903411
1096.0545346895053e-091.21090693790106e-080.999999993945465
1102.94898486878679e-075.89796973757358e-070.999999705101513
1111.5617814253866e-053.12356285077321e-050.999984382185746
1120.0001827508575026860.0003655017150053710.999817249142497
1130.0009332019188497340.001866403837699470.99906679808115
1140.002960550211574530.005921100423149060.997039449788426
1150.006162054939173250.01232410987834650.993837945060827
1160.009047129715197620.01809425943039520.990952870284802
1170.01011153988331980.02022307976663960.98988846011668
1180.01102807061426580.02205614122853150.988971929385734
1190.01269559795471460.02539119590942930.987304402045285
1200.01446699543055640.02893399086111290.985533004569444
1210.01622815975217060.03245631950434110.983771840247829
1220.01532613502274240.03065227004548490.984673864977258
1230.0137084602149530.02741692042990610.986291539785047
1240.01160013072028360.02320026144056730.988399869279716
1250.009444112068890660.01888822413778130.990555887931109
1260.007612215740404570.01522443148080910.992387784259595
1270.006115363717994270.01223072743598850.993884636282006
1280.00498099567800360.009961991356007190.995019004321996
1290.004004839723129370.008009679446258740.995995160276871
1300.003203180418627070.006406360837254130.996796819581373
1310.002532960220815220.005065920441630440.997467039779185
1320.00199470696718940.003989413934378810.998005293032811
1330.001588473545970920.003176947091941840.998411526454029
1340.001232448016097450.00246489603219490.998767551983903
1350.0009565416012885530.001913083202577110.999043458398711
1360.0007382720452498330.001476544090499670.99926172795475
1370.0005677355365876930.001135471073175390.999432264463412
1380.0004348413913956920.0008696827827913840.999565158608604
1390.0003332289569219150.000666457913843830.999666771043078
1400.0002596727138621730.0005193454277243450.999740327286138
1410.0002006443630894530.0004012887261789060.999799355636911
1420.0001531164783065570.0003062329566131140.999846883521693
1430.0001169268088046680.0002338536176093360.999883073191195
1449.01098009500504e-050.0001802196019001010.99990989019905
1457.17779094582892e-050.0001435558189165780.999928222090542
1465.64755206256355e-050.0001129510412512710.999943524479374
1474.36763932898215e-058.73527865796429e-050.99995632360671
1483.51933203044432e-057.03866406088865e-050.999964806679696
1492.90082708949789e-055.80165417899579e-050.999970991729105
1502.36469473598819e-054.72938947197638e-050.99997635305264
1511.99524696688154e-053.99049393376308e-050.999980047530331
1521.6297958513753e-053.2595917027506e-050.999983702041486
1531.2800242000559e-052.56004840011181e-050.999987199757999
1549.64540717759812e-061.92908143551962e-050.999990354592822
1556.97011315684789e-061.39402263136958e-050.999993029886843
1565.04556529555466e-061.00911305911093e-050.999994954434704
1573.6682582113457e-067.33651642269141e-060.999996331741789
1582.588455916223e-065.17691183244601e-060.999997411544084
1591.8134011952327e-063.62680239046541e-060.999998186598805
1601.27605437527993e-062.55210875055986e-060.999998723945625
1618.88466150953828e-071.77693230190766e-060.999999111533849
1626.14150604228326e-071.22830120845665e-060.999999385849396
1634.30658667164229e-078.61317334328459e-070.999999569341333
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1652.19134205500924e-074.38268411001848e-070.999999780865795
1661.54978267186799e-073.09956534373599e-070.999999845021733
1671.07221759412437e-072.14443518824873e-070.999999892778241
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1695.11368147765328e-081.02273629553066e-070.999999948863185
1703.42321476062581e-086.84642952125162e-080.999999965767852
1712.30609934064593e-084.61219868129187e-080.999999976939007
1721.55561952060474e-083.11123904120949e-080.999999984443805
1731.06472727807968e-082.12945455615937e-080.999999989352727
1747.3063862856851e-091.46127725713702e-080.999999992693614
1755.44945737993619e-091.08989147598724e-080.999999994550543
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1774.04416149458327e-098.08832298916654e-090.999999995955839
1783.31498777642156e-096.62997555284312e-090.999999996685012
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1802.29449857696758e-094.58899715393515e-090.999999997705501
1811.89719461090748e-093.79438922181496e-090.999999998102805
1821.57615884238168e-093.15231768476336e-090.999999998423841
1831.45843416886875e-092.91686833773751e-090.999999998541566
1841.4787556741331e-092.9575113482662e-090.999999998521244
1851.4193287306207e-092.83865746124139e-090.999999998580671
1861.47262368732866e-092.94524737465732e-090.999999998527376
1871.60766429609639e-093.21532859219277e-090.999999998392336
1882.12424302014848e-094.24848604029695e-090.999999997875757
1893.19356298969809e-096.38712597939618e-090.999999996806437
1905.12784747440683e-091.02556949488137e-080.999999994872153
1919.99454076148539e-091.99890815229708e-080.999999990005459
1922.06056606501829e-084.12113213003657e-080.999999979394339
1934.71654027394548e-089.43308054789096e-080.999999952834597
1948.84546694632169e-081.76909338926434e-070.999999911545331
1951.72516473311778e-073.45032946623555e-070.999999827483527
1963.65562687459268e-077.31125374918536e-070.999999634437313
1977.51482276206305e-071.50296455241261e-060.999999248517724
1981.53353007290866e-063.06706014581732e-060.999998466469927
1993.63768195652381e-067.27536391304763e-060.999996362318043
2001.2399007839935e-052.479801567987e-050.99998760099216
2014.15295763060768e-058.30591526121535e-050.999958470423694
2020.0001638409307412110.0003276818614824220.999836159069259
2030.0005655009311484180.001131001862296840.999434499068852
2040.001681337337199740.003362674674399480.9983186626628
2050.004690817947968650.00938163589593730.995309182052031
2060.01281718160484240.02563436320968470.987182818395158
2070.03693070563175010.07386141126350020.96306929436825
2080.1075015357147190.2150030714294380.892498464285281
2090.2676630678590380.5353261357180760.732336932140962
2100.5087243422002450.982551315599510.491275657799755
2110.5928099056697390.8143801886605220.407190094330261
2120.8391862349062910.3216275301874190.160813765093709
2130.9509814422168290.09803711556634150.0490185577831708
2140.9878797047449520.02424059051009550.0121202952550477
2150.9979240068824490.004151986235101950.00207599311755097
2160.9995842952669730.0008314094660543980.000415704733027199
2170.9999266782778820.0001466434442369147.3321722118457e-05
2180.9999755007519714.89984960576908e-052.44992480288454e-05
2190.9999877509568032.44980863938928e-051.22490431969464e-05
2200.99999290910031.41817993992452e-057.0908996996226e-06
2210.9999954806877139.03862457360259e-064.5193122868013e-06
2220.999996964722396.07055522096501e-063.03527761048251e-06
2230.999997597627294.8047454204711e-062.40237271023555e-06
2240.9999980549876953.89002460943625e-061.94501230471813e-06
2250.9999983283078173.34338436650976e-061.67169218325488e-06
2260.9999982880208633.42395827417622e-061.71197913708811e-06
2270.9999981994496143.60110077275288e-061.80055038637644e-06
2280.9999979853759394.02924812183033e-062.01462406091516e-06
2290.9999975081977724.98360445596755e-062.49180222798377e-06
2300.9999967879610216.4240779578093e-063.21203897890465e-06
2310.9999959846662728.03066745627047e-064.01533372813523e-06
2320.9999952423415629.51531687523534e-064.75765843761767e-06
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2340.9999942538249811.14923500381729e-055.74617501908644e-06
2350.9999943271584181.13456831631518e-055.67284158157592e-06
2360.9999944494312371.11011375251811e-055.55056876259055e-06
2370.9999948712713751.02574572496792e-055.1287286248396e-06
2380.9999948779123561.02441752882357e-055.12208764411785e-06
2390.9999950032176799.99356464172984e-064.99678232086492e-06
2400.9999947885649771.04228700455023e-055.21143502275115e-06
2410.9999948831160151.0233767969551e-055.1168839847755e-06
2420.9999947072706481.05854587046421e-055.29272935232105e-06
2430.9999935187270561.29625458884471e-056.48127294422356e-06
2440.9999924529190461.50941619079213e-057.54708095396063e-06
2450.9999935928431021.28143137957487e-056.40715689787436e-06
2460.9999981241581373.75168372675892e-061.87584186337946e-06
2470.9999998093391413.81321717027328e-071.90660858513664e-07
2480.9999999895466962.09066079116133e-081.04533039558066e-08
2490.9999999996362887.27424668085521e-103.63712334042761e-10
2500.9999999999682246.35515134870133e-113.17757567435066e-11
2510.9999999999975854.83051695211473e-122.41525847605737e-12
2520.9999999999996846.31557005416765e-133.15778502708382e-13
2530.9999999999998892.21389917599593e-131.10694958799797e-13
2540.9999999999999568.86462287819055e-144.43231143909527e-14
2550.9999999999999882.36787308615794e-141.18393654307897e-14
2560.9999999999999951.08068569011368e-145.40342845056841e-15
2570.9999999999999967.13175935819845e-153.56587967909923e-15
2580.9999999999999975.69918559846203e-152.84959279923101e-15
2590.9999999999999984.80403601556464e-152.40201800778232e-15
2600.9999999999999975.47629423950299e-152.7381471197515e-15
2610.9999999999999967.4412288434189e-153.72061442170945e-15
2620.9999999999999931.32684785176802e-146.63423925884011e-15
2630.999999999999992.08648020505368e-141.04324010252684e-14
2640.9999999999999833.36705203178285e-141.68352601589142e-14
2650.9999999999999686.43986613672497e-143.21993306836248e-14
2660.9999999999999411.18699461528191e-135.93497307640953e-14
2670.9999999999998992.01550693981393e-131.00775346990696e-13
2680.9999999999998123.75053258026294e-131.87526629013147e-13
2690.9999999999996836.33459988862573e-133.16729994431287e-13
2700.9999999999994361.12735599448598e-125.63677997242991e-13
2710.9999999999989992.00256849262878e-121.00128424631439e-12
2720.9999999999982483.50311955345807e-121.75155977672904e-12
2730.9999999999969456.11034180750858e-123.05517090375429e-12
2740.9999999999963677.26619855514394e-123.63309927757197e-12
2750.9999999999943481.13035548558524e-115.65177742792618e-12
2760.9999999999922471.55056259594273e-117.75281297971366e-12
2770.9999999999942571.14850027296705e-115.74250136483527e-12
2780.99999999999892.20049118799989e-121.10024559399994e-12
2790.9999999999997335.33451868545554e-132.66725934272777e-13
2800.9999999999998942.12129083555969e-131.06064541777985e-13
2810.999999999999951.00886326689526e-135.04431633447631e-14
2820.9999999999999686.35125067005409e-143.17562533502705e-14
2830.9999999999999843.15719234822134e-141.57859617411067e-14
2840.9999999999999931.40422119857058e-147.02110599285292e-15
2850.9999999999999951.00415305260125e-145.02076526300625e-15
2860.9999999999999975.40546042186057e-152.70273021093029e-15
2870.9999999999999983.01567400885731e-151.50783700442865e-15
2880.9999999999999991.45051535392185e-157.25257676960924e-16
2890.9999999999999991.10263829804668e-155.5131914902334e-16
29014.63642156382532e-162.31821078191266e-16
29112.50611777280972e-161.25305888640486e-16
29213.8231412953636e-161.9115706476818e-16
29316.75505770840808e-163.37752885420404e-16
29415.22033592778301e-162.6101679638915e-16
29516.36904739356852e-163.18452369678426e-16
2960.9999999999999991.12468928489738e-155.6234464244869e-16
2970.9999999999999991.97659017421031e-159.88295087105154e-16
2980.9999999999999992.69909589411412e-151.34954794705706e-15
2990.9999999999999992.89799274078393e-151.44899637039197e-15
3000.9999999999999984.34878765490421e-152.17439382745211e-15
3010.9999999999999951.04289821563587e-145.21449107817936e-15
3020.9999999999999921.63338052282164e-148.16690261410822e-15
3030.9999999999999774.4984779216206e-142.2492389608103e-14
3040.9999999999999441.12076389539533e-135.60381947697666e-14
3050.999999999999882.40135271208139e-131.2006763560407e-13
3060.9999999999997295.41972223856788e-132.70986111928394e-13
3070.9999999999994691.06300747351503e-125.31503736757513e-13
3080.999999999998632.73990846126377e-121.36995423063188e-12
3090.9999999999965726.85599310629021e-123.42799655314511e-12
3100.9999999999914571.70862156472888e-118.54310782364439e-12
3110.9999999999839083.21846273047625e-111.60923136523813e-11
3120.9999999999657516.84977713679232e-113.42488856839616e-11
3130.9999999999381831.23633485545527e-106.18167427727635e-11
3140.9999999998923812.15237291683995e-101.07618645841998e-10
3150.9999999997471365.0572727619332e-102.5286363809666e-10
3160.9999999994351941.12961126277882e-095.64805631389412e-10
3170.9999999984568343.0863318527646e-091.5431659263823e-09
3180.9999999963430217.31395761480484e-093.65697880740242e-09
3190.9999999915988481.68023044243858e-088.40115221219292e-09
3200.9999999776099864.47800272593325e-082.23900136296663e-08
3210.9999999426319241.14736152548827e-075.73680762744133e-08
3220.9999998472571033.05485793778668e-071.52742896889334e-07
3230.9999996034544947.93091011221931e-073.96545505610966e-07
3240.9999992140357271.57192854575247e-067.85964272876237e-07
3250.9999979518226534.0963546932373e-062.04817734661865e-06
3260.9999949706227951.00587544109946e-055.0293772054973e-06
3270.9999875758349392.48483301221379e-051.2424165061069e-05
3280.9999709972386655.80055226692208e-052.90027613346104e-05
3290.9999537111666719.25776666581882e-054.62888333290941e-05
3300.9999400348418130.0001199303163732495.99651581866245e-05
3310.9998755138345170.0002489723309650360.000124486165482518
3320.9998165969029010.0003668061941982980.000183403097099149
3330.9997391433930760.000521713213847490.000260856606923745
3340.9997222269773130.0005555460453748980.000277773022687449
3350.9998089716609730.0003820566780542670.000191028339027134
3360.9999313065244680.0001373869510636526.86934755318258e-05
3370.9998804014814530.0002391970370940260.000119598518547013
3380.9998825755360130.0002348489279746240.000117424463987312
3390.9999829271337793.41457324428122e-051.70728662214061e-05
3400.9999818664865713.62670268582875e-051.81335134291438e-05
3410.9999919988489911.60023020184941e-058.00115100924703e-06
3420.9999314671313220.0001370657373566616.85328686783306e-05
3430.9994502958967940.001099408206412770.000549704103206387
3440.9964028202700790.007194359459842390.00359717972992119







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2630.799392097264438NOK
5% type I error level2870.872340425531915NOK
10% type I error level2910.884498480243161NOK

\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 & 263 & 0.799392097264438 & NOK \tabularnewline
5% type I error level & 287 & 0.872340425531915 & NOK \tabularnewline
10% type I error level & 291 & 0.884498480243161 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201528&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]263[/C][C]0.799392097264438[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]287[/C][C]0.872340425531915[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]291[/C][C]0.884498480243161[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201528&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201528&T=6

As an alternative you can also use a QR Code:  

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2630.799392097264438NOK
5% type I error level2870.872340425531915NOK
10% type I error level2910.884498480243161NOK



Parameters (Session):
par1 = 1 ; par2 = Include Monthly Dummies ; par3 = Linear Trend ;
Parameters (R input):
par1 = 1 ; par2 = Include Monthly Dummies ; par3 = Linear Trend ;
R code (references can be found in the software module):
library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, mysum$coefficients[i,1], sep=' ')
if (rownames(mysum$coefficients)[i] != '(Intercept)') {
myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,mysum$coefficients[i,1])
a<-table.element(a, round(mysum$coefficients[i,2],6))
a<-table.element(a, round(mysum$coefficients[i,3],4))
a<-table.element(a, round(mysum$coefficients[i,4],6))
a<-table.element(a, round(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, sqrt(mysum$r.squared))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, mysum$r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, mysum$adj.r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, mysum$fstatistic[1])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[2])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[3])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, 1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
a<-table.element(a, mysum$sigma)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, sum(myerror*myerror))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,x[i])
a<-table.element(a,x[i]-mysum$resid[i])
a<-table.element(a,mysum$resid[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable4.tab')
if (n > n25) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-values',header=TRUE)
a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'breakpoint index',header=TRUE)
a<-table.element(a,'greater',header=TRUE)
a<-table.element(a,'2-sided',header=TRUE)
a<-table.element(a,'less',header=TRUE)
a<-table.row.end(a)
for (mypoint in kp3:nmkm3) {
a<-table.row.start(a)
a<-table.element(a,mypoint,header=TRUE)
a<-table.element(a,gqarr[mypoint-kp3+1,1])
a<-table.element(a,gqarr[mypoint-kp3+1,2])
a<-table.element(a,gqarr[mypoint-kp3+1,3])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable5.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,'# significant tests',header=TRUE)
a<-table.element(a,'% significant tests',header=TRUE)
a<-table.element(a,'OK/NOK',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'1% type I error level',header=TRUE)
a<-table.element(a,numsignificant1)
a<-table.element(a,numsignificant1/numgqtests)
if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'5% type I error level',header=TRUE)
a<-table.element(a,numsignificant5)
a<-table.element(a,numsignificant5/numgqtests)
if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'10% type I error level',header=TRUE)
a<-table.element(a,numsignificant10)
a<-table.element(a,numsignificant10/numgqtests)
if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable6.tab')
}