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R Software Module

rwasp_multipleregression.wasp

Title produced by software

Multiple Regression

Date of computation

Fri, 25 Nov 2011 05:50:08 -0500

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/25/t1322218218kx4ajfjb1v4p8fu.htm/, Retrieved Sat, 28 Jun 2025 21:06:36 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=147284, Retrieved Sat, 28 Jun 2025 21:06:36 +0000

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Estimated Impact

312

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Multiple Regression] [] [2011-11-25 10:50:08] [cd8b9934e81fda54a97eda68755efa21] [Current]

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	15 seconds
R Server	'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 15 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147284&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]15 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147284&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147284&T=0

As an alternative you can also use a QR Code:

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	15 seconds
R Server	'George Udny Yule' @ yule.wessa.net

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

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
y[t] =  +  176.34311827957 +  72.2415821012545M1[t] +  81.1193268369176M2[t] +  57.8325554435484M3[t] +  17.8909453405018M4[t] -3.66679379480288M5[t] +  68.0399831989247M6[t] +  44.2499859991039M7[t] +  12.0857952508961M8[t] -6.03968581989247M9[t] -22.5006507616487M10[t] -1.44871247759856M11[t] +  1.0190294578853t  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147284&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]y[t] =  +  176.34311827957 +  72.2415821012545M1[t] +  81.1193268369176M2[t] +  57.8325554435484M3[t] +  17.8909453405018M4[t] -3.66679379480288M5[t] +  68.0399831989247M6[t] +  44.2499859991039M7[t] +  12.0857952508961M8[t] -6.03968581989247M9[t] -22.5006507616487M10[t] -1.44871247759856M11[t] +  1.0190294578853t  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147284&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147284&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
y[t] = + 176.34311827957 + 72.2415821012545M1[t] + 81.1193268369176M2[t] + 57.8325554435484M3[t] + 17.8909453405018M4[t] -3.66679379480288M5[t] + 68.0399831989247M6[t] + 44.2499859991039M7[t] + 12.0857952508961M8[t] -6.03968581989247M9[t] -22.5006507616487M10[t] -1.44871247759856M11[t] + 1.0190294578853t + e[t]

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

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Ordinary Least Squares \tabularnewline
Variable & Parameter & S.D. & T-STATH0: parameter = 0 & 2-tail p-value & 1-tail p-value \tabularnewline
(Intercept) & 176.34311827957 & 21.582495 & 8.1707 & 0 & 0 \tabularnewline
M1 & 72.2415821012545 & 27.125671 & 2.6632 & 0.008088 & 0.004044 \tabularnewline
M2 & 81.1193268369176 & 27.124642 & 2.9906 & 0.002976 & 0.001488 \tabularnewline
M3 & 57.8325554435484 & 27.12371 & 2.1322 & 0.033671 & 0.016835 \tabularnewline
M4 & 17.8909453405018 & 27.122876 & 0.6596 & 0.509917 & 0.254959 \tabularnewline
M5 & -3.66679379480288 & 27.122141 & -0.1352 & 0.892533 & 0.446267 \tabularnewline
M6 & 68.0399831989247 & 27.121503 & 2.5087 & 0.012557 & 0.006279 \tabularnewline
M7 & 44.2499859991039 & 27.120964 & 1.6316 & 0.103645 & 0.051823 \tabularnewline
M8 & 12.0857952508961 & 27.120522 & 0.4456 & 0.656131 & 0.328066 \tabularnewline
M9 & -6.03968581989247 & 27.120179 & -0.2227 & 0.823895 & 0.411948 \tabularnewline
M10 & -22.5006507616487 & 27.119934 & -0.8297 & 0.407276 & 0.203638 \tabularnewline
M11 & -1.44871247759856 & 27.119787 & -0.0534 & 0.957428 & 0.478714 \tabularnewline
t & 1.0190294578853 & 0.051577 & 19.7576 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147284&T=2

[TABLE]
[ROW][C]Multiple Linear Regression - Ordinary Least Squares[/C][/ROW]
[ROW][C]Variable[/C][C]Parameter[/C][C]S.D.[/C][C]T-STATH0: parameter = 0[/C][C]2-tail p-value[/C][C]1-tail p-value[/C][/ROW]
[ROW][C](Intercept)[/C][C]176.34311827957[/C][C]21.582495[/C][C]8.1707[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M1[/C][C]72.2415821012545[/C][C]27.125671[/C][C]2.6632[/C][C]0.008088[/C][C]0.004044[/C][/ROW]
[ROW][C]M2[/C][C]81.1193268369176[/C][C]27.124642[/C][C]2.9906[/C][C]0.002976[/C][C]0.001488[/C][/ROW]
[ROW][C]M3[/C][C]57.8325554435484[/C][C]27.12371[/C][C]2.1322[/C][C]0.033671[/C][C]0.016835[/C][/ROW]
[ROW][C]M4[/C][C]17.8909453405018[/C][C]27.122876[/C][C]0.6596[/C][C]0.509917[/C][C]0.254959[/C][/ROW]
[ROW][C]M5[/C][C]-3.66679379480288[/C][C]27.122141[/C][C]-0.1352[/C][C]0.892533[/C][C]0.446267[/C][/ROW]
[ROW][C]M6[/C][C]68.0399831989247[/C][C]27.121503[/C][C]2.5087[/C][C]0.012557[/C][C]0.006279[/C][/ROW]
[ROW][C]M7[/C][C]44.2499859991039[/C][C]27.120964[/C][C]1.6316[/C][C]0.103645[/C][C]0.051823[/C][/ROW]
[ROW][C]M8[/C][C]12.0857952508961[/C][C]27.120522[/C][C]0.4456[/C][C]0.656131[/C][C]0.328066[/C][/ROW]
[ROW][C]M9[/C][C]-6.03968581989247[/C][C]27.120179[/C][C]-0.2227[/C][C]0.823895[/C][C]0.411948[/C][/ROW]
[ROW][C]M10[/C][C]-22.5006507616487[/C][C]27.119934[/C][C]-0.8297[/C][C]0.407276[/C][C]0.203638[/C][/ROW]
[ROW][C]M11[/C][C]-1.44871247759856[/C][C]27.119787[/C][C]-0.0534[/C][C]0.957428[/C][C]0.478714[/C][/ROW]
[ROW][C]t[/C][C]1.0190294578853[/C][C]0.051577[/C][C]19.7576[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147284&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147284&T=2

As an alternative you can also use a QR Code:

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

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

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

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.735625547908382 \tabularnewline
R-squared & 0.541144946735507 \tabularnewline
Adjusted R-squared & 0.525807173367334 \tabularnewline
F-TEST (value) & 35.2818452682604 \tabularnewline
F-TEST (DF numerator) & 12 \tabularnewline
F-TEST (DF denominator) & 359 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 106.770513988965 \tabularnewline
Sum Squared Residuals & 4092579.41403091 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147284&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.735625547908382[/C][/ROW]
[ROW][C]R-squared[/C][C]0.541144946735507[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.525807173367334[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]35.2818452682604[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]12[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]359[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]106.770513988965[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]4092579.41403091[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147284&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147284&T=3

As an alternative you can also use a QR Code:

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

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	235.1	249.603729838709	-14.5037298387093
2	280.7	259.500504032258	21.199495967742
3	264.6	237.232762096774	27.3672379032257
4	240.7	198.310181451613	42.389818548387
5	201.4	177.771471774194	23.6285282258065
6	240.8	250.497278225807	-9.6972782258066
7	241.1	227.726310483871	13.3736895161289
8	223.8	196.581149193548	27.2188508064516
9	206.1	179.474697580645	26.6253024193549
10	174.7	164.032762096774	10.6672379032258
11	203.3	186.10372983871	17.1962701612903
12	220.5	188.571471774194	31.9285282258065
13	299.5	261.832083333333	37.6679166666668
14	347.4	271.728857526882	75.6711424731182
15	338.3	249.461115591398	88.8388844086022
16	327.7	210.538534946236	117.161465053763
17	351.6	189.999825268817	161.600174731183
18	396.6	262.72563172043	133.87436827957
19	438.8	239.954663978495	198.845336021505
20	395.6	208.809502688172	186.790497311828
21	363.5	191.703051075269	171.796948924731
22	378.8	176.261115591398	202.538884408602
23	357	198.332083333333	158.667916666667
24	369	200.799825268817	168.200174731183
25	464.8	274.060436827957	190.739563172043
26	479.1	283.957211021505	195.142788978495
27	431.3	261.689469086022	169.610530913979
28	366.5	222.76688844086	143.73311155914
29	326.3	202.228178763441	124.071821236559
30	355.1	274.953985215054	80.1460147849462
31	331.6	252.183017473118	79.4169825268817
32	261.3	221.037856182796	40.2621438172043
33	249	203.931404569892	45.0685954301075
34	205.5	188.489469086022	17.0105309139785
35	235.6	210.560436827957	25.039563172043
36	240.9	213.028178763441	27.8718212365591
37	264.9	286.288790322581	-21.3887903225807
38	253.8	296.185564516129	-42.3855645161291
39	232.3	273.917822580645	-41.6178225806451
40	193.8	234.995241935484	-41.1952419354838
41	177	214.456532258064	-37.4565322580645
42	213.2	287.182338709677	-73.9823387096774
43	207.2	264.411370967742	-57.211370967742
44	180.6	233.266209677419	-52.6662096774194
45	188.6	216.159758064516	-27.5597580645162
46	175.4	200.717822580645	-25.3178225806452
47	199	222.788790322581	-23.7887903225807
48	179.6	225.256532258065	-45.6565322580646
49	225.8	298.517143817204	-72.7171438172043
50	234	308.413918010753	-74.4139180107527
51	200.2	286.146176075269	-85.9461760752688
52	183.6	247.223595430107	-63.6235954301075
53	178.2	226.684885752688	-48.4848857526882
54	203.2	299.410692204301	-96.210692204301
55	208.5	276.639724462366	-68.1397244623656
56	191.8	245.494563172043	-53.694563172043
57	172.8	228.38811155914	-55.5881115591398
58	148	212.946176075269	-64.9461760752688
59	159.4	235.017143817204	-75.6171438172043
60	154.5	237.484885752688	-82.9848857526882
61	213.2	310.745497311828	-97.545497311828
62	196.4	320.642271505376	-124.242271505376
63	182.8	298.374529569892	-115.574529569892
64	176.4	259.451948924731	-83.0519489247311
65	153.6	238.913239247312	-85.3132392473118
66	173.2	311.639045698925	-138.439045698925
67	171	288.868077956989	-117.868077956989
68	151.2	257.722916666667	-106.522916666667
69	161.9	240.616465053763	-78.7164650537635
70	157.2	225.174529569892	-67.9745295698925
71	201.7	247.245497311828	-45.545497311828
72	236.4	249.713239247312	-13.3132392473118
73	356.1	322.973850806452	33.1261491935484
74	398.3	332.870625	65.429375
75	403.7	310.602883064516	93.0971169354839
76	384.6	271.680302419355	112.919697580645
77	365.8	251.141592741935	114.658407258065
78	368.1	323.867399193548	44.2326008064517
79	367.9	301.096431451613	66.8035685483871
80	347	269.95127016129	77.0487298387097
81	343.3	252.844818548387	90.4551814516129
82	292.9	237.402883064516	55.4971169354839
83	311.5	259.473850806452	52.0261491935484
84	300.9	261.941592741935	38.9584072580645
85	366.9	335.202204301075	31.6977956989247
86	356.9	345.098978494624	11.8010215053763
87	329.7	322.83123655914	6.86876344086024
88	316.2	283.908655913979	32.2913440860215
89	269	263.369946236559	5.63005376344091
90	289.3	336.095752688172	-46.795752688172
91	266.2	313.324784946237	-47.1247849462365
92	253.6	282.179623655914	-28.579623655914
93	233.8	265.073172043011	-31.2731720430107
94	228.4	249.63123655914	-21.2312365591398
95	253.6	271.702204301075	-18.1022043010753
96	260.1	274.169946236559	-14.0699462365591
97	306.6	347.430557795699	-40.8305577956989
98	309.2	357.327331989247	-48.1273319892473
99	309.5	335.059590053763	-25.5595900537634
100	271	296.137009408602	-25.1370094086022
101	279.9	275.598299731183	4.30170026881722
102	317.9	348.324106182796	-30.4241061827957
103	298.4	325.55313844086	-27.1531384408602
104	246.7	294.407977150538	-47.7079771505376
105	227.3	277.301525537634	-50.0015255376344
106	209.1	261.859590053763	-52.7595900537634
107	259.9	283.930557795699	-24.0305577956989
108	266	286.398299731183	-20.3982997311828
109	320.6	359.658911290323	-39.0589112903226
110	308.5	369.555685483871	-61.055685483871
111	282.2	347.287943548387	-65.0879435483871
112	262.7	308.365362903226	-45.6653629032258
113	263.5	287.826653225806	-24.3266532258064
114	313.1	360.552459677419	-47.4524596774193
115	284.3	337.781491935484	-53.4814919354838
116	252.6	306.636330645161	-54.0363306451613
117	250.3	289.529879032258	-39.229879032258
118	246.5	274.087943548387	-27.5879435483871
119	312.7	296.158911290323	16.5410887096774
120	333.2	298.626653225806	34.5733467741935
121	446.4	371.887264784946	74.5127352150537
122	511.6	381.784038978495	129.815961021505
123	515.5	359.516297043011	155.983702956989
124	506.4	320.59371639785	185.80628360215
125	483.2	300.05500672043	183.14499327957
126	522.3	372.780813172043	149.519186827957
127	509.8	350.009845430108	159.790154569892
128	460.7	318.864684139785	141.835315860215
129	405.8	301.758232526882	104.041767473118
130	375	286.316297043011	88.6837029569892
131	378.5	308.387264784946	70.1127352150537
132	406.8	310.85500672043	95.9449932795699
133	467.8	384.11561827957	83.68438172043
134	469.8	394.012392473118	75.7876075268817
135	429.8	371.744650537634	58.0553494623656
136	355.8	332.822069892473	22.9779301075269
137	332.7	312.283360215054	20.4166397849463
138	378	385.009166666667	-7.00916666666668
139	360.5	362.238198924731	-1.73819892473119
140	334.7	331.093037634409	3.60696236559135
141	319.5	313.986586021505	5.5134139784946
142	323.1	298.544650537634	24.5553494623656
143	363.6	320.61561827957	42.9843817204301
144	352.1	323.083360215054	29.0166397849462
145	411.9	396.343971774194	15.5560282258064
146	388.6	406.240745967742	-17.6407459677419
147	416.4	383.973004032258	32.4269959677419
148	360.7	345.050423387097	15.6495766129032
149	338	324.511713709677	13.4882862903226
150	417.2	397.23752016129	19.9624798387097
151	388.4	374.466552419355	13.9334475806451
152	371.1	343.321391129032	27.7786088709677
153	331.5	326.214939516129	5.28506048387095
154	353.7	310.773004032258	42.9269959677419
155	396.7	332.843971774194	63.8560282258064
156	447	335.311713709677	111.688286290323
157	533.5	408.572325268817	124.927674731183
158	565.4	418.469099462366	146.930900537634
159	542.3	396.201357526882	146.098642473118
160	488.7	357.27877688172	131.42122311828
161	467.1	336.740067204301	130.359932795699
162	531.3	409.465873655914	121.834126344086
163	496.1	386.694905913979	109.405094086022
164	444	355.549744623656	88.450255376344
165	403.4	338.443293010753	64.9567069892473
166	386.3	323.001357526882	63.2986424731183
167	394.1	345.072325268817	49.0276747311828
168	404.1	347.540067204301	56.5599327956989
169	462.1	420.800678763441	41.2993212365591
170	448.1	430.697452956989	17.4025470430108
171	432.3	408.429711021505	23.8702889784946
172	386.3	369.507130376344	16.7928696236559
173	395.2	348.968420698925	46.2315793010753
174	421.9	421.694227150538	0.205772849462341
175	382.9	398.923259408602	-16.0232594086022
176	384.2	367.77809811828	16.4219018817204
177	345.5	350.671646505376	-5.17164650537637
178	323.4	335.229711021505	-11.8297110215054
179	372.6	357.300678763441	15.2993212365591
180	376	359.768420698925	16.2315793010752
181	462.7	433.029032258065	29.6709677419354
182	487	442.925806451613	44.0741935483871
183	444.2	420.658064516129	23.541935483871
184	399.3	381.735483870968	17.5645161290323
185	394.9	361.196774193548	33.7032258064516
186	455.4	433.922580645161	21.4774193548387
187	414	411.151612903226	2.8483870967742
188	375.5	380.006451612903	-4.50645161290326
189	347	362.9	-15.9
190	339.4	347.458064516129	-8.05806451612905
191	385.8	369.529032258065	16.2709677419355
192	378.8	371.996774193548	6.80322580645159
193	451.8	445.257385752688	6.5426142473118
194	446.1	455.154159946237	-9.05415994623654
195	422.5	432.886418010753	-10.3864180107527
196	383.1	393.963837365591	-10.8638373655914
197	352.8	373.425127688172	-20.625127688172
198	445.3	446.150934139785	-0.85093413978494
199	367.5	423.379966397849	-55.8799663978495
200	355.1	392.234805107527	-37.1348051075269
201	326.2	375.128353494624	-48.9283534946237
202	319.8	359.686418010753	-39.8864180107527
203	331.8	381.757385752688	-49.9573857526882
204	340.9	384.225127688172	-43.3251276881721
205	394.1	457.485739247312	-63.3857392473119
206	417.2	467.38251344086	-50.1825134408602
207	369.9	445.114771505376	-75.2147715053764
208	349.2	406.192190860215	-56.9921908602151
209	321.4	385.653481182796	-64.2534811827957
210	405.7	458.379287634409	-52.6792876344086
211	342.9	435.608319892473	-92.7083198924732
212	316.5	404.463158602151	-87.9631586021506
213	284.2	387.356706989247	-103.156706989247
214	270.9	371.914771505376	-101.014771505376
215	288.8	393.985739247312	-105.185739247312
216	278.8	396.453481182796	-117.653481182796
217	324.4	469.714092741935	-145.314092741936
218	310.9	479.610866935484	-168.710866935484
219	299	457.343125	-158.343125
220	273	418.420544354839	-145.420544354839
221	279.3	397.881834677419	-118.581834677419
222	359.2	470.607641129032	-111.407641129032
223	305	447.836673387097	-142.836673387097
224	282.1	416.691512096774	-134.591512096774
225	250.3	399.585060483871	-149.285060483871
226	246.5	384.143125	-137.643125
227	257.9	406.214092741935	-148.314092741935
228	266.5	408.681834677419	-142.181834677419
229	315.9	481.942446236559	-166.042446236559
230	318.4	491.839220430108	-173.439220430107
231	295.4	469.571478494624	-174.171478494624
232	266.4	430.648897849462	-164.248897849462
233	245.8	410.110188172043	-164.310188172043
234	362.8	482.835994623656	-120.035994623656
235	324.9	460.06502688172	-135.16502688172
236	294.2	428.919865591398	-134.719865591398
237	289.5	411.813413978495	-122.313413978495
238	295.2	396.371478494624	-101.171478494624
239	290.3	418.442446236559	-128.142446236559
240	272	420.910188172043	-148.910188172043
241	307.4	494.170799731183	-186.770799731183
242	328.7	504.067573924731	-175.367573924731
243	292.9	481.799831989247	-188.899831989247
244	249.1	442.877251344086	-193.777251344086
245	230.4	422.338541666667	-191.938541666667
246	361.5	495.06434811828	-133.56434811828
247	321.7	472.293380376344	-150.593380376344
248	277.2	441.148219086022	-163.948219086022
249	260.7	424.041767473118	-163.341767473118
250	251	408.599831989247	-157.599831989247
251	257.6	430.670799731183	-173.070799731183
252	241.8	433.138541666667	-191.338541666667
253	287.5	506.399153225806	-218.899153225806
254	292.3	516.295927419355	-223.995927419355
255	274.7	494.028185483871	-219.328185483871
256	254.2	455.10560483871	-200.90560483871
257	230	434.56689516129	-204.56689516129
258	339	507.292701612903	-168.292701612903
259	318.2	484.521733870968	-166.321733870968
260	287	453.376572580645	-166.376572580645
261	295.8	436.270120967742	-140.470120967742
262	284	420.828185483871	-136.828185483871
263	271	442.899153225806	-171.899153225806
264	262.7	445.36689516129	-182.66689516129
265	340.6	518.62750672043	-178.02750672043
266	379.4	528.524280913978	-149.124280913979
267	373.3	506.256538978495	-132.956538978495
268	355.2	467.333958333333	-112.133958333333
269	338.4	446.795248655914	-108.395248655914
270	466.9	519.521055107527	-52.6210551075269
271	451	496.750087365591	-45.7500873655914
272	422	465.604926075269	-43.6049260752688
273	429.2	448.498474462366	-19.2984744623656
274	425.9	433.056538978495	-7.15653897849465
275	460.7	455.12750672043	5.57249327956986
276	463.6	457.595248655914	6.00475134408602
277	541.4	530.855860215054	10.5441397849462
278	544.2	540.752634408602	3.44736559139788
279	517.5	518.484892473118	-0.984892473118272
280	469.4	479.562311827957	-10.162311827957
281	439.4	459.023602150538	-19.6236021505376
282	549	531.749408602151	17.2505913978495
283	533	508.978440860215	24.021559139785
284	506.1	477.833279569893	28.2667204301075
285	484	460.726827956989	23.2731720430108
286	457	445.284892473118	11.7151075268817
287	481.5	467.355860215054	14.1441397849462
288	469.5	469.823602150538	-0.323602150537605
289	544.7	543.084213709677	1.61578629032258
290	541.2	552.980987903226	-11.7809879032258
291	521.5	530.713245967742	-9.21324596774194
292	469.7	491.790665322581	-22.0906653225807
293	434.4	471.251955645161	-36.8519556451613
294	542.6	543.977762096774	-1.37776209677414
295	517.3	521.206794354839	-3.90679435483875
296	485.7	490.061633064516	-4.36163306451613
297	465.8	472.955181451613	-7.15518145161287
298	447	457.513245967742	-10.5132459677419
299	426.6	479.584213709677	-52.9842137096774
300	411.6	482.051955645161	-70.4519556451612
301	467.5	555.312567204301	-87.812567204301
302	484.5	565.209341397849	-80.7093413978495
303	451.2	542.941599462366	-91.7415994623656
304	417.4	504.019018817204	-86.6190188172043
305	379.9	483.480309139785	-103.580309139785
306	484.7	556.206115591398	-71.5061155913979
307	455	533.435147849462	-78.4351478494624
308	420.8	502.28998655914	-81.4899865591398
309	416.5	485.183534946237	-68.6835349462366
310	376.3	469.741599462366	-93.4415994623656
311	405.6	491.812567204301	-86.212567204301
312	405.8	494.280309139785	-88.480309139785
313	500.8	567.540920698925	-66.7409206989248
314	514	577.437694892473	-63.4376948924732
315	475.5	555.169952956989	-79.6699529569893
316	430.1	516.247372311828	-86.147372311828
317	414.4	495.708662634409	-81.3086626344087
318	538	568.434469086022	-30.4344690860216
319	526	545.663501344086	-19.6635013440861
320	488.5	514.518340053763	-26.0183400537634
321	520.2	497.41188844086	22.7881115591398
322	504.4	481.969952956989	22.4300470430107
323	568.5	504.040920698925	64.4590793010752
324	610.6	506.508662634409	104.091337365591
325	818	579.769274193548	238.230725806452
326	830.9	589.666048387097	241.233951612903
327	835.9	567.398306451613	268.501693548387
328	782	528.475725806451	253.524274193548
329	762.3	507.937016129032	254.362983870968
330	856.9	580.662822580645	276.237177419355
331	820.9	557.89185483871	263.00814516129
332	769.6	526.746693548387	242.853306451613
333	752.2	509.640241935484	242.559758064516
334	724.4	494.198306451613	230.201693548387
335	723.1	516.269274193548	206.830725806452
336	719.5	518.737016129032	200.762983870968
337	817.4	591.997627688172	225.402372311828
338	803.3	601.89440188172	201.405598118279
339	752.5	579.626659946237	172.873340053763
340	689	540.704079301075	148.295920698925
341	630.4	520.165369623656	110.234630376344
342	765.5	592.891176075269	172.608823924731
343	757.7	570.120208333333	187.579791666667
344	732.2	538.975047043011	193.224952956989
345	702.6	521.868595430107	180.731404569893
346	683.3	506.426659946236	176.873340053763
347	709.5	528.497627688172	181.002372311828
348	702.2	530.965369623656	171.234630376344
349	784.8	604.225981182796	180.574018817204
350	810.9	614.122755376344	196.777244623656
351	755.6	591.85501344086	163.74498655914
352	656.8	552.932432795699	103.867567204301
353	615.1	532.39372311828	82.7062768817204
354	745.3	605.119529569893	140.180470430107
355	694.1	582.348561827957	111.751438172043
356	675.7	551.203400537634	124.496599462366
357	643.7	534.096948924731	109.603051075269
358	622.1	518.65501344086	103.44498655914
359	634.6	540.725981182796	93.8740188172044
360	588	543.19372311828	44.8062768817205
361	689.7	616.45433467742	73.2456653225807
362	673.9	626.351108870968	47.5488911290322
363	647.9	604.083366935484	43.8166330645161
364	568.8	565.160786290323	3.6392137096774
365	545.7	544.622076612903	1.07792338709678
366	632.6	617.347883064516	15.2521169354839
367	643.8	594.57691532258	49.2230846774194
368	593.1	563.431754032258	29.668245967742
369	579.7	546.325302419355	33.3746975806452
370	546	530.883366935484	15.1166330645161
371	562.9	552.95433467742	9.94566532258058
372	572.5	555.422076612903	17.0779233870967

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 235.1 & 249.603729838709 & -14.5037298387093 \tabularnewline
2 & 280.7 & 259.500504032258 & 21.199495967742 \tabularnewline
3 & 264.6 & 237.232762096774 & 27.3672379032257 \tabularnewline
4 & 240.7 & 198.310181451613 & 42.389818548387 \tabularnewline
5 & 201.4 & 177.771471774194 & 23.6285282258065 \tabularnewline
6 & 240.8 & 250.497278225807 & -9.6972782258066 \tabularnewline
7 & 241.1 & 227.726310483871 & 13.3736895161289 \tabularnewline
8 & 223.8 & 196.581149193548 & 27.2188508064516 \tabularnewline
9 & 206.1 & 179.474697580645 & 26.6253024193549 \tabularnewline
10 & 174.7 & 164.032762096774 & 10.6672379032258 \tabularnewline
11 & 203.3 & 186.10372983871 & 17.1962701612903 \tabularnewline
12 & 220.5 & 188.571471774194 & 31.9285282258065 \tabularnewline
13 & 299.5 & 261.832083333333 & 37.6679166666668 \tabularnewline
14 & 347.4 & 271.728857526882 & 75.6711424731182 \tabularnewline
15 & 338.3 & 249.461115591398 & 88.8388844086022 \tabularnewline
16 & 327.7 & 210.538534946236 & 117.161465053763 \tabularnewline
17 & 351.6 & 189.999825268817 & 161.600174731183 \tabularnewline
18 & 396.6 & 262.72563172043 & 133.87436827957 \tabularnewline
19 & 438.8 & 239.954663978495 & 198.845336021505 \tabularnewline
20 & 395.6 & 208.809502688172 & 186.790497311828 \tabularnewline
21 & 363.5 & 191.703051075269 & 171.796948924731 \tabularnewline
22 & 378.8 & 176.261115591398 & 202.538884408602 \tabularnewline
23 & 357 & 198.332083333333 & 158.667916666667 \tabularnewline
24 & 369 & 200.799825268817 & 168.200174731183 \tabularnewline
25 & 464.8 & 274.060436827957 & 190.739563172043 \tabularnewline
26 & 479.1 & 283.957211021505 & 195.142788978495 \tabularnewline
27 & 431.3 & 261.689469086022 & 169.610530913979 \tabularnewline
28 & 366.5 & 222.76688844086 & 143.73311155914 \tabularnewline
29 & 326.3 & 202.228178763441 & 124.071821236559 \tabularnewline
30 & 355.1 & 274.953985215054 & 80.1460147849462 \tabularnewline
31 & 331.6 & 252.183017473118 & 79.4169825268817 \tabularnewline
32 & 261.3 & 221.037856182796 & 40.2621438172043 \tabularnewline
33 & 249 & 203.931404569892 & 45.0685954301075 \tabularnewline
34 & 205.5 & 188.489469086022 & 17.0105309139785 \tabularnewline
35 & 235.6 & 210.560436827957 & 25.039563172043 \tabularnewline
36 & 240.9 & 213.028178763441 & 27.8718212365591 \tabularnewline
37 & 264.9 & 286.288790322581 & -21.3887903225807 \tabularnewline
38 & 253.8 & 296.185564516129 & -42.3855645161291 \tabularnewline
39 & 232.3 & 273.917822580645 & -41.6178225806451 \tabularnewline
40 & 193.8 & 234.995241935484 & -41.1952419354838 \tabularnewline
41 & 177 & 214.456532258064 & -37.4565322580645 \tabularnewline
42 & 213.2 & 287.182338709677 & -73.9823387096774 \tabularnewline
43 & 207.2 & 264.411370967742 & -57.211370967742 \tabularnewline
44 & 180.6 & 233.266209677419 & -52.6662096774194 \tabularnewline
45 & 188.6 & 216.159758064516 & -27.5597580645162 \tabularnewline
46 & 175.4 & 200.717822580645 & -25.3178225806452 \tabularnewline
47 & 199 & 222.788790322581 & -23.7887903225807 \tabularnewline
48 & 179.6 & 225.256532258065 & -45.6565322580646 \tabularnewline
49 & 225.8 & 298.517143817204 & -72.7171438172043 \tabularnewline
50 & 234 & 308.413918010753 & -74.4139180107527 \tabularnewline
51 & 200.2 & 286.146176075269 & -85.9461760752688 \tabularnewline
52 & 183.6 & 247.223595430107 & -63.6235954301075 \tabularnewline
53 & 178.2 & 226.684885752688 & -48.4848857526882 \tabularnewline
54 & 203.2 & 299.410692204301 & -96.210692204301 \tabularnewline
55 & 208.5 & 276.639724462366 & -68.1397244623656 \tabularnewline
56 & 191.8 & 245.494563172043 & -53.694563172043 \tabularnewline
57 & 172.8 & 228.38811155914 & -55.5881115591398 \tabularnewline
58 & 148 & 212.946176075269 & -64.9461760752688 \tabularnewline
59 & 159.4 & 235.017143817204 & -75.6171438172043 \tabularnewline
60 & 154.5 & 237.484885752688 & -82.9848857526882 \tabularnewline
61 & 213.2 & 310.745497311828 & -97.545497311828 \tabularnewline
62 & 196.4 & 320.642271505376 & -124.242271505376 \tabularnewline
63 & 182.8 & 298.374529569892 & -115.574529569892 \tabularnewline
64 & 176.4 & 259.451948924731 & -83.0519489247311 \tabularnewline
65 & 153.6 & 238.913239247312 & -85.3132392473118 \tabularnewline
66 & 173.2 & 311.639045698925 & -138.439045698925 \tabularnewline
67 & 171 & 288.868077956989 & -117.868077956989 \tabularnewline
68 & 151.2 & 257.722916666667 & -106.522916666667 \tabularnewline
69 & 161.9 & 240.616465053763 & -78.7164650537635 \tabularnewline
70 & 157.2 & 225.174529569892 & -67.9745295698925 \tabularnewline
71 & 201.7 & 247.245497311828 & -45.545497311828 \tabularnewline
72 & 236.4 & 249.713239247312 & -13.3132392473118 \tabularnewline
73 & 356.1 & 322.973850806452 & 33.1261491935484 \tabularnewline
74 & 398.3 & 332.870625 & 65.429375 \tabularnewline
75 & 403.7 & 310.602883064516 & 93.0971169354839 \tabularnewline
76 & 384.6 & 271.680302419355 & 112.919697580645 \tabularnewline
77 & 365.8 & 251.141592741935 & 114.658407258065 \tabularnewline
78 & 368.1 & 323.867399193548 & 44.2326008064517 \tabularnewline
79 & 367.9 & 301.096431451613 & 66.8035685483871 \tabularnewline
80 & 347 & 269.95127016129 & 77.0487298387097 \tabularnewline
81 & 343.3 & 252.844818548387 & 90.4551814516129 \tabularnewline
82 & 292.9 & 237.402883064516 & 55.4971169354839 \tabularnewline
83 & 311.5 & 259.473850806452 & 52.0261491935484 \tabularnewline
84 & 300.9 & 261.941592741935 & 38.9584072580645 \tabularnewline
85 & 366.9 & 335.202204301075 & 31.6977956989247 \tabularnewline
86 & 356.9 & 345.098978494624 & 11.8010215053763 \tabularnewline
87 & 329.7 & 322.83123655914 & 6.86876344086024 \tabularnewline
88 & 316.2 & 283.908655913979 & 32.2913440860215 \tabularnewline
89 & 269 & 263.369946236559 & 5.63005376344091 \tabularnewline
90 & 289.3 & 336.095752688172 & -46.795752688172 \tabularnewline
91 & 266.2 & 313.324784946237 & -47.1247849462365 \tabularnewline
92 & 253.6 & 282.179623655914 & -28.579623655914 \tabularnewline
93 & 233.8 & 265.073172043011 & -31.2731720430107 \tabularnewline
94 & 228.4 & 249.63123655914 & -21.2312365591398 \tabularnewline
95 & 253.6 & 271.702204301075 & -18.1022043010753 \tabularnewline
96 & 260.1 & 274.169946236559 & -14.0699462365591 \tabularnewline
97 & 306.6 & 347.430557795699 & -40.8305577956989 \tabularnewline
98 & 309.2 & 357.327331989247 & -48.1273319892473 \tabularnewline
99 & 309.5 & 335.059590053763 & -25.5595900537634 \tabularnewline
100 & 271 & 296.137009408602 & -25.1370094086022 \tabularnewline
101 & 279.9 & 275.598299731183 & 4.30170026881722 \tabularnewline
102 & 317.9 & 348.324106182796 & -30.4241061827957 \tabularnewline
103 & 298.4 & 325.55313844086 & -27.1531384408602 \tabularnewline
104 & 246.7 & 294.407977150538 & -47.7079771505376 \tabularnewline
105 & 227.3 & 277.301525537634 & -50.0015255376344 \tabularnewline
106 & 209.1 & 261.859590053763 & -52.7595900537634 \tabularnewline
107 & 259.9 & 283.930557795699 & -24.0305577956989 \tabularnewline
108 & 266 & 286.398299731183 & -20.3982997311828 \tabularnewline
109 & 320.6 & 359.658911290323 & -39.0589112903226 \tabularnewline
110 & 308.5 & 369.555685483871 & -61.055685483871 \tabularnewline
111 & 282.2 & 347.287943548387 & -65.0879435483871 \tabularnewline
112 & 262.7 & 308.365362903226 & -45.6653629032258 \tabularnewline
113 & 263.5 & 287.826653225806 & -24.3266532258064 \tabularnewline
114 & 313.1 & 360.552459677419 & -47.4524596774193 \tabularnewline
115 & 284.3 & 337.781491935484 & -53.4814919354838 \tabularnewline
116 & 252.6 & 306.636330645161 & -54.0363306451613 \tabularnewline
117 & 250.3 & 289.529879032258 & -39.229879032258 \tabularnewline
118 & 246.5 & 274.087943548387 & -27.5879435483871 \tabularnewline
119 & 312.7 & 296.158911290323 & 16.5410887096774 \tabularnewline
120 & 333.2 & 298.626653225806 & 34.5733467741935 \tabularnewline
121 & 446.4 & 371.887264784946 & 74.5127352150537 \tabularnewline
122 & 511.6 & 381.784038978495 & 129.815961021505 \tabularnewline
123 & 515.5 & 359.516297043011 & 155.983702956989 \tabularnewline
124 & 506.4 & 320.59371639785 & 185.80628360215 \tabularnewline
125 & 483.2 & 300.05500672043 & 183.14499327957 \tabularnewline
126 & 522.3 & 372.780813172043 & 149.519186827957 \tabularnewline
127 & 509.8 & 350.009845430108 & 159.790154569892 \tabularnewline
128 & 460.7 & 318.864684139785 & 141.835315860215 \tabularnewline
129 & 405.8 & 301.758232526882 & 104.041767473118 \tabularnewline
130 & 375 & 286.316297043011 & 88.6837029569892 \tabularnewline
131 & 378.5 & 308.387264784946 & 70.1127352150537 \tabularnewline
132 & 406.8 & 310.85500672043 & 95.9449932795699 \tabularnewline
133 & 467.8 & 384.11561827957 & 83.68438172043 \tabularnewline
134 & 469.8 & 394.012392473118 & 75.7876075268817 \tabularnewline
135 & 429.8 & 371.744650537634 & 58.0553494623656 \tabularnewline
136 & 355.8 & 332.822069892473 & 22.9779301075269 \tabularnewline
137 & 332.7 & 312.283360215054 & 20.4166397849463 \tabularnewline
138 & 378 & 385.009166666667 & -7.00916666666668 \tabularnewline
139 & 360.5 & 362.238198924731 & -1.73819892473119 \tabularnewline
140 & 334.7 & 331.093037634409 & 3.60696236559135 \tabularnewline
141 & 319.5 & 313.986586021505 & 5.5134139784946 \tabularnewline
142 & 323.1 & 298.544650537634 & 24.5553494623656 \tabularnewline
143 & 363.6 & 320.61561827957 & 42.9843817204301 \tabularnewline
144 & 352.1 & 323.083360215054 & 29.0166397849462 \tabularnewline
145 & 411.9 & 396.343971774194 & 15.5560282258064 \tabularnewline
146 & 388.6 & 406.240745967742 & -17.6407459677419 \tabularnewline
147 & 416.4 & 383.973004032258 & 32.4269959677419 \tabularnewline
148 & 360.7 & 345.050423387097 & 15.6495766129032 \tabularnewline
149 & 338 & 324.511713709677 & 13.4882862903226 \tabularnewline
150 & 417.2 & 397.23752016129 & 19.9624798387097 \tabularnewline
151 & 388.4 & 374.466552419355 & 13.9334475806451 \tabularnewline
152 & 371.1 & 343.321391129032 & 27.7786088709677 \tabularnewline
153 & 331.5 & 326.214939516129 & 5.28506048387095 \tabularnewline
154 & 353.7 & 310.773004032258 & 42.9269959677419 \tabularnewline
155 & 396.7 & 332.843971774194 & 63.8560282258064 \tabularnewline
156 & 447 & 335.311713709677 & 111.688286290323 \tabularnewline
157 & 533.5 & 408.572325268817 & 124.927674731183 \tabularnewline
158 & 565.4 & 418.469099462366 & 146.930900537634 \tabularnewline
159 & 542.3 & 396.201357526882 & 146.098642473118 \tabularnewline
160 & 488.7 & 357.27877688172 & 131.42122311828 \tabularnewline
161 & 467.1 & 336.740067204301 & 130.359932795699 \tabularnewline
162 & 531.3 & 409.465873655914 & 121.834126344086 \tabularnewline
163 & 496.1 & 386.694905913979 & 109.405094086022 \tabularnewline
164 & 444 & 355.549744623656 & 88.450255376344 \tabularnewline
165 & 403.4 & 338.443293010753 & 64.9567069892473 \tabularnewline
166 & 386.3 & 323.001357526882 & 63.2986424731183 \tabularnewline
167 & 394.1 & 345.072325268817 & 49.0276747311828 \tabularnewline
168 & 404.1 & 347.540067204301 & 56.5599327956989 \tabularnewline
169 & 462.1 & 420.800678763441 & 41.2993212365591 \tabularnewline
170 & 448.1 & 430.697452956989 & 17.4025470430108 \tabularnewline
171 & 432.3 & 408.429711021505 & 23.8702889784946 \tabularnewline
172 & 386.3 & 369.507130376344 & 16.7928696236559 \tabularnewline
173 & 395.2 & 348.968420698925 & 46.2315793010753 \tabularnewline
174 & 421.9 & 421.694227150538 & 0.205772849462341 \tabularnewline
175 & 382.9 & 398.923259408602 & -16.0232594086022 \tabularnewline
176 & 384.2 & 367.77809811828 & 16.4219018817204 \tabularnewline
177 & 345.5 & 350.671646505376 & -5.17164650537637 \tabularnewline
178 & 323.4 & 335.229711021505 & -11.8297110215054 \tabularnewline
179 & 372.6 & 357.300678763441 & 15.2993212365591 \tabularnewline
180 & 376 & 359.768420698925 & 16.2315793010752 \tabularnewline
181 & 462.7 & 433.029032258065 & 29.6709677419354 \tabularnewline
182 & 487 & 442.925806451613 & 44.0741935483871 \tabularnewline
183 & 444.2 & 420.658064516129 & 23.541935483871 \tabularnewline
184 & 399.3 & 381.735483870968 & 17.5645161290323 \tabularnewline
185 & 394.9 & 361.196774193548 & 33.7032258064516 \tabularnewline
186 & 455.4 & 433.922580645161 & 21.4774193548387 \tabularnewline
187 & 414 & 411.151612903226 & 2.8483870967742 \tabularnewline
188 & 375.5 & 380.006451612903 & -4.50645161290326 \tabularnewline
189 & 347 & 362.9 & -15.9 \tabularnewline
190 & 339.4 & 347.458064516129 & -8.05806451612905 \tabularnewline
191 & 385.8 & 369.529032258065 & 16.2709677419355 \tabularnewline
192 & 378.8 & 371.996774193548 & 6.80322580645159 \tabularnewline
193 & 451.8 & 445.257385752688 & 6.5426142473118 \tabularnewline
194 & 446.1 & 455.154159946237 & -9.05415994623654 \tabularnewline
195 & 422.5 & 432.886418010753 & -10.3864180107527 \tabularnewline
196 & 383.1 & 393.963837365591 & -10.8638373655914 \tabularnewline
197 & 352.8 & 373.425127688172 & -20.625127688172 \tabularnewline
198 & 445.3 & 446.150934139785 & -0.85093413978494 \tabularnewline
199 & 367.5 & 423.379966397849 & -55.8799663978495 \tabularnewline
200 & 355.1 & 392.234805107527 & -37.1348051075269 \tabularnewline
201 & 326.2 & 375.128353494624 & -48.9283534946237 \tabularnewline
202 & 319.8 & 359.686418010753 & -39.8864180107527 \tabularnewline
203 & 331.8 & 381.757385752688 & -49.9573857526882 \tabularnewline
204 & 340.9 & 384.225127688172 & -43.3251276881721 \tabularnewline
205 & 394.1 & 457.485739247312 & -63.3857392473119 \tabularnewline
206 & 417.2 & 467.38251344086 & -50.1825134408602 \tabularnewline
207 & 369.9 & 445.114771505376 & -75.2147715053764 \tabularnewline
208 & 349.2 & 406.192190860215 & -56.9921908602151 \tabularnewline
209 & 321.4 & 385.653481182796 & -64.2534811827957 \tabularnewline
210 & 405.7 & 458.379287634409 & -52.6792876344086 \tabularnewline
211 & 342.9 & 435.608319892473 & -92.7083198924732 \tabularnewline
212 & 316.5 & 404.463158602151 & -87.9631586021506 \tabularnewline
213 & 284.2 & 387.356706989247 & -103.156706989247 \tabularnewline
214 & 270.9 & 371.914771505376 & -101.014771505376 \tabularnewline
215 & 288.8 & 393.985739247312 & -105.185739247312 \tabularnewline
216 & 278.8 & 396.453481182796 & -117.653481182796 \tabularnewline
217 & 324.4 & 469.714092741935 & -145.314092741936 \tabularnewline
218 & 310.9 & 479.610866935484 & -168.710866935484 \tabularnewline
219 & 299 & 457.343125 & -158.343125 \tabularnewline
220 & 273 & 418.420544354839 & -145.420544354839 \tabularnewline
221 & 279.3 & 397.881834677419 & -118.581834677419 \tabularnewline
222 & 359.2 & 470.607641129032 & -111.407641129032 \tabularnewline
223 & 305 & 447.836673387097 & -142.836673387097 \tabularnewline
224 & 282.1 & 416.691512096774 & -134.591512096774 \tabularnewline
225 & 250.3 & 399.585060483871 & -149.285060483871 \tabularnewline
226 & 246.5 & 384.143125 & -137.643125 \tabularnewline
227 & 257.9 & 406.214092741935 & -148.314092741935 \tabularnewline
228 & 266.5 & 408.681834677419 & -142.181834677419 \tabularnewline
229 & 315.9 & 481.942446236559 & -166.042446236559 \tabularnewline
230 & 318.4 & 491.839220430108 & -173.439220430107 \tabularnewline
231 & 295.4 & 469.571478494624 & -174.171478494624 \tabularnewline
232 & 266.4 & 430.648897849462 & -164.248897849462 \tabularnewline
233 & 245.8 & 410.110188172043 & -164.310188172043 \tabularnewline
234 & 362.8 & 482.835994623656 & -120.035994623656 \tabularnewline
235 & 324.9 & 460.06502688172 & -135.16502688172 \tabularnewline
236 & 294.2 & 428.919865591398 & -134.719865591398 \tabularnewline
237 & 289.5 & 411.813413978495 & -122.313413978495 \tabularnewline
238 & 295.2 & 396.371478494624 & -101.171478494624 \tabularnewline
239 & 290.3 & 418.442446236559 & -128.142446236559 \tabularnewline
240 & 272 & 420.910188172043 & -148.910188172043 \tabularnewline
241 & 307.4 & 494.170799731183 & -186.770799731183 \tabularnewline
242 & 328.7 & 504.067573924731 & -175.367573924731 \tabularnewline
243 & 292.9 & 481.799831989247 & -188.899831989247 \tabularnewline
244 & 249.1 & 442.877251344086 & -193.777251344086 \tabularnewline
245 & 230.4 & 422.338541666667 & -191.938541666667 \tabularnewline
246 & 361.5 & 495.06434811828 & -133.56434811828 \tabularnewline
247 & 321.7 & 472.293380376344 & -150.593380376344 \tabularnewline
248 & 277.2 & 441.148219086022 & -163.948219086022 \tabularnewline
249 & 260.7 & 424.041767473118 & -163.341767473118 \tabularnewline
250 & 251 & 408.599831989247 & -157.599831989247 \tabularnewline
251 & 257.6 & 430.670799731183 & -173.070799731183 \tabularnewline
252 & 241.8 & 433.138541666667 & -191.338541666667 \tabularnewline
253 & 287.5 & 506.399153225806 & -218.899153225806 \tabularnewline
254 & 292.3 & 516.295927419355 & -223.995927419355 \tabularnewline
255 & 274.7 & 494.028185483871 & -219.328185483871 \tabularnewline
256 & 254.2 & 455.10560483871 & -200.90560483871 \tabularnewline
257 & 230 & 434.56689516129 & -204.56689516129 \tabularnewline
258 & 339 & 507.292701612903 & -168.292701612903 \tabularnewline
259 & 318.2 & 484.521733870968 & -166.321733870968 \tabularnewline
260 & 287 & 453.376572580645 & -166.376572580645 \tabularnewline
261 & 295.8 & 436.270120967742 & -140.470120967742 \tabularnewline
262 & 284 & 420.828185483871 & -136.828185483871 \tabularnewline
263 & 271 & 442.899153225806 & -171.899153225806 \tabularnewline
264 & 262.7 & 445.36689516129 & -182.66689516129 \tabularnewline
265 & 340.6 & 518.62750672043 & -178.02750672043 \tabularnewline
266 & 379.4 & 528.524280913978 & -149.124280913979 \tabularnewline
267 & 373.3 & 506.256538978495 & -132.956538978495 \tabularnewline
268 & 355.2 & 467.333958333333 & -112.133958333333 \tabularnewline
269 & 338.4 & 446.795248655914 & -108.395248655914 \tabularnewline
270 & 466.9 & 519.521055107527 & -52.6210551075269 \tabularnewline
271 & 451 & 496.750087365591 & -45.7500873655914 \tabularnewline
272 & 422 & 465.604926075269 & -43.6049260752688 \tabularnewline
273 & 429.2 & 448.498474462366 & -19.2984744623656 \tabularnewline
274 & 425.9 & 433.056538978495 & -7.15653897849465 \tabularnewline
275 & 460.7 & 455.12750672043 & 5.57249327956986 \tabularnewline
276 & 463.6 & 457.595248655914 & 6.00475134408602 \tabularnewline
277 & 541.4 & 530.855860215054 & 10.5441397849462 \tabularnewline
278 & 544.2 & 540.752634408602 & 3.44736559139788 \tabularnewline
279 & 517.5 & 518.484892473118 & -0.984892473118272 \tabularnewline
280 & 469.4 & 479.562311827957 & -10.162311827957 \tabularnewline
281 & 439.4 & 459.023602150538 & -19.6236021505376 \tabularnewline
282 & 549 & 531.749408602151 & 17.2505913978495 \tabularnewline
283 & 533 & 508.978440860215 & 24.021559139785 \tabularnewline
284 & 506.1 & 477.833279569893 & 28.2667204301075 \tabularnewline
285 & 484 & 460.726827956989 & 23.2731720430108 \tabularnewline
286 & 457 & 445.284892473118 & 11.7151075268817 \tabularnewline
287 & 481.5 & 467.355860215054 & 14.1441397849462 \tabularnewline
288 & 469.5 & 469.823602150538 & -0.323602150537605 \tabularnewline
289 & 544.7 & 543.084213709677 & 1.61578629032258 \tabularnewline
290 & 541.2 & 552.980987903226 & -11.7809879032258 \tabularnewline
291 & 521.5 & 530.713245967742 & -9.21324596774194 \tabularnewline
292 & 469.7 & 491.790665322581 & -22.0906653225807 \tabularnewline
293 & 434.4 & 471.251955645161 & -36.8519556451613 \tabularnewline
294 & 542.6 & 543.977762096774 & -1.37776209677414 \tabularnewline
295 & 517.3 & 521.206794354839 & -3.90679435483875 \tabularnewline
296 & 485.7 & 490.061633064516 & -4.36163306451613 \tabularnewline
297 & 465.8 & 472.955181451613 & -7.15518145161287 \tabularnewline
298 & 447 & 457.513245967742 & -10.5132459677419 \tabularnewline
299 & 426.6 & 479.584213709677 & -52.9842137096774 \tabularnewline
300 & 411.6 & 482.051955645161 & -70.4519556451612 \tabularnewline
301 & 467.5 & 555.312567204301 & -87.812567204301 \tabularnewline
302 & 484.5 & 565.209341397849 & -80.7093413978495 \tabularnewline
303 & 451.2 & 542.941599462366 & -91.7415994623656 \tabularnewline
304 & 417.4 & 504.019018817204 & -86.6190188172043 \tabularnewline
305 & 379.9 & 483.480309139785 & -103.580309139785 \tabularnewline
306 & 484.7 & 556.206115591398 & -71.5061155913979 \tabularnewline
307 & 455 & 533.435147849462 & -78.4351478494624 \tabularnewline
308 & 420.8 & 502.28998655914 & -81.4899865591398 \tabularnewline
309 & 416.5 & 485.183534946237 & -68.6835349462366 \tabularnewline
310 & 376.3 & 469.741599462366 & -93.4415994623656 \tabularnewline
311 & 405.6 & 491.812567204301 & -86.212567204301 \tabularnewline
312 & 405.8 & 494.280309139785 & -88.480309139785 \tabularnewline
313 & 500.8 & 567.540920698925 & -66.7409206989248 \tabularnewline
314 & 514 & 577.437694892473 & -63.4376948924732 \tabularnewline
315 & 475.5 & 555.169952956989 & -79.6699529569893 \tabularnewline
316 & 430.1 & 516.247372311828 & -86.147372311828 \tabularnewline
317 & 414.4 & 495.708662634409 & -81.3086626344087 \tabularnewline
318 & 538 & 568.434469086022 & -30.4344690860216 \tabularnewline
319 & 526 & 545.663501344086 & -19.6635013440861 \tabularnewline
320 & 488.5 & 514.518340053763 & -26.0183400537634 \tabularnewline
321 & 520.2 & 497.41188844086 & 22.7881115591398 \tabularnewline
322 & 504.4 & 481.969952956989 & 22.4300470430107 \tabularnewline
323 & 568.5 & 504.040920698925 & 64.4590793010752 \tabularnewline
324 & 610.6 & 506.508662634409 & 104.091337365591 \tabularnewline
325 & 818 & 579.769274193548 & 238.230725806452 \tabularnewline
326 & 830.9 & 589.666048387097 & 241.233951612903 \tabularnewline
327 & 835.9 & 567.398306451613 & 268.501693548387 \tabularnewline
328 & 782 & 528.475725806451 & 253.524274193548 \tabularnewline
329 & 762.3 & 507.937016129032 & 254.362983870968 \tabularnewline
330 & 856.9 & 580.662822580645 & 276.237177419355 \tabularnewline
331 & 820.9 & 557.89185483871 & 263.00814516129 \tabularnewline
332 & 769.6 & 526.746693548387 & 242.853306451613 \tabularnewline
333 & 752.2 & 509.640241935484 & 242.559758064516 \tabularnewline
334 & 724.4 & 494.198306451613 & 230.201693548387 \tabularnewline
335 & 723.1 & 516.269274193548 & 206.830725806452 \tabularnewline
336 & 719.5 & 518.737016129032 & 200.762983870968 \tabularnewline
337 & 817.4 & 591.997627688172 & 225.402372311828 \tabularnewline
338 & 803.3 & 601.89440188172 & 201.405598118279 \tabularnewline
339 & 752.5 & 579.626659946237 & 172.873340053763 \tabularnewline
340 & 689 & 540.704079301075 & 148.295920698925 \tabularnewline
341 & 630.4 & 520.165369623656 & 110.234630376344 \tabularnewline
342 & 765.5 & 592.891176075269 & 172.608823924731 \tabularnewline
343 & 757.7 & 570.120208333333 & 187.579791666667 \tabularnewline
344 & 732.2 & 538.975047043011 & 193.224952956989 \tabularnewline
345 & 702.6 & 521.868595430107 & 180.731404569893 \tabularnewline
346 & 683.3 & 506.426659946236 & 176.873340053763 \tabularnewline
347 & 709.5 & 528.497627688172 & 181.002372311828 \tabularnewline
348 & 702.2 & 530.965369623656 & 171.234630376344 \tabularnewline
349 & 784.8 & 604.225981182796 & 180.574018817204 \tabularnewline
350 & 810.9 & 614.122755376344 & 196.777244623656 \tabularnewline
351 & 755.6 & 591.85501344086 & 163.74498655914 \tabularnewline
352 & 656.8 & 552.932432795699 & 103.867567204301 \tabularnewline
353 & 615.1 & 532.39372311828 & 82.7062768817204 \tabularnewline
354 & 745.3 & 605.119529569893 & 140.180470430107 \tabularnewline
355 & 694.1 & 582.348561827957 & 111.751438172043 \tabularnewline
356 & 675.7 & 551.203400537634 & 124.496599462366 \tabularnewline
357 & 643.7 & 534.096948924731 & 109.603051075269 \tabularnewline
358 & 622.1 & 518.65501344086 & 103.44498655914 \tabularnewline
359 & 634.6 & 540.725981182796 & 93.8740188172044 \tabularnewline
360 & 588 & 543.19372311828 & 44.8062768817205 \tabularnewline
361 & 689.7 & 616.45433467742 & 73.2456653225807 \tabularnewline
362 & 673.9 & 626.351108870968 & 47.5488911290322 \tabularnewline
363 & 647.9 & 604.083366935484 & 43.8166330645161 \tabularnewline
364 & 568.8 & 565.160786290323 & 3.6392137096774 \tabularnewline
365 & 545.7 & 544.622076612903 & 1.07792338709678 \tabularnewline
366 & 632.6 & 617.347883064516 & 15.2521169354839 \tabularnewline
367 & 643.8 & 594.57691532258 & 49.2230846774194 \tabularnewline
368 & 593.1 & 563.431754032258 & 29.668245967742 \tabularnewline
369 & 579.7 & 546.325302419355 & 33.3746975806452 \tabularnewline
370 & 546 & 530.883366935484 & 15.1166330645161 \tabularnewline
371 & 562.9 & 552.95433467742 & 9.94566532258058 \tabularnewline
372 & 572.5 & 555.422076612903 & 17.0779233870967 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147284&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]235.1[/C][C]249.603729838709[/C][C]-14.5037298387093[/C][/ROW]
[ROW][C]2[/C][C]280.7[/C][C]259.500504032258[/C][C]21.199495967742[/C][/ROW]
[ROW][C]3[/C][C]264.6[/C][C]237.232762096774[/C][C]27.3672379032257[/C][/ROW]
[ROW][C]4[/C][C]240.7[/C][C]198.310181451613[/C][C]42.389818548387[/C][/ROW]
[ROW][C]5[/C][C]201.4[/C][C]177.771471774194[/C][C]23.6285282258065[/C][/ROW]
[ROW][C]6[/C][C]240.8[/C][C]250.497278225807[/C][C]-9.6972782258066[/C][/ROW]
[ROW][C]7[/C][C]241.1[/C][C]227.726310483871[/C][C]13.3736895161289[/C][/ROW]
[ROW][C]8[/C][C]223.8[/C][C]196.581149193548[/C][C]27.2188508064516[/C][/ROW]
[ROW][C]9[/C][C]206.1[/C][C]179.474697580645[/C][C]26.6253024193549[/C][/ROW]
[ROW][C]10[/C][C]174.7[/C][C]164.032762096774[/C][C]10.6672379032258[/C][/ROW]
[ROW][C]11[/C][C]203.3[/C][C]186.10372983871[/C][C]17.1962701612903[/C][/ROW]
[ROW][C]12[/C][C]220.5[/C][C]188.571471774194[/C][C]31.9285282258065[/C][/ROW]
[ROW][C]13[/C][C]299.5[/C][C]261.832083333333[/C][C]37.6679166666668[/C][/ROW]
[ROW][C]14[/C][C]347.4[/C][C]271.728857526882[/C][C]75.6711424731182[/C][/ROW]
[ROW][C]15[/C][C]338.3[/C][C]249.461115591398[/C][C]88.8388844086022[/C][/ROW]
[ROW][C]16[/C][C]327.7[/C][C]210.538534946236[/C][C]117.161465053763[/C][/ROW]
[ROW][C]17[/C][C]351.6[/C][C]189.999825268817[/C][C]161.600174731183[/C][/ROW]
[ROW][C]18[/C][C]396.6[/C][C]262.72563172043[/C][C]133.87436827957[/C][/ROW]
[ROW][C]19[/C][C]438.8[/C][C]239.954663978495[/C][C]198.845336021505[/C][/ROW]
[ROW][C]20[/C][C]395.6[/C][C]208.809502688172[/C][C]186.790497311828[/C][/ROW]
[ROW][C]21[/C][C]363.5[/C][C]191.703051075269[/C][C]171.796948924731[/C][/ROW]
[ROW][C]22[/C][C]378.8[/C][C]176.261115591398[/C][C]202.538884408602[/C][/ROW]
[ROW][C]23[/C][C]357[/C][C]198.332083333333[/C][C]158.667916666667[/C][/ROW]
[ROW][C]24[/C][C]369[/C][C]200.799825268817[/C][C]168.200174731183[/C][/ROW]
[ROW][C]25[/C][C]464.8[/C][C]274.060436827957[/C][C]190.739563172043[/C][/ROW]
[ROW][C]26[/C][C]479.1[/C][C]283.957211021505[/C][C]195.142788978495[/C][/ROW]
[ROW][C]27[/C][C]431.3[/C][C]261.689469086022[/C][C]169.610530913979[/C][/ROW]
[ROW][C]28[/C][C]366.5[/C][C]222.76688844086[/C][C]143.73311155914[/C][/ROW]
[ROW][C]29[/C][C]326.3[/C][C]202.228178763441[/C][C]124.071821236559[/C][/ROW]
[ROW][C]30[/C][C]355.1[/C][C]274.953985215054[/C][C]80.1460147849462[/C][/ROW]
[ROW][C]31[/C][C]331.6[/C][C]252.183017473118[/C][C]79.4169825268817[/C][/ROW]
[ROW][C]32[/C][C]261.3[/C][C]221.037856182796[/C][C]40.2621438172043[/C][/ROW]
[ROW][C]33[/C][C]249[/C][C]203.931404569892[/C][C]45.0685954301075[/C][/ROW]
[ROW][C]34[/C][C]205.5[/C][C]188.489469086022[/C][C]17.0105309139785[/C][/ROW]
[ROW][C]35[/C][C]235.6[/C][C]210.560436827957[/C][C]25.039563172043[/C][/ROW]
[ROW][C]36[/C][C]240.9[/C][C]213.028178763441[/C][C]27.8718212365591[/C][/ROW]
[ROW][C]37[/C][C]264.9[/C][C]286.288790322581[/C][C]-21.3887903225807[/C][/ROW]
[ROW][C]38[/C][C]253.8[/C][C]296.185564516129[/C][C]-42.3855645161291[/C][/ROW]
[ROW][C]39[/C][C]232.3[/C][C]273.917822580645[/C][C]-41.6178225806451[/C][/ROW]
[ROW][C]40[/C][C]193.8[/C][C]234.995241935484[/C][C]-41.1952419354838[/C][/ROW]
[ROW][C]41[/C][C]177[/C][C]214.456532258064[/C][C]-37.4565322580645[/C][/ROW]
[ROW][C]42[/C][C]213.2[/C][C]287.182338709677[/C][C]-73.9823387096774[/C][/ROW]
[ROW][C]43[/C][C]207.2[/C][C]264.411370967742[/C][C]-57.211370967742[/C][/ROW]
[ROW][C]44[/C][C]180.6[/C][C]233.266209677419[/C][C]-52.6662096774194[/C][/ROW]
[ROW][C]45[/C][C]188.6[/C][C]216.159758064516[/C][C]-27.5597580645162[/C][/ROW]
[ROW][C]46[/C][C]175.4[/C][C]200.717822580645[/C][C]-25.3178225806452[/C][/ROW]
[ROW][C]47[/C][C]199[/C][C]222.788790322581[/C][C]-23.7887903225807[/C][/ROW]
[ROW][C]48[/C][C]179.6[/C][C]225.256532258065[/C][C]-45.6565322580646[/C][/ROW]
[ROW][C]49[/C][C]225.8[/C][C]298.517143817204[/C][C]-72.7171438172043[/C][/ROW]
[ROW][C]50[/C][C]234[/C][C]308.413918010753[/C][C]-74.4139180107527[/C][/ROW]
[ROW][C]51[/C][C]200.2[/C][C]286.146176075269[/C][C]-85.9461760752688[/C][/ROW]
[ROW][C]52[/C][C]183.6[/C][C]247.223595430107[/C][C]-63.6235954301075[/C][/ROW]
[ROW][C]53[/C][C]178.2[/C][C]226.684885752688[/C][C]-48.4848857526882[/C][/ROW]
[ROW][C]54[/C][C]203.2[/C][C]299.410692204301[/C][C]-96.210692204301[/C][/ROW]
[ROW][C]55[/C][C]208.5[/C][C]276.639724462366[/C][C]-68.1397244623656[/C][/ROW]
[ROW][C]56[/C][C]191.8[/C][C]245.494563172043[/C][C]-53.694563172043[/C][/ROW]
[ROW][C]57[/C][C]172.8[/C][C]228.38811155914[/C][C]-55.5881115591398[/C][/ROW]
[ROW][C]58[/C][C]148[/C][C]212.946176075269[/C][C]-64.9461760752688[/C][/ROW]
[ROW][C]59[/C][C]159.4[/C][C]235.017143817204[/C][C]-75.6171438172043[/C][/ROW]
[ROW][C]60[/C][C]154.5[/C][C]237.484885752688[/C][C]-82.9848857526882[/C][/ROW]
[ROW][C]61[/C][C]213.2[/C][C]310.745497311828[/C][C]-97.545497311828[/C][/ROW]
[ROW][C]62[/C][C]196.4[/C][C]320.642271505376[/C][C]-124.242271505376[/C][/ROW]
[ROW][C]63[/C][C]182.8[/C][C]298.374529569892[/C][C]-115.574529569892[/C][/ROW]
[ROW][C]64[/C][C]176.4[/C][C]259.451948924731[/C][C]-83.0519489247311[/C][/ROW]
[ROW][C]65[/C][C]153.6[/C][C]238.913239247312[/C][C]-85.3132392473118[/C][/ROW]
[ROW][C]66[/C][C]173.2[/C][C]311.639045698925[/C][C]-138.439045698925[/C][/ROW]
[ROW][C]67[/C][C]171[/C][C]288.868077956989[/C][C]-117.868077956989[/C][/ROW]
[ROW][C]68[/C][C]151.2[/C][C]257.722916666667[/C][C]-106.522916666667[/C][/ROW]
[ROW][C]69[/C][C]161.9[/C][C]240.616465053763[/C][C]-78.7164650537635[/C][/ROW]
[ROW][C]70[/C][C]157.2[/C][C]225.174529569892[/C][C]-67.9745295698925[/C][/ROW]
[ROW][C]71[/C][C]201.7[/C][C]247.245497311828[/C][C]-45.545497311828[/C][/ROW]
[ROW][C]72[/C][C]236.4[/C][C]249.713239247312[/C][C]-13.3132392473118[/C][/ROW]
[ROW][C]73[/C][C]356.1[/C][C]322.973850806452[/C][C]33.1261491935484[/C][/ROW]
[ROW][C]74[/C][C]398.3[/C][C]332.870625[/C][C]65.429375[/C][/ROW]
[ROW][C]75[/C][C]403.7[/C][C]310.602883064516[/C][C]93.0971169354839[/C][/ROW]
[ROW][C]76[/C][C]384.6[/C][C]271.680302419355[/C][C]112.919697580645[/C][/ROW]
[ROW][C]77[/C][C]365.8[/C][C]251.141592741935[/C][C]114.658407258065[/C][/ROW]
[ROW][C]78[/C][C]368.1[/C][C]323.867399193548[/C][C]44.2326008064517[/C][/ROW]
[ROW][C]79[/C][C]367.9[/C][C]301.096431451613[/C][C]66.8035685483871[/C][/ROW]
[ROW][C]80[/C][C]347[/C][C]269.95127016129[/C][C]77.0487298387097[/C][/ROW]
[ROW][C]81[/C][C]343.3[/C][C]252.844818548387[/C][C]90.4551814516129[/C][/ROW]
[ROW][C]82[/C][C]292.9[/C][C]237.402883064516[/C][C]55.4971169354839[/C][/ROW]
[ROW][C]83[/C][C]311.5[/C][C]259.473850806452[/C][C]52.0261491935484[/C][/ROW]
[ROW][C]84[/C][C]300.9[/C][C]261.941592741935[/C][C]38.9584072580645[/C][/ROW]
[ROW][C]85[/C][C]366.9[/C][C]335.202204301075[/C][C]31.6977956989247[/C][/ROW]
[ROW][C]86[/C][C]356.9[/C][C]345.098978494624[/C][C]11.8010215053763[/C][/ROW]
[ROW][C]87[/C][C]329.7[/C][C]322.83123655914[/C][C]6.86876344086024[/C][/ROW]
[ROW][C]88[/C][C]316.2[/C][C]283.908655913979[/C][C]32.2913440860215[/C][/ROW]
[ROW][C]89[/C][C]269[/C][C]263.369946236559[/C][C]5.63005376344091[/C][/ROW]
[ROW][C]90[/C][C]289.3[/C][C]336.095752688172[/C][C]-46.795752688172[/C][/ROW]
[ROW][C]91[/C][C]266.2[/C][C]313.324784946237[/C][C]-47.1247849462365[/C][/ROW]
[ROW][C]92[/C][C]253.6[/C][C]282.179623655914[/C][C]-28.579623655914[/C][/ROW]
[ROW][C]93[/C][C]233.8[/C][C]265.073172043011[/C][C]-31.2731720430107[/C][/ROW]
[ROW][C]94[/C][C]228.4[/C][C]249.63123655914[/C][C]-21.2312365591398[/C][/ROW]
[ROW][C]95[/C][C]253.6[/C][C]271.702204301075[/C][C]-18.1022043010753[/C][/ROW]
[ROW][C]96[/C][C]260.1[/C][C]274.169946236559[/C][C]-14.0699462365591[/C][/ROW]
[ROW][C]97[/C][C]306.6[/C][C]347.430557795699[/C][C]-40.8305577956989[/C][/ROW]
[ROW][C]98[/C][C]309.2[/C][C]357.327331989247[/C][C]-48.1273319892473[/C][/ROW]
[ROW][C]99[/C][C]309.5[/C][C]335.059590053763[/C][C]-25.5595900537634[/C][/ROW]
[ROW][C]100[/C][C]271[/C][C]296.137009408602[/C][C]-25.1370094086022[/C][/ROW]
[ROW][C]101[/C][C]279.9[/C][C]275.598299731183[/C][C]4.30170026881722[/C][/ROW]
[ROW][C]102[/C][C]317.9[/C][C]348.324106182796[/C][C]-30.4241061827957[/C][/ROW]
[ROW][C]103[/C][C]298.4[/C][C]325.55313844086[/C][C]-27.1531384408602[/C][/ROW]
[ROW][C]104[/C][C]246.7[/C][C]294.407977150538[/C][C]-47.7079771505376[/C][/ROW]
[ROW][C]105[/C][C]227.3[/C][C]277.301525537634[/C][C]-50.0015255376344[/C][/ROW]
[ROW][C]106[/C][C]209.1[/C][C]261.859590053763[/C][C]-52.7595900537634[/C][/ROW]
[ROW][C]107[/C][C]259.9[/C][C]283.930557795699[/C][C]-24.0305577956989[/C][/ROW]
[ROW][C]108[/C][C]266[/C][C]286.398299731183[/C][C]-20.3982997311828[/C][/ROW]
[ROW][C]109[/C][C]320.6[/C][C]359.658911290323[/C][C]-39.0589112903226[/C][/ROW]
[ROW][C]110[/C][C]308.5[/C][C]369.555685483871[/C][C]-61.055685483871[/C][/ROW]
[ROW][C]111[/C][C]282.2[/C][C]347.287943548387[/C][C]-65.0879435483871[/C][/ROW]
[ROW][C]112[/C][C]262.7[/C][C]308.365362903226[/C][C]-45.6653629032258[/C][/ROW]
[ROW][C]113[/C][C]263.5[/C][C]287.826653225806[/C][C]-24.3266532258064[/C][/ROW]
[ROW][C]114[/C][C]313.1[/C][C]360.552459677419[/C][C]-47.4524596774193[/C][/ROW]
[ROW][C]115[/C][C]284.3[/C][C]337.781491935484[/C][C]-53.4814919354838[/C][/ROW]
[ROW][C]116[/C][C]252.6[/C][C]306.636330645161[/C][C]-54.0363306451613[/C][/ROW]
[ROW][C]117[/C][C]250.3[/C][C]289.529879032258[/C][C]-39.229879032258[/C][/ROW]
[ROW][C]118[/C][C]246.5[/C][C]274.087943548387[/C][C]-27.5879435483871[/C][/ROW]
[ROW][C]119[/C][C]312.7[/C][C]296.158911290323[/C][C]16.5410887096774[/C][/ROW]
[ROW][C]120[/C][C]333.2[/C][C]298.626653225806[/C][C]34.5733467741935[/C][/ROW]
[ROW][C]121[/C][C]446.4[/C][C]371.887264784946[/C][C]74.5127352150537[/C][/ROW]
[ROW][C]122[/C][C]511.6[/C][C]381.784038978495[/C][C]129.815961021505[/C][/ROW]
[ROW][C]123[/C][C]515.5[/C][C]359.516297043011[/C][C]155.983702956989[/C][/ROW]
[ROW][C]124[/C][C]506.4[/C][C]320.59371639785[/C][C]185.80628360215[/C][/ROW]
[ROW][C]125[/C][C]483.2[/C][C]300.05500672043[/C][C]183.14499327957[/C][/ROW]
[ROW][C]126[/C][C]522.3[/C][C]372.780813172043[/C][C]149.519186827957[/C][/ROW]
[ROW][C]127[/C][C]509.8[/C][C]350.009845430108[/C][C]159.790154569892[/C][/ROW]
[ROW][C]128[/C][C]460.7[/C][C]318.864684139785[/C][C]141.835315860215[/C][/ROW]
[ROW][C]129[/C][C]405.8[/C][C]301.758232526882[/C][C]104.041767473118[/C][/ROW]
[ROW][C]130[/C][C]375[/C][C]286.316297043011[/C][C]88.6837029569892[/C][/ROW]
[ROW][C]131[/C][C]378.5[/C][C]308.387264784946[/C][C]70.1127352150537[/C][/ROW]
[ROW][C]132[/C][C]406.8[/C][C]310.85500672043[/C][C]95.9449932795699[/C][/ROW]
[ROW][C]133[/C][C]467.8[/C][C]384.11561827957[/C][C]83.68438172043[/C][/ROW]
[ROW][C]134[/C][C]469.8[/C][C]394.012392473118[/C][C]75.7876075268817[/C][/ROW]
[ROW][C]135[/C][C]429.8[/C][C]371.744650537634[/C][C]58.0553494623656[/C][/ROW]
[ROW][C]136[/C][C]355.8[/C][C]332.822069892473[/C][C]22.9779301075269[/C][/ROW]
[ROW][C]137[/C][C]332.7[/C][C]312.283360215054[/C][C]20.4166397849463[/C][/ROW]
[ROW][C]138[/C][C]378[/C][C]385.009166666667[/C][C]-7.00916666666668[/C][/ROW]
[ROW][C]139[/C][C]360.5[/C][C]362.238198924731[/C][C]-1.73819892473119[/C][/ROW]
[ROW][C]140[/C][C]334.7[/C][C]331.093037634409[/C][C]3.60696236559135[/C][/ROW]
[ROW][C]141[/C][C]319.5[/C][C]313.986586021505[/C][C]5.5134139784946[/C][/ROW]
[ROW][C]142[/C][C]323.1[/C][C]298.544650537634[/C][C]24.5553494623656[/C][/ROW]
[ROW][C]143[/C][C]363.6[/C][C]320.61561827957[/C][C]42.9843817204301[/C][/ROW]
[ROW][C]144[/C][C]352.1[/C][C]323.083360215054[/C][C]29.0166397849462[/C][/ROW]
[ROW][C]145[/C][C]411.9[/C][C]396.343971774194[/C][C]15.5560282258064[/C][/ROW]
[ROW][C]146[/C][C]388.6[/C][C]406.240745967742[/C][C]-17.6407459677419[/C][/ROW]
[ROW][C]147[/C][C]416.4[/C][C]383.973004032258[/C][C]32.4269959677419[/C][/ROW]
[ROW][C]148[/C][C]360.7[/C][C]345.050423387097[/C][C]15.6495766129032[/C][/ROW]
[ROW][C]149[/C][C]338[/C][C]324.511713709677[/C][C]13.4882862903226[/C][/ROW]
[ROW][C]150[/C][C]417.2[/C][C]397.23752016129[/C][C]19.9624798387097[/C][/ROW]
[ROW][C]151[/C][C]388.4[/C][C]374.466552419355[/C][C]13.9334475806451[/C][/ROW]
[ROW][C]152[/C][C]371.1[/C][C]343.321391129032[/C][C]27.7786088709677[/C][/ROW]
[ROW][C]153[/C][C]331.5[/C][C]326.214939516129[/C][C]5.28506048387095[/C][/ROW]
[ROW][C]154[/C][C]353.7[/C][C]310.773004032258[/C][C]42.9269959677419[/C][/ROW]
[ROW][C]155[/C][C]396.7[/C][C]332.843971774194[/C][C]63.8560282258064[/C][/ROW]
[ROW][C]156[/C][C]447[/C][C]335.311713709677[/C][C]111.688286290323[/C][/ROW]
[ROW][C]157[/C][C]533.5[/C][C]408.572325268817[/C][C]124.927674731183[/C][/ROW]
[ROW][C]158[/C][C]565.4[/C][C]418.469099462366[/C][C]146.930900537634[/C][/ROW]
[ROW][C]159[/C][C]542.3[/C][C]396.201357526882[/C][C]146.098642473118[/C][/ROW]
[ROW][C]160[/C][C]488.7[/C][C]357.27877688172[/C][C]131.42122311828[/C][/ROW]
[ROW][C]161[/C][C]467.1[/C][C]336.740067204301[/C][C]130.359932795699[/C][/ROW]
[ROW][C]162[/C][C]531.3[/C][C]409.465873655914[/C][C]121.834126344086[/C][/ROW]
[ROW][C]163[/C][C]496.1[/C][C]386.694905913979[/C][C]109.405094086022[/C][/ROW]
[ROW][C]164[/C][C]444[/C][C]355.549744623656[/C][C]88.450255376344[/C][/ROW]
[ROW][C]165[/C][C]403.4[/C][C]338.443293010753[/C][C]64.9567069892473[/C][/ROW]
[ROW][C]166[/C][C]386.3[/C][C]323.001357526882[/C][C]63.2986424731183[/C][/ROW]
[ROW][C]167[/C][C]394.1[/C][C]345.072325268817[/C][C]49.0276747311828[/C][/ROW]
[ROW][C]168[/C][C]404.1[/C][C]347.540067204301[/C][C]56.5599327956989[/C][/ROW]
[ROW][C]169[/C][C]462.1[/C][C]420.800678763441[/C][C]41.2993212365591[/C][/ROW]
[ROW][C]170[/C][C]448.1[/C][C]430.697452956989[/C][C]17.4025470430108[/C][/ROW]
[ROW][C]171[/C][C]432.3[/C][C]408.429711021505[/C][C]23.8702889784946[/C][/ROW]
[ROW][C]172[/C][C]386.3[/C][C]369.507130376344[/C][C]16.7928696236559[/C][/ROW]
[ROW][C]173[/C][C]395.2[/C][C]348.968420698925[/C][C]46.2315793010753[/C][/ROW]
[ROW][C]174[/C][C]421.9[/C][C]421.694227150538[/C][C]0.205772849462341[/C][/ROW]
[ROW][C]175[/C][C]382.9[/C][C]398.923259408602[/C][C]-16.0232594086022[/C][/ROW]
[ROW][C]176[/C][C]384.2[/C][C]367.77809811828[/C][C]16.4219018817204[/C][/ROW]
[ROW][C]177[/C][C]345.5[/C][C]350.671646505376[/C][C]-5.17164650537637[/C][/ROW]
[ROW][C]178[/C][C]323.4[/C][C]335.229711021505[/C][C]-11.8297110215054[/C][/ROW]
[ROW][C]179[/C][C]372.6[/C][C]357.300678763441[/C][C]15.2993212365591[/C][/ROW]
[ROW][C]180[/C][C]376[/C][C]359.768420698925[/C][C]16.2315793010752[/C][/ROW]
[ROW][C]181[/C][C]462.7[/C][C]433.029032258065[/C][C]29.6709677419354[/C][/ROW]
[ROW][C]182[/C][C]487[/C][C]442.925806451613[/C][C]44.0741935483871[/C][/ROW]
[ROW][C]183[/C][C]444.2[/C][C]420.658064516129[/C][C]23.541935483871[/C][/ROW]
[ROW][C]184[/C][C]399.3[/C][C]381.735483870968[/C][C]17.5645161290323[/C][/ROW]
[ROW][C]185[/C][C]394.9[/C][C]361.196774193548[/C][C]33.7032258064516[/C][/ROW]
[ROW][C]186[/C][C]455.4[/C][C]433.922580645161[/C][C]21.4774193548387[/C][/ROW]
[ROW][C]187[/C][C]414[/C][C]411.151612903226[/C][C]2.8483870967742[/C][/ROW]
[ROW][C]188[/C][C]375.5[/C][C]380.006451612903[/C][C]-4.50645161290326[/C][/ROW]
[ROW][C]189[/C][C]347[/C][C]362.9[/C][C]-15.9[/C][/ROW]
[ROW][C]190[/C][C]339.4[/C][C]347.458064516129[/C][C]-8.05806451612905[/C][/ROW]
[ROW][C]191[/C][C]385.8[/C][C]369.529032258065[/C][C]16.2709677419355[/C][/ROW]
[ROW][C]192[/C][C]378.8[/C][C]371.996774193548[/C][C]6.80322580645159[/C][/ROW]
[ROW][C]193[/C][C]451.8[/C][C]445.257385752688[/C][C]6.5426142473118[/C][/ROW]
[ROW][C]194[/C][C]446.1[/C][C]455.154159946237[/C][C]-9.05415994623654[/C][/ROW]
[ROW][C]195[/C][C]422.5[/C][C]432.886418010753[/C][C]-10.3864180107527[/C][/ROW]
[ROW][C]196[/C][C]383.1[/C][C]393.963837365591[/C][C]-10.8638373655914[/C][/ROW]
[ROW][C]197[/C][C]352.8[/C][C]373.425127688172[/C][C]-20.625127688172[/C][/ROW]
[ROW][C]198[/C][C]445.3[/C][C]446.150934139785[/C][C]-0.85093413978494[/C][/ROW]
[ROW][C]199[/C][C]367.5[/C][C]423.379966397849[/C][C]-55.8799663978495[/C][/ROW]
[ROW][C]200[/C][C]355.1[/C][C]392.234805107527[/C][C]-37.1348051075269[/C][/ROW]
[ROW][C]201[/C][C]326.2[/C][C]375.128353494624[/C][C]-48.9283534946237[/C][/ROW]
[ROW][C]202[/C][C]319.8[/C][C]359.686418010753[/C][C]-39.8864180107527[/C][/ROW]
[ROW][C]203[/C][C]331.8[/C][C]381.757385752688[/C][C]-49.9573857526882[/C][/ROW]
[ROW][C]204[/C][C]340.9[/C][C]384.225127688172[/C][C]-43.3251276881721[/C][/ROW]
[ROW][C]205[/C][C]394.1[/C][C]457.485739247312[/C][C]-63.3857392473119[/C][/ROW]
[ROW][C]206[/C][C]417.2[/C][C]467.38251344086[/C][C]-50.1825134408602[/C][/ROW]
[ROW][C]207[/C][C]369.9[/C][C]445.114771505376[/C][C]-75.2147715053764[/C][/ROW]
[ROW][C]208[/C][C]349.2[/C][C]406.192190860215[/C][C]-56.9921908602151[/C][/ROW]
[ROW][C]209[/C][C]321.4[/C][C]385.653481182796[/C][C]-64.2534811827957[/C][/ROW]
[ROW][C]210[/C][C]405.7[/C][C]458.379287634409[/C][C]-52.6792876344086[/C][/ROW]
[ROW][C]211[/C][C]342.9[/C][C]435.608319892473[/C][C]-92.7083198924732[/C][/ROW]
[ROW][C]212[/C][C]316.5[/C][C]404.463158602151[/C][C]-87.9631586021506[/C][/ROW]
[ROW][C]213[/C][C]284.2[/C][C]387.356706989247[/C][C]-103.156706989247[/C][/ROW]
[ROW][C]214[/C][C]270.9[/C][C]371.914771505376[/C][C]-101.014771505376[/C][/ROW]
[ROW][C]215[/C][C]288.8[/C][C]393.985739247312[/C][C]-105.185739247312[/C][/ROW]
[ROW][C]216[/C][C]278.8[/C][C]396.453481182796[/C][C]-117.653481182796[/C][/ROW]
[ROW][C]217[/C][C]324.4[/C][C]469.714092741935[/C][C]-145.314092741936[/C][/ROW]
[ROW][C]218[/C][C]310.9[/C][C]479.610866935484[/C][C]-168.710866935484[/C][/ROW]
[ROW][C]219[/C][C]299[/C][C]457.343125[/C][C]-158.343125[/C][/ROW]
[ROW][C]220[/C][C]273[/C][C]418.420544354839[/C][C]-145.420544354839[/C][/ROW]
[ROW][C]221[/C][C]279.3[/C][C]397.881834677419[/C][C]-118.581834677419[/C][/ROW]
[ROW][C]222[/C][C]359.2[/C][C]470.607641129032[/C][C]-111.407641129032[/C][/ROW]
[ROW][C]223[/C][C]305[/C][C]447.836673387097[/C][C]-142.836673387097[/C][/ROW]
[ROW][C]224[/C][C]282.1[/C][C]416.691512096774[/C][C]-134.591512096774[/C][/ROW]
[ROW][C]225[/C][C]250.3[/C][C]399.585060483871[/C][C]-149.285060483871[/C][/ROW]
[ROW][C]226[/C][C]246.5[/C][C]384.143125[/C][C]-137.643125[/C][/ROW]
[ROW][C]227[/C][C]257.9[/C][C]406.214092741935[/C][C]-148.314092741935[/C][/ROW]
[ROW][C]228[/C][C]266.5[/C][C]408.681834677419[/C][C]-142.181834677419[/C][/ROW]
[ROW][C]229[/C][C]315.9[/C][C]481.942446236559[/C][C]-166.042446236559[/C][/ROW]
[ROW][C]230[/C][C]318.4[/C][C]491.839220430108[/C][C]-173.439220430107[/C][/ROW]
[ROW][C]231[/C][C]295.4[/C][C]469.571478494624[/C][C]-174.171478494624[/C][/ROW]
[ROW][C]232[/C][C]266.4[/C][C]430.648897849462[/C][C]-164.248897849462[/C][/ROW]
[ROW][C]233[/C][C]245.8[/C][C]410.110188172043[/C][C]-164.310188172043[/C][/ROW]
[ROW][C]234[/C][C]362.8[/C][C]482.835994623656[/C][C]-120.035994623656[/C][/ROW]
[ROW][C]235[/C][C]324.9[/C][C]460.06502688172[/C][C]-135.16502688172[/C][/ROW]
[ROW][C]236[/C][C]294.2[/C][C]428.919865591398[/C][C]-134.719865591398[/C][/ROW]
[ROW][C]237[/C][C]289.5[/C][C]411.813413978495[/C][C]-122.313413978495[/C][/ROW]
[ROW][C]238[/C][C]295.2[/C][C]396.371478494624[/C][C]-101.171478494624[/C][/ROW]
[ROW][C]239[/C][C]290.3[/C][C]418.442446236559[/C][C]-128.142446236559[/C][/ROW]
[ROW][C]240[/C][C]272[/C][C]420.910188172043[/C][C]-148.910188172043[/C][/ROW]
[ROW][C]241[/C][C]307.4[/C][C]494.170799731183[/C][C]-186.770799731183[/C][/ROW]
[ROW][C]242[/C][C]328.7[/C][C]504.067573924731[/C][C]-175.367573924731[/C][/ROW]
[ROW][C]243[/C][C]292.9[/C][C]481.799831989247[/C][C]-188.899831989247[/C][/ROW]
[ROW][C]244[/C][C]249.1[/C][C]442.877251344086[/C][C]-193.777251344086[/C][/ROW]
[ROW][C]245[/C][C]230.4[/C][C]422.338541666667[/C][C]-191.938541666667[/C][/ROW]
[ROW][C]246[/C][C]361.5[/C][C]495.06434811828[/C][C]-133.56434811828[/C][/ROW]
[ROW][C]247[/C][C]321.7[/C][C]472.293380376344[/C][C]-150.593380376344[/C][/ROW]
[ROW][C]248[/C][C]277.2[/C][C]441.148219086022[/C][C]-163.948219086022[/C][/ROW]
[ROW][C]249[/C][C]260.7[/C][C]424.041767473118[/C][C]-163.341767473118[/C][/ROW]
[ROW][C]250[/C][C]251[/C][C]408.599831989247[/C][C]-157.599831989247[/C][/ROW]
[ROW][C]251[/C][C]257.6[/C][C]430.670799731183[/C][C]-173.070799731183[/C][/ROW]
[ROW][C]252[/C][C]241.8[/C][C]433.138541666667[/C][C]-191.338541666667[/C][/ROW]
[ROW][C]253[/C][C]287.5[/C][C]506.399153225806[/C][C]-218.899153225806[/C][/ROW]
[ROW][C]254[/C][C]292.3[/C][C]516.295927419355[/C][C]-223.995927419355[/C][/ROW]
[ROW][C]255[/C][C]274.7[/C][C]494.028185483871[/C][C]-219.328185483871[/C][/ROW]
[ROW][C]256[/C][C]254.2[/C][C]455.10560483871[/C][C]-200.90560483871[/C][/ROW]
[ROW][C]257[/C][C]230[/C][C]434.56689516129[/C][C]-204.56689516129[/C][/ROW]
[ROW][C]258[/C][C]339[/C][C]507.292701612903[/C][C]-168.292701612903[/C][/ROW]
[ROW][C]259[/C][C]318.2[/C][C]484.521733870968[/C][C]-166.321733870968[/C][/ROW]
[ROW][C]260[/C][C]287[/C][C]453.376572580645[/C][C]-166.376572580645[/C][/ROW]
[ROW][C]261[/C][C]295.8[/C][C]436.270120967742[/C][C]-140.470120967742[/C][/ROW]
[ROW][C]262[/C][C]284[/C][C]420.828185483871[/C][C]-136.828185483871[/C][/ROW]
[ROW][C]263[/C][C]271[/C][C]442.899153225806[/C][C]-171.899153225806[/C][/ROW]
[ROW][C]264[/C][C]262.7[/C][C]445.36689516129[/C][C]-182.66689516129[/C][/ROW]
[ROW][C]265[/C][C]340.6[/C][C]518.62750672043[/C][C]-178.02750672043[/C][/ROW]
[ROW][C]266[/C][C]379.4[/C][C]528.524280913978[/C][C]-149.124280913979[/C][/ROW]
[ROW][C]267[/C][C]373.3[/C][C]506.256538978495[/C][C]-132.956538978495[/C][/ROW]
[ROW][C]268[/C][C]355.2[/C][C]467.333958333333[/C][C]-112.133958333333[/C][/ROW]
[ROW][C]269[/C][C]338.4[/C][C]446.795248655914[/C][C]-108.395248655914[/C][/ROW]
[ROW][C]270[/C][C]466.9[/C][C]519.521055107527[/C][C]-52.6210551075269[/C][/ROW]
[ROW][C]271[/C][C]451[/C][C]496.750087365591[/C][C]-45.7500873655914[/C][/ROW]
[ROW][C]272[/C][C]422[/C][C]465.604926075269[/C][C]-43.6049260752688[/C][/ROW]
[ROW][C]273[/C][C]429.2[/C][C]448.498474462366[/C][C]-19.2984744623656[/C][/ROW]
[ROW][C]274[/C][C]425.9[/C][C]433.056538978495[/C][C]-7.15653897849465[/C][/ROW]
[ROW][C]275[/C][C]460.7[/C][C]455.12750672043[/C][C]5.57249327956986[/C][/ROW]
[ROW][C]276[/C][C]463.6[/C][C]457.595248655914[/C][C]6.00475134408602[/C][/ROW]
[ROW][C]277[/C][C]541.4[/C][C]530.855860215054[/C][C]10.5441397849462[/C][/ROW]
[ROW][C]278[/C][C]544.2[/C][C]540.752634408602[/C][C]3.44736559139788[/C][/ROW]
[ROW][C]279[/C][C]517.5[/C][C]518.484892473118[/C][C]-0.984892473118272[/C][/ROW]
[ROW][C]280[/C][C]469.4[/C][C]479.562311827957[/C][C]-10.162311827957[/C][/ROW]
[ROW][C]281[/C][C]439.4[/C][C]459.023602150538[/C][C]-19.6236021505376[/C][/ROW]
[ROW][C]282[/C][C]549[/C][C]531.749408602151[/C][C]17.2505913978495[/C][/ROW]
[ROW][C]283[/C][C]533[/C][C]508.978440860215[/C][C]24.021559139785[/C][/ROW]
[ROW][C]284[/C][C]506.1[/C][C]477.833279569893[/C][C]28.2667204301075[/C][/ROW]
[ROW][C]285[/C][C]484[/C][C]460.726827956989[/C][C]23.2731720430108[/C][/ROW]
[ROW][C]286[/C][C]457[/C][C]445.284892473118[/C][C]11.7151075268817[/C][/ROW]
[ROW][C]287[/C][C]481.5[/C][C]467.355860215054[/C][C]14.1441397849462[/C][/ROW]
[ROW][C]288[/C][C]469.5[/C][C]469.823602150538[/C][C]-0.323602150537605[/C][/ROW]
[ROW][C]289[/C][C]544.7[/C][C]543.084213709677[/C][C]1.61578629032258[/C][/ROW]
[ROW][C]290[/C][C]541.2[/C][C]552.980987903226[/C][C]-11.7809879032258[/C][/ROW]
[ROW][C]291[/C][C]521.5[/C][C]530.713245967742[/C][C]-9.21324596774194[/C][/ROW]
[ROW][C]292[/C][C]469.7[/C][C]491.790665322581[/C][C]-22.0906653225807[/C][/ROW]
[ROW][C]293[/C][C]434.4[/C][C]471.251955645161[/C][C]-36.8519556451613[/C][/ROW]
[ROW][C]294[/C][C]542.6[/C][C]543.977762096774[/C][C]-1.37776209677414[/C][/ROW]
[ROW][C]295[/C][C]517.3[/C][C]521.206794354839[/C][C]-3.90679435483875[/C][/ROW]
[ROW][C]296[/C][C]485.7[/C][C]490.061633064516[/C][C]-4.36163306451613[/C][/ROW]
[ROW][C]297[/C][C]465.8[/C][C]472.955181451613[/C][C]-7.15518145161287[/C][/ROW]
[ROW][C]298[/C][C]447[/C][C]457.513245967742[/C][C]-10.5132459677419[/C][/ROW]
[ROW][C]299[/C][C]426.6[/C][C]479.584213709677[/C][C]-52.9842137096774[/C][/ROW]
[ROW][C]300[/C][C]411.6[/C][C]482.051955645161[/C][C]-70.4519556451612[/C][/ROW]
[ROW][C]301[/C][C]467.5[/C][C]555.312567204301[/C][C]-87.812567204301[/C][/ROW]
[ROW][C]302[/C][C]484.5[/C][C]565.209341397849[/C][C]-80.7093413978495[/C][/ROW]
[ROW][C]303[/C][C]451.2[/C][C]542.941599462366[/C][C]-91.7415994623656[/C][/ROW]
[ROW][C]304[/C][C]417.4[/C][C]504.019018817204[/C][C]-86.6190188172043[/C][/ROW]
[ROW][C]305[/C][C]379.9[/C][C]483.480309139785[/C][C]-103.580309139785[/C][/ROW]
[ROW][C]306[/C][C]484.7[/C][C]556.206115591398[/C][C]-71.5061155913979[/C][/ROW]
[ROW][C]307[/C][C]455[/C][C]533.435147849462[/C][C]-78.4351478494624[/C][/ROW]
[ROW][C]308[/C][C]420.8[/C][C]502.28998655914[/C][C]-81.4899865591398[/C][/ROW]
[ROW][C]309[/C][C]416.5[/C][C]485.183534946237[/C][C]-68.6835349462366[/C][/ROW]
[ROW][C]310[/C][C]376.3[/C][C]469.741599462366[/C][C]-93.4415994623656[/C][/ROW]
[ROW][C]311[/C][C]405.6[/C][C]491.812567204301[/C][C]-86.212567204301[/C][/ROW]
[ROW][C]312[/C][C]405.8[/C][C]494.280309139785[/C][C]-88.480309139785[/C][/ROW]
[ROW][C]313[/C][C]500.8[/C][C]567.540920698925[/C][C]-66.7409206989248[/C][/ROW]
[ROW][C]314[/C][C]514[/C][C]577.437694892473[/C][C]-63.4376948924732[/C][/ROW]
[ROW][C]315[/C][C]475.5[/C][C]555.169952956989[/C][C]-79.6699529569893[/C][/ROW]
[ROW][C]316[/C][C]430.1[/C][C]516.247372311828[/C][C]-86.147372311828[/C][/ROW]
[ROW][C]317[/C][C]414.4[/C][C]495.708662634409[/C][C]-81.3086626344087[/C][/ROW]
[ROW][C]318[/C][C]538[/C][C]568.434469086022[/C][C]-30.4344690860216[/C][/ROW]
[ROW][C]319[/C][C]526[/C][C]545.663501344086[/C][C]-19.6635013440861[/C][/ROW]
[ROW][C]320[/C][C]488.5[/C][C]514.518340053763[/C][C]-26.0183400537634[/C][/ROW]
[ROW][C]321[/C][C]520.2[/C][C]497.41188844086[/C][C]22.7881115591398[/C][/ROW]
[ROW][C]322[/C][C]504.4[/C][C]481.969952956989[/C][C]22.4300470430107[/C][/ROW]
[ROW][C]323[/C][C]568.5[/C][C]504.040920698925[/C][C]64.4590793010752[/C][/ROW]
[ROW][C]324[/C][C]610.6[/C][C]506.508662634409[/C][C]104.091337365591[/C][/ROW]
[ROW][C]325[/C][C]818[/C][C]579.769274193548[/C][C]238.230725806452[/C][/ROW]
[ROW][C]326[/C][C]830.9[/C][C]589.666048387097[/C][C]241.233951612903[/C][/ROW]
[ROW][C]327[/C][C]835.9[/C][C]567.398306451613[/C][C]268.501693548387[/C][/ROW]
[ROW][C]328[/C][C]782[/C][C]528.475725806451[/C][C]253.524274193548[/C][/ROW]
[ROW][C]329[/C][C]762.3[/C][C]507.937016129032[/C][C]254.362983870968[/C][/ROW]
[ROW][C]330[/C][C]856.9[/C][C]580.662822580645[/C][C]276.237177419355[/C][/ROW]
[ROW][C]331[/C][C]820.9[/C][C]557.89185483871[/C][C]263.00814516129[/C][/ROW]
[ROW][C]332[/C][C]769.6[/C][C]526.746693548387[/C][C]242.853306451613[/C][/ROW]
[ROW][C]333[/C][C]752.2[/C][C]509.640241935484[/C][C]242.559758064516[/C][/ROW]
[ROW][C]334[/C][C]724.4[/C][C]494.198306451613[/C][C]230.201693548387[/C][/ROW]
[ROW][C]335[/C][C]723.1[/C][C]516.269274193548[/C][C]206.830725806452[/C][/ROW]
[ROW][C]336[/C][C]719.5[/C][C]518.737016129032[/C][C]200.762983870968[/C][/ROW]
[ROW][C]337[/C][C]817.4[/C][C]591.997627688172[/C][C]225.402372311828[/C][/ROW]
[ROW][C]338[/C][C]803.3[/C][C]601.89440188172[/C][C]201.405598118279[/C][/ROW]
[ROW][C]339[/C][C]752.5[/C][C]579.626659946237[/C][C]172.873340053763[/C][/ROW]
[ROW][C]340[/C][C]689[/C][C]540.704079301075[/C][C]148.295920698925[/C][/ROW]
[ROW][C]341[/C][C]630.4[/C][C]520.165369623656[/C][C]110.234630376344[/C][/ROW]
[ROW][C]342[/C][C]765.5[/C][C]592.891176075269[/C][C]172.608823924731[/C][/ROW]
[ROW][C]343[/C][C]757.7[/C][C]570.120208333333[/C][C]187.579791666667[/C][/ROW]
[ROW][C]344[/C][C]732.2[/C][C]538.975047043011[/C][C]193.224952956989[/C][/ROW]
[ROW][C]345[/C][C]702.6[/C][C]521.868595430107[/C][C]180.731404569893[/C][/ROW]
[ROW][C]346[/C][C]683.3[/C][C]506.426659946236[/C][C]176.873340053763[/C][/ROW]
[ROW][C]347[/C][C]709.5[/C][C]528.497627688172[/C][C]181.002372311828[/C][/ROW]
[ROW][C]348[/C][C]702.2[/C][C]530.965369623656[/C][C]171.234630376344[/C][/ROW]
[ROW][C]349[/C][C]784.8[/C][C]604.225981182796[/C][C]180.574018817204[/C][/ROW]
[ROW][C]350[/C][C]810.9[/C][C]614.122755376344[/C][C]196.777244623656[/C][/ROW]
[ROW][C]351[/C][C]755.6[/C][C]591.85501344086[/C][C]163.74498655914[/C][/ROW]
[ROW][C]352[/C][C]656.8[/C][C]552.932432795699[/C][C]103.867567204301[/C][/ROW]
[ROW][C]353[/C][C]615.1[/C][C]532.39372311828[/C][C]82.7062768817204[/C][/ROW]
[ROW][C]354[/C][C]745.3[/C][C]605.119529569893[/C][C]140.180470430107[/C][/ROW]
[ROW][C]355[/C][C]694.1[/C][C]582.348561827957[/C][C]111.751438172043[/C][/ROW]
[ROW][C]356[/C][C]675.7[/C][C]551.203400537634[/C][C]124.496599462366[/C][/ROW]
[ROW][C]357[/C][C]643.7[/C][C]534.096948924731[/C][C]109.603051075269[/C][/ROW]
[ROW][C]358[/C][C]622.1[/C][C]518.65501344086[/C][C]103.44498655914[/C][/ROW]
[ROW][C]359[/C][C]634.6[/C][C]540.725981182796[/C][C]93.8740188172044[/C][/ROW]
[ROW][C]360[/C][C]588[/C][C]543.19372311828[/C][C]44.8062768817205[/C][/ROW]
[ROW][C]361[/C][C]689.7[/C][C]616.45433467742[/C][C]73.2456653225807[/C][/ROW]
[ROW][C]362[/C][C]673.9[/C][C]626.351108870968[/C][C]47.5488911290322[/C][/ROW]
[ROW][C]363[/C][C]647.9[/C][C]604.083366935484[/C][C]43.8166330645161[/C][/ROW]
[ROW][C]364[/C][C]568.8[/C][C]565.160786290323[/C][C]3.6392137096774[/C][/ROW]
[ROW][C]365[/C][C]545.7[/C][C]544.622076612903[/C][C]1.07792338709678[/C][/ROW]
[ROW][C]366[/C][C]632.6[/C][C]617.347883064516[/C][C]15.2521169354839[/C][/ROW]
[ROW][C]367[/C][C]643.8[/C][C]594.57691532258[/C][C]49.2230846774194[/C][/ROW]
[ROW][C]368[/C][C]593.1[/C][C]563.431754032258[/C][C]29.668245967742[/C][/ROW]
[ROW][C]369[/C][C]579.7[/C][C]546.325302419355[/C][C]33.3746975806452[/C][/ROW]
[ROW][C]370[/C][C]546[/C][C]530.883366935484[/C][C]15.1166330645161[/C][/ROW]
[ROW][C]371[/C][C]562.9[/C][C]552.95433467742[/C][C]9.94566532258058[/C][/ROW]
[ROW][C]372[/C][C]572.5[/C][C]555.422076612903[/C][C]17.0779233870967[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147284&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147284&T=4

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	235.1	249.603729838709	-14.5037298387093
2	280.7	259.500504032258	21.199495967742
3	264.6	237.232762096774	27.3672379032257
4	240.7	198.310181451613	42.389818548387
5	201.4	177.771471774194	23.6285282258065
6	240.8	250.497278225807	-9.6972782258066
7	241.1	227.726310483871	13.3736895161289
8	223.8	196.581149193548	27.2188508064516
9	206.1	179.474697580645	26.6253024193549
10	174.7	164.032762096774	10.6672379032258
11	203.3	186.10372983871	17.1962701612903
12	220.5	188.571471774194	31.9285282258065
13	299.5	261.832083333333	37.6679166666668
14	347.4	271.728857526882	75.6711424731182
15	338.3	249.461115591398	88.8388844086022
16	327.7	210.538534946236	117.161465053763
17	351.6	189.999825268817	161.600174731183
18	396.6	262.72563172043	133.87436827957
19	438.8	239.954663978495	198.845336021505
20	395.6	208.809502688172	186.790497311828
21	363.5	191.703051075269	171.796948924731
22	378.8	176.261115591398	202.538884408602
23	357	198.332083333333	158.667916666667
24	369	200.799825268817	168.200174731183
25	464.8	274.060436827957	190.739563172043
26	479.1	283.957211021505	195.142788978495
27	431.3	261.689469086022	169.610530913979
28	366.5	222.76688844086	143.73311155914
29	326.3	202.228178763441	124.071821236559
30	355.1	274.953985215054	80.1460147849462
31	331.6	252.183017473118	79.4169825268817
32	261.3	221.037856182796	40.2621438172043
33	249	203.931404569892	45.0685954301075
34	205.5	188.489469086022	17.0105309139785
35	235.6	210.560436827957	25.039563172043
36	240.9	213.028178763441	27.8718212365591
37	264.9	286.288790322581	-21.3887903225807
38	253.8	296.185564516129	-42.3855645161291
39	232.3	273.917822580645	-41.6178225806451
40	193.8	234.995241935484	-41.1952419354838
41	177	214.456532258064	-37.4565322580645
42	213.2	287.182338709677	-73.9823387096774
43	207.2	264.411370967742	-57.211370967742
44	180.6	233.266209677419	-52.6662096774194
45	188.6	216.159758064516	-27.5597580645162
46	175.4	200.717822580645	-25.3178225806452
47	199	222.788790322581	-23.7887903225807
48	179.6	225.256532258065	-45.6565322580646
49	225.8	298.517143817204	-72.7171438172043
50	234	308.413918010753	-74.4139180107527
51	200.2	286.146176075269	-85.9461760752688
52	183.6	247.223595430107	-63.6235954301075
53	178.2	226.684885752688	-48.4848857526882
54	203.2	299.410692204301	-96.210692204301
55	208.5	276.639724462366	-68.1397244623656
56	191.8	245.494563172043	-53.694563172043
57	172.8	228.38811155914	-55.5881115591398
58	148	212.946176075269	-64.9461760752688
59	159.4	235.017143817204	-75.6171438172043
60	154.5	237.484885752688	-82.9848857526882
61	213.2	310.745497311828	-97.545497311828
62	196.4	320.642271505376	-124.242271505376
63	182.8	298.374529569892	-115.574529569892
64	176.4	259.451948924731	-83.0519489247311
65	153.6	238.913239247312	-85.3132392473118
66	173.2	311.639045698925	-138.439045698925
67	171	288.868077956989	-117.868077956989
68	151.2	257.722916666667	-106.522916666667
69	161.9	240.616465053763	-78.7164650537635
70	157.2	225.174529569892	-67.9745295698925
71	201.7	247.245497311828	-45.545497311828
72	236.4	249.713239247312	-13.3132392473118
73	356.1	322.973850806452	33.1261491935484
74	398.3	332.870625	65.429375
75	403.7	310.602883064516	93.0971169354839
76	384.6	271.680302419355	112.919697580645
77	365.8	251.141592741935	114.658407258065
78	368.1	323.867399193548	44.2326008064517
79	367.9	301.096431451613	66.8035685483871
80	347	269.95127016129	77.0487298387097
81	343.3	252.844818548387	90.4551814516129
82	292.9	237.402883064516	55.4971169354839
83	311.5	259.473850806452	52.0261491935484
84	300.9	261.941592741935	38.9584072580645
85	366.9	335.202204301075	31.6977956989247
86	356.9	345.098978494624	11.8010215053763
87	329.7	322.83123655914	6.86876344086024
88	316.2	283.908655913979	32.2913440860215
89	269	263.369946236559	5.63005376344091
90	289.3	336.095752688172	-46.795752688172
91	266.2	313.324784946237	-47.1247849462365
92	253.6	282.179623655914	-28.579623655914
93	233.8	265.073172043011	-31.2731720430107
94	228.4	249.63123655914	-21.2312365591398
95	253.6	271.702204301075	-18.1022043010753
96	260.1	274.169946236559	-14.0699462365591
97	306.6	347.430557795699	-40.8305577956989
98	309.2	357.327331989247	-48.1273319892473
99	309.5	335.059590053763	-25.5595900537634
100	271	296.137009408602	-25.1370094086022
101	279.9	275.598299731183	4.30170026881722
102	317.9	348.324106182796	-30.4241061827957
103	298.4	325.55313844086	-27.1531384408602
104	246.7	294.407977150538	-47.7079771505376
105	227.3	277.301525537634	-50.0015255376344
106	209.1	261.859590053763	-52.7595900537634
107	259.9	283.930557795699	-24.0305577956989
108	266	286.398299731183	-20.3982997311828
109	320.6	359.658911290323	-39.0589112903226
110	308.5	369.555685483871	-61.055685483871
111	282.2	347.287943548387	-65.0879435483871
112	262.7	308.365362903226	-45.6653629032258
113	263.5	287.826653225806	-24.3266532258064
114	313.1	360.552459677419	-47.4524596774193
115	284.3	337.781491935484	-53.4814919354838
116	252.6	306.636330645161	-54.0363306451613
117	250.3	289.529879032258	-39.229879032258
118	246.5	274.087943548387	-27.5879435483871
119	312.7	296.158911290323	16.5410887096774
120	333.2	298.626653225806	34.5733467741935
121	446.4	371.887264784946	74.5127352150537
122	511.6	381.784038978495	129.815961021505
123	515.5	359.516297043011	155.983702956989
124	506.4	320.59371639785	185.80628360215
125	483.2	300.05500672043	183.14499327957
126	522.3	372.780813172043	149.519186827957
127	509.8	350.009845430108	159.790154569892
128	460.7	318.864684139785	141.835315860215
129	405.8	301.758232526882	104.041767473118
130	375	286.316297043011	88.6837029569892
131	378.5	308.387264784946	70.1127352150537
132	406.8	310.85500672043	95.9449932795699
133	467.8	384.11561827957	83.68438172043
134	469.8	394.012392473118	75.7876075268817
135	429.8	371.744650537634	58.0553494623656
136	355.8	332.822069892473	22.9779301075269
137	332.7	312.283360215054	20.4166397849463
138	378	385.009166666667	-7.00916666666668
139	360.5	362.238198924731	-1.73819892473119
140	334.7	331.093037634409	3.60696236559135
141	319.5	313.986586021505	5.5134139784946
142	323.1	298.544650537634	24.5553494623656
143	363.6	320.61561827957	42.9843817204301
144	352.1	323.083360215054	29.0166397849462
145	411.9	396.343971774194	15.5560282258064
146	388.6	406.240745967742	-17.6407459677419
147	416.4	383.973004032258	32.4269959677419
148	360.7	345.050423387097	15.6495766129032
149	338	324.511713709677	13.4882862903226
150	417.2	397.23752016129	19.9624798387097
151	388.4	374.466552419355	13.9334475806451
152	371.1	343.321391129032	27.7786088709677
153	331.5	326.214939516129	5.28506048387095
154	353.7	310.773004032258	42.9269959677419
155	396.7	332.843971774194	63.8560282258064
156	447	335.311713709677	111.688286290323
157	533.5	408.572325268817	124.927674731183
158	565.4	418.469099462366	146.930900537634
159	542.3	396.201357526882	146.098642473118
160	488.7	357.27877688172	131.42122311828
161	467.1	336.740067204301	130.359932795699
162	531.3	409.465873655914	121.834126344086
163	496.1	386.694905913979	109.405094086022
164	444	355.549744623656	88.450255376344
165	403.4	338.443293010753	64.9567069892473
166	386.3	323.001357526882	63.2986424731183
167	394.1	345.072325268817	49.0276747311828
168	404.1	347.540067204301	56.5599327956989
169	462.1	420.800678763441	41.2993212365591
170	448.1	430.697452956989	17.4025470430108
171	432.3	408.429711021505	23.8702889784946
172	386.3	369.507130376344	16.7928696236559
173	395.2	348.968420698925	46.2315793010753
174	421.9	421.694227150538	0.205772849462341
175	382.9	398.923259408602	-16.0232594086022
176	384.2	367.77809811828	16.4219018817204
177	345.5	350.671646505376	-5.17164650537637
178	323.4	335.229711021505	-11.8297110215054
179	372.6	357.300678763441	15.2993212365591
180	376	359.768420698925	16.2315793010752
181	462.7	433.029032258065	29.6709677419354
182	487	442.925806451613	44.0741935483871
183	444.2	420.658064516129	23.541935483871
184	399.3	381.735483870968	17.5645161290323
185	394.9	361.196774193548	33.7032258064516
186	455.4	433.922580645161	21.4774193548387
187	414	411.151612903226	2.8483870967742
188	375.5	380.006451612903	-4.50645161290326
189	347	362.9	-15.9
190	339.4	347.458064516129	-8.05806451612905
191	385.8	369.529032258065	16.2709677419355
192	378.8	371.996774193548	6.80322580645159
193	451.8	445.257385752688	6.5426142473118
194	446.1	455.154159946237	-9.05415994623654
195	422.5	432.886418010753	-10.3864180107527
196	383.1	393.963837365591	-10.8638373655914
197	352.8	373.425127688172	-20.625127688172
198	445.3	446.150934139785	-0.85093413978494
199	367.5	423.379966397849	-55.8799663978495
200	355.1	392.234805107527	-37.1348051075269
201	326.2	375.128353494624	-48.9283534946237
202	319.8	359.686418010753	-39.8864180107527
203	331.8	381.757385752688	-49.9573857526882
204	340.9	384.225127688172	-43.3251276881721
205	394.1	457.485739247312	-63.3857392473119
206	417.2	467.38251344086	-50.1825134408602
207	369.9	445.114771505376	-75.2147715053764
208	349.2	406.192190860215	-56.9921908602151
209	321.4	385.653481182796	-64.2534811827957
210	405.7	458.379287634409	-52.6792876344086
211	342.9	435.608319892473	-92.7083198924732
212	316.5	404.463158602151	-87.9631586021506
213	284.2	387.356706989247	-103.156706989247
214	270.9	371.914771505376	-101.014771505376
215	288.8	393.985739247312	-105.185739247312
216	278.8	396.453481182796	-117.653481182796
217	324.4	469.714092741935	-145.314092741936
218	310.9	479.610866935484	-168.710866935484
219	299	457.343125	-158.343125
220	273	418.420544354839	-145.420544354839
221	279.3	397.881834677419	-118.581834677419
222	359.2	470.607641129032	-111.407641129032
223	305	447.836673387097	-142.836673387097
224	282.1	416.691512096774	-134.591512096774
225	250.3	399.585060483871	-149.285060483871
226	246.5	384.143125	-137.643125
227	257.9	406.214092741935	-148.314092741935
228	266.5	408.681834677419	-142.181834677419
229	315.9	481.942446236559	-166.042446236559
230	318.4	491.839220430108	-173.439220430107
231	295.4	469.571478494624	-174.171478494624
232	266.4	430.648897849462	-164.248897849462
233	245.8	410.110188172043	-164.310188172043
234	362.8	482.835994623656	-120.035994623656
235	324.9	460.06502688172	-135.16502688172
236	294.2	428.919865591398	-134.719865591398
237	289.5	411.813413978495	-122.313413978495
238	295.2	396.371478494624	-101.171478494624
239	290.3	418.442446236559	-128.142446236559
240	272	420.910188172043	-148.910188172043
241	307.4	494.170799731183	-186.770799731183
242	328.7	504.067573924731	-175.367573924731
243	292.9	481.799831989247	-188.899831989247
244	249.1	442.877251344086	-193.777251344086
245	230.4	422.338541666667	-191.938541666667
246	361.5	495.06434811828	-133.56434811828
247	321.7	472.293380376344	-150.593380376344
248	277.2	441.148219086022	-163.948219086022
249	260.7	424.041767473118	-163.341767473118
250	251	408.599831989247	-157.599831989247
251	257.6	430.670799731183	-173.070799731183
252	241.8	433.138541666667	-191.338541666667
253	287.5	506.399153225806	-218.899153225806
254	292.3	516.295927419355	-223.995927419355
255	274.7	494.028185483871	-219.328185483871
256	254.2	455.10560483871	-200.90560483871
257	230	434.56689516129	-204.56689516129
258	339	507.292701612903	-168.292701612903
259	318.2	484.521733870968	-166.321733870968
260	287	453.376572580645	-166.376572580645
261	295.8	436.270120967742	-140.470120967742
262	284	420.828185483871	-136.828185483871
263	271	442.899153225806	-171.899153225806
264	262.7	445.36689516129	-182.66689516129
265	340.6	518.62750672043	-178.02750672043
266	379.4	528.524280913978	-149.124280913979
267	373.3	506.256538978495	-132.956538978495
268	355.2	467.333958333333	-112.133958333333
269	338.4	446.795248655914	-108.395248655914
270	466.9	519.521055107527	-52.6210551075269
271	451	496.750087365591	-45.7500873655914
272	422	465.604926075269	-43.6049260752688
273	429.2	448.498474462366	-19.2984744623656
274	425.9	433.056538978495	-7.15653897849465
275	460.7	455.12750672043	5.57249327956986
276	463.6	457.595248655914	6.00475134408602
277	541.4	530.855860215054	10.5441397849462
278	544.2	540.752634408602	3.44736559139788
279	517.5	518.484892473118	-0.984892473118272
280	469.4	479.562311827957	-10.162311827957
281	439.4	459.023602150538	-19.6236021505376
282	549	531.749408602151	17.2505913978495
283	533	508.978440860215	24.021559139785
284	506.1	477.833279569893	28.2667204301075
285	484	460.726827956989	23.2731720430108
286	457	445.284892473118	11.7151075268817
287	481.5	467.355860215054	14.1441397849462
288	469.5	469.823602150538	-0.323602150537605
289	544.7	543.084213709677	1.61578629032258
290	541.2	552.980987903226	-11.7809879032258
291	521.5	530.713245967742	-9.21324596774194
292	469.7	491.790665322581	-22.0906653225807
293	434.4	471.251955645161	-36.8519556451613
294	542.6	543.977762096774	-1.37776209677414
295	517.3	521.206794354839	-3.90679435483875
296	485.7	490.061633064516	-4.36163306451613
297	465.8	472.955181451613	-7.15518145161287
298	447	457.513245967742	-10.5132459677419
299	426.6	479.584213709677	-52.9842137096774
300	411.6	482.051955645161	-70.4519556451612
301	467.5	555.312567204301	-87.812567204301
302	484.5	565.209341397849	-80.7093413978495
303	451.2	542.941599462366	-91.7415994623656
304	417.4	504.019018817204	-86.6190188172043
305	379.9	483.480309139785	-103.580309139785
306	484.7	556.206115591398	-71.5061155913979
307	455	533.435147849462	-78.4351478494624
308	420.8	502.28998655914	-81.4899865591398
309	416.5	485.183534946237	-68.6835349462366
310	376.3	469.741599462366	-93.4415994623656
311	405.6	491.812567204301	-86.212567204301
312	405.8	494.280309139785	-88.480309139785
313	500.8	567.540920698925	-66.7409206989248
314	514	577.437694892473	-63.4376948924732
315	475.5	555.169952956989	-79.6699529569893
316	430.1	516.247372311828	-86.147372311828
317	414.4	495.708662634409	-81.3086626344087
318	538	568.434469086022	-30.4344690860216
319	526	545.663501344086	-19.6635013440861
320	488.5	514.518340053763	-26.0183400537634
321	520.2	497.41188844086	22.7881115591398
322	504.4	481.969952956989	22.4300470430107
323	568.5	504.040920698925	64.4590793010752
324	610.6	506.508662634409	104.091337365591
325	818	579.769274193548	238.230725806452
326	830.9	589.666048387097	241.233951612903
327	835.9	567.398306451613	268.501693548387
328	782	528.475725806451	253.524274193548
329	762.3	507.937016129032	254.362983870968
330	856.9	580.662822580645	276.237177419355
331	820.9	557.89185483871	263.00814516129
332	769.6	526.746693548387	242.853306451613
333	752.2	509.640241935484	242.559758064516
334	724.4	494.198306451613	230.201693548387
335	723.1	516.269274193548	206.830725806452
336	719.5	518.737016129032	200.762983870968
337	817.4	591.997627688172	225.402372311828
338	803.3	601.89440188172	201.405598118279
339	752.5	579.626659946237	172.873340053763
340	689	540.704079301075	148.295920698925
341	630.4	520.165369623656	110.234630376344
342	765.5	592.891176075269	172.608823924731
343	757.7	570.120208333333	187.579791666667
344	732.2	538.975047043011	193.224952956989
345	702.6	521.868595430107	180.731404569893
346	683.3	506.426659946236	176.873340053763
347	709.5	528.497627688172	181.002372311828
348	702.2	530.965369623656	171.234630376344
349	784.8	604.225981182796	180.574018817204
350	810.9	614.122755376344	196.777244623656
351	755.6	591.85501344086	163.74498655914
352	656.8	552.932432795699	103.867567204301
353	615.1	532.39372311828	82.7062768817204
354	745.3	605.119529569893	140.180470430107
355	694.1	582.348561827957	111.751438172043
356	675.7	551.203400537634	124.496599462366
357	643.7	534.096948924731	109.603051075269
358	622.1	518.65501344086	103.44498655914
359	634.6	540.725981182796	93.8740188172044
360	588	543.19372311828	44.8062768817205
361	689.7	616.45433467742	73.2456653225807
362	673.9	626.351108870968	47.5488911290322
363	647.9	604.083366935484	43.8166330645161
364	568.8	565.160786290323	3.6392137096774
365	545.7	544.622076612903	1.07792338709678
366	632.6	617.347883064516	15.2521169354839
367	643.8	594.57691532258	49.2230846774194
368	593.1	563.431754032258	29.668245967742
369	579.7	546.325302419355	33.3746975806452
370	546	530.883366935484	15.1166330645161
371	562.9	552.95433467742	9.94566532258058
372	572.5	555.422076612903	17.0779233870967

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
16	0.000399178512635826	0.000798357025271652	0.999600821487364
17	0.00545991681860455	0.0109198336372091	0.994540083181395
18	0.00411753782965192	0.00823507565930385	0.995882462170348
19	0.00637570237606128	0.0127514047521226	0.993624297623939
20	0.00338128175511517	0.00676256351023034	0.996618718244885
21	0.00135724937088816	0.00271449874177632	0.998642750629112
22	0.00114644940941755	0.0022928988188351	0.998853550590582
23	0.000420720753556694	0.000841441507113388	0.999579279246443
24	0.000145665302782798	0.000291330605565596	0.999854334697217
25	4.8561508624353e-05	9.7123017248706e-05	0.999951438491376
26	2.18707346218092e-05	4.37414692436183e-05	0.999978129265378
27	1.93823739557941e-05	3.87647479115883e-05	0.999980617626044
28	5.35346640480999e-05	0.0001070693280962	0.999946465335952
29	0.000189443590562915	0.000378887181125829	0.999810556409437
30	0.000444766373404704	0.000889532746809407	0.999555233626595
31	0.0016806105188261	0.00336122103765221	0.998319389481174
32	0.00676285371772786	0.0135257074354557	0.993237146282272
33	0.0122129188737802	0.0244258377475605	0.98778708112622
34	0.0254733374816814	0.0509466749633628	0.974526662518319
35	0.0314085519118058	0.0628171038236116	0.968591448088194
36	0.0377129535930308	0.0754259071860616	0.96228704640697
37	0.05800570427693	0.11601140855386	0.94199429572307
38	0.102490982662226	0.204981965324452	0.897509017337774
39	0.138726256395225	0.277452512790451	0.861273743604775
40	0.169503466453696	0.339006932907391	0.830496533546304
41	0.188670521824274	0.377341043648548	0.811329478175726
42	0.200514187195144	0.401028374390289	0.799485812804856
43	0.213531737636849	0.427063475273698	0.786468262363151
44	0.208208345144114	0.416416690288228	0.791791654855886
45	0.185744988547286	0.371489977094572	0.814255011452714
46	0.161520532640513	0.323041065281026	0.838479467359487
47	0.136163681642835	0.27232736328567	0.863836318357165
48	0.120646139894827	0.241292279789654	0.879353860105173
49	0.103316653160991	0.206633306321982	0.89668334683901
50	0.09043245520783	0.18086491041566	0.90956754479217
51	0.0801768997009603	0.160353799401921	0.91982310029904
52	0.066773071645181	0.133546143290362	0.93322692835482
53	0.053576113671498	0.107152227342996	0.946423886328502
54	0.0438596203765383	0.0877192407530766	0.956140379623462
55	0.0350823770058382	0.0701647540116763	0.964917622994162
56	0.0268112819413435	0.053622563882687	0.973188718058656
57	0.0203822206239281	0.0407644412478562	0.979617779376072
58	0.0154841434686789	0.0309682869373578	0.984515856531321
59	0.0117379677617546	0.0234759355235092	0.988262032238245
60	0.00897149261060916	0.0179429852212183	0.99102850738939
61	0.00659815355483015	0.0131963071096603	0.99340184644517
62	0.0052258482619313	0.0104516965238626	0.994774151738069
63	0.00395384948428136	0.00790769896856273	0.996046150515719
64	0.00281760532317323	0.00563521064634646	0.997182394676827
65	0.00200205640836716	0.00400411281673433	0.997997943591633
66	0.00150501656383119	0.00301003312766237	0.998494983436169
67	0.00111407115071733	0.00222814230143465	0.998885928849283
68	0.000789616676108044	0.00157923335221609	0.999210383323892
69	0.000540613908012835	0.00108122781602567	0.999459386091987
70	0.00037121434223006	0.000742428684460119	0.99962878565777
71	0.000272738233522255	0.00054547646704451	0.999727261766478
72	0.000233191255085327	0.000466382510170655	0.999766808744915
73	0.000411839639189724	0.000823679278379447	0.99958816036081
74	0.000876514219583316	0.00175302843916663	0.999123485780417
75	0.00219429504498294	0.00438859008996588	0.997805704955017
76	0.00489972790920427	0.00979945581840855	0.995100272090796
77	0.00905097351948602	0.018101947038972	0.990949026480514
78	0.0113739350083113	0.0227478700166226	0.988626064991689
79	0.0135848810265822	0.0271697620531644	0.986415118973418
80	0.0167288160530486	0.0334576321060971	0.983271183946951
81	0.0207380419401109	0.0414760838802217	0.97926195805989
82	0.0208297002607997	0.0416594005215994	0.9791702997392
83	0.0205092756098906	0.0410185512197812	0.97949072439011
84	0.0186632917560114	0.0373265835120228	0.981336708243989
85	0.0171875456028787	0.0343750912057575	0.982812454397121
86	0.0144051541998519	0.0288103083997039	0.985594845800148
87	0.0117799816612343	0.0235599633224686	0.988220018338766
88	0.00992838629422759	0.0198567725884552	0.990071613705772
89	0.0078095314983577	0.0156190629967154	0.992190468501642
90	0.00602265307712569	0.0120453061542514	0.993977346922874
91	0.00458036925997208	0.00916073851994415	0.995419630740028
92	0.00345810655390799	0.00691621310781598	0.996541893446092
93	0.00258524802411096	0.00517049604822191	0.997414751975889
94	0.00193142982184563	0.00386285964369127	0.998068570178154
95	0.00144047551774179	0.00288095103548357	0.998559524482258
96	0.00106919529229013	0.00213839058458026	0.99893080470771
97	0.000779111619079723	0.00155822323815945	0.99922088838092
98	0.000563192753627757	0.00112638550725551	0.999436807246372
99	0.000406710969255291	0.000813421938510581	0.999593289030745
100	0.000289553578172515	0.00057910715634503	0.999710446421827
101	0.000212665140181036	0.000425330280362071	0.99978733485982
102	0.000157140211354743	0.000314280422709486	0.999842859788645
103	0.000111253353698923	0.000222506707397846	0.999888746646301
104	7.72868560652616e-05	0.000154573712130523	0.999922713143935
105	5.34969066927153e-05	0.000106993813385431	0.999946503093307
106	3.67874561006925e-05	7.35749122013849e-05	0.9999632125439
107	2.5393733128366e-05	5.0787466256732e-05	0.999974606266872
108	1.74397854759994e-05	3.48795709519988e-05	0.999982560214524
109	1.18413435256532e-05	2.36826870513065e-05	0.999988158656474
110	7.9661913259253e-06	1.59323826518506e-05	0.999992033808674
111	5.36755535482596e-06	1.07351107096519e-05	0.999994632444645
112	3.54127132414759e-06	7.08254264829519e-06	0.999996458728676
113	2.32189338924435e-06	4.64378677848871e-06	0.99999767810661
114	1.57196323725914e-06	3.14392647451828e-06	0.999998428036763
115	1.02104880155917e-06	2.04209760311833e-06	0.999998978951198
116	6.5910917268758e-07	1.31821834537516e-06	0.999999340890827
117	4.22704330627279e-07	8.45408661254558e-07	0.99999957729567
118	2.75955080694565e-07	5.51910161389129e-07	0.99999972404492
119	2.15330693461613e-07	4.30661386923226e-07	0.999999784669307
120	1.8604866596728e-07	3.7209733193456e-07	0.999999813951334
121	2.70602516879268e-07	5.41205033758537e-07	0.999999729397483
122	8.08116937413362e-07	1.61623387482672e-06	0.999999191883063
123	3.06242799355916e-06	6.12485598711831e-06	0.999996937572006
124	1.34320135237393e-05	2.68640270474785e-05	0.999986567986476
125	4.46655500078961e-05	8.93311000157921e-05	0.999955334449992
126	0.000119776013438796	0.000239552026877592	0.99988022398656
127	0.000280073040597701	0.000560146081195401	0.999719926959402
128	0.000496399156266925	0.00099279831253385	0.999503600843733
129	0.000593611424177298	0.0011872228483546	0.999406388575823
130	0.000638865613468805	0.00127773122693761	0.999361134386531
131	0.000604898065746737	0.00120979613149347	0.999395101934253
132	0.000653166831694782	0.00130633366338956	0.999346833168305
133	0.000665242169948893	0.00133048433989779	0.999334757830051
134	0.0006376682453645	0.001275336490729	0.999362331754636
135	0.000559176977242995	0.00111835395448599	0.999440823022757
136	0.000444537181460655	0.00088907436292131	0.99955546281854
137	0.000352930584074141	0.000705861168148281	0.999647069415926
138	0.000265171841993378	0.000530343683986755	0.999734828158007
139	0.000200335141496026	0.000400670282992051	0.999799664858504
140	0.000151478184273941	0.000302956368547882	0.999848521815726
141	0.000114522140648834	0.000229044281297668	0.99988547785935
142	8.97027561842691e-05	0.000179405512368538	0.999910297243816
143	7.43557326688885e-05	0.000148711465337777	0.999925644267331
144	5.87440787828724e-05	0.000117488157565745	0.999941255921217
145	4.47639857181449e-05	8.95279714362898e-05	0.999955236014282
146	3.31680421771896e-05	6.63360843543792e-05	0.999966831957823
147	2.63672292067049e-05	5.27344584134099e-05	0.999973632770793
148	2.03512226304024e-05	4.07024452608048e-05	0.99997964877737
149	1.57496546633977e-05	3.14993093267954e-05	0.999984250345337
150	1.21265046191533e-05	2.42530092383066e-05	0.99998787349538
151	9.1260014691858e-06	1.82520029383716e-05	0.99999087399853
152	7.14785279332243e-06	1.42957055866449e-05	0.999992852147207
153	5.27762796078643e-06	1.05552559215729e-05	0.99999472237204
154	4.40640381640771e-06	8.81280763281542e-06	0.999995593596184
155	4.12499719819866e-06	8.24999439639731e-06	0.999995875002802
156	5.64132172378475e-06	1.12826434475695e-05	0.999994358678276
157	8.98498626418504e-06	1.79699725283701e-05	0.999991015013736
158	1.81013353041293e-05	3.62026706082587e-05	0.999981898664696
159	3.49835891964552e-05	6.99671783929104e-05	0.999965016410804
160	5.71391145673307e-05	0.000114278229134661	0.999942860885433
161	9.31857227369426e-05	0.000186371445473885	0.999906814277263
162	0.00014788268557735	0.0002957653711547	0.999852117314423
163	0.000206317950247554	0.000412635900495109	0.999793682049752
164	0.00024805179600058	0.00049610359200116	0.999751948204
165	0.000261204888026088	0.000522409776052176	0.999738795111974
166	0.000276452802643882	0.000552905605287763	0.999723547197356
167	0.000278944901246526	0.000557889802493052	0.999721055098753
168	0.000300405955349144	0.000600811910698288	0.99969959404465
169	0.000299031015405555	0.00059806203081111	0.999700968984594
170	0.000281945633847421	0.000563891267694843	0.999718054366153
171	0.000279431367254459	0.000558862734508917	0.999720568632745
172	0.000283483824319824	0.000566967648639649	0.99971651617568
173	0.0003253319939609	0.0006506639879218	0.999674668006039
174	0.000288990208923438	0.000577980417846875	0.999711009791077
175	0.000263239906199483	0.000526479812398965	0.9997367600938
176	0.000256181154457832	0.000512362308915663	0.999743818845542
177	0.000237333528098568	0.000474667056197136	0.999762666471901
178	0.000219835097317478	0.000439670194634955	0.999780164902683
179	0.000223473778684309	0.000446947557368618	0.999776526221316
180	0.000239189373614312	0.000478378747228624	0.999760810626386
181	0.000261580343590374	0.000523160687180748	0.99973841965641
182	0.000315729952195945	0.00063145990439189	0.999684270047804
183	0.000363302019054005	0.00072660403810801	0.999636697980946
184	0.000430960561101028	0.000861921122202057	0.999569039438899
185	0.000576347802828125	0.00115269560565625	0.999423652197172
186	0.000624092508535569	0.00124818501707114	0.999375907491464
187	0.000665446337721015	0.00133089267544203	0.999334553662279
188	0.000706180638295569	0.00141236127659114	0.999293819361704
189	0.000725754802037812	0.00145150960407562	0.999274245197962
190	0.000773941032118377	0.00154788206423675	0.999226058967882
191	0.000956254607848177	0.00191250921569635	0.999043745392152
192	0.00120845655382297	0.00241691310764595	0.998791543446177
193	0.00146112931766524	0.00292225863533048	0.998538870682335
194	0.00172264739729645	0.00344529479459291	0.998277352602704
195	0.00212431969366962	0.00424863938733924	0.99787568030633
196	0.0027695114722865	0.00553902294457299	0.997230488527713
197	0.00370716915840394	0.00741433831680788	0.996292830841596
198	0.00432954144740534	0.00865908289481068	0.995670458552595
199	0.00463396023859804	0.00926792047719608	0.995366039761402
200	0.00517057126418451	0.010341142528369	0.994829428735815
201	0.00557903310867517	0.0111580662173503	0.994420966891325
202	0.00623220451744164	0.0124644090348833	0.993767795482558
203	0.00721061674845672	0.0144212334969134	0.992789383251543
204	0.0089438012137593	0.0178876024275186	0.99105619878624
205	0.0100695245229975	0.020139049045995	0.989930475477003
206	0.0117756671414753	0.0235513342829506	0.988224332858525
207	0.0137853968664845	0.0275707937329689	0.986214603133515
208	0.017287382069943	0.034574764139886	0.982712617930057
209	0.0222500200030459	0.0445000400060919	0.977749979996954
210	0.0240041583433849	0.0480083166867698	0.975995841656615
211	0.0253865577882857	0.0507731155765714	0.974613442211714
212	0.0271801175633053	0.0543602351266107	0.972819882436695
213	0.0284061997974065	0.0568123995948131	0.971593800202593
214	0.0299222064788709	0.0598444129577419	0.97007779352113
215	0.0326196021891934	0.0652392043783868	0.967380397810807
216	0.0368895673129205	0.073779134625841	0.96311043268708
217	0.0404708321095529	0.0809416642191057	0.959529167890447
218	0.0467481795794763	0.0934963591589526	0.953251820420524
219	0.0524285515882719	0.104857103176544	0.947571448411728
220	0.0585230935468379	0.117046187093676	0.941476906453162
221	0.0653349833104166	0.130669966620833	0.934665016689583
222	0.0635039852786897	0.127007970557379	0.93649601472131
223	0.0631700870206421	0.126340174041284	0.936829912979358
224	0.0625053001250561	0.125010600250112	0.937494699874944
225	0.0616310777819836	0.123262155563967	0.938368922218016
226	0.0600898675707747	0.120179735141549	0.939910132429225
227	0.060194165136136	0.120388330272272	0.939805834863864
228	0.0610581330914624	0.122116266182925	0.938941866908538
229	0.0612230581107885	0.122446116221577	0.938776941889211
230	0.0620711609799165	0.124142321959833	0.937928839020084
231	0.0631327994341907	0.126265598868381	0.93686720056581
232	0.0639118430390156	0.127823686078031	0.936088156960984
233	0.0655464123299778	0.131092824659956	0.934453587670022
234	0.0595751018929038	0.119150203785808	0.940424898107096
235	0.0542965190097587	0.108593038019517	0.945703480990241
236	0.0495856821982512	0.0991713643965024	0.95041431780175
237	0.0444019736824007	0.0888039473648015	0.9555980263176
238	0.0404114905293515	0.080822981058703	0.959588509470648
239	0.0368375290563436	0.0736750581126872	0.963162470943656
240	0.0343992095479979	0.0687984190959958	0.965600790452002
241	0.0337687411910623	0.0675374823821246	0.966231258808938
242	0.0319162692949046	0.0638325385898091	0.968083730705095
243	0.0312990055133308	0.0625980110266615	0.96870099448667
244	0.0311869563064592	0.0623739126129184	0.96881304369354
245	0.0309292481787951	0.0618584963575902	0.969070751821205
246	0.0264985287385803	0.0529970574771605	0.97350147126142
247	0.0230773998660326	0.0461547997320653	0.976922600133967
248	0.0205754137223808	0.0411508274447615	0.97942458627762
249	0.0182531827190187	0.0365063654380374	0.98174681728098
250	0.0159150264684463	0.0318300529368927	0.984084973531554
251	0.0143682056852634	0.0287364113705268	0.985631794314737
252	0.0137102762021061	0.0274205524042123	0.986289723797894
253	0.0157963197645172	0.0315926395290344	0.984203680235483
254	0.0187167349744868	0.0374334699489737	0.981283265025513
255	0.0213409266298475	0.0426818532596951	0.978659073370152
256	0.021625163468703	0.043250326937406	0.978374836531297
257	0.021961760131523	0.0439235202630461	0.978038239868477
258	0.0206439234435909	0.0412878468871818	0.97935607655641
259	0.019436596784392	0.0388731935687839	0.980563403215608
260	0.018282444282777	0.0365648885655539	0.981717555717223
261	0.0160985670608248	0.0321971341216496	0.983901432939175
262	0.0138779305961318	0.0277558611922637	0.986122069403868
263	0.0134152844319905	0.026830568863981	0.98658471556801
264	0.0135177432046219	0.0270354864092437	0.986482256795378
265	0.0154295260989068	0.0308590521978135	0.984570473901093
266	0.0152893895227096	0.0305787790454191	0.98471061047729
267	0.0140668481585514	0.0281336963171027	0.985933151841449
268	0.011800366970639	0.023600733941278	0.98819963302936
269	0.00964898435981776	0.0192979687196355	0.990351015640182
270	0.00804276734184237	0.0160855346836847	0.991957232658158
271	0.00671603186112958	0.0134320637222592	0.99328396813887
272	0.00557038127130604	0.0111407625426121	0.994429618728694
273	0.00480045163599543	0.00960090327199086	0.995199548364005
274	0.00426137975265505	0.00852275950531009	0.995738620247345
275	0.00396353627124114	0.00792707254248228	0.996036463728759
276	0.00371475092917315	0.00742950185834629	0.996285249070827
277	0.00340100260503555	0.0068020052100711	0.996598997394964
278	0.00302306340714814	0.00604612681429628	0.996976936592852
279	0.00263643702503083	0.00527287405006166	0.99736356297497
280	0.00224671490371318	0.00449342980742636	0.997753285096287
281	0.00187199750037595	0.00374399500075189	0.998128002499624
282	0.00171729559536452	0.00343459119072903	0.998282704404636
283	0.00161366652414033	0.00322733304828067	0.99838633347586
284	0.00155037757509183	0.00310075515018366	0.998449622424908
285	0.00144042819539401	0.00288085639078801	0.998559571804606
286	0.00128311454875393	0.00256622909750786	0.998716885451246
287	0.00116033620881015	0.0023206724176203	0.99883966379119
288	0.00099309980724666	0.00198619961449332	0.999006900192753
289	0.000820462528109234	0.00164092505621847	0.99917953747189
290	0.000654297407065083	0.00130859481413017	0.999345702592935
291	0.000517331408454547	0.00103466281690909	0.999482668591545
292	0.000395139032103647	0.000790278064207294	0.999604860967896
293	0.000292153407147843	0.000584306814295686	0.999707846592852
294	0.000230175351631549	0.000460350703263098	0.999769824648368
295	0.000178845314320246	0.000357690628640492	0.99982115468568
296	0.000137602852308378	0.000275205704616755	0.999862397147692
297	0.00010444856430435	0.0002088971286087	0.999895551435696
298	7.78610969688504e-05	0.000155722193937701	0.999922138903031
299	5.57735806067872e-05	0.000111547161213574	0.999944226419393
300	4.04688735184164e-05	8.09377470368328e-05	0.999959531126482
301	4.35977872951006e-05	8.71955745902013e-05	0.999956402212705
302	4.50237122153242e-05	9.00474244306484e-05	0.999954976287785
303	4.81828882952682e-05	9.63657765905365e-05	0.999951817111705
304	4.33447121867853e-05	8.66894243735706e-05	0.999956655287813
305	4.15129184511993e-05	8.30258369023987e-05	0.999958487081549
306	4.3937568424457e-05	8.7875136848914e-05	0.999956062431576
307	5.26607579116606e-05	0.000105321515823321	0.999947339242088
308	6.5906195260862e-05	0.000131812390521724	0.99993409380474
309	8.35980276708222e-05	0.000167196055341644	0.99991640197233
310	0.000132385195584361	0.000264770391168722	0.999867614804416
311	0.000221332527878355	0.000442665055756711	0.999778667472122
312	0.000411582676251134	0.000823165352502267	0.999588417323749
313	0.00144847269929643	0.00289694539859287	0.998551527300704
314	0.00497333064488382	0.00994666128976763	0.995026669355116
315	0.0199996200380527	0.0399992400761055	0.980000379961947
316	0.061132883508454	0.122265767016908	0.938867116491546
317	0.15585207578247	0.31170415156494	0.84414792421753
318	0.349611472694736	0.699222945389471	0.650388527305264
319	0.647662328162301	0.704675343675397	0.352337671837699
320	0.926656661048379	0.146686677903242	0.0733433389516211
321	0.99269176286407	0.0146164742718615	0.00730823713593074
322	0.999940292166853	0.00011941566629306	5.97078331465301e-05
323	0.999999965107944	6.97841112963618e-08	3.48920556481809e-08
324	0.999999999999326	1.3486287800617e-12	6.74314390030851e-13
325	0.999999999999904	1.91466545653602e-13	9.5733272826801e-14
326	0.999999999999973	5.48582628733212e-14	2.74291314366606e-14
327	0.99999999999995	9.92858004591839e-14	4.96429002295919e-14
328	0.999999999999925	1.50080651178775e-13	7.50403255893875e-14
329	0.999999999999962	7.53232717590518e-14	3.76616358795259e-14
330	0.999999999999946	1.07453032733337e-13	5.37265163666684e-14
331	0.999999999999863	2.73200258438173e-13	1.36600129219086e-13
332	0.999999999999649	7.02822907031705e-13	3.51411453515853e-13
333	0.999999999998965	2.07006233604921e-12	1.03503116802461e-12
334	0.999999999996897	6.20543893265341e-12	3.10271946632671e-12
335	0.999999999994636	1.07286996605326e-11	5.36434983026629e-12
336	0.99999999998684	2.63181667673306e-11	1.31590833836653e-11
337	0.999999999958063	8.38734213553385e-11	4.19367106776692e-11
338	0.999999999920814	1.58371383511765e-10	7.91856917558825e-11
339	0.999999999920103	1.59794716703244e-10	7.9897358351622e-11
340	0.999999999762847	4.74306454410179e-10	2.37153227205089e-10
341	0.999999999862214	2.755718499058e-10	1.377859249529e-10
342	0.999999999699195	6.0161002786799e-10	3.00805013933995e-10
343	0.99999999900485	1.99030041685641e-09	9.95150208428206e-10
344	0.99999999591185	8.17630029480715e-09	4.08815014740358e-09
345	0.999999987135937	2.57281253578086e-08	1.28640626789043e-08
346	0.999999950882892	9.82342156129856e-08	4.91171078064928e-08
347	0.99999977252841	4.54943180670552e-07	2.27471590335276e-07
348	0.999998890682427	2.21863514665162e-06	1.10931757332581e-06
349	0.99999527523036	9.44953928232765e-06	4.72476964116382e-06
350	0.999996482226451	7.03554709786452e-06	3.51777354893226e-06
351	0.999991199273105	1.76014537902647e-05	8.80072689513233e-06
352	0.999958810084454	8.23798310922404e-05	4.11899155461202e-05
353	0.999765195737345	0.000469608525310551	0.000234804262655276
354	0.99970129491697	0.000597410166061517	0.000298705083030758
355	0.998184692405011	0.00363061518997744	0.00181530759498872
356	0.991833845944853	0.0163323081102941	0.00816615405514704

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
16 & 0.000399178512635826 & 0.000798357025271652 & 0.999600821487364 \tabularnewline
17 & 0.00545991681860455 & 0.0109198336372091 & 0.994540083181395 \tabularnewline
18 & 0.00411753782965192 & 0.00823507565930385 & 0.995882462170348 \tabularnewline
19 & 0.00637570237606128 & 0.0127514047521226 & 0.993624297623939 \tabularnewline
20 & 0.00338128175511517 & 0.00676256351023034 & 0.996618718244885 \tabularnewline
21 & 0.00135724937088816 & 0.00271449874177632 & 0.998642750629112 \tabularnewline
22 & 0.00114644940941755 & 0.0022928988188351 & 0.998853550590582 \tabularnewline
23 & 0.000420720753556694 & 0.000841441507113388 & 0.999579279246443 \tabularnewline
24 & 0.000145665302782798 & 0.000291330605565596 & 0.999854334697217 \tabularnewline
25 & 4.8561508624353e-05 & 9.7123017248706e-05 & 0.999951438491376 \tabularnewline
26 & 2.18707346218092e-05 & 4.37414692436183e-05 & 0.999978129265378 \tabularnewline
27 & 1.93823739557941e-05 & 3.87647479115883e-05 & 0.999980617626044 \tabularnewline
28 & 5.35346640480999e-05 & 0.0001070693280962 & 0.999946465335952 \tabularnewline
29 & 0.000189443590562915 & 0.000378887181125829 & 0.999810556409437 \tabularnewline
30 & 0.000444766373404704 & 0.000889532746809407 & 0.999555233626595 \tabularnewline
31 & 0.0016806105188261 & 0.00336122103765221 & 0.998319389481174 \tabularnewline
32 & 0.00676285371772786 & 0.0135257074354557 & 0.993237146282272 \tabularnewline
33 & 0.0122129188737802 & 0.0244258377475605 & 0.98778708112622 \tabularnewline
34 & 0.0254733374816814 & 0.0509466749633628 & 0.974526662518319 \tabularnewline
35 & 0.0314085519118058 & 0.0628171038236116 & 0.968591448088194 \tabularnewline
36 & 0.0377129535930308 & 0.0754259071860616 & 0.96228704640697 \tabularnewline
37 & 0.05800570427693 & 0.11601140855386 & 0.94199429572307 \tabularnewline
38 & 0.102490982662226 & 0.204981965324452 & 0.897509017337774 \tabularnewline
39 & 0.138726256395225 & 0.277452512790451 & 0.861273743604775 \tabularnewline
40 & 0.169503466453696 & 0.339006932907391 & 0.830496533546304 \tabularnewline
41 & 0.188670521824274 & 0.377341043648548 & 0.811329478175726 \tabularnewline
42 & 0.200514187195144 & 0.401028374390289 & 0.799485812804856 \tabularnewline
43 & 0.213531737636849 & 0.427063475273698 & 0.786468262363151 \tabularnewline
44 & 0.208208345144114 & 0.416416690288228 & 0.791791654855886 \tabularnewline
45 & 0.185744988547286 & 0.371489977094572 & 0.814255011452714 \tabularnewline
46 & 0.161520532640513 & 0.323041065281026 & 0.838479467359487 \tabularnewline
47 & 0.136163681642835 & 0.27232736328567 & 0.863836318357165 \tabularnewline
48 & 0.120646139894827 & 0.241292279789654 & 0.879353860105173 \tabularnewline
49 & 0.103316653160991 & 0.206633306321982 & 0.89668334683901 \tabularnewline
50 & 0.09043245520783 & 0.18086491041566 & 0.90956754479217 \tabularnewline
51 & 0.0801768997009603 & 0.160353799401921 & 0.91982310029904 \tabularnewline
52 & 0.066773071645181 & 0.133546143290362 & 0.93322692835482 \tabularnewline
53 & 0.053576113671498 & 0.107152227342996 & 0.946423886328502 \tabularnewline
54 & 0.0438596203765383 & 0.0877192407530766 & 0.956140379623462 \tabularnewline
55 & 0.0350823770058382 & 0.0701647540116763 & 0.964917622994162 \tabularnewline
56 & 0.0268112819413435 & 0.053622563882687 & 0.973188718058656 \tabularnewline
57 & 0.0203822206239281 & 0.0407644412478562 & 0.979617779376072 \tabularnewline
58 & 0.0154841434686789 & 0.0309682869373578 & 0.984515856531321 \tabularnewline
59 & 0.0117379677617546 & 0.0234759355235092 & 0.988262032238245 \tabularnewline
60 & 0.00897149261060916 & 0.0179429852212183 & 0.99102850738939 \tabularnewline
61 & 0.00659815355483015 & 0.0131963071096603 & 0.99340184644517 \tabularnewline
62 & 0.0052258482619313 & 0.0104516965238626 & 0.994774151738069 \tabularnewline
63 & 0.00395384948428136 & 0.00790769896856273 & 0.996046150515719 \tabularnewline
64 & 0.00281760532317323 & 0.00563521064634646 & 0.997182394676827 \tabularnewline
65 & 0.00200205640836716 & 0.00400411281673433 & 0.997997943591633 \tabularnewline
66 & 0.00150501656383119 & 0.00301003312766237 & 0.998494983436169 \tabularnewline
67 & 0.00111407115071733 & 0.00222814230143465 & 0.998885928849283 \tabularnewline
68 & 0.000789616676108044 & 0.00157923335221609 & 0.999210383323892 \tabularnewline
69 & 0.000540613908012835 & 0.00108122781602567 & 0.999459386091987 \tabularnewline
70 & 0.00037121434223006 & 0.000742428684460119 & 0.99962878565777 \tabularnewline
71 & 0.000272738233522255 & 0.00054547646704451 & 0.999727261766478 \tabularnewline
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73 & 0.000411839639189724 & 0.000823679278379447 & 0.99958816036081 \tabularnewline
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77 & 0.00905097351948602 & 0.018101947038972 & 0.990949026480514 \tabularnewline
78 & 0.0113739350083113 & 0.0227478700166226 & 0.988626064991689 \tabularnewline
79 & 0.0135848810265822 & 0.0271697620531644 & 0.986415118973418 \tabularnewline
80 & 0.0167288160530486 & 0.0334576321060971 & 0.983271183946951 \tabularnewline
81 & 0.0207380419401109 & 0.0414760838802217 & 0.97926195805989 \tabularnewline
82 & 0.0208297002607997 & 0.0416594005215994 & 0.9791702997392 \tabularnewline
83 & 0.0205092756098906 & 0.0410185512197812 & 0.97949072439011 \tabularnewline
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102 & 0.000157140211354743 & 0.000314280422709486 & 0.999842859788645 \tabularnewline
103 & 0.000111253353698923 & 0.000222506707397846 & 0.999888746646301 \tabularnewline
104 & 7.72868560652616e-05 & 0.000154573712130523 & 0.999922713143935 \tabularnewline
105 & 5.34969066927153e-05 & 0.000106993813385431 & 0.999946503093307 \tabularnewline
106 & 3.67874561006925e-05 & 7.35749122013849e-05 & 0.9999632125439 \tabularnewline
107 & 2.5393733128366e-05 & 5.0787466256732e-05 & 0.999974606266872 \tabularnewline
108 & 1.74397854759994e-05 & 3.48795709519988e-05 & 0.999982560214524 \tabularnewline
109 & 1.18413435256532e-05 & 2.36826870513065e-05 & 0.999988158656474 \tabularnewline
110 & 7.9661913259253e-06 & 1.59323826518506e-05 & 0.999992033808674 \tabularnewline
111 & 5.36755535482596e-06 & 1.07351107096519e-05 & 0.999994632444645 \tabularnewline
112 & 3.54127132414759e-06 & 7.08254264829519e-06 & 0.999996458728676 \tabularnewline
113 & 2.32189338924435e-06 & 4.64378677848871e-06 & 0.99999767810661 \tabularnewline
114 & 1.57196323725914e-06 & 3.14392647451828e-06 & 0.999998428036763 \tabularnewline
115 & 1.02104880155917e-06 & 2.04209760311833e-06 & 0.999998978951198 \tabularnewline
116 & 6.5910917268758e-07 & 1.31821834537516e-06 & 0.999999340890827 \tabularnewline
117 & 4.22704330627279e-07 & 8.45408661254558e-07 & 0.99999957729567 \tabularnewline
118 & 2.75955080694565e-07 & 5.51910161389129e-07 & 0.99999972404492 \tabularnewline
119 & 2.15330693461613e-07 & 4.30661386923226e-07 & 0.999999784669307 \tabularnewline
120 & 1.8604866596728e-07 & 3.7209733193456e-07 & 0.999999813951334 \tabularnewline
121 & 2.70602516879268e-07 & 5.41205033758537e-07 & 0.999999729397483 \tabularnewline
122 & 8.08116937413362e-07 & 1.61623387482672e-06 & 0.999999191883063 \tabularnewline
123 & 3.06242799355916e-06 & 6.12485598711831e-06 & 0.999996937572006 \tabularnewline
124 & 1.34320135237393e-05 & 2.68640270474785e-05 & 0.999986567986476 \tabularnewline
125 & 4.46655500078961e-05 & 8.93311000157921e-05 & 0.999955334449992 \tabularnewline
126 & 0.000119776013438796 & 0.000239552026877592 & 0.99988022398656 \tabularnewline
127 & 0.000280073040597701 & 0.000560146081195401 & 0.999719926959402 \tabularnewline
128 & 0.000496399156266925 & 0.00099279831253385 & 0.999503600843733 \tabularnewline
129 & 0.000593611424177298 & 0.0011872228483546 & 0.999406388575823 \tabularnewline
130 & 0.000638865613468805 & 0.00127773122693761 & 0.999361134386531 \tabularnewline
131 & 0.000604898065746737 & 0.00120979613149347 & 0.999395101934253 \tabularnewline
132 & 0.000653166831694782 & 0.00130633366338956 & 0.999346833168305 \tabularnewline
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134 & 0.0006376682453645 & 0.001275336490729 & 0.999362331754636 \tabularnewline
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136 & 0.000444537181460655 & 0.00088907436292131 & 0.99955546281854 \tabularnewline
137 & 0.000352930584074141 & 0.000705861168148281 & 0.999647069415926 \tabularnewline
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139 & 0.000200335141496026 & 0.000400670282992051 & 0.999799664858504 \tabularnewline
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141 & 0.000114522140648834 & 0.000229044281297668 & 0.99988547785935 \tabularnewline
142 & 8.97027561842691e-05 & 0.000179405512368538 & 0.999910297243816 \tabularnewline
143 & 7.43557326688885e-05 & 0.000148711465337777 & 0.999925644267331 \tabularnewline
144 & 5.87440787828724e-05 & 0.000117488157565745 & 0.999941255921217 \tabularnewline
145 & 4.47639857181449e-05 & 8.95279714362898e-05 & 0.999955236014282 \tabularnewline
146 & 3.31680421771896e-05 & 6.63360843543792e-05 & 0.999966831957823 \tabularnewline
147 & 2.63672292067049e-05 & 5.27344584134099e-05 & 0.999973632770793 \tabularnewline
148 & 2.03512226304024e-05 & 4.07024452608048e-05 & 0.99997964877737 \tabularnewline
149 & 1.57496546633977e-05 & 3.14993093267954e-05 & 0.999984250345337 \tabularnewline
150 & 1.21265046191533e-05 & 2.42530092383066e-05 & 0.99998787349538 \tabularnewline
151 & 9.1260014691858e-06 & 1.82520029383716e-05 & 0.99999087399853 \tabularnewline
152 & 7.14785279332243e-06 & 1.42957055866449e-05 & 0.999992852147207 \tabularnewline
153 & 5.27762796078643e-06 & 1.05552559215729e-05 & 0.99999472237204 \tabularnewline
154 & 4.40640381640771e-06 & 8.81280763281542e-06 & 0.999995593596184 \tabularnewline
155 & 4.12499719819866e-06 & 8.24999439639731e-06 & 0.999995875002802 \tabularnewline
156 & 5.64132172378475e-06 & 1.12826434475695e-05 & 0.999994358678276 \tabularnewline
157 & 8.98498626418504e-06 & 1.79699725283701e-05 & 0.999991015013736 \tabularnewline
158 & 1.81013353041293e-05 & 3.62026706082587e-05 & 0.999981898664696 \tabularnewline
159 & 3.49835891964552e-05 & 6.99671783929104e-05 & 0.999965016410804 \tabularnewline
160 & 5.71391145673307e-05 & 0.000114278229134661 & 0.999942860885433 \tabularnewline
161 & 9.31857227369426e-05 & 0.000186371445473885 & 0.999906814277263 \tabularnewline
162 & 0.00014788268557735 & 0.0002957653711547 & 0.999852117314423 \tabularnewline
163 & 0.000206317950247554 & 0.000412635900495109 & 0.999793682049752 \tabularnewline
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171 & 0.000279431367254459 & 0.000558862734508917 & 0.999720568632745 \tabularnewline
172 & 0.000283483824319824 & 0.000566967648639649 & 0.99971651617568 \tabularnewline
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175 & 0.000263239906199483 & 0.000526479812398965 & 0.9997367600938 \tabularnewline
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177 & 0.000237333528098568 & 0.000474667056197136 & 0.999762666471901 \tabularnewline
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179 & 0.000223473778684309 & 0.000446947557368618 & 0.999776526221316 \tabularnewline
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220 & 0.0585230935468379 & 0.117046187093676 & 0.941476906453162 \tabularnewline
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284 & 0.00155037757509183 & 0.00310075515018366 & 0.998449622424908 \tabularnewline
285 & 0.00144042819539401 & 0.00288085639078801 & 0.998559571804606 \tabularnewline
286 & 0.00128311454875393 & 0.00256622909750786 & 0.998716885451246 \tabularnewline
287 & 0.00116033620881015 & 0.0023206724176203 & 0.99883966379119 \tabularnewline
288 & 0.00099309980724666 & 0.00198619961449332 & 0.999006900192753 \tabularnewline
289 & 0.000820462528109234 & 0.00164092505621847 & 0.99917953747189 \tabularnewline
290 & 0.000654297407065083 & 0.00130859481413017 & 0.999345702592935 \tabularnewline
291 & 0.000517331408454547 & 0.00103466281690909 & 0.999482668591545 \tabularnewline
292 & 0.000395139032103647 & 0.000790278064207294 & 0.999604860967896 \tabularnewline
293 & 0.000292153407147843 & 0.000584306814295686 & 0.999707846592852 \tabularnewline
294 & 0.000230175351631549 & 0.000460350703263098 & 0.999769824648368 \tabularnewline
295 & 0.000178845314320246 & 0.000357690628640492 & 0.99982115468568 \tabularnewline
296 & 0.000137602852308378 & 0.000275205704616755 & 0.999862397147692 \tabularnewline
297 & 0.00010444856430435 & 0.0002088971286087 & 0.999895551435696 \tabularnewline
298 & 7.78610969688504e-05 & 0.000155722193937701 & 0.999922138903031 \tabularnewline
299 & 5.57735806067872e-05 & 0.000111547161213574 & 0.999944226419393 \tabularnewline
300 & 4.04688735184164e-05 & 8.09377470368328e-05 & 0.999959531126482 \tabularnewline
301 & 4.35977872951006e-05 & 8.71955745902013e-05 & 0.999956402212705 \tabularnewline
302 & 4.50237122153242e-05 & 9.00474244306484e-05 & 0.999954976287785 \tabularnewline
303 & 4.81828882952682e-05 & 9.63657765905365e-05 & 0.999951817111705 \tabularnewline
304 & 4.33447121867853e-05 & 8.66894243735706e-05 & 0.999956655287813 \tabularnewline
305 & 4.15129184511993e-05 & 8.30258369023987e-05 & 0.999958487081549 \tabularnewline
306 & 4.3937568424457e-05 & 8.7875136848914e-05 & 0.999956062431576 \tabularnewline
307 & 5.26607579116606e-05 & 0.000105321515823321 & 0.999947339242088 \tabularnewline
308 & 6.5906195260862e-05 & 0.000131812390521724 & 0.99993409380474 \tabularnewline
309 & 8.35980276708222e-05 & 0.000167196055341644 & 0.99991640197233 \tabularnewline
310 & 0.000132385195584361 & 0.000264770391168722 & 0.999867614804416 \tabularnewline
311 & 0.000221332527878355 & 0.000442665055756711 & 0.999778667472122 \tabularnewline
312 & 0.000411582676251134 & 0.000823165352502267 & 0.999588417323749 \tabularnewline
313 & 0.00144847269929643 & 0.00289694539859287 & 0.998551527300704 \tabularnewline
314 & 0.00497333064488382 & 0.00994666128976763 & 0.995026669355116 \tabularnewline
315 & 0.0199996200380527 & 0.0399992400761055 & 0.980000379961947 \tabularnewline
316 & 0.061132883508454 & 0.122265767016908 & 0.938867116491546 \tabularnewline
317 & 0.15585207578247 & 0.31170415156494 & 0.84414792421753 \tabularnewline
318 & 0.349611472694736 & 0.699222945389471 & 0.650388527305264 \tabularnewline
319 & 0.647662328162301 & 0.704675343675397 & 0.352337671837699 \tabularnewline
320 & 0.926656661048379 & 0.146686677903242 & 0.0733433389516211 \tabularnewline
321 & 0.99269176286407 & 0.0146164742718615 & 0.00730823713593074 \tabularnewline
322 & 0.999940292166853 & 0.00011941566629306 & 5.97078331465301e-05 \tabularnewline
323 & 0.999999965107944 & 6.97841112963618e-08 & 3.48920556481809e-08 \tabularnewline
324 & 0.999999999999326 & 1.3486287800617e-12 & 6.74314390030851e-13 \tabularnewline
325 & 0.999999999999904 & 1.91466545653602e-13 & 9.5733272826801e-14 \tabularnewline
326 & 0.999999999999973 & 5.48582628733212e-14 & 2.74291314366606e-14 \tabularnewline
327 & 0.99999999999995 & 9.92858004591839e-14 & 4.96429002295919e-14 \tabularnewline
328 & 0.999999999999925 & 1.50080651178775e-13 & 7.50403255893875e-14 \tabularnewline
329 & 0.999999999999962 & 7.53232717590518e-14 & 3.76616358795259e-14 \tabularnewline
330 & 0.999999999999946 & 1.07453032733337e-13 & 5.37265163666684e-14 \tabularnewline
331 & 0.999999999999863 & 2.73200258438173e-13 & 1.36600129219086e-13 \tabularnewline
332 & 0.999999999999649 & 7.02822907031705e-13 & 3.51411453515853e-13 \tabularnewline
333 & 0.999999999998965 & 2.07006233604921e-12 & 1.03503116802461e-12 \tabularnewline
334 & 0.999999999996897 & 6.20543893265341e-12 & 3.10271946632671e-12 \tabularnewline
335 & 0.999999999994636 & 1.07286996605326e-11 & 5.36434983026629e-12 \tabularnewline
336 & 0.99999999998684 & 2.63181667673306e-11 & 1.31590833836653e-11 \tabularnewline
337 & 0.999999999958063 & 8.38734213553385e-11 & 4.19367106776692e-11 \tabularnewline
338 & 0.999999999920814 & 1.58371383511765e-10 & 7.91856917558825e-11 \tabularnewline
339 & 0.999999999920103 & 1.59794716703244e-10 & 7.9897358351622e-11 \tabularnewline
340 & 0.999999999762847 & 4.74306454410179e-10 & 2.37153227205089e-10 \tabularnewline
341 & 0.999999999862214 & 2.755718499058e-10 & 1.377859249529e-10 \tabularnewline
342 & 0.999999999699195 & 6.0161002786799e-10 & 3.00805013933995e-10 \tabularnewline
343 & 0.99999999900485 & 1.99030041685641e-09 & 9.95150208428206e-10 \tabularnewline
344 & 0.99999999591185 & 8.17630029480715e-09 & 4.08815014740358e-09 \tabularnewline
345 & 0.999999987135937 & 2.57281253578086e-08 & 1.28640626789043e-08 \tabularnewline
346 & 0.999999950882892 & 9.82342156129856e-08 & 4.91171078064928e-08 \tabularnewline
347 & 0.99999977252841 & 4.54943180670552e-07 & 2.27471590335276e-07 \tabularnewline
348 & 0.999998890682427 & 2.21863514665162e-06 & 1.10931757332581e-06 \tabularnewline
349 & 0.99999527523036 & 9.44953928232765e-06 & 4.72476964116382e-06 \tabularnewline
350 & 0.999996482226451 & 7.03554709786452e-06 & 3.51777354893226e-06 \tabularnewline
351 & 0.999991199273105 & 1.76014537902647e-05 & 8.80072689513233e-06 \tabularnewline
352 & 0.999958810084454 & 8.23798310922404e-05 & 4.11899155461202e-05 \tabularnewline
353 & 0.999765195737345 & 0.000469608525310551 & 0.000234804262655276 \tabularnewline
354 & 0.99970129491697 & 0.000597410166061517 & 0.000298705083030758 \tabularnewline
355 & 0.998184692405011 & 0.00363061518997744 & 0.00181530759498872 \tabularnewline
356 & 0.991833845944853 & 0.0163323081102941 & 0.00816615405514704 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147284&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]16[/C][C]0.000399178512635826[/C][C]0.000798357025271652[/C][C]0.999600821487364[/C][/ROW]
[ROW][C]17[/C][C]0.00545991681860455[/C][C]0.0109198336372091[/C][C]0.994540083181395[/C][/ROW]
[ROW][C]18[/C][C]0.00411753782965192[/C][C]0.00823507565930385[/C][C]0.995882462170348[/C][/ROW]
[ROW][C]19[/C][C]0.00637570237606128[/C][C]0.0127514047521226[/C][C]0.993624297623939[/C][/ROW]
[ROW][C]20[/C][C]0.00338128175511517[/C][C]0.00676256351023034[/C][C]0.996618718244885[/C][/ROW]
[ROW][C]21[/C][C]0.00135724937088816[/C][C]0.00271449874177632[/C][C]0.998642750629112[/C][/ROW]
[ROW][C]22[/C][C]0.00114644940941755[/C][C]0.0022928988188351[/C][C]0.998853550590582[/C][/ROW]
[ROW][C]23[/C][C]0.000420720753556694[/C][C]0.000841441507113388[/C][C]0.999579279246443[/C][/ROW]
[ROW][C]24[/C][C]0.000145665302782798[/C][C]0.000291330605565596[/C][C]0.999854334697217[/C][/ROW]
[ROW][C]25[/C][C]4.8561508624353e-05[/C][C]9.7123017248706e-05[/C][C]0.999951438491376[/C][/ROW]
[ROW][C]26[/C][C]2.18707346218092e-05[/C][C]4.37414692436183e-05[/C][C]0.999978129265378[/C][/ROW]
[ROW][C]27[/C][C]1.93823739557941e-05[/C][C]3.87647479115883e-05[/C][C]0.999980617626044[/C][/ROW]
[ROW][C]28[/C][C]5.35346640480999e-05[/C][C]0.0001070693280962[/C][C]0.999946465335952[/C][/ROW]
[ROW][C]29[/C][C]0.000189443590562915[/C][C]0.000378887181125829[/C][C]0.999810556409437[/C][/ROW]
[ROW][C]30[/C][C]0.000444766373404704[/C][C]0.000889532746809407[/C][C]0.999555233626595[/C][/ROW]
[ROW][C]31[/C][C]0.0016806105188261[/C][C]0.00336122103765221[/C][C]0.998319389481174[/C][/ROW]
[ROW][C]32[/C][C]0.00676285371772786[/C][C]0.0135257074354557[/C][C]0.993237146282272[/C][/ROW]
[ROW][C]33[/C][C]0.0122129188737802[/C][C]0.0244258377475605[/C][C]0.98778708112622[/C][/ROW]
[ROW][C]34[/C][C]0.0254733374816814[/C][C]0.0509466749633628[/C][C]0.974526662518319[/C][/ROW]
[ROW][C]35[/C][C]0.0314085519118058[/C][C]0.0628171038236116[/C][C]0.968591448088194[/C][/ROW]
[ROW][C]36[/C][C]0.0377129535930308[/C][C]0.0754259071860616[/C][C]0.96228704640697[/C][/ROW]
[ROW][C]37[/C][C]0.05800570427693[/C][C]0.11601140855386[/C][C]0.94199429572307[/C][/ROW]
[ROW][C]38[/C][C]0.102490982662226[/C][C]0.204981965324452[/C][C]0.897509017337774[/C][/ROW]
[ROW][C]39[/C][C]0.138726256395225[/C][C]0.277452512790451[/C][C]0.861273743604775[/C][/ROW]
[ROW][C]40[/C][C]0.169503466453696[/C][C]0.339006932907391[/C][C]0.830496533546304[/C][/ROW]
[ROW][C]41[/C][C]0.188670521824274[/C][C]0.377341043648548[/C][C]0.811329478175726[/C][/ROW]
[ROW][C]42[/C][C]0.200514187195144[/C][C]0.401028374390289[/C][C]0.799485812804856[/C][/ROW]
[ROW][C]43[/C][C]0.213531737636849[/C][C]0.427063475273698[/C][C]0.786468262363151[/C][/ROW]
[ROW][C]44[/C][C]0.208208345144114[/C][C]0.416416690288228[/C][C]0.791791654855886[/C][/ROW]
[ROW][C]45[/C][C]0.185744988547286[/C][C]0.371489977094572[/C][C]0.814255011452714[/C][/ROW]
[ROW][C]46[/C][C]0.161520532640513[/C][C]0.323041065281026[/C][C]0.838479467359487[/C][/ROW]
[ROW][C]47[/C][C]0.136163681642835[/C][C]0.27232736328567[/C][C]0.863836318357165[/C][/ROW]
[ROW][C]48[/C][C]0.120646139894827[/C][C]0.241292279789654[/C][C]0.879353860105173[/C][/ROW]
[ROW][C]49[/C][C]0.103316653160991[/C][C]0.206633306321982[/C][C]0.89668334683901[/C][/ROW]
[ROW][C]50[/C][C]0.09043245520783[/C][C]0.18086491041566[/C][C]0.90956754479217[/C][/ROW]
[ROW][C]51[/C][C]0.0801768997009603[/C][C]0.160353799401921[/C][C]0.91982310029904[/C][/ROW]
[ROW][C]52[/C][C]0.066773071645181[/C][C]0.133546143290362[/C][C]0.93322692835482[/C][/ROW]
[ROW][C]53[/C][C]0.053576113671498[/C][C]0.107152227342996[/C][C]0.946423886328502[/C][/ROW]
[ROW][C]54[/C][C]0.0438596203765383[/C][C]0.0877192407530766[/C][C]0.956140379623462[/C][/ROW]
[ROW][C]55[/C][C]0.0350823770058382[/C][C]0.0701647540116763[/C][C]0.964917622994162[/C][/ROW]
[ROW][C]56[/C][C]0.0268112819413435[/C][C]0.053622563882687[/C][C]0.973188718058656[/C][/ROW]
[ROW][C]57[/C][C]0.0203822206239281[/C][C]0.0407644412478562[/C][C]0.979617779376072[/C][/ROW]
[ROW][C]58[/C][C]0.0154841434686789[/C][C]0.0309682869373578[/C][C]0.984515856531321[/C][/ROW]
[ROW][C]59[/C][C]0.0117379677617546[/C][C]0.0234759355235092[/C][C]0.988262032238245[/C][/ROW]
[ROW][C]60[/C][C]0.00897149261060916[/C][C]0.0179429852212183[/C][C]0.99102850738939[/C][/ROW]
[ROW][C]61[/C][C]0.00659815355483015[/C][C]0.0131963071096603[/C][C]0.99340184644517[/C][/ROW]
[ROW][C]62[/C][C]0.0052258482619313[/C][C]0.0104516965238626[/C][C]0.994774151738069[/C][/ROW]
[ROW][C]63[/C][C]0.00395384948428136[/C][C]0.00790769896856273[/C][C]0.996046150515719[/C][/ROW]
[ROW][C]64[/C][C]0.00281760532317323[/C][C]0.00563521064634646[/C][C]0.997182394676827[/C][/ROW]
[ROW][C]65[/C][C]0.00200205640836716[/C][C]0.00400411281673433[/C][C]0.997997943591633[/C][/ROW]
[ROW][C]66[/C][C]0.00150501656383119[/C][C]0.00301003312766237[/C][C]0.998494983436169[/C][/ROW]
[ROW][C]67[/C][C]0.00111407115071733[/C][C]0.00222814230143465[/C][C]0.998885928849283[/C][/ROW]
[ROW][C]68[/C][C]0.000789616676108044[/C][C]0.00157923335221609[/C][C]0.999210383323892[/C][/ROW]
[ROW][C]69[/C][C]0.000540613908012835[/C][C]0.00108122781602567[/C][C]0.999459386091987[/C][/ROW]
[ROW][C]70[/C][C]0.00037121434223006[/C][C]0.000742428684460119[/C][C]0.99962878565777[/C][/ROW]
[ROW][C]71[/C][C]0.000272738233522255[/C][C]0.00054547646704451[/C][C]0.999727261766478[/C][/ROW]
[ROW][C]72[/C][C]0.000233191255085327[/C][C]0.000466382510170655[/C][C]0.999766808744915[/C][/ROW]
[ROW][C]73[/C][C]0.000411839639189724[/C][C]0.000823679278379447[/C][C]0.99958816036081[/C][/ROW]
[ROW][C]74[/C][C]0.000876514219583316[/C][C]0.00175302843916663[/C][C]0.999123485780417[/C][/ROW]
[ROW][C]75[/C][C]0.00219429504498294[/C][C]0.00438859008996588[/C][C]0.997805704955017[/C][/ROW]
[ROW][C]76[/C][C]0.00489972790920427[/C][C]0.00979945581840855[/C][C]0.995100272090796[/C][/ROW]
[ROW][C]77[/C][C]0.00905097351948602[/C][C]0.018101947038972[/C][C]0.990949026480514[/C][/ROW]
[ROW][C]78[/C][C]0.0113739350083113[/C][C]0.0227478700166226[/C][C]0.988626064991689[/C][/ROW]
[ROW][C]79[/C][C]0.0135848810265822[/C][C]0.0271697620531644[/C][C]0.986415118973418[/C][/ROW]
[ROW][C]80[/C][C]0.0167288160530486[/C][C]0.0334576321060971[/C][C]0.983271183946951[/C][/ROW]
[ROW][C]81[/C][C]0.0207380419401109[/C][C]0.0414760838802217[/C][C]0.97926195805989[/C][/ROW]
[ROW][C]82[/C][C]0.0208297002607997[/C][C]0.0416594005215994[/C][C]0.9791702997392[/C][/ROW]
[ROW][C]83[/C][C]0.0205092756098906[/C][C]0.0410185512197812[/C][C]0.97949072439011[/C][/ROW]
[ROW][C]84[/C][C]0.0186632917560114[/C][C]0.0373265835120228[/C][C]0.981336708243989[/C][/ROW]
[ROW][C]85[/C][C]0.0171875456028787[/C][C]0.0343750912057575[/C][C]0.982812454397121[/C][/ROW]
[ROW][C]86[/C][C]0.0144051541998519[/C][C]0.0288103083997039[/C][C]0.985594845800148[/C][/ROW]
[ROW][C]87[/C][C]0.0117799816612343[/C][C]0.0235599633224686[/C][C]0.988220018338766[/C][/ROW]
[ROW][C]88[/C][C]0.00992838629422759[/C][C]0.0198567725884552[/C][C]0.990071613705772[/C][/ROW]
[ROW][C]89[/C][C]0.0078095314983577[/C][C]0.0156190629967154[/C][C]0.992190468501642[/C][/ROW]
[ROW][C]90[/C][C]0.00602265307712569[/C][C]0.0120453061542514[/C][C]0.993977346922874[/C][/ROW]
[ROW][C]91[/C][C]0.00458036925997208[/C][C]0.00916073851994415[/C][C]0.995419630740028[/C][/ROW]
[ROW][C]92[/C][C]0.00345810655390799[/C][C]0.00691621310781598[/C][C]0.996541893446092[/C][/ROW]
[ROW][C]93[/C][C]0.00258524802411096[/C][C]0.00517049604822191[/C][C]0.997414751975889[/C][/ROW]
[ROW][C]94[/C][C]0.00193142982184563[/C][C]0.00386285964369127[/C][C]0.998068570178154[/C][/ROW]
[ROW][C]95[/C][C]0.00144047551774179[/C][C]0.00288095103548357[/C][C]0.998559524482258[/C][/ROW]
[ROW][C]96[/C][C]0.00106919529229013[/C][C]0.00213839058458026[/C][C]0.99893080470771[/C][/ROW]
[ROW][C]97[/C][C]0.000779111619079723[/C][C]0.00155822323815945[/C][C]0.99922088838092[/C][/ROW]
[ROW][C]98[/C][C]0.000563192753627757[/C][C]0.00112638550725551[/C][C]0.999436807246372[/C][/ROW]
[ROW][C]99[/C][C]0.000406710969255291[/C][C]0.000813421938510581[/C][C]0.999593289030745[/C][/ROW]
[ROW][C]100[/C][C]0.000289553578172515[/C][C]0.00057910715634503[/C][C]0.999710446421827[/C][/ROW]
[ROW][C]101[/C][C]0.000212665140181036[/C][C]0.000425330280362071[/C][C]0.99978733485982[/C][/ROW]
[ROW][C]102[/C][C]0.000157140211354743[/C][C]0.000314280422709486[/C][C]0.999842859788645[/C][/ROW]
[ROW][C]103[/C][C]0.000111253353698923[/C][C]0.000222506707397846[/C][C]0.999888746646301[/C][/ROW]
[ROW][C]104[/C][C]7.72868560652616e-05[/C][C]0.000154573712130523[/C][C]0.999922713143935[/C][/ROW]
[ROW][C]105[/C][C]5.34969066927153e-05[/C][C]0.000106993813385431[/C][C]0.999946503093307[/C][/ROW]
[ROW][C]106[/C][C]3.67874561006925e-05[/C][C]7.35749122013849e-05[/C][C]0.9999632125439[/C][/ROW]
[ROW][C]107[/C][C]2.5393733128366e-05[/C][C]5.0787466256732e-05[/C][C]0.999974606266872[/C][/ROW]
[ROW][C]108[/C][C]1.74397854759994e-05[/C][C]3.48795709519988e-05[/C][C]0.999982560214524[/C][/ROW]
[ROW][C]109[/C][C]1.18413435256532e-05[/C][C]2.36826870513065e-05[/C][C]0.999988158656474[/C][/ROW]
[ROW][C]110[/C][C]7.9661913259253e-06[/C][C]1.59323826518506e-05[/C][C]0.999992033808674[/C][/ROW]
[ROW][C]111[/C][C]5.36755535482596e-06[/C][C]1.07351107096519e-05[/C][C]0.999994632444645[/C][/ROW]
[ROW][C]112[/C][C]3.54127132414759e-06[/C][C]7.08254264829519e-06[/C][C]0.999996458728676[/C][/ROW]
[ROW][C]113[/C][C]2.32189338924435e-06[/C][C]4.64378677848871e-06[/C][C]0.99999767810661[/C][/ROW]
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[ROW][C]116[/C][C]6.5910917268758e-07[/C][C]1.31821834537516e-06[/C][C]0.999999340890827[/C][/ROW]
[ROW][C]117[/C][C]4.22704330627279e-07[/C][C]8.45408661254558e-07[/C][C]0.99999957729567[/C][/ROW]
[ROW][C]118[/C][C]2.75955080694565e-07[/C][C]5.51910161389129e-07[/C][C]0.99999972404492[/C][/ROW]
[ROW][C]119[/C][C]2.15330693461613e-07[/C][C]4.30661386923226e-07[/C][C]0.999999784669307[/C][/ROW]
[ROW][C]120[/C][C]1.8604866596728e-07[/C][C]3.7209733193456e-07[/C][C]0.999999813951334[/C][/ROW]
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[ROW][C]122[/C][C]8.08116937413362e-07[/C][C]1.61623387482672e-06[/C][C]0.999999191883063[/C][/ROW]
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[ROW][C]253[/C][C]0.0157963197645172[/C][C]0.0315926395290344[/C][C]0.984203680235483[/C][/ROW]
[ROW][C]254[/C][C]0.0187167349744868[/C][C]0.0374334699489737[/C][C]0.981283265025513[/C][/ROW]
[ROW][C]255[/C][C]0.0213409266298475[/C][C]0.0426818532596951[/C][C]0.978659073370152[/C][/ROW]
[ROW][C]256[/C][C]0.021625163468703[/C][C]0.043250326937406[/C][C]0.978374836531297[/C][/ROW]
[ROW][C]257[/C][C]0.021961760131523[/C][C]0.0439235202630461[/C][C]0.978038239868477[/C][/ROW]
[ROW][C]258[/C][C]0.0206439234435909[/C][C]0.0412878468871818[/C][C]0.97935607655641[/C][/ROW]
[ROW][C]259[/C][C]0.019436596784392[/C][C]0.0388731935687839[/C][C]0.980563403215608[/C][/ROW]
[ROW][C]260[/C][C]0.018282444282777[/C][C]0.0365648885655539[/C][C]0.981717555717223[/C][/ROW]
[ROW][C]261[/C][C]0.0160985670608248[/C][C]0.0321971341216496[/C][C]0.983901432939175[/C][/ROW]
[ROW][C]262[/C][C]0.0138779305961318[/C][C]0.0277558611922637[/C][C]0.986122069403868[/C][/ROW]
[ROW][C]263[/C][C]0.0134152844319905[/C][C]0.026830568863981[/C][C]0.98658471556801[/C][/ROW]
[ROW][C]264[/C][C]0.0135177432046219[/C][C]0.0270354864092437[/C][C]0.986482256795378[/C][/ROW]
[ROW][C]265[/C][C]0.0154295260989068[/C][C]0.0308590521978135[/C][C]0.984570473901093[/C][/ROW]
[ROW][C]266[/C][C]0.0152893895227096[/C][C]0.0305787790454191[/C][C]0.98471061047729[/C][/ROW]
[ROW][C]267[/C][C]0.0140668481585514[/C][C]0.0281336963171027[/C][C]0.985933151841449[/C][/ROW]
[ROW][C]268[/C][C]0.011800366970639[/C][C]0.023600733941278[/C][C]0.98819963302936[/C][/ROW]
[ROW][C]269[/C][C]0.00964898435981776[/C][C]0.0192979687196355[/C][C]0.990351015640182[/C][/ROW]
[ROW][C]270[/C][C]0.00804276734184237[/C][C]0.0160855346836847[/C][C]0.991957232658158[/C][/ROW]
[ROW][C]271[/C][C]0.00671603186112958[/C][C]0.0134320637222592[/C][C]0.99328396813887[/C][/ROW]
[ROW][C]272[/C][C]0.00557038127130604[/C][C]0.0111407625426121[/C][C]0.994429618728694[/C][/ROW]
[ROW][C]273[/C][C]0.00480045163599543[/C][C]0.00960090327199086[/C][C]0.995199548364005[/C][/ROW]
[ROW][C]274[/C][C]0.00426137975265505[/C][C]0.00852275950531009[/C][C]0.995738620247345[/C][/ROW]
[ROW][C]275[/C][C]0.00396353627124114[/C][C]0.00792707254248228[/C][C]0.996036463728759[/C][/ROW]
[ROW][C]276[/C][C]0.00371475092917315[/C][C]0.00742950185834629[/C][C]0.996285249070827[/C][/ROW]
[ROW][C]277[/C][C]0.00340100260503555[/C][C]0.0068020052100711[/C][C]0.996598997394964[/C][/ROW]
[ROW][C]278[/C][C]0.00302306340714814[/C][C]0.00604612681429628[/C][C]0.996976936592852[/C][/ROW]
[ROW][C]279[/C][C]0.00263643702503083[/C][C]0.00527287405006166[/C][C]0.99736356297497[/C][/ROW]
[ROW][C]280[/C][C]0.00224671490371318[/C][C]0.00449342980742636[/C][C]0.997753285096287[/C][/ROW]
[ROW][C]281[/C][C]0.00187199750037595[/C][C]0.00374399500075189[/C][C]0.998128002499624[/C][/ROW]
[ROW][C]282[/C][C]0.00171729559536452[/C][C]0.00343459119072903[/C][C]0.998282704404636[/C][/ROW]
[ROW][C]283[/C][C]0.00161366652414033[/C][C]0.00322733304828067[/C][C]0.99838633347586[/C][/ROW]
[ROW][C]284[/C][C]0.00155037757509183[/C][C]0.00310075515018366[/C][C]0.998449622424908[/C][/ROW]
[ROW][C]285[/C][C]0.00144042819539401[/C][C]0.00288085639078801[/C][C]0.998559571804606[/C][/ROW]
[ROW][C]286[/C][C]0.00128311454875393[/C][C]0.00256622909750786[/C][C]0.998716885451246[/C][/ROW]
[ROW][C]287[/C][C]0.00116033620881015[/C][C]0.0023206724176203[/C][C]0.99883966379119[/C][/ROW]
[ROW][C]288[/C][C]0.00099309980724666[/C][C]0.00198619961449332[/C][C]0.999006900192753[/C][/ROW]
[ROW][C]289[/C][C]0.000820462528109234[/C][C]0.00164092505621847[/C][C]0.99917953747189[/C][/ROW]
[ROW][C]290[/C][C]0.000654297407065083[/C][C]0.00130859481413017[/C][C]0.999345702592935[/C][/ROW]
[ROW][C]291[/C][C]0.000517331408454547[/C][C]0.00103466281690909[/C][C]0.999482668591545[/C][/ROW]
[ROW][C]292[/C][C]0.000395139032103647[/C][C]0.000790278064207294[/C][C]0.999604860967896[/C][/ROW]
[ROW][C]293[/C][C]0.000292153407147843[/C][C]0.000584306814295686[/C][C]0.999707846592852[/C][/ROW]
[ROW][C]294[/C][C]0.000230175351631549[/C][C]0.000460350703263098[/C][C]0.999769824648368[/C][/ROW]
[ROW][C]295[/C][C]0.000178845314320246[/C][C]0.000357690628640492[/C][C]0.99982115468568[/C][/ROW]
[ROW][C]296[/C][C]0.000137602852308378[/C][C]0.000275205704616755[/C][C]0.999862397147692[/C][/ROW]
[ROW][C]297[/C][C]0.00010444856430435[/C][C]0.0002088971286087[/C][C]0.999895551435696[/C][/ROW]
[ROW][C]298[/C][C]7.78610969688504e-05[/C][C]0.000155722193937701[/C][C]0.999922138903031[/C][/ROW]
[ROW][C]299[/C][C]5.57735806067872e-05[/C][C]0.000111547161213574[/C][C]0.999944226419393[/C][/ROW]
[ROW][C]300[/C][C]4.04688735184164e-05[/C][C]8.09377470368328e-05[/C][C]0.999959531126482[/C][/ROW]
[ROW][C]301[/C][C]4.35977872951006e-05[/C][C]8.71955745902013e-05[/C][C]0.999956402212705[/C][/ROW]
[ROW][C]302[/C][C]4.50237122153242e-05[/C][C]9.00474244306484e-05[/C][C]0.999954976287785[/C][/ROW]
[ROW][C]303[/C][C]4.81828882952682e-05[/C][C]9.63657765905365e-05[/C][C]0.999951817111705[/C][/ROW]
[ROW][C]304[/C][C]4.33447121867853e-05[/C][C]8.66894243735706e-05[/C][C]0.999956655287813[/C][/ROW]
[ROW][C]305[/C][C]4.15129184511993e-05[/C][C]8.30258369023987e-05[/C][C]0.999958487081549[/C][/ROW]
[ROW][C]306[/C][C]4.3937568424457e-05[/C][C]8.7875136848914e-05[/C][C]0.999956062431576[/C][/ROW]
[ROW][C]307[/C][C]5.26607579116606e-05[/C][C]0.000105321515823321[/C][C]0.999947339242088[/C][/ROW]
[ROW][C]308[/C][C]6.5906195260862e-05[/C][C]0.000131812390521724[/C][C]0.99993409380474[/C][/ROW]
[ROW][C]309[/C][C]8.35980276708222e-05[/C][C]0.000167196055341644[/C][C]0.99991640197233[/C][/ROW]
[ROW][C]310[/C][C]0.000132385195584361[/C][C]0.000264770391168722[/C][C]0.999867614804416[/C][/ROW]
[ROW][C]311[/C][C]0.000221332527878355[/C][C]0.000442665055756711[/C][C]0.999778667472122[/C][/ROW]
[ROW][C]312[/C][C]0.000411582676251134[/C][C]0.000823165352502267[/C][C]0.999588417323749[/C][/ROW]
[ROW][C]313[/C][C]0.00144847269929643[/C][C]0.00289694539859287[/C][C]0.998551527300704[/C][/ROW]
[ROW][C]314[/C][C]0.00497333064488382[/C][C]0.00994666128976763[/C][C]0.995026669355116[/C][/ROW]
[ROW][C]315[/C][C]0.0199996200380527[/C][C]0.0399992400761055[/C][C]0.980000379961947[/C][/ROW]
[ROW][C]316[/C][C]0.061132883508454[/C][C]0.122265767016908[/C][C]0.938867116491546[/C][/ROW]
[ROW][C]317[/C][C]0.15585207578247[/C][C]0.31170415156494[/C][C]0.84414792421753[/C][/ROW]
[ROW][C]318[/C][C]0.349611472694736[/C][C]0.699222945389471[/C][C]0.650388527305264[/C][/ROW]
[ROW][C]319[/C][C]0.647662328162301[/C][C]0.704675343675397[/C][C]0.352337671837699[/C][/ROW]
[ROW][C]320[/C][C]0.926656661048379[/C][C]0.146686677903242[/C][C]0.0733433389516211[/C][/ROW]
[ROW][C]321[/C][C]0.99269176286407[/C][C]0.0146164742718615[/C][C]0.00730823713593074[/C][/ROW]
[ROW][C]322[/C][C]0.999940292166853[/C][C]0.00011941566629306[/C][C]5.97078331465301e-05[/C][/ROW]
[ROW][C]323[/C][C]0.999999965107944[/C][C]6.97841112963618e-08[/C][C]3.48920556481809e-08[/C][/ROW]
[ROW][C]324[/C][C]0.999999999999326[/C][C]1.3486287800617e-12[/C][C]6.74314390030851e-13[/C][/ROW]
[ROW][C]325[/C][C]0.999999999999904[/C][C]1.91466545653602e-13[/C][C]9.5733272826801e-14[/C][/ROW]
[ROW][C]326[/C][C]0.999999999999973[/C][C]5.48582628733212e-14[/C][C]2.74291314366606e-14[/C][/ROW]
[ROW][C]327[/C][C]0.99999999999995[/C][C]9.92858004591839e-14[/C][C]4.96429002295919e-14[/C][/ROW]
[ROW][C]328[/C][C]0.999999999999925[/C][C]1.50080651178775e-13[/C][C]7.50403255893875e-14[/C][/ROW]
[ROW][C]329[/C][C]0.999999999999962[/C][C]7.53232717590518e-14[/C][C]3.76616358795259e-14[/C][/ROW]
[ROW][C]330[/C][C]0.999999999999946[/C][C]1.07453032733337e-13[/C][C]5.37265163666684e-14[/C][/ROW]
[ROW][C]331[/C][C]0.999999999999863[/C][C]2.73200258438173e-13[/C][C]1.36600129219086e-13[/C][/ROW]
[ROW][C]332[/C][C]0.999999999999649[/C][C]7.02822907031705e-13[/C][C]3.51411453515853e-13[/C][/ROW]
[ROW][C]333[/C][C]0.999999999998965[/C][C]2.07006233604921e-12[/C][C]1.03503116802461e-12[/C][/ROW]
[ROW][C]334[/C][C]0.999999999996897[/C][C]6.20543893265341e-12[/C][C]3.10271946632671e-12[/C][/ROW]
[ROW][C]335[/C][C]0.999999999994636[/C][C]1.07286996605326e-11[/C][C]5.36434983026629e-12[/C][/ROW]
[ROW][C]336[/C][C]0.99999999998684[/C][C]2.63181667673306e-11[/C][C]1.31590833836653e-11[/C][/ROW]
[ROW][C]337[/C][C]0.999999999958063[/C][C]8.38734213553385e-11[/C][C]4.19367106776692e-11[/C][/ROW]
[ROW][C]338[/C][C]0.999999999920814[/C][C]1.58371383511765e-10[/C][C]7.91856917558825e-11[/C][/ROW]
[ROW][C]339[/C][C]0.999999999920103[/C][C]1.59794716703244e-10[/C][C]7.9897358351622e-11[/C][/ROW]
[ROW][C]340[/C][C]0.999999999762847[/C][C]4.74306454410179e-10[/C][C]2.37153227205089e-10[/C][/ROW]
[ROW][C]341[/C][C]0.999999999862214[/C][C]2.755718499058e-10[/C][C]1.377859249529e-10[/C][/ROW]
[ROW][C]342[/C][C]0.999999999699195[/C][C]6.0161002786799e-10[/C][C]3.00805013933995e-10[/C][/ROW]
[ROW][C]343[/C][C]0.99999999900485[/C][C]1.99030041685641e-09[/C][C]9.95150208428206e-10[/C][/ROW]
[ROW][C]344[/C][C]0.99999999591185[/C][C]8.17630029480715e-09[/C][C]4.08815014740358e-09[/C][/ROW]
[ROW][C]345[/C][C]0.999999987135937[/C][C]2.57281253578086e-08[/C][C]1.28640626789043e-08[/C][/ROW]
[ROW][C]346[/C][C]0.999999950882892[/C][C]9.82342156129856e-08[/C][C]4.91171078064928e-08[/C][/ROW]
[ROW][C]347[/C][C]0.99999977252841[/C][C]4.54943180670552e-07[/C][C]2.27471590335276e-07[/C][/ROW]
[ROW][C]348[/C][C]0.999998890682427[/C][C]2.21863514665162e-06[/C][C]1.10931757332581e-06[/C][/ROW]
[ROW][C]349[/C][C]0.99999527523036[/C][C]9.44953928232765e-06[/C][C]4.72476964116382e-06[/C][/ROW]
[ROW][C]350[/C][C]0.999996482226451[/C][C]7.03554709786452e-06[/C][C]3.51777354893226e-06[/C][/ROW]
[ROW][C]351[/C][C]0.999991199273105[/C][C]1.76014537902647e-05[/C][C]8.80072689513233e-06[/C][/ROW]
[ROW][C]352[/C][C]0.999958810084454[/C][C]8.23798310922404e-05[/C][C]4.11899155461202e-05[/C][/ROW]
[ROW][C]353[/C][C]0.999765195737345[/C][C]0.000469608525310551[/C][C]0.000234804262655276[/C][/ROW]
[ROW][C]354[/C][C]0.99970129491697[/C][C]0.000597410166061517[/C][C]0.000298705083030758[/C][/ROW]
[ROW][C]355[/C][C]0.998184692405011[/C][C]0.00363061518997744[/C][C]0.00181530759498872[/C][/ROW]
[ROW][C]356[/C][C]0.991833845944853[/C][C]0.0163323081102941[/C][C]0.00816615405514704[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147284&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147284&T=5

As an alternative you can also use a QR Code:

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

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
16	0.000399178512635826	0.000798357025271652	0.999600821487364
17	0.00545991681860455	0.0109198336372091	0.994540083181395
18	0.00411753782965192	0.00823507565930385	0.995882462170348
19	0.00637570237606128	0.0127514047521226	0.993624297623939
20	0.00338128175511517	0.00676256351023034	0.996618718244885
21	0.00135724937088816	0.00271449874177632	0.998642750629112
22	0.00114644940941755	0.0022928988188351	0.998853550590582
23	0.000420720753556694	0.000841441507113388	0.999579279246443
24	0.000145665302782798	0.000291330605565596	0.999854334697217
25	4.8561508624353e-05	9.7123017248706e-05	0.999951438491376
26	2.18707346218092e-05	4.37414692436183e-05	0.999978129265378
27	1.93823739557941e-05	3.87647479115883e-05	0.999980617626044
28	5.35346640480999e-05	0.0001070693280962	0.999946465335952
29	0.000189443590562915	0.000378887181125829	0.999810556409437
30	0.000444766373404704	0.000889532746809407	0.999555233626595
31	0.0016806105188261	0.00336122103765221	0.998319389481174
32	0.00676285371772786	0.0135257074354557	0.993237146282272
33	0.0122129188737802	0.0244258377475605	0.98778708112622
34	0.0254733374816814	0.0509466749633628	0.974526662518319
35	0.0314085519118058	0.0628171038236116	0.968591448088194
36	0.0377129535930308	0.0754259071860616	0.96228704640697
37	0.05800570427693	0.11601140855386	0.94199429572307
38	0.102490982662226	0.204981965324452	0.897509017337774
39	0.138726256395225	0.277452512790451	0.861273743604775
40	0.169503466453696	0.339006932907391	0.830496533546304
41	0.188670521824274	0.377341043648548	0.811329478175726
42	0.200514187195144	0.401028374390289	0.799485812804856
43	0.213531737636849	0.427063475273698	0.786468262363151
44	0.208208345144114	0.416416690288228	0.791791654855886
45	0.185744988547286	0.371489977094572	0.814255011452714
46	0.161520532640513	0.323041065281026	0.838479467359487
47	0.136163681642835	0.27232736328567	0.863836318357165
48	0.120646139894827	0.241292279789654	0.879353860105173
49	0.103316653160991	0.206633306321982	0.89668334683901
50	0.09043245520783	0.18086491041566	0.90956754479217
51	0.0801768997009603	0.160353799401921	0.91982310029904
52	0.066773071645181	0.133546143290362	0.93322692835482
53	0.053576113671498	0.107152227342996	0.946423886328502
54	0.0438596203765383	0.0877192407530766	0.956140379623462
55	0.0350823770058382	0.0701647540116763	0.964917622994162
56	0.0268112819413435	0.053622563882687	0.973188718058656
57	0.0203822206239281	0.0407644412478562	0.979617779376072
58	0.0154841434686789	0.0309682869373578	0.984515856531321
59	0.0117379677617546	0.0234759355235092	0.988262032238245
60	0.00897149261060916	0.0179429852212183	0.99102850738939
61	0.00659815355483015	0.0131963071096603	0.99340184644517
62	0.0052258482619313	0.0104516965238626	0.994774151738069
63	0.00395384948428136	0.00790769896856273	0.996046150515719
64	0.00281760532317323	0.00563521064634646	0.997182394676827
65	0.00200205640836716	0.00400411281673433	0.997997943591633
66	0.00150501656383119	0.00301003312766237	0.998494983436169
67	0.00111407115071733	0.00222814230143465	0.998885928849283
68	0.000789616676108044	0.00157923335221609	0.999210383323892
69	0.000540613908012835	0.00108122781602567	0.999459386091987
70	0.00037121434223006	0.000742428684460119	0.99962878565777
71	0.000272738233522255	0.00054547646704451	0.999727261766478
72	0.000233191255085327	0.000466382510170655	0.999766808744915
73	0.000411839639189724	0.000823679278379447	0.99958816036081
74	0.000876514219583316	0.00175302843916663	0.999123485780417
75	0.00219429504498294	0.00438859008996588	0.997805704955017
76	0.00489972790920427	0.00979945581840855	0.995100272090796
77	0.00905097351948602	0.018101947038972	0.990949026480514
78	0.0113739350083113	0.0227478700166226	0.988626064991689
79	0.0135848810265822	0.0271697620531644	0.986415118973418
80	0.0167288160530486	0.0334576321060971	0.983271183946951
81	0.0207380419401109	0.0414760838802217	0.97926195805989
82	0.0208297002607997	0.0416594005215994	0.9791702997392
83	0.0205092756098906	0.0410185512197812	0.97949072439011
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333	0.999999999998965	2.07006233604921e-12	1.03503116802461e-12
334	0.999999999996897	6.20543893265341e-12	3.10271946632671e-12
335	0.999999999994636	1.07286996605326e-11	5.36434983026629e-12
336	0.99999999998684	2.63181667673306e-11	1.31590833836653e-11
337	0.999999999958063	8.38734213553385e-11	4.19367106776692e-11
338	0.999999999920814	1.58371383511765e-10	7.91856917558825e-11
339	0.999999999920103	1.59794716703244e-10	7.9897358351622e-11
340	0.999999999762847	4.74306454410179e-10	2.37153227205089e-10
341	0.999999999862214	2.755718499058e-10	1.377859249529e-10
342	0.999999999699195	6.0161002786799e-10	3.00805013933995e-10
343	0.99999999900485	1.99030041685641e-09	9.95150208428206e-10
344	0.99999999591185	8.17630029480715e-09	4.08815014740358e-09
345	0.999999987135937	2.57281253578086e-08	1.28640626789043e-08
346	0.999999950882892	9.82342156129856e-08	4.91171078064928e-08
347	0.99999977252841	4.54943180670552e-07	2.27471590335276e-07
348	0.999998890682427	2.21863514665162e-06	1.10931757332581e-06
349	0.99999527523036	9.44953928232765e-06	4.72476964116382e-06
350	0.999996482226451	7.03554709786452e-06	3.51777354893226e-06
351	0.999991199273105	1.76014537902647e-05	8.80072689513233e-06
352	0.999958810084454	8.23798310922404e-05	4.11899155461202e-05
353	0.999765195737345	0.000469608525310551	0.000234804262655276
354	0.99970129491697	0.000597410166061517	0.000298705083030758
355	0.998184692405011	0.00363061518997744	0.00181530759498872
356	0.991833845944853	0.0163323081102941	0.00816615405514704

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

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 213 & 0.624633431085044 & NOK \tabularnewline
5% type I error level & 277 & 0.812316715542522 & NOK \tabularnewline
10% type I error level & 302 & 0.885630498533724 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147284&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]213[/C][C]0.624633431085044[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]277[/C][C]0.812316715542522[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]302[/C][C]0.885630498533724[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147284&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147284&T=6

As an alternative you can also use a QR Code:

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

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

Figure 1

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Figure 8

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Figure 9

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Figure 10

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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')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code