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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationThu, 24 Nov 2011 08:12:56 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/24/t1322140410uqbq9urfagmuevo.htm/, Retrieved Tue, 16 Apr 2024 05:52:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=146756, Retrieved Tue, 16 Apr 2024 05:52:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact121

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [invloed op verkoc...] [2011-11-24 13:12:56] [0f3e8e7e39f9d04dccdcd37cd9447b26] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
20	35	54	70
25	38	57	90
37	56	74	94
30	62	56	122
32	51	75	103
48	71	84	93
34	77	115	116
47	62	78	103
30	55	96	94
28	55	72	86
34	46	71	116
51	74	123	117
26	33	60	85
39	50	86	110
24	62	72	94
30	51	71	94
23	37	85	83
36	49	62	92
45	64	97	87
37	51	93	101
32	47	88	97
32	56	87	84
35	53	85	32
49	47	107	26
48	75	96	39
62	86	94	40
55	66	97	48
50	77	114	37
56	103	135	38
63	73	88	34
48	59	99	27
53	78	111	44
41	84	112	41
76	118	149	54
32	67	80	27
38	73	98	27
53	78	110	31
41	66	129	33
42	68	117	34
46	71	103	33
54	97	110	27
55	72	102	37
46	86	101	31
53	66	89	34
30	43	57	27
48	66	55	21
28	71	66	42
45	88	80	41
41	75	77	30
44	69	74	42
40	86	95	22
40	77	83	34
31	66	61	31
32	58	82	26
40	68	74	38
50	86	121	41
36	55	47	26
32	61	66	35
36	82	79	27
36	70	74	24
25	61	67	37
33	53	80	29
40	70	88	23
42	63	69	26
40	65	84	26
28	65	95	30
66	72	65	84
98	81	68	47
113	129	81	88
114	132	102	88
92	114	95	77
107	117	113	100
140	161	105	122
99	117	78	76
97	115	89	73
85	116	93	68
105	128	81	90
135	161	120	127
77	86	66	71
91	115	63	82
108	102	103	90
117	117	97	78
92	91	99	65
99	115	90	76
126	150	120	87
119	120	94	58
95	107	72	75
88	88	89	75
37	13	23	24
34	13	22	23
39	10	17	26
43	21	15	34
48	15	13	21
41	12	11	27
43	15	18	19
41	17	15	54
38	16	8	35
38	13	19	27
37	14	11	25
53	18	22	37
26	9	19	23
26	7	12	19
36	16	28	27
32	11	18	18
36	13	17	23
32	11	19	16
26	15	15	17
35	12	21	18
40	20	18	27
40	8	16	39
116	111	156	157
143	169	135	202
173	191	172	266
160	210	204	246
145	164	147	240
167	187	172	254
216	250	196	284
144	166	143	246
153	202	185	234
154	190	184	243
174	164	159	219
242	258	236	340
119	142	135	185
165	147	147	204
169	189	173	229
145	167	165	216
162	177	160	190
173	185	157	185
159	190	196	212
155	185	185	206
161	195	219	205
146	197	165	207
61	45	30	190
88	52	22	243
120	64	37	370
134	79	50	279
92	60	38	280
118	64	49	279
141	87	40	330
116	68	43	300
105	76	41	257
111	79	31	306
83	65	44	287
155	99	49	356
73	61	37	249
80	69	51	279
112	83	50	230
107	76	41	267
107	65	41	257
92	70	38	237
94	81	49	254
95	76	48	296
114	67	48	283
89	71	52	231
139	63	70	779
160	96	67	819
198	107	113	985
177	121	107	969
161	106	72	846
210	89	114	923
238	142	125	961
225	124	107	923
195	108	96	868
200	123	109	814
194	112	91	856
270	120	125	1 174
154	86	85	763
166	92	82	802
200	121	101	924
178	105	113	870
192	121	105	897
188	121	99	840
211	124	94	854
168	105	96	911
178	106	130	920
177	99	103	821
205	69	45	937
186	72	76	1 000
276	95	74	1 282
256	98	99	1 232
253	70	70	1 104
256	94	84	1 174
279	113	98	1 198
249	85	85	1 010
224	94	80	1 051
219	91	70	1 048
253	80	88	1 119
342	138	117	1 491
193	83	72	951
246	94	66	1 055
224	90	98	1 044
261	97	79	1 086
288	93	83	1 059
255	82	85	1 015
248	96	87	934
272	95	99	1 007
267	83	110	1 008
205	75	81	1 052
27	25	49	18
40	41	50	27
32	43	59	29
35	44	57	33
46	37	58	32
42	37	76	33
45	54	60	42
47	35	51	25
25	42	66	33
30	44	64	34
45	39	78	24
63	63	86	30
31	37	59	22
37	40	67	24
40	48	57	30
50	47	73	27
51	38	63	32
36	52	60	24
42	42	61	29
46	42	59	17
37	33	62	28
55	38	66	32
159	117	126	204
218	121	131	215
242	187	144	324
234	171	168	311
213	145	182	263
255	160	164	304
310	186	224	255
226	148	153	230
238	152	168	211
218	152	142	228
231	132	143	225
331	246	224	307
197	134	144	230
218	160	146	271
239	175	174	244
223	170	184	236
204	178	181	224
203	134	139	216
261	157	183	232
215	167	157	207
248	162	207	228
206	157	141	198
85	67	53	75
84	87	58	83
128	105	71	128
106	118	76	87
103	112	69	91
101	109	77	109
130	128	100	101
109	127	87	93
87	97	73	85
76	130	100	83
122	109	67	106
162	185	111	137
91	71	72	70
104	90	75	73
102	95	89	82
114	113	87	107
96	107	83	89
103	117	83	92
81	120	92	87
104	114	85	91
113	96	92	93
111	109	83	74

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time7 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\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 & 7 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146756&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]7 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146756&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146756&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time7 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.






Multiple Linear Regression - Estimated Regression Equation
appartement [t] = + 64.7936916275746 + 0.0373966121594485hoekwoning[t] + 0.589152730138848`2onder1kap`[t] + 0.261074582594516vrijstaand[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
appartement
[t] =  +  64.7936916275746 +  0.0373966121594485hoekwoning[t] +  0.589152730138848`2onder1kap`[t] +  0.261074582594516vrijstaand[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146756&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]appartement
[t] =  +  64.7936916275746 +  0.0373966121594485hoekwoning[t] +  0.589152730138848`2onder1kap`[t] +  0.261074582594516vrijstaand[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146756&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146756&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
appartement [t] = + 64.7936916275746 + 0.0373966121594485hoekwoning[t] + 0.589152730138848`2onder1kap`[t] + 0.261074582594516vrijstaand[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)64.793691627574623.8944122.71170.0071410.00357
hoekwoning0.03739661215944850.0801110.46680.6410270.320514
`2onder1kap`0.5891527301388480.2796812.10650.0361180.018059
vrijstaand0.2610745825945160.2503111.0430.2979170.148959

\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) & 64.7936916275746 & 23.894412 & 2.7117 & 0.007141 & 0.00357 \tabularnewline
hoekwoning & 0.0373966121594485 & 0.080111 & 0.4668 & 0.641027 & 0.320514 \tabularnewline
`2onder1kap` & 0.589152730138848 & 0.279681 & 2.1065 & 0.036118 & 0.018059 \tabularnewline
vrijstaand & 0.261074582594516 & 0.250311 & 1.043 & 0.297917 & 0.148959 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146756&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]64.7936916275746[/C][C]23.894412[/C][C]2.7117[/C][C]0.007141[/C][C]0.00357[/C][/ROW]
[ROW][C]hoekwoning[/C][C]0.0373966121594485[/C][C]0.080111[/C][C]0.4668[/C][C]0.641027[/C][C]0.320514[/C][/ROW]
[ROW][C]`2onder1kap`[/C][C]0.589152730138848[/C][C]0.279681[/C][C]2.1065[/C][C]0.036118[/C][C]0.018059[/C][/ROW]
[ROW][C]vrijstaand[/C][C]0.261074582594516[/C][C]0.250311[/C][C]1.043[/C][C]0.297917[/C][C]0.148959[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146756&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146756&T=2

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


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)64.793691627574623.8944122.71170.0071410.00357
hoekwoning0.03739661215944850.0801110.46680.6410270.320514
`2onder1kap`0.5891527301388480.2796812.10650.0361180.018059
vrijstaand0.2610745825945160.2503111.0430.2979170.148959






Multiple Linear Regression - Regression Statistics
Multiple R0.256213919373678
R-squared0.0656455724808217
Adjusted R-squared0.0548645598556005
F-TEST (value)6.08899875761664
F-TEST (DF numerator)3
F-TEST (DF denominator)260
p-value0.000510170901114049
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation183.230497825042
Sum Squared Residuals8729087.9866353

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.256213919373678 \tabularnewline
R-squared & 0.0656455724808217 \tabularnewline
Adjusted R-squared & 0.0548645598556005 \tabularnewline
F-TEST (value) & 6.08899875761664 \tabularnewline
F-TEST (DF numerator) & 3 \tabularnewline
F-TEST (DF denominator) & 260 \tabularnewline
p-value & 0.000510170901114049 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 183.230497825042 \tabularnewline
Sum Squared Residuals & 8729087.9866353 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146756&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.256213919373678[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0656455724808217[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.0548645598556005[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]6.08899875761664[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]3[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]260[/C][/ROW]
[ROW][C]p-value[/C][C]0.000510170901114049[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]183.230497825042[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]8729087.9866353[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146756&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146756&T=3

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


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

Multiple Linear Regression - Regression Statistics
Multiple R0.256213919373678
R-squared0.0656455724808217
Adjusted R-squared0.0548645598556005
F-TEST (value)6.08899875761664
F-TEST (DF numerator)3
F-TEST (DF denominator)260
p-value0.000510170901114049
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation183.230497825042
Sum Squared Residuals8729087.9866353






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
170100.259996885727-30.2599968857269
290102.997661884724-12.9976618847244
394118.489438277244-24.4894382772438
4122117.063235886264.93676411374045
5103115.617766148347-12.6177661483469
693130.348837789026-37.3488377890257
7116141.453513660056-25.4535136600565
8103123.44261911005-20.4426191100495
994123.382150079068-29.3821500790682
1086117.041566872481-31.0415668724809
11116111.7024973915934.29750260840651
12117142.410394537107-25.4103945371067
1385100.872518593973-15.8725185939732
14110118.162210111864-8.16221011186386
1594121.016049534815-27.0160495348151
1694114.49867459365-20.4986745936499
1783109.643804242913-26.6438042429131
1892111.195077562978-19.1950775629783
1987129.506548415304-42.5065484153041
20101120.504091695845-19.5040916958454
2197116.65512480152-19.6551248015202
2284121.696424790175-37.6964247901753
2332119.519007271048-87.5190072710481
2426122.251284277527-96.2512842775266
2539135.838343700715-96.8383437007152
2640142.320427137286-102.320427137286
2748131.058819997176-83.0588199971763
2837141.790784872013-104.790784872013
2938162.815701763065-124.815701763065
3034133.132390762073-99.1323907620732
3127127.195123766277-100.195123766277
3244141.708903690847-97.7089036908468
3341145.056135308361-104.056135308361
3454176.05596911466-122.05596911466
3527126.349582743541-99.349582743541
3627134.808221284032-107.808221284032
3731141.447829108252-110.447829108252
3833138.889654069969-105.889654069969
3934136.972461151271-102.972461151271
4033135.234461634003-102.234461634003
4127152.67912759305-125.67912759305
4237135.899109290982-98.8991092909819
4331143.549603420896-112.549603420896
4434128.895430112101-94.8954301121013
4527106.130408596216-79.1304085962159
4621119.83191124309-98.8319112430905
4742124.901563059135-82.9015630591354
4841139.20794603453-98.2079460345297
4930130.616150346303-100.616150346303
5042126.410200054165-84.410200054165
5122141.758776252372-119.758776252372
5234133.323506689989-99.3235066899886
5331120.762616331947-89.7626163319469
5426121.56935733748-95.5693573374804
5538125.671460875388-87.6714608753884
5641148.920681521424-107.920681521424
5726110.813875204894-84.8138752048936
5835119.159622206385-84.1596222063847
5927135.075385561667-108.075385561667
6024126.700179887028-102.700179887028
6137119.158920503863-82.1589205038631
6229118.138841133757-89.1388411337566
6323130.504810491989-107.504810491989
6426121.49511753604-95.4951175360404
6526126.514748510917-100.514748510917
6630128.937809573543-98.9378095735433
6784126.650712468739-42.6507124687388
6847133.933002376874-86.9330023768743
6988166.167252179659-78.1672521796595
7088173.45467321672-85.4546732167203
7177160.199676528552-83.1996765285515
72100167.227426388061-67.2274263880611
73122192.295638054676-70.2956380546761
7476157.790643099977-81.7906430999774
7573159.40936482392-86.4093648239205
7668160.594056538524-92.5940565385241
7790165.278926552245-75.278926552245
78127196.024773732797-69.0247737327966
7971135.571288007031-64.5712880070311
8082152.397046003506-70.3970460035064
8190155.816786222193-65.8167862221927
8278163.424199188143-85.4241991881433
8365147.693462065736-82.6934620657361
8476159.745232630834-83.7452326308339
8587189.207524191834-102.207524191834
8658164.483226855095-106.483226855095
8775150.183081854384-75.1830818543841
8875143.165671600737-68.1656716007366
892479.8410671689531-55.8410671689531
902379.4678027498802-56.4678027498802
912676.5819547072883-50.5819547072883
923482.6900720222644-48.6900720222644
932178.8199895370395-57.8199895370395
942776.2686058963178-49.2686058963178
951979.9383793892149-60.9383793892149
965480.2586678773901-26.2586678773901
973577.7298032326113-42.7298032326113
982778.8341654507345-51.8341654507345
992577.2973249079577-52.2973249079577
1003783.124102031604-46.124102031604
1012376.0287951842657-53.0287951842657
1021973.0229676458264-54.0229676458264
1032782.8765016601828-55.8765016601828
1041877.1704057349056-59.1704057349056
1052378.2372230612265-55.2372230612265
1061677.4314803175001-61.4314803175001
1071778.5194132347207-61.5194132347207
1081878.6549720493063-60.6549720493063
1092782.7719532034308-55.7719532034308
1103975.1799712765756-36.1799712765756
111157175.255286568227-18.2552865682272
112202204.953287210101-2.95328721010071
113266228.69630519393637.3036948060641
114246247.758437751526-1.75843775152569
115240205.2152117748634.7847882251404
116254226.11531460042427.8846853995762
117284271.33016057725312.6698394227474
118246205.311822292640.6881777074003
119234237.823022556003-3.82302255600297
120243230.52951182390212.4704881760983
121219209.4326085186189.56739148138224
122340287.4586776382952.5413223617103
123185188.148644804525-3.14864480452505
124204195.9475476056888.05245239431189
125229227.6294878676151.37051213238507
126216211.6820124519774.31798754802261
127190216.903909247104-26.9039092471039
128185221.245270074185-36.2452700741851
129212233.849389875833-21.8493898758332
130206227.882219367961-21.8822193679615
131205242.87466215052-37.8746621505202
132207229.393990968302-22.3939909683023
133190101.41899530338588.5810046966154
134243104.464176281906138.535823718094
135370116.646819371592253.353180628408
136279129.401632467636149.598367532364
137280113.504177893166166.495822106834
138279119.704921138407159.295078861593
139330131.765884767917198.234115232083
140300120.420291339076179.579708660924
141257124.200001281244132.799998718756
142306123.581093318672182.418906681328
143287117.679819529993169.320180470007
144356141.708941343166214.291058656834
145249113.121720409681135.878279590319
146279121.751762692231157.248237307769
147230130.93551792068399.064482079317
148267124.274794505563142.725205494437
149257117.794114474036139.205885525964
150237119.395705194555117.604294805445
151254128.822998858941125.177001141059
152296125.653557237811170.346442762189
153283121.061718297591161.938281702409
154231123.527712244539107.472287755461
155779125.383663498101653.616336501899
156819144.827808700248674.172191299752
157985164.738990793182820.261009206818
158969170.635352664211798.364647335789
159846152.062105526769693.937894473231
160923154.844075579191768.155924420809
161961189.988095825554771.011904174446
162923174.197848238281748.802151761719
163868160.777685782736707.222314217264
164814173.195929369345640.804070630655
165856161.791527178159694.208472821841
1661178.223427351602-177.223427351602
16785184.48263668783-99.4826366878296
16882215.145521506978-133.145521506978
169101244.206345101158-143.206345101158
170113231.630178400044-118.630178400044
171105242.03609288689-137.03609288689
17299240.68919049464-141.68919049464
17394252.891320142528-158.891320142528
17496223.120888247494-127.120888247494
175130231.405097024566-101.405097024566
176103229.3249917257-126.3249917257
17745234.286766087967-189.286766087967
17876228.214094973609-152.214094973609
17995136.88767303582-41.8876730358204
180256141.773225949166114.226774050834
181232127.045754485541104.954245514459
1821133.770946395251-132.770946395251
18384244.047048971587-160.047048971587
184113240.183471827764-127.183471827764
185249120.740479703054128.259520296946
18610118.311460305524-108.311460305524
1871149.436855991904-148.436855991904
18870219.483153764215-149.483153764215
18980159.162288682811-79.1622886828113
19034299.7416215564923242.258378443508
191491139.146368114418351.853631885582
192951139.708284322678811.291715677322
1931146.604537303089-145.604537303089
19498222.317429280953-124.317429280953
19597158.894274423012-61.894274423012
19628890.7895908214383197.210409178562
19759117.432327742522-58.4323277425222
1981144.831691120153-143.831691120153
19987236.527677813474-149.527677813474
20099284.773755328745-185.773755328745
20183138.662070903442-55.6620709034417
20220571.5850683560089133.414931643991
20352115.580883263374-63.5808832633744
2041893.3248729564822-75.3248729564822
20527103.498547179371-76.4985471793711
20629106.727350985724-77.7273509857238
20733106.906544387152-73.906544387152
20832103.454912592529-71.4549125925285
20933108.004668630592-75.004668630592
21042113.955261557919-71.9552615579185
21125100.486481666249-75.4864816662487
21233107.70394404863-74.7039440486305
21334108.547083404516-74.5470834045164
21424109.817313092537-85.8173130925371
21530126.718714295496-96.7187142954956
21622103.155037992731-81.1550379927313
21724107.235472516861-83.2354725168607
21830109.450138368505-79.4501383685046
21927113.412145081473-86.4121450814725
22032105.536421296437-73.5364212964372
22124112.440386588206-88.4403865882058
22229107.034313542369-78.0343135423685
22317106.661750825817-89.6617508258173
22428101.806030492916-73.8060304929162
22532106.469231492859-74.4692314928585
226204172.56601979408131.4339802059189
227215178.43440374501736.5655962549834
228324221.609972199736102.390027800264
229311218.15014560250792.8498543974928
230263205.70188991987257.298110080128
231304211.4104960959592.5895039040497
232255244.44975570400110.5502442959991
233230200.3843411731229.6156588268796
234211207.1058301785073.89416982149308
235228199.56995878786128.4300412121395
236225188.53413472575136.4658652742491
237307280.5842483676826.4157516323197
238230188.70202995520241.2979700447981
239271205.32747895934965.6725210406506
240244222.26018707942721.739812920573
241236221.32682346012714.6731765398733
242224224.546285922424-0.54628592242443
243216187.62103671518628.378963284814
244232214.82783464778617.1721653522138
245207212.211178642383-5.21117864238266
246228223.5532323226764.44676767732399
247198201.805888510047-3.80588851004689
24875121.28258945794-46.2825894579399
24983134.33362036153-51.33362036153
250128149.977790012774-21.9777900127737
25187158.119422950043-71.1194229500434
25291152.64479465457-61.6447946545704
253109152.891139900591-43.8911399005911
254101171.174258925527-70.1742589255271
25593166.405807766311-73.4058077663111
25685144.253456238315-59.2534562383145
25783170.333147329195-87.3331473291945
258106151.065722929994-45.0657229299943
259137208.824476541083-71.8244765410834
26070128.823997120748-58.8239971207478
26173141.287278699242-68.2872786992422
26282147.813293281941-65.8132932819408
263107158.344652605164-51.3446526051644
26489153.092298875083-64.0922988750832

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 70 & 100.259996885727 & -30.2599968857269 \tabularnewline
2 & 90 & 102.997661884724 & -12.9976618847244 \tabularnewline
3 & 94 & 118.489438277244 & -24.4894382772438 \tabularnewline
4 & 122 & 117.06323588626 & 4.93676411374045 \tabularnewline
5 & 103 & 115.617766148347 & -12.6177661483469 \tabularnewline
6 & 93 & 130.348837789026 & -37.3488377890257 \tabularnewline
7 & 116 & 141.453513660056 & -25.4535136600565 \tabularnewline
8 & 103 & 123.44261911005 & -20.4426191100495 \tabularnewline
9 & 94 & 123.382150079068 & -29.3821500790682 \tabularnewline
10 & 86 & 117.041566872481 & -31.0415668724809 \tabularnewline
11 & 116 & 111.702497391593 & 4.29750260840651 \tabularnewline
12 & 117 & 142.410394537107 & -25.4103945371067 \tabularnewline
13 & 85 & 100.872518593973 & -15.8725185939732 \tabularnewline
14 & 110 & 118.162210111864 & -8.16221011186386 \tabularnewline
15 & 94 & 121.016049534815 & -27.0160495348151 \tabularnewline
16 & 94 & 114.49867459365 & -20.4986745936499 \tabularnewline
17 & 83 & 109.643804242913 & -26.6438042429131 \tabularnewline
18 & 92 & 111.195077562978 & -19.1950775629783 \tabularnewline
19 & 87 & 129.506548415304 & -42.5065484153041 \tabularnewline
20 & 101 & 120.504091695845 & -19.5040916958454 \tabularnewline
21 & 97 & 116.65512480152 & -19.6551248015202 \tabularnewline
22 & 84 & 121.696424790175 & -37.6964247901753 \tabularnewline
23 & 32 & 119.519007271048 & -87.5190072710481 \tabularnewline
24 & 26 & 122.251284277527 & -96.2512842775266 \tabularnewline
25 & 39 & 135.838343700715 & -96.8383437007152 \tabularnewline
26 & 40 & 142.320427137286 & -102.320427137286 \tabularnewline
27 & 48 & 131.058819997176 & -83.0588199971763 \tabularnewline
28 & 37 & 141.790784872013 & -104.790784872013 \tabularnewline
29 & 38 & 162.815701763065 & -124.815701763065 \tabularnewline
30 & 34 & 133.132390762073 & -99.1323907620732 \tabularnewline
31 & 27 & 127.195123766277 & -100.195123766277 \tabularnewline
32 & 44 & 141.708903690847 & -97.7089036908468 \tabularnewline
33 & 41 & 145.056135308361 & -104.056135308361 \tabularnewline
34 & 54 & 176.05596911466 & -122.05596911466 \tabularnewline
35 & 27 & 126.349582743541 & -99.349582743541 \tabularnewline
36 & 27 & 134.808221284032 & -107.808221284032 \tabularnewline
37 & 31 & 141.447829108252 & -110.447829108252 \tabularnewline
38 & 33 & 138.889654069969 & -105.889654069969 \tabularnewline
39 & 34 & 136.972461151271 & -102.972461151271 \tabularnewline
40 & 33 & 135.234461634003 & -102.234461634003 \tabularnewline
41 & 27 & 152.67912759305 & -125.67912759305 \tabularnewline
42 & 37 & 135.899109290982 & -98.8991092909819 \tabularnewline
43 & 31 & 143.549603420896 & -112.549603420896 \tabularnewline
44 & 34 & 128.895430112101 & -94.8954301121013 \tabularnewline
45 & 27 & 106.130408596216 & -79.1304085962159 \tabularnewline
46 & 21 & 119.83191124309 & -98.8319112430905 \tabularnewline
47 & 42 & 124.901563059135 & -82.9015630591354 \tabularnewline
48 & 41 & 139.20794603453 & -98.2079460345297 \tabularnewline
49 & 30 & 130.616150346303 & -100.616150346303 \tabularnewline
50 & 42 & 126.410200054165 & -84.410200054165 \tabularnewline
51 & 22 & 141.758776252372 & -119.758776252372 \tabularnewline
52 & 34 & 133.323506689989 & -99.3235066899886 \tabularnewline
53 & 31 & 120.762616331947 & -89.7626163319469 \tabularnewline
54 & 26 & 121.56935733748 & -95.5693573374804 \tabularnewline
55 & 38 & 125.671460875388 & -87.6714608753884 \tabularnewline
56 & 41 & 148.920681521424 & -107.920681521424 \tabularnewline
57 & 26 & 110.813875204894 & -84.8138752048936 \tabularnewline
58 & 35 & 119.159622206385 & -84.1596222063847 \tabularnewline
59 & 27 & 135.075385561667 & -108.075385561667 \tabularnewline
60 & 24 & 126.700179887028 & -102.700179887028 \tabularnewline
61 & 37 & 119.158920503863 & -82.1589205038631 \tabularnewline
62 & 29 & 118.138841133757 & -89.1388411337566 \tabularnewline
63 & 23 & 130.504810491989 & -107.504810491989 \tabularnewline
64 & 26 & 121.49511753604 & -95.4951175360404 \tabularnewline
65 & 26 & 126.514748510917 & -100.514748510917 \tabularnewline
66 & 30 & 128.937809573543 & -98.9378095735433 \tabularnewline
67 & 84 & 126.650712468739 & -42.6507124687388 \tabularnewline
68 & 47 & 133.933002376874 & -86.9330023768743 \tabularnewline
69 & 88 & 166.167252179659 & -78.1672521796595 \tabularnewline
70 & 88 & 173.45467321672 & -85.4546732167203 \tabularnewline
71 & 77 & 160.199676528552 & -83.1996765285515 \tabularnewline
72 & 100 & 167.227426388061 & -67.2274263880611 \tabularnewline
73 & 122 & 192.295638054676 & -70.2956380546761 \tabularnewline
74 & 76 & 157.790643099977 & -81.7906430999774 \tabularnewline
75 & 73 & 159.40936482392 & -86.4093648239205 \tabularnewline
76 & 68 & 160.594056538524 & -92.5940565385241 \tabularnewline
77 & 90 & 165.278926552245 & -75.278926552245 \tabularnewline
78 & 127 & 196.024773732797 & -69.0247737327966 \tabularnewline
79 & 71 & 135.571288007031 & -64.5712880070311 \tabularnewline
80 & 82 & 152.397046003506 & -70.3970460035064 \tabularnewline
81 & 90 & 155.816786222193 & -65.8167862221927 \tabularnewline
82 & 78 & 163.424199188143 & -85.4241991881433 \tabularnewline
83 & 65 & 147.693462065736 & -82.6934620657361 \tabularnewline
84 & 76 & 159.745232630834 & -83.7452326308339 \tabularnewline
85 & 87 & 189.207524191834 & -102.207524191834 \tabularnewline
86 & 58 & 164.483226855095 & -106.483226855095 \tabularnewline
87 & 75 & 150.183081854384 & -75.1830818543841 \tabularnewline
88 & 75 & 143.165671600737 & -68.1656716007366 \tabularnewline
89 & 24 & 79.8410671689531 & -55.8410671689531 \tabularnewline
90 & 23 & 79.4678027498802 & -56.4678027498802 \tabularnewline
91 & 26 & 76.5819547072883 & -50.5819547072883 \tabularnewline
92 & 34 & 82.6900720222644 & -48.6900720222644 \tabularnewline
93 & 21 & 78.8199895370395 & -57.8199895370395 \tabularnewline
94 & 27 & 76.2686058963178 & -49.2686058963178 \tabularnewline
95 & 19 & 79.9383793892149 & -60.9383793892149 \tabularnewline
96 & 54 & 80.2586678773901 & -26.2586678773901 \tabularnewline
97 & 35 & 77.7298032326113 & -42.7298032326113 \tabularnewline
98 & 27 & 78.8341654507345 & -51.8341654507345 \tabularnewline
99 & 25 & 77.2973249079577 & -52.2973249079577 \tabularnewline
100 & 37 & 83.124102031604 & -46.124102031604 \tabularnewline
101 & 23 & 76.0287951842657 & -53.0287951842657 \tabularnewline
102 & 19 & 73.0229676458264 & -54.0229676458264 \tabularnewline
103 & 27 & 82.8765016601828 & -55.8765016601828 \tabularnewline
104 & 18 & 77.1704057349056 & -59.1704057349056 \tabularnewline
105 & 23 & 78.2372230612265 & -55.2372230612265 \tabularnewline
106 & 16 & 77.4314803175001 & -61.4314803175001 \tabularnewline
107 & 17 & 78.5194132347207 & -61.5194132347207 \tabularnewline
108 & 18 & 78.6549720493063 & -60.6549720493063 \tabularnewline
109 & 27 & 82.7719532034308 & -55.7719532034308 \tabularnewline
110 & 39 & 75.1799712765756 & -36.1799712765756 \tabularnewline
111 & 157 & 175.255286568227 & -18.2552865682272 \tabularnewline
112 & 202 & 204.953287210101 & -2.95328721010071 \tabularnewline
113 & 266 & 228.696305193936 & 37.3036948060641 \tabularnewline
114 & 246 & 247.758437751526 & -1.75843775152569 \tabularnewline
115 & 240 & 205.21521177486 & 34.7847882251404 \tabularnewline
116 & 254 & 226.115314600424 & 27.8846853995762 \tabularnewline
117 & 284 & 271.330160577253 & 12.6698394227474 \tabularnewline
118 & 246 & 205.3118222926 & 40.6881777074003 \tabularnewline
119 & 234 & 237.823022556003 & -3.82302255600297 \tabularnewline
120 & 243 & 230.529511823902 & 12.4704881760983 \tabularnewline
121 & 219 & 209.432608518618 & 9.56739148138224 \tabularnewline
122 & 340 & 287.45867763829 & 52.5413223617103 \tabularnewline
123 & 185 & 188.148644804525 & -3.14864480452505 \tabularnewline
124 & 204 & 195.947547605688 & 8.05245239431189 \tabularnewline
125 & 229 & 227.629487867615 & 1.37051213238507 \tabularnewline
126 & 216 & 211.682012451977 & 4.31798754802261 \tabularnewline
127 & 190 & 216.903909247104 & -26.9039092471039 \tabularnewline
128 & 185 & 221.245270074185 & -36.2452700741851 \tabularnewline
129 & 212 & 233.849389875833 & -21.8493898758332 \tabularnewline
130 & 206 & 227.882219367961 & -21.8822193679615 \tabularnewline
131 & 205 & 242.87466215052 & -37.8746621505202 \tabularnewline
132 & 207 & 229.393990968302 & -22.3939909683023 \tabularnewline
133 & 190 & 101.418995303385 & 88.5810046966154 \tabularnewline
134 & 243 & 104.464176281906 & 138.535823718094 \tabularnewline
135 & 370 & 116.646819371592 & 253.353180628408 \tabularnewline
136 & 279 & 129.401632467636 & 149.598367532364 \tabularnewline
137 & 280 & 113.504177893166 & 166.495822106834 \tabularnewline
138 & 279 & 119.704921138407 & 159.295078861593 \tabularnewline
139 & 330 & 131.765884767917 & 198.234115232083 \tabularnewline
140 & 300 & 120.420291339076 & 179.579708660924 \tabularnewline
141 & 257 & 124.200001281244 & 132.799998718756 \tabularnewline
142 & 306 & 123.581093318672 & 182.418906681328 \tabularnewline
143 & 287 & 117.679819529993 & 169.320180470007 \tabularnewline
144 & 356 & 141.708941343166 & 214.291058656834 \tabularnewline
145 & 249 & 113.121720409681 & 135.878279590319 \tabularnewline
146 & 279 & 121.751762692231 & 157.248237307769 \tabularnewline
147 & 230 & 130.935517920683 & 99.064482079317 \tabularnewline
148 & 267 & 124.274794505563 & 142.725205494437 \tabularnewline
149 & 257 & 117.794114474036 & 139.205885525964 \tabularnewline
150 & 237 & 119.395705194555 & 117.604294805445 \tabularnewline
151 & 254 & 128.822998858941 & 125.177001141059 \tabularnewline
152 & 296 & 125.653557237811 & 170.346442762189 \tabularnewline
153 & 283 & 121.061718297591 & 161.938281702409 \tabularnewline
154 & 231 & 123.527712244539 & 107.472287755461 \tabularnewline
155 & 779 & 125.383663498101 & 653.616336501899 \tabularnewline
156 & 819 & 144.827808700248 & 674.172191299752 \tabularnewline
157 & 985 & 164.738990793182 & 820.261009206818 \tabularnewline
158 & 969 & 170.635352664211 & 798.364647335789 \tabularnewline
159 & 846 & 152.062105526769 & 693.937894473231 \tabularnewline
160 & 923 & 154.844075579191 & 768.155924420809 \tabularnewline
161 & 961 & 189.988095825554 & 771.011904174446 \tabularnewline
162 & 923 & 174.197848238281 & 748.802151761719 \tabularnewline
163 & 868 & 160.777685782736 & 707.222314217264 \tabularnewline
164 & 814 & 173.195929369345 & 640.804070630655 \tabularnewline
165 & 856 & 161.791527178159 & 694.208472821841 \tabularnewline
166 & 1 & 178.223427351602 & -177.223427351602 \tabularnewline
167 & 85 & 184.48263668783 & -99.4826366878296 \tabularnewline
168 & 82 & 215.145521506978 & -133.145521506978 \tabularnewline
169 & 101 & 244.206345101158 & -143.206345101158 \tabularnewline
170 & 113 & 231.630178400044 & -118.630178400044 \tabularnewline
171 & 105 & 242.03609288689 & -137.03609288689 \tabularnewline
172 & 99 & 240.68919049464 & -141.68919049464 \tabularnewline
173 & 94 & 252.891320142528 & -158.891320142528 \tabularnewline
174 & 96 & 223.120888247494 & -127.120888247494 \tabularnewline
175 & 130 & 231.405097024566 & -101.405097024566 \tabularnewline
176 & 103 & 229.3249917257 & -126.3249917257 \tabularnewline
177 & 45 & 234.286766087967 & -189.286766087967 \tabularnewline
178 & 76 & 228.214094973609 & -152.214094973609 \tabularnewline
179 & 95 & 136.88767303582 & -41.8876730358204 \tabularnewline
180 & 256 & 141.773225949166 & 114.226774050834 \tabularnewline
181 & 232 & 127.045754485541 & 104.954245514459 \tabularnewline
182 & 1 & 133.770946395251 & -132.770946395251 \tabularnewline
183 & 84 & 244.047048971587 & -160.047048971587 \tabularnewline
184 & 113 & 240.183471827764 & -127.183471827764 \tabularnewline
185 & 249 & 120.740479703054 & 128.259520296946 \tabularnewline
186 & 10 & 118.311460305524 & -108.311460305524 \tabularnewline
187 & 1 & 149.436855991904 & -148.436855991904 \tabularnewline
188 & 70 & 219.483153764215 & -149.483153764215 \tabularnewline
189 & 80 & 159.162288682811 & -79.1622886828113 \tabularnewline
190 & 342 & 99.7416215564923 & 242.258378443508 \tabularnewline
191 & 491 & 139.146368114418 & 351.853631885582 \tabularnewline
192 & 951 & 139.708284322678 & 811.291715677322 \tabularnewline
193 & 1 & 146.604537303089 & -145.604537303089 \tabularnewline
194 & 98 & 222.317429280953 & -124.317429280953 \tabularnewline
195 & 97 & 158.894274423012 & -61.894274423012 \tabularnewline
196 & 288 & 90.7895908214383 & 197.210409178562 \tabularnewline
197 & 59 & 117.432327742522 & -58.4323277425222 \tabularnewline
198 & 1 & 144.831691120153 & -143.831691120153 \tabularnewline
199 & 87 & 236.527677813474 & -149.527677813474 \tabularnewline
200 & 99 & 284.773755328745 & -185.773755328745 \tabularnewline
201 & 83 & 138.662070903442 & -55.6620709034417 \tabularnewline
202 & 205 & 71.5850683560089 & 133.414931643991 \tabularnewline
203 & 52 & 115.580883263374 & -63.5808832633744 \tabularnewline
204 & 18 & 93.3248729564822 & -75.3248729564822 \tabularnewline
205 & 27 & 103.498547179371 & -76.4985471793711 \tabularnewline
206 & 29 & 106.727350985724 & -77.7273509857238 \tabularnewline
207 & 33 & 106.906544387152 & -73.906544387152 \tabularnewline
208 & 32 & 103.454912592529 & -71.4549125925285 \tabularnewline
209 & 33 & 108.004668630592 & -75.004668630592 \tabularnewline
210 & 42 & 113.955261557919 & -71.9552615579185 \tabularnewline
211 & 25 & 100.486481666249 & -75.4864816662487 \tabularnewline
212 & 33 & 107.70394404863 & -74.7039440486305 \tabularnewline
213 & 34 & 108.547083404516 & -74.5470834045164 \tabularnewline
214 & 24 & 109.817313092537 & -85.8173130925371 \tabularnewline
215 & 30 & 126.718714295496 & -96.7187142954956 \tabularnewline
216 & 22 & 103.155037992731 & -81.1550379927313 \tabularnewline
217 & 24 & 107.235472516861 & -83.2354725168607 \tabularnewline
218 & 30 & 109.450138368505 & -79.4501383685046 \tabularnewline
219 & 27 & 113.412145081473 & -86.4121450814725 \tabularnewline
220 & 32 & 105.536421296437 & -73.5364212964372 \tabularnewline
221 & 24 & 112.440386588206 & -88.4403865882058 \tabularnewline
222 & 29 & 107.034313542369 & -78.0343135423685 \tabularnewline
223 & 17 & 106.661750825817 & -89.6617508258173 \tabularnewline
224 & 28 & 101.806030492916 & -73.8060304929162 \tabularnewline
225 & 32 & 106.469231492859 & -74.4692314928585 \tabularnewline
226 & 204 & 172.566019794081 & 31.4339802059189 \tabularnewline
227 & 215 & 178.434403745017 & 36.5655962549834 \tabularnewline
228 & 324 & 221.609972199736 & 102.390027800264 \tabularnewline
229 & 311 & 218.150145602507 & 92.8498543974928 \tabularnewline
230 & 263 & 205.701889919872 & 57.298110080128 \tabularnewline
231 & 304 & 211.41049609595 & 92.5895039040497 \tabularnewline
232 & 255 & 244.449755704001 & 10.5502442959991 \tabularnewline
233 & 230 & 200.38434117312 & 29.6156588268796 \tabularnewline
234 & 211 & 207.105830178507 & 3.89416982149308 \tabularnewline
235 & 228 & 199.569958787861 & 28.4300412121395 \tabularnewline
236 & 225 & 188.534134725751 & 36.4658652742491 \tabularnewline
237 & 307 & 280.58424836768 & 26.4157516323197 \tabularnewline
238 & 230 & 188.702029955202 & 41.2979700447981 \tabularnewline
239 & 271 & 205.327478959349 & 65.6725210406506 \tabularnewline
240 & 244 & 222.260187079427 & 21.739812920573 \tabularnewline
241 & 236 & 221.326823460127 & 14.6731765398733 \tabularnewline
242 & 224 & 224.546285922424 & -0.54628592242443 \tabularnewline
243 & 216 & 187.621036715186 & 28.378963284814 \tabularnewline
244 & 232 & 214.827834647786 & 17.1721653522138 \tabularnewline
245 & 207 & 212.211178642383 & -5.21117864238266 \tabularnewline
246 & 228 & 223.553232322676 & 4.44676767732399 \tabularnewline
247 & 198 & 201.805888510047 & -3.80588851004689 \tabularnewline
248 & 75 & 121.28258945794 & -46.2825894579399 \tabularnewline
249 & 83 & 134.33362036153 & -51.33362036153 \tabularnewline
250 & 128 & 149.977790012774 & -21.9777900127737 \tabularnewline
251 & 87 & 158.119422950043 & -71.1194229500434 \tabularnewline
252 & 91 & 152.64479465457 & -61.6447946545704 \tabularnewline
253 & 109 & 152.891139900591 & -43.8911399005911 \tabularnewline
254 & 101 & 171.174258925527 & -70.1742589255271 \tabularnewline
255 & 93 & 166.405807766311 & -73.4058077663111 \tabularnewline
256 & 85 & 144.253456238315 & -59.2534562383145 \tabularnewline
257 & 83 & 170.333147329195 & -87.3331473291945 \tabularnewline
258 & 106 & 151.065722929994 & -45.0657229299943 \tabularnewline
259 & 137 & 208.824476541083 & -71.8244765410834 \tabularnewline
260 & 70 & 128.823997120748 & -58.8239971207478 \tabularnewline
261 & 73 & 141.287278699242 & -68.2872786992422 \tabularnewline
262 & 82 & 147.813293281941 & -65.8132932819408 \tabularnewline
263 & 107 & 158.344652605164 & -51.3446526051644 \tabularnewline
264 & 89 & 153.092298875083 & -64.0922988750832 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146756&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]70[/C][C]100.259996885727[/C][C]-30.2599968857269[/C][/ROW]
[ROW][C]2[/C][C]90[/C][C]102.997661884724[/C][C]-12.9976618847244[/C][/ROW]
[ROW][C]3[/C][C]94[/C][C]118.489438277244[/C][C]-24.4894382772438[/C][/ROW]
[ROW][C]4[/C][C]122[/C][C]117.06323588626[/C][C]4.93676411374045[/C][/ROW]
[ROW][C]5[/C][C]103[/C][C]115.617766148347[/C][C]-12.6177661483469[/C][/ROW]
[ROW][C]6[/C][C]93[/C][C]130.348837789026[/C][C]-37.3488377890257[/C][/ROW]
[ROW][C]7[/C][C]116[/C][C]141.453513660056[/C][C]-25.4535136600565[/C][/ROW]
[ROW][C]8[/C][C]103[/C][C]123.44261911005[/C][C]-20.4426191100495[/C][/ROW]
[ROW][C]9[/C][C]94[/C][C]123.382150079068[/C][C]-29.3821500790682[/C][/ROW]
[ROW][C]10[/C][C]86[/C][C]117.041566872481[/C][C]-31.0415668724809[/C][/ROW]
[ROW][C]11[/C][C]116[/C][C]111.702497391593[/C][C]4.29750260840651[/C][/ROW]
[ROW][C]12[/C][C]117[/C][C]142.410394537107[/C][C]-25.4103945371067[/C][/ROW]
[ROW][C]13[/C][C]85[/C][C]100.872518593973[/C][C]-15.8725185939732[/C][/ROW]
[ROW][C]14[/C][C]110[/C][C]118.162210111864[/C][C]-8.16221011186386[/C][/ROW]
[ROW][C]15[/C][C]94[/C][C]121.016049534815[/C][C]-27.0160495348151[/C][/ROW]
[ROW][C]16[/C][C]94[/C][C]114.49867459365[/C][C]-20.4986745936499[/C][/ROW]
[ROW][C]17[/C][C]83[/C][C]109.643804242913[/C][C]-26.6438042429131[/C][/ROW]
[ROW][C]18[/C][C]92[/C][C]111.195077562978[/C][C]-19.1950775629783[/C][/ROW]
[ROW][C]19[/C][C]87[/C][C]129.506548415304[/C][C]-42.5065484153041[/C][/ROW]
[ROW][C]20[/C][C]101[/C][C]120.504091695845[/C][C]-19.5040916958454[/C][/ROW]
[ROW][C]21[/C][C]97[/C][C]116.65512480152[/C][C]-19.6551248015202[/C][/ROW]
[ROW][C]22[/C][C]84[/C][C]121.696424790175[/C][C]-37.6964247901753[/C][/ROW]
[ROW][C]23[/C][C]32[/C][C]119.519007271048[/C][C]-87.5190072710481[/C][/ROW]
[ROW][C]24[/C][C]26[/C][C]122.251284277527[/C][C]-96.2512842775266[/C][/ROW]
[ROW][C]25[/C][C]39[/C][C]135.838343700715[/C][C]-96.8383437007152[/C][/ROW]
[ROW][C]26[/C][C]40[/C][C]142.320427137286[/C][C]-102.320427137286[/C][/ROW]
[ROW][C]27[/C][C]48[/C][C]131.058819997176[/C][C]-83.0588199971763[/C][/ROW]
[ROW][C]28[/C][C]37[/C][C]141.790784872013[/C][C]-104.790784872013[/C][/ROW]
[ROW][C]29[/C][C]38[/C][C]162.815701763065[/C][C]-124.815701763065[/C][/ROW]
[ROW][C]30[/C][C]34[/C][C]133.132390762073[/C][C]-99.1323907620732[/C][/ROW]
[ROW][C]31[/C][C]27[/C][C]127.195123766277[/C][C]-100.195123766277[/C][/ROW]
[ROW][C]32[/C][C]44[/C][C]141.708903690847[/C][C]-97.7089036908468[/C][/ROW]
[ROW][C]33[/C][C]41[/C][C]145.056135308361[/C][C]-104.056135308361[/C][/ROW]
[ROW][C]34[/C][C]54[/C][C]176.05596911466[/C][C]-122.05596911466[/C][/ROW]
[ROW][C]35[/C][C]27[/C][C]126.349582743541[/C][C]-99.349582743541[/C][/ROW]
[ROW][C]36[/C][C]27[/C][C]134.808221284032[/C][C]-107.808221284032[/C][/ROW]
[ROW][C]37[/C][C]31[/C][C]141.447829108252[/C][C]-110.447829108252[/C][/ROW]
[ROW][C]38[/C][C]33[/C][C]138.889654069969[/C][C]-105.889654069969[/C][/ROW]
[ROW][C]39[/C][C]34[/C][C]136.972461151271[/C][C]-102.972461151271[/C][/ROW]
[ROW][C]40[/C][C]33[/C][C]135.234461634003[/C][C]-102.234461634003[/C][/ROW]
[ROW][C]41[/C][C]27[/C][C]152.67912759305[/C][C]-125.67912759305[/C][/ROW]
[ROW][C]42[/C][C]37[/C][C]135.899109290982[/C][C]-98.8991092909819[/C][/ROW]
[ROW][C]43[/C][C]31[/C][C]143.549603420896[/C][C]-112.549603420896[/C][/ROW]
[ROW][C]44[/C][C]34[/C][C]128.895430112101[/C][C]-94.8954301121013[/C][/ROW]
[ROW][C]45[/C][C]27[/C][C]106.130408596216[/C][C]-79.1304085962159[/C][/ROW]
[ROW][C]46[/C][C]21[/C][C]119.83191124309[/C][C]-98.8319112430905[/C][/ROW]
[ROW][C]47[/C][C]42[/C][C]124.901563059135[/C][C]-82.9015630591354[/C][/ROW]
[ROW][C]48[/C][C]41[/C][C]139.20794603453[/C][C]-98.2079460345297[/C][/ROW]
[ROW][C]49[/C][C]30[/C][C]130.616150346303[/C][C]-100.616150346303[/C][/ROW]
[ROW][C]50[/C][C]42[/C][C]126.410200054165[/C][C]-84.410200054165[/C][/ROW]
[ROW][C]51[/C][C]22[/C][C]141.758776252372[/C][C]-119.758776252372[/C][/ROW]
[ROW][C]52[/C][C]34[/C][C]133.323506689989[/C][C]-99.3235066899886[/C][/ROW]
[ROW][C]53[/C][C]31[/C][C]120.762616331947[/C][C]-89.7626163319469[/C][/ROW]
[ROW][C]54[/C][C]26[/C][C]121.56935733748[/C][C]-95.5693573374804[/C][/ROW]
[ROW][C]55[/C][C]38[/C][C]125.671460875388[/C][C]-87.6714608753884[/C][/ROW]
[ROW][C]56[/C][C]41[/C][C]148.920681521424[/C][C]-107.920681521424[/C][/ROW]
[ROW][C]57[/C][C]26[/C][C]110.813875204894[/C][C]-84.8138752048936[/C][/ROW]
[ROW][C]58[/C][C]35[/C][C]119.159622206385[/C][C]-84.1596222063847[/C][/ROW]
[ROW][C]59[/C][C]27[/C][C]135.075385561667[/C][C]-108.075385561667[/C][/ROW]
[ROW][C]60[/C][C]24[/C][C]126.700179887028[/C][C]-102.700179887028[/C][/ROW]
[ROW][C]61[/C][C]37[/C][C]119.158920503863[/C][C]-82.1589205038631[/C][/ROW]
[ROW][C]62[/C][C]29[/C][C]118.138841133757[/C][C]-89.1388411337566[/C][/ROW]
[ROW][C]63[/C][C]23[/C][C]130.504810491989[/C][C]-107.504810491989[/C][/ROW]
[ROW][C]64[/C][C]26[/C][C]121.49511753604[/C][C]-95.4951175360404[/C][/ROW]
[ROW][C]65[/C][C]26[/C][C]126.514748510917[/C][C]-100.514748510917[/C][/ROW]
[ROW][C]66[/C][C]30[/C][C]128.937809573543[/C][C]-98.9378095735433[/C][/ROW]
[ROW][C]67[/C][C]84[/C][C]126.650712468739[/C][C]-42.6507124687388[/C][/ROW]
[ROW][C]68[/C][C]47[/C][C]133.933002376874[/C][C]-86.9330023768743[/C][/ROW]
[ROW][C]69[/C][C]88[/C][C]166.167252179659[/C][C]-78.1672521796595[/C][/ROW]
[ROW][C]70[/C][C]88[/C][C]173.45467321672[/C][C]-85.4546732167203[/C][/ROW]
[ROW][C]71[/C][C]77[/C][C]160.199676528552[/C][C]-83.1996765285515[/C][/ROW]
[ROW][C]72[/C][C]100[/C][C]167.227426388061[/C][C]-67.2274263880611[/C][/ROW]
[ROW][C]73[/C][C]122[/C][C]192.295638054676[/C][C]-70.2956380546761[/C][/ROW]
[ROW][C]74[/C][C]76[/C][C]157.790643099977[/C][C]-81.7906430999774[/C][/ROW]
[ROW][C]75[/C][C]73[/C][C]159.40936482392[/C][C]-86.4093648239205[/C][/ROW]
[ROW][C]76[/C][C]68[/C][C]160.594056538524[/C][C]-92.5940565385241[/C][/ROW]
[ROW][C]77[/C][C]90[/C][C]165.278926552245[/C][C]-75.278926552245[/C][/ROW]
[ROW][C]78[/C][C]127[/C][C]196.024773732797[/C][C]-69.0247737327966[/C][/ROW]
[ROW][C]79[/C][C]71[/C][C]135.571288007031[/C][C]-64.5712880070311[/C][/ROW]
[ROW][C]80[/C][C]82[/C][C]152.397046003506[/C][C]-70.3970460035064[/C][/ROW]
[ROW][C]81[/C][C]90[/C][C]155.816786222193[/C][C]-65.8167862221927[/C][/ROW]
[ROW][C]82[/C][C]78[/C][C]163.424199188143[/C][C]-85.4241991881433[/C][/ROW]
[ROW][C]83[/C][C]65[/C][C]147.693462065736[/C][C]-82.6934620657361[/C][/ROW]
[ROW][C]84[/C][C]76[/C][C]159.745232630834[/C][C]-83.7452326308339[/C][/ROW]
[ROW][C]85[/C][C]87[/C][C]189.207524191834[/C][C]-102.207524191834[/C][/ROW]
[ROW][C]86[/C][C]58[/C][C]164.483226855095[/C][C]-106.483226855095[/C][/ROW]
[ROW][C]87[/C][C]75[/C][C]150.183081854384[/C][C]-75.1830818543841[/C][/ROW]
[ROW][C]88[/C][C]75[/C][C]143.165671600737[/C][C]-68.1656716007366[/C][/ROW]
[ROW][C]89[/C][C]24[/C][C]79.8410671689531[/C][C]-55.8410671689531[/C][/ROW]
[ROW][C]90[/C][C]23[/C][C]79.4678027498802[/C][C]-56.4678027498802[/C][/ROW]
[ROW][C]91[/C][C]26[/C][C]76.5819547072883[/C][C]-50.5819547072883[/C][/ROW]
[ROW][C]92[/C][C]34[/C][C]82.6900720222644[/C][C]-48.6900720222644[/C][/ROW]
[ROW][C]93[/C][C]21[/C][C]78.8199895370395[/C][C]-57.8199895370395[/C][/ROW]
[ROW][C]94[/C][C]27[/C][C]76.2686058963178[/C][C]-49.2686058963178[/C][/ROW]
[ROW][C]95[/C][C]19[/C][C]79.9383793892149[/C][C]-60.9383793892149[/C][/ROW]
[ROW][C]96[/C][C]54[/C][C]80.2586678773901[/C][C]-26.2586678773901[/C][/ROW]
[ROW][C]97[/C][C]35[/C][C]77.7298032326113[/C][C]-42.7298032326113[/C][/ROW]
[ROW][C]98[/C][C]27[/C][C]78.8341654507345[/C][C]-51.8341654507345[/C][/ROW]
[ROW][C]99[/C][C]25[/C][C]77.2973249079577[/C][C]-52.2973249079577[/C][/ROW]
[ROW][C]100[/C][C]37[/C][C]83.124102031604[/C][C]-46.124102031604[/C][/ROW]
[ROW][C]101[/C][C]23[/C][C]76.0287951842657[/C][C]-53.0287951842657[/C][/ROW]
[ROW][C]102[/C][C]19[/C][C]73.0229676458264[/C][C]-54.0229676458264[/C][/ROW]
[ROW][C]103[/C][C]27[/C][C]82.8765016601828[/C][C]-55.8765016601828[/C][/ROW]
[ROW][C]104[/C][C]18[/C][C]77.1704057349056[/C][C]-59.1704057349056[/C][/ROW]
[ROW][C]105[/C][C]23[/C][C]78.2372230612265[/C][C]-55.2372230612265[/C][/ROW]
[ROW][C]106[/C][C]16[/C][C]77.4314803175001[/C][C]-61.4314803175001[/C][/ROW]
[ROW][C]107[/C][C]17[/C][C]78.5194132347207[/C][C]-61.5194132347207[/C][/ROW]
[ROW][C]108[/C][C]18[/C][C]78.6549720493063[/C][C]-60.6549720493063[/C][/ROW]
[ROW][C]109[/C][C]27[/C][C]82.7719532034308[/C][C]-55.7719532034308[/C][/ROW]
[ROW][C]110[/C][C]39[/C][C]75.1799712765756[/C][C]-36.1799712765756[/C][/ROW]
[ROW][C]111[/C][C]157[/C][C]175.255286568227[/C][C]-18.2552865682272[/C][/ROW]
[ROW][C]112[/C][C]202[/C][C]204.953287210101[/C][C]-2.95328721010071[/C][/ROW]
[ROW][C]113[/C][C]266[/C][C]228.696305193936[/C][C]37.3036948060641[/C][/ROW]
[ROW][C]114[/C][C]246[/C][C]247.758437751526[/C][C]-1.75843775152569[/C][/ROW]
[ROW][C]115[/C][C]240[/C][C]205.21521177486[/C][C]34.7847882251404[/C][/ROW]
[ROW][C]116[/C][C]254[/C][C]226.115314600424[/C][C]27.8846853995762[/C][/ROW]
[ROW][C]117[/C][C]284[/C][C]271.330160577253[/C][C]12.6698394227474[/C][/ROW]
[ROW][C]118[/C][C]246[/C][C]205.3118222926[/C][C]40.6881777074003[/C][/ROW]
[ROW][C]119[/C][C]234[/C][C]237.823022556003[/C][C]-3.82302255600297[/C][/ROW]
[ROW][C]120[/C][C]243[/C][C]230.529511823902[/C][C]12.4704881760983[/C][/ROW]
[ROW][C]121[/C][C]219[/C][C]209.432608518618[/C][C]9.56739148138224[/C][/ROW]
[ROW][C]122[/C][C]340[/C][C]287.45867763829[/C][C]52.5413223617103[/C][/ROW]
[ROW][C]123[/C][C]185[/C][C]188.148644804525[/C][C]-3.14864480452505[/C][/ROW]
[ROW][C]124[/C][C]204[/C][C]195.947547605688[/C][C]8.05245239431189[/C][/ROW]
[ROW][C]125[/C][C]229[/C][C]227.629487867615[/C][C]1.37051213238507[/C][/ROW]
[ROW][C]126[/C][C]216[/C][C]211.682012451977[/C][C]4.31798754802261[/C][/ROW]
[ROW][C]127[/C][C]190[/C][C]216.903909247104[/C][C]-26.9039092471039[/C][/ROW]
[ROW][C]128[/C][C]185[/C][C]221.245270074185[/C][C]-36.2452700741851[/C][/ROW]
[ROW][C]129[/C][C]212[/C][C]233.849389875833[/C][C]-21.8493898758332[/C][/ROW]
[ROW][C]130[/C][C]206[/C][C]227.882219367961[/C][C]-21.8822193679615[/C][/ROW]
[ROW][C]131[/C][C]205[/C][C]242.87466215052[/C][C]-37.8746621505202[/C][/ROW]
[ROW][C]132[/C][C]207[/C][C]229.393990968302[/C][C]-22.3939909683023[/C][/ROW]
[ROW][C]133[/C][C]190[/C][C]101.418995303385[/C][C]88.5810046966154[/C][/ROW]
[ROW][C]134[/C][C]243[/C][C]104.464176281906[/C][C]138.535823718094[/C][/ROW]
[ROW][C]135[/C][C]370[/C][C]116.646819371592[/C][C]253.353180628408[/C][/ROW]
[ROW][C]136[/C][C]279[/C][C]129.401632467636[/C][C]149.598367532364[/C][/ROW]
[ROW][C]137[/C][C]280[/C][C]113.504177893166[/C][C]166.495822106834[/C][/ROW]
[ROW][C]138[/C][C]279[/C][C]119.704921138407[/C][C]159.295078861593[/C][/ROW]
[ROW][C]139[/C][C]330[/C][C]131.765884767917[/C][C]198.234115232083[/C][/ROW]
[ROW][C]140[/C][C]300[/C][C]120.420291339076[/C][C]179.579708660924[/C][/ROW]
[ROW][C]141[/C][C]257[/C][C]124.200001281244[/C][C]132.799998718756[/C][/ROW]
[ROW][C]142[/C][C]306[/C][C]123.581093318672[/C][C]182.418906681328[/C][/ROW]
[ROW][C]143[/C][C]287[/C][C]117.679819529993[/C][C]169.320180470007[/C][/ROW]
[ROW][C]144[/C][C]356[/C][C]141.708941343166[/C][C]214.291058656834[/C][/ROW]
[ROW][C]145[/C][C]249[/C][C]113.121720409681[/C][C]135.878279590319[/C][/ROW]
[ROW][C]146[/C][C]279[/C][C]121.751762692231[/C][C]157.248237307769[/C][/ROW]
[ROW][C]147[/C][C]230[/C][C]130.935517920683[/C][C]99.064482079317[/C][/ROW]
[ROW][C]148[/C][C]267[/C][C]124.274794505563[/C][C]142.725205494437[/C][/ROW]
[ROW][C]149[/C][C]257[/C][C]117.794114474036[/C][C]139.205885525964[/C][/ROW]
[ROW][C]150[/C][C]237[/C][C]119.395705194555[/C][C]117.604294805445[/C][/ROW]
[ROW][C]151[/C][C]254[/C][C]128.822998858941[/C][C]125.177001141059[/C][/ROW]
[ROW][C]152[/C][C]296[/C][C]125.653557237811[/C][C]170.346442762189[/C][/ROW]
[ROW][C]153[/C][C]283[/C][C]121.061718297591[/C][C]161.938281702409[/C][/ROW]
[ROW][C]154[/C][C]231[/C][C]123.527712244539[/C][C]107.472287755461[/C][/ROW]
[ROW][C]155[/C][C]779[/C][C]125.383663498101[/C][C]653.616336501899[/C][/ROW]
[ROW][C]156[/C][C]819[/C][C]144.827808700248[/C][C]674.172191299752[/C][/ROW]
[ROW][C]157[/C][C]985[/C][C]164.738990793182[/C][C]820.261009206818[/C][/ROW]
[ROW][C]158[/C][C]969[/C][C]170.635352664211[/C][C]798.364647335789[/C][/ROW]
[ROW][C]159[/C][C]846[/C][C]152.062105526769[/C][C]693.937894473231[/C][/ROW]
[ROW][C]160[/C][C]923[/C][C]154.844075579191[/C][C]768.155924420809[/C][/ROW]
[ROW][C]161[/C][C]961[/C][C]189.988095825554[/C][C]771.011904174446[/C][/ROW]
[ROW][C]162[/C][C]923[/C][C]174.197848238281[/C][C]748.802151761719[/C][/ROW]
[ROW][C]163[/C][C]868[/C][C]160.777685782736[/C][C]707.222314217264[/C][/ROW]
[ROW][C]164[/C][C]814[/C][C]173.195929369345[/C][C]640.804070630655[/C][/ROW]
[ROW][C]165[/C][C]856[/C][C]161.791527178159[/C][C]694.208472821841[/C][/ROW]
[ROW][C]166[/C][C]1[/C][C]178.223427351602[/C][C]-177.223427351602[/C][/ROW]
[ROW][C]167[/C][C]85[/C][C]184.48263668783[/C][C]-99.4826366878296[/C][/ROW]
[ROW][C]168[/C][C]82[/C][C]215.145521506978[/C][C]-133.145521506978[/C][/ROW]
[ROW][C]169[/C][C]101[/C][C]244.206345101158[/C][C]-143.206345101158[/C][/ROW]
[ROW][C]170[/C][C]113[/C][C]231.630178400044[/C][C]-118.630178400044[/C][/ROW]
[ROW][C]171[/C][C]105[/C][C]242.03609288689[/C][C]-137.03609288689[/C][/ROW]
[ROW][C]172[/C][C]99[/C][C]240.68919049464[/C][C]-141.68919049464[/C][/ROW]
[ROW][C]173[/C][C]94[/C][C]252.891320142528[/C][C]-158.891320142528[/C][/ROW]
[ROW][C]174[/C][C]96[/C][C]223.120888247494[/C][C]-127.120888247494[/C][/ROW]
[ROW][C]175[/C][C]130[/C][C]231.405097024566[/C][C]-101.405097024566[/C][/ROW]
[ROW][C]176[/C][C]103[/C][C]229.3249917257[/C][C]-126.3249917257[/C][/ROW]
[ROW][C]177[/C][C]45[/C][C]234.286766087967[/C][C]-189.286766087967[/C][/ROW]
[ROW][C]178[/C][C]76[/C][C]228.214094973609[/C][C]-152.214094973609[/C][/ROW]
[ROW][C]179[/C][C]95[/C][C]136.88767303582[/C][C]-41.8876730358204[/C][/ROW]
[ROW][C]180[/C][C]256[/C][C]141.773225949166[/C][C]114.226774050834[/C][/ROW]
[ROW][C]181[/C][C]232[/C][C]127.045754485541[/C][C]104.954245514459[/C][/ROW]
[ROW][C]182[/C][C]1[/C][C]133.770946395251[/C][C]-132.770946395251[/C][/ROW]
[ROW][C]183[/C][C]84[/C][C]244.047048971587[/C][C]-160.047048971587[/C][/ROW]
[ROW][C]184[/C][C]113[/C][C]240.183471827764[/C][C]-127.183471827764[/C][/ROW]
[ROW][C]185[/C][C]249[/C][C]120.740479703054[/C][C]128.259520296946[/C][/ROW]
[ROW][C]186[/C][C]10[/C][C]118.311460305524[/C][C]-108.311460305524[/C][/ROW]
[ROW][C]187[/C][C]1[/C][C]149.436855991904[/C][C]-148.436855991904[/C][/ROW]
[ROW][C]188[/C][C]70[/C][C]219.483153764215[/C][C]-149.483153764215[/C][/ROW]
[ROW][C]189[/C][C]80[/C][C]159.162288682811[/C][C]-79.1622886828113[/C][/ROW]
[ROW][C]190[/C][C]342[/C][C]99.7416215564923[/C][C]242.258378443508[/C][/ROW]
[ROW][C]191[/C][C]491[/C][C]139.146368114418[/C][C]351.853631885582[/C][/ROW]
[ROW][C]192[/C][C]951[/C][C]139.708284322678[/C][C]811.291715677322[/C][/ROW]
[ROW][C]193[/C][C]1[/C][C]146.604537303089[/C][C]-145.604537303089[/C][/ROW]
[ROW][C]194[/C][C]98[/C][C]222.317429280953[/C][C]-124.317429280953[/C][/ROW]
[ROW][C]195[/C][C]97[/C][C]158.894274423012[/C][C]-61.894274423012[/C][/ROW]
[ROW][C]196[/C][C]288[/C][C]90.7895908214383[/C][C]197.210409178562[/C][/ROW]
[ROW][C]197[/C][C]59[/C][C]117.432327742522[/C][C]-58.4323277425222[/C][/ROW]
[ROW][C]198[/C][C]1[/C][C]144.831691120153[/C][C]-143.831691120153[/C][/ROW]
[ROW][C]199[/C][C]87[/C][C]236.527677813474[/C][C]-149.527677813474[/C][/ROW]
[ROW][C]200[/C][C]99[/C][C]284.773755328745[/C][C]-185.773755328745[/C][/ROW]
[ROW][C]201[/C][C]83[/C][C]138.662070903442[/C][C]-55.6620709034417[/C][/ROW]
[ROW][C]202[/C][C]205[/C][C]71.5850683560089[/C][C]133.414931643991[/C][/ROW]
[ROW][C]203[/C][C]52[/C][C]115.580883263374[/C][C]-63.5808832633744[/C][/ROW]
[ROW][C]204[/C][C]18[/C][C]93.3248729564822[/C][C]-75.3248729564822[/C][/ROW]
[ROW][C]205[/C][C]27[/C][C]103.498547179371[/C][C]-76.4985471793711[/C][/ROW]
[ROW][C]206[/C][C]29[/C][C]106.727350985724[/C][C]-77.7273509857238[/C][/ROW]
[ROW][C]207[/C][C]33[/C][C]106.906544387152[/C][C]-73.906544387152[/C][/ROW]
[ROW][C]208[/C][C]32[/C][C]103.454912592529[/C][C]-71.4549125925285[/C][/ROW]
[ROW][C]209[/C][C]33[/C][C]108.004668630592[/C][C]-75.004668630592[/C][/ROW]
[ROW][C]210[/C][C]42[/C][C]113.955261557919[/C][C]-71.9552615579185[/C][/ROW]
[ROW][C]211[/C][C]25[/C][C]100.486481666249[/C][C]-75.4864816662487[/C][/ROW]
[ROW][C]212[/C][C]33[/C][C]107.70394404863[/C][C]-74.7039440486305[/C][/ROW]
[ROW][C]213[/C][C]34[/C][C]108.547083404516[/C][C]-74.5470834045164[/C][/ROW]
[ROW][C]214[/C][C]24[/C][C]109.817313092537[/C][C]-85.8173130925371[/C][/ROW]
[ROW][C]215[/C][C]30[/C][C]126.718714295496[/C][C]-96.7187142954956[/C][/ROW]
[ROW][C]216[/C][C]22[/C][C]103.155037992731[/C][C]-81.1550379927313[/C][/ROW]
[ROW][C]217[/C][C]24[/C][C]107.235472516861[/C][C]-83.2354725168607[/C][/ROW]
[ROW][C]218[/C][C]30[/C][C]109.450138368505[/C][C]-79.4501383685046[/C][/ROW]
[ROW][C]219[/C][C]27[/C][C]113.412145081473[/C][C]-86.4121450814725[/C][/ROW]
[ROW][C]220[/C][C]32[/C][C]105.536421296437[/C][C]-73.5364212964372[/C][/ROW]
[ROW][C]221[/C][C]24[/C][C]112.440386588206[/C][C]-88.4403865882058[/C][/ROW]
[ROW][C]222[/C][C]29[/C][C]107.034313542369[/C][C]-78.0343135423685[/C][/ROW]
[ROW][C]223[/C][C]17[/C][C]106.661750825817[/C][C]-89.6617508258173[/C][/ROW]
[ROW][C]224[/C][C]28[/C][C]101.806030492916[/C][C]-73.8060304929162[/C][/ROW]
[ROW][C]225[/C][C]32[/C][C]106.469231492859[/C][C]-74.4692314928585[/C][/ROW]
[ROW][C]226[/C][C]204[/C][C]172.566019794081[/C][C]31.4339802059189[/C][/ROW]
[ROW][C]227[/C][C]215[/C][C]178.434403745017[/C][C]36.5655962549834[/C][/ROW]
[ROW][C]228[/C][C]324[/C][C]221.609972199736[/C][C]102.390027800264[/C][/ROW]
[ROW][C]229[/C][C]311[/C][C]218.150145602507[/C][C]92.8498543974928[/C][/ROW]
[ROW][C]230[/C][C]263[/C][C]205.701889919872[/C][C]57.298110080128[/C][/ROW]
[ROW][C]231[/C][C]304[/C][C]211.41049609595[/C][C]92.5895039040497[/C][/ROW]
[ROW][C]232[/C][C]255[/C][C]244.449755704001[/C][C]10.5502442959991[/C][/ROW]
[ROW][C]233[/C][C]230[/C][C]200.38434117312[/C][C]29.6156588268796[/C][/ROW]
[ROW][C]234[/C][C]211[/C][C]207.105830178507[/C][C]3.89416982149308[/C][/ROW]
[ROW][C]235[/C][C]228[/C][C]199.569958787861[/C][C]28.4300412121395[/C][/ROW]
[ROW][C]236[/C][C]225[/C][C]188.534134725751[/C][C]36.4658652742491[/C][/ROW]
[ROW][C]237[/C][C]307[/C][C]280.58424836768[/C][C]26.4157516323197[/C][/ROW]
[ROW][C]238[/C][C]230[/C][C]188.702029955202[/C][C]41.2979700447981[/C][/ROW]
[ROW][C]239[/C][C]271[/C][C]205.327478959349[/C][C]65.6725210406506[/C][/ROW]
[ROW][C]240[/C][C]244[/C][C]222.260187079427[/C][C]21.739812920573[/C][/ROW]
[ROW][C]241[/C][C]236[/C][C]221.326823460127[/C][C]14.6731765398733[/C][/ROW]
[ROW][C]242[/C][C]224[/C][C]224.546285922424[/C][C]-0.54628592242443[/C][/ROW]
[ROW][C]243[/C][C]216[/C][C]187.621036715186[/C][C]28.378963284814[/C][/ROW]
[ROW][C]244[/C][C]232[/C][C]214.827834647786[/C][C]17.1721653522138[/C][/ROW]
[ROW][C]245[/C][C]207[/C][C]212.211178642383[/C][C]-5.21117864238266[/C][/ROW]
[ROW][C]246[/C][C]228[/C][C]223.553232322676[/C][C]4.44676767732399[/C][/ROW]
[ROW][C]247[/C][C]198[/C][C]201.805888510047[/C][C]-3.80588851004689[/C][/ROW]
[ROW][C]248[/C][C]75[/C][C]121.28258945794[/C][C]-46.2825894579399[/C][/ROW]
[ROW][C]249[/C][C]83[/C][C]134.33362036153[/C][C]-51.33362036153[/C][/ROW]
[ROW][C]250[/C][C]128[/C][C]149.977790012774[/C][C]-21.9777900127737[/C][/ROW]
[ROW][C]251[/C][C]87[/C][C]158.119422950043[/C][C]-71.1194229500434[/C][/ROW]
[ROW][C]252[/C][C]91[/C][C]152.64479465457[/C][C]-61.6447946545704[/C][/ROW]
[ROW][C]253[/C][C]109[/C][C]152.891139900591[/C][C]-43.8911399005911[/C][/ROW]
[ROW][C]254[/C][C]101[/C][C]171.174258925527[/C][C]-70.1742589255271[/C][/ROW]
[ROW][C]255[/C][C]93[/C][C]166.405807766311[/C][C]-73.4058077663111[/C][/ROW]
[ROW][C]256[/C][C]85[/C][C]144.253456238315[/C][C]-59.2534562383145[/C][/ROW]
[ROW][C]257[/C][C]83[/C][C]170.333147329195[/C][C]-87.3331473291945[/C][/ROW]
[ROW][C]258[/C][C]106[/C][C]151.065722929994[/C][C]-45.0657229299943[/C][/ROW]
[ROW][C]259[/C][C]137[/C][C]208.824476541083[/C][C]-71.8244765410834[/C][/ROW]
[ROW][C]260[/C][C]70[/C][C]128.823997120748[/C][C]-58.8239971207478[/C][/ROW]
[ROW][C]261[/C][C]73[/C][C]141.287278699242[/C][C]-68.2872786992422[/C][/ROW]
[ROW][C]262[/C][C]82[/C][C]147.813293281941[/C][C]-65.8132932819408[/C][/ROW]
[ROW][C]263[/C][C]107[/C][C]158.344652605164[/C][C]-51.3446526051644[/C][/ROW]
[ROW][C]264[/C][C]89[/C][C]153.092298875083[/C][C]-64.0922988750832[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146756&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146756&T=4

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


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
170100.259996885727-30.2599968857269
290102.997661884724-12.9976618847244
394118.489438277244-24.4894382772438
4122117.063235886264.93676411374045
5103115.617766148347-12.6177661483469
693130.348837789026-37.3488377890257
7116141.453513660056-25.4535136600565
8103123.44261911005-20.4426191100495
994123.382150079068-29.3821500790682
1086117.041566872481-31.0415668724809
11116111.7024973915934.29750260840651
12117142.410394537107-25.4103945371067
1385100.872518593973-15.8725185939732
14110118.162210111864-8.16221011186386
1594121.016049534815-27.0160495348151
1694114.49867459365-20.4986745936499
1783109.643804242913-26.6438042429131
1892111.195077562978-19.1950775629783
1987129.506548415304-42.5065484153041
20101120.504091695845-19.5040916958454
2197116.65512480152-19.6551248015202
2284121.696424790175-37.6964247901753
2332119.519007271048-87.5190072710481
2426122.251284277527-96.2512842775266
2539135.838343700715-96.8383437007152
2640142.320427137286-102.320427137286
2748131.058819997176-83.0588199971763
2837141.790784872013-104.790784872013
2938162.815701763065-124.815701763065
3034133.132390762073-99.1323907620732
3127127.195123766277-100.195123766277
3244141.708903690847-97.7089036908468
3341145.056135308361-104.056135308361
3454176.05596911466-122.05596911466
3527126.349582743541-99.349582743541
3627134.808221284032-107.808221284032
3731141.447829108252-110.447829108252
3833138.889654069969-105.889654069969
3934136.972461151271-102.972461151271
4033135.234461634003-102.234461634003
4127152.67912759305-125.67912759305
4237135.899109290982-98.8991092909819
4331143.549603420896-112.549603420896
4434128.895430112101-94.8954301121013
4527106.130408596216-79.1304085962159
4621119.83191124309-98.8319112430905
4742124.901563059135-82.9015630591354
4841139.20794603453-98.2079460345297
4930130.616150346303-100.616150346303
5042126.410200054165-84.410200054165
5122141.758776252372-119.758776252372
5234133.323506689989-99.3235066899886
5331120.762616331947-89.7626163319469
5426121.56935733748-95.5693573374804
5538125.671460875388-87.6714608753884
5641148.920681521424-107.920681521424
5726110.813875204894-84.8138752048936
5835119.159622206385-84.1596222063847
5927135.075385561667-108.075385561667
6024126.700179887028-102.700179887028
6137119.158920503863-82.1589205038631
6229118.138841133757-89.1388411337566
6323130.504810491989-107.504810491989
6426121.49511753604-95.4951175360404
6526126.514748510917-100.514748510917
6630128.937809573543-98.9378095735433
6784126.650712468739-42.6507124687388
6847133.933002376874-86.9330023768743
6988166.167252179659-78.1672521796595
7088173.45467321672-85.4546732167203
7177160.199676528552-83.1996765285515
72100167.227426388061-67.2274263880611
73122192.295638054676-70.2956380546761
7476157.790643099977-81.7906430999774
7573159.40936482392-86.4093648239205
7668160.594056538524-92.5940565385241
7790165.278926552245-75.278926552245
78127196.024773732797-69.0247737327966
7971135.571288007031-64.5712880070311
8082152.397046003506-70.3970460035064
8190155.816786222193-65.8167862221927
8278163.424199188143-85.4241991881433
8365147.693462065736-82.6934620657361
8476159.745232630834-83.7452326308339
8587189.207524191834-102.207524191834
8658164.483226855095-106.483226855095
8775150.183081854384-75.1830818543841
8875143.165671600737-68.1656716007366
892479.8410671689531-55.8410671689531
902379.4678027498802-56.4678027498802
912676.5819547072883-50.5819547072883
923482.6900720222644-48.6900720222644
932178.8199895370395-57.8199895370395
942776.2686058963178-49.2686058963178
951979.9383793892149-60.9383793892149
965480.2586678773901-26.2586678773901
973577.7298032326113-42.7298032326113
982778.8341654507345-51.8341654507345
992577.2973249079577-52.2973249079577
1003783.124102031604-46.124102031604
1012376.0287951842657-53.0287951842657
1021973.0229676458264-54.0229676458264
1032782.8765016601828-55.8765016601828
1041877.1704057349056-59.1704057349056
1052378.2372230612265-55.2372230612265
1061677.4314803175001-61.4314803175001
1071778.5194132347207-61.5194132347207
1081878.6549720493063-60.6549720493063
1092782.7719532034308-55.7719532034308
1103975.1799712765756-36.1799712765756
111157175.255286568227-18.2552865682272
112202204.953287210101-2.95328721010071
113266228.69630519393637.3036948060641
114246247.758437751526-1.75843775152569
115240205.2152117748634.7847882251404
116254226.11531460042427.8846853995762
117284271.33016057725312.6698394227474
118246205.311822292640.6881777074003
119234237.823022556003-3.82302255600297
120243230.52951182390212.4704881760983
121219209.4326085186189.56739148138224
122340287.4586776382952.5413223617103
123185188.148644804525-3.14864480452505
124204195.9475476056888.05245239431189
125229227.6294878676151.37051213238507
126216211.6820124519774.31798754802261
127190216.903909247104-26.9039092471039
128185221.245270074185-36.2452700741851
129212233.849389875833-21.8493898758332
130206227.882219367961-21.8822193679615
131205242.87466215052-37.8746621505202
132207229.393990968302-22.3939909683023
133190101.41899530338588.5810046966154
134243104.464176281906138.535823718094
135370116.646819371592253.353180628408
136279129.401632467636149.598367532364
137280113.504177893166166.495822106834
138279119.704921138407159.295078861593
139330131.765884767917198.234115232083
140300120.420291339076179.579708660924
141257124.200001281244132.799998718756
142306123.581093318672182.418906681328
143287117.679819529993169.320180470007
144356141.708941343166214.291058656834
145249113.121720409681135.878279590319
146279121.751762692231157.248237307769
147230130.93551792068399.064482079317
148267124.274794505563142.725205494437
149257117.794114474036139.205885525964
150237119.395705194555117.604294805445
151254128.822998858941125.177001141059
152296125.653557237811170.346442762189
153283121.061718297591161.938281702409
154231123.527712244539107.472287755461
155779125.383663498101653.616336501899
156819144.827808700248674.172191299752
157985164.738990793182820.261009206818
158969170.635352664211798.364647335789
159846152.062105526769693.937894473231
160923154.844075579191768.155924420809
161961189.988095825554771.011904174446
162923174.197848238281748.802151761719
163868160.777685782736707.222314217264
164814173.195929369345640.804070630655
165856161.791527178159694.208472821841
1661178.223427351602-177.223427351602
16785184.48263668783-99.4826366878296
16882215.145521506978-133.145521506978
169101244.206345101158-143.206345101158
170113231.630178400044-118.630178400044
171105242.03609288689-137.03609288689
17299240.68919049464-141.68919049464
17394252.891320142528-158.891320142528
17496223.120888247494-127.120888247494
175130231.405097024566-101.405097024566
176103229.3249917257-126.3249917257
17745234.286766087967-189.286766087967
17876228.214094973609-152.214094973609
17995136.88767303582-41.8876730358204
180256141.773225949166114.226774050834
181232127.045754485541104.954245514459
1821133.770946395251-132.770946395251
18384244.047048971587-160.047048971587
184113240.183471827764-127.183471827764
185249120.740479703054128.259520296946
18610118.311460305524-108.311460305524
1871149.436855991904-148.436855991904
18870219.483153764215-149.483153764215
18980159.162288682811-79.1622886828113
19034299.7416215564923242.258378443508
191491139.146368114418351.853631885582
192951139.708284322678811.291715677322
1931146.604537303089-145.604537303089
19498222.317429280953-124.317429280953
19597158.894274423012-61.894274423012
19628890.7895908214383197.210409178562
19759117.432327742522-58.4323277425222
1981144.831691120153-143.831691120153
19987236.527677813474-149.527677813474
20099284.773755328745-185.773755328745
20183138.662070903442-55.6620709034417
20220571.5850683560089133.414931643991
20352115.580883263374-63.5808832633744
2041893.3248729564822-75.3248729564822
20527103.498547179371-76.4985471793711
20629106.727350985724-77.7273509857238
20733106.906544387152-73.906544387152
20832103.454912592529-71.4549125925285
20933108.004668630592-75.004668630592
21042113.955261557919-71.9552615579185
21125100.486481666249-75.4864816662487
21233107.70394404863-74.7039440486305
21334108.547083404516-74.5470834045164
21424109.817313092537-85.8173130925371
21530126.718714295496-96.7187142954956
21622103.155037992731-81.1550379927313
21724107.235472516861-83.2354725168607
21830109.450138368505-79.4501383685046
21927113.412145081473-86.4121450814725
22032105.536421296437-73.5364212964372
22124112.440386588206-88.4403865882058
22229107.034313542369-78.0343135423685
22317106.661750825817-89.6617508258173
22428101.806030492916-73.8060304929162
22532106.469231492859-74.4692314928585
226204172.56601979408131.4339802059189
227215178.43440374501736.5655962549834
228324221.609972199736102.390027800264
229311218.15014560250792.8498543974928
230263205.70188991987257.298110080128
231304211.4104960959592.5895039040497
232255244.44975570400110.5502442959991
233230200.3843411731229.6156588268796
234211207.1058301785073.89416982149308
235228199.56995878786128.4300412121395
236225188.53413472575136.4658652742491
237307280.5842483676826.4157516323197
238230188.70202995520241.2979700447981
239271205.32747895934965.6725210406506
240244222.26018707942721.739812920573
241236221.32682346012714.6731765398733
242224224.546285922424-0.54628592242443
243216187.62103671518628.378963284814
244232214.82783464778617.1721653522138
245207212.211178642383-5.21117864238266
246228223.5532323226764.44676767732399
247198201.805888510047-3.80588851004689
24875121.28258945794-46.2825894579399
24983134.33362036153-51.33362036153
250128149.977790012774-21.9777900127737
25187158.119422950043-71.1194229500434
25291152.64479465457-61.6447946545704
253109152.891139900591-43.8911399005911
254101171.174258925527-70.1742589255271
25593166.405807766311-73.4058077663111
25685144.253456238315-59.2534562383145
25783170.333147329195-87.3331473291945
258106151.065722929994-45.0657229299943
259137208.824476541083-71.8244765410834
26070128.823997120748-58.8239971207478
26173141.287278699242-68.2872786992422
26282147.813293281941-65.8132932819408
263107158.344652605164-51.3446526051644
26489153.092298875083-64.0922988750832






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.000507599072890270.001015198145780540.99949240092711
84.18090189485778e-058.36180378971556e-050.999958190981051
92.42102190153447e-064.84204380306893e-060.999997578978098
103.13357957426617e-076.26715914853234e-070.999999686642043
111.68898169628791e-073.37796339257582e-070.99999983110183
121.44169415173244e-082.88338830346489e-080.999999985583058
131.02545349866999e-092.05090699733997e-090.999999998974547
141.08291940163362e-102.16583880326723e-100.999999999891708
158.05732562737585e-121.61146512547517e-110.999999999991943
165.30886373045901e-131.0617727460918e-120.999999999999469
173.54338085669693e-147.08676171339387e-140.999999999999965
182.31888353411456e-154.63776706822911e-150.999999999999998
194.82972067557809e-169.65944135115617e-161
203.19972745521761e-176.39945491043521e-171
211.98841070545026e-183.97682141090052e-181
222.39527950290771e-194.79055900581541e-191
231.1201812343119e-162.2403624686238e-161
242.85065328143316e-165.70130656286631e-161
259.96184959493173e-161.99236991898635e-150.999999999999999
264.53454969638138e-169.06909939276276e-161
277.42058353317933e-171.48411670663587e-161
283.19954661608293e-176.39909323216586e-171
299.32552373160363e-181.86510474632073e-171
301.52065857583727e-183.04131715167454e-181
315.05357841070131e-191.01071568214026e-181
328.0505326305102e-201.61010652610204e-191
332.98256203055728e-205.96512406111456e-201
346.32169159070935e-211.26433831814187e-201
351.13073536766649e-202.26147073533299e-201
366.76769695108831e-211.35353939021766e-201
371.4975958186873e-212.9951916373746e-211
383.53558750566826e-227.07117501133652e-221
397.87768031962817e-231.57553606392563e-221
401.88618216486507e-233.77236432973013e-231
414.15053170994324e-248.30106341988648e-241
427.09903198709084e-251.41980639741817e-241
431.6996099587853e-253.39921991757059e-251
443.48727639443899e-266.97455278887798e-261
454.2294959288087e-268.4589918576174e-261
461.60968634651015e-263.2193726930203e-261
474.59558117118774e-279.19116234237547e-271
487.45529277949594e-281.49105855589919e-271
491.74089679738354e-283.48179359476708e-281
502.92942043311571e-295.85884086623142e-291
517.71925624338974e-301.54385124867795e-291
521.47171094157805e-302.94342188315611e-301
533.82730328658018e-317.65460657316036e-311
541.70828878099726e-313.41657756199452e-311
553.02844780204594e-326.05689560409188e-321
564.70620860276874e-339.41241720553747e-331
571.27123716335187e-332.54247432670373e-331
582.74728342359656e-345.49456684719312e-341
594.96337102643051e-359.92674205286102e-351
601.15160647523007e-352.30321295046014e-351
612.42271876110699e-364.84543752221398e-361
628.95426019294684e-371.79085203858937e-361
632.23799939489334e-374.47599878978668e-371
644.6566125185921e-389.3132250371842e-381
651.12178361578286e-382.24356723156571e-381
663.25885840659694e-396.51771681319388e-391
671.65254384757046e-393.30508769514092e-391
682.62533300529952e-405.25066601059905e-401
696.49200573954495e-401.29840114790899e-391
703.46046276727921e-406.92092553455842e-401
717.99303329468196e-411.59860665893639e-401
722.68273515265671e-415.36547030531341e-411
732.16654492918619e-414.33308985837237e-411
743.47005831757358e-426.94011663514716e-421
755.50005223711358e-431.10001044742272e-421
769.00389887773292e-441.80077977554658e-431
771.6763695645254e-443.3527391290508e-441
789.16958515513351e-451.8339170310267e-441
791.44276671397738e-452.88553342795477e-451
802.27936232202071e-464.55872464404142e-461
813.46161652833645e-476.92323305667289e-471
825.83048672894446e-481.16609734578889e-471
831.05623908967961e-482.11247817935921e-481
841.60645716812003e-493.21291433624005e-491
852.59137686658671e-505.18275373317342e-501
866.79757930647294e-511.35951586129459e-501
871.01981954971758e-512.03963909943516e-511
881.52133620905298e-523.04267241810596e-521
891.04005006105347e-522.08010012210694e-521
904.12673649573921e-538.25347299147843e-531
911.21418079891376e-532.42836159782753e-531
922.41094725804226e-544.82189451608453e-541
936.85384942924669e-551.37076988584934e-541
941.32044181665498e-552.64088363330996e-551
953.07788309530613e-566.15576619061226e-561
964.57654714425372e-579.15309428850743e-571
976.98914016728054e-581.39782803345611e-571
981.20814999539224e-582.41629999078447e-581
992.08268113824076e-594.16536227648153e-591
1003.18250951592062e-606.36501903184125e-601
1015.30701376089121e-611.06140275217824e-601
1029.23916021057746e-621.84783204211549e-611
1031.51270807377503e-623.02541614755007e-621
1042.77918979975399e-635.55837959950798e-631
1054.6392191542037e-649.2784383084074e-641
1068.75545723748423e-651.75109144749685e-641
1071.55987797294168e-653.11975594588335e-651
1082.82885556202556e-665.65771112405112e-661
1094.50067323190964e-679.00134646381929e-671
1106.67279962961993e-681.33455992592399e-671
1119.36721698895626e-681.87344339779125e-671
1121.73423042181339e-663.46846084362678e-661
1133.13757769831942e-646.27515539663884e-641
1141.00994748350402e-632.01989496700804e-631
1158.01677127213865e-631.60335425442773e-621
1161.39978653215068e-622.79957306430137e-621
1177.7131141285193e-631.54262282570386e-621
1182.25249875582364e-624.50499751164727e-621
1198.47998307474646e-631.69599661494929e-621
1203.51839470534687e-637.03678941069374e-631
1215.86497544353082e-641.17299508870616e-631
1221.70551633862692e-643.41103267725384e-641
1234.77594956614671e-659.55189913229343e-651
1247.37055746266168e-661.47411149253234e-651
1251.28954802685317e-662.57909605370634e-661
1262.7340153848999e-675.46803076979979e-671
1274.32261668086853e-688.64523336173707e-681
1287.86000111092268e-691.57200022218454e-681
1291.17989747568198e-692.35979495136395e-691
1301.76882429024142e-703.53764858048285e-701
1313.20005145199244e-716.40010290398487e-711
1326.51282997731988e-721.30256599546398e-711
1331.36573784151793e-692.73147568303585e-691
1341.15711200529982e-662.31422401059964e-661
1354.24016959007014e-618.48033918014027e-611
1361.09380500349666e-602.18761000699332e-601
1376.27982972970238e-591.25596594594048e-581
1381.28967546301768e-582.57935092603536e-581
1397.03397023202987e-581.40679404640597e-571
1402.40126403676407e-574.80252807352814e-571
1413.46925483693194e-576.93850967386389e-571
1422.48616995269136e-564.97233990538271e-561
1434.04417643015487e-558.08835286030974e-551
1444.76706065364231e-559.53412130728463e-551
1451.85764108146043e-543.71528216292085e-541
1461.4033655440919e-532.8067310881838e-531
1474.04024392736889e-548.08048785473779e-541
1482.55063690115316e-545.10127380230633e-541
1491.01000243881642e-542.02000487763284e-541
1505.51209177605541e-551.10241835521108e-541
1514.99517093023529e-559.99034186047059e-551
1521.36423540078093e-542.72847080156186e-541
1535.85079277803731e-551.17015855560746e-541
1542.77944611364552e-555.55889222729104e-551
1554.30234276586247e-448.60468553172493e-441
1565.18617577955114e-361.03723515591023e-351
1574.99030188412474e-299.98060376824947e-291
1584.27497423219391e-228.54994846438782e-221
1596.13419950813903e-181.22683990162781e-171
1601.66297084722108e-153.32594169444216e-150.999999999999998
1611.50414466236323e-123.00828932472647e-120.999999999998496
1621.06022172883248e-092.12044345766497e-090.999999998939778
1636.09310524833023e-071.21862104966605e-060.999999390689475
1649.53926055254191e-050.0001907852110508380.999904607394475
1650.02576036167416230.05152072334832460.974239638325838
1660.7260558465420980.5478883069158040.273944153457902
1670.7428875757013090.5142248485973820.257112424298691
1680.9999861882371492.76235257029563e-051.38117628514782e-05
1690.9999979515371114.0969257785435e-062.04846288927175e-06
1700.9999987532048792.49359024275764e-061.24679512137882e-06
1710.9999987480394442.50392111286314e-061.25196055643157e-06
1720.9999985269303022.94613939550976e-061.47306969775488e-06
1730.9999983269997713.34600045774508e-061.67300022887254e-06
1740.999997715629744.56874052048917e-062.28437026024459e-06
1750.9999966517169586.69656608370893e-063.34828304185447e-06
1760.999995569786768.86042647908382e-064.43021323954191e-06
1770.9999963459528867.30809422724279e-063.65404711362139e-06
1780.9999974644391865.07112162763872e-062.53556081381936e-06
1790.9999967229741546.55405169242751e-063.27702584621376e-06
1800.9999959591679368.08166412769879e-064.04083206384939e-06
1810.999995721920728.55615856099976e-064.27807928049988e-06
1820.9999953652131169.26957376841034e-064.63478688420517e-06
1830.9999939979962011.20040075973731e-056.00200379868656e-06
1840.9999918521790771.62956418452737e-058.14782092263685e-06
1850.9999894787547972.10424904067219e-051.0521245203361e-05
1860.9999848899705913.02200588188943e-051.51100294094471e-05
1870.9999839169940153.21660119691721e-051.60830059845861e-05
1880.9999782737471054.34525057894481e-052.1726252894724e-05
1890.999969818684426.03626311599653e-053.01813155799827e-05
1900.9999831185269943.37629460122719e-051.68814730061359e-05
1910.9999990282876231.94342475314223e-069.71712376571114e-07
19218.35298636751148e-224.17649318375574e-22
19318.74253604355525e-224.37126802177763e-22
19411.79013520135507e-218.95067600677535e-22
19511.02665131484552e-215.13325657422758e-22
19611.65471729456131e-248.27358647280656e-25
19714.88383856155078e-242.44191928077539e-24
19813.87601023392009e-241.93800511696005e-24
19917.72554699472093e-253.86277349736047e-25
20011.99900261133679e-389.99501305668396e-39
20111.92814099797525e-399.64070498987626e-40
20217.19267475979377e-413.59633737989688e-41
20314.94165473819526e-402.47082736909763e-40
20413.86809730261077e-391.93404865130539e-39
20513.08213387247813e-381.54106693623906e-38
20612.25687460315496e-371.12843730157748e-37
20711.61331874847756e-368.0665937423878e-37
20811.25531778794871e-356.27658893974356e-36
20919.42250404740069e-354.71125202370035e-35
21016.76044315108373e-343.38022157554187e-34
21114.89661646701539e-332.44830823350769e-33
21212.48741724805647e-321.24370862402823e-32
21311.37866023116094e-316.89330115580472e-32
21411.01058402391273e-305.05292011956367e-31
21515.72027204831865e-302.86013602415932e-30
21613.98538768803406e-291.99269384401703e-29
21712.82247152907967e-281.41123576453983e-28
21811.962232073443e-279.81116036721499e-28
21911.32962353673762e-266.64811768368812e-27
22019.15398080868926e-264.57699040434463e-26
22116.18989441500776e-253.09494720750388e-25
22214.14303061145926e-242.07151530572963e-24
22312.45865230930023e-231.22932615465011e-23
22411.56981223081385e-227.84906115406925e-23
22519.81191056494488e-224.90595528247244e-22
22611.95582040483153e-219.77910202415766e-22
22711.26966655165444e-206.34833275827221e-21
22812.94837287283681e-211.4741864364184e-21
22913.29464883839839e-221.64732441919919e-22
23013.09278517820126e-221.54639258910063e-22
23111.3608593675892e-226.80429683794601e-23
23216.11472992984175e-233.05736496492087e-23
23315.63692162375491e-222.81846081187746e-22
23412.50133553719091e-211.25066776859545e-21
23511.90094892564113e-209.50474462820566e-21
23611.86220871442971e-199.31104357214853e-20
23716.94890541585025e-193.47445270792513e-19
23811.3114550599906e-186.55727529995301e-19
23912.91834132025747e-201.45917066012874e-20
24012.74851669222686e-191.37425834611343e-19
24111.76764490412568e-188.83822452062839e-19
24213.3674703800095e-181.68373519000475e-18
24312.59631459415245e-181.29815729707622e-18
24413.82010999900554e-171.91005499950277e-17
24514.49424265861363e-162.24712132930681e-16
2460.9999999999999967.36373352104641e-153.68186676052321e-15
2470.9999999999999967.37597466256629e-153.68798733128315e-15
2480.9999999999999331.34138277429657e-136.70691387148284e-14
2490.9999999999987772.44630173417629e-121.22315086708815e-12
2500.9999999999982243.5516564304891e-121.77582821524455e-12
2510.9999999999824053.51906466450365e-111.75953233225182e-11
2520.9999999997601144.797726045436e-102.398863022718e-10
2530.9999999991651771.66964650797372e-098.3482325398686e-10
2540.9999999780123534.39752941846053e-082.19876470923026e-08
2550.9999996231314067.53737188418533e-073.76868594209267e-07
2560.9999908120959291.8375808141255e-059.18790407062752e-06
2570.9998086986290160.0003826027419686420.000191301370984321

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
7 & 0.00050759907289027 & 0.00101519814578054 & 0.99949240092711 \tabularnewline
8 & 4.18090189485778e-05 & 8.36180378971556e-05 & 0.999958190981051 \tabularnewline
9 & 2.42102190153447e-06 & 4.84204380306893e-06 & 0.999997578978098 \tabularnewline
10 & 3.13357957426617e-07 & 6.26715914853234e-07 & 0.999999686642043 \tabularnewline
11 & 1.68898169628791e-07 & 3.37796339257582e-07 & 0.99999983110183 \tabularnewline
12 & 1.44169415173244e-08 & 2.88338830346489e-08 & 0.999999985583058 \tabularnewline
13 & 1.02545349866999e-09 & 2.05090699733997e-09 & 0.999999998974547 \tabularnewline
14 & 1.08291940163362e-10 & 2.16583880326723e-10 & 0.999999999891708 \tabularnewline
15 & 8.05732562737585e-12 & 1.61146512547517e-11 & 0.999999999991943 \tabularnewline
16 & 5.30886373045901e-13 & 1.0617727460918e-12 & 0.999999999999469 \tabularnewline
17 & 3.54338085669693e-14 & 7.08676171339387e-14 & 0.999999999999965 \tabularnewline
18 & 2.31888353411456e-15 & 4.63776706822911e-15 & 0.999999999999998 \tabularnewline
19 & 4.82972067557809e-16 & 9.65944135115617e-16 & 1 \tabularnewline
20 & 3.19972745521761e-17 & 6.39945491043521e-17 & 1 \tabularnewline
21 & 1.98841070545026e-18 & 3.97682141090052e-18 & 1 \tabularnewline
22 & 2.39527950290771e-19 & 4.79055900581541e-19 & 1 \tabularnewline
23 & 1.1201812343119e-16 & 2.2403624686238e-16 & 1 \tabularnewline
24 & 2.85065328143316e-16 & 5.70130656286631e-16 & 1 \tabularnewline
25 & 9.96184959493173e-16 & 1.99236991898635e-15 & 0.999999999999999 \tabularnewline
26 & 4.53454969638138e-16 & 9.06909939276276e-16 & 1 \tabularnewline
27 & 7.42058353317933e-17 & 1.48411670663587e-16 & 1 \tabularnewline
28 & 3.19954661608293e-17 & 6.39909323216586e-17 & 1 \tabularnewline
29 & 9.32552373160363e-18 & 1.86510474632073e-17 & 1 \tabularnewline
30 & 1.52065857583727e-18 & 3.04131715167454e-18 & 1 \tabularnewline
31 & 5.05357841070131e-19 & 1.01071568214026e-18 & 1 \tabularnewline
32 & 8.0505326305102e-20 & 1.61010652610204e-19 & 1 \tabularnewline
33 & 2.98256203055728e-20 & 5.96512406111456e-20 & 1 \tabularnewline
34 & 6.32169159070935e-21 & 1.26433831814187e-20 & 1 \tabularnewline
35 & 1.13073536766649e-20 & 2.26147073533299e-20 & 1 \tabularnewline
36 & 6.76769695108831e-21 & 1.35353939021766e-20 & 1 \tabularnewline
37 & 1.4975958186873e-21 & 2.9951916373746e-21 & 1 \tabularnewline
38 & 3.53558750566826e-22 & 7.07117501133652e-22 & 1 \tabularnewline
39 & 7.87768031962817e-23 & 1.57553606392563e-22 & 1 \tabularnewline
40 & 1.88618216486507e-23 & 3.77236432973013e-23 & 1 \tabularnewline
41 & 4.15053170994324e-24 & 8.30106341988648e-24 & 1 \tabularnewline
42 & 7.09903198709084e-25 & 1.41980639741817e-24 & 1 \tabularnewline
43 & 1.6996099587853e-25 & 3.39921991757059e-25 & 1 \tabularnewline
44 & 3.48727639443899e-26 & 6.97455278887798e-26 & 1 \tabularnewline
45 & 4.2294959288087e-26 & 8.4589918576174e-26 & 1 \tabularnewline
46 & 1.60968634651015e-26 & 3.2193726930203e-26 & 1 \tabularnewline
47 & 4.59558117118774e-27 & 9.19116234237547e-27 & 1 \tabularnewline
48 & 7.45529277949594e-28 & 1.49105855589919e-27 & 1 \tabularnewline
49 & 1.74089679738354e-28 & 3.48179359476708e-28 & 1 \tabularnewline
50 & 2.92942043311571e-29 & 5.85884086623142e-29 & 1 \tabularnewline
51 & 7.71925624338974e-30 & 1.54385124867795e-29 & 1 \tabularnewline
52 & 1.47171094157805e-30 & 2.94342188315611e-30 & 1 \tabularnewline
53 & 3.82730328658018e-31 & 7.65460657316036e-31 & 1 \tabularnewline
54 & 1.70828878099726e-31 & 3.41657756199452e-31 & 1 \tabularnewline
55 & 3.02844780204594e-32 & 6.05689560409188e-32 & 1 \tabularnewline
56 & 4.70620860276874e-33 & 9.41241720553747e-33 & 1 \tabularnewline
57 & 1.27123716335187e-33 & 2.54247432670373e-33 & 1 \tabularnewline
58 & 2.74728342359656e-34 & 5.49456684719312e-34 & 1 \tabularnewline
59 & 4.96337102643051e-35 & 9.92674205286102e-35 & 1 \tabularnewline
60 & 1.15160647523007e-35 & 2.30321295046014e-35 & 1 \tabularnewline
61 & 2.42271876110699e-36 & 4.84543752221398e-36 & 1 \tabularnewline
62 & 8.95426019294684e-37 & 1.79085203858937e-36 & 1 \tabularnewline
63 & 2.23799939489334e-37 & 4.47599878978668e-37 & 1 \tabularnewline
64 & 4.6566125185921e-38 & 9.3132250371842e-38 & 1 \tabularnewline
65 & 1.12178361578286e-38 & 2.24356723156571e-38 & 1 \tabularnewline
66 & 3.25885840659694e-39 & 6.51771681319388e-39 & 1 \tabularnewline
67 & 1.65254384757046e-39 & 3.30508769514092e-39 & 1 \tabularnewline
68 & 2.62533300529952e-40 & 5.25066601059905e-40 & 1 \tabularnewline
69 & 6.49200573954495e-40 & 1.29840114790899e-39 & 1 \tabularnewline
70 & 3.46046276727921e-40 & 6.92092553455842e-40 & 1 \tabularnewline
71 & 7.99303329468196e-41 & 1.59860665893639e-40 & 1 \tabularnewline
72 & 2.68273515265671e-41 & 5.36547030531341e-41 & 1 \tabularnewline
73 & 2.16654492918619e-41 & 4.33308985837237e-41 & 1 \tabularnewline
74 & 3.47005831757358e-42 & 6.94011663514716e-42 & 1 \tabularnewline
75 & 5.50005223711358e-43 & 1.10001044742272e-42 & 1 \tabularnewline
76 & 9.00389887773292e-44 & 1.80077977554658e-43 & 1 \tabularnewline
77 & 1.6763695645254e-44 & 3.3527391290508e-44 & 1 \tabularnewline
78 & 9.16958515513351e-45 & 1.8339170310267e-44 & 1 \tabularnewline
79 & 1.44276671397738e-45 & 2.88553342795477e-45 & 1 \tabularnewline
80 & 2.27936232202071e-46 & 4.55872464404142e-46 & 1 \tabularnewline
81 & 3.46161652833645e-47 & 6.92323305667289e-47 & 1 \tabularnewline
82 & 5.83048672894446e-48 & 1.16609734578889e-47 & 1 \tabularnewline
83 & 1.05623908967961e-48 & 2.11247817935921e-48 & 1 \tabularnewline
84 & 1.60645716812003e-49 & 3.21291433624005e-49 & 1 \tabularnewline
85 & 2.59137686658671e-50 & 5.18275373317342e-50 & 1 \tabularnewline
86 & 6.79757930647294e-51 & 1.35951586129459e-50 & 1 \tabularnewline
87 & 1.01981954971758e-51 & 2.03963909943516e-51 & 1 \tabularnewline
88 & 1.52133620905298e-52 & 3.04267241810596e-52 & 1 \tabularnewline
89 & 1.04005006105347e-52 & 2.08010012210694e-52 & 1 \tabularnewline
90 & 4.12673649573921e-53 & 8.25347299147843e-53 & 1 \tabularnewline
91 & 1.21418079891376e-53 & 2.42836159782753e-53 & 1 \tabularnewline
92 & 2.41094725804226e-54 & 4.82189451608453e-54 & 1 \tabularnewline
93 & 6.85384942924669e-55 & 1.37076988584934e-54 & 1 \tabularnewline
94 & 1.32044181665498e-55 & 2.64088363330996e-55 & 1 \tabularnewline
95 & 3.07788309530613e-56 & 6.15576619061226e-56 & 1 \tabularnewline
96 & 4.57654714425372e-57 & 9.15309428850743e-57 & 1 \tabularnewline
97 & 6.98914016728054e-58 & 1.39782803345611e-57 & 1 \tabularnewline
98 & 1.20814999539224e-58 & 2.41629999078447e-58 & 1 \tabularnewline
99 & 2.08268113824076e-59 & 4.16536227648153e-59 & 1 \tabularnewline
100 & 3.18250951592062e-60 & 6.36501903184125e-60 & 1 \tabularnewline
101 & 5.30701376089121e-61 & 1.06140275217824e-60 & 1 \tabularnewline
102 & 9.23916021057746e-62 & 1.84783204211549e-61 & 1 \tabularnewline
103 & 1.51270807377503e-62 & 3.02541614755007e-62 & 1 \tabularnewline
104 & 2.77918979975399e-63 & 5.55837959950798e-63 & 1 \tabularnewline
105 & 4.6392191542037e-64 & 9.2784383084074e-64 & 1 \tabularnewline
106 & 8.75545723748423e-65 & 1.75109144749685e-64 & 1 \tabularnewline
107 & 1.55987797294168e-65 & 3.11975594588335e-65 & 1 \tabularnewline
108 & 2.82885556202556e-66 & 5.65771112405112e-66 & 1 \tabularnewline
109 & 4.50067323190964e-67 & 9.00134646381929e-67 & 1 \tabularnewline
110 & 6.67279962961993e-68 & 1.33455992592399e-67 & 1 \tabularnewline
111 & 9.36721698895626e-68 & 1.87344339779125e-67 & 1 \tabularnewline
112 & 1.73423042181339e-66 & 3.46846084362678e-66 & 1 \tabularnewline
113 & 3.13757769831942e-64 & 6.27515539663884e-64 & 1 \tabularnewline
114 & 1.00994748350402e-63 & 2.01989496700804e-63 & 1 \tabularnewline
115 & 8.01677127213865e-63 & 1.60335425442773e-62 & 1 \tabularnewline
116 & 1.39978653215068e-62 & 2.79957306430137e-62 & 1 \tabularnewline
117 & 7.7131141285193e-63 & 1.54262282570386e-62 & 1 \tabularnewline
118 & 2.25249875582364e-62 & 4.50499751164727e-62 & 1 \tabularnewline
119 & 8.47998307474646e-63 & 1.69599661494929e-62 & 1 \tabularnewline
120 & 3.51839470534687e-63 & 7.03678941069374e-63 & 1 \tabularnewline
121 & 5.86497544353082e-64 & 1.17299508870616e-63 & 1 \tabularnewline
122 & 1.70551633862692e-64 & 3.41103267725384e-64 & 1 \tabularnewline
123 & 4.77594956614671e-65 & 9.55189913229343e-65 & 1 \tabularnewline
124 & 7.37055746266168e-66 & 1.47411149253234e-65 & 1 \tabularnewline
125 & 1.28954802685317e-66 & 2.57909605370634e-66 & 1 \tabularnewline
126 & 2.7340153848999e-67 & 5.46803076979979e-67 & 1 \tabularnewline
127 & 4.32261668086853e-68 & 8.64523336173707e-68 & 1 \tabularnewline
128 & 7.86000111092268e-69 & 1.57200022218454e-68 & 1 \tabularnewline
129 & 1.17989747568198e-69 & 2.35979495136395e-69 & 1 \tabularnewline
130 & 1.76882429024142e-70 & 3.53764858048285e-70 & 1 \tabularnewline
131 & 3.20005145199244e-71 & 6.40010290398487e-71 & 1 \tabularnewline
132 & 6.51282997731988e-72 & 1.30256599546398e-71 & 1 \tabularnewline
133 & 1.36573784151793e-69 & 2.73147568303585e-69 & 1 \tabularnewline
134 & 1.15711200529982e-66 & 2.31422401059964e-66 & 1 \tabularnewline
135 & 4.24016959007014e-61 & 8.48033918014027e-61 & 1 \tabularnewline
136 & 1.09380500349666e-60 & 2.18761000699332e-60 & 1 \tabularnewline
137 & 6.27982972970238e-59 & 1.25596594594048e-58 & 1 \tabularnewline
138 & 1.28967546301768e-58 & 2.57935092603536e-58 & 1 \tabularnewline
139 & 7.03397023202987e-58 & 1.40679404640597e-57 & 1 \tabularnewline
140 & 2.40126403676407e-57 & 4.80252807352814e-57 & 1 \tabularnewline
141 & 3.46925483693194e-57 & 6.93850967386389e-57 & 1 \tabularnewline
142 & 2.48616995269136e-56 & 4.97233990538271e-56 & 1 \tabularnewline
143 & 4.04417643015487e-55 & 8.08835286030974e-55 & 1 \tabularnewline
144 & 4.76706065364231e-55 & 9.53412130728463e-55 & 1 \tabularnewline
145 & 1.85764108146043e-54 & 3.71528216292085e-54 & 1 \tabularnewline
146 & 1.4033655440919e-53 & 2.8067310881838e-53 & 1 \tabularnewline
147 & 4.04024392736889e-54 & 8.08048785473779e-54 & 1 \tabularnewline
148 & 2.55063690115316e-54 & 5.10127380230633e-54 & 1 \tabularnewline
149 & 1.01000243881642e-54 & 2.02000487763284e-54 & 1 \tabularnewline
150 & 5.51209177605541e-55 & 1.10241835521108e-54 & 1 \tabularnewline
151 & 4.99517093023529e-55 & 9.99034186047059e-55 & 1 \tabularnewline
152 & 1.36423540078093e-54 & 2.72847080156186e-54 & 1 \tabularnewline
153 & 5.85079277803731e-55 & 1.17015855560746e-54 & 1 \tabularnewline
154 & 2.77944611364552e-55 & 5.55889222729104e-55 & 1 \tabularnewline
155 & 4.30234276586247e-44 & 8.60468553172493e-44 & 1 \tabularnewline
156 & 5.18617577955114e-36 & 1.03723515591023e-35 & 1 \tabularnewline
157 & 4.99030188412474e-29 & 9.98060376824947e-29 & 1 \tabularnewline
158 & 4.27497423219391e-22 & 8.54994846438782e-22 & 1 \tabularnewline
159 & 6.13419950813903e-18 & 1.22683990162781e-17 & 1 \tabularnewline
160 & 1.66297084722108e-15 & 3.32594169444216e-15 & 0.999999999999998 \tabularnewline
161 & 1.50414466236323e-12 & 3.00828932472647e-12 & 0.999999999998496 \tabularnewline
162 & 1.06022172883248e-09 & 2.12044345766497e-09 & 0.999999998939778 \tabularnewline
163 & 6.09310524833023e-07 & 1.21862104966605e-06 & 0.999999390689475 \tabularnewline
164 & 9.53926055254191e-05 & 0.000190785211050838 & 0.999904607394475 \tabularnewline
165 & 0.0257603616741623 & 0.0515207233483246 & 0.974239638325838 \tabularnewline
166 & 0.726055846542098 & 0.547888306915804 & 0.273944153457902 \tabularnewline
167 & 0.742887575701309 & 0.514224848597382 & 0.257112424298691 \tabularnewline
168 & 0.999986188237149 & 2.76235257029563e-05 & 1.38117628514782e-05 \tabularnewline
169 & 0.999997951537111 & 4.0969257785435e-06 & 2.04846288927175e-06 \tabularnewline
170 & 0.999998753204879 & 2.49359024275764e-06 & 1.24679512137882e-06 \tabularnewline
171 & 0.999998748039444 & 2.50392111286314e-06 & 1.25196055643157e-06 \tabularnewline
172 & 0.999998526930302 & 2.94613939550976e-06 & 1.47306969775488e-06 \tabularnewline
173 & 0.999998326999771 & 3.34600045774508e-06 & 1.67300022887254e-06 \tabularnewline
174 & 0.99999771562974 & 4.56874052048917e-06 & 2.28437026024459e-06 \tabularnewline
175 & 0.999996651716958 & 6.69656608370893e-06 & 3.34828304185447e-06 \tabularnewline
176 & 0.99999556978676 & 8.86042647908382e-06 & 4.43021323954191e-06 \tabularnewline
177 & 0.999996345952886 & 7.30809422724279e-06 & 3.65404711362139e-06 \tabularnewline
178 & 0.999997464439186 & 5.07112162763872e-06 & 2.53556081381936e-06 \tabularnewline
179 & 0.999996722974154 & 6.55405169242751e-06 & 3.27702584621376e-06 \tabularnewline
180 & 0.999995959167936 & 8.08166412769879e-06 & 4.04083206384939e-06 \tabularnewline
181 & 0.99999572192072 & 8.55615856099976e-06 & 4.27807928049988e-06 \tabularnewline
182 & 0.999995365213116 & 9.26957376841034e-06 & 4.63478688420517e-06 \tabularnewline
183 & 0.999993997996201 & 1.20040075973731e-05 & 6.00200379868656e-06 \tabularnewline
184 & 0.999991852179077 & 1.62956418452737e-05 & 8.14782092263685e-06 \tabularnewline
185 & 0.999989478754797 & 2.10424904067219e-05 & 1.0521245203361e-05 \tabularnewline
186 & 0.999984889970591 & 3.02200588188943e-05 & 1.51100294094471e-05 \tabularnewline
187 & 0.999983916994015 & 3.21660119691721e-05 & 1.60830059845861e-05 \tabularnewline
188 & 0.999978273747105 & 4.34525057894481e-05 & 2.1726252894724e-05 \tabularnewline
189 & 0.99996981868442 & 6.03626311599653e-05 & 3.01813155799827e-05 \tabularnewline
190 & 0.999983118526994 & 3.37629460122719e-05 & 1.68814730061359e-05 \tabularnewline
191 & 0.999999028287623 & 1.94342475314223e-06 & 9.71712376571114e-07 \tabularnewline
192 & 1 & 8.35298636751148e-22 & 4.17649318375574e-22 \tabularnewline
193 & 1 & 8.74253604355525e-22 & 4.37126802177763e-22 \tabularnewline
194 & 1 & 1.79013520135507e-21 & 8.95067600677535e-22 \tabularnewline
195 & 1 & 1.02665131484552e-21 & 5.13325657422758e-22 \tabularnewline
196 & 1 & 1.65471729456131e-24 & 8.27358647280656e-25 \tabularnewline
197 & 1 & 4.88383856155078e-24 & 2.44191928077539e-24 \tabularnewline
198 & 1 & 3.87601023392009e-24 & 1.93800511696005e-24 \tabularnewline
199 & 1 & 7.72554699472093e-25 & 3.86277349736047e-25 \tabularnewline
200 & 1 & 1.99900261133679e-38 & 9.99501305668396e-39 \tabularnewline
201 & 1 & 1.92814099797525e-39 & 9.64070498987626e-40 \tabularnewline
202 & 1 & 7.19267475979377e-41 & 3.59633737989688e-41 \tabularnewline
203 & 1 & 4.94165473819526e-40 & 2.47082736909763e-40 \tabularnewline
204 & 1 & 3.86809730261077e-39 & 1.93404865130539e-39 \tabularnewline
205 & 1 & 3.08213387247813e-38 & 1.54106693623906e-38 \tabularnewline
206 & 1 & 2.25687460315496e-37 & 1.12843730157748e-37 \tabularnewline
207 & 1 & 1.61331874847756e-36 & 8.0665937423878e-37 \tabularnewline
208 & 1 & 1.25531778794871e-35 & 6.27658893974356e-36 \tabularnewline
209 & 1 & 9.42250404740069e-35 & 4.71125202370035e-35 \tabularnewline
210 & 1 & 6.76044315108373e-34 & 3.38022157554187e-34 \tabularnewline
211 & 1 & 4.89661646701539e-33 & 2.44830823350769e-33 \tabularnewline
212 & 1 & 2.48741724805647e-32 & 1.24370862402823e-32 \tabularnewline
213 & 1 & 1.37866023116094e-31 & 6.89330115580472e-32 \tabularnewline
214 & 1 & 1.01058402391273e-30 & 5.05292011956367e-31 \tabularnewline
215 & 1 & 5.72027204831865e-30 & 2.86013602415932e-30 \tabularnewline
216 & 1 & 3.98538768803406e-29 & 1.99269384401703e-29 \tabularnewline
217 & 1 & 2.82247152907967e-28 & 1.41123576453983e-28 \tabularnewline
218 & 1 & 1.962232073443e-27 & 9.81116036721499e-28 \tabularnewline
219 & 1 & 1.32962353673762e-26 & 6.64811768368812e-27 \tabularnewline
220 & 1 & 9.15398080868926e-26 & 4.57699040434463e-26 \tabularnewline
221 & 1 & 6.18989441500776e-25 & 3.09494720750388e-25 \tabularnewline
222 & 1 & 4.14303061145926e-24 & 2.07151530572963e-24 \tabularnewline
223 & 1 & 2.45865230930023e-23 & 1.22932615465011e-23 \tabularnewline
224 & 1 & 1.56981223081385e-22 & 7.84906115406925e-23 \tabularnewline
225 & 1 & 9.81191056494488e-22 & 4.90595528247244e-22 \tabularnewline
226 & 1 & 1.95582040483153e-21 & 9.77910202415766e-22 \tabularnewline
227 & 1 & 1.26966655165444e-20 & 6.34833275827221e-21 \tabularnewline
228 & 1 & 2.94837287283681e-21 & 1.4741864364184e-21 \tabularnewline
229 & 1 & 3.29464883839839e-22 & 1.64732441919919e-22 \tabularnewline
230 & 1 & 3.09278517820126e-22 & 1.54639258910063e-22 \tabularnewline
231 & 1 & 1.3608593675892e-22 & 6.80429683794601e-23 \tabularnewline
232 & 1 & 6.11472992984175e-23 & 3.05736496492087e-23 \tabularnewline
233 & 1 & 5.63692162375491e-22 & 2.81846081187746e-22 \tabularnewline
234 & 1 & 2.50133553719091e-21 & 1.25066776859545e-21 \tabularnewline
235 & 1 & 1.90094892564113e-20 & 9.50474462820566e-21 \tabularnewline
236 & 1 & 1.86220871442971e-19 & 9.31104357214853e-20 \tabularnewline
237 & 1 & 6.94890541585025e-19 & 3.47445270792513e-19 \tabularnewline
238 & 1 & 1.3114550599906e-18 & 6.55727529995301e-19 \tabularnewline
239 & 1 & 2.91834132025747e-20 & 1.45917066012874e-20 \tabularnewline
240 & 1 & 2.74851669222686e-19 & 1.37425834611343e-19 \tabularnewline
241 & 1 & 1.76764490412568e-18 & 8.83822452062839e-19 \tabularnewline
242 & 1 & 3.3674703800095e-18 & 1.68373519000475e-18 \tabularnewline
243 & 1 & 2.59631459415245e-18 & 1.29815729707622e-18 \tabularnewline
244 & 1 & 3.82010999900554e-17 & 1.91005499950277e-17 \tabularnewline
245 & 1 & 4.49424265861363e-16 & 2.24712132930681e-16 \tabularnewline
246 & 0.999999999999996 & 7.36373352104641e-15 & 3.68186676052321e-15 \tabularnewline
247 & 0.999999999999996 & 7.37597466256629e-15 & 3.68798733128315e-15 \tabularnewline
248 & 0.999999999999933 & 1.34138277429657e-13 & 6.70691387148284e-14 \tabularnewline
249 & 0.999999999998777 & 2.44630173417629e-12 & 1.22315086708815e-12 \tabularnewline
250 & 0.999999999998224 & 3.5516564304891e-12 & 1.77582821524455e-12 \tabularnewline
251 & 0.999999999982405 & 3.51906466450365e-11 & 1.75953233225182e-11 \tabularnewline
252 & 0.999999999760114 & 4.797726045436e-10 & 2.398863022718e-10 \tabularnewline
253 & 0.999999999165177 & 1.66964650797372e-09 & 8.3482325398686e-10 \tabularnewline
254 & 0.999999978012353 & 4.39752941846053e-08 & 2.19876470923026e-08 \tabularnewline
255 & 0.999999623131406 & 7.53737188418533e-07 & 3.76868594209267e-07 \tabularnewline
256 & 0.999990812095929 & 1.8375808141255e-05 & 9.18790407062752e-06 \tabularnewline
257 & 0.999808698629016 & 0.000382602741968642 & 0.000191301370984321 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146756&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]7[/C][C]0.00050759907289027[/C][C]0.00101519814578054[/C][C]0.99949240092711[/C][/ROW]
[ROW][C]8[/C][C]4.18090189485778e-05[/C][C]8.36180378971556e-05[/C][C]0.999958190981051[/C][/ROW]
[ROW][C]9[/C][C]2.42102190153447e-06[/C][C]4.84204380306893e-06[/C][C]0.999997578978098[/C][/ROW]
[ROW][C]10[/C][C]3.13357957426617e-07[/C][C]6.26715914853234e-07[/C][C]0.999999686642043[/C][/ROW]
[ROW][C]11[/C][C]1.68898169628791e-07[/C][C]3.37796339257582e-07[/C][C]0.99999983110183[/C][/ROW]
[ROW][C]12[/C][C]1.44169415173244e-08[/C][C]2.88338830346489e-08[/C][C]0.999999985583058[/C][/ROW]
[ROW][C]13[/C][C]1.02545349866999e-09[/C][C]2.05090699733997e-09[/C][C]0.999999998974547[/C][/ROW]
[ROW][C]14[/C][C]1.08291940163362e-10[/C][C]2.16583880326723e-10[/C][C]0.999999999891708[/C][/ROW]
[ROW][C]15[/C][C]8.05732562737585e-12[/C][C]1.61146512547517e-11[/C][C]0.999999999991943[/C][/ROW]
[ROW][C]16[/C][C]5.30886373045901e-13[/C][C]1.0617727460918e-12[/C][C]0.999999999999469[/C][/ROW]
[ROW][C]17[/C][C]3.54338085669693e-14[/C][C]7.08676171339387e-14[/C][C]0.999999999999965[/C][/ROW]
[ROW][C]18[/C][C]2.31888353411456e-15[/C][C]4.63776706822911e-15[/C][C]0.999999999999998[/C][/ROW]
[ROW][C]19[/C][C]4.82972067557809e-16[/C][C]9.65944135115617e-16[/C][C]1[/C][/ROW]
[ROW][C]20[/C][C]3.19972745521761e-17[/C][C]6.39945491043521e-17[/C][C]1[/C][/ROW]
[ROW][C]21[/C][C]1.98841070545026e-18[/C][C]3.97682141090052e-18[/C][C]1[/C][/ROW]
[ROW][C]22[/C][C]2.39527950290771e-19[/C][C]4.79055900581541e-19[/C][C]1[/C][/ROW]
[ROW][C]23[/C][C]1.1201812343119e-16[/C][C]2.2403624686238e-16[/C][C]1[/C][/ROW]
[ROW][C]24[/C][C]2.85065328143316e-16[/C][C]5.70130656286631e-16[/C][C]1[/C][/ROW]
[ROW][C]25[/C][C]9.96184959493173e-16[/C][C]1.99236991898635e-15[/C][C]0.999999999999999[/C][/ROW]
[ROW][C]26[/C][C]4.53454969638138e-16[/C][C]9.06909939276276e-16[/C][C]1[/C][/ROW]
[ROW][C]27[/C][C]7.42058353317933e-17[/C][C]1.48411670663587e-16[/C][C]1[/C][/ROW]
[ROW][C]28[/C][C]3.19954661608293e-17[/C][C]6.39909323216586e-17[/C][C]1[/C][/ROW]
[ROW][C]29[/C][C]9.32552373160363e-18[/C][C]1.86510474632073e-17[/C][C]1[/C][/ROW]
[ROW][C]30[/C][C]1.52065857583727e-18[/C][C]3.04131715167454e-18[/C][C]1[/C][/ROW]
[ROW][C]31[/C][C]5.05357841070131e-19[/C][C]1.01071568214026e-18[/C][C]1[/C][/ROW]
[ROW][C]32[/C][C]8.0505326305102e-20[/C][C]1.61010652610204e-19[/C][C]1[/C][/ROW]
[ROW][C]33[/C][C]2.98256203055728e-20[/C][C]5.96512406111456e-20[/C][C]1[/C][/ROW]
[ROW][C]34[/C][C]6.32169159070935e-21[/C][C]1.26433831814187e-20[/C][C]1[/C][/ROW]
[ROW][C]35[/C][C]1.13073536766649e-20[/C][C]2.26147073533299e-20[/C][C]1[/C][/ROW]
[ROW][C]36[/C][C]6.76769695108831e-21[/C][C]1.35353939021766e-20[/C][C]1[/C][/ROW]
[ROW][C]37[/C][C]1.4975958186873e-21[/C][C]2.9951916373746e-21[/C][C]1[/C][/ROW]
[ROW][C]38[/C][C]3.53558750566826e-22[/C][C]7.07117501133652e-22[/C][C]1[/C][/ROW]
[ROW][C]39[/C][C]7.87768031962817e-23[/C][C]1.57553606392563e-22[/C][C]1[/C][/ROW]
[ROW][C]40[/C][C]1.88618216486507e-23[/C][C]3.77236432973013e-23[/C][C]1[/C][/ROW]
[ROW][C]41[/C][C]4.15053170994324e-24[/C][C]8.30106341988648e-24[/C][C]1[/C][/ROW]
[ROW][C]42[/C][C]7.09903198709084e-25[/C][C]1.41980639741817e-24[/C][C]1[/C][/ROW]
[ROW][C]43[/C][C]1.6996099587853e-25[/C][C]3.39921991757059e-25[/C][C]1[/C][/ROW]
[ROW][C]44[/C][C]3.48727639443899e-26[/C][C]6.97455278887798e-26[/C][C]1[/C][/ROW]
[ROW][C]45[/C][C]4.2294959288087e-26[/C][C]8.4589918576174e-26[/C][C]1[/C][/ROW]
[ROW][C]46[/C][C]1.60968634651015e-26[/C][C]3.2193726930203e-26[/C][C]1[/C][/ROW]
[ROW][C]47[/C][C]4.59558117118774e-27[/C][C]9.19116234237547e-27[/C][C]1[/C][/ROW]
[ROW][C]48[/C][C]7.45529277949594e-28[/C][C]1.49105855589919e-27[/C][C]1[/C][/ROW]
[ROW][C]49[/C][C]1.74089679738354e-28[/C][C]3.48179359476708e-28[/C][C]1[/C][/ROW]
[ROW][C]50[/C][C]2.92942043311571e-29[/C][C]5.85884086623142e-29[/C][C]1[/C][/ROW]
[ROW][C]51[/C][C]7.71925624338974e-30[/C][C]1.54385124867795e-29[/C][C]1[/C][/ROW]
[ROW][C]52[/C][C]1.47171094157805e-30[/C][C]2.94342188315611e-30[/C][C]1[/C][/ROW]
[ROW][C]53[/C][C]3.82730328658018e-31[/C][C]7.65460657316036e-31[/C][C]1[/C][/ROW]
[ROW][C]54[/C][C]1.70828878099726e-31[/C][C]3.41657756199452e-31[/C][C]1[/C][/ROW]
[ROW][C]55[/C][C]3.02844780204594e-32[/C][C]6.05689560409188e-32[/C][C]1[/C][/ROW]
[ROW][C]56[/C][C]4.70620860276874e-33[/C][C]9.41241720553747e-33[/C][C]1[/C][/ROW]
[ROW][C]57[/C][C]1.27123716335187e-33[/C][C]2.54247432670373e-33[/C][C]1[/C][/ROW]
[ROW][C]58[/C][C]2.74728342359656e-34[/C][C]5.49456684719312e-34[/C][C]1[/C][/ROW]
[ROW][C]59[/C][C]4.96337102643051e-35[/C][C]9.92674205286102e-35[/C][C]1[/C][/ROW]
[ROW][C]60[/C][C]1.15160647523007e-35[/C][C]2.30321295046014e-35[/C][C]1[/C][/ROW]
[ROW][C]61[/C][C]2.42271876110699e-36[/C][C]4.84543752221398e-36[/C][C]1[/C][/ROW]
[ROW][C]62[/C][C]8.95426019294684e-37[/C][C]1.79085203858937e-36[/C][C]1[/C][/ROW]
[ROW][C]63[/C][C]2.23799939489334e-37[/C][C]4.47599878978668e-37[/C][C]1[/C][/ROW]
[ROW][C]64[/C][C]4.6566125185921e-38[/C][C]9.3132250371842e-38[/C][C]1[/C][/ROW]
[ROW][C]65[/C][C]1.12178361578286e-38[/C][C]2.24356723156571e-38[/C][C]1[/C][/ROW]
[ROW][C]66[/C][C]3.25885840659694e-39[/C][C]6.51771681319388e-39[/C][C]1[/C][/ROW]
[ROW][C]67[/C][C]1.65254384757046e-39[/C][C]3.30508769514092e-39[/C][C]1[/C][/ROW]
[ROW][C]68[/C][C]2.62533300529952e-40[/C][C]5.25066601059905e-40[/C][C]1[/C][/ROW]
[ROW][C]69[/C][C]6.49200573954495e-40[/C][C]1.29840114790899e-39[/C][C]1[/C][/ROW]
[ROW][C]70[/C][C]3.46046276727921e-40[/C][C]6.92092553455842e-40[/C][C]1[/C][/ROW]
[ROW][C]71[/C][C]7.99303329468196e-41[/C][C]1.59860665893639e-40[/C][C]1[/C][/ROW]
[ROW][C]72[/C][C]2.68273515265671e-41[/C][C]5.36547030531341e-41[/C][C]1[/C][/ROW]
[ROW][C]73[/C][C]2.16654492918619e-41[/C][C]4.33308985837237e-41[/C][C]1[/C][/ROW]
[ROW][C]74[/C][C]3.47005831757358e-42[/C][C]6.94011663514716e-42[/C][C]1[/C][/ROW]
[ROW][C]75[/C][C]5.50005223711358e-43[/C][C]1.10001044742272e-42[/C][C]1[/C][/ROW]
[ROW][C]76[/C][C]9.00389887773292e-44[/C][C]1.80077977554658e-43[/C][C]1[/C][/ROW]
[ROW][C]77[/C][C]1.6763695645254e-44[/C][C]3.3527391290508e-44[/C][C]1[/C][/ROW]
[ROW][C]78[/C][C]9.16958515513351e-45[/C][C]1.8339170310267e-44[/C][C]1[/C][/ROW]
[ROW][C]79[/C][C]1.44276671397738e-45[/C][C]2.88553342795477e-45[/C][C]1[/C][/ROW]
[ROW][C]80[/C][C]2.27936232202071e-46[/C][C]4.55872464404142e-46[/C][C]1[/C][/ROW]
[ROW][C]81[/C][C]3.46161652833645e-47[/C][C]6.92323305667289e-47[/C][C]1[/C][/ROW]
[ROW][C]82[/C][C]5.83048672894446e-48[/C][C]1.16609734578889e-47[/C][C]1[/C][/ROW]
[ROW][C]83[/C][C]1.05623908967961e-48[/C][C]2.11247817935921e-48[/C][C]1[/C][/ROW]
[ROW][C]84[/C][C]1.60645716812003e-49[/C][C]3.21291433624005e-49[/C][C]1[/C][/ROW]
[ROW][C]85[/C][C]2.59137686658671e-50[/C][C]5.18275373317342e-50[/C][C]1[/C][/ROW]
[ROW][C]86[/C][C]6.79757930647294e-51[/C][C]1.35951586129459e-50[/C][C]1[/C][/ROW]
[ROW][C]87[/C][C]1.01981954971758e-51[/C][C]2.03963909943516e-51[/C][C]1[/C][/ROW]
[ROW][C]88[/C][C]1.52133620905298e-52[/C][C]3.04267241810596e-52[/C][C]1[/C][/ROW]
[ROW][C]89[/C][C]1.04005006105347e-52[/C][C]2.08010012210694e-52[/C][C]1[/C][/ROW]
[ROW][C]90[/C][C]4.12673649573921e-53[/C][C]8.25347299147843e-53[/C][C]1[/C][/ROW]
[ROW][C]91[/C][C]1.21418079891376e-53[/C][C]2.42836159782753e-53[/C][C]1[/C][/ROW]
[ROW][C]92[/C][C]2.41094725804226e-54[/C][C]4.82189451608453e-54[/C][C]1[/C][/ROW]
[ROW][C]93[/C][C]6.85384942924669e-55[/C][C]1.37076988584934e-54[/C][C]1[/C][/ROW]
[ROW][C]94[/C][C]1.32044181665498e-55[/C][C]2.64088363330996e-55[/C][C]1[/C][/ROW]
[ROW][C]95[/C][C]3.07788309530613e-56[/C][C]6.15576619061226e-56[/C][C]1[/C][/ROW]
[ROW][C]96[/C][C]4.57654714425372e-57[/C][C]9.15309428850743e-57[/C][C]1[/C][/ROW]
[ROW][C]97[/C][C]6.98914016728054e-58[/C][C]1.39782803345611e-57[/C][C]1[/C][/ROW]
[ROW][C]98[/C][C]1.20814999539224e-58[/C][C]2.41629999078447e-58[/C][C]1[/C][/ROW]
[ROW][C]99[/C][C]2.08268113824076e-59[/C][C]4.16536227648153e-59[/C][C]1[/C][/ROW]
[ROW][C]100[/C][C]3.18250951592062e-60[/C][C]6.36501903184125e-60[/C][C]1[/C][/ROW]
[ROW][C]101[/C][C]5.30701376089121e-61[/C][C]1.06140275217824e-60[/C][C]1[/C][/ROW]
[ROW][C]102[/C][C]9.23916021057746e-62[/C][C]1.84783204211549e-61[/C][C]1[/C][/ROW]
[ROW][C]103[/C][C]1.51270807377503e-62[/C][C]3.02541614755007e-62[/C][C]1[/C][/ROW]
[ROW][C]104[/C][C]2.77918979975399e-63[/C][C]5.55837959950798e-63[/C][C]1[/C][/ROW]
[ROW][C]105[/C][C]4.6392191542037e-64[/C][C]9.2784383084074e-64[/C][C]1[/C][/ROW]
[ROW][C]106[/C][C]8.75545723748423e-65[/C][C]1.75109144749685e-64[/C][C]1[/C][/ROW]
[ROW][C]107[/C][C]1.55987797294168e-65[/C][C]3.11975594588335e-65[/C][C]1[/C][/ROW]
[ROW][C]108[/C][C]2.82885556202556e-66[/C][C]5.65771112405112e-66[/C][C]1[/C][/ROW]
[ROW][C]109[/C][C]4.50067323190964e-67[/C][C]9.00134646381929e-67[/C][C]1[/C][/ROW]
[ROW][C]110[/C][C]6.67279962961993e-68[/C][C]1.33455992592399e-67[/C][C]1[/C][/ROW]
[ROW][C]111[/C][C]9.36721698895626e-68[/C][C]1.87344339779125e-67[/C][C]1[/C][/ROW]
[ROW][C]112[/C][C]1.73423042181339e-66[/C][C]3.46846084362678e-66[/C][C]1[/C][/ROW]
[ROW][C]113[/C][C]3.13757769831942e-64[/C][C]6.27515539663884e-64[/C][C]1[/C][/ROW]
[ROW][C]114[/C][C]1.00994748350402e-63[/C][C]2.01989496700804e-63[/C][C]1[/C][/ROW]
[ROW][C]115[/C][C]8.01677127213865e-63[/C][C]1.60335425442773e-62[/C][C]1[/C][/ROW]
[ROW][C]116[/C][C]1.39978653215068e-62[/C][C]2.79957306430137e-62[/C][C]1[/C][/ROW]
[ROW][C]117[/C][C]7.7131141285193e-63[/C][C]1.54262282570386e-62[/C][C]1[/C][/ROW]
[ROW][C]118[/C][C]2.25249875582364e-62[/C][C]4.50499751164727e-62[/C][C]1[/C][/ROW]
[ROW][C]119[/C][C]8.47998307474646e-63[/C][C]1.69599661494929e-62[/C][C]1[/C][/ROW]
[ROW][C]120[/C][C]3.51839470534687e-63[/C][C]7.03678941069374e-63[/C][C]1[/C][/ROW]
[ROW][C]121[/C][C]5.86497544353082e-64[/C][C]1.17299508870616e-63[/C][C]1[/C][/ROW]
[ROW][C]122[/C][C]1.70551633862692e-64[/C][C]3.41103267725384e-64[/C][C]1[/C][/ROW]
[ROW][C]123[/C][C]4.77594956614671e-65[/C][C]9.55189913229343e-65[/C][C]1[/C][/ROW]
[ROW][C]124[/C][C]7.37055746266168e-66[/C][C]1.47411149253234e-65[/C][C]1[/C][/ROW]
[ROW][C]125[/C][C]1.28954802685317e-66[/C][C]2.57909605370634e-66[/C][C]1[/C][/ROW]
[ROW][C]126[/C][C]2.7340153848999e-67[/C][C]5.46803076979979e-67[/C][C]1[/C][/ROW]
[ROW][C]127[/C][C]4.32261668086853e-68[/C][C]8.64523336173707e-68[/C][C]1[/C][/ROW]
[ROW][C]128[/C][C]7.86000111092268e-69[/C][C]1.57200022218454e-68[/C][C]1[/C][/ROW]
[ROW][C]129[/C][C]1.17989747568198e-69[/C][C]2.35979495136395e-69[/C][C]1[/C][/ROW]
[ROW][C]130[/C][C]1.76882429024142e-70[/C][C]3.53764858048285e-70[/C][C]1[/C][/ROW]
[ROW][C]131[/C][C]3.20005145199244e-71[/C][C]6.40010290398487e-71[/C][C]1[/C][/ROW]
[ROW][C]132[/C][C]6.51282997731988e-72[/C][C]1.30256599546398e-71[/C][C]1[/C][/ROW]
[ROW][C]133[/C][C]1.36573784151793e-69[/C][C]2.73147568303585e-69[/C][C]1[/C][/ROW]
[ROW][C]134[/C][C]1.15711200529982e-66[/C][C]2.31422401059964e-66[/C][C]1[/C][/ROW]
[ROW][C]135[/C][C]4.24016959007014e-61[/C][C]8.48033918014027e-61[/C][C]1[/C][/ROW]
[ROW][C]136[/C][C]1.09380500349666e-60[/C][C]2.18761000699332e-60[/C][C]1[/C][/ROW]
[ROW][C]137[/C][C]6.27982972970238e-59[/C][C]1.25596594594048e-58[/C][C]1[/C][/ROW]
[ROW][C]138[/C][C]1.28967546301768e-58[/C][C]2.57935092603536e-58[/C][C]1[/C][/ROW]
[ROW][C]139[/C][C]7.03397023202987e-58[/C][C]1.40679404640597e-57[/C][C]1[/C][/ROW]
[ROW][C]140[/C][C]2.40126403676407e-57[/C][C]4.80252807352814e-57[/C][C]1[/C][/ROW]
[ROW][C]141[/C][C]3.46925483693194e-57[/C][C]6.93850967386389e-57[/C][C]1[/C][/ROW]
[ROW][C]142[/C][C]2.48616995269136e-56[/C][C]4.97233990538271e-56[/C][C]1[/C][/ROW]
[ROW][C]143[/C][C]4.04417643015487e-55[/C][C]8.08835286030974e-55[/C][C]1[/C][/ROW]
[ROW][C]144[/C][C]4.76706065364231e-55[/C][C]9.53412130728463e-55[/C][C]1[/C][/ROW]
[ROW][C]145[/C][C]1.85764108146043e-54[/C][C]3.71528216292085e-54[/C][C]1[/C][/ROW]
[ROW][C]146[/C][C]1.4033655440919e-53[/C][C]2.8067310881838e-53[/C][C]1[/C][/ROW]
[ROW][C]147[/C][C]4.04024392736889e-54[/C][C]8.08048785473779e-54[/C][C]1[/C][/ROW]
[ROW][C]148[/C][C]2.55063690115316e-54[/C][C]5.10127380230633e-54[/C][C]1[/C][/ROW]
[ROW][C]149[/C][C]1.01000243881642e-54[/C][C]2.02000487763284e-54[/C][C]1[/C][/ROW]
[ROW][C]150[/C][C]5.51209177605541e-55[/C][C]1.10241835521108e-54[/C][C]1[/C][/ROW]
[ROW][C]151[/C][C]4.99517093023529e-55[/C][C]9.99034186047059e-55[/C][C]1[/C][/ROW]
[ROW][C]152[/C][C]1.36423540078093e-54[/C][C]2.72847080156186e-54[/C][C]1[/C][/ROW]
[ROW][C]153[/C][C]5.85079277803731e-55[/C][C]1.17015855560746e-54[/C][C]1[/C][/ROW]
[ROW][C]154[/C][C]2.77944611364552e-55[/C][C]5.55889222729104e-55[/C][C]1[/C][/ROW]
[ROW][C]155[/C][C]4.30234276586247e-44[/C][C]8.60468553172493e-44[/C][C]1[/C][/ROW]
[ROW][C]156[/C][C]5.18617577955114e-36[/C][C]1.03723515591023e-35[/C][C]1[/C][/ROW]
[ROW][C]157[/C][C]4.99030188412474e-29[/C][C]9.98060376824947e-29[/C][C]1[/C][/ROW]
[ROW][C]158[/C][C]4.27497423219391e-22[/C][C]8.54994846438782e-22[/C][C]1[/C][/ROW]
[ROW][C]159[/C][C]6.13419950813903e-18[/C][C]1.22683990162781e-17[/C][C]1[/C][/ROW]
[ROW][C]160[/C][C]1.66297084722108e-15[/C][C]3.32594169444216e-15[/C][C]0.999999999999998[/C][/ROW]
[ROW][C]161[/C][C]1.50414466236323e-12[/C][C]3.00828932472647e-12[/C][C]0.999999999998496[/C][/ROW]
[ROW][C]162[/C][C]1.06022172883248e-09[/C][C]2.12044345766497e-09[/C][C]0.999999998939778[/C][/ROW]
[ROW][C]163[/C][C]6.09310524833023e-07[/C][C]1.21862104966605e-06[/C][C]0.999999390689475[/C][/ROW]
[ROW][C]164[/C][C]9.53926055254191e-05[/C][C]0.000190785211050838[/C][C]0.999904607394475[/C][/ROW]
[ROW][C]165[/C][C]0.0257603616741623[/C][C]0.0515207233483246[/C][C]0.974239638325838[/C][/ROW]
[ROW][C]166[/C][C]0.726055846542098[/C][C]0.547888306915804[/C][C]0.273944153457902[/C][/ROW]
[ROW][C]167[/C][C]0.742887575701309[/C][C]0.514224848597382[/C][C]0.257112424298691[/C][/ROW]
[ROW][C]168[/C][C]0.999986188237149[/C][C]2.76235257029563e-05[/C][C]1.38117628514782e-05[/C][/ROW]
[ROW][C]169[/C][C]0.999997951537111[/C][C]4.0969257785435e-06[/C][C]2.04846288927175e-06[/C][/ROW]
[ROW][C]170[/C][C]0.999998753204879[/C][C]2.49359024275764e-06[/C][C]1.24679512137882e-06[/C][/ROW]
[ROW][C]171[/C][C]0.999998748039444[/C][C]2.50392111286314e-06[/C][C]1.25196055643157e-06[/C][/ROW]
[ROW][C]172[/C][C]0.999998526930302[/C][C]2.94613939550976e-06[/C][C]1.47306969775488e-06[/C][/ROW]
[ROW][C]173[/C][C]0.999998326999771[/C][C]3.34600045774508e-06[/C][C]1.67300022887254e-06[/C][/ROW]
[ROW][C]174[/C][C]0.99999771562974[/C][C]4.56874052048917e-06[/C][C]2.28437026024459e-06[/C][/ROW]
[ROW][C]175[/C][C]0.999996651716958[/C][C]6.69656608370893e-06[/C][C]3.34828304185447e-06[/C][/ROW]
[ROW][C]176[/C][C]0.99999556978676[/C][C]8.86042647908382e-06[/C][C]4.43021323954191e-06[/C][/ROW]
[ROW][C]177[/C][C]0.999996345952886[/C][C]7.30809422724279e-06[/C][C]3.65404711362139e-06[/C][/ROW]
[ROW][C]178[/C][C]0.999997464439186[/C][C]5.07112162763872e-06[/C][C]2.53556081381936e-06[/C][/ROW]
[ROW][C]179[/C][C]0.999996722974154[/C][C]6.55405169242751e-06[/C][C]3.27702584621376e-06[/C][/ROW]
[ROW][C]180[/C][C]0.999995959167936[/C][C]8.08166412769879e-06[/C][C]4.04083206384939e-06[/C][/ROW]
[ROW][C]181[/C][C]0.99999572192072[/C][C]8.55615856099976e-06[/C][C]4.27807928049988e-06[/C][/ROW]
[ROW][C]182[/C][C]0.999995365213116[/C][C]9.26957376841034e-06[/C][C]4.63478688420517e-06[/C][/ROW]
[ROW][C]183[/C][C]0.999993997996201[/C][C]1.20040075973731e-05[/C][C]6.00200379868656e-06[/C][/ROW]
[ROW][C]184[/C][C]0.999991852179077[/C][C]1.62956418452737e-05[/C][C]8.14782092263685e-06[/C][/ROW]
[ROW][C]185[/C][C]0.999989478754797[/C][C]2.10424904067219e-05[/C][C]1.0521245203361e-05[/C][/ROW]
[ROW][C]186[/C][C]0.999984889970591[/C][C]3.02200588188943e-05[/C][C]1.51100294094471e-05[/C][/ROW]
[ROW][C]187[/C][C]0.999983916994015[/C][C]3.21660119691721e-05[/C][C]1.60830059845861e-05[/C][/ROW]
[ROW][C]188[/C][C]0.999978273747105[/C][C]4.34525057894481e-05[/C][C]2.1726252894724e-05[/C][/ROW]
[ROW][C]189[/C][C]0.99996981868442[/C][C]6.03626311599653e-05[/C][C]3.01813155799827e-05[/C][/ROW]
[ROW][C]190[/C][C]0.999983118526994[/C][C]3.37629460122719e-05[/C][C]1.68814730061359e-05[/C][/ROW]
[ROW][C]191[/C][C]0.999999028287623[/C][C]1.94342475314223e-06[/C][C]9.71712376571114e-07[/C][/ROW]
[ROW][C]192[/C][C]1[/C][C]8.35298636751148e-22[/C][C]4.17649318375574e-22[/C][/ROW]
[ROW][C]193[/C][C]1[/C][C]8.74253604355525e-22[/C][C]4.37126802177763e-22[/C][/ROW]
[ROW][C]194[/C][C]1[/C][C]1.79013520135507e-21[/C][C]8.95067600677535e-22[/C][/ROW]
[ROW][C]195[/C][C]1[/C][C]1.02665131484552e-21[/C][C]5.13325657422758e-22[/C][/ROW]
[ROW][C]196[/C][C]1[/C][C]1.65471729456131e-24[/C][C]8.27358647280656e-25[/C][/ROW]
[ROW][C]197[/C][C]1[/C][C]4.88383856155078e-24[/C][C]2.44191928077539e-24[/C][/ROW]
[ROW][C]198[/C][C]1[/C][C]3.87601023392009e-24[/C][C]1.93800511696005e-24[/C][/ROW]
[ROW][C]199[/C][C]1[/C][C]7.72554699472093e-25[/C][C]3.86277349736047e-25[/C][/ROW]
[ROW][C]200[/C][C]1[/C][C]1.99900261133679e-38[/C][C]9.99501305668396e-39[/C][/ROW]
[ROW][C]201[/C][C]1[/C][C]1.92814099797525e-39[/C][C]9.64070498987626e-40[/C][/ROW]
[ROW][C]202[/C][C]1[/C][C]7.19267475979377e-41[/C][C]3.59633737989688e-41[/C][/ROW]
[ROW][C]203[/C][C]1[/C][C]4.94165473819526e-40[/C][C]2.47082736909763e-40[/C][/ROW]
[ROW][C]204[/C][C]1[/C][C]3.86809730261077e-39[/C][C]1.93404865130539e-39[/C][/ROW]
[ROW][C]205[/C][C]1[/C][C]3.08213387247813e-38[/C][C]1.54106693623906e-38[/C][/ROW]
[ROW][C]206[/C][C]1[/C][C]2.25687460315496e-37[/C][C]1.12843730157748e-37[/C][/ROW]
[ROW][C]207[/C][C]1[/C][C]1.61331874847756e-36[/C][C]8.0665937423878e-37[/C][/ROW]
[ROW][C]208[/C][C]1[/C][C]1.25531778794871e-35[/C][C]6.27658893974356e-36[/C][/ROW]
[ROW][C]209[/C][C]1[/C][C]9.42250404740069e-35[/C][C]4.71125202370035e-35[/C][/ROW]
[ROW][C]210[/C][C]1[/C][C]6.76044315108373e-34[/C][C]3.38022157554187e-34[/C][/ROW]
[ROW][C]211[/C][C]1[/C][C]4.89661646701539e-33[/C][C]2.44830823350769e-33[/C][/ROW]
[ROW][C]212[/C][C]1[/C][C]2.48741724805647e-32[/C][C]1.24370862402823e-32[/C][/ROW]
[ROW][C]213[/C][C]1[/C][C]1.37866023116094e-31[/C][C]6.89330115580472e-32[/C][/ROW]
[ROW][C]214[/C][C]1[/C][C]1.01058402391273e-30[/C][C]5.05292011956367e-31[/C][/ROW]
[ROW][C]215[/C][C]1[/C][C]5.72027204831865e-30[/C][C]2.86013602415932e-30[/C][/ROW]
[ROW][C]216[/C][C]1[/C][C]3.98538768803406e-29[/C][C]1.99269384401703e-29[/C][/ROW]
[ROW][C]217[/C][C]1[/C][C]2.82247152907967e-28[/C][C]1.41123576453983e-28[/C][/ROW]
[ROW][C]218[/C][C]1[/C][C]1.962232073443e-27[/C][C]9.81116036721499e-28[/C][/ROW]
[ROW][C]219[/C][C]1[/C][C]1.32962353673762e-26[/C][C]6.64811768368812e-27[/C][/ROW]
[ROW][C]220[/C][C]1[/C][C]9.15398080868926e-26[/C][C]4.57699040434463e-26[/C][/ROW]
[ROW][C]221[/C][C]1[/C][C]6.18989441500776e-25[/C][C]3.09494720750388e-25[/C][/ROW]
[ROW][C]222[/C][C]1[/C][C]4.14303061145926e-24[/C][C]2.07151530572963e-24[/C][/ROW]
[ROW][C]223[/C][C]1[/C][C]2.45865230930023e-23[/C][C]1.22932615465011e-23[/C][/ROW]
[ROW][C]224[/C][C]1[/C][C]1.56981223081385e-22[/C][C]7.84906115406925e-23[/C][/ROW]
[ROW][C]225[/C][C]1[/C][C]9.81191056494488e-22[/C][C]4.90595528247244e-22[/C][/ROW]
[ROW][C]226[/C][C]1[/C][C]1.95582040483153e-21[/C][C]9.77910202415766e-22[/C][/ROW]
[ROW][C]227[/C][C]1[/C][C]1.26966655165444e-20[/C][C]6.34833275827221e-21[/C][/ROW]
[ROW][C]228[/C][C]1[/C][C]2.94837287283681e-21[/C][C]1.4741864364184e-21[/C][/ROW]
[ROW][C]229[/C][C]1[/C][C]3.29464883839839e-22[/C][C]1.64732441919919e-22[/C][/ROW]
[ROW][C]230[/C][C]1[/C][C]3.09278517820126e-22[/C][C]1.54639258910063e-22[/C][/ROW]
[ROW][C]231[/C][C]1[/C][C]1.3608593675892e-22[/C][C]6.80429683794601e-23[/C][/ROW]
[ROW][C]232[/C][C]1[/C][C]6.11472992984175e-23[/C][C]3.05736496492087e-23[/C][/ROW]
[ROW][C]233[/C][C]1[/C][C]5.63692162375491e-22[/C][C]2.81846081187746e-22[/C][/ROW]
[ROW][C]234[/C][C]1[/C][C]2.50133553719091e-21[/C][C]1.25066776859545e-21[/C][/ROW]
[ROW][C]235[/C][C]1[/C][C]1.90094892564113e-20[/C][C]9.50474462820566e-21[/C][/ROW]
[ROW][C]236[/C][C]1[/C][C]1.86220871442971e-19[/C][C]9.31104357214853e-20[/C][/ROW]
[ROW][C]237[/C][C]1[/C][C]6.94890541585025e-19[/C][C]3.47445270792513e-19[/C][/ROW]
[ROW][C]238[/C][C]1[/C][C]1.3114550599906e-18[/C][C]6.55727529995301e-19[/C][/ROW]
[ROW][C]239[/C][C]1[/C][C]2.91834132025747e-20[/C][C]1.45917066012874e-20[/C][/ROW]
[ROW][C]240[/C][C]1[/C][C]2.74851669222686e-19[/C][C]1.37425834611343e-19[/C][/ROW]
[ROW][C]241[/C][C]1[/C][C]1.76764490412568e-18[/C][C]8.83822452062839e-19[/C][/ROW]
[ROW][C]242[/C][C]1[/C][C]3.3674703800095e-18[/C][C]1.68373519000475e-18[/C][/ROW]
[ROW][C]243[/C][C]1[/C][C]2.59631459415245e-18[/C][C]1.29815729707622e-18[/C][/ROW]
[ROW][C]244[/C][C]1[/C][C]3.82010999900554e-17[/C][C]1.91005499950277e-17[/C][/ROW]
[ROW][C]245[/C][C]1[/C][C]4.49424265861363e-16[/C][C]2.24712132930681e-16[/C][/ROW]
[ROW][C]246[/C][C]0.999999999999996[/C][C]7.36373352104641e-15[/C][C]3.68186676052321e-15[/C][/ROW]
[ROW][C]247[/C][C]0.999999999999996[/C][C]7.37597466256629e-15[/C][C]3.68798733128315e-15[/C][/ROW]
[ROW][C]248[/C][C]0.999999999999933[/C][C]1.34138277429657e-13[/C][C]6.70691387148284e-14[/C][/ROW]
[ROW][C]249[/C][C]0.999999999998777[/C][C]2.44630173417629e-12[/C][C]1.22315086708815e-12[/C][/ROW]
[ROW][C]250[/C][C]0.999999999998224[/C][C]3.5516564304891e-12[/C][C]1.77582821524455e-12[/C][/ROW]
[ROW][C]251[/C][C]0.999999999982405[/C][C]3.51906466450365e-11[/C][C]1.75953233225182e-11[/C][/ROW]
[ROW][C]252[/C][C]0.999999999760114[/C][C]4.797726045436e-10[/C][C]2.398863022718e-10[/C][/ROW]
[ROW][C]253[/C][C]0.999999999165177[/C][C]1.66964650797372e-09[/C][C]8.3482325398686e-10[/C][/ROW]
[ROW][C]254[/C][C]0.999999978012353[/C][C]4.39752941846053e-08[/C][C]2.19876470923026e-08[/C][/ROW]
[ROW][C]255[/C][C]0.999999623131406[/C][C]7.53737188418533e-07[/C][C]3.76868594209267e-07[/C][/ROW]
[ROW][C]256[/C][C]0.999990812095929[/C][C]1.8375808141255e-05[/C][C]9.18790407062752e-06[/C][/ROW]
[ROW][C]257[/C][C]0.999808698629016[/C][C]0.000382602741968642[/C][C]0.000191301370984321[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146756&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146756&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.000507599072890270.001015198145780540.99949240092711
84.18090189485778e-058.36180378971556e-050.999958190981051
92.42102190153447e-064.84204380306893e-060.999997578978098
103.13357957426617e-076.26715914853234e-070.999999686642043
111.68898169628791e-073.37796339257582e-070.99999983110183
121.44169415173244e-082.88338830346489e-080.999999985583058
131.02545349866999e-092.05090699733997e-090.999999998974547
141.08291940163362e-102.16583880326723e-100.999999999891708
158.05732562737585e-121.61146512547517e-110.999999999991943
165.30886373045901e-131.0617727460918e-120.999999999999469
173.54338085669693e-147.08676171339387e-140.999999999999965
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Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2480.98804780876494NOK
5% type I error level2480.98804780876494NOK
10% type I error level2490.99203187250996NOK

\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 & 248 & 0.98804780876494 & NOK \tabularnewline
5% type I error level & 248 & 0.98804780876494 & NOK \tabularnewline
10% type I error level & 249 & 0.99203187250996 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146756&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]248[/C][C]0.98804780876494[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]248[/C][C]0.98804780876494[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]249[/C][C]0.99203187250996[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146756&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146756&T=6

As an alternative you can also use a QR Code:  
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The GUIDs for individual cells are displayed in the table below:

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2480.98804780876494NOK
5% type I error level2480.98804780876494NOK
10% type I error level2490.99203187250996NOK


Figures (Output of Computation)

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Figure 10
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Input Parameters & R Code

Parameters (Session):
par1 = 4 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 4 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
R code (references can be found in the software module):
library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, mysum$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')
}