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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 computationTue, 16 Dec 2014 21:39:08 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/16/t1418765978n3m9wztber2j52c.htm/, Retrieved Thu, 16 May 2024 14:30:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=269954, Retrieved Thu, 16 May 2024 14:30:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact60

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [CONSOFT VS RFC Stats] [2014-12-16 21:39:08] [3bdd9332f2b4587684e97c4d9c2e2a73] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
149	96	68	86	12
139	70	39	70	8
148	88	32	71	11
158	114	62	108	13
128	69	33	64	11
224	176	52	119	10
159	114	62	97	7
105	121	77	129	10
159	110	76	153	15
167	158	41	78	12
165	116	48	80	12
159	181	63	99	10
119	77	30	68	10
176	141	78	147	14
54	35	19	40	6
91	80	31	57	12
163	152	66	120	14
124	97	35	71	11
137	99	42	84	8
121	84	45	68	12
153	68	21	55	15
148	101	25	137	13
221	107	44	79	11
188	88	69	116	12
149	112	54	101	7
244	171	74	111	11
148	137	80	189	7
92	77	42	66	12
150	66	61	81	12
153	93	41	63	13
94	105	46	69	9
156	131	39	71	11
132	102	34	64	12
161	161	51	143	15
105	120	42	85	12
97	127	31	86	6
151	77	39	55	5
131	108	20	69	13
166	85	49	120	11
157	168	53	96	6
111	48	31	60	12
145	152	39	95	10
162	75	54	100	6
163	107	49	68	12
59	62	34	57	11
187	121	46	105	6
109	124	55	85	12
90	72	42	103	12
105	40	50	57	8
83	58	13	51	10
116	97	37	69	11
42	88	25	41	7
148	126	30	49	12
155	104	28	50	13
125	148	45	93	14
116	146	35	58	12
128	80	28	54	6
138	97	41	74	14
49	25	6	15	10
96	99	45	69	12
164	118	73	107	11
162	58	17	65	10
99	63	40	58	7
202	139	64	107	12
186	50	37	70	7
66	60	25	53	12
183	152	65	136	12
214	142	100	126	10
188	94	28	95	10
104	66	35	69	12
177	127	56	136	12
126	67	29	58	12
76	90	43	59	8
99	75	59	118	10
139	128	50	82	5
78	41	3	50	10
162	146	59	102	10
108	69	27	65	12
159	186	61	90	11
74	81	28	64	9
110	85	51	83	12
96	54	35	70	11
116	46	29	50	10
87	106	48	77	12
97	34	25	37	10
127	60	44	81	9
106	95	64	101	11
80	57	32	79	12
74	62	20	71	7
91	36	28	60	11
133	56	34	55	12
74	54	31	44	6
114	64	26	40	9
140	76	58	56	15
95	98	23	43	10
98	88	21	45	11
121	35	21	32	12
126	102	33	56	12
98	61	16	40	12
95	80	20	34	11
110	49	37	89	9
70	78	35	50	11
102	90	33	56	12
86	45	27	46	12
130	55	41	76	14
96	96	40	64	8
102	43	35	74	10
100	52	28	57	9
94	60	32	45	10
52	54	22	30	9
98	51	44	62	10
118	51	27	51	12
99	38	17	36	11
48	41	12	34	9
50	146	45	61	11
150	182	37	70	12
154	192	37	69	12
109	263	108	145	7
68	35	10	23	12
194	439	68	120	12
158	214	72	147	12
159	341	143	215	10
67	58	9	24	15
147	292	55	84	10
39	85	17	30	15
100	200	37	77	10
111	158	27	46	15
138	199	37	61	9
101	297	58	178	15
131	227	66	160	12
101	108	21	57	13
114	86	19	42	12
165	302	78	163	12
114	148	35	75	8
111	178	48	94	9
75	120	27	45	15
82	207	43	78	12
121	157	30	47	12
32	128	25	29	15
150	296	69	97	11
117	323	72	116	12
71	79	23	32	6
165	70	13	50	14
154	146	61	118	12
126	246	43	66	12
149	196	51	86	12
145	199	67	89	11
120	127	36	76	12
109	153	44	75	12
132	299	45	57	12
172	228	34	72	12
169	190	36	60	8
114	180	72	109	8
156	212	39	76	12
172	269	43	65	12
68	130	25	40	11
89	179	56	58	10
167	243	80	123	11
113	190	40	71	12
115	299	73	102	13
78	121	34	80	12
118	137	72	97	12
87	305	42	46	10
173	157	61	93	10
2	96	23	19	11
162	183	74	140	8
49	52	16	78	12
122	238	66	98	9
96	40	9	40	12
100	226	41	80	9
82	190	57	76	11
100	214	48	79	15
115	145	51	87	8
141	119	53	95	8
165	222	29	49	11
165	222	29	49	11
110	159	55	80	11
118	165	54	86	13
158	249	43	69	7
146	125	51	79	12
49	122	20	52	8
90	186	79	120	8
121	148	39	69	4
155	274	61	94	11
104	172	55	72	10
147	84	30	43	7
110	168	55	87	12
108	102	22	52	11
113	106	37	71	9
115	2	2	61	10
61	139	38	51	8
60	95	27	50	8
109	130	56	67	11
68	72	25	30	12
111	141	39	70	10
77	113	33	52	10
73	206	43	75	12
151	268	57	87	8
89	175	43	69	11
78	77	23	72	8
110	125	44	79	10
220	255	54	121	14
65	111	28	43	9
141	132	36	58	9
117	211	39	57	10
122	92	16	50	13
63	76	23	69	12
44	171	40	64	13
52	83	24	38	8
131	266	78	90	3
101	186	57	96	8
42	50	37	49	12
152	117	27	56	11
107	219	61	102	9
77	246	27	40	12
154	279	69	100	12
103	148	34	67	12
96	137	44	78	10
175	181	34	55	13
57	98	39	59	9
112	226	51	96	12
143	234	34	86	11
49	138	31	38	14
110	85	13	43	11
131	66	12	23	9
167	236	51	77	12
56	106	24	48	8
137	135	19	26	15
86	122	30	91	12
121	218	81	94	14
149	199	42	62	12
168	112	22	74	9
140	278	85	114	9
88	94	27	52	13
168	113	25	64	13
94	84	22	31	15
51	86	19	38	11
48	62	14	27	7
145	222	45	105	10
66	167	45	64	11
85	82	28	62	14
109	207	51	65	14
63	184	41	58	13
102	83	31	76	12
162	183	74	140	8
86	89	19	68	13
114	225	51	80	9
164	237	73	71	12
119	102	24	76	13
126	221	61	63	11
132	128	23	46	11
142	91	14	53	13
83	198	54	74	12
94	204	51	70	12
81	158	62	78	10
166	138	36	56	9
110	226	59	100	10
64	44	24	51	13
93	196	26	52	13
104	83	54	102	9
105	79	39	78	11
49	52	16	78	12
88	105	36	55	8
95	116	31	98	12
102	83	31	76	12
99	196	42	73	12
63	153	39	47	9
76	157	25	45	12
109	75	31	83	12
117	106	38	60	11
57	58	31	48	12
120	75	17	50	6
73	74	22	56	7
91	185	55	77	10
108	265	62	91	12
105	131	51	76	10
117	139	30	68	12
119	196	49	74	9
31	78	16	29	3

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 9 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269954&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]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269954&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269954&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 time9 seconds
R Server'George Udny Yule' @ yule.wessa.net






Multiple Linear Regression - Estimated Regression Equation
CONSSOFT[t] = + 10.276 + 0.00378534LFM[t] + 0.00510074B[t] -0.0331705CH[t] + 0.00966067H[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
CONSSOFT[t] =  +  10.276 +  0.00378534LFM[t] +  0.00510074B[t] -0.0331705CH[t] +  0.00966067H[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269954&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]CONSSOFT[t] =  +  10.276 +  0.00378534LFM[t] +  0.00510074B[t] -0.0331705CH[t] +  0.00966067H[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269954&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269954&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
CONSSOFT[t] = + 10.276 + 0.00378534LFM[t] + 0.00510074B[t] -0.0331705CH[t] + 0.00966067H[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)10.2760.45207422.735.24046e-652.62023e-65
LFM0.003785340.00401180.94360.3462290.173115
B0.005100740.002430092.0990.03673260.0183663
CH-0.03317050.013128-2.5270.01207740.00603872
H0.009660670.007836271.2330.2187020.109351

\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) & 10.276 & 0.452074 & 22.73 & 5.24046e-65 & 2.62023e-65 \tabularnewline
LFM & 0.00378534 & 0.0040118 & 0.9436 & 0.346229 & 0.173115 \tabularnewline
B & 0.00510074 & 0.00243009 & 2.099 & 0.0367326 & 0.0183663 \tabularnewline
CH & -0.0331705 & 0.013128 & -2.527 & 0.0120774 & 0.00603872 \tabularnewline
H & 0.00966067 & 0.00783627 & 1.233 & 0.218702 & 0.109351 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269954&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]10.276[/C][C]0.452074[/C][C]22.73[/C][C]5.24046e-65[/C][C]2.62023e-65[/C][/ROW]
[ROW][C]LFM[/C][C]0.00378534[/C][C]0.0040118[/C][C]0.9436[/C][C]0.346229[/C][C]0.173115[/C][/ROW]
[ROW][C]B[/C][C]0.00510074[/C][C]0.00243009[/C][C]2.099[/C][C]0.0367326[/C][C]0.0183663[/C][/ROW]
[ROW][C]CH[/C][C]-0.0331705[/C][C]0.013128[/C][C]-2.527[/C][C]0.0120774[/C][C]0.00603872[/C][/ROW]
[ROW][C]H[/C][C]0.00966067[/C][C]0.00783627[/C][C]1.233[/C][C]0.218702[/C][C]0.109351[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269954&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269954&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)10.2760.45207422.735.24046e-652.62023e-65
LFM0.003785340.00401180.94360.3462290.173115
B0.005100740.002430092.0990.03673260.0183663
CH-0.03317050.013128-2.5270.01207740.00603872
H0.009660670.007836271.2330.2187020.109351






Multiple Linear Regression - Regression Statistics
Multiple R0.175953
R-squared0.0309593
Adjusted R-squared0.0168128
F-TEST (value)2.18847
F-TEST (DF numerator)4
F-TEST (DF denominator)274
p-value0.0705187
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.26446
Sum Squared Residuals1405.01

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.175953 \tabularnewline
R-squared & 0.0309593 \tabularnewline
Adjusted R-squared & 0.0168128 \tabularnewline
F-TEST (value) & 2.18847 \tabularnewline
F-TEST (DF numerator) & 4 \tabularnewline
F-TEST (DF denominator) & 274 \tabularnewline
p-value & 0.0705187 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.26446 \tabularnewline
Sum Squared Residuals & 1405.01 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269954&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.175953[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0309593[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.0168128[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]2.18847[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]4[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]274[/C][/ROW]
[ROW][C]p-value[/C][C]0.0705187[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.26446[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1405.01[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269954&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269954&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 R0.175953
R-squared0.0309593
Adjusted R-squared0.0168128
F-TEST (value)2.18847
F-TEST (DF numerator)4
F-TEST (DF denominator)274
p-value0.0705187
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.26446
Sum Squared Residuals1405.01






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1129.90492.0951
2810.5418-2.5418
31110.90950.0904672
41310.44232.55767
51110.63610.363883
61011.4464-1.44639
7710.3399-3.33985
8109.982730.0172673
91510.39614.60394
101211.10760.892404
111210.67291.32708
121010.6678-0.667753
131010.781-0.781009
141410.49423.50577
15610.4151-4.41511
161210.55091.44912
171410.63833.36166
181110.76510.23492
19810.7179-2.71789
201210.32671.67327
211511.03673.96325
221311.84561.15436
231110.9620.0379839
241210.26841.73163
25710.5958-3.5958
261110.68960.310448
27710.7072-3.70724
281210.26141.73856
29129.939552.06045
301310.57812.42186
31910.3081-1.30813
321110.9270.0730462
331210.78641.21359
341511.39643.60358
351210.71351.28647
36611.0935-5.09349
37510.478-5.47802
381311.32591.67408
391110.87180.128159
40610.8966-4.8966
411210.49231.50765
421011.2243-1.22429
43610.4466-4.44663
441210.47031.52965
451110.23840.761573
46611.0896-5.08956
471210.31791.68214
481210.58581.41419
4989.76961-1.76961
501010.9475-0.94749
511110.64910.350866
52710.4507-3.45066
531210.95721.04283
541310.94752.05255
551410.90983.09017
561210.85911.14086
57610.7615-4.76147
581410.6483.35197
591010.5349-0.534873
601210.31831.68174
611110.11090.889087
621011.2491-1.2491
63710.2056-3.20558
641210.66041.33959
65710.684-3.68403
661210.51461.48538
671210.90181.09822
68109.710550.289453
691011.4561-1.45609
701210.51191.48807
711211.05010.949912
721210.69311.30694
73810.1664-2.16639
741010.2162-0.216189
75510.5887-5.58869
761011.1639-1.16389
771010.6622-0.662247
781210.76911.23091
791110.67270.327348
80910.6588-1.65877
811210.23611.76392
821110.43010.569903
831010.4708-0.470808
841210.29771.70232
851010.3448-0.344771
86910.3858-1.38578
871110.01460.985383
881210.57131.42871
89710.8948-3.89484
901110.45490.545056
911210.46861.53138
92610.2283-4.22832
93910.558-1.55796
94159.81075.1893
951010.788-0.787953
961110.8340.166036
971210.52511.4749
981210.71961.28041
991210.81381.18621
1001110.70870.291295
101910.5748-1.5748
1021110.26090.739117
1031210.56751.43247
1041210.37981.62015
1051410.42283.57716
106810.4205-2.42051
1071010.4353-0.435344
108910.5416-1.54164
1091010.3111-0.311126
110910.3083-1.30833
1111010.0465-0.0465459
1121210.57991.42012
1131110.62840.371552
114910.5972-1.59723
1151110.30660.693411
1161211.22110.77894
1171211.27750.722452
11879.84846-2.84846
1191210.60241.39759
1201212.1533-0.153253
1211210.99751.00253
122109.950870.0491325
1231510.75884.24123
1241011.309-1.30897
1251510.58314.4169
1261011.1912-1.19123
1271511.05093.94914
128911.1754-2.1754
1291511.96893.03107
1301211.28620.713813
1311311.06331.93674
1321210.92171.07831
1331211.42840.57162
134811.026-3.02601
135910.92-1.92001
1361510.71114.2889
1371210.96941.03056
1381210.99381.00624
1391510.50094.49909
1401111.0019-0.0019258
1411211.09880.901229
142610.4939-4.49392
1431411.30942.69056
1441210.72021.27981
1451211.2190.781007
1461210.97891.02113
1471110.47730.522717
1481210.91811.08191
1491210.7341.26595
1501211.35880.641242
1511211.65780.342195
152811.2704-3.27035
153810.2904-2.29038
1541211.38840.611583
1551211.50080.499224
1561110.75360.246351
1571010.2287-0.228684
1581110.68220.317761
1591211.0320.968043
1601310.80042.19964
1611210.83351.16651
162129.970272.02973
1631011.2123-1.21227
1641010.6067-0.606707
1651110.19390.806142
166810.7205-2.72052
1671210.94951.05049
168910.7093-1.70927
1691210.93131.0687
170911.2201-2.22015
1711110.3990.600984
1721510.91714.08291
173810.5997-2.59969
174810.5764-2.57643
1751111.5444-0.54436
1761111.5444-0.54436
1771110.45190.548134
1781310.60392.39611
179711.3844-4.38441
1801210.53771.46227
181810.9227-2.9227
182810.1042-2.10421
183410.8619-6.86186
1841111.145-0.145018
1851010.4182-0.418179
186710.6812-3.68119
1871210.56541.4346
1881110.97770.0223181
189910.703-1.70301
1901011.2445-1.24446
191810.4481-2.44811
192810.5751-2.57511
1931110.14140.8586
1941210.36121.6388
1951010.798-0.79796
1961010.5516-0.551569
1971210.90131.09871
198811.1643-3.16433
1991110.74580.254235
200810.8966-2.89665
2011010.6337-0.633656
2021411.78722.21282
203910.5748-1.57485
204910.8492-1.8492
2051011.0521-1.05214
2061311.15941.84063
2071210.80581.19422
2081310.60622.39377
209810.4672-2.4672
210310.4108-7.41082
211810.6437-2.64375
212129.936072.06393
2131111.0935-0.0935383
214910.7601-1.76007
2151211.31310.686938
2161210.95931.04066
2171210.94031.05975
2181010.6322-0.63221
2191311.26521.73481
220910.268-1.26795
2211211.08840.911561
2221111.7139-0.713883
2231410.50423.49581
2241111.1101-0.110129
225910.9327-1.93266
2261211.16410.835912
227810.6963-2.69626
2281511.10413.89588
2291211.10780.892179
2301410.06733.93274
2311211.06080.939151
232911.4683-2.46834
233910.5058-1.50576
2341310.69532.30468
2351311.27731.72267
2361510.634.37
2371110.64460.355432
238710.5704-3.57038
2391011.4789-1.47892
2401110.50330.496748
2411410.68623.31381
2421410.68073.31931
2431310.65332.34667
2441210.79141.20862
245810.7205-2.72052
2461311.08221.91782
247910.9363-1.93634
2481210.37011.62988
2491311.18481.81516
2501110.46540.534577
2511111.11-0.110015
2521311.32531.6747
2531210.52381.4762
2541210.65691.34309
2551010.0855-0.0854757
256910.9551-1.95511
2571010.8541-0.854147
2581310.43932.56072
2591311.26771.73231
260910.2872-1.2872
2611110.53630.463713
2621210.94951.05049
263810.4819-2.48187
2641211.14570.854261
2651210.79141.20862
2661210.96251.03745
267910.4553-1.45528
2681210.971.03004
2691210.84471.15531
2701110.57870.42129
2711210.2231.77698
272611.0319-5.03192
273710.741-3.74102
2741010.4836-0.483582
2751210.8591.14095
2761010.3842-0.384158
2771211.08970.910316
278910.8157-1.81572
279310.5406-7.54062

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 12 & 9.9049 & 2.0951 \tabularnewline
2 & 8 & 10.5418 & -2.5418 \tabularnewline
3 & 11 & 10.9095 & 0.0904672 \tabularnewline
4 & 13 & 10.4423 & 2.55767 \tabularnewline
5 & 11 & 10.6361 & 0.363883 \tabularnewline
6 & 10 & 11.4464 & -1.44639 \tabularnewline
7 & 7 & 10.3399 & -3.33985 \tabularnewline
8 & 10 & 9.98273 & 0.0172673 \tabularnewline
9 & 15 & 10.3961 & 4.60394 \tabularnewline
10 & 12 & 11.1076 & 0.892404 \tabularnewline
11 & 12 & 10.6729 & 1.32708 \tabularnewline
12 & 10 & 10.6678 & -0.667753 \tabularnewline
13 & 10 & 10.781 & -0.781009 \tabularnewline
14 & 14 & 10.4942 & 3.50577 \tabularnewline
15 & 6 & 10.4151 & -4.41511 \tabularnewline
16 & 12 & 10.5509 & 1.44912 \tabularnewline
17 & 14 & 10.6383 & 3.36166 \tabularnewline
18 & 11 & 10.7651 & 0.23492 \tabularnewline
19 & 8 & 10.7179 & -2.71789 \tabularnewline
20 & 12 & 10.3267 & 1.67327 \tabularnewline
21 & 15 & 11.0367 & 3.96325 \tabularnewline
22 & 13 & 11.8456 & 1.15436 \tabularnewline
23 & 11 & 10.962 & 0.0379839 \tabularnewline
24 & 12 & 10.2684 & 1.73163 \tabularnewline
25 & 7 & 10.5958 & -3.5958 \tabularnewline
26 & 11 & 10.6896 & 0.310448 \tabularnewline
27 & 7 & 10.7072 & -3.70724 \tabularnewline
28 & 12 & 10.2614 & 1.73856 \tabularnewline
29 & 12 & 9.93955 & 2.06045 \tabularnewline
30 & 13 & 10.5781 & 2.42186 \tabularnewline
31 & 9 & 10.3081 & -1.30813 \tabularnewline
32 & 11 & 10.927 & 0.0730462 \tabularnewline
33 & 12 & 10.7864 & 1.21359 \tabularnewline
34 & 15 & 11.3964 & 3.60358 \tabularnewline
35 & 12 & 10.7135 & 1.28647 \tabularnewline
36 & 6 & 11.0935 & -5.09349 \tabularnewline
37 & 5 & 10.478 & -5.47802 \tabularnewline
38 & 13 & 11.3259 & 1.67408 \tabularnewline
39 & 11 & 10.8718 & 0.128159 \tabularnewline
40 & 6 & 10.8966 & -4.8966 \tabularnewline
41 & 12 & 10.4923 & 1.50765 \tabularnewline
42 & 10 & 11.2243 & -1.22429 \tabularnewline
43 & 6 & 10.4466 & -4.44663 \tabularnewline
44 & 12 & 10.4703 & 1.52965 \tabularnewline
45 & 11 & 10.2384 & 0.761573 \tabularnewline
46 & 6 & 11.0896 & -5.08956 \tabularnewline
47 & 12 & 10.3179 & 1.68214 \tabularnewline
48 & 12 & 10.5858 & 1.41419 \tabularnewline
49 & 8 & 9.76961 & -1.76961 \tabularnewline
50 & 10 & 10.9475 & -0.94749 \tabularnewline
51 & 11 & 10.6491 & 0.350866 \tabularnewline
52 & 7 & 10.4507 & -3.45066 \tabularnewline
53 & 12 & 10.9572 & 1.04283 \tabularnewline
54 & 13 & 10.9475 & 2.05255 \tabularnewline
55 & 14 & 10.9098 & 3.09017 \tabularnewline
56 & 12 & 10.8591 & 1.14086 \tabularnewline
57 & 6 & 10.7615 & -4.76147 \tabularnewline
58 & 14 & 10.648 & 3.35197 \tabularnewline
59 & 10 & 10.5349 & -0.534873 \tabularnewline
60 & 12 & 10.3183 & 1.68174 \tabularnewline
61 & 11 & 10.1109 & 0.889087 \tabularnewline
62 & 10 & 11.2491 & -1.2491 \tabularnewline
63 & 7 & 10.2056 & -3.20558 \tabularnewline
64 & 12 & 10.6604 & 1.33959 \tabularnewline
65 & 7 & 10.684 & -3.68403 \tabularnewline
66 & 12 & 10.5146 & 1.48538 \tabularnewline
67 & 12 & 10.9018 & 1.09822 \tabularnewline
68 & 10 & 9.71055 & 0.289453 \tabularnewline
69 & 10 & 11.4561 & -1.45609 \tabularnewline
70 & 12 & 10.5119 & 1.48807 \tabularnewline
71 & 12 & 11.0501 & 0.949912 \tabularnewline
72 & 12 & 10.6931 & 1.30694 \tabularnewline
73 & 8 & 10.1664 & -2.16639 \tabularnewline
74 & 10 & 10.2162 & -0.216189 \tabularnewline
75 & 5 & 10.5887 & -5.58869 \tabularnewline
76 & 10 & 11.1639 & -1.16389 \tabularnewline
77 & 10 & 10.6622 & -0.662247 \tabularnewline
78 & 12 & 10.7691 & 1.23091 \tabularnewline
79 & 11 & 10.6727 & 0.327348 \tabularnewline
80 & 9 & 10.6588 & -1.65877 \tabularnewline
81 & 12 & 10.2361 & 1.76392 \tabularnewline
82 & 11 & 10.4301 & 0.569903 \tabularnewline
83 & 10 & 10.4708 & -0.470808 \tabularnewline
84 & 12 & 10.2977 & 1.70232 \tabularnewline
85 & 10 & 10.3448 & -0.344771 \tabularnewline
86 & 9 & 10.3858 & -1.38578 \tabularnewline
87 & 11 & 10.0146 & 0.985383 \tabularnewline
88 & 12 & 10.5713 & 1.42871 \tabularnewline
89 & 7 & 10.8948 & -3.89484 \tabularnewline
90 & 11 & 10.4549 & 0.545056 \tabularnewline
91 & 12 & 10.4686 & 1.53138 \tabularnewline
92 & 6 & 10.2283 & -4.22832 \tabularnewline
93 & 9 & 10.558 & -1.55796 \tabularnewline
94 & 15 & 9.8107 & 5.1893 \tabularnewline
95 & 10 & 10.788 & -0.787953 \tabularnewline
96 & 11 & 10.834 & 0.166036 \tabularnewline
97 & 12 & 10.5251 & 1.4749 \tabularnewline
98 & 12 & 10.7196 & 1.28041 \tabularnewline
99 & 12 & 10.8138 & 1.18621 \tabularnewline
100 & 11 & 10.7087 & 0.291295 \tabularnewline
101 & 9 & 10.5748 & -1.5748 \tabularnewline
102 & 11 & 10.2609 & 0.739117 \tabularnewline
103 & 12 & 10.5675 & 1.43247 \tabularnewline
104 & 12 & 10.3798 & 1.62015 \tabularnewline
105 & 14 & 10.4228 & 3.57716 \tabularnewline
106 & 8 & 10.4205 & -2.42051 \tabularnewline
107 & 10 & 10.4353 & -0.435344 \tabularnewline
108 & 9 & 10.5416 & -1.54164 \tabularnewline
109 & 10 & 10.3111 & -0.311126 \tabularnewline
110 & 9 & 10.3083 & -1.30833 \tabularnewline
111 & 10 & 10.0465 & -0.0465459 \tabularnewline
112 & 12 & 10.5799 & 1.42012 \tabularnewline
113 & 11 & 10.6284 & 0.371552 \tabularnewline
114 & 9 & 10.5972 & -1.59723 \tabularnewline
115 & 11 & 10.3066 & 0.693411 \tabularnewline
116 & 12 & 11.2211 & 0.77894 \tabularnewline
117 & 12 & 11.2775 & 0.722452 \tabularnewline
118 & 7 & 9.84846 & -2.84846 \tabularnewline
119 & 12 & 10.6024 & 1.39759 \tabularnewline
120 & 12 & 12.1533 & -0.153253 \tabularnewline
121 & 12 & 10.9975 & 1.00253 \tabularnewline
122 & 10 & 9.95087 & 0.0491325 \tabularnewline
123 & 15 & 10.7588 & 4.24123 \tabularnewline
124 & 10 & 11.309 & -1.30897 \tabularnewline
125 & 15 & 10.5831 & 4.4169 \tabularnewline
126 & 10 & 11.1912 & -1.19123 \tabularnewline
127 & 15 & 11.0509 & 3.94914 \tabularnewline
128 & 9 & 11.1754 & -2.1754 \tabularnewline
129 & 15 & 11.9689 & 3.03107 \tabularnewline
130 & 12 & 11.2862 & 0.713813 \tabularnewline
131 & 13 & 11.0633 & 1.93674 \tabularnewline
132 & 12 & 10.9217 & 1.07831 \tabularnewline
133 & 12 & 11.4284 & 0.57162 \tabularnewline
134 & 8 & 11.026 & -3.02601 \tabularnewline
135 & 9 & 10.92 & -1.92001 \tabularnewline
136 & 15 & 10.7111 & 4.2889 \tabularnewline
137 & 12 & 10.9694 & 1.03056 \tabularnewline
138 & 12 & 10.9938 & 1.00624 \tabularnewline
139 & 15 & 10.5009 & 4.49909 \tabularnewline
140 & 11 & 11.0019 & -0.0019258 \tabularnewline
141 & 12 & 11.0988 & 0.901229 \tabularnewline
142 & 6 & 10.4939 & -4.49392 \tabularnewline
143 & 14 & 11.3094 & 2.69056 \tabularnewline
144 & 12 & 10.7202 & 1.27981 \tabularnewline
145 & 12 & 11.219 & 0.781007 \tabularnewline
146 & 12 & 10.9789 & 1.02113 \tabularnewline
147 & 11 & 10.4773 & 0.522717 \tabularnewline
148 & 12 & 10.9181 & 1.08191 \tabularnewline
149 & 12 & 10.734 & 1.26595 \tabularnewline
150 & 12 & 11.3588 & 0.641242 \tabularnewline
151 & 12 & 11.6578 & 0.342195 \tabularnewline
152 & 8 & 11.2704 & -3.27035 \tabularnewline
153 & 8 & 10.2904 & -2.29038 \tabularnewline
154 & 12 & 11.3884 & 0.611583 \tabularnewline
155 & 12 & 11.5008 & 0.499224 \tabularnewline
156 & 11 & 10.7536 & 0.246351 \tabularnewline
157 & 10 & 10.2287 & -0.228684 \tabularnewline
158 & 11 & 10.6822 & 0.317761 \tabularnewline
159 & 12 & 11.032 & 0.968043 \tabularnewline
160 & 13 & 10.8004 & 2.19964 \tabularnewline
161 & 12 & 10.8335 & 1.16651 \tabularnewline
162 & 12 & 9.97027 & 2.02973 \tabularnewline
163 & 10 & 11.2123 & -1.21227 \tabularnewline
164 & 10 & 10.6067 & -0.606707 \tabularnewline
165 & 11 & 10.1939 & 0.806142 \tabularnewline
166 & 8 & 10.7205 & -2.72052 \tabularnewline
167 & 12 & 10.9495 & 1.05049 \tabularnewline
168 & 9 & 10.7093 & -1.70927 \tabularnewline
169 & 12 & 10.9313 & 1.0687 \tabularnewline
170 & 9 & 11.2201 & -2.22015 \tabularnewline
171 & 11 & 10.399 & 0.600984 \tabularnewline
172 & 15 & 10.9171 & 4.08291 \tabularnewline
173 & 8 & 10.5997 & -2.59969 \tabularnewline
174 & 8 & 10.5764 & -2.57643 \tabularnewline
175 & 11 & 11.5444 & -0.54436 \tabularnewline
176 & 11 & 11.5444 & -0.54436 \tabularnewline
177 & 11 & 10.4519 & 0.548134 \tabularnewline
178 & 13 & 10.6039 & 2.39611 \tabularnewline
179 & 7 & 11.3844 & -4.38441 \tabularnewline
180 & 12 & 10.5377 & 1.46227 \tabularnewline
181 & 8 & 10.9227 & -2.9227 \tabularnewline
182 & 8 & 10.1042 & -2.10421 \tabularnewline
183 & 4 & 10.8619 & -6.86186 \tabularnewline
184 & 11 & 11.145 & -0.145018 \tabularnewline
185 & 10 & 10.4182 & -0.418179 \tabularnewline
186 & 7 & 10.6812 & -3.68119 \tabularnewline
187 & 12 & 10.5654 & 1.4346 \tabularnewline
188 & 11 & 10.9777 & 0.0223181 \tabularnewline
189 & 9 & 10.703 & -1.70301 \tabularnewline
190 & 10 & 11.2445 & -1.24446 \tabularnewline
191 & 8 & 10.4481 & -2.44811 \tabularnewline
192 & 8 & 10.5751 & -2.57511 \tabularnewline
193 & 11 & 10.1414 & 0.8586 \tabularnewline
194 & 12 & 10.3612 & 1.6388 \tabularnewline
195 & 10 & 10.798 & -0.79796 \tabularnewline
196 & 10 & 10.5516 & -0.551569 \tabularnewline
197 & 12 & 10.9013 & 1.09871 \tabularnewline
198 & 8 & 11.1643 & -3.16433 \tabularnewline
199 & 11 & 10.7458 & 0.254235 \tabularnewline
200 & 8 & 10.8966 & -2.89665 \tabularnewline
201 & 10 & 10.6337 & -0.633656 \tabularnewline
202 & 14 & 11.7872 & 2.21282 \tabularnewline
203 & 9 & 10.5748 & -1.57485 \tabularnewline
204 & 9 & 10.8492 & -1.8492 \tabularnewline
205 & 10 & 11.0521 & -1.05214 \tabularnewline
206 & 13 & 11.1594 & 1.84063 \tabularnewline
207 & 12 & 10.8058 & 1.19422 \tabularnewline
208 & 13 & 10.6062 & 2.39377 \tabularnewline
209 & 8 & 10.4672 & -2.4672 \tabularnewline
210 & 3 & 10.4108 & -7.41082 \tabularnewline
211 & 8 & 10.6437 & -2.64375 \tabularnewline
212 & 12 & 9.93607 & 2.06393 \tabularnewline
213 & 11 & 11.0935 & -0.0935383 \tabularnewline
214 & 9 & 10.7601 & -1.76007 \tabularnewline
215 & 12 & 11.3131 & 0.686938 \tabularnewline
216 & 12 & 10.9593 & 1.04066 \tabularnewline
217 & 12 & 10.9403 & 1.05975 \tabularnewline
218 & 10 & 10.6322 & -0.63221 \tabularnewline
219 & 13 & 11.2652 & 1.73481 \tabularnewline
220 & 9 & 10.268 & -1.26795 \tabularnewline
221 & 12 & 11.0884 & 0.911561 \tabularnewline
222 & 11 & 11.7139 & -0.713883 \tabularnewline
223 & 14 & 10.5042 & 3.49581 \tabularnewline
224 & 11 & 11.1101 & -0.110129 \tabularnewline
225 & 9 & 10.9327 & -1.93266 \tabularnewline
226 & 12 & 11.1641 & 0.835912 \tabularnewline
227 & 8 & 10.6963 & -2.69626 \tabularnewline
228 & 15 & 11.1041 & 3.89588 \tabularnewline
229 & 12 & 11.1078 & 0.892179 \tabularnewline
230 & 14 & 10.0673 & 3.93274 \tabularnewline
231 & 12 & 11.0608 & 0.939151 \tabularnewline
232 & 9 & 11.4683 & -2.46834 \tabularnewline
233 & 9 & 10.5058 & -1.50576 \tabularnewline
234 & 13 & 10.6953 & 2.30468 \tabularnewline
235 & 13 & 11.2773 & 1.72267 \tabularnewline
236 & 15 & 10.63 & 4.37 \tabularnewline
237 & 11 & 10.6446 & 0.355432 \tabularnewline
238 & 7 & 10.5704 & -3.57038 \tabularnewline
239 & 10 & 11.4789 & -1.47892 \tabularnewline
240 & 11 & 10.5033 & 0.496748 \tabularnewline
241 & 14 & 10.6862 & 3.31381 \tabularnewline
242 & 14 & 10.6807 & 3.31931 \tabularnewline
243 & 13 & 10.6533 & 2.34667 \tabularnewline
244 & 12 & 10.7914 & 1.20862 \tabularnewline
245 & 8 & 10.7205 & -2.72052 \tabularnewline
246 & 13 & 11.0822 & 1.91782 \tabularnewline
247 & 9 & 10.9363 & -1.93634 \tabularnewline
248 & 12 & 10.3701 & 1.62988 \tabularnewline
249 & 13 & 11.1848 & 1.81516 \tabularnewline
250 & 11 & 10.4654 & 0.534577 \tabularnewline
251 & 11 & 11.11 & -0.110015 \tabularnewline
252 & 13 & 11.3253 & 1.6747 \tabularnewline
253 & 12 & 10.5238 & 1.4762 \tabularnewline
254 & 12 & 10.6569 & 1.34309 \tabularnewline
255 & 10 & 10.0855 & -0.0854757 \tabularnewline
256 & 9 & 10.9551 & -1.95511 \tabularnewline
257 & 10 & 10.8541 & -0.854147 \tabularnewline
258 & 13 & 10.4393 & 2.56072 \tabularnewline
259 & 13 & 11.2677 & 1.73231 \tabularnewline
260 & 9 & 10.2872 & -1.2872 \tabularnewline
261 & 11 & 10.5363 & 0.463713 \tabularnewline
262 & 12 & 10.9495 & 1.05049 \tabularnewline
263 & 8 & 10.4819 & -2.48187 \tabularnewline
264 & 12 & 11.1457 & 0.854261 \tabularnewline
265 & 12 & 10.7914 & 1.20862 \tabularnewline
266 & 12 & 10.9625 & 1.03745 \tabularnewline
267 & 9 & 10.4553 & -1.45528 \tabularnewline
268 & 12 & 10.97 & 1.03004 \tabularnewline
269 & 12 & 10.8447 & 1.15531 \tabularnewline
270 & 11 & 10.5787 & 0.42129 \tabularnewline
271 & 12 & 10.223 & 1.77698 \tabularnewline
272 & 6 & 11.0319 & -5.03192 \tabularnewline
273 & 7 & 10.741 & -3.74102 \tabularnewline
274 & 10 & 10.4836 & -0.483582 \tabularnewline
275 & 12 & 10.859 & 1.14095 \tabularnewline
276 & 10 & 10.3842 & -0.384158 \tabularnewline
277 & 12 & 11.0897 & 0.910316 \tabularnewline
278 & 9 & 10.8157 & -1.81572 \tabularnewline
279 & 3 & 10.5406 & -7.54062 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269954&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]12[/C][C]9.9049[/C][C]2.0951[/C][/ROW]
[ROW][C]2[/C][C]8[/C][C]10.5418[/C][C]-2.5418[/C][/ROW]
[ROW][C]3[/C][C]11[/C][C]10.9095[/C][C]0.0904672[/C][/ROW]
[ROW][C]4[/C][C]13[/C][C]10.4423[/C][C]2.55767[/C][/ROW]
[ROW][C]5[/C][C]11[/C][C]10.6361[/C][C]0.363883[/C][/ROW]
[ROW][C]6[/C][C]10[/C][C]11.4464[/C][C]-1.44639[/C][/ROW]
[ROW][C]7[/C][C]7[/C][C]10.3399[/C][C]-3.33985[/C][/ROW]
[ROW][C]8[/C][C]10[/C][C]9.98273[/C][C]0.0172673[/C][/ROW]
[ROW][C]9[/C][C]15[/C][C]10.3961[/C][C]4.60394[/C][/ROW]
[ROW][C]10[/C][C]12[/C][C]11.1076[/C][C]0.892404[/C][/ROW]
[ROW][C]11[/C][C]12[/C][C]10.6729[/C][C]1.32708[/C][/ROW]
[ROW][C]12[/C][C]10[/C][C]10.6678[/C][C]-0.667753[/C][/ROW]
[ROW][C]13[/C][C]10[/C][C]10.781[/C][C]-0.781009[/C][/ROW]
[ROW][C]14[/C][C]14[/C][C]10.4942[/C][C]3.50577[/C][/ROW]
[ROW][C]15[/C][C]6[/C][C]10.4151[/C][C]-4.41511[/C][/ROW]
[ROW][C]16[/C][C]12[/C][C]10.5509[/C][C]1.44912[/C][/ROW]
[ROW][C]17[/C][C]14[/C][C]10.6383[/C][C]3.36166[/C][/ROW]
[ROW][C]18[/C][C]11[/C][C]10.7651[/C][C]0.23492[/C][/ROW]
[ROW][C]19[/C][C]8[/C][C]10.7179[/C][C]-2.71789[/C][/ROW]
[ROW][C]20[/C][C]12[/C][C]10.3267[/C][C]1.67327[/C][/ROW]
[ROW][C]21[/C][C]15[/C][C]11.0367[/C][C]3.96325[/C][/ROW]
[ROW][C]22[/C][C]13[/C][C]11.8456[/C][C]1.15436[/C][/ROW]
[ROW][C]23[/C][C]11[/C][C]10.962[/C][C]0.0379839[/C][/ROW]
[ROW][C]24[/C][C]12[/C][C]10.2684[/C][C]1.73163[/C][/ROW]
[ROW][C]25[/C][C]7[/C][C]10.5958[/C][C]-3.5958[/C][/ROW]
[ROW][C]26[/C][C]11[/C][C]10.6896[/C][C]0.310448[/C][/ROW]
[ROW][C]27[/C][C]7[/C][C]10.7072[/C][C]-3.70724[/C][/ROW]
[ROW][C]28[/C][C]12[/C][C]10.2614[/C][C]1.73856[/C][/ROW]
[ROW][C]29[/C][C]12[/C][C]9.93955[/C][C]2.06045[/C][/ROW]
[ROW][C]30[/C][C]13[/C][C]10.5781[/C][C]2.42186[/C][/ROW]
[ROW][C]31[/C][C]9[/C][C]10.3081[/C][C]-1.30813[/C][/ROW]
[ROW][C]32[/C][C]11[/C][C]10.927[/C][C]0.0730462[/C][/ROW]
[ROW][C]33[/C][C]12[/C][C]10.7864[/C][C]1.21359[/C][/ROW]
[ROW][C]34[/C][C]15[/C][C]11.3964[/C][C]3.60358[/C][/ROW]
[ROW][C]35[/C][C]12[/C][C]10.7135[/C][C]1.28647[/C][/ROW]
[ROW][C]36[/C][C]6[/C][C]11.0935[/C][C]-5.09349[/C][/ROW]
[ROW][C]37[/C][C]5[/C][C]10.478[/C][C]-5.47802[/C][/ROW]
[ROW][C]38[/C][C]13[/C][C]11.3259[/C][C]1.67408[/C][/ROW]
[ROW][C]39[/C][C]11[/C][C]10.8718[/C][C]0.128159[/C][/ROW]
[ROW][C]40[/C][C]6[/C][C]10.8966[/C][C]-4.8966[/C][/ROW]
[ROW][C]41[/C][C]12[/C][C]10.4923[/C][C]1.50765[/C][/ROW]
[ROW][C]42[/C][C]10[/C][C]11.2243[/C][C]-1.22429[/C][/ROW]
[ROW][C]43[/C][C]6[/C][C]10.4466[/C][C]-4.44663[/C][/ROW]
[ROW][C]44[/C][C]12[/C][C]10.4703[/C][C]1.52965[/C][/ROW]
[ROW][C]45[/C][C]11[/C][C]10.2384[/C][C]0.761573[/C][/ROW]
[ROW][C]46[/C][C]6[/C][C]11.0896[/C][C]-5.08956[/C][/ROW]
[ROW][C]47[/C][C]12[/C][C]10.3179[/C][C]1.68214[/C][/ROW]
[ROW][C]48[/C][C]12[/C][C]10.5858[/C][C]1.41419[/C][/ROW]
[ROW][C]49[/C][C]8[/C][C]9.76961[/C][C]-1.76961[/C][/ROW]
[ROW][C]50[/C][C]10[/C][C]10.9475[/C][C]-0.94749[/C][/ROW]
[ROW][C]51[/C][C]11[/C][C]10.6491[/C][C]0.350866[/C][/ROW]
[ROW][C]52[/C][C]7[/C][C]10.4507[/C][C]-3.45066[/C][/ROW]
[ROW][C]53[/C][C]12[/C][C]10.9572[/C][C]1.04283[/C][/ROW]
[ROW][C]54[/C][C]13[/C][C]10.9475[/C][C]2.05255[/C][/ROW]
[ROW][C]55[/C][C]14[/C][C]10.9098[/C][C]3.09017[/C][/ROW]
[ROW][C]56[/C][C]12[/C][C]10.8591[/C][C]1.14086[/C][/ROW]
[ROW][C]57[/C][C]6[/C][C]10.7615[/C][C]-4.76147[/C][/ROW]
[ROW][C]58[/C][C]14[/C][C]10.648[/C][C]3.35197[/C][/ROW]
[ROW][C]59[/C][C]10[/C][C]10.5349[/C][C]-0.534873[/C][/ROW]
[ROW][C]60[/C][C]12[/C][C]10.3183[/C][C]1.68174[/C][/ROW]
[ROW][C]61[/C][C]11[/C][C]10.1109[/C][C]0.889087[/C][/ROW]
[ROW][C]62[/C][C]10[/C][C]11.2491[/C][C]-1.2491[/C][/ROW]
[ROW][C]63[/C][C]7[/C][C]10.2056[/C][C]-3.20558[/C][/ROW]
[ROW][C]64[/C][C]12[/C][C]10.6604[/C][C]1.33959[/C][/ROW]
[ROW][C]65[/C][C]7[/C][C]10.684[/C][C]-3.68403[/C][/ROW]
[ROW][C]66[/C][C]12[/C][C]10.5146[/C][C]1.48538[/C][/ROW]
[ROW][C]67[/C][C]12[/C][C]10.9018[/C][C]1.09822[/C][/ROW]
[ROW][C]68[/C][C]10[/C][C]9.71055[/C][C]0.289453[/C][/ROW]
[ROW][C]69[/C][C]10[/C][C]11.4561[/C][C]-1.45609[/C][/ROW]
[ROW][C]70[/C][C]12[/C][C]10.5119[/C][C]1.48807[/C][/ROW]
[ROW][C]71[/C][C]12[/C][C]11.0501[/C][C]0.949912[/C][/ROW]
[ROW][C]72[/C][C]12[/C][C]10.6931[/C][C]1.30694[/C][/ROW]
[ROW][C]73[/C][C]8[/C][C]10.1664[/C][C]-2.16639[/C][/ROW]
[ROW][C]74[/C][C]10[/C][C]10.2162[/C][C]-0.216189[/C][/ROW]
[ROW][C]75[/C][C]5[/C][C]10.5887[/C][C]-5.58869[/C][/ROW]
[ROW][C]76[/C][C]10[/C][C]11.1639[/C][C]-1.16389[/C][/ROW]
[ROW][C]77[/C][C]10[/C][C]10.6622[/C][C]-0.662247[/C][/ROW]
[ROW][C]78[/C][C]12[/C][C]10.7691[/C][C]1.23091[/C][/ROW]
[ROW][C]79[/C][C]11[/C][C]10.6727[/C][C]0.327348[/C][/ROW]
[ROW][C]80[/C][C]9[/C][C]10.6588[/C][C]-1.65877[/C][/ROW]
[ROW][C]81[/C][C]12[/C][C]10.2361[/C][C]1.76392[/C][/ROW]
[ROW][C]82[/C][C]11[/C][C]10.4301[/C][C]0.569903[/C][/ROW]
[ROW][C]83[/C][C]10[/C][C]10.4708[/C][C]-0.470808[/C][/ROW]
[ROW][C]84[/C][C]12[/C][C]10.2977[/C][C]1.70232[/C][/ROW]
[ROW][C]85[/C][C]10[/C][C]10.3448[/C][C]-0.344771[/C][/ROW]
[ROW][C]86[/C][C]9[/C][C]10.3858[/C][C]-1.38578[/C][/ROW]
[ROW][C]87[/C][C]11[/C][C]10.0146[/C][C]0.985383[/C][/ROW]
[ROW][C]88[/C][C]12[/C][C]10.5713[/C][C]1.42871[/C][/ROW]
[ROW][C]89[/C][C]7[/C][C]10.8948[/C][C]-3.89484[/C][/ROW]
[ROW][C]90[/C][C]11[/C][C]10.4549[/C][C]0.545056[/C][/ROW]
[ROW][C]91[/C][C]12[/C][C]10.4686[/C][C]1.53138[/C][/ROW]
[ROW][C]92[/C][C]6[/C][C]10.2283[/C][C]-4.22832[/C][/ROW]
[ROW][C]93[/C][C]9[/C][C]10.558[/C][C]-1.55796[/C][/ROW]
[ROW][C]94[/C][C]15[/C][C]9.8107[/C][C]5.1893[/C][/ROW]
[ROW][C]95[/C][C]10[/C][C]10.788[/C][C]-0.787953[/C][/ROW]
[ROW][C]96[/C][C]11[/C][C]10.834[/C][C]0.166036[/C][/ROW]
[ROW][C]97[/C][C]12[/C][C]10.5251[/C][C]1.4749[/C][/ROW]
[ROW][C]98[/C][C]12[/C][C]10.7196[/C][C]1.28041[/C][/ROW]
[ROW][C]99[/C][C]12[/C][C]10.8138[/C][C]1.18621[/C][/ROW]
[ROW][C]100[/C][C]11[/C][C]10.7087[/C][C]0.291295[/C][/ROW]
[ROW][C]101[/C][C]9[/C][C]10.5748[/C][C]-1.5748[/C][/ROW]
[ROW][C]102[/C][C]11[/C][C]10.2609[/C][C]0.739117[/C][/ROW]
[ROW][C]103[/C][C]12[/C][C]10.5675[/C][C]1.43247[/C][/ROW]
[ROW][C]104[/C][C]12[/C][C]10.3798[/C][C]1.62015[/C][/ROW]
[ROW][C]105[/C][C]14[/C][C]10.4228[/C][C]3.57716[/C][/ROW]
[ROW][C]106[/C][C]8[/C][C]10.4205[/C][C]-2.42051[/C][/ROW]
[ROW][C]107[/C][C]10[/C][C]10.4353[/C][C]-0.435344[/C][/ROW]
[ROW][C]108[/C][C]9[/C][C]10.5416[/C][C]-1.54164[/C][/ROW]
[ROW][C]109[/C][C]10[/C][C]10.3111[/C][C]-0.311126[/C][/ROW]
[ROW][C]110[/C][C]9[/C][C]10.3083[/C][C]-1.30833[/C][/ROW]
[ROW][C]111[/C][C]10[/C][C]10.0465[/C][C]-0.0465459[/C][/ROW]
[ROW][C]112[/C][C]12[/C][C]10.5799[/C][C]1.42012[/C][/ROW]
[ROW][C]113[/C][C]11[/C][C]10.6284[/C][C]0.371552[/C][/ROW]
[ROW][C]114[/C][C]9[/C][C]10.5972[/C][C]-1.59723[/C][/ROW]
[ROW][C]115[/C][C]11[/C][C]10.3066[/C][C]0.693411[/C][/ROW]
[ROW][C]116[/C][C]12[/C][C]11.2211[/C][C]0.77894[/C][/ROW]
[ROW][C]117[/C][C]12[/C][C]11.2775[/C][C]0.722452[/C][/ROW]
[ROW][C]118[/C][C]7[/C][C]9.84846[/C][C]-2.84846[/C][/ROW]
[ROW][C]119[/C][C]12[/C][C]10.6024[/C][C]1.39759[/C][/ROW]
[ROW][C]120[/C][C]12[/C][C]12.1533[/C][C]-0.153253[/C][/ROW]
[ROW][C]121[/C][C]12[/C][C]10.9975[/C][C]1.00253[/C][/ROW]
[ROW][C]122[/C][C]10[/C][C]9.95087[/C][C]0.0491325[/C][/ROW]
[ROW][C]123[/C][C]15[/C][C]10.7588[/C][C]4.24123[/C][/ROW]
[ROW][C]124[/C][C]10[/C][C]11.309[/C][C]-1.30897[/C][/ROW]
[ROW][C]125[/C][C]15[/C][C]10.5831[/C][C]4.4169[/C][/ROW]
[ROW][C]126[/C][C]10[/C][C]11.1912[/C][C]-1.19123[/C][/ROW]
[ROW][C]127[/C][C]15[/C][C]11.0509[/C][C]3.94914[/C][/ROW]
[ROW][C]128[/C][C]9[/C][C]11.1754[/C][C]-2.1754[/C][/ROW]
[ROW][C]129[/C][C]15[/C][C]11.9689[/C][C]3.03107[/C][/ROW]
[ROW][C]130[/C][C]12[/C][C]11.2862[/C][C]0.713813[/C][/ROW]
[ROW][C]131[/C][C]13[/C][C]11.0633[/C][C]1.93674[/C][/ROW]
[ROW][C]132[/C][C]12[/C][C]10.9217[/C][C]1.07831[/C][/ROW]
[ROW][C]133[/C][C]12[/C][C]11.4284[/C][C]0.57162[/C][/ROW]
[ROW][C]134[/C][C]8[/C][C]11.026[/C][C]-3.02601[/C][/ROW]
[ROW][C]135[/C][C]9[/C][C]10.92[/C][C]-1.92001[/C][/ROW]
[ROW][C]136[/C][C]15[/C][C]10.7111[/C][C]4.2889[/C][/ROW]
[ROW][C]137[/C][C]12[/C][C]10.9694[/C][C]1.03056[/C][/ROW]
[ROW][C]138[/C][C]12[/C][C]10.9938[/C][C]1.00624[/C][/ROW]
[ROW][C]139[/C][C]15[/C][C]10.5009[/C][C]4.49909[/C][/ROW]
[ROW][C]140[/C][C]11[/C][C]11.0019[/C][C]-0.0019258[/C][/ROW]
[ROW][C]141[/C][C]12[/C][C]11.0988[/C][C]0.901229[/C][/ROW]
[ROW][C]142[/C][C]6[/C][C]10.4939[/C][C]-4.49392[/C][/ROW]
[ROW][C]143[/C][C]14[/C][C]11.3094[/C][C]2.69056[/C][/ROW]
[ROW][C]144[/C][C]12[/C][C]10.7202[/C][C]1.27981[/C][/ROW]
[ROW][C]145[/C][C]12[/C][C]11.219[/C][C]0.781007[/C][/ROW]
[ROW][C]146[/C][C]12[/C][C]10.9789[/C][C]1.02113[/C][/ROW]
[ROW][C]147[/C][C]11[/C][C]10.4773[/C][C]0.522717[/C][/ROW]
[ROW][C]148[/C][C]12[/C][C]10.9181[/C][C]1.08191[/C][/ROW]
[ROW][C]149[/C][C]12[/C][C]10.734[/C][C]1.26595[/C][/ROW]
[ROW][C]150[/C][C]12[/C][C]11.3588[/C][C]0.641242[/C][/ROW]
[ROW][C]151[/C][C]12[/C][C]11.6578[/C][C]0.342195[/C][/ROW]
[ROW][C]152[/C][C]8[/C][C]11.2704[/C][C]-3.27035[/C][/ROW]
[ROW][C]153[/C][C]8[/C][C]10.2904[/C][C]-2.29038[/C][/ROW]
[ROW][C]154[/C][C]12[/C][C]11.3884[/C][C]0.611583[/C][/ROW]
[ROW][C]155[/C][C]12[/C][C]11.5008[/C][C]0.499224[/C][/ROW]
[ROW][C]156[/C][C]11[/C][C]10.7536[/C][C]0.246351[/C][/ROW]
[ROW][C]157[/C][C]10[/C][C]10.2287[/C][C]-0.228684[/C][/ROW]
[ROW][C]158[/C][C]11[/C][C]10.6822[/C][C]0.317761[/C][/ROW]
[ROW][C]159[/C][C]12[/C][C]11.032[/C][C]0.968043[/C][/ROW]
[ROW][C]160[/C][C]13[/C][C]10.8004[/C][C]2.19964[/C][/ROW]
[ROW][C]161[/C][C]12[/C][C]10.8335[/C][C]1.16651[/C][/ROW]
[ROW][C]162[/C][C]12[/C][C]9.97027[/C][C]2.02973[/C][/ROW]
[ROW][C]163[/C][C]10[/C][C]11.2123[/C][C]-1.21227[/C][/ROW]
[ROW][C]164[/C][C]10[/C][C]10.6067[/C][C]-0.606707[/C][/ROW]
[ROW][C]165[/C][C]11[/C][C]10.1939[/C][C]0.806142[/C][/ROW]
[ROW][C]166[/C][C]8[/C][C]10.7205[/C][C]-2.72052[/C][/ROW]
[ROW][C]167[/C][C]12[/C][C]10.9495[/C][C]1.05049[/C][/ROW]
[ROW][C]168[/C][C]9[/C][C]10.7093[/C][C]-1.70927[/C][/ROW]
[ROW][C]169[/C][C]12[/C][C]10.9313[/C][C]1.0687[/C][/ROW]
[ROW][C]170[/C][C]9[/C][C]11.2201[/C][C]-2.22015[/C][/ROW]
[ROW][C]171[/C][C]11[/C][C]10.399[/C][C]0.600984[/C][/ROW]
[ROW][C]172[/C][C]15[/C][C]10.9171[/C][C]4.08291[/C][/ROW]
[ROW][C]173[/C][C]8[/C][C]10.5997[/C][C]-2.59969[/C][/ROW]
[ROW][C]174[/C][C]8[/C][C]10.5764[/C][C]-2.57643[/C][/ROW]
[ROW][C]175[/C][C]11[/C][C]11.5444[/C][C]-0.54436[/C][/ROW]
[ROW][C]176[/C][C]11[/C][C]11.5444[/C][C]-0.54436[/C][/ROW]
[ROW][C]177[/C][C]11[/C][C]10.4519[/C][C]0.548134[/C][/ROW]
[ROW][C]178[/C][C]13[/C][C]10.6039[/C][C]2.39611[/C][/ROW]
[ROW][C]179[/C][C]7[/C][C]11.3844[/C][C]-4.38441[/C][/ROW]
[ROW][C]180[/C][C]12[/C][C]10.5377[/C][C]1.46227[/C][/ROW]
[ROW][C]181[/C][C]8[/C][C]10.9227[/C][C]-2.9227[/C][/ROW]
[ROW][C]182[/C][C]8[/C][C]10.1042[/C][C]-2.10421[/C][/ROW]
[ROW][C]183[/C][C]4[/C][C]10.8619[/C][C]-6.86186[/C][/ROW]
[ROW][C]184[/C][C]11[/C][C]11.145[/C][C]-0.145018[/C][/ROW]
[ROW][C]185[/C][C]10[/C][C]10.4182[/C][C]-0.418179[/C][/ROW]
[ROW][C]186[/C][C]7[/C][C]10.6812[/C][C]-3.68119[/C][/ROW]
[ROW][C]187[/C][C]12[/C][C]10.5654[/C][C]1.4346[/C][/ROW]
[ROW][C]188[/C][C]11[/C][C]10.9777[/C][C]0.0223181[/C][/ROW]
[ROW][C]189[/C][C]9[/C][C]10.703[/C][C]-1.70301[/C][/ROW]
[ROW][C]190[/C][C]10[/C][C]11.2445[/C][C]-1.24446[/C][/ROW]
[ROW][C]191[/C][C]8[/C][C]10.4481[/C][C]-2.44811[/C][/ROW]
[ROW][C]192[/C][C]8[/C][C]10.5751[/C][C]-2.57511[/C][/ROW]
[ROW][C]193[/C][C]11[/C][C]10.1414[/C][C]0.8586[/C][/ROW]
[ROW][C]194[/C][C]12[/C][C]10.3612[/C][C]1.6388[/C][/ROW]
[ROW][C]195[/C][C]10[/C][C]10.798[/C][C]-0.79796[/C][/ROW]
[ROW][C]196[/C][C]10[/C][C]10.5516[/C][C]-0.551569[/C][/ROW]
[ROW][C]197[/C][C]12[/C][C]10.9013[/C][C]1.09871[/C][/ROW]
[ROW][C]198[/C][C]8[/C][C]11.1643[/C][C]-3.16433[/C][/ROW]
[ROW][C]199[/C][C]11[/C][C]10.7458[/C][C]0.254235[/C][/ROW]
[ROW][C]200[/C][C]8[/C][C]10.8966[/C][C]-2.89665[/C][/ROW]
[ROW][C]201[/C][C]10[/C][C]10.6337[/C][C]-0.633656[/C][/ROW]
[ROW][C]202[/C][C]14[/C][C]11.7872[/C][C]2.21282[/C][/ROW]
[ROW][C]203[/C][C]9[/C][C]10.5748[/C][C]-1.57485[/C][/ROW]
[ROW][C]204[/C][C]9[/C][C]10.8492[/C][C]-1.8492[/C][/ROW]
[ROW][C]205[/C][C]10[/C][C]11.0521[/C][C]-1.05214[/C][/ROW]
[ROW][C]206[/C][C]13[/C][C]11.1594[/C][C]1.84063[/C][/ROW]
[ROW][C]207[/C][C]12[/C][C]10.8058[/C][C]1.19422[/C][/ROW]
[ROW][C]208[/C][C]13[/C][C]10.6062[/C][C]2.39377[/C][/ROW]
[ROW][C]209[/C][C]8[/C][C]10.4672[/C][C]-2.4672[/C][/ROW]
[ROW][C]210[/C][C]3[/C][C]10.4108[/C][C]-7.41082[/C][/ROW]
[ROW][C]211[/C][C]8[/C][C]10.6437[/C][C]-2.64375[/C][/ROW]
[ROW][C]212[/C][C]12[/C][C]9.93607[/C][C]2.06393[/C][/ROW]
[ROW][C]213[/C][C]11[/C][C]11.0935[/C][C]-0.0935383[/C][/ROW]
[ROW][C]214[/C][C]9[/C][C]10.7601[/C][C]-1.76007[/C][/ROW]
[ROW][C]215[/C][C]12[/C][C]11.3131[/C][C]0.686938[/C][/ROW]
[ROW][C]216[/C][C]12[/C][C]10.9593[/C][C]1.04066[/C][/ROW]
[ROW][C]217[/C][C]12[/C][C]10.9403[/C][C]1.05975[/C][/ROW]
[ROW][C]218[/C][C]10[/C][C]10.6322[/C][C]-0.63221[/C][/ROW]
[ROW][C]219[/C][C]13[/C][C]11.2652[/C][C]1.73481[/C][/ROW]
[ROW][C]220[/C][C]9[/C][C]10.268[/C][C]-1.26795[/C][/ROW]
[ROW][C]221[/C][C]12[/C][C]11.0884[/C][C]0.911561[/C][/ROW]
[ROW][C]222[/C][C]11[/C][C]11.7139[/C][C]-0.713883[/C][/ROW]
[ROW][C]223[/C][C]14[/C][C]10.5042[/C][C]3.49581[/C][/ROW]
[ROW][C]224[/C][C]11[/C][C]11.1101[/C][C]-0.110129[/C][/ROW]
[ROW][C]225[/C][C]9[/C][C]10.9327[/C][C]-1.93266[/C][/ROW]
[ROW][C]226[/C][C]12[/C][C]11.1641[/C][C]0.835912[/C][/ROW]
[ROW][C]227[/C][C]8[/C][C]10.6963[/C][C]-2.69626[/C][/ROW]
[ROW][C]228[/C][C]15[/C][C]11.1041[/C][C]3.89588[/C][/ROW]
[ROW][C]229[/C][C]12[/C][C]11.1078[/C][C]0.892179[/C][/ROW]
[ROW][C]230[/C][C]14[/C][C]10.0673[/C][C]3.93274[/C][/ROW]
[ROW][C]231[/C][C]12[/C][C]11.0608[/C][C]0.939151[/C][/ROW]
[ROW][C]232[/C][C]9[/C][C]11.4683[/C][C]-2.46834[/C][/ROW]
[ROW][C]233[/C][C]9[/C][C]10.5058[/C][C]-1.50576[/C][/ROW]
[ROW][C]234[/C][C]13[/C][C]10.6953[/C][C]2.30468[/C][/ROW]
[ROW][C]235[/C][C]13[/C][C]11.2773[/C][C]1.72267[/C][/ROW]
[ROW][C]236[/C][C]15[/C][C]10.63[/C][C]4.37[/C][/ROW]
[ROW][C]237[/C][C]11[/C][C]10.6446[/C][C]0.355432[/C][/ROW]
[ROW][C]238[/C][C]7[/C][C]10.5704[/C][C]-3.57038[/C][/ROW]
[ROW][C]239[/C][C]10[/C][C]11.4789[/C][C]-1.47892[/C][/ROW]
[ROW][C]240[/C][C]11[/C][C]10.5033[/C][C]0.496748[/C][/ROW]
[ROW][C]241[/C][C]14[/C][C]10.6862[/C][C]3.31381[/C][/ROW]
[ROW][C]242[/C][C]14[/C][C]10.6807[/C][C]3.31931[/C][/ROW]
[ROW][C]243[/C][C]13[/C][C]10.6533[/C][C]2.34667[/C][/ROW]
[ROW][C]244[/C][C]12[/C][C]10.7914[/C][C]1.20862[/C][/ROW]
[ROW][C]245[/C][C]8[/C][C]10.7205[/C][C]-2.72052[/C][/ROW]
[ROW][C]246[/C][C]13[/C][C]11.0822[/C][C]1.91782[/C][/ROW]
[ROW][C]247[/C][C]9[/C][C]10.9363[/C][C]-1.93634[/C][/ROW]
[ROW][C]248[/C][C]12[/C][C]10.3701[/C][C]1.62988[/C][/ROW]
[ROW][C]249[/C][C]13[/C][C]11.1848[/C][C]1.81516[/C][/ROW]
[ROW][C]250[/C][C]11[/C][C]10.4654[/C][C]0.534577[/C][/ROW]
[ROW][C]251[/C][C]11[/C][C]11.11[/C][C]-0.110015[/C][/ROW]
[ROW][C]252[/C][C]13[/C][C]11.3253[/C][C]1.6747[/C][/ROW]
[ROW][C]253[/C][C]12[/C][C]10.5238[/C][C]1.4762[/C][/ROW]
[ROW][C]254[/C][C]12[/C][C]10.6569[/C][C]1.34309[/C][/ROW]
[ROW][C]255[/C][C]10[/C][C]10.0855[/C][C]-0.0854757[/C][/ROW]
[ROW][C]256[/C][C]9[/C][C]10.9551[/C][C]-1.95511[/C][/ROW]
[ROW][C]257[/C][C]10[/C][C]10.8541[/C][C]-0.854147[/C][/ROW]
[ROW][C]258[/C][C]13[/C][C]10.4393[/C][C]2.56072[/C][/ROW]
[ROW][C]259[/C][C]13[/C][C]11.2677[/C][C]1.73231[/C][/ROW]
[ROW][C]260[/C][C]9[/C][C]10.2872[/C][C]-1.2872[/C][/ROW]
[ROW][C]261[/C][C]11[/C][C]10.5363[/C][C]0.463713[/C][/ROW]
[ROW][C]262[/C][C]12[/C][C]10.9495[/C][C]1.05049[/C][/ROW]
[ROW][C]263[/C][C]8[/C][C]10.4819[/C][C]-2.48187[/C][/ROW]
[ROW][C]264[/C][C]12[/C][C]11.1457[/C][C]0.854261[/C][/ROW]
[ROW][C]265[/C][C]12[/C][C]10.7914[/C][C]1.20862[/C][/ROW]
[ROW][C]266[/C][C]12[/C][C]10.9625[/C][C]1.03745[/C][/ROW]
[ROW][C]267[/C][C]9[/C][C]10.4553[/C][C]-1.45528[/C][/ROW]
[ROW][C]268[/C][C]12[/C][C]10.97[/C][C]1.03004[/C][/ROW]
[ROW][C]269[/C][C]12[/C][C]10.8447[/C][C]1.15531[/C][/ROW]
[ROW][C]270[/C][C]11[/C][C]10.5787[/C][C]0.42129[/C][/ROW]
[ROW][C]271[/C][C]12[/C][C]10.223[/C][C]1.77698[/C][/ROW]
[ROW][C]272[/C][C]6[/C][C]11.0319[/C][C]-5.03192[/C][/ROW]
[ROW][C]273[/C][C]7[/C][C]10.741[/C][C]-3.74102[/C][/ROW]
[ROW][C]274[/C][C]10[/C][C]10.4836[/C][C]-0.483582[/C][/ROW]
[ROW][C]275[/C][C]12[/C][C]10.859[/C][C]1.14095[/C][/ROW]
[ROW][C]276[/C][C]10[/C][C]10.3842[/C][C]-0.384158[/C][/ROW]
[ROW][C]277[/C][C]12[/C][C]11.0897[/C][C]0.910316[/C][/ROW]
[ROW][C]278[/C][C]9[/C][C]10.8157[/C][C]-1.81572[/C][/ROW]
[ROW][C]279[/C][C]3[/C][C]10.5406[/C][C]-7.54062[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269954&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269954&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
1129.90492.0951
2810.5418-2.5418
31110.90950.0904672
41310.44232.55767
51110.63610.363883
61011.4464-1.44639
7710.3399-3.33985
8109.982730.0172673
91510.39614.60394
101211.10760.892404
111210.67291.32708
121010.6678-0.667753
131010.781-0.781009
141410.49423.50577
15610.4151-4.41511
161210.55091.44912
171410.63833.36166
181110.76510.23492
19810.7179-2.71789
201210.32671.67327
211511.03673.96325
221311.84561.15436
231110.9620.0379839
241210.26841.73163
25710.5958-3.5958
261110.68960.310448
27710.7072-3.70724
281210.26141.73856
29129.939552.06045
301310.57812.42186
31910.3081-1.30813
321110.9270.0730462
331210.78641.21359
341511.39643.60358
351210.71351.28647
36611.0935-5.09349
37510.478-5.47802
381311.32591.67408
391110.87180.128159
40610.8966-4.8966
411210.49231.50765
421011.2243-1.22429
43610.4466-4.44663
441210.47031.52965
451110.23840.761573
46611.0896-5.08956
471210.31791.68214
481210.58581.41419
4989.76961-1.76961
501010.9475-0.94749
511110.64910.350866
52710.4507-3.45066
531210.95721.04283
541310.94752.05255
551410.90983.09017
561210.85911.14086
57610.7615-4.76147
581410.6483.35197
591010.5349-0.534873
601210.31831.68174
611110.11090.889087
621011.2491-1.2491
63710.2056-3.20558
641210.66041.33959
65710.684-3.68403
661210.51461.48538
671210.90181.09822
68109.710550.289453
691011.4561-1.45609
701210.51191.48807
711211.05010.949912
721210.69311.30694
73810.1664-2.16639
741010.2162-0.216189
75510.5887-5.58869
761011.1639-1.16389
771010.6622-0.662247
781210.76911.23091
791110.67270.327348
80910.6588-1.65877
811210.23611.76392
821110.43010.569903
831010.4708-0.470808
841210.29771.70232
851010.3448-0.344771
86910.3858-1.38578
871110.01460.985383
881210.57131.42871
89710.8948-3.89484
901110.45490.545056
911210.46861.53138
92610.2283-4.22832
93910.558-1.55796
94159.81075.1893
951010.788-0.787953
961110.8340.166036
971210.52511.4749
981210.71961.28041
991210.81381.18621
1001110.70870.291295
101910.5748-1.5748
1021110.26090.739117
1031210.56751.43247
1041210.37981.62015
1051410.42283.57716
106810.4205-2.42051
1071010.4353-0.435344
108910.5416-1.54164
1091010.3111-0.311126
110910.3083-1.30833
1111010.0465-0.0465459
1121210.57991.42012
1131110.62840.371552
114910.5972-1.59723
1151110.30660.693411
1161211.22110.77894
1171211.27750.722452
11879.84846-2.84846
1191210.60241.39759
1201212.1533-0.153253
1211210.99751.00253
122109.950870.0491325
1231510.75884.24123
1241011.309-1.30897
1251510.58314.4169
1261011.1912-1.19123
1271511.05093.94914
128911.1754-2.1754
1291511.96893.03107
1301211.28620.713813
1311311.06331.93674
1321210.92171.07831
1331211.42840.57162
134811.026-3.02601
135910.92-1.92001
1361510.71114.2889
1371210.96941.03056
1381210.99381.00624
1391510.50094.49909
1401111.0019-0.0019258
1411211.09880.901229
142610.4939-4.49392
1431411.30942.69056
1441210.72021.27981
1451211.2190.781007
1461210.97891.02113
1471110.47730.522717
1481210.91811.08191
1491210.7341.26595
1501211.35880.641242
1511211.65780.342195
152811.2704-3.27035
153810.2904-2.29038
1541211.38840.611583
1551211.50080.499224
1561110.75360.246351
1571010.2287-0.228684
1581110.68220.317761
1591211.0320.968043
1601310.80042.19964
1611210.83351.16651
162129.970272.02973
1631011.2123-1.21227
1641010.6067-0.606707
1651110.19390.806142
166810.7205-2.72052
1671210.94951.05049
168910.7093-1.70927
1691210.93131.0687
170911.2201-2.22015
1711110.3990.600984
1721510.91714.08291
173810.5997-2.59969
174810.5764-2.57643
1751111.5444-0.54436
1761111.5444-0.54436
1771110.45190.548134
1781310.60392.39611
179711.3844-4.38441
1801210.53771.46227
181810.9227-2.9227
182810.1042-2.10421
183410.8619-6.86186
1841111.145-0.145018
1851010.4182-0.418179
186710.6812-3.68119
1871210.56541.4346
1881110.97770.0223181
189910.703-1.70301
1901011.2445-1.24446
191810.4481-2.44811
192810.5751-2.57511
1931110.14140.8586
1941210.36121.6388
1951010.798-0.79796
1961010.5516-0.551569
1971210.90131.09871
198811.1643-3.16433
1991110.74580.254235
200810.8966-2.89665
2011010.6337-0.633656
2021411.78722.21282
203910.5748-1.57485
204910.8492-1.8492
2051011.0521-1.05214
2061311.15941.84063
2071210.80581.19422
2081310.60622.39377
209810.4672-2.4672
210310.4108-7.41082
211810.6437-2.64375
212129.936072.06393
2131111.0935-0.0935383
214910.7601-1.76007
2151211.31310.686938
2161210.95931.04066
2171210.94031.05975
2181010.6322-0.63221
2191311.26521.73481
220910.268-1.26795
2211211.08840.911561
2221111.7139-0.713883
2231410.50423.49581
2241111.1101-0.110129
225910.9327-1.93266
2261211.16410.835912
227810.6963-2.69626
2281511.10413.89588
2291211.10780.892179
2301410.06733.93274
2311211.06080.939151
232911.4683-2.46834
233910.5058-1.50576
2341310.69532.30468
2351311.27731.72267
2361510.634.37
2371110.64460.355432
238710.5704-3.57038
2391011.4789-1.47892
2401110.50330.496748
2411410.68623.31381
2421410.68073.31931
2431310.65332.34667
2441210.79141.20862
245810.7205-2.72052
2461311.08221.91782
247910.9363-1.93634
2481210.37011.62988
2491311.18481.81516
2501110.46540.534577
2511111.11-0.110015
2521311.32531.6747
2531210.52381.4762
2541210.65691.34309
2551010.0855-0.0854757
256910.9551-1.95511
2571010.8541-0.854147
2581310.43932.56072
2591311.26771.73231
260910.2872-1.2872
2611110.53630.463713
2621210.94951.05049
263810.4819-2.48187
2641211.14570.854261
2651210.79141.20862
2661210.96251.03745
267910.4553-1.45528
2681210.971.03004
2691210.84471.15531
2701110.57870.42129
2711210.2231.77698
272611.0319-5.03192
273710.741-3.74102
2741010.4836-0.483582
2751210.8591.14095
2761010.3842-0.384158
2771211.08970.910316
278910.8157-1.81572
279310.5406-7.54062






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.8395630.3208750.160437
90.7380910.5238190.261909
100.8283910.3432190.171609
110.780940.4381190.21906
120.6899350.6201290.310065
130.5930880.8138240.406912
140.5283970.9432060.471603
150.5071440.9857130.492856
160.6038430.7923140.396157
170.5940760.8118490.405924
180.5247650.950470.475235
190.5519980.8960040.448002
200.5398050.9203890.460195
210.720130.559740.27987
220.6593930.6812130.340607
230.6189570.7620870.381043
240.5619710.8760570.438029
250.7082410.5835180.291759
260.6619050.676190.338095
270.835210.3295810.16479
280.8259010.3481980.174099
290.793570.4128610.20643
300.780870.4382590.21913
310.7418370.5163270.258163
320.6938070.6123850.306193
330.6596330.6807350.340367
340.7326360.5347280.267364
350.7064970.5870060.293503
360.8082930.3834140.191707
370.9341890.1316210.0658106
380.930610.138780.0693901
390.914060.171880.0859401
400.9547750.09044990.045225
410.9466060.1067890.0533943
420.9331770.1336450.0668227
430.9728220.05435590.0271779
440.9678270.06434650.0321733
450.9618720.07625650.0381282
460.9856510.02869880.0143494
470.9837840.03243180.0162159
480.9804670.03906560.0195328
490.9788010.04239710.0211985
500.9728190.05436230.0271812
510.9656410.06871720.0343586
520.9679170.06416560.0320828
530.9631640.07367190.0368359
540.9623530.07529350.0376468
550.9700030.05999340.0299967
560.9649210.07015740.0350787
570.9811740.03765250.0188262
580.9856420.02871550.0143577
590.9816360.03672750.0183637
600.9794440.04111210.0205561
610.9742410.05151710.0257586
620.9685480.06290390.0314519
630.9727230.05455340.0272767
640.9672080.06558410.032792
650.974340.05131930.0256596
660.9721640.05567270.0278363
670.9660960.06780860.0339043
680.9588080.08238370.0411919
690.9515510.09689730.0484487
700.9468840.1062320.0531158
710.9370490.1259020.0629511
720.930660.1386810.0693404
730.9284420.1431150.0715577
740.9144590.1710820.0855411
750.9659380.06812320.0340616
760.9590420.08191550.0409577
770.9509990.09800160.0490008
780.945150.10970.0548498
790.9339060.1321890.0660943
800.9259280.1481440.0740719
810.9206440.1587130.0793565
820.9075510.1848970.0924486
830.8912950.2174110.108705
840.8833020.2333960.116698
850.8643170.2713660.135683
860.8496450.3007090.150355
870.8302590.3394820.169741
880.8173650.3652690.182635
890.851660.2966790.14834
900.8325390.3349210.167461
910.82280.35440.1772
920.8662820.2674350.133718
930.8522620.2954750.147738
940.9216690.1566610.0783306
950.9086270.1827460.0913729
960.8942070.2115870.105793
970.8876370.2247270.112363
980.8771390.2457230.122861
990.8668810.2662380.133119
1000.8481330.3037350.151867
1010.8345870.3308270.165413
1020.8147470.3705050.185253
1030.8016790.3966410.198321
1040.7921160.4157690.207884
1050.8309760.3380480.169024
1060.8316690.3366620.168331
1070.8088190.3823620.191181
1080.792890.414220.20711
1090.7668540.4662920.233146
1100.7462720.5074550.253728
1110.717470.5650590.28253
1120.7023010.5953970.297699
1130.6735230.6529540.326477
1140.6543220.6913570.345678
1150.625440.749120.37456
1160.5969820.8060360.403018
1170.566770.8664610.43323
1180.5913590.8172820.408641
1190.5739980.8520030.426002
1200.5404580.9190850.459542
1210.5146530.9706940.485347
1220.4831470.9662940.516853
1230.5762380.8475240.423762
1240.5516540.8966930.448346
1250.6492830.7014340.350717
1260.625280.749440.37472
1270.6896020.6207960.310398
1280.6865740.6268520.313426
1290.7094750.581050.290525
1300.6828890.6342210.317111
1310.6741820.6516370.325818
1320.6498610.7002780.350139
1330.6203930.7592150.379607
1340.6442810.7114380.355719
1350.6338140.7323710.366186
1360.7108970.5782060.289103
1370.6858110.6283770.314189
1380.6600890.6798210.339911
1390.7388390.5223220.261161
1400.7105010.5789980.289499
1410.6834350.6331310.316565
1420.7684110.4631780.231589
1430.7806760.4386480.219324
1440.7656880.4686240.234312
1450.7406550.518690.259345
1460.7184220.5631560.281578
1470.6909990.6180010.309001
1480.6680840.6638320.331916
1490.6465990.7068020.353401
1500.6152150.769570.384785
1510.5829280.8341440.417072
1520.6185110.7629780.381489
1530.6162360.7675280.383764
1540.5854630.8290740.414537
1550.5529860.8940290.447014
1560.5185750.962850.481425
1570.4844740.9689490.515526
1580.4520170.9040340.547983
1590.423930.8478610.57607
1600.4219950.8439910.578005
1610.397890.7957790.60211
1620.3963590.7927190.603641
1630.3775890.7551780.622411
1640.3463470.6926940.653653
1650.3163630.6327260.683637
1660.3197540.6395090.680246
1670.2963210.5926410.703679
1680.2820380.5640750.717962
1690.2599640.5199290.740036
1700.2595440.5190880.740456
1710.2338250.467650.766175
1720.2966180.5932360.703382
1730.3016740.6033490.698326
1740.3051950.6103890.694805
1750.276480.5529590.72352
1760.2491330.4982660.750867
1770.2238290.4476590.776171
1780.2291020.4582030.770898
1790.3100040.6200080.689996
1800.2955160.5910320.704484
1810.3181630.6363270.681837
1820.3057780.6115560.694222
1830.5806040.8387920.419396
1840.5447820.9104360.455218
1850.5089770.9820460.491023
1860.5661950.867610.433805
1870.547110.905780.45289
1880.510240.979520.48976
1890.4918510.9837020.508149
1900.4661310.9322610.533869
1910.4707310.9414630.529269
1920.4812910.9625820.518709
1930.4506120.9012240.549388
1940.430860.8617210.56914
1950.3982730.7965450.601727
1960.3642580.7285160.635742
1970.3369520.6739050.663048
1980.3726850.745370.627315
1990.3373820.6747650.662618
2000.3571280.7142570.642872
2010.323880.6477590.67612
2020.3189570.6379140.681043
2030.303570.607140.69643
2040.2938880.5877770.706112
2050.2711120.5422240.728888
2060.2549710.5099420.745029
2070.232520.465040.76748
2080.234220.4684410.76578
2090.24250.4849990.7575
2100.6198110.7603780.380189
2110.6352260.7295490.364774
2120.6274110.7451790.372589
2130.5888180.8223650.411182
2140.5768780.8462440.423122
2150.5373810.9252390.462619
2160.4990750.998150.500925
2170.4638190.9276370.536181
2180.4258020.8516050.574198
2190.3980470.7960950.601953
2200.3716260.7432520.628374
2210.3358670.6717340.664133
2220.3029970.6059930.697003
2230.3428310.6856620.657169
2240.3035610.6071220.696439
2250.302350.6047010.69765
2260.2660650.5321310.733935
2270.2804340.5608680.719566
2280.3291110.6582210.670889
2290.2957410.5914810.704259
2300.3598280.7196570.640172
2310.3211240.6422470.678876
2320.3380920.6761840.661908
2330.315490.630980.68451
2340.3125540.6251080.687446
2350.2861690.5723390.713831
2360.4201180.8402350.579882
2370.3762810.7525620.623719
2380.4224190.8448390.577581
2390.4177480.8354960.582252
2400.3693930.7387870.630607
2410.4360110.8720230.563989
2420.4866430.9732860.513357
2430.4929030.9858050.507097
2440.4572160.9144310.542784
2450.587910.8241790.41209
2460.5732370.8535260.426763
2470.5929520.8140950.407048
2480.5609830.8780340.439017
2490.5234510.9530990.476549
2500.4737580.9475170.526242
2510.4187240.8374480.581276
2520.4318940.8637880.568106
2530.3911360.7822720.608864
2540.3572690.7145380.642731
2550.2984090.5968190.701591
2560.2494630.4989270.750537
2570.2393470.4786950.760653
2580.3956570.7913140.604343
2590.3988770.7977540.601123
2600.468590.9371790.53141
2610.3900330.7800650.609967
2620.330660.661320.66934
2630.2778020.5556040.722198
2640.2134990.4269980.786501
2650.1655560.3311110.834444
2660.1265550.2531110.873445
2670.08437380.1687480.915626
2680.3232490.6464970.676751
2690.2280890.4561770.771911
2700.173080.346160.82692
2710.7084490.5831010.291551

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
8 & 0.839563 & 0.320875 & 0.160437 \tabularnewline
9 & 0.738091 & 0.523819 & 0.261909 \tabularnewline
10 & 0.828391 & 0.343219 & 0.171609 \tabularnewline
11 & 0.78094 & 0.438119 & 0.21906 \tabularnewline
12 & 0.689935 & 0.620129 & 0.310065 \tabularnewline
13 & 0.593088 & 0.813824 & 0.406912 \tabularnewline
14 & 0.528397 & 0.943206 & 0.471603 \tabularnewline
15 & 0.507144 & 0.985713 & 0.492856 \tabularnewline
16 & 0.603843 & 0.792314 & 0.396157 \tabularnewline
17 & 0.594076 & 0.811849 & 0.405924 \tabularnewline
18 & 0.524765 & 0.95047 & 0.475235 \tabularnewline
19 & 0.551998 & 0.896004 & 0.448002 \tabularnewline
20 & 0.539805 & 0.920389 & 0.460195 \tabularnewline
21 & 0.72013 & 0.55974 & 0.27987 \tabularnewline
22 & 0.659393 & 0.681213 & 0.340607 \tabularnewline
23 & 0.618957 & 0.762087 & 0.381043 \tabularnewline
24 & 0.561971 & 0.876057 & 0.438029 \tabularnewline
25 & 0.708241 & 0.583518 & 0.291759 \tabularnewline
26 & 0.661905 & 0.67619 & 0.338095 \tabularnewline
27 & 0.83521 & 0.329581 & 0.16479 \tabularnewline
28 & 0.825901 & 0.348198 & 0.174099 \tabularnewline
29 & 0.79357 & 0.412861 & 0.20643 \tabularnewline
30 & 0.78087 & 0.438259 & 0.21913 \tabularnewline
31 & 0.741837 & 0.516327 & 0.258163 \tabularnewline
32 & 0.693807 & 0.612385 & 0.306193 \tabularnewline
33 & 0.659633 & 0.680735 & 0.340367 \tabularnewline
34 & 0.732636 & 0.534728 & 0.267364 \tabularnewline
35 & 0.706497 & 0.587006 & 0.293503 \tabularnewline
36 & 0.808293 & 0.383414 & 0.191707 \tabularnewline
37 & 0.934189 & 0.131621 & 0.0658106 \tabularnewline
38 & 0.93061 & 0.13878 & 0.0693901 \tabularnewline
39 & 0.91406 & 0.17188 & 0.0859401 \tabularnewline
40 & 0.954775 & 0.0904499 & 0.045225 \tabularnewline
41 & 0.946606 & 0.106789 & 0.0533943 \tabularnewline
42 & 0.933177 & 0.133645 & 0.0668227 \tabularnewline
43 & 0.972822 & 0.0543559 & 0.0271779 \tabularnewline
44 & 0.967827 & 0.0643465 & 0.0321733 \tabularnewline
45 & 0.961872 & 0.0762565 & 0.0381282 \tabularnewline
46 & 0.985651 & 0.0286988 & 0.0143494 \tabularnewline
47 & 0.983784 & 0.0324318 & 0.0162159 \tabularnewline
48 & 0.980467 & 0.0390656 & 0.0195328 \tabularnewline
49 & 0.978801 & 0.0423971 & 0.0211985 \tabularnewline
50 & 0.972819 & 0.0543623 & 0.0271812 \tabularnewline
51 & 0.965641 & 0.0687172 & 0.0343586 \tabularnewline
52 & 0.967917 & 0.0641656 & 0.0320828 \tabularnewline
53 & 0.963164 & 0.0736719 & 0.0368359 \tabularnewline
54 & 0.962353 & 0.0752935 & 0.0376468 \tabularnewline
55 & 0.970003 & 0.0599934 & 0.0299967 \tabularnewline
56 & 0.964921 & 0.0701574 & 0.0350787 \tabularnewline
57 & 0.981174 & 0.0376525 & 0.0188262 \tabularnewline
58 & 0.985642 & 0.0287155 & 0.0143577 \tabularnewline
59 & 0.981636 & 0.0367275 & 0.0183637 \tabularnewline
60 & 0.979444 & 0.0411121 & 0.0205561 \tabularnewline
61 & 0.974241 & 0.0515171 & 0.0257586 \tabularnewline
62 & 0.968548 & 0.0629039 & 0.0314519 \tabularnewline
63 & 0.972723 & 0.0545534 & 0.0272767 \tabularnewline
64 & 0.967208 & 0.0655841 & 0.032792 \tabularnewline
65 & 0.97434 & 0.0513193 & 0.0256596 \tabularnewline
66 & 0.972164 & 0.0556727 & 0.0278363 \tabularnewline
67 & 0.966096 & 0.0678086 & 0.0339043 \tabularnewline
68 & 0.958808 & 0.0823837 & 0.0411919 \tabularnewline
69 & 0.951551 & 0.0968973 & 0.0484487 \tabularnewline
70 & 0.946884 & 0.106232 & 0.0531158 \tabularnewline
71 & 0.937049 & 0.125902 & 0.0629511 \tabularnewline
72 & 0.93066 & 0.138681 & 0.0693404 \tabularnewline
73 & 0.928442 & 0.143115 & 0.0715577 \tabularnewline
74 & 0.914459 & 0.171082 & 0.0855411 \tabularnewline
75 & 0.965938 & 0.0681232 & 0.0340616 \tabularnewline
76 & 0.959042 & 0.0819155 & 0.0409577 \tabularnewline
77 & 0.950999 & 0.0980016 & 0.0490008 \tabularnewline
78 & 0.94515 & 0.1097 & 0.0548498 \tabularnewline
79 & 0.933906 & 0.132189 & 0.0660943 \tabularnewline
80 & 0.925928 & 0.148144 & 0.0740719 \tabularnewline
81 & 0.920644 & 0.158713 & 0.0793565 \tabularnewline
82 & 0.907551 & 0.184897 & 0.0924486 \tabularnewline
83 & 0.891295 & 0.217411 & 0.108705 \tabularnewline
84 & 0.883302 & 0.233396 & 0.116698 \tabularnewline
85 & 0.864317 & 0.271366 & 0.135683 \tabularnewline
86 & 0.849645 & 0.300709 & 0.150355 \tabularnewline
87 & 0.830259 & 0.339482 & 0.169741 \tabularnewline
88 & 0.817365 & 0.365269 & 0.182635 \tabularnewline
89 & 0.85166 & 0.296679 & 0.14834 \tabularnewline
90 & 0.832539 & 0.334921 & 0.167461 \tabularnewline
91 & 0.8228 & 0.3544 & 0.1772 \tabularnewline
92 & 0.866282 & 0.267435 & 0.133718 \tabularnewline
93 & 0.852262 & 0.295475 & 0.147738 \tabularnewline
94 & 0.921669 & 0.156661 & 0.0783306 \tabularnewline
95 & 0.908627 & 0.182746 & 0.0913729 \tabularnewline
96 & 0.894207 & 0.211587 & 0.105793 \tabularnewline
97 & 0.887637 & 0.224727 & 0.112363 \tabularnewline
98 & 0.877139 & 0.245723 & 0.122861 \tabularnewline
99 & 0.866881 & 0.266238 & 0.133119 \tabularnewline
100 & 0.848133 & 0.303735 & 0.151867 \tabularnewline
101 & 0.834587 & 0.330827 & 0.165413 \tabularnewline
102 & 0.814747 & 0.370505 & 0.185253 \tabularnewline
103 & 0.801679 & 0.396641 & 0.198321 \tabularnewline
104 & 0.792116 & 0.415769 & 0.207884 \tabularnewline
105 & 0.830976 & 0.338048 & 0.169024 \tabularnewline
106 & 0.831669 & 0.336662 & 0.168331 \tabularnewline
107 & 0.808819 & 0.382362 & 0.191181 \tabularnewline
108 & 0.79289 & 0.41422 & 0.20711 \tabularnewline
109 & 0.766854 & 0.466292 & 0.233146 \tabularnewline
110 & 0.746272 & 0.507455 & 0.253728 \tabularnewline
111 & 0.71747 & 0.565059 & 0.28253 \tabularnewline
112 & 0.702301 & 0.595397 & 0.297699 \tabularnewline
113 & 0.673523 & 0.652954 & 0.326477 \tabularnewline
114 & 0.654322 & 0.691357 & 0.345678 \tabularnewline
115 & 0.62544 & 0.74912 & 0.37456 \tabularnewline
116 & 0.596982 & 0.806036 & 0.403018 \tabularnewline
117 & 0.56677 & 0.866461 & 0.43323 \tabularnewline
118 & 0.591359 & 0.817282 & 0.408641 \tabularnewline
119 & 0.573998 & 0.852003 & 0.426002 \tabularnewline
120 & 0.540458 & 0.919085 & 0.459542 \tabularnewline
121 & 0.514653 & 0.970694 & 0.485347 \tabularnewline
122 & 0.483147 & 0.966294 & 0.516853 \tabularnewline
123 & 0.576238 & 0.847524 & 0.423762 \tabularnewline
124 & 0.551654 & 0.896693 & 0.448346 \tabularnewline
125 & 0.649283 & 0.701434 & 0.350717 \tabularnewline
126 & 0.62528 & 0.74944 & 0.37472 \tabularnewline
127 & 0.689602 & 0.620796 & 0.310398 \tabularnewline
128 & 0.686574 & 0.626852 & 0.313426 \tabularnewline
129 & 0.709475 & 0.58105 & 0.290525 \tabularnewline
130 & 0.682889 & 0.634221 & 0.317111 \tabularnewline
131 & 0.674182 & 0.651637 & 0.325818 \tabularnewline
132 & 0.649861 & 0.700278 & 0.350139 \tabularnewline
133 & 0.620393 & 0.759215 & 0.379607 \tabularnewline
134 & 0.644281 & 0.711438 & 0.355719 \tabularnewline
135 & 0.633814 & 0.732371 & 0.366186 \tabularnewline
136 & 0.710897 & 0.578206 & 0.289103 \tabularnewline
137 & 0.685811 & 0.628377 & 0.314189 \tabularnewline
138 & 0.660089 & 0.679821 & 0.339911 \tabularnewline
139 & 0.738839 & 0.522322 & 0.261161 \tabularnewline
140 & 0.710501 & 0.578998 & 0.289499 \tabularnewline
141 & 0.683435 & 0.633131 & 0.316565 \tabularnewline
142 & 0.768411 & 0.463178 & 0.231589 \tabularnewline
143 & 0.780676 & 0.438648 & 0.219324 \tabularnewline
144 & 0.765688 & 0.468624 & 0.234312 \tabularnewline
145 & 0.740655 & 0.51869 & 0.259345 \tabularnewline
146 & 0.718422 & 0.563156 & 0.281578 \tabularnewline
147 & 0.690999 & 0.618001 & 0.309001 \tabularnewline
148 & 0.668084 & 0.663832 & 0.331916 \tabularnewline
149 & 0.646599 & 0.706802 & 0.353401 \tabularnewline
150 & 0.615215 & 0.76957 & 0.384785 \tabularnewline
151 & 0.582928 & 0.834144 & 0.417072 \tabularnewline
152 & 0.618511 & 0.762978 & 0.381489 \tabularnewline
153 & 0.616236 & 0.767528 & 0.383764 \tabularnewline
154 & 0.585463 & 0.829074 & 0.414537 \tabularnewline
155 & 0.552986 & 0.894029 & 0.447014 \tabularnewline
156 & 0.518575 & 0.96285 & 0.481425 \tabularnewline
157 & 0.484474 & 0.968949 & 0.515526 \tabularnewline
158 & 0.452017 & 0.904034 & 0.547983 \tabularnewline
159 & 0.42393 & 0.847861 & 0.57607 \tabularnewline
160 & 0.421995 & 0.843991 & 0.578005 \tabularnewline
161 & 0.39789 & 0.795779 & 0.60211 \tabularnewline
162 & 0.396359 & 0.792719 & 0.603641 \tabularnewline
163 & 0.377589 & 0.755178 & 0.622411 \tabularnewline
164 & 0.346347 & 0.692694 & 0.653653 \tabularnewline
165 & 0.316363 & 0.632726 & 0.683637 \tabularnewline
166 & 0.319754 & 0.639509 & 0.680246 \tabularnewline
167 & 0.296321 & 0.592641 & 0.703679 \tabularnewline
168 & 0.282038 & 0.564075 & 0.717962 \tabularnewline
169 & 0.259964 & 0.519929 & 0.740036 \tabularnewline
170 & 0.259544 & 0.519088 & 0.740456 \tabularnewline
171 & 0.233825 & 0.46765 & 0.766175 \tabularnewline
172 & 0.296618 & 0.593236 & 0.703382 \tabularnewline
173 & 0.301674 & 0.603349 & 0.698326 \tabularnewline
174 & 0.305195 & 0.610389 & 0.694805 \tabularnewline
175 & 0.27648 & 0.552959 & 0.72352 \tabularnewline
176 & 0.249133 & 0.498266 & 0.750867 \tabularnewline
177 & 0.223829 & 0.447659 & 0.776171 \tabularnewline
178 & 0.229102 & 0.458203 & 0.770898 \tabularnewline
179 & 0.310004 & 0.620008 & 0.689996 \tabularnewline
180 & 0.295516 & 0.591032 & 0.704484 \tabularnewline
181 & 0.318163 & 0.636327 & 0.681837 \tabularnewline
182 & 0.305778 & 0.611556 & 0.694222 \tabularnewline
183 & 0.580604 & 0.838792 & 0.419396 \tabularnewline
184 & 0.544782 & 0.910436 & 0.455218 \tabularnewline
185 & 0.508977 & 0.982046 & 0.491023 \tabularnewline
186 & 0.566195 & 0.86761 & 0.433805 \tabularnewline
187 & 0.54711 & 0.90578 & 0.45289 \tabularnewline
188 & 0.51024 & 0.97952 & 0.48976 \tabularnewline
189 & 0.491851 & 0.983702 & 0.508149 \tabularnewline
190 & 0.466131 & 0.932261 & 0.533869 \tabularnewline
191 & 0.470731 & 0.941463 & 0.529269 \tabularnewline
192 & 0.481291 & 0.962582 & 0.518709 \tabularnewline
193 & 0.450612 & 0.901224 & 0.549388 \tabularnewline
194 & 0.43086 & 0.861721 & 0.56914 \tabularnewline
195 & 0.398273 & 0.796545 & 0.601727 \tabularnewline
196 & 0.364258 & 0.728516 & 0.635742 \tabularnewline
197 & 0.336952 & 0.673905 & 0.663048 \tabularnewline
198 & 0.372685 & 0.74537 & 0.627315 \tabularnewline
199 & 0.337382 & 0.674765 & 0.662618 \tabularnewline
200 & 0.357128 & 0.714257 & 0.642872 \tabularnewline
201 & 0.32388 & 0.647759 & 0.67612 \tabularnewline
202 & 0.318957 & 0.637914 & 0.681043 \tabularnewline
203 & 0.30357 & 0.60714 & 0.69643 \tabularnewline
204 & 0.293888 & 0.587777 & 0.706112 \tabularnewline
205 & 0.271112 & 0.542224 & 0.728888 \tabularnewline
206 & 0.254971 & 0.509942 & 0.745029 \tabularnewline
207 & 0.23252 & 0.46504 & 0.76748 \tabularnewline
208 & 0.23422 & 0.468441 & 0.76578 \tabularnewline
209 & 0.2425 & 0.484999 & 0.7575 \tabularnewline
210 & 0.619811 & 0.760378 & 0.380189 \tabularnewline
211 & 0.635226 & 0.729549 & 0.364774 \tabularnewline
212 & 0.627411 & 0.745179 & 0.372589 \tabularnewline
213 & 0.588818 & 0.822365 & 0.411182 \tabularnewline
214 & 0.576878 & 0.846244 & 0.423122 \tabularnewline
215 & 0.537381 & 0.925239 & 0.462619 \tabularnewline
216 & 0.499075 & 0.99815 & 0.500925 \tabularnewline
217 & 0.463819 & 0.927637 & 0.536181 \tabularnewline
218 & 0.425802 & 0.851605 & 0.574198 \tabularnewline
219 & 0.398047 & 0.796095 & 0.601953 \tabularnewline
220 & 0.371626 & 0.743252 & 0.628374 \tabularnewline
221 & 0.335867 & 0.671734 & 0.664133 \tabularnewline
222 & 0.302997 & 0.605993 & 0.697003 \tabularnewline
223 & 0.342831 & 0.685662 & 0.657169 \tabularnewline
224 & 0.303561 & 0.607122 & 0.696439 \tabularnewline
225 & 0.30235 & 0.604701 & 0.69765 \tabularnewline
226 & 0.266065 & 0.532131 & 0.733935 \tabularnewline
227 & 0.280434 & 0.560868 & 0.719566 \tabularnewline
228 & 0.329111 & 0.658221 & 0.670889 \tabularnewline
229 & 0.295741 & 0.591481 & 0.704259 \tabularnewline
230 & 0.359828 & 0.719657 & 0.640172 \tabularnewline
231 & 0.321124 & 0.642247 & 0.678876 \tabularnewline
232 & 0.338092 & 0.676184 & 0.661908 \tabularnewline
233 & 0.31549 & 0.63098 & 0.68451 \tabularnewline
234 & 0.312554 & 0.625108 & 0.687446 \tabularnewline
235 & 0.286169 & 0.572339 & 0.713831 \tabularnewline
236 & 0.420118 & 0.840235 & 0.579882 \tabularnewline
237 & 0.376281 & 0.752562 & 0.623719 \tabularnewline
238 & 0.422419 & 0.844839 & 0.577581 \tabularnewline
239 & 0.417748 & 0.835496 & 0.582252 \tabularnewline
240 & 0.369393 & 0.738787 & 0.630607 \tabularnewline
241 & 0.436011 & 0.872023 & 0.563989 \tabularnewline
242 & 0.486643 & 0.973286 & 0.513357 \tabularnewline
243 & 0.492903 & 0.985805 & 0.507097 \tabularnewline
244 & 0.457216 & 0.914431 & 0.542784 \tabularnewline
245 & 0.58791 & 0.824179 & 0.41209 \tabularnewline
246 & 0.573237 & 0.853526 & 0.426763 \tabularnewline
247 & 0.592952 & 0.814095 & 0.407048 \tabularnewline
248 & 0.560983 & 0.878034 & 0.439017 \tabularnewline
249 & 0.523451 & 0.953099 & 0.476549 \tabularnewline
250 & 0.473758 & 0.947517 & 0.526242 \tabularnewline
251 & 0.418724 & 0.837448 & 0.581276 \tabularnewline
252 & 0.431894 & 0.863788 & 0.568106 \tabularnewline
253 & 0.391136 & 0.782272 & 0.608864 \tabularnewline
254 & 0.357269 & 0.714538 & 0.642731 \tabularnewline
255 & 0.298409 & 0.596819 & 0.701591 \tabularnewline
256 & 0.249463 & 0.498927 & 0.750537 \tabularnewline
257 & 0.239347 & 0.478695 & 0.760653 \tabularnewline
258 & 0.395657 & 0.791314 & 0.604343 \tabularnewline
259 & 0.398877 & 0.797754 & 0.601123 \tabularnewline
260 & 0.46859 & 0.937179 & 0.53141 \tabularnewline
261 & 0.390033 & 0.780065 & 0.609967 \tabularnewline
262 & 0.33066 & 0.66132 & 0.66934 \tabularnewline
263 & 0.277802 & 0.555604 & 0.722198 \tabularnewline
264 & 0.213499 & 0.426998 & 0.786501 \tabularnewline
265 & 0.165556 & 0.331111 & 0.834444 \tabularnewline
266 & 0.126555 & 0.253111 & 0.873445 \tabularnewline
267 & 0.0843738 & 0.168748 & 0.915626 \tabularnewline
268 & 0.323249 & 0.646497 & 0.676751 \tabularnewline
269 & 0.228089 & 0.456177 & 0.771911 \tabularnewline
270 & 0.17308 & 0.34616 & 0.82692 \tabularnewline
271 & 0.708449 & 0.583101 & 0.291551 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269954&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]8[/C][C]0.839563[/C][C]0.320875[/C][C]0.160437[/C][/ROW]
[ROW][C]9[/C][C]0.738091[/C][C]0.523819[/C][C]0.261909[/C][/ROW]
[ROW][C]10[/C][C]0.828391[/C][C]0.343219[/C][C]0.171609[/C][/ROW]
[ROW][C]11[/C][C]0.78094[/C][C]0.438119[/C][C]0.21906[/C][/ROW]
[ROW][C]12[/C][C]0.689935[/C][C]0.620129[/C][C]0.310065[/C][/ROW]
[ROW][C]13[/C][C]0.593088[/C][C]0.813824[/C][C]0.406912[/C][/ROW]
[ROW][C]14[/C][C]0.528397[/C][C]0.943206[/C][C]0.471603[/C][/ROW]
[ROW][C]15[/C][C]0.507144[/C][C]0.985713[/C][C]0.492856[/C][/ROW]
[ROW][C]16[/C][C]0.603843[/C][C]0.792314[/C][C]0.396157[/C][/ROW]
[ROW][C]17[/C][C]0.594076[/C][C]0.811849[/C][C]0.405924[/C][/ROW]
[ROW][C]18[/C][C]0.524765[/C][C]0.95047[/C][C]0.475235[/C][/ROW]
[ROW][C]19[/C][C]0.551998[/C][C]0.896004[/C][C]0.448002[/C][/ROW]
[ROW][C]20[/C][C]0.539805[/C][C]0.920389[/C][C]0.460195[/C][/ROW]
[ROW][C]21[/C][C]0.72013[/C][C]0.55974[/C][C]0.27987[/C][/ROW]
[ROW][C]22[/C][C]0.659393[/C][C]0.681213[/C][C]0.340607[/C][/ROW]
[ROW][C]23[/C][C]0.618957[/C][C]0.762087[/C][C]0.381043[/C][/ROW]
[ROW][C]24[/C][C]0.561971[/C][C]0.876057[/C][C]0.438029[/C][/ROW]
[ROW][C]25[/C][C]0.708241[/C][C]0.583518[/C][C]0.291759[/C][/ROW]
[ROW][C]26[/C][C]0.661905[/C][C]0.67619[/C][C]0.338095[/C][/ROW]
[ROW][C]27[/C][C]0.83521[/C][C]0.329581[/C][C]0.16479[/C][/ROW]
[ROW][C]28[/C][C]0.825901[/C][C]0.348198[/C][C]0.174099[/C][/ROW]
[ROW][C]29[/C][C]0.79357[/C][C]0.412861[/C][C]0.20643[/C][/ROW]
[ROW][C]30[/C][C]0.78087[/C][C]0.438259[/C][C]0.21913[/C][/ROW]
[ROW][C]31[/C][C]0.741837[/C][C]0.516327[/C][C]0.258163[/C][/ROW]
[ROW][C]32[/C][C]0.693807[/C][C]0.612385[/C][C]0.306193[/C][/ROW]
[ROW][C]33[/C][C]0.659633[/C][C]0.680735[/C][C]0.340367[/C][/ROW]
[ROW][C]34[/C][C]0.732636[/C][C]0.534728[/C][C]0.267364[/C][/ROW]
[ROW][C]35[/C][C]0.706497[/C][C]0.587006[/C][C]0.293503[/C][/ROW]
[ROW][C]36[/C][C]0.808293[/C][C]0.383414[/C][C]0.191707[/C][/ROW]
[ROW][C]37[/C][C]0.934189[/C][C]0.131621[/C][C]0.0658106[/C][/ROW]
[ROW][C]38[/C][C]0.93061[/C][C]0.13878[/C][C]0.0693901[/C][/ROW]
[ROW][C]39[/C][C]0.91406[/C][C]0.17188[/C][C]0.0859401[/C][/ROW]
[ROW][C]40[/C][C]0.954775[/C][C]0.0904499[/C][C]0.045225[/C][/ROW]
[ROW][C]41[/C][C]0.946606[/C][C]0.106789[/C][C]0.0533943[/C][/ROW]
[ROW][C]42[/C][C]0.933177[/C][C]0.133645[/C][C]0.0668227[/C][/ROW]
[ROW][C]43[/C][C]0.972822[/C][C]0.0543559[/C][C]0.0271779[/C][/ROW]
[ROW][C]44[/C][C]0.967827[/C][C]0.0643465[/C][C]0.0321733[/C][/ROW]
[ROW][C]45[/C][C]0.961872[/C][C]0.0762565[/C][C]0.0381282[/C][/ROW]
[ROW][C]46[/C][C]0.985651[/C][C]0.0286988[/C][C]0.0143494[/C][/ROW]
[ROW][C]47[/C][C]0.983784[/C][C]0.0324318[/C][C]0.0162159[/C][/ROW]
[ROW][C]48[/C][C]0.980467[/C][C]0.0390656[/C][C]0.0195328[/C][/ROW]
[ROW][C]49[/C][C]0.978801[/C][C]0.0423971[/C][C]0.0211985[/C][/ROW]
[ROW][C]50[/C][C]0.972819[/C][C]0.0543623[/C][C]0.0271812[/C][/ROW]
[ROW][C]51[/C][C]0.965641[/C][C]0.0687172[/C][C]0.0343586[/C][/ROW]
[ROW][C]52[/C][C]0.967917[/C][C]0.0641656[/C][C]0.0320828[/C][/ROW]
[ROW][C]53[/C][C]0.963164[/C][C]0.0736719[/C][C]0.0368359[/C][/ROW]
[ROW][C]54[/C][C]0.962353[/C][C]0.0752935[/C][C]0.0376468[/C][/ROW]
[ROW][C]55[/C][C]0.970003[/C][C]0.0599934[/C][C]0.0299967[/C][/ROW]
[ROW][C]56[/C][C]0.964921[/C][C]0.0701574[/C][C]0.0350787[/C][/ROW]
[ROW][C]57[/C][C]0.981174[/C][C]0.0376525[/C][C]0.0188262[/C][/ROW]
[ROW][C]58[/C][C]0.985642[/C][C]0.0287155[/C][C]0.0143577[/C][/ROW]
[ROW][C]59[/C][C]0.981636[/C][C]0.0367275[/C][C]0.0183637[/C][/ROW]
[ROW][C]60[/C][C]0.979444[/C][C]0.0411121[/C][C]0.0205561[/C][/ROW]
[ROW][C]61[/C][C]0.974241[/C][C]0.0515171[/C][C]0.0257586[/C][/ROW]
[ROW][C]62[/C][C]0.968548[/C][C]0.0629039[/C][C]0.0314519[/C][/ROW]
[ROW][C]63[/C][C]0.972723[/C][C]0.0545534[/C][C]0.0272767[/C][/ROW]
[ROW][C]64[/C][C]0.967208[/C][C]0.0655841[/C][C]0.032792[/C][/ROW]
[ROW][C]65[/C][C]0.97434[/C][C]0.0513193[/C][C]0.0256596[/C][/ROW]
[ROW][C]66[/C][C]0.972164[/C][C]0.0556727[/C][C]0.0278363[/C][/ROW]
[ROW][C]67[/C][C]0.966096[/C][C]0.0678086[/C][C]0.0339043[/C][/ROW]
[ROW][C]68[/C][C]0.958808[/C][C]0.0823837[/C][C]0.0411919[/C][/ROW]
[ROW][C]69[/C][C]0.951551[/C][C]0.0968973[/C][C]0.0484487[/C][/ROW]
[ROW][C]70[/C][C]0.946884[/C][C]0.106232[/C][C]0.0531158[/C][/ROW]
[ROW][C]71[/C][C]0.937049[/C][C]0.125902[/C][C]0.0629511[/C][/ROW]
[ROW][C]72[/C][C]0.93066[/C][C]0.138681[/C][C]0.0693404[/C][/ROW]
[ROW][C]73[/C][C]0.928442[/C][C]0.143115[/C][C]0.0715577[/C][/ROW]
[ROW][C]74[/C][C]0.914459[/C][C]0.171082[/C][C]0.0855411[/C][/ROW]
[ROW][C]75[/C][C]0.965938[/C][C]0.0681232[/C][C]0.0340616[/C][/ROW]
[ROW][C]76[/C][C]0.959042[/C][C]0.0819155[/C][C]0.0409577[/C][/ROW]
[ROW][C]77[/C][C]0.950999[/C][C]0.0980016[/C][C]0.0490008[/C][/ROW]
[ROW][C]78[/C][C]0.94515[/C][C]0.1097[/C][C]0.0548498[/C][/ROW]
[ROW][C]79[/C][C]0.933906[/C][C]0.132189[/C][C]0.0660943[/C][/ROW]
[ROW][C]80[/C][C]0.925928[/C][C]0.148144[/C][C]0.0740719[/C][/ROW]
[ROW][C]81[/C][C]0.920644[/C][C]0.158713[/C][C]0.0793565[/C][/ROW]
[ROW][C]82[/C][C]0.907551[/C][C]0.184897[/C][C]0.0924486[/C][/ROW]
[ROW][C]83[/C][C]0.891295[/C][C]0.217411[/C][C]0.108705[/C][/ROW]
[ROW][C]84[/C][C]0.883302[/C][C]0.233396[/C][C]0.116698[/C][/ROW]
[ROW][C]85[/C][C]0.864317[/C][C]0.271366[/C][C]0.135683[/C][/ROW]
[ROW][C]86[/C][C]0.849645[/C][C]0.300709[/C][C]0.150355[/C][/ROW]
[ROW][C]87[/C][C]0.830259[/C][C]0.339482[/C][C]0.169741[/C][/ROW]
[ROW][C]88[/C][C]0.817365[/C][C]0.365269[/C][C]0.182635[/C][/ROW]
[ROW][C]89[/C][C]0.85166[/C][C]0.296679[/C][C]0.14834[/C][/ROW]
[ROW][C]90[/C][C]0.832539[/C][C]0.334921[/C][C]0.167461[/C][/ROW]
[ROW][C]91[/C][C]0.8228[/C][C]0.3544[/C][C]0.1772[/C][/ROW]
[ROW][C]92[/C][C]0.866282[/C][C]0.267435[/C][C]0.133718[/C][/ROW]
[ROW][C]93[/C][C]0.852262[/C][C]0.295475[/C][C]0.147738[/C][/ROW]
[ROW][C]94[/C][C]0.921669[/C][C]0.156661[/C][C]0.0783306[/C][/ROW]
[ROW][C]95[/C][C]0.908627[/C][C]0.182746[/C][C]0.0913729[/C][/ROW]
[ROW][C]96[/C][C]0.894207[/C][C]0.211587[/C][C]0.105793[/C][/ROW]
[ROW][C]97[/C][C]0.887637[/C][C]0.224727[/C][C]0.112363[/C][/ROW]
[ROW][C]98[/C][C]0.877139[/C][C]0.245723[/C][C]0.122861[/C][/ROW]
[ROW][C]99[/C][C]0.866881[/C][C]0.266238[/C][C]0.133119[/C][/ROW]
[ROW][C]100[/C][C]0.848133[/C][C]0.303735[/C][C]0.151867[/C][/ROW]
[ROW][C]101[/C][C]0.834587[/C][C]0.330827[/C][C]0.165413[/C][/ROW]
[ROW][C]102[/C][C]0.814747[/C][C]0.370505[/C][C]0.185253[/C][/ROW]
[ROW][C]103[/C][C]0.801679[/C][C]0.396641[/C][C]0.198321[/C][/ROW]
[ROW][C]104[/C][C]0.792116[/C][C]0.415769[/C][C]0.207884[/C][/ROW]
[ROW][C]105[/C][C]0.830976[/C][C]0.338048[/C][C]0.169024[/C][/ROW]
[ROW][C]106[/C][C]0.831669[/C][C]0.336662[/C][C]0.168331[/C][/ROW]
[ROW][C]107[/C][C]0.808819[/C][C]0.382362[/C][C]0.191181[/C][/ROW]
[ROW][C]108[/C][C]0.79289[/C][C]0.41422[/C][C]0.20711[/C][/ROW]
[ROW][C]109[/C][C]0.766854[/C][C]0.466292[/C][C]0.233146[/C][/ROW]
[ROW][C]110[/C][C]0.746272[/C][C]0.507455[/C][C]0.253728[/C][/ROW]
[ROW][C]111[/C][C]0.71747[/C][C]0.565059[/C][C]0.28253[/C][/ROW]
[ROW][C]112[/C][C]0.702301[/C][C]0.595397[/C][C]0.297699[/C][/ROW]
[ROW][C]113[/C][C]0.673523[/C][C]0.652954[/C][C]0.326477[/C][/ROW]
[ROW][C]114[/C][C]0.654322[/C][C]0.691357[/C][C]0.345678[/C][/ROW]
[ROW][C]115[/C][C]0.62544[/C][C]0.74912[/C][C]0.37456[/C][/ROW]
[ROW][C]116[/C][C]0.596982[/C][C]0.806036[/C][C]0.403018[/C][/ROW]
[ROW][C]117[/C][C]0.56677[/C][C]0.866461[/C][C]0.43323[/C][/ROW]
[ROW][C]118[/C][C]0.591359[/C][C]0.817282[/C][C]0.408641[/C][/ROW]
[ROW][C]119[/C][C]0.573998[/C][C]0.852003[/C][C]0.426002[/C][/ROW]
[ROW][C]120[/C][C]0.540458[/C][C]0.919085[/C][C]0.459542[/C][/ROW]
[ROW][C]121[/C][C]0.514653[/C][C]0.970694[/C][C]0.485347[/C][/ROW]
[ROW][C]122[/C][C]0.483147[/C][C]0.966294[/C][C]0.516853[/C][/ROW]
[ROW][C]123[/C][C]0.576238[/C][C]0.847524[/C][C]0.423762[/C][/ROW]
[ROW][C]124[/C][C]0.551654[/C][C]0.896693[/C][C]0.448346[/C][/ROW]
[ROW][C]125[/C][C]0.649283[/C][C]0.701434[/C][C]0.350717[/C][/ROW]
[ROW][C]126[/C][C]0.62528[/C][C]0.74944[/C][C]0.37472[/C][/ROW]
[ROW][C]127[/C][C]0.689602[/C][C]0.620796[/C][C]0.310398[/C][/ROW]
[ROW][C]128[/C][C]0.686574[/C][C]0.626852[/C][C]0.313426[/C][/ROW]
[ROW][C]129[/C][C]0.709475[/C][C]0.58105[/C][C]0.290525[/C][/ROW]
[ROW][C]130[/C][C]0.682889[/C][C]0.634221[/C][C]0.317111[/C][/ROW]
[ROW][C]131[/C][C]0.674182[/C][C]0.651637[/C][C]0.325818[/C][/ROW]
[ROW][C]132[/C][C]0.649861[/C][C]0.700278[/C][C]0.350139[/C][/ROW]
[ROW][C]133[/C][C]0.620393[/C][C]0.759215[/C][C]0.379607[/C][/ROW]
[ROW][C]134[/C][C]0.644281[/C][C]0.711438[/C][C]0.355719[/C][/ROW]
[ROW][C]135[/C][C]0.633814[/C][C]0.732371[/C][C]0.366186[/C][/ROW]
[ROW][C]136[/C][C]0.710897[/C][C]0.578206[/C][C]0.289103[/C][/ROW]
[ROW][C]137[/C][C]0.685811[/C][C]0.628377[/C][C]0.314189[/C][/ROW]
[ROW][C]138[/C][C]0.660089[/C][C]0.679821[/C][C]0.339911[/C][/ROW]
[ROW][C]139[/C][C]0.738839[/C][C]0.522322[/C][C]0.261161[/C][/ROW]
[ROW][C]140[/C][C]0.710501[/C][C]0.578998[/C][C]0.289499[/C][/ROW]
[ROW][C]141[/C][C]0.683435[/C][C]0.633131[/C][C]0.316565[/C][/ROW]
[ROW][C]142[/C][C]0.768411[/C][C]0.463178[/C][C]0.231589[/C][/ROW]
[ROW][C]143[/C][C]0.780676[/C][C]0.438648[/C][C]0.219324[/C][/ROW]
[ROW][C]144[/C][C]0.765688[/C][C]0.468624[/C][C]0.234312[/C][/ROW]
[ROW][C]145[/C][C]0.740655[/C][C]0.51869[/C][C]0.259345[/C][/ROW]
[ROW][C]146[/C][C]0.718422[/C][C]0.563156[/C][C]0.281578[/C][/ROW]
[ROW][C]147[/C][C]0.690999[/C][C]0.618001[/C][C]0.309001[/C][/ROW]
[ROW][C]148[/C][C]0.668084[/C][C]0.663832[/C][C]0.331916[/C][/ROW]
[ROW][C]149[/C][C]0.646599[/C][C]0.706802[/C][C]0.353401[/C][/ROW]
[ROW][C]150[/C][C]0.615215[/C][C]0.76957[/C][C]0.384785[/C][/ROW]
[ROW][C]151[/C][C]0.582928[/C][C]0.834144[/C][C]0.417072[/C][/ROW]
[ROW][C]152[/C][C]0.618511[/C][C]0.762978[/C][C]0.381489[/C][/ROW]
[ROW][C]153[/C][C]0.616236[/C][C]0.767528[/C][C]0.383764[/C][/ROW]
[ROW][C]154[/C][C]0.585463[/C][C]0.829074[/C][C]0.414537[/C][/ROW]
[ROW][C]155[/C][C]0.552986[/C][C]0.894029[/C][C]0.447014[/C][/ROW]
[ROW][C]156[/C][C]0.518575[/C][C]0.96285[/C][C]0.481425[/C][/ROW]
[ROW][C]157[/C][C]0.484474[/C][C]0.968949[/C][C]0.515526[/C][/ROW]
[ROW][C]158[/C][C]0.452017[/C][C]0.904034[/C][C]0.547983[/C][/ROW]
[ROW][C]159[/C][C]0.42393[/C][C]0.847861[/C][C]0.57607[/C][/ROW]
[ROW][C]160[/C][C]0.421995[/C][C]0.843991[/C][C]0.578005[/C][/ROW]
[ROW][C]161[/C][C]0.39789[/C][C]0.795779[/C][C]0.60211[/C][/ROW]
[ROW][C]162[/C][C]0.396359[/C][C]0.792719[/C][C]0.603641[/C][/ROW]
[ROW][C]163[/C][C]0.377589[/C][C]0.755178[/C][C]0.622411[/C][/ROW]
[ROW][C]164[/C][C]0.346347[/C][C]0.692694[/C][C]0.653653[/C][/ROW]
[ROW][C]165[/C][C]0.316363[/C][C]0.632726[/C][C]0.683637[/C][/ROW]
[ROW][C]166[/C][C]0.319754[/C][C]0.639509[/C][C]0.680246[/C][/ROW]
[ROW][C]167[/C][C]0.296321[/C][C]0.592641[/C][C]0.703679[/C][/ROW]
[ROW][C]168[/C][C]0.282038[/C][C]0.564075[/C][C]0.717962[/C][/ROW]
[ROW][C]169[/C][C]0.259964[/C][C]0.519929[/C][C]0.740036[/C][/ROW]
[ROW][C]170[/C][C]0.259544[/C][C]0.519088[/C][C]0.740456[/C][/ROW]
[ROW][C]171[/C][C]0.233825[/C][C]0.46765[/C][C]0.766175[/C][/ROW]
[ROW][C]172[/C][C]0.296618[/C][C]0.593236[/C][C]0.703382[/C][/ROW]
[ROW][C]173[/C][C]0.301674[/C][C]0.603349[/C][C]0.698326[/C][/ROW]
[ROW][C]174[/C][C]0.305195[/C][C]0.610389[/C][C]0.694805[/C][/ROW]
[ROW][C]175[/C][C]0.27648[/C][C]0.552959[/C][C]0.72352[/C][/ROW]
[ROW][C]176[/C][C]0.249133[/C][C]0.498266[/C][C]0.750867[/C][/ROW]
[ROW][C]177[/C][C]0.223829[/C][C]0.447659[/C][C]0.776171[/C][/ROW]
[ROW][C]178[/C][C]0.229102[/C][C]0.458203[/C][C]0.770898[/C][/ROW]
[ROW][C]179[/C][C]0.310004[/C][C]0.620008[/C][C]0.689996[/C][/ROW]
[ROW][C]180[/C][C]0.295516[/C][C]0.591032[/C][C]0.704484[/C][/ROW]
[ROW][C]181[/C][C]0.318163[/C][C]0.636327[/C][C]0.681837[/C][/ROW]
[ROW][C]182[/C][C]0.305778[/C][C]0.611556[/C][C]0.694222[/C][/ROW]
[ROW][C]183[/C][C]0.580604[/C][C]0.838792[/C][C]0.419396[/C][/ROW]
[ROW][C]184[/C][C]0.544782[/C][C]0.910436[/C][C]0.455218[/C][/ROW]
[ROW][C]185[/C][C]0.508977[/C][C]0.982046[/C][C]0.491023[/C][/ROW]
[ROW][C]186[/C][C]0.566195[/C][C]0.86761[/C][C]0.433805[/C][/ROW]
[ROW][C]187[/C][C]0.54711[/C][C]0.90578[/C][C]0.45289[/C][/ROW]
[ROW][C]188[/C][C]0.51024[/C][C]0.97952[/C][C]0.48976[/C][/ROW]
[ROW][C]189[/C][C]0.491851[/C][C]0.983702[/C][C]0.508149[/C][/ROW]
[ROW][C]190[/C][C]0.466131[/C][C]0.932261[/C][C]0.533869[/C][/ROW]
[ROW][C]191[/C][C]0.470731[/C][C]0.941463[/C][C]0.529269[/C][/ROW]
[ROW][C]192[/C][C]0.481291[/C][C]0.962582[/C][C]0.518709[/C][/ROW]
[ROW][C]193[/C][C]0.450612[/C][C]0.901224[/C][C]0.549388[/C][/ROW]
[ROW][C]194[/C][C]0.43086[/C][C]0.861721[/C][C]0.56914[/C][/ROW]
[ROW][C]195[/C][C]0.398273[/C][C]0.796545[/C][C]0.601727[/C][/ROW]
[ROW][C]196[/C][C]0.364258[/C][C]0.728516[/C][C]0.635742[/C][/ROW]
[ROW][C]197[/C][C]0.336952[/C][C]0.673905[/C][C]0.663048[/C][/ROW]
[ROW][C]198[/C][C]0.372685[/C][C]0.74537[/C][C]0.627315[/C][/ROW]
[ROW][C]199[/C][C]0.337382[/C][C]0.674765[/C][C]0.662618[/C][/ROW]
[ROW][C]200[/C][C]0.357128[/C][C]0.714257[/C][C]0.642872[/C][/ROW]
[ROW][C]201[/C][C]0.32388[/C][C]0.647759[/C][C]0.67612[/C][/ROW]
[ROW][C]202[/C][C]0.318957[/C][C]0.637914[/C][C]0.681043[/C][/ROW]
[ROW][C]203[/C][C]0.30357[/C][C]0.60714[/C][C]0.69643[/C][/ROW]
[ROW][C]204[/C][C]0.293888[/C][C]0.587777[/C][C]0.706112[/C][/ROW]
[ROW][C]205[/C][C]0.271112[/C][C]0.542224[/C][C]0.728888[/C][/ROW]
[ROW][C]206[/C][C]0.254971[/C][C]0.509942[/C][C]0.745029[/C][/ROW]
[ROW][C]207[/C][C]0.23252[/C][C]0.46504[/C][C]0.76748[/C][/ROW]
[ROW][C]208[/C][C]0.23422[/C][C]0.468441[/C][C]0.76578[/C][/ROW]
[ROW][C]209[/C][C]0.2425[/C][C]0.484999[/C][C]0.7575[/C][/ROW]
[ROW][C]210[/C][C]0.619811[/C][C]0.760378[/C][C]0.380189[/C][/ROW]
[ROW][C]211[/C][C]0.635226[/C][C]0.729549[/C][C]0.364774[/C][/ROW]
[ROW][C]212[/C][C]0.627411[/C][C]0.745179[/C][C]0.372589[/C][/ROW]
[ROW][C]213[/C][C]0.588818[/C][C]0.822365[/C][C]0.411182[/C][/ROW]
[ROW][C]214[/C][C]0.576878[/C][C]0.846244[/C][C]0.423122[/C][/ROW]
[ROW][C]215[/C][C]0.537381[/C][C]0.925239[/C][C]0.462619[/C][/ROW]
[ROW][C]216[/C][C]0.499075[/C][C]0.99815[/C][C]0.500925[/C][/ROW]
[ROW][C]217[/C][C]0.463819[/C][C]0.927637[/C][C]0.536181[/C][/ROW]
[ROW][C]218[/C][C]0.425802[/C][C]0.851605[/C][C]0.574198[/C][/ROW]
[ROW][C]219[/C][C]0.398047[/C][C]0.796095[/C][C]0.601953[/C][/ROW]
[ROW][C]220[/C][C]0.371626[/C][C]0.743252[/C][C]0.628374[/C][/ROW]
[ROW][C]221[/C][C]0.335867[/C][C]0.671734[/C][C]0.664133[/C][/ROW]
[ROW][C]222[/C][C]0.302997[/C][C]0.605993[/C][C]0.697003[/C][/ROW]
[ROW][C]223[/C][C]0.342831[/C][C]0.685662[/C][C]0.657169[/C][/ROW]
[ROW][C]224[/C][C]0.303561[/C][C]0.607122[/C][C]0.696439[/C][/ROW]
[ROW][C]225[/C][C]0.30235[/C][C]0.604701[/C][C]0.69765[/C][/ROW]
[ROW][C]226[/C][C]0.266065[/C][C]0.532131[/C][C]0.733935[/C][/ROW]
[ROW][C]227[/C][C]0.280434[/C][C]0.560868[/C][C]0.719566[/C][/ROW]
[ROW][C]228[/C][C]0.329111[/C][C]0.658221[/C][C]0.670889[/C][/ROW]
[ROW][C]229[/C][C]0.295741[/C][C]0.591481[/C][C]0.704259[/C][/ROW]
[ROW][C]230[/C][C]0.359828[/C][C]0.719657[/C][C]0.640172[/C][/ROW]
[ROW][C]231[/C][C]0.321124[/C][C]0.642247[/C][C]0.678876[/C][/ROW]
[ROW][C]232[/C][C]0.338092[/C][C]0.676184[/C][C]0.661908[/C][/ROW]
[ROW][C]233[/C][C]0.31549[/C][C]0.63098[/C][C]0.68451[/C][/ROW]
[ROW][C]234[/C][C]0.312554[/C][C]0.625108[/C][C]0.687446[/C][/ROW]
[ROW][C]235[/C][C]0.286169[/C][C]0.572339[/C][C]0.713831[/C][/ROW]
[ROW][C]236[/C][C]0.420118[/C][C]0.840235[/C][C]0.579882[/C][/ROW]
[ROW][C]237[/C][C]0.376281[/C][C]0.752562[/C][C]0.623719[/C][/ROW]
[ROW][C]238[/C][C]0.422419[/C][C]0.844839[/C][C]0.577581[/C][/ROW]
[ROW][C]239[/C][C]0.417748[/C][C]0.835496[/C][C]0.582252[/C][/ROW]
[ROW][C]240[/C][C]0.369393[/C][C]0.738787[/C][C]0.630607[/C][/ROW]
[ROW][C]241[/C][C]0.436011[/C][C]0.872023[/C][C]0.563989[/C][/ROW]
[ROW][C]242[/C][C]0.486643[/C][C]0.973286[/C][C]0.513357[/C][/ROW]
[ROW][C]243[/C][C]0.492903[/C][C]0.985805[/C][C]0.507097[/C][/ROW]
[ROW][C]244[/C][C]0.457216[/C][C]0.914431[/C][C]0.542784[/C][/ROW]
[ROW][C]245[/C][C]0.58791[/C][C]0.824179[/C][C]0.41209[/C][/ROW]
[ROW][C]246[/C][C]0.573237[/C][C]0.853526[/C][C]0.426763[/C][/ROW]
[ROW][C]247[/C][C]0.592952[/C][C]0.814095[/C][C]0.407048[/C][/ROW]
[ROW][C]248[/C][C]0.560983[/C][C]0.878034[/C][C]0.439017[/C][/ROW]
[ROW][C]249[/C][C]0.523451[/C][C]0.953099[/C][C]0.476549[/C][/ROW]
[ROW][C]250[/C][C]0.473758[/C][C]0.947517[/C][C]0.526242[/C][/ROW]
[ROW][C]251[/C][C]0.418724[/C][C]0.837448[/C][C]0.581276[/C][/ROW]
[ROW][C]252[/C][C]0.431894[/C][C]0.863788[/C][C]0.568106[/C][/ROW]
[ROW][C]253[/C][C]0.391136[/C][C]0.782272[/C][C]0.608864[/C][/ROW]
[ROW][C]254[/C][C]0.357269[/C][C]0.714538[/C][C]0.642731[/C][/ROW]
[ROW][C]255[/C][C]0.298409[/C][C]0.596819[/C][C]0.701591[/C][/ROW]
[ROW][C]256[/C][C]0.249463[/C][C]0.498927[/C][C]0.750537[/C][/ROW]
[ROW][C]257[/C][C]0.239347[/C][C]0.478695[/C][C]0.760653[/C][/ROW]
[ROW][C]258[/C][C]0.395657[/C][C]0.791314[/C][C]0.604343[/C][/ROW]
[ROW][C]259[/C][C]0.398877[/C][C]0.797754[/C][C]0.601123[/C][/ROW]
[ROW][C]260[/C][C]0.46859[/C][C]0.937179[/C][C]0.53141[/C][/ROW]
[ROW][C]261[/C][C]0.390033[/C][C]0.780065[/C][C]0.609967[/C][/ROW]
[ROW][C]262[/C][C]0.33066[/C][C]0.66132[/C][C]0.66934[/C][/ROW]
[ROW][C]263[/C][C]0.277802[/C][C]0.555604[/C][C]0.722198[/C][/ROW]
[ROW][C]264[/C][C]0.213499[/C][C]0.426998[/C][C]0.786501[/C][/ROW]
[ROW][C]265[/C][C]0.165556[/C][C]0.331111[/C][C]0.834444[/C][/ROW]
[ROW][C]266[/C][C]0.126555[/C][C]0.253111[/C][C]0.873445[/C][/ROW]
[ROW][C]267[/C][C]0.0843738[/C][C]0.168748[/C][C]0.915626[/C][/ROW]
[ROW][C]268[/C][C]0.323249[/C][C]0.646497[/C][C]0.676751[/C][/ROW]
[ROW][C]269[/C][C]0.228089[/C][C]0.456177[/C][C]0.771911[/C][/ROW]
[ROW][C]270[/C][C]0.17308[/C][C]0.34616[/C][C]0.82692[/C][/ROW]
[ROW][C]271[/C][C]0.708449[/C][C]0.583101[/C][C]0.291551[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269954&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269954&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
80.8395630.3208750.160437
90.7380910.5238190.261909
100.8283910.3432190.171609
110.780940.4381190.21906
120.6899350.6201290.310065
130.5930880.8138240.406912
140.5283970.9432060.471603
150.5071440.9857130.492856
160.6038430.7923140.396157
170.5940760.8118490.405924
180.5247650.950470.475235
190.5519980.8960040.448002
200.5398050.9203890.460195
210.720130.559740.27987
220.6593930.6812130.340607
230.6189570.7620870.381043
240.5619710.8760570.438029
250.7082410.5835180.291759
260.6619050.676190.338095
270.835210.3295810.16479
280.8259010.3481980.174099
290.793570.4128610.20643
300.780870.4382590.21913
310.7418370.5163270.258163
320.6938070.6123850.306193
330.6596330.6807350.340367
340.7326360.5347280.267364
350.7064970.5870060.293503
360.8082930.3834140.191707
370.9341890.1316210.0658106
380.930610.138780.0693901
390.914060.171880.0859401
400.9547750.09044990.045225
410.9466060.1067890.0533943
420.9331770.1336450.0668227
430.9728220.05435590.0271779
440.9678270.06434650.0321733
450.9618720.07625650.0381282
460.9856510.02869880.0143494
470.9837840.03243180.0162159
480.9804670.03906560.0195328
490.9788010.04239710.0211985
500.9728190.05436230.0271812
510.9656410.06871720.0343586
520.9679170.06416560.0320828
530.9631640.07367190.0368359
540.9623530.07529350.0376468
550.9700030.05999340.0299967
560.9649210.07015740.0350787
570.9811740.03765250.0188262
580.9856420.02871550.0143577
590.9816360.03672750.0183637
600.9794440.04111210.0205561
610.9742410.05151710.0257586
620.9685480.06290390.0314519
630.9727230.05455340.0272767
640.9672080.06558410.032792
650.974340.05131930.0256596
660.9721640.05567270.0278363
670.9660960.06780860.0339043
680.9588080.08238370.0411919
690.9515510.09689730.0484487
700.9468840.1062320.0531158
710.9370490.1259020.0629511
720.930660.1386810.0693404
730.9284420.1431150.0715577
740.9144590.1710820.0855411
750.9659380.06812320.0340616
760.9590420.08191550.0409577
770.9509990.09800160.0490008
780.945150.10970.0548498
790.9339060.1321890.0660943
800.9259280.1481440.0740719
810.9206440.1587130.0793565
820.9075510.1848970.0924486
830.8912950.2174110.108705
840.8833020.2333960.116698
850.8643170.2713660.135683
860.8496450.3007090.150355
870.8302590.3394820.169741
880.8173650.3652690.182635
890.851660.2966790.14834
900.8325390.3349210.167461
910.82280.35440.1772
920.8662820.2674350.133718
930.8522620.2954750.147738
940.9216690.1566610.0783306
950.9086270.1827460.0913729
960.8942070.2115870.105793
970.8876370.2247270.112363
980.8771390.2457230.122861
990.8668810.2662380.133119
1000.8481330.3037350.151867
1010.8345870.3308270.165413
1020.8147470.3705050.185253
1030.8016790.3966410.198321
1040.7921160.4157690.207884
1050.8309760.3380480.169024
1060.8316690.3366620.168331
1070.8088190.3823620.191181
1080.792890.414220.20711
1090.7668540.4662920.233146
1100.7462720.5074550.253728
1110.717470.5650590.28253
1120.7023010.5953970.297699
1130.6735230.6529540.326477
1140.6543220.6913570.345678
1150.625440.749120.37456
1160.5969820.8060360.403018
1170.566770.8664610.43323
1180.5913590.8172820.408641
1190.5739980.8520030.426002
1200.5404580.9190850.459542
1210.5146530.9706940.485347
1220.4831470.9662940.516853
1230.5762380.8475240.423762
1240.5516540.8966930.448346
1250.6492830.7014340.350717
1260.625280.749440.37472
1270.6896020.6207960.310398
1280.6865740.6268520.313426
1290.7094750.581050.290525
1300.6828890.6342210.317111
1310.6741820.6516370.325818
1320.6498610.7002780.350139
1330.6203930.7592150.379607
1340.6442810.7114380.355719
1350.6338140.7323710.366186
1360.7108970.5782060.289103
1370.6858110.6283770.314189
1380.6600890.6798210.339911
1390.7388390.5223220.261161
1400.7105010.5789980.289499
1410.6834350.6331310.316565
1420.7684110.4631780.231589
1430.7806760.4386480.219324
1440.7656880.4686240.234312
1450.7406550.518690.259345
1460.7184220.5631560.281578
1470.6909990.6180010.309001
1480.6680840.6638320.331916
1490.6465990.7068020.353401
1500.6152150.769570.384785
1510.5829280.8341440.417072
1520.6185110.7629780.381489
1530.6162360.7675280.383764
1540.5854630.8290740.414537
1550.5529860.8940290.447014
1560.5185750.962850.481425
1570.4844740.9689490.515526
1580.4520170.9040340.547983
1590.423930.8478610.57607
1600.4219950.8439910.578005
1610.397890.7957790.60211
1620.3963590.7927190.603641
1630.3775890.7551780.622411
1640.3463470.6926940.653653
1650.3163630.6327260.683637
1660.3197540.6395090.680246
1670.2963210.5926410.703679
1680.2820380.5640750.717962
1690.2599640.5199290.740036
1700.2595440.5190880.740456
1710.2338250.467650.766175
1720.2966180.5932360.703382
1730.3016740.6033490.698326
1740.3051950.6103890.694805
1750.276480.5529590.72352
1760.2491330.4982660.750867
1770.2238290.4476590.776171
1780.2291020.4582030.770898
1790.3100040.6200080.689996
1800.2955160.5910320.704484
1810.3181630.6363270.681837
1820.3057780.6115560.694222
1830.5806040.8387920.419396
1840.5447820.9104360.455218
1850.5089770.9820460.491023
1860.5661950.867610.433805
1870.547110.905780.45289
1880.510240.979520.48976
1890.4918510.9837020.508149
1900.4661310.9322610.533869
1910.4707310.9414630.529269
1920.4812910.9625820.518709
1930.4506120.9012240.549388
1940.430860.8617210.56914
1950.3982730.7965450.601727
1960.3642580.7285160.635742
1970.3369520.6739050.663048
1980.3726850.745370.627315
1990.3373820.6747650.662618
2000.3571280.7142570.642872
2010.323880.6477590.67612
2020.3189570.6379140.681043
2030.303570.607140.69643
2040.2938880.5877770.706112
2050.2711120.5422240.728888
2060.2549710.5099420.745029
2070.232520.465040.76748
2080.234220.4684410.76578
2090.24250.4849990.7575
2100.6198110.7603780.380189
2110.6352260.7295490.364774
2120.6274110.7451790.372589
2130.5888180.8223650.411182
2140.5768780.8462440.423122
2150.5373810.9252390.462619
2160.4990750.998150.500925
2170.4638190.9276370.536181
2180.4258020.8516050.574198
2190.3980470.7960950.601953
2200.3716260.7432520.628374
2210.3358670.6717340.664133
2220.3029970.6059930.697003
2230.3428310.6856620.657169
2240.3035610.6071220.696439
2250.302350.6047010.69765
2260.2660650.5321310.733935
2270.2804340.5608680.719566
2280.3291110.6582210.670889
2290.2957410.5914810.704259
2300.3598280.7196570.640172
2310.3211240.6422470.678876
2320.3380920.6761840.661908
2330.315490.630980.68451
2340.3125540.6251080.687446
2350.2861690.5723390.713831
2360.4201180.8402350.579882
2370.3762810.7525620.623719
2380.4224190.8448390.577581
2390.4177480.8354960.582252
2400.3693930.7387870.630607
2410.4360110.8720230.563989
2420.4866430.9732860.513357
2430.4929030.9858050.507097
2440.4572160.9144310.542784
2450.587910.8241790.41209
2460.5732370.8535260.426763
2470.5929520.8140950.407048
2480.5609830.8780340.439017
2490.5234510.9530990.476549
2500.4737580.9475170.526242
2510.4187240.8374480.581276
2520.4318940.8637880.568106
2530.3911360.7822720.608864
2540.3572690.7145380.642731
2550.2984090.5968190.701591
2560.2494630.4989270.750537
2570.2393470.4786950.760653
2580.3956570.7913140.604343
2590.3988770.7977540.601123
2600.468590.9371790.53141
2610.3900330.7800650.609967
2620.330660.661320.66934
2630.2778020.5556040.722198
2640.2134990.4269980.786501
2650.1655560.3311110.834444
2660.1265550.2531110.873445
2670.08437380.1687480.915626
2680.3232490.6464970.676751
2690.2280890.4561770.771911
2700.173080.346160.82692
2710.7084490.5831010.291551






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level80.030303OK
10% type I error level310.117424NOK

\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 & 0 & 0 & OK \tabularnewline
5% type I error level & 8 & 0.030303 & OK \tabularnewline
10% type I error level & 31 & 0.117424 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269954&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]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]8[/C][C]0.030303[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]31[/C][C]0.117424[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269954&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269954&T=6

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


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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level80.030303OK
10% type I error level310.117424NOK


Figures (Output of Computation)

Figure 1
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 2
PNG link  
QR Code
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QR Code
PDF link  
QR Code


Figure 3
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 4
PNG link  
QR Code
Postscript link  
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Input Parameters & R Code

Parameters (Session):
par1 = 5 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 5 ; 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$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, signif(mysum$coefficients[i,1],6), 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,signif(mysum$coefficients[i,1],6))
a<-table.element(a, signif(mysum$coefficients[i,2],6))
a<-table.element(a, signif(mysum$coefficients[i,3],4))
a<-table.element(a, signif(mysum$coefficients[i,4],6))
a<-table.element(a, signif(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, signif(sqrt(mysum$r.squared),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, signif(mysum$r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, signif(mysum$adj.r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[1],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[2],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[3],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, signif(1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]),6))
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, signif(mysum$sigma,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, signif(sum(myerror*myerror),6))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,signif(x[i],6))
a<-table.element(a,signif(x[i]-mysum$resid[i],6))
a<-table.element(a,signif(mysum$resid[i],6))
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,signif(gqarr[mypoint-kp3+1,1],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,2],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,3],6))
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,signif(numsignificant1,6))
a<-table.element(a,signif(numsignificant1/numgqtests,6))
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,signif(numsignificant5,6))
a<-table.element(a,signif(numsignificant5/numgqtests,6))
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,signif(numsignificant10,6))
a<-table.element(a,signif(numsignificant10/numgqtests,6))
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')
}