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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 computationWed, 17 Dec 2014 15:21:27 +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/17/t14188297340fxq0iz9xyemqxc.htm/, Retrieved Sun, 19 May 2024 18:22:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270400, Retrieved Sun, 19 May 2024 18:22:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact97

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Percentiles] [Intrinsic Motivat...] [2010-10-12 12:10:58] [b98453cac15ba1066b407e146608df68]
- R  D  [Percentiles] [] [2011-10-18 22:34:54] [b98453cac15ba1066b407e146608df68]
- RMPD    [Percentiles] [] [2014-12-14 10:18:21] [2fea329c6e322b1612c5dc504f90c0ef]
-    D      [Percentiles] [] [2014-12-14 10:24:25] [2fea329c6e322b1612c5dc504f90c0ef]
-    D        [Percentiles] [] [2014-12-14 10:27:52] [2fea329c6e322b1612c5dc504f90c0ef]
-   PD          [Percentiles] [] [2014-12-16 14:14:51] [2fea329c6e322b1612c5dc504f90c0ef]
-    D            [Percentiles] [] [2014-12-16 14:30:23] [2fea329c6e322b1612c5dc504f90c0ef]
- RM D              [Multiple Regression] [] [2014-12-16 16:28:02] [2fea329c6e322b1612c5dc504f90c0ef]
- R  D                [Multiple Regression] [] [2014-12-16 16:47:32] [2fea329c6e322b1612c5dc504f90c0ef]
- R PD                  [Multiple Regression] [] [2014-12-17 15:01:44] [95c11abf048d3a1e472aeccb09199113]
-    D                      [Multiple Regression] [] [2014-12-17 15:21:27] [d100ddac424efc880e37824ffef4fe9f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
21	12,9	72	149	96	86	13	12
22	12,2	115	139	70	70	8	8
22	12,8	86	148	88	71	14	11
18	7,4	134	158	114	108	16	13
23	6,7	93	128	69	64	14	11
12	12,6	108	224	176	119	13	10
20	14,8	117	159	114	97	15	7
22	13,3	84	105	121	129	13	10
21	11,1	164	159	110	153	20	15
19	8,2	105	167	158	78	17	12
22	11,4	109	165	116	80	15	12
15	6,4	131	159	181	99	16	10
20	10,6	122	119	77	68	12	10
19	12,0	127	176	141	147	17	14
18	6,3	139	54	35	40	11	6
15	11,3	123	91	80	57	16	12
20	11,9	105	163	152	120	16	14
21	9,3	122	124	97	71	15	11
21	9,6	111	137	99	84	13	8
15	10,0	149	121	84	68	14	12
16	6,4	132	153	68	55	19	15
23	13,8	124	148	101	137	16	13
21	10,8	124	221	107	79	17	11
18	13,8	125	188	88	116	10	12
25	11,7	122	149	112	101	15	7
9	10,9	119	244	171	111	14	11
30	16,1	118	148	137	189	14	7
20	13,4	102	92	77	66	16	12
23	9,9	127	150	66	81	15	12
16	11,5	125	153	93	63	17	13
16	8,3	92	94	105	69	14	9
19	11,7	102	156	131	71	16	11
25	9,0	123	132	102	64	15	12
18	9,7	107	161	161	143	16	15
23	10,8	114	105	120	85	16	12
21	10,3	110	97	127	86	10	6
10	10,4	120	151	77	55	8	5
14	12,7	111	131	108	69	17	13
22	9,3	112	166	85	120	14	11
26	11,8	119	157	168	96	10	6
23	5,9	87	111	48	60	14	12
23	11,4	103	145	152	95	12	10
24	13,0	114	162	75	100	16	6
24	10,8	107	163	107	68	16	12
18	12,3	88	59	62	57	16	11
23	11,3	131	187	121	105	8	6
15	11,8	101	109	124	85	16	12
19	7,9	126	90	72	103	15	12
16	12,7	139	105	40	57	8	8
25	12,3	106	83	58	51	13	10
23	11,6	127	116	97	69	14	11
17	6,7	105	42	88	41	13	7
19	10,9	99	148	126	49	16	12
21	12,1	136	155	104	50	19	13
18	13,3	121	125	148	93	19	14
27	10,1	123	116	146	58	14	12
21	5,7	109	128	80	54	15	6
13	14,3	108	138	97	74	13	14
8	8,0	104	49	25	15	10	10
29	13,3	107	96	99	69	16	12
28	9,3	121	164	118	107	15	11
23	12,5	121	162	58	65	11	10
21	7,6	101	99	63	58	9	7
19	15,9	99	202	139	107	16	12
19	9,2	103	186	50	70	12	7
20	9,1	97	66	60	53	12	12
18	11,1	131	183	152	136	14	12
19	13,0	115	214	142	126	14	10
17	14,5	107	188	94	95	13	10
19	12,2	97	104	66	69	15	12
25	12,3	101	177	127	136	17	12
19	11,4	111	126	67	58	14	12
22	8,8	106	76	90	59	11	8
23	14,6	118	99	75	118	9	10
14	12,6	111	139	128	82	7	5
16	13,0	102	162	146	102	15	10
24	12,6	92	108	69	65	12	12
20	13,2	128	159	186	90	15	11
12	9,9	98	74	81	64	14	9
24	7,7	120	110	85	83	16	12
22	10,5	111	96	54	70	14	11
12	13,4	124	116	46	50	13	10
22	10,9	117	87	106	77	16	12
20	4,3	124	97	34	37	13	10
10	10,3	89	127	60	81	16	9
23	11,8	115	106	95	101	16	11
17	11,2	122	80	57	79	16	12
22	11,4	137	74	62	71	10	7
24	8,6	117	91	36	60	12	11
18	13,2	123	133	56	55	12	12
21	12,6	106	74	54	44	12	6
20	5,6	88	114	64	40	12	9
20	9,9	131	140	76	56	19	15
22	8,8	83	95	98	43	14	10
19	7,7	103	98	88	45	13	11
20	9,0	134	121	35	32	16	12
26	7,3	115	126	102	56	15	12
23	11,4	116	98	61	40	12	12
24	13,6	102	95	80	34	8	11
21	7,9	134	110	49	89	10	9
21	10,7	122	70	78	50	16	11
19	10,3	138	102	90	56	16	12
8	8,3	89	86	45	46	10	12
17	9,6	129	130	55	76	18	14
20	14,2	115	96	96	64	12	8
11	8,5	107	102	43	74	16	10
8	13,5	104	100	52	57	10	9
15	4,9	119	94	60	45	14	10
18	6,4	121	52	54	30	12	9
18	9,6	114	98	51	62	11	10
19	11,6	128	118	51	51	15	12
19	11,1	123	99	38	36	7	11
23	4,4	97	48	41	34	16	9
22	12,7	68	50	146	61	16	11
21	18,1	105	150	182	70	16	12
25	17,9	120	154	192	69	16	12
30	16,6	105	109	263	145	12	7
17	12,6	94	68	35	23	15	12
27	17,1	101	194	439	120	14	12
23	19,1	118	158	214	147	15	12
23	16,1	119	159	341	215	16	10
18	13,4	113	67	58	24	13	15
18	18,4	84	147	292	84	10	10
23	14,7	139	39	85	30	17	15
19	10,6	112	100	200	77	15	10
15	12,6	118	111	158	46	18	15
20	16,2	94	138	199	61	16	9
16	13,6	115	101	297	178	20	15
24	18,9	139	131	227	160	16	12
25	14,1	107	101	108	57	17	13
25	14,5	97	114	86	42	16	12
19	16,2	121	165	302	163	15	12
19	14,8	118	114	148	75	13	8
16	14,8	129	111	178	94	16	9
19	12,5	90	75	120	45	16	15
19	12,7	124	82	207	78	16	12
23	17,4	104	121	157	47	17	12
21	8,6	121	32	128	29	20	15
22	18,4	124	150	296	97	14	11
19	16,1	104	117	323	116	17	12
20	11,6	66	71	79	32	6	6
20	17,8	113	165	70	50	16	14
3	15,3	134	154	146	118	15	12
23	17,7	122	126	246	66	16	12
23	16,4	119	149	196	86	16	12
20	17,7	82	145	199	89	14	11
15	13,6	121	120	127	76	16	12
16	14,4	108	109	153	75	16	12
7	14,8	105	132	299	57	16	12
24	18,3	98	172	228	72	14	12
17	9,9	133	169	190	60	14	8
24	16,0	111	114	180	109	16	8
24	18,3	111	156	212	76	16	12
19	16,9	84	172	269	65	15	12
25	14,6	124	68	130	40	16	11
20	13,9	120	89	179	58	16	10
28	19,0	129	167	243	123	18	11
23	15,6	121	113	190	71	15	12
27	14,9	116	115	299	102	16	13
18	11,8	102	78	121	80	16	12
28	18,5	103	118	137	97	16	12
21	15,9	123	87	305	46	17	10
19	17,1	97	173	157	93	14	10
23	16,1	116	2	96	19	18	11
27	19,9	90	162	183	140	9	8
22	11,0	98	49	52	78	15	12
28	18,5	119	122	238	98	14	9
25	15,1	116	96	40	40	15	12
21	15,0	123	100	226	80	13	9
22	11,4	118	82	190	76	16	11
28	16,0	151	100	214	79	20	15
20	18,1	103	115	145	87	14	8
29	14,6	119	141	119	95	12	8
25	15,4	106	165	222	49	15	11
25	15,4	108	165	222	49	15	11
20	17,6	121	110	159	80	15	11
20	13,4	94	118	165	86	16	13
16	19,1	83	158	249	69	11	7
20	15,4	106	146	125	79	16	12
20	7,6	106	49	122	52	7	8
23	13,4	99	90	186	120	11	8
18	13,9	92	121	148	69	9	4
25	19,1	115	155	274	94	15	11
18	15,3	126	104	172	72	16	10
19	12,9	82	147	84	43	14	7
25	16,1	110	110	168	87	15	12
25	17,4	116	108	102	52	13	11
25	13,2	124	113	106	71	13	9
24	12,2	120	115	2	61	12	10
19	12,6	119	61	139	51	16	8
26	10,4	104	60	95	50	14	8
10	15,4	135	109	130	67	16	11
17	9,6	113	68	72	30	14	12
13	18,2	123	111	141	70	15	10
17	13,6	89	77	113	52	10	10
30	14,9	82	73	206	75	16	12
25	14,8	116	151	268	87	14	8
4	14,1	101	89	175	69	16	11
16	14,9	107	78	77	72	12	8
21	16,3	126	110	125	79	16	10
23	19,3	38	220	255	121	16	14
22	13,6	109	65	111	43	15	9
17	13,6	122	141	132	58	14	9
20	15,7	110	117	211	57	16	10
20	12,8	125	122	92	50	11	13
22	14,6	108	63	76	69	15	12
16	9,9	122	44	171	64	18	13
23	12,7	74	52	83	38	13	8
0	19,2	114	131	266	90	7	3
18	16,6	118	101	186	96	7	8
25	11,2	114	42	50	49	17	12
23	15,3	123	152	117	56	18	11
12	11,9	130	107	219	102	15	9
18	13,2	129	77	246	40	8	12
24	16,4	127	154	279	100	13	12
11	12,4	92	103	148	67	13	12
18	15,9	90	96	137	78	15	10
23	18,2	125	175	181	55	18	13
24	11,2	108	57	98	59	16	9
29	15,7	112	112	226	96	14	12
18	17,8	132	143	234	86	15	11
15	7,7	130	49	138	38	19	14
29	12,4	107	110	85	43	16	11
16	15,6	112	131	66	23	12	9
19	19,3	115	167	236	77	16	12
22	15,2	93	56	106	48	11	8
16	17,1	118	137	135	26	16	15
23	15,6	128	86	122	91	15	12
23	18,4	132	121	218	94	19	14
19	19,1	113	149	199	62	15	12
4	18,6	125	168	112	74	14	9
20	19,1	108	140	278	114	14	9
24	13,1	143	88	94	52	17	13
20	12,9	119	168	113	64	16	13
4	9,5	117	94	84	31	20	15
24	4,5	113	51	86	38	16	11
22	11,9	121	48	62	27	9	7
16	13,6	127	145	222	105	13	10
3	11,7	59	66	167	64	15	11
15	12,4	129	85	82	62	19	14
24	13,4	136	109	207	65	16	14
17	11,4	130	63	184	58	17	13
20	14,9	117	102	83	76	16	12
27	19,9	89	162	183	140	9	8
26	11,2	99	86	89	68	11	13
23	14,6	131	114	225	80	14	9
17	17,6	96	164	237	71	19	12
20	14,1	87	119	102	76	13	13
22	16,1	126	126	221	63	14	11
19	13,4	126	132	128	46	15	11
24	11,9	124	142	91	53	15	13
19	12,0	115	83	198	74	14	12
23	14,8	110	94	204	70	16	12
15	15,2	63	81	158	78	17	10
27	13,2	90	166	138	56	12	9
26	16,9	121	110	226	100	15	10
22	7,9	126	64	44	51	17	13
22	7,7	140	93	196	52	15	13
18	12,6	116	104	83	102	10	9
15	7,9	92	105	79	78	16	11
22	11,0	87	49	52	78	15	12
27	12,4	124	88	105	55	11	8
10	10,0	81	95	116	98	16	12
20	14,9	116	102	83	76	16	12
17	16,7	113	99	196	73	16	12
23	13,4	101	63	153	47	14	9
19	14,0	83	76	157	45	14	12
13	15,7	152	109	75	83	16	12
27	16,9	129	117	106	60	16	11
23	11,0	127	57	58	48	18	12
16	15,4	129	120	75	50	14	6
25	12,2	118	73	74	56	20	7
2	15,1	120	91	185	77	15	10
26	17,8	123	108	265	91	16	12
20	15,2	121	105	131	76	16	10
23	14,6	94	117	139	68	16	12
22	16,7	120	119	196	74	12	9
24	8,1	95	31	78	29	8	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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270400&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270400&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270400&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'Sir Maurice George Kendall' @ kendall.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Examen[t] = + 8.62703 + 0.0514443Numeracy[t] -0.00852781Motivatie[t] + 0.0109668LFM[t] + 0.0269194B[t] -0.00179466H[t] -0.0365895Confstat[t] + 0.00812596Confsoft[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Examen[t] =  +  8.62703 +  0.0514443Numeracy[t] -0.00852781Motivatie[t] +  0.0109668LFM[t] +  0.0269194B[t] -0.00179466H[t] -0.0365895Confstat[t] +  0.00812596Confsoft[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270400&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Examen[t] =  +  8.62703 +  0.0514443Numeracy[t] -0.00852781Motivatie[t] +  0.0109668LFM[t] +  0.0269194B[t] -0.00179466H[t] -0.0365895Confstat[t] +  0.00812596Confsoft[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270400&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270400&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
Examen[t] = + 8.62703 + 0.0514443Numeracy[t] -0.00852781Motivatie[t] + 0.0109668LFM[t] + 0.0269194B[t] -0.00179466H[t] -0.0365895Confstat[t] + 0.00812596Confsoft[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)8.627031.498345.7582.31411e-081.15705e-08
Numeracy0.05144430.03222741.5960.1115940.0557968
Motivatie-0.008527810.010037-0.84960.396280.19814
LFM0.01096680.004850782.2610.02456620.0122831
B0.02691940.0026825210.042.39956e-201.19978e-20
H-0.001794660.00681832-0.26320.7925890.396294
Confstat-0.03658950.0784566-0.46640.6413290.320665
Confsoft0.008125960.09216710.088170.9298110.464905

\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) & 8.62703 & 1.49834 & 5.758 & 2.31411e-08 & 1.15705e-08 \tabularnewline
Numeracy & 0.0514443 & 0.0322274 & 1.596 & 0.111594 & 0.0557968 \tabularnewline
Motivatie & -0.00852781 & 0.010037 & -0.8496 & 0.39628 & 0.19814 \tabularnewline
LFM & 0.0109668 & 0.00485078 & 2.261 & 0.0245662 & 0.0122831 \tabularnewline
B & 0.0269194 & 0.00268252 & 10.04 & 2.39956e-20 & 1.19978e-20 \tabularnewline
H & -0.00179466 & 0.00681832 & -0.2632 & 0.792589 & 0.396294 \tabularnewline
Confstat & -0.0365895 & 0.0784566 & -0.4664 & 0.641329 & 0.320665 \tabularnewline
Confsoft & 0.00812596 & 0.0921671 & 0.08817 & 0.929811 & 0.464905 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270400&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]8.62703[/C][C]1.49834[/C][C]5.758[/C][C]2.31411e-08[/C][C]1.15705e-08[/C][/ROW]
[ROW][C]Numeracy[/C][C]0.0514443[/C][C]0.0322274[/C][C]1.596[/C][C]0.111594[/C][C]0.0557968[/C][/ROW]
[ROW][C]Motivatie[/C][C]-0.00852781[/C][C]0.010037[/C][C]-0.8496[/C][C]0.39628[/C][C]0.19814[/C][/ROW]
[ROW][C]LFM[/C][C]0.0109668[/C][C]0.00485078[/C][C]2.261[/C][C]0.0245662[/C][C]0.0122831[/C][/ROW]
[ROW][C]B[/C][C]0.0269194[/C][C]0.00268252[/C][C]10.04[/C][C]2.39956e-20[/C][C]1.19978e-20[/C][/ROW]
[ROW][C]H[/C][C]-0.00179466[/C][C]0.00681832[/C][C]-0.2632[/C][C]0.792589[/C][C]0.396294[/C][/ROW]
[ROW][C]Confstat[/C][C]-0.0365895[/C][C]0.0784566[/C][C]-0.4664[/C][C]0.641329[/C][C]0.320665[/C][/ROW]
[ROW][C]Confsoft[/C][C]0.00812596[/C][C]0.0921671[/C][C]0.08817[/C][C]0.929811[/C][C]0.464905[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270400&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270400&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)8.627031.498345.7582.31411e-081.15705e-08
Numeracy0.05144430.03222741.5960.1115940.0557968
Motivatie-0.008527810.010037-0.84960.396280.19814
LFM0.01096680.004850782.2610.02456620.0122831
B0.02691940.0026825210.042.39956e-201.19978e-20
H-0.001794660.00681832-0.26320.7925890.396294
Confstat-0.03658950.0784566-0.46640.6413290.320665
Confsoft0.008125960.09216710.088170.9298110.464905






Multiple Linear Regression - Regression Statistics
Multiple R0.613392
R-squared0.37625
Adjusted R-squared0.360078
F-TEST (value)23.2665
F-TEST (DF numerator)7
F-TEST (DF denominator)270
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.72011
Sum Squared Residuals1997.72

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.613392 \tabularnewline
R-squared & 0.37625 \tabularnewline
Adjusted R-squared & 0.360078 \tabularnewline
F-TEST (value) & 23.2665 \tabularnewline
F-TEST (DF numerator) & 7 \tabularnewline
F-TEST (DF denominator) & 270 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.72011 \tabularnewline
Sum Squared Residuals & 1997.72 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270400&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.613392[/C][/ROW]
[ROW][C]R-squared[/C][C]0.37625[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.360078[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]23.2665[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]7[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]270[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.72011[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1997.72[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270400&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270400&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 R0.613392
R-squared0.37625
Adjusted R-squared0.360078
F-TEST (value)23.2665
F-TEST (DF numerator)7
F-TEST (DF denominator)270
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.72011
Sum Squared Residuals1997.72






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
112.912.77920.12082
212.211.83350.366486
312.812.46710.332883
47.412.5382-5.13825
56.711.7406-5.04062
612.614.9098-2.30977
714.812.80471.99535
813.312.82530.474684
911.112.1292-1.02917
108.214.1293-5.92928
1111.413.1665-1.76654
126.414.2158-7.81584
1310.611.5135-0.913514
141213.4752-1.47516
156.39.47653-3.17653
1611.310.91110.388912
1711.913.9528-2.05281
189.312.0512-2.75115
199.612.3668-2.76684
201011.1795-1.17948
216.411.1609-4.76089
2213.812.36911.43092
2310.813.2795-2.47954
2413.812.44121.35885
2511.712.8485-1.14855
2610.914.7323-3.83226
2716.113.68062.41944
2813.411.26152.13855
299.911.5522-1.65222
3011.511.9361-0.436139
318.311.96-3.66005
3211.713.3484-1.64843
33912.4914-3.49142
349.714.0201-4.32005
3510.812.5795-1.77946
3610.312.7804-2.48037
3710.411.4961-1.09612
3812.712.10440.595606
399.312.2741-2.9741
4011.814.7046-2.9046
415.911.0554-5.15535
4211.414.0855-2.68551
431311.9691.03104
4410.813.0072-2.20722
4512.310.52031.77972
4611.313.5687-2.26875
4711.812.4303-0.630307
487.910.819-2.91899
4912.710.16312.53694
5012.310.99481.30517
5111.612.0638-0.463849
526.710.9433-4.24331
5310.913.1993-2.29929
5412.112.3678-0.267753
5513.313.12770.172255
5610.113.6507-3.55066
575.711.7381-6.03813
5814.312.00472.2953
5989.05049-1.05049
6013.312.31250.987479
619.313.3592-4.05916
6212.511.67850.821549
637.611.2512-3.65117
6415.914.03741.86264
659.211.6041-2.40408
669.110.731-1.63101
6711.113.8757-2.77574
681314.1361-1.1361
6914.512.61641.88361
7012.211.11931.08066
7112.313.6431-1.34313
7211.411.32450.0755318
738.811.6677-2.86772
7414.611.44883.15118
7512.613.0081-0.408074
761313.6365-0.636519
7712.611.66080.939229
7813.214.6941-1.49411
799.910.8467-0.946673
807.711.696-3.99598
8110.510.7702-0.270183
8213.410.21323.18678
8310.911.9425-1.04251
844.310.1167-5.8167
8510.310.7328-0.432778
8611.811.8721-0.0720675
8711.210.24320.95676
8811.410.63460.765394
898.610.3736-1.77365
9013.211.02992.17009
9112.610.59932.00068
925.611.4408-5.8408
939.911.4462-1.54619
948.812.2228-3.42278
957.711.7027-4.00272
96910.237-1.237
977.312.5596-5.25965
9811.411.12450.275497
9913.611.92291.67709
1007.910.6375-2.73754
10110.710.9486-0.248577
10210.311.3806-1.08057
1038.310.0832-1.78319
1049.610.6265-1.0265
10514.211.82342.37663
1068.59.91961-1.41961
10713.510.25313.24688
1084.910.5182-5.61817
1096.410.1253-3.7253
1109.610.596-0.995998
11111.610.6370.962977
11211.110.43290.667149
1134.410.0398-5.63983
11412.713.052-0.351968
11518.114.74273.35725
11617.915.13552.76454
11716.616.9077-0.307711
11812.69.895282.70472
11917.122.4698-5.3698
12019.115.58233.51767
12116.118.8287-2.72866
12213.410.48862.91136
12318.417.87390.526104
12414.710.78683.91323
12510.614.5241-3.92415
12612.613.2437-0.643719
12716.215.10291.09709
12813.616.6428-3.04281
12918.915.44863.45138
13014.112.39691.70308
13114.512.08792.41207
13216.217.7679-1.56793
13314.813.28721.51278
13414.813.6781.12197
13512.512.34550.154494
13612.714.3907-1.69072
13717.413.86783.53217
1388.611.8102-3.21017
13918.417.71760.682423
14016.117.963-1.86298
14111.611.7701-0.170146
14217.811.82475.97525
14315.312.59472.70534
14417.716.16751.53252
14516.415.06341.33656
14617.715.32122.37881
14713.612.47731.1227
14814.413.22071.17933
14914.816.998-2.19803
15018.316.50591.79407
1519.914.7805-4.88054
1521614.29481.70523
15318.315.70852.59147
15416.917.4478-0.547766
15514.612.53312.06688
15613.913.81890.0810625
1571916.55032.44971
15815.614.55361.04643
15914.917.674-2.77404
16011.812.1644-0.364357
16118.513.50914.99085
16215.917.1997-1.29966
16317.114.3032.79702
16416.110.82395.2761
16519.915.43584.46415
1661110.26890.731054
16718.516.18242.31756
16815.110.53044.56962
1691515.2928-0.292807
17011.414.1341-2.73405
1711614.88551.11447
17218.113.33874.76133
17314.613.30931.29073
17415.416.2474-0.847427
17515.416.2304-0.830372
17617.613.50764.09244
17713.413.956-0.555953
17819.116.70862.39141
17915.413.08832.31165
1807.612.2891-4.68907
18113.414.4072-1.00718
18213.913.65890.241108
18319.117.38011.71994
18415.313.61581.68418
18512.912.2460.654002
18616.114.09642.00358
18717.412.37455.0255
18813.212.41840.781556
18912.29.686082.51392
19012.612.38850.211516
19110.411.7561-1.35606
19215.412.06883.33117
1939.610.7533-1.1533
19418.212.66665.53337
19513.612.2511.34901
19614.915.1945-0.294536
19714.817.1909-2.39092
19814.113.03861.06144
19914.910.96263.93741
20016.312.55823.74182
20119.318.07451.22548
20213.611.97731.62271
20313.613.01770.582339
20415.715.07450.625498
20512.812.01790.782106
20614.610.99943.60058
2079.912.8277-2.92767
20812.711.50491.19508
20919.215.85883.34119
21016.614.2982.302
21111.210.13511.06491
21215.312.90812.39187
21311.914.5458-2.64578
21413.215.6526-2.45257
21516.417.4204-1.02045
21612.413.0236-0.623618
21715.912.91872.98127
21818.214.88423.3158
21911.211.5857-0.385716
22015.715.8888-0.188842
22117.815.6812.11904
2227.711.8927-4.1927
22312.412.12770.272281
22415.611.30114.29886
22519.316.18213.1179
22615.212.00973.1903
22717.113.07024.02977
22815.612.33143.26864
22918.415.12993.27014
23019.115.06924.03075
23118.612.05236.5477
23219.117.11021.98985
23313.111.5281.57199
23412.912.9308-0.0307682
2359.510.4616-0.961627
2364.511.2082-6.70818
23711.910.60151.29853
23813.615.3506-1.75056
23911.712.9233-1.22326
24012.410.74551.65453
24113.414.8813-1.48129
24211.413.4166-2.01658
24314.911.38683.51323
24419.915.44444.45562
24511.212.0404-0.840416
24614.615.4175-0.817499
24717.616.13631.46374
24814.112.45841.6416
24916.115.47940.620621
25013.412.88130.518742
25111.912.2729-0.372873
2521214.3165-2.31652
25314.814.78110.0189155
25415.213.32231.87772
25513.214.3174-1.11745
25616.915.57581.32419
2577.99.96272-2.06272
2587.714.3245-6.6245
25912.611.46281.13716
2607.911.2563-3.35625
2611110.36280.637248
26212.412.3140.0859892
2631011.9514-1.95142
26414.911.39533.5047
26516.714.28092.41907
26613.413.23510.164949
2671413.4610.539012
26815.710.5775.12296
26916.912.44884.45122
2701110.26640.733594
27115.411.13184.26821
27212.210.92411.27594
27315.113.07892.02112
27417.816.58251.21751
27515.212.66142.53856
27614.613.42361.17641
27716.714.8181.88202
2788.111.1709-3.07085

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 12.9 & 12.7792 & 0.12082 \tabularnewline
2 & 12.2 & 11.8335 & 0.366486 \tabularnewline
3 & 12.8 & 12.4671 & 0.332883 \tabularnewline
4 & 7.4 & 12.5382 & -5.13825 \tabularnewline
5 & 6.7 & 11.7406 & -5.04062 \tabularnewline
6 & 12.6 & 14.9098 & -2.30977 \tabularnewline
7 & 14.8 & 12.8047 & 1.99535 \tabularnewline
8 & 13.3 & 12.8253 & 0.474684 \tabularnewline
9 & 11.1 & 12.1292 & -1.02917 \tabularnewline
10 & 8.2 & 14.1293 & -5.92928 \tabularnewline
11 & 11.4 & 13.1665 & -1.76654 \tabularnewline
12 & 6.4 & 14.2158 & -7.81584 \tabularnewline
13 & 10.6 & 11.5135 & -0.913514 \tabularnewline
14 & 12 & 13.4752 & -1.47516 \tabularnewline
15 & 6.3 & 9.47653 & -3.17653 \tabularnewline
16 & 11.3 & 10.9111 & 0.388912 \tabularnewline
17 & 11.9 & 13.9528 & -2.05281 \tabularnewline
18 & 9.3 & 12.0512 & -2.75115 \tabularnewline
19 & 9.6 & 12.3668 & -2.76684 \tabularnewline
20 & 10 & 11.1795 & -1.17948 \tabularnewline
21 & 6.4 & 11.1609 & -4.76089 \tabularnewline
22 & 13.8 & 12.3691 & 1.43092 \tabularnewline
23 & 10.8 & 13.2795 & -2.47954 \tabularnewline
24 & 13.8 & 12.4412 & 1.35885 \tabularnewline
25 & 11.7 & 12.8485 & -1.14855 \tabularnewline
26 & 10.9 & 14.7323 & -3.83226 \tabularnewline
27 & 16.1 & 13.6806 & 2.41944 \tabularnewline
28 & 13.4 & 11.2615 & 2.13855 \tabularnewline
29 & 9.9 & 11.5522 & -1.65222 \tabularnewline
30 & 11.5 & 11.9361 & -0.436139 \tabularnewline
31 & 8.3 & 11.96 & -3.66005 \tabularnewline
32 & 11.7 & 13.3484 & -1.64843 \tabularnewline
33 & 9 & 12.4914 & -3.49142 \tabularnewline
34 & 9.7 & 14.0201 & -4.32005 \tabularnewline
35 & 10.8 & 12.5795 & -1.77946 \tabularnewline
36 & 10.3 & 12.7804 & -2.48037 \tabularnewline
37 & 10.4 & 11.4961 & -1.09612 \tabularnewline
38 & 12.7 & 12.1044 & 0.595606 \tabularnewline
39 & 9.3 & 12.2741 & -2.9741 \tabularnewline
40 & 11.8 & 14.7046 & -2.9046 \tabularnewline
41 & 5.9 & 11.0554 & -5.15535 \tabularnewline
42 & 11.4 & 14.0855 & -2.68551 \tabularnewline
43 & 13 & 11.969 & 1.03104 \tabularnewline
44 & 10.8 & 13.0072 & -2.20722 \tabularnewline
45 & 12.3 & 10.5203 & 1.77972 \tabularnewline
46 & 11.3 & 13.5687 & -2.26875 \tabularnewline
47 & 11.8 & 12.4303 & -0.630307 \tabularnewline
48 & 7.9 & 10.819 & -2.91899 \tabularnewline
49 & 12.7 & 10.1631 & 2.53694 \tabularnewline
50 & 12.3 & 10.9948 & 1.30517 \tabularnewline
51 & 11.6 & 12.0638 & -0.463849 \tabularnewline
52 & 6.7 & 10.9433 & -4.24331 \tabularnewline
53 & 10.9 & 13.1993 & -2.29929 \tabularnewline
54 & 12.1 & 12.3678 & -0.267753 \tabularnewline
55 & 13.3 & 13.1277 & 0.172255 \tabularnewline
56 & 10.1 & 13.6507 & -3.55066 \tabularnewline
57 & 5.7 & 11.7381 & -6.03813 \tabularnewline
58 & 14.3 & 12.0047 & 2.2953 \tabularnewline
59 & 8 & 9.05049 & -1.05049 \tabularnewline
60 & 13.3 & 12.3125 & 0.987479 \tabularnewline
61 & 9.3 & 13.3592 & -4.05916 \tabularnewline
62 & 12.5 & 11.6785 & 0.821549 \tabularnewline
63 & 7.6 & 11.2512 & -3.65117 \tabularnewline
64 & 15.9 & 14.0374 & 1.86264 \tabularnewline
65 & 9.2 & 11.6041 & -2.40408 \tabularnewline
66 & 9.1 & 10.731 & -1.63101 \tabularnewline
67 & 11.1 & 13.8757 & -2.77574 \tabularnewline
68 & 13 & 14.1361 & -1.1361 \tabularnewline
69 & 14.5 & 12.6164 & 1.88361 \tabularnewline
70 & 12.2 & 11.1193 & 1.08066 \tabularnewline
71 & 12.3 & 13.6431 & -1.34313 \tabularnewline
72 & 11.4 & 11.3245 & 0.0755318 \tabularnewline
73 & 8.8 & 11.6677 & -2.86772 \tabularnewline
74 & 14.6 & 11.4488 & 3.15118 \tabularnewline
75 & 12.6 & 13.0081 & -0.408074 \tabularnewline
76 & 13 & 13.6365 & -0.636519 \tabularnewline
77 & 12.6 & 11.6608 & 0.939229 \tabularnewline
78 & 13.2 & 14.6941 & -1.49411 \tabularnewline
79 & 9.9 & 10.8467 & -0.946673 \tabularnewline
80 & 7.7 & 11.696 & -3.99598 \tabularnewline
81 & 10.5 & 10.7702 & -0.270183 \tabularnewline
82 & 13.4 & 10.2132 & 3.18678 \tabularnewline
83 & 10.9 & 11.9425 & -1.04251 \tabularnewline
84 & 4.3 & 10.1167 & -5.8167 \tabularnewline
85 & 10.3 & 10.7328 & -0.432778 \tabularnewline
86 & 11.8 & 11.8721 & -0.0720675 \tabularnewline
87 & 11.2 & 10.2432 & 0.95676 \tabularnewline
88 & 11.4 & 10.6346 & 0.765394 \tabularnewline
89 & 8.6 & 10.3736 & -1.77365 \tabularnewline
90 & 13.2 & 11.0299 & 2.17009 \tabularnewline
91 & 12.6 & 10.5993 & 2.00068 \tabularnewline
92 & 5.6 & 11.4408 & -5.8408 \tabularnewline
93 & 9.9 & 11.4462 & -1.54619 \tabularnewline
94 & 8.8 & 12.2228 & -3.42278 \tabularnewline
95 & 7.7 & 11.7027 & -4.00272 \tabularnewline
96 & 9 & 10.237 & -1.237 \tabularnewline
97 & 7.3 & 12.5596 & -5.25965 \tabularnewline
98 & 11.4 & 11.1245 & 0.275497 \tabularnewline
99 & 13.6 & 11.9229 & 1.67709 \tabularnewline
100 & 7.9 & 10.6375 & -2.73754 \tabularnewline
101 & 10.7 & 10.9486 & -0.248577 \tabularnewline
102 & 10.3 & 11.3806 & -1.08057 \tabularnewline
103 & 8.3 & 10.0832 & -1.78319 \tabularnewline
104 & 9.6 & 10.6265 & -1.0265 \tabularnewline
105 & 14.2 & 11.8234 & 2.37663 \tabularnewline
106 & 8.5 & 9.91961 & -1.41961 \tabularnewline
107 & 13.5 & 10.2531 & 3.24688 \tabularnewline
108 & 4.9 & 10.5182 & -5.61817 \tabularnewline
109 & 6.4 & 10.1253 & -3.7253 \tabularnewline
110 & 9.6 & 10.596 & -0.995998 \tabularnewline
111 & 11.6 & 10.637 & 0.962977 \tabularnewline
112 & 11.1 & 10.4329 & 0.667149 \tabularnewline
113 & 4.4 & 10.0398 & -5.63983 \tabularnewline
114 & 12.7 & 13.052 & -0.351968 \tabularnewline
115 & 18.1 & 14.7427 & 3.35725 \tabularnewline
116 & 17.9 & 15.1355 & 2.76454 \tabularnewline
117 & 16.6 & 16.9077 & -0.307711 \tabularnewline
118 & 12.6 & 9.89528 & 2.70472 \tabularnewline
119 & 17.1 & 22.4698 & -5.3698 \tabularnewline
120 & 19.1 & 15.5823 & 3.51767 \tabularnewline
121 & 16.1 & 18.8287 & -2.72866 \tabularnewline
122 & 13.4 & 10.4886 & 2.91136 \tabularnewline
123 & 18.4 & 17.8739 & 0.526104 \tabularnewline
124 & 14.7 & 10.7868 & 3.91323 \tabularnewline
125 & 10.6 & 14.5241 & -3.92415 \tabularnewline
126 & 12.6 & 13.2437 & -0.643719 \tabularnewline
127 & 16.2 & 15.1029 & 1.09709 \tabularnewline
128 & 13.6 & 16.6428 & -3.04281 \tabularnewline
129 & 18.9 & 15.4486 & 3.45138 \tabularnewline
130 & 14.1 & 12.3969 & 1.70308 \tabularnewline
131 & 14.5 & 12.0879 & 2.41207 \tabularnewline
132 & 16.2 & 17.7679 & -1.56793 \tabularnewline
133 & 14.8 & 13.2872 & 1.51278 \tabularnewline
134 & 14.8 & 13.678 & 1.12197 \tabularnewline
135 & 12.5 & 12.3455 & 0.154494 \tabularnewline
136 & 12.7 & 14.3907 & -1.69072 \tabularnewline
137 & 17.4 & 13.8678 & 3.53217 \tabularnewline
138 & 8.6 & 11.8102 & -3.21017 \tabularnewline
139 & 18.4 & 17.7176 & 0.682423 \tabularnewline
140 & 16.1 & 17.963 & -1.86298 \tabularnewline
141 & 11.6 & 11.7701 & -0.170146 \tabularnewline
142 & 17.8 & 11.8247 & 5.97525 \tabularnewline
143 & 15.3 & 12.5947 & 2.70534 \tabularnewline
144 & 17.7 & 16.1675 & 1.53252 \tabularnewline
145 & 16.4 & 15.0634 & 1.33656 \tabularnewline
146 & 17.7 & 15.3212 & 2.37881 \tabularnewline
147 & 13.6 & 12.4773 & 1.1227 \tabularnewline
148 & 14.4 & 13.2207 & 1.17933 \tabularnewline
149 & 14.8 & 16.998 & -2.19803 \tabularnewline
150 & 18.3 & 16.5059 & 1.79407 \tabularnewline
151 & 9.9 & 14.7805 & -4.88054 \tabularnewline
152 & 16 & 14.2948 & 1.70523 \tabularnewline
153 & 18.3 & 15.7085 & 2.59147 \tabularnewline
154 & 16.9 & 17.4478 & -0.547766 \tabularnewline
155 & 14.6 & 12.5331 & 2.06688 \tabularnewline
156 & 13.9 & 13.8189 & 0.0810625 \tabularnewline
157 & 19 & 16.5503 & 2.44971 \tabularnewline
158 & 15.6 & 14.5536 & 1.04643 \tabularnewline
159 & 14.9 & 17.674 & -2.77404 \tabularnewline
160 & 11.8 & 12.1644 & -0.364357 \tabularnewline
161 & 18.5 & 13.5091 & 4.99085 \tabularnewline
162 & 15.9 & 17.1997 & -1.29966 \tabularnewline
163 & 17.1 & 14.303 & 2.79702 \tabularnewline
164 & 16.1 & 10.8239 & 5.2761 \tabularnewline
165 & 19.9 & 15.4358 & 4.46415 \tabularnewline
166 & 11 & 10.2689 & 0.731054 \tabularnewline
167 & 18.5 & 16.1824 & 2.31756 \tabularnewline
168 & 15.1 & 10.5304 & 4.56962 \tabularnewline
169 & 15 & 15.2928 & -0.292807 \tabularnewline
170 & 11.4 & 14.1341 & -2.73405 \tabularnewline
171 & 16 & 14.8855 & 1.11447 \tabularnewline
172 & 18.1 & 13.3387 & 4.76133 \tabularnewline
173 & 14.6 & 13.3093 & 1.29073 \tabularnewline
174 & 15.4 & 16.2474 & -0.847427 \tabularnewline
175 & 15.4 & 16.2304 & -0.830372 \tabularnewline
176 & 17.6 & 13.5076 & 4.09244 \tabularnewline
177 & 13.4 & 13.956 & -0.555953 \tabularnewline
178 & 19.1 & 16.7086 & 2.39141 \tabularnewline
179 & 15.4 & 13.0883 & 2.31165 \tabularnewline
180 & 7.6 & 12.2891 & -4.68907 \tabularnewline
181 & 13.4 & 14.4072 & -1.00718 \tabularnewline
182 & 13.9 & 13.6589 & 0.241108 \tabularnewline
183 & 19.1 & 17.3801 & 1.71994 \tabularnewline
184 & 15.3 & 13.6158 & 1.68418 \tabularnewline
185 & 12.9 & 12.246 & 0.654002 \tabularnewline
186 & 16.1 & 14.0964 & 2.00358 \tabularnewline
187 & 17.4 & 12.3745 & 5.0255 \tabularnewline
188 & 13.2 & 12.4184 & 0.781556 \tabularnewline
189 & 12.2 & 9.68608 & 2.51392 \tabularnewline
190 & 12.6 & 12.3885 & 0.211516 \tabularnewline
191 & 10.4 & 11.7561 & -1.35606 \tabularnewline
192 & 15.4 & 12.0688 & 3.33117 \tabularnewline
193 & 9.6 & 10.7533 & -1.1533 \tabularnewline
194 & 18.2 & 12.6666 & 5.53337 \tabularnewline
195 & 13.6 & 12.251 & 1.34901 \tabularnewline
196 & 14.9 & 15.1945 & -0.294536 \tabularnewline
197 & 14.8 & 17.1909 & -2.39092 \tabularnewline
198 & 14.1 & 13.0386 & 1.06144 \tabularnewline
199 & 14.9 & 10.9626 & 3.93741 \tabularnewline
200 & 16.3 & 12.5582 & 3.74182 \tabularnewline
201 & 19.3 & 18.0745 & 1.22548 \tabularnewline
202 & 13.6 & 11.9773 & 1.62271 \tabularnewline
203 & 13.6 & 13.0177 & 0.582339 \tabularnewline
204 & 15.7 & 15.0745 & 0.625498 \tabularnewline
205 & 12.8 & 12.0179 & 0.782106 \tabularnewline
206 & 14.6 & 10.9994 & 3.60058 \tabularnewline
207 & 9.9 & 12.8277 & -2.92767 \tabularnewline
208 & 12.7 & 11.5049 & 1.19508 \tabularnewline
209 & 19.2 & 15.8588 & 3.34119 \tabularnewline
210 & 16.6 & 14.298 & 2.302 \tabularnewline
211 & 11.2 & 10.1351 & 1.06491 \tabularnewline
212 & 15.3 & 12.9081 & 2.39187 \tabularnewline
213 & 11.9 & 14.5458 & -2.64578 \tabularnewline
214 & 13.2 & 15.6526 & -2.45257 \tabularnewline
215 & 16.4 & 17.4204 & -1.02045 \tabularnewline
216 & 12.4 & 13.0236 & -0.623618 \tabularnewline
217 & 15.9 & 12.9187 & 2.98127 \tabularnewline
218 & 18.2 & 14.8842 & 3.3158 \tabularnewline
219 & 11.2 & 11.5857 & -0.385716 \tabularnewline
220 & 15.7 & 15.8888 & -0.188842 \tabularnewline
221 & 17.8 & 15.681 & 2.11904 \tabularnewline
222 & 7.7 & 11.8927 & -4.1927 \tabularnewline
223 & 12.4 & 12.1277 & 0.272281 \tabularnewline
224 & 15.6 & 11.3011 & 4.29886 \tabularnewline
225 & 19.3 & 16.1821 & 3.1179 \tabularnewline
226 & 15.2 & 12.0097 & 3.1903 \tabularnewline
227 & 17.1 & 13.0702 & 4.02977 \tabularnewline
228 & 15.6 & 12.3314 & 3.26864 \tabularnewline
229 & 18.4 & 15.1299 & 3.27014 \tabularnewline
230 & 19.1 & 15.0692 & 4.03075 \tabularnewline
231 & 18.6 & 12.0523 & 6.5477 \tabularnewline
232 & 19.1 & 17.1102 & 1.98985 \tabularnewline
233 & 13.1 & 11.528 & 1.57199 \tabularnewline
234 & 12.9 & 12.9308 & -0.0307682 \tabularnewline
235 & 9.5 & 10.4616 & -0.961627 \tabularnewline
236 & 4.5 & 11.2082 & -6.70818 \tabularnewline
237 & 11.9 & 10.6015 & 1.29853 \tabularnewline
238 & 13.6 & 15.3506 & -1.75056 \tabularnewline
239 & 11.7 & 12.9233 & -1.22326 \tabularnewline
240 & 12.4 & 10.7455 & 1.65453 \tabularnewline
241 & 13.4 & 14.8813 & -1.48129 \tabularnewline
242 & 11.4 & 13.4166 & -2.01658 \tabularnewline
243 & 14.9 & 11.3868 & 3.51323 \tabularnewline
244 & 19.9 & 15.4444 & 4.45562 \tabularnewline
245 & 11.2 & 12.0404 & -0.840416 \tabularnewline
246 & 14.6 & 15.4175 & -0.817499 \tabularnewline
247 & 17.6 & 16.1363 & 1.46374 \tabularnewline
248 & 14.1 & 12.4584 & 1.6416 \tabularnewline
249 & 16.1 & 15.4794 & 0.620621 \tabularnewline
250 & 13.4 & 12.8813 & 0.518742 \tabularnewline
251 & 11.9 & 12.2729 & -0.372873 \tabularnewline
252 & 12 & 14.3165 & -2.31652 \tabularnewline
253 & 14.8 & 14.7811 & 0.0189155 \tabularnewline
254 & 15.2 & 13.3223 & 1.87772 \tabularnewline
255 & 13.2 & 14.3174 & -1.11745 \tabularnewline
256 & 16.9 & 15.5758 & 1.32419 \tabularnewline
257 & 7.9 & 9.96272 & -2.06272 \tabularnewline
258 & 7.7 & 14.3245 & -6.6245 \tabularnewline
259 & 12.6 & 11.4628 & 1.13716 \tabularnewline
260 & 7.9 & 11.2563 & -3.35625 \tabularnewline
261 & 11 & 10.3628 & 0.637248 \tabularnewline
262 & 12.4 & 12.314 & 0.0859892 \tabularnewline
263 & 10 & 11.9514 & -1.95142 \tabularnewline
264 & 14.9 & 11.3953 & 3.5047 \tabularnewline
265 & 16.7 & 14.2809 & 2.41907 \tabularnewline
266 & 13.4 & 13.2351 & 0.164949 \tabularnewline
267 & 14 & 13.461 & 0.539012 \tabularnewline
268 & 15.7 & 10.577 & 5.12296 \tabularnewline
269 & 16.9 & 12.4488 & 4.45122 \tabularnewline
270 & 11 & 10.2664 & 0.733594 \tabularnewline
271 & 15.4 & 11.1318 & 4.26821 \tabularnewline
272 & 12.2 & 10.9241 & 1.27594 \tabularnewline
273 & 15.1 & 13.0789 & 2.02112 \tabularnewline
274 & 17.8 & 16.5825 & 1.21751 \tabularnewline
275 & 15.2 & 12.6614 & 2.53856 \tabularnewline
276 & 14.6 & 13.4236 & 1.17641 \tabularnewline
277 & 16.7 & 14.818 & 1.88202 \tabularnewline
278 & 8.1 & 11.1709 & -3.07085 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270400&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]12.9[/C][C]12.7792[/C][C]0.12082[/C][/ROW]
[ROW][C]2[/C][C]12.2[/C][C]11.8335[/C][C]0.366486[/C][/ROW]
[ROW][C]3[/C][C]12.8[/C][C]12.4671[/C][C]0.332883[/C][/ROW]
[ROW][C]4[/C][C]7.4[/C][C]12.5382[/C][C]-5.13825[/C][/ROW]
[ROW][C]5[/C][C]6.7[/C][C]11.7406[/C][C]-5.04062[/C][/ROW]
[ROW][C]6[/C][C]12.6[/C][C]14.9098[/C][C]-2.30977[/C][/ROW]
[ROW][C]7[/C][C]14.8[/C][C]12.8047[/C][C]1.99535[/C][/ROW]
[ROW][C]8[/C][C]13.3[/C][C]12.8253[/C][C]0.474684[/C][/ROW]
[ROW][C]9[/C][C]11.1[/C][C]12.1292[/C][C]-1.02917[/C][/ROW]
[ROW][C]10[/C][C]8.2[/C][C]14.1293[/C][C]-5.92928[/C][/ROW]
[ROW][C]11[/C][C]11.4[/C][C]13.1665[/C][C]-1.76654[/C][/ROW]
[ROW][C]12[/C][C]6.4[/C][C]14.2158[/C][C]-7.81584[/C][/ROW]
[ROW][C]13[/C][C]10.6[/C][C]11.5135[/C][C]-0.913514[/C][/ROW]
[ROW][C]14[/C][C]12[/C][C]13.4752[/C][C]-1.47516[/C][/ROW]
[ROW][C]15[/C][C]6.3[/C][C]9.47653[/C][C]-3.17653[/C][/ROW]
[ROW][C]16[/C][C]11.3[/C][C]10.9111[/C][C]0.388912[/C][/ROW]
[ROW][C]17[/C][C]11.9[/C][C]13.9528[/C][C]-2.05281[/C][/ROW]
[ROW][C]18[/C][C]9.3[/C][C]12.0512[/C][C]-2.75115[/C][/ROW]
[ROW][C]19[/C][C]9.6[/C][C]12.3668[/C][C]-2.76684[/C][/ROW]
[ROW][C]20[/C][C]10[/C][C]11.1795[/C][C]-1.17948[/C][/ROW]
[ROW][C]21[/C][C]6.4[/C][C]11.1609[/C][C]-4.76089[/C][/ROW]
[ROW][C]22[/C][C]13.8[/C][C]12.3691[/C][C]1.43092[/C][/ROW]
[ROW][C]23[/C][C]10.8[/C][C]13.2795[/C][C]-2.47954[/C][/ROW]
[ROW][C]24[/C][C]13.8[/C][C]12.4412[/C][C]1.35885[/C][/ROW]
[ROW][C]25[/C][C]11.7[/C][C]12.8485[/C][C]-1.14855[/C][/ROW]
[ROW][C]26[/C][C]10.9[/C][C]14.7323[/C][C]-3.83226[/C][/ROW]
[ROW][C]27[/C][C]16.1[/C][C]13.6806[/C][C]2.41944[/C][/ROW]
[ROW][C]28[/C][C]13.4[/C][C]11.2615[/C][C]2.13855[/C][/ROW]
[ROW][C]29[/C][C]9.9[/C][C]11.5522[/C][C]-1.65222[/C][/ROW]
[ROW][C]30[/C][C]11.5[/C][C]11.9361[/C][C]-0.436139[/C][/ROW]
[ROW][C]31[/C][C]8.3[/C][C]11.96[/C][C]-3.66005[/C][/ROW]
[ROW][C]32[/C][C]11.7[/C][C]13.3484[/C][C]-1.64843[/C][/ROW]
[ROW][C]33[/C][C]9[/C][C]12.4914[/C][C]-3.49142[/C][/ROW]
[ROW][C]34[/C][C]9.7[/C][C]14.0201[/C][C]-4.32005[/C][/ROW]
[ROW][C]35[/C][C]10.8[/C][C]12.5795[/C][C]-1.77946[/C][/ROW]
[ROW][C]36[/C][C]10.3[/C][C]12.7804[/C][C]-2.48037[/C][/ROW]
[ROW][C]37[/C][C]10.4[/C][C]11.4961[/C][C]-1.09612[/C][/ROW]
[ROW][C]38[/C][C]12.7[/C][C]12.1044[/C][C]0.595606[/C][/ROW]
[ROW][C]39[/C][C]9.3[/C][C]12.2741[/C][C]-2.9741[/C][/ROW]
[ROW][C]40[/C][C]11.8[/C][C]14.7046[/C][C]-2.9046[/C][/ROW]
[ROW][C]41[/C][C]5.9[/C][C]11.0554[/C][C]-5.15535[/C][/ROW]
[ROW][C]42[/C][C]11.4[/C][C]14.0855[/C][C]-2.68551[/C][/ROW]
[ROW][C]43[/C][C]13[/C][C]11.969[/C][C]1.03104[/C][/ROW]
[ROW][C]44[/C][C]10.8[/C][C]13.0072[/C][C]-2.20722[/C][/ROW]
[ROW][C]45[/C][C]12.3[/C][C]10.5203[/C][C]1.77972[/C][/ROW]
[ROW][C]46[/C][C]11.3[/C][C]13.5687[/C][C]-2.26875[/C][/ROW]
[ROW][C]47[/C][C]11.8[/C][C]12.4303[/C][C]-0.630307[/C][/ROW]
[ROW][C]48[/C][C]7.9[/C][C]10.819[/C][C]-2.91899[/C][/ROW]
[ROW][C]49[/C][C]12.7[/C][C]10.1631[/C][C]2.53694[/C][/ROW]
[ROW][C]50[/C][C]12.3[/C][C]10.9948[/C][C]1.30517[/C][/ROW]
[ROW][C]51[/C][C]11.6[/C][C]12.0638[/C][C]-0.463849[/C][/ROW]
[ROW][C]52[/C][C]6.7[/C][C]10.9433[/C][C]-4.24331[/C][/ROW]
[ROW][C]53[/C][C]10.9[/C][C]13.1993[/C][C]-2.29929[/C][/ROW]
[ROW][C]54[/C][C]12.1[/C][C]12.3678[/C][C]-0.267753[/C][/ROW]
[ROW][C]55[/C][C]13.3[/C][C]13.1277[/C][C]0.172255[/C][/ROW]
[ROW][C]56[/C][C]10.1[/C][C]13.6507[/C][C]-3.55066[/C][/ROW]
[ROW][C]57[/C][C]5.7[/C][C]11.7381[/C][C]-6.03813[/C][/ROW]
[ROW][C]58[/C][C]14.3[/C][C]12.0047[/C][C]2.2953[/C][/ROW]
[ROW][C]59[/C][C]8[/C][C]9.05049[/C][C]-1.05049[/C][/ROW]
[ROW][C]60[/C][C]13.3[/C][C]12.3125[/C][C]0.987479[/C][/ROW]
[ROW][C]61[/C][C]9.3[/C][C]13.3592[/C][C]-4.05916[/C][/ROW]
[ROW][C]62[/C][C]12.5[/C][C]11.6785[/C][C]0.821549[/C][/ROW]
[ROW][C]63[/C][C]7.6[/C][C]11.2512[/C][C]-3.65117[/C][/ROW]
[ROW][C]64[/C][C]15.9[/C][C]14.0374[/C][C]1.86264[/C][/ROW]
[ROW][C]65[/C][C]9.2[/C][C]11.6041[/C][C]-2.40408[/C][/ROW]
[ROW][C]66[/C][C]9.1[/C][C]10.731[/C][C]-1.63101[/C][/ROW]
[ROW][C]67[/C][C]11.1[/C][C]13.8757[/C][C]-2.77574[/C][/ROW]
[ROW][C]68[/C][C]13[/C][C]14.1361[/C][C]-1.1361[/C][/ROW]
[ROW][C]69[/C][C]14.5[/C][C]12.6164[/C][C]1.88361[/C][/ROW]
[ROW][C]70[/C][C]12.2[/C][C]11.1193[/C][C]1.08066[/C][/ROW]
[ROW][C]71[/C][C]12.3[/C][C]13.6431[/C][C]-1.34313[/C][/ROW]
[ROW][C]72[/C][C]11.4[/C][C]11.3245[/C][C]0.0755318[/C][/ROW]
[ROW][C]73[/C][C]8.8[/C][C]11.6677[/C][C]-2.86772[/C][/ROW]
[ROW][C]74[/C][C]14.6[/C][C]11.4488[/C][C]3.15118[/C][/ROW]
[ROW][C]75[/C][C]12.6[/C][C]13.0081[/C][C]-0.408074[/C][/ROW]
[ROW][C]76[/C][C]13[/C][C]13.6365[/C][C]-0.636519[/C][/ROW]
[ROW][C]77[/C][C]12.6[/C][C]11.6608[/C][C]0.939229[/C][/ROW]
[ROW][C]78[/C][C]13.2[/C][C]14.6941[/C][C]-1.49411[/C][/ROW]
[ROW][C]79[/C][C]9.9[/C][C]10.8467[/C][C]-0.946673[/C][/ROW]
[ROW][C]80[/C][C]7.7[/C][C]11.696[/C][C]-3.99598[/C][/ROW]
[ROW][C]81[/C][C]10.5[/C][C]10.7702[/C][C]-0.270183[/C][/ROW]
[ROW][C]82[/C][C]13.4[/C][C]10.2132[/C][C]3.18678[/C][/ROW]
[ROW][C]83[/C][C]10.9[/C][C]11.9425[/C][C]-1.04251[/C][/ROW]
[ROW][C]84[/C][C]4.3[/C][C]10.1167[/C][C]-5.8167[/C][/ROW]
[ROW][C]85[/C][C]10.3[/C][C]10.7328[/C][C]-0.432778[/C][/ROW]
[ROW][C]86[/C][C]11.8[/C][C]11.8721[/C][C]-0.0720675[/C][/ROW]
[ROW][C]87[/C][C]11.2[/C][C]10.2432[/C][C]0.95676[/C][/ROW]
[ROW][C]88[/C][C]11.4[/C][C]10.6346[/C][C]0.765394[/C][/ROW]
[ROW][C]89[/C][C]8.6[/C][C]10.3736[/C][C]-1.77365[/C][/ROW]
[ROW][C]90[/C][C]13.2[/C][C]11.0299[/C][C]2.17009[/C][/ROW]
[ROW][C]91[/C][C]12.6[/C][C]10.5993[/C][C]2.00068[/C][/ROW]
[ROW][C]92[/C][C]5.6[/C][C]11.4408[/C][C]-5.8408[/C][/ROW]
[ROW][C]93[/C][C]9.9[/C][C]11.4462[/C][C]-1.54619[/C][/ROW]
[ROW][C]94[/C][C]8.8[/C][C]12.2228[/C][C]-3.42278[/C][/ROW]
[ROW][C]95[/C][C]7.7[/C][C]11.7027[/C][C]-4.00272[/C][/ROW]
[ROW][C]96[/C][C]9[/C][C]10.237[/C][C]-1.237[/C][/ROW]
[ROW][C]97[/C][C]7.3[/C][C]12.5596[/C][C]-5.25965[/C][/ROW]
[ROW][C]98[/C][C]11.4[/C][C]11.1245[/C][C]0.275497[/C][/ROW]
[ROW][C]99[/C][C]13.6[/C][C]11.9229[/C][C]1.67709[/C][/ROW]
[ROW][C]100[/C][C]7.9[/C][C]10.6375[/C][C]-2.73754[/C][/ROW]
[ROW][C]101[/C][C]10.7[/C][C]10.9486[/C][C]-0.248577[/C][/ROW]
[ROW][C]102[/C][C]10.3[/C][C]11.3806[/C][C]-1.08057[/C][/ROW]
[ROW][C]103[/C][C]8.3[/C][C]10.0832[/C][C]-1.78319[/C][/ROW]
[ROW][C]104[/C][C]9.6[/C][C]10.6265[/C][C]-1.0265[/C][/ROW]
[ROW][C]105[/C][C]14.2[/C][C]11.8234[/C][C]2.37663[/C][/ROW]
[ROW][C]106[/C][C]8.5[/C][C]9.91961[/C][C]-1.41961[/C][/ROW]
[ROW][C]107[/C][C]13.5[/C][C]10.2531[/C][C]3.24688[/C][/ROW]
[ROW][C]108[/C][C]4.9[/C][C]10.5182[/C][C]-5.61817[/C][/ROW]
[ROW][C]109[/C][C]6.4[/C][C]10.1253[/C][C]-3.7253[/C][/ROW]
[ROW][C]110[/C][C]9.6[/C][C]10.596[/C][C]-0.995998[/C][/ROW]
[ROW][C]111[/C][C]11.6[/C][C]10.637[/C][C]0.962977[/C][/ROW]
[ROW][C]112[/C][C]11.1[/C][C]10.4329[/C][C]0.667149[/C][/ROW]
[ROW][C]113[/C][C]4.4[/C][C]10.0398[/C][C]-5.63983[/C][/ROW]
[ROW][C]114[/C][C]12.7[/C][C]13.052[/C][C]-0.351968[/C][/ROW]
[ROW][C]115[/C][C]18.1[/C][C]14.7427[/C][C]3.35725[/C][/ROW]
[ROW][C]116[/C][C]17.9[/C][C]15.1355[/C][C]2.76454[/C][/ROW]
[ROW][C]117[/C][C]16.6[/C][C]16.9077[/C][C]-0.307711[/C][/ROW]
[ROW][C]118[/C][C]12.6[/C][C]9.89528[/C][C]2.70472[/C][/ROW]
[ROW][C]119[/C][C]17.1[/C][C]22.4698[/C][C]-5.3698[/C][/ROW]
[ROW][C]120[/C][C]19.1[/C][C]15.5823[/C][C]3.51767[/C][/ROW]
[ROW][C]121[/C][C]16.1[/C][C]18.8287[/C][C]-2.72866[/C][/ROW]
[ROW][C]122[/C][C]13.4[/C][C]10.4886[/C][C]2.91136[/C][/ROW]
[ROW][C]123[/C][C]18.4[/C][C]17.8739[/C][C]0.526104[/C][/ROW]
[ROW][C]124[/C][C]14.7[/C][C]10.7868[/C][C]3.91323[/C][/ROW]
[ROW][C]125[/C][C]10.6[/C][C]14.5241[/C][C]-3.92415[/C][/ROW]
[ROW][C]126[/C][C]12.6[/C][C]13.2437[/C][C]-0.643719[/C][/ROW]
[ROW][C]127[/C][C]16.2[/C][C]15.1029[/C][C]1.09709[/C][/ROW]
[ROW][C]128[/C][C]13.6[/C][C]16.6428[/C][C]-3.04281[/C][/ROW]
[ROW][C]129[/C][C]18.9[/C][C]15.4486[/C][C]3.45138[/C][/ROW]
[ROW][C]130[/C][C]14.1[/C][C]12.3969[/C][C]1.70308[/C][/ROW]
[ROW][C]131[/C][C]14.5[/C][C]12.0879[/C][C]2.41207[/C][/ROW]
[ROW][C]132[/C][C]16.2[/C][C]17.7679[/C][C]-1.56793[/C][/ROW]
[ROW][C]133[/C][C]14.8[/C][C]13.2872[/C][C]1.51278[/C][/ROW]
[ROW][C]134[/C][C]14.8[/C][C]13.678[/C][C]1.12197[/C][/ROW]
[ROW][C]135[/C][C]12.5[/C][C]12.3455[/C][C]0.154494[/C][/ROW]
[ROW][C]136[/C][C]12.7[/C][C]14.3907[/C][C]-1.69072[/C][/ROW]
[ROW][C]137[/C][C]17.4[/C][C]13.8678[/C][C]3.53217[/C][/ROW]
[ROW][C]138[/C][C]8.6[/C][C]11.8102[/C][C]-3.21017[/C][/ROW]
[ROW][C]139[/C][C]18.4[/C][C]17.7176[/C][C]0.682423[/C][/ROW]
[ROW][C]140[/C][C]16.1[/C][C]17.963[/C][C]-1.86298[/C][/ROW]
[ROW][C]141[/C][C]11.6[/C][C]11.7701[/C][C]-0.170146[/C][/ROW]
[ROW][C]142[/C][C]17.8[/C][C]11.8247[/C][C]5.97525[/C][/ROW]
[ROW][C]143[/C][C]15.3[/C][C]12.5947[/C][C]2.70534[/C][/ROW]
[ROW][C]144[/C][C]17.7[/C][C]16.1675[/C][C]1.53252[/C][/ROW]
[ROW][C]145[/C][C]16.4[/C][C]15.0634[/C][C]1.33656[/C][/ROW]
[ROW][C]146[/C][C]17.7[/C][C]15.3212[/C][C]2.37881[/C][/ROW]
[ROW][C]147[/C][C]13.6[/C][C]12.4773[/C][C]1.1227[/C][/ROW]
[ROW][C]148[/C][C]14.4[/C][C]13.2207[/C][C]1.17933[/C][/ROW]
[ROW][C]149[/C][C]14.8[/C][C]16.998[/C][C]-2.19803[/C][/ROW]
[ROW][C]150[/C][C]18.3[/C][C]16.5059[/C][C]1.79407[/C][/ROW]
[ROW][C]151[/C][C]9.9[/C][C]14.7805[/C][C]-4.88054[/C][/ROW]
[ROW][C]152[/C][C]16[/C][C]14.2948[/C][C]1.70523[/C][/ROW]
[ROW][C]153[/C][C]18.3[/C][C]15.7085[/C][C]2.59147[/C][/ROW]
[ROW][C]154[/C][C]16.9[/C][C]17.4478[/C][C]-0.547766[/C][/ROW]
[ROW][C]155[/C][C]14.6[/C][C]12.5331[/C][C]2.06688[/C][/ROW]
[ROW][C]156[/C][C]13.9[/C][C]13.8189[/C][C]0.0810625[/C][/ROW]
[ROW][C]157[/C][C]19[/C][C]16.5503[/C][C]2.44971[/C][/ROW]
[ROW][C]158[/C][C]15.6[/C][C]14.5536[/C][C]1.04643[/C][/ROW]
[ROW][C]159[/C][C]14.9[/C][C]17.674[/C][C]-2.77404[/C][/ROW]
[ROW][C]160[/C][C]11.8[/C][C]12.1644[/C][C]-0.364357[/C][/ROW]
[ROW][C]161[/C][C]18.5[/C][C]13.5091[/C][C]4.99085[/C][/ROW]
[ROW][C]162[/C][C]15.9[/C][C]17.1997[/C][C]-1.29966[/C][/ROW]
[ROW][C]163[/C][C]17.1[/C][C]14.303[/C][C]2.79702[/C][/ROW]
[ROW][C]164[/C][C]16.1[/C][C]10.8239[/C][C]5.2761[/C][/ROW]
[ROW][C]165[/C][C]19.9[/C][C]15.4358[/C][C]4.46415[/C][/ROW]
[ROW][C]166[/C][C]11[/C][C]10.2689[/C][C]0.731054[/C][/ROW]
[ROW][C]167[/C][C]18.5[/C][C]16.1824[/C][C]2.31756[/C][/ROW]
[ROW][C]168[/C][C]15.1[/C][C]10.5304[/C][C]4.56962[/C][/ROW]
[ROW][C]169[/C][C]15[/C][C]15.2928[/C][C]-0.292807[/C][/ROW]
[ROW][C]170[/C][C]11.4[/C][C]14.1341[/C][C]-2.73405[/C][/ROW]
[ROW][C]171[/C][C]16[/C][C]14.8855[/C][C]1.11447[/C][/ROW]
[ROW][C]172[/C][C]18.1[/C][C]13.3387[/C][C]4.76133[/C][/ROW]
[ROW][C]173[/C][C]14.6[/C][C]13.3093[/C][C]1.29073[/C][/ROW]
[ROW][C]174[/C][C]15.4[/C][C]16.2474[/C][C]-0.847427[/C][/ROW]
[ROW][C]175[/C][C]15.4[/C][C]16.2304[/C][C]-0.830372[/C][/ROW]
[ROW][C]176[/C][C]17.6[/C][C]13.5076[/C][C]4.09244[/C][/ROW]
[ROW][C]177[/C][C]13.4[/C][C]13.956[/C][C]-0.555953[/C][/ROW]
[ROW][C]178[/C][C]19.1[/C][C]16.7086[/C][C]2.39141[/C][/ROW]
[ROW][C]179[/C][C]15.4[/C][C]13.0883[/C][C]2.31165[/C][/ROW]
[ROW][C]180[/C][C]7.6[/C][C]12.2891[/C][C]-4.68907[/C][/ROW]
[ROW][C]181[/C][C]13.4[/C][C]14.4072[/C][C]-1.00718[/C][/ROW]
[ROW][C]182[/C][C]13.9[/C][C]13.6589[/C][C]0.241108[/C][/ROW]
[ROW][C]183[/C][C]19.1[/C][C]17.3801[/C][C]1.71994[/C][/ROW]
[ROW][C]184[/C][C]15.3[/C][C]13.6158[/C][C]1.68418[/C][/ROW]
[ROW][C]185[/C][C]12.9[/C][C]12.246[/C][C]0.654002[/C][/ROW]
[ROW][C]186[/C][C]16.1[/C][C]14.0964[/C][C]2.00358[/C][/ROW]
[ROW][C]187[/C][C]17.4[/C][C]12.3745[/C][C]5.0255[/C][/ROW]
[ROW][C]188[/C][C]13.2[/C][C]12.4184[/C][C]0.781556[/C][/ROW]
[ROW][C]189[/C][C]12.2[/C][C]9.68608[/C][C]2.51392[/C][/ROW]
[ROW][C]190[/C][C]12.6[/C][C]12.3885[/C][C]0.211516[/C][/ROW]
[ROW][C]191[/C][C]10.4[/C][C]11.7561[/C][C]-1.35606[/C][/ROW]
[ROW][C]192[/C][C]15.4[/C][C]12.0688[/C][C]3.33117[/C][/ROW]
[ROW][C]193[/C][C]9.6[/C][C]10.7533[/C][C]-1.1533[/C][/ROW]
[ROW][C]194[/C][C]18.2[/C][C]12.6666[/C][C]5.53337[/C][/ROW]
[ROW][C]195[/C][C]13.6[/C][C]12.251[/C][C]1.34901[/C][/ROW]
[ROW][C]196[/C][C]14.9[/C][C]15.1945[/C][C]-0.294536[/C][/ROW]
[ROW][C]197[/C][C]14.8[/C][C]17.1909[/C][C]-2.39092[/C][/ROW]
[ROW][C]198[/C][C]14.1[/C][C]13.0386[/C][C]1.06144[/C][/ROW]
[ROW][C]199[/C][C]14.9[/C][C]10.9626[/C][C]3.93741[/C][/ROW]
[ROW][C]200[/C][C]16.3[/C][C]12.5582[/C][C]3.74182[/C][/ROW]
[ROW][C]201[/C][C]19.3[/C][C]18.0745[/C][C]1.22548[/C][/ROW]
[ROW][C]202[/C][C]13.6[/C][C]11.9773[/C][C]1.62271[/C][/ROW]
[ROW][C]203[/C][C]13.6[/C][C]13.0177[/C][C]0.582339[/C][/ROW]
[ROW][C]204[/C][C]15.7[/C][C]15.0745[/C][C]0.625498[/C][/ROW]
[ROW][C]205[/C][C]12.8[/C][C]12.0179[/C][C]0.782106[/C][/ROW]
[ROW][C]206[/C][C]14.6[/C][C]10.9994[/C][C]3.60058[/C][/ROW]
[ROW][C]207[/C][C]9.9[/C][C]12.8277[/C][C]-2.92767[/C][/ROW]
[ROW][C]208[/C][C]12.7[/C][C]11.5049[/C][C]1.19508[/C][/ROW]
[ROW][C]209[/C][C]19.2[/C][C]15.8588[/C][C]3.34119[/C][/ROW]
[ROW][C]210[/C][C]16.6[/C][C]14.298[/C][C]2.302[/C][/ROW]
[ROW][C]211[/C][C]11.2[/C][C]10.1351[/C][C]1.06491[/C][/ROW]
[ROW][C]212[/C][C]15.3[/C][C]12.9081[/C][C]2.39187[/C][/ROW]
[ROW][C]213[/C][C]11.9[/C][C]14.5458[/C][C]-2.64578[/C][/ROW]
[ROW][C]214[/C][C]13.2[/C][C]15.6526[/C][C]-2.45257[/C][/ROW]
[ROW][C]215[/C][C]16.4[/C][C]17.4204[/C][C]-1.02045[/C][/ROW]
[ROW][C]216[/C][C]12.4[/C][C]13.0236[/C][C]-0.623618[/C][/ROW]
[ROW][C]217[/C][C]15.9[/C][C]12.9187[/C][C]2.98127[/C][/ROW]
[ROW][C]218[/C][C]18.2[/C][C]14.8842[/C][C]3.3158[/C][/ROW]
[ROW][C]219[/C][C]11.2[/C][C]11.5857[/C][C]-0.385716[/C][/ROW]
[ROW][C]220[/C][C]15.7[/C][C]15.8888[/C][C]-0.188842[/C][/ROW]
[ROW][C]221[/C][C]17.8[/C][C]15.681[/C][C]2.11904[/C][/ROW]
[ROW][C]222[/C][C]7.7[/C][C]11.8927[/C][C]-4.1927[/C][/ROW]
[ROW][C]223[/C][C]12.4[/C][C]12.1277[/C][C]0.272281[/C][/ROW]
[ROW][C]224[/C][C]15.6[/C][C]11.3011[/C][C]4.29886[/C][/ROW]
[ROW][C]225[/C][C]19.3[/C][C]16.1821[/C][C]3.1179[/C][/ROW]
[ROW][C]226[/C][C]15.2[/C][C]12.0097[/C][C]3.1903[/C][/ROW]
[ROW][C]227[/C][C]17.1[/C][C]13.0702[/C][C]4.02977[/C][/ROW]
[ROW][C]228[/C][C]15.6[/C][C]12.3314[/C][C]3.26864[/C][/ROW]
[ROW][C]229[/C][C]18.4[/C][C]15.1299[/C][C]3.27014[/C][/ROW]
[ROW][C]230[/C][C]19.1[/C][C]15.0692[/C][C]4.03075[/C][/ROW]
[ROW][C]231[/C][C]18.6[/C][C]12.0523[/C][C]6.5477[/C][/ROW]
[ROW][C]232[/C][C]19.1[/C][C]17.1102[/C][C]1.98985[/C][/ROW]
[ROW][C]233[/C][C]13.1[/C][C]11.528[/C][C]1.57199[/C][/ROW]
[ROW][C]234[/C][C]12.9[/C][C]12.9308[/C][C]-0.0307682[/C][/ROW]
[ROW][C]235[/C][C]9.5[/C][C]10.4616[/C][C]-0.961627[/C][/ROW]
[ROW][C]236[/C][C]4.5[/C][C]11.2082[/C][C]-6.70818[/C][/ROW]
[ROW][C]237[/C][C]11.9[/C][C]10.6015[/C][C]1.29853[/C][/ROW]
[ROW][C]238[/C][C]13.6[/C][C]15.3506[/C][C]-1.75056[/C][/ROW]
[ROW][C]239[/C][C]11.7[/C][C]12.9233[/C][C]-1.22326[/C][/ROW]
[ROW][C]240[/C][C]12.4[/C][C]10.7455[/C][C]1.65453[/C][/ROW]
[ROW][C]241[/C][C]13.4[/C][C]14.8813[/C][C]-1.48129[/C][/ROW]
[ROW][C]242[/C][C]11.4[/C][C]13.4166[/C][C]-2.01658[/C][/ROW]
[ROW][C]243[/C][C]14.9[/C][C]11.3868[/C][C]3.51323[/C][/ROW]
[ROW][C]244[/C][C]19.9[/C][C]15.4444[/C][C]4.45562[/C][/ROW]
[ROW][C]245[/C][C]11.2[/C][C]12.0404[/C][C]-0.840416[/C][/ROW]
[ROW][C]246[/C][C]14.6[/C][C]15.4175[/C][C]-0.817499[/C][/ROW]
[ROW][C]247[/C][C]17.6[/C][C]16.1363[/C][C]1.46374[/C][/ROW]
[ROW][C]248[/C][C]14.1[/C][C]12.4584[/C][C]1.6416[/C][/ROW]
[ROW][C]249[/C][C]16.1[/C][C]15.4794[/C][C]0.620621[/C][/ROW]
[ROW][C]250[/C][C]13.4[/C][C]12.8813[/C][C]0.518742[/C][/ROW]
[ROW][C]251[/C][C]11.9[/C][C]12.2729[/C][C]-0.372873[/C][/ROW]
[ROW][C]252[/C][C]12[/C][C]14.3165[/C][C]-2.31652[/C][/ROW]
[ROW][C]253[/C][C]14.8[/C][C]14.7811[/C][C]0.0189155[/C][/ROW]
[ROW][C]254[/C][C]15.2[/C][C]13.3223[/C][C]1.87772[/C][/ROW]
[ROW][C]255[/C][C]13.2[/C][C]14.3174[/C][C]-1.11745[/C][/ROW]
[ROW][C]256[/C][C]16.9[/C][C]15.5758[/C][C]1.32419[/C][/ROW]
[ROW][C]257[/C][C]7.9[/C][C]9.96272[/C][C]-2.06272[/C][/ROW]
[ROW][C]258[/C][C]7.7[/C][C]14.3245[/C][C]-6.6245[/C][/ROW]
[ROW][C]259[/C][C]12.6[/C][C]11.4628[/C][C]1.13716[/C][/ROW]
[ROW][C]260[/C][C]7.9[/C][C]11.2563[/C][C]-3.35625[/C][/ROW]
[ROW][C]261[/C][C]11[/C][C]10.3628[/C][C]0.637248[/C][/ROW]
[ROW][C]262[/C][C]12.4[/C][C]12.314[/C][C]0.0859892[/C][/ROW]
[ROW][C]263[/C][C]10[/C][C]11.9514[/C][C]-1.95142[/C][/ROW]
[ROW][C]264[/C][C]14.9[/C][C]11.3953[/C][C]3.5047[/C][/ROW]
[ROW][C]265[/C][C]16.7[/C][C]14.2809[/C][C]2.41907[/C][/ROW]
[ROW][C]266[/C][C]13.4[/C][C]13.2351[/C][C]0.164949[/C][/ROW]
[ROW][C]267[/C][C]14[/C][C]13.461[/C][C]0.539012[/C][/ROW]
[ROW][C]268[/C][C]15.7[/C][C]10.577[/C][C]5.12296[/C][/ROW]
[ROW][C]269[/C][C]16.9[/C][C]12.4488[/C][C]4.45122[/C][/ROW]
[ROW][C]270[/C][C]11[/C][C]10.2664[/C][C]0.733594[/C][/ROW]
[ROW][C]271[/C][C]15.4[/C][C]11.1318[/C][C]4.26821[/C][/ROW]
[ROW][C]272[/C][C]12.2[/C][C]10.9241[/C][C]1.27594[/C][/ROW]
[ROW][C]273[/C][C]15.1[/C][C]13.0789[/C][C]2.02112[/C][/ROW]
[ROW][C]274[/C][C]17.8[/C][C]16.5825[/C][C]1.21751[/C][/ROW]
[ROW][C]275[/C][C]15.2[/C][C]12.6614[/C][C]2.53856[/C][/ROW]
[ROW][C]276[/C][C]14.6[/C][C]13.4236[/C][C]1.17641[/C][/ROW]
[ROW][C]277[/C][C]16.7[/C][C]14.818[/C][C]1.88202[/C][/ROW]
[ROW][C]278[/C][C]8.1[/C][C]11.1709[/C][C]-3.07085[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270400&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270400&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
112.912.77920.12082
212.211.83350.366486
312.812.46710.332883
47.412.5382-5.13825
56.711.7406-5.04062
612.614.9098-2.30977
714.812.80471.99535
813.312.82530.474684
911.112.1292-1.02917
108.214.1293-5.92928
1111.413.1665-1.76654
126.414.2158-7.81584
1310.611.5135-0.913514
141213.4752-1.47516
156.39.47653-3.17653
1611.310.91110.388912
1711.913.9528-2.05281
189.312.0512-2.75115
199.612.3668-2.76684
201011.1795-1.17948
216.411.1609-4.76089
2213.812.36911.43092
2310.813.2795-2.47954
2413.812.44121.35885
2511.712.8485-1.14855
2610.914.7323-3.83226
2716.113.68062.41944
2813.411.26152.13855
299.911.5522-1.65222
3011.511.9361-0.436139
318.311.96-3.66005
3211.713.3484-1.64843
33912.4914-3.49142
349.714.0201-4.32005
3510.812.5795-1.77946
3610.312.7804-2.48037
3710.411.4961-1.09612
3812.712.10440.595606
399.312.2741-2.9741
4011.814.7046-2.9046
415.911.0554-5.15535
4211.414.0855-2.68551
431311.9691.03104
4410.813.0072-2.20722
4512.310.52031.77972
4611.313.5687-2.26875
4711.812.4303-0.630307
487.910.819-2.91899
4912.710.16312.53694
5012.310.99481.30517
5111.612.0638-0.463849
526.710.9433-4.24331
5310.913.1993-2.29929
5412.112.3678-0.267753
5513.313.12770.172255
5610.113.6507-3.55066
575.711.7381-6.03813
5814.312.00472.2953
5989.05049-1.05049
6013.312.31250.987479
619.313.3592-4.05916
6212.511.67850.821549
637.611.2512-3.65117
6415.914.03741.86264
659.211.6041-2.40408
669.110.731-1.63101
6711.113.8757-2.77574
681314.1361-1.1361
6914.512.61641.88361
7012.211.11931.08066
7112.313.6431-1.34313
7211.411.32450.0755318
738.811.6677-2.86772
7414.611.44883.15118
7512.613.0081-0.408074
761313.6365-0.636519
7712.611.66080.939229
7813.214.6941-1.49411
799.910.8467-0.946673
807.711.696-3.99598
8110.510.7702-0.270183
8213.410.21323.18678
8310.911.9425-1.04251
844.310.1167-5.8167
8510.310.7328-0.432778
8611.811.8721-0.0720675
8711.210.24320.95676
8811.410.63460.765394
898.610.3736-1.77365
9013.211.02992.17009
9112.610.59932.00068
925.611.4408-5.8408
939.911.4462-1.54619
948.812.2228-3.42278
957.711.7027-4.00272
96910.237-1.237
977.312.5596-5.25965
9811.411.12450.275497
9913.611.92291.67709
1007.910.6375-2.73754
10110.710.9486-0.248577
10210.311.3806-1.08057
1038.310.0832-1.78319
1049.610.6265-1.0265
10514.211.82342.37663
1068.59.91961-1.41961
10713.510.25313.24688
1084.910.5182-5.61817
1096.410.1253-3.7253
1109.610.596-0.995998
11111.610.6370.962977
11211.110.43290.667149
1134.410.0398-5.63983
11412.713.052-0.351968
11518.114.74273.35725
11617.915.13552.76454
11716.616.9077-0.307711
11812.69.895282.70472
11917.122.4698-5.3698
12019.115.58233.51767
12116.118.8287-2.72866
12213.410.48862.91136
12318.417.87390.526104
12414.710.78683.91323
12510.614.5241-3.92415
12612.613.2437-0.643719
12716.215.10291.09709
12813.616.6428-3.04281
12918.915.44863.45138
13014.112.39691.70308
13114.512.08792.41207
13216.217.7679-1.56793
13314.813.28721.51278
13414.813.6781.12197
13512.512.34550.154494
13612.714.3907-1.69072
13717.413.86783.53217
1388.611.8102-3.21017
13918.417.71760.682423
14016.117.963-1.86298
14111.611.7701-0.170146
14217.811.82475.97525
14315.312.59472.70534
14417.716.16751.53252
14516.415.06341.33656
14617.715.32122.37881
14713.612.47731.1227
14814.413.22071.17933
14914.816.998-2.19803
15018.316.50591.79407
1519.914.7805-4.88054
1521614.29481.70523
15318.315.70852.59147
15416.917.4478-0.547766
15514.612.53312.06688
15613.913.81890.0810625
1571916.55032.44971
15815.614.55361.04643
15914.917.674-2.77404
16011.812.1644-0.364357
16118.513.50914.99085
16215.917.1997-1.29966
16317.114.3032.79702
16416.110.82395.2761
16519.915.43584.46415
1661110.26890.731054
16718.516.18242.31756
16815.110.53044.56962
1691515.2928-0.292807
17011.414.1341-2.73405
1711614.88551.11447
17218.113.33874.76133
17314.613.30931.29073
17415.416.2474-0.847427
17515.416.2304-0.830372
17617.613.50764.09244
17713.413.956-0.555953
17819.116.70862.39141
17915.413.08832.31165
1807.612.2891-4.68907
18113.414.4072-1.00718
18213.913.65890.241108
18319.117.38011.71994
18415.313.61581.68418
18512.912.2460.654002
18616.114.09642.00358
18717.412.37455.0255
18813.212.41840.781556
18912.29.686082.51392
19012.612.38850.211516
19110.411.7561-1.35606
19215.412.06883.33117
1939.610.7533-1.1533
19418.212.66665.53337
19513.612.2511.34901
19614.915.1945-0.294536
19714.817.1909-2.39092
19814.113.03861.06144
19914.910.96263.93741
20016.312.55823.74182
20119.318.07451.22548
20213.611.97731.62271
20313.613.01770.582339
20415.715.07450.625498
20512.812.01790.782106
20614.610.99943.60058
2079.912.8277-2.92767
20812.711.50491.19508
20919.215.85883.34119
21016.614.2982.302
21111.210.13511.06491
21215.312.90812.39187
21311.914.5458-2.64578
21413.215.6526-2.45257
21516.417.4204-1.02045
21612.413.0236-0.623618
21715.912.91872.98127
21818.214.88423.3158
21911.211.5857-0.385716
22015.715.8888-0.188842
22117.815.6812.11904
2227.711.8927-4.1927
22312.412.12770.272281
22415.611.30114.29886
22519.316.18213.1179
22615.212.00973.1903
22717.113.07024.02977
22815.612.33143.26864
22918.415.12993.27014
23019.115.06924.03075
23118.612.05236.5477
23219.117.11021.98985
23313.111.5281.57199
23412.912.9308-0.0307682
2359.510.4616-0.961627
2364.511.2082-6.70818
23711.910.60151.29853
23813.615.3506-1.75056
23911.712.9233-1.22326
24012.410.74551.65453
24113.414.8813-1.48129
24211.413.4166-2.01658
24314.911.38683.51323
24419.915.44444.45562
24511.212.0404-0.840416
24614.615.4175-0.817499
24717.616.13631.46374
24814.112.45841.6416
24916.115.47940.620621
25013.412.88130.518742
25111.912.2729-0.372873
2521214.3165-2.31652
25314.814.78110.0189155
25415.213.32231.87772
25513.214.3174-1.11745
25616.915.57581.32419
2577.99.96272-2.06272
2587.714.3245-6.6245
25912.611.46281.13716
2607.911.2563-3.35625
2611110.36280.637248
26212.412.3140.0859892
2631011.9514-1.95142
26414.911.39533.5047
26516.714.28092.41907
26613.413.23510.164949
2671413.4610.539012
26815.710.5775.12296
26916.912.44884.45122
2701110.26640.733594
27115.411.13184.26821
27212.210.92411.27594
27315.113.07892.02112
27417.816.58251.21751
27515.212.66142.53856
27614.613.42361.17641
27716.714.8181.88202
2788.111.1709-3.07085






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.2614850.522970.738515
120.1678020.3356040.832198
130.3936960.7873920.606304
140.2716760.5433520.728324
150.1920630.3841270.807937
160.5580370.8839260.441963
170.4904460.9808910.509554
180.403420.806840.59658
190.3526550.705310.647345
200.3130610.6261210.686939
210.3086980.6173960.691302
220.2528610.5057220.747139
230.1975590.3951190.802441
240.146960.293920.85304
250.1082750.2165510.891725
260.08752290.1750460.912477
270.0626490.1252980.937351
280.09797080.1959420.902029
290.07386140.1477230.926139
300.0776320.1552640.922368
310.07965450.1593090.920346
320.07484930.1496990.925151
330.05782210.1156440.942178
340.06064830.1212970.939352
350.05120860.1024170.948791
360.03774810.07549620.962252
370.0272920.05458410.972708
380.03681270.07362540.963187
390.06482630.1296530.935174
400.05523490.110470.944765
410.1313840.2627680.868616
420.1092060.2184130.890794
430.08676440.1735290.913236
440.07197290.1439460.928027
450.07055960.1411190.92944
460.05810870.1162170.941891
470.04796220.09592430.952038
480.05430680.1086140.945693
490.0641820.1283640.935818
500.06282890.1256580.937171
510.05686730.1137350.943133
520.06273450.1254690.937265
530.05585330.1117070.944147
540.06479680.1295940.935203
550.07606810.1521360.923932
560.06580.13160.9342
570.1292960.2585930.870704
580.1526930.3053850.847307
590.1298580.2597160.870142
600.1289450.257890.871055
610.1473020.2946040.852698
620.1309650.2619290.869035
630.1500450.300090.849955
640.1771290.3542580.822871
650.1801560.3603120.819844
660.15990.3197990.8401
670.1568610.3137230.843139
680.1456060.2912120.854394
690.148540.297080.85146
700.1326340.2652680.867366
710.1228810.2457620.877119
720.1065730.2131470.893427
730.09739520.194790.902605
740.09748120.1949620.902519
750.08944260.1788850.910557
760.08222780.1644560.917772
770.07039980.14080.9296
780.07234460.1446890.927655
790.06031890.1206380.939681
800.07635920.1527180.923641
810.06396560.1279310.936034
820.07943910.1588780.920561
830.06809380.1361880.931906
840.1418080.2836150.858192
850.1277640.2555290.872236
860.1125760.2251520.887424
870.09849870.1969970.901501
880.0881570.1763140.911843
890.08425860.1685170.915741
900.0853350.170670.914665
910.09266630.1853330.907334
920.1770710.3541410.822929
930.1698890.3397770.830111
940.1704780.3409550.829522
950.1908240.3816470.809176
960.1826480.3652950.817352
970.2539310.5078620.746069
980.2378530.4757050.762147
990.2476890.4953790.752311
1000.3056220.6112450.694378
1010.2868360.5736710.713164
1020.2725580.5451150.727442
1030.2759330.5518660.724067
1040.2789920.5579840.721008
1050.311580.6231610.68842
1060.3203750.6407510.679625
1070.3310970.6621940.668903
1080.5124580.9750840.487542
1090.5509560.8980890.449044
1100.5462960.9074070.453704
1110.5414080.9171830.458592
1120.514610.9707810.48539
1130.6628130.6743740.337187
1140.6534350.693130.346565
1150.7769670.4460670.223033
1160.8394830.3210350.160517
1170.8200140.3599710.179986
1180.8361460.3277090.163854
1190.8435020.3129950.156498
1200.8682210.2635590.131779
1210.8743390.2513220.125661
1220.8849440.2301110.115056
1230.8800780.2398450.119922
1240.9241180.1517640.0758822
1250.9347160.1305680.0652839
1260.9249390.1501230.0750614
1270.9310040.1379930.0689964
1280.9349180.1301650.0650824
1290.9435360.1129280.0564642
1300.9412890.1174220.0587109
1310.9439660.1120680.0560341
1320.9441690.1116630.0558314
1330.9428090.1143830.0571915
1340.9403340.1193320.0596659
1350.9300550.139890.0699449
1360.9200690.1598610.0799307
1370.9429830.1140340.0570171
1380.9401830.1196350.0598175
1390.933950.1320990.0660497
1400.9241910.1516170.0758086
1410.9109220.1781550.0890775
1420.9509920.09801610.0490081
1430.9507310.09853790.0492689
1440.9502930.09941380.0497069
1450.9451720.1096570.0548284
1460.9446070.1107860.0553932
1470.9378460.1243090.0621543
1480.929630.1407390.0703696
1490.9196030.1607940.080397
1500.9142610.1714780.0857391
1510.9660030.06799460.0339973
1520.9648250.07034940.0351747
1530.9653770.06924580.0346229
1540.9584550.08308980.0415449
1550.9595510.08089790.040449
1560.9521710.09565890.0478295
1570.950920.09816050.0490802
1580.9431210.1137580.0568792
1590.9412750.117450.0587251
1600.9319920.1360150.0680075
1610.9518270.09634640.0481732
1620.9424840.1150310.0575155
1630.9410510.1178990.0589494
1640.9866580.0266850.0133425
1650.9876360.02472750.0123637
1660.9844590.03108240.0155412
1670.9835790.03284120.0164206
1680.9884570.02308670.0115434
1690.985450.02909960.0145498
1700.9856060.02878750.0143937
1710.9830020.03399650.0169983
1720.9881630.02367390.0118369
1730.9865810.0268390.0134195
1740.9840490.03190180.0159509
1750.9813560.03728880.0186444
1760.9852850.02943060.0147153
1770.9824810.03503780.0175189
1780.9815680.03686310.0184316
1790.9788360.0423270.0211635
1800.9860990.02780250.0139013
1810.9847630.03047460.0152373
1820.9832270.03354620.0167731
1830.9801860.03962750.0198137
1840.9768750.04624920.0231246
1850.9760810.04783760.0239188
1860.9725460.05490730.0274537
1870.9832560.03348880.0167444
1880.9799820.04003510.0200176
1890.9767510.04649820.0232491
1900.9711190.05776250.0288813
1910.9668960.06620850.0331043
1920.9669620.06607530.0330376
1930.960570.07886070.0394303
1940.9763870.04722640.0236132
1950.9720980.05580440.0279022
1960.9674310.06513760.0325688
1970.9737270.05254690.0262735
1980.9682480.06350470.0317524
1990.9699470.06010660.0300533
2000.9698180.06036390.0301819
2010.9654210.06915850.0345792
2020.9613770.07724550.0386228
2030.957930.08414050.0420703
2040.9481940.1036120.051806
2050.9366560.1266890.0633443
2060.9493060.1013890.0506943
2070.942260.1154810.0577405
2080.9353530.1292940.0646472
2090.9302490.1395020.0697512
2100.92210.15580.0779
2110.913640.1727210.0863604
2120.9016440.1967130.0983564
2130.9276220.1447560.072378
2140.9160160.1679690.0839845
2150.9101060.1797870.0898937
2160.8933240.2133520.106676
2170.8893470.2213070.110653
2180.8779840.2440320.122016
2190.8536790.2926420.146321
2200.82610.34780.1739
2210.8002970.3994070.199703
2220.8067020.3865960.193298
2230.7740950.4518110.225905
2240.7842420.4315160.215758
2250.7646530.4706940.235347
2260.8229130.3541730.177087
2270.8813540.2372910.118646
2280.8772870.2454260.122713
2290.8732090.2535820.126791
2300.8990680.2018650.100932
2310.9177150.1645710.0822853
2320.8979420.2041170.102058
2330.8823030.2353940.117697
2340.8664310.2671380.133569
2350.8371410.3257180.162859
2360.9417810.1164370.0582186
2370.9448860.1102280.0551138
2380.9636350.07273020.0363651
2390.950860.09827980.0491399
2400.9363290.1273430.0636715
2410.9192040.1615920.0807961
2420.899020.201960.10098
2430.8915050.2169890.108495
2440.8721750.255650.127825
2450.840010.3199790.15999
2460.8263810.3472370.173619
2470.7855340.4289320.214466
2480.772040.455920.22796
2490.71960.5607990.2804
2500.6604190.6791620.339581
2510.6022420.7955170.397758
2520.5629080.8741850.437092
2530.4916150.983230.508385
2540.4561360.9122720.543864
2550.4432280.8864550.556772
2560.3719830.7439660.628017
2570.3389890.6779780.661011
2580.9780210.04395890.0219794
2590.9634670.07306680.0365334
2600.996570.006859950.00342998
2610.9995240.0009527920.000476396
2620.99940.001200320.000600159
2630.9991590.001681510.000840754
2640.9987640.002472350.00123618
2650.9958920.0082160.004108
2660.9884150.02316910.0115846
2670.9876390.02472170.0123608

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
11 & 0.261485 & 0.52297 & 0.738515 \tabularnewline
12 & 0.167802 & 0.335604 & 0.832198 \tabularnewline
13 & 0.393696 & 0.787392 & 0.606304 \tabularnewline
14 & 0.271676 & 0.543352 & 0.728324 \tabularnewline
15 & 0.192063 & 0.384127 & 0.807937 \tabularnewline
16 & 0.558037 & 0.883926 & 0.441963 \tabularnewline
17 & 0.490446 & 0.980891 & 0.509554 \tabularnewline
18 & 0.40342 & 0.80684 & 0.59658 \tabularnewline
19 & 0.352655 & 0.70531 & 0.647345 \tabularnewline
20 & 0.313061 & 0.626121 & 0.686939 \tabularnewline
21 & 0.308698 & 0.617396 & 0.691302 \tabularnewline
22 & 0.252861 & 0.505722 & 0.747139 \tabularnewline
23 & 0.197559 & 0.395119 & 0.802441 \tabularnewline
24 & 0.14696 & 0.29392 & 0.85304 \tabularnewline
25 & 0.108275 & 0.216551 & 0.891725 \tabularnewline
26 & 0.0875229 & 0.175046 & 0.912477 \tabularnewline
27 & 0.062649 & 0.125298 & 0.937351 \tabularnewline
28 & 0.0979708 & 0.195942 & 0.902029 \tabularnewline
29 & 0.0738614 & 0.147723 & 0.926139 \tabularnewline
30 & 0.077632 & 0.155264 & 0.922368 \tabularnewline
31 & 0.0796545 & 0.159309 & 0.920346 \tabularnewline
32 & 0.0748493 & 0.149699 & 0.925151 \tabularnewline
33 & 0.0578221 & 0.115644 & 0.942178 \tabularnewline
34 & 0.0606483 & 0.121297 & 0.939352 \tabularnewline
35 & 0.0512086 & 0.102417 & 0.948791 \tabularnewline
36 & 0.0377481 & 0.0754962 & 0.962252 \tabularnewline
37 & 0.027292 & 0.0545841 & 0.972708 \tabularnewline
38 & 0.0368127 & 0.0736254 & 0.963187 \tabularnewline
39 & 0.0648263 & 0.129653 & 0.935174 \tabularnewline
40 & 0.0552349 & 0.11047 & 0.944765 \tabularnewline
41 & 0.131384 & 0.262768 & 0.868616 \tabularnewline
42 & 0.109206 & 0.218413 & 0.890794 \tabularnewline
43 & 0.0867644 & 0.173529 & 0.913236 \tabularnewline
44 & 0.0719729 & 0.143946 & 0.928027 \tabularnewline
45 & 0.0705596 & 0.141119 & 0.92944 \tabularnewline
46 & 0.0581087 & 0.116217 & 0.941891 \tabularnewline
47 & 0.0479622 & 0.0959243 & 0.952038 \tabularnewline
48 & 0.0543068 & 0.108614 & 0.945693 \tabularnewline
49 & 0.064182 & 0.128364 & 0.935818 \tabularnewline
50 & 0.0628289 & 0.125658 & 0.937171 \tabularnewline
51 & 0.0568673 & 0.113735 & 0.943133 \tabularnewline
52 & 0.0627345 & 0.125469 & 0.937265 \tabularnewline
53 & 0.0558533 & 0.111707 & 0.944147 \tabularnewline
54 & 0.0647968 & 0.129594 & 0.935203 \tabularnewline
55 & 0.0760681 & 0.152136 & 0.923932 \tabularnewline
56 & 0.0658 & 0.1316 & 0.9342 \tabularnewline
57 & 0.129296 & 0.258593 & 0.870704 \tabularnewline
58 & 0.152693 & 0.305385 & 0.847307 \tabularnewline
59 & 0.129858 & 0.259716 & 0.870142 \tabularnewline
60 & 0.128945 & 0.25789 & 0.871055 \tabularnewline
61 & 0.147302 & 0.294604 & 0.852698 \tabularnewline
62 & 0.130965 & 0.261929 & 0.869035 \tabularnewline
63 & 0.150045 & 0.30009 & 0.849955 \tabularnewline
64 & 0.177129 & 0.354258 & 0.822871 \tabularnewline
65 & 0.180156 & 0.360312 & 0.819844 \tabularnewline
66 & 0.1599 & 0.319799 & 0.8401 \tabularnewline
67 & 0.156861 & 0.313723 & 0.843139 \tabularnewline
68 & 0.145606 & 0.291212 & 0.854394 \tabularnewline
69 & 0.14854 & 0.29708 & 0.85146 \tabularnewline
70 & 0.132634 & 0.265268 & 0.867366 \tabularnewline
71 & 0.122881 & 0.245762 & 0.877119 \tabularnewline
72 & 0.106573 & 0.213147 & 0.893427 \tabularnewline
73 & 0.0973952 & 0.19479 & 0.902605 \tabularnewline
74 & 0.0974812 & 0.194962 & 0.902519 \tabularnewline
75 & 0.0894426 & 0.178885 & 0.910557 \tabularnewline
76 & 0.0822278 & 0.164456 & 0.917772 \tabularnewline
77 & 0.0703998 & 0.1408 & 0.9296 \tabularnewline
78 & 0.0723446 & 0.144689 & 0.927655 \tabularnewline
79 & 0.0603189 & 0.120638 & 0.939681 \tabularnewline
80 & 0.0763592 & 0.152718 & 0.923641 \tabularnewline
81 & 0.0639656 & 0.127931 & 0.936034 \tabularnewline
82 & 0.0794391 & 0.158878 & 0.920561 \tabularnewline
83 & 0.0680938 & 0.136188 & 0.931906 \tabularnewline
84 & 0.141808 & 0.283615 & 0.858192 \tabularnewline
85 & 0.127764 & 0.255529 & 0.872236 \tabularnewline
86 & 0.112576 & 0.225152 & 0.887424 \tabularnewline
87 & 0.0984987 & 0.196997 & 0.901501 \tabularnewline
88 & 0.088157 & 0.176314 & 0.911843 \tabularnewline
89 & 0.0842586 & 0.168517 & 0.915741 \tabularnewline
90 & 0.085335 & 0.17067 & 0.914665 \tabularnewline
91 & 0.0926663 & 0.185333 & 0.907334 \tabularnewline
92 & 0.177071 & 0.354141 & 0.822929 \tabularnewline
93 & 0.169889 & 0.339777 & 0.830111 \tabularnewline
94 & 0.170478 & 0.340955 & 0.829522 \tabularnewline
95 & 0.190824 & 0.381647 & 0.809176 \tabularnewline
96 & 0.182648 & 0.365295 & 0.817352 \tabularnewline
97 & 0.253931 & 0.507862 & 0.746069 \tabularnewline
98 & 0.237853 & 0.475705 & 0.762147 \tabularnewline
99 & 0.247689 & 0.495379 & 0.752311 \tabularnewline
100 & 0.305622 & 0.611245 & 0.694378 \tabularnewline
101 & 0.286836 & 0.573671 & 0.713164 \tabularnewline
102 & 0.272558 & 0.545115 & 0.727442 \tabularnewline
103 & 0.275933 & 0.551866 & 0.724067 \tabularnewline
104 & 0.278992 & 0.557984 & 0.721008 \tabularnewline
105 & 0.31158 & 0.623161 & 0.68842 \tabularnewline
106 & 0.320375 & 0.640751 & 0.679625 \tabularnewline
107 & 0.331097 & 0.662194 & 0.668903 \tabularnewline
108 & 0.512458 & 0.975084 & 0.487542 \tabularnewline
109 & 0.550956 & 0.898089 & 0.449044 \tabularnewline
110 & 0.546296 & 0.907407 & 0.453704 \tabularnewline
111 & 0.541408 & 0.917183 & 0.458592 \tabularnewline
112 & 0.51461 & 0.970781 & 0.48539 \tabularnewline
113 & 0.662813 & 0.674374 & 0.337187 \tabularnewline
114 & 0.653435 & 0.69313 & 0.346565 \tabularnewline
115 & 0.776967 & 0.446067 & 0.223033 \tabularnewline
116 & 0.839483 & 0.321035 & 0.160517 \tabularnewline
117 & 0.820014 & 0.359971 & 0.179986 \tabularnewline
118 & 0.836146 & 0.327709 & 0.163854 \tabularnewline
119 & 0.843502 & 0.312995 & 0.156498 \tabularnewline
120 & 0.868221 & 0.263559 & 0.131779 \tabularnewline
121 & 0.874339 & 0.251322 & 0.125661 \tabularnewline
122 & 0.884944 & 0.230111 & 0.115056 \tabularnewline
123 & 0.880078 & 0.239845 & 0.119922 \tabularnewline
124 & 0.924118 & 0.151764 & 0.0758822 \tabularnewline
125 & 0.934716 & 0.130568 & 0.0652839 \tabularnewline
126 & 0.924939 & 0.150123 & 0.0750614 \tabularnewline
127 & 0.931004 & 0.137993 & 0.0689964 \tabularnewline
128 & 0.934918 & 0.130165 & 0.0650824 \tabularnewline
129 & 0.943536 & 0.112928 & 0.0564642 \tabularnewline
130 & 0.941289 & 0.117422 & 0.0587109 \tabularnewline
131 & 0.943966 & 0.112068 & 0.0560341 \tabularnewline
132 & 0.944169 & 0.111663 & 0.0558314 \tabularnewline
133 & 0.942809 & 0.114383 & 0.0571915 \tabularnewline
134 & 0.940334 & 0.119332 & 0.0596659 \tabularnewline
135 & 0.930055 & 0.13989 & 0.0699449 \tabularnewline
136 & 0.920069 & 0.159861 & 0.0799307 \tabularnewline
137 & 0.942983 & 0.114034 & 0.0570171 \tabularnewline
138 & 0.940183 & 0.119635 & 0.0598175 \tabularnewline
139 & 0.93395 & 0.132099 & 0.0660497 \tabularnewline
140 & 0.924191 & 0.151617 & 0.0758086 \tabularnewline
141 & 0.910922 & 0.178155 & 0.0890775 \tabularnewline
142 & 0.950992 & 0.0980161 & 0.0490081 \tabularnewline
143 & 0.950731 & 0.0985379 & 0.0492689 \tabularnewline
144 & 0.950293 & 0.0994138 & 0.0497069 \tabularnewline
145 & 0.945172 & 0.109657 & 0.0548284 \tabularnewline
146 & 0.944607 & 0.110786 & 0.0553932 \tabularnewline
147 & 0.937846 & 0.124309 & 0.0621543 \tabularnewline
148 & 0.92963 & 0.140739 & 0.0703696 \tabularnewline
149 & 0.919603 & 0.160794 & 0.080397 \tabularnewline
150 & 0.914261 & 0.171478 & 0.0857391 \tabularnewline
151 & 0.966003 & 0.0679946 & 0.0339973 \tabularnewline
152 & 0.964825 & 0.0703494 & 0.0351747 \tabularnewline
153 & 0.965377 & 0.0692458 & 0.0346229 \tabularnewline
154 & 0.958455 & 0.0830898 & 0.0415449 \tabularnewline
155 & 0.959551 & 0.0808979 & 0.040449 \tabularnewline
156 & 0.952171 & 0.0956589 & 0.0478295 \tabularnewline
157 & 0.95092 & 0.0981605 & 0.0490802 \tabularnewline
158 & 0.943121 & 0.113758 & 0.0568792 \tabularnewline
159 & 0.941275 & 0.11745 & 0.0587251 \tabularnewline
160 & 0.931992 & 0.136015 & 0.0680075 \tabularnewline
161 & 0.951827 & 0.0963464 & 0.0481732 \tabularnewline
162 & 0.942484 & 0.115031 & 0.0575155 \tabularnewline
163 & 0.941051 & 0.117899 & 0.0589494 \tabularnewline
164 & 0.986658 & 0.026685 & 0.0133425 \tabularnewline
165 & 0.987636 & 0.0247275 & 0.0123637 \tabularnewline
166 & 0.984459 & 0.0310824 & 0.0155412 \tabularnewline
167 & 0.983579 & 0.0328412 & 0.0164206 \tabularnewline
168 & 0.988457 & 0.0230867 & 0.0115434 \tabularnewline
169 & 0.98545 & 0.0290996 & 0.0145498 \tabularnewline
170 & 0.985606 & 0.0287875 & 0.0143937 \tabularnewline
171 & 0.983002 & 0.0339965 & 0.0169983 \tabularnewline
172 & 0.988163 & 0.0236739 & 0.0118369 \tabularnewline
173 & 0.986581 & 0.026839 & 0.0134195 \tabularnewline
174 & 0.984049 & 0.0319018 & 0.0159509 \tabularnewline
175 & 0.981356 & 0.0372888 & 0.0186444 \tabularnewline
176 & 0.985285 & 0.0294306 & 0.0147153 \tabularnewline
177 & 0.982481 & 0.0350378 & 0.0175189 \tabularnewline
178 & 0.981568 & 0.0368631 & 0.0184316 \tabularnewline
179 & 0.978836 & 0.042327 & 0.0211635 \tabularnewline
180 & 0.986099 & 0.0278025 & 0.0139013 \tabularnewline
181 & 0.984763 & 0.0304746 & 0.0152373 \tabularnewline
182 & 0.983227 & 0.0335462 & 0.0167731 \tabularnewline
183 & 0.980186 & 0.0396275 & 0.0198137 \tabularnewline
184 & 0.976875 & 0.0462492 & 0.0231246 \tabularnewline
185 & 0.976081 & 0.0478376 & 0.0239188 \tabularnewline
186 & 0.972546 & 0.0549073 & 0.0274537 \tabularnewline
187 & 0.983256 & 0.0334888 & 0.0167444 \tabularnewline
188 & 0.979982 & 0.0400351 & 0.0200176 \tabularnewline
189 & 0.976751 & 0.0464982 & 0.0232491 \tabularnewline
190 & 0.971119 & 0.0577625 & 0.0288813 \tabularnewline
191 & 0.966896 & 0.0662085 & 0.0331043 \tabularnewline
192 & 0.966962 & 0.0660753 & 0.0330376 \tabularnewline
193 & 0.96057 & 0.0788607 & 0.0394303 \tabularnewline
194 & 0.976387 & 0.0472264 & 0.0236132 \tabularnewline
195 & 0.972098 & 0.0558044 & 0.0279022 \tabularnewline
196 & 0.967431 & 0.0651376 & 0.0325688 \tabularnewline
197 & 0.973727 & 0.0525469 & 0.0262735 \tabularnewline
198 & 0.968248 & 0.0635047 & 0.0317524 \tabularnewline
199 & 0.969947 & 0.0601066 & 0.0300533 \tabularnewline
200 & 0.969818 & 0.0603639 & 0.0301819 \tabularnewline
201 & 0.965421 & 0.0691585 & 0.0345792 \tabularnewline
202 & 0.961377 & 0.0772455 & 0.0386228 \tabularnewline
203 & 0.95793 & 0.0841405 & 0.0420703 \tabularnewline
204 & 0.948194 & 0.103612 & 0.051806 \tabularnewline
205 & 0.936656 & 0.126689 & 0.0633443 \tabularnewline
206 & 0.949306 & 0.101389 & 0.0506943 \tabularnewline
207 & 0.94226 & 0.115481 & 0.0577405 \tabularnewline
208 & 0.935353 & 0.129294 & 0.0646472 \tabularnewline
209 & 0.930249 & 0.139502 & 0.0697512 \tabularnewline
210 & 0.9221 & 0.1558 & 0.0779 \tabularnewline
211 & 0.91364 & 0.172721 & 0.0863604 \tabularnewline
212 & 0.901644 & 0.196713 & 0.0983564 \tabularnewline
213 & 0.927622 & 0.144756 & 0.072378 \tabularnewline
214 & 0.916016 & 0.167969 & 0.0839845 \tabularnewline
215 & 0.910106 & 0.179787 & 0.0898937 \tabularnewline
216 & 0.893324 & 0.213352 & 0.106676 \tabularnewline
217 & 0.889347 & 0.221307 & 0.110653 \tabularnewline
218 & 0.877984 & 0.244032 & 0.122016 \tabularnewline
219 & 0.853679 & 0.292642 & 0.146321 \tabularnewline
220 & 0.8261 & 0.3478 & 0.1739 \tabularnewline
221 & 0.800297 & 0.399407 & 0.199703 \tabularnewline
222 & 0.806702 & 0.386596 & 0.193298 \tabularnewline
223 & 0.774095 & 0.451811 & 0.225905 \tabularnewline
224 & 0.784242 & 0.431516 & 0.215758 \tabularnewline
225 & 0.764653 & 0.470694 & 0.235347 \tabularnewline
226 & 0.822913 & 0.354173 & 0.177087 \tabularnewline
227 & 0.881354 & 0.237291 & 0.118646 \tabularnewline
228 & 0.877287 & 0.245426 & 0.122713 \tabularnewline
229 & 0.873209 & 0.253582 & 0.126791 \tabularnewline
230 & 0.899068 & 0.201865 & 0.100932 \tabularnewline
231 & 0.917715 & 0.164571 & 0.0822853 \tabularnewline
232 & 0.897942 & 0.204117 & 0.102058 \tabularnewline
233 & 0.882303 & 0.235394 & 0.117697 \tabularnewline
234 & 0.866431 & 0.267138 & 0.133569 \tabularnewline
235 & 0.837141 & 0.325718 & 0.162859 \tabularnewline
236 & 0.941781 & 0.116437 & 0.0582186 \tabularnewline
237 & 0.944886 & 0.110228 & 0.0551138 \tabularnewline
238 & 0.963635 & 0.0727302 & 0.0363651 \tabularnewline
239 & 0.95086 & 0.0982798 & 0.0491399 \tabularnewline
240 & 0.936329 & 0.127343 & 0.0636715 \tabularnewline
241 & 0.919204 & 0.161592 & 0.0807961 \tabularnewline
242 & 0.89902 & 0.20196 & 0.10098 \tabularnewline
243 & 0.891505 & 0.216989 & 0.108495 \tabularnewline
244 & 0.872175 & 0.25565 & 0.127825 \tabularnewline
245 & 0.84001 & 0.319979 & 0.15999 \tabularnewline
246 & 0.826381 & 0.347237 & 0.173619 \tabularnewline
247 & 0.785534 & 0.428932 & 0.214466 \tabularnewline
248 & 0.77204 & 0.45592 & 0.22796 \tabularnewline
249 & 0.7196 & 0.560799 & 0.2804 \tabularnewline
250 & 0.660419 & 0.679162 & 0.339581 \tabularnewline
251 & 0.602242 & 0.795517 & 0.397758 \tabularnewline
252 & 0.562908 & 0.874185 & 0.437092 \tabularnewline
253 & 0.491615 & 0.98323 & 0.508385 \tabularnewline
254 & 0.456136 & 0.912272 & 0.543864 \tabularnewline
255 & 0.443228 & 0.886455 & 0.556772 \tabularnewline
256 & 0.371983 & 0.743966 & 0.628017 \tabularnewline
257 & 0.338989 & 0.677978 & 0.661011 \tabularnewline
258 & 0.978021 & 0.0439589 & 0.0219794 \tabularnewline
259 & 0.963467 & 0.0730668 & 0.0365334 \tabularnewline
260 & 0.99657 & 0.00685995 & 0.00342998 \tabularnewline
261 & 0.999524 & 0.000952792 & 0.000476396 \tabularnewline
262 & 0.9994 & 0.00120032 & 0.000600159 \tabularnewline
263 & 0.999159 & 0.00168151 & 0.000840754 \tabularnewline
264 & 0.998764 & 0.00247235 & 0.00123618 \tabularnewline
265 & 0.995892 & 0.008216 & 0.004108 \tabularnewline
266 & 0.988415 & 0.0231691 & 0.0115846 \tabularnewline
267 & 0.987639 & 0.0247217 & 0.0123608 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270400&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]11[/C][C]0.261485[/C][C]0.52297[/C][C]0.738515[/C][/ROW]
[ROW][C]12[/C][C]0.167802[/C][C]0.335604[/C][C]0.832198[/C][/ROW]
[ROW][C]13[/C][C]0.393696[/C][C]0.787392[/C][C]0.606304[/C][/ROW]
[ROW][C]14[/C][C]0.271676[/C][C]0.543352[/C][C]0.728324[/C][/ROW]
[ROW][C]15[/C][C]0.192063[/C][C]0.384127[/C][C]0.807937[/C][/ROW]
[ROW][C]16[/C][C]0.558037[/C][C]0.883926[/C][C]0.441963[/C][/ROW]
[ROW][C]17[/C][C]0.490446[/C][C]0.980891[/C][C]0.509554[/C][/ROW]
[ROW][C]18[/C][C]0.40342[/C][C]0.80684[/C][C]0.59658[/C][/ROW]
[ROW][C]19[/C][C]0.352655[/C][C]0.70531[/C][C]0.647345[/C][/ROW]
[ROW][C]20[/C][C]0.313061[/C][C]0.626121[/C][C]0.686939[/C][/ROW]
[ROW][C]21[/C][C]0.308698[/C][C]0.617396[/C][C]0.691302[/C][/ROW]
[ROW][C]22[/C][C]0.252861[/C][C]0.505722[/C][C]0.747139[/C][/ROW]
[ROW][C]23[/C][C]0.197559[/C][C]0.395119[/C][C]0.802441[/C][/ROW]
[ROW][C]24[/C][C]0.14696[/C][C]0.29392[/C][C]0.85304[/C][/ROW]
[ROW][C]25[/C][C]0.108275[/C][C]0.216551[/C][C]0.891725[/C][/ROW]
[ROW][C]26[/C][C]0.0875229[/C][C]0.175046[/C][C]0.912477[/C][/ROW]
[ROW][C]27[/C][C]0.062649[/C][C]0.125298[/C][C]0.937351[/C][/ROW]
[ROW][C]28[/C][C]0.0979708[/C][C]0.195942[/C][C]0.902029[/C][/ROW]
[ROW][C]29[/C][C]0.0738614[/C][C]0.147723[/C][C]0.926139[/C][/ROW]
[ROW][C]30[/C][C]0.077632[/C][C]0.155264[/C][C]0.922368[/C][/ROW]
[ROW][C]31[/C][C]0.0796545[/C][C]0.159309[/C][C]0.920346[/C][/ROW]
[ROW][C]32[/C][C]0.0748493[/C][C]0.149699[/C][C]0.925151[/C][/ROW]
[ROW][C]33[/C][C]0.0578221[/C][C]0.115644[/C][C]0.942178[/C][/ROW]
[ROW][C]34[/C][C]0.0606483[/C][C]0.121297[/C][C]0.939352[/C][/ROW]
[ROW][C]35[/C][C]0.0512086[/C][C]0.102417[/C][C]0.948791[/C][/ROW]
[ROW][C]36[/C][C]0.0377481[/C][C]0.0754962[/C][C]0.962252[/C][/ROW]
[ROW][C]37[/C][C]0.027292[/C][C]0.0545841[/C][C]0.972708[/C][/ROW]
[ROW][C]38[/C][C]0.0368127[/C][C]0.0736254[/C][C]0.963187[/C][/ROW]
[ROW][C]39[/C][C]0.0648263[/C][C]0.129653[/C][C]0.935174[/C][/ROW]
[ROW][C]40[/C][C]0.0552349[/C][C]0.11047[/C][C]0.944765[/C][/ROW]
[ROW][C]41[/C][C]0.131384[/C][C]0.262768[/C][C]0.868616[/C][/ROW]
[ROW][C]42[/C][C]0.109206[/C][C]0.218413[/C][C]0.890794[/C][/ROW]
[ROW][C]43[/C][C]0.0867644[/C][C]0.173529[/C][C]0.913236[/C][/ROW]
[ROW][C]44[/C][C]0.0719729[/C][C]0.143946[/C][C]0.928027[/C][/ROW]
[ROW][C]45[/C][C]0.0705596[/C][C]0.141119[/C][C]0.92944[/C][/ROW]
[ROW][C]46[/C][C]0.0581087[/C][C]0.116217[/C][C]0.941891[/C][/ROW]
[ROW][C]47[/C][C]0.0479622[/C][C]0.0959243[/C][C]0.952038[/C][/ROW]
[ROW][C]48[/C][C]0.0543068[/C][C]0.108614[/C][C]0.945693[/C][/ROW]
[ROW][C]49[/C][C]0.064182[/C][C]0.128364[/C][C]0.935818[/C][/ROW]
[ROW][C]50[/C][C]0.0628289[/C][C]0.125658[/C][C]0.937171[/C][/ROW]
[ROW][C]51[/C][C]0.0568673[/C][C]0.113735[/C][C]0.943133[/C][/ROW]
[ROW][C]52[/C][C]0.0627345[/C][C]0.125469[/C][C]0.937265[/C][/ROW]
[ROW][C]53[/C][C]0.0558533[/C][C]0.111707[/C][C]0.944147[/C][/ROW]
[ROW][C]54[/C][C]0.0647968[/C][C]0.129594[/C][C]0.935203[/C][/ROW]
[ROW][C]55[/C][C]0.0760681[/C][C]0.152136[/C][C]0.923932[/C][/ROW]
[ROW][C]56[/C][C]0.0658[/C][C]0.1316[/C][C]0.9342[/C][/ROW]
[ROW][C]57[/C][C]0.129296[/C][C]0.258593[/C][C]0.870704[/C][/ROW]
[ROW][C]58[/C][C]0.152693[/C][C]0.305385[/C][C]0.847307[/C][/ROW]
[ROW][C]59[/C][C]0.129858[/C][C]0.259716[/C][C]0.870142[/C][/ROW]
[ROW][C]60[/C][C]0.128945[/C][C]0.25789[/C][C]0.871055[/C][/ROW]
[ROW][C]61[/C][C]0.147302[/C][C]0.294604[/C][C]0.852698[/C][/ROW]
[ROW][C]62[/C][C]0.130965[/C][C]0.261929[/C][C]0.869035[/C][/ROW]
[ROW][C]63[/C][C]0.150045[/C][C]0.30009[/C][C]0.849955[/C][/ROW]
[ROW][C]64[/C][C]0.177129[/C][C]0.354258[/C][C]0.822871[/C][/ROW]
[ROW][C]65[/C][C]0.180156[/C][C]0.360312[/C][C]0.819844[/C][/ROW]
[ROW][C]66[/C][C]0.1599[/C][C]0.319799[/C][C]0.8401[/C][/ROW]
[ROW][C]67[/C][C]0.156861[/C][C]0.313723[/C][C]0.843139[/C][/ROW]
[ROW][C]68[/C][C]0.145606[/C][C]0.291212[/C][C]0.854394[/C][/ROW]
[ROW][C]69[/C][C]0.14854[/C][C]0.29708[/C][C]0.85146[/C][/ROW]
[ROW][C]70[/C][C]0.132634[/C][C]0.265268[/C][C]0.867366[/C][/ROW]
[ROW][C]71[/C][C]0.122881[/C][C]0.245762[/C][C]0.877119[/C][/ROW]
[ROW][C]72[/C][C]0.106573[/C][C]0.213147[/C][C]0.893427[/C][/ROW]
[ROW][C]73[/C][C]0.0973952[/C][C]0.19479[/C][C]0.902605[/C][/ROW]
[ROW][C]74[/C][C]0.0974812[/C][C]0.194962[/C][C]0.902519[/C][/ROW]
[ROW][C]75[/C][C]0.0894426[/C][C]0.178885[/C][C]0.910557[/C][/ROW]
[ROW][C]76[/C][C]0.0822278[/C][C]0.164456[/C][C]0.917772[/C][/ROW]
[ROW][C]77[/C][C]0.0703998[/C][C]0.1408[/C][C]0.9296[/C][/ROW]
[ROW][C]78[/C][C]0.0723446[/C][C]0.144689[/C][C]0.927655[/C][/ROW]
[ROW][C]79[/C][C]0.0603189[/C][C]0.120638[/C][C]0.939681[/C][/ROW]
[ROW][C]80[/C][C]0.0763592[/C][C]0.152718[/C][C]0.923641[/C][/ROW]
[ROW][C]81[/C][C]0.0639656[/C][C]0.127931[/C][C]0.936034[/C][/ROW]
[ROW][C]82[/C][C]0.0794391[/C][C]0.158878[/C][C]0.920561[/C][/ROW]
[ROW][C]83[/C][C]0.0680938[/C][C]0.136188[/C][C]0.931906[/C][/ROW]
[ROW][C]84[/C][C]0.141808[/C][C]0.283615[/C][C]0.858192[/C][/ROW]
[ROW][C]85[/C][C]0.127764[/C][C]0.255529[/C][C]0.872236[/C][/ROW]
[ROW][C]86[/C][C]0.112576[/C][C]0.225152[/C][C]0.887424[/C][/ROW]
[ROW][C]87[/C][C]0.0984987[/C][C]0.196997[/C][C]0.901501[/C][/ROW]
[ROW][C]88[/C][C]0.088157[/C][C]0.176314[/C][C]0.911843[/C][/ROW]
[ROW][C]89[/C][C]0.0842586[/C][C]0.168517[/C][C]0.915741[/C][/ROW]
[ROW][C]90[/C][C]0.085335[/C][C]0.17067[/C][C]0.914665[/C][/ROW]
[ROW][C]91[/C][C]0.0926663[/C][C]0.185333[/C][C]0.907334[/C][/ROW]
[ROW][C]92[/C][C]0.177071[/C][C]0.354141[/C][C]0.822929[/C][/ROW]
[ROW][C]93[/C][C]0.169889[/C][C]0.339777[/C][C]0.830111[/C][/ROW]
[ROW][C]94[/C][C]0.170478[/C][C]0.340955[/C][C]0.829522[/C][/ROW]
[ROW][C]95[/C][C]0.190824[/C][C]0.381647[/C][C]0.809176[/C][/ROW]
[ROW][C]96[/C][C]0.182648[/C][C]0.365295[/C][C]0.817352[/C][/ROW]
[ROW][C]97[/C][C]0.253931[/C][C]0.507862[/C][C]0.746069[/C][/ROW]
[ROW][C]98[/C][C]0.237853[/C][C]0.475705[/C][C]0.762147[/C][/ROW]
[ROW][C]99[/C][C]0.247689[/C][C]0.495379[/C][C]0.752311[/C][/ROW]
[ROW][C]100[/C][C]0.305622[/C][C]0.611245[/C][C]0.694378[/C][/ROW]
[ROW][C]101[/C][C]0.286836[/C][C]0.573671[/C][C]0.713164[/C][/ROW]
[ROW][C]102[/C][C]0.272558[/C][C]0.545115[/C][C]0.727442[/C][/ROW]
[ROW][C]103[/C][C]0.275933[/C][C]0.551866[/C][C]0.724067[/C][/ROW]
[ROW][C]104[/C][C]0.278992[/C][C]0.557984[/C][C]0.721008[/C][/ROW]
[ROW][C]105[/C][C]0.31158[/C][C]0.623161[/C][C]0.68842[/C][/ROW]
[ROW][C]106[/C][C]0.320375[/C][C]0.640751[/C][C]0.679625[/C][/ROW]
[ROW][C]107[/C][C]0.331097[/C][C]0.662194[/C][C]0.668903[/C][/ROW]
[ROW][C]108[/C][C]0.512458[/C][C]0.975084[/C][C]0.487542[/C][/ROW]
[ROW][C]109[/C][C]0.550956[/C][C]0.898089[/C][C]0.449044[/C][/ROW]
[ROW][C]110[/C][C]0.546296[/C][C]0.907407[/C][C]0.453704[/C][/ROW]
[ROW][C]111[/C][C]0.541408[/C][C]0.917183[/C][C]0.458592[/C][/ROW]
[ROW][C]112[/C][C]0.51461[/C][C]0.970781[/C][C]0.48539[/C][/ROW]
[ROW][C]113[/C][C]0.662813[/C][C]0.674374[/C][C]0.337187[/C][/ROW]
[ROW][C]114[/C][C]0.653435[/C][C]0.69313[/C][C]0.346565[/C][/ROW]
[ROW][C]115[/C][C]0.776967[/C][C]0.446067[/C][C]0.223033[/C][/ROW]
[ROW][C]116[/C][C]0.839483[/C][C]0.321035[/C][C]0.160517[/C][/ROW]
[ROW][C]117[/C][C]0.820014[/C][C]0.359971[/C][C]0.179986[/C][/ROW]
[ROW][C]118[/C][C]0.836146[/C][C]0.327709[/C][C]0.163854[/C][/ROW]
[ROW][C]119[/C][C]0.843502[/C][C]0.312995[/C][C]0.156498[/C][/ROW]
[ROW][C]120[/C][C]0.868221[/C][C]0.263559[/C][C]0.131779[/C][/ROW]
[ROW][C]121[/C][C]0.874339[/C][C]0.251322[/C][C]0.125661[/C][/ROW]
[ROW][C]122[/C][C]0.884944[/C][C]0.230111[/C][C]0.115056[/C][/ROW]
[ROW][C]123[/C][C]0.880078[/C][C]0.239845[/C][C]0.119922[/C][/ROW]
[ROW][C]124[/C][C]0.924118[/C][C]0.151764[/C][C]0.0758822[/C][/ROW]
[ROW][C]125[/C][C]0.934716[/C][C]0.130568[/C][C]0.0652839[/C][/ROW]
[ROW][C]126[/C][C]0.924939[/C][C]0.150123[/C][C]0.0750614[/C][/ROW]
[ROW][C]127[/C][C]0.931004[/C][C]0.137993[/C][C]0.0689964[/C][/ROW]
[ROW][C]128[/C][C]0.934918[/C][C]0.130165[/C][C]0.0650824[/C][/ROW]
[ROW][C]129[/C][C]0.943536[/C][C]0.112928[/C][C]0.0564642[/C][/ROW]
[ROW][C]130[/C][C]0.941289[/C][C]0.117422[/C][C]0.0587109[/C][/ROW]
[ROW][C]131[/C][C]0.943966[/C][C]0.112068[/C][C]0.0560341[/C][/ROW]
[ROW][C]132[/C][C]0.944169[/C][C]0.111663[/C][C]0.0558314[/C][/ROW]
[ROW][C]133[/C][C]0.942809[/C][C]0.114383[/C][C]0.0571915[/C][/ROW]
[ROW][C]134[/C][C]0.940334[/C][C]0.119332[/C][C]0.0596659[/C][/ROW]
[ROW][C]135[/C][C]0.930055[/C][C]0.13989[/C][C]0.0699449[/C][/ROW]
[ROW][C]136[/C][C]0.920069[/C][C]0.159861[/C][C]0.0799307[/C][/ROW]
[ROW][C]137[/C][C]0.942983[/C][C]0.114034[/C][C]0.0570171[/C][/ROW]
[ROW][C]138[/C][C]0.940183[/C][C]0.119635[/C][C]0.0598175[/C][/ROW]
[ROW][C]139[/C][C]0.93395[/C][C]0.132099[/C][C]0.0660497[/C][/ROW]
[ROW][C]140[/C][C]0.924191[/C][C]0.151617[/C][C]0.0758086[/C][/ROW]
[ROW][C]141[/C][C]0.910922[/C][C]0.178155[/C][C]0.0890775[/C][/ROW]
[ROW][C]142[/C][C]0.950992[/C][C]0.0980161[/C][C]0.0490081[/C][/ROW]
[ROW][C]143[/C][C]0.950731[/C][C]0.0985379[/C][C]0.0492689[/C][/ROW]
[ROW][C]144[/C][C]0.950293[/C][C]0.0994138[/C][C]0.0497069[/C][/ROW]
[ROW][C]145[/C][C]0.945172[/C][C]0.109657[/C][C]0.0548284[/C][/ROW]
[ROW][C]146[/C][C]0.944607[/C][C]0.110786[/C][C]0.0553932[/C][/ROW]
[ROW][C]147[/C][C]0.937846[/C][C]0.124309[/C][C]0.0621543[/C][/ROW]
[ROW][C]148[/C][C]0.92963[/C][C]0.140739[/C][C]0.0703696[/C][/ROW]
[ROW][C]149[/C][C]0.919603[/C][C]0.160794[/C][C]0.080397[/C][/ROW]
[ROW][C]150[/C][C]0.914261[/C][C]0.171478[/C][C]0.0857391[/C][/ROW]
[ROW][C]151[/C][C]0.966003[/C][C]0.0679946[/C][C]0.0339973[/C][/ROW]
[ROW][C]152[/C][C]0.964825[/C][C]0.0703494[/C][C]0.0351747[/C][/ROW]
[ROW][C]153[/C][C]0.965377[/C][C]0.0692458[/C][C]0.0346229[/C][/ROW]
[ROW][C]154[/C][C]0.958455[/C][C]0.0830898[/C][C]0.0415449[/C][/ROW]
[ROW][C]155[/C][C]0.959551[/C][C]0.0808979[/C][C]0.040449[/C][/ROW]
[ROW][C]156[/C][C]0.952171[/C][C]0.0956589[/C][C]0.0478295[/C][/ROW]
[ROW][C]157[/C][C]0.95092[/C][C]0.0981605[/C][C]0.0490802[/C][/ROW]
[ROW][C]158[/C][C]0.943121[/C][C]0.113758[/C][C]0.0568792[/C][/ROW]
[ROW][C]159[/C][C]0.941275[/C][C]0.11745[/C][C]0.0587251[/C][/ROW]
[ROW][C]160[/C][C]0.931992[/C][C]0.136015[/C][C]0.0680075[/C][/ROW]
[ROW][C]161[/C][C]0.951827[/C][C]0.0963464[/C][C]0.0481732[/C][/ROW]
[ROW][C]162[/C][C]0.942484[/C][C]0.115031[/C][C]0.0575155[/C][/ROW]
[ROW][C]163[/C][C]0.941051[/C][C]0.117899[/C][C]0.0589494[/C][/ROW]
[ROW][C]164[/C][C]0.986658[/C][C]0.026685[/C][C]0.0133425[/C][/ROW]
[ROW][C]165[/C][C]0.987636[/C][C]0.0247275[/C][C]0.0123637[/C][/ROW]
[ROW][C]166[/C][C]0.984459[/C][C]0.0310824[/C][C]0.0155412[/C][/ROW]
[ROW][C]167[/C][C]0.983579[/C][C]0.0328412[/C][C]0.0164206[/C][/ROW]
[ROW][C]168[/C][C]0.988457[/C][C]0.0230867[/C][C]0.0115434[/C][/ROW]
[ROW][C]169[/C][C]0.98545[/C][C]0.0290996[/C][C]0.0145498[/C][/ROW]
[ROW][C]170[/C][C]0.985606[/C][C]0.0287875[/C][C]0.0143937[/C][/ROW]
[ROW][C]171[/C][C]0.983002[/C][C]0.0339965[/C][C]0.0169983[/C][/ROW]
[ROW][C]172[/C][C]0.988163[/C][C]0.0236739[/C][C]0.0118369[/C][/ROW]
[ROW][C]173[/C][C]0.986581[/C][C]0.026839[/C][C]0.0134195[/C][/ROW]
[ROW][C]174[/C][C]0.984049[/C][C]0.0319018[/C][C]0.0159509[/C][/ROW]
[ROW][C]175[/C][C]0.981356[/C][C]0.0372888[/C][C]0.0186444[/C][/ROW]
[ROW][C]176[/C][C]0.985285[/C][C]0.0294306[/C][C]0.0147153[/C][/ROW]
[ROW][C]177[/C][C]0.982481[/C][C]0.0350378[/C][C]0.0175189[/C][/ROW]
[ROW][C]178[/C][C]0.981568[/C][C]0.0368631[/C][C]0.0184316[/C][/ROW]
[ROW][C]179[/C][C]0.978836[/C][C]0.042327[/C][C]0.0211635[/C][/ROW]
[ROW][C]180[/C][C]0.986099[/C][C]0.0278025[/C][C]0.0139013[/C][/ROW]
[ROW][C]181[/C][C]0.984763[/C][C]0.0304746[/C][C]0.0152373[/C][/ROW]
[ROW][C]182[/C][C]0.983227[/C][C]0.0335462[/C][C]0.0167731[/C][/ROW]
[ROW][C]183[/C][C]0.980186[/C][C]0.0396275[/C][C]0.0198137[/C][/ROW]
[ROW][C]184[/C][C]0.976875[/C][C]0.0462492[/C][C]0.0231246[/C][/ROW]
[ROW][C]185[/C][C]0.976081[/C][C]0.0478376[/C][C]0.0239188[/C][/ROW]
[ROW][C]186[/C][C]0.972546[/C][C]0.0549073[/C][C]0.0274537[/C][/ROW]
[ROW][C]187[/C][C]0.983256[/C][C]0.0334888[/C][C]0.0167444[/C][/ROW]
[ROW][C]188[/C][C]0.979982[/C][C]0.0400351[/C][C]0.0200176[/C][/ROW]
[ROW][C]189[/C][C]0.976751[/C][C]0.0464982[/C][C]0.0232491[/C][/ROW]
[ROW][C]190[/C][C]0.971119[/C][C]0.0577625[/C][C]0.0288813[/C][/ROW]
[ROW][C]191[/C][C]0.966896[/C][C]0.0662085[/C][C]0.0331043[/C][/ROW]
[ROW][C]192[/C][C]0.966962[/C][C]0.0660753[/C][C]0.0330376[/C][/ROW]
[ROW][C]193[/C][C]0.96057[/C][C]0.0788607[/C][C]0.0394303[/C][/ROW]
[ROW][C]194[/C][C]0.976387[/C][C]0.0472264[/C][C]0.0236132[/C][/ROW]
[ROW][C]195[/C][C]0.972098[/C][C]0.0558044[/C][C]0.0279022[/C][/ROW]
[ROW][C]196[/C][C]0.967431[/C][C]0.0651376[/C][C]0.0325688[/C][/ROW]
[ROW][C]197[/C][C]0.973727[/C][C]0.0525469[/C][C]0.0262735[/C][/ROW]
[ROW][C]198[/C][C]0.968248[/C][C]0.0635047[/C][C]0.0317524[/C][/ROW]
[ROW][C]199[/C][C]0.969947[/C][C]0.0601066[/C][C]0.0300533[/C][/ROW]
[ROW][C]200[/C][C]0.969818[/C][C]0.0603639[/C][C]0.0301819[/C][/ROW]
[ROW][C]201[/C][C]0.965421[/C][C]0.0691585[/C][C]0.0345792[/C][/ROW]
[ROW][C]202[/C][C]0.961377[/C][C]0.0772455[/C][C]0.0386228[/C][/ROW]
[ROW][C]203[/C][C]0.95793[/C][C]0.0841405[/C][C]0.0420703[/C][/ROW]
[ROW][C]204[/C][C]0.948194[/C][C]0.103612[/C][C]0.051806[/C][/ROW]
[ROW][C]205[/C][C]0.936656[/C][C]0.126689[/C][C]0.0633443[/C][/ROW]
[ROW][C]206[/C][C]0.949306[/C][C]0.101389[/C][C]0.0506943[/C][/ROW]
[ROW][C]207[/C][C]0.94226[/C][C]0.115481[/C][C]0.0577405[/C][/ROW]
[ROW][C]208[/C][C]0.935353[/C][C]0.129294[/C][C]0.0646472[/C][/ROW]
[ROW][C]209[/C][C]0.930249[/C][C]0.139502[/C][C]0.0697512[/C][/ROW]
[ROW][C]210[/C][C]0.9221[/C][C]0.1558[/C][C]0.0779[/C][/ROW]
[ROW][C]211[/C][C]0.91364[/C][C]0.172721[/C][C]0.0863604[/C][/ROW]
[ROW][C]212[/C][C]0.901644[/C][C]0.196713[/C][C]0.0983564[/C][/ROW]
[ROW][C]213[/C][C]0.927622[/C][C]0.144756[/C][C]0.072378[/C][/ROW]
[ROW][C]214[/C][C]0.916016[/C][C]0.167969[/C][C]0.0839845[/C][/ROW]
[ROW][C]215[/C][C]0.910106[/C][C]0.179787[/C][C]0.0898937[/C][/ROW]
[ROW][C]216[/C][C]0.893324[/C][C]0.213352[/C][C]0.106676[/C][/ROW]
[ROW][C]217[/C][C]0.889347[/C][C]0.221307[/C][C]0.110653[/C][/ROW]
[ROW][C]218[/C][C]0.877984[/C][C]0.244032[/C][C]0.122016[/C][/ROW]
[ROW][C]219[/C][C]0.853679[/C][C]0.292642[/C][C]0.146321[/C][/ROW]
[ROW][C]220[/C][C]0.8261[/C][C]0.3478[/C][C]0.1739[/C][/ROW]
[ROW][C]221[/C][C]0.800297[/C][C]0.399407[/C][C]0.199703[/C][/ROW]
[ROW][C]222[/C][C]0.806702[/C][C]0.386596[/C][C]0.193298[/C][/ROW]
[ROW][C]223[/C][C]0.774095[/C][C]0.451811[/C][C]0.225905[/C][/ROW]
[ROW][C]224[/C][C]0.784242[/C][C]0.431516[/C][C]0.215758[/C][/ROW]
[ROW][C]225[/C][C]0.764653[/C][C]0.470694[/C][C]0.235347[/C][/ROW]
[ROW][C]226[/C][C]0.822913[/C][C]0.354173[/C][C]0.177087[/C][/ROW]
[ROW][C]227[/C][C]0.881354[/C][C]0.237291[/C][C]0.118646[/C][/ROW]
[ROW][C]228[/C][C]0.877287[/C][C]0.245426[/C][C]0.122713[/C][/ROW]
[ROW][C]229[/C][C]0.873209[/C][C]0.253582[/C][C]0.126791[/C][/ROW]
[ROW][C]230[/C][C]0.899068[/C][C]0.201865[/C][C]0.100932[/C][/ROW]
[ROW][C]231[/C][C]0.917715[/C][C]0.164571[/C][C]0.0822853[/C][/ROW]
[ROW][C]232[/C][C]0.897942[/C][C]0.204117[/C][C]0.102058[/C][/ROW]
[ROW][C]233[/C][C]0.882303[/C][C]0.235394[/C][C]0.117697[/C][/ROW]
[ROW][C]234[/C][C]0.866431[/C][C]0.267138[/C][C]0.133569[/C][/ROW]
[ROW][C]235[/C][C]0.837141[/C][C]0.325718[/C][C]0.162859[/C][/ROW]
[ROW][C]236[/C][C]0.941781[/C][C]0.116437[/C][C]0.0582186[/C][/ROW]
[ROW][C]237[/C][C]0.944886[/C][C]0.110228[/C][C]0.0551138[/C][/ROW]
[ROW][C]238[/C][C]0.963635[/C][C]0.0727302[/C][C]0.0363651[/C][/ROW]
[ROW][C]239[/C][C]0.95086[/C][C]0.0982798[/C][C]0.0491399[/C][/ROW]
[ROW][C]240[/C][C]0.936329[/C][C]0.127343[/C][C]0.0636715[/C][/ROW]
[ROW][C]241[/C][C]0.919204[/C][C]0.161592[/C][C]0.0807961[/C][/ROW]
[ROW][C]242[/C][C]0.89902[/C][C]0.20196[/C][C]0.10098[/C][/ROW]
[ROW][C]243[/C][C]0.891505[/C][C]0.216989[/C][C]0.108495[/C][/ROW]
[ROW][C]244[/C][C]0.872175[/C][C]0.25565[/C][C]0.127825[/C][/ROW]
[ROW][C]245[/C][C]0.84001[/C][C]0.319979[/C][C]0.15999[/C][/ROW]
[ROW][C]246[/C][C]0.826381[/C][C]0.347237[/C][C]0.173619[/C][/ROW]
[ROW][C]247[/C][C]0.785534[/C][C]0.428932[/C][C]0.214466[/C][/ROW]
[ROW][C]248[/C][C]0.77204[/C][C]0.45592[/C][C]0.22796[/C][/ROW]
[ROW][C]249[/C][C]0.7196[/C][C]0.560799[/C][C]0.2804[/C][/ROW]
[ROW][C]250[/C][C]0.660419[/C][C]0.679162[/C][C]0.339581[/C][/ROW]
[ROW][C]251[/C][C]0.602242[/C][C]0.795517[/C][C]0.397758[/C][/ROW]
[ROW][C]252[/C][C]0.562908[/C][C]0.874185[/C][C]0.437092[/C][/ROW]
[ROW][C]253[/C][C]0.491615[/C][C]0.98323[/C][C]0.508385[/C][/ROW]
[ROW][C]254[/C][C]0.456136[/C][C]0.912272[/C][C]0.543864[/C][/ROW]
[ROW][C]255[/C][C]0.443228[/C][C]0.886455[/C][C]0.556772[/C][/ROW]
[ROW][C]256[/C][C]0.371983[/C][C]0.743966[/C][C]0.628017[/C][/ROW]
[ROW][C]257[/C][C]0.338989[/C][C]0.677978[/C][C]0.661011[/C][/ROW]
[ROW][C]258[/C][C]0.978021[/C][C]0.0439589[/C][C]0.0219794[/C][/ROW]
[ROW][C]259[/C][C]0.963467[/C][C]0.0730668[/C][C]0.0365334[/C][/ROW]
[ROW][C]260[/C][C]0.99657[/C][C]0.00685995[/C][C]0.00342998[/C][/ROW]
[ROW][C]261[/C][C]0.999524[/C][C]0.000952792[/C][C]0.000476396[/C][/ROW]
[ROW][C]262[/C][C]0.9994[/C][C]0.00120032[/C][C]0.000600159[/C][/ROW]
[ROW][C]263[/C][C]0.999159[/C][C]0.00168151[/C][C]0.000840754[/C][/ROW]
[ROW][C]264[/C][C]0.998764[/C][C]0.00247235[/C][C]0.00123618[/C][/ROW]
[ROW][C]265[/C][C]0.995892[/C][C]0.008216[/C][C]0.004108[/C][/ROW]
[ROW][C]266[/C][C]0.988415[/C][C]0.0231691[/C][C]0.0115846[/C][/ROW]
[ROW][C]267[/C][C]0.987639[/C][C]0.0247217[/C][C]0.0123608[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270400&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270400&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
110.2614850.522970.738515
120.1678020.3356040.832198
130.3936960.7873920.606304
140.2716760.5433520.728324
150.1920630.3841270.807937
160.5580370.8839260.441963
170.4904460.9808910.509554
180.403420.806840.59658
190.3526550.705310.647345
200.3130610.6261210.686939
210.3086980.6173960.691302
220.2528610.5057220.747139
230.1975590.3951190.802441
240.146960.293920.85304
250.1082750.2165510.891725
260.08752290.1750460.912477
270.0626490.1252980.937351
280.09797080.1959420.902029
290.07386140.1477230.926139
300.0776320.1552640.922368
310.07965450.1593090.920346
320.07484930.1496990.925151
330.05782210.1156440.942178
340.06064830.1212970.939352
350.05120860.1024170.948791
360.03774810.07549620.962252
370.0272920.05458410.972708
380.03681270.07362540.963187
390.06482630.1296530.935174
400.05523490.110470.944765
410.1313840.2627680.868616
420.1092060.2184130.890794
430.08676440.1735290.913236
440.07197290.1439460.928027
450.07055960.1411190.92944
460.05810870.1162170.941891
470.04796220.09592430.952038
480.05430680.1086140.945693
490.0641820.1283640.935818
500.06282890.1256580.937171
510.05686730.1137350.943133
520.06273450.1254690.937265
530.05585330.1117070.944147
540.06479680.1295940.935203
550.07606810.1521360.923932
560.06580.13160.9342
570.1292960.2585930.870704
580.1526930.3053850.847307
590.1298580.2597160.870142
600.1289450.257890.871055
610.1473020.2946040.852698
620.1309650.2619290.869035
630.1500450.300090.849955
640.1771290.3542580.822871
650.1801560.3603120.819844
660.15990.3197990.8401
670.1568610.3137230.843139
680.1456060.2912120.854394
690.148540.297080.85146
700.1326340.2652680.867366
710.1228810.2457620.877119
720.1065730.2131470.893427
730.09739520.194790.902605
740.09748120.1949620.902519
750.08944260.1788850.910557
760.08222780.1644560.917772
770.07039980.14080.9296
780.07234460.1446890.927655
790.06031890.1206380.939681
800.07635920.1527180.923641
810.06396560.1279310.936034
820.07943910.1588780.920561
830.06809380.1361880.931906
840.1418080.2836150.858192
850.1277640.2555290.872236
860.1125760.2251520.887424
870.09849870.1969970.901501
880.0881570.1763140.911843
890.08425860.1685170.915741
900.0853350.170670.914665
910.09266630.1853330.907334
920.1770710.3541410.822929
930.1698890.3397770.830111
940.1704780.3409550.829522
950.1908240.3816470.809176
960.1826480.3652950.817352
970.2539310.5078620.746069
980.2378530.4757050.762147
990.2476890.4953790.752311
1000.3056220.6112450.694378
1010.2868360.5736710.713164
1020.2725580.5451150.727442
1030.2759330.5518660.724067
1040.2789920.5579840.721008
1050.311580.6231610.68842
1060.3203750.6407510.679625
1070.3310970.6621940.668903
1080.5124580.9750840.487542
1090.5509560.8980890.449044
1100.5462960.9074070.453704
1110.5414080.9171830.458592
1120.514610.9707810.48539
1130.6628130.6743740.337187
1140.6534350.693130.346565
1150.7769670.4460670.223033
1160.8394830.3210350.160517
1170.8200140.3599710.179986
1180.8361460.3277090.163854
1190.8435020.3129950.156498
1200.8682210.2635590.131779
1210.8743390.2513220.125661
1220.8849440.2301110.115056
1230.8800780.2398450.119922
1240.9241180.1517640.0758822
1250.9347160.1305680.0652839
1260.9249390.1501230.0750614
1270.9310040.1379930.0689964
1280.9349180.1301650.0650824
1290.9435360.1129280.0564642
1300.9412890.1174220.0587109
1310.9439660.1120680.0560341
1320.9441690.1116630.0558314
1330.9428090.1143830.0571915
1340.9403340.1193320.0596659
1350.9300550.139890.0699449
1360.9200690.1598610.0799307
1370.9429830.1140340.0570171
1380.9401830.1196350.0598175
1390.933950.1320990.0660497
1400.9241910.1516170.0758086
1410.9109220.1781550.0890775
1420.9509920.09801610.0490081
1430.9507310.09853790.0492689
1440.9502930.09941380.0497069
1450.9451720.1096570.0548284
1460.9446070.1107860.0553932
1470.9378460.1243090.0621543
1480.929630.1407390.0703696
1490.9196030.1607940.080397
1500.9142610.1714780.0857391
1510.9660030.06799460.0339973
1520.9648250.07034940.0351747
1530.9653770.06924580.0346229
1540.9584550.08308980.0415449
1550.9595510.08089790.040449
1560.9521710.09565890.0478295
1570.950920.09816050.0490802
1580.9431210.1137580.0568792
1590.9412750.117450.0587251
1600.9319920.1360150.0680075
1610.9518270.09634640.0481732
1620.9424840.1150310.0575155
1630.9410510.1178990.0589494
1640.9866580.0266850.0133425
1650.9876360.02472750.0123637
1660.9844590.03108240.0155412
1670.9835790.03284120.0164206
1680.9884570.02308670.0115434
1690.985450.02909960.0145498
1700.9856060.02878750.0143937
1710.9830020.03399650.0169983
1720.9881630.02367390.0118369
1730.9865810.0268390.0134195
1740.9840490.03190180.0159509
1750.9813560.03728880.0186444
1760.9852850.02943060.0147153
1770.9824810.03503780.0175189
1780.9815680.03686310.0184316
1790.9788360.0423270.0211635
1800.9860990.02780250.0139013
1810.9847630.03047460.0152373
1820.9832270.03354620.0167731
1830.9801860.03962750.0198137
1840.9768750.04624920.0231246
1850.9760810.04783760.0239188
1860.9725460.05490730.0274537
1870.9832560.03348880.0167444
1880.9799820.04003510.0200176
1890.9767510.04649820.0232491
1900.9711190.05776250.0288813
1910.9668960.06620850.0331043
1920.9669620.06607530.0330376
1930.960570.07886070.0394303
1940.9763870.04722640.0236132
1950.9720980.05580440.0279022
1960.9674310.06513760.0325688
1970.9737270.05254690.0262735
1980.9682480.06350470.0317524
1990.9699470.06010660.0300533
2000.9698180.06036390.0301819
2010.9654210.06915850.0345792
2020.9613770.07724550.0386228
2030.957930.08414050.0420703
2040.9481940.1036120.051806
2050.9366560.1266890.0633443
2060.9493060.1013890.0506943
2070.942260.1154810.0577405
2080.9353530.1292940.0646472
2090.9302490.1395020.0697512
2100.92210.15580.0779
2110.913640.1727210.0863604
2120.9016440.1967130.0983564
2130.9276220.1447560.072378
2140.9160160.1679690.0839845
2150.9101060.1797870.0898937
2160.8933240.2133520.106676
2170.8893470.2213070.110653
2180.8779840.2440320.122016
2190.8536790.2926420.146321
2200.82610.34780.1739
2210.8002970.3994070.199703
2220.8067020.3865960.193298
2230.7740950.4518110.225905
2240.7842420.4315160.215758
2250.7646530.4706940.235347
2260.8229130.3541730.177087
2270.8813540.2372910.118646
2280.8772870.2454260.122713
2290.8732090.2535820.126791
2300.8990680.2018650.100932
2310.9177150.1645710.0822853
2320.8979420.2041170.102058
2330.8823030.2353940.117697
2340.8664310.2671380.133569
2350.8371410.3257180.162859
2360.9417810.1164370.0582186
2370.9448860.1102280.0551138
2380.9636350.07273020.0363651
2390.950860.09827980.0491399
2400.9363290.1273430.0636715
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2450.840010.3199790.15999
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2470.7855340.4289320.214466
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2500.6604190.6791620.339581
2510.6022420.7955170.397758
2520.5629080.8741850.437092
2530.4916150.983230.508385
2540.4561360.9122720.543864
2550.4432280.8864550.556772
2560.3719830.7439660.628017
2570.3389890.6779780.661011
2580.9780210.04395890.0219794
2590.9634670.07306680.0365334
2600.996570.006859950.00342998
2610.9995240.0009527920.000476396
2620.99940.001200320.000600159
2630.9991590.001681510.000840754
2640.9987640.002472350.00123618
2650.9958920.0082160.004108
2660.9884150.02316910.0115846
2670.9876390.02472170.0123608






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level60.0233463NOK
5% type I error level350.136187NOK
10% type I error level670.2607NOK

\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 & 6 & 0.0233463 & NOK \tabularnewline
5% type I error level & 35 & 0.136187 & NOK \tabularnewline
10% type I error level & 67 & 0.2607 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270400&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]6[/C][C]0.0233463[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]35[/C][C]0.136187[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]67[/C][C]0.2607[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270400&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270400&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level60.0233463NOK
5% type I error level350.136187NOK
10% type I error level670.2607NOK


Figures (Output of Computation)

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Figure 10
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Input Parameters & R Code

Parameters (Session):
par1 = 1 2 3 4 5 6 7 ;
Parameters (R input):
par1 = 2 ; 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')
}