FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationTue, 15 Jan 2013 14:35:02 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Jan/15/t1358278525dxea9zlqvsebrz3.htm/, Retrieved Sun, 28 Apr 2024 18:22:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=205518, Retrieved Sun, 28 Apr 2024 18:22:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact131

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [] [2012-12-02 10:36:10] [b98453cac15ba1066b407e146608df68]
- R  D    [Multiple Regression] [] [2013-01-15 19:35:02] [c8e18a68d7e55abb9d5b5bbd2b98426e] [Current]
-    D      [Multiple Regression] [] [2013-01-15 19:38:16] [456f9f31a5baae2eb9a0b13ee35c0d42]
-    D      [Multiple Regression] [] [2013-01-15 19:45:52] [456f9f31a5baae2eb9a0b13ee35c0d42]
-    D        [Multiple Regression] [] [2013-01-15 19:56:35] [456f9f31a5baae2eb9a0b13ee35c0d42]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
102	122	88	1	9	102	918	88	792	9
99	114	106	1	3	99	297	106	318	3
97	140	70	1	2	97	194	70	140	2
82	143	70	1	21	82	1722	70	1470	21
77	122	56	1	10	77	770	56	560	10
65	127	50	1	2	65	130	50	100	2
64	113	48	1	4	64	256	48	192	4
62	118	71	1	4	62	248	71	284	4
62	161	61	1	4	62	248	61	244	4
62	134	66	1	5	62	310	66	330	5
61	96	80	1	2	61	122	80	160	2
59	104	37	1	3	59	177	37	111	3
57	135	53	1	3	57	171	53	159	3
56	110	39	1	6	56	336	39	234	6
54	128	40	1	3	54	162	40	120	3
54	142	59	1	4	54	216	59	236	4
53	117	42	1	3	53	159	42	126	3
52	94	33	1	13	52	676	33	429	13
51	135	36	1	3	51	153	36	108	3
51	121	57	1	4	51	204	57	228	4
51	103	38	1	8	51	408	38	304	8
50	118	98	1	8	50	400	98	784	8
50	127	43	1	3	50	150	43	129	3
50	116	73	1	4	50	200	73	292	4
49	129	52	1	2	49	98	52	104	2
49	115	53	1	5	49	245	53	265	5
49	135	51	1	4	49	196	51	204	4
48	133	32	1	3	48	144	32	96	3
48	113	43	1	3	48	144	43	129	3
47	111	53	1	2	47	94	53	106	2
47	92	50	1	3	47	141	50	150	3
46	118	50	1	3	46	138	50	150	3
46	134	56	1	3	46	138	56	168	3
45	106	53	1	5	45	225	53	265	5
45	137	47	1	3	45	135	47	141	3
45	100	42	1	4	45	180	42	168	4
44	102	29	1	3	44	132	29	87	3
43	134	54	1	4	43	172	54	216	4
42	130	40	1	8	42	336	40	320	8
42	144	41	1	3	42	126	41	123	3
42	120	37	1	4	42	168	37	148	4
42	91	25	1	2	42	84	25	50	2
42	100	27	1	5	42	210	27	135	5
42	134	61	1	4	42	168	61	244	4
41	161	54	1	7	41	287	54	378	7
41	128	35	1	3	41	123	35	105	3
41	124	55	1	4	41	164	55	220	4
41	115	47	1	6	41	246	47	282	6
41	123	49	1	7	41	287	49	343	7
41	117	38	1	20	41	820	38	760	20
41	111	52	1	49	41	2009	52	2548	49
40	146	35	1	3	40	120	35	105	3
40	101	52	1	3	40	120	52	156	3
40	131	54	1	6	40	240	54	324	6
40	122	40	1	6	40	240	40	240	6
40	78	52	1	4	40	160	52	208	4
39	120	34	1	5	39	195	34	170	5
39	115	51	1	4	39	156	51	204	4
38	142	43	1	4	38	152	43	172	4
38	94	40	1	31	38	1178	40	1240	31
36	114	38	1	3	36	108	38	114	3
36	108	33	1	3	36	108	33	99	3
35	119	27	1	4	35	140	27	108	4
35	117	34	1	6	35	210	34	204	6
35	86	44	1	5	35	175	44	220	5
35	138	46	1	3	35	105	46	138	3
34	119	50	1	3	34	102	50	150	3
34	117	31	1	2	34	68	31	62	2
34	117	33	1	3	34	102	33	99	3
33	76	37	1	3	33	99	37	111	3
33	119	48	1	16	33	528	48	768	16
33	119	33	1	3	33	99	33	99	3
32	124	40	1	3	32	96	40	120	3
32	116	21	1	3	32	96	21	63	3
32	118	33	1	2	32	64	33	66	2
31	102	41	1	5	31	155	41	205	5
31	116	35	1	3	31	93	35	105	3
30	103	60	1	4	30	120	60	240	4
30	117	30	1	5	30	150	30	150	5
30	108	45	1	2	30	60	45	90	2
30	122	26	1	3	30	90	26	78	3
29	90	41	1	3	29	87	41	123	3
28	133	48	1	14	28	392	48	672	14
28	116	10	1	8	28	224	10	80	8
27	110	35	1	4	27	108	35	140	4
27	90	23	1	4	27	108	23	92	4
27	74	29	1	3	27	81	29	87	3
26	75	17	1	4	26	104	17	68	4
25	107	35	1	3	25	75	35	105	3
25	90	50	1	5	25	125	50	250	5
25	96	33	1	3	25	75	33	99	3
24	115	23	1	3	24	72	23	69	3
24	91	22	1	2	24	48	22	44	2
23	77	52	1	4	23	92	52	208	4
23	108	38	1	31	23	713	38	1178	31
23	83	32	1	2	23	46	32	64	2
23	77	28	1	5	23	115	28	140	5
23	99	43	1	5	23	115	43	215	5
22	115	32	1	2	22	44	32	64	2
22	99	35	1	2	22	44	35	70	2
22	106	25	1	3	22	66	25	75	3
22	77	14	1	8	22	176	14	112	8
20	115	17	1	6	20	120	17	102	6
19	67	18	1	3	19	57	18	54	3
19	8	12	1	2	19	38	12	24	2
17	69	27	1	5	17	85	27	135	5
17	88	28	1	3	17	51	28	84	3
16	107	12	1	5	16	80	12	60	5
16	120	21	1	5	16	80	21	105	5
5	3	9	1	4	5	20	9	36	4
4	1	11	1	2	4	8	11	22	2
3	0	3	1	4	3	12	3	12	4
156	111	111	0	4	0	624	0	444	0
109	69	137	0	8	0	872	0	1096	0
104	116	112	0	3	0	312	0	336	0
98	103	73	0	4	0	392	0	292	0
78	139	99	0	3	0	234	0	297	0
77	135	115	0	3	0	231	0	345	0
73	113	95	0	3	0	219	0	285	0
71	99	60	0	4	0	284	0	240	0
67	76	94	0	4	0	268	0	376	0
64	110	70	0	5	0	320	0	350	0
62	121	87	0	2	0	124	0	174	0
61	95	102	0	3	0	183	0	306	0
58	66	69	0	4	0	232	0	276	0
58	111	111	0	7	0	406	0	777	0
56	77	55	0	3	0	168	0	165	0
56	101	118	0	4	0	224	0	472	0
52	108	90	0	3	0	156	0	270	0
51	135	81	0	4	0	204	0	324	0
51	70	88	0	4	0	204	0	352	0
50	124	63	0	3	0	150	0	189	0
49	92	84	0	6	0	294	0	504	0
49	104	87	0	4	0	196	0	348	0
48	113	78	0	4	0	192	0	312	0
47	95	93	0	4	0	188	0	372	0
47	89	69	0	4	0	188	0	276	0
46	83	67	0	3	0	138	0	201	0
45	96	61	0	6	0	270	0	366	0
45	95	123	0	4	0	180	0	492	0
45	110	91	0	6	0	270	0	546	0
45	106	98	0	6	0	270	0	588	0
44	78	38	0	2	0	88	0	76	0
44	115	72	0	3	0	132	0	216	0
44	74	59	0	3	0	132	0	177	0
43	93	78	0	2	0	86	0	156	0
43	88	58	0	4	0	172	0	232	0
42	104	97	0	5	0	210	0	485	0
41	86	69	0	3	0	123	0	207	0
41	104	50	0	7	0	287	0	350	0
40	99	66	0	4	0	160	0	264	0
39	101	70	0	3	0	117	0	210	0
39	53	65	0	4	0	156	0	260	0
39	96	69	0	4	0	156	0	276	0
39	58	49	0	3	0	117	0	147	0
39	117	72	0	3	0	117	0	216	0
39	82	74	0	4	0	156	0	296	0
39	57	82	0	5	0	195	0	410	0
38	71	61	0	3	0	114	0	183	0
38	105	72	0	4	0	152	0	288	0
38	60	77	0	6	0	228	0	462	0
38	77	64	0	5	0	190	0	320	0
37	73	23	0	7	0	259	0	161	0
37	78	39	0	5	0	185	0	195	0
37	81	87	0	5	0	185	0	435	0
36	101	46	0	3	0	108	0	138	0
36	118	66	0	5	0	180	0	330	0
36	59	57	0	4	0	144	0	228	0
36	101	48	0	9	0	324	0	432	0
36	22	75	0	3	0	108	0	225	0
36	77	35	0	3	0	108	0	105	0
35	100	53	0	3	0	105	0	159	0
35	39	60	0	3	0	105	0	180	0
34	42	20	0	15	0	510	0	300	0
34	80	66	0	4	0	136	0	264	0
34	48	34	0	6	0	204	0	204	0
34	131	80	0	3	0	102	0	240	0
34	46	63	0	3	0	102	0	189	0
33	89	46	0	3	0	99	0	138	0
33	51	20	0	5	0	165	0	100	0
33	108	73	0	3	0	99	0	219	0
33	86	57	0	4	0	132	0	228	0
33	105	65	0	7	0	231	0	455	0
33	85	70	0	4	0	132	0	280	0
32	103	53	0	5	0	160	0	265	0
32	83	60	0	7	0	224	0	420	0
32	77	34	0	14	0	448	0	476	0
32	26	18	0	25	0	800	0	450	0
32	73	49	0	6	0	192	0	294	0
31	42	27	0	4	0	124	0	108	0
31	71	45	0	3	0	93	0	135	0
31	105	9	0	62	0	1922	0	558	0
30	73	23	0	5	0	150	0	115	0
30	98	61	0	10	0	300	0	610	0
29	108	67	0	4	0	116	0	268	0
29	57	72	0	5	0	145	0	360	0
29	37	58	0	5	0	145	0	290	0
28	70	55	0	4	0	112	0	220	0
28	73	33	0	10	0	280	0	330	0
28	47	40	0	5	0	140	0	200	0
28	73	57	0	3	0	84	0	171	0
28	91	61	0	3	0	84	0	183	0
28	110	87	0	17	0	476	0	1479	0
27	78	65	0	4	0	108	0	260	0
27	92	85	0	6	0	162	0	510	0
27	52	85	0	3	0	81	0	255	0
26	88	54	0	4	0	104	0	216	0
26	100	24	0	8	0	208	0	192	0
26	33	31	0	3	0	78	0	93	0
26	42	64	0	4	0	104	0	256	0
25	81	70	0	4	0	100	0	280	0
25	67	2	0	47	0	1175	0	94	0
24	8	27	0	8	0	192	0	216	0
24	46	29	0	3	0	72	0	87	0
24	83	68	0	5	0	120	0	340	0
24	87	42	0	3	0	72	0	126	0
24	82	78	0	4	0	96	0	312	0
24	63	13	0	30	0	720	0	390	0
24	27	52	0	4	0	96	0	208	0
23	14	25	0	12	0	276	0	300	0
23	83	38	0	8	0	184	0	304	0
23	168	40	0	3	0	69	0	120	0
23	67	42	0	8	0	184	0	336	0
23	21	40	0	4	0	92	0	160	0
23	55	74	0	3	0	69	0	222	0
23	54	73	0	4	0	92	0	292	0
22	118	56	0	4	0	88	0	224	0
22	69	3	0	21	0	462	0	63	0
21	77	9	0	12	0	252	0	108	0
21	72	68	0	3	0	63	0	204	0
21	53	28	0	3	0	63	0	84	0
21	40	36	0	4	0	84	0	144	0
20	102	38	0	6	0	120	0	228	0
20	25	55	0	17	0	340	0	935	0
20	31	36	0	3	0	60	0	108	0
20	77	17	0	18	0	360	0	306	0
20	38	54	0	5	0	100	0	270	0
19	23	57	0	5	0	95	0	285	0
19	91	30	0	16	0	304	0	480	0
19	58	40	0	10	0	190	0	400	0
18	42	37	0	5	0	90	0	185	0
18	44	46	0	4	0	72	0	184	0
18	58	32	0	3	0	54	0	96	0
18	35	34	0	5	0	90	0	170	0
18	88	22	0	4	0	72	0	88	0
17	25	59	0	5	0	85	0	295	0
17	39	32	0	10	0	170	0	320	0
16	48	18	0	12	0	192	0	216	0
16	64	28	0	4	0	64	0	112	0
15	65	34	0	9	0	135	0	306	0
15	95	29	0	12	0	180	0	348	0
15	29	24	0	10	0	150	0	240	0
15	2	24	0	9	0	135	0	216	0
14	83	23	0	17	0	238	0	391	0
13	11	43	0	6	0	78	0	258	0
13	16	28	0	3	0	39	0	84	0
12	9	19	0	4	0	48	0	76	0
11	46	16	0	19	0	209	0	304	0
11	41	40	0	3	0	33	0	120	0
10	14	14	0	9	0	90	0	126	0
10	63	19	0	7	0	70	0	133	0
10	9	22	0	4	0	40	0	88	0
10	0	8	0	3	0	30	0	24	0
9	58	31	0	46	0	414	0	1426	0
8	18	9	0	31	0	248	0	279	0
8	42	18	0	21	0	168	0	378	0
7	26	9	0	7	0	49	0	63	0
7	38	5	0	29	0	203	0	145	0
4	1	11	0	5	0	20	0	55	0

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time17 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 17 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205518&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]17 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205518&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205518&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 time17 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Multiple Linear Regression - Estimated Regression Equation
lfm[t] = + 25.2688974858342 + 0.464773195678478hours[t] + 0.587248756526206blogs[t] + 39.7429922465897uk[t] + 0.99121032012552spr[t] + 0.232474236951041hours_uk[t] -0.00838084933408073hours_spr[t] -0.201811526118702blogs_uk[t] -0.0193634980359121blogs_spr[t] + 0.322641268843535uk_spr[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
lfm[t] =  +  25.2688974858342 +  0.464773195678478hours[t] +  0.587248756526206blogs[t] +  39.7429922465897uk[t] +  0.99121032012552spr[t] +  0.232474236951041hours_uk[t] -0.00838084933408073hours_spr[t] -0.201811526118702blogs_uk[t] -0.0193634980359121blogs_spr[t] +  0.322641268843535uk_spr[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205518&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]lfm[t] =  +  25.2688974858342 +  0.464773195678478hours[t] +  0.587248756526206blogs[t] +  39.7429922465897uk[t] +  0.99121032012552spr[t] +  0.232474236951041hours_uk[t] -0.00838084933408073hours_spr[t] -0.201811526118702blogs_uk[t] -0.0193634980359121blogs_spr[t] +  0.322641268843535uk_spr[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205518&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205518&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
lfm[t] = + 25.2688974858342 + 0.464773195678478hours[t] + 0.587248756526206blogs[t] + 39.7429922465897uk[t] + 0.99121032012552spr[t] + 0.232474236951041hours_uk[t] -0.00838084933408073hours_spr[t] -0.201811526118702blogs_uk[t] -0.0193634980359121blogs_spr[t] + 0.322641268843535uk_spr[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)25.26889748583426.4622813.91020.0001185.9e-05
hours0.4647731956784780.175332.65080.0085240.004262
blogs0.5872487565262060.1428114.11215.3e-052.6e-05
uk39.74299224658979.1613114.33812.1e-051e-05
spr0.991210320125520.5174641.91550.0565280.028264
hours_uk0.2324742369510410.2601790.89350.372410.186205
hours_spr-0.008380849334080730.018055-0.46420.6429090.321455
blogs_uk-0.2018115261187020.241768-0.83470.4046370.202319
blogs_spr-0.01936349803591210.01427-1.35690.1759930.087996
uk_spr0.3226412688435350.6787780.47530.6349550.317477

\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) & 25.2688974858342 & 6.462281 & 3.9102 & 0.000118 & 5.9e-05 \tabularnewline
hours & 0.464773195678478 & 0.17533 & 2.6508 & 0.008524 & 0.004262 \tabularnewline
blogs & 0.587248756526206 & 0.142811 & 4.1121 & 5.3e-05 & 2.6e-05 \tabularnewline
uk & 39.7429922465897 & 9.161311 & 4.3381 & 2.1e-05 & 1e-05 \tabularnewline
spr & 0.99121032012552 & 0.517464 & 1.9155 & 0.056528 & 0.028264 \tabularnewline
hours_uk & 0.232474236951041 & 0.260179 & 0.8935 & 0.37241 & 0.186205 \tabularnewline
hours_spr & -0.00838084933408073 & 0.018055 & -0.4642 & 0.642909 & 0.321455 \tabularnewline
blogs_uk & -0.201811526118702 & 0.241768 & -0.8347 & 0.404637 & 0.202319 \tabularnewline
blogs_spr & -0.0193634980359121 & 0.01427 & -1.3569 & 0.175993 & 0.087996 \tabularnewline
uk_spr & 0.322641268843535 & 0.678778 & 0.4753 & 0.634955 & 0.317477 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205518&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]25.2688974858342[/C][C]6.462281[/C][C]3.9102[/C][C]0.000118[/C][C]5.9e-05[/C][/ROW]
[ROW][C]hours[/C][C]0.464773195678478[/C][C]0.17533[/C][C]2.6508[/C][C]0.008524[/C][C]0.004262[/C][/ROW]
[ROW][C]blogs[/C][C]0.587248756526206[/C][C]0.142811[/C][C]4.1121[/C][C]5.3e-05[/C][C]2.6e-05[/C][/ROW]
[ROW][C]uk[/C][C]39.7429922465897[/C][C]9.161311[/C][C]4.3381[/C][C]2.1e-05[/C][C]1e-05[/C][/ROW]
[ROW][C]spr[/C][C]0.99121032012552[/C][C]0.517464[/C][C]1.9155[/C][C]0.056528[/C][C]0.028264[/C][/ROW]
[ROW][C]hours_uk[/C][C]0.232474236951041[/C][C]0.260179[/C][C]0.8935[/C][C]0.37241[/C][C]0.186205[/C][/ROW]
[ROW][C]hours_spr[/C][C]-0.00838084933408073[/C][C]0.018055[/C][C]-0.4642[/C][C]0.642909[/C][C]0.321455[/C][/ROW]
[ROW][C]blogs_uk[/C][C]-0.201811526118702[/C][C]0.241768[/C][C]-0.8347[/C][C]0.404637[/C][C]0.202319[/C][/ROW]
[ROW][C]blogs_spr[/C][C]-0.0193634980359121[/C][C]0.01427[/C][C]-1.3569[/C][C]0.175993[/C][C]0.087996[/C][/ROW]
[ROW][C]uk_spr[/C][C]0.322641268843535[/C][C]0.678778[/C][C]0.4753[/C][C]0.634955[/C][C]0.317477[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205518&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205518&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)25.26889748583426.4622813.91020.0001185.9e-05
hours0.4647731956784780.175332.65080.0085240.004262
blogs0.5872487565262060.1428114.11215.3e-052.6e-05
uk39.74299224658979.1613114.33812.1e-051e-05
spr0.991210320125520.5174641.91550.0565280.028264
hours_uk0.2324742369510410.2601790.89350.372410.186205
hours_spr-0.008380849334080730.018055-0.46420.6429090.321455
blogs_uk-0.2018115261187020.241768-0.83470.4046370.202319
blogs_spr-0.01936349803591210.01427-1.35690.1759930.087996
uk_spr0.3226412688435350.6787780.47530.6349550.317477






Multiple Linear Regression - Regression Statistics
Multiple R0.714387545150817
R-squared0.510349564666611
Adjusted R-squared0.493334684674331
F-TEST (value)29.9943087990141
F-TEST (DF numerator)9
F-TEST (DF denominator)259
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation25.5163874473554
Sum Squared Residuals168631.28134616

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.714387545150817 \tabularnewline
R-squared & 0.510349564666611 \tabularnewline
Adjusted R-squared & 0.493334684674331 \tabularnewline
F-TEST (value) & 29.9943087990141 \tabularnewline
F-TEST (DF numerator) & 9 \tabularnewline
F-TEST (DF denominator) & 259 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 25.5163874473554 \tabularnewline
Sum Squared Residuals & 168631.28134616 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205518&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.714387545150817[/C][/ROW]
[ROW][C]R-squared[/C][C]0.510349564666611[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.493334684674331[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]29.9943087990141[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]9[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]259[/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]25.5163874473554[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]168631.28134616[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205518&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205518&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 R0.714387545150817
R-squared0.510349564666611
Adjusted R-squared0.493334684674331
F-TEST (value)29.9943087990141
F-TEST (DF numerator)9
F-TEST (DF denominator)259
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation25.5163874473554
Sum Squared Residuals168631.28134616






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1122158.844758304088-36.8447583040881
2114170.190582125207-56.1905821252067
3140157.916425508111-17.9164255081112
4143133.8615040388429.13849596115795
5122136.126129950055-14.1261299500546
6127129.206677334634-2.20667733463417
7113127.52882978373-14.5288297837297
8118133.284996193212-15.284996193212
9161130.20516381057330.7948361894266
10134131.2613280617792.73867193822147
1196136.886041428859-40.8860414288591
12104120.719461935432-16.7194619354317
13135124.61279994697310.3872000530265
14110119.625883562729-9.62588356272934
15128118.3409777211959.65902227880534
16142124.279405051717.7205949482999
17117118.323566309167-1.32356630916692
1894117.095860681959-23.0958606819593
19135115.01527612211419.9847238778862
20121121.672266469293-0.67226646929283
21103116.423046332545-13.4230463325447
22118129.6246004618-11.6246004618002
23127116.63459839158510.3654016084151
24116125.936274246221-9.93627424622133
25129119.0123260599249.98767394007618
26115118.989810021347-3.98981002134678
27135118.49691896912316.5030810308767
28133111.68957452303321.3104254769671
29113115.29038862233-2.29038862233031
30111117.998064826337-6.99806482633679
3192116.909710891801-24.9097108918014
32118116.2376060071741.76239399282587
33134118.20168642497315.7983135750273
34106116.36843727751-10.3684372775103
35137114.58346091364822.4165390863524
36100113.070173683576-13.0701736835758
37102108.019114775624-6.01911477562446
38134115.43852447215618.5614755278443
39130111.21229908317318.7877009168268
40144110.60306584196733.3969341580329
41120109.53908538637710.460914613623
4291104.887749595131-13.887749595131
43100106.898294473706-6.89829447370645
44134116.93068310470917.0693168952905
45161113.88490001856747.1150999814332
46128107.96688053954120.0331194604588
47124114.4190596398339.58094036016684
48115112.075498450892.92450154910992
49123112.63543629778610.3645637022138
50117112.9341260438614.06587395613901
51111111.845179003236-0.845179003235797
52146107.29477565491438.705224345086
53101112.85967017201-11.85967017201
54131113.31332980960917.6866701903907
55122109.54374241892112.4562575810792
5678112.831385889748-34.8313858897484
57120106.95260309742513.0473969025753
58115111.8596786161913.14032138380865
59142108.73208867478733.2679113252127
6094113.770802566608-19.7708025666083
61114105.5883963253048.41160367469584
62108103.9516626438054.04833735619468
63119101.81318475668617.186815243314
64117104.69339328264312.3066067173565
6586107.217427755868-21.2174277558677
66138107.53506533107530.464934668925
67119108.17234739164710.8276526083532
68117101.52412512945415.4758748705458
69117102.60745287455114.3925471254492
7076103.244734935123-27.2447349351226
71119108.24741255228810.7525874477121
72119101.93534798992317.0646520100765
73124103.55467025939520.4453297406054
7411697.33508226969918.664917730301
75118100.85657413020317.1434258697971
76102103.730195791347-1.7301957913474
77116101.24583169326814.7541683067315
78103108.658011442927-5.6580114429273
7911799.900035462880917.0999645371191
80108103.6561254743084.34387452569171
8112297.627606181943324.3723938180567
8290101.865702341813-11.8657023418125
83133105.13216353208527.8678364679152
8411695.473612768170820.5263872318292
8511098.967258380451311.0327416195487
869095.2714595212851-5.27145952128506
877496.5933317369608-22.5933317369608
887592.7598360564087-17.7598360564087
8910797.21320238550489.78679761449518
9090102.395714337644-12.3957143376442
919696.5585089129053-0.558508912905288
9211592.612936665280322.3870633347197
939191.5988756808195-0.598875680819518
9477101.548077289764-24.5480772897641
95108107.6388484349250.361151565075356
968394.385492290215-11.385492290215
977794.7353936807112-17.7353936807112
989999.0646897841304-0.0646897841303653
9911593.705006556253621.2949934437464
1009994.74513725926064.25486274073936
10110691.923420368625314.0765796313747
1027792.6145259249104-15.6145259249104
10311590.411602116003424.5883978839966
1046787.6156785606451-20.6156785606451
105884.7293446676559-76.7293446676559
1066990.5147148247286-21.5147148247286
1078889.5449361543882-1.54493615438825
10810785.530075535350321.4699244646497
10912088.127653197401831.8723468025982
110376.3577654091408-73.3577654091408
111174.1753484238999-73.1753484238999
112073.1824179089713-73.1824179089713
113111153.095926154176-42.0959261541763
11469135.781443553205-66.7814435532045
115116133.229841195408-17.2298411954078
116103108.711236803794-5.71123680379413
117139114.92038694438624.0796130556144
118135122.94728849540512.0527115045951
119113110.6056006563312.39439934366945
1209990.44016031158278.55983968841729
12176106.048183107221-30.048183107221
12211091.618750467243718.3812495327563
123121102.74942410025618.250575899744
12495109.034140721145-14.034140721145
1256689.4220658125777-23.4220658125777
126111105.9007642469335.09923575306709
1277781.9655491490958-4.96554914909577
128101113.539509670639-12.5395096706387
12910898.72756574303739.27243425696274
13013592.520854396773342.4791456032267
1317096.0894177474512-26.0894177474512
13212483.561031362386140.4389686376139
1339291.09576882871460.904231171285425
13410494.71712338638449.28287661361565
13511389.697720708599223.3022792914008
1369596.9133923759954-1.91339237599539
1378984.6783180308144.32168196918599
1388383.9191418213551-0.91914182135505
1399678.603257758871717.3967422411283
14095111.344735710788-16.3447357107878
14111092.735290808193717.2647091918063
14210696.03276518636899.96723481363113
1437867.807650891805710.1923491081943
14411585.685671838094929.3143281619051
1457478.8066144266548-4.80661442665482
1469389.30050981297063.6994901870294
1478877.345576429237310.6544235707627
14810495.55727778042558.44272221957449
1498682.77930510781083.22069489218919
15010471.442980504390332.5570194956097
1519980.130185149271318.8698148507287
15210182.429202074876818.5707979251232
1535379.1891405865465-26.1891405865465
1549681.228319644076814.7716803559232
1555871.316878564089-13.316878564089
15611783.487518599713833.5124814002862
1578283.7772934659896-1.77729346598956
1585786.9322019382016-29.9322019382016
1597177.2271470654344-6.22714706543435
16010582.326454138882322.6735458611177
1616083.2389253541255-23.2389253541255
1627777.6815701949539-0.681570194953913
1637357.622536205610515.3774637943895
1647864.997919587279713.0020804127203
1658188.5386203719187-7.53862037191868
16610168.410511833804832.5894881661952
16711877.81669482963140.183305170369
1685973.8170330764596-14.8170330764596
16910168.029139388890832.9708606111092
1702283.7561014439405-61.7561014439405
1717762.589770947201714.4102290527983
17210071.674989023057928.3250109769421
1733975.3790968599872-36.3790968599872
1744257.6010335001546-15.6010335001546
1758077.54268635921832.45731364078167
1764861.325058918068-13.325058918068
17713185.522631460680345.4773685393197
1784676.5269409995663-30.5269409995664
1798967.091619890776121.9083801092239
1805153.9882497306611-2.98824973066115
18110881.378892976074826.6211070239252
1828672.523283681433213.4767163185668
18310574.969686555793330.0303134442067
1848579.15061561840645.8493843815936
18510369.749612571092433.2503874289076
1868372.305057954079310.6949420459207
1877761.013396384431415.9866036155686
1882660.0741217847302-34.0741217847302
1897367.5620992433815.43790075661896
1904256.3669411532721-14.3669411532721
1917165.68320033300525.31679966699481
19210579.50432088424325.495679115757
1937354.190936682676918.8090633173231
1949870.620382103411727.3796178965883
19510875.896232131890132.1037678681099
1965777.7991997846544-20.7991997846544
1973770.9331620558014-33.9331620558014
1987069.34744516095730.652554839042726
1997358.83726696605814.162733033942
2004761.6825303125537-14.6825303125537
2017370.71420753899812.28579246100188
2029172.83084058867218.169159411328
20311073.595866346608936.4041336533911
2047874.01414300644073.98585699355931
2059282.44809840419759.55190159580254
2065285.091008239039-33.091008239039
2078867.975150799890420.0248492001096
20810053.915645006723846.0843549932762
2093356.0768314207654-23.0768314207654
2104273.073098443716-31.073098443716
2118175.70061723166925.29938276833083
2126772.9819431538274-5.98194315382742
213854.4172145214288-46.4172145214288
2144654.139253600576-8.13925360057603
2158373.72312997422759.27687002577254
2168761.018311012016125.9816889879839
2178279.34772554838752.65227445161253
2186360.20802186618012.7919781338199
2192766.093061674441-39.093061674441
2201454.4122599141207-40.4122599141207
2218358.77523661505124.224763384949
22216859.520363839503108.479636160497
2236760.50459970400676.49540029599333
2242159.5442747035081-38.5442747035081
2255577.5117447617309-22.5117447617309
2265476.3675019281325-22.3675019281325
22711867.269741135286950.7302588647131
2286952.979218014367516.0207819856325
2297748.005665425257528.9943345747425
2307273.4575338918676-1.45753389186764
2315352.29120339512890.70879660487115
2324056.6425960492936-16.6425960492936
23310257.40649659587544.593503404125
2342562.7592590133136-37.7592590133136
2353156.0848388468004-25.0848388468004
2367753.447039863350423.5529601366496
2373865.1656164493421-27.1656164493421
2382366.214041299374-43.214041299374
2399155.734158766721435.2658412332786
2405858.1638810781885-0.163881078188538
2414255.982547023433-13.982547023433
2424460.4467942980927-16.4467942980927
2435853.0889445017744.91105549822597
2443554.5112532243931-19.5112532243931
2458848.211719952911339.7882800470887
2462566.3491659340511-41.3491659340511
2473954.2530414641765-15.2530414641765
2484849.3786314277673-1.37863142776728
2496450.407988942522413.5920110574776
2506554.071200964942110.928799035058
2519552.918183005145642.0818169948544
2522950.3422018501645-21.3422018501645
253249.9414282229121-47.9414282229121
2548352.567249194016630.4327508059834
2551156.8604187397108-45.8604187397108
2561648.774158213719-32.774158213719
257944.0948368697107-35.0948368697107
2584650.9722779113615-4.97227791136148
2594154.2447960673881-13.2447960673881
2601443.8649277225233-29.8649277225234
2616344.850823365333618.1491766346664
262944.7617215661741-35.7617215661741
263036.8721010223209-36.8721010223209
2645862.1702226015067-4.17022260150673
2651857.5189751970175-39.5189751970175
2664251.6455924456693-9.64559244566932
2672639.1154589115656-13.1154589115656
2683855.694633291829-17.694633291829
269137.3111688123072-36.3111688123072

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 122 & 158.844758304088 & -36.8447583040881 \tabularnewline
2 & 114 & 170.190582125207 & -56.1905821252067 \tabularnewline
3 & 140 & 157.916425508111 & -17.9164255081112 \tabularnewline
4 & 143 & 133.861504038842 & 9.13849596115795 \tabularnewline
5 & 122 & 136.126129950055 & -14.1261299500546 \tabularnewline
6 & 127 & 129.206677334634 & -2.20667733463417 \tabularnewline
7 & 113 & 127.52882978373 & -14.5288297837297 \tabularnewline
8 & 118 & 133.284996193212 & -15.284996193212 \tabularnewline
9 & 161 & 130.205163810573 & 30.7948361894266 \tabularnewline
10 & 134 & 131.261328061779 & 2.73867193822147 \tabularnewline
11 & 96 & 136.886041428859 & -40.8860414288591 \tabularnewline
12 & 104 & 120.719461935432 & -16.7194619354317 \tabularnewline
13 & 135 & 124.612799946973 & 10.3872000530265 \tabularnewline
14 & 110 & 119.625883562729 & -9.62588356272934 \tabularnewline
15 & 128 & 118.340977721195 & 9.65902227880534 \tabularnewline
16 & 142 & 124.2794050517 & 17.7205949482999 \tabularnewline
17 & 117 & 118.323566309167 & -1.32356630916692 \tabularnewline
18 & 94 & 117.095860681959 & -23.0958606819593 \tabularnewline
19 & 135 & 115.015276122114 & 19.9847238778862 \tabularnewline
20 & 121 & 121.672266469293 & -0.67226646929283 \tabularnewline
21 & 103 & 116.423046332545 & -13.4230463325447 \tabularnewline
22 & 118 & 129.6246004618 & -11.6246004618002 \tabularnewline
23 & 127 & 116.634598391585 & 10.3654016084151 \tabularnewline
24 & 116 & 125.936274246221 & -9.93627424622133 \tabularnewline
25 & 129 & 119.012326059924 & 9.98767394007618 \tabularnewline
26 & 115 & 118.989810021347 & -3.98981002134678 \tabularnewline
27 & 135 & 118.496918969123 & 16.5030810308767 \tabularnewline
28 & 133 & 111.689574523033 & 21.3104254769671 \tabularnewline
29 & 113 & 115.29038862233 & -2.29038862233031 \tabularnewline
30 & 111 & 117.998064826337 & -6.99806482633679 \tabularnewline
31 & 92 & 116.909710891801 & -24.9097108918014 \tabularnewline
32 & 118 & 116.237606007174 & 1.76239399282587 \tabularnewline
33 & 134 & 118.201686424973 & 15.7983135750273 \tabularnewline
34 & 106 & 116.36843727751 & -10.3684372775103 \tabularnewline
35 & 137 & 114.583460913648 & 22.4165390863524 \tabularnewline
36 & 100 & 113.070173683576 & -13.0701736835758 \tabularnewline
37 & 102 & 108.019114775624 & -6.01911477562446 \tabularnewline
38 & 134 & 115.438524472156 & 18.5614755278443 \tabularnewline
39 & 130 & 111.212299083173 & 18.7877009168268 \tabularnewline
40 & 144 & 110.603065841967 & 33.3969341580329 \tabularnewline
41 & 120 & 109.539085386377 & 10.460914613623 \tabularnewline
42 & 91 & 104.887749595131 & -13.887749595131 \tabularnewline
43 & 100 & 106.898294473706 & -6.89829447370645 \tabularnewline
44 & 134 & 116.930683104709 & 17.0693168952905 \tabularnewline
45 & 161 & 113.884900018567 & 47.1150999814332 \tabularnewline
46 & 128 & 107.966880539541 & 20.0331194604588 \tabularnewline
47 & 124 & 114.419059639833 & 9.58094036016684 \tabularnewline
48 & 115 & 112.07549845089 & 2.92450154910992 \tabularnewline
49 & 123 & 112.635436297786 & 10.3645637022138 \tabularnewline
50 & 117 & 112.934126043861 & 4.06587395613901 \tabularnewline
51 & 111 & 111.845179003236 & -0.845179003235797 \tabularnewline
52 & 146 & 107.294775654914 & 38.705224345086 \tabularnewline
53 & 101 & 112.85967017201 & -11.85967017201 \tabularnewline
54 & 131 & 113.313329809609 & 17.6866701903907 \tabularnewline
55 & 122 & 109.543742418921 & 12.4562575810792 \tabularnewline
56 & 78 & 112.831385889748 & -34.8313858897484 \tabularnewline
57 & 120 & 106.952603097425 & 13.0473969025753 \tabularnewline
58 & 115 & 111.859678616191 & 3.14032138380865 \tabularnewline
59 & 142 & 108.732088674787 & 33.2679113252127 \tabularnewline
60 & 94 & 113.770802566608 & -19.7708025666083 \tabularnewline
61 & 114 & 105.588396325304 & 8.41160367469584 \tabularnewline
62 & 108 & 103.951662643805 & 4.04833735619468 \tabularnewline
63 & 119 & 101.813184756686 & 17.186815243314 \tabularnewline
64 & 117 & 104.693393282643 & 12.3066067173565 \tabularnewline
65 & 86 & 107.217427755868 & -21.2174277558677 \tabularnewline
66 & 138 & 107.535065331075 & 30.464934668925 \tabularnewline
67 & 119 & 108.172347391647 & 10.8276526083532 \tabularnewline
68 & 117 & 101.524125129454 & 15.4758748705458 \tabularnewline
69 & 117 & 102.607452874551 & 14.3925471254492 \tabularnewline
70 & 76 & 103.244734935123 & -27.2447349351226 \tabularnewline
71 & 119 & 108.247412552288 & 10.7525874477121 \tabularnewline
72 & 119 & 101.935347989923 & 17.0646520100765 \tabularnewline
73 & 124 & 103.554670259395 & 20.4453297406054 \tabularnewline
74 & 116 & 97.335082269699 & 18.664917730301 \tabularnewline
75 & 118 & 100.856574130203 & 17.1434258697971 \tabularnewline
76 & 102 & 103.730195791347 & -1.7301957913474 \tabularnewline
77 & 116 & 101.245831693268 & 14.7541683067315 \tabularnewline
78 & 103 & 108.658011442927 & -5.6580114429273 \tabularnewline
79 & 117 & 99.9000354628809 & 17.0999645371191 \tabularnewline
80 & 108 & 103.656125474308 & 4.34387452569171 \tabularnewline
81 & 122 & 97.6276061819433 & 24.3723938180567 \tabularnewline
82 & 90 & 101.865702341813 & -11.8657023418125 \tabularnewline
83 & 133 & 105.132163532085 & 27.8678364679152 \tabularnewline
84 & 116 & 95.4736127681708 & 20.5263872318292 \tabularnewline
85 & 110 & 98.9672583804513 & 11.0327416195487 \tabularnewline
86 & 90 & 95.2714595212851 & -5.27145952128506 \tabularnewline
87 & 74 & 96.5933317369608 & -22.5933317369608 \tabularnewline
88 & 75 & 92.7598360564087 & -17.7598360564087 \tabularnewline
89 & 107 & 97.2132023855048 & 9.78679761449518 \tabularnewline
90 & 90 & 102.395714337644 & -12.3957143376442 \tabularnewline
91 & 96 & 96.5585089129053 & -0.558508912905288 \tabularnewline
92 & 115 & 92.6129366652803 & 22.3870633347197 \tabularnewline
93 & 91 & 91.5988756808195 & -0.598875680819518 \tabularnewline
94 & 77 & 101.548077289764 & -24.5480772897641 \tabularnewline
95 & 108 & 107.638848434925 & 0.361151565075356 \tabularnewline
96 & 83 & 94.385492290215 & -11.385492290215 \tabularnewline
97 & 77 & 94.7353936807112 & -17.7353936807112 \tabularnewline
98 & 99 & 99.0646897841304 & -0.0646897841303653 \tabularnewline
99 & 115 & 93.7050065562536 & 21.2949934437464 \tabularnewline
100 & 99 & 94.7451372592606 & 4.25486274073936 \tabularnewline
101 & 106 & 91.9234203686253 & 14.0765796313747 \tabularnewline
102 & 77 & 92.6145259249104 & -15.6145259249104 \tabularnewline
103 & 115 & 90.4116021160034 & 24.5883978839966 \tabularnewline
104 & 67 & 87.6156785606451 & -20.6156785606451 \tabularnewline
105 & 8 & 84.7293446676559 & -76.7293446676559 \tabularnewline
106 & 69 & 90.5147148247286 & -21.5147148247286 \tabularnewline
107 & 88 & 89.5449361543882 & -1.54493615438825 \tabularnewline
108 & 107 & 85.5300755353503 & 21.4699244646497 \tabularnewline
109 & 120 & 88.1276531974018 & 31.8723468025982 \tabularnewline
110 & 3 & 76.3577654091408 & -73.3577654091408 \tabularnewline
111 & 1 & 74.1753484238999 & -73.1753484238999 \tabularnewline
112 & 0 & 73.1824179089713 & -73.1824179089713 \tabularnewline
113 & 111 & 153.095926154176 & -42.0959261541763 \tabularnewline
114 & 69 & 135.781443553205 & -66.7814435532045 \tabularnewline
115 & 116 & 133.229841195408 & -17.2298411954078 \tabularnewline
116 & 103 & 108.711236803794 & -5.71123680379413 \tabularnewline
117 & 139 & 114.920386944386 & 24.0796130556144 \tabularnewline
118 & 135 & 122.947288495405 & 12.0527115045951 \tabularnewline
119 & 113 & 110.605600656331 & 2.39439934366945 \tabularnewline
120 & 99 & 90.4401603115827 & 8.55983968841729 \tabularnewline
121 & 76 & 106.048183107221 & -30.048183107221 \tabularnewline
122 & 110 & 91.6187504672437 & 18.3812495327563 \tabularnewline
123 & 121 & 102.749424100256 & 18.250575899744 \tabularnewline
124 & 95 & 109.034140721145 & -14.034140721145 \tabularnewline
125 & 66 & 89.4220658125777 & -23.4220658125777 \tabularnewline
126 & 111 & 105.900764246933 & 5.09923575306709 \tabularnewline
127 & 77 & 81.9655491490958 & -4.96554914909577 \tabularnewline
128 & 101 & 113.539509670639 & -12.5395096706387 \tabularnewline
129 & 108 & 98.7275657430373 & 9.27243425696274 \tabularnewline
130 & 135 & 92.5208543967733 & 42.4791456032267 \tabularnewline
131 & 70 & 96.0894177474512 & -26.0894177474512 \tabularnewline
132 & 124 & 83.5610313623861 & 40.4389686376139 \tabularnewline
133 & 92 & 91.0957688287146 & 0.904231171285425 \tabularnewline
134 & 104 & 94.7171233863844 & 9.28287661361565 \tabularnewline
135 & 113 & 89.6977207085992 & 23.3022792914008 \tabularnewline
136 & 95 & 96.9133923759954 & -1.91339237599539 \tabularnewline
137 & 89 & 84.678318030814 & 4.32168196918599 \tabularnewline
138 & 83 & 83.9191418213551 & -0.91914182135505 \tabularnewline
139 & 96 & 78.6032577588717 & 17.3967422411283 \tabularnewline
140 & 95 & 111.344735710788 & -16.3447357107878 \tabularnewline
141 & 110 & 92.7352908081937 & 17.2647091918063 \tabularnewline
142 & 106 & 96.0327651863689 & 9.96723481363113 \tabularnewline
143 & 78 & 67.8076508918057 & 10.1923491081943 \tabularnewline
144 & 115 & 85.6856718380949 & 29.3143281619051 \tabularnewline
145 & 74 & 78.8066144266548 & -4.80661442665482 \tabularnewline
146 & 93 & 89.3005098129706 & 3.6994901870294 \tabularnewline
147 & 88 & 77.3455764292373 & 10.6544235707627 \tabularnewline
148 & 104 & 95.5572777804255 & 8.44272221957449 \tabularnewline
149 & 86 & 82.7793051078108 & 3.22069489218919 \tabularnewline
150 & 104 & 71.4429805043903 & 32.5570194956097 \tabularnewline
151 & 99 & 80.1301851492713 & 18.8698148507287 \tabularnewline
152 & 101 & 82.4292020748768 & 18.5707979251232 \tabularnewline
153 & 53 & 79.1891405865465 & -26.1891405865465 \tabularnewline
154 & 96 & 81.2283196440768 & 14.7716803559232 \tabularnewline
155 & 58 & 71.316878564089 & -13.316878564089 \tabularnewline
156 & 117 & 83.4875185997138 & 33.5124814002862 \tabularnewline
157 & 82 & 83.7772934659896 & -1.77729346598956 \tabularnewline
158 & 57 & 86.9322019382016 & -29.9322019382016 \tabularnewline
159 & 71 & 77.2271470654344 & -6.22714706543435 \tabularnewline
160 & 105 & 82.3264541388823 & 22.6735458611177 \tabularnewline
161 & 60 & 83.2389253541255 & -23.2389253541255 \tabularnewline
162 & 77 & 77.6815701949539 & -0.681570194953913 \tabularnewline
163 & 73 & 57.6225362056105 & 15.3774637943895 \tabularnewline
164 & 78 & 64.9979195872797 & 13.0020804127203 \tabularnewline
165 & 81 & 88.5386203719187 & -7.53862037191868 \tabularnewline
166 & 101 & 68.4105118338048 & 32.5894881661952 \tabularnewline
167 & 118 & 77.816694829631 & 40.183305170369 \tabularnewline
168 & 59 & 73.8170330764596 & -14.8170330764596 \tabularnewline
169 & 101 & 68.0291393888908 & 32.9708606111092 \tabularnewline
170 & 22 & 83.7561014439405 & -61.7561014439405 \tabularnewline
171 & 77 & 62.5897709472017 & 14.4102290527983 \tabularnewline
172 & 100 & 71.6749890230579 & 28.3250109769421 \tabularnewline
173 & 39 & 75.3790968599872 & -36.3790968599872 \tabularnewline
174 & 42 & 57.6010335001546 & -15.6010335001546 \tabularnewline
175 & 80 & 77.5426863592183 & 2.45731364078167 \tabularnewline
176 & 48 & 61.325058918068 & -13.325058918068 \tabularnewline
177 & 131 & 85.5226314606803 & 45.4773685393197 \tabularnewline
178 & 46 & 76.5269409995663 & -30.5269409995664 \tabularnewline
179 & 89 & 67.0916198907761 & 21.9083801092239 \tabularnewline
180 & 51 & 53.9882497306611 & -2.98824973066115 \tabularnewline
181 & 108 & 81.3788929760748 & 26.6211070239252 \tabularnewline
182 & 86 & 72.5232836814332 & 13.4767163185668 \tabularnewline
183 & 105 & 74.9696865557933 & 30.0303134442067 \tabularnewline
184 & 85 & 79.1506156184064 & 5.8493843815936 \tabularnewline
185 & 103 & 69.7496125710924 & 33.2503874289076 \tabularnewline
186 & 83 & 72.3050579540793 & 10.6949420459207 \tabularnewline
187 & 77 & 61.0133963844314 & 15.9866036155686 \tabularnewline
188 & 26 & 60.0741217847302 & -34.0741217847302 \tabularnewline
189 & 73 & 67.562099243381 & 5.43790075661896 \tabularnewline
190 & 42 & 56.3669411532721 & -14.3669411532721 \tabularnewline
191 & 71 & 65.6832003330052 & 5.31679966699481 \tabularnewline
192 & 105 & 79.504320884243 & 25.495679115757 \tabularnewline
193 & 73 & 54.1909366826769 & 18.8090633173231 \tabularnewline
194 & 98 & 70.6203821034117 & 27.3796178965883 \tabularnewline
195 & 108 & 75.8962321318901 & 32.1037678681099 \tabularnewline
196 & 57 & 77.7991997846544 & -20.7991997846544 \tabularnewline
197 & 37 & 70.9331620558014 & -33.9331620558014 \tabularnewline
198 & 70 & 69.3474451609573 & 0.652554839042726 \tabularnewline
199 & 73 & 58.837266966058 & 14.162733033942 \tabularnewline
200 & 47 & 61.6825303125537 & -14.6825303125537 \tabularnewline
201 & 73 & 70.7142075389981 & 2.28579246100188 \tabularnewline
202 & 91 & 72.830840588672 & 18.169159411328 \tabularnewline
203 & 110 & 73.5958663466089 & 36.4041336533911 \tabularnewline
204 & 78 & 74.0141430064407 & 3.98585699355931 \tabularnewline
205 & 92 & 82.4480984041975 & 9.55190159580254 \tabularnewline
206 & 52 & 85.091008239039 & -33.091008239039 \tabularnewline
207 & 88 & 67.9751507998904 & 20.0248492001096 \tabularnewline
208 & 100 & 53.9156450067238 & 46.0843549932762 \tabularnewline
209 & 33 & 56.0768314207654 & -23.0768314207654 \tabularnewline
210 & 42 & 73.073098443716 & -31.073098443716 \tabularnewline
211 & 81 & 75.7006172316692 & 5.29938276833083 \tabularnewline
212 & 67 & 72.9819431538274 & -5.98194315382742 \tabularnewline
213 & 8 & 54.4172145214288 & -46.4172145214288 \tabularnewline
214 & 46 & 54.139253600576 & -8.13925360057603 \tabularnewline
215 & 83 & 73.7231299742275 & 9.27687002577254 \tabularnewline
216 & 87 & 61.0183110120161 & 25.9816889879839 \tabularnewline
217 & 82 & 79.3477255483875 & 2.65227445161253 \tabularnewline
218 & 63 & 60.2080218661801 & 2.7919781338199 \tabularnewline
219 & 27 & 66.093061674441 & -39.093061674441 \tabularnewline
220 & 14 & 54.4122599141207 & -40.4122599141207 \tabularnewline
221 & 83 & 58.775236615051 & 24.224763384949 \tabularnewline
222 & 168 & 59.520363839503 & 108.479636160497 \tabularnewline
223 & 67 & 60.5045997040067 & 6.49540029599333 \tabularnewline
224 & 21 & 59.5442747035081 & -38.5442747035081 \tabularnewline
225 & 55 & 77.5117447617309 & -22.5117447617309 \tabularnewline
226 & 54 & 76.3675019281325 & -22.3675019281325 \tabularnewline
227 & 118 & 67.2697411352869 & 50.7302588647131 \tabularnewline
228 & 69 & 52.9792180143675 & 16.0207819856325 \tabularnewline
229 & 77 & 48.0056654252575 & 28.9943345747425 \tabularnewline
230 & 72 & 73.4575338918676 & -1.45753389186764 \tabularnewline
231 & 53 & 52.2912033951289 & 0.70879660487115 \tabularnewline
232 & 40 & 56.6425960492936 & -16.6425960492936 \tabularnewline
233 & 102 & 57.406496595875 & 44.593503404125 \tabularnewline
234 & 25 & 62.7592590133136 & -37.7592590133136 \tabularnewline
235 & 31 & 56.0848388468004 & -25.0848388468004 \tabularnewline
236 & 77 & 53.4470398633504 & 23.5529601366496 \tabularnewline
237 & 38 & 65.1656164493421 & -27.1656164493421 \tabularnewline
238 & 23 & 66.214041299374 & -43.214041299374 \tabularnewline
239 & 91 & 55.7341587667214 & 35.2658412332786 \tabularnewline
240 & 58 & 58.1638810781885 & -0.163881078188538 \tabularnewline
241 & 42 & 55.982547023433 & -13.982547023433 \tabularnewline
242 & 44 & 60.4467942980927 & -16.4467942980927 \tabularnewline
243 & 58 & 53.088944501774 & 4.91105549822597 \tabularnewline
244 & 35 & 54.5112532243931 & -19.5112532243931 \tabularnewline
245 & 88 & 48.2117199529113 & 39.7882800470887 \tabularnewline
246 & 25 & 66.3491659340511 & -41.3491659340511 \tabularnewline
247 & 39 & 54.2530414641765 & -15.2530414641765 \tabularnewline
248 & 48 & 49.3786314277673 & -1.37863142776728 \tabularnewline
249 & 64 & 50.4079889425224 & 13.5920110574776 \tabularnewline
250 & 65 & 54.0712009649421 & 10.928799035058 \tabularnewline
251 & 95 & 52.9181830051456 & 42.0818169948544 \tabularnewline
252 & 29 & 50.3422018501645 & -21.3422018501645 \tabularnewline
253 & 2 & 49.9414282229121 & -47.9414282229121 \tabularnewline
254 & 83 & 52.5672491940166 & 30.4327508059834 \tabularnewline
255 & 11 & 56.8604187397108 & -45.8604187397108 \tabularnewline
256 & 16 & 48.774158213719 & -32.774158213719 \tabularnewline
257 & 9 & 44.0948368697107 & -35.0948368697107 \tabularnewline
258 & 46 & 50.9722779113615 & -4.97227791136148 \tabularnewline
259 & 41 & 54.2447960673881 & -13.2447960673881 \tabularnewline
260 & 14 & 43.8649277225233 & -29.8649277225234 \tabularnewline
261 & 63 & 44.8508233653336 & 18.1491766346664 \tabularnewline
262 & 9 & 44.7617215661741 & -35.7617215661741 \tabularnewline
263 & 0 & 36.8721010223209 & -36.8721010223209 \tabularnewline
264 & 58 & 62.1702226015067 & -4.17022260150673 \tabularnewline
265 & 18 & 57.5189751970175 & -39.5189751970175 \tabularnewline
266 & 42 & 51.6455924456693 & -9.64559244566932 \tabularnewline
267 & 26 & 39.1154589115656 & -13.1154589115656 \tabularnewline
268 & 38 & 55.694633291829 & -17.694633291829 \tabularnewline
269 & 1 & 37.3111688123072 & -36.3111688123072 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205518&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]122[/C][C]158.844758304088[/C][C]-36.8447583040881[/C][/ROW]
[ROW][C]2[/C][C]114[/C][C]170.190582125207[/C][C]-56.1905821252067[/C][/ROW]
[ROW][C]3[/C][C]140[/C][C]157.916425508111[/C][C]-17.9164255081112[/C][/ROW]
[ROW][C]4[/C][C]143[/C][C]133.861504038842[/C][C]9.13849596115795[/C][/ROW]
[ROW][C]5[/C][C]122[/C][C]136.126129950055[/C][C]-14.1261299500546[/C][/ROW]
[ROW][C]6[/C][C]127[/C][C]129.206677334634[/C][C]-2.20667733463417[/C][/ROW]
[ROW][C]7[/C][C]113[/C][C]127.52882978373[/C][C]-14.5288297837297[/C][/ROW]
[ROW][C]8[/C][C]118[/C][C]133.284996193212[/C][C]-15.284996193212[/C][/ROW]
[ROW][C]9[/C][C]161[/C][C]130.205163810573[/C][C]30.7948361894266[/C][/ROW]
[ROW][C]10[/C][C]134[/C][C]131.261328061779[/C][C]2.73867193822147[/C][/ROW]
[ROW][C]11[/C][C]96[/C][C]136.886041428859[/C][C]-40.8860414288591[/C][/ROW]
[ROW][C]12[/C][C]104[/C][C]120.719461935432[/C][C]-16.7194619354317[/C][/ROW]
[ROW][C]13[/C][C]135[/C][C]124.612799946973[/C][C]10.3872000530265[/C][/ROW]
[ROW][C]14[/C][C]110[/C][C]119.625883562729[/C][C]-9.62588356272934[/C][/ROW]
[ROW][C]15[/C][C]128[/C][C]118.340977721195[/C][C]9.65902227880534[/C][/ROW]
[ROW][C]16[/C][C]142[/C][C]124.2794050517[/C][C]17.7205949482999[/C][/ROW]
[ROW][C]17[/C][C]117[/C][C]118.323566309167[/C][C]-1.32356630916692[/C][/ROW]
[ROW][C]18[/C][C]94[/C][C]117.095860681959[/C][C]-23.0958606819593[/C][/ROW]
[ROW][C]19[/C][C]135[/C][C]115.015276122114[/C][C]19.9847238778862[/C][/ROW]
[ROW][C]20[/C][C]121[/C][C]121.672266469293[/C][C]-0.67226646929283[/C][/ROW]
[ROW][C]21[/C][C]103[/C][C]116.423046332545[/C][C]-13.4230463325447[/C][/ROW]
[ROW][C]22[/C][C]118[/C][C]129.6246004618[/C][C]-11.6246004618002[/C][/ROW]
[ROW][C]23[/C][C]127[/C][C]116.634598391585[/C][C]10.3654016084151[/C][/ROW]
[ROW][C]24[/C][C]116[/C][C]125.936274246221[/C][C]-9.93627424622133[/C][/ROW]
[ROW][C]25[/C][C]129[/C][C]119.012326059924[/C][C]9.98767394007618[/C][/ROW]
[ROW][C]26[/C][C]115[/C][C]118.989810021347[/C][C]-3.98981002134678[/C][/ROW]
[ROW][C]27[/C][C]135[/C][C]118.496918969123[/C][C]16.5030810308767[/C][/ROW]
[ROW][C]28[/C][C]133[/C][C]111.689574523033[/C][C]21.3104254769671[/C][/ROW]
[ROW][C]29[/C][C]113[/C][C]115.29038862233[/C][C]-2.29038862233031[/C][/ROW]
[ROW][C]30[/C][C]111[/C][C]117.998064826337[/C][C]-6.99806482633679[/C][/ROW]
[ROW][C]31[/C][C]92[/C][C]116.909710891801[/C][C]-24.9097108918014[/C][/ROW]
[ROW][C]32[/C][C]118[/C][C]116.237606007174[/C][C]1.76239399282587[/C][/ROW]
[ROW][C]33[/C][C]134[/C][C]118.201686424973[/C][C]15.7983135750273[/C][/ROW]
[ROW][C]34[/C][C]106[/C][C]116.36843727751[/C][C]-10.3684372775103[/C][/ROW]
[ROW][C]35[/C][C]137[/C][C]114.583460913648[/C][C]22.4165390863524[/C][/ROW]
[ROW][C]36[/C][C]100[/C][C]113.070173683576[/C][C]-13.0701736835758[/C][/ROW]
[ROW][C]37[/C][C]102[/C][C]108.019114775624[/C][C]-6.01911477562446[/C][/ROW]
[ROW][C]38[/C][C]134[/C][C]115.438524472156[/C][C]18.5614755278443[/C][/ROW]
[ROW][C]39[/C][C]130[/C][C]111.212299083173[/C][C]18.7877009168268[/C][/ROW]
[ROW][C]40[/C][C]144[/C][C]110.603065841967[/C][C]33.3969341580329[/C][/ROW]
[ROW][C]41[/C][C]120[/C][C]109.539085386377[/C][C]10.460914613623[/C][/ROW]
[ROW][C]42[/C][C]91[/C][C]104.887749595131[/C][C]-13.887749595131[/C][/ROW]
[ROW][C]43[/C][C]100[/C][C]106.898294473706[/C][C]-6.89829447370645[/C][/ROW]
[ROW][C]44[/C][C]134[/C][C]116.930683104709[/C][C]17.0693168952905[/C][/ROW]
[ROW][C]45[/C][C]161[/C][C]113.884900018567[/C][C]47.1150999814332[/C][/ROW]
[ROW][C]46[/C][C]128[/C][C]107.966880539541[/C][C]20.0331194604588[/C][/ROW]
[ROW][C]47[/C][C]124[/C][C]114.419059639833[/C][C]9.58094036016684[/C][/ROW]
[ROW][C]48[/C][C]115[/C][C]112.07549845089[/C][C]2.92450154910992[/C][/ROW]
[ROW][C]49[/C][C]123[/C][C]112.635436297786[/C][C]10.3645637022138[/C][/ROW]
[ROW][C]50[/C][C]117[/C][C]112.934126043861[/C][C]4.06587395613901[/C][/ROW]
[ROW][C]51[/C][C]111[/C][C]111.845179003236[/C][C]-0.845179003235797[/C][/ROW]
[ROW][C]52[/C][C]146[/C][C]107.294775654914[/C][C]38.705224345086[/C][/ROW]
[ROW][C]53[/C][C]101[/C][C]112.85967017201[/C][C]-11.85967017201[/C][/ROW]
[ROW][C]54[/C][C]131[/C][C]113.313329809609[/C][C]17.6866701903907[/C][/ROW]
[ROW][C]55[/C][C]122[/C][C]109.543742418921[/C][C]12.4562575810792[/C][/ROW]
[ROW][C]56[/C][C]78[/C][C]112.831385889748[/C][C]-34.8313858897484[/C][/ROW]
[ROW][C]57[/C][C]120[/C][C]106.952603097425[/C][C]13.0473969025753[/C][/ROW]
[ROW][C]58[/C][C]115[/C][C]111.859678616191[/C][C]3.14032138380865[/C][/ROW]
[ROW][C]59[/C][C]142[/C][C]108.732088674787[/C][C]33.2679113252127[/C][/ROW]
[ROW][C]60[/C][C]94[/C][C]113.770802566608[/C][C]-19.7708025666083[/C][/ROW]
[ROW][C]61[/C][C]114[/C][C]105.588396325304[/C][C]8.41160367469584[/C][/ROW]
[ROW][C]62[/C][C]108[/C][C]103.951662643805[/C][C]4.04833735619468[/C][/ROW]
[ROW][C]63[/C][C]119[/C][C]101.813184756686[/C][C]17.186815243314[/C][/ROW]
[ROW][C]64[/C][C]117[/C][C]104.693393282643[/C][C]12.3066067173565[/C][/ROW]
[ROW][C]65[/C][C]86[/C][C]107.217427755868[/C][C]-21.2174277558677[/C][/ROW]
[ROW][C]66[/C][C]138[/C][C]107.535065331075[/C][C]30.464934668925[/C][/ROW]
[ROW][C]67[/C][C]119[/C][C]108.172347391647[/C][C]10.8276526083532[/C][/ROW]
[ROW][C]68[/C][C]117[/C][C]101.524125129454[/C][C]15.4758748705458[/C][/ROW]
[ROW][C]69[/C][C]117[/C][C]102.607452874551[/C][C]14.3925471254492[/C][/ROW]
[ROW][C]70[/C][C]76[/C][C]103.244734935123[/C][C]-27.2447349351226[/C][/ROW]
[ROW][C]71[/C][C]119[/C][C]108.247412552288[/C][C]10.7525874477121[/C][/ROW]
[ROW][C]72[/C][C]119[/C][C]101.935347989923[/C][C]17.0646520100765[/C][/ROW]
[ROW][C]73[/C][C]124[/C][C]103.554670259395[/C][C]20.4453297406054[/C][/ROW]
[ROW][C]74[/C][C]116[/C][C]97.335082269699[/C][C]18.664917730301[/C][/ROW]
[ROW][C]75[/C][C]118[/C][C]100.856574130203[/C][C]17.1434258697971[/C][/ROW]
[ROW][C]76[/C][C]102[/C][C]103.730195791347[/C][C]-1.7301957913474[/C][/ROW]
[ROW][C]77[/C][C]116[/C][C]101.245831693268[/C][C]14.7541683067315[/C][/ROW]
[ROW][C]78[/C][C]103[/C][C]108.658011442927[/C][C]-5.6580114429273[/C][/ROW]
[ROW][C]79[/C][C]117[/C][C]99.9000354628809[/C][C]17.0999645371191[/C][/ROW]
[ROW][C]80[/C][C]108[/C][C]103.656125474308[/C][C]4.34387452569171[/C][/ROW]
[ROW][C]81[/C][C]122[/C][C]97.6276061819433[/C][C]24.3723938180567[/C][/ROW]
[ROW][C]82[/C][C]90[/C][C]101.865702341813[/C][C]-11.8657023418125[/C][/ROW]
[ROW][C]83[/C][C]133[/C][C]105.132163532085[/C][C]27.8678364679152[/C][/ROW]
[ROW][C]84[/C][C]116[/C][C]95.4736127681708[/C][C]20.5263872318292[/C][/ROW]
[ROW][C]85[/C][C]110[/C][C]98.9672583804513[/C][C]11.0327416195487[/C][/ROW]
[ROW][C]86[/C][C]90[/C][C]95.2714595212851[/C][C]-5.27145952128506[/C][/ROW]
[ROW][C]87[/C][C]74[/C][C]96.5933317369608[/C][C]-22.5933317369608[/C][/ROW]
[ROW][C]88[/C][C]75[/C][C]92.7598360564087[/C][C]-17.7598360564087[/C][/ROW]
[ROW][C]89[/C][C]107[/C][C]97.2132023855048[/C][C]9.78679761449518[/C][/ROW]
[ROW][C]90[/C][C]90[/C][C]102.395714337644[/C][C]-12.3957143376442[/C][/ROW]
[ROW][C]91[/C][C]96[/C][C]96.5585089129053[/C][C]-0.558508912905288[/C][/ROW]
[ROW][C]92[/C][C]115[/C][C]92.6129366652803[/C][C]22.3870633347197[/C][/ROW]
[ROW][C]93[/C][C]91[/C][C]91.5988756808195[/C][C]-0.598875680819518[/C][/ROW]
[ROW][C]94[/C][C]77[/C][C]101.548077289764[/C][C]-24.5480772897641[/C][/ROW]
[ROW][C]95[/C][C]108[/C][C]107.638848434925[/C][C]0.361151565075356[/C][/ROW]
[ROW][C]96[/C][C]83[/C][C]94.385492290215[/C][C]-11.385492290215[/C][/ROW]
[ROW][C]97[/C][C]77[/C][C]94.7353936807112[/C][C]-17.7353936807112[/C][/ROW]
[ROW][C]98[/C][C]99[/C][C]99.0646897841304[/C][C]-0.0646897841303653[/C][/ROW]
[ROW][C]99[/C][C]115[/C][C]93.7050065562536[/C][C]21.2949934437464[/C][/ROW]
[ROW][C]100[/C][C]99[/C][C]94.7451372592606[/C][C]4.25486274073936[/C][/ROW]
[ROW][C]101[/C][C]106[/C][C]91.9234203686253[/C][C]14.0765796313747[/C][/ROW]
[ROW][C]102[/C][C]77[/C][C]92.6145259249104[/C][C]-15.6145259249104[/C][/ROW]
[ROW][C]103[/C][C]115[/C][C]90.4116021160034[/C][C]24.5883978839966[/C][/ROW]
[ROW][C]104[/C][C]67[/C][C]87.6156785606451[/C][C]-20.6156785606451[/C][/ROW]
[ROW][C]105[/C][C]8[/C][C]84.7293446676559[/C][C]-76.7293446676559[/C][/ROW]
[ROW][C]106[/C][C]69[/C][C]90.5147148247286[/C][C]-21.5147148247286[/C][/ROW]
[ROW][C]107[/C][C]88[/C][C]89.5449361543882[/C][C]-1.54493615438825[/C][/ROW]
[ROW][C]108[/C][C]107[/C][C]85.5300755353503[/C][C]21.4699244646497[/C][/ROW]
[ROW][C]109[/C][C]120[/C][C]88.1276531974018[/C][C]31.8723468025982[/C][/ROW]
[ROW][C]110[/C][C]3[/C][C]76.3577654091408[/C][C]-73.3577654091408[/C][/ROW]
[ROW][C]111[/C][C]1[/C][C]74.1753484238999[/C][C]-73.1753484238999[/C][/ROW]
[ROW][C]112[/C][C]0[/C][C]73.1824179089713[/C][C]-73.1824179089713[/C][/ROW]
[ROW][C]113[/C][C]111[/C][C]153.095926154176[/C][C]-42.0959261541763[/C][/ROW]
[ROW][C]114[/C][C]69[/C][C]135.781443553205[/C][C]-66.7814435532045[/C][/ROW]
[ROW][C]115[/C][C]116[/C][C]133.229841195408[/C][C]-17.2298411954078[/C][/ROW]
[ROW][C]116[/C][C]103[/C][C]108.711236803794[/C][C]-5.71123680379413[/C][/ROW]
[ROW][C]117[/C][C]139[/C][C]114.920386944386[/C][C]24.0796130556144[/C][/ROW]
[ROW][C]118[/C][C]135[/C][C]122.947288495405[/C][C]12.0527115045951[/C][/ROW]
[ROW][C]119[/C][C]113[/C][C]110.605600656331[/C][C]2.39439934366945[/C][/ROW]
[ROW][C]120[/C][C]99[/C][C]90.4401603115827[/C][C]8.55983968841729[/C][/ROW]
[ROW][C]121[/C][C]76[/C][C]106.048183107221[/C][C]-30.048183107221[/C][/ROW]
[ROW][C]122[/C][C]110[/C][C]91.6187504672437[/C][C]18.3812495327563[/C][/ROW]
[ROW][C]123[/C][C]121[/C][C]102.749424100256[/C][C]18.250575899744[/C][/ROW]
[ROW][C]124[/C][C]95[/C][C]109.034140721145[/C][C]-14.034140721145[/C][/ROW]
[ROW][C]125[/C][C]66[/C][C]89.4220658125777[/C][C]-23.4220658125777[/C][/ROW]
[ROW][C]126[/C][C]111[/C][C]105.900764246933[/C][C]5.09923575306709[/C][/ROW]
[ROW][C]127[/C][C]77[/C][C]81.9655491490958[/C][C]-4.96554914909577[/C][/ROW]
[ROW][C]128[/C][C]101[/C][C]113.539509670639[/C][C]-12.5395096706387[/C][/ROW]
[ROW][C]129[/C][C]108[/C][C]98.7275657430373[/C][C]9.27243425696274[/C][/ROW]
[ROW][C]130[/C][C]135[/C][C]92.5208543967733[/C][C]42.4791456032267[/C][/ROW]
[ROW][C]131[/C][C]70[/C][C]96.0894177474512[/C][C]-26.0894177474512[/C][/ROW]
[ROW][C]132[/C][C]124[/C][C]83.5610313623861[/C][C]40.4389686376139[/C][/ROW]
[ROW][C]133[/C][C]92[/C][C]91.0957688287146[/C][C]0.904231171285425[/C][/ROW]
[ROW][C]134[/C][C]104[/C][C]94.7171233863844[/C][C]9.28287661361565[/C][/ROW]
[ROW][C]135[/C][C]113[/C][C]89.6977207085992[/C][C]23.3022792914008[/C][/ROW]
[ROW][C]136[/C][C]95[/C][C]96.9133923759954[/C][C]-1.91339237599539[/C][/ROW]
[ROW][C]137[/C][C]89[/C][C]84.678318030814[/C][C]4.32168196918599[/C][/ROW]
[ROW][C]138[/C][C]83[/C][C]83.9191418213551[/C][C]-0.91914182135505[/C][/ROW]
[ROW][C]139[/C][C]96[/C][C]78.6032577588717[/C][C]17.3967422411283[/C][/ROW]
[ROW][C]140[/C][C]95[/C][C]111.344735710788[/C][C]-16.3447357107878[/C][/ROW]
[ROW][C]141[/C][C]110[/C][C]92.7352908081937[/C][C]17.2647091918063[/C][/ROW]
[ROW][C]142[/C][C]106[/C][C]96.0327651863689[/C][C]9.96723481363113[/C][/ROW]
[ROW][C]143[/C][C]78[/C][C]67.8076508918057[/C][C]10.1923491081943[/C][/ROW]
[ROW][C]144[/C][C]115[/C][C]85.6856718380949[/C][C]29.3143281619051[/C][/ROW]
[ROW][C]145[/C][C]74[/C][C]78.8066144266548[/C][C]-4.80661442665482[/C][/ROW]
[ROW][C]146[/C][C]93[/C][C]89.3005098129706[/C][C]3.6994901870294[/C][/ROW]
[ROW][C]147[/C][C]88[/C][C]77.3455764292373[/C][C]10.6544235707627[/C][/ROW]
[ROW][C]148[/C][C]104[/C][C]95.5572777804255[/C][C]8.44272221957449[/C][/ROW]
[ROW][C]149[/C][C]86[/C][C]82.7793051078108[/C][C]3.22069489218919[/C][/ROW]
[ROW][C]150[/C][C]104[/C][C]71.4429805043903[/C][C]32.5570194956097[/C][/ROW]
[ROW][C]151[/C][C]99[/C][C]80.1301851492713[/C][C]18.8698148507287[/C][/ROW]
[ROW][C]152[/C][C]101[/C][C]82.4292020748768[/C][C]18.5707979251232[/C][/ROW]
[ROW][C]153[/C][C]53[/C][C]79.1891405865465[/C][C]-26.1891405865465[/C][/ROW]
[ROW][C]154[/C][C]96[/C][C]81.2283196440768[/C][C]14.7716803559232[/C][/ROW]
[ROW][C]155[/C][C]58[/C][C]71.316878564089[/C][C]-13.316878564089[/C][/ROW]
[ROW][C]156[/C][C]117[/C][C]83.4875185997138[/C][C]33.5124814002862[/C][/ROW]
[ROW][C]157[/C][C]82[/C][C]83.7772934659896[/C][C]-1.77729346598956[/C][/ROW]
[ROW][C]158[/C][C]57[/C][C]86.9322019382016[/C][C]-29.9322019382016[/C][/ROW]
[ROW][C]159[/C][C]71[/C][C]77.2271470654344[/C][C]-6.22714706543435[/C][/ROW]
[ROW][C]160[/C][C]105[/C][C]82.3264541388823[/C][C]22.6735458611177[/C][/ROW]
[ROW][C]161[/C][C]60[/C][C]83.2389253541255[/C][C]-23.2389253541255[/C][/ROW]
[ROW][C]162[/C][C]77[/C][C]77.6815701949539[/C][C]-0.681570194953913[/C][/ROW]
[ROW][C]163[/C][C]73[/C][C]57.6225362056105[/C][C]15.3774637943895[/C][/ROW]
[ROW][C]164[/C][C]78[/C][C]64.9979195872797[/C][C]13.0020804127203[/C][/ROW]
[ROW][C]165[/C][C]81[/C][C]88.5386203719187[/C][C]-7.53862037191868[/C][/ROW]
[ROW][C]166[/C][C]101[/C][C]68.4105118338048[/C][C]32.5894881661952[/C][/ROW]
[ROW][C]167[/C][C]118[/C][C]77.816694829631[/C][C]40.183305170369[/C][/ROW]
[ROW][C]168[/C][C]59[/C][C]73.8170330764596[/C][C]-14.8170330764596[/C][/ROW]
[ROW][C]169[/C][C]101[/C][C]68.0291393888908[/C][C]32.9708606111092[/C][/ROW]
[ROW][C]170[/C][C]22[/C][C]83.7561014439405[/C][C]-61.7561014439405[/C][/ROW]
[ROW][C]171[/C][C]77[/C][C]62.5897709472017[/C][C]14.4102290527983[/C][/ROW]
[ROW][C]172[/C][C]100[/C][C]71.6749890230579[/C][C]28.3250109769421[/C][/ROW]
[ROW][C]173[/C][C]39[/C][C]75.3790968599872[/C][C]-36.3790968599872[/C][/ROW]
[ROW][C]174[/C][C]42[/C][C]57.6010335001546[/C][C]-15.6010335001546[/C][/ROW]
[ROW][C]175[/C][C]80[/C][C]77.5426863592183[/C][C]2.45731364078167[/C][/ROW]
[ROW][C]176[/C][C]48[/C][C]61.325058918068[/C][C]-13.325058918068[/C][/ROW]
[ROW][C]177[/C][C]131[/C][C]85.5226314606803[/C][C]45.4773685393197[/C][/ROW]
[ROW][C]178[/C][C]46[/C][C]76.5269409995663[/C][C]-30.5269409995664[/C][/ROW]
[ROW][C]179[/C][C]89[/C][C]67.0916198907761[/C][C]21.9083801092239[/C][/ROW]
[ROW][C]180[/C][C]51[/C][C]53.9882497306611[/C][C]-2.98824973066115[/C][/ROW]
[ROW][C]181[/C][C]108[/C][C]81.3788929760748[/C][C]26.6211070239252[/C][/ROW]
[ROW][C]182[/C][C]86[/C][C]72.5232836814332[/C][C]13.4767163185668[/C][/ROW]
[ROW][C]183[/C][C]105[/C][C]74.9696865557933[/C][C]30.0303134442067[/C][/ROW]
[ROW][C]184[/C][C]85[/C][C]79.1506156184064[/C][C]5.8493843815936[/C][/ROW]
[ROW][C]185[/C][C]103[/C][C]69.7496125710924[/C][C]33.2503874289076[/C][/ROW]
[ROW][C]186[/C][C]83[/C][C]72.3050579540793[/C][C]10.6949420459207[/C][/ROW]
[ROW][C]187[/C][C]77[/C][C]61.0133963844314[/C][C]15.9866036155686[/C][/ROW]
[ROW][C]188[/C][C]26[/C][C]60.0741217847302[/C][C]-34.0741217847302[/C][/ROW]
[ROW][C]189[/C][C]73[/C][C]67.562099243381[/C][C]5.43790075661896[/C][/ROW]
[ROW][C]190[/C][C]42[/C][C]56.3669411532721[/C][C]-14.3669411532721[/C][/ROW]
[ROW][C]191[/C][C]71[/C][C]65.6832003330052[/C][C]5.31679966699481[/C][/ROW]
[ROW][C]192[/C][C]105[/C][C]79.504320884243[/C][C]25.495679115757[/C][/ROW]
[ROW][C]193[/C][C]73[/C][C]54.1909366826769[/C][C]18.8090633173231[/C][/ROW]
[ROW][C]194[/C][C]98[/C][C]70.6203821034117[/C][C]27.3796178965883[/C][/ROW]
[ROW][C]195[/C][C]108[/C][C]75.8962321318901[/C][C]32.1037678681099[/C][/ROW]
[ROW][C]196[/C][C]57[/C][C]77.7991997846544[/C][C]-20.7991997846544[/C][/ROW]
[ROW][C]197[/C][C]37[/C][C]70.9331620558014[/C][C]-33.9331620558014[/C][/ROW]
[ROW][C]198[/C][C]70[/C][C]69.3474451609573[/C][C]0.652554839042726[/C][/ROW]
[ROW][C]199[/C][C]73[/C][C]58.837266966058[/C][C]14.162733033942[/C][/ROW]
[ROW][C]200[/C][C]47[/C][C]61.6825303125537[/C][C]-14.6825303125537[/C][/ROW]
[ROW][C]201[/C][C]73[/C][C]70.7142075389981[/C][C]2.28579246100188[/C][/ROW]
[ROW][C]202[/C][C]91[/C][C]72.830840588672[/C][C]18.169159411328[/C][/ROW]
[ROW][C]203[/C][C]110[/C][C]73.5958663466089[/C][C]36.4041336533911[/C][/ROW]
[ROW][C]204[/C][C]78[/C][C]74.0141430064407[/C][C]3.98585699355931[/C][/ROW]
[ROW][C]205[/C][C]92[/C][C]82.4480984041975[/C][C]9.55190159580254[/C][/ROW]
[ROW][C]206[/C][C]52[/C][C]85.091008239039[/C][C]-33.091008239039[/C][/ROW]
[ROW][C]207[/C][C]88[/C][C]67.9751507998904[/C][C]20.0248492001096[/C][/ROW]
[ROW][C]208[/C][C]100[/C][C]53.9156450067238[/C][C]46.0843549932762[/C][/ROW]
[ROW][C]209[/C][C]33[/C][C]56.0768314207654[/C][C]-23.0768314207654[/C][/ROW]
[ROW][C]210[/C][C]42[/C][C]73.073098443716[/C][C]-31.073098443716[/C][/ROW]
[ROW][C]211[/C][C]81[/C][C]75.7006172316692[/C][C]5.29938276833083[/C][/ROW]
[ROW][C]212[/C][C]67[/C][C]72.9819431538274[/C][C]-5.98194315382742[/C][/ROW]
[ROW][C]213[/C][C]8[/C][C]54.4172145214288[/C][C]-46.4172145214288[/C][/ROW]
[ROW][C]214[/C][C]46[/C][C]54.139253600576[/C][C]-8.13925360057603[/C][/ROW]
[ROW][C]215[/C][C]83[/C][C]73.7231299742275[/C][C]9.27687002577254[/C][/ROW]
[ROW][C]216[/C][C]87[/C][C]61.0183110120161[/C][C]25.9816889879839[/C][/ROW]
[ROW][C]217[/C][C]82[/C][C]79.3477255483875[/C][C]2.65227445161253[/C][/ROW]
[ROW][C]218[/C][C]63[/C][C]60.2080218661801[/C][C]2.7919781338199[/C][/ROW]
[ROW][C]219[/C][C]27[/C][C]66.093061674441[/C][C]-39.093061674441[/C][/ROW]
[ROW][C]220[/C][C]14[/C][C]54.4122599141207[/C][C]-40.4122599141207[/C][/ROW]
[ROW][C]221[/C][C]83[/C][C]58.775236615051[/C][C]24.224763384949[/C][/ROW]
[ROW][C]222[/C][C]168[/C][C]59.520363839503[/C][C]108.479636160497[/C][/ROW]
[ROW][C]223[/C][C]67[/C][C]60.5045997040067[/C][C]6.49540029599333[/C][/ROW]
[ROW][C]224[/C][C]21[/C][C]59.5442747035081[/C][C]-38.5442747035081[/C][/ROW]
[ROW][C]225[/C][C]55[/C][C]77.5117447617309[/C][C]-22.5117447617309[/C][/ROW]
[ROW][C]226[/C][C]54[/C][C]76.3675019281325[/C][C]-22.3675019281325[/C][/ROW]
[ROW][C]227[/C][C]118[/C][C]67.2697411352869[/C][C]50.7302588647131[/C][/ROW]
[ROW][C]228[/C][C]69[/C][C]52.9792180143675[/C][C]16.0207819856325[/C][/ROW]
[ROW][C]229[/C][C]77[/C][C]48.0056654252575[/C][C]28.9943345747425[/C][/ROW]
[ROW][C]230[/C][C]72[/C][C]73.4575338918676[/C][C]-1.45753389186764[/C][/ROW]
[ROW][C]231[/C][C]53[/C][C]52.2912033951289[/C][C]0.70879660487115[/C][/ROW]
[ROW][C]232[/C][C]40[/C][C]56.6425960492936[/C][C]-16.6425960492936[/C][/ROW]
[ROW][C]233[/C][C]102[/C][C]57.406496595875[/C][C]44.593503404125[/C][/ROW]
[ROW][C]234[/C][C]25[/C][C]62.7592590133136[/C][C]-37.7592590133136[/C][/ROW]
[ROW][C]235[/C][C]31[/C][C]56.0848388468004[/C][C]-25.0848388468004[/C][/ROW]
[ROW][C]236[/C][C]77[/C][C]53.4470398633504[/C][C]23.5529601366496[/C][/ROW]
[ROW][C]237[/C][C]38[/C][C]65.1656164493421[/C][C]-27.1656164493421[/C][/ROW]
[ROW][C]238[/C][C]23[/C][C]66.214041299374[/C][C]-43.214041299374[/C][/ROW]
[ROW][C]239[/C][C]91[/C][C]55.7341587667214[/C][C]35.2658412332786[/C][/ROW]
[ROW][C]240[/C][C]58[/C][C]58.1638810781885[/C][C]-0.163881078188538[/C][/ROW]
[ROW][C]241[/C][C]42[/C][C]55.982547023433[/C][C]-13.982547023433[/C][/ROW]
[ROW][C]242[/C][C]44[/C][C]60.4467942980927[/C][C]-16.4467942980927[/C][/ROW]
[ROW][C]243[/C][C]58[/C][C]53.088944501774[/C][C]4.91105549822597[/C][/ROW]
[ROW][C]244[/C][C]35[/C][C]54.5112532243931[/C][C]-19.5112532243931[/C][/ROW]
[ROW][C]245[/C][C]88[/C][C]48.2117199529113[/C][C]39.7882800470887[/C][/ROW]
[ROW][C]246[/C][C]25[/C][C]66.3491659340511[/C][C]-41.3491659340511[/C][/ROW]
[ROW][C]247[/C][C]39[/C][C]54.2530414641765[/C][C]-15.2530414641765[/C][/ROW]
[ROW][C]248[/C][C]48[/C][C]49.3786314277673[/C][C]-1.37863142776728[/C][/ROW]
[ROW][C]249[/C][C]64[/C][C]50.4079889425224[/C][C]13.5920110574776[/C][/ROW]
[ROW][C]250[/C][C]65[/C][C]54.0712009649421[/C][C]10.928799035058[/C][/ROW]
[ROW][C]251[/C][C]95[/C][C]52.9181830051456[/C][C]42.0818169948544[/C][/ROW]
[ROW][C]252[/C][C]29[/C][C]50.3422018501645[/C][C]-21.3422018501645[/C][/ROW]
[ROW][C]253[/C][C]2[/C][C]49.9414282229121[/C][C]-47.9414282229121[/C][/ROW]
[ROW][C]254[/C][C]83[/C][C]52.5672491940166[/C][C]30.4327508059834[/C][/ROW]
[ROW][C]255[/C][C]11[/C][C]56.8604187397108[/C][C]-45.8604187397108[/C][/ROW]
[ROW][C]256[/C][C]16[/C][C]48.774158213719[/C][C]-32.774158213719[/C][/ROW]
[ROW][C]257[/C][C]9[/C][C]44.0948368697107[/C][C]-35.0948368697107[/C][/ROW]
[ROW][C]258[/C][C]46[/C][C]50.9722779113615[/C][C]-4.97227791136148[/C][/ROW]
[ROW][C]259[/C][C]41[/C][C]54.2447960673881[/C][C]-13.2447960673881[/C][/ROW]
[ROW][C]260[/C][C]14[/C][C]43.8649277225233[/C][C]-29.8649277225234[/C][/ROW]
[ROW][C]261[/C][C]63[/C][C]44.8508233653336[/C][C]18.1491766346664[/C][/ROW]
[ROW][C]262[/C][C]9[/C][C]44.7617215661741[/C][C]-35.7617215661741[/C][/ROW]
[ROW][C]263[/C][C]0[/C][C]36.8721010223209[/C][C]-36.8721010223209[/C][/ROW]
[ROW][C]264[/C][C]58[/C][C]62.1702226015067[/C][C]-4.17022260150673[/C][/ROW]
[ROW][C]265[/C][C]18[/C][C]57.5189751970175[/C][C]-39.5189751970175[/C][/ROW]
[ROW][C]266[/C][C]42[/C][C]51.6455924456693[/C][C]-9.64559244566932[/C][/ROW]
[ROW][C]267[/C][C]26[/C][C]39.1154589115656[/C][C]-13.1154589115656[/C][/ROW]
[ROW][C]268[/C][C]38[/C][C]55.694633291829[/C][C]-17.694633291829[/C][/ROW]
[ROW][C]269[/C][C]1[/C][C]37.3111688123072[/C][C]-36.3111688123072[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205518&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205518&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
1122158.844758304088-36.8447583040881
2114170.190582125207-56.1905821252067
3140157.916425508111-17.9164255081112
4143133.8615040388429.13849596115795
5122136.126129950055-14.1261299500546
6127129.206677334634-2.20667733463417
7113127.52882978373-14.5288297837297
8118133.284996193212-15.284996193212
9161130.20516381057330.7948361894266
10134131.2613280617792.73867193822147
1196136.886041428859-40.8860414288591
12104120.719461935432-16.7194619354317
13135124.61279994697310.3872000530265
14110119.625883562729-9.62588356272934
15128118.3409777211959.65902227880534
16142124.279405051717.7205949482999
17117118.323566309167-1.32356630916692
1894117.095860681959-23.0958606819593
19135115.01527612211419.9847238778862
20121121.672266469293-0.67226646929283
21103116.423046332545-13.4230463325447
22118129.6246004618-11.6246004618002
23127116.63459839158510.3654016084151
24116125.936274246221-9.93627424622133
25129119.0123260599249.98767394007618
26115118.989810021347-3.98981002134678
27135118.49691896912316.5030810308767
28133111.68957452303321.3104254769671
29113115.29038862233-2.29038862233031
30111117.998064826337-6.99806482633679
3192116.909710891801-24.9097108918014
32118116.2376060071741.76239399282587
33134118.20168642497315.7983135750273
34106116.36843727751-10.3684372775103
35137114.58346091364822.4165390863524
36100113.070173683576-13.0701736835758
37102108.019114775624-6.01911477562446
38134115.43852447215618.5614755278443
39130111.21229908317318.7877009168268
40144110.60306584196733.3969341580329
41120109.53908538637710.460914613623
4291104.887749595131-13.887749595131
43100106.898294473706-6.89829447370645
44134116.93068310470917.0693168952905
45161113.88490001856747.1150999814332
46128107.96688053954120.0331194604588
47124114.4190596398339.58094036016684
48115112.075498450892.92450154910992
49123112.63543629778610.3645637022138
50117112.9341260438614.06587395613901
51111111.845179003236-0.845179003235797
52146107.29477565491438.705224345086
53101112.85967017201-11.85967017201
54131113.31332980960917.6866701903907
55122109.54374241892112.4562575810792
5678112.831385889748-34.8313858897484
57120106.95260309742513.0473969025753
58115111.8596786161913.14032138380865
59142108.73208867478733.2679113252127
6094113.770802566608-19.7708025666083
61114105.5883963253048.41160367469584
62108103.9516626438054.04833735619468
63119101.81318475668617.186815243314
64117104.69339328264312.3066067173565
6586107.217427755868-21.2174277558677
66138107.53506533107530.464934668925
67119108.17234739164710.8276526083532
68117101.52412512945415.4758748705458
69117102.60745287455114.3925471254492
7076103.244734935123-27.2447349351226
71119108.24741255228810.7525874477121
72119101.93534798992317.0646520100765
73124103.55467025939520.4453297406054
7411697.33508226969918.664917730301
75118100.85657413020317.1434258697971
76102103.730195791347-1.7301957913474
77116101.24583169326814.7541683067315
78103108.658011442927-5.6580114429273
7911799.900035462880917.0999645371191
80108103.6561254743084.34387452569171
8112297.627606181943324.3723938180567
8290101.865702341813-11.8657023418125
83133105.13216353208527.8678364679152
8411695.473612768170820.5263872318292
8511098.967258380451311.0327416195487
869095.2714595212851-5.27145952128506
877496.5933317369608-22.5933317369608
887592.7598360564087-17.7598360564087
8910797.21320238550489.78679761449518
9090102.395714337644-12.3957143376442
919696.5585089129053-0.558508912905288
9211592.612936665280322.3870633347197
939191.5988756808195-0.598875680819518
9477101.548077289764-24.5480772897641
95108107.6388484349250.361151565075356
968394.385492290215-11.385492290215
977794.7353936807112-17.7353936807112
989999.0646897841304-0.0646897841303653
9911593.705006556253621.2949934437464
1009994.74513725926064.25486274073936
10110691.923420368625314.0765796313747
1027792.6145259249104-15.6145259249104
10311590.411602116003424.5883978839966
1046787.6156785606451-20.6156785606451
105884.7293446676559-76.7293446676559
1066990.5147148247286-21.5147148247286
1078889.5449361543882-1.54493615438825
10810785.530075535350321.4699244646497
10912088.127653197401831.8723468025982
110376.3577654091408-73.3577654091408
111174.1753484238999-73.1753484238999
112073.1824179089713-73.1824179089713
113111153.095926154176-42.0959261541763
11469135.781443553205-66.7814435532045
115116133.229841195408-17.2298411954078
116103108.711236803794-5.71123680379413
117139114.92038694438624.0796130556144
118135122.94728849540512.0527115045951
119113110.6056006563312.39439934366945
1209990.44016031158278.55983968841729
12176106.048183107221-30.048183107221
12211091.618750467243718.3812495327563
123121102.74942410025618.250575899744
12495109.034140721145-14.034140721145
1256689.4220658125777-23.4220658125777
126111105.9007642469335.09923575306709
1277781.9655491490958-4.96554914909577
128101113.539509670639-12.5395096706387
12910898.72756574303739.27243425696274
13013592.520854396773342.4791456032267
1317096.0894177474512-26.0894177474512
13212483.561031362386140.4389686376139
1339291.09576882871460.904231171285425
13410494.71712338638449.28287661361565
13511389.697720708599223.3022792914008
1369596.9133923759954-1.91339237599539
1378984.6783180308144.32168196918599
1388383.9191418213551-0.91914182135505
1399678.603257758871717.3967422411283
14095111.344735710788-16.3447357107878
14111092.735290808193717.2647091918063
14210696.03276518636899.96723481363113
1437867.807650891805710.1923491081943
14411585.685671838094929.3143281619051
1457478.8066144266548-4.80661442665482
1469389.30050981297063.6994901870294
1478877.345576429237310.6544235707627
14810495.55727778042558.44272221957449
1498682.77930510781083.22069489218919
15010471.442980504390332.5570194956097
1519980.130185149271318.8698148507287
15210182.429202074876818.5707979251232
1535379.1891405865465-26.1891405865465
1549681.228319644076814.7716803559232
1555871.316878564089-13.316878564089
15611783.487518599713833.5124814002862
1578283.7772934659896-1.77729346598956
1585786.9322019382016-29.9322019382016
1597177.2271470654344-6.22714706543435
16010582.326454138882322.6735458611177
1616083.2389253541255-23.2389253541255
1627777.6815701949539-0.681570194953913
1637357.622536205610515.3774637943895
1647864.997919587279713.0020804127203
1658188.5386203719187-7.53862037191868
16610168.410511833804832.5894881661952
16711877.81669482963140.183305170369
1685973.8170330764596-14.8170330764596
16910168.029139388890832.9708606111092
1702283.7561014439405-61.7561014439405
1717762.589770947201714.4102290527983
17210071.674989023057928.3250109769421
1733975.3790968599872-36.3790968599872
1744257.6010335001546-15.6010335001546
1758077.54268635921832.45731364078167
1764861.325058918068-13.325058918068
17713185.522631460680345.4773685393197
1784676.5269409995663-30.5269409995664
1798967.091619890776121.9083801092239
1805153.9882497306611-2.98824973066115
18110881.378892976074826.6211070239252
1828672.523283681433213.4767163185668
18310574.969686555793330.0303134442067
1848579.15061561840645.8493843815936
18510369.749612571092433.2503874289076
1868372.305057954079310.6949420459207
1877761.013396384431415.9866036155686
1882660.0741217847302-34.0741217847302
1897367.5620992433815.43790075661896
1904256.3669411532721-14.3669411532721
1917165.68320033300525.31679966699481
19210579.50432088424325.495679115757
1937354.190936682676918.8090633173231
1949870.620382103411727.3796178965883
19510875.896232131890132.1037678681099
1965777.7991997846544-20.7991997846544
1973770.9331620558014-33.9331620558014
1987069.34744516095730.652554839042726
1997358.83726696605814.162733033942
2004761.6825303125537-14.6825303125537
2017370.71420753899812.28579246100188
2029172.83084058867218.169159411328
20311073.595866346608936.4041336533911
2047874.01414300644073.98585699355931
2059282.44809840419759.55190159580254
2065285.091008239039-33.091008239039
2078867.975150799890420.0248492001096
20810053.915645006723846.0843549932762
2093356.0768314207654-23.0768314207654
2104273.073098443716-31.073098443716
2118175.70061723166925.29938276833083
2126772.9819431538274-5.98194315382742
213854.4172145214288-46.4172145214288
2144654.139253600576-8.13925360057603
2158373.72312997422759.27687002577254
2168761.018311012016125.9816889879839
2178279.34772554838752.65227445161253
2186360.20802186618012.7919781338199
2192766.093061674441-39.093061674441
2201454.4122599141207-40.4122599141207
2218358.77523661505124.224763384949
22216859.520363839503108.479636160497
2236760.50459970400676.49540029599333
2242159.5442747035081-38.5442747035081
2255577.5117447617309-22.5117447617309
2265476.3675019281325-22.3675019281325
22711867.269741135286950.7302588647131
2286952.979218014367516.0207819856325
2297748.005665425257528.9943345747425
2307273.4575338918676-1.45753389186764
2315352.29120339512890.70879660487115
2324056.6425960492936-16.6425960492936
23310257.40649659587544.593503404125
2342562.7592590133136-37.7592590133136
2353156.0848388468004-25.0848388468004
2367753.447039863350423.5529601366496
2373865.1656164493421-27.1656164493421
2382366.214041299374-43.214041299374
2399155.734158766721435.2658412332786
2405858.1638810781885-0.163881078188538
2414255.982547023433-13.982547023433
2424460.4467942980927-16.4467942980927
2435853.0889445017744.91105549822597
2443554.5112532243931-19.5112532243931
2458848.211719952911339.7882800470887
2462566.3491659340511-41.3491659340511
2473954.2530414641765-15.2530414641765
2484849.3786314277673-1.37863142776728
2496450.407988942522413.5920110574776
2506554.071200964942110.928799035058
2519552.918183005145642.0818169948544
2522950.3422018501645-21.3422018501645
253249.9414282229121-47.9414282229121
2548352.567249194016630.4327508059834
2551156.8604187397108-45.8604187397108
2561648.774158213719-32.774158213719
257944.0948368697107-35.0948368697107
2584650.9722779113615-4.97227791136148
2594154.2447960673881-13.2447960673881
2601443.8649277225233-29.8649277225234
2616344.850823365333618.1491766346664
262944.7617215661741-35.7617215661741
263036.8721010223209-36.8721010223209
2645862.1702226015067-4.17022260150673
2651857.5189751970175-39.5189751970175
2664251.6455924456693-9.64559244566932
2672639.1154589115656-13.1154589115656
2683855.694633291829-17.694633291829
269137.3111688123072-36.3111688123072






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
130.6891228088156330.6217543823687350.310877191184367
140.5935689816208880.8128620367582240.406431018379112
150.4575505676029480.9151011352058960.542449432397052
160.3659428468769310.7318856937538620.634057153123069
170.2630797388889740.5261594777779470.736920261111026
180.1989516546724960.3979033093449920.801048345327504
190.1434824217995190.2869648435990380.856517578200481
200.09888001535710380.1977600307142080.901119984642896
210.0897917719865240.1795835439730480.910208228013476
220.1321921252203210.2643842504406410.867807874779679
230.08960552483542610.1792110496708520.910394475164574
240.06011072246874370.1202214449374870.939889277531256
250.03928804552205150.0785760910441030.960711954477949
260.02542803566723370.05085607133446740.974571964332766
270.01899206002277230.03798412004554460.981007939977228
280.01162387851954780.02324775703909560.988376121480452
290.008638320621151670.01727664124230330.991361679378848
300.006281875001783260.01256375000356650.993718124998217
310.01141275722073830.02282551444147660.988587242779262
320.007101729053604370.01420345810720870.992898270946396
330.005891859879264470.01178371975852890.994108140120736
340.004355364701387450.008710729402774890.995644635298613
350.003575025523212060.007150051046424120.996424974476788
360.003798633530797130.007597267061594260.996201366469203
370.00424632616093560.00849265232187120.995753673839064
380.003608660805466690.007217321610933370.996391339194533
390.003259480945621040.006518961891242080.996740519054379
400.003533258415760110.007066516831520210.99646674158424
410.002214092402467810.004428184804935620.997785907597532
420.005042818230910150.01008563646182030.99495718176909
430.00437043884975140.00874087769950280.995629561150249
440.003422535317400420.006845070634800840.9965774646826
450.009603670052270510.0192073401045410.99039632994773
460.00685815539479390.01371631078958780.993141844605206
470.004646499085709730.009292998171419460.99535350091429
480.003235400504068080.006470801008136160.996764599495932
490.002135028923947550.00427005784789510.997864971076052
500.001424277037306220.002848554074612440.998575722962694
510.001053148601341460.002106297202682920.998946851398659
520.001236512760019880.002473025520039760.99876348723998
530.001312659333552820.002625318667105630.998687340666447
540.0009130519493820150.001826103898764030.999086948050618
550.000591529369695690.001183058739391380.999408470630304
560.002557058139094310.005114116278188630.997442941860906
570.001740794354394170.003481588708788330.998259205645606
580.001229071728172540.002458143456345090.998770928271827
590.001225527687700990.002451055375401980.998774472312299
600.001030996967628780.002061993935257560.998969003032371
610.0007169204232030690.001433840846406140.999283079576797
620.0005525988539080890.001105197707816180.999447401146092
630.0003600837894567910.0007201675789135820.999639916210543
640.0002338304468468610.0004676608936937210.999766169553153
650.0004634538113448390.0009269076226896770.999536546188655
660.0004145552459982260.0008291104919964510.999585444754002
670.0002718028837052180.0005436057674104360.999728197116295
680.0001783044846867740.0003566089693735490.999821695515313
690.0001151291279861010.0002302582559722030.999884870872014
700.0004397640582698450.0008795281165396890.99956023594173
710.0003048282497656970.0006096564995313950.999695171750234
720.0002010594409099160.0004021188818198320.99979894055909
730.0001355454191049990.0002710908382099970.999864454580895
748.76976904089275e-050.0001753953808178550.999912302309591
755.60634733000085e-050.0001121269466000170.9999439365267
764.46651532474092e-058.93303064948185e-050.999955334846753
772.82076604480028e-055.64153208960057e-050.999971792339552
782.20275924650387e-054.40551849300773e-050.999977972407535
791.37996346250594e-052.75992692501189e-050.999986200365375
809.22036509628373e-061.84407301925675e-050.999990779634904
815.87487638568151e-061.1749752771363e-050.999994125123614
827.48636025740398e-061.4972720514808e-050.999992513639743
836.39563198907036e-061.27912639781407e-050.999993604368011
844.38479639864426e-068.76959279728852e-060.999995615203601
852.72736147934433e-065.45472295868866e-060.999997272638521
863.03643004486138e-066.07286008972277e-060.999996963569955
879.76529730444472e-061.95305946088894e-050.999990234702696
882.12314081250611e-054.24628162501222e-050.999978768591875
891.37705408967208e-052.75410817934416e-050.999986229459103
901.3455792824153e-052.69115856483059e-050.999986544207176
911.02212279172219e-052.04424558344438e-050.999989778772083
926.89210066786191e-061.37842013357238e-050.999993107899332
935.98440608992747e-061.19688121798549e-050.99999401559391
949.86761513729799e-061.9735230274596e-050.999990132384863
957.83915158049603e-061.56783031609921e-050.999992160848419
968.14894500297218e-061.62978900059444e-050.999991851054997
971.16147504964514e-052.32295009929029e-050.999988385249504
981.10439760975859e-052.20879521951718e-050.999988956023902
997.92968885578966e-061.58593777115793e-050.999992070311144
1005.26665014979676e-061.05333002995935e-050.99999473334985
1013.51614259632775e-067.0322851926555e-060.999996483857404
1025.65705647946256e-061.13141129589251e-050.999994342943521
1034.18716658965138e-068.37433317930276e-060.99999581283341
1047.56786563384315e-061.51357312676863e-050.999992432134366
1050.001281566363643560.002563132727287130.998718433636356
1060.001495546167519170.002991092335038340.998504453832481
1070.001192443023182830.002384886046365660.998807556976817
1080.0009599776516878880.001919955303375780.999040022348312
1090.0008905118061218920.001781023612243780.999109488193878
1100.008761655198550310.01752331039710060.99123834480145
1110.03545090308427890.07090180616855770.964549096915721
1120.0863769901369060.1727539802738120.913623009863094
1130.09100793311650620.1820158662330120.908992066883494
1140.163950789275480.3279015785509610.83604921072452
1150.158447546663650.3168950933272990.84155245333635
1160.1545273368734290.3090546737468580.845472663126571
1170.1406871166744740.2813742333489490.859312883325526
1180.1213845749025190.2427691498050390.878615425097481
1190.1083492676515140.2166985353030290.891650732348486
1200.09436756853862170.1887351370772430.905632431461378
1210.1181147313056260.2362294626112510.881885268694374
1220.1084604951919640.2169209903839270.891539504808036
1230.09338966027287880.1867793205457580.906610339727121
1240.09053493371232170.1810698674246430.909465066287678
1250.1090634639884380.2181269279768760.890936536011562
1260.108453991616470.216907983232940.89154600838353
1270.1060548170333190.2121096340666390.893945182966681
1280.09789477879670070.1957895575934010.902105221203299
1290.08329591230851680.1665918246170340.916704087691483
1300.09466092420064810.1893218484012960.905339075799352
1310.1113804065717710.2227608131435420.888619593428229
1320.1105765300033760.2211530600067520.889423469996624
1330.09742356963839290.1948471392767860.902576430361607
1340.08294583729046150.1658916745809230.917054162709538
1350.07282045955593230.1456409191118650.927179540444068
1360.06295778237812220.1259155647562440.937042217621878
1370.05391572908136740.1078314581627350.946084270918633
1380.04868562479401610.09737124958803220.951314375205984
1390.04127966810975290.08255933621950580.958720331890247
1400.03700453506477240.07400907012954480.962995464935228
1410.03203199307125770.06406398614251550.967968006928742
1420.02663333549399140.05326667098798270.973366664506009
1430.0231729331103850.04634586622077010.976827066889615
1440.02063142881138740.04126285762277480.979368571188613
1450.01927452501007130.03854905002014250.980725474989929
1460.01578324844087410.03156649688174830.984216751559126
1470.01261487748618810.02522975497237630.987385122513812
1480.009988994164027950.01997798832805590.990011005835972
1490.008083468142402850.01616693628480570.991916531857597
1500.007094627649986160.01418925529997230.992905372350014
1510.005624326386275320.01124865277255060.994375673613725
1520.004496383132009810.008992766264019610.99550361686799
1530.006392074804778330.01278414960955670.993607925195222
1540.004989572781696570.009979145563393140.995010427218303
1550.005317080349303010.0106341606986060.994682919650697
1560.005283300529754350.01056660105950870.994716699470246
1570.004275743461804630.008551486923609270.995724256538195
1580.005995361388373340.01199072277674670.994004638611627
1590.005243603284512380.01048720656902480.994756396715488
1600.004359500082803350.00871900016560670.995640499917197
1610.005124197895177820.01024839579035560.994875802104822
1620.004140343103734230.008280686207468460.995859656896266
1630.003156047922933830.006312095845867650.996843952077066
1640.002385676299272440.004771352598544890.997614323700728
1650.001958481166287420.003916962332574840.998041518833713
1660.001741176594903520.003482353189807030.998258823405097
1670.002024003819459060.004048007638918120.997975996180541
1680.002054200143106990.004108400286213970.997945799856893
1690.001859080507260230.003718161014520460.99814091949274
1700.0105840984103870.02116819682077410.989415901589613
1710.008276041965338020.0165520839306760.991723958034662
1720.007250535300164330.01450107060032870.992749464699836
1730.01286610761177030.02573221522354070.98713389238823
1740.0139762039044430.0279524078088860.986023796095557
1750.01118933123992320.02237866247984650.988810668760077
1760.0117484568817090.02349691376341790.988251543118291
1770.01622767311400270.03245534622800540.983772326885997
1780.0230548579262840.04610971585256790.976945142073716
1790.01891547101422040.03783094202844070.98108452898578
1800.0173639428932530.03472788578650610.982636057106747
1810.01569846033302080.03139692066604150.984301539666979
1820.01235962864465340.02471925728930670.987640371355347
1830.01128553330566870.02257106661133730.988714466694331
1840.008763921876608760.01752784375321750.991236078123391
1850.008330100825279850.01666020165055970.99166989917472
1860.006390839361151860.01278167872230370.993609160638848
1870.004971376908258140.009942753816516280.995028623091742
1880.008876817683260170.01775363536652030.99112318231674
1890.006963616000410540.01392723200082110.993036383999589
1900.008180597522085890.01636119504417180.991819402477914
1910.006420981237048920.01284196247409780.993579018762951
1920.006834062625908370.01366812525181670.993165937374092
1930.005241069018882270.01048213803776450.994758930981118
1940.004352600479063570.008705200958127140.995647399520936
1950.004536845198563170.009073690397126340.995463154801437
1960.004476910660762020.008953821321524040.995523089339238
1970.007247204309235520.0144944086184710.992752795690764
1980.00559481226236670.01118962452473340.994405187737633
1990.004208258505023340.008416517010046670.995791741494977
2000.004484705084372980.008969410168745950.995515294915627
2010.003368415059985150.006736830119970310.996631584940015
2020.002624648222293690.005249296444587370.997375351777706
2030.002407498739766880.004814997479533760.997592501260233
2040.001749039874823770.003498079749647540.998250960125176
2050.001383143843499320.002766287686998630.998616856156501
2060.001512279898946240.003024559797892480.998487720101054
2070.001180273925612890.002360547851225770.998819726074387
2080.001337671479777680.002675342959555360.998662328520222
2090.001841577443729890.003683154887459780.99815842255627
2100.002348792362559260.004697584725118510.997651207637441
2110.001710223943804310.003420447887608620.998289776056196
2120.001284882179219290.002569764358438570.998715117820781
2130.005409117456639690.01081823491327940.99459088254336
2140.005594344331619240.01118868866323850.994405655668381
2150.004343288394149510.008686576788299010.99565671160585
2160.003401792288572070.006803584577144140.996598207711428
2170.002711954389753650.00542390877950730.997288045610246
2180.001952464562004420.003904929124008840.998047535437996
2190.003775279660419410.007550559320838810.996224720339581
2200.01378970638484440.02757941276968890.986210293615156
2210.01055674452692870.02111348905385730.989443255473071
2220.2421755748051740.4843511496103480.757824425194826
2230.2050379838936050.410075967787210.794962016106395
2240.2978943711197750.5957887422395510.702105628880225
2250.2643995222644220.5287990445288440.735600477735578
2260.2349474076789590.4698948153579170.765052592321042
2270.4213333731131650.842666746226330.578666626886835
2280.4029990521360040.8059981042720070.597000947863996
2290.3546302096147080.7092604192294150.645369790385292
2300.370427222477540.740854444955080.62957277752246
2310.3238255536959220.6476511073918440.676174446304078
2320.3065133727427510.6130267454855010.693486627257249
2330.430156298530440.8603125970608790.56984370146956
2340.5756976497794640.8486047004410720.424302350220536
2350.5497573962811910.9004852074376180.450242603718809
2360.5135397705222390.9729204589555220.486460229477761
2370.4664314097366450.9328628194732890.533568590263355
2380.4627900328552230.9255800657104460.537209967144777
2390.4107238895463040.8214477790926080.589276110453696
2400.3506401224528380.7012802449056750.649359877547163
2410.297380935474280.594761870948560.70261906452572
2420.2435738437561280.4871476875122550.756426156243872
2430.2021512932974230.4043025865948460.797848706702577
2440.1703537348557440.3407074697114880.829646265144256
2450.2897703821608570.5795407643217140.710229617839143
2460.2714214157906140.5428428315812290.728578584209386
2470.2395824309747560.4791648619495120.760417569025244
2480.188911944347870.3778238886957390.81108805565213
2490.2809498891851370.5618997783702750.719050110814863
2500.2501535459092570.5003070918185140.749846454090743
2510.4048993607793860.8097987215587710.595100639220614
2520.3133178949385970.6266357898771940.686682105061403
2530.3795168992043830.7590337984087670.620483100795617
2540.3245903374322450.6491806748644910.675409662567755
2550.3239359470715420.6478718941430830.676064052928458
2560.2136127467477550.427225493495510.786387253252245

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
13 & 0.689122808815633 & 0.621754382368735 & 0.310877191184367 \tabularnewline
14 & 0.593568981620888 & 0.812862036758224 & 0.406431018379112 \tabularnewline
15 & 0.457550567602948 & 0.915101135205896 & 0.542449432397052 \tabularnewline
16 & 0.365942846876931 & 0.731885693753862 & 0.634057153123069 \tabularnewline
17 & 0.263079738888974 & 0.526159477777947 & 0.736920261111026 \tabularnewline
18 & 0.198951654672496 & 0.397903309344992 & 0.801048345327504 \tabularnewline
19 & 0.143482421799519 & 0.286964843599038 & 0.856517578200481 \tabularnewline
20 & 0.0988800153571038 & 0.197760030714208 & 0.901119984642896 \tabularnewline
21 & 0.089791771986524 & 0.179583543973048 & 0.910208228013476 \tabularnewline
22 & 0.132192125220321 & 0.264384250440641 & 0.867807874779679 \tabularnewline
23 & 0.0896055248354261 & 0.179211049670852 & 0.910394475164574 \tabularnewline
24 & 0.0601107224687437 & 0.120221444937487 & 0.939889277531256 \tabularnewline
25 & 0.0392880455220515 & 0.078576091044103 & 0.960711954477949 \tabularnewline
26 & 0.0254280356672337 & 0.0508560713344674 & 0.974571964332766 \tabularnewline
27 & 0.0189920600227723 & 0.0379841200455446 & 0.981007939977228 \tabularnewline
28 & 0.0116238785195478 & 0.0232477570390956 & 0.988376121480452 \tabularnewline
29 & 0.00863832062115167 & 0.0172766412423033 & 0.991361679378848 \tabularnewline
30 & 0.00628187500178326 & 0.0125637500035665 & 0.993718124998217 \tabularnewline
31 & 0.0114127572207383 & 0.0228255144414766 & 0.988587242779262 \tabularnewline
32 & 0.00710172905360437 & 0.0142034581072087 & 0.992898270946396 \tabularnewline
33 & 0.00589185987926447 & 0.0117837197585289 & 0.994108140120736 \tabularnewline
34 & 0.00435536470138745 & 0.00871072940277489 & 0.995644635298613 \tabularnewline
35 & 0.00357502552321206 & 0.00715005104642412 & 0.996424974476788 \tabularnewline
36 & 0.00379863353079713 & 0.00759726706159426 & 0.996201366469203 \tabularnewline
37 & 0.0042463261609356 & 0.0084926523218712 & 0.995753673839064 \tabularnewline
38 & 0.00360866080546669 & 0.00721732161093337 & 0.996391339194533 \tabularnewline
39 & 0.00325948094562104 & 0.00651896189124208 & 0.996740519054379 \tabularnewline
40 & 0.00353325841576011 & 0.00706651683152021 & 0.99646674158424 \tabularnewline
41 & 0.00221409240246781 & 0.00442818480493562 & 0.997785907597532 \tabularnewline
42 & 0.00504281823091015 & 0.0100856364618203 & 0.99495718176909 \tabularnewline
43 & 0.0043704388497514 & 0.0087408776995028 & 0.995629561150249 \tabularnewline
44 & 0.00342253531740042 & 0.00684507063480084 & 0.9965774646826 \tabularnewline
45 & 0.00960367005227051 & 0.019207340104541 & 0.99039632994773 \tabularnewline
46 & 0.0068581553947939 & 0.0137163107895878 & 0.993141844605206 \tabularnewline
47 & 0.00464649908570973 & 0.00929299817141946 & 0.99535350091429 \tabularnewline
48 & 0.00323540050406808 & 0.00647080100813616 & 0.996764599495932 \tabularnewline
49 & 0.00213502892394755 & 0.0042700578478951 & 0.997864971076052 \tabularnewline
50 & 0.00142427703730622 & 0.00284855407461244 & 0.998575722962694 \tabularnewline
51 & 0.00105314860134146 & 0.00210629720268292 & 0.998946851398659 \tabularnewline
52 & 0.00123651276001988 & 0.00247302552003976 & 0.99876348723998 \tabularnewline
53 & 0.00131265933355282 & 0.00262531866710563 & 0.998687340666447 \tabularnewline
54 & 0.000913051949382015 & 0.00182610389876403 & 0.999086948050618 \tabularnewline
55 & 0.00059152936969569 & 0.00118305873939138 & 0.999408470630304 \tabularnewline
56 & 0.00255705813909431 & 0.00511411627818863 & 0.997442941860906 \tabularnewline
57 & 0.00174079435439417 & 0.00348158870878833 & 0.998259205645606 \tabularnewline
58 & 0.00122907172817254 & 0.00245814345634509 & 0.998770928271827 \tabularnewline
59 & 0.00122552768770099 & 0.00245105537540198 & 0.998774472312299 \tabularnewline
60 & 0.00103099696762878 & 0.00206199393525756 & 0.998969003032371 \tabularnewline
61 & 0.000716920423203069 & 0.00143384084640614 & 0.999283079576797 \tabularnewline
62 & 0.000552598853908089 & 0.00110519770781618 & 0.999447401146092 \tabularnewline
63 & 0.000360083789456791 & 0.000720167578913582 & 0.999639916210543 \tabularnewline
64 & 0.000233830446846861 & 0.000467660893693721 & 0.999766169553153 \tabularnewline
65 & 0.000463453811344839 & 0.000926907622689677 & 0.999536546188655 \tabularnewline
66 & 0.000414555245998226 & 0.000829110491996451 & 0.999585444754002 \tabularnewline
67 & 0.000271802883705218 & 0.000543605767410436 & 0.999728197116295 \tabularnewline
68 & 0.000178304484686774 & 0.000356608969373549 & 0.999821695515313 \tabularnewline
69 & 0.000115129127986101 & 0.000230258255972203 & 0.999884870872014 \tabularnewline
70 & 0.000439764058269845 & 0.000879528116539689 & 0.99956023594173 \tabularnewline
71 & 0.000304828249765697 & 0.000609656499531395 & 0.999695171750234 \tabularnewline
72 & 0.000201059440909916 & 0.000402118881819832 & 0.99979894055909 \tabularnewline
73 & 0.000135545419104999 & 0.000271090838209997 & 0.999864454580895 \tabularnewline
74 & 8.76976904089275e-05 & 0.000175395380817855 & 0.999912302309591 \tabularnewline
75 & 5.60634733000085e-05 & 0.000112126946600017 & 0.9999439365267 \tabularnewline
76 & 4.46651532474092e-05 & 8.93303064948185e-05 & 0.999955334846753 \tabularnewline
77 & 2.82076604480028e-05 & 5.64153208960057e-05 & 0.999971792339552 \tabularnewline
78 & 2.20275924650387e-05 & 4.40551849300773e-05 & 0.999977972407535 \tabularnewline
79 & 1.37996346250594e-05 & 2.75992692501189e-05 & 0.999986200365375 \tabularnewline
80 & 9.22036509628373e-06 & 1.84407301925675e-05 & 0.999990779634904 \tabularnewline
81 & 5.87487638568151e-06 & 1.1749752771363e-05 & 0.999994125123614 \tabularnewline
82 & 7.48636025740398e-06 & 1.4972720514808e-05 & 0.999992513639743 \tabularnewline
83 & 6.39563198907036e-06 & 1.27912639781407e-05 & 0.999993604368011 \tabularnewline
84 & 4.38479639864426e-06 & 8.76959279728852e-06 & 0.999995615203601 \tabularnewline
85 & 2.72736147934433e-06 & 5.45472295868866e-06 & 0.999997272638521 \tabularnewline
86 & 3.03643004486138e-06 & 6.07286008972277e-06 & 0.999996963569955 \tabularnewline
87 & 9.76529730444472e-06 & 1.95305946088894e-05 & 0.999990234702696 \tabularnewline
88 & 2.12314081250611e-05 & 4.24628162501222e-05 & 0.999978768591875 \tabularnewline
89 & 1.37705408967208e-05 & 2.75410817934416e-05 & 0.999986229459103 \tabularnewline
90 & 1.3455792824153e-05 & 2.69115856483059e-05 & 0.999986544207176 \tabularnewline
91 & 1.02212279172219e-05 & 2.04424558344438e-05 & 0.999989778772083 \tabularnewline
92 & 6.89210066786191e-06 & 1.37842013357238e-05 & 0.999993107899332 \tabularnewline
93 & 5.98440608992747e-06 & 1.19688121798549e-05 & 0.99999401559391 \tabularnewline
94 & 9.86761513729799e-06 & 1.9735230274596e-05 & 0.999990132384863 \tabularnewline
95 & 7.83915158049603e-06 & 1.56783031609921e-05 & 0.999992160848419 \tabularnewline
96 & 8.14894500297218e-06 & 1.62978900059444e-05 & 0.999991851054997 \tabularnewline
97 & 1.16147504964514e-05 & 2.32295009929029e-05 & 0.999988385249504 \tabularnewline
98 & 1.10439760975859e-05 & 2.20879521951718e-05 & 0.999988956023902 \tabularnewline
99 & 7.92968885578966e-06 & 1.58593777115793e-05 & 0.999992070311144 \tabularnewline
100 & 5.26665014979676e-06 & 1.05333002995935e-05 & 0.99999473334985 \tabularnewline
101 & 3.51614259632775e-06 & 7.0322851926555e-06 & 0.999996483857404 \tabularnewline
102 & 5.65705647946256e-06 & 1.13141129589251e-05 & 0.999994342943521 \tabularnewline
103 & 4.18716658965138e-06 & 8.37433317930276e-06 & 0.99999581283341 \tabularnewline
104 & 7.56786563384315e-06 & 1.51357312676863e-05 & 0.999992432134366 \tabularnewline
105 & 0.00128156636364356 & 0.00256313272728713 & 0.998718433636356 \tabularnewline
106 & 0.00149554616751917 & 0.00299109233503834 & 0.998504453832481 \tabularnewline
107 & 0.00119244302318283 & 0.00238488604636566 & 0.998807556976817 \tabularnewline
108 & 0.000959977651687888 & 0.00191995530337578 & 0.999040022348312 \tabularnewline
109 & 0.000890511806121892 & 0.00178102361224378 & 0.999109488193878 \tabularnewline
110 & 0.00876165519855031 & 0.0175233103971006 & 0.99123834480145 \tabularnewline
111 & 0.0354509030842789 & 0.0709018061685577 & 0.964549096915721 \tabularnewline
112 & 0.086376990136906 & 0.172753980273812 & 0.913623009863094 \tabularnewline
113 & 0.0910079331165062 & 0.182015866233012 & 0.908992066883494 \tabularnewline
114 & 0.16395078927548 & 0.327901578550961 & 0.83604921072452 \tabularnewline
115 & 0.15844754666365 & 0.316895093327299 & 0.84155245333635 \tabularnewline
116 & 0.154527336873429 & 0.309054673746858 & 0.845472663126571 \tabularnewline
117 & 0.140687116674474 & 0.281374233348949 & 0.859312883325526 \tabularnewline
118 & 0.121384574902519 & 0.242769149805039 & 0.878615425097481 \tabularnewline
119 & 0.108349267651514 & 0.216698535303029 & 0.891650732348486 \tabularnewline
120 & 0.0943675685386217 & 0.188735137077243 & 0.905632431461378 \tabularnewline
121 & 0.118114731305626 & 0.236229462611251 & 0.881885268694374 \tabularnewline
122 & 0.108460495191964 & 0.216920990383927 & 0.891539504808036 \tabularnewline
123 & 0.0933896602728788 & 0.186779320545758 & 0.906610339727121 \tabularnewline
124 & 0.0905349337123217 & 0.181069867424643 & 0.909465066287678 \tabularnewline
125 & 0.109063463988438 & 0.218126927976876 & 0.890936536011562 \tabularnewline
126 & 0.10845399161647 & 0.21690798323294 & 0.89154600838353 \tabularnewline
127 & 0.106054817033319 & 0.212109634066639 & 0.893945182966681 \tabularnewline
128 & 0.0978947787967007 & 0.195789557593401 & 0.902105221203299 \tabularnewline
129 & 0.0832959123085168 & 0.166591824617034 & 0.916704087691483 \tabularnewline
130 & 0.0946609242006481 & 0.189321848401296 & 0.905339075799352 \tabularnewline
131 & 0.111380406571771 & 0.222760813143542 & 0.888619593428229 \tabularnewline
132 & 0.110576530003376 & 0.221153060006752 & 0.889423469996624 \tabularnewline
133 & 0.0974235696383929 & 0.194847139276786 & 0.902576430361607 \tabularnewline
134 & 0.0829458372904615 & 0.165891674580923 & 0.917054162709538 \tabularnewline
135 & 0.0728204595559323 & 0.145640919111865 & 0.927179540444068 \tabularnewline
136 & 0.0629577823781222 & 0.125915564756244 & 0.937042217621878 \tabularnewline
137 & 0.0539157290813674 & 0.107831458162735 & 0.946084270918633 \tabularnewline
138 & 0.0486856247940161 & 0.0973712495880322 & 0.951314375205984 \tabularnewline
139 & 0.0412796681097529 & 0.0825593362195058 & 0.958720331890247 \tabularnewline
140 & 0.0370045350647724 & 0.0740090701295448 & 0.962995464935228 \tabularnewline
141 & 0.0320319930712577 & 0.0640639861425155 & 0.967968006928742 \tabularnewline
142 & 0.0266333354939914 & 0.0532666709879827 & 0.973366664506009 \tabularnewline
143 & 0.023172933110385 & 0.0463458662207701 & 0.976827066889615 \tabularnewline
144 & 0.0206314288113874 & 0.0412628576227748 & 0.979368571188613 \tabularnewline
145 & 0.0192745250100713 & 0.0385490500201425 & 0.980725474989929 \tabularnewline
146 & 0.0157832484408741 & 0.0315664968817483 & 0.984216751559126 \tabularnewline
147 & 0.0126148774861881 & 0.0252297549723763 & 0.987385122513812 \tabularnewline
148 & 0.00998899416402795 & 0.0199779883280559 & 0.990011005835972 \tabularnewline
149 & 0.00808346814240285 & 0.0161669362848057 & 0.991916531857597 \tabularnewline
150 & 0.00709462764998616 & 0.0141892552999723 & 0.992905372350014 \tabularnewline
151 & 0.00562432638627532 & 0.0112486527725506 & 0.994375673613725 \tabularnewline
152 & 0.00449638313200981 & 0.00899276626401961 & 0.99550361686799 \tabularnewline
153 & 0.00639207480477833 & 0.0127841496095567 & 0.993607925195222 \tabularnewline
154 & 0.00498957278169657 & 0.00997914556339314 & 0.995010427218303 \tabularnewline
155 & 0.00531708034930301 & 0.010634160698606 & 0.994682919650697 \tabularnewline
156 & 0.00528330052975435 & 0.0105666010595087 & 0.994716699470246 \tabularnewline
157 & 0.00427574346180463 & 0.00855148692360927 & 0.995724256538195 \tabularnewline
158 & 0.00599536138837334 & 0.0119907227767467 & 0.994004638611627 \tabularnewline
159 & 0.00524360328451238 & 0.0104872065690248 & 0.994756396715488 \tabularnewline
160 & 0.00435950008280335 & 0.0087190001656067 & 0.995640499917197 \tabularnewline
161 & 0.00512419789517782 & 0.0102483957903556 & 0.994875802104822 \tabularnewline
162 & 0.00414034310373423 & 0.00828068620746846 & 0.995859656896266 \tabularnewline
163 & 0.00315604792293383 & 0.00631209584586765 & 0.996843952077066 \tabularnewline
164 & 0.00238567629927244 & 0.00477135259854489 & 0.997614323700728 \tabularnewline
165 & 0.00195848116628742 & 0.00391696233257484 & 0.998041518833713 \tabularnewline
166 & 0.00174117659490352 & 0.00348235318980703 & 0.998258823405097 \tabularnewline
167 & 0.00202400381945906 & 0.00404800763891812 & 0.997975996180541 \tabularnewline
168 & 0.00205420014310699 & 0.00410840028621397 & 0.997945799856893 \tabularnewline
169 & 0.00185908050726023 & 0.00371816101452046 & 0.99814091949274 \tabularnewline
170 & 0.010584098410387 & 0.0211681968207741 & 0.989415901589613 \tabularnewline
171 & 0.00827604196533802 & 0.016552083930676 & 0.991723958034662 \tabularnewline
172 & 0.00725053530016433 & 0.0145010706003287 & 0.992749464699836 \tabularnewline
173 & 0.0128661076117703 & 0.0257322152235407 & 0.98713389238823 \tabularnewline
174 & 0.013976203904443 & 0.027952407808886 & 0.986023796095557 \tabularnewline
175 & 0.0111893312399232 & 0.0223786624798465 & 0.988810668760077 \tabularnewline
176 & 0.011748456881709 & 0.0234969137634179 & 0.988251543118291 \tabularnewline
177 & 0.0162276731140027 & 0.0324553462280054 & 0.983772326885997 \tabularnewline
178 & 0.023054857926284 & 0.0461097158525679 & 0.976945142073716 \tabularnewline
179 & 0.0189154710142204 & 0.0378309420284407 & 0.98108452898578 \tabularnewline
180 & 0.017363942893253 & 0.0347278857865061 & 0.982636057106747 \tabularnewline
181 & 0.0156984603330208 & 0.0313969206660415 & 0.984301539666979 \tabularnewline
182 & 0.0123596286446534 & 0.0247192572893067 & 0.987640371355347 \tabularnewline
183 & 0.0112855333056687 & 0.0225710666113373 & 0.988714466694331 \tabularnewline
184 & 0.00876392187660876 & 0.0175278437532175 & 0.991236078123391 \tabularnewline
185 & 0.00833010082527985 & 0.0166602016505597 & 0.99166989917472 \tabularnewline
186 & 0.00639083936115186 & 0.0127816787223037 & 0.993609160638848 \tabularnewline
187 & 0.00497137690825814 & 0.00994275381651628 & 0.995028623091742 \tabularnewline
188 & 0.00887681768326017 & 0.0177536353665203 & 0.99112318231674 \tabularnewline
189 & 0.00696361600041054 & 0.0139272320008211 & 0.993036383999589 \tabularnewline
190 & 0.00818059752208589 & 0.0163611950441718 & 0.991819402477914 \tabularnewline
191 & 0.00642098123704892 & 0.0128419624740978 & 0.993579018762951 \tabularnewline
192 & 0.00683406262590837 & 0.0136681252518167 & 0.993165937374092 \tabularnewline
193 & 0.00524106901888227 & 0.0104821380377645 & 0.994758930981118 \tabularnewline
194 & 0.00435260047906357 & 0.00870520095812714 & 0.995647399520936 \tabularnewline
195 & 0.00453684519856317 & 0.00907369039712634 & 0.995463154801437 \tabularnewline
196 & 0.00447691066076202 & 0.00895382132152404 & 0.995523089339238 \tabularnewline
197 & 0.00724720430923552 & 0.014494408618471 & 0.992752795690764 \tabularnewline
198 & 0.0055948122623667 & 0.0111896245247334 & 0.994405187737633 \tabularnewline
199 & 0.00420825850502334 & 0.00841651701004667 & 0.995791741494977 \tabularnewline
200 & 0.00448470508437298 & 0.00896941016874595 & 0.995515294915627 \tabularnewline
201 & 0.00336841505998515 & 0.00673683011997031 & 0.996631584940015 \tabularnewline
202 & 0.00262464822229369 & 0.00524929644458737 & 0.997375351777706 \tabularnewline
203 & 0.00240749873976688 & 0.00481499747953376 & 0.997592501260233 \tabularnewline
204 & 0.00174903987482377 & 0.00349807974964754 & 0.998250960125176 \tabularnewline
205 & 0.00138314384349932 & 0.00276628768699863 & 0.998616856156501 \tabularnewline
206 & 0.00151227989894624 & 0.00302455979789248 & 0.998487720101054 \tabularnewline
207 & 0.00118027392561289 & 0.00236054785122577 & 0.998819726074387 \tabularnewline
208 & 0.00133767147977768 & 0.00267534295955536 & 0.998662328520222 \tabularnewline
209 & 0.00184157744372989 & 0.00368315488745978 & 0.99815842255627 \tabularnewline
210 & 0.00234879236255926 & 0.00469758472511851 & 0.997651207637441 \tabularnewline
211 & 0.00171022394380431 & 0.00342044788760862 & 0.998289776056196 \tabularnewline
212 & 0.00128488217921929 & 0.00256976435843857 & 0.998715117820781 \tabularnewline
213 & 0.00540911745663969 & 0.0108182349132794 & 0.99459088254336 \tabularnewline
214 & 0.00559434433161924 & 0.0111886886632385 & 0.994405655668381 \tabularnewline
215 & 0.00434328839414951 & 0.00868657678829901 & 0.99565671160585 \tabularnewline
216 & 0.00340179228857207 & 0.00680358457714414 & 0.996598207711428 \tabularnewline
217 & 0.00271195438975365 & 0.0054239087795073 & 0.997288045610246 \tabularnewline
218 & 0.00195246456200442 & 0.00390492912400884 & 0.998047535437996 \tabularnewline
219 & 0.00377527966041941 & 0.00755055932083881 & 0.996224720339581 \tabularnewline
220 & 0.0137897063848444 & 0.0275794127696889 & 0.986210293615156 \tabularnewline
221 & 0.0105567445269287 & 0.0211134890538573 & 0.989443255473071 \tabularnewline
222 & 0.242175574805174 & 0.484351149610348 & 0.757824425194826 \tabularnewline
223 & 0.205037983893605 & 0.41007596778721 & 0.794962016106395 \tabularnewline
224 & 0.297894371119775 & 0.595788742239551 & 0.702105628880225 \tabularnewline
225 & 0.264399522264422 & 0.528799044528844 & 0.735600477735578 \tabularnewline
226 & 0.234947407678959 & 0.469894815357917 & 0.765052592321042 \tabularnewline
227 & 0.421333373113165 & 0.84266674622633 & 0.578666626886835 \tabularnewline
228 & 0.402999052136004 & 0.805998104272007 & 0.597000947863996 \tabularnewline
229 & 0.354630209614708 & 0.709260419229415 & 0.645369790385292 \tabularnewline
230 & 0.37042722247754 & 0.74085444495508 & 0.62957277752246 \tabularnewline
231 & 0.323825553695922 & 0.647651107391844 & 0.676174446304078 \tabularnewline
232 & 0.306513372742751 & 0.613026745485501 & 0.693486627257249 \tabularnewline
233 & 0.43015629853044 & 0.860312597060879 & 0.56984370146956 \tabularnewline
234 & 0.575697649779464 & 0.848604700441072 & 0.424302350220536 \tabularnewline
235 & 0.549757396281191 & 0.900485207437618 & 0.450242603718809 \tabularnewline
236 & 0.513539770522239 & 0.972920458955522 & 0.486460229477761 \tabularnewline
237 & 0.466431409736645 & 0.932862819473289 & 0.533568590263355 \tabularnewline
238 & 0.462790032855223 & 0.925580065710446 & 0.537209967144777 \tabularnewline
239 & 0.410723889546304 & 0.821447779092608 & 0.589276110453696 \tabularnewline
240 & 0.350640122452838 & 0.701280244905675 & 0.649359877547163 \tabularnewline
241 & 0.29738093547428 & 0.59476187094856 & 0.70261906452572 \tabularnewline
242 & 0.243573843756128 & 0.487147687512255 & 0.756426156243872 \tabularnewline
243 & 0.202151293297423 & 0.404302586594846 & 0.797848706702577 \tabularnewline
244 & 0.170353734855744 & 0.340707469711488 & 0.829646265144256 \tabularnewline
245 & 0.289770382160857 & 0.579540764321714 & 0.710229617839143 \tabularnewline
246 & 0.271421415790614 & 0.542842831581229 & 0.728578584209386 \tabularnewline
247 & 0.239582430974756 & 0.479164861949512 & 0.760417569025244 \tabularnewline
248 & 0.18891194434787 & 0.377823888695739 & 0.81108805565213 \tabularnewline
249 & 0.280949889185137 & 0.561899778370275 & 0.719050110814863 \tabularnewline
250 & 0.250153545909257 & 0.500307091818514 & 0.749846454090743 \tabularnewline
251 & 0.404899360779386 & 0.809798721558771 & 0.595100639220614 \tabularnewline
252 & 0.313317894938597 & 0.626635789877194 & 0.686682105061403 \tabularnewline
253 & 0.379516899204383 & 0.759033798408767 & 0.620483100795617 \tabularnewline
254 & 0.324590337432245 & 0.649180674864491 & 0.675409662567755 \tabularnewline
255 & 0.323935947071542 & 0.647871894143083 & 0.676064052928458 \tabularnewline
256 & 0.213612746747755 & 0.42722549349551 & 0.786387253252245 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205518&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]13[/C][C]0.689122808815633[/C][C]0.621754382368735[/C][C]0.310877191184367[/C][/ROW]
[ROW][C]14[/C][C]0.593568981620888[/C][C]0.812862036758224[/C][C]0.406431018379112[/C][/ROW]
[ROW][C]15[/C][C]0.457550567602948[/C][C]0.915101135205896[/C][C]0.542449432397052[/C][/ROW]
[ROW][C]16[/C][C]0.365942846876931[/C][C]0.731885693753862[/C][C]0.634057153123069[/C][/ROW]
[ROW][C]17[/C][C]0.263079738888974[/C][C]0.526159477777947[/C][C]0.736920261111026[/C][/ROW]
[ROW][C]18[/C][C]0.198951654672496[/C][C]0.397903309344992[/C][C]0.801048345327504[/C][/ROW]
[ROW][C]19[/C][C]0.143482421799519[/C][C]0.286964843599038[/C][C]0.856517578200481[/C][/ROW]
[ROW][C]20[/C][C]0.0988800153571038[/C][C]0.197760030714208[/C][C]0.901119984642896[/C][/ROW]
[ROW][C]21[/C][C]0.089791771986524[/C][C]0.179583543973048[/C][C]0.910208228013476[/C][/ROW]
[ROW][C]22[/C][C]0.132192125220321[/C][C]0.264384250440641[/C][C]0.867807874779679[/C][/ROW]
[ROW][C]23[/C][C]0.0896055248354261[/C][C]0.179211049670852[/C][C]0.910394475164574[/C][/ROW]
[ROW][C]24[/C][C]0.0601107224687437[/C][C]0.120221444937487[/C][C]0.939889277531256[/C][/ROW]
[ROW][C]25[/C][C]0.0392880455220515[/C][C]0.078576091044103[/C][C]0.960711954477949[/C][/ROW]
[ROW][C]26[/C][C]0.0254280356672337[/C][C]0.0508560713344674[/C][C]0.974571964332766[/C][/ROW]
[ROW][C]27[/C][C]0.0189920600227723[/C][C]0.0379841200455446[/C][C]0.981007939977228[/C][/ROW]
[ROW][C]28[/C][C]0.0116238785195478[/C][C]0.0232477570390956[/C][C]0.988376121480452[/C][/ROW]
[ROW][C]29[/C][C]0.00863832062115167[/C][C]0.0172766412423033[/C][C]0.991361679378848[/C][/ROW]
[ROW][C]30[/C][C]0.00628187500178326[/C][C]0.0125637500035665[/C][C]0.993718124998217[/C][/ROW]
[ROW][C]31[/C][C]0.0114127572207383[/C][C]0.0228255144414766[/C][C]0.988587242779262[/C][/ROW]
[ROW][C]32[/C][C]0.00710172905360437[/C][C]0.0142034581072087[/C][C]0.992898270946396[/C][/ROW]
[ROW][C]33[/C][C]0.00589185987926447[/C][C]0.0117837197585289[/C][C]0.994108140120736[/C][/ROW]
[ROW][C]34[/C][C]0.00435536470138745[/C][C]0.00871072940277489[/C][C]0.995644635298613[/C][/ROW]
[ROW][C]35[/C][C]0.00357502552321206[/C][C]0.00715005104642412[/C][C]0.996424974476788[/C][/ROW]
[ROW][C]36[/C][C]0.00379863353079713[/C][C]0.00759726706159426[/C][C]0.996201366469203[/C][/ROW]
[ROW][C]37[/C][C]0.0042463261609356[/C][C]0.0084926523218712[/C][C]0.995753673839064[/C][/ROW]
[ROW][C]38[/C][C]0.00360866080546669[/C][C]0.00721732161093337[/C][C]0.996391339194533[/C][/ROW]
[ROW][C]39[/C][C]0.00325948094562104[/C][C]0.00651896189124208[/C][C]0.996740519054379[/C][/ROW]
[ROW][C]40[/C][C]0.00353325841576011[/C][C]0.00706651683152021[/C][C]0.99646674158424[/C][/ROW]
[ROW][C]41[/C][C]0.00221409240246781[/C][C]0.00442818480493562[/C][C]0.997785907597532[/C][/ROW]
[ROW][C]42[/C][C]0.00504281823091015[/C][C]0.0100856364618203[/C][C]0.99495718176909[/C][/ROW]
[ROW][C]43[/C][C]0.0043704388497514[/C][C]0.0087408776995028[/C][C]0.995629561150249[/C][/ROW]
[ROW][C]44[/C][C]0.00342253531740042[/C][C]0.00684507063480084[/C][C]0.9965774646826[/C][/ROW]
[ROW][C]45[/C][C]0.00960367005227051[/C][C]0.019207340104541[/C][C]0.99039632994773[/C][/ROW]
[ROW][C]46[/C][C]0.0068581553947939[/C][C]0.0137163107895878[/C][C]0.993141844605206[/C][/ROW]
[ROW][C]47[/C][C]0.00464649908570973[/C][C]0.00929299817141946[/C][C]0.99535350091429[/C][/ROW]
[ROW][C]48[/C][C]0.00323540050406808[/C][C]0.00647080100813616[/C][C]0.996764599495932[/C][/ROW]
[ROW][C]49[/C][C]0.00213502892394755[/C][C]0.0042700578478951[/C][C]0.997864971076052[/C][/ROW]
[ROW][C]50[/C][C]0.00142427703730622[/C][C]0.00284855407461244[/C][C]0.998575722962694[/C][/ROW]
[ROW][C]51[/C][C]0.00105314860134146[/C][C]0.00210629720268292[/C][C]0.998946851398659[/C][/ROW]
[ROW][C]52[/C][C]0.00123651276001988[/C][C]0.00247302552003976[/C][C]0.99876348723998[/C][/ROW]
[ROW][C]53[/C][C]0.00131265933355282[/C][C]0.00262531866710563[/C][C]0.998687340666447[/C][/ROW]
[ROW][C]54[/C][C]0.000913051949382015[/C][C]0.00182610389876403[/C][C]0.999086948050618[/C][/ROW]
[ROW][C]55[/C][C]0.00059152936969569[/C][C]0.00118305873939138[/C][C]0.999408470630304[/C][/ROW]
[ROW][C]56[/C][C]0.00255705813909431[/C][C]0.00511411627818863[/C][C]0.997442941860906[/C][/ROW]
[ROW][C]57[/C][C]0.00174079435439417[/C][C]0.00348158870878833[/C][C]0.998259205645606[/C][/ROW]
[ROW][C]58[/C][C]0.00122907172817254[/C][C]0.00245814345634509[/C][C]0.998770928271827[/C][/ROW]
[ROW][C]59[/C][C]0.00122552768770099[/C][C]0.00245105537540198[/C][C]0.998774472312299[/C][/ROW]
[ROW][C]60[/C][C]0.00103099696762878[/C][C]0.00206199393525756[/C][C]0.998969003032371[/C][/ROW]
[ROW][C]61[/C][C]0.000716920423203069[/C][C]0.00143384084640614[/C][C]0.999283079576797[/C][/ROW]
[ROW][C]62[/C][C]0.000552598853908089[/C][C]0.00110519770781618[/C][C]0.999447401146092[/C][/ROW]
[ROW][C]63[/C][C]0.000360083789456791[/C][C]0.000720167578913582[/C][C]0.999639916210543[/C][/ROW]
[ROW][C]64[/C][C]0.000233830446846861[/C][C]0.000467660893693721[/C][C]0.999766169553153[/C][/ROW]
[ROW][C]65[/C][C]0.000463453811344839[/C][C]0.000926907622689677[/C][C]0.999536546188655[/C][/ROW]
[ROW][C]66[/C][C]0.000414555245998226[/C][C]0.000829110491996451[/C][C]0.999585444754002[/C][/ROW]
[ROW][C]67[/C][C]0.000271802883705218[/C][C]0.000543605767410436[/C][C]0.999728197116295[/C][/ROW]
[ROW][C]68[/C][C]0.000178304484686774[/C][C]0.000356608969373549[/C][C]0.999821695515313[/C][/ROW]
[ROW][C]69[/C][C]0.000115129127986101[/C][C]0.000230258255972203[/C][C]0.999884870872014[/C][/ROW]
[ROW][C]70[/C][C]0.000439764058269845[/C][C]0.000879528116539689[/C][C]0.99956023594173[/C][/ROW]
[ROW][C]71[/C][C]0.000304828249765697[/C][C]0.000609656499531395[/C][C]0.999695171750234[/C][/ROW]
[ROW][C]72[/C][C]0.000201059440909916[/C][C]0.000402118881819832[/C][C]0.99979894055909[/C][/ROW]
[ROW][C]73[/C][C]0.000135545419104999[/C][C]0.000271090838209997[/C][C]0.999864454580895[/C][/ROW]
[ROW][C]74[/C][C]8.76976904089275e-05[/C][C]0.000175395380817855[/C][C]0.999912302309591[/C][/ROW]
[ROW][C]75[/C][C]5.60634733000085e-05[/C][C]0.000112126946600017[/C][C]0.9999439365267[/C][/ROW]
[ROW][C]76[/C][C]4.46651532474092e-05[/C][C]8.93303064948185e-05[/C][C]0.999955334846753[/C][/ROW]
[ROW][C]77[/C][C]2.82076604480028e-05[/C][C]5.64153208960057e-05[/C][C]0.999971792339552[/C][/ROW]
[ROW][C]78[/C][C]2.20275924650387e-05[/C][C]4.40551849300773e-05[/C][C]0.999977972407535[/C][/ROW]
[ROW][C]79[/C][C]1.37996346250594e-05[/C][C]2.75992692501189e-05[/C][C]0.999986200365375[/C][/ROW]
[ROW][C]80[/C][C]9.22036509628373e-06[/C][C]1.84407301925675e-05[/C][C]0.999990779634904[/C][/ROW]
[ROW][C]81[/C][C]5.87487638568151e-06[/C][C]1.1749752771363e-05[/C][C]0.999994125123614[/C][/ROW]
[ROW][C]82[/C][C]7.48636025740398e-06[/C][C]1.4972720514808e-05[/C][C]0.999992513639743[/C][/ROW]
[ROW][C]83[/C][C]6.39563198907036e-06[/C][C]1.27912639781407e-05[/C][C]0.999993604368011[/C][/ROW]
[ROW][C]84[/C][C]4.38479639864426e-06[/C][C]8.76959279728852e-06[/C][C]0.999995615203601[/C][/ROW]
[ROW][C]85[/C][C]2.72736147934433e-06[/C][C]5.45472295868866e-06[/C][C]0.999997272638521[/C][/ROW]
[ROW][C]86[/C][C]3.03643004486138e-06[/C][C]6.07286008972277e-06[/C][C]0.999996963569955[/C][/ROW]
[ROW][C]87[/C][C]9.76529730444472e-06[/C][C]1.95305946088894e-05[/C][C]0.999990234702696[/C][/ROW]
[ROW][C]88[/C][C]2.12314081250611e-05[/C][C]4.24628162501222e-05[/C][C]0.999978768591875[/C][/ROW]
[ROW][C]89[/C][C]1.37705408967208e-05[/C][C]2.75410817934416e-05[/C][C]0.999986229459103[/C][/ROW]
[ROW][C]90[/C][C]1.3455792824153e-05[/C][C]2.69115856483059e-05[/C][C]0.999986544207176[/C][/ROW]
[ROW][C]91[/C][C]1.02212279172219e-05[/C][C]2.04424558344438e-05[/C][C]0.999989778772083[/C][/ROW]
[ROW][C]92[/C][C]6.89210066786191e-06[/C][C]1.37842013357238e-05[/C][C]0.999993107899332[/C][/ROW]
[ROW][C]93[/C][C]5.98440608992747e-06[/C][C]1.19688121798549e-05[/C][C]0.99999401559391[/C][/ROW]
[ROW][C]94[/C][C]9.86761513729799e-06[/C][C]1.9735230274596e-05[/C][C]0.999990132384863[/C][/ROW]
[ROW][C]95[/C][C]7.83915158049603e-06[/C][C]1.56783031609921e-05[/C][C]0.999992160848419[/C][/ROW]
[ROW][C]96[/C][C]8.14894500297218e-06[/C][C]1.62978900059444e-05[/C][C]0.999991851054997[/C][/ROW]
[ROW][C]97[/C][C]1.16147504964514e-05[/C][C]2.32295009929029e-05[/C][C]0.999988385249504[/C][/ROW]
[ROW][C]98[/C][C]1.10439760975859e-05[/C][C]2.20879521951718e-05[/C][C]0.999988956023902[/C][/ROW]
[ROW][C]99[/C][C]7.92968885578966e-06[/C][C]1.58593777115793e-05[/C][C]0.999992070311144[/C][/ROW]
[ROW][C]100[/C][C]5.26665014979676e-06[/C][C]1.05333002995935e-05[/C][C]0.99999473334985[/C][/ROW]
[ROW][C]101[/C][C]3.51614259632775e-06[/C][C]7.0322851926555e-06[/C][C]0.999996483857404[/C][/ROW]
[ROW][C]102[/C][C]5.65705647946256e-06[/C][C]1.13141129589251e-05[/C][C]0.999994342943521[/C][/ROW]
[ROW][C]103[/C][C]4.18716658965138e-06[/C][C]8.37433317930276e-06[/C][C]0.99999581283341[/C][/ROW]
[ROW][C]104[/C][C]7.56786563384315e-06[/C][C]1.51357312676863e-05[/C][C]0.999992432134366[/C][/ROW]
[ROW][C]105[/C][C]0.00128156636364356[/C][C]0.00256313272728713[/C][C]0.998718433636356[/C][/ROW]
[ROW][C]106[/C][C]0.00149554616751917[/C][C]0.00299109233503834[/C][C]0.998504453832481[/C][/ROW]
[ROW][C]107[/C][C]0.00119244302318283[/C][C]0.00238488604636566[/C][C]0.998807556976817[/C][/ROW]
[ROW][C]108[/C][C]0.000959977651687888[/C][C]0.00191995530337578[/C][C]0.999040022348312[/C][/ROW]
[ROW][C]109[/C][C]0.000890511806121892[/C][C]0.00178102361224378[/C][C]0.999109488193878[/C][/ROW]
[ROW][C]110[/C][C]0.00876165519855031[/C][C]0.0175233103971006[/C][C]0.99123834480145[/C][/ROW]
[ROW][C]111[/C][C]0.0354509030842789[/C][C]0.0709018061685577[/C][C]0.964549096915721[/C][/ROW]
[ROW][C]112[/C][C]0.086376990136906[/C][C]0.172753980273812[/C][C]0.913623009863094[/C][/ROW]
[ROW][C]113[/C][C]0.0910079331165062[/C][C]0.182015866233012[/C][C]0.908992066883494[/C][/ROW]
[ROW][C]114[/C][C]0.16395078927548[/C][C]0.327901578550961[/C][C]0.83604921072452[/C][/ROW]
[ROW][C]115[/C][C]0.15844754666365[/C][C]0.316895093327299[/C][C]0.84155245333635[/C][/ROW]
[ROW][C]116[/C][C]0.154527336873429[/C][C]0.309054673746858[/C][C]0.845472663126571[/C][/ROW]
[ROW][C]117[/C][C]0.140687116674474[/C][C]0.281374233348949[/C][C]0.859312883325526[/C][/ROW]
[ROW][C]118[/C][C]0.121384574902519[/C][C]0.242769149805039[/C][C]0.878615425097481[/C][/ROW]
[ROW][C]119[/C][C]0.108349267651514[/C][C]0.216698535303029[/C][C]0.891650732348486[/C][/ROW]
[ROW][C]120[/C][C]0.0943675685386217[/C][C]0.188735137077243[/C][C]0.905632431461378[/C][/ROW]
[ROW][C]121[/C][C]0.118114731305626[/C][C]0.236229462611251[/C][C]0.881885268694374[/C][/ROW]
[ROW][C]122[/C][C]0.108460495191964[/C][C]0.216920990383927[/C][C]0.891539504808036[/C][/ROW]
[ROW][C]123[/C][C]0.0933896602728788[/C][C]0.186779320545758[/C][C]0.906610339727121[/C][/ROW]
[ROW][C]124[/C][C]0.0905349337123217[/C][C]0.181069867424643[/C][C]0.909465066287678[/C][/ROW]
[ROW][C]125[/C][C]0.109063463988438[/C][C]0.218126927976876[/C][C]0.890936536011562[/C][/ROW]
[ROW][C]126[/C][C]0.10845399161647[/C][C]0.21690798323294[/C][C]0.89154600838353[/C][/ROW]
[ROW][C]127[/C][C]0.106054817033319[/C][C]0.212109634066639[/C][C]0.893945182966681[/C][/ROW]
[ROW][C]128[/C][C]0.0978947787967007[/C][C]0.195789557593401[/C][C]0.902105221203299[/C][/ROW]
[ROW][C]129[/C][C]0.0832959123085168[/C][C]0.166591824617034[/C][C]0.916704087691483[/C][/ROW]
[ROW][C]130[/C][C]0.0946609242006481[/C][C]0.189321848401296[/C][C]0.905339075799352[/C][/ROW]
[ROW][C]131[/C][C]0.111380406571771[/C][C]0.222760813143542[/C][C]0.888619593428229[/C][/ROW]
[ROW][C]132[/C][C]0.110576530003376[/C][C]0.221153060006752[/C][C]0.889423469996624[/C][/ROW]
[ROW][C]133[/C][C]0.0974235696383929[/C][C]0.194847139276786[/C][C]0.902576430361607[/C][/ROW]
[ROW][C]134[/C][C]0.0829458372904615[/C][C]0.165891674580923[/C][C]0.917054162709538[/C][/ROW]
[ROW][C]135[/C][C]0.0728204595559323[/C][C]0.145640919111865[/C][C]0.927179540444068[/C][/ROW]
[ROW][C]136[/C][C]0.0629577823781222[/C][C]0.125915564756244[/C][C]0.937042217621878[/C][/ROW]
[ROW][C]137[/C][C]0.0539157290813674[/C][C]0.107831458162735[/C][C]0.946084270918633[/C][/ROW]
[ROW][C]138[/C][C]0.0486856247940161[/C][C]0.0973712495880322[/C][C]0.951314375205984[/C][/ROW]
[ROW][C]139[/C][C]0.0412796681097529[/C][C]0.0825593362195058[/C][C]0.958720331890247[/C][/ROW]
[ROW][C]140[/C][C]0.0370045350647724[/C][C]0.0740090701295448[/C][C]0.962995464935228[/C][/ROW]
[ROW][C]141[/C][C]0.0320319930712577[/C][C]0.0640639861425155[/C][C]0.967968006928742[/C][/ROW]
[ROW][C]142[/C][C]0.0266333354939914[/C][C]0.0532666709879827[/C][C]0.973366664506009[/C][/ROW]
[ROW][C]143[/C][C]0.023172933110385[/C][C]0.0463458662207701[/C][C]0.976827066889615[/C][/ROW]
[ROW][C]144[/C][C]0.0206314288113874[/C][C]0.0412628576227748[/C][C]0.979368571188613[/C][/ROW]
[ROW][C]145[/C][C]0.0192745250100713[/C][C]0.0385490500201425[/C][C]0.980725474989929[/C][/ROW]
[ROW][C]146[/C][C]0.0157832484408741[/C][C]0.0315664968817483[/C][C]0.984216751559126[/C][/ROW]
[ROW][C]147[/C][C]0.0126148774861881[/C][C]0.0252297549723763[/C][C]0.987385122513812[/C][/ROW]
[ROW][C]148[/C][C]0.00998899416402795[/C][C]0.0199779883280559[/C][C]0.990011005835972[/C][/ROW]
[ROW][C]149[/C][C]0.00808346814240285[/C][C]0.0161669362848057[/C][C]0.991916531857597[/C][/ROW]
[ROW][C]150[/C][C]0.00709462764998616[/C][C]0.0141892552999723[/C][C]0.992905372350014[/C][/ROW]
[ROW][C]151[/C][C]0.00562432638627532[/C][C]0.0112486527725506[/C][C]0.994375673613725[/C][/ROW]
[ROW][C]152[/C][C]0.00449638313200981[/C][C]0.00899276626401961[/C][C]0.99550361686799[/C][/ROW]
[ROW][C]153[/C][C]0.00639207480477833[/C][C]0.0127841496095567[/C][C]0.993607925195222[/C][/ROW]
[ROW][C]154[/C][C]0.00498957278169657[/C][C]0.00997914556339314[/C][C]0.995010427218303[/C][/ROW]
[ROW][C]155[/C][C]0.00531708034930301[/C][C]0.010634160698606[/C][C]0.994682919650697[/C][/ROW]
[ROW][C]156[/C][C]0.00528330052975435[/C][C]0.0105666010595087[/C][C]0.994716699470246[/C][/ROW]
[ROW][C]157[/C][C]0.00427574346180463[/C][C]0.00855148692360927[/C][C]0.995724256538195[/C][/ROW]
[ROW][C]158[/C][C]0.00599536138837334[/C][C]0.0119907227767467[/C][C]0.994004638611627[/C][/ROW]
[ROW][C]159[/C][C]0.00524360328451238[/C][C]0.0104872065690248[/C][C]0.994756396715488[/C][/ROW]
[ROW][C]160[/C][C]0.00435950008280335[/C][C]0.0087190001656067[/C][C]0.995640499917197[/C][/ROW]
[ROW][C]161[/C][C]0.00512419789517782[/C][C]0.0102483957903556[/C][C]0.994875802104822[/C][/ROW]
[ROW][C]162[/C][C]0.00414034310373423[/C][C]0.00828068620746846[/C][C]0.995859656896266[/C][/ROW]
[ROW][C]163[/C][C]0.00315604792293383[/C][C]0.00631209584586765[/C][C]0.996843952077066[/C][/ROW]
[ROW][C]164[/C][C]0.00238567629927244[/C][C]0.00477135259854489[/C][C]0.997614323700728[/C][/ROW]
[ROW][C]165[/C][C]0.00195848116628742[/C][C]0.00391696233257484[/C][C]0.998041518833713[/C][/ROW]
[ROW][C]166[/C][C]0.00174117659490352[/C][C]0.00348235318980703[/C][C]0.998258823405097[/C][/ROW]
[ROW][C]167[/C][C]0.00202400381945906[/C][C]0.00404800763891812[/C][C]0.997975996180541[/C][/ROW]
[ROW][C]168[/C][C]0.00205420014310699[/C][C]0.00410840028621397[/C][C]0.997945799856893[/C][/ROW]
[ROW][C]169[/C][C]0.00185908050726023[/C][C]0.00371816101452046[/C][C]0.99814091949274[/C][/ROW]
[ROW][C]170[/C][C]0.010584098410387[/C][C]0.0211681968207741[/C][C]0.989415901589613[/C][/ROW]
[ROW][C]171[/C][C]0.00827604196533802[/C][C]0.016552083930676[/C][C]0.991723958034662[/C][/ROW]
[ROW][C]172[/C][C]0.00725053530016433[/C][C]0.0145010706003287[/C][C]0.992749464699836[/C][/ROW]
[ROW][C]173[/C][C]0.0128661076117703[/C][C]0.0257322152235407[/C][C]0.98713389238823[/C][/ROW]
[ROW][C]174[/C][C]0.013976203904443[/C][C]0.027952407808886[/C][C]0.986023796095557[/C][/ROW]
[ROW][C]175[/C][C]0.0111893312399232[/C][C]0.0223786624798465[/C][C]0.988810668760077[/C][/ROW]
[ROW][C]176[/C][C]0.011748456881709[/C][C]0.0234969137634179[/C][C]0.988251543118291[/C][/ROW]
[ROW][C]177[/C][C]0.0162276731140027[/C][C]0.0324553462280054[/C][C]0.983772326885997[/C][/ROW]
[ROW][C]178[/C][C]0.023054857926284[/C][C]0.0461097158525679[/C][C]0.976945142073716[/C][/ROW]
[ROW][C]179[/C][C]0.0189154710142204[/C][C]0.0378309420284407[/C][C]0.98108452898578[/C][/ROW]
[ROW][C]180[/C][C]0.017363942893253[/C][C]0.0347278857865061[/C][C]0.982636057106747[/C][/ROW]
[ROW][C]181[/C][C]0.0156984603330208[/C][C]0.0313969206660415[/C][C]0.984301539666979[/C][/ROW]
[ROW][C]182[/C][C]0.0123596286446534[/C][C]0.0247192572893067[/C][C]0.987640371355347[/C][/ROW]
[ROW][C]183[/C][C]0.0112855333056687[/C][C]0.0225710666113373[/C][C]0.988714466694331[/C][/ROW]
[ROW][C]184[/C][C]0.00876392187660876[/C][C]0.0175278437532175[/C][C]0.991236078123391[/C][/ROW]
[ROW][C]185[/C][C]0.00833010082527985[/C][C]0.0166602016505597[/C][C]0.99166989917472[/C][/ROW]
[ROW][C]186[/C][C]0.00639083936115186[/C][C]0.0127816787223037[/C][C]0.993609160638848[/C][/ROW]
[ROW][C]187[/C][C]0.00497137690825814[/C][C]0.00994275381651628[/C][C]0.995028623091742[/C][/ROW]
[ROW][C]188[/C][C]0.00887681768326017[/C][C]0.0177536353665203[/C][C]0.99112318231674[/C][/ROW]
[ROW][C]189[/C][C]0.00696361600041054[/C][C]0.0139272320008211[/C][C]0.993036383999589[/C][/ROW]
[ROW][C]190[/C][C]0.00818059752208589[/C][C]0.0163611950441718[/C][C]0.991819402477914[/C][/ROW]
[ROW][C]191[/C][C]0.00642098123704892[/C][C]0.0128419624740978[/C][C]0.993579018762951[/C][/ROW]
[ROW][C]192[/C][C]0.00683406262590837[/C][C]0.0136681252518167[/C][C]0.993165937374092[/C][/ROW]
[ROW][C]193[/C][C]0.00524106901888227[/C][C]0.0104821380377645[/C][C]0.994758930981118[/C][/ROW]
[ROW][C]194[/C][C]0.00435260047906357[/C][C]0.00870520095812714[/C][C]0.995647399520936[/C][/ROW]
[ROW][C]195[/C][C]0.00453684519856317[/C][C]0.00907369039712634[/C][C]0.995463154801437[/C][/ROW]
[ROW][C]196[/C][C]0.00447691066076202[/C][C]0.00895382132152404[/C][C]0.995523089339238[/C][/ROW]
[ROW][C]197[/C][C]0.00724720430923552[/C][C]0.014494408618471[/C][C]0.992752795690764[/C][/ROW]
[ROW][C]198[/C][C]0.0055948122623667[/C][C]0.0111896245247334[/C][C]0.994405187737633[/C][/ROW]
[ROW][C]199[/C][C]0.00420825850502334[/C][C]0.00841651701004667[/C][C]0.995791741494977[/C][/ROW]
[ROW][C]200[/C][C]0.00448470508437298[/C][C]0.00896941016874595[/C][C]0.995515294915627[/C][/ROW]
[ROW][C]201[/C][C]0.00336841505998515[/C][C]0.00673683011997031[/C][C]0.996631584940015[/C][/ROW]
[ROW][C]202[/C][C]0.00262464822229369[/C][C]0.00524929644458737[/C][C]0.997375351777706[/C][/ROW]
[ROW][C]203[/C][C]0.00240749873976688[/C][C]0.00481499747953376[/C][C]0.997592501260233[/C][/ROW]
[ROW][C]204[/C][C]0.00174903987482377[/C][C]0.00349807974964754[/C][C]0.998250960125176[/C][/ROW]
[ROW][C]205[/C][C]0.00138314384349932[/C][C]0.00276628768699863[/C][C]0.998616856156501[/C][/ROW]
[ROW][C]206[/C][C]0.00151227989894624[/C][C]0.00302455979789248[/C][C]0.998487720101054[/C][/ROW]
[ROW][C]207[/C][C]0.00118027392561289[/C][C]0.00236054785122577[/C][C]0.998819726074387[/C][/ROW]
[ROW][C]208[/C][C]0.00133767147977768[/C][C]0.00267534295955536[/C][C]0.998662328520222[/C][/ROW]
[ROW][C]209[/C][C]0.00184157744372989[/C][C]0.00368315488745978[/C][C]0.99815842255627[/C][/ROW]
[ROW][C]210[/C][C]0.00234879236255926[/C][C]0.00469758472511851[/C][C]0.997651207637441[/C][/ROW]
[ROW][C]211[/C][C]0.00171022394380431[/C][C]0.00342044788760862[/C][C]0.998289776056196[/C][/ROW]
[ROW][C]212[/C][C]0.00128488217921929[/C][C]0.00256976435843857[/C][C]0.998715117820781[/C][/ROW]
[ROW][C]213[/C][C]0.00540911745663969[/C][C]0.0108182349132794[/C][C]0.99459088254336[/C][/ROW]
[ROW][C]214[/C][C]0.00559434433161924[/C][C]0.0111886886632385[/C][C]0.994405655668381[/C][/ROW]
[ROW][C]215[/C][C]0.00434328839414951[/C][C]0.00868657678829901[/C][C]0.99565671160585[/C][/ROW]
[ROW][C]216[/C][C]0.00340179228857207[/C][C]0.00680358457714414[/C][C]0.996598207711428[/C][/ROW]
[ROW][C]217[/C][C]0.00271195438975365[/C][C]0.0054239087795073[/C][C]0.997288045610246[/C][/ROW]
[ROW][C]218[/C][C]0.00195246456200442[/C][C]0.00390492912400884[/C][C]0.998047535437996[/C][/ROW]
[ROW][C]219[/C][C]0.00377527966041941[/C][C]0.00755055932083881[/C][C]0.996224720339581[/C][/ROW]
[ROW][C]220[/C][C]0.0137897063848444[/C][C]0.0275794127696889[/C][C]0.986210293615156[/C][/ROW]
[ROW][C]221[/C][C]0.0105567445269287[/C][C]0.0211134890538573[/C][C]0.989443255473071[/C][/ROW]
[ROW][C]222[/C][C]0.242175574805174[/C][C]0.484351149610348[/C][C]0.757824425194826[/C][/ROW]
[ROW][C]223[/C][C]0.205037983893605[/C][C]0.41007596778721[/C][C]0.794962016106395[/C][/ROW]
[ROW][C]224[/C][C]0.297894371119775[/C][C]0.595788742239551[/C][C]0.702105628880225[/C][/ROW]
[ROW][C]225[/C][C]0.264399522264422[/C][C]0.528799044528844[/C][C]0.735600477735578[/C][/ROW]
[ROW][C]226[/C][C]0.234947407678959[/C][C]0.469894815357917[/C][C]0.765052592321042[/C][/ROW]
[ROW][C]227[/C][C]0.421333373113165[/C][C]0.84266674622633[/C][C]0.578666626886835[/C][/ROW]
[ROW][C]228[/C][C]0.402999052136004[/C][C]0.805998104272007[/C][C]0.597000947863996[/C][/ROW]
[ROW][C]229[/C][C]0.354630209614708[/C][C]0.709260419229415[/C][C]0.645369790385292[/C][/ROW]
[ROW][C]230[/C][C]0.37042722247754[/C][C]0.74085444495508[/C][C]0.62957277752246[/C][/ROW]
[ROW][C]231[/C][C]0.323825553695922[/C][C]0.647651107391844[/C][C]0.676174446304078[/C][/ROW]
[ROW][C]232[/C][C]0.306513372742751[/C][C]0.613026745485501[/C][C]0.693486627257249[/C][/ROW]
[ROW][C]233[/C][C]0.43015629853044[/C][C]0.860312597060879[/C][C]0.56984370146956[/C][/ROW]
[ROW][C]234[/C][C]0.575697649779464[/C][C]0.848604700441072[/C][C]0.424302350220536[/C][/ROW]
[ROW][C]235[/C][C]0.549757396281191[/C][C]0.900485207437618[/C][C]0.450242603718809[/C][/ROW]
[ROW][C]236[/C][C]0.513539770522239[/C][C]0.972920458955522[/C][C]0.486460229477761[/C][/ROW]
[ROW][C]237[/C][C]0.466431409736645[/C][C]0.932862819473289[/C][C]0.533568590263355[/C][/ROW]
[ROW][C]238[/C][C]0.462790032855223[/C][C]0.925580065710446[/C][C]0.537209967144777[/C][/ROW]
[ROW][C]239[/C][C]0.410723889546304[/C][C]0.821447779092608[/C][C]0.589276110453696[/C][/ROW]
[ROW][C]240[/C][C]0.350640122452838[/C][C]0.701280244905675[/C][C]0.649359877547163[/C][/ROW]
[ROW][C]241[/C][C]0.29738093547428[/C][C]0.59476187094856[/C][C]0.70261906452572[/C][/ROW]
[ROW][C]242[/C][C]0.243573843756128[/C][C]0.487147687512255[/C][C]0.756426156243872[/C][/ROW]
[ROW][C]243[/C][C]0.202151293297423[/C][C]0.404302586594846[/C][C]0.797848706702577[/C][/ROW]
[ROW][C]244[/C][C]0.170353734855744[/C][C]0.340707469711488[/C][C]0.829646265144256[/C][/ROW]
[ROW][C]245[/C][C]0.289770382160857[/C][C]0.579540764321714[/C][C]0.710229617839143[/C][/ROW]
[ROW][C]246[/C][C]0.271421415790614[/C][C]0.542842831581229[/C][C]0.728578584209386[/C][/ROW]
[ROW][C]247[/C][C]0.239582430974756[/C][C]0.479164861949512[/C][C]0.760417569025244[/C][/ROW]
[ROW][C]248[/C][C]0.18891194434787[/C][C]0.377823888695739[/C][C]0.81108805565213[/C][/ROW]
[ROW][C]249[/C][C]0.280949889185137[/C][C]0.561899778370275[/C][C]0.719050110814863[/C][/ROW]
[ROW][C]250[/C][C]0.250153545909257[/C][C]0.500307091818514[/C][C]0.749846454090743[/C][/ROW]
[ROW][C]251[/C][C]0.404899360779386[/C][C]0.809798721558771[/C][C]0.595100639220614[/C][/ROW]
[ROW][C]252[/C][C]0.313317894938597[/C][C]0.626635789877194[/C][C]0.686682105061403[/C][/ROW]
[ROW][C]253[/C][C]0.379516899204383[/C][C]0.759033798408767[/C][C]0.620483100795617[/C][/ROW]
[ROW][C]254[/C][C]0.324590337432245[/C][C]0.649180674864491[/C][C]0.675409662567755[/C][/ROW]
[ROW][C]255[/C][C]0.323935947071542[/C][C]0.647871894143083[/C][C]0.676064052928458[/C][/ROW]
[ROW][C]256[/C][C]0.213612746747755[/C][C]0.42722549349551[/C][C]0.786387253252245[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205518&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205518&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
130.6891228088156330.6217543823687350.310877191184367
140.5935689816208880.8128620367582240.406431018379112
150.4575505676029480.9151011352058960.542449432397052
160.3659428468769310.7318856937538620.634057153123069
170.2630797388889740.5261594777779470.736920261111026
180.1989516546724960.3979033093449920.801048345327504
190.1434824217995190.2869648435990380.856517578200481
200.09888001535710380.1977600307142080.901119984642896
210.0897917719865240.1795835439730480.910208228013476
220.1321921252203210.2643842504406410.867807874779679
230.08960552483542610.1792110496708520.910394475164574
240.06011072246874370.1202214449374870.939889277531256
250.03928804552205150.0785760910441030.960711954477949
260.02542803566723370.05085607133446740.974571964332766
270.01899206002277230.03798412004554460.981007939977228
280.01162387851954780.02324775703909560.988376121480452
290.008638320621151670.01727664124230330.991361679378848
300.006281875001783260.01256375000356650.993718124998217
310.01141275722073830.02282551444147660.988587242779262
320.007101729053604370.01420345810720870.992898270946396
330.005891859879264470.01178371975852890.994108140120736
340.004355364701387450.008710729402774890.995644635298613
350.003575025523212060.007150051046424120.996424974476788
360.003798633530797130.007597267061594260.996201366469203
370.00424632616093560.00849265232187120.995753673839064
380.003608660805466690.007217321610933370.996391339194533
390.003259480945621040.006518961891242080.996740519054379
400.003533258415760110.007066516831520210.99646674158424
410.002214092402467810.004428184804935620.997785907597532
420.005042818230910150.01008563646182030.99495718176909
430.00437043884975140.00874087769950280.995629561150249
440.003422535317400420.006845070634800840.9965774646826
450.009603670052270510.0192073401045410.99039632994773
460.00685815539479390.01371631078958780.993141844605206
470.004646499085709730.009292998171419460.99535350091429
480.003235400504068080.006470801008136160.996764599495932
490.002135028923947550.00427005784789510.997864971076052
500.001424277037306220.002848554074612440.998575722962694
510.001053148601341460.002106297202682920.998946851398659
520.001236512760019880.002473025520039760.99876348723998
530.001312659333552820.002625318667105630.998687340666447
540.0009130519493820150.001826103898764030.999086948050618
550.000591529369695690.001183058739391380.999408470630304
560.002557058139094310.005114116278188630.997442941860906
570.001740794354394170.003481588708788330.998259205645606
580.001229071728172540.002458143456345090.998770928271827
590.001225527687700990.002451055375401980.998774472312299
600.001030996967628780.002061993935257560.998969003032371
610.0007169204232030690.001433840846406140.999283079576797
620.0005525988539080890.001105197707816180.999447401146092
630.0003600837894567910.0007201675789135820.999639916210543
640.0002338304468468610.0004676608936937210.999766169553153
650.0004634538113448390.0009269076226896770.999536546188655
660.0004145552459982260.0008291104919964510.999585444754002
670.0002718028837052180.0005436057674104360.999728197116295
680.0001783044846867740.0003566089693735490.999821695515313
690.0001151291279861010.0002302582559722030.999884870872014
700.0004397640582698450.0008795281165396890.99956023594173
710.0003048282497656970.0006096564995313950.999695171750234
720.0002010594409099160.0004021188818198320.99979894055909
730.0001355454191049990.0002710908382099970.999864454580895
748.76976904089275e-050.0001753953808178550.999912302309591
755.60634733000085e-050.0001121269466000170.9999439365267
764.46651532474092e-058.93303064948185e-050.999955334846753
772.82076604480028e-055.64153208960057e-050.999971792339552
782.20275924650387e-054.40551849300773e-050.999977972407535
791.37996346250594e-052.75992692501189e-050.999986200365375
809.22036509628373e-061.84407301925675e-050.999990779634904
815.87487638568151e-061.1749752771363e-050.999994125123614
827.48636025740398e-061.4972720514808e-050.999992513639743
836.39563198907036e-061.27912639781407e-050.999993604368011
844.38479639864426e-068.76959279728852e-060.999995615203601
852.72736147934433e-065.45472295868866e-060.999997272638521
863.03643004486138e-066.07286008972277e-060.999996963569955
879.76529730444472e-061.95305946088894e-050.999990234702696
882.12314081250611e-054.24628162501222e-050.999978768591875
891.37705408967208e-052.75410817934416e-050.999986229459103
901.3455792824153e-052.69115856483059e-050.999986544207176
911.02212279172219e-052.04424558344438e-050.999989778772083
926.89210066786191e-061.37842013357238e-050.999993107899332
935.98440608992747e-061.19688121798549e-050.99999401559391
949.86761513729799e-061.9735230274596e-050.999990132384863
957.83915158049603e-061.56783031609921e-050.999992160848419
968.14894500297218e-061.62978900059444e-050.999991851054997
971.16147504964514e-052.32295009929029e-050.999988385249504
981.10439760975859e-052.20879521951718e-050.999988956023902
997.92968885578966e-061.58593777115793e-050.999992070311144
1005.26665014979676e-061.05333002995935e-050.99999473334985
1013.51614259632775e-067.0322851926555e-060.999996483857404
1025.65705647946256e-061.13141129589251e-050.999994342943521
1034.18716658965138e-068.37433317930276e-060.99999581283341
1047.56786563384315e-061.51357312676863e-050.999992432134366
1050.001281566363643560.002563132727287130.998718433636356
1060.001495546167519170.002991092335038340.998504453832481
1070.001192443023182830.002384886046365660.998807556976817
1080.0009599776516878880.001919955303375780.999040022348312
1090.0008905118061218920.001781023612243780.999109488193878
1100.008761655198550310.01752331039710060.99123834480145
1110.03545090308427890.07090180616855770.964549096915721
1120.0863769901369060.1727539802738120.913623009863094
1130.09100793311650620.1820158662330120.908992066883494
1140.163950789275480.3279015785509610.83604921072452
1150.158447546663650.3168950933272990.84155245333635
1160.1545273368734290.3090546737468580.845472663126571
1170.1406871166744740.2813742333489490.859312883325526
1180.1213845749025190.2427691498050390.878615425097481
1190.1083492676515140.2166985353030290.891650732348486
1200.09436756853862170.1887351370772430.905632431461378
1210.1181147313056260.2362294626112510.881885268694374
1220.1084604951919640.2169209903839270.891539504808036
1230.09338966027287880.1867793205457580.906610339727121
1240.09053493371232170.1810698674246430.909465066287678
1250.1090634639884380.2181269279768760.890936536011562
1260.108453991616470.216907983232940.89154600838353
1270.1060548170333190.2121096340666390.893945182966681
1280.09789477879670070.1957895575934010.902105221203299
1290.08329591230851680.1665918246170340.916704087691483
1300.09466092420064810.1893218484012960.905339075799352
1310.1113804065717710.2227608131435420.888619593428229
1320.1105765300033760.2211530600067520.889423469996624
1330.09742356963839290.1948471392767860.902576430361607
1340.08294583729046150.1658916745809230.917054162709538
1350.07282045955593230.1456409191118650.927179540444068
1360.06295778237812220.1259155647562440.937042217621878
1370.05391572908136740.1078314581627350.946084270918633
1380.04868562479401610.09737124958803220.951314375205984
1390.04127966810975290.08255933621950580.958720331890247
1400.03700453506477240.07400907012954480.962995464935228
1410.03203199307125770.06406398614251550.967968006928742
1420.02663333549399140.05326667098798270.973366664506009
1430.0231729331103850.04634586622077010.976827066889615
1440.02063142881138740.04126285762277480.979368571188613
1450.01927452501007130.03854905002014250.980725474989929
1460.01578324844087410.03156649688174830.984216751559126
1470.01261487748618810.02522975497237630.987385122513812
1480.009988994164027950.01997798832805590.990011005835972
1490.008083468142402850.01616693628480570.991916531857597
1500.007094627649986160.01418925529997230.992905372350014
1510.005624326386275320.01124865277255060.994375673613725
1520.004496383132009810.008992766264019610.99550361686799
1530.006392074804778330.01278414960955670.993607925195222
1540.004989572781696570.009979145563393140.995010427218303
1550.005317080349303010.0106341606986060.994682919650697
1560.005283300529754350.01056660105950870.994716699470246
1570.004275743461804630.008551486923609270.995724256538195
1580.005995361388373340.01199072277674670.994004638611627
1590.005243603284512380.01048720656902480.994756396715488
1600.004359500082803350.00871900016560670.995640499917197
1610.005124197895177820.01024839579035560.994875802104822
1620.004140343103734230.008280686207468460.995859656896266
1630.003156047922933830.006312095845867650.996843952077066
1640.002385676299272440.004771352598544890.997614323700728
1650.001958481166287420.003916962332574840.998041518833713
1660.001741176594903520.003482353189807030.998258823405097
1670.002024003819459060.004048007638918120.997975996180541
1680.002054200143106990.004108400286213970.997945799856893
1690.001859080507260230.003718161014520460.99814091949274
1700.0105840984103870.02116819682077410.989415901589613
1710.008276041965338020.0165520839306760.991723958034662
1720.007250535300164330.01450107060032870.992749464699836
1730.01286610761177030.02573221522354070.98713389238823
1740.0139762039044430.0279524078088860.986023796095557
1750.01118933123992320.02237866247984650.988810668760077
1760.0117484568817090.02349691376341790.988251543118291
1770.01622767311400270.03245534622800540.983772326885997
1780.0230548579262840.04610971585256790.976945142073716
1790.01891547101422040.03783094202844070.98108452898578
1800.0173639428932530.03472788578650610.982636057106747
1810.01569846033302080.03139692066604150.984301539666979
1820.01235962864465340.02471925728930670.987640371355347
1830.01128553330566870.02257106661133730.988714466694331
1840.008763921876608760.01752784375321750.991236078123391
1850.008330100825279850.01666020165055970.99166989917472
1860.006390839361151860.01278167872230370.993609160638848
1870.004971376908258140.009942753816516280.995028623091742
1880.008876817683260170.01775363536652030.99112318231674
1890.006963616000410540.01392723200082110.993036383999589
1900.008180597522085890.01636119504417180.991819402477914
1910.006420981237048920.01284196247409780.993579018762951
1920.006834062625908370.01366812525181670.993165937374092
1930.005241069018882270.01048213803776450.994758930981118
1940.004352600479063570.008705200958127140.995647399520936
1950.004536845198563170.009073690397126340.995463154801437
1960.004476910660762020.008953821321524040.995523089339238
1970.007247204309235520.0144944086184710.992752795690764
1980.00559481226236670.01118962452473340.994405187737633
1990.004208258505023340.008416517010046670.995791741494977
2000.004484705084372980.008969410168745950.995515294915627
2010.003368415059985150.006736830119970310.996631584940015
2020.002624648222293690.005249296444587370.997375351777706
2030.002407498739766880.004814997479533760.997592501260233
2040.001749039874823770.003498079749647540.998250960125176
2050.001383143843499320.002766287686998630.998616856156501
2060.001512279898946240.003024559797892480.998487720101054
2070.001180273925612890.002360547851225770.998819726074387
2080.001337671479777680.002675342959555360.998662328520222
2090.001841577443729890.003683154887459780.99815842255627
2100.002348792362559260.004697584725118510.997651207637441
2110.001710223943804310.003420447887608620.998289776056196
2120.001284882179219290.002569764358438570.998715117820781
2130.005409117456639690.01081823491327940.99459088254336
2140.005594344331619240.01118868866323850.994405655668381
2150.004343288394149510.008686576788299010.99565671160585
2160.003401792288572070.006803584577144140.996598207711428
2170.002711954389753650.00542390877950730.997288045610246
2180.001952464562004420.003904929124008840.998047535437996
2190.003775279660419410.007550559320838810.996224720339581
2200.01378970638484440.02757941276968890.986210293615156
2210.01055674452692870.02111348905385730.989443255473071
2220.2421755748051740.4843511496103480.757824425194826
2230.2050379838936050.410075967787210.794962016106395
2240.2978943711197750.5957887422395510.702105628880225
2250.2643995222644220.5287990445288440.735600477735578
2260.2349474076789590.4698948153579170.765052592321042
2270.4213333731131650.842666746226330.578666626886835
2280.4029990521360040.8059981042720070.597000947863996
2290.3546302096147080.7092604192294150.645369790385292
2300.370427222477540.740854444955080.62957277752246
2310.3238255536959220.6476511073918440.676174446304078
2320.3065133727427510.6130267454855010.693486627257249
2330.430156298530440.8603125970608790.56984370146956
2340.5756976497794640.8486047004410720.424302350220536
2350.5497573962811910.9004852074376180.450242603718809
2360.5135397705222390.9729204589555220.486460229477761
2370.4664314097366450.9328628194732890.533568590263355
2380.4627900328552230.9255800657104460.537209967144777
2390.4107238895463040.8214477790926080.589276110453696
2400.3506401224528380.7012802449056750.649359877547163
2410.297380935474280.594761870948560.70261906452572
2420.2435738437561280.4871476875122550.756426156243872
2430.2021512932974230.4043025865948460.797848706702577
2440.1703537348557440.3407074697114880.829646265144256
2450.2897703821608570.5795407643217140.710229617839143
2460.2714214157906140.5428428315812290.728578584209386
2470.2395824309747560.4791648619495120.760417569025244
2480.188911944347870.3778238886957390.81108805565213
2490.2809498891851370.5618997783702750.719050110814863
2500.2501535459092570.5003070918185140.749846454090743
2510.4048993607793860.8097987215587710.595100639220614
2520.3133178949385970.6266357898771940.686682105061403
2530.3795168992043830.7590337984087670.620483100795617
2540.3245903374322450.6491806748644910.675409662567755
2550.3239359470715420.6478718941430830.676064052928458
2560.2136127467477550.427225493495510.786387253252245






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1080.442622950819672NOK
5% type I error level1630.668032786885246NOK
10% type I error level1710.700819672131147NOK

\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 & 108 & 0.442622950819672 & NOK \tabularnewline
5% type I error level & 163 & 0.668032786885246 & NOK \tabularnewline
10% type I error level & 171 & 0.700819672131147 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205518&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]108[/C][C]0.442622950819672[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]163[/C][C]0.668032786885246[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]171[/C][C]0.700819672131147[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205518&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205518&T=6

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


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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1080.442622950819672NOK
5% type I error level1630.668032786885246NOK
10% type I error level1710.700819672131147NOK


Figures (Output of Computation)

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


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


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


Figure 4
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 5
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 6
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 7
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 8
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 9
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 10
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Input Parameters & R Code

Parameters (Session):
par1 = 2 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
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$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, mysum$coefficients[i,1], sep=' ')
if (rownames(mysum$coefficients)[i] != '(Intercept)') {
myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,mysum$coefficients[i,1])
a<-table.element(a, round(mysum$coefficients[i,2],6))
a<-table.element(a, round(mysum$coefficients[i,3],4))
a<-table.element(a, round(mysum$coefficients[i,4],6))
a<-table.element(a, round(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, sqrt(mysum$r.squared))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, mysum$r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, mysum$adj.r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, mysum$fstatistic[1])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[2])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[3])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, 1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
a<-table.element(a, mysum$sigma)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, sum(myerror*myerror))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,x[i])
a<-table.element(a,x[i]-mysum$resid[i])
a<-table.element(a,mysum$resid[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable4.tab')
if (n > n25) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-values',header=TRUE)
a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'breakpoint index',header=TRUE)
a<-table.element(a,'greater',header=TRUE)
a<-table.element(a,'2-sided',header=TRUE)
a<-table.element(a,'less',header=TRUE)
a<-table.row.end(a)
for (mypoint in kp3:nmkm3) {
a<-table.row.start(a)
a<-table.element(a,mypoint,header=TRUE)
a<-table.element(a,gqarr[mypoint-kp3+1,1])
a<-table.element(a,gqarr[mypoint-kp3+1,2])
a<-table.element(a,gqarr[mypoint-kp3+1,3])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable5.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,'# significant tests',header=TRUE)
a<-table.element(a,'% significant tests',header=TRUE)
a<-table.element(a,'OK/NOK',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'1% type I error level',header=TRUE)
a<-table.element(a,numsignificant1)
a<-table.element(a,numsignificant1/numgqtests)
if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'5% type I error level',header=TRUE)
a<-table.element(a,numsignificant5)
a<-table.element(a,numsignificant5/numgqtests)
if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'10% type I error level',header=TRUE)
a<-table.element(a,numsignificant10)
a<-table.element(a,numsignificant10/numgqtests)
if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable6.tab')
}