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Author

*The author of this computation has been verified*

R Software Module

rwasp_multipleregression.wasp

Title produced by software

Multiple Regression

Date of computation

Sat, 13 Dec 2014 08:49:21 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/13/t14184606515dxclprk38ghoit.htm/, Retrieved Thu, 16 May 2024 22:35:10 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=266907, Retrieved Thu, 16 May 2024 22:35:10 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

111

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

-       [Multiple Regression] [Multiple regression] [2014-12-13 08:49:21] [0e510e249d31411b3faa1a25774a526d] [Current]

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26	50	4	0	13	21	149	96	18	68	86	12,9
57	62	4	1	8	22	139	70	31	39	70	12,2
37	54	5	0	14	22	148	88	39	32	71	12,8
67	71	4	1	16	18	158	114	46	62	108	7,4
43	54	4	1	14	23	128	69	31	33	64	6,7
52	65	9	1	13	12	224	176	67	52	119	12,6
52	73	8	0	15	20	159	114	35	62	97	14,8
43	52	11	1	13	22	105	121	52	77	129	13,3
84	84	4	1	20	21	159	110	77	76	153	11,1
67	42	4	1	17	19	167	158	37	41	78	8,2
49	66	6	1	15	22	165	116	32	48	80	11,4
70	65	4	1	16	15	159	181	36	63	99	6,4
52	78	8	1	12	20	119	77	38	30	68	10,6
58	73	4	0	17	19	176	141	69	78	147	12
68	75	4	0	11	18	54	35	21	19	40	6,3
62	72	11	0	16	15	91	80	26	31	57	11,3
43	66	4	1	16	20	163	152	54	66	120	11,9
56	70	4	0	15	21	124	97	36	35	71	9,3
56	61	6	1	13	21	137	99	42	42	84	9,6
74	81	6	0	14	15	121	84	23	45	68	10
65	71	4	1	19	16	153	68	34	21	55	6,4
63	69	8	1	16	23	148	101	112	25	137	13,8
58	71	5	0	17	21	221	107	35	44	79	10,8
57	72	4	1	10	18	188	88	47	69	116	13,8
63	68	9	1	15	25	149	112	47	54	101	11,7
53	70	4	1	14	9	244	171	37	74	111	10,9
57	68	7	1	14	30	148	137	109	80	189	16,1
51	61	10	0	16	20	92	77	24	42	66	13,4
64	67	4	1	15	23	150	66	20	61	81	9,9
53	76	4	0	17	16	153	93	22	41	63	11,5
29	70	7	0	14	16	94	105	23	46	69	8,3
54	60	12	0	16	19	156	131	32	39	71	11,7
58	72	7	1	15	25	132	102	30	34	64	9
43	69	5	1	16	18	161	161	92	51	143	9,7
51	71	8	1	16	23	105	120	43	42	85	10,8
53	62	5	1	10	21	97	127	55	31	86	10,3
54	70	4	0	8	10	151	77	16	39	55	10,4
56	64	9	1	17	14	131	108	49	20	69	12,7
61	58	7	1	14	22	166	85	71	49	120	9,3
47	76	4	0	10	26	157	168	43	53	96	11,8
39	52	4	1	14	23	111	48	29	31	60	5,9
48	59	4	1	12	23	145	152	56	39	95	11,4
50	68	4	1	16	24	162	75	46	54	100	13
35	76	4	1	16	24	163	107	19	49	68	10,8
30	65	7	1	16	18	59	62	23	34	57	12,3
68	67	4	0	8	23	187	121	59	46	105	11,3
49	59	7	1	16	15	109	124	30	55	85	11,8
61	69	4	1	15	19	90	72	61	42	103	7,9
67	76	4	0	8	16	105	40	7	50	57	12,7
47	63	4	1	13	25	83	58	38	13	51	12,3
56	75	4	1	14	23	116	97	32	37	69	11,6
50	63	8	1	13	17	42	88	16	25	41	6,7
43	60	4	1	16	19	148	126	19	30	49	10,9
67	73	4	1	19	21	155	104	22	28	50	12,1
62	63	4	1	19	18	125	148	48	45	93	13,3
57	70	4	1	14	27	116	146	23	35	58	10,1
41	75	7	0	15	21	128	80	26	28	54	5,7
54	66	12	1	13	13	138	97	33	41	74	14,3
45	63	4	0	10	8	49	25	9	6	15	8
48	63	4	1	16	29	96	99	24	45	69	13,3
61	64	4	1	15	28	164	118	34	73	107	9,3
56	70	5	0	11	23	162	58	48	17	65	12,5
41	75	15	0	9	21	99	63	18	40	58	7,6
43	61	5	1	16	19	202	139	43	64	107	15,9
53	60	10	0	12	19	186	50	33	37	70	9,2
44	62	9	1	12	20	66	60	28	25	53	9,1
66	73	8	0	14	18	183	152	71	65	136	11,1
58	61	4	1	14	19	214	142	26	100	126	13
46	66	5	1	13	17	188	94	67	28	95	14,5
37	64	4	0	15	19	104	66	34	35	69	12,2
51	59	9	0	17	25	177	127	80	56	136	12,3
51	64	4	0	14	19	126	67	29	29	58	11,4
56	60	10	0	11	22	76	90	16	43	59	8,8
66	56	4	1	9	23	99	75	59	59	118	14,6
37	78	4	0	7	14	139	128	32	50	82	12,6
42	67	7	0	15	16	162	146	43	59	102	13
38	59	5	1	12	24	108	69	38	27	65	12,6
66	66	4	0	15	20	159	186	29	61	90	13,2
34	68	4	0	14	12	74	81	36	28	64	9,9
53	71	4	1	16	24	110	85	32	51	83	7,7
49	66	4	0	14	22	96	54	35	35	70	10,5
55	73	4	0	13	12	116	46	21	29	50	13,4
49	72	4	0	16	22	87	106	29	48	77	10,9
59	71	6	1	13	20	97	34	12	25	37	4,3
40	59	10	0	16	10	127	60	37	44	81	10,3
58	64	7	1	16	23	106	95	37	64	101	11,8
60	66	4	1	16	17	80	57	47	32	79	11,2
63	78	4	0	10	22	74	62	51	20	71	11,4
56	68	7	0	12	24	91	36	32	28	60	8,6
54	73	4	0	12	18	133	56	21	34	55	13,2
52	62	8	1	12	21	74	54	13	31	44	12,6
34	65	11	1	12	20	114	64	14	26	40	5,6
69	68	6	1	19	20	140	76	-2	58	56	9,9
32	65	14	0	14	22	95	98	20	23	43	8,8
48	60	5	1	13	19	98	88	24	21	45	7,7
67	71	4	0	16	20	121	35	11	21	32	9
58	65	8	1	15	26	126	102	23	33	56	7,3
57	68	9	1	12	23	98	61	24	16	40	11,4
42	64	4	1	8	24	95	80	14	20	34	13,6
64	74	4	1	10	21	110	49	52	37	89	7,9
58	69	5	1	16	21	70	78	15	35	50	10,7
66	76	4	0	16	19	102	90	23	33	56	10,3
26	68	5	1	10	8	86	45	19	27	46	8,3
61	72	4	1	18	17	130	55	35	41	76	9,6
52	67	4	1	12	20	96	96	24	40	64	14,2
51	63	7	0	16	11	102	43	39	35	74	8,5
55	59	10	0	10	8	100	52	29	28	57	13,5
50	73	4	0	14	15	94	60	13	32	45	4,9
60	66	5	0	12	18	52	54	8	22	30	6,4
56	62	4	0	11	18	98	51	18	44	62	9,6
63	69	4	0	15	19	118	51	24	27	51	11,6
61	66	4	1	7	19	99	38	19	17	36	11,1
52	51	6	1	16	23	48	41	23	12	34	4,35
16	56	4	1	16	22	50	146	16	45	61	12,7
46	67	8	1	16	21	150	182	33	37	70	18,1
56	69	5	1	16	25	154	192	32	37	69	17,85
52	57	4	0	12	30	109	263	37	108	145	16,6
55	56	17	1	15	17	68	35	14	10	23	12,6
50	55	4	1	14	27	194	439	52	68	120	17,1
59	63	4	0	15	23	158	214	75	72	147	19,1
60	67	8	1	16	23	159	341	72	143	215	16,1
52	65	4	0	13	18	67	58	15	9	24	13,35
44	47	7	0	10	18	147	292	29	55	84	18,4
67	76	4	1	17	23	39	85	13	17	30	14,7
52	64	4	1	15	19	100	200	40	37	77	10,6
55	68	5	1	18	15	111	158	19	27	46	12,6
37	64	7	1	16	20	138	199	24	37	61	16,2
54	65	4	1	20	16	101	297	121	58	178	13,6
72	71	4	1	16	24	131	227	93	66	160	18,9
51	63	7	1	17	25	101	108	36	21	57	14,1
48	60	11	1	16	25	114	86	23	19	42	14,5
60	68	7	0	15	19	165	302	85	78	163	16,15
50	72	4	1	13	19	114	148	41	35	75	14,75
63	70	4	1	16	16	111	178	46	48	94	14,8
33	61	4	1	16	19	75	120	18	27	45	12,45
67	61	4	1	16	19	82	207	35	43	78	12,65
46	62	4	1	17	23	121	157	17	30	47	17,35
54	71	4	1	20	21	32	128	4	25	29	8,6
59	71	6	0	14	22	150	296	28	69	97	18,4
61	51	8	1	17	19	117	323	44	72	116	16,1
33	56	23	1	6	20	71	79	10	23	32	11,6
47	70	4	1	16	20	165	70	38	13	50	17,75
69	73	8	1	15	3	154	146	57	61	118	15,25
52	76	6	1	16	23	126	246	23	43	66	17,65
55	68	4	0	16	23	149	196	36	51	86	16,35
41	48	7	0	14	20	145	199	22	67	89	17,65
73	52	4	1	16	15	120	127	40	36	76	13,6
52	60	4	0	16	16	109	153	31	44	75	14,35
50	59	4	0	16	7	132	299	11	45	57	14,75
51	57	10	1	14	24	172	228	38	34	72	18,25
60	79	6	0	14	17	169	190	24	36	60	9,9
56	60	5	1	16	24	114	180	37	72	109	16
56	60	5	1	16	24	156	212	37	39	76	18,25
29	59	4	0	15	19	172	269	22	43	65	16,85
66	62	4	1	16	25	68	130	15	25	40	14,6
66	59	5	1	16	20	89	179	2	56	58	13,85
73	61	5	1	18	28	167	243	43	80	123	18,95
55	71	5	0	15	23	113	190	31	40	71	15,6
64	57	5	0	16	27	115	299	29	73	102	14,85
40	66	4	0	16	18	78	121	45	34	80	11,75
46	63	6	0	16	28	118	137	25	72	97	18,45
58	69	4	1	17	21	87	305	4	42	46	15,9
43	58	4	0	14	19	173	157	31	61	93	17,1
61	59	4	1	18	23	2	96	-4	23	19	16,1
51	48	9	0	9	27	162	183	66	74	140	19,9
50	66	18	1	15	22	49	52	61	16	78	10,95
52	73	6	0	14	28	122	238	32	66	98	18,45
54	67	5	1	15	25	96	40	31	9	40	15,1
66	61	4	0	13	21	100	226	39	41	80	15
61	68	11	0	16	22	82	190	19	57	76	11,35
80	75	4	1	20	28	100	214	31	48	79	15,95
51	62	10	0	14	20	115	145	36	51	87	18,1
56	69	6	1	12	29	141	119	42	53	95	14,6
56	58	8	1	15	25	165	222	21	29	49	15,4
56	60	8	1	15	25	165	222	21	29	49	15,4
53	74	6	1	15	20	110	159	25	55	80	17,6
47	55	8	1	16	20	118	165	32	54	86	13,35
25	62	4	0	11	16	158	249	26	43	69	19,1
47	63	4	1	16	20	146	125	28	51	79	15,35
46	69	9	0	7	20	49	122	32	20	52	7,6
50	58	9	0	11	23	90	186	41	79	120	13,4
39	58	5	0	9	18	121	148	29	39	69	13,9
51	68	4	1	15	25	155	274	33	61	94	19,1
58	72	4	0	16	18	104	172	17	55	72	15,25
35	62	15	1	14	19	147	84	13	30	43	12,9
58	62	10	0	15	25	110	168	32	55	87	16,1
60	65	9	0	13	25	108	102	30	22	52	17,35
62	69	7	0	13	25	113	106	34	37	71	13,15
63	66	9	0	12	24	115	2	59	2	61	12,15
53	72	6	1	16	19	61	139	13	38	51	12,6
46	62	4	1	14	26	60	95	23	27	50	10,35
67	75	7	1	16	10	109	130	10	56	67	15,4
59	58	4	1	14	17	68	72	5	25	30	9,6
64	66	7	0	15	13	111	141	31	39	70	18,2
38	55	4	0	10	17	77	113	19	33	52	13,6
50	47	15	1	16	30	73	206	32	43	75	14,85
48	72	4	0	14	25	151	268	30	57	87	14,75
48	62	9	0	16	4	89	175	25	43	69	14,1
47	64	4	0	12	16	78	77	48	23	72	14,9
66	64	4	0	16	21	110	125	35	44	79	16,25
47	19	28	1	16	23	220	255	67	54	121	19,25
63	50	4	1	15	22	65	111	15	28	43	13,6
58	68	4	0	14	17	141	132	22	36	58	13,6
44	70	4	0	16	20	117	211	18	39	57	15,65
51	79	5	1	11	20	122	92	33	16	50	12,75
43	69	4	0	15	22	63	76	46	23	69	14,6
55	71	4	1	18	16	44	171	24	40	64	9,85
38	48	12	1	13	23	52	83	14	24	38	12,65
45	73	4	0	7	0	131	266	12	78	90	19,2
50	74	6	1	7	18	101	186	38	57	96	16,6
54	66	6	1	17	25	42	50	12	37	49	11,2
57	71	5	1	18	23	152	117	28	27	56	15,25
60	74	4	0	15	12	107	219	41	61	102	11,9
55	78	4	0	8	18	77	246	12	27	40	13,2
56	75	4	0	13	24	154	279	31	69	100	16,35
49	53	10	1	13	11	103	148	33	34	67	12,4
37	60	7	1	15	18	96	137	34	44	78	15,85
59	70	4	1	18	23	175	181	21	34	55	18,15
46	69	7	1	16	24	57	98	20	39	59	11,15
51	65	4	0	14	29	112	226	44	51	96	15,65
58	78	4	0	15	18	143	234	52	34	86	17,75
64	78	12	0	19	15	49	138	7	31	38	7,65
53	59	5	1	16	29	110	85	29	13	43	12,35
48	72	8	1	12	16	131	66	11	12	23	15,6
51	70	6	0	16	19	167	236	26	51	77	19,3
47	63	17	0	11	22	56	106	24	24	48	15,2
59	63	4	0	16	16	137	135	7	19	26	17,1
62	71	5	1	15	23	86	122	60	30	91	15,6
62	74	4	1	19	23	121	218	13	81	94	18,4
51	67	5	0	15	19	149	199	20	42	62	19,05
64	66	5	0	14	4	168	112	52	22	74	18,55
52	62	6	0	14	20	140	278	28	85	114	19,1
67	80	4	1	17	24	88	94	25	27	52	13,1
50	73	4	1	16	20	168	113	39	25	64	12,85
54	67	4	1	20	4	94	84	9	22	31	9,5
58	61	6	1	16	24	51	86	19	19	38	4,5
56	73	8	0	9	22	48	62	13	14	27	11,85
63	74	10	1	13	16	145	222	60	45	105	13,6
31	32	4	1	15	3	66	167	19	45	64	11,7
65	69	5	1	19	15	85	82	34	28	62	12,4
71	69	4	0	16	24	109	207	14	51	65	13,35
50	84	4	0	17	17	63	184	17	41	58	11,4
57	64	4	1	16	20	102	83	45	31	76	14,9
47	58	16	0	9	27	162	183	66	74	140	19,9
47	59	7	1	11	26	86	89	48	19	68	11,2
57	78	4	1	14	23	114	225	29	51	80	14,6
43	57	4	0	19	17	164	237	-2	73	71	17,6
41	60	14	1	13	20	119	102	51	24	76	14,05
63	68	5	0	14	22	126	221	2	61	63	16,1
63	68	5	1	15	19	132	128	24	23	46	13,35
56	73	5	1	15	24	142	91	40	14	53	11,85
51	69	5	0	14	19	83	198	20	54	74	11,95
50	67	7	1	16	23	94	204	19	51	70	14,75
22	60	19	0	17	15	81	158	16	62	78	15,15
41	65	16	1	12	27	166	138	20	36	56	13,2
59	66	4	0	15	26	110	226	40	59	100	16,85
56	74	4	1	17	22	64	44	27	24	51	7,85
66	81	7	0	15	22	93	196	25	26	52	7,7
53	72	9	0	10	18	104	83	49	54	102	12,6
42	55	5	1	16	15	105	79	39	39	78	7,85
52	49	14	1	15	22	49	52	61	16	78	10,95
54	74	4	0	11	27	88	105	19	36	55	12,35
44	53	16	1	16	10	95	116	67	31	98	9,95
62	64	10	1	16	20	102	83	45	31	76	14,9
53	65	5	0	16	17	99	196	30	42	73	16,65
50	57	6	1	14	23	63	153	8	39	47	13,4
36	51	4	0	14	19	76	157	19	25	45	13,95
76	80	4	0	16	13	109	75	52	31	83	15,7
66	67	4	1	16	27	117	106	22	38	60	16,85
62	70	5	1	18	23	57	58	17	31	48	10,95
59	74	4	0	14	16	120	75	33	17	50	15,35
47	75	4	1	20	25	73	74	34	22	56	12,2
55	70	5	0	15	2	91	185	22	55	77	15,1
58	69	4	0	16	26	108	265	30	62	91	17,75
60	65	4	1	16	20	105	131	25	51	76	15,2
44	55	5	0	16	23	117	139	38	30	68	14,6
57	71	8	0	12	22	119	196	26	49	74	16,65
45	65	15	1	8	24	31	78	13	16	29	8,1

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	10 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 & 10 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266907&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]10 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=266907&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266907&T=0

As an alternative you can also use a QR Code:

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	10 seconds
R Server	'Herman Ole Andreas Wold' @ wold.wessa.net

Multiple Linear Regression - Estimated Regression Equation
TOT[t] = + 8.94828 + 0.0059832AMS.i[t] -0.0270966AMS.E[t] + 0.0264478AMS.A[t] -0.606409gender[t] -0.00852728CONFSTAT[t] + 0.0583774NUMERACY[t] + 0.0117819LFM[t] + 0.0268076B[t] -0.363407PRH[t] -0.375224CH[t] + 0.365469H[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
TOT[t] =  +  8.94828 +  0.0059832AMS.i[t] -0.0270966AMS.E[t] +  0.0264478AMS.A[t] -0.606409gender[t] -0.00852728CONFSTAT[t] +  0.0583774NUMERACY[t] +  0.0117819LFM[t] +  0.0268076B[t] -0.363407PRH[t] -0.375224CH[t] +  0.365469H[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266907&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]TOT[t] =  +  8.94828 +  0.0059832AMS.i[t] -0.0270966AMS.E[t] +  0.0264478AMS.A[t] -0.606409gender[t] -0.00852728CONFSTAT[t] +  0.0583774NUMERACY[t] +  0.0117819LFM[t] +  0.0268076B[t] -0.363407PRH[t] -0.375224CH[t] +  0.365469H[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266907&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266907&T=1

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Estimated Regression Equation
TOT[t] = + 8.94828 + 0.0059832AMS.i[t] -0.0270966AMS.E[t] + 0.0264478AMS.A[t] -0.606409gender[t] -0.00852728CONFSTAT[t] + 0.0583774NUMERACY[t] + 0.0117819LFM[t] + 0.0268076B[t] -0.363407PRH[t] -0.375224CH[t] + 0.365469H[t] + e[t]

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	8.94828	2.00687	4.459	1.21639e-05	6.08196e-06
AMS.i	0.0059832	0.0178535	0.3351	0.737794	0.368897
AMS.E	-0.0270966	0.0228612	-1.185	0.236971	0.118485
AMS.A	0.0264478	0.0513213	0.5153	0.606746	0.303373
gender	-0.606409	0.35877	-1.69	0.0921529	0.0460764
CONFSTAT	-0.00852728	0.0648401	-0.1315	0.895469	0.447735
NUMERACY	0.0583774	0.0328136	1.779	0.0763716	0.0381858
LFM	0.0117819	0.00487006	2.419	0.0162237	0.00811187
B	0.0268076	0.0029891	8.968	5.50606e-17	2.75303e-17
PRH	-0.363407	0.451341	-0.8052	0.421439	0.21072
CH	-0.375224	0.450342	-0.8332	0.40548	0.20274
H	0.365469	0.450249	0.8117	0.417687	0.208844

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Ordinary Least Squares \tabularnewline
Variable & Parameter & S.D. & T-STATH0: parameter = 0 & 2-tail p-value & 1-tail p-value \tabularnewline
(Intercept) & 8.94828 & 2.00687 & 4.459 & 1.21639e-05 & 6.08196e-06 \tabularnewline
AMS.i & 0.0059832 & 0.0178535 & 0.3351 & 0.737794 & 0.368897 \tabularnewline
AMS.E & -0.0270966 & 0.0228612 & -1.185 & 0.236971 & 0.118485 \tabularnewline
AMS.A & 0.0264478 & 0.0513213 & 0.5153 & 0.606746 & 0.303373 \tabularnewline
gender & -0.606409 & 0.35877 & -1.69 & 0.0921529 & 0.0460764 \tabularnewline
CONFSTAT & -0.00852728 & 0.0648401 & -0.1315 & 0.895469 & 0.447735 \tabularnewline
NUMERACY & 0.0583774 & 0.0328136 & 1.779 & 0.0763716 & 0.0381858 \tabularnewline
LFM & 0.0117819 & 0.00487006 & 2.419 & 0.0162237 & 0.00811187 \tabularnewline
B & 0.0268076 & 0.0029891 & 8.968 & 5.50606e-17 & 2.75303e-17 \tabularnewline
PRH & -0.363407 & 0.451341 & -0.8052 & 0.421439 & 0.21072 \tabularnewline
CH & -0.375224 & 0.450342 & -0.8332 & 0.40548 & 0.20274 \tabularnewline
H & 0.365469 & 0.450249 & 0.8117 & 0.417687 & 0.208844 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266907&T=2

[TABLE]
[ROW][C]Multiple Linear Regression - Ordinary Least Squares[/C][/ROW]
[ROW][C]Variable[/C][C]Parameter[/C][C]S.D.[/C][C]T-STATH0: parameter = 0[/C][C]2-tail p-value[/C][C]1-tail p-value[/C][/ROW]
[ROW][C](Intercept)[/C][C]8.94828[/C][C]2.00687[/C][C]4.459[/C][C]1.21639e-05[/C][C]6.08196e-06[/C][/ROW]
[ROW][C]AMS.i[/C][C]0.0059832[/C][C]0.0178535[/C][C]0.3351[/C][C]0.737794[/C][C]0.368897[/C][/ROW]
[ROW][C]AMS.E[/C][C]-0.0270966[/C][C]0.0228612[/C][C]-1.185[/C][C]0.236971[/C][C]0.118485[/C][/ROW]
[ROW][C]AMS.A[/C][C]0.0264478[/C][C]0.0513213[/C][C]0.5153[/C][C]0.606746[/C][C]0.303373[/C][/ROW]
[ROW][C]gender[/C][C]-0.606409[/C][C]0.35877[/C][C]-1.69[/C][C]0.0921529[/C][C]0.0460764[/C][/ROW]
[ROW][C]CONFSTAT[/C][C]-0.00852728[/C][C]0.0648401[/C][C]-0.1315[/C][C]0.895469[/C][C]0.447735[/C][/ROW]
[ROW][C]NUMERACY[/C][C]0.0583774[/C][C]0.0328136[/C][C]1.779[/C][C]0.0763716[/C][C]0.0381858[/C][/ROW]
[ROW][C]LFM[/C][C]0.0117819[/C][C]0.00487006[/C][C]2.419[/C][C]0.0162237[/C][C]0.00811187[/C][/ROW]
[ROW][C]B[/C][C]0.0268076[/C][C]0.0029891[/C][C]8.968[/C][C]5.50606e-17[/C][C]2.75303e-17[/C][/ROW]
[ROW][C]PRH[/C][C]-0.363407[/C][C]0.451341[/C][C]-0.8052[/C][C]0.421439[/C][C]0.21072[/C][/ROW]
[ROW][C]CH[/C][C]-0.375224[/C][C]0.450342[/C][C]-0.8332[/C][C]0.40548[/C][C]0.20274[/C][/ROW]
[ROW][C]H[/C][C]0.365469[/C][C]0.450249[/C][C]0.8117[/C][C]0.417687[/C][C]0.208844[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266907&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266907&T=2

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	8.94828	2.00687	4.459	1.21639e-05	6.08196e-06
AMS.i	0.0059832	0.0178535	0.3351	0.737794	0.368897
AMS.E	-0.0270966	0.0228612	-1.185	0.236971	0.118485
AMS.A	0.0264478	0.0513213	0.5153	0.606746	0.303373
gender	-0.606409	0.35877	-1.69	0.0921529	0.0460764
CONFSTAT	-0.00852728	0.0648401	-0.1315	0.895469	0.447735
NUMERACY	0.0583774	0.0328136	1.779	0.0763716	0.0381858
LFM	0.0117819	0.00487006	2.419	0.0162237	0.00811187
B	0.0268076	0.0029891	8.968	5.50606e-17	2.75303e-17
PRH	-0.363407	0.451341	-0.8052	0.421439	0.21072
CH	-0.375224	0.450342	-0.8332	0.40548	0.20274
H	0.365469	0.450249	0.8117	0.417687	0.208844

Multiple Linear Regression - Regression Statistics
Multiple R	0.622312
R-squared	0.387272
Adjusted R-squared	0.361933
F-TEST (value)	15.284
F-TEST (DF numerator)	11
F-TEST (DF denominator)	266
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	2.71138
Sum Squared Residuals	1955.52

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.622312 \tabularnewline
R-squared & 0.387272 \tabularnewline
Adjusted R-squared & 0.361933 \tabularnewline
F-TEST (value) & 15.284 \tabularnewline
F-TEST (DF numerator) & 11 \tabularnewline
F-TEST (DF denominator) & 266 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.71138 \tabularnewline
Sum Squared Residuals & 1955.52 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266907&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.622312[/C][/ROW]
[ROW][C]R-squared[/C][C]0.387272[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.361933[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]15.284[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]11[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]266[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.71138[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1955.52[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266907&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266907&T=3

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Regression Statistics
Multiple R	0.622312
R-squared	0.387272
Adjusted R-squared	0.361933
F-TEST (value)	15.284
F-TEST (DF numerator)	11
F-TEST (DF denominator)	266
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	2.71138
Sum Squared Residuals	1955.52

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	12.9	12.6727	0.227326
2	12.2	11.5225	0.677518
3	12.8	12.8746	-0.0746353
4	7.4	12.2467	-4.84666
5	6.7	11.5648	-4.86483
6	12.6	14.7076	-2.10757
7	14.8	12.9293	1.87069
8	13.3	12.4914	0.808616
9	11.1	11.969	-0.869036
10	8.2	14.5542	-6.35419
11	11.4	12.8132	-1.41318
12	6.4	14.0296	-7.62958
13	10.6	11.0682	-0.46819
14	12	13.6221	-1.6221
15	6.3	9.81812	-3.51812
16	11.3	11.3664	-0.0663928
17	11.9	13.4104	-1.51038
18	9.3	12.3845	-3.08447
19	9.6	12.2427	-2.64275
20	10	11.3971	-1.39707
21	6.4	11.1755	-4.77552
22	13.8	12.7053	1.09471
23	10.8	13.6998	-2.8998
24	13.8	11.8011	1.99887
25	11.7	12.7739	-1.07388
26	10.9	14.0873	-3.18731
27	16.1	13.5181	2.58191
28	13.4	11.684	1.71599
29	9.9	11.2126	-1.31265
30	11.5	12.0421	-0.542052
31	8.3	11.7458	-3.44581
32	11.7	13.971	-2.27098
33	9	12.2744	-3.27437
34	9.7	13.6812	-3.98115
35	10.8	12.2739	-1.47393
36	10.3	12.6103	-2.31028
37	10.4	11.4918	-1.09175
38	12.7	12.1977	0.502331
39	9.3	12.3881	-3.08812
40	11.8	14.6335	-2.83355
41	5.9	10.8472	-4.94722
42	11.4	13.8946	-2.49465
43	13	11.6562	1.34382
44	10.8	12.2124	-1.41239
45	12.3	9.93253	2.36747
46	11.3	14.0398	-2.73976
47	11.8	12.0944	-0.294399
48	7.9	10.6308	-2.7308
49	12.7	10.0975	2.60249
50	12.3	10.8546	1.44536
51	11.6	11.6459	-0.0458501
52	6.7	10.6701	-3.97011
53	10.9	12.9199	-2.01988
54	12.1	12.3208	-0.220794
55	13.3	13.1006	0.199446
56	10.1	13.3354	-3.23535
57	5.7	11.8777	-6.17765
58	14.3	11.7363	2.56367
59	8	9.20551	-1.20551
60	13.3	11.9798	1.3202
61	9.3	13.0386	-3.73862
62	12.5	12.1643	0.33567
63	7.6	11.2094	-3.60944
64	15.9	13.6218	2.27824
65	9.2	12.1498	-2.94983
66	9.1	10.4283	-1.32831
67	11.1	14.2513	-3.15125
68	13	13.5377	-0.537685
69	14.5	12.4424	2.05758
70	12.2	11.2458	0.954181
71	12.3	14.3158	-2.01583
72	11.4	11.6723	-0.272343
73	8.8	12.0342	-3.23415
74	14.6	11.3141	3.28585
75	12.6	12.5668	0.0332149
76	13	13.711	-0.711045
77	12.6	11.3386	1.26137
78	13.2	15.0245	-1.82449
79	9.9	10.8404	-0.940435
80	7.7	11.2487	-3.54866
81	10.5	11.0332	-0.533199
82	13.4	10.355	3.04498
83	10.9	12.0023	-1.10234
84	4.3	9.82157	-5.52157
85	10.3	11.0525	-0.752541
86	11.8	11.5937	0.206346
87	11.2	10.1296	1.07042
88	11.4	10.9605	0.439514
89	8.6	10.7547	-2.1547
90	13.2	11.1274	2.07258
91	12.6	10.3521	2.24794
92	5.6	10.9742	-5.37422
93	9.9	11.1933	-1.29329
94	8.8	12.4769	-3.67695
95	7.7	11.4921	-3.79214
96	9	10.7439	-1.7439
97	7.3	12.4735	-5.1735
98	11.4	11.002	0.397981
99	13.6	11.3953	2.20473
100	7.9	10.3219	-2.42194
101	10.7	10.6462	0.053814
102	10.3	11.7023	-1.4023
103	8.3	9.16422	-0.864224
104	9.6	10.3789	-0.778874
105	14.2	11.3724	2.82759
106	8.5	10.3306	-1.83065
107	13.5	10.6837	2.81629
108	4.9	10.5621	-5.66206
109	6.4	10.4618	-4.06176
110	9.6	10.7958	-1.19584
111	11.6	11.0862	0.513844
112	11.1	10.1322	0.967823
113	4.35	9.86554	-5.51554
114	12.7	12.2709	0.429134
115	18.1	14.4561	3.64394
116	17.85	14.929	2.92099
117	16.6	16.827	-0.227044
118	12.6	9.77294	2.82706
119	17.1	22.2114	-5.1114
120	19.1	15.9654	3.13461
121	16.1	18.0714	-1.97139
122	13.35	10.8312	2.51878
123	18.4	18.1717	0.228328
124	14.7	10.586	4.11398
125	10.6	14.2671	-3.66711
126	12.6	13.002	-0.401966
127	16.2	14.6945	1.50553
128	13.6	16.243	-2.64299
129	18.9	15.7613	3.13866
130	14.1	12.3941	1.70591
131	14.5	12.1279	2.37214
132	16.15	18.0853	-1.93535
133	14.75	12.4825	2.26752
134	14.8	13.4316	1.36842
135	12.45	11.8392	0.61077
136	12.65	14.3364	-1.68636
137	17.35	13.6174	3.73258
138	8.6	11.475	-2.87504
139	18.4	17.788	0.612002
140	16.1	17.9264	-1.82639
141	11.6	11.1317	0.46831
142	17.75	11.2698	6.48017
143	15.25	12.2862	2.96376
144	17.65	15.6657	1.98427
145	16.35	14.9679	1.38214
146	17.65	15.5611	2.08889
147	13.6	12.7643	0.835685
148	14.35	13.5575	0.792517
149	14.75	17.5466	-2.79659
150	18.25	16.534	1.71605
151	9.9	14.9812	-5.08124
152	16	13.9904	2.00958
153	18.25	15.665	2.58498
154	16.85	17.4738	-0.623766
155	14.6	12.5588	2.04123
156	13.85	13.6064	0.243595
157	18.95	16.5291	2.42086
158	15.6	14.799	0.800984
159	14.85	18.0767	-3.22675
160	11.75	12.7087	-0.958661
161	18.45	13.5853	4.86468
162	15.9	16.8059	-0.905863
163	17.1	14.8109	2.28908
164	16.1	10.7676	5.33239
165	19.9	15.9189	3.98109
166	10.95	10.7916	0.158431
167	18.45	16.195	2.25503
168	15.1	10.4927	4.60726
169	15	15.8283	-0.828295
170	11.35	14.4522	-3.10217
171	15.95	14.8688	1.08122
172	18.1	13.7048	4.39519
173	14.6	12.9775	1.62251
174	15.4	15.9387	-0.538666
175	15.4	15.8845	-0.484473
176	17.6	12.9256	4.67441
177	13.35	13.7282	-0.378181
178	19.1	16.5347	2.56533
179	15.35	12.6842	2.66578
180	7.6	12.4184	-4.81844
181	13.4	14.5232	-1.12321
182	13.9	14.1543	-0.254254
183	19.1	16.8862	2.21379
184	15.25	13.6992	1.55076
185	12.9	11.9757	0.924271
186	16.1	14.5405	1.55955
187	17.35	12.9867	4.36334
188	13.15	12.8654	0.284591
189	12.15	10.5843	1.56573
190	12.6	11.9405	0.659489
191	10.35	11.479	-1.129
192	15.4	11.952	3.44801
193	9.6	10.5999	-0.999854
194	18.2	13.1301	5.06991
195	13.6	12.352	1.24802
196	14.85	15.408	-0.558044
197	14.75	17.1997	-2.44968
198	14.1	13.6281	0.471949
199	14.9	11.656	3.24395
200	16.25	13.0942	3.15584
201	19.25	19.0943	0.155663
202	13.6	12.1254	1.47458
203	13.6	13.3256	0.274411
204	15.65	15.1432	0.506769
205	12.75	11.8935	0.856514
206	14.6	11.2482	3.35181
207	9.85	12.3952	-2.54521
208	12.65	11.4502	1.19977
209	19.2	15.2237	3.97633
210	16.6	13.8496	2.75037
211	11.2	9.84877	1.35123
212	15.25	13.1676	2.08237
213	11.9	14.6015	-2.70153
214	13.2	15.8809	-2.68089
215	16.35	17.3316	-0.981632
216	12.4	12.9121	-0.512127
217	15.85	12.4901	3.35995
218	18.15	14.7187	3.43127
219	11.15	11.1567	-0.00669039
220	15.65	16.5083	-0.858262
221	17.75	15.9438	1.80623
222	7.65	12.2375	-4.58748
223	12.35	12.6221	-0.272128
224	15.6	10.9398	4.66025
225	19.3	16.3383	2.96165
226	15.2	12.4793	2.72073
227	17.1	13.5598	3.54017
228	15.6	12.6163	2.98373
229	18.4	14.5004	3.89956
230	19.05	15.2732	3.77681
231	18.55	12.6636	5.8864
232	19.1	17.4823	1.61774
233	13.1	11.2818	1.81822
234	12.85	12.645	0.204971
235	9.5	10.1815	-0.681531
236	4.5	11.2195	-6.71947
237	11.85	10.8423	1.00774
238	13.6	15.1457	-1.54571
239	11.7	12.6679	-0.967943
240	12.4	10.7036	1.69636
241	13.35	15.2386	-1.88859
242	11.4	13.2345	-1.83452
243	14.9	11.3028	3.59721
244	19.9	15.8091	4.09085
245	11.2	12.3117	-1.11173
246	14.6	14.8356	-0.235595
247	17.6	16.1666	1.43337
248	14.05	12.7613	1.28874
249	16.1	15.5979	0.502123
250	13.35	12.436	0.914026
251	11.85	11.7972	0.0527843
252	11.95	14.306	-2.35605
253	14.75	14.3349	0.415149
254	15.15	13.3054	1.84457
255	13.2	14.0682	-0.868226
256	16.85	16.2355	0.614479
257	7.85	9.67204	-1.82204
258	7.7	15.0033	-7.30326
259	12.6	11.1771	1.42289
260	7.85	11.0292	-3.17917
261	10.95	11.1584	-0.208386
262	12.35	12.394	-0.0440024
263	9.95	12.1042	-2.1542
264	14.9	11.4914	3.40861
265	16.65	14.9306	1.71937
266	13.4	12.9584	0.441619
267	13.95	14.1423	-0.192312
268	15.7	11.0631	4.63687
269	16.85	12.3616	4.48841
270	10.95	10.0965	0.85345
271	15.35	11.5432	3.80681
272	12.2	10.6848	1.51515
273	15.1	13.0421	2.05793
274	17.75	16.3808	1.36917
275	15.2	12.3794	2.82058
276	14.6	13.9501	0.649859
277	16.65	14.6255	2.02451
278	8.1	10.9063	-2.80635

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 12.9 & 12.6727 & 0.227326 \tabularnewline
2 & 12.2 & 11.5225 & 0.677518 \tabularnewline
3 & 12.8 & 12.8746 & -0.0746353 \tabularnewline
4 & 7.4 & 12.2467 & -4.84666 \tabularnewline
5 & 6.7 & 11.5648 & -4.86483 \tabularnewline
6 & 12.6 & 14.7076 & -2.10757 \tabularnewline
7 & 14.8 & 12.9293 & 1.87069 \tabularnewline
8 & 13.3 & 12.4914 & 0.808616 \tabularnewline
9 & 11.1 & 11.969 & -0.869036 \tabularnewline
10 & 8.2 & 14.5542 & -6.35419 \tabularnewline
11 & 11.4 & 12.8132 & -1.41318 \tabularnewline
12 & 6.4 & 14.0296 & -7.62958 \tabularnewline
13 & 10.6 & 11.0682 & -0.46819 \tabularnewline
14 & 12 & 13.6221 & -1.6221 \tabularnewline
15 & 6.3 & 9.81812 & -3.51812 \tabularnewline
16 & 11.3 & 11.3664 & -0.0663928 \tabularnewline
17 & 11.9 & 13.4104 & -1.51038 \tabularnewline
18 & 9.3 & 12.3845 & -3.08447 \tabularnewline
19 & 9.6 & 12.2427 & -2.64275 \tabularnewline
20 & 10 & 11.3971 & -1.39707 \tabularnewline
21 & 6.4 & 11.1755 & -4.77552 \tabularnewline
22 & 13.8 & 12.7053 & 1.09471 \tabularnewline
23 & 10.8 & 13.6998 & -2.8998 \tabularnewline
24 & 13.8 & 11.8011 & 1.99887 \tabularnewline
25 & 11.7 & 12.7739 & -1.07388 \tabularnewline
26 & 10.9 & 14.0873 & -3.18731 \tabularnewline
27 & 16.1 & 13.5181 & 2.58191 \tabularnewline
28 & 13.4 & 11.684 & 1.71599 \tabularnewline
29 & 9.9 & 11.2126 & -1.31265 \tabularnewline
30 & 11.5 & 12.0421 & -0.542052 \tabularnewline
31 & 8.3 & 11.7458 & -3.44581 \tabularnewline
32 & 11.7 & 13.971 & -2.27098 \tabularnewline
33 & 9 & 12.2744 & -3.27437 \tabularnewline
34 & 9.7 & 13.6812 & -3.98115 \tabularnewline
35 & 10.8 & 12.2739 & -1.47393 \tabularnewline
36 & 10.3 & 12.6103 & -2.31028 \tabularnewline
37 & 10.4 & 11.4918 & -1.09175 \tabularnewline
38 & 12.7 & 12.1977 & 0.502331 \tabularnewline
39 & 9.3 & 12.3881 & -3.08812 \tabularnewline
40 & 11.8 & 14.6335 & -2.83355 \tabularnewline
41 & 5.9 & 10.8472 & -4.94722 \tabularnewline
42 & 11.4 & 13.8946 & -2.49465 \tabularnewline
43 & 13 & 11.6562 & 1.34382 \tabularnewline
44 & 10.8 & 12.2124 & -1.41239 \tabularnewline
45 & 12.3 & 9.93253 & 2.36747 \tabularnewline
46 & 11.3 & 14.0398 & -2.73976 \tabularnewline
47 & 11.8 & 12.0944 & -0.294399 \tabularnewline
48 & 7.9 & 10.6308 & -2.7308 \tabularnewline
49 & 12.7 & 10.0975 & 2.60249 \tabularnewline
50 & 12.3 & 10.8546 & 1.44536 \tabularnewline
51 & 11.6 & 11.6459 & -0.0458501 \tabularnewline
52 & 6.7 & 10.6701 & -3.97011 \tabularnewline
53 & 10.9 & 12.9199 & -2.01988 \tabularnewline
54 & 12.1 & 12.3208 & -0.220794 \tabularnewline
55 & 13.3 & 13.1006 & 0.199446 \tabularnewline
56 & 10.1 & 13.3354 & -3.23535 \tabularnewline
57 & 5.7 & 11.8777 & -6.17765 \tabularnewline
58 & 14.3 & 11.7363 & 2.56367 \tabularnewline
59 & 8 & 9.20551 & -1.20551 \tabularnewline
60 & 13.3 & 11.9798 & 1.3202 \tabularnewline
61 & 9.3 & 13.0386 & -3.73862 \tabularnewline
62 & 12.5 & 12.1643 & 0.33567 \tabularnewline
63 & 7.6 & 11.2094 & -3.60944 \tabularnewline
64 & 15.9 & 13.6218 & 2.27824 \tabularnewline
65 & 9.2 & 12.1498 & -2.94983 \tabularnewline
66 & 9.1 & 10.4283 & -1.32831 \tabularnewline
67 & 11.1 & 14.2513 & -3.15125 \tabularnewline
68 & 13 & 13.5377 & -0.537685 \tabularnewline
69 & 14.5 & 12.4424 & 2.05758 \tabularnewline
70 & 12.2 & 11.2458 & 0.954181 \tabularnewline
71 & 12.3 & 14.3158 & -2.01583 \tabularnewline
72 & 11.4 & 11.6723 & -0.272343 \tabularnewline
73 & 8.8 & 12.0342 & -3.23415 \tabularnewline
74 & 14.6 & 11.3141 & 3.28585 \tabularnewline
75 & 12.6 & 12.5668 & 0.0332149 \tabularnewline
76 & 13 & 13.711 & -0.711045 \tabularnewline
77 & 12.6 & 11.3386 & 1.26137 \tabularnewline
78 & 13.2 & 15.0245 & -1.82449 \tabularnewline
79 & 9.9 & 10.8404 & -0.940435 \tabularnewline
80 & 7.7 & 11.2487 & -3.54866 \tabularnewline
81 & 10.5 & 11.0332 & -0.533199 \tabularnewline
82 & 13.4 & 10.355 & 3.04498 \tabularnewline
83 & 10.9 & 12.0023 & -1.10234 \tabularnewline
84 & 4.3 & 9.82157 & -5.52157 \tabularnewline
85 & 10.3 & 11.0525 & -0.752541 \tabularnewline
86 & 11.8 & 11.5937 & 0.206346 \tabularnewline
87 & 11.2 & 10.1296 & 1.07042 \tabularnewline
88 & 11.4 & 10.9605 & 0.439514 \tabularnewline
89 & 8.6 & 10.7547 & -2.1547 \tabularnewline
90 & 13.2 & 11.1274 & 2.07258 \tabularnewline
91 & 12.6 & 10.3521 & 2.24794 \tabularnewline
92 & 5.6 & 10.9742 & -5.37422 \tabularnewline
93 & 9.9 & 11.1933 & -1.29329 \tabularnewline
94 & 8.8 & 12.4769 & -3.67695 \tabularnewline
95 & 7.7 & 11.4921 & -3.79214 \tabularnewline
96 & 9 & 10.7439 & -1.7439 \tabularnewline
97 & 7.3 & 12.4735 & -5.1735 \tabularnewline
98 & 11.4 & 11.002 & 0.397981 \tabularnewline
99 & 13.6 & 11.3953 & 2.20473 \tabularnewline
100 & 7.9 & 10.3219 & -2.42194 \tabularnewline
101 & 10.7 & 10.6462 & 0.053814 \tabularnewline
102 & 10.3 & 11.7023 & -1.4023 \tabularnewline
103 & 8.3 & 9.16422 & -0.864224 \tabularnewline
104 & 9.6 & 10.3789 & -0.778874 \tabularnewline
105 & 14.2 & 11.3724 & 2.82759 \tabularnewline
106 & 8.5 & 10.3306 & -1.83065 \tabularnewline
107 & 13.5 & 10.6837 & 2.81629 \tabularnewline
108 & 4.9 & 10.5621 & -5.66206 \tabularnewline
109 & 6.4 & 10.4618 & -4.06176 \tabularnewline
110 & 9.6 & 10.7958 & -1.19584 \tabularnewline
111 & 11.6 & 11.0862 & 0.513844 \tabularnewline
112 & 11.1 & 10.1322 & 0.967823 \tabularnewline
113 & 4.35 & 9.86554 & -5.51554 \tabularnewline
114 & 12.7 & 12.2709 & 0.429134 \tabularnewline
115 & 18.1 & 14.4561 & 3.64394 \tabularnewline
116 & 17.85 & 14.929 & 2.92099 \tabularnewline
117 & 16.6 & 16.827 & -0.227044 \tabularnewline
118 & 12.6 & 9.77294 & 2.82706 \tabularnewline
119 & 17.1 & 22.2114 & -5.1114 \tabularnewline
120 & 19.1 & 15.9654 & 3.13461 \tabularnewline
121 & 16.1 & 18.0714 & -1.97139 \tabularnewline
122 & 13.35 & 10.8312 & 2.51878 \tabularnewline
123 & 18.4 & 18.1717 & 0.228328 \tabularnewline
124 & 14.7 & 10.586 & 4.11398 \tabularnewline
125 & 10.6 & 14.2671 & -3.66711 \tabularnewline
126 & 12.6 & 13.002 & -0.401966 \tabularnewline
127 & 16.2 & 14.6945 & 1.50553 \tabularnewline
128 & 13.6 & 16.243 & -2.64299 \tabularnewline
129 & 18.9 & 15.7613 & 3.13866 \tabularnewline
130 & 14.1 & 12.3941 & 1.70591 \tabularnewline
131 & 14.5 & 12.1279 & 2.37214 \tabularnewline
132 & 16.15 & 18.0853 & -1.93535 \tabularnewline
133 & 14.75 & 12.4825 & 2.26752 \tabularnewline
134 & 14.8 & 13.4316 & 1.36842 \tabularnewline
135 & 12.45 & 11.8392 & 0.61077 \tabularnewline
136 & 12.65 & 14.3364 & -1.68636 \tabularnewline
137 & 17.35 & 13.6174 & 3.73258 \tabularnewline
138 & 8.6 & 11.475 & -2.87504 \tabularnewline
139 & 18.4 & 17.788 & 0.612002 \tabularnewline
140 & 16.1 & 17.9264 & -1.82639 \tabularnewline
141 & 11.6 & 11.1317 & 0.46831 \tabularnewline
142 & 17.75 & 11.2698 & 6.48017 \tabularnewline
143 & 15.25 & 12.2862 & 2.96376 \tabularnewline
144 & 17.65 & 15.6657 & 1.98427 \tabularnewline
145 & 16.35 & 14.9679 & 1.38214 \tabularnewline
146 & 17.65 & 15.5611 & 2.08889 \tabularnewline
147 & 13.6 & 12.7643 & 0.835685 \tabularnewline
148 & 14.35 & 13.5575 & 0.792517 \tabularnewline
149 & 14.75 & 17.5466 & -2.79659 \tabularnewline
150 & 18.25 & 16.534 & 1.71605 \tabularnewline
151 & 9.9 & 14.9812 & -5.08124 \tabularnewline
152 & 16 & 13.9904 & 2.00958 \tabularnewline
153 & 18.25 & 15.665 & 2.58498 \tabularnewline
154 & 16.85 & 17.4738 & -0.623766 \tabularnewline
155 & 14.6 & 12.5588 & 2.04123 \tabularnewline
156 & 13.85 & 13.6064 & 0.243595 \tabularnewline
157 & 18.95 & 16.5291 & 2.42086 \tabularnewline
158 & 15.6 & 14.799 & 0.800984 \tabularnewline
159 & 14.85 & 18.0767 & -3.22675 \tabularnewline
160 & 11.75 & 12.7087 & -0.958661 \tabularnewline
161 & 18.45 & 13.5853 & 4.86468 \tabularnewline
162 & 15.9 & 16.8059 & -0.905863 \tabularnewline
163 & 17.1 & 14.8109 & 2.28908 \tabularnewline
164 & 16.1 & 10.7676 & 5.33239 \tabularnewline
165 & 19.9 & 15.9189 & 3.98109 \tabularnewline
166 & 10.95 & 10.7916 & 0.158431 \tabularnewline
167 & 18.45 & 16.195 & 2.25503 \tabularnewline
168 & 15.1 & 10.4927 & 4.60726 \tabularnewline
169 & 15 & 15.8283 & -0.828295 \tabularnewline
170 & 11.35 & 14.4522 & -3.10217 \tabularnewline
171 & 15.95 & 14.8688 & 1.08122 \tabularnewline
172 & 18.1 & 13.7048 & 4.39519 \tabularnewline
173 & 14.6 & 12.9775 & 1.62251 \tabularnewline
174 & 15.4 & 15.9387 & -0.538666 \tabularnewline
175 & 15.4 & 15.8845 & -0.484473 \tabularnewline
176 & 17.6 & 12.9256 & 4.67441 \tabularnewline
177 & 13.35 & 13.7282 & -0.378181 \tabularnewline
178 & 19.1 & 16.5347 & 2.56533 \tabularnewline
179 & 15.35 & 12.6842 & 2.66578 \tabularnewline
180 & 7.6 & 12.4184 & -4.81844 \tabularnewline
181 & 13.4 & 14.5232 & -1.12321 \tabularnewline
182 & 13.9 & 14.1543 & -0.254254 \tabularnewline
183 & 19.1 & 16.8862 & 2.21379 \tabularnewline
184 & 15.25 & 13.6992 & 1.55076 \tabularnewline
185 & 12.9 & 11.9757 & 0.924271 \tabularnewline
186 & 16.1 & 14.5405 & 1.55955 \tabularnewline
187 & 17.35 & 12.9867 & 4.36334 \tabularnewline
188 & 13.15 & 12.8654 & 0.284591 \tabularnewline
189 & 12.15 & 10.5843 & 1.56573 \tabularnewline
190 & 12.6 & 11.9405 & 0.659489 \tabularnewline
191 & 10.35 & 11.479 & -1.129 \tabularnewline
192 & 15.4 & 11.952 & 3.44801 \tabularnewline
193 & 9.6 & 10.5999 & -0.999854 \tabularnewline
194 & 18.2 & 13.1301 & 5.06991 \tabularnewline
195 & 13.6 & 12.352 & 1.24802 \tabularnewline
196 & 14.85 & 15.408 & -0.558044 \tabularnewline
197 & 14.75 & 17.1997 & -2.44968 \tabularnewline
198 & 14.1 & 13.6281 & 0.471949 \tabularnewline
199 & 14.9 & 11.656 & 3.24395 \tabularnewline
200 & 16.25 & 13.0942 & 3.15584 \tabularnewline
201 & 19.25 & 19.0943 & 0.155663 \tabularnewline
202 & 13.6 & 12.1254 & 1.47458 \tabularnewline
203 & 13.6 & 13.3256 & 0.274411 \tabularnewline
204 & 15.65 & 15.1432 & 0.506769 \tabularnewline
205 & 12.75 & 11.8935 & 0.856514 \tabularnewline
206 & 14.6 & 11.2482 & 3.35181 \tabularnewline
207 & 9.85 & 12.3952 & -2.54521 \tabularnewline
208 & 12.65 & 11.4502 & 1.19977 \tabularnewline
209 & 19.2 & 15.2237 & 3.97633 \tabularnewline
210 & 16.6 & 13.8496 & 2.75037 \tabularnewline
211 & 11.2 & 9.84877 & 1.35123 \tabularnewline
212 & 15.25 & 13.1676 & 2.08237 \tabularnewline
213 & 11.9 & 14.6015 & -2.70153 \tabularnewline
214 & 13.2 & 15.8809 & -2.68089 \tabularnewline
215 & 16.35 & 17.3316 & -0.981632 \tabularnewline
216 & 12.4 & 12.9121 & -0.512127 \tabularnewline
217 & 15.85 & 12.4901 & 3.35995 \tabularnewline
218 & 18.15 & 14.7187 & 3.43127 \tabularnewline
219 & 11.15 & 11.1567 & -0.00669039 \tabularnewline
220 & 15.65 & 16.5083 & -0.858262 \tabularnewline
221 & 17.75 & 15.9438 & 1.80623 \tabularnewline
222 & 7.65 & 12.2375 & -4.58748 \tabularnewline
223 & 12.35 & 12.6221 & -0.272128 \tabularnewline
224 & 15.6 & 10.9398 & 4.66025 \tabularnewline
225 & 19.3 & 16.3383 & 2.96165 \tabularnewline
226 & 15.2 & 12.4793 & 2.72073 \tabularnewline
227 & 17.1 & 13.5598 & 3.54017 \tabularnewline
228 & 15.6 & 12.6163 & 2.98373 \tabularnewline
229 & 18.4 & 14.5004 & 3.89956 \tabularnewline
230 & 19.05 & 15.2732 & 3.77681 \tabularnewline
231 & 18.55 & 12.6636 & 5.8864 \tabularnewline
232 & 19.1 & 17.4823 & 1.61774 \tabularnewline
233 & 13.1 & 11.2818 & 1.81822 \tabularnewline
234 & 12.85 & 12.645 & 0.204971 \tabularnewline
235 & 9.5 & 10.1815 & -0.681531 \tabularnewline
236 & 4.5 & 11.2195 & -6.71947 \tabularnewline
237 & 11.85 & 10.8423 & 1.00774 \tabularnewline
238 & 13.6 & 15.1457 & -1.54571 \tabularnewline
239 & 11.7 & 12.6679 & -0.967943 \tabularnewline
240 & 12.4 & 10.7036 & 1.69636 \tabularnewline
241 & 13.35 & 15.2386 & -1.88859 \tabularnewline
242 & 11.4 & 13.2345 & -1.83452 \tabularnewline
243 & 14.9 & 11.3028 & 3.59721 \tabularnewline
244 & 19.9 & 15.8091 & 4.09085 \tabularnewline
245 & 11.2 & 12.3117 & -1.11173 \tabularnewline
246 & 14.6 & 14.8356 & -0.235595 \tabularnewline
247 & 17.6 & 16.1666 & 1.43337 \tabularnewline
248 & 14.05 & 12.7613 & 1.28874 \tabularnewline
249 & 16.1 & 15.5979 & 0.502123 \tabularnewline
250 & 13.35 & 12.436 & 0.914026 \tabularnewline
251 & 11.85 & 11.7972 & 0.0527843 \tabularnewline
252 & 11.95 & 14.306 & -2.35605 \tabularnewline
253 & 14.75 & 14.3349 & 0.415149 \tabularnewline
254 & 15.15 & 13.3054 & 1.84457 \tabularnewline
255 & 13.2 & 14.0682 & -0.868226 \tabularnewline
256 & 16.85 & 16.2355 & 0.614479 \tabularnewline
257 & 7.85 & 9.67204 & -1.82204 \tabularnewline
258 & 7.7 & 15.0033 & -7.30326 \tabularnewline
259 & 12.6 & 11.1771 & 1.42289 \tabularnewline
260 & 7.85 & 11.0292 & -3.17917 \tabularnewline
261 & 10.95 & 11.1584 & -0.208386 \tabularnewline
262 & 12.35 & 12.394 & -0.0440024 \tabularnewline
263 & 9.95 & 12.1042 & -2.1542 \tabularnewline
264 & 14.9 & 11.4914 & 3.40861 \tabularnewline
265 & 16.65 & 14.9306 & 1.71937 \tabularnewline
266 & 13.4 & 12.9584 & 0.441619 \tabularnewline
267 & 13.95 & 14.1423 & -0.192312 \tabularnewline
268 & 15.7 & 11.0631 & 4.63687 \tabularnewline
269 & 16.85 & 12.3616 & 4.48841 \tabularnewline
270 & 10.95 & 10.0965 & 0.85345 \tabularnewline
271 & 15.35 & 11.5432 & 3.80681 \tabularnewline
272 & 12.2 & 10.6848 & 1.51515 \tabularnewline
273 & 15.1 & 13.0421 & 2.05793 \tabularnewline
274 & 17.75 & 16.3808 & 1.36917 \tabularnewline
275 & 15.2 & 12.3794 & 2.82058 \tabularnewline
276 & 14.6 & 13.9501 & 0.649859 \tabularnewline
277 & 16.65 & 14.6255 & 2.02451 \tabularnewline
278 & 8.1 & 10.9063 & -2.80635 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266907&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]12.9[/C][C]12.6727[/C][C]0.227326[/C][/ROW]
[ROW][C]2[/C][C]12.2[/C][C]11.5225[/C][C]0.677518[/C][/ROW]
[ROW][C]3[/C][C]12.8[/C][C]12.8746[/C][C]-0.0746353[/C][/ROW]
[ROW][C]4[/C][C]7.4[/C][C]12.2467[/C][C]-4.84666[/C][/ROW]
[ROW][C]5[/C][C]6.7[/C][C]11.5648[/C][C]-4.86483[/C][/ROW]
[ROW][C]6[/C][C]12.6[/C][C]14.7076[/C][C]-2.10757[/C][/ROW]
[ROW][C]7[/C][C]14.8[/C][C]12.9293[/C][C]1.87069[/C][/ROW]
[ROW][C]8[/C][C]13.3[/C][C]12.4914[/C][C]0.808616[/C][/ROW]
[ROW][C]9[/C][C]11.1[/C][C]11.969[/C][C]-0.869036[/C][/ROW]
[ROW][C]10[/C][C]8.2[/C][C]14.5542[/C][C]-6.35419[/C][/ROW]
[ROW][C]11[/C][C]11.4[/C][C]12.8132[/C][C]-1.41318[/C][/ROW]
[ROW][C]12[/C][C]6.4[/C][C]14.0296[/C][C]-7.62958[/C][/ROW]
[ROW][C]13[/C][C]10.6[/C][C]11.0682[/C][C]-0.46819[/C][/ROW]
[ROW][C]14[/C][C]12[/C][C]13.6221[/C][C]-1.6221[/C][/ROW]
[ROW][C]15[/C][C]6.3[/C][C]9.81812[/C][C]-3.51812[/C][/ROW]
[ROW][C]16[/C][C]11.3[/C][C]11.3664[/C][C]-0.0663928[/C][/ROW]
[ROW][C]17[/C][C]11.9[/C][C]13.4104[/C][C]-1.51038[/C][/ROW]
[ROW][C]18[/C][C]9.3[/C][C]12.3845[/C][C]-3.08447[/C][/ROW]
[ROW][C]19[/C][C]9.6[/C][C]12.2427[/C][C]-2.64275[/C][/ROW]
[ROW][C]20[/C][C]10[/C][C]11.3971[/C][C]-1.39707[/C][/ROW]
[ROW][C]21[/C][C]6.4[/C][C]11.1755[/C][C]-4.77552[/C][/ROW]
[ROW][C]22[/C][C]13.8[/C][C]12.7053[/C][C]1.09471[/C][/ROW]
[ROW][C]23[/C][C]10.8[/C][C]13.6998[/C][C]-2.8998[/C][/ROW]
[ROW][C]24[/C][C]13.8[/C][C]11.8011[/C][C]1.99887[/C][/ROW]
[ROW][C]25[/C][C]11.7[/C][C]12.7739[/C][C]-1.07388[/C][/ROW]
[ROW][C]26[/C][C]10.9[/C][C]14.0873[/C][C]-3.18731[/C][/ROW]
[ROW][C]27[/C][C]16.1[/C][C]13.5181[/C][C]2.58191[/C][/ROW]
[ROW][C]28[/C][C]13.4[/C][C]11.684[/C][C]1.71599[/C][/ROW]
[ROW][C]29[/C][C]9.9[/C][C]11.2126[/C][C]-1.31265[/C][/ROW]
[ROW][C]30[/C][C]11.5[/C][C]12.0421[/C][C]-0.542052[/C][/ROW]
[ROW][C]31[/C][C]8.3[/C][C]11.7458[/C][C]-3.44581[/C][/ROW]
[ROW][C]32[/C][C]11.7[/C][C]13.971[/C][C]-2.27098[/C][/ROW]
[ROW][C]33[/C][C]9[/C][C]12.2744[/C][C]-3.27437[/C][/ROW]
[ROW][C]34[/C][C]9.7[/C][C]13.6812[/C][C]-3.98115[/C][/ROW]
[ROW][C]35[/C][C]10.8[/C][C]12.2739[/C][C]-1.47393[/C][/ROW]
[ROW][C]36[/C][C]10.3[/C][C]12.6103[/C][C]-2.31028[/C][/ROW]
[ROW][C]37[/C][C]10.4[/C][C]11.4918[/C][C]-1.09175[/C][/ROW]
[ROW][C]38[/C][C]12.7[/C][C]12.1977[/C][C]0.502331[/C][/ROW]
[ROW][C]39[/C][C]9.3[/C][C]12.3881[/C][C]-3.08812[/C][/ROW]
[ROW][C]40[/C][C]11.8[/C][C]14.6335[/C][C]-2.83355[/C][/ROW]
[ROW][C]41[/C][C]5.9[/C][C]10.8472[/C][C]-4.94722[/C][/ROW]
[ROW][C]42[/C][C]11.4[/C][C]13.8946[/C][C]-2.49465[/C][/ROW]
[ROW][C]43[/C][C]13[/C][C]11.6562[/C][C]1.34382[/C][/ROW]
[ROW][C]44[/C][C]10.8[/C][C]12.2124[/C][C]-1.41239[/C][/ROW]
[ROW][C]45[/C][C]12.3[/C][C]9.93253[/C][C]2.36747[/C][/ROW]
[ROW][C]46[/C][C]11.3[/C][C]14.0398[/C][C]-2.73976[/C][/ROW]
[ROW][C]47[/C][C]11.8[/C][C]12.0944[/C][C]-0.294399[/C][/ROW]
[ROW][C]48[/C][C]7.9[/C][C]10.6308[/C][C]-2.7308[/C][/ROW]
[ROW][C]49[/C][C]12.7[/C][C]10.0975[/C][C]2.60249[/C][/ROW]
[ROW][C]50[/C][C]12.3[/C][C]10.8546[/C][C]1.44536[/C][/ROW]
[ROW][C]51[/C][C]11.6[/C][C]11.6459[/C][C]-0.0458501[/C][/ROW]
[ROW][C]52[/C][C]6.7[/C][C]10.6701[/C][C]-3.97011[/C][/ROW]
[ROW][C]53[/C][C]10.9[/C][C]12.9199[/C][C]-2.01988[/C][/ROW]
[ROW][C]54[/C][C]12.1[/C][C]12.3208[/C][C]-0.220794[/C][/ROW]
[ROW][C]55[/C][C]13.3[/C][C]13.1006[/C][C]0.199446[/C][/ROW]
[ROW][C]56[/C][C]10.1[/C][C]13.3354[/C][C]-3.23535[/C][/ROW]
[ROW][C]57[/C][C]5.7[/C][C]11.8777[/C][C]-6.17765[/C][/ROW]
[ROW][C]58[/C][C]14.3[/C][C]11.7363[/C][C]2.56367[/C][/ROW]
[ROW][C]59[/C][C]8[/C][C]9.20551[/C][C]-1.20551[/C][/ROW]
[ROW][C]60[/C][C]13.3[/C][C]11.9798[/C][C]1.3202[/C][/ROW]
[ROW][C]61[/C][C]9.3[/C][C]13.0386[/C][C]-3.73862[/C][/ROW]
[ROW][C]62[/C][C]12.5[/C][C]12.1643[/C][C]0.33567[/C][/ROW]
[ROW][C]63[/C][C]7.6[/C][C]11.2094[/C][C]-3.60944[/C][/ROW]
[ROW][C]64[/C][C]15.9[/C][C]13.6218[/C][C]2.27824[/C][/ROW]
[ROW][C]65[/C][C]9.2[/C][C]12.1498[/C][C]-2.94983[/C][/ROW]
[ROW][C]66[/C][C]9.1[/C][C]10.4283[/C][C]-1.32831[/C][/ROW]
[ROW][C]67[/C][C]11.1[/C][C]14.2513[/C][C]-3.15125[/C][/ROW]
[ROW][C]68[/C][C]13[/C][C]13.5377[/C][C]-0.537685[/C][/ROW]
[ROW][C]69[/C][C]14.5[/C][C]12.4424[/C][C]2.05758[/C][/ROW]
[ROW][C]70[/C][C]12.2[/C][C]11.2458[/C][C]0.954181[/C][/ROW]
[ROW][C]71[/C][C]12.3[/C][C]14.3158[/C][C]-2.01583[/C][/ROW]
[ROW][C]72[/C][C]11.4[/C][C]11.6723[/C][C]-0.272343[/C][/ROW]
[ROW][C]73[/C][C]8.8[/C][C]12.0342[/C][C]-3.23415[/C][/ROW]
[ROW][C]74[/C][C]14.6[/C][C]11.3141[/C][C]3.28585[/C][/ROW]
[ROW][C]75[/C][C]12.6[/C][C]12.5668[/C][C]0.0332149[/C][/ROW]
[ROW][C]76[/C][C]13[/C][C]13.711[/C][C]-0.711045[/C][/ROW]
[ROW][C]77[/C][C]12.6[/C][C]11.3386[/C][C]1.26137[/C][/ROW]
[ROW][C]78[/C][C]13.2[/C][C]15.0245[/C][C]-1.82449[/C][/ROW]
[ROW][C]79[/C][C]9.9[/C][C]10.8404[/C][C]-0.940435[/C][/ROW]
[ROW][C]80[/C][C]7.7[/C][C]11.2487[/C][C]-3.54866[/C][/ROW]
[ROW][C]81[/C][C]10.5[/C][C]11.0332[/C][C]-0.533199[/C][/ROW]
[ROW][C]82[/C][C]13.4[/C][C]10.355[/C][C]3.04498[/C][/ROW]
[ROW][C]83[/C][C]10.9[/C][C]12.0023[/C][C]-1.10234[/C][/ROW]
[ROW][C]84[/C][C]4.3[/C][C]9.82157[/C][C]-5.52157[/C][/ROW]
[ROW][C]85[/C][C]10.3[/C][C]11.0525[/C][C]-0.752541[/C][/ROW]
[ROW][C]86[/C][C]11.8[/C][C]11.5937[/C][C]0.206346[/C][/ROW]
[ROW][C]87[/C][C]11.2[/C][C]10.1296[/C][C]1.07042[/C][/ROW]
[ROW][C]88[/C][C]11.4[/C][C]10.9605[/C][C]0.439514[/C][/ROW]
[ROW][C]89[/C][C]8.6[/C][C]10.7547[/C][C]-2.1547[/C][/ROW]
[ROW][C]90[/C][C]13.2[/C][C]11.1274[/C][C]2.07258[/C][/ROW]
[ROW][C]91[/C][C]12.6[/C][C]10.3521[/C][C]2.24794[/C][/ROW]
[ROW][C]92[/C][C]5.6[/C][C]10.9742[/C][C]-5.37422[/C][/ROW]
[ROW][C]93[/C][C]9.9[/C][C]11.1933[/C][C]-1.29329[/C][/ROW]
[ROW][C]94[/C][C]8.8[/C][C]12.4769[/C][C]-3.67695[/C][/ROW]
[ROW][C]95[/C][C]7.7[/C][C]11.4921[/C][C]-3.79214[/C][/ROW]
[ROW][C]96[/C][C]9[/C][C]10.7439[/C][C]-1.7439[/C][/ROW]
[ROW][C]97[/C][C]7.3[/C][C]12.4735[/C][C]-5.1735[/C][/ROW]
[ROW][C]98[/C][C]11.4[/C][C]11.002[/C][C]0.397981[/C][/ROW]
[ROW][C]99[/C][C]13.6[/C][C]11.3953[/C][C]2.20473[/C][/ROW]
[ROW][C]100[/C][C]7.9[/C][C]10.3219[/C][C]-2.42194[/C][/ROW]
[ROW][C]101[/C][C]10.7[/C][C]10.6462[/C][C]0.053814[/C][/ROW]
[ROW][C]102[/C][C]10.3[/C][C]11.7023[/C][C]-1.4023[/C][/ROW]
[ROW][C]103[/C][C]8.3[/C][C]9.16422[/C][C]-0.864224[/C][/ROW]
[ROW][C]104[/C][C]9.6[/C][C]10.3789[/C][C]-0.778874[/C][/ROW]
[ROW][C]105[/C][C]14.2[/C][C]11.3724[/C][C]2.82759[/C][/ROW]
[ROW][C]106[/C][C]8.5[/C][C]10.3306[/C][C]-1.83065[/C][/ROW]
[ROW][C]107[/C][C]13.5[/C][C]10.6837[/C][C]2.81629[/C][/ROW]
[ROW][C]108[/C][C]4.9[/C][C]10.5621[/C][C]-5.66206[/C][/ROW]
[ROW][C]109[/C][C]6.4[/C][C]10.4618[/C][C]-4.06176[/C][/ROW]
[ROW][C]110[/C][C]9.6[/C][C]10.7958[/C][C]-1.19584[/C][/ROW]
[ROW][C]111[/C][C]11.6[/C][C]11.0862[/C][C]0.513844[/C][/ROW]
[ROW][C]112[/C][C]11.1[/C][C]10.1322[/C][C]0.967823[/C][/ROW]
[ROW][C]113[/C][C]4.35[/C][C]9.86554[/C][C]-5.51554[/C][/ROW]
[ROW][C]114[/C][C]12.7[/C][C]12.2709[/C][C]0.429134[/C][/ROW]
[ROW][C]115[/C][C]18.1[/C][C]14.4561[/C][C]3.64394[/C][/ROW]
[ROW][C]116[/C][C]17.85[/C][C]14.929[/C][C]2.92099[/C][/ROW]
[ROW][C]117[/C][C]16.6[/C][C]16.827[/C][C]-0.227044[/C][/ROW]
[ROW][C]118[/C][C]12.6[/C][C]9.77294[/C][C]2.82706[/C][/ROW]
[ROW][C]119[/C][C]17.1[/C][C]22.2114[/C][C]-5.1114[/C][/ROW]
[ROW][C]120[/C][C]19.1[/C][C]15.9654[/C][C]3.13461[/C][/ROW]
[ROW][C]121[/C][C]16.1[/C][C]18.0714[/C][C]-1.97139[/C][/ROW]
[ROW][C]122[/C][C]13.35[/C][C]10.8312[/C][C]2.51878[/C][/ROW]
[ROW][C]123[/C][C]18.4[/C][C]18.1717[/C][C]0.228328[/C][/ROW]
[ROW][C]124[/C][C]14.7[/C][C]10.586[/C][C]4.11398[/C][/ROW]
[ROW][C]125[/C][C]10.6[/C][C]14.2671[/C][C]-3.66711[/C][/ROW]
[ROW][C]126[/C][C]12.6[/C][C]13.002[/C][C]-0.401966[/C][/ROW]
[ROW][C]127[/C][C]16.2[/C][C]14.6945[/C][C]1.50553[/C][/ROW]
[ROW][C]128[/C][C]13.6[/C][C]16.243[/C][C]-2.64299[/C][/ROW]
[ROW][C]129[/C][C]18.9[/C][C]15.7613[/C][C]3.13866[/C][/ROW]
[ROW][C]130[/C][C]14.1[/C][C]12.3941[/C][C]1.70591[/C][/ROW]
[ROW][C]131[/C][C]14.5[/C][C]12.1279[/C][C]2.37214[/C][/ROW]
[ROW][C]132[/C][C]16.15[/C][C]18.0853[/C][C]-1.93535[/C][/ROW]
[ROW][C]133[/C][C]14.75[/C][C]12.4825[/C][C]2.26752[/C][/ROW]
[ROW][C]134[/C][C]14.8[/C][C]13.4316[/C][C]1.36842[/C][/ROW]
[ROW][C]135[/C][C]12.45[/C][C]11.8392[/C][C]0.61077[/C][/ROW]
[ROW][C]136[/C][C]12.65[/C][C]14.3364[/C][C]-1.68636[/C][/ROW]
[ROW][C]137[/C][C]17.35[/C][C]13.6174[/C][C]3.73258[/C][/ROW]
[ROW][C]138[/C][C]8.6[/C][C]11.475[/C][C]-2.87504[/C][/ROW]
[ROW][C]139[/C][C]18.4[/C][C]17.788[/C][C]0.612002[/C][/ROW]
[ROW][C]140[/C][C]16.1[/C][C]17.9264[/C][C]-1.82639[/C][/ROW]
[ROW][C]141[/C][C]11.6[/C][C]11.1317[/C][C]0.46831[/C][/ROW]
[ROW][C]142[/C][C]17.75[/C][C]11.2698[/C][C]6.48017[/C][/ROW]
[ROW][C]143[/C][C]15.25[/C][C]12.2862[/C][C]2.96376[/C][/ROW]
[ROW][C]144[/C][C]17.65[/C][C]15.6657[/C][C]1.98427[/C][/ROW]
[ROW][C]145[/C][C]16.35[/C][C]14.9679[/C][C]1.38214[/C][/ROW]
[ROW][C]146[/C][C]17.65[/C][C]15.5611[/C][C]2.08889[/C][/ROW]
[ROW][C]147[/C][C]13.6[/C][C]12.7643[/C][C]0.835685[/C][/ROW]
[ROW][C]148[/C][C]14.35[/C][C]13.5575[/C][C]0.792517[/C][/ROW]
[ROW][C]149[/C][C]14.75[/C][C]17.5466[/C][C]-2.79659[/C][/ROW]
[ROW][C]150[/C][C]18.25[/C][C]16.534[/C][C]1.71605[/C][/ROW]
[ROW][C]151[/C][C]9.9[/C][C]14.9812[/C][C]-5.08124[/C][/ROW]
[ROW][C]152[/C][C]16[/C][C]13.9904[/C][C]2.00958[/C][/ROW]
[ROW][C]153[/C][C]18.25[/C][C]15.665[/C][C]2.58498[/C][/ROW]
[ROW][C]154[/C][C]16.85[/C][C]17.4738[/C][C]-0.623766[/C][/ROW]
[ROW][C]155[/C][C]14.6[/C][C]12.5588[/C][C]2.04123[/C][/ROW]
[ROW][C]156[/C][C]13.85[/C][C]13.6064[/C][C]0.243595[/C][/ROW]
[ROW][C]157[/C][C]18.95[/C][C]16.5291[/C][C]2.42086[/C][/ROW]
[ROW][C]158[/C][C]15.6[/C][C]14.799[/C][C]0.800984[/C][/ROW]
[ROW][C]159[/C][C]14.85[/C][C]18.0767[/C][C]-3.22675[/C][/ROW]
[ROW][C]160[/C][C]11.75[/C][C]12.7087[/C][C]-0.958661[/C][/ROW]
[ROW][C]161[/C][C]18.45[/C][C]13.5853[/C][C]4.86468[/C][/ROW]
[ROW][C]162[/C][C]15.9[/C][C]16.8059[/C][C]-0.905863[/C][/ROW]
[ROW][C]163[/C][C]17.1[/C][C]14.8109[/C][C]2.28908[/C][/ROW]
[ROW][C]164[/C][C]16.1[/C][C]10.7676[/C][C]5.33239[/C][/ROW]
[ROW][C]165[/C][C]19.9[/C][C]15.9189[/C][C]3.98109[/C][/ROW]
[ROW][C]166[/C][C]10.95[/C][C]10.7916[/C][C]0.158431[/C][/ROW]
[ROW][C]167[/C][C]18.45[/C][C]16.195[/C][C]2.25503[/C][/ROW]
[ROW][C]168[/C][C]15.1[/C][C]10.4927[/C][C]4.60726[/C][/ROW]
[ROW][C]169[/C][C]15[/C][C]15.8283[/C][C]-0.828295[/C][/ROW]
[ROW][C]170[/C][C]11.35[/C][C]14.4522[/C][C]-3.10217[/C][/ROW]
[ROW][C]171[/C][C]15.95[/C][C]14.8688[/C][C]1.08122[/C][/ROW]
[ROW][C]172[/C][C]18.1[/C][C]13.7048[/C][C]4.39519[/C][/ROW]
[ROW][C]173[/C][C]14.6[/C][C]12.9775[/C][C]1.62251[/C][/ROW]
[ROW][C]174[/C][C]15.4[/C][C]15.9387[/C][C]-0.538666[/C][/ROW]
[ROW][C]175[/C][C]15.4[/C][C]15.8845[/C][C]-0.484473[/C][/ROW]
[ROW][C]176[/C][C]17.6[/C][C]12.9256[/C][C]4.67441[/C][/ROW]
[ROW][C]177[/C][C]13.35[/C][C]13.7282[/C][C]-0.378181[/C][/ROW]
[ROW][C]178[/C][C]19.1[/C][C]16.5347[/C][C]2.56533[/C][/ROW]
[ROW][C]179[/C][C]15.35[/C][C]12.6842[/C][C]2.66578[/C][/ROW]
[ROW][C]180[/C][C]7.6[/C][C]12.4184[/C][C]-4.81844[/C][/ROW]
[ROW][C]181[/C][C]13.4[/C][C]14.5232[/C][C]-1.12321[/C][/ROW]
[ROW][C]182[/C][C]13.9[/C][C]14.1543[/C][C]-0.254254[/C][/ROW]
[ROW][C]183[/C][C]19.1[/C][C]16.8862[/C][C]2.21379[/C][/ROW]
[ROW][C]184[/C][C]15.25[/C][C]13.6992[/C][C]1.55076[/C][/ROW]
[ROW][C]185[/C][C]12.9[/C][C]11.9757[/C][C]0.924271[/C][/ROW]
[ROW][C]186[/C][C]16.1[/C][C]14.5405[/C][C]1.55955[/C][/ROW]
[ROW][C]187[/C][C]17.35[/C][C]12.9867[/C][C]4.36334[/C][/ROW]
[ROW][C]188[/C][C]13.15[/C][C]12.8654[/C][C]0.284591[/C][/ROW]
[ROW][C]189[/C][C]12.15[/C][C]10.5843[/C][C]1.56573[/C][/ROW]
[ROW][C]190[/C][C]12.6[/C][C]11.9405[/C][C]0.659489[/C][/ROW]
[ROW][C]191[/C][C]10.35[/C][C]11.479[/C][C]-1.129[/C][/ROW]
[ROW][C]192[/C][C]15.4[/C][C]11.952[/C][C]3.44801[/C][/ROW]
[ROW][C]193[/C][C]9.6[/C][C]10.5999[/C][C]-0.999854[/C][/ROW]
[ROW][C]194[/C][C]18.2[/C][C]13.1301[/C][C]5.06991[/C][/ROW]
[ROW][C]195[/C][C]13.6[/C][C]12.352[/C][C]1.24802[/C][/ROW]
[ROW][C]196[/C][C]14.85[/C][C]15.408[/C][C]-0.558044[/C][/ROW]
[ROW][C]197[/C][C]14.75[/C][C]17.1997[/C][C]-2.44968[/C][/ROW]
[ROW][C]198[/C][C]14.1[/C][C]13.6281[/C][C]0.471949[/C][/ROW]
[ROW][C]199[/C][C]14.9[/C][C]11.656[/C][C]3.24395[/C][/ROW]
[ROW][C]200[/C][C]16.25[/C][C]13.0942[/C][C]3.15584[/C][/ROW]
[ROW][C]201[/C][C]19.25[/C][C]19.0943[/C][C]0.155663[/C][/ROW]
[ROW][C]202[/C][C]13.6[/C][C]12.1254[/C][C]1.47458[/C][/ROW]
[ROW][C]203[/C][C]13.6[/C][C]13.3256[/C][C]0.274411[/C][/ROW]
[ROW][C]204[/C][C]15.65[/C][C]15.1432[/C][C]0.506769[/C][/ROW]
[ROW][C]205[/C][C]12.75[/C][C]11.8935[/C][C]0.856514[/C][/ROW]
[ROW][C]206[/C][C]14.6[/C][C]11.2482[/C][C]3.35181[/C][/ROW]
[ROW][C]207[/C][C]9.85[/C][C]12.3952[/C][C]-2.54521[/C][/ROW]
[ROW][C]208[/C][C]12.65[/C][C]11.4502[/C][C]1.19977[/C][/ROW]
[ROW][C]209[/C][C]19.2[/C][C]15.2237[/C][C]3.97633[/C][/ROW]
[ROW][C]210[/C][C]16.6[/C][C]13.8496[/C][C]2.75037[/C][/ROW]
[ROW][C]211[/C][C]11.2[/C][C]9.84877[/C][C]1.35123[/C][/ROW]
[ROW][C]212[/C][C]15.25[/C][C]13.1676[/C][C]2.08237[/C][/ROW]
[ROW][C]213[/C][C]11.9[/C][C]14.6015[/C][C]-2.70153[/C][/ROW]
[ROW][C]214[/C][C]13.2[/C][C]15.8809[/C][C]-2.68089[/C][/ROW]
[ROW][C]215[/C][C]16.35[/C][C]17.3316[/C][C]-0.981632[/C][/ROW]
[ROW][C]216[/C][C]12.4[/C][C]12.9121[/C][C]-0.512127[/C][/ROW]
[ROW][C]217[/C][C]15.85[/C][C]12.4901[/C][C]3.35995[/C][/ROW]
[ROW][C]218[/C][C]18.15[/C][C]14.7187[/C][C]3.43127[/C][/ROW]
[ROW][C]219[/C][C]11.15[/C][C]11.1567[/C][C]-0.00669039[/C][/ROW]
[ROW][C]220[/C][C]15.65[/C][C]16.5083[/C][C]-0.858262[/C][/ROW]
[ROW][C]221[/C][C]17.75[/C][C]15.9438[/C][C]1.80623[/C][/ROW]
[ROW][C]222[/C][C]7.65[/C][C]12.2375[/C][C]-4.58748[/C][/ROW]
[ROW][C]223[/C][C]12.35[/C][C]12.6221[/C][C]-0.272128[/C][/ROW]
[ROW][C]224[/C][C]15.6[/C][C]10.9398[/C][C]4.66025[/C][/ROW]
[ROW][C]225[/C][C]19.3[/C][C]16.3383[/C][C]2.96165[/C][/ROW]
[ROW][C]226[/C][C]15.2[/C][C]12.4793[/C][C]2.72073[/C][/ROW]
[ROW][C]227[/C][C]17.1[/C][C]13.5598[/C][C]3.54017[/C][/ROW]
[ROW][C]228[/C][C]15.6[/C][C]12.6163[/C][C]2.98373[/C][/ROW]
[ROW][C]229[/C][C]18.4[/C][C]14.5004[/C][C]3.89956[/C][/ROW]
[ROW][C]230[/C][C]19.05[/C][C]15.2732[/C][C]3.77681[/C][/ROW]
[ROW][C]231[/C][C]18.55[/C][C]12.6636[/C][C]5.8864[/C][/ROW]
[ROW][C]232[/C][C]19.1[/C][C]17.4823[/C][C]1.61774[/C][/ROW]
[ROW][C]233[/C][C]13.1[/C][C]11.2818[/C][C]1.81822[/C][/ROW]
[ROW][C]234[/C][C]12.85[/C][C]12.645[/C][C]0.204971[/C][/ROW]
[ROW][C]235[/C][C]9.5[/C][C]10.1815[/C][C]-0.681531[/C][/ROW]
[ROW][C]236[/C][C]4.5[/C][C]11.2195[/C][C]-6.71947[/C][/ROW]
[ROW][C]237[/C][C]11.85[/C][C]10.8423[/C][C]1.00774[/C][/ROW]
[ROW][C]238[/C][C]13.6[/C][C]15.1457[/C][C]-1.54571[/C][/ROW]
[ROW][C]239[/C][C]11.7[/C][C]12.6679[/C][C]-0.967943[/C][/ROW]
[ROW][C]240[/C][C]12.4[/C][C]10.7036[/C][C]1.69636[/C][/ROW]
[ROW][C]241[/C][C]13.35[/C][C]15.2386[/C][C]-1.88859[/C][/ROW]
[ROW][C]242[/C][C]11.4[/C][C]13.2345[/C][C]-1.83452[/C][/ROW]
[ROW][C]243[/C][C]14.9[/C][C]11.3028[/C][C]3.59721[/C][/ROW]
[ROW][C]244[/C][C]19.9[/C][C]15.8091[/C][C]4.09085[/C][/ROW]
[ROW][C]245[/C][C]11.2[/C][C]12.3117[/C][C]-1.11173[/C][/ROW]
[ROW][C]246[/C][C]14.6[/C][C]14.8356[/C][C]-0.235595[/C][/ROW]
[ROW][C]247[/C][C]17.6[/C][C]16.1666[/C][C]1.43337[/C][/ROW]
[ROW][C]248[/C][C]14.05[/C][C]12.7613[/C][C]1.28874[/C][/ROW]
[ROW][C]249[/C][C]16.1[/C][C]15.5979[/C][C]0.502123[/C][/ROW]
[ROW][C]250[/C][C]13.35[/C][C]12.436[/C][C]0.914026[/C][/ROW]
[ROW][C]251[/C][C]11.85[/C][C]11.7972[/C][C]0.0527843[/C][/ROW]
[ROW][C]252[/C][C]11.95[/C][C]14.306[/C][C]-2.35605[/C][/ROW]
[ROW][C]253[/C][C]14.75[/C][C]14.3349[/C][C]0.415149[/C][/ROW]
[ROW][C]254[/C][C]15.15[/C][C]13.3054[/C][C]1.84457[/C][/ROW]
[ROW][C]255[/C][C]13.2[/C][C]14.0682[/C][C]-0.868226[/C][/ROW]
[ROW][C]256[/C][C]16.85[/C][C]16.2355[/C][C]0.614479[/C][/ROW]
[ROW][C]257[/C][C]7.85[/C][C]9.67204[/C][C]-1.82204[/C][/ROW]
[ROW][C]258[/C][C]7.7[/C][C]15.0033[/C][C]-7.30326[/C][/ROW]
[ROW][C]259[/C][C]12.6[/C][C]11.1771[/C][C]1.42289[/C][/ROW]
[ROW][C]260[/C][C]7.85[/C][C]11.0292[/C][C]-3.17917[/C][/ROW]
[ROW][C]261[/C][C]10.95[/C][C]11.1584[/C][C]-0.208386[/C][/ROW]
[ROW][C]262[/C][C]12.35[/C][C]12.394[/C][C]-0.0440024[/C][/ROW]
[ROW][C]263[/C][C]9.95[/C][C]12.1042[/C][C]-2.1542[/C][/ROW]
[ROW][C]264[/C][C]14.9[/C][C]11.4914[/C][C]3.40861[/C][/ROW]
[ROW][C]265[/C][C]16.65[/C][C]14.9306[/C][C]1.71937[/C][/ROW]
[ROW][C]266[/C][C]13.4[/C][C]12.9584[/C][C]0.441619[/C][/ROW]
[ROW][C]267[/C][C]13.95[/C][C]14.1423[/C][C]-0.192312[/C][/ROW]
[ROW][C]268[/C][C]15.7[/C][C]11.0631[/C][C]4.63687[/C][/ROW]
[ROW][C]269[/C][C]16.85[/C][C]12.3616[/C][C]4.48841[/C][/ROW]
[ROW][C]270[/C][C]10.95[/C][C]10.0965[/C][C]0.85345[/C][/ROW]
[ROW][C]271[/C][C]15.35[/C][C]11.5432[/C][C]3.80681[/C][/ROW]
[ROW][C]272[/C][C]12.2[/C][C]10.6848[/C][C]1.51515[/C][/ROW]
[ROW][C]273[/C][C]15.1[/C][C]13.0421[/C][C]2.05793[/C][/ROW]
[ROW][C]274[/C][C]17.75[/C][C]16.3808[/C][C]1.36917[/C][/ROW]
[ROW][C]275[/C][C]15.2[/C][C]12.3794[/C][C]2.82058[/C][/ROW]
[ROW][C]276[/C][C]14.6[/C][C]13.9501[/C][C]0.649859[/C][/ROW]
[ROW][C]277[/C][C]16.65[/C][C]14.6255[/C][C]2.02451[/C][/ROW]
[ROW][C]278[/C][C]8.1[/C][C]10.9063[/C][C]-2.80635[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266907&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266907&T=4

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	12.9	12.6727	0.227326
2	12.2	11.5225	0.677518
3	12.8	12.8746	-0.0746353
4	7.4	12.2467	-4.84666
5	6.7	11.5648	-4.86483
6	12.6	14.7076	-2.10757
7	14.8	12.9293	1.87069
8	13.3	12.4914	0.808616
9	11.1	11.969	-0.869036
10	8.2	14.5542	-6.35419
11	11.4	12.8132	-1.41318
12	6.4	14.0296	-7.62958
13	10.6	11.0682	-0.46819
14	12	13.6221	-1.6221
15	6.3	9.81812	-3.51812
16	11.3	11.3664	-0.0663928
17	11.9	13.4104	-1.51038
18	9.3	12.3845	-3.08447
19	9.6	12.2427	-2.64275
20	10	11.3971	-1.39707
21	6.4	11.1755	-4.77552
22	13.8	12.7053	1.09471
23	10.8	13.6998	-2.8998
24	13.8	11.8011	1.99887
25	11.7	12.7739	-1.07388
26	10.9	14.0873	-3.18731
27	16.1	13.5181	2.58191
28	13.4	11.684	1.71599
29	9.9	11.2126	-1.31265
30	11.5	12.0421	-0.542052
31	8.3	11.7458	-3.44581
32	11.7	13.971	-2.27098
33	9	12.2744	-3.27437
34	9.7	13.6812	-3.98115
35	10.8	12.2739	-1.47393
36	10.3	12.6103	-2.31028
37	10.4	11.4918	-1.09175
38	12.7	12.1977	0.502331
39	9.3	12.3881	-3.08812
40	11.8	14.6335	-2.83355
41	5.9	10.8472	-4.94722
42	11.4	13.8946	-2.49465
43	13	11.6562	1.34382
44	10.8	12.2124	-1.41239
45	12.3	9.93253	2.36747
46	11.3	14.0398	-2.73976
47	11.8	12.0944	-0.294399
48	7.9	10.6308	-2.7308
49	12.7	10.0975	2.60249
50	12.3	10.8546	1.44536
51	11.6	11.6459	-0.0458501
52	6.7	10.6701	-3.97011
53	10.9	12.9199	-2.01988
54	12.1	12.3208	-0.220794
55	13.3	13.1006	0.199446
56	10.1	13.3354	-3.23535
57	5.7	11.8777	-6.17765
58	14.3	11.7363	2.56367
59	8	9.20551	-1.20551
60	13.3	11.9798	1.3202
61	9.3	13.0386	-3.73862
62	12.5	12.1643	0.33567
63	7.6	11.2094	-3.60944
64	15.9	13.6218	2.27824
65	9.2	12.1498	-2.94983
66	9.1	10.4283	-1.32831
67	11.1	14.2513	-3.15125
68	13	13.5377	-0.537685
69	14.5	12.4424	2.05758
70	12.2	11.2458	0.954181
71	12.3	14.3158	-2.01583
72	11.4	11.6723	-0.272343
73	8.8	12.0342	-3.23415
74	14.6	11.3141	3.28585
75	12.6	12.5668	0.0332149
76	13	13.711	-0.711045
77	12.6	11.3386	1.26137
78	13.2	15.0245	-1.82449
79	9.9	10.8404	-0.940435
80	7.7	11.2487	-3.54866
81	10.5	11.0332	-0.533199
82	13.4	10.355	3.04498
83	10.9	12.0023	-1.10234
84	4.3	9.82157	-5.52157
85	10.3	11.0525	-0.752541
86	11.8	11.5937	0.206346
87	11.2	10.1296	1.07042
88	11.4	10.9605	0.439514
89	8.6	10.7547	-2.1547
90	13.2	11.1274	2.07258
91	12.6	10.3521	2.24794
92	5.6	10.9742	-5.37422
93	9.9	11.1933	-1.29329
94	8.8	12.4769	-3.67695
95	7.7	11.4921	-3.79214
96	9	10.7439	-1.7439
97	7.3	12.4735	-5.1735
98	11.4	11.002	0.397981
99	13.6	11.3953	2.20473
100	7.9	10.3219	-2.42194
101	10.7	10.6462	0.053814
102	10.3	11.7023	-1.4023
103	8.3	9.16422	-0.864224
104	9.6	10.3789	-0.778874
105	14.2	11.3724	2.82759
106	8.5	10.3306	-1.83065
107	13.5	10.6837	2.81629
108	4.9	10.5621	-5.66206
109	6.4	10.4618	-4.06176
110	9.6	10.7958	-1.19584
111	11.6	11.0862	0.513844
112	11.1	10.1322	0.967823
113	4.35	9.86554	-5.51554
114	12.7	12.2709	0.429134
115	18.1	14.4561	3.64394
116	17.85	14.929	2.92099
117	16.6	16.827	-0.227044
118	12.6	9.77294	2.82706
119	17.1	22.2114	-5.1114
120	19.1	15.9654	3.13461
121	16.1	18.0714	-1.97139
122	13.35	10.8312	2.51878
123	18.4	18.1717	0.228328
124	14.7	10.586	4.11398
125	10.6	14.2671	-3.66711
126	12.6	13.002	-0.401966
127	16.2	14.6945	1.50553
128	13.6	16.243	-2.64299
129	18.9	15.7613	3.13866
130	14.1	12.3941	1.70591
131	14.5	12.1279	2.37214
132	16.15	18.0853	-1.93535
133	14.75	12.4825	2.26752
134	14.8	13.4316	1.36842
135	12.45	11.8392	0.61077
136	12.65	14.3364	-1.68636
137	17.35	13.6174	3.73258
138	8.6	11.475	-2.87504
139	18.4	17.788	0.612002
140	16.1	17.9264	-1.82639
141	11.6	11.1317	0.46831
142	17.75	11.2698	6.48017
143	15.25	12.2862	2.96376
144	17.65	15.6657	1.98427
145	16.35	14.9679	1.38214
146	17.65	15.5611	2.08889
147	13.6	12.7643	0.835685
148	14.35	13.5575	0.792517
149	14.75	17.5466	-2.79659
150	18.25	16.534	1.71605
151	9.9	14.9812	-5.08124
152	16	13.9904	2.00958
153	18.25	15.665	2.58498
154	16.85	17.4738	-0.623766
155	14.6	12.5588	2.04123
156	13.85	13.6064	0.243595
157	18.95	16.5291	2.42086
158	15.6	14.799	0.800984
159	14.85	18.0767	-3.22675
160	11.75	12.7087	-0.958661
161	18.45	13.5853	4.86468
162	15.9	16.8059	-0.905863
163	17.1	14.8109	2.28908
164	16.1	10.7676	5.33239
165	19.9	15.9189	3.98109
166	10.95	10.7916	0.158431
167	18.45	16.195	2.25503
168	15.1	10.4927	4.60726
169	15	15.8283	-0.828295
170	11.35	14.4522	-3.10217
171	15.95	14.8688	1.08122
172	18.1	13.7048	4.39519
173	14.6	12.9775	1.62251
174	15.4	15.9387	-0.538666
175	15.4	15.8845	-0.484473
176	17.6	12.9256	4.67441
177	13.35	13.7282	-0.378181
178	19.1	16.5347	2.56533
179	15.35	12.6842	2.66578
180	7.6	12.4184	-4.81844
181	13.4	14.5232	-1.12321
182	13.9	14.1543	-0.254254
183	19.1	16.8862	2.21379
184	15.25	13.6992	1.55076
185	12.9	11.9757	0.924271
186	16.1	14.5405	1.55955
187	17.35	12.9867	4.36334
188	13.15	12.8654	0.284591
189	12.15	10.5843	1.56573
190	12.6	11.9405	0.659489
191	10.35	11.479	-1.129
192	15.4	11.952	3.44801
193	9.6	10.5999	-0.999854
194	18.2	13.1301	5.06991
195	13.6	12.352	1.24802
196	14.85	15.408	-0.558044
197	14.75	17.1997	-2.44968
198	14.1	13.6281	0.471949
199	14.9	11.656	3.24395
200	16.25	13.0942	3.15584
201	19.25	19.0943	0.155663
202	13.6	12.1254	1.47458
203	13.6	13.3256	0.274411
204	15.65	15.1432	0.506769
205	12.75	11.8935	0.856514
206	14.6	11.2482	3.35181
207	9.85	12.3952	-2.54521
208	12.65	11.4502	1.19977
209	19.2	15.2237	3.97633
210	16.6	13.8496	2.75037
211	11.2	9.84877	1.35123
212	15.25	13.1676	2.08237
213	11.9	14.6015	-2.70153
214	13.2	15.8809	-2.68089
215	16.35	17.3316	-0.981632
216	12.4	12.9121	-0.512127
217	15.85	12.4901	3.35995
218	18.15	14.7187	3.43127
219	11.15	11.1567	-0.00669039
220	15.65	16.5083	-0.858262
221	17.75	15.9438	1.80623
222	7.65	12.2375	-4.58748
223	12.35	12.6221	-0.272128
224	15.6	10.9398	4.66025
225	19.3	16.3383	2.96165
226	15.2	12.4793	2.72073
227	17.1	13.5598	3.54017
228	15.6	12.6163	2.98373
229	18.4	14.5004	3.89956
230	19.05	15.2732	3.77681
231	18.55	12.6636	5.8864
232	19.1	17.4823	1.61774
233	13.1	11.2818	1.81822
234	12.85	12.645	0.204971
235	9.5	10.1815	-0.681531
236	4.5	11.2195	-6.71947
237	11.85	10.8423	1.00774
238	13.6	15.1457	-1.54571
239	11.7	12.6679	-0.967943
240	12.4	10.7036	1.69636
241	13.35	15.2386	-1.88859
242	11.4	13.2345	-1.83452
243	14.9	11.3028	3.59721
244	19.9	15.8091	4.09085
245	11.2	12.3117	-1.11173
246	14.6	14.8356	-0.235595
247	17.6	16.1666	1.43337
248	14.05	12.7613	1.28874
249	16.1	15.5979	0.502123
250	13.35	12.436	0.914026
251	11.85	11.7972	0.0527843
252	11.95	14.306	-2.35605
253	14.75	14.3349	0.415149
254	15.15	13.3054	1.84457
255	13.2	14.0682	-0.868226
256	16.85	16.2355	0.614479
257	7.85	9.67204	-1.82204
258	7.7	15.0033	-7.30326
259	12.6	11.1771	1.42289
260	7.85	11.0292	-3.17917
261	10.95	11.1584	-0.208386
262	12.35	12.394	-0.0440024
263	9.95	12.1042	-2.1542
264	14.9	11.4914	3.40861
265	16.65	14.9306	1.71937
266	13.4	12.9584	0.441619
267	13.95	14.1423	-0.192312
268	15.7	11.0631	4.63687
269	16.85	12.3616	4.48841
270	10.95	10.0965	0.85345
271	15.35	11.5432	3.80681
272	12.2	10.6848	1.51515
273	15.1	13.0421	2.05793
274	17.75	16.3808	1.36917
275	15.2	12.3794	2.82058
276	14.6	13.9501	0.649859
277	16.65	14.6255	2.02451
278	8.1	10.9063	-2.80635

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
15	0.175822	0.351643	0.824178
16	0.0877965	0.175593	0.912203
17	0.177927	0.355854	0.822073
18	0.120684	0.241368	0.879316
19	0.07181	0.14362	0.92819
20	0.0384691	0.0769381	0.961531
21	0.0234673	0.0469346	0.976533
22	0.0129479	0.0258958	0.987052
23	0.0257809	0.0515619	0.974219
24	0.0182745	0.0365491	0.981725
25	0.0116762	0.0233525	0.988324
26	0.00654363	0.0130873	0.993456
27	0.00347295	0.0069459	0.996527
28	0.00312575	0.0062515	0.996874
29	0.00163362	0.00326723	0.998366
30	0.00196515	0.0039303	0.998035
31	0.00256815	0.0051363	0.997432
32	0.00232187	0.00464374	0.997678
33	0.00133987	0.00267973	0.99866
34	0.000919002	0.001838	0.999081
35	0.000761897	0.00152379	0.999238
36	0.000608543	0.00121709	0.999391
37	0.000330398	0.000660796	0.99967
38	0.00133328	0.00266655	0.998667
39	0.00466933	0.00933865	0.995331
40	0.00307687	0.00615373	0.996923
41	0.00481344	0.00962688	0.995187
42	0.00426428	0.00852856	0.995736
43	0.00459864	0.00919727	0.995401
44	0.00315737	0.00631473	0.996843
45	0.00556024	0.0111205	0.99444
46	0.00426182	0.00852363	0.995738
47	0.00418729	0.00837458	0.995813
48	0.0033232	0.00664641	0.996677
49	0.00383642	0.00767285	0.996164
50	0.00758829	0.0151766	0.992412
51	0.00722349	0.014447	0.992777
52	0.00733759	0.0146752	0.992662
53	0.00829274	0.0165855	0.991707
54	0.014698	0.0293961	0.985302
55	0.0354698	0.0709397	0.96453
56	0.0292165	0.058433	0.970783
57	0.105126	0.210253	0.894874
58	0.101451	0.202902	0.898549
59	0.0839976	0.167995	0.916002
60	0.0921441	0.184288	0.907856
61	0.104465	0.20893	0.895535
62	0.0914565	0.182913	0.908543
63	0.193038	0.386075	0.806962
64	0.227611	0.455223	0.772389
65	0.246406	0.492812	0.753594
66	0.218372	0.436744	0.781628
67	0.217552	0.435104	0.782448
68	0.200971	0.401942	0.799029
69	0.205948	0.411895	0.794052
70	0.187234	0.374468	0.812766
71	0.17624	0.35248	0.82376
72	0.159073	0.318147	0.840927
73	0.147241	0.294482	0.852759
74	0.166803	0.333606	0.833197
75	0.146253	0.292506	0.853747
76	0.131114	0.262228	0.868886
77	0.117121	0.234241	0.882879
78	0.125191	0.250383	0.874809
79	0.1065	0.213	0.8935
80	0.127751	0.255502	0.872249
81	0.109917	0.219834	0.890083
82	0.128453	0.256906	0.871547
83	0.111459	0.222918	0.888541
84	0.198253	0.396506	0.801747
85	0.183012	0.366024	0.816988
86	0.163558	0.327117	0.836442
87	0.146952	0.293905	0.853048
88	0.128847	0.257694	0.871153
89	0.125464	0.250929	0.874536
90	0.127709	0.255418	0.872291
91	0.137251	0.274502	0.862749
92	0.227085	0.454171	0.772915
93	0.22767	0.455341	0.77233
94	0.228293	0.456586	0.771707
95	0.244092	0.488185	0.755908
96	0.241425	0.48285	0.758575
97	0.315745	0.63149	0.684255
98	0.310571	0.621142	0.689429
99	0.33986	0.679719	0.66014
100	0.391672	0.783344	0.608328
101	0.370311	0.740622	0.629689
102	0.356114	0.712227	0.643886
103	0.348404	0.696808	0.651596
104	0.354871	0.709742	0.645129
105	0.388003	0.776005	0.611997
106	0.406596	0.813192	0.593404
107	0.422149	0.844297	0.577851
108	0.639967	0.720067	0.360033
109	0.690969	0.618062	0.309031
110	0.709059	0.581881	0.290941
111	0.714085	0.57183	0.285915
112	0.697859	0.604282	0.302141
113	0.773076	0.453849	0.226924
114	0.759724	0.480552	0.240276
115	0.870169	0.259661	0.129831
116	0.915615	0.16877	0.0843851
117	0.905076	0.189849	0.0949245
118	0.93939	0.12122	0.0606102
119	0.936044	0.127912	0.0639559
120	0.947833	0.104333	0.0521667
121	0.952772	0.0944553	0.0472277
122	0.95874	0.0825198	0.0412599
123	0.955864	0.0882713	0.0441356
124	0.977957	0.0440865	0.0220432
125	0.980071	0.0398577	0.0199289
126	0.97683	0.0463408	0.0231704
127	0.976892	0.046217	0.0231085
128	0.972832	0.0543353	0.0271677
129	0.973183	0.0536334	0.0268167
130	0.971817	0.056365	0.0281825
131	0.97219	0.0556195	0.0278098
132	0.970194	0.0596119	0.0298059
133	0.973395	0.0532104	0.0266052
134	0.970047	0.0599062	0.0299531
135	0.964421	0.0711587	0.0355793
136	0.957967	0.0840656	0.0420328
137	0.970544	0.058911	0.0294555
138	0.968388	0.0632244	0.0316122
139	0.964508	0.0709832	0.0354916
140	0.95737	0.0852594	0.0426297
141	0.94969	0.100621	0.0503105
142	0.97733	0.0453399	0.0226699
143	0.976983	0.0460349	0.0230174
144	0.978302	0.0433962	0.0216981
145	0.975026	0.0499472	0.0249736
146	0.975002	0.049996	0.024998
147	0.972591	0.0548183	0.0274092
148	0.968411	0.0631775	0.0315887
149	0.963629	0.0727419	0.036371
150	0.961893	0.0762135	0.0381068
151	0.986008	0.0279848	0.0139924
152	0.984285	0.0314296	0.0157148
153	0.984768	0.0304644	0.0152322
154	0.981277	0.0374451	0.0187226
155	0.981361	0.0372787	0.0186393
156	0.977443	0.045113	0.0225565
157	0.975811	0.0483779	0.0241889
158	0.971288	0.0574235	0.0287118
159	0.97303	0.0539402	0.0269701
160	0.968803	0.0623937	0.0311969
161	0.975524	0.0489525	0.0244762
162	0.972462	0.0550757	0.0275378
163	0.973589	0.0528224	0.0264112
164	0.994668	0.0106642	0.00533209
165	0.99462	0.0107593	0.00537965
166	0.993312	0.013375	0.00668751
167	0.992712	0.0145767	0.00728836
168	0.995141	0.00971825	0.00485912
169	0.993663	0.012674	0.006337
170	0.994328	0.0113437	0.00567183
171	0.993507	0.0129852	0.00649259
172	0.99496	0.0100798	0.00503992
173	0.994033	0.0119347	0.00596735
174	0.992248	0.0155042	0.00775211
175	0.99	0.0200001	0.01
176	0.993232	0.0135363	0.00676815
177	0.991978	0.0160448	0.00802239
178	0.991947	0.0161053	0.00805266
179	0.990739	0.0185221	0.00926107
180	0.99374	0.0125204	0.00626019
181	0.994313	0.0113749	0.00568746
182	0.993927	0.0121463	0.00607315
183	0.993635	0.0127296	0.00636481
184	0.992081	0.0158383	0.00791915
185	0.99048	0.0190402	0.00952012
186	0.988111	0.0237776	0.0118888
187	0.991434	0.0171321	0.00856603
188	0.990407	0.0191861	0.00959307
189	0.989035	0.0219302	0.0109651
190	0.987062	0.0258762	0.0129381
191	0.984042	0.031916	0.015958
192	0.983098	0.0338038	0.0169019
193	0.981393	0.0372145	0.0186073
194	0.987723	0.0245537	0.0122768
195	0.984539	0.030922	0.015461
196	0.983963	0.0320737	0.0160368
197	0.985097	0.0298059	0.0149029
198	0.980951	0.0380977	0.0190488
199	0.978788	0.042424	0.021212
200	0.975763	0.0484741	0.0242371
201	0.969311	0.061378	0.030689
202	0.965452	0.0690966	0.0345483
203	0.96613	0.0677394	0.0338697
204	0.957998	0.0840039	0.042002
205	0.948933	0.102135	0.0510673
206	0.952316	0.0953685	0.0476843
207	0.942875	0.114251	0.0571253
208	0.938797	0.122406	0.061203
209	0.936393	0.127215	0.0636073
210	0.931114	0.137771	0.0688857
211	0.917836	0.164328	0.0821642
212	0.901956	0.196088	0.098044
213	0.918318	0.163364	0.0816821
214	0.905396	0.189207	0.0946036
215	0.902452	0.195097	0.0975484
216	0.882436	0.235128	0.117564
217	0.891551	0.216899	0.108449
218	0.886076	0.227848	0.113924
219	0.863406	0.273188	0.136594
220	0.840489	0.319022	0.159511
221	0.825835	0.34833	0.174165
222	0.854212	0.291577	0.145788
223	0.82636	0.34728	0.17364
224	0.863339	0.273322	0.136661
225	0.849933	0.300133	0.150067
226	0.881403	0.237193	0.118597
227	0.884418	0.231165	0.115582
228	0.892252	0.215496	0.107748
229	0.888821	0.222359	0.111179
230	0.897913	0.204174	0.102087
231	0.915709	0.168582	0.084291
232	0.893329	0.213342	0.106671
233	0.878083	0.243833	0.121917
234	0.853109	0.293783	0.146891
235	0.821992	0.356015	0.178008
236	0.944036	0.111929	0.0559644
237	0.936027	0.127947	0.0639734
238	0.919281	0.161437	0.0807185
239	0.896214	0.207572	0.103786
240	0.867366	0.265268	0.132634
241	0.88501	0.229981	0.11499
242	0.852145	0.295711	0.147855
243	0.840483	0.319033	0.159517
244	0.811315	0.37737	0.188685
245	0.76459	0.470819	0.23541
246	0.726148	0.547703	0.273852
247	0.707534	0.584932	0.292466
248	0.74702	0.505959	0.25298
249	0.756589	0.486823	0.243411
250	0.706252	0.587497	0.293748
251	0.636102	0.727797	0.363898
252	0.627323	0.745354	0.372677
253	0.590636	0.818728	0.409364
254	0.512275	0.97545	0.487725
255	0.431191	0.862383	0.568809
256	0.366598	0.733196	0.633402
257	0.351247	0.702495	0.648753
258	0.96523	0.0695408	0.0347704
259	0.990629	0.0187421	0.00937107
260	0.993635	0.0127303	0.00636515
261	0.993568	0.0128632	0.00643162
262	0.980114	0.0397729	0.0198865
263	0.989429	0.0211414	0.0105707

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
15 & 0.175822 & 0.351643 & 0.824178 \tabularnewline
16 & 0.0877965 & 0.175593 & 0.912203 \tabularnewline
17 & 0.177927 & 0.355854 & 0.822073 \tabularnewline
18 & 0.120684 & 0.241368 & 0.879316 \tabularnewline
19 & 0.07181 & 0.14362 & 0.92819 \tabularnewline
20 & 0.0384691 & 0.0769381 & 0.961531 \tabularnewline
21 & 0.0234673 & 0.0469346 & 0.976533 \tabularnewline
22 & 0.0129479 & 0.0258958 & 0.987052 \tabularnewline
23 & 0.0257809 & 0.0515619 & 0.974219 \tabularnewline
24 & 0.0182745 & 0.0365491 & 0.981725 \tabularnewline
25 & 0.0116762 & 0.0233525 & 0.988324 \tabularnewline
26 & 0.00654363 & 0.0130873 & 0.993456 \tabularnewline
27 & 0.00347295 & 0.0069459 & 0.996527 \tabularnewline
28 & 0.00312575 & 0.0062515 & 0.996874 \tabularnewline
29 & 0.00163362 & 0.00326723 & 0.998366 \tabularnewline
30 & 0.00196515 & 0.0039303 & 0.998035 \tabularnewline
31 & 0.00256815 & 0.0051363 & 0.997432 \tabularnewline
32 & 0.00232187 & 0.00464374 & 0.997678 \tabularnewline
33 & 0.00133987 & 0.00267973 & 0.99866 \tabularnewline
34 & 0.000919002 & 0.001838 & 0.999081 \tabularnewline
35 & 0.000761897 & 0.00152379 & 0.999238 \tabularnewline
36 & 0.000608543 & 0.00121709 & 0.999391 \tabularnewline
37 & 0.000330398 & 0.000660796 & 0.99967 \tabularnewline
38 & 0.00133328 & 0.00266655 & 0.998667 \tabularnewline
39 & 0.00466933 & 0.00933865 & 0.995331 \tabularnewline
40 & 0.00307687 & 0.00615373 & 0.996923 \tabularnewline
41 & 0.00481344 & 0.00962688 & 0.995187 \tabularnewline
42 & 0.00426428 & 0.00852856 & 0.995736 \tabularnewline
43 & 0.00459864 & 0.00919727 & 0.995401 \tabularnewline
44 & 0.00315737 & 0.00631473 & 0.996843 \tabularnewline
45 & 0.00556024 & 0.0111205 & 0.99444 \tabularnewline
46 & 0.00426182 & 0.00852363 & 0.995738 \tabularnewline
47 & 0.00418729 & 0.00837458 & 0.995813 \tabularnewline
48 & 0.0033232 & 0.00664641 & 0.996677 \tabularnewline
49 & 0.00383642 & 0.00767285 & 0.996164 \tabularnewline
50 & 0.00758829 & 0.0151766 & 0.992412 \tabularnewline
51 & 0.00722349 & 0.014447 & 0.992777 \tabularnewline
52 & 0.00733759 & 0.0146752 & 0.992662 \tabularnewline
53 & 0.00829274 & 0.0165855 & 0.991707 \tabularnewline
54 & 0.014698 & 0.0293961 & 0.985302 \tabularnewline
55 & 0.0354698 & 0.0709397 & 0.96453 \tabularnewline
56 & 0.0292165 & 0.058433 & 0.970783 \tabularnewline
57 & 0.105126 & 0.210253 & 0.894874 \tabularnewline
58 & 0.101451 & 0.202902 & 0.898549 \tabularnewline
59 & 0.0839976 & 0.167995 & 0.916002 \tabularnewline
60 & 0.0921441 & 0.184288 & 0.907856 \tabularnewline
61 & 0.104465 & 0.20893 & 0.895535 \tabularnewline
62 & 0.0914565 & 0.182913 & 0.908543 \tabularnewline
63 & 0.193038 & 0.386075 & 0.806962 \tabularnewline
64 & 0.227611 & 0.455223 & 0.772389 \tabularnewline
65 & 0.246406 & 0.492812 & 0.753594 \tabularnewline
66 & 0.218372 & 0.436744 & 0.781628 \tabularnewline
67 & 0.217552 & 0.435104 & 0.782448 \tabularnewline
68 & 0.200971 & 0.401942 & 0.799029 \tabularnewline
69 & 0.205948 & 0.411895 & 0.794052 \tabularnewline
70 & 0.187234 & 0.374468 & 0.812766 \tabularnewline
71 & 0.17624 & 0.35248 & 0.82376 \tabularnewline
72 & 0.159073 & 0.318147 & 0.840927 \tabularnewline
73 & 0.147241 & 0.294482 & 0.852759 \tabularnewline
74 & 0.166803 & 0.333606 & 0.833197 \tabularnewline
75 & 0.146253 & 0.292506 & 0.853747 \tabularnewline
76 & 0.131114 & 0.262228 & 0.868886 \tabularnewline
77 & 0.117121 & 0.234241 & 0.882879 \tabularnewline
78 & 0.125191 & 0.250383 & 0.874809 \tabularnewline
79 & 0.1065 & 0.213 & 0.8935 \tabularnewline
80 & 0.127751 & 0.255502 & 0.872249 \tabularnewline
81 & 0.109917 & 0.219834 & 0.890083 \tabularnewline
82 & 0.128453 & 0.256906 & 0.871547 \tabularnewline
83 & 0.111459 & 0.222918 & 0.888541 \tabularnewline
84 & 0.198253 & 0.396506 & 0.801747 \tabularnewline
85 & 0.183012 & 0.366024 & 0.816988 \tabularnewline
86 & 0.163558 & 0.327117 & 0.836442 \tabularnewline
87 & 0.146952 & 0.293905 & 0.853048 \tabularnewline
88 & 0.128847 & 0.257694 & 0.871153 \tabularnewline
89 & 0.125464 & 0.250929 & 0.874536 \tabularnewline
90 & 0.127709 & 0.255418 & 0.872291 \tabularnewline
91 & 0.137251 & 0.274502 & 0.862749 \tabularnewline
92 & 0.227085 & 0.454171 & 0.772915 \tabularnewline
93 & 0.22767 & 0.455341 & 0.77233 \tabularnewline
94 & 0.228293 & 0.456586 & 0.771707 \tabularnewline
95 & 0.244092 & 0.488185 & 0.755908 \tabularnewline
96 & 0.241425 & 0.48285 & 0.758575 \tabularnewline
97 & 0.315745 & 0.63149 & 0.684255 \tabularnewline
98 & 0.310571 & 0.621142 & 0.689429 \tabularnewline
99 & 0.33986 & 0.679719 & 0.66014 \tabularnewline
100 & 0.391672 & 0.783344 & 0.608328 \tabularnewline
101 & 0.370311 & 0.740622 & 0.629689 \tabularnewline
102 & 0.356114 & 0.712227 & 0.643886 \tabularnewline
103 & 0.348404 & 0.696808 & 0.651596 \tabularnewline
104 & 0.354871 & 0.709742 & 0.645129 \tabularnewline
105 & 0.388003 & 0.776005 & 0.611997 \tabularnewline
106 & 0.406596 & 0.813192 & 0.593404 \tabularnewline
107 & 0.422149 & 0.844297 & 0.577851 \tabularnewline
108 & 0.639967 & 0.720067 & 0.360033 \tabularnewline
109 & 0.690969 & 0.618062 & 0.309031 \tabularnewline
110 & 0.709059 & 0.581881 & 0.290941 \tabularnewline
111 & 0.714085 & 0.57183 & 0.285915 \tabularnewline
112 & 0.697859 & 0.604282 & 0.302141 \tabularnewline
113 & 0.773076 & 0.453849 & 0.226924 \tabularnewline
114 & 0.759724 & 0.480552 & 0.240276 \tabularnewline
115 & 0.870169 & 0.259661 & 0.129831 \tabularnewline
116 & 0.915615 & 0.16877 & 0.0843851 \tabularnewline
117 & 0.905076 & 0.189849 & 0.0949245 \tabularnewline
118 & 0.93939 & 0.12122 & 0.0606102 \tabularnewline
119 & 0.936044 & 0.127912 & 0.0639559 \tabularnewline
120 & 0.947833 & 0.104333 & 0.0521667 \tabularnewline
121 & 0.952772 & 0.0944553 & 0.0472277 \tabularnewline
122 & 0.95874 & 0.0825198 & 0.0412599 \tabularnewline
123 & 0.955864 & 0.0882713 & 0.0441356 \tabularnewline
124 & 0.977957 & 0.0440865 & 0.0220432 \tabularnewline
125 & 0.980071 & 0.0398577 & 0.0199289 \tabularnewline
126 & 0.97683 & 0.0463408 & 0.0231704 \tabularnewline
127 & 0.976892 & 0.046217 & 0.0231085 \tabularnewline
128 & 0.972832 & 0.0543353 & 0.0271677 \tabularnewline
129 & 0.973183 & 0.0536334 & 0.0268167 \tabularnewline
130 & 0.971817 & 0.056365 & 0.0281825 \tabularnewline
131 & 0.97219 & 0.0556195 & 0.0278098 \tabularnewline
132 & 0.970194 & 0.0596119 & 0.0298059 \tabularnewline
133 & 0.973395 & 0.0532104 & 0.0266052 \tabularnewline
134 & 0.970047 & 0.0599062 & 0.0299531 \tabularnewline
135 & 0.964421 & 0.0711587 & 0.0355793 \tabularnewline
136 & 0.957967 & 0.0840656 & 0.0420328 \tabularnewline
137 & 0.970544 & 0.058911 & 0.0294555 \tabularnewline
138 & 0.968388 & 0.0632244 & 0.0316122 \tabularnewline
139 & 0.964508 & 0.0709832 & 0.0354916 \tabularnewline
140 & 0.95737 & 0.0852594 & 0.0426297 \tabularnewline
141 & 0.94969 & 0.100621 & 0.0503105 \tabularnewline
142 & 0.97733 & 0.0453399 & 0.0226699 \tabularnewline
143 & 0.976983 & 0.0460349 & 0.0230174 \tabularnewline
144 & 0.978302 & 0.0433962 & 0.0216981 \tabularnewline
145 & 0.975026 & 0.0499472 & 0.0249736 \tabularnewline
146 & 0.975002 & 0.049996 & 0.024998 \tabularnewline
147 & 0.972591 & 0.0548183 & 0.0274092 \tabularnewline
148 & 0.968411 & 0.0631775 & 0.0315887 \tabularnewline
149 & 0.963629 & 0.0727419 & 0.036371 \tabularnewline
150 & 0.961893 & 0.0762135 & 0.0381068 \tabularnewline
151 & 0.986008 & 0.0279848 & 0.0139924 \tabularnewline
152 & 0.984285 & 0.0314296 & 0.0157148 \tabularnewline
153 & 0.984768 & 0.0304644 & 0.0152322 \tabularnewline
154 & 0.981277 & 0.0374451 & 0.0187226 \tabularnewline
155 & 0.981361 & 0.0372787 & 0.0186393 \tabularnewline
156 & 0.977443 & 0.045113 & 0.0225565 \tabularnewline
157 & 0.975811 & 0.0483779 & 0.0241889 \tabularnewline
158 & 0.971288 & 0.0574235 & 0.0287118 \tabularnewline
159 & 0.97303 & 0.0539402 & 0.0269701 \tabularnewline
160 & 0.968803 & 0.0623937 & 0.0311969 \tabularnewline
161 & 0.975524 & 0.0489525 & 0.0244762 \tabularnewline
162 & 0.972462 & 0.0550757 & 0.0275378 \tabularnewline
163 & 0.973589 & 0.0528224 & 0.0264112 \tabularnewline
164 & 0.994668 & 0.0106642 & 0.00533209 \tabularnewline
165 & 0.99462 & 0.0107593 & 0.00537965 \tabularnewline
166 & 0.993312 & 0.013375 & 0.00668751 \tabularnewline
167 & 0.992712 & 0.0145767 & 0.00728836 \tabularnewline
168 & 0.995141 & 0.00971825 & 0.00485912 \tabularnewline
169 & 0.993663 & 0.012674 & 0.006337 \tabularnewline
170 & 0.994328 & 0.0113437 & 0.00567183 \tabularnewline
171 & 0.993507 & 0.0129852 & 0.00649259 \tabularnewline
172 & 0.99496 & 0.0100798 & 0.00503992 \tabularnewline
173 & 0.994033 & 0.0119347 & 0.00596735 \tabularnewline
174 & 0.992248 & 0.0155042 & 0.00775211 \tabularnewline
175 & 0.99 & 0.0200001 & 0.01 \tabularnewline
176 & 0.993232 & 0.0135363 & 0.00676815 \tabularnewline
177 & 0.991978 & 0.0160448 & 0.00802239 \tabularnewline
178 & 0.991947 & 0.0161053 & 0.00805266 \tabularnewline
179 & 0.990739 & 0.0185221 & 0.00926107 \tabularnewline
180 & 0.99374 & 0.0125204 & 0.00626019 \tabularnewline
181 & 0.994313 & 0.0113749 & 0.00568746 \tabularnewline
182 & 0.993927 & 0.0121463 & 0.00607315 \tabularnewline
183 & 0.993635 & 0.0127296 & 0.00636481 \tabularnewline
184 & 0.992081 & 0.0158383 & 0.00791915 \tabularnewline
185 & 0.99048 & 0.0190402 & 0.00952012 \tabularnewline
186 & 0.988111 & 0.0237776 & 0.0118888 \tabularnewline
187 & 0.991434 & 0.0171321 & 0.00856603 \tabularnewline
188 & 0.990407 & 0.0191861 & 0.00959307 \tabularnewline
189 & 0.989035 & 0.0219302 & 0.0109651 \tabularnewline
190 & 0.987062 & 0.0258762 & 0.0129381 \tabularnewline
191 & 0.984042 & 0.031916 & 0.015958 \tabularnewline
192 & 0.983098 & 0.0338038 & 0.0169019 \tabularnewline
193 & 0.981393 & 0.0372145 & 0.0186073 \tabularnewline
194 & 0.987723 & 0.0245537 & 0.0122768 \tabularnewline
195 & 0.984539 & 0.030922 & 0.015461 \tabularnewline
196 & 0.983963 & 0.0320737 & 0.0160368 \tabularnewline
197 & 0.985097 & 0.0298059 & 0.0149029 \tabularnewline
198 & 0.980951 & 0.0380977 & 0.0190488 \tabularnewline
199 & 0.978788 & 0.042424 & 0.021212 \tabularnewline
200 & 0.975763 & 0.0484741 & 0.0242371 \tabularnewline
201 & 0.969311 & 0.061378 & 0.030689 \tabularnewline
202 & 0.965452 & 0.0690966 & 0.0345483 \tabularnewline
203 & 0.96613 & 0.0677394 & 0.0338697 \tabularnewline
204 & 0.957998 & 0.0840039 & 0.042002 \tabularnewline
205 & 0.948933 & 0.102135 & 0.0510673 \tabularnewline
206 & 0.952316 & 0.0953685 & 0.0476843 \tabularnewline
207 & 0.942875 & 0.114251 & 0.0571253 \tabularnewline
208 & 0.938797 & 0.122406 & 0.061203 \tabularnewline
209 & 0.936393 & 0.127215 & 0.0636073 \tabularnewline
210 & 0.931114 & 0.137771 & 0.0688857 \tabularnewline
211 & 0.917836 & 0.164328 & 0.0821642 \tabularnewline
212 & 0.901956 & 0.196088 & 0.098044 \tabularnewline
213 & 0.918318 & 0.163364 & 0.0816821 \tabularnewline
214 & 0.905396 & 0.189207 & 0.0946036 \tabularnewline
215 & 0.902452 & 0.195097 & 0.0975484 \tabularnewline
216 & 0.882436 & 0.235128 & 0.117564 \tabularnewline
217 & 0.891551 & 0.216899 & 0.108449 \tabularnewline
218 & 0.886076 & 0.227848 & 0.113924 \tabularnewline
219 & 0.863406 & 0.273188 & 0.136594 \tabularnewline
220 & 0.840489 & 0.319022 & 0.159511 \tabularnewline
221 & 0.825835 & 0.34833 & 0.174165 \tabularnewline
222 & 0.854212 & 0.291577 & 0.145788 \tabularnewline
223 & 0.82636 & 0.34728 & 0.17364 \tabularnewline
224 & 0.863339 & 0.273322 & 0.136661 \tabularnewline
225 & 0.849933 & 0.300133 & 0.150067 \tabularnewline
226 & 0.881403 & 0.237193 & 0.118597 \tabularnewline
227 & 0.884418 & 0.231165 & 0.115582 \tabularnewline
228 & 0.892252 & 0.215496 & 0.107748 \tabularnewline
229 & 0.888821 & 0.222359 & 0.111179 \tabularnewline
230 & 0.897913 & 0.204174 & 0.102087 \tabularnewline
231 & 0.915709 & 0.168582 & 0.084291 \tabularnewline
232 & 0.893329 & 0.213342 & 0.106671 \tabularnewline
233 & 0.878083 & 0.243833 & 0.121917 \tabularnewline
234 & 0.853109 & 0.293783 & 0.146891 \tabularnewline
235 & 0.821992 & 0.356015 & 0.178008 \tabularnewline
236 & 0.944036 & 0.111929 & 0.0559644 \tabularnewline
237 & 0.936027 & 0.127947 & 0.0639734 \tabularnewline
238 & 0.919281 & 0.161437 & 0.0807185 \tabularnewline
239 & 0.896214 & 0.207572 & 0.103786 \tabularnewline
240 & 0.867366 & 0.265268 & 0.132634 \tabularnewline
241 & 0.88501 & 0.229981 & 0.11499 \tabularnewline
242 & 0.852145 & 0.295711 & 0.147855 \tabularnewline
243 & 0.840483 & 0.319033 & 0.159517 \tabularnewline
244 & 0.811315 & 0.37737 & 0.188685 \tabularnewline
245 & 0.76459 & 0.470819 & 0.23541 \tabularnewline
246 & 0.726148 & 0.547703 & 0.273852 \tabularnewline
247 & 0.707534 & 0.584932 & 0.292466 \tabularnewline
248 & 0.74702 & 0.505959 & 0.25298 \tabularnewline
249 & 0.756589 & 0.486823 & 0.243411 \tabularnewline
250 & 0.706252 & 0.587497 & 0.293748 \tabularnewline
251 & 0.636102 & 0.727797 & 0.363898 \tabularnewline
252 & 0.627323 & 0.745354 & 0.372677 \tabularnewline
253 & 0.590636 & 0.818728 & 0.409364 \tabularnewline
254 & 0.512275 & 0.97545 & 0.487725 \tabularnewline
255 & 0.431191 & 0.862383 & 0.568809 \tabularnewline
256 & 0.366598 & 0.733196 & 0.633402 \tabularnewline
257 & 0.351247 & 0.702495 & 0.648753 \tabularnewline
258 & 0.96523 & 0.0695408 & 0.0347704 \tabularnewline
259 & 0.990629 & 0.0187421 & 0.00937107 \tabularnewline
260 & 0.993635 & 0.0127303 & 0.00636515 \tabularnewline
261 & 0.993568 & 0.0128632 & 0.00643162 \tabularnewline
262 & 0.980114 & 0.0397729 & 0.0198865 \tabularnewline
263 & 0.989429 & 0.0211414 & 0.0105707 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266907&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]15[/C][C]0.175822[/C][C]0.351643[/C][C]0.824178[/C][/ROW]
[ROW][C]16[/C][C]0.0877965[/C][C]0.175593[/C][C]0.912203[/C][/ROW]
[ROW][C]17[/C][C]0.177927[/C][C]0.355854[/C][C]0.822073[/C][/ROW]
[ROW][C]18[/C][C]0.120684[/C][C]0.241368[/C][C]0.879316[/C][/ROW]
[ROW][C]19[/C][C]0.07181[/C][C]0.14362[/C][C]0.92819[/C][/ROW]
[ROW][C]20[/C][C]0.0384691[/C][C]0.0769381[/C][C]0.961531[/C][/ROW]
[ROW][C]21[/C][C]0.0234673[/C][C]0.0469346[/C][C]0.976533[/C][/ROW]
[ROW][C]22[/C][C]0.0129479[/C][C]0.0258958[/C][C]0.987052[/C][/ROW]
[ROW][C]23[/C][C]0.0257809[/C][C]0.0515619[/C][C]0.974219[/C][/ROW]
[ROW][C]24[/C][C]0.0182745[/C][C]0.0365491[/C][C]0.981725[/C][/ROW]
[ROW][C]25[/C][C]0.0116762[/C][C]0.0233525[/C][C]0.988324[/C][/ROW]
[ROW][C]26[/C][C]0.00654363[/C][C]0.0130873[/C][C]0.993456[/C][/ROW]
[ROW][C]27[/C][C]0.00347295[/C][C]0.0069459[/C][C]0.996527[/C][/ROW]
[ROW][C]28[/C][C]0.00312575[/C][C]0.0062515[/C][C]0.996874[/C][/ROW]
[ROW][C]29[/C][C]0.00163362[/C][C]0.00326723[/C][C]0.998366[/C][/ROW]
[ROW][C]30[/C][C]0.00196515[/C][C]0.0039303[/C][C]0.998035[/C][/ROW]
[ROW][C]31[/C][C]0.00256815[/C][C]0.0051363[/C][C]0.997432[/C][/ROW]
[ROW][C]32[/C][C]0.00232187[/C][C]0.00464374[/C][C]0.997678[/C][/ROW]
[ROW][C]33[/C][C]0.00133987[/C][C]0.00267973[/C][C]0.99866[/C][/ROW]
[ROW][C]34[/C][C]0.000919002[/C][C]0.001838[/C][C]0.999081[/C][/ROW]
[ROW][C]35[/C][C]0.000761897[/C][C]0.00152379[/C][C]0.999238[/C][/ROW]
[ROW][C]36[/C][C]0.000608543[/C][C]0.00121709[/C][C]0.999391[/C][/ROW]
[ROW][C]37[/C][C]0.000330398[/C][C]0.000660796[/C][C]0.99967[/C][/ROW]
[ROW][C]38[/C][C]0.00133328[/C][C]0.00266655[/C][C]0.998667[/C][/ROW]
[ROW][C]39[/C][C]0.00466933[/C][C]0.00933865[/C][C]0.995331[/C][/ROW]
[ROW][C]40[/C][C]0.00307687[/C][C]0.00615373[/C][C]0.996923[/C][/ROW]
[ROW][C]41[/C][C]0.00481344[/C][C]0.00962688[/C][C]0.995187[/C][/ROW]
[ROW][C]42[/C][C]0.00426428[/C][C]0.00852856[/C][C]0.995736[/C][/ROW]
[ROW][C]43[/C][C]0.00459864[/C][C]0.00919727[/C][C]0.995401[/C][/ROW]
[ROW][C]44[/C][C]0.00315737[/C][C]0.00631473[/C][C]0.996843[/C][/ROW]
[ROW][C]45[/C][C]0.00556024[/C][C]0.0111205[/C][C]0.99444[/C][/ROW]
[ROW][C]46[/C][C]0.00426182[/C][C]0.00852363[/C][C]0.995738[/C][/ROW]
[ROW][C]47[/C][C]0.00418729[/C][C]0.00837458[/C][C]0.995813[/C][/ROW]
[ROW][C]48[/C][C]0.0033232[/C][C]0.00664641[/C][C]0.996677[/C][/ROW]
[ROW][C]49[/C][C]0.00383642[/C][C]0.00767285[/C][C]0.996164[/C][/ROW]
[ROW][C]50[/C][C]0.00758829[/C][C]0.0151766[/C][C]0.992412[/C][/ROW]
[ROW][C]51[/C][C]0.00722349[/C][C]0.014447[/C][C]0.992777[/C][/ROW]
[ROW][C]52[/C][C]0.00733759[/C][C]0.0146752[/C][C]0.992662[/C][/ROW]
[ROW][C]53[/C][C]0.00829274[/C][C]0.0165855[/C][C]0.991707[/C][/ROW]
[ROW][C]54[/C][C]0.014698[/C][C]0.0293961[/C][C]0.985302[/C][/ROW]
[ROW][C]55[/C][C]0.0354698[/C][C]0.0709397[/C][C]0.96453[/C][/ROW]
[ROW][C]56[/C][C]0.0292165[/C][C]0.058433[/C][C]0.970783[/C][/ROW]
[ROW][C]57[/C][C]0.105126[/C][C]0.210253[/C][C]0.894874[/C][/ROW]
[ROW][C]58[/C][C]0.101451[/C][C]0.202902[/C][C]0.898549[/C][/ROW]
[ROW][C]59[/C][C]0.0839976[/C][C]0.167995[/C][C]0.916002[/C][/ROW]
[ROW][C]60[/C][C]0.0921441[/C][C]0.184288[/C][C]0.907856[/C][/ROW]
[ROW][C]61[/C][C]0.104465[/C][C]0.20893[/C][C]0.895535[/C][/ROW]
[ROW][C]62[/C][C]0.0914565[/C][C]0.182913[/C][C]0.908543[/C][/ROW]
[ROW][C]63[/C][C]0.193038[/C][C]0.386075[/C][C]0.806962[/C][/ROW]
[ROW][C]64[/C][C]0.227611[/C][C]0.455223[/C][C]0.772389[/C][/ROW]
[ROW][C]65[/C][C]0.246406[/C][C]0.492812[/C][C]0.753594[/C][/ROW]
[ROW][C]66[/C][C]0.218372[/C][C]0.436744[/C][C]0.781628[/C][/ROW]
[ROW][C]67[/C][C]0.217552[/C][C]0.435104[/C][C]0.782448[/C][/ROW]
[ROW][C]68[/C][C]0.200971[/C][C]0.401942[/C][C]0.799029[/C][/ROW]
[ROW][C]69[/C][C]0.205948[/C][C]0.411895[/C][C]0.794052[/C][/ROW]
[ROW][C]70[/C][C]0.187234[/C][C]0.374468[/C][C]0.812766[/C][/ROW]
[ROW][C]71[/C][C]0.17624[/C][C]0.35248[/C][C]0.82376[/C][/ROW]
[ROW][C]72[/C][C]0.159073[/C][C]0.318147[/C][C]0.840927[/C][/ROW]
[ROW][C]73[/C][C]0.147241[/C][C]0.294482[/C][C]0.852759[/C][/ROW]
[ROW][C]74[/C][C]0.166803[/C][C]0.333606[/C][C]0.833197[/C][/ROW]
[ROW][C]75[/C][C]0.146253[/C][C]0.292506[/C][C]0.853747[/C][/ROW]
[ROW][C]76[/C][C]0.131114[/C][C]0.262228[/C][C]0.868886[/C][/ROW]
[ROW][C]77[/C][C]0.117121[/C][C]0.234241[/C][C]0.882879[/C][/ROW]
[ROW][C]78[/C][C]0.125191[/C][C]0.250383[/C][C]0.874809[/C][/ROW]
[ROW][C]79[/C][C]0.1065[/C][C]0.213[/C][C]0.8935[/C][/ROW]
[ROW][C]80[/C][C]0.127751[/C][C]0.255502[/C][C]0.872249[/C][/ROW]
[ROW][C]81[/C][C]0.109917[/C][C]0.219834[/C][C]0.890083[/C][/ROW]
[ROW][C]82[/C][C]0.128453[/C][C]0.256906[/C][C]0.871547[/C][/ROW]
[ROW][C]83[/C][C]0.111459[/C][C]0.222918[/C][C]0.888541[/C][/ROW]
[ROW][C]84[/C][C]0.198253[/C][C]0.396506[/C][C]0.801747[/C][/ROW]
[ROW][C]85[/C][C]0.183012[/C][C]0.366024[/C][C]0.816988[/C][/ROW]
[ROW][C]86[/C][C]0.163558[/C][C]0.327117[/C][C]0.836442[/C][/ROW]
[ROW][C]87[/C][C]0.146952[/C][C]0.293905[/C][C]0.853048[/C][/ROW]
[ROW][C]88[/C][C]0.128847[/C][C]0.257694[/C][C]0.871153[/C][/ROW]
[ROW][C]89[/C][C]0.125464[/C][C]0.250929[/C][C]0.874536[/C][/ROW]
[ROW][C]90[/C][C]0.127709[/C][C]0.255418[/C][C]0.872291[/C][/ROW]
[ROW][C]91[/C][C]0.137251[/C][C]0.274502[/C][C]0.862749[/C][/ROW]
[ROW][C]92[/C][C]0.227085[/C][C]0.454171[/C][C]0.772915[/C][/ROW]
[ROW][C]93[/C][C]0.22767[/C][C]0.455341[/C][C]0.77233[/C][/ROW]
[ROW][C]94[/C][C]0.228293[/C][C]0.456586[/C][C]0.771707[/C][/ROW]
[ROW][C]95[/C][C]0.244092[/C][C]0.488185[/C][C]0.755908[/C][/ROW]
[ROW][C]96[/C][C]0.241425[/C][C]0.48285[/C][C]0.758575[/C][/ROW]
[ROW][C]97[/C][C]0.315745[/C][C]0.63149[/C][C]0.684255[/C][/ROW]
[ROW][C]98[/C][C]0.310571[/C][C]0.621142[/C][C]0.689429[/C][/ROW]
[ROW][C]99[/C][C]0.33986[/C][C]0.679719[/C][C]0.66014[/C][/ROW]
[ROW][C]100[/C][C]0.391672[/C][C]0.783344[/C][C]0.608328[/C][/ROW]
[ROW][C]101[/C][C]0.370311[/C][C]0.740622[/C][C]0.629689[/C][/ROW]
[ROW][C]102[/C][C]0.356114[/C][C]0.712227[/C][C]0.643886[/C][/ROW]
[ROW][C]103[/C][C]0.348404[/C][C]0.696808[/C][C]0.651596[/C][/ROW]
[ROW][C]104[/C][C]0.354871[/C][C]0.709742[/C][C]0.645129[/C][/ROW]
[ROW][C]105[/C][C]0.388003[/C][C]0.776005[/C][C]0.611997[/C][/ROW]
[ROW][C]106[/C][C]0.406596[/C][C]0.813192[/C][C]0.593404[/C][/ROW]
[ROW][C]107[/C][C]0.422149[/C][C]0.844297[/C][C]0.577851[/C][/ROW]
[ROW][C]108[/C][C]0.639967[/C][C]0.720067[/C][C]0.360033[/C][/ROW]
[ROW][C]109[/C][C]0.690969[/C][C]0.618062[/C][C]0.309031[/C][/ROW]
[ROW][C]110[/C][C]0.709059[/C][C]0.581881[/C][C]0.290941[/C][/ROW]
[ROW][C]111[/C][C]0.714085[/C][C]0.57183[/C][C]0.285915[/C][/ROW]
[ROW][C]112[/C][C]0.697859[/C][C]0.604282[/C][C]0.302141[/C][/ROW]
[ROW][C]113[/C][C]0.773076[/C][C]0.453849[/C][C]0.226924[/C][/ROW]
[ROW][C]114[/C][C]0.759724[/C][C]0.480552[/C][C]0.240276[/C][/ROW]
[ROW][C]115[/C][C]0.870169[/C][C]0.259661[/C][C]0.129831[/C][/ROW]
[ROW][C]116[/C][C]0.915615[/C][C]0.16877[/C][C]0.0843851[/C][/ROW]
[ROW][C]117[/C][C]0.905076[/C][C]0.189849[/C][C]0.0949245[/C][/ROW]
[ROW][C]118[/C][C]0.93939[/C][C]0.12122[/C][C]0.0606102[/C][/ROW]
[ROW][C]119[/C][C]0.936044[/C][C]0.127912[/C][C]0.0639559[/C][/ROW]
[ROW][C]120[/C][C]0.947833[/C][C]0.104333[/C][C]0.0521667[/C][/ROW]
[ROW][C]121[/C][C]0.952772[/C][C]0.0944553[/C][C]0.0472277[/C][/ROW]
[ROW][C]122[/C][C]0.95874[/C][C]0.0825198[/C][C]0.0412599[/C][/ROW]
[ROW][C]123[/C][C]0.955864[/C][C]0.0882713[/C][C]0.0441356[/C][/ROW]
[ROW][C]124[/C][C]0.977957[/C][C]0.0440865[/C][C]0.0220432[/C][/ROW]
[ROW][C]125[/C][C]0.980071[/C][C]0.0398577[/C][C]0.0199289[/C][/ROW]
[ROW][C]126[/C][C]0.97683[/C][C]0.0463408[/C][C]0.0231704[/C][/ROW]
[ROW][C]127[/C][C]0.976892[/C][C]0.046217[/C][C]0.0231085[/C][/ROW]
[ROW][C]128[/C][C]0.972832[/C][C]0.0543353[/C][C]0.0271677[/C][/ROW]
[ROW][C]129[/C][C]0.973183[/C][C]0.0536334[/C][C]0.0268167[/C][/ROW]
[ROW][C]130[/C][C]0.971817[/C][C]0.056365[/C][C]0.0281825[/C][/ROW]
[ROW][C]131[/C][C]0.97219[/C][C]0.0556195[/C][C]0.0278098[/C][/ROW]
[ROW][C]132[/C][C]0.970194[/C][C]0.0596119[/C][C]0.0298059[/C][/ROW]
[ROW][C]133[/C][C]0.973395[/C][C]0.0532104[/C][C]0.0266052[/C][/ROW]
[ROW][C]134[/C][C]0.970047[/C][C]0.0599062[/C][C]0.0299531[/C][/ROW]
[ROW][C]135[/C][C]0.964421[/C][C]0.0711587[/C][C]0.0355793[/C][/ROW]
[ROW][C]136[/C][C]0.957967[/C][C]0.0840656[/C][C]0.0420328[/C][/ROW]
[ROW][C]137[/C][C]0.970544[/C][C]0.058911[/C][C]0.0294555[/C][/ROW]
[ROW][C]138[/C][C]0.968388[/C][C]0.0632244[/C][C]0.0316122[/C][/ROW]
[ROW][C]139[/C][C]0.964508[/C][C]0.0709832[/C][C]0.0354916[/C][/ROW]
[ROW][C]140[/C][C]0.95737[/C][C]0.0852594[/C][C]0.0426297[/C][/ROW]
[ROW][C]141[/C][C]0.94969[/C][C]0.100621[/C][C]0.0503105[/C][/ROW]
[ROW][C]142[/C][C]0.97733[/C][C]0.0453399[/C][C]0.0226699[/C][/ROW]
[ROW][C]143[/C][C]0.976983[/C][C]0.0460349[/C][C]0.0230174[/C][/ROW]
[ROW][C]144[/C][C]0.978302[/C][C]0.0433962[/C][C]0.0216981[/C][/ROW]
[ROW][C]145[/C][C]0.975026[/C][C]0.0499472[/C][C]0.0249736[/C][/ROW]
[ROW][C]146[/C][C]0.975002[/C][C]0.049996[/C][C]0.024998[/C][/ROW]
[ROW][C]147[/C][C]0.972591[/C][C]0.0548183[/C][C]0.0274092[/C][/ROW]
[ROW][C]148[/C][C]0.968411[/C][C]0.0631775[/C][C]0.0315887[/C][/ROW]
[ROW][C]149[/C][C]0.963629[/C][C]0.0727419[/C][C]0.036371[/C][/ROW]
[ROW][C]150[/C][C]0.961893[/C][C]0.0762135[/C][C]0.0381068[/C][/ROW]
[ROW][C]151[/C][C]0.986008[/C][C]0.0279848[/C][C]0.0139924[/C][/ROW]
[ROW][C]152[/C][C]0.984285[/C][C]0.0314296[/C][C]0.0157148[/C][/ROW]
[ROW][C]153[/C][C]0.984768[/C][C]0.0304644[/C][C]0.0152322[/C][/ROW]
[ROW][C]154[/C][C]0.981277[/C][C]0.0374451[/C][C]0.0187226[/C][/ROW]
[ROW][C]155[/C][C]0.981361[/C][C]0.0372787[/C][C]0.0186393[/C][/ROW]
[ROW][C]156[/C][C]0.977443[/C][C]0.045113[/C][C]0.0225565[/C][/ROW]
[ROW][C]157[/C][C]0.975811[/C][C]0.0483779[/C][C]0.0241889[/C][/ROW]
[ROW][C]158[/C][C]0.971288[/C][C]0.0574235[/C][C]0.0287118[/C][/ROW]
[ROW][C]159[/C][C]0.97303[/C][C]0.0539402[/C][C]0.0269701[/C][/ROW]
[ROW][C]160[/C][C]0.968803[/C][C]0.0623937[/C][C]0.0311969[/C][/ROW]
[ROW][C]161[/C][C]0.975524[/C][C]0.0489525[/C][C]0.0244762[/C][/ROW]
[ROW][C]162[/C][C]0.972462[/C][C]0.0550757[/C][C]0.0275378[/C][/ROW]
[ROW][C]163[/C][C]0.973589[/C][C]0.0528224[/C][C]0.0264112[/C][/ROW]
[ROW][C]164[/C][C]0.994668[/C][C]0.0106642[/C][C]0.00533209[/C][/ROW]
[ROW][C]165[/C][C]0.99462[/C][C]0.0107593[/C][C]0.00537965[/C][/ROW]
[ROW][C]166[/C][C]0.993312[/C][C]0.013375[/C][C]0.00668751[/C][/ROW]
[ROW][C]167[/C][C]0.992712[/C][C]0.0145767[/C][C]0.00728836[/C][/ROW]
[ROW][C]168[/C][C]0.995141[/C][C]0.00971825[/C][C]0.00485912[/C][/ROW]
[ROW][C]169[/C][C]0.993663[/C][C]0.012674[/C][C]0.006337[/C][/ROW]
[ROW][C]170[/C][C]0.994328[/C][C]0.0113437[/C][C]0.00567183[/C][/ROW]
[ROW][C]171[/C][C]0.993507[/C][C]0.0129852[/C][C]0.00649259[/C][/ROW]
[ROW][C]172[/C][C]0.99496[/C][C]0.0100798[/C][C]0.00503992[/C][/ROW]
[ROW][C]173[/C][C]0.994033[/C][C]0.0119347[/C][C]0.00596735[/C][/ROW]
[ROW][C]174[/C][C]0.992248[/C][C]0.0155042[/C][C]0.00775211[/C][/ROW]
[ROW][C]175[/C][C]0.99[/C][C]0.0200001[/C][C]0.01[/C][/ROW]
[ROW][C]176[/C][C]0.993232[/C][C]0.0135363[/C][C]0.00676815[/C][/ROW]
[ROW][C]177[/C][C]0.991978[/C][C]0.0160448[/C][C]0.00802239[/C][/ROW]
[ROW][C]178[/C][C]0.991947[/C][C]0.0161053[/C][C]0.00805266[/C][/ROW]
[ROW][C]179[/C][C]0.990739[/C][C]0.0185221[/C][C]0.00926107[/C][/ROW]
[ROW][C]180[/C][C]0.99374[/C][C]0.0125204[/C][C]0.00626019[/C][/ROW]
[ROW][C]181[/C][C]0.994313[/C][C]0.0113749[/C][C]0.00568746[/C][/ROW]
[ROW][C]182[/C][C]0.993927[/C][C]0.0121463[/C][C]0.00607315[/C][/ROW]
[ROW][C]183[/C][C]0.993635[/C][C]0.0127296[/C][C]0.00636481[/C][/ROW]
[ROW][C]184[/C][C]0.992081[/C][C]0.0158383[/C][C]0.00791915[/C][/ROW]
[ROW][C]185[/C][C]0.99048[/C][C]0.0190402[/C][C]0.00952012[/C][/ROW]
[ROW][C]186[/C][C]0.988111[/C][C]0.0237776[/C][C]0.0118888[/C][/ROW]
[ROW][C]187[/C][C]0.991434[/C][C]0.0171321[/C][C]0.00856603[/C][/ROW]
[ROW][C]188[/C][C]0.990407[/C][C]0.0191861[/C][C]0.00959307[/C][/ROW]
[ROW][C]189[/C][C]0.989035[/C][C]0.0219302[/C][C]0.0109651[/C][/ROW]
[ROW][C]190[/C][C]0.987062[/C][C]0.0258762[/C][C]0.0129381[/C][/ROW]
[ROW][C]191[/C][C]0.984042[/C][C]0.031916[/C][C]0.015958[/C][/ROW]
[ROW][C]192[/C][C]0.983098[/C][C]0.0338038[/C][C]0.0169019[/C][/ROW]
[ROW][C]193[/C][C]0.981393[/C][C]0.0372145[/C][C]0.0186073[/C][/ROW]
[ROW][C]194[/C][C]0.987723[/C][C]0.0245537[/C][C]0.0122768[/C][/ROW]
[ROW][C]195[/C][C]0.984539[/C][C]0.030922[/C][C]0.015461[/C][/ROW]
[ROW][C]196[/C][C]0.983963[/C][C]0.0320737[/C][C]0.0160368[/C][/ROW]
[ROW][C]197[/C][C]0.985097[/C][C]0.0298059[/C][C]0.0149029[/C][/ROW]
[ROW][C]198[/C][C]0.980951[/C][C]0.0380977[/C][C]0.0190488[/C][/ROW]
[ROW][C]199[/C][C]0.978788[/C][C]0.042424[/C][C]0.021212[/C][/ROW]
[ROW][C]200[/C][C]0.975763[/C][C]0.0484741[/C][C]0.0242371[/C][/ROW]
[ROW][C]201[/C][C]0.969311[/C][C]0.061378[/C][C]0.030689[/C][/ROW]
[ROW][C]202[/C][C]0.965452[/C][C]0.0690966[/C][C]0.0345483[/C][/ROW]
[ROW][C]203[/C][C]0.96613[/C][C]0.0677394[/C][C]0.0338697[/C][/ROW]
[ROW][C]204[/C][C]0.957998[/C][C]0.0840039[/C][C]0.042002[/C][/ROW]
[ROW][C]205[/C][C]0.948933[/C][C]0.102135[/C][C]0.0510673[/C][/ROW]
[ROW][C]206[/C][C]0.952316[/C][C]0.0953685[/C][C]0.0476843[/C][/ROW]
[ROW][C]207[/C][C]0.942875[/C][C]0.114251[/C][C]0.0571253[/C][/ROW]
[ROW][C]208[/C][C]0.938797[/C][C]0.122406[/C][C]0.061203[/C][/ROW]
[ROW][C]209[/C][C]0.936393[/C][C]0.127215[/C][C]0.0636073[/C][/ROW]
[ROW][C]210[/C][C]0.931114[/C][C]0.137771[/C][C]0.0688857[/C][/ROW]
[ROW][C]211[/C][C]0.917836[/C][C]0.164328[/C][C]0.0821642[/C][/ROW]
[ROW][C]212[/C][C]0.901956[/C][C]0.196088[/C][C]0.098044[/C][/ROW]
[ROW][C]213[/C][C]0.918318[/C][C]0.163364[/C][C]0.0816821[/C][/ROW]
[ROW][C]214[/C][C]0.905396[/C][C]0.189207[/C][C]0.0946036[/C][/ROW]
[ROW][C]215[/C][C]0.902452[/C][C]0.195097[/C][C]0.0975484[/C][/ROW]
[ROW][C]216[/C][C]0.882436[/C][C]0.235128[/C][C]0.117564[/C][/ROW]
[ROW][C]217[/C][C]0.891551[/C][C]0.216899[/C][C]0.108449[/C][/ROW]
[ROW][C]218[/C][C]0.886076[/C][C]0.227848[/C][C]0.113924[/C][/ROW]
[ROW][C]219[/C][C]0.863406[/C][C]0.273188[/C][C]0.136594[/C][/ROW]
[ROW][C]220[/C][C]0.840489[/C][C]0.319022[/C][C]0.159511[/C][/ROW]
[ROW][C]221[/C][C]0.825835[/C][C]0.34833[/C][C]0.174165[/C][/ROW]
[ROW][C]222[/C][C]0.854212[/C][C]0.291577[/C][C]0.145788[/C][/ROW]
[ROW][C]223[/C][C]0.82636[/C][C]0.34728[/C][C]0.17364[/C][/ROW]
[ROW][C]224[/C][C]0.863339[/C][C]0.273322[/C][C]0.136661[/C][/ROW]
[ROW][C]225[/C][C]0.849933[/C][C]0.300133[/C][C]0.150067[/C][/ROW]
[ROW][C]226[/C][C]0.881403[/C][C]0.237193[/C][C]0.118597[/C][/ROW]
[ROW][C]227[/C][C]0.884418[/C][C]0.231165[/C][C]0.115582[/C][/ROW]
[ROW][C]228[/C][C]0.892252[/C][C]0.215496[/C][C]0.107748[/C][/ROW]
[ROW][C]229[/C][C]0.888821[/C][C]0.222359[/C][C]0.111179[/C][/ROW]
[ROW][C]230[/C][C]0.897913[/C][C]0.204174[/C][C]0.102087[/C][/ROW]
[ROW][C]231[/C][C]0.915709[/C][C]0.168582[/C][C]0.084291[/C][/ROW]
[ROW][C]232[/C][C]0.893329[/C][C]0.213342[/C][C]0.106671[/C][/ROW]
[ROW][C]233[/C][C]0.878083[/C][C]0.243833[/C][C]0.121917[/C][/ROW]
[ROW][C]234[/C][C]0.853109[/C][C]0.293783[/C][C]0.146891[/C][/ROW]
[ROW][C]235[/C][C]0.821992[/C][C]0.356015[/C][C]0.178008[/C][/ROW]
[ROW][C]236[/C][C]0.944036[/C][C]0.111929[/C][C]0.0559644[/C][/ROW]
[ROW][C]237[/C][C]0.936027[/C][C]0.127947[/C][C]0.0639734[/C][/ROW]
[ROW][C]238[/C][C]0.919281[/C][C]0.161437[/C][C]0.0807185[/C][/ROW]
[ROW][C]239[/C][C]0.896214[/C][C]0.207572[/C][C]0.103786[/C][/ROW]
[ROW][C]240[/C][C]0.867366[/C][C]0.265268[/C][C]0.132634[/C][/ROW]
[ROW][C]241[/C][C]0.88501[/C][C]0.229981[/C][C]0.11499[/C][/ROW]
[ROW][C]242[/C][C]0.852145[/C][C]0.295711[/C][C]0.147855[/C][/ROW]
[ROW][C]243[/C][C]0.840483[/C][C]0.319033[/C][C]0.159517[/C][/ROW]
[ROW][C]244[/C][C]0.811315[/C][C]0.37737[/C][C]0.188685[/C][/ROW]
[ROW][C]245[/C][C]0.76459[/C][C]0.470819[/C][C]0.23541[/C][/ROW]
[ROW][C]246[/C][C]0.726148[/C][C]0.547703[/C][C]0.273852[/C][/ROW]
[ROW][C]247[/C][C]0.707534[/C][C]0.584932[/C][C]0.292466[/C][/ROW]
[ROW][C]248[/C][C]0.74702[/C][C]0.505959[/C][C]0.25298[/C][/ROW]
[ROW][C]249[/C][C]0.756589[/C][C]0.486823[/C][C]0.243411[/C][/ROW]
[ROW][C]250[/C][C]0.706252[/C][C]0.587497[/C][C]0.293748[/C][/ROW]
[ROW][C]251[/C][C]0.636102[/C][C]0.727797[/C][C]0.363898[/C][/ROW]
[ROW][C]252[/C][C]0.627323[/C][C]0.745354[/C][C]0.372677[/C][/ROW]
[ROW][C]253[/C][C]0.590636[/C][C]0.818728[/C][C]0.409364[/C][/ROW]
[ROW][C]254[/C][C]0.512275[/C][C]0.97545[/C][C]0.487725[/C][/ROW]
[ROW][C]255[/C][C]0.431191[/C][C]0.862383[/C][C]0.568809[/C][/ROW]
[ROW][C]256[/C][C]0.366598[/C][C]0.733196[/C][C]0.633402[/C][/ROW]
[ROW][C]257[/C][C]0.351247[/C][C]0.702495[/C][C]0.648753[/C][/ROW]
[ROW][C]258[/C][C]0.96523[/C][C]0.0695408[/C][C]0.0347704[/C][/ROW]
[ROW][C]259[/C][C]0.990629[/C][C]0.0187421[/C][C]0.00937107[/C][/ROW]
[ROW][C]260[/C][C]0.993635[/C][C]0.0127303[/C][C]0.00636515[/C][/ROW]
[ROW][C]261[/C][C]0.993568[/C][C]0.0128632[/C][C]0.00643162[/C][/ROW]
[ROW][C]262[/C][C]0.980114[/C][C]0.0397729[/C][C]0.0198865[/C][/ROW]
[ROW][C]263[/C][C]0.989429[/C][C]0.0211414[/C][C]0.0105707[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266907&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266907&T=5

As an alternative you can also use a QR Code:

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

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
15	0.175822	0.351643	0.824178
16	0.0877965	0.175593	0.912203
17	0.177927	0.355854	0.822073
18	0.120684	0.241368	0.879316
19	0.07181	0.14362	0.92819
20	0.0384691	0.0769381	0.961531
21	0.0234673	0.0469346	0.976533
22	0.0129479	0.0258958	0.987052
23	0.0257809	0.0515619	0.974219
24	0.0182745	0.0365491	0.981725
25	0.0116762	0.0233525	0.988324
26	0.00654363	0.0130873	0.993456
27	0.00347295	0.0069459	0.996527
28	0.00312575	0.0062515	0.996874
29	0.00163362	0.00326723	0.998366
30	0.00196515	0.0039303	0.998035
31	0.00256815	0.0051363	0.997432
32	0.00232187	0.00464374	0.997678
33	0.00133987	0.00267973	0.99866
34	0.000919002	0.001838	0.999081
35	0.000761897	0.00152379	0.999238
36	0.000608543	0.00121709	0.999391
37	0.000330398	0.000660796	0.99967
38	0.00133328	0.00266655	0.998667
39	0.00466933	0.00933865	0.995331
40	0.00307687	0.00615373	0.996923
41	0.00481344	0.00962688	0.995187
42	0.00426428	0.00852856	0.995736
43	0.00459864	0.00919727	0.995401
44	0.00315737	0.00631473	0.996843
45	0.00556024	0.0111205	0.99444
46	0.00426182	0.00852363	0.995738
47	0.00418729	0.00837458	0.995813
48	0.0033232	0.00664641	0.996677
49	0.00383642	0.00767285	0.996164
50	0.00758829	0.0151766	0.992412
51	0.00722349	0.014447	0.992777
52	0.00733759	0.0146752	0.992662
53	0.00829274	0.0165855	0.991707
54	0.014698	0.0293961	0.985302
55	0.0354698	0.0709397	0.96453
56	0.0292165	0.058433	0.970783
57	0.105126	0.210253	0.894874
58	0.101451	0.202902	0.898549
59	0.0839976	0.167995	0.916002
60	0.0921441	0.184288	0.907856
61	0.104465	0.20893	0.895535
62	0.0914565	0.182913	0.908543
63	0.193038	0.386075	0.806962
64	0.227611	0.455223	0.772389
65	0.246406	0.492812	0.753594
66	0.218372	0.436744	0.781628
67	0.217552	0.435104	0.782448
68	0.200971	0.401942	0.799029
69	0.205948	0.411895	0.794052
70	0.187234	0.374468	0.812766
71	0.17624	0.35248	0.82376
72	0.159073	0.318147	0.840927
73	0.147241	0.294482	0.852759
74	0.166803	0.333606	0.833197
75	0.146253	0.292506	0.853747
76	0.131114	0.262228	0.868886
77	0.117121	0.234241	0.882879
78	0.125191	0.250383	0.874809
79	0.1065	0.213	0.8935
80	0.127751	0.255502	0.872249
81	0.109917	0.219834	0.890083
82	0.128453	0.256906	0.871547
83	0.111459	0.222918	0.888541
84	0.198253	0.396506	0.801747
85	0.183012	0.366024	0.816988
86	0.163558	0.327117	0.836442
87	0.146952	0.293905	0.853048
88	0.128847	0.257694	0.871153
89	0.125464	0.250929	0.874536
90	0.127709	0.255418	0.872291
91	0.137251	0.274502	0.862749
92	0.227085	0.454171	0.772915
93	0.22767	0.455341	0.77233
94	0.228293	0.456586	0.771707
95	0.244092	0.488185	0.755908
96	0.241425	0.48285	0.758575
97	0.315745	0.63149	0.684255
98	0.310571	0.621142	0.689429
99	0.33986	0.679719	0.66014
100	0.391672	0.783344	0.608328
101	0.370311	0.740622	0.629689
102	0.356114	0.712227	0.643886
103	0.348404	0.696808	0.651596
104	0.354871	0.709742	0.645129
105	0.388003	0.776005	0.611997
106	0.406596	0.813192	0.593404
107	0.422149	0.844297	0.577851
108	0.639967	0.720067	0.360033
109	0.690969	0.618062	0.309031
110	0.709059	0.581881	0.290941
111	0.714085	0.57183	0.285915
112	0.697859	0.604282	0.302141
113	0.773076	0.453849	0.226924
114	0.759724	0.480552	0.240276
115	0.870169	0.259661	0.129831
116	0.915615	0.16877	0.0843851
117	0.905076	0.189849	0.0949245
118	0.93939	0.12122	0.0606102
119	0.936044	0.127912	0.0639559
120	0.947833	0.104333	0.0521667
121	0.952772	0.0944553	0.0472277
122	0.95874	0.0825198	0.0412599
123	0.955864	0.0882713	0.0441356
124	0.977957	0.0440865	0.0220432
125	0.980071	0.0398577	0.0199289
126	0.97683	0.0463408	0.0231704
127	0.976892	0.046217	0.0231085
128	0.972832	0.0543353	0.0271677
129	0.973183	0.0536334	0.0268167
130	0.971817	0.056365	0.0281825
131	0.97219	0.0556195	0.0278098
132	0.970194	0.0596119	0.0298059
133	0.973395	0.0532104	0.0266052
134	0.970047	0.0599062	0.0299531
135	0.964421	0.0711587	0.0355793
136	0.957967	0.0840656	0.0420328
137	0.970544	0.058911	0.0294555
138	0.968388	0.0632244	0.0316122
139	0.964508	0.0709832	0.0354916
140	0.95737	0.0852594	0.0426297
141	0.94969	0.100621	0.0503105
142	0.97733	0.0453399	0.0226699
143	0.976983	0.0460349	0.0230174
144	0.978302	0.0433962	0.0216981
145	0.975026	0.0499472	0.0249736
146	0.975002	0.049996	0.024998
147	0.972591	0.0548183	0.0274092
148	0.968411	0.0631775	0.0315887
149	0.963629	0.0727419	0.036371
150	0.961893	0.0762135	0.0381068
151	0.986008	0.0279848	0.0139924
152	0.984285	0.0314296	0.0157148
153	0.984768	0.0304644	0.0152322
154	0.981277	0.0374451	0.0187226
155	0.981361	0.0372787	0.0186393
156	0.977443	0.045113	0.0225565
157	0.975811	0.0483779	0.0241889
158	0.971288	0.0574235	0.0287118
159	0.97303	0.0539402	0.0269701
160	0.968803	0.0623937	0.0311969
161	0.975524	0.0489525	0.0244762
162	0.972462	0.0550757	0.0275378
163	0.973589	0.0528224	0.0264112
164	0.994668	0.0106642	0.00533209
165	0.99462	0.0107593	0.00537965
166	0.993312	0.013375	0.00668751
167	0.992712	0.0145767	0.00728836
168	0.995141	0.00971825	0.00485912
169	0.993663	0.012674	0.006337
170	0.994328	0.0113437	0.00567183
171	0.993507	0.0129852	0.00649259
172	0.99496	0.0100798	0.00503992
173	0.994033	0.0119347	0.00596735
174	0.992248	0.0155042	0.00775211
175	0.99	0.0200001	0.01
176	0.993232	0.0135363	0.00676815
177	0.991978	0.0160448	0.00802239
178	0.991947	0.0161053	0.00805266
179	0.990739	0.0185221	0.00926107
180	0.99374	0.0125204	0.00626019
181	0.994313	0.0113749	0.00568746
182	0.993927	0.0121463	0.00607315
183	0.993635	0.0127296	0.00636481
184	0.992081	0.0158383	0.00791915
185	0.99048	0.0190402	0.00952012
186	0.988111	0.0237776	0.0118888
187	0.991434	0.0171321	0.00856603
188	0.990407	0.0191861	0.00959307
189	0.989035	0.0219302	0.0109651
190	0.987062	0.0258762	0.0129381
191	0.984042	0.031916	0.015958
192	0.983098	0.0338038	0.0169019
193	0.981393	0.0372145	0.0186073
194	0.987723	0.0245537	0.0122768
195	0.984539	0.030922	0.015461
196	0.983963	0.0320737	0.0160368
197	0.985097	0.0298059	0.0149029
198	0.980951	0.0380977	0.0190488
199	0.978788	0.042424	0.021212
200	0.975763	0.0484741	0.0242371
201	0.969311	0.061378	0.030689
202	0.965452	0.0690966	0.0345483
203	0.96613	0.0677394	0.0338697
204	0.957998	0.0840039	0.042002
205	0.948933	0.102135	0.0510673
206	0.952316	0.0953685	0.0476843
207	0.942875	0.114251	0.0571253
208	0.938797	0.122406	0.061203
209	0.936393	0.127215	0.0636073
210	0.931114	0.137771	0.0688857
211	0.917836	0.164328	0.0821642
212	0.901956	0.196088	0.098044
213	0.918318	0.163364	0.0816821
214	0.905396	0.189207	0.0946036
215	0.902452	0.195097	0.0975484
216	0.882436	0.235128	0.117564
217	0.891551	0.216899	0.108449
218	0.886076	0.227848	0.113924
219	0.863406	0.273188	0.136594
220	0.840489	0.319022	0.159511
221	0.825835	0.34833	0.174165
222	0.854212	0.291577	0.145788
223	0.82636	0.34728	0.17364
224	0.863339	0.273322	0.136661
225	0.849933	0.300133	0.150067
226	0.881403	0.237193	0.118597
227	0.884418	0.231165	0.115582
228	0.892252	0.215496	0.107748
229	0.888821	0.222359	0.111179
230	0.897913	0.204174	0.102087
231	0.915709	0.168582	0.084291
232	0.893329	0.213342	0.106671
233	0.878083	0.243833	0.121917
234	0.853109	0.293783	0.146891
235	0.821992	0.356015	0.178008
236	0.944036	0.111929	0.0559644
237	0.936027	0.127947	0.0639734
238	0.919281	0.161437	0.0807185
239	0.896214	0.207572	0.103786
240	0.867366	0.265268	0.132634
241	0.88501	0.229981	0.11499
242	0.852145	0.295711	0.147855
243	0.840483	0.319033	0.159517
244	0.811315	0.37737	0.188685
245	0.76459	0.470819	0.23541
246	0.726148	0.547703	0.273852
247	0.707534	0.584932	0.292466
248	0.74702	0.505959	0.25298
249	0.756589	0.486823	0.243411
250	0.706252	0.587497	0.293748
251	0.636102	0.727797	0.363898
252	0.627323	0.745354	0.372677
253	0.590636	0.818728	0.409364
254	0.512275	0.97545	0.487725
255	0.431191	0.862383	0.568809
256	0.366598	0.733196	0.633402
257	0.351247	0.702495	0.648753
258	0.96523	0.0695408	0.0347704
259	0.990629	0.0187421	0.00937107
260	0.993635	0.0127303	0.00636515
261	0.993568	0.0128632	0.00643162
262	0.980114	0.0397729	0.0198865
263	0.989429	0.0211414	0.0105707

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	23	0.0923695	NOK
5% type I error level	92	0.369478	NOK
10% type I error level	127	0.51004	NOK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 23 & 0.0923695 & NOK \tabularnewline
5% type I error level & 92 & 0.369478 & NOK \tabularnewline
10% type I error level & 127 & 0.51004 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266907&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]23[/C][C]0.0923695[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]92[/C][C]0.369478[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]127[/C][C]0.51004[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266907&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266907&T=6

As an alternative you can also use a QR Code:

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	23	0.0923695	NOK
5% type I error level	92	0.369478	NOK
10% type I error level	127	0.51004	NOK

Figure 1

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Figure 4

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Figure 7

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Figure 8

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Figure 9

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Figure 10

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Parameters (Session):

par1 = 12 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;

Parameters (R input):

par1 = 12 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;

R code (references can be found in the software module):

par3 <- 'No Linear Trend'
par2 <- 'Do not include Seasonal Dummies'
par1 <- '12'
library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, signif(mysum$coefficients[i,1],6), sep=' ')
if (rownames(mysum$coefficients)[i] != '(Intercept)') {
myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,signif(mysum$coefficients[i,1],6))
a<-table.element(a, signif(mysum$coefficients[i,2],6))
a<-table.element(a, signif(mysum$coefficients[i,3],4))
a<-table.element(a, signif(mysum$coefficients[i,4],6))
a<-table.element(a, signif(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, signif(sqrt(mysum$r.squared),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, signif(mysum$r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, signif(mysum$adj.r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[1],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[2],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[3],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, signif(1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
a<-table.element(a, signif(mysum$sigma,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, signif(sum(myerror*myerror),6))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,signif(x[i],6))
a<-table.element(a,signif(x[i]-mysum$resid[i],6))
a<-table.element(a,signif(mysum$resid[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable4.tab')
if (n > n25) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-values',header=TRUE)
a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'breakpoint index',header=TRUE)
a<-table.element(a,'greater',header=TRUE)
a<-table.element(a,'2-sided',header=TRUE)
a<-table.element(a,'less',header=TRUE)
a<-table.row.end(a)
for (mypoint in kp3:nmkm3) {
a<-table.row.start(a)
a<-table.element(a,mypoint,header=TRUE)
a<-table.element(a,signif(gqarr[mypoint-kp3+1,1],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,2],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,3],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable5.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,'# significant tests',header=TRUE)
a<-table.element(a,'% significant tests',header=TRUE)
a<-table.element(a,'OK/NOK',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'1% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant1,6))
a<-table.element(a,signif(numsignificant1/numgqtests,6))
if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'5% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant5,6))
a<-table.element(a,signif(numsignificant5/numgqtests,6))
if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'10% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant10,6))
a<-table.element(a,signif(numsignificant10/numgqtests,6))
if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable6.tab')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code