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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationTue, 15 Jan 2013 14:38:16 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Jan/15/t1358278723e0i8m655y82xmhm.htm/, Retrieved Sun, 28 Apr 2024 18:21:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=205520, Retrieved Sun, 28 Apr 2024 18:21:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact140

Tree of Dependent Computations

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

Dataseries X:
Download CSV
Histogram
Boxplots 
122	88	1	9	8976	102	918	88	792	9
114	106	1	3	10494	99	297	106	318	3
140	70	1	2	6790	97	194	70	140	2
143	70	1	21	5740	82	1722	70	1470	21
122	56	1	10	4312	77	770	56	560	10
127	50	1	2	3250	65	130	50	100	2
113	48	1	4	3072	64	256	48	192	4
118	71	1	4	4402	62	248	71	284	4
161	61	1	4	3782	62	248	61	244	4
134	66	1	5	4092	62	310	66	330	5
96	80	1	2	4880	61	122	80	160	2
104	37	1	3	2183	59	177	37	111	3
135	53	1	3	3021	57	171	53	159	3
110	39	1	6	2184	56	336	39	234	6
128	40	1	3	2160	54	162	40	120	3
142	59	1	4	3186	54	216	59	236	4
117	42	1	3	2226	53	159	42	126	3
94	33	1	13	1716	52	676	33	429	13
135	36	1	3	1836	51	153	36	108	3
121	57	1	4	2907	51	204	57	228	4
103	38	1	8	1938	51	408	38	304	8
118	98	1	8	4900	50	400	98	784	8
127	43	1	3	2150	50	150	43	129	3
116	73	1	4	3650	50	200	73	292	4
129	52	1	2	2548	49	98	52	104	2
115	53	1	5	2597	49	245	53	265	5
135	51	1	4	2499	49	196	51	204	4
133	32	1	3	1536	48	144	32	96	3
113	43	1	3	2064	48	144	43	129	3
111	53	1	2	2491	47	94	53	106	2
92	50	1	3	2350	47	141	50	150	3
118	50	1	3	2300	46	138	50	150	3
134	56	1	3	2576	46	138	56	168	3
106	53	1	5	2385	45	225	53	265	5
137	47	1	3	2115	45	135	47	141	3
100	42	1	4	1890	45	180	42	168	4
102	29	1	3	1276	44	132	29	87	3
134	54	1	4	2322	43	172	54	216	4
130	40	1	8	1680	42	336	40	320	8
144	41	1	3	1722	42	126	41	123	3
120	37	1	4	1554	42	168	37	148	4
91	25	1	2	1050	42	84	25	50	2
100	27	1	5	1134	42	210	27	135	5
134	61	1	4	2562	42	168	61	244	4
161	54	1	7	2214	41	287	54	378	7
128	35	1	3	1435	41	123	35	105	3
124	55	1	4	2255	41	164	55	220	4
115	47	1	6	1927	41	246	47	282	6
123	49	1	7	2009	41	287	49	343	7
117	38	1	20	1558	41	820	38	760	20
111	52	1	49	2132	41	2009	52	2548	49
146	35	1	3	1400	40	120	35	105	3
101	52	1	3	2080	40	120	52	156	3
131	54	1	6	2160	40	240	54	324	6
122	40	1	6	1600	40	240	40	240	6
78	52	1	4	2080	40	160	52	208	4
120	34	1	5	1326	39	195	34	170	5
115	51	1	4	1989	39	156	51	204	4
142	43	1	4	1634	38	152	43	172	4
94	40	1	31	1520	38	1178	40	1240	31
114	38	1	3	1368	36	108	38	114	3
108	33	1	3	1188	36	108	33	99	3
119	27	1	4	945	35	140	27	108	4
117	34	1	6	1190	35	210	34	204	6
86	44	1	5	1540	35	175	44	220	5
138	46	1	3	1610	35	105	46	138	3
119	50	1	3	1700	34	102	50	150	3
117	31	1	2	1054	34	68	31	62	2
117	33	1	3	1122	34	102	33	99	3
76	37	1	3	1221	33	99	37	111	3
119	48	1	16	1584	33	528	48	768	16
119	33	1	3	1089	33	99	33	99	3
124	40	1	3	1280	32	96	40	120	3
116	21	1	3	672	32	96	21	63	3
118	33	1	2	1056	32	64	33	66	2
102	41	1	5	1271	31	155	41	205	5
116	35	1	3	1085	31	93	35	105	3
103	60	1	4	1800	30	120	60	240	4
117	30	1	5	900	30	150	30	150	5
108	45	1	2	1350	30	60	45	90	2
122	26	1	3	780	30	90	26	78	3
90	41	1	3	1189	29	87	41	123	3
133	48	1	14	1344	28	392	48	672	14
116	10	1	8	280	28	224	10	80	8
110	35	1	4	945	27	108	35	140	4
90	23	1	4	621	27	108	23	92	4
74	29	1	3	783	27	81	29	87	3
75	17	1	4	442	26	104	17	68	4
107	35	1	3	875	25	75	35	105	3
90	50	1	5	1250	25	125	50	250	5
96	33	1	3	825	25	75	33	99	3
115	23	1	3	552	24	72	23	69	3
91	22	1	2	528	24	48	22	44	2
77	52	1	4	1196	23	92	52	208	4
108	38	1	31	874	23	713	38	1178	31
83	32	1	2	736	23	46	32	64	2
77	28	1	5	644	23	115	28	140	5
99	43	1	5	989	23	115	43	215	5
115	32	1	2	704	22	44	32	64	2
99	35	1	2	770	22	44	35	70	2
106	25	1	3	550	22	66	25	75	3
77	14	1	8	308	22	176	14	112	8
115	17	1	6	340	20	120	17	102	6
67	18	1	3	342	19	57	18	54	3
8	12	1	2	228	19	38	12	24	2
69	27	1	5	459	17	85	27	135	5
88	28	1	3	476	17	51	28	84	3
107	12	1	5	192	16	80	12	60	5
120	21	1	5	336	16	80	21	105	5
3	9	1	4	45	5	20	9	36	4
1	11	1	2	44	4	8	11	22	2
0	3	1	4	9	3	12	3	12	4
111	111	0	4	17316	0	624	0	444	0
69	137	0	8	14933	0	872	0	1096	0
116	112	0	3	11648	0	312	0	336	0
103	73	0	4	7154	0	392	0	292	0
139	99	0	3	7722	0	234	0	297	0
135	115	0	3	8855	0	231	0	345	0
113	95	0	3	6935	0	219	0	285	0
99	60	0	4	4260	0	284	0	240	0
76	94	0	4	6298	0	268	0	376	0
110	70	0	5	4480	0	320	0	350	0
121	87	0	2	5394	0	124	0	174	0
95	102	0	3	6222	0	183	0	306	0
66	69	0	4	4002	0	232	0	276	0
111	111	0	7	6438	0	406	0	777	0
77	55	0	3	3080	0	168	0	165	0
101	118	0	4	6608	0	224	0	472	0
108	90	0	3	4680	0	156	0	270	0
135	81	0	4	4131	0	204	0	324	0
70	88	0	4	4488	0	204	0	352	0
124	63	0	3	3150	0	150	0	189	0
92	84	0	6	4116	0	294	0	504	0
104	87	0	4	4263	0	196	0	348	0
113	78	0	4	3744	0	192	0	312	0
95	93	0	4	4371	0	188	0	372	0
89	69	0	4	3243	0	188	0	276	0
83	67	0	3	3082	0	138	0	201	0
96	61	0	6	2745	0	270	0	366	0
95	123	0	4	5535	0	180	0	492	0
110	91	0	6	4095	0	270	0	546	0
106	98	0	6	4410	0	270	0	588	0
78	38	0	2	1672	0	88	0	76	0
115	72	0	3	3168	0	132	0	216	0
74	59	0	3	2596	0	132	0	177	0
93	78	0	2	3354	0	86	0	156	0
88	58	0	4	2494	0	172	0	232	0
104	97	0	5	4074	0	210	0	485	0
86	69	0	3	2829	0	123	0	207	0
104	50	0	7	2050	0	287	0	350	0
99	66	0	4	2640	0	160	0	264	0
101	70	0	3	2730	0	117	0	210	0
53	65	0	4	2535	0	156	0	260	0
96	69	0	4	2691	0	156	0	276	0
58	49	0	3	1911	0	117	0	147	0
117	72	0	3	2808	0	117	0	216	0
82	74	0	4	2886	0	156	0	296	0
57	82	0	5	3198	0	195	0	410	0
71	61	0	3	2318	0	114	0	183	0
105	72	0	4	2736	0	152	0	288	0
60	77	0	6	2926	0	228	0	462	0
77	64	0	5	2432	0	190	0	320	0
73	23	0	7	851	0	259	0	161	0
78	39	0	5	1443	0	185	0	195	0
81	87	0	5	3219	0	185	0	435	0
101	46	0	3	1656	0	108	0	138	0
118	66	0	5	2376	0	180	0	330	0
59	57	0	4	2052	0	144	0	228	0
101	48	0	9	1728	0	324	0	432	0
22	75	0	3	2700	0	108	0	225	0
77	35	0	3	1260	0	108	0	105	0
100	53	0	3	1855	0	105	0	159	0
39	60	0	3	2100	0	105	0	180	0
42	20	0	15	680	0	510	0	300	0
80	66	0	4	2244	0	136	0	264	0
48	34	0	6	1156	0	204	0	204	0
131	80	0	3	2720	0	102	0	240	0
46	63	0	3	2142	0	102	0	189	0
89	46	0	3	1518	0	99	0	138	0
51	20	0	5	660	0	165	0	100	0
108	73	0	3	2409	0	99	0	219	0
86	57	0	4	1881	0	132	0	228	0
105	65	0	7	2145	0	231	0	455	0
85	70	0	4	2310	0	132	0	280	0
103	53	0	5	1696	0	160	0	265	0
83	60	0	7	1920	0	224	0	420	0
77	34	0	14	1088	0	448	0	476	0
26	18	0	25	576	0	800	0	450	0
73	49	0	6	1568	0	192	0	294	0
42	27	0	4	837	0	124	0	108	0
71	45	0	3	1395	0	93	0	135	0
105	9	0	62	279	0	1922	0	558	0
73	23	0	5	690	0	150	0	115	0
98	61	0	10	1830	0	300	0	610	0
108	67	0	4	1943	0	116	0	268	0
57	72	0	5	2088	0	145	0	360	0
37	58	0	5	1682	0	145	0	290	0
70	55	0	4	1540	0	112	0	220	0
73	33	0	10	924	0	280	0	330	0
47	40	0	5	1120	0	140	0	200	0
73	57	0	3	1596	0	84	0	171	0
91	61	0	3	1708	0	84	0	183	0
110	87	0	17	2436	0	476	0	1479	0
78	65	0	4	1755	0	108	0	260	0
92	85	0	6	2295	0	162	0	510	0
52	85	0	3	2295	0	81	0	255	0
88	54	0	4	1404	0	104	0	216	0
100	24	0	8	624	0	208	0	192	0
33	31	0	3	806	0	78	0	93	0
42	64	0	4	1664	0	104	0	256	0
81	70	0	4	1750	0	100	0	280	0
67	2	0	47	50	0	1175	0	94	0
8	27	0	8	648	0	192	0	216	0
46	29	0	3	696	0	72	0	87	0
83	68	0	5	1632	0	120	0	340	0
87	42	0	3	1008	0	72	0	126	0
82	78	0	4	1872	0	96	0	312	0
63	13	0	30	312	0	720	0	390	0
27	52	0	4	1248	0	96	0	208	0
14	25	0	12	575	0	276	0	300	0
83	38	0	8	874	0	184	0	304	0
168	40	0	3	920	0	69	0	120	0
67	42	0	8	966	0	184	0	336	0
21	40	0	4	920	0	92	0	160	0
55	74	0	3	1702	0	69	0	222	0
54	73	0	4	1679	0	92	0	292	0
118	56	0	4	1232	0	88	0	224	0
69	3	0	21	66	0	462	0	63	0
77	9	0	12	189	0	252	0	108	0
72	68	0	3	1428	0	63	0	204	0
53	28	0	3	588	0	63	0	84	0
40	36	0	4	756	0	84	0	144	0
102	38	0	6	760	0	120	0	228	0
25	55	0	17	1100	0	340	0	935	0
31	36	0	3	720	0	60	0	108	0
77	17	0	18	340	0	360	0	306	0
38	54	0	5	1080	0	100	0	270	0
23	57	0	5	1083	0	95	0	285	0
91	30	0	16	570	0	304	0	480	0
58	40	0	10	760	0	190	0	400	0
42	37	0	5	666	0	90	0	185	0
44	46	0	4	828	0	72	0	184	0
58	32	0	3	576	0	54	0	96	0
35	34	0	5	612	0	90	0	170	0
88	22	0	4	396	0	72	0	88	0
25	59	0	5	1003	0	85	0	295	0
39	32	0	10	544	0	170	0	320	0
48	18	0	12	288	0	192	0	216	0
64	28	0	4	448	0	64	0	112	0
65	34	0	9	510	0	135	0	306	0
95	29	0	12	435	0	180	0	348	0
29	24	0	10	360	0	150	0	240	0
2	24	0	9	360	0	135	0	216	0
83	23	0	17	322	0	238	0	391	0
11	43	0	6	559	0	78	0	258	0
16	28	0	3	364	0	39	0	84	0
9	19	0	4	228	0	48	0	76	0
46	16	0	19	176	0	209	0	304	0
41	40	0	3	440	0	33	0	120	0
14	14	0	9	140	0	90	0	126	0
63	19	0	7	190	0	70	0	133	0
9	22	0	4	220	0	40	0	88	0
0	8	0	3	80	0	30	0	24	0
58	31	0	46	279	0	414	0	1426	0
18	9	0	31	72	0	248	0	279	0
42	18	0	21	144	0	168	0	378	0
26	9	0	7	63	0	49	0	63	0
38	5	0	29	35	0	203	0	145	0
1	11	0	5	44	0	20	0	55	0

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time16 seconds
R Server'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 16 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205520&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]16 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205520&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205520&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time16 seconds
R Server'George Udny Yule' @ yule.wessa.net






Multiple Linear Regression - Estimated Regression Equation
lfm[t] = + 24.7467194612645 + 0.973199296115086blogs[t] + 40.8587125508211uk[t] + 0.505388195949728spr[t] -0.00227612337447374hours_blogs[t] + 0.590185241299763hours_uk[t] + 0.0286749414923654hours_spr[t] -0.405407024747837blogs_uk[t] -0.0319789769775443blogs_spr[t] -0.0917049716718604uk_spr[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
lfm[t] =  +  24.7467194612645 +  0.973199296115086blogs[t] +  40.8587125508211uk[t] +  0.505388195949728spr[t] -0.00227612337447374hours_blogs[t] +  0.590185241299763hours_uk[t] +  0.0286749414923654hours_spr[t] -0.405407024747837blogs_uk[t] -0.0319789769775443blogs_spr[t] -0.0917049716718604uk_spr[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205520&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]lfm[t] =  +  24.7467194612645 +  0.973199296115086blogs[t] +  40.8587125508211uk[t] +  0.505388195949728spr[t] -0.00227612337447374hours_blogs[t] +  0.590185241299763hours_uk[t] +  0.0286749414923654hours_spr[t] -0.405407024747837blogs_uk[t] -0.0319789769775443blogs_spr[t] -0.0917049716718604uk_spr[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205520&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205520&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
lfm[t] = + 24.7467194612645 + 0.973199296115086blogs[t] + 40.8587125508211uk[t] + 0.505388195949728spr[t] -0.00227612337447374hours_blogs[t] + 0.590185241299763hours_uk[t] + 0.0286749414923654hours_spr[t] -0.405407024747837blogs_uk[t] -0.0319789769775443blogs_spr[t] -0.0917049716718604uk_spr[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)24.74671946126456.9108513.58090.0004090.000204
blogs0.9731992961150860.1562876.22700
uk40.85871255082119.27914.40331.6e-058e-06
spr0.5053881959497280.5106330.98970.3232310.161615
hours_blogs-0.002276123374473740.00153-1.48750.138090.069045
hours_uk0.5901852412997630.2387892.47160.0140960.007048
hours_spr0.02867494149236540.0167981.7070.0890140.044507
blogs_uk-0.4054070247478370.237928-1.70390.0895980.044799
blogs_spr-0.03197897697754430.014041-2.27750.023570.011785
uk_spr-0.09170497167186040.689415-0.1330.8942820.447141

\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) & 24.7467194612645 & 6.910851 & 3.5809 & 0.000409 & 0.000204 \tabularnewline
blogs & 0.973199296115086 & 0.156287 & 6.227 & 0 & 0 \tabularnewline
uk & 40.8587125508211 & 9.2791 & 4.4033 & 1.6e-05 & 8e-06 \tabularnewline
spr & 0.505388195949728 & 0.510633 & 0.9897 & 0.323231 & 0.161615 \tabularnewline
hours_blogs & -0.00227612337447374 & 0.00153 & -1.4875 & 0.13809 & 0.069045 \tabularnewline
hours_uk & 0.590185241299763 & 0.238789 & 2.4716 & 0.014096 & 0.007048 \tabularnewline
hours_spr & 0.0286749414923654 & 0.016798 & 1.707 & 0.089014 & 0.044507 \tabularnewline
blogs_uk & -0.405407024747837 & 0.237928 & -1.7039 & 0.089598 & 0.044799 \tabularnewline
blogs_spr & -0.0319789769775443 & 0.014041 & -2.2775 & 0.02357 & 0.011785 \tabularnewline
uk_spr & -0.0917049716718604 & 0.689415 & -0.133 & 0.894282 & 0.447141 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205520&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]24.7467194612645[/C][C]6.910851[/C][C]3.5809[/C][C]0.000409[/C][C]0.000204[/C][/ROW]
[ROW][C]blogs[/C][C]0.973199296115086[/C][C]0.156287[/C][C]6.227[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]uk[/C][C]40.8587125508211[/C][C]9.2791[/C][C]4.4033[/C][C]1.6e-05[/C][C]8e-06[/C][/ROW]
[ROW][C]spr[/C][C]0.505388195949728[/C][C]0.510633[/C][C]0.9897[/C][C]0.323231[/C][C]0.161615[/C][/ROW]
[ROW][C]hours_blogs[/C][C]-0.00227612337447374[/C][C]0.00153[/C][C]-1.4875[/C][C]0.13809[/C][C]0.069045[/C][/ROW]
[ROW][C]hours_uk[/C][C]0.590185241299763[/C][C]0.238789[/C][C]2.4716[/C][C]0.014096[/C][C]0.007048[/C][/ROW]
[ROW][C]hours_spr[/C][C]0.0286749414923654[/C][C]0.016798[/C][C]1.707[/C][C]0.089014[/C][C]0.044507[/C][/ROW]
[ROW][C]blogs_uk[/C][C]-0.405407024747837[/C][C]0.237928[/C][C]-1.7039[/C][C]0.089598[/C][C]0.044799[/C][/ROW]
[ROW][C]blogs_spr[/C][C]-0.0319789769775443[/C][C]0.014041[/C][C]-2.2775[/C][C]0.02357[/C][C]0.011785[/C][/ROW]
[ROW][C]uk_spr[/C][C]-0.0917049716718604[/C][C]0.689415[/C][C]-0.133[/C][C]0.894282[/C][C]0.447141[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205520&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205520&T=2

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


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)24.74671946126456.9108513.58090.0004090.000204
blogs0.9731992961150860.1562876.22700
uk40.85871255082119.27914.40331.6e-058e-06
spr0.5053881959497280.5106330.98970.3232310.161615
hours_blogs-0.002276123374473740.00153-1.48750.138090.069045
hours_uk0.5901852412997630.2387892.47160.0140960.007048
hours_spr0.02867494149236540.0167981.7070.0890140.044507
blogs_uk-0.4054070247478370.237928-1.70390.0895980.044799
blogs_spr-0.03197897697754430.014041-2.27750.023570.011785
uk_spr-0.09170497167186040.689415-0.1330.8942820.447141






Multiple Linear Regression - Regression Statistics
Multiple R0.708043176244303
R-squared0.501325139426121
Adjusted R-squared0.483996669367569
F-TEST (value)28.930721392724
F-TEST (DF numerator)9
F-TEST (DF denominator)259
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation25.7504517800998
Sum Squared Residuals171739.213621724

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.708043176244303 \tabularnewline
R-squared & 0.501325139426121 \tabularnewline
Adjusted R-squared & 0.483996669367569 \tabularnewline
F-TEST (value) & 28.930721392724 \tabularnewline
F-TEST (DF numerator) & 9 \tabularnewline
F-TEST (DF denominator) & 259 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 25.7504517800998 \tabularnewline
Sum Squared Residuals & 171739.213621724 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205520&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.708043176244303[/C][/ROW]
[ROW][C]R-squared[/C][C]0.501325139426121[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.483996669367569[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]28.930721392724[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]9[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]259[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]25.7504517800998[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]171739.213621724[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205520&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205520&T=3

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


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

Multiple Linear Regression - Regression Statistics
Multiple R0.708043176244303
R-squared0.501325139426121
Adjusted R-squared0.483996669367569
F-TEST (value)28.930721392724
F-TEST (DF numerator)9
F-TEST (DF denominator)259
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation25.7504517800998
Sum Squared Residuals171739.213621724






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1122160.05895863798-38.0589586379802
2114159.92230559117-45.9223055911701
3140149.057230022412-9.05723002241167
4143151.737633427593-8.73763342759273
5122141.339728882478-19.3397288824777
6127126.3168964427020.683103557298243
7113126.494619813984-13.4946198139835
8118132.174762070908-14.1747620709077
9161129.18719492851131.8128050714894
10134130.7618956159963.23810438400425
1196135.131704367536-39.1317043675364
12104119.232745835358-15.2327458353585
13135123.5226197629511.4773802370504
14110120.462449732701-10.462449732701
15128117.31961236539110.6803876346091
16142124.02493167462917.9750683253709
17117117.436888837768-0.436888837768028
1894122.16954304528-28.1695430452803
19135114.14102477965120.8589752203486
20121121.665562347385-0.665562347385427
21103118.157091452533-15.1570914525334
22118129.313256576917-11.3132565769172
23127116.05309935733210.9469006426679
24116126.307539488195-10.3075394881954
25129118.56184169785510.4381583021453
26115119.325754702699-4.32575470269948
27135118.5451924888916.4548075111102
28133110.90781023292422.0921897670755
29113114.896425835983-1.8964258359831
30111117.900344799043-6.90034479904292
3192116.872231868149-24.8722318681491
32118116.3098279710961.69017202890411
33134118.51274996234915.4872500376512
34106116.874053063042-10.8740530630416
35137114.63913470829322.3608652917072
36100113.152924323754-13.1529243237538
37102107.379196025876-5.37919602587634
38134116.03838537292817.9616146270724
39130111.99198923509318.0080107649068
40144110.67388895452333.3261110454773
41120109.60366493848410.3963350615161
4291103.835202072697-12.8352020726966
43100106.915471509756-6.9154715097557
44134117.86636529998416.1336347000159
45161114.46190988886546.5380901111354
46128107.81979425461220.1802057453879
47124115.2209919879368.7790080120641
48115112.6212373621472.37876263785273
49123113.208818018019.79118198199044
50117115.3160270062651.68397299373541
51111110.871532091090.128467908910319
52146107.22324850694238.7767514930581
53101113.697025399688-12.6970253996882
54131113.96009459215517.0399054078452
55122109.97186594883212.0281340511677
5678113.594799480828-35.5947994808284
57120107.13305768092912.8669423190713
58115112.6571653371792.34283466282081
59142109.24129322019232.7587067798084
6094114.233784085432-20.2337840854319
61114106.0068102131217.99318978687857
62108104.0572357183543.94276428164637
63119101.65686538808317.3431346119168
64117104.83839162408512.1616083759151
6586107.79070134854-21.7907013485402
66138108.55462101419929.4453789858011
67119109.5609812064589.43901879354217
68117101.66882248939615.3311775106043
69117102.85503972951514.1449602704848
7076103.840914811404-27.8409148114039
71119105.929640953113.0703590468999
72119102.25394173509616.7460582649041
73124104.44597948783719.5540205121631
7411696.864611031259219.1353889687408
75118101.37686862890216.6231313710979
76102104.245046581789-2.2450465817887
77116101.85433677790914.1456632220906
78103110.702274860645-7.70227486064535
7911799.869057153682117.1309428463179
80108105.4586299171842.54137008281622
8112297.625646277435424.3743537225646
8290103.096331858018-13.0963318580181
83133101.86780765480231.1321923451982
8411694.34556146760821.654438532392
8511099.536796237585910.4632037624141
869094.9957438494306-4.99574384943056
877497.0057537312853-23.0057537312853
887592.0590267454497-17.0590267454497
8910798.27506229188778.72493770811231
9090103.562561958399-13.5625619583989
919697.4451577797421-1.44515777974214
9211592.671775990850422.3282240091495
939191.8562032848145-0.856203284814547
9477103.623847420286-26.6238474202863
9510894.364645401768813.6353545982312
968395.7735776727611-12.7735776727611
977794.5010303232572-17.5010303232572
989999.8342285562566-0.834228556256636
9911595.198878496459819.8011215035402
1009996.5601573059812.439842694019
10110692.267618786914913.7323812130851
1027790.6121631958782-13.6121631958782
10311588.948960177044526.0510398229555
1046787.4094348684326-20.4094348684326
105884.2630215016126-76.2630215016126
1066990.1128560684857-21.1128560684857
1078890.4705676090455-2.47056760904552
10810783.868560263515723.1314397364843
10912087.211874975907332.7881250240928
110374.6410516648055-71.6410516648055
111174.4649670208362-73.4649670208362
112070.6739639110056-70.6739639110056
11311199.07453947465711.925460525343
11469118.084368459567-49.0843684595669
115116106.9505656292969.04943437070372
11610383.431150028043819.5688499719562
117139102.24556981370436.7544301862962
118135113.61689504886721.3831049511328
119113100.09770532629912.9022946737006
1209975.932673345931623.0673266540684
1217699.5747700438431-23.5747700438431
12211083.183917786843226.8160822131568
12312196.139775884225724.8602241157743
12495106.829119954851-11.8291199548511
1256682.636366712787-16.636366712787
126111108.4502375511742.54976244882634
1277772.31924431148694.68075568851314
128101117.89427568901-16.89427568901
12910899.03753039580648.96246960419365
13013591.683249094152543.3167509058475
1317096.7876567668998-26.7876567668998
13212478.661865649870745.3381343501292
1339292.4722941033693-0.472294103369281
13410496.22510160601257.77489839398747
13511389.684159377550823.3158406224492
13695100.82158107886-5.8215810788599
1378983.10224692834855.89775307165153
1388381.98159220215641.01840779784361
1399676.934175666210119.0658243337899
14095123.301275585181-28.3012755851808
14111097.301172138165212.6988278618348
142106102.0534713149553.94652868504528
1437859.026383424451918.9736165755481
14411586.000107768909728.9998922310903
1457475.8976395917368-1.89763959173681
1469391.51024771200221.48975228799776
1478875.050147001697512.9498529983026
148104102.9129994158581.08700058414178
1498683.88185202387772.11814797612233
15010469.315414987164134.6845850128359
1519981.136000796755217.8639992032448
15210184.812400954178816.1875990458212
1535380.4150105969005-27.4150105969005
1549683.441068903302312.5589310966977
1555868.2540363290413-10.2540363290413
15611786.389388061334830.6106119386652
1578287.2236417863044-5.22364178630445
1585792.2771932011013-35.2771932011013
1597177.7687776733428-6.76877767334284
16010585.759793750096219.2402062499038
1616087.8190567407482-27.8190567407482
1627779.2378495963938-2.23784959639376
1637351.009234205020421.9907657949796
1647861.012950625602316.9870493743977
1658196.0091672514505-15.0091672514505
16610165.944586220553435.0554137794465
16711880.705171912895437.2948280871046
1685974.4080117832237-15.4080117832237
16910167.551401236472833.4485987635272
1702289.008922007894-67.008922007894
1717757.196045059838119.8039549401619
17210071.546449400833328.4535505991667
1733977.1296357303644-38.1296357303644
1744255.2742914960131-13.2742914960131
1758081.34914705723-1.34914705723001
1764857.5626028450076-9.56260284500764
17713193.177661717362637.8223382826374
1784679.5798008197067-33.5798008197067
1798966.000616772799622.9993832272004
1805146.7688725846484.23112741535197
18110887.658674706069720.3413252939303
1828674.453129582350311.5468704176497
18310578.733583402100826.2664165978992
1848584.46535670136490.534643298635085
18510371.106479631734431.8935203682656
1868375.29825428454947.70174571545058
1877760.058888788314816.9411112116852
1882662.1373781803798-36.1373781803798
1897368.00062223056344.99937776943661
1904251.2415012072147-9.24150120721472
1917165.23126793372325.76873206627683
192105101.4735112485623.52648875143812
1937348.710377994710424.2896220052896
1949874.095759199902723.9042408000973
19510882.306044751304225.6939552486958
1965785.2368989598752-28.2368989598752
1973774.7747432927284-37.7747432927284
1987072.9652220467888-2.96522204678875
1997357.288961409818615.7110385901814
2004761.2710705196283-14.2710705196283
2017375.0428410442121-2.04284104421211
2029178.296964687000912.7030353129991
20311078.814386214782331.1856137852177
2047880.8139896373565-2.81398963735653
2059293.6133479255436-1.61334792554355
2065297.9291522060866-45.9291522060866
2078872.200091905573315.7999080944267
20810050.550731400676249.4492685993238
2093353.8601073663484-20.8601073663484
2104280.0611337102593-38.0611337102593
2118184.8223876633145-3.82238766331452
2126781.0195895120484-14.0195895120484
213852.1894078166952-44.1894078166952
2144652.1839065582214-6.18390655822139
2158382.30472003641660.69527996358337
2168762.878166812757524.1218331872425
2178291.1922679512985-9.19226795129853
2186360.02396254967752.97603745032253
2192770.6352008436425-43.6352008436425
2201452.1531800338455-38.1531800338455
2218359.336646685367323.6633533146327
22216861.2379161148691106.762083885131
2236761.99671325609475.00328674390535
2242161.1236688860415-40.1236688860415
2255589.2849080522341-34.2849080522341
2265487.290443055578-33.290443055578
22711873.823352838514844.1766471614852
2286949.362392741726319.6376072582737
2297742.912339902422834.0876600975772
2307284.472942016791-12.472942016791
2315351.29439104405081.70560895594919
2324057.8864200346967-17.8864200346967
23310259.180554352939842.8194456470602
2342564.2096810002189-39.2096810002189
2353157.9260168556028-26.9260168556028
2367750.15162505711826.848374942882
2373871.6013795520957-33.6013795520957
2382373.8910897081926-50.8910897081926
2399154.098792420920536.9012075790795
2405859.6553675932969-1.65536759329689
2414258.430770223339-16.430770223339
2424465.8312737358753-21.8312737358753
2435854.5726795118433.42732048815697
2443556.1137676518785-21.1137676518785
2458846.527757716730141.4722422832699
2462575.4130389856815-50.4130389856815
2473954.3462352016188-15.3462352016188
2484846.27157135026891.72842864973108
2496451.25170009854812.748299901452
2506555.30871651808419.69128348191586
2519552.07684921254342.923150787457
2522948.9642668619575-19.9642668619575
253248.7962499910833-46.7962499910833
2548349.309846953439533.6901530465605
2551162.3403347797788-51.3403347797788
2561651.1160440841162-35.1160440841162
257943.6860976832102-34.6860976832102
2584645.79113997897420.208860021025777
2594161.2981574408914-20.2981574408914
2601441.1527397331392-27.1527397331392
2616344.096801984401418.9031980155986
262946.0107573028818-37.0107573028818
263033.9591413453863-33.9591413453863
2645843.798120840902614.2018791590974
2651847.1979172311515-29.1979172311515
2664245.2790340135617-3.27903401356175
2672636.2902313088971-10.2902313088971
2683845.3733707674817-7.3733707674817
269136.6933583658846-35.6933583658846

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 122 & 160.05895863798 & -38.0589586379802 \tabularnewline
2 & 114 & 159.92230559117 & -45.9223055911701 \tabularnewline
3 & 140 & 149.057230022412 & -9.05723002241167 \tabularnewline
4 & 143 & 151.737633427593 & -8.73763342759273 \tabularnewline
5 & 122 & 141.339728882478 & -19.3397288824777 \tabularnewline
6 & 127 & 126.316896442702 & 0.683103557298243 \tabularnewline
7 & 113 & 126.494619813984 & -13.4946198139835 \tabularnewline
8 & 118 & 132.174762070908 & -14.1747620709077 \tabularnewline
9 & 161 & 129.187194928511 & 31.8128050714894 \tabularnewline
10 & 134 & 130.761895615996 & 3.23810438400425 \tabularnewline
11 & 96 & 135.131704367536 & -39.1317043675364 \tabularnewline
12 & 104 & 119.232745835358 & -15.2327458353585 \tabularnewline
13 & 135 & 123.52261976295 & 11.4773802370504 \tabularnewline
14 & 110 & 120.462449732701 & -10.462449732701 \tabularnewline
15 & 128 & 117.319612365391 & 10.6803876346091 \tabularnewline
16 & 142 & 124.024931674629 & 17.9750683253709 \tabularnewline
17 & 117 & 117.436888837768 & -0.436888837768028 \tabularnewline
18 & 94 & 122.16954304528 & -28.1695430452803 \tabularnewline
19 & 135 & 114.141024779651 & 20.8589752203486 \tabularnewline
20 & 121 & 121.665562347385 & -0.665562347385427 \tabularnewline
21 & 103 & 118.157091452533 & -15.1570914525334 \tabularnewline
22 & 118 & 129.313256576917 & -11.3132565769172 \tabularnewline
23 & 127 & 116.053099357332 & 10.9469006426679 \tabularnewline
24 & 116 & 126.307539488195 & -10.3075394881954 \tabularnewline
25 & 129 & 118.561841697855 & 10.4381583021453 \tabularnewline
26 & 115 & 119.325754702699 & -4.32575470269948 \tabularnewline
27 & 135 & 118.54519248889 & 16.4548075111102 \tabularnewline
28 & 133 & 110.907810232924 & 22.0921897670755 \tabularnewline
29 & 113 & 114.896425835983 & -1.8964258359831 \tabularnewline
30 & 111 & 117.900344799043 & -6.90034479904292 \tabularnewline
31 & 92 & 116.872231868149 & -24.8722318681491 \tabularnewline
32 & 118 & 116.309827971096 & 1.69017202890411 \tabularnewline
33 & 134 & 118.512749962349 & 15.4872500376512 \tabularnewline
34 & 106 & 116.874053063042 & -10.8740530630416 \tabularnewline
35 & 137 & 114.639134708293 & 22.3608652917072 \tabularnewline
36 & 100 & 113.152924323754 & -13.1529243237538 \tabularnewline
37 & 102 & 107.379196025876 & -5.37919602587634 \tabularnewline
38 & 134 & 116.038385372928 & 17.9616146270724 \tabularnewline
39 & 130 & 111.991989235093 & 18.0080107649068 \tabularnewline
40 & 144 & 110.673888954523 & 33.3261110454773 \tabularnewline
41 & 120 & 109.603664938484 & 10.3963350615161 \tabularnewline
42 & 91 & 103.835202072697 & -12.8352020726966 \tabularnewline
43 & 100 & 106.915471509756 & -6.9154715097557 \tabularnewline
44 & 134 & 117.866365299984 & 16.1336347000159 \tabularnewline
45 & 161 & 114.461909888865 & 46.5380901111354 \tabularnewline
46 & 128 & 107.819794254612 & 20.1802057453879 \tabularnewline
47 & 124 & 115.220991987936 & 8.7790080120641 \tabularnewline
48 & 115 & 112.621237362147 & 2.37876263785273 \tabularnewline
49 & 123 & 113.20881801801 & 9.79118198199044 \tabularnewline
50 & 117 & 115.316027006265 & 1.68397299373541 \tabularnewline
51 & 111 & 110.87153209109 & 0.128467908910319 \tabularnewline
52 & 146 & 107.223248506942 & 38.7767514930581 \tabularnewline
53 & 101 & 113.697025399688 & -12.6970253996882 \tabularnewline
54 & 131 & 113.960094592155 & 17.0399054078452 \tabularnewline
55 & 122 & 109.971865948832 & 12.0281340511677 \tabularnewline
56 & 78 & 113.594799480828 & -35.5947994808284 \tabularnewline
57 & 120 & 107.133057680929 & 12.8669423190713 \tabularnewline
58 & 115 & 112.657165337179 & 2.34283466282081 \tabularnewline
59 & 142 & 109.241293220192 & 32.7587067798084 \tabularnewline
60 & 94 & 114.233784085432 & -20.2337840854319 \tabularnewline
61 & 114 & 106.006810213121 & 7.99318978687857 \tabularnewline
62 & 108 & 104.057235718354 & 3.94276428164637 \tabularnewline
63 & 119 & 101.656865388083 & 17.3431346119168 \tabularnewline
64 & 117 & 104.838391624085 & 12.1616083759151 \tabularnewline
65 & 86 & 107.79070134854 & -21.7907013485402 \tabularnewline
66 & 138 & 108.554621014199 & 29.4453789858011 \tabularnewline
67 & 119 & 109.560981206458 & 9.43901879354217 \tabularnewline
68 & 117 & 101.668822489396 & 15.3311775106043 \tabularnewline
69 & 117 & 102.855039729515 & 14.1449602704848 \tabularnewline
70 & 76 & 103.840914811404 & -27.8409148114039 \tabularnewline
71 & 119 & 105.9296409531 & 13.0703590468999 \tabularnewline
72 & 119 & 102.253941735096 & 16.7460582649041 \tabularnewline
73 & 124 & 104.445979487837 & 19.5540205121631 \tabularnewline
74 & 116 & 96.8646110312592 & 19.1353889687408 \tabularnewline
75 & 118 & 101.376868628902 & 16.6231313710979 \tabularnewline
76 & 102 & 104.245046581789 & -2.2450465817887 \tabularnewline
77 & 116 & 101.854336777909 & 14.1456632220906 \tabularnewline
78 & 103 & 110.702274860645 & -7.70227486064535 \tabularnewline
79 & 117 & 99.8690571536821 & 17.1309428463179 \tabularnewline
80 & 108 & 105.458629917184 & 2.54137008281622 \tabularnewline
81 & 122 & 97.6256462774354 & 24.3743537225646 \tabularnewline
82 & 90 & 103.096331858018 & -13.0963318580181 \tabularnewline
83 & 133 & 101.867807654802 & 31.1321923451982 \tabularnewline
84 & 116 & 94.345561467608 & 21.654438532392 \tabularnewline
85 & 110 & 99.5367962375859 & 10.4632037624141 \tabularnewline
86 & 90 & 94.9957438494306 & -4.99574384943056 \tabularnewline
87 & 74 & 97.0057537312853 & -23.0057537312853 \tabularnewline
88 & 75 & 92.0590267454497 & -17.0590267454497 \tabularnewline
89 & 107 & 98.2750622918877 & 8.72493770811231 \tabularnewline
90 & 90 & 103.562561958399 & -13.5625619583989 \tabularnewline
91 & 96 & 97.4451577797421 & -1.44515777974214 \tabularnewline
92 & 115 & 92.6717759908504 & 22.3282240091495 \tabularnewline
93 & 91 & 91.8562032848145 & -0.856203284814547 \tabularnewline
94 & 77 & 103.623847420286 & -26.6238474202863 \tabularnewline
95 & 108 & 94.3646454017688 & 13.6353545982312 \tabularnewline
96 & 83 & 95.7735776727611 & -12.7735776727611 \tabularnewline
97 & 77 & 94.5010303232572 & -17.5010303232572 \tabularnewline
98 & 99 & 99.8342285562566 & -0.834228556256636 \tabularnewline
99 & 115 & 95.1988784964598 & 19.8011215035402 \tabularnewline
100 & 99 & 96.560157305981 & 2.439842694019 \tabularnewline
101 & 106 & 92.2676187869149 & 13.7323812130851 \tabularnewline
102 & 77 & 90.6121631958782 & -13.6121631958782 \tabularnewline
103 & 115 & 88.9489601770445 & 26.0510398229555 \tabularnewline
104 & 67 & 87.4094348684326 & -20.4094348684326 \tabularnewline
105 & 8 & 84.2630215016126 & -76.2630215016126 \tabularnewline
106 & 69 & 90.1128560684857 & -21.1128560684857 \tabularnewline
107 & 88 & 90.4705676090455 & -2.47056760904552 \tabularnewline
108 & 107 & 83.8685602635157 & 23.1314397364843 \tabularnewline
109 & 120 & 87.2118749759073 & 32.7881250240928 \tabularnewline
110 & 3 & 74.6410516648055 & -71.6410516648055 \tabularnewline
111 & 1 & 74.4649670208362 & -73.4649670208362 \tabularnewline
112 & 0 & 70.6739639110056 & -70.6739639110056 \tabularnewline
113 & 111 & 99.074539474657 & 11.925460525343 \tabularnewline
114 & 69 & 118.084368459567 & -49.0843684595669 \tabularnewline
115 & 116 & 106.950565629296 & 9.04943437070372 \tabularnewline
116 & 103 & 83.4311500280438 & 19.5688499719562 \tabularnewline
117 & 139 & 102.245569813704 & 36.7544301862962 \tabularnewline
118 & 135 & 113.616895048867 & 21.3831049511328 \tabularnewline
119 & 113 & 100.097705326299 & 12.9022946737006 \tabularnewline
120 & 99 & 75.9326733459316 & 23.0673266540684 \tabularnewline
121 & 76 & 99.5747700438431 & -23.5747700438431 \tabularnewline
122 & 110 & 83.1839177868432 & 26.8160822131568 \tabularnewline
123 & 121 & 96.1397758842257 & 24.8602241157743 \tabularnewline
124 & 95 & 106.829119954851 & -11.8291199548511 \tabularnewline
125 & 66 & 82.636366712787 & -16.636366712787 \tabularnewline
126 & 111 & 108.450237551174 & 2.54976244882634 \tabularnewline
127 & 77 & 72.3192443114869 & 4.68075568851314 \tabularnewline
128 & 101 & 117.89427568901 & -16.89427568901 \tabularnewline
129 & 108 & 99.0375303958064 & 8.96246960419365 \tabularnewline
130 & 135 & 91.6832490941525 & 43.3167509058475 \tabularnewline
131 & 70 & 96.7876567668998 & -26.7876567668998 \tabularnewline
132 & 124 & 78.6618656498707 & 45.3381343501292 \tabularnewline
133 & 92 & 92.4722941033693 & -0.472294103369281 \tabularnewline
134 & 104 & 96.2251016060125 & 7.77489839398747 \tabularnewline
135 & 113 & 89.6841593775508 & 23.3158406224492 \tabularnewline
136 & 95 & 100.82158107886 & -5.8215810788599 \tabularnewline
137 & 89 & 83.1022469283485 & 5.89775307165153 \tabularnewline
138 & 83 & 81.9815922021564 & 1.01840779784361 \tabularnewline
139 & 96 & 76.9341756662101 & 19.0658243337899 \tabularnewline
140 & 95 & 123.301275585181 & -28.3012755851808 \tabularnewline
141 & 110 & 97.3011721381652 & 12.6988278618348 \tabularnewline
142 & 106 & 102.053471314955 & 3.94652868504528 \tabularnewline
143 & 78 & 59.0263834244519 & 18.9736165755481 \tabularnewline
144 & 115 & 86.0001077689097 & 28.9998922310903 \tabularnewline
145 & 74 & 75.8976395917368 & -1.89763959173681 \tabularnewline
146 & 93 & 91.5102477120022 & 1.48975228799776 \tabularnewline
147 & 88 & 75.0501470016975 & 12.9498529983026 \tabularnewline
148 & 104 & 102.912999415858 & 1.08700058414178 \tabularnewline
149 & 86 & 83.8818520238777 & 2.11814797612233 \tabularnewline
150 & 104 & 69.3154149871641 & 34.6845850128359 \tabularnewline
151 & 99 & 81.1360007967552 & 17.8639992032448 \tabularnewline
152 & 101 & 84.8124009541788 & 16.1875990458212 \tabularnewline
153 & 53 & 80.4150105969005 & -27.4150105969005 \tabularnewline
154 & 96 & 83.4410689033023 & 12.5589310966977 \tabularnewline
155 & 58 & 68.2540363290413 & -10.2540363290413 \tabularnewline
156 & 117 & 86.3893880613348 & 30.6106119386652 \tabularnewline
157 & 82 & 87.2236417863044 & -5.22364178630445 \tabularnewline
158 & 57 & 92.2771932011013 & -35.2771932011013 \tabularnewline
159 & 71 & 77.7687776733428 & -6.76877767334284 \tabularnewline
160 & 105 & 85.7597937500962 & 19.2402062499038 \tabularnewline
161 & 60 & 87.8190567407482 & -27.8190567407482 \tabularnewline
162 & 77 & 79.2378495963938 & -2.23784959639376 \tabularnewline
163 & 73 & 51.0092342050204 & 21.9907657949796 \tabularnewline
164 & 78 & 61.0129506256023 & 16.9870493743977 \tabularnewline
165 & 81 & 96.0091672514505 & -15.0091672514505 \tabularnewline
166 & 101 & 65.9445862205534 & 35.0554137794465 \tabularnewline
167 & 118 & 80.7051719128954 & 37.2948280871046 \tabularnewline
168 & 59 & 74.4080117832237 & -15.4080117832237 \tabularnewline
169 & 101 & 67.5514012364728 & 33.4485987635272 \tabularnewline
170 & 22 & 89.008922007894 & -67.008922007894 \tabularnewline
171 & 77 & 57.1960450598381 & 19.8039549401619 \tabularnewline
172 & 100 & 71.5464494008333 & 28.4535505991667 \tabularnewline
173 & 39 & 77.1296357303644 & -38.1296357303644 \tabularnewline
174 & 42 & 55.2742914960131 & -13.2742914960131 \tabularnewline
175 & 80 & 81.34914705723 & -1.34914705723001 \tabularnewline
176 & 48 & 57.5626028450076 & -9.56260284500764 \tabularnewline
177 & 131 & 93.1776617173626 & 37.8223382826374 \tabularnewline
178 & 46 & 79.5798008197067 & -33.5798008197067 \tabularnewline
179 & 89 & 66.0006167727996 & 22.9993832272004 \tabularnewline
180 & 51 & 46.768872584648 & 4.23112741535197 \tabularnewline
181 & 108 & 87.6586747060697 & 20.3413252939303 \tabularnewline
182 & 86 & 74.4531295823503 & 11.5468704176497 \tabularnewline
183 & 105 & 78.7335834021008 & 26.2664165978992 \tabularnewline
184 & 85 & 84.4653567013649 & 0.534643298635085 \tabularnewline
185 & 103 & 71.1064796317344 & 31.8935203682656 \tabularnewline
186 & 83 & 75.2982542845494 & 7.70174571545058 \tabularnewline
187 & 77 & 60.0588887883148 & 16.9411112116852 \tabularnewline
188 & 26 & 62.1373781803798 & -36.1373781803798 \tabularnewline
189 & 73 & 68.0006222305634 & 4.99937776943661 \tabularnewline
190 & 42 & 51.2415012072147 & -9.24150120721472 \tabularnewline
191 & 71 & 65.2312679337232 & 5.76873206627683 \tabularnewline
192 & 105 & 101.473511248562 & 3.52648875143812 \tabularnewline
193 & 73 & 48.7103779947104 & 24.2896220052896 \tabularnewline
194 & 98 & 74.0957591999027 & 23.9042408000973 \tabularnewline
195 & 108 & 82.3060447513042 & 25.6939552486958 \tabularnewline
196 & 57 & 85.2368989598752 & -28.2368989598752 \tabularnewline
197 & 37 & 74.7747432927284 & -37.7747432927284 \tabularnewline
198 & 70 & 72.9652220467888 & -2.96522204678875 \tabularnewline
199 & 73 & 57.2889614098186 & 15.7110385901814 \tabularnewline
200 & 47 & 61.2710705196283 & -14.2710705196283 \tabularnewline
201 & 73 & 75.0428410442121 & -2.04284104421211 \tabularnewline
202 & 91 & 78.2969646870009 & 12.7030353129991 \tabularnewline
203 & 110 & 78.8143862147823 & 31.1856137852177 \tabularnewline
204 & 78 & 80.8139896373565 & -2.81398963735653 \tabularnewline
205 & 92 & 93.6133479255436 & -1.61334792554355 \tabularnewline
206 & 52 & 97.9291522060866 & -45.9291522060866 \tabularnewline
207 & 88 & 72.2000919055733 & 15.7999080944267 \tabularnewline
208 & 100 & 50.5507314006762 & 49.4492685993238 \tabularnewline
209 & 33 & 53.8601073663484 & -20.8601073663484 \tabularnewline
210 & 42 & 80.0611337102593 & -38.0611337102593 \tabularnewline
211 & 81 & 84.8223876633145 & -3.82238766331452 \tabularnewline
212 & 67 & 81.0195895120484 & -14.0195895120484 \tabularnewline
213 & 8 & 52.1894078166952 & -44.1894078166952 \tabularnewline
214 & 46 & 52.1839065582214 & -6.18390655822139 \tabularnewline
215 & 83 & 82.3047200364166 & 0.69527996358337 \tabularnewline
216 & 87 & 62.8781668127575 & 24.1218331872425 \tabularnewline
217 & 82 & 91.1922679512985 & -9.19226795129853 \tabularnewline
218 & 63 & 60.0239625496775 & 2.97603745032253 \tabularnewline
219 & 27 & 70.6352008436425 & -43.6352008436425 \tabularnewline
220 & 14 & 52.1531800338455 & -38.1531800338455 \tabularnewline
221 & 83 & 59.3366466853673 & 23.6633533146327 \tabularnewline
222 & 168 & 61.2379161148691 & 106.762083885131 \tabularnewline
223 & 67 & 61.9967132560947 & 5.00328674390535 \tabularnewline
224 & 21 & 61.1236688860415 & -40.1236688860415 \tabularnewline
225 & 55 & 89.2849080522341 & -34.2849080522341 \tabularnewline
226 & 54 & 87.290443055578 & -33.290443055578 \tabularnewline
227 & 118 & 73.8233528385148 & 44.1766471614852 \tabularnewline
228 & 69 & 49.3623927417263 & 19.6376072582737 \tabularnewline
229 & 77 & 42.9123399024228 & 34.0876600975772 \tabularnewline
230 & 72 & 84.472942016791 & -12.472942016791 \tabularnewline
231 & 53 & 51.2943910440508 & 1.70560895594919 \tabularnewline
232 & 40 & 57.8864200346967 & -17.8864200346967 \tabularnewline
233 & 102 & 59.1805543529398 & 42.8194456470602 \tabularnewline
234 & 25 & 64.2096810002189 & -39.2096810002189 \tabularnewline
235 & 31 & 57.9260168556028 & -26.9260168556028 \tabularnewline
236 & 77 & 50.151625057118 & 26.848374942882 \tabularnewline
237 & 38 & 71.6013795520957 & -33.6013795520957 \tabularnewline
238 & 23 & 73.8910897081926 & -50.8910897081926 \tabularnewline
239 & 91 & 54.0987924209205 & 36.9012075790795 \tabularnewline
240 & 58 & 59.6553675932969 & -1.65536759329689 \tabularnewline
241 & 42 & 58.430770223339 & -16.430770223339 \tabularnewline
242 & 44 & 65.8312737358753 & -21.8312737358753 \tabularnewline
243 & 58 & 54.572679511843 & 3.42732048815697 \tabularnewline
244 & 35 & 56.1137676518785 & -21.1137676518785 \tabularnewline
245 & 88 & 46.5277577167301 & 41.4722422832699 \tabularnewline
246 & 25 & 75.4130389856815 & -50.4130389856815 \tabularnewline
247 & 39 & 54.3462352016188 & -15.3462352016188 \tabularnewline
248 & 48 & 46.2715713502689 & 1.72842864973108 \tabularnewline
249 & 64 & 51.251700098548 & 12.748299901452 \tabularnewline
250 & 65 & 55.3087165180841 & 9.69128348191586 \tabularnewline
251 & 95 & 52.076849212543 & 42.923150787457 \tabularnewline
252 & 29 & 48.9642668619575 & -19.9642668619575 \tabularnewline
253 & 2 & 48.7962499910833 & -46.7962499910833 \tabularnewline
254 & 83 & 49.3098469534395 & 33.6901530465605 \tabularnewline
255 & 11 & 62.3403347797788 & -51.3403347797788 \tabularnewline
256 & 16 & 51.1160440841162 & -35.1160440841162 \tabularnewline
257 & 9 & 43.6860976832102 & -34.6860976832102 \tabularnewline
258 & 46 & 45.7911399789742 & 0.208860021025777 \tabularnewline
259 & 41 & 61.2981574408914 & -20.2981574408914 \tabularnewline
260 & 14 & 41.1527397331392 & -27.1527397331392 \tabularnewline
261 & 63 & 44.0968019844014 & 18.9031980155986 \tabularnewline
262 & 9 & 46.0107573028818 & -37.0107573028818 \tabularnewline
263 & 0 & 33.9591413453863 & -33.9591413453863 \tabularnewline
264 & 58 & 43.7981208409026 & 14.2018791590974 \tabularnewline
265 & 18 & 47.1979172311515 & -29.1979172311515 \tabularnewline
266 & 42 & 45.2790340135617 & -3.27903401356175 \tabularnewline
267 & 26 & 36.2902313088971 & -10.2902313088971 \tabularnewline
268 & 38 & 45.3733707674817 & -7.3733707674817 \tabularnewline
269 & 1 & 36.6933583658846 & -35.6933583658846 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205520&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]122[/C][C]160.05895863798[/C][C]-38.0589586379802[/C][/ROW]
[ROW][C]2[/C][C]114[/C][C]159.92230559117[/C][C]-45.9223055911701[/C][/ROW]
[ROW][C]3[/C][C]140[/C][C]149.057230022412[/C][C]-9.05723002241167[/C][/ROW]
[ROW][C]4[/C][C]143[/C][C]151.737633427593[/C][C]-8.73763342759273[/C][/ROW]
[ROW][C]5[/C][C]122[/C][C]141.339728882478[/C][C]-19.3397288824777[/C][/ROW]
[ROW][C]6[/C][C]127[/C][C]126.316896442702[/C][C]0.683103557298243[/C][/ROW]
[ROW][C]7[/C][C]113[/C][C]126.494619813984[/C][C]-13.4946198139835[/C][/ROW]
[ROW][C]8[/C][C]118[/C][C]132.174762070908[/C][C]-14.1747620709077[/C][/ROW]
[ROW][C]9[/C][C]161[/C][C]129.187194928511[/C][C]31.8128050714894[/C][/ROW]
[ROW][C]10[/C][C]134[/C][C]130.761895615996[/C][C]3.23810438400425[/C][/ROW]
[ROW][C]11[/C][C]96[/C][C]135.131704367536[/C][C]-39.1317043675364[/C][/ROW]
[ROW][C]12[/C][C]104[/C][C]119.232745835358[/C][C]-15.2327458353585[/C][/ROW]
[ROW][C]13[/C][C]135[/C][C]123.52261976295[/C][C]11.4773802370504[/C][/ROW]
[ROW][C]14[/C][C]110[/C][C]120.462449732701[/C][C]-10.462449732701[/C][/ROW]
[ROW][C]15[/C][C]128[/C][C]117.319612365391[/C][C]10.6803876346091[/C][/ROW]
[ROW][C]16[/C][C]142[/C][C]124.024931674629[/C][C]17.9750683253709[/C][/ROW]
[ROW][C]17[/C][C]117[/C][C]117.436888837768[/C][C]-0.436888837768028[/C][/ROW]
[ROW][C]18[/C][C]94[/C][C]122.16954304528[/C][C]-28.1695430452803[/C][/ROW]
[ROW][C]19[/C][C]135[/C][C]114.141024779651[/C][C]20.8589752203486[/C][/ROW]
[ROW][C]20[/C][C]121[/C][C]121.665562347385[/C][C]-0.665562347385427[/C][/ROW]
[ROW][C]21[/C][C]103[/C][C]118.157091452533[/C][C]-15.1570914525334[/C][/ROW]
[ROW][C]22[/C][C]118[/C][C]129.313256576917[/C][C]-11.3132565769172[/C][/ROW]
[ROW][C]23[/C][C]127[/C][C]116.053099357332[/C][C]10.9469006426679[/C][/ROW]
[ROW][C]24[/C][C]116[/C][C]126.307539488195[/C][C]-10.3075394881954[/C][/ROW]
[ROW][C]25[/C][C]129[/C][C]118.561841697855[/C][C]10.4381583021453[/C][/ROW]
[ROW][C]26[/C][C]115[/C][C]119.325754702699[/C][C]-4.32575470269948[/C][/ROW]
[ROW][C]27[/C][C]135[/C][C]118.54519248889[/C][C]16.4548075111102[/C][/ROW]
[ROW][C]28[/C][C]133[/C][C]110.907810232924[/C][C]22.0921897670755[/C][/ROW]
[ROW][C]29[/C][C]113[/C][C]114.896425835983[/C][C]-1.8964258359831[/C][/ROW]
[ROW][C]30[/C][C]111[/C][C]117.900344799043[/C][C]-6.90034479904292[/C][/ROW]
[ROW][C]31[/C][C]92[/C][C]116.872231868149[/C][C]-24.8722318681491[/C][/ROW]
[ROW][C]32[/C][C]118[/C][C]116.309827971096[/C][C]1.69017202890411[/C][/ROW]
[ROW][C]33[/C][C]134[/C][C]118.512749962349[/C][C]15.4872500376512[/C][/ROW]
[ROW][C]34[/C][C]106[/C][C]116.874053063042[/C][C]-10.8740530630416[/C][/ROW]
[ROW][C]35[/C][C]137[/C][C]114.639134708293[/C][C]22.3608652917072[/C][/ROW]
[ROW][C]36[/C][C]100[/C][C]113.152924323754[/C][C]-13.1529243237538[/C][/ROW]
[ROW][C]37[/C][C]102[/C][C]107.379196025876[/C][C]-5.37919602587634[/C][/ROW]
[ROW][C]38[/C][C]134[/C][C]116.038385372928[/C][C]17.9616146270724[/C][/ROW]
[ROW][C]39[/C][C]130[/C][C]111.991989235093[/C][C]18.0080107649068[/C][/ROW]
[ROW][C]40[/C][C]144[/C][C]110.673888954523[/C][C]33.3261110454773[/C][/ROW]
[ROW][C]41[/C][C]120[/C][C]109.603664938484[/C][C]10.3963350615161[/C][/ROW]
[ROW][C]42[/C][C]91[/C][C]103.835202072697[/C][C]-12.8352020726966[/C][/ROW]
[ROW][C]43[/C][C]100[/C][C]106.915471509756[/C][C]-6.9154715097557[/C][/ROW]
[ROW][C]44[/C][C]134[/C][C]117.866365299984[/C][C]16.1336347000159[/C][/ROW]
[ROW][C]45[/C][C]161[/C][C]114.461909888865[/C][C]46.5380901111354[/C][/ROW]
[ROW][C]46[/C][C]128[/C][C]107.819794254612[/C][C]20.1802057453879[/C][/ROW]
[ROW][C]47[/C][C]124[/C][C]115.220991987936[/C][C]8.7790080120641[/C][/ROW]
[ROW][C]48[/C][C]115[/C][C]112.621237362147[/C][C]2.37876263785273[/C][/ROW]
[ROW][C]49[/C][C]123[/C][C]113.20881801801[/C][C]9.79118198199044[/C][/ROW]
[ROW][C]50[/C][C]117[/C][C]115.316027006265[/C][C]1.68397299373541[/C][/ROW]
[ROW][C]51[/C][C]111[/C][C]110.87153209109[/C][C]0.128467908910319[/C][/ROW]
[ROW][C]52[/C][C]146[/C][C]107.223248506942[/C][C]38.7767514930581[/C][/ROW]
[ROW][C]53[/C][C]101[/C][C]113.697025399688[/C][C]-12.6970253996882[/C][/ROW]
[ROW][C]54[/C][C]131[/C][C]113.960094592155[/C][C]17.0399054078452[/C][/ROW]
[ROW][C]55[/C][C]122[/C][C]109.971865948832[/C][C]12.0281340511677[/C][/ROW]
[ROW][C]56[/C][C]78[/C][C]113.594799480828[/C][C]-35.5947994808284[/C][/ROW]
[ROW][C]57[/C][C]120[/C][C]107.133057680929[/C][C]12.8669423190713[/C][/ROW]
[ROW][C]58[/C][C]115[/C][C]112.657165337179[/C][C]2.34283466282081[/C][/ROW]
[ROW][C]59[/C][C]142[/C][C]109.241293220192[/C][C]32.7587067798084[/C][/ROW]
[ROW][C]60[/C][C]94[/C][C]114.233784085432[/C][C]-20.2337840854319[/C][/ROW]
[ROW][C]61[/C][C]114[/C][C]106.006810213121[/C][C]7.99318978687857[/C][/ROW]
[ROW][C]62[/C][C]108[/C][C]104.057235718354[/C][C]3.94276428164637[/C][/ROW]
[ROW][C]63[/C][C]119[/C][C]101.656865388083[/C][C]17.3431346119168[/C][/ROW]
[ROW][C]64[/C][C]117[/C][C]104.838391624085[/C][C]12.1616083759151[/C][/ROW]
[ROW][C]65[/C][C]86[/C][C]107.79070134854[/C][C]-21.7907013485402[/C][/ROW]
[ROW][C]66[/C][C]138[/C][C]108.554621014199[/C][C]29.4453789858011[/C][/ROW]
[ROW][C]67[/C][C]119[/C][C]109.560981206458[/C][C]9.43901879354217[/C][/ROW]
[ROW][C]68[/C][C]117[/C][C]101.668822489396[/C][C]15.3311775106043[/C][/ROW]
[ROW][C]69[/C][C]117[/C][C]102.855039729515[/C][C]14.1449602704848[/C][/ROW]
[ROW][C]70[/C][C]76[/C][C]103.840914811404[/C][C]-27.8409148114039[/C][/ROW]
[ROW][C]71[/C][C]119[/C][C]105.9296409531[/C][C]13.0703590468999[/C][/ROW]
[ROW][C]72[/C][C]119[/C][C]102.253941735096[/C][C]16.7460582649041[/C][/ROW]
[ROW][C]73[/C][C]124[/C][C]104.445979487837[/C][C]19.5540205121631[/C][/ROW]
[ROW][C]74[/C][C]116[/C][C]96.8646110312592[/C][C]19.1353889687408[/C][/ROW]
[ROW][C]75[/C][C]118[/C][C]101.376868628902[/C][C]16.6231313710979[/C][/ROW]
[ROW][C]76[/C][C]102[/C][C]104.245046581789[/C][C]-2.2450465817887[/C][/ROW]
[ROW][C]77[/C][C]116[/C][C]101.854336777909[/C][C]14.1456632220906[/C][/ROW]
[ROW][C]78[/C][C]103[/C][C]110.702274860645[/C][C]-7.70227486064535[/C][/ROW]
[ROW][C]79[/C][C]117[/C][C]99.8690571536821[/C][C]17.1309428463179[/C][/ROW]
[ROW][C]80[/C][C]108[/C][C]105.458629917184[/C][C]2.54137008281622[/C][/ROW]
[ROW][C]81[/C][C]122[/C][C]97.6256462774354[/C][C]24.3743537225646[/C][/ROW]
[ROW][C]82[/C][C]90[/C][C]103.096331858018[/C][C]-13.0963318580181[/C][/ROW]
[ROW][C]83[/C][C]133[/C][C]101.867807654802[/C][C]31.1321923451982[/C][/ROW]
[ROW][C]84[/C][C]116[/C][C]94.345561467608[/C][C]21.654438532392[/C][/ROW]
[ROW][C]85[/C][C]110[/C][C]99.5367962375859[/C][C]10.4632037624141[/C][/ROW]
[ROW][C]86[/C][C]90[/C][C]94.9957438494306[/C][C]-4.99574384943056[/C][/ROW]
[ROW][C]87[/C][C]74[/C][C]97.0057537312853[/C][C]-23.0057537312853[/C][/ROW]
[ROW][C]88[/C][C]75[/C][C]92.0590267454497[/C][C]-17.0590267454497[/C][/ROW]
[ROW][C]89[/C][C]107[/C][C]98.2750622918877[/C][C]8.72493770811231[/C][/ROW]
[ROW][C]90[/C][C]90[/C][C]103.562561958399[/C][C]-13.5625619583989[/C][/ROW]
[ROW][C]91[/C][C]96[/C][C]97.4451577797421[/C][C]-1.44515777974214[/C][/ROW]
[ROW][C]92[/C][C]115[/C][C]92.6717759908504[/C][C]22.3282240091495[/C][/ROW]
[ROW][C]93[/C][C]91[/C][C]91.8562032848145[/C][C]-0.856203284814547[/C][/ROW]
[ROW][C]94[/C][C]77[/C][C]103.623847420286[/C][C]-26.6238474202863[/C][/ROW]
[ROW][C]95[/C][C]108[/C][C]94.3646454017688[/C][C]13.6353545982312[/C][/ROW]
[ROW][C]96[/C][C]83[/C][C]95.7735776727611[/C][C]-12.7735776727611[/C][/ROW]
[ROW][C]97[/C][C]77[/C][C]94.5010303232572[/C][C]-17.5010303232572[/C][/ROW]
[ROW][C]98[/C][C]99[/C][C]99.8342285562566[/C][C]-0.834228556256636[/C][/ROW]
[ROW][C]99[/C][C]115[/C][C]95.1988784964598[/C][C]19.8011215035402[/C][/ROW]
[ROW][C]100[/C][C]99[/C][C]96.560157305981[/C][C]2.439842694019[/C][/ROW]
[ROW][C]101[/C][C]106[/C][C]92.2676187869149[/C][C]13.7323812130851[/C][/ROW]
[ROW][C]102[/C][C]77[/C][C]90.6121631958782[/C][C]-13.6121631958782[/C][/ROW]
[ROW][C]103[/C][C]115[/C][C]88.9489601770445[/C][C]26.0510398229555[/C][/ROW]
[ROW][C]104[/C][C]67[/C][C]87.4094348684326[/C][C]-20.4094348684326[/C][/ROW]
[ROW][C]105[/C][C]8[/C][C]84.2630215016126[/C][C]-76.2630215016126[/C][/ROW]
[ROW][C]106[/C][C]69[/C][C]90.1128560684857[/C][C]-21.1128560684857[/C][/ROW]
[ROW][C]107[/C][C]88[/C][C]90.4705676090455[/C][C]-2.47056760904552[/C][/ROW]
[ROW][C]108[/C][C]107[/C][C]83.8685602635157[/C][C]23.1314397364843[/C][/ROW]
[ROW][C]109[/C][C]120[/C][C]87.2118749759073[/C][C]32.7881250240928[/C][/ROW]
[ROW][C]110[/C][C]3[/C][C]74.6410516648055[/C][C]-71.6410516648055[/C][/ROW]
[ROW][C]111[/C][C]1[/C][C]74.4649670208362[/C][C]-73.4649670208362[/C][/ROW]
[ROW][C]112[/C][C]0[/C][C]70.6739639110056[/C][C]-70.6739639110056[/C][/ROW]
[ROW][C]113[/C][C]111[/C][C]99.074539474657[/C][C]11.925460525343[/C][/ROW]
[ROW][C]114[/C][C]69[/C][C]118.084368459567[/C][C]-49.0843684595669[/C][/ROW]
[ROW][C]115[/C][C]116[/C][C]106.950565629296[/C][C]9.04943437070372[/C][/ROW]
[ROW][C]116[/C][C]103[/C][C]83.4311500280438[/C][C]19.5688499719562[/C][/ROW]
[ROW][C]117[/C][C]139[/C][C]102.245569813704[/C][C]36.7544301862962[/C][/ROW]
[ROW][C]118[/C][C]135[/C][C]113.616895048867[/C][C]21.3831049511328[/C][/ROW]
[ROW][C]119[/C][C]113[/C][C]100.097705326299[/C][C]12.9022946737006[/C][/ROW]
[ROW][C]120[/C][C]99[/C][C]75.9326733459316[/C][C]23.0673266540684[/C][/ROW]
[ROW][C]121[/C][C]76[/C][C]99.5747700438431[/C][C]-23.5747700438431[/C][/ROW]
[ROW][C]122[/C][C]110[/C][C]83.1839177868432[/C][C]26.8160822131568[/C][/ROW]
[ROW][C]123[/C][C]121[/C][C]96.1397758842257[/C][C]24.8602241157743[/C][/ROW]
[ROW][C]124[/C][C]95[/C][C]106.829119954851[/C][C]-11.8291199548511[/C][/ROW]
[ROW][C]125[/C][C]66[/C][C]82.636366712787[/C][C]-16.636366712787[/C][/ROW]
[ROW][C]126[/C][C]111[/C][C]108.450237551174[/C][C]2.54976244882634[/C][/ROW]
[ROW][C]127[/C][C]77[/C][C]72.3192443114869[/C][C]4.68075568851314[/C][/ROW]
[ROW][C]128[/C][C]101[/C][C]117.89427568901[/C][C]-16.89427568901[/C][/ROW]
[ROW][C]129[/C][C]108[/C][C]99.0375303958064[/C][C]8.96246960419365[/C][/ROW]
[ROW][C]130[/C][C]135[/C][C]91.6832490941525[/C][C]43.3167509058475[/C][/ROW]
[ROW][C]131[/C][C]70[/C][C]96.7876567668998[/C][C]-26.7876567668998[/C][/ROW]
[ROW][C]132[/C][C]124[/C][C]78.6618656498707[/C][C]45.3381343501292[/C][/ROW]
[ROW][C]133[/C][C]92[/C][C]92.4722941033693[/C][C]-0.472294103369281[/C][/ROW]
[ROW][C]134[/C][C]104[/C][C]96.2251016060125[/C][C]7.77489839398747[/C][/ROW]
[ROW][C]135[/C][C]113[/C][C]89.6841593775508[/C][C]23.3158406224492[/C][/ROW]
[ROW][C]136[/C][C]95[/C][C]100.82158107886[/C][C]-5.8215810788599[/C][/ROW]
[ROW][C]137[/C][C]89[/C][C]83.1022469283485[/C][C]5.89775307165153[/C][/ROW]
[ROW][C]138[/C][C]83[/C][C]81.9815922021564[/C][C]1.01840779784361[/C][/ROW]
[ROW][C]139[/C][C]96[/C][C]76.9341756662101[/C][C]19.0658243337899[/C][/ROW]
[ROW][C]140[/C][C]95[/C][C]123.301275585181[/C][C]-28.3012755851808[/C][/ROW]
[ROW][C]141[/C][C]110[/C][C]97.3011721381652[/C][C]12.6988278618348[/C][/ROW]
[ROW][C]142[/C][C]106[/C][C]102.053471314955[/C][C]3.94652868504528[/C][/ROW]
[ROW][C]143[/C][C]78[/C][C]59.0263834244519[/C][C]18.9736165755481[/C][/ROW]
[ROW][C]144[/C][C]115[/C][C]86.0001077689097[/C][C]28.9998922310903[/C][/ROW]
[ROW][C]145[/C][C]74[/C][C]75.8976395917368[/C][C]-1.89763959173681[/C][/ROW]
[ROW][C]146[/C][C]93[/C][C]91.5102477120022[/C][C]1.48975228799776[/C][/ROW]
[ROW][C]147[/C][C]88[/C][C]75.0501470016975[/C][C]12.9498529983026[/C][/ROW]
[ROW][C]148[/C][C]104[/C][C]102.912999415858[/C][C]1.08700058414178[/C][/ROW]
[ROW][C]149[/C][C]86[/C][C]83.8818520238777[/C][C]2.11814797612233[/C][/ROW]
[ROW][C]150[/C][C]104[/C][C]69.3154149871641[/C][C]34.6845850128359[/C][/ROW]
[ROW][C]151[/C][C]99[/C][C]81.1360007967552[/C][C]17.8639992032448[/C][/ROW]
[ROW][C]152[/C][C]101[/C][C]84.8124009541788[/C][C]16.1875990458212[/C][/ROW]
[ROW][C]153[/C][C]53[/C][C]80.4150105969005[/C][C]-27.4150105969005[/C][/ROW]
[ROW][C]154[/C][C]96[/C][C]83.4410689033023[/C][C]12.5589310966977[/C][/ROW]
[ROW][C]155[/C][C]58[/C][C]68.2540363290413[/C][C]-10.2540363290413[/C][/ROW]
[ROW][C]156[/C][C]117[/C][C]86.3893880613348[/C][C]30.6106119386652[/C][/ROW]
[ROW][C]157[/C][C]82[/C][C]87.2236417863044[/C][C]-5.22364178630445[/C][/ROW]
[ROW][C]158[/C][C]57[/C][C]92.2771932011013[/C][C]-35.2771932011013[/C][/ROW]
[ROW][C]159[/C][C]71[/C][C]77.7687776733428[/C][C]-6.76877767334284[/C][/ROW]
[ROW][C]160[/C][C]105[/C][C]85.7597937500962[/C][C]19.2402062499038[/C][/ROW]
[ROW][C]161[/C][C]60[/C][C]87.8190567407482[/C][C]-27.8190567407482[/C][/ROW]
[ROW][C]162[/C][C]77[/C][C]79.2378495963938[/C][C]-2.23784959639376[/C][/ROW]
[ROW][C]163[/C][C]73[/C][C]51.0092342050204[/C][C]21.9907657949796[/C][/ROW]
[ROW][C]164[/C][C]78[/C][C]61.0129506256023[/C][C]16.9870493743977[/C][/ROW]
[ROW][C]165[/C][C]81[/C][C]96.0091672514505[/C][C]-15.0091672514505[/C][/ROW]
[ROW][C]166[/C][C]101[/C][C]65.9445862205534[/C][C]35.0554137794465[/C][/ROW]
[ROW][C]167[/C][C]118[/C][C]80.7051719128954[/C][C]37.2948280871046[/C][/ROW]
[ROW][C]168[/C][C]59[/C][C]74.4080117832237[/C][C]-15.4080117832237[/C][/ROW]
[ROW][C]169[/C][C]101[/C][C]67.5514012364728[/C][C]33.4485987635272[/C][/ROW]
[ROW][C]170[/C][C]22[/C][C]89.008922007894[/C][C]-67.008922007894[/C][/ROW]
[ROW][C]171[/C][C]77[/C][C]57.1960450598381[/C][C]19.8039549401619[/C][/ROW]
[ROW][C]172[/C][C]100[/C][C]71.5464494008333[/C][C]28.4535505991667[/C][/ROW]
[ROW][C]173[/C][C]39[/C][C]77.1296357303644[/C][C]-38.1296357303644[/C][/ROW]
[ROW][C]174[/C][C]42[/C][C]55.2742914960131[/C][C]-13.2742914960131[/C][/ROW]
[ROW][C]175[/C][C]80[/C][C]81.34914705723[/C][C]-1.34914705723001[/C][/ROW]
[ROW][C]176[/C][C]48[/C][C]57.5626028450076[/C][C]-9.56260284500764[/C][/ROW]
[ROW][C]177[/C][C]131[/C][C]93.1776617173626[/C][C]37.8223382826374[/C][/ROW]
[ROW][C]178[/C][C]46[/C][C]79.5798008197067[/C][C]-33.5798008197067[/C][/ROW]
[ROW][C]179[/C][C]89[/C][C]66.0006167727996[/C][C]22.9993832272004[/C][/ROW]
[ROW][C]180[/C][C]51[/C][C]46.768872584648[/C][C]4.23112741535197[/C][/ROW]
[ROW][C]181[/C][C]108[/C][C]87.6586747060697[/C][C]20.3413252939303[/C][/ROW]
[ROW][C]182[/C][C]86[/C][C]74.4531295823503[/C][C]11.5468704176497[/C][/ROW]
[ROW][C]183[/C][C]105[/C][C]78.7335834021008[/C][C]26.2664165978992[/C][/ROW]
[ROW][C]184[/C][C]85[/C][C]84.4653567013649[/C][C]0.534643298635085[/C][/ROW]
[ROW][C]185[/C][C]103[/C][C]71.1064796317344[/C][C]31.8935203682656[/C][/ROW]
[ROW][C]186[/C][C]83[/C][C]75.2982542845494[/C][C]7.70174571545058[/C][/ROW]
[ROW][C]187[/C][C]77[/C][C]60.0588887883148[/C][C]16.9411112116852[/C][/ROW]
[ROW][C]188[/C][C]26[/C][C]62.1373781803798[/C][C]-36.1373781803798[/C][/ROW]
[ROW][C]189[/C][C]73[/C][C]68.0006222305634[/C][C]4.99937776943661[/C][/ROW]
[ROW][C]190[/C][C]42[/C][C]51.2415012072147[/C][C]-9.24150120721472[/C][/ROW]
[ROW][C]191[/C][C]71[/C][C]65.2312679337232[/C][C]5.76873206627683[/C][/ROW]
[ROW][C]192[/C][C]105[/C][C]101.473511248562[/C][C]3.52648875143812[/C][/ROW]
[ROW][C]193[/C][C]73[/C][C]48.7103779947104[/C][C]24.2896220052896[/C][/ROW]
[ROW][C]194[/C][C]98[/C][C]74.0957591999027[/C][C]23.9042408000973[/C][/ROW]
[ROW][C]195[/C][C]108[/C][C]82.3060447513042[/C][C]25.6939552486958[/C][/ROW]
[ROW][C]196[/C][C]57[/C][C]85.2368989598752[/C][C]-28.2368989598752[/C][/ROW]
[ROW][C]197[/C][C]37[/C][C]74.7747432927284[/C][C]-37.7747432927284[/C][/ROW]
[ROW][C]198[/C][C]70[/C][C]72.9652220467888[/C][C]-2.96522204678875[/C][/ROW]
[ROW][C]199[/C][C]73[/C][C]57.2889614098186[/C][C]15.7110385901814[/C][/ROW]
[ROW][C]200[/C][C]47[/C][C]61.2710705196283[/C][C]-14.2710705196283[/C][/ROW]
[ROW][C]201[/C][C]73[/C][C]75.0428410442121[/C][C]-2.04284104421211[/C][/ROW]
[ROW][C]202[/C][C]91[/C][C]78.2969646870009[/C][C]12.7030353129991[/C][/ROW]
[ROW][C]203[/C][C]110[/C][C]78.8143862147823[/C][C]31.1856137852177[/C][/ROW]
[ROW][C]204[/C][C]78[/C][C]80.8139896373565[/C][C]-2.81398963735653[/C][/ROW]
[ROW][C]205[/C][C]92[/C][C]93.6133479255436[/C][C]-1.61334792554355[/C][/ROW]
[ROW][C]206[/C][C]52[/C][C]97.9291522060866[/C][C]-45.9291522060866[/C][/ROW]
[ROW][C]207[/C][C]88[/C][C]72.2000919055733[/C][C]15.7999080944267[/C][/ROW]
[ROW][C]208[/C][C]100[/C][C]50.5507314006762[/C][C]49.4492685993238[/C][/ROW]
[ROW][C]209[/C][C]33[/C][C]53.8601073663484[/C][C]-20.8601073663484[/C][/ROW]
[ROW][C]210[/C][C]42[/C][C]80.0611337102593[/C][C]-38.0611337102593[/C][/ROW]
[ROW][C]211[/C][C]81[/C][C]84.8223876633145[/C][C]-3.82238766331452[/C][/ROW]
[ROW][C]212[/C][C]67[/C][C]81.0195895120484[/C][C]-14.0195895120484[/C][/ROW]
[ROW][C]213[/C][C]8[/C][C]52.1894078166952[/C][C]-44.1894078166952[/C][/ROW]
[ROW][C]214[/C][C]46[/C][C]52.1839065582214[/C][C]-6.18390655822139[/C][/ROW]
[ROW][C]215[/C][C]83[/C][C]82.3047200364166[/C][C]0.69527996358337[/C][/ROW]
[ROW][C]216[/C][C]87[/C][C]62.8781668127575[/C][C]24.1218331872425[/C][/ROW]
[ROW][C]217[/C][C]82[/C][C]91.1922679512985[/C][C]-9.19226795129853[/C][/ROW]
[ROW][C]218[/C][C]63[/C][C]60.0239625496775[/C][C]2.97603745032253[/C][/ROW]
[ROW][C]219[/C][C]27[/C][C]70.6352008436425[/C][C]-43.6352008436425[/C][/ROW]
[ROW][C]220[/C][C]14[/C][C]52.1531800338455[/C][C]-38.1531800338455[/C][/ROW]
[ROW][C]221[/C][C]83[/C][C]59.3366466853673[/C][C]23.6633533146327[/C][/ROW]
[ROW][C]222[/C][C]168[/C][C]61.2379161148691[/C][C]106.762083885131[/C][/ROW]
[ROW][C]223[/C][C]67[/C][C]61.9967132560947[/C][C]5.00328674390535[/C][/ROW]
[ROW][C]224[/C][C]21[/C][C]61.1236688860415[/C][C]-40.1236688860415[/C][/ROW]
[ROW][C]225[/C][C]55[/C][C]89.2849080522341[/C][C]-34.2849080522341[/C][/ROW]
[ROW][C]226[/C][C]54[/C][C]87.290443055578[/C][C]-33.290443055578[/C][/ROW]
[ROW][C]227[/C][C]118[/C][C]73.8233528385148[/C][C]44.1766471614852[/C][/ROW]
[ROW][C]228[/C][C]69[/C][C]49.3623927417263[/C][C]19.6376072582737[/C][/ROW]
[ROW][C]229[/C][C]77[/C][C]42.9123399024228[/C][C]34.0876600975772[/C][/ROW]
[ROW][C]230[/C][C]72[/C][C]84.472942016791[/C][C]-12.472942016791[/C][/ROW]
[ROW][C]231[/C][C]53[/C][C]51.2943910440508[/C][C]1.70560895594919[/C][/ROW]
[ROW][C]232[/C][C]40[/C][C]57.8864200346967[/C][C]-17.8864200346967[/C][/ROW]
[ROW][C]233[/C][C]102[/C][C]59.1805543529398[/C][C]42.8194456470602[/C][/ROW]
[ROW][C]234[/C][C]25[/C][C]64.2096810002189[/C][C]-39.2096810002189[/C][/ROW]
[ROW][C]235[/C][C]31[/C][C]57.9260168556028[/C][C]-26.9260168556028[/C][/ROW]
[ROW][C]236[/C][C]77[/C][C]50.151625057118[/C][C]26.848374942882[/C][/ROW]
[ROW][C]237[/C][C]38[/C][C]71.6013795520957[/C][C]-33.6013795520957[/C][/ROW]
[ROW][C]238[/C][C]23[/C][C]73.8910897081926[/C][C]-50.8910897081926[/C][/ROW]
[ROW][C]239[/C][C]91[/C][C]54.0987924209205[/C][C]36.9012075790795[/C][/ROW]
[ROW][C]240[/C][C]58[/C][C]59.6553675932969[/C][C]-1.65536759329689[/C][/ROW]
[ROW][C]241[/C][C]42[/C][C]58.430770223339[/C][C]-16.430770223339[/C][/ROW]
[ROW][C]242[/C][C]44[/C][C]65.8312737358753[/C][C]-21.8312737358753[/C][/ROW]
[ROW][C]243[/C][C]58[/C][C]54.572679511843[/C][C]3.42732048815697[/C][/ROW]
[ROW][C]244[/C][C]35[/C][C]56.1137676518785[/C][C]-21.1137676518785[/C][/ROW]
[ROW][C]245[/C][C]88[/C][C]46.5277577167301[/C][C]41.4722422832699[/C][/ROW]
[ROW][C]246[/C][C]25[/C][C]75.4130389856815[/C][C]-50.4130389856815[/C][/ROW]
[ROW][C]247[/C][C]39[/C][C]54.3462352016188[/C][C]-15.3462352016188[/C][/ROW]
[ROW][C]248[/C][C]48[/C][C]46.2715713502689[/C][C]1.72842864973108[/C][/ROW]
[ROW][C]249[/C][C]64[/C][C]51.251700098548[/C][C]12.748299901452[/C][/ROW]
[ROW][C]250[/C][C]65[/C][C]55.3087165180841[/C][C]9.69128348191586[/C][/ROW]
[ROW][C]251[/C][C]95[/C][C]52.076849212543[/C][C]42.923150787457[/C][/ROW]
[ROW][C]252[/C][C]29[/C][C]48.9642668619575[/C][C]-19.9642668619575[/C][/ROW]
[ROW][C]253[/C][C]2[/C][C]48.7962499910833[/C][C]-46.7962499910833[/C][/ROW]
[ROW][C]254[/C][C]83[/C][C]49.3098469534395[/C][C]33.6901530465605[/C][/ROW]
[ROW][C]255[/C][C]11[/C][C]62.3403347797788[/C][C]-51.3403347797788[/C][/ROW]
[ROW][C]256[/C][C]16[/C][C]51.1160440841162[/C][C]-35.1160440841162[/C][/ROW]
[ROW][C]257[/C][C]9[/C][C]43.6860976832102[/C][C]-34.6860976832102[/C][/ROW]
[ROW][C]258[/C][C]46[/C][C]45.7911399789742[/C][C]0.208860021025777[/C][/ROW]
[ROW][C]259[/C][C]41[/C][C]61.2981574408914[/C][C]-20.2981574408914[/C][/ROW]
[ROW][C]260[/C][C]14[/C][C]41.1527397331392[/C][C]-27.1527397331392[/C][/ROW]
[ROW][C]261[/C][C]63[/C][C]44.0968019844014[/C][C]18.9031980155986[/C][/ROW]
[ROW][C]262[/C][C]9[/C][C]46.0107573028818[/C][C]-37.0107573028818[/C][/ROW]
[ROW][C]263[/C][C]0[/C][C]33.9591413453863[/C][C]-33.9591413453863[/C][/ROW]
[ROW][C]264[/C][C]58[/C][C]43.7981208409026[/C][C]14.2018791590974[/C][/ROW]
[ROW][C]265[/C][C]18[/C][C]47.1979172311515[/C][C]-29.1979172311515[/C][/ROW]
[ROW][C]266[/C][C]42[/C][C]45.2790340135617[/C][C]-3.27903401356175[/C][/ROW]
[ROW][C]267[/C][C]26[/C][C]36.2902313088971[/C][C]-10.2902313088971[/C][/ROW]
[ROW][C]268[/C][C]38[/C][C]45.3733707674817[/C][C]-7.3733707674817[/C][/ROW]
[ROW][C]269[/C][C]1[/C][C]36.6933583658846[/C][C]-35.6933583658846[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205520&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205520&T=4

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


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1122160.05895863798-38.0589586379802
2114159.92230559117-45.9223055911701
3140149.057230022412-9.05723002241167
4143151.737633427593-8.73763342759273
5122141.339728882478-19.3397288824777
6127126.3168964427020.683103557298243
7113126.494619813984-13.4946198139835
8118132.174762070908-14.1747620709077
9161129.18719492851131.8128050714894
10134130.7618956159963.23810438400425
1196135.131704367536-39.1317043675364
12104119.232745835358-15.2327458353585
13135123.5226197629511.4773802370504
14110120.462449732701-10.462449732701
15128117.31961236539110.6803876346091
16142124.02493167462917.9750683253709
17117117.436888837768-0.436888837768028
1894122.16954304528-28.1695430452803
19135114.14102477965120.8589752203486
20121121.665562347385-0.665562347385427
21103118.157091452533-15.1570914525334
22118129.313256576917-11.3132565769172
23127116.05309935733210.9469006426679
24116126.307539488195-10.3075394881954
25129118.56184169785510.4381583021453
26115119.325754702699-4.32575470269948
27135118.5451924888916.4548075111102
28133110.90781023292422.0921897670755
29113114.896425835983-1.8964258359831
30111117.900344799043-6.90034479904292
3192116.872231868149-24.8722318681491
32118116.3098279710961.69017202890411
33134118.51274996234915.4872500376512
34106116.874053063042-10.8740530630416
35137114.63913470829322.3608652917072
36100113.152924323754-13.1529243237538
37102107.379196025876-5.37919602587634
38134116.03838537292817.9616146270724
39130111.99198923509318.0080107649068
40144110.67388895452333.3261110454773
41120109.60366493848410.3963350615161
4291103.835202072697-12.8352020726966
43100106.915471509756-6.9154715097557
44134117.86636529998416.1336347000159
45161114.46190988886546.5380901111354
46128107.81979425461220.1802057453879
47124115.2209919879368.7790080120641
48115112.6212373621472.37876263785273
49123113.208818018019.79118198199044
50117115.3160270062651.68397299373541
51111110.871532091090.128467908910319
52146107.22324850694238.7767514930581
53101113.697025399688-12.6970253996882
54131113.96009459215517.0399054078452
55122109.97186594883212.0281340511677
5678113.594799480828-35.5947994808284
57120107.13305768092912.8669423190713
58115112.6571653371792.34283466282081
59142109.24129322019232.7587067798084
6094114.233784085432-20.2337840854319
61114106.0068102131217.99318978687857
62108104.0572357183543.94276428164637
63119101.65686538808317.3431346119168
64117104.83839162408512.1616083759151
6586107.79070134854-21.7907013485402
66138108.55462101419929.4453789858011
67119109.5609812064589.43901879354217
68117101.66882248939615.3311775106043
69117102.85503972951514.1449602704848
7076103.840914811404-27.8409148114039
71119105.929640953113.0703590468999
72119102.25394173509616.7460582649041
73124104.44597948783719.5540205121631
7411696.864611031259219.1353889687408
75118101.37686862890216.6231313710979
76102104.245046581789-2.2450465817887
77116101.85433677790914.1456632220906
78103110.702274860645-7.70227486064535
7911799.869057153682117.1309428463179
80108105.4586299171842.54137008281622
8112297.625646277435424.3743537225646
8290103.096331858018-13.0963318580181
83133101.86780765480231.1321923451982
8411694.34556146760821.654438532392
8511099.536796237585910.4632037624141
869094.9957438494306-4.99574384943056
877497.0057537312853-23.0057537312853
887592.0590267454497-17.0590267454497
8910798.27506229188778.72493770811231
9090103.562561958399-13.5625619583989
919697.4451577797421-1.44515777974214
9211592.671775990850422.3282240091495
939191.8562032848145-0.856203284814547
9477103.623847420286-26.6238474202863
9510894.364645401768813.6353545982312
968395.7735776727611-12.7735776727611
977794.5010303232572-17.5010303232572
989999.8342285562566-0.834228556256636
9911595.198878496459819.8011215035402
1009996.5601573059812.439842694019
10110692.267618786914913.7323812130851
1027790.6121631958782-13.6121631958782
10311588.948960177044526.0510398229555
1046787.4094348684326-20.4094348684326
105884.2630215016126-76.2630215016126
1066990.1128560684857-21.1128560684857
1078890.4705676090455-2.47056760904552
10810783.868560263515723.1314397364843
10912087.211874975907332.7881250240928
110374.6410516648055-71.6410516648055
111174.4649670208362-73.4649670208362
112070.6739639110056-70.6739639110056
11311199.07453947465711.925460525343
11469118.084368459567-49.0843684595669
115116106.9505656292969.04943437070372
11610383.431150028043819.5688499719562
117139102.24556981370436.7544301862962
118135113.61689504886721.3831049511328
119113100.09770532629912.9022946737006
1209975.932673345931623.0673266540684
1217699.5747700438431-23.5747700438431
12211083.183917786843226.8160822131568
12312196.139775884225724.8602241157743
12495106.829119954851-11.8291199548511
1256682.636366712787-16.636366712787
126111108.4502375511742.54976244882634
1277772.31924431148694.68075568851314
128101117.89427568901-16.89427568901
12910899.03753039580648.96246960419365
13013591.683249094152543.3167509058475
1317096.7876567668998-26.7876567668998
13212478.661865649870745.3381343501292
1339292.4722941033693-0.472294103369281
13410496.22510160601257.77489839398747
13511389.684159377550823.3158406224492
13695100.82158107886-5.8215810788599
1378983.10224692834855.89775307165153
1388381.98159220215641.01840779784361
1399676.934175666210119.0658243337899
14095123.301275585181-28.3012755851808
14111097.301172138165212.6988278618348
142106102.0534713149553.94652868504528
1437859.026383424451918.9736165755481
14411586.000107768909728.9998922310903
1457475.8976395917368-1.89763959173681
1469391.51024771200221.48975228799776
1478875.050147001697512.9498529983026
148104102.9129994158581.08700058414178
1498683.88185202387772.11814797612233
15010469.315414987164134.6845850128359
1519981.136000796755217.8639992032448
15210184.812400954178816.1875990458212
1535380.4150105969005-27.4150105969005
1549683.441068903302312.5589310966977
1555868.2540363290413-10.2540363290413
15611786.389388061334830.6106119386652
1578287.2236417863044-5.22364178630445
1585792.2771932011013-35.2771932011013
1597177.7687776733428-6.76877767334284
16010585.759793750096219.2402062499038
1616087.8190567407482-27.8190567407482
1627779.2378495963938-2.23784959639376
1637351.009234205020421.9907657949796
1647861.012950625602316.9870493743977
1658196.0091672514505-15.0091672514505
16610165.944586220553435.0554137794465
16711880.705171912895437.2948280871046
1685974.4080117832237-15.4080117832237
16910167.551401236472833.4485987635272
1702289.008922007894-67.008922007894
1717757.196045059838119.8039549401619
17210071.546449400833328.4535505991667
1733977.1296357303644-38.1296357303644
1744255.2742914960131-13.2742914960131
1758081.34914705723-1.34914705723001
1764857.5626028450076-9.56260284500764
17713193.177661717362637.8223382826374
1784679.5798008197067-33.5798008197067
1798966.000616772799622.9993832272004
1805146.7688725846484.23112741535197
18110887.658674706069720.3413252939303
1828674.453129582350311.5468704176497
18310578.733583402100826.2664165978992
1848584.46535670136490.534643298635085
18510371.106479631734431.8935203682656
1868375.29825428454947.70174571545058
1877760.058888788314816.9411112116852
1882662.1373781803798-36.1373781803798
1897368.00062223056344.99937776943661
1904251.2415012072147-9.24150120721472
1917165.23126793372325.76873206627683
192105101.4735112485623.52648875143812
1937348.710377994710424.2896220052896
1949874.095759199902723.9042408000973
19510882.306044751304225.6939552486958
1965785.2368989598752-28.2368989598752
1973774.7747432927284-37.7747432927284
1987072.9652220467888-2.96522204678875
1997357.288961409818615.7110385901814
2004761.2710705196283-14.2710705196283
2017375.0428410442121-2.04284104421211
2029178.296964687000912.7030353129991
20311078.814386214782331.1856137852177
2047880.8139896373565-2.81398963735653
2059293.6133479255436-1.61334792554355
2065297.9291522060866-45.9291522060866
2078872.200091905573315.7999080944267
20810050.550731400676249.4492685993238
2093353.8601073663484-20.8601073663484
2104280.0611337102593-38.0611337102593
2118184.8223876633145-3.82238766331452
2126781.0195895120484-14.0195895120484
213852.1894078166952-44.1894078166952
2144652.1839065582214-6.18390655822139
2158382.30472003641660.69527996358337
2168762.878166812757524.1218331872425
2178291.1922679512985-9.19226795129853
2186360.02396254967752.97603745032253
2192770.6352008436425-43.6352008436425
2201452.1531800338455-38.1531800338455
2218359.336646685367323.6633533146327
22216861.2379161148691106.762083885131
2236761.99671325609475.00328674390535
2242161.1236688860415-40.1236688860415
2255589.2849080522341-34.2849080522341
2265487.290443055578-33.290443055578
22711873.823352838514844.1766471614852
2286949.362392741726319.6376072582737
2297742.912339902422834.0876600975772
2307284.472942016791-12.472942016791
2315351.29439104405081.70560895594919
2324057.8864200346967-17.8864200346967
23310259.180554352939842.8194456470602
2342564.2096810002189-39.2096810002189
2353157.9260168556028-26.9260168556028
2367750.15162505711826.848374942882
2373871.6013795520957-33.6013795520957
2382373.8910897081926-50.8910897081926
2399154.098792420920536.9012075790795
2405859.6553675932969-1.65536759329689
2414258.430770223339-16.430770223339
2424465.8312737358753-21.8312737358753
2435854.5726795118433.42732048815697
2443556.1137676518785-21.1137676518785
2458846.527757716730141.4722422832699
2462575.4130389856815-50.4130389856815
2473954.3462352016188-15.3462352016188
2484846.27157135026891.72842864973108
2496451.25170009854812.748299901452
2506555.30871651808419.69128348191586
2519552.07684921254342.923150787457
2522948.9642668619575-19.9642668619575
253248.7962499910833-46.7962499910833
2548349.309846953439533.6901530465605
2551162.3403347797788-51.3403347797788
2561651.1160440841162-35.1160440841162
257943.6860976832102-34.6860976832102
2584645.79113997897420.208860021025777
2594161.2981574408914-20.2981574408914
2601441.1527397331392-27.1527397331392
2616344.096801984401418.9031980155986
262946.0107573028818-37.0107573028818
263033.9591413453863-33.9591413453863
2645843.798120840902614.2018791590974
2651847.1979172311515-29.1979172311515
2664245.2790340135617-3.27903401356175
2672636.2902313088971-10.2902313088971
2683845.3733707674817-7.3733707674817
269136.6933583658846-35.6933583658846






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
130.6464844498709550.7070311002580890.353515550129045
140.4981007659208760.9962015318417520.501899234079124
150.3879245197115490.7758490394230980.612075480288451
160.3053404877880910.6106809755761820.694659512211909
170.2051065402925830.4102130805851660.794893459707417
180.1369577584393440.2739155168786870.863042241560656
190.1118363864020990.2236727728041980.888163613597901
200.07372017952230050.1474403590446010.9262798204777
210.05939913830956250.1187982766191250.940600861690437
220.1057321103507780.2114642207015560.894267889649222
230.0708062527978070.1416125055956140.929193747202193
240.04650466037369520.09300932074739050.953495339626305
250.03002953098778530.06005906197557050.969970469012215
260.01867212311776650.03734424623553290.981327876882234
270.01443267263312070.02886534526624140.985567327366879
280.00906719293051210.01813438586102420.990932807069488
290.006291526714052960.01258305342810590.993708473285947
300.004435577652305330.008871155304610650.995564422347695
310.007637099071620820.01527419814324160.992362900928379
320.004603482101480770.009206964202961540.995396517898519
330.003834360939245420.007668721878490830.996165639060755
340.002645731833422140.005291463666844270.997354268166578
350.002348886698068040.004697773396136080.997651113301932
360.002157384577822280.004314769155644550.997842615422178
370.001768434027603290.003536868055206570.998231565972397
380.001610689275027190.003221378550054380.998389310724973
390.001918332032120460.003836664064240930.99808166796788
400.002412945916378720.004825891832757430.997587054083621
410.001483055594465060.002966111188930120.998516944405535
420.002507459977982560.005014919955965110.997492540022017
430.001825802702982560.003651605405965110.998174197297017
440.00138820047437610.00277640094875220.998611799525624
450.005242085354924210.01048417070984840.994757914645076
460.003873616577150720.007747233154301430.996126383422849
470.002557153185957640.005114306371915280.997442846814042
480.001700120284697840.003400240569395680.998299879715302
490.0011000333604350.002200066720870.998899966639565
500.0007421678587089050.001484335717417810.999257832141291
510.0005477704939521560.001095540987904310.999452229506048
520.0007649330883579260.001529866176715850.999235066911642
530.0007866724799273410.001573344959854680.999213327520073
540.0005422046636987780.001084409327397560.999457795336301
550.000348623596672980.0006972471933459590.999651376403327
560.001521811210822410.003043622421644830.998478188789178
570.001029304717585180.002058609435170350.998970695282415
580.0007074908651391440.001414981730278290.999292509134861
590.0007540734710330590.001508146942066120.999245926528967
600.0006843081889153190.001368616377830640.999315691811085
610.0004573507416792060.0009147014833584120.999542649258321
620.0003262207985983320.0006524415971966640.999673779201402
630.0002129075598562380.0004258151197124760.999787092440144
640.0001372514017123010.0002745028034246020.999862748598288
650.0002533618011171480.0005067236022342950.999746638198883
660.0002380155548252710.0004760311096505420.999761984445175
670.0001531374394468050.000306274878893610.999846862560553
689.73224654399509e-050.0001946449308799020.99990267753456
696.13545108373247e-050.0001227090216746490.999938645489163
700.0001990365128313790.0003980730256627580.999800963487169
710.0001381158354467430.0002762316708934860.999861884164553
729.11120559848849e-050.000182224111969770.999908887944015
736.2488909983229e-050.0001249778199664580.999937511090017
744.00829969690189e-058.01659939380379e-050.999959917003031
752.52171974043465e-055.04343948086931e-050.999974782802596
761.87829001574001e-053.75658003148002e-050.999981217099843
771.16222492470161e-052.32444984940322e-050.999988377750753
789.25835519666713e-061.85167103933343e-050.999990741644803
795.89564573016153e-061.17912914603231e-050.99999410435427
803.7831196068068e-067.56623921361361e-060.999996216880393
812.52586325690464e-065.05172651380929e-060.999997474136743
822.94703639973789e-065.89407279947578e-060.9999970529636
832.61683657863122e-065.23367315726243e-060.999997383163421
842.08899157380951e-064.17798314761903e-060.999997911008426
851.25630300864475e-062.5126060172895e-060.999998743696991
861.15745291461898e-062.31490582923797e-060.999998842547085
872.94526605011214e-065.89053210022427e-060.99999705473395
884.32942134728959e-068.65884269457918e-060.999995670578653
892.66245580215381e-065.32491160430762e-060.999997337544198
902.57001501062806e-065.14003002125613e-060.999997429984989
911.72552208826173e-063.45104417652346e-060.999998274477912
921.27675170646029e-062.55350341292058e-060.999998723248294
938.90656891603102e-071.7813137832062e-060.999999109343108
941.60343138860363e-063.20686277720726e-060.999998396568611
951.27946459795643e-062.55892919591286e-060.999998720535402
961.10990181133188e-062.21980362266377e-060.999998890098189
971.2459131840111e-062.4918263680222e-060.999998754086816
981.13304651393231e-062.26609302786462e-060.999998866953486
998.90354964237747e-071.78070992847549e-060.999999109645036
1005.4973577745256e-071.09947155490512e-060.999999450264223
1013.70580482782868e-077.41160965565735e-070.999999629419517
1024.51639558915614e-079.03279117831227e-070.999999548360441
1034.60567229192112e-079.21134458384224e-070.999999539432771
1045.40902805334688e-071.08180561066938e-060.999999459097195
1056.29241221314473e-050.0001258482442628950.999937075877869
1065.94194057196202e-050.000118838811439240.99994058059428
1074.24145685086841e-058.48291370173682e-050.999957585431491
1085.06080031719229e-050.0001012160063438460.999949391996828
1096.96051225265253e-050.0001392102450530510.999930394877473
1100.0002894469686227770.0005788939372455540.999710553031377
1110.0006956906663792220.001391381332758440.999304309333621
1120.0008713024845313010.00174260496906260.999128697515469
1130.0006423846614785780.001284769322957160.999357615338521
1140.001962305761812460.003924611523624920.998037694238188
1150.001731820124460210.003463640248920410.99826817987554
1160.01782575217834310.03565150435668620.982174247821657
1170.01739936606099220.03479873212198440.982600633939008
1180.01724266087030450.03448532174060890.982757339129696
1190.01745628306557820.03491256613115630.982543716934422
1200.01406648686465860.02813297372931720.985933513135341
1210.02762698605877520.05525397211755040.972373013941225
1220.02305950059280850.0461190011856170.976940499407192
1230.02016910068817860.04033820137635710.979830899311821
1240.02543868255408540.05087736510817080.974561317445915
1250.03122435990825630.06244871981651250.968775640091744
1260.02834255002562660.05668510005125320.971657449974373
1270.02425046228393490.04850092456786980.975749537716065
1280.03057593937485960.06115187874971920.96942406062514
1290.02545975536493390.05091951072986780.974540244635066
1300.02695417038505250.05390834077010510.973045829614947
1310.03921334284067290.07842668568134580.960786657159327
1320.0413584086949040.0827168173898080.958641591305096
1330.03608176073249440.07216352146498880.963918239267506
1340.02993223897341420.05986447794682840.970067761026586
1350.02496080681411260.04992161362822520.975039193185887
1360.02272528623759320.04545057247518640.977274713762407
1370.01883402737825320.03766805475650650.981165972621747
1380.0164909864711180.0329819729422360.983509013528882
1390.01351164992624970.02702329985249940.98648835007375
1400.01697059340628330.03394118681256660.983029406593717
1410.0140119451597040.02802389031940810.985988054840296
1420.01181533641832750.02363067283665490.988184663581673
1430.009643972965345930.01928794593069190.990356027034654
1440.008208408037482350.01641681607496470.991791591962518
1450.007407603267106420.01481520653421280.992592396732894
1460.006162570841051740.01232514168210350.993837429158948
1470.004782158478441940.009564316956883890.995217841521558
1480.003807331158507180.007614662317014350.996192668841493
1490.003071695676878240.006143391353756480.996928304323122
1500.002702591349540640.005405182699081290.997297408650459
1510.002081704615957980.004163409231915960.997918295384042
1520.001613988503119520.003227977006239040.99838601149688
1530.002464810970320650.004929621940641310.997535189029679
1540.001867811167200010.003735622334400010.9981321888328
1550.001807192084675930.003614384169351860.998192807915324
1560.001693225647660360.003386451295320730.99830677435234
1570.001393880955771320.002787761911542640.998606119044229
1580.002542158746011180.005084317492022360.997457841253989
1590.002199905667650470.004399811335300940.99780009433235
1600.001723561036498040.003447122072996080.998276438963502
1610.002460949411316710.004921898822633420.997539050588683
1620.002014470612589080.004028941225178170.997985529387411
1630.001546536542611630.003093073085223250.998453463457388
1640.001156517878647210.002313035757294420.998843482121353
1650.001137850319141320.002275700638282640.998862149680859
1660.001083655182281360.002167310364562710.998916344817719
1670.0011506585864490.0023013171728980.998849341413551
1680.001180768278179770.002361536556359540.99881923172182
1690.001048070953036730.002096141906073460.998951929046963
1700.009897587287983120.01979517457596620.990102412712017
1710.007862027346761560.01572405469352310.992137972653238
1720.006872077080121960.01374415416024390.993127922919878
1730.01348268642393090.02696537284786170.986517313576069
1740.01478376779255160.02956753558510320.985216232207448
1750.01234060019805360.02468120039610730.987659399801946
1760.01165218097126110.02330436194252220.988347819028739
1770.01222603451678760.02445206903357520.987773965483212
1780.0199816281951440.0399632563902880.980018371804856
1790.01661359327667580.03322718655335160.983386406723324
1800.01344040398197140.02688080796394280.986559596018029
1810.01099736211240340.02199472422480680.989002637887597
1820.008539810965996630.01707962193199330.991460189034003
1830.007384942584495940.01476988516899190.992615057415504
1840.005844431982812260.01168886396562450.994155568017188
1850.005474665109143130.01094933021828630.994525334890857
1860.004170039398177740.008340078796355490.995829960601822
1870.003199956536694950.006399913073389910.996800043463305
1880.005344240125608510.0106884802512170.994655759874391
1890.004101522784562850.008203045569125710.995898477215437
1900.003799095050852520.007598190101705040.996200904949147
1910.002865141671059450.00573028334211890.997134858328941
1920.002443936691361470.004887873382722950.997556063308639
1930.001937330871933660.003874661743867320.998062669128066
1940.001587539142793540.003175078285587080.998412460857206
1950.001531434841499980.003062869682999960.9984685651585
1960.001705273484770970.003410546969541930.998294726515229
1970.002936345041220140.005872690082440290.99706365495878
1980.002219906294556460.004439812589112920.997780093705444
1990.001638597732990570.003277195465981140.998361402267009
2000.00149423690284650.002988473805692990.998505763097154
2010.001098554390529040.002197108781058070.998901445609471
2020.0008267348972558780.001653469794511760.999173265102744
2030.0007437243669003410.001487448733800680.9992562756331
2040.0005308553543451930.001061710708690390.999469144645655
2050.0003713771090146510.0007427542180293020.999628622890985
2060.000651798221688680.001303596443377360.999348201778311
2070.0004888876522905950.0009777753045811890.999511112347709
2080.0007307233853028310.001461446770605660.999269276614697
2090.0007442123119499960.001488424623899990.99925578768805
2100.00116808020499130.00233616040998260.998831919795009
2110.0008252724542732150.001650544908546430.999174727545727
2120.0006396818653305430.001279363730661090.999360318134669
2130.001810986055217830.003621972110435670.998189013944782
2140.001383795308248690.002767590616497380.998616204691751
2150.0009665628682506470.001933125736501290.999033437131749
2160.0008352672051224310.001670534410244860.999164732794878
2170.0005835087677082790.001167017535416560.999416491232292
2180.0005062491516587650.001012498303317530.999493750848341
2190.0009522998516396780.001904599703279360.99904770014836
2200.002918314832876610.005836629665753210.997081685167123
2210.002197910796251190.004395821592502370.997802089203749
2220.1554557646402770.3109115292805550.844544235359723
2230.127899745769690.2557994915393810.87210025423031
2240.1574320830131120.3148641660262230.842567916986888
2250.1463128673056140.2926257346112290.853687132694386
2260.1467826806093330.2935653612186660.853217319390667
2270.2605906465888680.5211812931777350.739409353411132
2280.2565166828983890.5130333657967780.743483317101611
2290.2226264724574830.4452529449149670.777373527542517
2300.2145256609389410.4290513218778830.785474339061059
2310.1864591344579130.3729182689158260.813540865542087
2320.1560108424835630.3120216849671250.843989157516438
2330.3127850127615480.6255700255230950.687214987238452
2340.5106938880942360.9786122238115270.489306111905764
2350.4640584298935120.9281168597870250.535941570106488
2360.44415693901780.8883138780355990.5558430609822
2370.3988472410020280.7976944820040570.601152758997971
2380.4101119799832380.8202239599664750.589888020016762
2390.355652248425450.7113044968508990.64434775157455
2400.3057070714719490.6114141429438980.694292928528051
2410.2541355334929810.5082710669859610.745864466507019
2420.2064587065908140.4129174131816270.793541293409187
2430.1870684475576250.374136895115250.812931552442375
2440.1489796949524640.2979593899049290.851020305047536
2450.3284211192363620.6568422384727250.671578880763638
2460.2921715982274210.5843431964548410.707828401772579
2470.2616967217998350.523393443599670.738303278200165
2480.2072365347805950.414473069561190.792763465219405
2490.2521799553101170.5043599106202350.747820044689883
2500.2565798319079320.5131596638158640.743420168092068
2510.5658931004847630.8682137990304730.434106899515236
2520.4601909862239350.920381972447870.539809013776065
2530.4612061867076980.9224123734153950.538793813292302
2540.437379269902240.8747585398044790.56262073009776
2550.3557418281732550.7114836563465110.644258171826745
2560.2290142085726080.4580284171452160.770985791427392

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
13 & 0.646484449870955 & 0.707031100258089 & 0.353515550129045 \tabularnewline
14 & 0.498100765920876 & 0.996201531841752 & 0.501899234079124 \tabularnewline
15 & 0.387924519711549 & 0.775849039423098 & 0.612075480288451 \tabularnewline
16 & 0.305340487788091 & 0.610680975576182 & 0.694659512211909 \tabularnewline
17 & 0.205106540292583 & 0.410213080585166 & 0.794893459707417 \tabularnewline
18 & 0.136957758439344 & 0.273915516878687 & 0.863042241560656 \tabularnewline
19 & 0.111836386402099 & 0.223672772804198 & 0.888163613597901 \tabularnewline
20 & 0.0737201795223005 & 0.147440359044601 & 0.9262798204777 \tabularnewline
21 & 0.0593991383095625 & 0.118798276619125 & 0.940600861690437 \tabularnewline
22 & 0.105732110350778 & 0.211464220701556 & 0.894267889649222 \tabularnewline
23 & 0.070806252797807 & 0.141612505595614 & 0.929193747202193 \tabularnewline
24 & 0.0465046603736952 & 0.0930093207473905 & 0.953495339626305 \tabularnewline
25 & 0.0300295309877853 & 0.0600590619755705 & 0.969970469012215 \tabularnewline
26 & 0.0186721231177665 & 0.0373442462355329 & 0.981327876882234 \tabularnewline
27 & 0.0144326726331207 & 0.0288653452662414 & 0.985567327366879 \tabularnewline
28 & 0.0090671929305121 & 0.0181343858610242 & 0.990932807069488 \tabularnewline
29 & 0.00629152671405296 & 0.0125830534281059 & 0.993708473285947 \tabularnewline
30 & 0.00443557765230533 & 0.00887115530461065 & 0.995564422347695 \tabularnewline
31 & 0.00763709907162082 & 0.0152741981432416 & 0.992362900928379 \tabularnewline
32 & 0.00460348210148077 & 0.00920696420296154 & 0.995396517898519 \tabularnewline
33 & 0.00383436093924542 & 0.00766872187849083 & 0.996165639060755 \tabularnewline
34 & 0.00264573183342214 & 0.00529146366684427 & 0.997354268166578 \tabularnewline
35 & 0.00234888669806804 & 0.00469777339613608 & 0.997651113301932 \tabularnewline
36 & 0.00215738457782228 & 0.00431476915564455 & 0.997842615422178 \tabularnewline
37 & 0.00176843402760329 & 0.00353686805520657 & 0.998231565972397 \tabularnewline
38 & 0.00161068927502719 & 0.00322137855005438 & 0.998389310724973 \tabularnewline
39 & 0.00191833203212046 & 0.00383666406424093 & 0.99808166796788 \tabularnewline
40 & 0.00241294591637872 & 0.00482589183275743 & 0.997587054083621 \tabularnewline
41 & 0.00148305559446506 & 0.00296611118893012 & 0.998516944405535 \tabularnewline
42 & 0.00250745997798256 & 0.00501491995596511 & 0.997492540022017 \tabularnewline
43 & 0.00182580270298256 & 0.00365160540596511 & 0.998174197297017 \tabularnewline
44 & 0.0013882004743761 & 0.0027764009487522 & 0.998611799525624 \tabularnewline
45 & 0.00524208535492421 & 0.0104841707098484 & 0.994757914645076 \tabularnewline
46 & 0.00387361657715072 & 0.00774723315430143 & 0.996126383422849 \tabularnewline
47 & 0.00255715318595764 & 0.00511430637191528 & 0.997442846814042 \tabularnewline
48 & 0.00170012028469784 & 0.00340024056939568 & 0.998299879715302 \tabularnewline
49 & 0.001100033360435 & 0.00220006672087 & 0.998899966639565 \tabularnewline
50 & 0.000742167858708905 & 0.00148433571741781 & 0.999257832141291 \tabularnewline
51 & 0.000547770493952156 & 0.00109554098790431 & 0.999452229506048 \tabularnewline
52 & 0.000764933088357926 & 0.00152986617671585 & 0.999235066911642 \tabularnewline
53 & 0.000786672479927341 & 0.00157334495985468 & 0.999213327520073 \tabularnewline
54 & 0.000542204663698778 & 0.00108440932739756 & 0.999457795336301 \tabularnewline
55 & 0.00034862359667298 & 0.000697247193345959 & 0.999651376403327 \tabularnewline
56 & 0.00152181121082241 & 0.00304362242164483 & 0.998478188789178 \tabularnewline
57 & 0.00102930471758518 & 0.00205860943517035 & 0.998970695282415 \tabularnewline
58 & 0.000707490865139144 & 0.00141498173027829 & 0.999292509134861 \tabularnewline
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60 & 0.000684308188915319 & 0.00136861637783064 & 0.999315691811085 \tabularnewline
61 & 0.000457350741679206 & 0.000914701483358412 & 0.999542649258321 \tabularnewline
62 & 0.000326220798598332 & 0.000652441597196664 & 0.999673779201402 \tabularnewline
63 & 0.000212907559856238 & 0.000425815119712476 & 0.999787092440144 \tabularnewline
64 & 0.000137251401712301 & 0.000274502803424602 & 0.999862748598288 \tabularnewline
65 & 0.000253361801117148 & 0.000506723602234295 & 0.999746638198883 \tabularnewline
66 & 0.000238015554825271 & 0.000476031109650542 & 0.999761984445175 \tabularnewline
67 & 0.000153137439446805 & 0.00030627487889361 & 0.999846862560553 \tabularnewline
68 & 9.73224654399509e-05 & 0.000194644930879902 & 0.99990267753456 \tabularnewline
69 & 6.13545108373247e-05 & 0.000122709021674649 & 0.999938645489163 \tabularnewline
70 & 0.000199036512831379 & 0.000398073025662758 & 0.999800963487169 \tabularnewline
71 & 0.000138115835446743 & 0.000276231670893486 & 0.999861884164553 \tabularnewline
72 & 9.11120559848849e-05 & 0.00018222411196977 & 0.999908887944015 \tabularnewline
73 & 6.2488909983229e-05 & 0.000124977819966458 & 0.999937511090017 \tabularnewline
74 & 4.00829969690189e-05 & 8.01659939380379e-05 & 0.999959917003031 \tabularnewline
75 & 2.52171974043465e-05 & 5.04343948086931e-05 & 0.999974782802596 \tabularnewline
76 & 1.87829001574001e-05 & 3.75658003148002e-05 & 0.999981217099843 \tabularnewline
77 & 1.16222492470161e-05 & 2.32444984940322e-05 & 0.999988377750753 \tabularnewline
78 & 9.25835519666713e-06 & 1.85167103933343e-05 & 0.999990741644803 \tabularnewline
79 & 5.89564573016153e-06 & 1.17912914603231e-05 & 0.99999410435427 \tabularnewline
80 & 3.7831196068068e-06 & 7.56623921361361e-06 & 0.999996216880393 \tabularnewline
81 & 2.52586325690464e-06 & 5.05172651380929e-06 & 0.999997474136743 \tabularnewline
82 & 2.94703639973789e-06 & 5.89407279947578e-06 & 0.9999970529636 \tabularnewline
83 & 2.61683657863122e-06 & 5.23367315726243e-06 & 0.999997383163421 \tabularnewline
84 & 2.08899157380951e-06 & 4.17798314761903e-06 & 0.999997911008426 \tabularnewline
85 & 1.25630300864475e-06 & 2.5126060172895e-06 & 0.999998743696991 \tabularnewline
86 & 1.15745291461898e-06 & 2.31490582923797e-06 & 0.999998842547085 \tabularnewline
87 & 2.94526605011214e-06 & 5.89053210022427e-06 & 0.99999705473395 \tabularnewline
88 & 4.32942134728959e-06 & 8.65884269457918e-06 & 0.999995670578653 \tabularnewline
89 & 2.66245580215381e-06 & 5.32491160430762e-06 & 0.999997337544198 \tabularnewline
90 & 2.57001501062806e-06 & 5.14003002125613e-06 & 0.999997429984989 \tabularnewline
91 & 1.72552208826173e-06 & 3.45104417652346e-06 & 0.999998274477912 \tabularnewline
92 & 1.27675170646029e-06 & 2.55350341292058e-06 & 0.999998723248294 \tabularnewline
93 & 8.90656891603102e-07 & 1.7813137832062e-06 & 0.999999109343108 \tabularnewline
94 & 1.60343138860363e-06 & 3.20686277720726e-06 & 0.999998396568611 \tabularnewline
95 & 1.27946459795643e-06 & 2.55892919591286e-06 & 0.999998720535402 \tabularnewline
96 & 1.10990181133188e-06 & 2.21980362266377e-06 & 0.999998890098189 \tabularnewline
97 & 1.2459131840111e-06 & 2.4918263680222e-06 & 0.999998754086816 \tabularnewline
98 & 1.13304651393231e-06 & 2.26609302786462e-06 & 0.999998866953486 \tabularnewline
99 & 8.90354964237747e-07 & 1.78070992847549e-06 & 0.999999109645036 \tabularnewline
100 & 5.4973577745256e-07 & 1.09947155490512e-06 & 0.999999450264223 \tabularnewline
101 & 3.70580482782868e-07 & 7.41160965565735e-07 & 0.999999629419517 \tabularnewline
102 & 4.51639558915614e-07 & 9.03279117831227e-07 & 0.999999548360441 \tabularnewline
103 & 4.60567229192112e-07 & 9.21134458384224e-07 & 0.999999539432771 \tabularnewline
104 & 5.40902805334688e-07 & 1.08180561066938e-06 & 0.999999459097195 \tabularnewline
105 & 6.29241221314473e-05 & 0.000125848244262895 & 0.999937075877869 \tabularnewline
106 & 5.94194057196202e-05 & 0.00011883881143924 & 0.99994058059428 \tabularnewline
107 & 4.24145685086841e-05 & 8.48291370173682e-05 & 0.999957585431491 \tabularnewline
108 & 5.06080031719229e-05 & 0.000101216006343846 & 0.999949391996828 \tabularnewline
109 & 6.96051225265253e-05 & 0.000139210245053051 & 0.999930394877473 \tabularnewline
110 & 0.000289446968622777 & 0.000578893937245554 & 0.999710553031377 \tabularnewline
111 & 0.000695690666379222 & 0.00139138133275844 & 0.999304309333621 \tabularnewline
112 & 0.000871302484531301 & 0.0017426049690626 & 0.999128697515469 \tabularnewline
113 & 0.000642384661478578 & 0.00128476932295716 & 0.999357615338521 \tabularnewline
114 & 0.00196230576181246 & 0.00392461152362492 & 0.998037694238188 \tabularnewline
115 & 0.00173182012446021 & 0.00346364024892041 & 0.99826817987554 \tabularnewline
116 & 0.0178257521783431 & 0.0356515043566862 & 0.982174247821657 \tabularnewline
117 & 0.0173993660609922 & 0.0347987321219844 & 0.982600633939008 \tabularnewline
118 & 0.0172426608703045 & 0.0344853217406089 & 0.982757339129696 \tabularnewline
119 & 0.0174562830655782 & 0.0349125661311563 & 0.982543716934422 \tabularnewline
120 & 0.0140664868646586 & 0.0281329737293172 & 0.985933513135341 \tabularnewline
121 & 0.0276269860587752 & 0.0552539721175504 & 0.972373013941225 \tabularnewline
122 & 0.0230595005928085 & 0.046119001185617 & 0.976940499407192 \tabularnewline
123 & 0.0201691006881786 & 0.0403382013763571 & 0.979830899311821 \tabularnewline
124 & 0.0254386825540854 & 0.0508773651081708 & 0.974561317445915 \tabularnewline
125 & 0.0312243599082563 & 0.0624487198165125 & 0.968775640091744 \tabularnewline
126 & 0.0283425500256266 & 0.0566851000512532 & 0.971657449974373 \tabularnewline
127 & 0.0242504622839349 & 0.0485009245678698 & 0.975749537716065 \tabularnewline
128 & 0.0305759393748596 & 0.0611518787497192 & 0.96942406062514 \tabularnewline
129 & 0.0254597553649339 & 0.0509195107298678 & 0.974540244635066 \tabularnewline
130 & 0.0269541703850525 & 0.0539083407701051 & 0.973045829614947 \tabularnewline
131 & 0.0392133428406729 & 0.0784266856813458 & 0.960786657159327 \tabularnewline
132 & 0.041358408694904 & 0.082716817389808 & 0.958641591305096 \tabularnewline
133 & 0.0360817607324944 & 0.0721635214649888 & 0.963918239267506 \tabularnewline
134 & 0.0299322389734142 & 0.0598644779468284 & 0.970067761026586 \tabularnewline
135 & 0.0249608068141126 & 0.0499216136282252 & 0.975039193185887 \tabularnewline
136 & 0.0227252862375932 & 0.0454505724751864 & 0.977274713762407 \tabularnewline
137 & 0.0188340273782532 & 0.0376680547565065 & 0.981165972621747 \tabularnewline
138 & 0.016490986471118 & 0.032981972942236 & 0.983509013528882 \tabularnewline
139 & 0.0135116499262497 & 0.0270232998524994 & 0.98648835007375 \tabularnewline
140 & 0.0169705934062833 & 0.0339411868125666 & 0.983029406593717 \tabularnewline
141 & 0.014011945159704 & 0.0280238903194081 & 0.985988054840296 \tabularnewline
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144 & 0.00820840803748235 & 0.0164168160749647 & 0.991791591962518 \tabularnewline
145 & 0.00740760326710642 & 0.0148152065342128 & 0.992592396732894 \tabularnewline
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147 & 0.00478215847844194 & 0.00956431695688389 & 0.995217841521558 \tabularnewline
148 & 0.00380733115850718 & 0.00761466231701435 & 0.996192668841493 \tabularnewline
149 & 0.00307169567687824 & 0.00614339135375648 & 0.996928304323122 \tabularnewline
150 & 0.00270259134954064 & 0.00540518269908129 & 0.997297408650459 \tabularnewline
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152 & 0.00161398850311952 & 0.00322797700623904 & 0.99838601149688 \tabularnewline
153 & 0.00246481097032065 & 0.00492962194064131 & 0.997535189029679 \tabularnewline
154 & 0.00186781116720001 & 0.00373562233440001 & 0.9981321888328 \tabularnewline
155 & 0.00180719208467593 & 0.00361438416935186 & 0.998192807915324 \tabularnewline
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157 & 0.00139388095577132 & 0.00278776191154264 & 0.998606119044229 \tabularnewline
158 & 0.00254215874601118 & 0.00508431749202236 & 0.997457841253989 \tabularnewline
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160 & 0.00172356103649804 & 0.00344712207299608 & 0.998276438963502 \tabularnewline
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163 & 0.00154653654261163 & 0.00309307308522325 & 0.998453463457388 \tabularnewline
164 & 0.00115651787864721 & 0.00231303575729442 & 0.998843482121353 \tabularnewline
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167 & 0.001150658586449 & 0.002301317172898 & 0.998849341413551 \tabularnewline
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169 & 0.00104807095303673 & 0.00209614190607346 & 0.998951929046963 \tabularnewline
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171 & 0.00786202734676156 & 0.0157240546935231 & 0.992137972653238 \tabularnewline
172 & 0.00687207708012196 & 0.0137441541602439 & 0.993127922919878 \tabularnewline
173 & 0.0134826864239309 & 0.0269653728478617 & 0.986517313576069 \tabularnewline
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175 & 0.0123406001980536 & 0.0246812003961073 & 0.987659399801946 \tabularnewline
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178 & 0.019981628195144 & 0.039963256390288 & 0.980018371804856 \tabularnewline
179 & 0.0166135932766758 & 0.0332271865533516 & 0.983386406723324 \tabularnewline
180 & 0.0134404039819714 & 0.0268808079639428 & 0.986559596018029 \tabularnewline
181 & 0.0109973621124034 & 0.0219947242248068 & 0.989002637887597 \tabularnewline
182 & 0.00853981096599663 & 0.0170796219319933 & 0.991460189034003 \tabularnewline
183 & 0.00738494258449594 & 0.0147698851689919 & 0.992615057415504 \tabularnewline
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185 & 0.00547466510914313 & 0.0109493302182863 & 0.994525334890857 \tabularnewline
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218 & 0.000506249151658765 & 0.00101249830331753 & 0.999493750848341 \tabularnewline
219 & 0.000952299851639678 & 0.00190459970327936 & 0.99904770014836 \tabularnewline
220 & 0.00291831483287661 & 0.00583662966575321 & 0.997081685167123 \tabularnewline
221 & 0.00219791079625119 & 0.00439582159250237 & 0.997802089203749 \tabularnewline
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225 & 0.146312867305614 & 0.292625734611229 & 0.853687132694386 \tabularnewline
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227 & 0.260590646588868 & 0.521181293177735 & 0.739409353411132 \tabularnewline
228 & 0.256516682898389 & 0.513033365796778 & 0.743483317101611 \tabularnewline
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232 & 0.156010842483563 & 0.312021684967125 & 0.843989157516438 \tabularnewline
233 & 0.312785012761548 & 0.625570025523095 & 0.687214987238452 \tabularnewline
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237 & 0.398847241002028 & 0.797694482004057 & 0.601152758997971 \tabularnewline
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239 & 0.35565224842545 & 0.711304496850899 & 0.64434775157455 \tabularnewline
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247 & 0.261696721799835 & 0.52339344359967 & 0.738303278200165 \tabularnewline
248 & 0.207236534780595 & 0.41447306956119 & 0.792763465219405 \tabularnewline
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250 & 0.256579831907932 & 0.513159663815864 & 0.743420168092068 \tabularnewline
251 & 0.565893100484763 & 0.868213799030473 & 0.434106899515236 \tabularnewline
252 & 0.460190986223935 & 0.92038197244787 & 0.539809013776065 \tabularnewline
253 & 0.461206186707698 & 0.922412373415395 & 0.538793813292302 \tabularnewline
254 & 0.43737926990224 & 0.874758539804479 & 0.56262073009776 \tabularnewline
255 & 0.355741828173255 & 0.711483656346511 & 0.644258171826745 \tabularnewline
256 & 0.229014208572608 & 0.458028417145216 & 0.770985791427392 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205520&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]13[/C][C]0.646484449870955[/C][C]0.707031100258089[/C][C]0.353515550129045[/C][/ROW]
[ROW][C]14[/C][C]0.498100765920876[/C][C]0.996201531841752[/C][C]0.501899234079124[/C][/ROW]
[ROW][C]15[/C][C]0.387924519711549[/C][C]0.775849039423098[/C][C]0.612075480288451[/C][/ROW]
[ROW][C]16[/C][C]0.305340487788091[/C][C]0.610680975576182[/C][C]0.694659512211909[/C][/ROW]
[ROW][C]17[/C][C]0.205106540292583[/C][C]0.410213080585166[/C][C]0.794893459707417[/C][/ROW]
[ROW][C]18[/C][C]0.136957758439344[/C][C]0.273915516878687[/C][C]0.863042241560656[/C][/ROW]
[ROW][C]19[/C][C]0.111836386402099[/C][C]0.223672772804198[/C][C]0.888163613597901[/C][/ROW]
[ROW][C]20[/C][C]0.0737201795223005[/C][C]0.147440359044601[/C][C]0.9262798204777[/C][/ROW]
[ROW][C]21[/C][C]0.0593991383095625[/C][C]0.118798276619125[/C][C]0.940600861690437[/C][/ROW]
[ROW][C]22[/C][C]0.105732110350778[/C][C]0.211464220701556[/C][C]0.894267889649222[/C][/ROW]
[ROW][C]23[/C][C]0.070806252797807[/C][C]0.141612505595614[/C][C]0.929193747202193[/C][/ROW]
[ROW][C]24[/C][C]0.0465046603736952[/C][C]0.0930093207473905[/C][C]0.953495339626305[/C][/ROW]
[ROW][C]25[/C][C]0.0300295309877853[/C][C]0.0600590619755705[/C][C]0.969970469012215[/C][/ROW]
[ROW][C]26[/C][C]0.0186721231177665[/C][C]0.0373442462355329[/C][C]0.981327876882234[/C][/ROW]
[ROW][C]27[/C][C]0.0144326726331207[/C][C]0.0288653452662414[/C][C]0.985567327366879[/C][/ROW]
[ROW][C]28[/C][C]0.0090671929305121[/C][C]0.0181343858610242[/C][C]0.990932807069488[/C][/ROW]
[ROW][C]29[/C][C]0.00629152671405296[/C][C]0.0125830534281059[/C][C]0.993708473285947[/C][/ROW]
[ROW][C]30[/C][C]0.00443557765230533[/C][C]0.00887115530461065[/C][C]0.995564422347695[/C][/ROW]
[ROW][C]31[/C][C]0.00763709907162082[/C][C]0.0152741981432416[/C][C]0.992362900928379[/C][/ROW]
[ROW][C]32[/C][C]0.00460348210148077[/C][C]0.00920696420296154[/C][C]0.995396517898519[/C][/ROW]
[ROW][C]33[/C][C]0.00383436093924542[/C][C]0.00766872187849083[/C][C]0.996165639060755[/C][/ROW]
[ROW][C]34[/C][C]0.00264573183342214[/C][C]0.00529146366684427[/C][C]0.997354268166578[/C][/ROW]
[ROW][C]35[/C][C]0.00234888669806804[/C][C]0.00469777339613608[/C][C]0.997651113301932[/C][/ROW]
[ROW][C]36[/C][C]0.00215738457782228[/C][C]0.00431476915564455[/C][C]0.997842615422178[/C][/ROW]
[ROW][C]37[/C][C]0.00176843402760329[/C][C]0.00353686805520657[/C][C]0.998231565972397[/C][/ROW]
[ROW][C]38[/C][C]0.00161068927502719[/C][C]0.00322137855005438[/C][C]0.998389310724973[/C][/ROW]
[ROW][C]39[/C][C]0.00191833203212046[/C][C]0.00383666406424093[/C][C]0.99808166796788[/C][/ROW]
[ROW][C]40[/C][C]0.00241294591637872[/C][C]0.00482589183275743[/C][C]0.997587054083621[/C][/ROW]
[ROW][C]41[/C][C]0.00148305559446506[/C][C]0.00296611118893012[/C][C]0.998516944405535[/C][/ROW]
[ROW][C]42[/C][C]0.00250745997798256[/C][C]0.00501491995596511[/C][C]0.997492540022017[/C][/ROW]
[ROW][C]43[/C][C]0.00182580270298256[/C][C]0.00365160540596511[/C][C]0.998174197297017[/C][/ROW]
[ROW][C]44[/C][C]0.0013882004743761[/C][C]0.0027764009487522[/C][C]0.998611799525624[/C][/ROW]
[ROW][C]45[/C][C]0.00524208535492421[/C][C]0.0104841707098484[/C][C]0.994757914645076[/C][/ROW]
[ROW][C]46[/C][C]0.00387361657715072[/C][C]0.00774723315430143[/C][C]0.996126383422849[/C][/ROW]
[ROW][C]47[/C][C]0.00255715318595764[/C][C]0.00511430637191528[/C][C]0.997442846814042[/C][/ROW]
[ROW][C]48[/C][C]0.00170012028469784[/C][C]0.00340024056939568[/C][C]0.998299879715302[/C][/ROW]
[ROW][C]49[/C][C]0.001100033360435[/C][C]0.00220006672087[/C][C]0.998899966639565[/C][/ROW]
[ROW][C]50[/C][C]0.000742167858708905[/C][C]0.00148433571741781[/C][C]0.999257832141291[/C][/ROW]
[ROW][C]51[/C][C]0.000547770493952156[/C][C]0.00109554098790431[/C][C]0.999452229506048[/C][/ROW]
[ROW][C]52[/C][C]0.000764933088357926[/C][C]0.00152986617671585[/C][C]0.999235066911642[/C][/ROW]
[ROW][C]53[/C][C]0.000786672479927341[/C][C]0.00157334495985468[/C][C]0.999213327520073[/C][/ROW]
[ROW][C]54[/C][C]0.000542204663698778[/C][C]0.00108440932739756[/C][C]0.999457795336301[/C][/ROW]
[ROW][C]55[/C][C]0.00034862359667298[/C][C]0.000697247193345959[/C][C]0.999651376403327[/C][/ROW]
[ROW][C]56[/C][C]0.00152181121082241[/C][C]0.00304362242164483[/C][C]0.998478188789178[/C][/ROW]
[ROW][C]57[/C][C]0.00102930471758518[/C][C]0.00205860943517035[/C][C]0.998970695282415[/C][/ROW]
[ROW][C]58[/C][C]0.000707490865139144[/C][C]0.00141498173027829[/C][C]0.999292509134861[/C][/ROW]
[ROW][C]59[/C][C]0.000754073471033059[/C][C]0.00150814694206612[/C][C]0.999245926528967[/C][/ROW]
[ROW][C]60[/C][C]0.000684308188915319[/C][C]0.00136861637783064[/C][C]0.999315691811085[/C][/ROW]
[ROW][C]61[/C][C]0.000457350741679206[/C][C]0.000914701483358412[/C][C]0.999542649258321[/C][/ROW]
[ROW][C]62[/C][C]0.000326220798598332[/C][C]0.000652441597196664[/C][C]0.999673779201402[/C][/ROW]
[ROW][C]63[/C][C]0.000212907559856238[/C][C]0.000425815119712476[/C][C]0.999787092440144[/C][/ROW]
[ROW][C]64[/C][C]0.000137251401712301[/C][C]0.000274502803424602[/C][C]0.999862748598288[/C][/ROW]
[ROW][C]65[/C][C]0.000253361801117148[/C][C]0.000506723602234295[/C][C]0.999746638198883[/C][/ROW]
[ROW][C]66[/C][C]0.000238015554825271[/C][C]0.000476031109650542[/C][C]0.999761984445175[/C][/ROW]
[ROW][C]67[/C][C]0.000153137439446805[/C][C]0.00030627487889361[/C][C]0.999846862560553[/C][/ROW]
[ROW][C]68[/C][C]9.73224654399509e-05[/C][C]0.000194644930879902[/C][C]0.99990267753456[/C][/ROW]
[ROW][C]69[/C][C]6.13545108373247e-05[/C][C]0.000122709021674649[/C][C]0.999938645489163[/C][/ROW]
[ROW][C]70[/C][C]0.000199036512831379[/C][C]0.000398073025662758[/C][C]0.999800963487169[/C][/ROW]
[ROW][C]71[/C][C]0.000138115835446743[/C][C]0.000276231670893486[/C][C]0.999861884164553[/C][/ROW]
[ROW][C]72[/C][C]9.11120559848849e-05[/C][C]0.00018222411196977[/C][C]0.999908887944015[/C][/ROW]
[ROW][C]73[/C][C]6.2488909983229e-05[/C][C]0.000124977819966458[/C][C]0.999937511090017[/C][/ROW]
[ROW][C]74[/C][C]4.00829969690189e-05[/C][C]8.01659939380379e-05[/C][C]0.999959917003031[/C][/ROW]
[ROW][C]75[/C][C]2.52171974043465e-05[/C][C]5.04343948086931e-05[/C][C]0.999974782802596[/C][/ROW]
[ROW][C]76[/C][C]1.87829001574001e-05[/C][C]3.75658003148002e-05[/C][C]0.999981217099843[/C][/ROW]
[ROW][C]77[/C][C]1.16222492470161e-05[/C][C]2.32444984940322e-05[/C][C]0.999988377750753[/C][/ROW]
[ROW][C]78[/C][C]9.25835519666713e-06[/C][C]1.85167103933343e-05[/C][C]0.999990741644803[/C][/ROW]
[ROW][C]79[/C][C]5.89564573016153e-06[/C][C]1.17912914603231e-05[/C][C]0.99999410435427[/C][/ROW]
[ROW][C]80[/C][C]3.7831196068068e-06[/C][C]7.56623921361361e-06[/C][C]0.999996216880393[/C][/ROW]
[ROW][C]81[/C][C]2.52586325690464e-06[/C][C]5.05172651380929e-06[/C][C]0.999997474136743[/C][/ROW]
[ROW][C]82[/C][C]2.94703639973789e-06[/C][C]5.89407279947578e-06[/C][C]0.9999970529636[/C][/ROW]
[ROW][C]83[/C][C]2.61683657863122e-06[/C][C]5.23367315726243e-06[/C][C]0.999997383163421[/C][/ROW]
[ROW][C]84[/C][C]2.08899157380951e-06[/C][C]4.17798314761903e-06[/C][C]0.999997911008426[/C][/ROW]
[ROW][C]85[/C][C]1.25630300864475e-06[/C][C]2.5126060172895e-06[/C][C]0.999998743696991[/C][/ROW]
[ROW][C]86[/C][C]1.15745291461898e-06[/C][C]2.31490582923797e-06[/C][C]0.999998842547085[/C][/ROW]
[ROW][C]87[/C][C]2.94526605011214e-06[/C][C]5.89053210022427e-06[/C][C]0.99999705473395[/C][/ROW]
[ROW][C]88[/C][C]4.32942134728959e-06[/C][C]8.65884269457918e-06[/C][C]0.999995670578653[/C][/ROW]
[ROW][C]89[/C][C]2.66245580215381e-06[/C][C]5.32491160430762e-06[/C][C]0.999997337544198[/C][/ROW]
[ROW][C]90[/C][C]2.57001501062806e-06[/C][C]5.14003002125613e-06[/C][C]0.999997429984989[/C][/ROW]
[ROW][C]91[/C][C]1.72552208826173e-06[/C][C]3.45104417652346e-06[/C][C]0.999998274477912[/C][/ROW]
[ROW][C]92[/C][C]1.27675170646029e-06[/C][C]2.55350341292058e-06[/C][C]0.999998723248294[/C][/ROW]
[ROW][C]93[/C][C]8.90656891603102e-07[/C][C]1.7813137832062e-06[/C][C]0.999999109343108[/C][/ROW]
[ROW][C]94[/C][C]1.60343138860363e-06[/C][C]3.20686277720726e-06[/C][C]0.999998396568611[/C][/ROW]
[ROW][C]95[/C][C]1.27946459795643e-06[/C][C]2.55892919591286e-06[/C][C]0.999998720535402[/C][/ROW]
[ROW][C]96[/C][C]1.10990181133188e-06[/C][C]2.21980362266377e-06[/C][C]0.999998890098189[/C][/ROW]
[ROW][C]97[/C][C]1.2459131840111e-06[/C][C]2.4918263680222e-06[/C][C]0.999998754086816[/C][/ROW]
[ROW][C]98[/C][C]1.13304651393231e-06[/C][C]2.26609302786462e-06[/C][C]0.999998866953486[/C][/ROW]
[ROW][C]99[/C][C]8.90354964237747e-07[/C][C]1.78070992847549e-06[/C][C]0.999999109645036[/C][/ROW]
[ROW][C]100[/C][C]5.4973577745256e-07[/C][C]1.09947155490512e-06[/C][C]0.999999450264223[/C][/ROW]
[ROW][C]101[/C][C]3.70580482782868e-07[/C][C]7.41160965565735e-07[/C][C]0.999999629419517[/C][/ROW]
[ROW][C]102[/C][C]4.51639558915614e-07[/C][C]9.03279117831227e-07[/C][C]0.999999548360441[/C][/ROW]
[ROW][C]103[/C][C]4.60567229192112e-07[/C][C]9.21134458384224e-07[/C][C]0.999999539432771[/C][/ROW]
[ROW][C]104[/C][C]5.40902805334688e-07[/C][C]1.08180561066938e-06[/C][C]0.999999459097195[/C][/ROW]
[ROW][C]105[/C][C]6.29241221314473e-05[/C][C]0.000125848244262895[/C][C]0.999937075877869[/C][/ROW]
[ROW][C]106[/C][C]5.94194057196202e-05[/C][C]0.00011883881143924[/C][C]0.99994058059428[/C][/ROW]
[ROW][C]107[/C][C]4.24145685086841e-05[/C][C]8.48291370173682e-05[/C][C]0.999957585431491[/C][/ROW]
[ROW][C]108[/C][C]5.06080031719229e-05[/C][C]0.000101216006343846[/C][C]0.999949391996828[/C][/ROW]
[ROW][C]109[/C][C]6.96051225265253e-05[/C][C]0.000139210245053051[/C][C]0.999930394877473[/C][/ROW]
[ROW][C]110[/C][C]0.000289446968622777[/C][C]0.000578893937245554[/C][C]0.999710553031377[/C][/ROW]
[ROW][C]111[/C][C]0.000695690666379222[/C][C]0.00139138133275844[/C][C]0.999304309333621[/C][/ROW]
[ROW][C]112[/C][C]0.000871302484531301[/C][C]0.0017426049690626[/C][C]0.999128697515469[/C][/ROW]
[ROW][C]113[/C][C]0.000642384661478578[/C][C]0.00128476932295716[/C][C]0.999357615338521[/C][/ROW]
[ROW][C]114[/C][C]0.00196230576181246[/C][C]0.00392461152362492[/C][C]0.998037694238188[/C][/ROW]
[ROW][C]115[/C][C]0.00173182012446021[/C][C]0.00346364024892041[/C][C]0.99826817987554[/C][/ROW]
[ROW][C]116[/C][C]0.0178257521783431[/C][C]0.0356515043566862[/C][C]0.982174247821657[/C][/ROW]
[ROW][C]117[/C][C]0.0173993660609922[/C][C]0.0347987321219844[/C][C]0.982600633939008[/C][/ROW]
[ROW][C]118[/C][C]0.0172426608703045[/C][C]0.0344853217406089[/C][C]0.982757339129696[/C][/ROW]
[ROW][C]119[/C][C]0.0174562830655782[/C][C]0.0349125661311563[/C][C]0.982543716934422[/C][/ROW]
[ROW][C]120[/C][C]0.0140664868646586[/C][C]0.0281329737293172[/C][C]0.985933513135341[/C][/ROW]
[ROW][C]121[/C][C]0.0276269860587752[/C][C]0.0552539721175504[/C][C]0.972373013941225[/C][/ROW]
[ROW][C]122[/C][C]0.0230595005928085[/C][C]0.046119001185617[/C][C]0.976940499407192[/C][/ROW]
[ROW][C]123[/C][C]0.0201691006881786[/C][C]0.0403382013763571[/C][C]0.979830899311821[/C][/ROW]
[ROW][C]124[/C][C]0.0254386825540854[/C][C]0.0508773651081708[/C][C]0.974561317445915[/C][/ROW]
[ROW][C]125[/C][C]0.0312243599082563[/C][C]0.0624487198165125[/C][C]0.968775640091744[/C][/ROW]
[ROW][C]126[/C][C]0.0283425500256266[/C][C]0.0566851000512532[/C][C]0.971657449974373[/C][/ROW]
[ROW][C]127[/C][C]0.0242504622839349[/C][C]0.0485009245678698[/C][C]0.975749537716065[/C][/ROW]
[ROW][C]128[/C][C]0.0305759393748596[/C][C]0.0611518787497192[/C][C]0.96942406062514[/C][/ROW]
[ROW][C]129[/C][C]0.0254597553649339[/C][C]0.0509195107298678[/C][C]0.974540244635066[/C][/ROW]
[ROW][C]130[/C][C]0.0269541703850525[/C][C]0.0539083407701051[/C][C]0.973045829614947[/C][/ROW]
[ROW][C]131[/C][C]0.0392133428406729[/C][C]0.0784266856813458[/C][C]0.960786657159327[/C][/ROW]
[ROW][C]132[/C][C]0.041358408694904[/C][C]0.082716817389808[/C][C]0.958641591305096[/C][/ROW]
[ROW][C]133[/C][C]0.0360817607324944[/C][C]0.0721635214649888[/C][C]0.963918239267506[/C][/ROW]
[ROW][C]134[/C][C]0.0299322389734142[/C][C]0.0598644779468284[/C][C]0.970067761026586[/C][/ROW]
[ROW][C]135[/C][C]0.0249608068141126[/C][C]0.0499216136282252[/C][C]0.975039193185887[/C][/ROW]
[ROW][C]136[/C][C]0.0227252862375932[/C][C]0.0454505724751864[/C][C]0.977274713762407[/C][/ROW]
[ROW][C]137[/C][C]0.0188340273782532[/C][C]0.0376680547565065[/C][C]0.981165972621747[/C][/ROW]
[ROW][C]138[/C][C]0.016490986471118[/C][C]0.032981972942236[/C][C]0.983509013528882[/C][/ROW]
[ROW][C]139[/C][C]0.0135116499262497[/C][C]0.0270232998524994[/C][C]0.98648835007375[/C][/ROW]
[ROW][C]140[/C][C]0.0169705934062833[/C][C]0.0339411868125666[/C][C]0.983029406593717[/C][/ROW]
[ROW][C]141[/C][C]0.014011945159704[/C][C]0.0280238903194081[/C][C]0.985988054840296[/C][/ROW]
[ROW][C]142[/C][C]0.0118153364183275[/C][C]0.0236306728366549[/C][C]0.988184663581673[/C][/ROW]
[ROW][C]143[/C][C]0.00964397296534593[/C][C]0.0192879459306919[/C][C]0.990356027034654[/C][/ROW]
[ROW][C]144[/C][C]0.00820840803748235[/C][C]0.0164168160749647[/C][C]0.991791591962518[/C][/ROW]
[ROW][C]145[/C][C]0.00740760326710642[/C][C]0.0148152065342128[/C][C]0.992592396732894[/C][/ROW]
[ROW][C]146[/C][C]0.00616257084105174[/C][C]0.0123251416821035[/C][C]0.993837429158948[/C][/ROW]
[ROW][C]147[/C][C]0.00478215847844194[/C][C]0.00956431695688389[/C][C]0.995217841521558[/C][/ROW]
[ROW][C]148[/C][C]0.00380733115850718[/C][C]0.00761466231701435[/C][C]0.996192668841493[/C][/ROW]
[ROW][C]149[/C][C]0.00307169567687824[/C][C]0.00614339135375648[/C][C]0.996928304323122[/C][/ROW]
[ROW][C]150[/C][C]0.00270259134954064[/C][C]0.00540518269908129[/C][C]0.997297408650459[/C][/ROW]
[ROW][C]151[/C][C]0.00208170461595798[/C][C]0.00416340923191596[/C][C]0.997918295384042[/C][/ROW]
[ROW][C]152[/C][C]0.00161398850311952[/C][C]0.00322797700623904[/C][C]0.99838601149688[/C][/ROW]
[ROW][C]153[/C][C]0.00246481097032065[/C][C]0.00492962194064131[/C][C]0.997535189029679[/C][/ROW]
[ROW][C]154[/C][C]0.00186781116720001[/C][C]0.00373562233440001[/C][C]0.9981321888328[/C][/ROW]
[ROW][C]155[/C][C]0.00180719208467593[/C][C]0.00361438416935186[/C][C]0.998192807915324[/C][/ROW]
[ROW][C]156[/C][C]0.00169322564766036[/C][C]0.00338645129532073[/C][C]0.99830677435234[/C][/ROW]
[ROW][C]157[/C][C]0.00139388095577132[/C][C]0.00278776191154264[/C][C]0.998606119044229[/C][/ROW]
[ROW][C]158[/C][C]0.00254215874601118[/C][C]0.00508431749202236[/C][C]0.997457841253989[/C][/ROW]
[ROW][C]159[/C][C]0.00219990566765047[/C][C]0.00439981133530094[/C][C]0.99780009433235[/C][/ROW]
[ROW][C]160[/C][C]0.00172356103649804[/C][C]0.00344712207299608[/C][C]0.998276438963502[/C][/ROW]
[ROW][C]161[/C][C]0.00246094941131671[/C][C]0.00492189882263342[/C][C]0.997539050588683[/C][/ROW]
[ROW][C]162[/C][C]0.00201447061258908[/C][C]0.00402894122517817[/C][C]0.997985529387411[/C][/ROW]
[ROW][C]163[/C][C]0.00154653654261163[/C][C]0.00309307308522325[/C][C]0.998453463457388[/C][/ROW]
[ROW][C]164[/C][C]0.00115651787864721[/C][C]0.00231303575729442[/C][C]0.998843482121353[/C][/ROW]
[ROW][C]165[/C][C]0.00113785031914132[/C][C]0.00227570063828264[/C][C]0.998862149680859[/C][/ROW]
[ROW][C]166[/C][C]0.00108365518228136[/C][C]0.00216731036456271[/C][C]0.998916344817719[/C][/ROW]
[ROW][C]167[/C][C]0.001150658586449[/C][C]0.002301317172898[/C][C]0.998849341413551[/C][/ROW]
[ROW][C]168[/C][C]0.00118076827817977[/C][C]0.00236153655635954[/C][C]0.99881923172182[/C][/ROW]
[ROW][C]169[/C][C]0.00104807095303673[/C][C]0.00209614190607346[/C][C]0.998951929046963[/C][/ROW]
[ROW][C]170[/C][C]0.00989758728798312[/C][C]0.0197951745759662[/C][C]0.990102412712017[/C][/ROW]
[ROW][C]171[/C][C]0.00786202734676156[/C][C]0.0157240546935231[/C][C]0.992137972653238[/C][/ROW]
[ROW][C]172[/C][C]0.00687207708012196[/C][C]0.0137441541602439[/C][C]0.993127922919878[/C][/ROW]
[ROW][C]173[/C][C]0.0134826864239309[/C][C]0.0269653728478617[/C][C]0.986517313576069[/C][/ROW]
[ROW][C]174[/C][C]0.0147837677925516[/C][C]0.0295675355851032[/C][C]0.985216232207448[/C][/ROW]
[ROW][C]175[/C][C]0.0123406001980536[/C][C]0.0246812003961073[/C][C]0.987659399801946[/C][/ROW]
[ROW][C]176[/C][C]0.0116521809712611[/C][C]0.0233043619425222[/C][C]0.988347819028739[/C][/ROW]
[ROW][C]177[/C][C]0.0122260345167876[/C][C]0.0244520690335752[/C][C]0.987773965483212[/C][/ROW]
[ROW][C]178[/C][C]0.019981628195144[/C][C]0.039963256390288[/C][C]0.980018371804856[/C][/ROW]
[ROW][C]179[/C][C]0.0166135932766758[/C][C]0.0332271865533516[/C][C]0.983386406723324[/C][/ROW]
[ROW][C]180[/C][C]0.0134404039819714[/C][C]0.0268808079639428[/C][C]0.986559596018029[/C][/ROW]
[ROW][C]181[/C][C]0.0109973621124034[/C][C]0.0219947242248068[/C][C]0.989002637887597[/C][/ROW]
[ROW][C]182[/C][C]0.00853981096599663[/C][C]0.0170796219319933[/C][C]0.991460189034003[/C][/ROW]
[ROW][C]183[/C][C]0.00738494258449594[/C][C]0.0147698851689919[/C][C]0.992615057415504[/C][/ROW]
[ROW][C]184[/C][C]0.00584443198281226[/C][C]0.0116888639656245[/C][C]0.994155568017188[/C][/ROW]
[ROW][C]185[/C][C]0.00547466510914313[/C][C]0.0109493302182863[/C][C]0.994525334890857[/C][/ROW]
[ROW][C]186[/C][C]0.00417003939817774[/C][C]0.00834007879635549[/C][C]0.995829960601822[/C][/ROW]
[ROW][C]187[/C][C]0.00319995653669495[/C][C]0.00639991307338991[/C][C]0.996800043463305[/C][/ROW]
[ROW][C]188[/C][C]0.00534424012560851[/C][C]0.010688480251217[/C][C]0.994655759874391[/C][/ROW]
[ROW][C]189[/C][C]0.00410152278456285[/C][C]0.00820304556912571[/C][C]0.995898477215437[/C][/ROW]
[ROW][C]190[/C][C]0.00379909505085252[/C][C]0.00759819010170504[/C][C]0.996200904949147[/C][/ROW]
[ROW][C]191[/C][C]0.00286514167105945[/C][C]0.0057302833421189[/C][C]0.997134858328941[/C][/ROW]
[ROW][C]192[/C][C]0.00244393669136147[/C][C]0.00488787338272295[/C][C]0.997556063308639[/C][/ROW]
[ROW][C]193[/C][C]0.00193733087193366[/C][C]0.00387466174386732[/C][C]0.998062669128066[/C][/ROW]
[ROW][C]194[/C][C]0.00158753914279354[/C][C]0.00317507828558708[/C][C]0.998412460857206[/C][/ROW]
[ROW][C]195[/C][C]0.00153143484149998[/C][C]0.00306286968299996[/C][C]0.9984685651585[/C][/ROW]
[ROW][C]196[/C][C]0.00170527348477097[/C][C]0.00341054696954193[/C][C]0.998294726515229[/C][/ROW]
[ROW][C]197[/C][C]0.00293634504122014[/C][C]0.00587269008244029[/C][C]0.99706365495878[/C][/ROW]
[ROW][C]198[/C][C]0.00221990629455646[/C][C]0.00443981258911292[/C][C]0.997780093705444[/C][/ROW]
[ROW][C]199[/C][C]0.00163859773299057[/C][C]0.00327719546598114[/C][C]0.998361402267009[/C][/ROW]
[ROW][C]200[/C][C]0.0014942369028465[/C][C]0.00298847380569299[/C][C]0.998505763097154[/C][/ROW]
[ROW][C]201[/C][C]0.00109855439052904[/C][C]0.00219710878105807[/C][C]0.998901445609471[/C][/ROW]
[ROW][C]202[/C][C]0.000826734897255878[/C][C]0.00165346979451176[/C][C]0.999173265102744[/C][/ROW]
[ROW][C]203[/C][C]0.000743724366900341[/C][C]0.00148744873380068[/C][C]0.9992562756331[/C][/ROW]
[ROW][C]204[/C][C]0.000530855354345193[/C][C]0.00106171070869039[/C][C]0.999469144645655[/C][/ROW]
[ROW][C]205[/C][C]0.000371377109014651[/C][C]0.000742754218029302[/C][C]0.999628622890985[/C][/ROW]
[ROW][C]206[/C][C]0.00065179822168868[/C][C]0.00130359644337736[/C][C]0.999348201778311[/C][/ROW]
[ROW][C]207[/C][C]0.000488887652290595[/C][C]0.000977775304581189[/C][C]0.999511112347709[/C][/ROW]
[ROW][C]208[/C][C]0.000730723385302831[/C][C]0.00146144677060566[/C][C]0.999269276614697[/C][/ROW]
[ROW][C]209[/C][C]0.000744212311949996[/C][C]0.00148842462389999[/C][C]0.99925578768805[/C][/ROW]
[ROW][C]210[/C][C]0.0011680802049913[/C][C]0.0023361604099826[/C][C]0.998831919795009[/C][/ROW]
[ROW][C]211[/C][C]0.000825272454273215[/C][C]0.00165054490854643[/C][C]0.999174727545727[/C][/ROW]
[ROW][C]212[/C][C]0.000639681865330543[/C][C]0.00127936373066109[/C][C]0.999360318134669[/C][/ROW]
[ROW][C]213[/C][C]0.00181098605521783[/C][C]0.00362197211043567[/C][C]0.998189013944782[/C][/ROW]
[ROW][C]214[/C][C]0.00138379530824869[/C][C]0.00276759061649738[/C][C]0.998616204691751[/C][/ROW]
[ROW][C]215[/C][C]0.000966562868250647[/C][C]0.00193312573650129[/C][C]0.999033437131749[/C][/ROW]
[ROW][C]216[/C][C]0.000835267205122431[/C][C]0.00167053441024486[/C][C]0.999164732794878[/C][/ROW]
[ROW][C]217[/C][C]0.000583508767708279[/C][C]0.00116701753541656[/C][C]0.999416491232292[/C][/ROW]
[ROW][C]218[/C][C]0.000506249151658765[/C][C]0.00101249830331753[/C][C]0.999493750848341[/C][/ROW]
[ROW][C]219[/C][C]0.000952299851639678[/C][C]0.00190459970327936[/C][C]0.99904770014836[/C][/ROW]
[ROW][C]220[/C][C]0.00291831483287661[/C][C]0.00583662966575321[/C][C]0.997081685167123[/C][/ROW]
[ROW][C]221[/C][C]0.00219791079625119[/C][C]0.00439582159250237[/C][C]0.997802089203749[/C][/ROW]
[ROW][C]222[/C][C]0.155455764640277[/C][C]0.310911529280555[/C][C]0.844544235359723[/C][/ROW]
[ROW][C]223[/C][C]0.12789974576969[/C][C]0.255799491539381[/C][C]0.87210025423031[/C][/ROW]
[ROW][C]224[/C][C]0.157432083013112[/C][C]0.314864166026223[/C][C]0.842567916986888[/C][/ROW]
[ROW][C]225[/C][C]0.146312867305614[/C][C]0.292625734611229[/C][C]0.853687132694386[/C][/ROW]
[ROW][C]226[/C][C]0.146782680609333[/C][C]0.293565361218666[/C][C]0.853217319390667[/C][/ROW]
[ROW][C]227[/C][C]0.260590646588868[/C][C]0.521181293177735[/C][C]0.739409353411132[/C][/ROW]
[ROW][C]228[/C][C]0.256516682898389[/C][C]0.513033365796778[/C][C]0.743483317101611[/C][/ROW]
[ROW][C]229[/C][C]0.222626472457483[/C][C]0.445252944914967[/C][C]0.777373527542517[/C][/ROW]
[ROW][C]230[/C][C]0.214525660938941[/C][C]0.429051321877883[/C][C]0.785474339061059[/C][/ROW]
[ROW][C]231[/C][C]0.186459134457913[/C][C]0.372918268915826[/C][C]0.813540865542087[/C][/ROW]
[ROW][C]232[/C][C]0.156010842483563[/C][C]0.312021684967125[/C][C]0.843989157516438[/C][/ROW]
[ROW][C]233[/C][C]0.312785012761548[/C][C]0.625570025523095[/C][C]0.687214987238452[/C][/ROW]
[ROW][C]234[/C][C]0.510693888094236[/C][C]0.978612223811527[/C][C]0.489306111905764[/C][/ROW]
[ROW][C]235[/C][C]0.464058429893512[/C][C]0.928116859787025[/C][C]0.535941570106488[/C][/ROW]
[ROW][C]236[/C][C]0.4441569390178[/C][C]0.888313878035599[/C][C]0.5558430609822[/C][/ROW]
[ROW][C]237[/C][C]0.398847241002028[/C][C]0.797694482004057[/C][C]0.601152758997971[/C][/ROW]
[ROW][C]238[/C][C]0.410111979983238[/C][C]0.820223959966475[/C][C]0.589888020016762[/C][/ROW]
[ROW][C]239[/C][C]0.35565224842545[/C][C]0.711304496850899[/C][C]0.64434775157455[/C][/ROW]
[ROW][C]240[/C][C]0.305707071471949[/C][C]0.611414142943898[/C][C]0.694292928528051[/C][/ROW]
[ROW][C]241[/C][C]0.254135533492981[/C][C]0.508271066985961[/C][C]0.745864466507019[/C][/ROW]
[ROW][C]242[/C][C]0.206458706590814[/C][C]0.412917413181627[/C][C]0.793541293409187[/C][/ROW]
[ROW][C]243[/C][C]0.187068447557625[/C][C]0.37413689511525[/C][C]0.812931552442375[/C][/ROW]
[ROW][C]244[/C][C]0.148979694952464[/C][C]0.297959389904929[/C][C]0.851020305047536[/C][/ROW]
[ROW][C]245[/C][C]0.328421119236362[/C][C]0.656842238472725[/C][C]0.671578880763638[/C][/ROW]
[ROW][C]246[/C][C]0.292171598227421[/C][C]0.584343196454841[/C][C]0.707828401772579[/C][/ROW]
[ROW][C]247[/C][C]0.261696721799835[/C][C]0.52339344359967[/C][C]0.738303278200165[/C][/ROW]
[ROW][C]248[/C][C]0.207236534780595[/C][C]0.41447306956119[/C][C]0.792763465219405[/C][/ROW]
[ROW][C]249[/C][C]0.252179955310117[/C][C]0.504359910620235[/C][C]0.747820044689883[/C][/ROW]
[ROW][C]250[/C][C]0.256579831907932[/C][C]0.513159663815864[/C][C]0.743420168092068[/C][/ROW]
[ROW][C]251[/C][C]0.565893100484763[/C][C]0.868213799030473[/C][C]0.434106899515236[/C][/ROW]
[ROW][C]252[/C][C]0.460190986223935[/C][C]0.92038197244787[/C][C]0.539809013776065[/C][/ROW]
[ROW][C]253[/C][C]0.461206186707698[/C][C]0.922412373415395[/C][C]0.538793813292302[/C][/ROW]
[ROW][C]254[/C][C]0.43737926990224[/C][C]0.874758539804479[/C][C]0.56262073009776[/C][/ROW]
[ROW][C]255[/C][C]0.355741828173255[/C][C]0.711483656346511[/C][C]0.644258171826745[/C][/ROW]
[ROW][C]256[/C][C]0.229014208572608[/C][C]0.458028417145216[/C][C]0.770985791427392[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205520&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205520&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
130.6464844498709550.7070311002580890.353515550129045
140.4981007659208760.9962015318417520.501899234079124
150.3879245197115490.7758490394230980.612075480288451
160.3053404877880910.6106809755761820.694659512211909
170.2051065402925830.4102130805851660.794893459707417
180.1369577584393440.2739155168786870.863042241560656
190.1118363864020990.2236727728041980.888163613597901
200.07372017952230050.1474403590446010.9262798204777
210.05939913830956250.1187982766191250.940600861690437
220.1057321103507780.2114642207015560.894267889649222
230.0708062527978070.1416125055956140.929193747202193
240.04650466037369520.09300932074739050.953495339626305
250.03002953098778530.06005906197557050.969970469012215
260.01867212311776650.03734424623553290.981327876882234
270.01443267263312070.02886534526624140.985567327366879
280.00906719293051210.01813438586102420.990932807069488
290.006291526714052960.01258305342810590.993708473285947
300.004435577652305330.008871155304610650.995564422347695
310.007637099071620820.01527419814324160.992362900928379
320.004603482101480770.009206964202961540.995396517898519
330.003834360939245420.007668721878490830.996165639060755
340.002645731833422140.005291463666844270.997354268166578
350.002348886698068040.004697773396136080.997651113301932
360.002157384577822280.004314769155644550.997842615422178
370.001768434027603290.003536868055206570.998231565972397
380.001610689275027190.003221378550054380.998389310724973
390.001918332032120460.003836664064240930.99808166796788
400.002412945916378720.004825891832757430.997587054083621
410.001483055594465060.002966111188930120.998516944405535
420.002507459977982560.005014919955965110.997492540022017
430.001825802702982560.003651605405965110.998174197297017
440.00138820047437610.00277640094875220.998611799525624
450.005242085354924210.01048417070984840.994757914645076
460.003873616577150720.007747233154301430.996126383422849
470.002557153185957640.005114306371915280.997442846814042
480.001700120284697840.003400240569395680.998299879715302
490.0011000333604350.002200066720870.998899966639565
500.0007421678587089050.001484335717417810.999257832141291
510.0005477704939521560.001095540987904310.999452229506048
520.0007649330883579260.001529866176715850.999235066911642
530.0007866724799273410.001573344959854680.999213327520073
540.0005422046636987780.001084409327397560.999457795336301
550.000348623596672980.0006972471933459590.999651376403327
560.001521811210822410.003043622421644830.998478188789178
570.001029304717585180.002058609435170350.998970695282415
580.0007074908651391440.001414981730278290.999292509134861
590.0007540734710330590.001508146942066120.999245926528967
600.0006843081889153190.001368616377830640.999315691811085
610.0004573507416792060.0009147014833584120.999542649258321
620.0003262207985983320.0006524415971966640.999673779201402
630.0002129075598562380.0004258151197124760.999787092440144
640.0001372514017123010.0002745028034246020.999862748598288
650.0002533618011171480.0005067236022342950.999746638198883
660.0002380155548252710.0004760311096505420.999761984445175
670.0001531374394468050.000306274878893610.999846862560553
689.73224654399509e-050.0001946449308799020.99990267753456
696.13545108373247e-050.0001227090216746490.999938645489163
700.0001990365128313790.0003980730256627580.999800963487169
710.0001381158354467430.0002762316708934860.999861884164553
729.11120559848849e-050.000182224111969770.999908887944015
736.2488909983229e-050.0001249778199664580.999937511090017
744.00829969690189e-058.01659939380379e-050.999959917003031
752.52171974043465e-055.04343948086931e-050.999974782802596
761.87829001574001e-053.75658003148002e-050.999981217099843
771.16222492470161e-052.32444984940322e-050.999988377750753
789.25835519666713e-061.85167103933343e-050.999990741644803
795.89564573016153e-061.17912914603231e-050.99999410435427
803.7831196068068e-067.56623921361361e-060.999996216880393
812.52586325690464e-065.05172651380929e-060.999997474136743
822.94703639973789e-065.89407279947578e-060.9999970529636
832.61683657863122e-065.23367315726243e-060.999997383163421
842.08899157380951e-064.17798314761903e-060.999997911008426
851.25630300864475e-062.5126060172895e-060.999998743696991
861.15745291461898e-062.31490582923797e-060.999998842547085
872.94526605011214e-065.89053210022427e-060.99999705473395
884.32942134728959e-068.65884269457918e-060.999995670578653
892.66245580215381e-065.32491160430762e-060.999997337544198
902.57001501062806e-065.14003002125613e-060.999997429984989
911.72552208826173e-063.45104417652346e-060.999998274477912
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951.27946459795643e-062.55892919591286e-060.999998720535402
961.10990181133188e-062.21980362266377e-060.999998890098189
971.2459131840111e-062.4918263680222e-060.999998754086816
981.13304651393231e-062.26609302786462e-060.999998866953486
998.90354964237747e-071.78070992847549e-060.999999109645036
1005.4973577745256e-071.09947155490512e-060.999999450264223
1013.70580482782868e-077.41160965565735e-070.999999629419517
1024.51639558915614e-079.03279117831227e-070.999999548360441
1034.60567229192112e-079.21134458384224e-070.999999539432771
1045.40902805334688e-071.08180561066938e-060.999999459097195
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1074.24145685086841e-058.48291370173682e-050.999957585431491
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1500.002702591349540640.005405182699081290.997297408650459
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1800.01344040398197140.02688080796394280.986559596018029
1810.01099736211240340.02199472422480680.989002637887597
1820.008539810965996630.01707962193199330.991460189034003
1830.007384942584495940.01476988516899190.992615057415504
1840.005844431982812260.01168886396562450.994155568017188
1850.005474665109143130.01094933021828630.994525334890857
1860.004170039398177740.008340078796355490.995829960601822
1870.003199956536694950.006399913073389910.996800043463305
1880.005344240125608510.0106884802512170.994655759874391
1890.004101522784562850.008203045569125710.995898477215437
1900.003799095050852520.007598190101705040.996200904949147
1910.002865141671059450.00573028334211890.997134858328941
1920.002443936691361470.004887873382722950.997556063308639
1930.001937330871933660.003874661743867320.998062669128066
1940.001587539142793540.003175078285587080.998412460857206
1950.001531434841499980.003062869682999960.9984685651585
1960.001705273484770970.003410546969541930.998294726515229
1970.002936345041220140.005872690082440290.99706365495878
1980.002219906294556460.004439812589112920.997780093705444
1990.001638597732990570.003277195465981140.998361402267009
2000.00149423690284650.002988473805692990.998505763097154
2010.001098554390529040.002197108781058070.998901445609471
2020.0008267348972558780.001653469794511760.999173265102744
2030.0007437243669003410.001487448733800680.9992562756331
2040.0005308553543451930.001061710708690390.999469144645655
2050.0003713771090146510.0007427542180293020.999628622890985
2060.000651798221688680.001303596443377360.999348201778311
2070.0004888876522905950.0009777753045811890.999511112347709
2080.0007307233853028310.001461446770605660.999269276614697
2090.0007442123119499960.001488424623899990.99925578768805
2100.00116808020499130.00233616040998260.998831919795009
2110.0008252724542732150.001650544908546430.999174727545727
2120.0006396818653305430.001279363730661090.999360318134669
2130.001810986055217830.003621972110435670.998189013944782
2140.001383795308248690.002767590616497380.998616204691751
2150.0009665628682506470.001933125736501290.999033437131749
2160.0008352672051224310.001670534410244860.999164732794878
2170.0005835087677082790.001167017535416560.999416491232292
2180.0005062491516587650.001012498303317530.999493750848341
2190.0009522998516396780.001904599703279360.99904770014836
2200.002918314832876610.005836629665753210.997081685167123
2210.002197910796251190.004395821592502370.997802089203749
2220.1554557646402770.3109115292805550.844544235359723
2230.127899745769690.2557994915393810.87210025423031
2240.1574320830131120.3148641660262230.842567916986888
2250.1463128673056140.2926257346112290.853687132694386
2260.1467826806093330.2935653612186660.853217319390667
2270.2605906465888680.5211812931777350.739409353411132
2280.2565166828983890.5130333657967780.743483317101611
2290.2226264724574830.4452529449149670.777373527542517
2300.2145256609389410.4290513218778830.785474339061059
2310.1864591344579130.3729182689158260.813540865542087
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2360.44415693901780.8883138780355990.5558430609822
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2560.2290142085726080.4580284171452160.770985791427392






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1420.581967213114754NOK
5% type I error level1850.758196721311475NOK
10% type I error level1980.811475409836066NOK

\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 & 142 & 0.581967213114754 & NOK \tabularnewline
5% type I error level & 185 & 0.758196721311475 & NOK \tabularnewline
10% type I error level & 198 & 0.811475409836066 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205520&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]142[/C][C]0.581967213114754[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]185[/C][C]0.758196721311475[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]198[/C][C]0.811475409836066[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205520&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205520&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1420.581967213114754NOK
5% type I error level1850.758196721311475NOK
10% type I error level1980.811475409836066NOK


Figures (Output of Computation)

Figure 1
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Figure 10
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Input Parameters & R Code

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