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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, 13 Dec 2011 04:21:00 -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/2011/Dec/13/t1323768091drn6kafldiv17xf.htm/, Retrieved Thu, 02 May 2024 15:23:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=154299, Retrieved Thu, 02 May 2024 15:23:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact128

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2011-12-13 09:21:00] [b95d9398d16c17c54b557e3a52d461f1] [Current]
- RMPD    [Skewness and Kurtosis Test] [] [2011-12-13 09:36:19] [50e3859e0b739a5118d466e989dfc0cb]
- RMPD    [Recursive Partitioning (Regression Trees)] [] [2011-12-13 09:41:05] [50e3859e0b739a5118d466e989dfc0cb]
- R  D    [Multiple Regression] [] [2011-12-13 09:30:46] [50e3859e0b739a5118d466e989dfc0cb]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
81	3	79	30	115	94	112285	24188	146283	144	145
55	4	58	28	109	103	84786	18273	98364	103	101
50	12	60	38	146	93	83123	14130	86146	98	98
125	2	108	30	116	103	101193	32287	96933	135	132
40	1	49	22	68	51	38361	8654	79234	61	60
37	3	0	26	101	70	68504	9245	42551	39	38
63	0	121	25	96	91	119182	33251	195663	150	144
44	0	1	18	67	22	22807	1271	6853	5	5
88	0	20	11	44	38	17140	5279	21529	28	28
66	5	43	26	100	93	116174	27101	95757	84	84
57	0	69	25	93	60	57635	16373	85584	80	79
74	0	78	38	140	123	66198	19716	143983	130	127
49	7	86	44	166	148	71701	17753	75851	82	78
52	7	44	30	99	90	57793	9028	59238	60	60
88	3	104	40	139	124	80444	18653	93163	131	131
36	9	63	34	130	70	53855	8828	96037	84	84
108	0	158	47	181	168	97668	29498	151511	140	133
43	4	102	30	116	115	133824	27563	136368	151	150
75	3	77	31	116	71	101481	18293	112642	91	91
32	0	82	23	88	66	99645	22530	94728	138	132
44	7	115	36	139	134	114789	15977	105499	150	136
85	0	101	36	135	117	99052	35082	121527	124	124
86	1	80	30	108	108	67654	16116	127766	119	118
56	5	50	25	89	84	65553	15849	98958	73	70
50	7	83	39	156	156	97500	16026	77900	110	107
135	0	123	34	129	120	69112	26569	85646	123	119
63	0	73	31	118	114	82753	24785	98579	90	89
81	5	81	31	118	94	85323	17569	130767	116	112
52	0	105	33	125	120	72654	23825	131741	113	108
44	0	47	25	95	81	30727	7869	53907	56	52
113	0	105	33	126	110	77873	14975	178812	115	112
39	3	94	35	135	133	117478	37791	146761	119	116
73	4	44	42	154	122	74007	9605	82036	129	123
48	1	114	43	165	158	90183	27295	163253	127	125
33	4	38	30	113	109	61542	2746	27032	27	27
59	2	107	33	127	124	101494	34461	171975	175	162
41	0	30	13	52	39	27570	8098	65990	35	32
69	0	71	32	121	92	55813	4787	86572	64	64
64	0	84	36	136	126	79215	24919	159676	96	92
1	0	0	0	0	0	1423	603	1929	0	0
59	2	59	28	108	70	55461	16329	85371	84	83
32	1	33	14	46	37	31081	12558	58391	41	41
129	0	42	17	54	38	22996	7784	31580	47	47
37	2	96	32	124	120	83122	28522	136815	126	120
31	10	106	30	115	93	70106	22265	120642	105	105
65	6	56	35	128	95	60578	14459	69107	80	79
107	0	57	20	80	77	39992	14526	50495	70	65
74	5	59	28	97	90	79892	22240	108016	73	70
54	4	39	28	104	80	49810	11802	46341	57	55
76	1	34	39	59	31	71570	7623	78348	40	39
715	2	76	34	125	110	100708	11912	79336	68	67
57	2	20	26	82	66	33032	7935	56968	21	21
66	0	91	39	149	138	82875	18220	93176	127	127
106	8	115	39	149	133	139077	19199	161632	154	152
54	3	85	33	122	113	71595	19918	87850	116	113
32	0	76	28	118	100	72260	21884	127969	102	99
20	0	8	4	12	7	5950	2694	15049	7	7
71	8	79	39	144	140	115762	15808	155135	148	141
21	5	21	18	67	61	32551	3597	25109	21	21
70	3	30	14	52	41	31701	5296	45824	35	35
112	1	76	29	108	96	80670	25239	102996	112	109
66	5	101	44	166	164	143558	29801	160604	137	133
190	1	94	21	80	78	117105	18450	158051	135	123
66	1	27	16	60	49	23789	7132	44547	26	26
165	5	92	28	107	102	120733	34861	162647	230	230
56	0	123	35	127	124	105195	35940	174141	181	166
61	12	75	28	107	99	73107	16688	60622	71	68
53	8	128	38	146	129	132068	24683	179566	147	147
127	8	105	23	84	62	149193	46230	184301	190	179
63	8	55	36	141	73	46821	10387	75661	64	61
38	8	56	32	123	114	87011	21436	96144	105	101
50	2	41	29	111	99	95260	30546	129847	107	108
52	0	72	25	98	70	55183	19746	117286	94	90
42	5	67	27	105	104	106671	15977	71180	116	114
76	8	75	36	135	116	73511	22583	109377	106	103
67	2	114	28	107	91	92945	17274	85298	143	142
50	5	118	23	85	74	78664	16469	73631	81	79
53	12	77	40	155	138	70054	14251	86767	89	88
39	6	22	23	88	67	22618	3007	23824	26	25
50	7	66	40	155	151	74011	16851	93487	84	83
77	2	69	28	104	72	83737	21113	82981	113	113
57	0	105	34	132	120	69094	17401	73815	120	118
73	4	116	33	127	115	93133	23958	94552	110	110
34	3	88	28	108	105	95536	23567	132190	134	129
39	6	73	34	129	104	225920	13065	128754	54	51
46	2	99	30	116	108	62133	15358	66363	96	93
63	0	62	33	122	98	61370	14587	67808	78	76
35	1	53	22	85	69	43836	12770	61724	51	49
106	0	118	38	147	111	106117	24021	131722	121	118
43	5	30	26	99	99	38692	9648	68580	38	38
47	2	100	35	87	71	84651	20537	106175	145	141
31	0	49	8	28	27	56622	7905	55792	59	58
162	0	24	24	90	69	15986	4527	25157	27	27
57	5	67	29	109	107	95364	30495	76669	91	91
36	0	46	20	78	73	26706	7117	57283	48	48
263	1	57	29	111	107	89691	17719	105805	68	63
78	0	75	45	158	93	67267	27056	129484	58	56
63	1	135	37	141	129	126846	33473	72413	150	144
54	1	68	33	122	69	41140	9758	87831	74	73
63	2	124	33	124	118	102860	21115	96971	181	168
77	6	33	25	93	73	51715	7236	71299	65	64
79	1	98	32	124	119	55801	13790	77494	97	97
110	4	58	29	112	104	111813	32902	120336	121	117
56	2	68	28	108	107	120293	25131	93913	99	100
56	3	81	28	99	99	138599	30910	136048	152	149
43	0	131	31	117	90	161647	35947	181248	188	187
111	10	110	52	199	197	115929	29848	146123	138	127
71	0	37	21	78	36	24266	6943	32036	40	37
62	9	130	24	91	85	162901	42705	186646	254	245
56	7	93	41	158	139	109825	31808	102255	87	87
74	0	118	33	126	106	129838	26675	168237	178	177
60	0	39	32	122	50	37510	8435	64219	51	49
43	4	13	19	71	64	43750	7409	19630	49	49
68	4	74	20	75	31	40652	14993	76825	73	73
53	0	81	31	115	63	87771	36867	115338	176	177
87	0	109	31	119	92	85872	33835	109427	94	94
46	0	151	32	124	106	89275	24164	118168	120	117
105	1	51	18	72	63	44418	12607	84845	66	60
32	0	28	23	91	69	192565	22609	153197	56	55
133	1	40	17	45	41	35232	5892	29877	39	39
79	0	56	20	78	56	40909	17014	63506	66	64
51	0	27	12	39	25	13294	5394	22445	27	26
207	4	37	17	68	65	32387	9178	47695	65	64
67	0	83	30	119	93	140867	6440	68370	58	58
47	4	54	31	117	114	120662	21916	146304	98	95
34	4	27	10	39	38	21233	4011	38233	25	25
66	3	28	13	50	44	44332	5818	42071	26	26
76	0	59	22	88	87	61056	18647	50517	77	76
65	0	133	42	155	110	101338	20556	103950	130	129
9	0	12	1	0	0	1168	238	5841	11	11
42	5	0	9	36	27	13497	70	2341	2	2
45	0	106	32	123	83	65567	22392	84396	101	101
25	4	23	11	32	30	25162	3913	24610	31	28
115	0	44	25	99	80	32334	12237	35753	36	36
97	0	71	36	136	98	40735	8388	55515	120	89
53	1	116	31	117	82	91413	22120	209056	195	193
2	0	4	0	0	0	855	338	6622	4	4
52	5	62	24	88	60	97068	11727	115814	89	84
44	0	12	13	39	28	44339	3704	11609	24	23
22	0	18	8	25	9	14116	3988	13155	39	39
35	0	14	13	52	33	10288	3030	18274	14	14
74	0	60	19	75	59	65622	13520	72875	78	78
103	0	7	18	71	49	16563	1421	10112	15	14
144	2	98	33	124	115	76643	20923	142775	106	101
60	7	64	40	151	140	110681	20237	68847	83	82
134	1	29	22	71	49	29011	3219	17659	24	24
89	8	32	38	145	120	92696	3769	20112	37	36
42	2	25	24	87	66	94785	12252	61023	77	75
52	0	16	8	27	21	8773	1888	13983	16	16
98	2	48	35	131	124	83209	14497	65176	56	55
99	0	100	43	162	152	93815	28864	132432	132	131
52	0	46	43	165	139	86687	21721	112494	144	131
29	1	45	14	54	38	34553	4821	45109	40	39
125	3	129	41	159	144	105547	33644	170875	153	144
106	0	130	38	147	120	103487	15923	180759	143	139
95	3	136	45	170	160	213688	42935	214921	220	211
40	0	59	31	119	114	71220	18864	100226	79	78
140	0	25	13	49	39	23517	4977	32043	50	50
43	0	32	28	104	78	56926	7785	54454	39	39
128	4	63	31	120	119	91721	17939	78876	95	90
142	4	95	40	150	141	115168	23436	170745	169	166
73	11	14	30	112	101	111194	325	6940	12	12
72	0	36	16	59	56	51009	13539	49025	63	57
128	0	113	37	136	133	135777	34538	122037	134	133
61	4	47	30	107	83	51513	12198	53782	69	69
73	0	92	35	130	116	74163	26924	127748	119	119
148	1	70	32	115	90	51633	12716	86839	119	119
64	0	19	27	107	36	75345	8172	44830	75	65
45	0	50	20	75	50	33416	10855	77395	63	61
58	0	41	18	71	61	83305	11932	89324	55	49
97	9	91	31	120	97	98952	14300	103300	103	101
50	1	111	31	116	98	102372	25515	112283	197	196
37	3	41	21	79	78	37238	2805	10901	16	15
50	10	120	39	150	117	103772	29402	120691	140	136
105	5	135	41	156	148	123969	16440	58106	89	89
69	0	27	13	51	41	27142	11221	57140	40	40
46	2	87	32	118	105	135400	28732	122422	125	123
57	0	25	18	71	55	21399	5250	25899	21	21
52	1	131	39	144	132	130115	28608	139296	167	163
98	2	45	14	47	44	24874	8092	52678	32	29
61	4	29	7	28	21	34988	4473	23853	36	35
89	0	58	17	68	50	45549	1572	17306	13	13
0	0	4	0	0	0	6023	2065	7953	5	5
48	2	47	30	110	73	64466	14817	89455	96	96
91	1	109	37	147	86	54990	16714	147866	151	151
0	0	7	0	0	0	1644	556	4245	6	6
7	0	12	5	15	13	6179	2089	21509	13	13
3	0	0	1	4	4	3926	2658	7670	3	3
54	1	37	16	64	57	32755	10695	66675	57	56
70	0	37	32	111	48	34777	1669	14336	23	23
36	2	46	24	85	46	73224	16267	53608	61	57
37	0	15	17	68	48	27114	7768	30059	21	14
123	3	42	11	40	32	20760	7252	29668	43	43
247	6	7	24	80	68	37636	6387	22097	20	20
46	0	54	22	88	87	65461	18715	96841	82	72
72	2	54	12	48	43	30080	7936	41907	90	87
41	0	14	19	76	67	24094	8643	27080	25	21
24	2	16	13	51	46	69008	7294	35885	60	56
45	1	33	17	67	46	54968	4570	41247	61	59
33	1	32	15	59	56	46090	7185	28313	85	82
27	2	21	16	61	48	27507	10058	36845	43	43
36	1	15	24	76	44	10672	2342	16548	25	25
87	0	38	15	60	60	34029	8509	36134	41	38
90	1	22	17	68	65	46300	13275	55764	26	25
114	3	28	18	71	55	24760	6816	28910	38	38
31	0	10	20	76	38	18779	1930	13339	12	12
45	0	31	16	62	52	21280	8086	25319	29	29
69	0	32	16	61	60	40662	10737	66956	49	47
51	0	32	18	67	54	28987	8033	47487	46	45
34	1	43	22	88	86	22827	7058	52785	41	40
60	4	27	8	30	24	18513	6782	44683	31	30
45	0	37	17	64	52	30594	5401	35619	41	41
54	0	20	18	68	49	24006	6521	21920	26	25
25	0	32	16	64	61	27913	10856	45608	23	23
38	7	0	23	91	61	42744	2154	7721	14	14
52	2	5	22	88	81	12934	6117	20634	16	16
67	0	26	13	52	43	22574	5238	29788	25	26
74	7	10	13	49	40	41385	4820	31931	21	21
38	3	27	16	62	40	18653	5615	37754	32	27
30	0	11	16	61	56	18472	4272	32505	9	9
26	0	29	20	76	68	30976	8702	40557	35	33
67	6	25	22	88	79	63339	15340	94238	42	42
132	2	55	17	66	47	25568	8030	44197	68	68
42	0	23	18	71	57	33747	9526	43228	32	32
35	0	5	17	68	41	4154	1278	4103	6	6
118	3	43	12	48	29	19474	4236	44144	68	67
68	0	23	7	25	3	35130	3023	32868	33	33
43	1	34	17	68	60	39067	7196	27640	84	77
76	1	36	14	41	30	13310	3394	14063	46	46
64	0	35	23	90	79	65892	6371	28990	30	30
48	1	0	17	66	47	4143	1574	4694	0	0
64	0	37	14	54	40	28579	9620	42648	36	36
56	0	28	15	59	48	51776	6978	64329	47	46
71	0	16	17	60	36	21152	4911	21928	20	18
75	0	26	21	77	42	38084	8645	25836	50	48
39	0	38	18	68	49	27717	8987	22779	30	29
42	0	23	18	72	57	32928	5544	40820	30	28
39	0	22	17	67	12	11342	3083	27530	34	34
93	0	30	17	64	40	19499	6909	32378	33	33
38	0	16	16	63	43	16380	3189	10824	34	34
60	0	18	15	59	33	36874	6745	39613	37	33
71	0	28	21	84	77	48259	16724	60865	83	80
52	0	32	16	64	43	16734	4850	19787	32	32
27	2	21	14	56	45	28207	7025	20107	30	30
59	0	23	15	54	47	30143	6047	36605	43	41
40	1	29	17	67	43	41369	7377	40961	41	41
79	1	50	15	58	45	45833	9078	48231	51	51
44	0	12	15	59	50	29156	4605	39725	19	18
65	0	21	10	40	35	35944	3238	21455	37	34
10	0	18	6	22	7	36278	8100	23430	33	31
124	0	27	22	83	71	45588	9653	62991	41	39
81	0	41	21	81	67	45097	8914	49363	54	54
15	0	13	1	2	0	3895	786	9604	14	14
92	1	12	18	72	62	28394	6700	24552	25	24
42	0	21	17	61	54	18632	5788	31493	25	24
10	0	8	4	15	4	2325	593	3439	8	8
24	0	26	10	32	25	25139	4506	19555	26	26
64	0	27	16	62	40	27975	6382	21228	20	19
45	1	13	16	58	38	14483	5621	23177	11	11
22	0	16	9	36	19	13127	3997	22094	14	14
56	0	2	16	59	17	5839	520	2342	3	1
94	0	42	17	68	67	24069	8891	38798	40	39
19	0	5	7	21	14	3738	999	3255	5	5
35	0	37	15	55	30	18625	7067	24261	38	37
32	0	17	14	54	54	36341	4639	18511	32	32
35	0	38	14	55	35	24548	5654	40798	41	38
48	0	37	18	72	59	21792	6928	28893	46	47
49	0	29	12	41	24	26263	1514	21425	47	47
48	0	32	16	61	58	23686	9238	50276	37	37
62	0	35	21	67	42	49303	8204	37643	51	51
96	1	17	19	76	46	25659	5926	30377	49	45
45	0	20	16	64	61	28904	5785	27126	21	21
63	0	7	1	3	3	2781	4	13	1	1
71	1	46	16	63	52	29236	5930	42097	44	42
26	0	24	10	40	25	19546	3710	24451	26	26
48	6	40	19	69	40	22818	705	14335	21	21
29	3	3	12	48	32	32689	443	5084	4	4
19	1	10	2	8	4	5752	2416	9927	10	10
45	2	37	14	52	49	22197	7747	43527	43	43
45	0	17	17	66	63	20055	5432	27184	34	34
67	0	28	19	76	67	25272	4913	21610	32	31
30	0	19	14	43	32	82206	2650	20484	20	19
36	3	29	11	39	23	32073	2370	20156	34	34
34	1	8	4	14	7	5444	775	6012	6	6
36	0	10	16	61	54	20154	5576	18475	12	11
34	0	15	20	71	37	36944	1352	12645	24	24
37	1	15	12	44	35	8019	3080	11017	16	16
46	0	28	15	60	51	30884	10205	37623	72	72
44	0	17	16	64	39	19540	6095	35873	27	21

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time12 seconds
R Server'AstonUniversity' @ aston.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 & 12 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154299&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]12 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154299&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154299&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 time12 seconds
R Server'AstonUniversity' @ aston.wessa.net






Multiple Linear Regression - Estimated Regression Equation
totblogs[t] = + 0.159179844578913 -0.00043726090136363compendium_views_pr[t] + 0.0968732147986645shared_compendiums[t] + 0.0219817029302363blogged_computations[t] + 0.0642403007917927compendiums_reviewed[t] -0.0120289522412221feedback_messages_p1[t] -0.0186609776502726feedback_messages_p120[t] + 2.29904159768156e-06totsize[t] + 6.77078877779138e-05totrevisions[t] -2.51768239802488e-06totseconds[t] + 0.951301934899435tothyperlinks[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
totblogs[t] =  +  0.159179844578913 -0.00043726090136363compendium_views_pr[t] +  0.0968732147986645shared_compendiums[t] +  0.0219817029302363blogged_computations[t] +  0.0642403007917927compendiums_reviewed[t] -0.0120289522412221feedback_messages_p1[t] -0.0186609776502726feedback_messages_p120[t] +  2.29904159768156e-06totsize[t] +  6.77078877779138e-05totrevisions[t] -2.51768239802488e-06totseconds[t] +  0.951301934899435tothyperlinks[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154299&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]totblogs[t] =  +  0.159179844578913 -0.00043726090136363compendium_views_pr[t] +  0.0968732147986645shared_compendiums[t] +  0.0219817029302363blogged_computations[t] +  0.0642403007917927compendiums_reviewed[t] -0.0120289522412221feedback_messages_p1[t] -0.0186609776502726feedback_messages_p120[t] +  2.29904159768156e-06totsize[t] +  6.77078877779138e-05totrevisions[t] -2.51768239802488e-06totseconds[t] +  0.951301934899435tothyperlinks[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154299&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154299&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
totblogs[t] = + 0.159179844578913 -0.00043726090136363compendium_views_pr[t] + 0.0968732147986645shared_compendiums[t] + 0.0219817029302363blogged_computations[t] + 0.0642403007917927compendiums_reviewed[t] -0.0120289522412221feedback_messages_p1[t] -0.0186609776502726feedback_messages_p120[t] + 2.29904159768156e-06totsize[t] + 6.77078877779138e-05totrevisions[t] -2.51768239802488e-06totseconds[t] + 0.951301934899435tothyperlinks[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)0.1591798445789130.4436610.35880.7200270.360013
compendium_views_pr-0.000437260901363630.003371-0.12970.8968840.448442
shared_compendiums0.09687321479866450.0713481.35780.1756440.087822
blogged_computations0.02198170293023630.011071.98560.0480560.024028
compendiums_reviewed0.06424030079179270.0918430.69950.484850.242425
feedback_messages_p1-0.01202895224122210.027773-0.43310.6652610.33263
feedback_messages_p120-0.01866097765027260.013856-1.34680.1791420.089571
totsize2.29904159768156e-069e-060.26750.7893010.39465
totrevisions6.77078877779138e-054.2e-051.61210.108080.05404
totseconds-2.51768239802488e-069e-06-0.28320.7772190.38861
tothyperlinks0.9513019348994350.009373101.488800

\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) & 0.159179844578913 & 0.443661 & 0.3588 & 0.720027 & 0.360013 \tabularnewline
compendium_views_pr & -0.00043726090136363 & 0.003371 & -0.1297 & 0.896884 & 0.448442 \tabularnewline
shared_compendiums & 0.0968732147986645 & 0.071348 & 1.3578 & 0.175644 & 0.087822 \tabularnewline
blogged_computations & 0.0219817029302363 & 0.01107 & 1.9856 & 0.048056 & 0.024028 \tabularnewline
compendiums_reviewed & 0.0642403007917927 & 0.091843 & 0.6995 & 0.48485 & 0.242425 \tabularnewline
feedback_messages_p1 & -0.0120289522412221 & 0.027773 & -0.4331 & 0.665261 & 0.33263 \tabularnewline
feedback_messages_p120 & -0.0186609776502726 & 0.013856 & -1.3468 & 0.179142 & 0.089571 \tabularnewline
totsize & 2.29904159768156e-06 & 9e-06 & 0.2675 & 0.789301 & 0.39465 \tabularnewline
totrevisions & 6.77078877779138e-05 & 4.2e-05 & 1.6121 & 0.10808 & 0.05404 \tabularnewline
totseconds & -2.51768239802488e-06 & 9e-06 & -0.2832 & 0.777219 & 0.38861 \tabularnewline
tothyperlinks & 0.951301934899435 & 0.009373 & 101.4888 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154299&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]0.159179844578913[/C][C]0.443661[/C][C]0.3588[/C][C]0.720027[/C][C]0.360013[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]-0.00043726090136363[/C][C]0.003371[/C][C]-0.1297[/C][C]0.896884[/C][C]0.448442[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]0.0968732147986645[/C][C]0.071348[/C][C]1.3578[/C][C]0.175644[/C][C]0.087822[/C][/ROW]
[ROW][C]blogged_computations[/C][C]0.0219817029302363[/C][C]0.01107[/C][C]1.9856[/C][C]0.048056[/C][C]0.024028[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]0.0642403007917927[/C][C]0.091843[/C][C]0.6995[/C][C]0.48485[/C][C]0.242425[/C][/ROW]
[ROW][C]feedback_messages_p1[/C][C]-0.0120289522412221[/C][C]0.027773[/C][C]-0.4331[/C][C]0.665261[/C][C]0.33263[/C][/ROW]
[ROW][C]feedback_messages_p120[/C][C]-0.0186609776502726[/C][C]0.013856[/C][C]-1.3468[/C][C]0.179142[/C][C]0.089571[/C][/ROW]
[ROW][C]totsize[/C][C]2.29904159768156e-06[/C][C]9e-06[/C][C]0.2675[/C][C]0.789301[/C][C]0.39465[/C][/ROW]
[ROW][C]totrevisions[/C][C]6.77078877779138e-05[/C][C]4.2e-05[/C][C]1.6121[/C][C]0.10808[/C][C]0.05404[/C][/ROW]
[ROW][C]totseconds[/C][C]-2.51768239802488e-06[/C][C]9e-06[/C][C]-0.2832[/C][C]0.777219[/C][C]0.38861[/C][/ROW]
[ROW][C]tothyperlinks[/C][C]0.951301934899435[/C][C]0.009373[/C][C]101.4888[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154299&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154299&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)0.1591798445789130.4436610.35880.7200270.360013
compendium_views_pr-0.000437260901363630.003371-0.12970.8968840.448442
shared_compendiums0.09687321479866450.0713481.35780.1756440.087822
blogged_computations0.02198170293023630.011071.98560.0480560.024028
compendiums_reviewed0.06424030079179270.0918430.69950.484850.242425
feedback_messages_p1-0.01202895224122210.027773-0.43310.6652610.33263
feedback_messages_p120-0.01866097765027260.013856-1.34680.1791420.089571
totsize2.29904159768156e-069e-060.26750.7893010.39465
totrevisions6.77078877779138e-054.2e-051.61210.108080.05404
totseconds-2.51768239802488e-069e-06-0.28320.7772190.38861
tothyperlinks0.9513019348994350.009373101.488800






Multiple Linear Regression - Regression Statistics
Multiple R0.998313463362387
R-squared0.996629771130605
Adjusted R-squared0.99650853987631
F-TEST (value)8220.89796008465
F-TEST (DF numerator)10
F-TEST (DF denominator)278
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.88345613806338
Sum Squared Residuals2311.38076543763

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.998313463362387 \tabularnewline
R-squared & 0.996629771130605 \tabularnewline
Adjusted R-squared & 0.99650853987631 \tabularnewline
F-TEST (value) & 8220.89796008465 \tabularnewline
F-TEST (DF numerator) & 10 \tabularnewline
F-TEST (DF denominator) & 278 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.88345613806338 \tabularnewline
Sum Squared Residuals & 2311.38076543763 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154299&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.998313463362387[/C][/ROW]
[ROW][C]R-squared[/C][C]0.996629771130605[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.99650853987631[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]8220.89796008465[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]10[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]278[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.88345613806338[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]2311.38076543763[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154299&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154299&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 R0.998313463362387
R-squared0.996629771130605
Adjusted R-squared0.99650853987631
F-TEST (value)8220.89796008465
F-TEST (DF numerator)10
F-TEST (DF denominator)278
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.88345613806338
Sum Squared Residuals2311.38076543763






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1145139.4557342709975.54426572900305
210199.53165681156051.46834318843948
39895.72664807561362.27335192438637
4132131.8825086363810.117491363619066
56059.46334364905620.536656350943796
63837.35977456980250.640225430197456
7144146.272529896883-2.27252989688309
854.979513137741060.0204868622589378
92827.00767370865020.992326291349794
108482.06209874347461.93790125652538
117978.14841774840470.85158225159528
12127125.0970419750941.90295802490565
137879.9568871340565-1.9568871340565
146058.5117134195631.48828658043697
15131127.1149420354923.88505796450835
168482.10339465560571.89660534439432
17133136.314678643065-3.31467864306528
18150146.6330026280413.36699737195868
199189.13752622506131.86247377493875
20132133.93076044164-1.93076044163968
21136145.261355035915-9.2613550359149
22124121.1060988808782.89390111912196
23118114.7196571751973.2803428248033
247071.1057609224708-1.10576092247083
25107106.1139818595520.886018140447741
26119119.949347952324-0.949347952324108
278987.41835434539331.58164565460666
28112112.614062464668-0.614062464667765
29108109.767126304711-1.76712630471122
305253.8654219392811-1.86542193928105
31112111.1119121468950.888087853105255
32116116.305886599369-0.305886599369262
33123123.382830744128-0.382830744127513
34125123.0298478086671.9701521913332
352725.84594639153751.15405360846248
36162169.568942483022-7.5689424830218
373234.0236524130274-2.02365241302741
386461.69088331124232.30911668875768
399293.0953920642524-1.0953920642524
4000.197985366855323-0.197985366855323
418381.74491621160421.25508378839581
424140.40113464674690.598865353253126
434745.97099874228451.02900125771555
44120122.413625722449-2.41362572244878
45105103.5044836659671.49551633403329
467977.92730930869561.07269069130438
476567.7904176723322-2.79041767233221
487071.7231308722589-1.72313087225887
495555.4563283292368-0.456328329236822
503940.7228740231254-1.72287402312539
516765.86559477049911.13440522950087
522120.66700300690150.332996993098534
53127122.2734274677724.72657253222803
54152149.3600870427372.63991295726321
55113112.4813910692050.518608930794894
569998.68747143404180.312528565958172
5777.12558447178218-0.12558447178218
58141142.538913957289-1.5389139572887
592120.54055069954170.459449300458259
603534.19906125930.800938740700016
61109108.8309258453880.169074154611862
62133132.8760293179070.123970682092787
63123130.716706230702-7.71670623070183
642625.37169925813580.628300741864216
65230222.2298117543787.77018824562215
66166175.667702712895-9.66770271289498
676870.2956026727762-2.29560267277623
68147143.3664448887293.63355511127119
69179186.253319364112-7.25331936411166
706162.8736877040088-1.87368770400877
71101101.893373359174-0.893373359173822
72108103.662236656624.33776334338038
739091.4309476006807-1.43094760068068
74114112.1274873221.8725126780004
75103103.334310951007-0.334310951007392
76142138.8477193862213.15228061377887
777980.4556877171189-1.4556877171189
788886.69436686479081.30563313520919
792525.3051234244376-0.30512342443765
808381.13863044742811.86136955257187
81113109.9503520067073.04964799329317
82118116.1067903910191.89320960898138
83110107.7522939089342.24770609106601
84129129.866481272697-0.866481272696508
855153.4698698209608-2.4698698209608
869393.366074725797-0.36607472579708
877675.47769898841780.522301011582187
884949.8354051681145-0.835405168114547
89118117.9544565977840.0455434022160792
903836.63515063515011.36484936484988
91141141.664106267781-0.664106267781
925857.54774835618540.452251643814623
932725.75253950145671.24746049854332
949189.30593018839321.69406981160684
954846.20044087606121.79955912393876
966365.7531085154627-2.75310851546265
975657.8645362534944-1.86453625349436
98144146.540565922089-2.54056592208912
997372.0224758249140.977524175085963
100168175.085093992372-7.08509399237214
1016462.82115657690651.17884342309345
1029793.86232254051873.13767745948128
103117117.637851126507-0.637851126507445
10410096.246646421153.75335357885
105149147.63312030621.36687969380008
106187183.1185221143893.88147788561105
107127133.967131241755-6.96713124175477
1083739.177755506329-2.17775550632902
109245247.149257086046-2.1492570860462
1108785.90847355571381.09152644428623
111177172.3596697443914.64033025560927
1124949.6574078918591-0.657407891859117
1134947.15244367445211.84755632554794
1147372.30795456781780.692045432182216
115177171.1857331476495.81426685235071
1169492.99553696139121.00446303860885
117117117.7444019353-0.744401935299739
1186063.9738338862978-3.97383388629782
1195554.71668952823960.283310471760356
1203938.36833702807910.631662971920866
1216464.5292178504364-0.529217850436413
1222626.5900382150975-0.590038215097494
1236462.7410624801391.25893751986102
1245856.47793366161481.5220663383852
1259594.7903795002180.209620499782034
1262524.59615024152650.40384975847353
1272625.57279572757010.427204272429945
1287674.68008474631571.31991525368432
129129126.8675439402882.13245605971189
1301110.95168049130540.0483195086945779
13122.1989346824932-0.198934682493196
13210199.03270035405451.96729964594551
1332830.5543971237403-2.55439712374028
1343635.05808639710530.941913602894648
13589115.203452230934-26.2034522309336
136193188.5220189777184.47798102228239
13744.05961872789009-0.0596187278900914
1388486.7386978027153-2.73869780271532
1392323.4019540831165-0.401954083116526
1403937.96060823572761.03939176427236
1411413.54645208571990.453547914280143
1427875.74747449715882.25252550284117
1431414.0342579461098-0.0342579461097569
144101102.99789558609-1.99789558608982
1458280.76797951846281.2320204815372
1462423.55120845766820.44879154233182
1473635.67211882545630.327881174543693
1487574.29181189184660.708188108153347
1491615.61903787923790.380962120762061
1505554.00553108978540.994468910214612
151131127.6996741281943.30032587180639
152131137.705515044594-6.70551504459395
1533939.1175985364343-0.117598536434316
154144148.904457878537-4.90445787853655
155139138.3011262555020.698873744497524
156211213.401545154317-2.40154515431672
1577876.21275739577771.78724260422225
1585048.04090438037191.95909561962811
1593937.55761198406631.44238801593372
1609091.803450600069-1.80345060006906
161166162.8986381785913.10136182140891
1621211.87161183053870.128388169461288
1635761.0347216717731-4.0347216717731
164133130.6640473461232.33595265387653
1656967.09314867374871.90685132625131
166119115.5463221518753.45367784812534
167119114.6889069272324.31109307276768
1686572.2857501023766-7.28575010237656
1696161.2371337310866-0.237133731086582
1704953.295147835107-4.29514783510706
171101100.6465599228320.353440077167595
172196190.5281865799855.47181342001468
1731515.7469915274156-0.746991527415587
174136137.369280549482-1.36928054948216
1758987.47838182562541.52161817437457
1764038.90942990338551.0905700966145
177123121.7832864470981.21671355290191
1782120.27651335926210.723486640737872
179163162.1757192265990.824280773401152
1802931.7262858088573-2.72628580885728
1813535.4485717134897-0.44857171348971
1821313.2707798602871-0.270779860287117
18355.13725711848976-0.137257118489756
1849692.85805495765333.14194504234672
185151146.1484654867874.8515345132126
18666.05160102269866-0.0516010226986565
1871312.7864938429130.213506157087042
18833.12293742683226-0.122937426832258
1895655.0958649049840.90413509501605
1902322.80345283142370.196547168576347
1915760.1734438664088-3.17344386640881
1921420.3410688728506-6.34106887285057
1934342.31761616045360.68238383954638
1942019.58617464957990.413825350420103
1957279.2379060284032-7.23790602840316
1968787.0176779038309-0.0176779038308635
1972123.8600377462556-2.86003774625564
1985657.6976642906436-1.69766429064362
1995958.75088280558070.249117194419305
2008281.53574485026780.464255149732182
2014341.75855265533361.2414473446664
2022524.30051405220990.699485947790136
2033839.6454174746328-1.64541747463284
2042525.360171958876-0.360171958876021
2053836.88646402373111.11353597626893
2061211.58282005959180.41717994040819
2072928.25303532797250.746964672027495
2084747.2725274910367-0.272527491036714
2094544.43385845600360.566141543996423
2104039.33714011698370.662859883016298
2113030.6987528355985-0.698752835598497
2124139.65441662671391.34558337328605
2132525.1745472095101-0.174547209510144
2142322.53566307008720.464336929912777
2151413.6081501486330.391849851367
2161614.89608290582831.10391709417165
2172624.2227081255821.777291874418
2182120.84246458707990.157535412920075
2192731.3319733698629-4.33197336986291
22098.448520868036210.55147913196379
2213333.7408068398415-0.740806839841465
2224241.04286471827580.95713528172425
2236866.10504361097851.89495638902151
2243230.94038677102651.0596132289735
22565.5563629629730.443637037026997
2266765.90471462876281.09528537123723
2273332.32365957994510.676340420054939
2287780.5559028509056-3.55590285090563
2294644.84539402864321.15460597135677
2303028.87018456783141.12981543216856
2310-0.2395480043855810.239548004385581
2323635.3044295670710.695570432929047
2334645.24908208654760.750917913452389
2341819.5303680741595-1.53036807415951
2354848.5099067784874-0.509906778487428
2362929.555321220822-0.555321220822007
2372828.7603208040007-0.7603208040007
2383433.19771085336960.802289146630373
2393332.17782787243940.822172127560553
2403432.53246310751921.46753689248079
2413335.8066021118082-2.80660211180821
2428079.69345907308040.306540926919615
2433231.0541265547350.945873445265
2443029.21766686768040.782333132319617
2454141.3684888048499-0.368488804849938
2464139.85459796480021.14540203519975
2475149.86176840123191.13823159876811
2481818.0781157570799-0.078115757079929
2493435.5465139552762-1.54651395527616
2503132.5064689753789-1.50646897537891
2513939.391600588173-0.391600588173015
2525452.10267933316731.8973206668327
2531413.83478589911870.165214100881261
2542423.85252179966850.147478200331502
2552424.0910448801193-0.0910448801192555
25687.97979708655050.0202029134495038
2572625.55866633121770.44133366878234
2581919.7293325582472-0.729332558247238
2591110.96303890449040.0369610955096355
2601413.85523856291090.144761437089136
26113.07619824840046-2.07619824840046
2623938.67686251815660.323137481843382
26355.02114943915111-0.0211494391511079
2643737.3090848567548-0.309084856754808
2653230.55368790250881.44631209749116
2663839.9037382394769-1.90373823947693
2674744.34708407012032.65291592987967
2684745.42519561586521.57480438413475
2693735.80488099493041.19511900506961
2705149.75122544698981.24877455301021
2714547.0332685586537-2.03326855865367
2722120.065997004480.934002995519956
27311.21560851068448-0.215608510684477
2744242.7558366681675-0.755836668167477
2752625.33851619427690.661483805723093
2762121.2842708794755-0.284270879475513
27743.99696245609860.00303754390139999
2781010.0899998645772-0.0899998645771958
2794341.87800420360791.12199579639207
2803432.32544636132821.67455363867178
2813130.57945592044720.420544079552826
2821919.6915697610544-0.691569761054358
2833433.40756340221070.592436597789256
28466.13263373871659-0.132633738716592
2851111.4426245173706-0.442624517370623
2862423.1902199522590.809780047741014
2871615.57814540344860.421854596551425
2887269.20569018577732.7943098142227
2892126.0962813260482-5.09628132604825

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 145 & 139.455734270997 & 5.54426572900305 \tabularnewline
2 & 101 & 99.5316568115605 & 1.46834318843948 \tabularnewline
3 & 98 & 95.7266480756136 & 2.27335192438637 \tabularnewline
4 & 132 & 131.882508636381 & 0.117491363619066 \tabularnewline
5 & 60 & 59.4633436490562 & 0.536656350943796 \tabularnewline
6 & 38 & 37.3597745698025 & 0.640225430197456 \tabularnewline
7 & 144 & 146.272529896883 & -2.27252989688309 \tabularnewline
8 & 5 & 4.97951313774106 & 0.0204868622589378 \tabularnewline
9 & 28 & 27.0076737086502 & 0.992326291349794 \tabularnewline
10 & 84 & 82.0620987434746 & 1.93790125652538 \tabularnewline
11 & 79 & 78.1484177484047 & 0.85158225159528 \tabularnewline
12 & 127 & 125.097041975094 & 1.90295802490565 \tabularnewline
13 & 78 & 79.9568871340565 & -1.9568871340565 \tabularnewline
14 & 60 & 58.511713419563 & 1.48828658043697 \tabularnewline
15 & 131 & 127.114942035492 & 3.88505796450835 \tabularnewline
16 & 84 & 82.1033946556057 & 1.89660534439432 \tabularnewline
17 & 133 & 136.314678643065 & -3.31467864306528 \tabularnewline
18 & 150 & 146.633002628041 & 3.36699737195868 \tabularnewline
19 & 91 & 89.1375262250613 & 1.86247377493875 \tabularnewline
20 & 132 & 133.93076044164 & -1.93076044163968 \tabularnewline
21 & 136 & 145.261355035915 & -9.2613550359149 \tabularnewline
22 & 124 & 121.106098880878 & 2.89390111912196 \tabularnewline
23 & 118 & 114.719657175197 & 3.2803428248033 \tabularnewline
24 & 70 & 71.1057609224708 & -1.10576092247083 \tabularnewline
25 & 107 & 106.113981859552 & 0.886018140447741 \tabularnewline
26 & 119 & 119.949347952324 & -0.949347952324108 \tabularnewline
27 & 89 & 87.4183543453933 & 1.58164565460666 \tabularnewline
28 & 112 & 112.614062464668 & -0.614062464667765 \tabularnewline
29 & 108 & 109.767126304711 & -1.76712630471122 \tabularnewline
30 & 52 & 53.8654219392811 & -1.86542193928105 \tabularnewline
31 & 112 & 111.111912146895 & 0.888087853105255 \tabularnewline
32 & 116 & 116.305886599369 & -0.305886599369262 \tabularnewline
33 & 123 & 123.382830744128 & -0.382830744127513 \tabularnewline
34 & 125 & 123.029847808667 & 1.9701521913332 \tabularnewline
35 & 27 & 25.8459463915375 & 1.15405360846248 \tabularnewline
36 & 162 & 169.568942483022 & -7.5689424830218 \tabularnewline
37 & 32 & 34.0236524130274 & -2.02365241302741 \tabularnewline
38 & 64 & 61.6908833112423 & 2.30911668875768 \tabularnewline
39 & 92 & 93.0953920642524 & -1.0953920642524 \tabularnewline
40 & 0 & 0.197985366855323 & -0.197985366855323 \tabularnewline
41 & 83 & 81.7449162116042 & 1.25508378839581 \tabularnewline
42 & 41 & 40.4011346467469 & 0.598865353253126 \tabularnewline
43 & 47 & 45.9709987422845 & 1.02900125771555 \tabularnewline
44 & 120 & 122.413625722449 & -2.41362572244878 \tabularnewline
45 & 105 & 103.504483665967 & 1.49551633403329 \tabularnewline
46 & 79 & 77.9273093086956 & 1.07269069130438 \tabularnewline
47 & 65 & 67.7904176723322 & -2.79041767233221 \tabularnewline
48 & 70 & 71.7231308722589 & -1.72313087225887 \tabularnewline
49 & 55 & 55.4563283292368 & -0.456328329236822 \tabularnewline
50 & 39 & 40.7228740231254 & -1.72287402312539 \tabularnewline
51 & 67 & 65.8655947704991 & 1.13440522950087 \tabularnewline
52 & 21 & 20.6670030069015 & 0.332996993098534 \tabularnewline
53 & 127 & 122.273427467772 & 4.72657253222803 \tabularnewline
54 & 152 & 149.360087042737 & 2.63991295726321 \tabularnewline
55 & 113 & 112.481391069205 & 0.518608930794894 \tabularnewline
56 & 99 & 98.6874714340418 & 0.312528565958172 \tabularnewline
57 & 7 & 7.12558447178218 & -0.12558447178218 \tabularnewline
58 & 141 & 142.538913957289 & -1.5389139572887 \tabularnewline
59 & 21 & 20.5405506995417 & 0.459449300458259 \tabularnewline
60 & 35 & 34.1990612593 & 0.800938740700016 \tabularnewline
61 & 109 & 108.830925845388 & 0.169074154611862 \tabularnewline
62 & 133 & 132.876029317907 & 0.123970682092787 \tabularnewline
63 & 123 & 130.716706230702 & -7.71670623070183 \tabularnewline
64 & 26 & 25.3716992581358 & 0.628300741864216 \tabularnewline
65 & 230 & 222.229811754378 & 7.77018824562215 \tabularnewline
66 & 166 & 175.667702712895 & -9.66770271289498 \tabularnewline
67 & 68 & 70.2956026727762 & -2.29560267277623 \tabularnewline
68 & 147 & 143.366444888729 & 3.63355511127119 \tabularnewline
69 & 179 & 186.253319364112 & -7.25331936411166 \tabularnewline
70 & 61 & 62.8736877040088 & -1.87368770400877 \tabularnewline
71 & 101 & 101.893373359174 & -0.893373359173822 \tabularnewline
72 & 108 & 103.66223665662 & 4.33776334338038 \tabularnewline
73 & 90 & 91.4309476006807 & -1.43094760068068 \tabularnewline
74 & 114 & 112.127487322 & 1.8725126780004 \tabularnewline
75 & 103 & 103.334310951007 & -0.334310951007392 \tabularnewline
76 & 142 & 138.847719386221 & 3.15228061377887 \tabularnewline
77 & 79 & 80.4556877171189 & -1.4556877171189 \tabularnewline
78 & 88 & 86.6943668647908 & 1.30563313520919 \tabularnewline
79 & 25 & 25.3051234244376 & -0.30512342443765 \tabularnewline
80 & 83 & 81.1386304474281 & 1.86136955257187 \tabularnewline
81 & 113 & 109.950352006707 & 3.04964799329317 \tabularnewline
82 & 118 & 116.106790391019 & 1.89320960898138 \tabularnewline
83 & 110 & 107.752293908934 & 2.24770609106601 \tabularnewline
84 & 129 & 129.866481272697 & -0.866481272696508 \tabularnewline
85 & 51 & 53.4698698209608 & -2.4698698209608 \tabularnewline
86 & 93 & 93.366074725797 & -0.36607472579708 \tabularnewline
87 & 76 & 75.4776989884178 & 0.522301011582187 \tabularnewline
88 & 49 & 49.8354051681145 & -0.835405168114547 \tabularnewline
89 & 118 & 117.954456597784 & 0.0455434022160792 \tabularnewline
90 & 38 & 36.6351506351501 & 1.36484936484988 \tabularnewline
91 & 141 & 141.664106267781 & -0.664106267781 \tabularnewline
92 & 58 & 57.5477483561854 & 0.452251643814623 \tabularnewline
93 & 27 & 25.7525395014567 & 1.24746049854332 \tabularnewline
94 & 91 & 89.3059301883932 & 1.69406981160684 \tabularnewline
95 & 48 & 46.2004408760612 & 1.79955912393876 \tabularnewline
96 & 63 & 65.7531085154627 & -2.75310851546265 \tabularnewline
97 & 56 & 57.8645362534944 & -1.86453625349436 \tabularnewline
98 & 144 & 146.540565922089 & -2.54056592208912 \tabularnewline
99 & 73 & 72.022475824914 & 0.977524175085963 \tabularnewline
100 & 168 & 175.085093992372 & -7.08509399237214 \tabularnewline
101 & 64 & 62.8211565769065 & 1.17884342309345 \tabularnewline
102 & 97 & 93.8623225405187 & 3.13767745948128 \tabularnewline
103 & 117 & 117.637851126507 & -0.637851126507445 \tabularnewline
104 & 100 & 96.24664642115 & 3.75335357885 \tabularnewline
105 & 149 & 147.6331203062 & 1.36687969380008 \tabularnewline
106 & 187 & 183.118522114389 & 3.88147788561105 \tabularnewline
107 & 127 & 133.967131241755 & -6.96713124175477 \tabularnewline
108 & 37 & 39.177755506329 & -2.17775550632902 \tabularnewline
109 & 245 & 247.149257086046 & -2.1492570860462 \tabularnewline
110 & 87 & 85.9084735557138 & 1.09152644428623 \tabularnewline
111 & 177 & 172.359669744391 & 4.64033025560927 \tabularnewline
112 & 49 & 49.6574078918591 & -0.657407891859117 \tabularnewline
113 & 49 & 47.1524436744521 & 1.84755632554794 \tabularnewline
114 & 73 & 72.3079545678178 & 0.692045432182216 \tabularnewline
115 & 177 & 171.185733147649 & 5.81426685235071 \tabularnewline
116 & 94 & 92.9955369613912 & 1.00446303860885 \tabularnewline
117 & 117 & 117.7444019353 & -0.744401935299739 \tabularnewline
118 & 60 & 63.9738338862978 & -3.97383388629782 \tabularnewline
119 & 55 & 54.7166895282396 & 0.283310471760356 \tabularnewline
120 & 39 & 38.3683370280791 & 0.631662971920866 \tabularnewline
121 & 64 & 64.5292178504364 & -0.529217850436413 \tabularnewline
122 & 26 & 26.5900382150975 & -0.590038215097494 \tabularnewline
123 & 64 & 62.741062480139 & 1.25893751986102 \tabularnewline
124 & 58 & 56.4779336616148 & 1.5220663383852 \tabularnewline
125 & 95 & 94.790379500218 & 0.209620499782034 \tabularnewline
126 & 25 & 24.5961502415265 & 0.40384975847353 \tabularnewline
127 & 26 & 25.5727957275701 & 0.427204272429945 \tabularnewline
128 & 76 & 74.6800847463157 & 1.31991525368432 \tabularnewline
129 & 129 & 126.867543940288 & 2.13245605971189 \tabularnewline
130 & 11 & 10.9516804913054 & 0.0483195086945779 \tabularnewline
131 & 2 & 2.1989346824932 & -0.198934682493196 \tabularnewline
132 & 101 & 99.0327003540545 & 1.96729964594551 \tabularnewline
133 & 28 & 30.5543971237403 & -2.55439712374028 \tabularnewline
134 & 36 & 35.0580863971053 & 0.941913602894648 \tabularnewline
135 & 89 & 115.203452230934 & -26.2034522309336 \tabularnewline
136 & 193 & 188.522018977718 & 4.47798102228239 \tabularnewline
137 & 4 & 4.05961872789009 & -0.0596187278900914 \tabularnewline
138 & 84 & 86.7386978027153 & -2.73869780271532 \tabularnewline
139 & 23 & 23.4019540831165 & -0.401954083116526 \tabularnewline
140 & 39 & 37.9606082357276 & 1.03939176427236 \tabularnewline
141 & 14 & 13.5464520857199 & 0.453547914280143 \tabularnewline
142 & 78 & 75.7474744971588 & 2.25252550284117 \tabularnewline
143 & 14 & 14.0342579461098 & -0.0342579461097569 \tabularnewline
144 & 101 & 102.99789558609 & -1.99789558608982 \tabularnewline
145 & 82 & 80.7679795184628 & 1.2320204815372 \tabularnewline
146 & 24 & 23.5512084576682 & 0.44879154233182 \tabularnewline
147 & 36 & 35.6721188254563 & 0.327881174543693 \tabularnewline
148 & 75 & 74.2918118918466 & 0.708188108153347 \tabularnewline
149 & 16 & 15.6190378792379 & 0.380962120762061 \tabularnewline
150 & 55 & 54.0055310897854 & 0.994468910214612 \tabularnewline
151 & 131 & 127.699674128194 & 3.30032587180639 \tabularnewline
152 & 131 & 137.705515044594 & -6.70551504459395 \tabularnewline
153 & 39 & 39.1175985364343 & -0.117598536434316 \tabularnewline
154 & 144 & 148.904457878537 & -4.90445787853655 \tabularnewline
155 & 139 & 138.301126255502 & 0.698873744497524 \tabularnewline
156 & 211 & 213.401545154317 & -2.40154515431672 \tabularnewline
157 & 78 & 76.2127573957777 & 1.78724260422225 \tabularnewline
158 & 50 & 48.0409043803719 & 1.95909561962811 \tabularnewline
159 & 39 & 37.5576119840663 & 1.44238801593372 \tabularnewline
160 & 90 & 91.803450600069 & -1.80345060006906 \tabularnewline
161 & 166 & 162.898638178591 & 3.10136182140891 \tabularnewline
162 & 12 & 11.8716118305387 & 0.128388169461288 \tabularnewline
163 & 57 & 61.0347216717731 & -4.0347216717731 \tabularnewline
164 & 133 & 130.664047346123 & 2.33595265387653 \tabularnewline
165 & 69 & 67.0931486737487 & 1.90685132625131 \tabularnewline
166 & 119 & 115.546322151875 & 3.45367784812534 \tabularnewline
167 & 119 & 114.688906927232 & 4.31109307276768 \tabularnewline
168 & 65 & 72.2857501023766 & -7.28575010237656 \tabularnewline
169 & 61 & 61.2371337310866 & -0.237133731086582 \tabularnewline
170 & 49 & 53.295147835107 & -4.29514783510706 \tabularnewline
171 & 101 & 100.646559922832 & 0.353440077167595 \tabularnewline
172 & 196 & 190.528186579985 & 5.47181342001468 \tabularnewline
173 & 15 & 15.7469915274156 & -0.746991527415587 \tabularnewline
174 & 136 & 137.369280549482 & -1.36928054948216 \tabularnewline
175 & 89 & 87.4783818256254 & 1.52161817437457 \tabularnewline
176 & 40 & 38.9094299033855 & 1.0905700966145 \tabularnewline
177 & 123 & 121.783286447098 & 1.21671355290191 \tabularnewline
178 & 21 & 20.2765133592621 & 0.723486640737872 \tabularnewline
179 & 163 & 162.175719226599 & 0.824280773401152 \tabularnewline
180 & 29 & 31.7262858088573 & -2.72628580885728 \tabularnewline
181 & 35 & 35.4485717134897 & -0.44857171348971 \tabularnewline
182 & 13 & 13.2707798602871 & -0.270779860287117 \tabularnewline
183 & 5 & 5.13725711848976 & -0.137257118489756 \tabularnewline
184 & 96 & 92.8580549576533 & 3.14194504234672 \tabularnewline
185 & 151 & 146.148465486787 & 4.8515345132126 \tabularnewline
186 & 6 & 6.05160102269866 & -0.0516010226986565 \tabularnewline
187 & 13 & 12.786493842913 & 0.213506157087042 \tabularnewline
188 & 3 & 3.12293742683226 & -0.122937426832258 \tabularnewline
189 & 56 & 55.095864904984 & 0.90413509501605 \tabularnewline
190 & 23 & 22.8034528314237 & 0.196547168576347 \tabularnewline
191 & 57 & 60.1734438664088 & -3.17344386640881 \tabularnewline
192 & 14 & 20.3410688728506 & -6.34106887285057 \tabularnewline
193 & 43 & 42.3176161604536 & 0.68238383954638 \tabularnewline
194 & 20 & 19.5861746495799 & 0.413825350420103 \tabularnewline
195 & 72 & 79.2379060284032 & -7.23790602840316 \tabularnewline
196 & 87 & 87.0176779038309 & -0.0176779038308635 \tabularnewline
197 & 21 & 23.8600377462556 & -2.86003774625564 \tabularnewline
198 & 56 & 57.6976642906436 & -1.69766429064362 \tabularnewline
199 & 59 & 58.7508828055807 & 0.249117194419305 \tabularnewline
200 & 82 & 81.5357448502678 & 0.464255149732182 \tabularnewline
201 & 43 & 41.7585526553336 & 1.2414473446664 \tabularnewline
202 & 25 & 24.3005140522099 & 0.699485947790136 \tabularnewline
203 & 38 & 39.6454174746328 & -1.64541747463284 \tabularnewline
204 & 25 & 25.360171958876 & -0.360171958876021 \tabularnewline
205 & 38 & 36.8864640237311 & 1.11353597626893 \tabularnewline
206 & 12 & 11.5828200595918 & 0.41717994040819 \tabularnewline
207 & 29 & 28.2530353279725 & 0.746964672027495 \tabularnewline
208 & 47 & 47.2725274910367 & -0.272527491036714 \tabularnewline
209 & 45 & 44.4338584560036 & 0.566141543996423 \tabularnewline
210 & 40 & 39.3371401169837 & 0.662859883016298 \tabularnewline
211 & 30 & 30.6987528355985 & -0.698752835598497 \tabularnewline
212 & 41 & 39.6544166267139 & 1.34558337328605 \tabularnewline
213 & 25 & 25.1745472095101 & -0.174547209510144 \tabularnewline
214 & 23 & 22.5356630700872 & 0.464336929912777 \tabularnewline
215 & 14 & 13.608150148633 & 0.391849851367 \tabularnewline
216 & 16 & 14.8960829058283 & 1.10391709417165 \tabularnewline
217 & 26 & 24.222708125582 & 1.777291874418 \tabularnewline
218 & 21 & 20.8424645870799 & 0.157535412920075 \tabularnewline
219 & 27 & 31.3319733698629 & -4.33197336986291 \tabularnewline
220 & 9 & 8.44852086803621 & 0.55147913196379 \tabularnewline
221 & 33 & 33.7408068398415 & -0.740806839841465 \tabularnewline
222 & 42 & 41.0428647182758 & 0.95713528172425 \tabularnewline
223 & 68 & 66.1050436109785 & 1.89495638902151 \tabularnewline
224 & 32 & 30.9403867710265 & 1.0596132289735 \tabularnewline
225 & 6 & 5.556362962973 & 0.443637037026997 \tabularnewline
226 & 67 & 65.9047146287628 & 1.09528537123723 \tabularnewline
227 & 33 & 32.3236595799451 & 0.676340420054939 \tabularnewline
228 & 77 & 80.5559028509056 & -3.55590285090563 \tabularnewline
229 & 46 & 44.8453940286432 & 1.15460597135677 \tabularnewline
230 & 30 & 28.8701845678314 & 1.12981543216856 \tabularnewline
231 & 0 & -0.239548004385581 & 0.239548004385581 \tabularnewline
232 & 36 & 35.304429567071 & 0.695570432929047 \tabularnewline
233 & 46 & 45.2490820865476 & 0.750917913452389 \tabularnewline
234 & 18 & 19.5303680741595 & -1.53036807415951 \tabularnewline
235 & 48 & 48.5099067784874 & -0.509906778487428 \tabularnewline
236 & 29 & 29.555321220822 & -0.555321220822007 \tabularnewline
237 & 28 & 28.7603208040007 & -0.7603208040007 \tabularnewline
238 & 34 & 33.1977108533696 & 0.802289146630373 \tabularnewline
239 & 33 & 32.1778278724394 & 0.822172127560553 \tabularnewline
240 & 34 & 32.5324631075192 & 1.46753689248079 \tabularnewline
241 & 33 & 35.8066021118082 & -2.80660211180821 \tabularnewline
242 & 80 & 79.6934590730804 & 0.306540926919615 \tabularnewline
243 & 32 & 31.054126554735 & 0.945873445265 \tabularnewline
244 & 30 & 29.2176668676804 & 0.782333132319617 \tabularnewline
245 & 41 & 41.3684888048499 & -0.368488804849938 \tabularnewline
246 & 41 & 39.8545979648002 & 1.14540203519975 \tabularnewline
247 & 51 & 49.8617684012319 & 1.13823159876811 \tabularnewline
248 & 18 & 18.0781157570799 & -0.078115757079929 \tabularnewline
249 & 34 & 35.5465139552762 & -1.54651395527616 \tabularnewline
250 & 31 & 32.5064689753789 & -1.50646897537891 \tabularnewline
251 & 39 & 39.391600588173 & -0.391600588173015 \tabularnewline
252 & 54 & 52.1026793331673 & 1.8973206668327 \tabularnewline
253 & 14 & 13.8347858991187 & 0.165214100881261 \tabularnewline
254 & 24 & 23.8525217996685 & 0.147478200331502 \tabularnewline
255 & 24 & 24.0910448801193 & -0.0910448801192555 \tabularnewline
256 & 8 & 7.9797970865505 & 0.0202029134495038 \tabularnewline
257 & 26 & 25.5586663312177 & 0.44133366878234 \tabularnewline
258 & 19 & 19.7293325582472 & -0.729332558247238 \tabularnewline
259 & 11 & 10.9630389044904 & 0.0369610955096355 \tabularnewline
260 & 14 & 13.8552385629109 & 0.144761437089136 \tabularnewline
261 & 1 & 3.07619824840046 & -2.07619824840046 \tabularnewline
262 & 39 & 38.6768625181566 & 0.323137481843382 \tabularnewline
263 & 5 & 5.02114943915111 & -0.0211494391511079 \tabularnewline
264 & 37 & 37.3090848567548 & -0.309084856754808 \tabularnewline
265 & 32 & 30.5536879025088 & 1.44631209749116 \tabularnewline
266 & 38 & 39.9037382394769 & -1.90373823947693 \tabularnewline
267 & 47 & 44.3470840701203 & 2.65291592987967 \tabularnewline
268 & 47 & 45.4251956158652 & 1.57480438413475 \tabularnewline
269 & 37 & 35.8048809949304 & 1.19511900506961 \tabularnewline
270 & 51 & 49.7512254469898 & 1.24877455301021 \tabularnewline
271 & 45 & 47.0332685586537 & -2.03326855865367 \tabularnewline
272 & 21 & 20.06599700448 & 0.934002995519956 \tabularnewline
273 & 1 & 1.21560851068448 & -0.215608510684477 \tabularnewline
274 & 42 & 42.7558366681675 & -0.755836668167477 \tabularnewline
275 & 26 & 25.3385161942769 & 0.661483805723093 \tabularnewline
276 & 21 & 21.2842708794755 & -0.284270879475513 \tabularnewline
277 & 4 & 3.9969624560986 & 0.00303754390139999 \tabularnewline
278 & 10 & 10.0899998645772 & -0.0899998645771958 \tabularnewline
279 & 43 & 41.8780042036079 & 1.12199579639207 \tabularnewline
280 & 34 & 32.3254463613282 & 1.67455363867178 \tabularnewline
281 & 31 & 30.5794559204472 & 0.420544079552826 \tabularnewline
282 & 19 & 19.6915697610544 & -0.691569761054358 \tabularnewline
283 & 34 & 33.4075634022107 & 0.592436597789256 \tabularnewline
284 & 6 & 6.13263373871659 & -0.132633738716592 \tabularnewline
285 & 11 & 11.4426245173706 & -0.442624517370623 \tabularnewline
286 & 24 & 23.190219952259 & 0.809780047741014 \tabularnewline
287 & 16 & 15.5781454034486 & 0.421854596551425 \tabularnewline
288 & 72 & 69.2056901857773 & 2.7943098142227 \tabularnewline
289 & 21 & 26.0962813260482 & -5.09628132604825 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154299&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]145[/C][C]139.455734270997[/C][C]5.54426572900305[/C][/ROW]
[ROW][C]2[/C][C]101[/C][C]99.5316568115605[/C][C]1.46834318843948[/C][/ROW]
[ROW][C]3[/C][C]98[/C][C]95.7266480756136[/C][C]2.27335192438637[/C][/ROW]
[ROW][C]4[/C][C]132[/C][C]131.882508636381[/C][C]0.117491363619066[/C][/ROW]
[ROW][C]5[/C][C]60[/C][C]59.4633436490562[/C][C]0.536656350943796[/C][/ROW]
[ROW][C]6[/C][C]38[/C][C]37.3597745698025[/C][C]0.640225430197456[/C][/ROW]
[ROW][C]7[/C][C]144[/C][C]146.272529896883[/C][C]-2.27252989688309[/C][/ROW]
[ROW][C]8[/C][C]5[/C][C]4.97951313774106[/C][C]0.0204868622589378[/C][/ROW]
[ROW][C]9[/C][C]28[/C][C]27.0076737086502[/C][C]0.992326291349794[/C][/ROW]
[ROW][C]10[/C][C]84[/C][C]82.0620987434746[/C][C]1.93790125652538[/C][/ROW]
[ROW][C]11[/C][C]79[/C][C]78.1484177484047[/C][C]0.85158225159528[/C][/ROW]
[ROW][C]12[/C][C]127[/C][C]125.097041975094[/C][C]1.90295802490565[/C][/ROW]
[ROW][C]13[/C][C]78[/C][C]79.9568871340565[/C][C]-1.9568871340565[/C][/ROW]
[ROW][C]14[/C][C]60[/C][C]58.511713419563[/C][C]1.48828658043697[/C][/ROW]
[ROW][C]15[/C][C]131[/C][C]127.114942035492[/C][C]3.88505796450835[/C][/ROW]
[ROW][C]16[/C][C]84[/C][C]82.1033946556057[/C][C]1.89660534439432[/C][/ROW]
[ROW][C]17[/C][C]133[/C][C]136.314678643065[/C][C]-3.31467864306528[/C][/ROW]
[ROW][C]18[/C][C]150[/C][C]146.633002628041[/C][C]3.36699737195868[/C][/ROW]
[ROW][C]19[/C][C]91[/C][C]89.1375262250613[/C][C]1.86247377493875[/C][/ROW]
[ROW][C]20[/C][C]132[/C][C]133.93076044164[/C][C]-1.93076044163968[/C][/ROW]
[ROW][C]21[/C][C]136[/C][C]145.261355035915[/C][C]-9.2613550359149[/C][/ROW]
[ROW][C]22[/C][C]124[/C][C]121.106098880878[/C][C]2.89390111912196[/C][/ROW]
[ROW][C]23[/C][C]118[/C][C]114.719657175197[/C][C]3.2803428248033[/C][/ROW]
[ROW][C]24[/C][C]70[/C][C]71.1057609224708[/C][C]-1.10576092247083[/C][/ROW]
[ROW][C]25[/C][C]107[/C][C]106.113981859552[/C][C]0.886018140447741[/C][/ROW]
[ROW][C]26[/C][C]119[/C][C]119.949347952324[/C][C]-0.949347952324108[/C][/ROW]
[ROW][C]27[/C][C]89[/C][C]87.4183543453933[/C][C]1.58164565460666[/C][/ROW]
[ROW][C]28[/C][C]112[/C][C]112.614062464668[/C][C]-0.614062464667765[/C][/ROW]
[ROW][C]29[/C][C]108[/C][C]109.767126304711[/C][C]-1.76712630471122[/C][/ROW]
[ROW][C]30[/C][C]52[/C][C]53.8654219392811[/C][C]-1.86542193928105[/C][/ROW]
[ROW][C]31[/C][C]112[/C][C]111.111912146895[/C][C]0.888087853105255[/C][/ROW]
[ROW][C]32[/C][C]116[/C][C]116.305886599369[/C][C]-0.305886599369262[/C][/ROW]
[ROW][C]33[/C][C]123[/C][C]123.382830744128[/C][C]-0.382830744127513[/C][/ROW]
[ROW][C]34[/C][C]125[/C][C]123.029847808667[/C][C]1.9701521913332[/C][/ROW]
[ROW][C]35[/C][C]27[/C][C]25.8459463915375[/C][C]1.15405360846248[/C][/ROW]
[ROW][C]36[/C][C]162[/C][C]169.568942483022[/C][C]-7.5689424830218[/C][/ROW]
[ROW][C]37[/C][C]32[/C][C]34.0236524130274[/C][C]-2.02365241302741[/C][/ROW]
[ROW][C]38[/C][C]64[/C][C]61.6908833112423[/C][C]2.30911668875768[/C][/ROW]
[ROW][C]39[/C][C]92[/C][C]93.0953920642524[/C][C]-1.0953920642524[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]0.197985366855323[/C][C]-0.197985366855323[/C][/ROW]
[ROW][C]41[/C][C]83[/C][C]81.7449162116042[/C][C]1.25508378839581[/C][/ROW]
[ROW][C]42[/C][C]41[/C][C]40.4011346467469[/C][C]0.598865353253126[/C][/ROW]
[ROW][C]43[/C][C]47[/C][C]45.9709987422845[/C][C]1.02900125771555[/C][/ROW]
[ROW][C]44[/C][C]120[/C][C]122.413625722449[/C][C]-2.41362572244878[/C][/ROW]
[ROW][C]45[/C][C]105[/C][C]103.504483665967[/C][C]1.49551633403329[/C][/ROW]
[ROW][C]46[/C][C]79[/C][C]77.9273093086956[/C][C]1.07269069130438[/C][/ROW]
[ROW][C]47[/C][C]65[/C][C]67.7904176723322[/C][C]-2.79041767233221[/C][/ROW]
[ROW][C]48[/C][C]70[/C][C]71.7231308722589[/C][C]-1.72313087225887[/C][/ROW]
[ROW][C]49[/C][C]55[/C][C]55.4563283292368[/C][C]-0.456328329236822[/C][/ROW]
[ROW][C]50[/C][C]39[/C][C]40.7228740231254[/C][C]-1.72287402312539[/C][/ROW]
[ROW][C]51[/C][C]67[/C][C]65.8655947704991[/C][C]1.13440522950087[/C][/ROW]
[ROW][C]52[/C][C]21[/C][C]20.6670030069015[/C][C]0.332996993098534[/C][/ROW]
[ROW][C]53[/C][C]127[/C][C]122.273427467772[/C][C]4.72657253222803[/C][/ROW]
[ROW][C]54[/C][C]152[/C][C]149.360087042737[/C][C]2.63991295726321[/C][/ROW]
[ROW][C]55[/C][C]113[/C][C]112.481391069205[/C][C]0.518608930794894[/C][/ROW]
[ROW][C]56[/C][C]99[/C][C]98.6874714340418[/C][C]0.312528565958172[/C][/ROW]
[ROW][C]57[/C][C]7[/C][C]7.12558447178218[/C][C]-0.12558447178218[/C][/ROW]
[ROW][C]58[/C][C]141[/C][C]142.538913957289[/C][C]-1.5389139572887[/C][/ROW]
[ROW][C]59[/C][C]21[/C][C]20.5405506995417[/C][C]0.459449300458259[/C][/ROW]
[ROW][C]60[/C][C]35[/C][C]34.1990612593[/C][C]0.800938740700016[/C][/ROW]
[ROW][C]61[/C][C]109[/C][C]108.830925845388[/C][C]0.169074154611862[/C][/ROW]
[ROW][C]62[/C][C]133[/C][C]132.876029317907[/C][C]0.123970682092787[/C][/ROW]
[ROW][C]63[/C][C]123[/C][C]130.716706230702[/C][C]-7.71670623070183[/C][/ROW]
[ROW][C]64[/C][C]26[/C][C]25.3716992581358[/C][C]0.628300741864216[/C][/ROW]
[ROW][C]65[/C][C]230[/C][C]222.229811754378[/C][C]7.77018824562215[/C][/ROW]
[ROW][C]66[/C][C]166[/C][C]175.667702712895[/C][C]-9.66770271289498[/C][/ROW]
[ROW][C]67[/C][C]68[/C][C]70.2956026727762[/C][C]-2.29560267277623[/C][/ROW]
[ROW][C]68[/C][C]147[/C][C]143.366444888729[/C][C]3.63355511127119[/C][/ROW]
[ROW][C]69[/C][C]179[/C][C]186.253319364112[/C][C]-7.25331936411166[/C][/ROW]
[ROW][C]70[/C][C]61[/C][C]62.8736877040088[/C][C]-1.87368770400877[/C][/ROW]
[ROW][C]71[/C][C]101[/C][C]101.893373359174[/C][C]-0.893373359173822[/C][/ROW]
[ROW][C]72[/C][C]108[/C][C]103.66223665662[/C][C]4.33776334338038[/C][/ROW]
[ROW][C]73[/C][C]90[/C][C]91.4309476006807[/C][C]-1.43094760068068[/C][/ROW]
[ROW][C]74[/C][C]114[/C][C]112.127487322[/C][C]1.8725126780004[/C][/ROW]
[ROW][C]75[/C][C]103[/C][C]103.334310951007[/C][C]-0.334310951007392[/C][/ROW]
[ROW][C]76[/C][C]142[/C][C]138.847719386221[/C][C]3.15228061377887[/C][/ROW]
[ROW][C]77[/C][C]79[/C][C]80.4556877171189[/C][C]-1.4556877171189[/C][/ROW]
[ROW][C]78[/C][C]88[/C][C]86.6943668647908[/C][C]1.30563313520919[/C][/ROW]
[ROW][C]79[/C][C]25[/C][C]25.3051234244376[/C][C]-0.30512342443765[/C][/ROW]
[ROW][C]80[/C][C]83[/C][C]81.1386304474281[/C][C]1.86136955257187[/C][/ROW]
[ROW][C]81[/C][C]113[/C][C]109.950352006707[/C][C]3.04964799329317[/C][/ROW]
[ROW][C]82[/C][C]118[/C][C]116.106790391019[/C][C]1.89320960898138[/C][/ROW]
[ROW][C]83[/C][C]110[/C][C]107.752293908934[/C][C]2.24770609106601[/C][/ROW]
[ROW][C]84[/C][C]129[/C][C]129.866481272697[/C][C]-0.866481272696508[/C][/ROW]
[ROW][C]85[/C][C]51[/C][C]53.4698698209608[/C][C]-2.4698698209608[/C][/ROW]
[ROW][C]86[/C][C]93[/C][C]93.366074725797[/C][C]-0.36607472579708[/C][/ROW]
[ROW][C]87[/C][C]76[/C][C]75.4776989884178[/C][C]0.522301011582187[/C][/ROW]
[ROW][C]88[/C][C]49[/C][C]49.8354051681145[/C][C]-0.835405168114547[/C][/ROW]
[ROW][C]89[/C][C]118[/C][C]117.954456597784[/C][C]0.0455434022160792[/C][/ROW]
[ROW][C]90[/C][C]38[/C][C]36.6351506351501[/C][C]1.36484936484988[/C][/ROW]
[ROW][C]91[/C][C]141[/C][C]141.664106267781[/C][C]-0.664106267781[/C][/ROW]
[ROW][C]92[/C][C]58[/C][C]57.5477483561854[/C][C]0.452251643814623[/C][/ROW]
[ROW][C]93[/C][C]27[/C][C]25.7525395014567[/C][C]1.24746049854332[/C][/ROW]
[ROW][C]94[/C][C]91[/C][C]89.3059301883932[/C][C]1.69406981160684[/C][/ROW]
[ROW][C]95[/C][C]48[/C][C]46.2004408760612[/C][C]1.79955912393876[/C][/ROW]
[ROW][C]96[/C][C]63[/C][C]65.7531085154627[/C][C]-2.75310851546265[/C][/ROW]
[ROW][C]97[/C][C]56[/C][C]57.8645362534944[/C][C]-1.86453625349436[/C][/ROW]
[ROW][C]98[/C][C]144[/C][C]146.540565922089[/C][C]-2.54056592208912[/C][/ROW]
[ROW][C]99[/C][C]73[/C][C]72.022475824914[/C][C]0.977524175085963[/C][/ROW]
[ROW][C]100[/C][C]168[/C][C]175.085093992372[/C][C]-7.08509399237214[/C][/ROW]
[ROW][C]101[/C][C]64[/C][C]62.8211565769065[/C][C]1.17884342309345[/C][/ROW]
[ROW][C]102[/C][C]97[/C][C]93.8623225405187[/C][C]3.13767745948128[/C][/ROW]
[ROW][C]103[/C][C]117[/C][C]117.637851126507[/C][C]-0.637851126507445[/C][/ROW]
[ROW][C]104[/C][C]100[/C][C]96.24664642115[/C][C]3.75335357885[/C][/ROW]
[ROW][C]105[/C][C]149[/C][C]147.6331203062[/C][C]1.36687969380008[/C][/ROW]
[ROW][C]106[/C][C]187[/C][C]183.118522114389[/C][C]3.88147788561105[/C][/ROW]
[ROW][C]107[/C][C]127[/C][C]133.967131241755[/C][C]-6.96713124175477[/C][/ROW]
[ROW][C]108[/C][C]37[/C][C]39.177755506329[/C][C]-2.17775550632902[/C][/ROW]
[ROW][C]109[/C][C]245[/C][C]247.149257086046[/C][C]-2.1492570860462[/C][/ROW]
[ROW][C]110[/C][C]87[/C][C]85.9084735557138[/C][C]1.09152644428623[/C][/ROW]
[ROW][C]111[/C][C]177[/C][C]172.359669744391[/C][C]4.64033025560927[/C][/ROW]
[ROW][C]112[/C][C]49[/C][C]49.6574078918591[/C][C]-0.657407891859117[/C][/ROW]
[ROW][C]113[/C][C]49[/C][C]47.1524436744521[/C][C]1.84755632554794[/C][/ROW]
[ROW][C]114[/C][C]73[/C][C]72.3079545678178[/C][C]0.692045432182216[/C][/ROW]
[ROW][C]115[/C][C]177[/C][C]171.185733147649[/C][C]5.81426685235071[/C][/ROW]
[ROW][C]116[/C][C]94[/C][C]92.9955369613912[/C][C]1.00446303860885[/C][/ROW]
[ROW][C]117[/C][C]117[/C][C]117.7444019353[/C][C]-0.744401935299739[/C][/ROW]
[ROW][C]118[/C][C]60[/C][C]63.9738338862978[/C][C]-3.97383388629782[/C][/ROW]
[ROW][C]119[/C][C]55[/C][C]54.7166895282396[/C][C]0.283310471760356[/C][/ROW]
[ROW][C]120[/C][C]39[/C][C]38.3683370280791[/C][C]0.631662971920866[/C][/ROW]
[ROW][C]121[/C][C]64[/C][C]64.5292178504364[/C][C]-0.529217850436413[/C][/ROW]
[ROW][C]122[/C][C]26[/C][C]26.5900382150975[/C][C]-0.590038215097494[/C][/ROW]
[ROW][C]123[/C][C]64[/C][C]62.741062480139[/C][C]1.25893751986102[/C][/ROW]
[ROW][C]124[/C][C]58[/C][C]56.4779336616148[/C][C]1.5220663383852[/C][/ROW]
[ROW][C]125[/C][C]95[/C][C]94.790379500218[/C][C]0.209620499782034[/C][/ROW]
[ROW][C]126[/C][C]25[/C][C]24.5961502415265[/C][C]0.40384975847353[/C][/ROW]
[ROW][C]127[/C][C]26[/C][C]25.5727957275701[/C][C]0.427204272429945[/C][/ROW]
[ROW][C]128[/C][C]76[/C][C]74.6800847463157[/C][C]1.31991525368432[/C][/ROW]
[ROW][C]129[/C][C]129[/C][C]126.867543940288[/C][C]2.13245605971189[/C][/ROW]
[ROW][C]130[/C][C]11[/C][C]10.9516804913054[/C][C]0.0483195086945779[/C][/ROW]
[ROW][C]131[/C][C]2[/C][C]2.1989346824932[/C][C]-0.198934682493196[/C][/ROW]
[ROW][C]132[/C][C]101[/C][C]99.0327003540545[/C][C]1.96729964594551[/C][/ROW]
[ROW][C]133[/C][C]28[/C][C]30.5543971237403[/C][C]-2.55439712374028[/C][/ROW]
[ROW][C]134[/C][C]36[/C][C]35.0580863971053[/C][C]0.941913602894648[/C][/ROW]
[ROW][C]135[/C][C]89[/C][C]115.203452230934[/C][C]-26.2034522309336[/C][/ROW]
[ROW][C]136[/C][C]193[/C][C]188.522018977718[/C][C]4.47798102228239[/C][/ROW]
[ROW][C]137[/C][C]4[/C][C]4.05961872789009[/C][C]-0.0596187278900914[/C][/ROW]
[ROW][C]138[/C][C]84[/C][C]86.7386978027153[/C][C]-2.73869780271532[/C][/ROW]
[ROW][C]139[/C][C]23[/C][C]23.4019540831165[/C][C]-0.401954083116526[/C][/ROW]
[ROW][C]140[/C][C]39[/C][C]37.9606082357276[/C][C]1.03939176427236[/C][/ROW]
[ROW][C]141[/C][C]14[/C][C]13.5464520857199[/C][C]0.453547914280143[/C][/ROW]
[ROW][C]142[/C][C]78[/C][C]75.7474744971588[/C][C]2.25252550284117[/C][/ROW]
[ROW][C]143[/C][C]14[/C][C]14.0342579461098[/C][C]-0.0342579461097569[/C][/ROW]
[ROW][C]144[/C][C]101[/C][C]102.99789558609[/C][C]-1.99789558608982[/C][/ROW]
[ROW][C]145[/C][C]82[/C][C]80.7679795184628[/C][C]1.2320204815372[/C][/ROW]
[ROW][C]146[/C][C]24[/C][C]23.5512084576682[/C][C]0.44879154233182[/C][/ROW]
[ROW][C]147[/C][C]36[/C][C]35.6721188254563[/C][C]0.327881174543693[/C][/ROW]
[ROW][C]148[/C][C]75[/C][C]74.2918118918466[/C][C]0.708188108153347[/C][/ROW]
[ROW][C]149[/C][C]16[/C][C]15.6190378792379[/C][C]0.380962120762061[/C][/ROW]
[ROW][C]150[/C][C]55[/C][C]54.0055310897854[/C][C]0.994468910214612[/C][/ROW]
[ROW][C]151[/C][C]131[/C][C]127.699674128194[/C][C]3.30032587180639[/C][/ROW]
[ROW][C]152[/C][C]131[/C][C]137.705515044594[/C][C]-6.70551504459395[/C][/ROW]
[ROW][C]153[/C][C]39[/C][C]39.1175985364343[/C][C]-0.117598536434316[/C][/ROW]
[ROW][C]154[/C][C]144[/C][C]148.904457878537[/C][C]-4.90445787853655[/C][/ROW]
[ROW][C]155[/C][C]139[/C][C]138.301126255502[/C][C]0.698873744497524[/C][/ROW]
[ROW][C]156[/C][C]211[/C][C]213.401545154317[/C][C]-2.40154515431672[/C][/ROW]
[ROW][C]157[/C][C]78[/C][C]76.2127573957777[/C][C]1.78724260422225[/C][/ROW]
[ROW][C]158[/C][C]50[/C][C]48.0409043803719[/C][C]1.95909561962811[/C][/ROW]
[ROW][C]159[/C][C]39[/C][C]37.5576119840663[/C][C]1.44238801593372[/C][/ROW]
[ROW][C]160[/C][C]90[/C][C]91.803450600069[/C][C]-1.80345060006906[/C][/ROW]
[ROW][C]161[/C][C]166[/C][C]162.898638178591[/C][C]3.10136182140891[/C][/ROW]
[ROW][C]162[/C][C]12[/C][C]11.8716118305387[/C][C]0.128388169461288[/C][/ROW]
[ROW][C]163[/C][C]57[/C][C]61.0347216717731[/C][C]-4.0347216717731[/C][/ROW]
[ROW][C]164[/C][C]133[/C][C]130.664047346123[/C][C]2.33595265387653[/C][/ROW]
[ROW][C]165[/C][C]69[/C][C]67.0931486737487[/C][C]1.90685132625131[/C][/ROW]
[ROW][C]166[/C][C]119[/C][C]115.546322151875[/C][C]3.45367784812534[/C][/ROW]
[ROW][C]167[/C][C]119[/C][C]114.688906927232[/C][C]4.31109307276768[/C][/ROW]
[ROW][C]168[/C][C]65[/C][C]72.2857501023766[/C][C]-7.28575010237656[/C][/ROW]
[ROW][C]169[/C][C]61[/C][C]61.2371337310866[/C][C]-0.237133731086582[/C][/ROW]
[ROW][C]170[/C][C]49[/C][C]53.295147835107[/C][C]-4.29514783510706[/C][/ROW]
[ROW][C]171[/C][C]101[/C][C]100.646559922832[/C][C]0.353440077167595[/C][/ROW]
[ROW][C]172[/C][C]196[/C][C]190.528186579985[/C][C]5.47181342001468[/C][/ROW]
[ROW][C]173[/C][C]15[/C][C]15.7469915274156[/C][C]-0.746991527415587[/C][/ROW]
[ROW][C]174[/C][C]136[/C][C]137.369280549482[/C][C]-1.36928054948216[/C][/ROW]
[ROW][C]175[/C][C]89[/C][C]87.4783818256254[/C][C]1.52161817437457[/C][/ROW]
[ROW][C]176[/C][C]40[/C][C]38.9094299033855[/C][C]1.0905700966145[/C][/ROW]
[ROW][C]177[/C][C]123[/C][C]121.783286447098[/C][C]1.21671355290191[/C][/ROW]
[ROW][C]178[/C][C]21[/C][C]20.2765133592621[/C][C]0.723486640737872[/C][/ROW]
[ROW][C]179[/C][C]163[/C][C]162.175719226599[/C][C]0.824280773401152[/C][/ROW]
[ROW][C]180[/C][C]29[/C][C]31.7262858088573[/C][C]-2.72628580885728[/C][/ROW]
[ROW][C]181[/C][C]35[/C][C]35.4485717134897[/C][C]-0.44857171348971[/C][/ROW]
[ROW][C]182[/C][C]13[/C][C]13.2707798602871[/C][C]-0.270779860287117[/C][/ROW]
[ROW][C]183[/C][C]5[/C][C]5.13725711848976[/C][C]-0.137257118489756[/C][/ROW]
[ROW][C]184[/C][C]96[/C][C]92.8580549576533[/C][C]3.14194504234672[/C][/ROW]
[ROW][C]185[/C][C]151[/C][C]146.148465486787[/C][C]4.8515345132126[/C][/ROW]
[ROW][C]186[/C][C]6[/C][C]6.05160102269866[/C][C]-0.0516010226986565[/C][/ROW]
[ROW][C]187[/C][C]13[/C][C]12.786493842913[/C][C]0.213506157087042[/C][/ROW]
[ROW][C]188[/C][C]3[/C][C]3.12293742683226[/C][C]-0.122937426832258[/C][/ROW]
[ROW][C]189[/C][C]56[/C][C]55.095864904984[/C][C]0.90413509501605[/C][/ROW]
[ROW][C]190[/C][C]23[/C][C]22.8034528314237[/C][C]0.196547168576347[/C][/ROW]
[ROW][C]191[/C][C]57[/C][C]60.1734438664088[/C][C]-3.17344386640881[/C][/ROW]
[ROW][C]192[/C][C]14[/C][C]20.3410688728506[/C][C]-6.34106887285057[/C][/ROW]
[ROW][C]193[/C][C]43[/C][C]42.3176161604536[/C][C]0.68238383954638[/C][/ROW]
[ROW][C]194[/C][C]20[/C][C]19.5861746495799[/C][C]0.413825350420103[/C][/ROW]
[ROW][C]195[/C][C]72[/C][C]79.2379060284032[/C][C]-7.23790602840316[/C][/ROW]
[ROW][C]196[/C][C]87[/C][C]87.0176779038309[/C][C]-0.0176779038308635[/C][/ROW]
[ROW][C]197[/C][C]21[/C][C]23.8600377462556[/C][C]-2.86003774625564[/C][/ROW]
[ROW][C]198[/C][C]56[/C][C]57.6976642906436[/C][C]-1.69766429064362[/C][/ROW]
[ROW][C]199[/C][C]59[/C][C]58.7508828055807[/C][C]0.249117194419305[/C][/ROW]
[ROW][C]200[/C][C]82[/C][C]81.5357448502678[/C][C]0.464255149732182[/C][/ROW]
[ROW][C]201[/C][C]43[/C][C]41.7585526553336[/C][C]1.2414473446664[/C][/ROW]
[ROW][C]202[/C][C]25[/C][C]24.3005140522099[/C][C]0.699485947790136[/C][/ROW]
[ROW][C]203[/C][C]38[/C][C]39.6454174746328[/C][C]-1.64541747463284[/C][/ROW]
[ROW][C]204[/C][C]25[/C][C]25.360171958876[/C][C]-0.360171958876021[/C][/ROW]
[ROW][C]205[/C][C]38[/C][C]36.8864640237311[/C][C]1.11353597626893[/C][/ROW]
[ROW][C]206[/C][C]12[/C][C]11.5828200595918[/C][C]0.41717994040819[/C][/ROW]
[ROW][C]207[/C][C]29[/C][C]28.2530353279725[/C][C]0.746964672027495[/C][/ROW]
[ROW][C]208[/C][C]47[/C][C]47.2725274910367[/C][C]-0.272527491036714[/C][/ROW]
[ROW][C]209[/C][C]45[/C][C]44.4338584560036[/C][C]0.566141543996423[/C][/ROW]
[ROW][C]210[/C][C]40[/C][C]39.3371401169837[/C][C]0.662859883016298[/C][/ROW]
[ROW][C]211[/C][C]30[/C][C]30.6987528355985[/C][C]-0.698752835598497[/C][/ROW]
[ROW][C]212[/C][C]41[/C][C]39.6544166267139[/C][C]1.34558337328605[/C][/ROW]
[ROW][C]213[/C][C]25[/C][C]25.1745472095101[/C][C]-0.174547209510144[/C][/ROW]
[ROW][C]214[/C][C]23[/C][C]22.5356630700872[/C][C]0.464336929912777[/C][/ROW]
[ROW][C]215[/C][C]14[/C][C]13.608150148633[/C][C]0.391849851367[/C][/ROW]
[ROW][C]216[/C][C]16[/C][C]14.8960829058283[/C][C]1.10391709417165[/C][/ROW]
[ROW][C]217[/C][C]26[/C][C]24.222708125582[/C][C]1.777291874418[/C][/ROW]
[ROW][C]218[/C][C]21[/C][C]20.8424645870799[/C][C]0.157535412920075[/C][/ROW]
[ROW][C]219[/C][C]27[/C][C]31.3319733698629[/C][C]-4.33197336986291[/C][/ROW]
[ROW][C]220[/C][C]9[/C][C]8.44852086803621[/C][C]0.55147913196379[/C][/ROW]
[ROW][C]221[/C][C]33[/C][C]33.7408068398415[/C][C]-0.740806839841465[/C][/ROW]
[ROW][C]222[/C][C]42[/C][C]41.0428647182758[/C][C]0.95713528172425[/C][/ROW]
[ROW][C]223[/C][C]68[/C][C]66.1050436109785[/C][C]1.89495638902151[/C][/ROW]
[ROW][C]224[/C][C]32[/C][C]30.9403867710265[/C][C]1.0596132289735[/C][/ROW]
[ROW][C]225[/C][C]6[/C][C]5.556362962973[/C][C]0.443637037026997[/C][/ROW]
[ROW][C]226[/C][C]67[/C][C]65.9047146287628[/C][C]1.09528537123723[/C][/ROW]
[ROW][C]227[/C][C]33[/C][C]32.3236595799451[/C][C]0.676340420054939[/C][/ROW]
[ROW][C]228[/C][C]77[/C][C]80.5559028509056[/C][C]-3.55590285090563[/C][/ROW]
[ROW][C]229[/C][C]46[/C][C]44.8453940286432[/C][C]1.15460597135677[/C][/ROW]
[ROW][C]230[/C][C]30[/C][C]28.8701845678314[/C][C]1.12981543216856[/C][/ROW]
[ROW][C]231[/C][C]0[/C][C]-0.239548004385581[/C][C]0.239548004385581[/C][/ROW]
[ROW][C]232[/C][C]36[/C][C]35.304429567071[/C][C]0.695570432929047[/C][/ROW]
[ROW][C]233[/C][C]46[/C][C]45.2490820865476[/C][C]0.750917913452389[/C][/ROW]
[ROW][C]234[/C][C]18[/C][C]19.5303680741595[/C][C]-1.53036807415951[/C][/ROW]
[ROW][C]235[/C][C]48[/C][C]48.5099067784874[/C][C]-0.509906778487428[/C][/ROW]
[ROW][C]236[/C][C]29[/C][C]29.555321220822[/C][C]-0.555321220822007[/C][/ROW]
[ROW][C]237[/C][C]28[/C][C]28.7603208040007[/C][C]-0.7603208040007[/C][/ROW]
[ROW][C]238[/C][C]34[/C][C]33.1977108533696[/C][C]0.802289146630373[/C][/ROW]
[ROW][C]239[/C][C]33[/C][C]32.1778278724394[/C][C]0.822172127560553[/C][/ROW]
[ROW][C]240[/C][C]34[/C][C]32.5324631075192[/C][C]1.46753689248079[/C][/ROW]
[ROW][C]241[/C][C]33[/C][C]35.8066021118082[/C][C]-2.80660211180821[/C][/ROW]
[ROW][C]242[/C][C]80[/C][C]79.6934590730804[/C][C]0.306540926919615[/C][/ROW]
[ROW][C]243[/C][C]32[/C][C]31.054126554735[/C][C]0.945873445265[/C][/ROW]
[ROW][C]244[/C][C]30[/C][C]29.2176668676804[/C][C]0.782333132319617[/C][/ROW]
[ROW][C]245[/C][C]41[/C][C]41.3684888048499[/C][C]-0.368488804849938[/C][/ROW]
[ROW][C]246[/C][C]41[/C][C]39.8545979648002[/C][C]1.14540203519975[/C][/ROW]
[ROW][C]247[/C][C]51[/C][C]49.8617684012319[/C][C]1.13823159876811[/C][/ROW]
[ROW][C]248[/C][C]18[/C][C]18.0781157570799[/C][C]-0.078115757079929[/C][/ROW]
[ROW][C]249[/C][C]34[/C][C]35.5465139552762[/C][C]-1.54651395527616[/C][/ROW]
[ROW][C]250[/C][C]31[/C][C]32.5064689753789[/C][C]-1.50646897537891[/C][/ROW]
[ROW][C]251[/C][C]39[/C][C]39.391600588173[/C][C]-0.391600588173015[/C][/ROW]
[ROW][C]252[/C][C]54[/C][C]52.1026793331673[/C][C]1.8973206668327[/C][/ROW]
[ROW][C]253[/C][C]14[/C][C]13.8347858991187[/C][C]0.165214100881261[/C][/ROW]
[ROW][C]254[/C][C]24[/C][C]23.8525217996685[/C][C]0.147478200331502[/C][/ROW]
[ROW][C]255[/C][C]24[/C][C]24.0910448801193[/C][C]-0.0910448801192555[/C][/ROW]
[ROW][C]256[/C][C]8[/C][C]7.9797970865505[/C][C]0.0202029134495038[/C][/ROW]
[ROW][C]257[/C][C]26[/C][C]25.5586663312177[/C][C]0.44133366878234[/C][/ROW]
[ROW][C]258[/C][C]19[/C][C]19.7293325582472[/C][C]-0.729332558247238[/C][/ROW]
[ROW][C]259[/C][C]11[/C][C]10.9630389044904[/C][C]0.0369610955096355[/C][/ROW]
[ROW][C]260[/C][C]14[/C][C]13.8552385629109[/C][C]0.144761437089136[/C][/ROW]
[ROW][C]261[/C][C]1[/C][C]3.07619824840046[/C][C]-2.07619824840046[/C][/ROW]
[ROW][C]262[/C][C]39[/C][C]38.6768625181566[/C][C]0.323137481843382[/C][/ROW]
[ROW][C]263[/C][C]5[/C][C]5.02114943915111[/C][C]-0.0211494391511079[/C][/ROW]
[ROW][C]264[/C][C]37[/C][C]37.3090848567548[/C][C]-0.309084856754808[/C][/ROW]
[ROW][C]265[/C][C]32[/C][C]30.5536879025088[/C][C]1.44631209749116[/C][/ROW]
[ROW][C]266[/C][C]38[/C][C]39.9037382394769[/C][C]-1.90373823947693[/C][/ROW]
[ROW][C]267[/C][C]47[/C][C]44.3470840701203[/C][C]2.65291592987967[/C][/ROW]
[ROW][C]268[/C][C]47[/C][C]45.4251956158652[/C][C]1.57480438413475[/C][/ROW]
[ROW][C]269[/C][C]37[/C][C]35.8048809949304[/C][C]1.19511900506961[/C][/ROW]
[ROW][C]270[/C][C]51[/C][C]49.7512254469898[/C][C]1.24877455301021[/C][/ROW]
[ROW][C]271[/C][C]45[/C][C]47.0332685586537[/C][C]-2.03326855865367[/C][/ROW]
[ROW][C]272[/C][C]21[/C][C]20.06599700448[/C][C]0.934002995519956[/C][/ROW]
[ROW][C]273[/C][C]1[/C][C]1.21560851068448[/C][C]-0.215608510684477[/C][/ROW]
[ROW][C]274[/C][C]42[/C][C]42.7558366681675[/C][C]-0.755836668167477[/C][/ROW]
[ROW][C]275[/C][C]26[/C][C]25.3385161942769[/C][C]0.661483805723093[/C][/ROW]
[ROW][C]276[/C][C]21[/C][C]21.2842708794755[/C][C]-0.284270879475513[/C][/ROW]
[ROW][C]277[/C][C]4[/C][C]3.9969624560986[/C][C]0.00303754390139999[/C][/ROW]
[ROW][C]278[/C][C]10[/C][C]10.0899998645772[/C][C]-0.0899998645771958[/C][/ROW]
[ROW][C]279[/C][C]43[/C][C]41.8780042036079[/C][C]1.12199579639207[/C][/ROW]
[ROW][C]280[/C][C]34[/C][C]32.3254463613282[/C][C]1.67455363867178[/C][/ROW]
[ROW][C]281[/C][C]31[/C][C]30.5794559204472[/C][C]0.420544079552826[/C][/ROW]
[ROW][C]282[/C][C]19[/C][C]19.6915697610544[/C][C]-0.691569761054358[/C][/ROW]
[ROW][C]283[/C][C]34[/C][C]33.4075634022107[/C][C]0.592436597789256[/C][/ROW]
[ROW][C]284[/C][C]6[/C][C]6.13263373871659[/C][C]-0.132633738716592[/C][/ROW]
[ROW][C]285[/C][C]11[/C][C]11.4426245173706[/C][C]-0.442624517370623[/C][/ROW]
[ROW][C]286[/C][C]24[/C][C]23.190219952259[/C][C]0.809780047741014[/C][/ROW]
[ROW][C]287[/C][C]16[/C][C]15.5781454034486[/C][C]0.421854596551425[/C][/ROW]
[ROW][C]288[/C][C]72[/C][C]69.2056901857773[/C][C]2.7943098142227[/C][/ROW]
[ROW][C]289[/C][C]21[/C][C]26.0962813260482[/C][C]-5.09628132604825[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154299&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154299&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
1145139.4557342709975.54426572900305
210199.53165681156051.46834318843948
39895.72664807561362.27335192438637
4132131.8825086363810.117491363619066
56059.46334364905620.536656350943796
63837.35977456980250.640225430197456
7144146.272529896883-2.27252989688309
854.979513137741060.0204868622589378
92827.00767370865020.992326291349794
108482.06209874347461.93790125652538
117978.14841774840470.85158225159528
12127125.0970419750941.90295802490565
137879.9568871340565-1.9568871340565
146058.5117134195631.48828658043697
15131127.1149420354923.88505796450835
168482.10339465560571.89660534439432
17133136.314678643065-3.31467864306528
18150146.6330026280413.36699737195868
199189.13752622506131.86247377493875
20132133.93076044164-1.93076044163968
21136145.261355035915-9.2613550359149
22124121.1060988808782.89390111912196
23118114.7196571751973.2803428248033
247071.1057609224708-1.10576092247083
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4000.197985366855323-0.197985366855323
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45105103.5044836659671.49551633403329
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503940.7228740231254-1.72287402312539
516765.86559477049911.13440522950087
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53127122.2734274677724.72657253222803
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58141142.538913957289-1.5389139572887
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603534.19906125930.800938740700016
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129129126.8675439402882.13245605971189
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1388486.7386978027153-2.73869780271532
1392323.4019540831165-0.401954083116526
1403937.96060823572761.03939176427236
1411413.54645208571990.453547914280143
1427875.74747449715882.25252550284117
1431414.0342579461098-0.0342579461097569
144101102.99789558609-1.99789558608982
1458280.76797951846281.2320204815372
1462423.55120845766820.44879154233182
1473635.67211882545630.327881174543693
1487574.29181189184660.708188108153347
1491615.61903787923790.380962120762061
1505554.00553108978540.994468910214612
151131127.6996741281943.30032587180639
152131137.705515044594-6.70551504459395
1533939.1175985364343-0.117598536434316
154144148.904457878537-4.90445787853655
155139138.3011262555020.698873744497524
156211213.401545154317-2.40154515431672
1577876.21275739577771.78724260422225
1585048.04090438037191.95909561962811
1593937.55761198406631.44238801593372
1609091.803450600069-1.80345060006906
161166162.8986381785913.10136182140891
1621211.87161183053870.128388169461288
1635761.0347216717731-4.0347216717731
164133130.6640473461232.33595265387653
1656967.09314867374871.90685132625131
166119115.5463221518753.45367784812534
167119114.6889069272324.31109307276768
1686572.2857501023766-7.28575010237656
1696161.2371337310866-0.237133731086582
1704953.295147835107-4.29514783510706
171101100.6465599228320.353440077167595
172196190.5281865799855.47181342001468
1731515.7469915274156-0.746991527415587
174136137.369280549482-1.36928054948216
1758987.47838182562541.52161817437457
1764038.90942990338551.0905700966145
177123121.7832864470981.21671355290191
1782120.27651335926210.723486640737872
179163162.1757192265990.824280773401152
1802931.7262858088573-2.72628580885728
1813535.4485717134897-0.44857171348971
1821313.2707798602871-0.270779860287117
18355.13725711848976-0.137257118489756
1849692.85805495765333.14194504234672
185151146.1484654867874.8515345132126
18666.05160102269866-0.0516010226986565
1871312.7864938429130.213506157087042
18833.12293742683226-0.122937426832258
1895655.0958649049840.90413509501605
1902322.80345283142370.196547168576347
1915760.1734438664088-3.17344386640881
1921420.3410688728506-6.34106887285057
1934342.31761616045360.68238383954638
1942019.58617464957990.413825350420103
1957279.2379060284032-7.23790602840316
1968787.0176779038309-0.0176779038308635
1972123.8600377462556-2.86003774625564
1985657.6976642906436-1.69766429064362
1995958.75088280558070.249117194419305
2008281.53574485026780.464255149732182
2014341.75855265533361.2414473446664
2022524.30051405220990.699485947790136
2033839.6454174746328-1.64541747463284
2042525.360171958876-0.360171958876021
2053836.88646402373111.11353597626893
2061211.58282005959180.41717994040819
2072928.25303532797250.746964672027495
2084747.2725274910367-0.272527491036714
2094544.43385845600360.566141543996423
2104039.33714011698370.662859883016298
2113030.6987528355985-0.698752835598497
2124139.65441662671391.34558337328605
2132525.1745472095101-0.174547209510144
2142322.53566307008720.464336929912777
2151413.6081501486330.391849851367
2161614.89608290582831.10391709417165
2172624.2227081255821.777291874418
2182120.84246458707990.157535412920075
2192731.3319733698629-4.33197336986291
22098.448520868036210.55147913196379
2213333.7408068398415-0.740806839841465
2224241.04286471827580.95713528172425
2236866.10504361097851.89495638902151
2243230.94038677102651.0596132289735
22565.5563629629730.443637037026997
2266765.90471462876281.09528537123723
2273332.32365957994510.676340420054939
2287780.5559028509056-3.55590285090563
2294644.84539402864321.15460597135677
2303028.87018456783141.12981543216856
2310-0.2395480043855810.239548004385581
2323635.3044295670710.695570432929047
2334645.24908208654760.750917913452389
2341819.5303680741595-1.53036807415951
2354848.5099067784874-0.509906778487428
2362929.555321220822-0.555321220822007
2372828.7603208040007-0.7603208040007
2383433.19771085336960.802289146630373
2393332.17782787243940.822172127560553
2403432.53246310751921.46753689248079
2413335.8066021118082-2.80660211180821
2428079.69345907308040.306540926919615
2433231.0541265547350.945873445265
2443029.21766686768040.782333132319617
2454141.3684888048499-0.368488804849938
2464139.85459796480021.14540203519975
2475149.86176840123191.13823159876811
2481818.0781157570799-0.078115757079929
2493435.5465139552762-1.54651395527616
2503132.5064689753789-1.50646897537891
2513939.391600588173-0.391600588173015
2525452.10267933316731.8973206668327
2531413.83478589911870.165214100881261
2542423.85252179966850.147478200331502
2552424.0910448801193-0.0910448801192555
25687.97979708655050.0202029134495038
2572625.55866633121770.44133366878234
2581919.7293325582472-0.729332558247238
2591110.96303890449040.0369610955096355
2601413.85523856291090.144761437089136
26113.07619824840046-2.07619824840046
2623938.67686251815660.323137481843382
26355.02114943915111-0.0211494391511079
2643737.3090848567548-0.309084856754808
2653230.55368790250881.44631209749116
2663839.9037382394769-1.90373823947693
2674744.34708407012032.65291592987967
2684745.42519561586521.57480438413475
2693735.80488099493041.19511900506961
2705149.75122544698981.24877455301021
2714547.0332685586537-2.03326855865367
2722120.065997004480.934002995519956
27311.21560851068448-0.215608510684477
2744242.7558366681675-0.755836668167477
2752625.33851619427690.661483805723093
2762121.2842708794755-0.284270879475513
27743.99696245609860.00303754390139999
2781010.0899998645772-0.0899998645771958
2794341.87800420360791.12199579639207
2803432.32544636132821.67455363867178
2813130.57945592044720.420544079552826
2821919.6915697610544-0.691569761054358
2833433.40756340221070.592436597789256
28466.13263373871659-0.132633738716592
2851111.4426245173706-0.442624517370623
2862423.1902199522590.809780047741014
2871615.57814540344860.421854596551425
2887269.20569018577732.7943098142227
2892126.0962813260482-5.09628132604825






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
140.2221399572216390.4442799144432790.777860042778361
150.1112848459374970.2225696918749940.888715154062503
160.05539899567756160.1107979913551230.944601004322438
170.02404954021104050.0480990804220810.97595045978896
180.0113734413224980.0227468826449960.988626558677502
190.004401280504909520.008802561009819040.99559871949509
200.0225096515018390.0450193030036780.97749034849816
210.447932204476130.8958644089522590.55206779552387
220.3623766276670590.7247532553341170.637623372332941
230.3000938576019090.6001877152038180.699906142398091
240.2938333965804590.5876667931609180.706166603419541
250.405757303378570.811514606757140.59424269662143
260.3382081246258690.6764162492517390.661791875374131
270.2887075023712020.5774150047424030.711292497628798
280.2621112372997850.5242224745995690.737888762700215
290.2070438146080320.4140876292160640.792956185391968
300.1608916044866660.3217832089733320.839108395513334
310.1237764887961890.2475529775923780.876223511203811
320.09278804299021350.1855760859804270.907211957009787
330.178022202847870.356044405695740.82197779715213
340.1772647368921940.3545294737843880.822735263107806
350.186407478109140.372814956218280.81359252189086
360.4541175324155940.9082350648311880.545882467584406
370.4005610573409640.8011221146819280.599438942659036
380.358998606035450.7179972120709010.64100139396455
390.3442650374919530.6885300749839060.655734962508047
400.3397427444440740.6794854888881480.660257255555926
410.2975280400164220.5950560800328440.702471959983578
420.2524740378643070.5049480757286130.747525962135693
430.2243718088679440.4487436177358880.775628191132056
440.1889977506624490.3779955013248970.811002249337551
450.2099509103407230.4199018206814450.790049089659277
460.1755343948020010.3510687896040020.824465605197999
470.1617665487988930.3235330975977850.838233451201107
480.1977782198928790.3955564397857570.802221780107121
490.1687448887652470.3374897775304950.831255111234753
500.216582363697530.433164727395060.78341763630247
510.2312497174239810.4624994348479620.768750282576019
520.1957368232101960.3914736464203920.804263176789804
530.266211639703420.5324232794068390.73378836029658
540.2561627181528370.5123254363056730.743837281847163
550.2232431756480130.4464863512960250.776756824351987
560.1895595539261750.3791191078523510.810440446073825
570.1600145082535430.3200290165070870.839985491746457
580.1431243303700470.2862486607400940.856875669629953
590.1192397139032660.2384794278065330.880760286096734
600.09962568138081760.1992513627616350.900374318619182
610.08085367125014480.161707342500290.919146328749855
620.06507282277404130.1301456455480830.934927177225959
630.1748262306548710.3496524613097410.825173769345129
640.1482512532462630.2965025064925250.851748746753737
650.325879402730260.651758805460520.67412059726974
660.716076617311790.567846765376420.28392338268821
670.6944137725146060.6111724549707870.305586227485394
680.7417153254557870.5165693490884260.258284674544213
690.862849368698780.2743012626024390.13715063130122
700.8717900027242980.2564199945514050.128209997275702
710.8534115799973740.2931768400052530.146588420002626
720.8621519134517180.2756961730965640.137848086548282
730.8443361048158340.3113277903683320.155663895184166
740.8279448360222050.3441103279555890.172055163977795
750.8015714506545430.3968570986909130.198428549345457
760.8174251321569970.3651497356860060.182574867843003
770.7981062410020610.4037875179958780.201893758997939
780.7748087911149230.4503824177701540.225191208885077
790.7477245995202080.5045508009595830.252275400479792
800.7247861126933440.5504277746133120.275213887306656
810.7178867079241670.5642265841516650.282113292075833
820.6953549094175490.6092901811649020.304645090582451
830.6904742641808710.6190514716382580.309525735819129
840.6575665343488590.6848669313022830.342433465651141
850.6539004730595360.6921990538809280.346099526940464
860.6181580568039480.7636838863921040.381841943196052
870.5836895604205610.8326208791588780.416310439579439
880.5494306943110080.9011386113779840.450569305688992
890.5115072560116770.9769854879766470.488492743988323
900.4807149415807480.9614298831614960.519285058419252
910.45091328001520.90182656003040.5490867199848
920.4211973181599980.8423946363199950.578802681840002
930.3902634508533060.7805269017066120.609736549146694
940.3667658947068730.7335317894137450.633234105293127
950.3437209539017830.6874419078035650.656279046098217
960.3459140047219640.6918280094439280.654085995278036
970.3341031698763040.6682063397526070.665896830123696
980.3286507160050470.6573014320100930.671349283994953
990.2973538277152740.5947076554305470.702646172284726
1000.4837604428746920.9675208857493840.516239557125308
1010.4531729580305820.9063459160611640.546827041969418
1020.4619109616670.9238219233340.538089038333
1030.4290891155148890.8581782310297780.570910884485111
1040.4519160794577130.9038321589154260.548083920542287
1050.4256540318429150.851308063685830.574345968157085
1060.4703324837067430.9406649674134860.529667516293257
1070.6285954299483320.7428091401033370.371404570051668
1080.6281065412432090.7437869175135830.371893458756791
1090.6169551424911750.766089715017650.383044857508825
1100.5898777598777940.8202444802444110.410122240122206
1110.634736472892790.7305270542144180.365263527107209
1120.6174550279524590.7650899440950830.382544972047541
1130.5923073654566760.8153852690866470.407692634543324
1140.5627563522409380.8744872955181250.437243647759062
1150.6385239685196180.7229520629607630.361476031480382
1160.6130897817046540.7738204365906910.386910218295346
1170.5903736316722140.8192527366555710.409626368327786
1180.624272320009760.751455359980480.37572767999024
1190.5924831643143860.8150336713712280.407516835685614
1200.562521727612770.8749565447744610.43747827238723
1210.5299269706488790.9401460587022420.470073029351121
1220.4984532975548880.9969065951097770.501546702445112
1230.470105196305030.940210392610060.52989480369497
1240.4423260333973310.8846520667946620.557673966602669
1250.407947600348880.8158952006977590.59205239965112
1260.3767450370458980.7534900740917970.623254962954102
1270.3446287214389830.6892574428779660.655371278561017
1280.3179010274411880.6358020548823760.682098972558812
1290.2981275511708360.5962551023416720.701872448829164
1300.2693748392367390.5387496784734790.73062516076326
1310.2418232191613720.4836464383227430.758176780838628
1320.2256912411425250.451382482285050.774308758857475
1330.2301977138907150.4603954277814290.769802286109285
1340.2084440191093950.4168880382187890.791555980890605
1350.9999999999999061.88342147739415e-139.41710738697077e-14
1360.9999999999999588.40673044002023e-144.20336522001011e-14
1370.9999999999999181.64058786011901e-138.20293930059506e-14
1380.9999999999999061.88740323976688e-139.43701619883438e-14
1390.9999999999998263.4826537107532e-131.7413268553766e-13
1400.9999999999996786.43890161613538e-133.21945080806769e-13
1410.9999999999994181.16474419658983e-125.82372098294915e-13
1420.9999999999994521.09525234962603e-125.47626174813013e-13
1430.9999999999989692.06251899776348e-121.03125949888174e-12
1440.9999999999991431.71404911941232e-128.57024559706162e-13
1450.9999999999986132.77386739562007e-121.38693369781003e-12
1460.9999999999977084.58459770233444e-122.29229885116722e-12
1470.9999999999957378.52619112923994e-124.26309556461997e-12
1480.9999999999941991.16027309966714e-115.80136549833568e-12
1490.9999999999893372.13258736689941e-111.06629368344971e-11
1500.999999999981553.68975558192804e-111.84487779096402e-11
1510.9999999999825333.4934537034258e-111.7467268517129e-11
1520.9999999999998562.87088281650836e-131.43544140825418e-13
1530.999999999999725.59526443928611e-132.79763221964305e-13
1540.9999999999999823.565173420032e-141.782586710016e-14
1550.9999999999999774.61761292875772e-142.30880646437886e-14
1560.999999999999976.07356945062361e-143.0367847253118e-14
1570.9999999999999481.04723542433622e-135.2361771216811e-14
1580.999999999999921.58230692987036e-137.91153464935182e-14
1590.999999999999872.5826376475955e-131.29131882379775e-13
1600.9999999999998692.62342576650527e-131.31171288325264e-13
1610.9999999999998063.87497804934007e-131.93748902467003e-13
1620.9999999999996776.4622428973452e-133.2311214486726e-13
1630.9999999999999171.65846139922383e-138.29230699611916e-14
1640.999999999999911.80444701032841e-139.02223505164207e-14
1650.9999999999998383.24315150518606e-131.62157575259303e-13
1660.9999999999998343.31157806017242e-131.65578903008621e-13
1670.9999999999998183.63603494517584e-131.81801747258792e-13
1680.9999999999999968.70200364474718e-154.35100182237359e-15
1690.9999999999999911.72982629280685e-148.64913146403426e-15
1700.9999999999999975.62329222621296e-152.81164611310648e-15
1710.9999999999999941.12247177538804e-145.61235887694019e-15
1720.9999999999999992.62161996720045e-151.31080998360023e-15
1730.9999999999999984.30625527631515e-152.15312763815757e-15
1740.9999999999999976.9387359235833e-153.46936796179165e-15
1750.9999999999999931.40701664028971e-147.03508320144857e-15
1760.999999999999992.0742228604288e-141.0371114302144e-14
1770.999999999999991.9249008498116e-149.624504249058e-15
1780.999999999999983.8491323854744e-141.9245661927372e-14
1790.999999999999967.96757219017758e-143.98378609508879e-14
1800.9999999999999843.16855180628086e-141.58427590314043e-14
1810.9999999999999666.69880310129521e-143.34940155064761e-14
1820.9999999999999331.33100479264973e-136.65502396324865e-14
1830.9999999999998662.67070811377431e-131.33535405688715e-13
1840.9999999999999291.42629162596887e-137.13145812984436e-14
1850.9999999999999862.77535733435716e-141.38767866717858e-14
1860.999999999999976.03835284353789e-143.01917642176895e-14
1870.9999999999999351.30830149928217e-136.54150749641085e-14
1880.999999999999862.78562421950443e-131.39281210975222e-13
1890.999999999999774.60679358006455e-132.30339679003227e-13
1900.9999999999995139.73696688109541e-134.86848344054771e-13
1910.9999999999992851.42946428061091e-127.14732140305456e-13
1920.9999999999999921.68499911587137e-148.42499557935686e-15
1930.9999999999999813.77471740548498e-141.88735870274249e-14
1940.9999999999999676.56246918145463e-143.28123459072732e-14
19511.7991898158395e-178.9959490791975e-18
19613.99723071860487e-171.99861535930243e-17
19711.39004630826802e-176.9502315413401e-18
19812.14560166834279e-171.0728008341714e-17
19915.48040564228256e-172.74020282114128e-17
20011.38062825636589e-166.90314128182943e-17
20112.43936378841626e-161.21968189420813e-16
20216.09833466194914e-163.04916733097457e-16
20313.90490221959506e-161.95245110979753e-16
20419.48347307169892e-164.74173653584946e-16
2050.9999999999999992.15531734778873e-151.07765867389436e-15
2060.9999999999999984.27126082209817e-152.13563041104909e-15
2070.9999999999999951.04139653875862e-145.20698269379312e-15
2080.9999999999999882.34285394719333e-141.17142697359667e-14
2090.9999999999999725.63873758730421e-142.8193687936521e-14
2100.9999999999999361.28569714082493e-136.42848570412467e-14
2110.9999999999998652.70655863502256e-131.35327931751128e-13
2120.9999999999997165.67062399253053e-132.83531199626526e-13
2130.9999999999993331.33454355988822e-126.67271779944111e-13
2140.9999999999984353.12980583875191e-121.56490291937596e-12
2150.9999999999970075.98589277599473e-122.99294638799737e-12
2160.999999999994141.17176655094242e-115.8588327547121e-12
2170.999999999991161.76802875176939e-118.84014375884693e-12
2180.9999999999805733.88546648271327e-111.94273324135663e-11
2190.9999999999992051.59018819846313e-127.95094099231563e-13
2200.9999999999980863.82779538168539e-121.91389769084269e-12
2210.99999999999715.79799841261873e-122.89899920630937e-12
2220.9999999999946461.07075894978696e-115.35379474893481e-12
2230.9999999999908751.82495418988077e-119.12477094940384e-12
2240.999999999983473.30606106687014e-111.65303053343507e-11
2250.999999999966036.79412699207994e-113.39706349603997e-11
2260.999999999938041.23920473761541e-106.19602368807705e-11
2270.9999999999168351.66330990302551e-108.31654951512755e-11
2280.9999999999998153.69986756376531e-131.84993378188265e-13
2290.9999999999995389.2402965649945e-134.62014828249725e-13
2300.999999999998862.2805969813238e-121.1402984906619e-12
2310.9999999999973545.29272349049186e-122.64636174524593e-12
2320.9999999999952369.52861981649025e-124.76430990824512e-12
2330.9999999999926351.47295498283297e-117.36477491416484e-12
2340.9999999999843663.12674175037073e-111.56337087518537e-11
2350.9999999999610127.79752656875467e-113.89876328437733e-11
2360.9999999999359691.28062607457992e-106.40313037289962e-11
2370.9999999998422023.15596510622895e-101.57798255311448e-10
2380.9999999999549939.00143382091109e-114.50071691045555e-11
2390.9999999999491251.01750194855407e-105.08750974277033e-11
2400.9999999998818132.36373353852314e-101.18186676926157e-10
2410.9999999997778244.44352292299183e-102.22176146149591e-10
2420.9999999995661998.67602986129234e-104.33801493064617e-10
2430.9999999990358761.92824811494039e-099.64124057470193e-10
2440.9999999974008025.19839585031053e-092.59919792515527e-09
2450.9999999956361228.72775688185321e-094.3638784409266e-09
2460.9999999963093427.38131505725197e-093.69065752862599e-09
2470.9999999951885769.62284859190535e-094.81142429595267e-09
2480.9999999899650262.00699476036266e-081.00349738018133e-08
2490.9999999932838661.34322682440739e-086.71613412203696e-09
2500.999999986559542.68809200911947e-081.34404600455974e-08
2510.9999999810112733.79774539020956e-081.89887269510478e-08
2520.9999999881619482.36761036851758e-081.18380518425879e-08
2530.9999999653038566.93922884958444e-083.46961442479222e-08
2540.999999913552791.7289441914702e-078.64472095735099e-08
2550.9999997870076194.25984762134191e-072.12992381067095e-07
2560.999999397215081.20556984157985e-066.02784920789927e-07
2570.999998832898072.33420386051977e-061.16710193025989e-06
2580.9999970021372075.99572558504922e-062.99786279252461e-06
2590.9999952057338989.58853220401871e-064.79426610200936e-06
2600.9999955831925718.83361485728802e-064.41680742864401e-06
2610.9999929723761271.40552477463384e-057.02762387316918e-06
2620.999979757644654.04847107021284e-052.02423553510642e-05
2630.9999634699478627.30601042769311e-053.65300521384656e-05
2640.9999134622902930.0001730754194148828.65377097074409e-05
2650.9998589020972760.0002821958054476780.000141097902723839
2660.9997030069768080.0005939860463833550.000296993023191678
2670.9993631657423530.001273668515293580.000636834257646788
2680.9985028738037070.00299425239258630.00149712619629315
2690.9987862952728780.00242740945424460.0012137047271223
2700.9986756356229940.002648728754012350.00132436437700617
2710.9975508790927670.00489824181446570.00244912090723285
2720.9952595527419410.009480894516117430.00474044725805872
2730.991550678327430.0168986433451420.008449321672571
2740.9782662991260370.04346740174792610.0217337008739631
2750.936640661533570.1267186769328590.0633593384664293

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
14 & 0.222139957221639 & 0.444279914443279 & 0.777860042778361 \tabularnewline
15 & 0.111284845937497 & 0.222569691874994 & 0.888715154062503 \tabularnewline
16 & 0.0553989956775616 & 0.110797991355123 & 0.944601004322438 \tabularnewline
17 & 0.0240495402110405 & 0.048099080422081 & 0.97595045978896 \tabularnewline
18 & 0.011373441322498 & 0.022746882644996 & 0.988626558677502 \tabularnewline
19 & 0.00440128050490952 & 0.00880256100981904 & 0.99559871949509 \tabularnewline
20 & 0.022509651501839 & 0.045019303003678 & 0.97749034849816 \tabularnewline
21 & 0.44793220447613 & 0.895864408952259 & 0.55206779552387 \tabularnewline
22 & 0.362376627667059 & 0.724753255334117 & 0.637623372332941 \tabularnewline
23 & 0.300093857601909 & 0.600187715203818 & 0.699906142398091 \tabularnewline
24 & 0.293833396580459 & 0.587666793160918 & 0.706166603419541 \tabularnewline
25 & 0.40575730337857 & 0.81151460675714 & 0.59424269662143 \tabularnewline
26 & 0.338208124625869 & 0.676416249251739 & 0.661791875374131 \tabularnewline
27 & 0.288707502371202 & 0.577415004742403 & 0.711292497628798 \tabularnewline
28 & 0.262111237299785 & 0.524222474599569 & 0.737888762700215 \tabularnewline
29 & 0.207043814608032 & 0.414087629216064 & 0.792956185391968 \tabularnewline
30 & 0.160891604486666 & 0.321783208973332 & 0.839108395513334 \tabularnewline
31 & 0.123776488796189 & 0.247552977592378 & 0.876223511203811 \tabularnewline
32 & 0.0927880429902135 & 0.185576085980427 & 0.907211957009787 \tabularnewline
33 & 0.17802220284787 & 0.35604440569574 & 0.82197779715213 \tabularnewline
34 & 0.177264736892194 & 0.354529473784388 & 0.822735263107806 \tabularnewline
35 & 0.18640747810914 & 0.37281495621828 & 0.81359252189086 \tabularnewline
36 & 0.454117532415594 & 0.908235064831188 & 0.545882467584406 \tabularnewline
37 & 0.400561057340964 & 0.801122114681928 & 0.599438942659036 \tabularnewline
38 & 0.35899860603545 & 0.717997212070901 & 0.64100139396455 \tabularnewline
39 & 0.344265037491953 & 0.688530074983906 & 0.655734962508047 \tabularnewline
40 & 0.339742744444074 & 0.679485488888148 & 0.660257255555926 \tabularnewline
41 & 0.297528040016422 & 0.595056080032844 & 0.702471959983578 \tabularnewline
42 & 0.252474037864307 & 0.504948075728613 & 0.747525962135693 \tabularnewline
43 & 0.224371808867944 & 0.448743617735888 & 0.775628191132056 \tabularnewline
44 & 0.188997750662449 & 0.377995501324897 & 0.811002249337551 \tabularnewline
45 & 0.209950910340723 & 0.419901820681445 & 0.790049089659277 \tabularnewline
46 & 0.175534394802001 & 0.351068789604002 & 0.824465605197999 \tabularnewline
47 & 0.161766548798893 & 0.323533097597785 & 0.838233451201107 \tabularnewline
48 & 0.197778219892879 & 0.395556439785757 & 0.802221780107121 \tabularnewline
49 & 0.168744888765247 & 0.337489777530495 & 0.831255111234753 \tabularnewline
50 & 0.21658236369753 & 0.43316472739506 & 0.78341763630247 \tabularnewline
51 & 0.231249717423981 & 0.462499434847962 & 0.768750282576019 \tabularnewline
52 & 0.195736823210196 & 0.391473646420392 & 0.804263176789804 \tabularnewline
53 & 0.26621163970342 & 0.532423279406839 & 0.73378836029658 \tabularnewline
54 & 0.256162718152837 & 0.512325436305673 & 0.743837281847163 \tabularnewline
55 & 0.223243175648013 & 0.446486351296025 & 0.776756824351987 \tabularnewline
56 & 0.189559553926175 & 0.379119107852351 & 0.810440446073825 \tabularnewline
57 & 0.160014508253543 & 0.320029016507087 & 0.839985491746457 \tabularnewline
58 & 0.143124330370047 & 0.286248660740094 & 0.856875669629953 \tabularnewline
59 & 0.119239713903266 & 0.238479427806533 & 0.880760286096734 \tabularnewline
60 & 0.0996256813808176 & 0.199251362761635 & 0.900374318619182 \tabularnewline
61 & 0.0808536712501448 & 0.16170734250029 & 0.919146328749855 \tabularnewline
62 & 0.0650728227740413 & 0.130145645548083 & 0.934927177225959 \tabularnewline
63 & 0.174826230654871 & 0.349652461309741 & 0.825173769345129 \tabularnewline
64 & 0.148251253246263 & 0.296502506492525 & 0.851748746753737 \tabularnewline
65 & 0.32587940273026 & 0.65175880546052 & 0.67412059726974 \tabularnewline
66 & 0.71607661731179 & 0.56784676537642 & 0.28392338268821 \tabularnewline
67 & 0.694413772514606 & 0.611172454970787 & 0.305586227485394 \tabularnewline
68 & 0.741715325455787 & 0.516569349088426 & 0.258284674544213 \tabularnewline
69 & 0.86284936869878 & 0.274301262602439 & 0.13715063130122 \tabularnewline
70 & 0.871790002724298 & 0.256419994551405 & 0.128209997275702 \tabularnewline
71 & 0.853411579997374 & 0.293176840005253 & 0.146588420002626 \tabularnewline
72 & 0.862151913451718 & 0.275696173096564 & 0.137848086548282 \tabularnewline
73 & 0.844336104815834 & 0.311327790368332 & 0.155663895184166 \tabularnewline
74 & 0.827944836022205 & 0.344110327955589 & 0.172055163977795 \tabularnewline
75 & 0.801571450654543 & 0.396857098690913 & 0.198428549345457 \tabularnewline
76 & 0.817425132156997 & 0.365149735686006 & 0.182574867843003 \tabularnewline
77 & 0.798106241002061 & 0.403787517995878 & 0.201893758997939 \tabularnewline
78 & 0.774808791114923 & 0.450382417770154 & 0.225191208885077 \tabularnewline
79 & 0.747724599520208 & 0.504550800959583 & 0.252275400479792 \tabularnewline
80 & 0.724786112693344 & 0.550427774613312 & 0.275213887306656 \tabularnewline
81 & 0.717886707924167 & 0.564226584151665 & 0.282113292075833 \tabularnewline
82 & 0.695354909417549 & 0.609290181164902 & 0.304645090582451 \tabularnewline
83 & 0.690474264180871 & 0.619051471638258 & 0.309525735819129 \tabularnewline
84 & 0.657566534348859 & 0.684866931302283 & 0.342433465651141 \tabularnewline
85 & 0.653900473059536 & 0.692199053880928 & 0.346099526940464 \tabularnewline
86 & 0.618158056803948 & 0.763683886392104 & 0.381841943196052 \tabularnewline
87 & 0.583689560420561 & 0.832620879158878 & 0.416310439579439 \tabularnewline
88 & 0.549430694311008 & 0.901138611377984 & 0.450569305688992 \tabularnewline
89 & 0.511507256011677 & 0.976985487976647 & 0.488492743988323 \tabularnewline
90 & 0.480714941580748 & 0.961429883161496 & 0.519285058419252 \tabularnewline
91 & 0.4509132800152 & 0.9018265600304 & 0.5490867199848 \tabularnewline
92 & 0.421197318159998 & 0.842394636319995 & 0.578802681840002 \tabularnewline
93 & 0.390263450853306 & 0.780526901706612 & 0.609736549146694 \tabularnewline
94 & 0.366765894706873 & 0.733531789413745 & 0.633234105293127 \tabularnewline
95 & 0.343720953901783 & 0.687441907803565 & 0.656279046098217 \tabularnewline
96 & 0.345914004721964 & 0.691828009443928 & 0.654085995278036 \tabularnewline
97 & 0.334103169876304 & 0.668206339752607 & 0.665896830123696 \tabularnewline
98 & 0.328650716005047 & 0.657301432010093 & 0.671349283994953 \tabularnewline
99 & 0.297353827715274 & 0.594707655430547 & 0.702646172284726 \tabularnewline
100 & 0.483760442874692 & 0.967520885749384 & 0.516239557125308 \tabularnewline
101 & 0.453172958030582 & 0.906345916061164 & 0.546827041969418 \tabularnewline
102 & 0.461910961667 & 0.923821923334 & 0.538089038333 \tabularnewline
103 & 0.429089115514889 & 0.858178231029778 & 0.570910884485111 \tabularnewline
104 & 0.451916079457713 & 0.903832158915426 & 0.548083920542287 \tabularnewline
105 & 0.425654031842915 & 0.85130806368583 & 0.574345968157085 \tabularnewline
106 & 0.470332483706743 & 0.940664967413486 & 0.529667516293257 \tabularnewline
107 & 0.628595429948332 & 0.742809140103337 & 0.371404570051668 \tabularnewline
108 & 0.628106541243209 & 0.743786917513583 & 0.371893458756791 \tabularnewline
109 & 0.616955142491175 & 0.76608971501765 & 0.383044857508825 \tabularnewline
110 & 0.589877759877794 & 0.820244480244411 & 0.410122240122206 \tabularnewline
111 & 0.63473647289279 & 0.730527054214418 & 0.365263527107209 \tabularnewline
112 & 0.617455027952459 & 0.765089944095083 & 0.382544972047541 \tabularnewline
113 & 0.592307365456676 & 0.815385269086647 & 0.407692634543324 \tabularnewline
114 & 0.562756352240938 & 0.874487295518125 & 0.437243647759062 \tabularnewline
115 & 0.638523968519618 & 0.722952062960763 & 0.361476031480382 \tabularnewline
116 & 0.613089781704654 & 0.773820436590691 & 0.386910218295346 \tabularnewline
117 & 0.590373631672214 & 0.819252736655571 & 0.409626368327786 \tabularnewline
118 & 0.62427232000976 & 0.75145535998048 & 0.37572767999024 \tabularnewline
119 & 0.592483164314386 & 0.815033671371228 & 0.407516835685614 \tabularnewline
120 & 0.56252172761277 & 0.874956544774461 & 0.43747827238723 \tabularnewline
121 & 0.529926970648879 & 0.940146058702242 & 0.470073029351121 \tabularnewline
122 & 0.498453297554888 & 0.996906595109777 & 0.501546702445112 \tabularnewline
123 & 0.47010519630503 & 0.94021039261006 & 0.52989480369497 \tabularnewline
124 & 0.442326033397331 & 0.884652066794662 & 0.557673966602669 \tabularnewline
125 & 0.40794760034888 & 0.815895200697759 & 0.59205239965112 \tabularnewline
126 & 0.376745037045898 & 0.753490074091797 & 0.623254962954102 \tabularnewline
127 & 0.344628721438983 & 0.689257442877966 & 0.655371278561017 \tabularnewline
128 & 0.317901027441188 & 0.635802054882376 & 0.682098972558812 \tabularnewline
129 & 0.298127551170836 & 0.596255102341672 & 0.701872448829164 \tabularnewline
130 & 0.269374839236739 & 0.538749678473479 & 0.73062516076326 \tabularnewline
131 & 0.241823219161372 & 0.483646438322743 & 0.758176780838628 \tabularnewline
132 & 0.225691241142525 & 0.45138248228505 & 0.774308758857475 \tabularnewline
133 & 0.230197713890715 & 0.460395427781429 & 0.769802286109285 \tabularnewline
134 & 0.208444019109395 & 0.416888038218789 & 0.791555980890605 \tabularnewline
135 & 0.999999999999906 & 1.88342147739415e-13 & 9.41710738697077e-14 \tabularnewline
136 & 0.999999999999958 & 8.40673044002023e-14 & 4.20336522001011e-14 \tabularnewline
137 & 0.999999999999918 & 1.64058786011901e-13 & 8.20293930059506e-14 \tabularnewline
138 & 0.999999999999906 & 1.88740323976688e-13 & 9.43701619883438e-14 \tabularnewline
139 & 0.999999999999826 & 3.4826537107532e-13 & 1.7413268553766e-13 \tabularnewline
140 & 0.999999999999678 & 6.43890161613538e-13 & 3.21945080806769e-13 \tabularnewline
141 & 0.999999999999418 & 1.16474419658983e-12 & 5.82372098294915e-13 \tabularnewline
142 & 0.999999999999452 & 1.09525234962603e-12 & 5.47626174813013e-13 \tabularnewline
143 & 0.999999999998969 & 2.06251899776348e-12 & 1.03125949888174e-12 \tabularnewline
144 & 0.999999999999143 & 1.71404911941232e-12 & 8.57024559706162e-13 \tabularnewline
145 & 0.999999999998613 & 2.77386739562007e-12 & 1.38693369781003e-12 \tabularnewline
146 & 0.999999999997708 & 4.58459770233444e-12 & 2.29229885116722e-12 \tabularnewline
147 & 0.999999999995737 & 8.52619112923994e-12 & 4.26309556461997e-12 \tabularnewline
148 & 0.999999999994199 & 1.16027309966714e-11 & 5.80136549833568e-12 \tabularnewline
149 & 0.999999999989337 & 2.13258736689941e-11 & 1.06629368344971e-11 \tabularnewline
150 & 0.99999999998155 & 3.68975558192804e-11 & 1.84487779096402e-11 \tabularnewline
151 & 0.999999999982533 & 3.4934537034258e-11 & 1.7467268517129e-11 \tabularnewline
152 & 0.999999999999856 & 2.87088281650836e-13 & 1.43544140825418e-13 \tabularnewline
153 & 0.99999999999972 & 5.59526443928611e-13 & 2.79763221964305e-13 \tabularnewline
154 & 0.999999999999982 & 3.565173420032e-14 & 1.782586710016e-14 \tabularnewline
155 & 0.999999999999977 & 4.61761292875772e-14 & 2.30880646437886e-14 \tabularnewline
156 & 0.99999999999997 & 6.07356945062361e-14 & 3.0367847253118e-14 \tabularnewline
157 & 0.999999999999948 & 1.04723542433622e-13 & 5.2361771216811e-14 \tabularnewline
158 & 0.99999999999992 & 1.58230692987036e-13 & 7.91153464935182e-14 \tabularnewline
159 & 0.99999999999987 & 2.5826376475955e-13 & 1.29131882379775e-13 \tabularnewline
160 & 0.999999999999869 & 2.62342576650527e-13 & 1.31171288325264e-13 \tabularnewline
161 & 0.999999999999806 & 3.87497804934007e-13 & 1.93748902467003e-13 \tabularnewline
162 & 0.999999999999677 & 6.4622428973452e-13 & 3.2311214486726e-13 \tabularnewline
163 & 0.999999999999917 & 1.65846139922383e-13 & 8.29230699611916e-14 \tabularnewline
164 & 0.99999999999991 & 1.80444701032841e-13 & 9.02223505164207e-14 \tabularnewline
165 & 0.999999999999838 & 3.24315150518606e-13 & 1.62157575259303e-13 \tabularnewline
166 & 0.999999999999834 & 3.31157806017242e-13 & 1.65578903008621e-13 \tabularnewline
167 & 0.999999999999818 & 3.63603494517584e-13 & 1.81801747258792e-13 \tabularnewline
168 & 0.999999999999996 & 8.70200364474718e-15 & 4.35100182237359e-15 \tabularnewline
169 & 0.999999999999991 & 1.72982629280685e-14 & 8.64913146403426e-15 \tabularnewline
170 & 0.999999999999997 & 5.62329222621296e-15 & 2.81164611310648e-15 \tabularnewline
171 & 0.999999999999994 & 1.12247177538804e-14 & 5.61235887694019e-15 \tabularnewline
172 & 0.999999999999999 & 2.62161996720045e-15 & 1.31080998360023e-15 \tabularnewline
173 & 0.999999999999998 & 4.30625527631515e-15 & 2.15312763815757e-15 \tabularnewline
174 & 0.999999999999997 & 6.9387359235833e-15 & 3.46936796179165e-15 \tabularnewline
175 & 0.999999999999993 & 1.40701664028971e-14 & 7.03508320144857e-15 \tabularnewline
176 & 0.99999999999999 & 2.0742228604288e-14 & 1.0371114302144e-14 \tabularnewline
177 & 0.99999999999999 & 1.9249008498116e-14 & 9.624504249058e-15 \tabularnewline
178 & 0.99999999999998 & 3.8491323854744e-14 & 1.9245661927372e-14 \tabularnewline
179 & 0.99999999999996 & 7.96757219017758e-14 & 3.98378609508879e-14 \tabularnewline
180 & 0.999999999999984 & 3.16855180628086e-14 & 1.58427590314043e-14 \tabularnewline
181 & 0.999999999999966 & 6.69880310129521e-14 & 3.34940155064761e-14 \tabularnewline
182 & 0.999999999999933 & 1.33100479264973e-13 & 6.65502396324865e-14 \tabularnewline
183 & 0.999999999999866 & 2.67070811377431e-13 & 1.33535405688715e-13 \tabularnewline
184 & 0.999999999999929 & 1.42629162596887e-13 & 7.13145812984436e-14 \tabularnewline
185 & 0.999999999999986 & 2.77535733435716e-14 & 1.38767866717858e-14 \tabularnewline
186 & 0.99999999999997 & 6.03835284353789e-14 & 3.01917642176895e-14 \tabularnewline
187 & 0.999999999999935 & 1.30830149928217e-13 & 6.54150749641085e-14 \tabularnewline
188 & 0.99999999999986 & 2.78562421950443e-13 & 1.39281210975222e-13 \tabularnewline
189 & 0.99999999999977 & 4.60679358006455e-13 & 2.30339679003227e-13 \tabularnewline
190 & 0.999999999999513 & 9.73696688109541e-13 & 4.86848344054771e-13 \tabularnewline
191 & 0.999999999999285 & 1.42946428061091e-12 & 7.14732140305456e-13 \tabularnewline
192 & 0.999999999999992 & 1.68499911587137e-14 & 8.42499557935686e-15 \tabularnewline
193 & 0.999999999999981 & 3.77471740548498e-14 & 1.88735870274249e-14 \tabularnewline
194 & 0.999999999999967 & 6.56246918145463e-14 & 3.28123459072732e-14 \tabularnewline
195 & 1 & 1.7991898158395e-17 & 8.9959490791975e-18 \tabularnewline
196 & 1 & 3.99723071860487e-17 & 1.99861535930243e-17 \tabularnewline
197 & 1 & 1.39004630826802e-17 & 6.9502315413401e-18 \tabularnewline
198 & 1 & 2.14560166834279e-17 & 1.0728008341714e-17 \tabularnewline
199 & 1 & 5.48040564228256e-17 & 2.74020282114128e-17 \tabularnewline
200 & 1 & 1.38062825636589e-16 & 6.90314128182943e-17 \tabularnewline
201 & 1 & 2.43936378841626e-16 & 1.21968189420813e-16 \tabularnewline
202 & 1 & 6.09833466194914e-16 & 3.04916733097457e-16 \tabularnewline
203 & 1 & 3.90490221959506e-16 & 1.95245110979753e-16 \tabularnewline
204 & 1 & 9.48347307169892e-16 & 4.74173653584946e-16 \tabularnewline
205 & 0.999999999999999 & 2.15531734778873e-15 & 1.07765867389436e-15 \tabularnewline
206 & 0.999999999999998 & 4.27126082209817e-15 & 2.13563041104909e-15 \tabularnewline
207 & 0.999999999999995 & 1.04139653875862e-14 & 5.20698269379312e-15 \tabularnewline
208 & 0.999999999999988 & 2.34285394719333e-14 & 1.17142697359667e-14 \tabularnewline
209 & 0.999999999999972 & 5.63873758730421e-14 & 2.8193687936521e-14 \tabularnewline
210 & 0.999999999999936 & 1.28569714082493e-13 & 6.42848570412467e-14 \tabularnewline
211 & 0.999999999999865 & 2.70655863502256e-13 & 1.35327931751128e-13 \tabularnewline
212 & 0.999999999999716 & 5.67062399253053e-13 & 2.83531199626526e-13 \tabularnewline
213 & 0.999999999999333 & 1.33454355988822e-12 & 6.67271779944111e-13 \tabularnewline
214 & 0.999999999998435 & 3.12980583875191e-12 & 1.56490291937596e-12 \tabularnewline
215 & 0.999999999997007 & 5.98589277599473e-12 & 2.99294638799737e-12 \tabularnewline
216 & 0.99999999999414 & 1.17176655094242e-11 & 5.8588327547121e-12 \tabularnewline
217 & 0.99999999999116 & 1.76802875176939e-11 & 8.84014375884693e-12 \tabularnewline
218 & 0.999999999980573 & 3.88546648271327e-11 & 1.94273324135663e-11 \tabularnewline
219 & 0.999999999999205 & 1.59018819846313e-12 & 7.95094099231563e-13 \tabularnewline
220 & 0.999999999998086 & 3.82779538168539e-12 & 1.91389769084269e-12 \tabularnewline
221 & 0.9999999999971 & 5.79799841261873e-12 & 2.89899920630937e-12 \tabularnewline
222 & 0.999999999994646 & 1.07075894978696e-11 & 5.35379474893481e-12 \tabularnewline
223 & 0.999999999990875 & 1.82495418988077e-11 & 9.12477094940384e-12 \tabularnewline
224 & 0.99999999998347 & 3.30606106687014e-11 & 1.65303053343507e-11 \tabularnewline
225 & 0.99999999996603 & 6.79412699207994e-11 & 3.39706349603997e-11 \tabularnewline
226 & 0.99999999993804 & 1.23920473761541e-10 & 6.19602368807705e-11 \tabularnewline
227 & 0.999999999916835 & 1.66330990302551e-10 & 8.31654951512755e-11 \tabularnewline
228 & 0.999999999999815 & 3.69986756376531e-13 & 1.84993378188265e-13 \tabularnewline
229 & 0.999999999999538 & 9.2402965649945e-13 & 4.62014828249725e-13 \tabularnewline
230 & 0.99999999999886 & 2.2805969813238e-12 & 1.1402984906619e-12 \tabularnewline
231 & 0.999999999997354 & 5.29272349049186e-12 & 2.64636174524593e-12 \tabularnewline
232 & 0.999999999995236 & 9.52861981649025e-12 & 4.76430990824512e-12 \tabularnewline
233 & 0.999999999992635 & 1.47295498283297e-11 & 7.36477491416484e-12 \tabularnewline
234 & 0.999999999984366 & 3.12674175037073e-11 & 1.56337087518537e-11 \tabularnewline
235 & 0.999999999961012 & 7.79752656875467e-11 & 3.89876328437733e-11 \tabularnewline
236 & 0.999999999935969 & 1.28062607457992e-10 & 6.40313037289962e-11 \tabularnewline
237 & 0.999999999842202 & 3.15596510622895e-10 & 1.57798255311448e-10 \tabularnewline
238 & 0.999999999954993 & 9.00143382091109e-11 & 4.50071691045555e-11 \tabularnewline
239 & 0.999999999949125 & 1.01750194855407e-10 & 5.08750974277033e-11 \tabularnewline
240 & 0.999999999881813 & 2.36373353852314e-10 & 1.18186676926157e-10 \tabularnewline
241 & 0.999999999777824 & 4.44352292299183e-10 & 2.22176146149591e-10 \tabularnewline
242 & 0.999999999566199 & 8.67602986129234e-10 & 4.33801493064617e-10 \tabularnewline
243 & 0.999999999035876 & 1.92824811494039e-09 & 9.64124057470193e-10 \tabularnewline
244 & 0.999999997400802 & 5.19839585031053e-09 & 2.59919792515527e-09 \tabularnewline
245 & 0.999999995636122 & 8.72775688185321e-09 & 4.3638784409266e-09 \tabularnewline
246 & 0.999999996309342 & 7.38131505725197e-09 & 3.69065752862599e-09 \tabularnewline
247 & 0.999999995188576 & 9.62284859190535e-09 & 4.81142429595267e-09 \tabularnewline
248 & 0.999999989965026 & 2.00699476036266e-08 & 1.00349738018133e-08 \tabularnewline
249 & 0.999999993283866 & 1.34322682440739e-08 & 6.71613412203696e-09 \tabularnewline
250 & 0.99999998655954 & 2.68809200911947e-08 & 1.34404600455974e-08 \tabularnewline
251 & 0.999999981011273 & 3.79774539020956e-08 & 1.89887269510478e-08 \tabularnewline
252 & 0.999999988161948 & 2.36761036851758e-08 & 1.18380518425879e-08 \tabularnewline
253 & 0.999999965303856 & 6.93922884958444e-08 & 3.46961442479222e-08 \tabularnewline
254 & 0.99999991355279 & 1.7289441914702e-07 & 8.64472095735099e-08 \tabularnewline
255 & 0.999999787007619 & 4.25984762134191e-07 & 2.12992381067095e-07 \tabularnewline
256 & 0.99999939721508 & 1.20556984157985e-06 & 6.02784920789927e-07 \tabularnewline
257 & 0.99999883289807 & 2.33420386051977e-06 & 1.16710193025989e-06 \tabularnewline
258 & 0.999997002137207 & 5.99572558504922e-06 & 2.99786279252461e-06 \tabularnewline
259 & 0.999995205733898 & 9.58853220401871e-06 & 4.79426610200936e-06 \tabularnewline
260 & 0.999995583192571 & 8.83361485728802e-06 & 4.41680742864401e-06 \tabularnewline
261 & 0.999992972376127 & 1.40552477463384e-05 & 7.02762387316918e-06 \tabularnewline
262 & 0.99997975764465 & 4.04847107021284e-05 & 2.02423553510642e-05 \tabularnewline
263 & 0.999963469947862 & 7.30601042769311e-05 & 3.65300521384656e-05 \tabularnewline
264 & 0.999913462290293 & 0.000173075419414882 & 8.65377097074409e-05 \tabularnewline
265 & 0.999858902097276 & 0.000282195805447678 & 0.000141097902723839 \tabularnewline
266 & 0.999703006976808 & 0.000593986046383355 & 0.000296993023191678 \tabularnewline
267 & 0.999363165742353 & 0.00127366851529358 & 0.000636834257646788 \tabularnewline
268 & 0.998502873803707 & 0.0029942523925863 & 0.00149712619629315 \tabularnewline
269 & 0.998786295272878 & 0.0024274094542446 & 0.0012137047271223 \tabularnewline
270 & 0.998675635622994 & 0.00264872875401235 & 0.00132436437700617 \tabularnewline
271 & 0.997550879092767 & 0.0048982418144657 & 0.00244912090723285 \tabularnewline
272 & 0.995259552741941 & 0.00948089451611743 & 0.00474044725805872 \tabularnewline
273 & 0.99155067832743 & 0.016898643345142 & 0.008449321672571 \tabularnewline
274 & 0.978266299126037 & 0.0434674017479261 & 0.0217337008739631 \tabularnewline
275 & 0.93664066153357 & 0.126718676932859 & 0.0633593384664293 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154299&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]14[/C][C]0.222139957221639[/C][C]0.444279914443279[/C][C]0.777860042778361[/C][/ROW]
[ROW][C]15[/C][C]0.111284845937497[/C][C]0.222569691874994[/C][C]0.888715154062503[/C][/ROW]
[ROW][C]16[/C][C]0.0553989956775616[/C][C]0.110797991355123[/C][C]0.944601004322438[/C][/ROW]
[ROW][C]17[/C][C]0.0240495402110405[/C][C]0.048099080422081[/C][C]0.97595045978896[/C][/ROW]
[ROW][C]18[/C][C]0.011373441322498[/C][C]0.022746882644996[/C][C]0.988626558677502[/C][/ROW]
[ROW][C]19[/C][C]0.00440128050490952[/C][C]0.00880256100981904[/C][C]0.99559871949509[/C][/ROW]
[ROW][C]20[/C][C]0.022509651501839[/C][C]0.045019303003678[/C][C]0.97749034849816[/C][/ROW]
[ROW][C]21[/C][C]0.44793220447613[/C][C]0.895864408952259[/C][C]0.55206779552387[/C][/ROW]
[ROW][C]22[/C][C]0.362376627667059[/C][C]0.724753255334117[/C][C]0.637623372332941[/C][/ROW]
[ROW][C]23[/C][C]0.300093857601909[/C][C]0.600187715203818[/C][C]0.699906142398091[/C][/ROW]
[ROW][C]24[/C][C]0.293833396580459[/C][C]0.587666793160918[/C][C]0.706166603419541[/C][/ROW]
[ROW][C]25[/C][C]0.40575730337857[/C][C]0.81151460675714[/C][C]0.59424269662143[/C][/ROW]
[ROW][C]26[/C][C]0.338208124625869[/C][C]0.676416249251739[/C][C]0.661791875374131[/C][/ROW]
[ROW][C]27[/C][C]0.288707502371202[/C][C]0.577415004742403[/C][C]0.711292497628798[/C][/ROW]
[ROW][C]28[/C][C]0.262111237299785[/C][C]0.524222474599569[/C][C]0.737888762700215[/C][/ROW]
[ROW][C]29[/C][C]0.207043814608032[/C][C]0.414087629216064[/C][C]0.792956185391968[/C][/ROW]
[ROW][C]30[/C][C]0.160891604486666[/C][C]0.321783208973332[/C][C]0.839108395513334[/C][/ROW]
[ROW][C]31[/C][C]0.123776488796189[/C][C]0.247552977592378[/C][C]0.876223511203811[/C][/ROW]
[ROW][C]32[/C][C]0.0927880429902135[/C][C]0.185576085980427[/C][C]0.907211957009787[/C][/ROW]
[ROW][C]33[/C][C]0.17802220284787[/C][C]0.35604440569574[/C][C]0.82197779715213[/C][/ROW]
[ROW][C]34[/C][C]0.177264736892194[/C][C]0.354529473784388[/C][C]0.822735263107806[/C][/ROW]
[ROW][C]35[/C][C]0.18640747810914[/C][C]0.37281495621828[/C][C]0.81359252189086[/C][/ROW]
[ROW][C]36[/C][C]0.454117532415594[/C][C]0.908235064831188[/C][C]0.545882467584406[/C][/ROW]
[ROW][C]37[/C][C]0.400561057340964[/C][C]0.801122114681928[/C][C]0.599438942659036[/C][/ROW]
[ROW][C]38[/C][C]0.35899860603545[/C][C]0.717997212070901[/C][C]0.64100139396455[/C][/ROW]
[ROW][C]39[/C][C]0.344265037491953[/C][C]0.688530074983906[/C][C]0.655734962508047[/C][/ROW]
[ROW][C]40[/C][C]0.339742744444074[/C][C]0.679485488888148[/C][C]0.660257255555926[/C][/ROW]
[ROW][C]41[/C][C]0.297528040016422[/C][C]0.595056080032844[/C][C]0.702471959983578[/C][/ROW]
[ROW][C]42[/C][C]0.252474037864307[/C][C]0.504948075728613[/C][C]0.747525962135693[/C][/ROW]
[ROW][C]43[/C][C]0.224371808867944[/C][C]0.448743617735888[/C][C]0.775628191132056[/C][/ROW]
[ROW][C]44[/C][C]0.188997750662449[/C][C]0.377995501324897[/C][C]0.811002249337551[/C][/ROW]
[ROW][C]45[/C][C]0.209950910340723[/C][C]0.419901820681445[/C][C]0.790049089659277[/C][/ROW]
[ROW][C]46[/C][C]0.175534394802001[/C][C]0.351068789604002[/C][C]0.824465605197999[/C][/ROW]
[ROW][C]47[/C][C]0.161766548798893[/C][C]0.323533097597785[/C][C]0.838233451201107[/C][/ROW]
[ROW][C]48[/C][C]0.197778219892879[/C][C]0.395556439785757[/C][C]0.802221780107121[/C][/ROW]
[ROW][C]49[/C][C]0.168744888765247[/C][C]0.337489777530495[/C][C]0.831255111234753[/C][/ROW]
[ROW][C]50[/C][C]0.21658236369753[/C][C]0.43316472739506[/C][C]0.78341763630247[/C][/ROW]
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[ROW][C]118[/C][C]0.62427232000976[/C][C]0.75145535998048[/C][C]0.37572767999024[/C][/ROW]
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[ROW][C]121[/C][C]0.529926970648879[/C][C]0.940146058702242[/C][C]0.470073029351121[/C][/ROW]
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[ROW][C]126[/C][C]0.376745037045898[/C][C]0.753490074091797[/C][C]0.623254962954102[/C][/ROW]
[ROW][C]127[/C][C]0.344628721438983[/C][C]0.689257442877966[/C][C]0.655371278561017[/C][/ROW]
[ROW][C]128[/C][C]0.317901027441188[/C][C]0.635802054882376[/C][C]0.682098972558812[/C][/ROW]
[ROW][C]129[/C][C]0.298127551170836[/C][C]0.596255102341672[/C][C]0.701872448829164[/C][/ROW]
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[ROW][C]131[/C][C]0.241823219161372[/C][C]0.483646438322743[/C][C]0.758176780838628[/C][/ROW]
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[ROW][C]135[/C][C]0.999999999999906[/C][C]1.88342147739415e-13[/C][C]9.41710738697077e-14[/C][/ROW]
[ROW][C]136[/C][C]0.999999999999958[/C][C]8.40673044002023e-14[/C][C]4.20336522001011e-14[/C][/ROW]
[ROW][C]137[/C][C]0.999999999999918[/C][C]1.64058786011901e-13[/C][C]8.20293930059506e-14[/C][/ROW]
[ROW][C]138[/C][C]0.999999999999906[/C][C]1.88740323976688e-13[/C][C]9.43701619883438e-14[/C][/ROW]
[ROW][C]139[/C][C]0.999999999999826[/C][C]3.4826537107532e-13[/C][C]1.7413268553766e-13[/C][/ROW]
[ROW][C]140[/C][C]0.999999999999678[/C][C]6.43890161613538e-13[/C][C]3.21945080806769e-13[/C][/ROW]
[ROW][C]141[/C][C]0.999999999999418[/C][C]1.16474419658983e-12[/C][C]5.82372098294915e-13[/C][/ROW]
[ROW][C]142[/C][C]0.999999999999452[/C][C]1.09525234962603e-12[/C][C]5.47626174813013e-13[/C][/ROW]
[ROW][C]143[/C][C]0.999999999998969[/C][C]2.06251899776348e-12[/C][C]1.03125949888174e-12[/C][/ROW]
[ROW][C]144[/C][C]0.999999999999143[/C][C]1.71404911941232e-12[/C][C]8.57024559706162e-13[/C][/ROW]
[ROW][C]145[/C][C]0.999999999998613[/C][C]2.77386739562007e-12[/C][C]1.38693369781003e-12[/C][/ROW]
[ROW][C]146[/C][C]0.999999999997708[/C][C]4.58459770233444e-12[/C][C]2.29229885116722e-12[/C][/ROW]
[ROW][C]147[/C][C]0.999999999995737[/C][C]8.52619112923994e-12[/C][C]4.26309556461997e-12[/C][/ROW]
[ROW][C]148[/C][C]0.999999999994199[/C][C]1.16027309966714e-11[/C][C]5.80136549833568e-12[/C][/ROW]
[ROW][C]149[/C][C]0.999999999989337[/C][C]2.13258736689941e-11[/C][C]1.06629368344971e-11[/C][/ROW]
[ROW][C]150[/C][C]0.99999999998155[/C][C]3.68975558192804e-11[/C][C]1.84487779096402e-11[/C][/ROW]
[ROW][C]151[/C][C]0.999999999982533[/C][C]3.4934537034258e-11[/C][C]1.7467268517129e-11[/C][/ROW]
[ROW][C]152[/C][C]0.999999999999856[/C][C]2.87088281650836e-13[/C][C]1.43544140825418e-13[/C][/ROW]
[ROW][C]153[/C][C]0.99999999999972[/C][C]5.59526443928611e-13[/C][C]2.79763221964305e-13[/C][/ROW]
[ROW][C]154[/C][C]0.999999999999982[/C][C]3.565173420032e-14[/C][C]1.782586710016e-14[/C][/ROW]
[ROW][C]155[/C][C]0.999999999999977[/C][C]4.61761292875772e-14[/C][C]2.30880646437886e-14[/C][/ROW]
[ROW][C]156[/C][C]0.99999999999997[/C][C]6.07356945062361e-14[/C][C]3.0367847253118e-14[/C][/ROW]
[ROW][C]157[/C][C]0.999999999999948[/C][C]1.04723542433622e-13[/C][C]5.2361771216811e-14[/C][/ROW]
[ROW][C]158[/C][C]0.99999999999992[/C][C]1.58230692987036e-13[/C][C]7.91153464935182e-14[/C][/ROW]
[ROW][C]159[/C][C]0.99999999999987[/C][C]2.5826376475955e-13[/C][C]1.29131882379775e-13[/C][/ROW]
[ROW][C]160[/C][C]0.999999999999869[/C][C]2.62342576650527e-13[/C][C]1.31171288325264e-13[/C][/ROW]
[ROW][C]161[/C][C]0.999999999999806[/C][C]3.87497804934007e-13[/C][C]1.93748902467003e-13[/C][/ROW]
[ROW][C]162[/C][C]0.999999999999677[/C][C]6.4622428973452e-13[/C][C]3.2311214486726e-13[/C][/ROW]
[ROW][C]163[/C][C]0.999999999999917[/C][C]1.65846139922383e-13[/C][C]8.29230699611916e-14[/C][/ROW]
[ROW][C]164[/C][C]0.99999999999991[/C][C]1.80444701032841e-13[/C][C]9.02223505164207e-14[/C][/ROW]
[ROW][C]165[/C][C]0.999999999999838[/C][C]3.24315150518606e-13[/C][C]1.62157575259303e-13[/C][/ROW]
[ROW][C]166[/C][C]0.999999999999834[/C][C]3.31157806017242e-13[/C][C]1.65578903008621e-13[/C][/ROW]
[ROW][C]167[/C][C]0.999999999999818[/C][C]3.63603494517584e-13[/C][C]1.81801747258792e-13[/C][/ROW]
[ROW][C]168[/C][C]0.999999999999996[/C][C]8.70200364474718e-15[/C][C]4.35100182237359e-15[/C][/ROW]
[ROW][C]169[/C][C]0.999999999999991[/C][C]1.72982629280685e-14[/C][C]8.64913146403426e-15[/C][/ROW]
[ROW][C]170[/C][C]0.999999999999997[/C][C]5.62329222621296e-15[/C][C]2.81164611310648e-15[/C][/ROW]
[ROW][C]171[/C][C]0.999999999999994[/C][C]1.12247177538804e-14[/C][C]5.61235887694019e-15[/C][/ROW]
[ROW][C]172[/C][C]0.999999999999999[/C][C]2.62161996720045e-15[/C][C]1.31080998360023e-15[/C][/ROW]
[ROW][C]173[/C][C]0.999999999999998[/C][C]4.30625527631515e-15[/C][C]2.15312763815757e-15[/C][/ROW]
[ROW][C]174[/C][C]0.999999999999997[/C][C]6.9387359235833e-15[/C][C]3.46936796179165e-15[/C][/ROW]
[ROW][C]175[/C][C]0.999999999999993[/C][C]1.40701664028971e-14[/C][C]7.03508320144857e-15[/C][/ROW]
[ROW][C]176[/C][C]0.99999999999999[/C][C]2.0742228604288e-14[/C][C]1.0371114302144e-14[/C][/ROW]
[ROW][C]177[/C][C]0.99999999999999[/C][C]1.9249008498116e-14[/C][C]9.624504249058e-15[/C][/ROW]
[ROW][C]178[/C][C]0.99999999999998[/C][C]3.8491323854744e-14[/C][C]1.9245661927372e-14[/C][/ROW]
[ROW][C]179[/C][C]0.99999999999996[/C][C]7.96757219017758e-14[/C][C]3.98378609508879e-14[/C][/ROW]
[ROW][C]180[/C][C]0.999999999999984[/C][C]3.16855180628086e-14[/C][C]1.58427590314043e-14[/C][/ROW]
[ROW][C]181[/C][C]0.999999999999966[/C][C]6.69880310129521e-14[/C][C]3.34940155064761e-14[/C][/ROW]
[ROW][C]182[/C][C]0.999999999999933[/C][C]1.33100479264973e-13[/C][C]6.65502396324865e-14[/C][/ROW]
[ROW][C]183[/C][C]0.999999999999866[/C][C]2.67070811377431e-13[/C][C]1.33535405688715e-13[/C][/ROW]
[ROW][C]184[/C][C]0.999999999999929[/C][C]1.42629162596887e-13[/C][C]7.13145812984436e-14[/C][/ROW]
[ROW][C]185[/C][C]0.999999999999986[/C][C]2.77535733435716e-14[/C][C]1.38767866717858e-14[/C][/ROW]
[ROW][C]186[/C][C]0.99999999999997[/C][C]6.03835284353789e-14[/C][C]3.01917642176895e-14[/C][/ROW]
[ROW][C]187[/C][C]0.999999999999935[/C][C]1.30830149928217e-13[/C][C]6.54150749641085e-14[/C][/ROW]
[ROW][C]188[/C][C]0.99999999999986[/C][C]2.78562421950443e-13[/C][C]1.39281210975222e-13[/C][/ROW]
[ROW][C]189[/C][C]0.99999999999977[/C][C]4.60679358006455e-13[/C][C]2.30339679003227e-13[/C][/ROW]
[ROW][C]190[/C][C]0.999999999999513[/C][C]9.73696688109541e-13[/C][C]4.86848344054771e-13[/C][/ROW]
[ROW][C]191[/C][C]0.999999999999285[/C][C]1.42946428061091e-12[/C][C]7.14732140305456e-13[/C][/ROW]
[ROW][C]192[/C][C]0.999999999999992[/C][C]1.68499911587137e-14[/C][C]8.42499557935686e-15[/C][/ROW]
[ROW][C]193[/C][C]0.999999999999981[/C][C]3.77471740548498e-14[/C][C]1.88735870274249e-14[/C][/ROW]
[ROW][C]194[/C][C]0.999999999999967[/C][C]6.56246918145463e-14[/C][C]3.28123459072732e-14[/C][/ROW]
[ROW][C]195[/C][C]1[/C][C]1.7991898158395e-17[/C][C]8.9959490791975e-18[/C][/ROW]
[ROW][C]196[/C][C]1[/C][C]3.99723071860487e-17[/C][C]1.99861535930243e-17[/C][/ROW]
[ROW][C]197[/C][C]1[/C][C]1.39004630826802e-17[/C][C]6.9502315413401e-18[/C][/ROW]
[ROW][C]198[/C][C]1[/C][C]2.14560166834279e-17[/C][C]1.0728008341714e-17[/C][/ROW]
[ROW][C]199[/C][C]1[/C][C]5.48040564228256e-17[/C][C]2.74020282114128e-17[/C][/ROW]
[ROW][C]200[/C][C]1[/C][C]1.38062825636589e-16[/C][C]6.90314128182943e-17[/C][/ROW]
[ROW][C]201[/C][C]1[/C][C]2.43936378841626e-16[/C][C]1.21968189420813e-16[/C][/ROW]
[ROW][C]202[/C][C]1[/C][C]6.09833466194914e-16[/C][C]3.04916733097457e-16[/C][/ROW]
[ROW][C]203[/C][C]1[/C][C]3.90490221959506e-16[/C][C]1.95245110979753e-16[/C][/ROW]
[ROW][C]204[/C][C]1[/C][C]9.48347307169892e-16[/C][C]4.74173653584946e-16[/C][/ROW]
[ROW][C]205[/C][C]0.999999999999999[/C][C]2.15531734778873e-15[/C][C]1.07765867389436e-15[/C][/ROW]
[ROW][C]206[/C][C]0.999999999999998[/C][C]4.27126082209817e-15[/C][C]2.13563041104909e-15[/C][/ROW]
[ROW][C]207[/C][C]0.999999999999995[/C][C]1.04139653875862e-14[/C][C]5.20698269379312e-15[/C][/ROW]
[ROW][C]208[/C][C]0.999999999999988[/C][C]2.34285394719333e-14[/C][C]1.17142697359667e-14[/C][/ROW]
[ROW][C]209[/C][C]0.999999999999972[/C][C]5.63873758730421e-14[/C][C]2.8193687936521e-14[/C][/ROW]
[ROW][C]210[/C][C]0.999999999999936[/C][C]1.28569714082493e-13[/C][C]6.42848570412467e-14[/C][/ROW]
[ROW][C]211[/C][C]0.999999999999865[/C][C]2.70655863502256e-13[/C][C]1.35327931751128e-13[/C][/ROW]
[ROW][C]212[/C][C]0.999999999999716[/C][C]5.67062399253053e-13[/C][C]2.83531199626526e-13[/C][/ROW]
[ROW][C]213[/C][C]0.999999999999333[/C][C]1.33454355988822e-12[/C][C]6.67271779944111e-13[/C][/ROW]
[ROW][C]214[/C][C]0.999999999998435[/C][C]3.12980583875191e-12[/C][C]1.56490291937596e-12[/C][/ROW]
[ROW][C]215[/C][C]0.999999999997007[/C][C]5.98589277599473e-12[/C][C]2.99294638799737e-12[/C][/ROW]
[ROW][C]216[/C][C]0.99999999999414[/C][C]1.17176655094242e-11[/C][C]5.8588327547121e-12[/C][/ROW]
[ROW][C]217[/C][C]0.99999999999116[/C][C]1.76802875176939e-11[/C][C]8.84014375884693e-12[/C][/ROW]
[ROW][C]218[/C][C]0.999999999980573[/C][C]3.88546648271327e-11[/C][C]1.94273324135663e-11[/C][/ROW]
[ROW][C]219[/C][C]0.999999999999205[/C][C]1.59018819846313e-12[/C][C]7.95094099231563e-13[/C][/ROW]
[ROW][C]220[/C][C]0.999999999998086[/C][C]3.82779538168539e-12[/C][C]1.91389769084269e-12[/C][/ROW]
[ROW][C]221[/C][C]0.9999999999971[/C][C]5.79799841261873e-12[/C][C]2.89899920630937e-12[/C][/ROW]
[ROW][C]222[/C][C]0.999999999994646[/C][C]1.07075894978696e-11[/C][C]5.35379474893481e-12[/C][/ROW]
[ROW][C]223[/C][C]0.999999999990875[/C][C]1.82495418988077e-11[/C][C]9.12477094940384e-12[/C][/ROW]
[ROW][C]224[/C][C]0.99999999998347[/C][C]3.30606106687014e-11[/C][C]1.65303053343507e-11[/C][/ROW]
[ROW][C]225[/C][C]0.99999999996603[/C][C]6.79412699207994e-11[/C][C]3.39706349603997e-11[/C][/ROW]
[ROW][C]226[/C][C]0.99999999993804[/C][C]1.23920473761541e-10[/C][C]6.19602368807705e-11[/C][/ROW]
[ROW][C]227[/C][C]0.999999999916835[/C][C]1.66330990302551e-10[/C][C]8.31654951512755e-11[/C][/ROW]
[ROW][C]228[/C][C]0.999999999999815[/C][C]3.69986756376531e-13[/C][C]1.84993378188265e-13[/C][/ROW]
[ROW][C]229[/C][C]0.999999999999538[/C][C]9.2402965649945e-13[/C][C]4.62014828249725e-13[/C][/ROW]
[ROW][C]230[/C][C]0.99999999999886[/C][C]2.2805969813238e-12[/C][C]1.1402984906619e-12[/C][/ROW]
[ROW][C]231[/C][C]0.999999999997354[/C][C]5.29272349049186e-12[/C][C]2.64636174524593e-12[/C][/ROW]
[ROW][C]232[/C][C]0.999999999995236[/C][C]9.52861981649025e-12[/C][C]4.76430990824512e-12[/C][/ROW]
[ROW][C]233[/C][C]0.999999999992635[/C][C]1.47295498283297e-11[/C][C]7.36477491416484e-12[/C][/ROW]
[ROW][C]234[/C][C]0.999999999984366[/C][C]3.12674175037073e-11[/C][C]1.56337087518537e-11[/C][/ROW]
[ROW][C]235[/C][C]0.999999999961012[/C][C]7.79752656875467e-11[/C][C]3.89876328437733e-11[/C][/ROW]
[ROW][C]236[/C][C]0.999999999935969[/C][C]1.28062607457992e-10[/C][C]6.40313037289962e-11[/C][/ROW]
[ROW][C]237[/C][C]0.999999999842202[/C][C]3.15596510622895e-10[/C][C]1.57798255311448e-10[/C][/ROW]
[ROW][C]238[/C][C]0.999999999954993[/C][C]9.00143382091109e-11[/C][C]4.50071691045555e-11[/C][/ROW]
[ROW][C]239[/C][C]0.999999999949125[/C][C]1.01750194855407e-10[/C][C]5.08750974277033e-11[/C][/ROW]
[ROW][C]240[/C][C]0.999999999881813[/C][C]2.36373353852314e-10[/C][C]1.18186676926157e-10[/C][/ROW]
[ROW][C]241[/C][C]0.999999999777824[/C][C]4.44352292299183e-10[/C][C]2.22176146149591e-10[/C][/ROW]
[ROW][C]242[/C][C]0.999999999566199[/C][C]8.67602986129234e-10[/C][C]4.33801493064617e-10[/C][/ROW]
[ROW][C]243[/C][C]0.999999999035876[/C][C]1.92824811494039e-09[/C][C]9.64124057470193e-10[/C][/ROW]
[ROW][C]244[/C][C]0.999999997400802[/C][C]5.19839585031053e-09[/C][C]2.59919792515527e-09[/C][/ROW]
[ROW][C]245[/C][C]0.999999995636122[/C][C]8.72775688185321e-09[/C][C]4.3638784409266e-09[/C][/ROW]
[ROW][C]246[/C][C]0.999999996309342[/C][C]7.38131505725197e-09[/C][C]3.69065752862599e-09[/C][/ROW]
[ROW][C]247[/C][C]0.999999995188576[/C][C]9.62284859190535e-09[/C][C]4.81142429595267e-09[/C][/ROW]
[ROW][C]248[/C][C]0.999999989965026[/C][C]2.00699476036266e-08[/C][C]1.00349738018133e-08[/C][/ROW]
[ROW][C]249[/C][C]0.999999993283866[/C][C]1.34322682440739e-08[/C][C]6.71613412203696e-09[/C][/ROW]
[ROW][C]250[/C][C]0.99999998655954[/C][C]2.68809200911947e-08[/C][C]1.34404600455974e-08[/C][/ROW]
[ROW][C]251[/C][C]0.999999981011273[/C][C]3.79774539020956e-08[/C][C]1.89887269510478e-08[/C][/ROW]
[ROW][C]252[/C][C]0.999999988161948[/C][C]2.36761036851758e-08[/C][C]1.18380518425879e-08[/C][/ROW]
[ROW][C]253[/C][C]0.999999965303856[/C][C]6.93922884958444e-08[/C][C]3.46961442479222e-08[/C][/ROW]
[ROW][C]254[/C][C]0.99999991355279[/C][C]1.7289441914702e-07[/C][C]8.64472095735099e-08[/C][/ROW]
[ROW][C]255[/C][C]0.999999787007619[/C][C]4.25984762134191e-07[/C][C]2.12992381067095e-07[/C][/ROW]
[ROW][C]256[/C][C]0.99999939721508[/C][C]1.20556984157985e-06[/C][C]6.02784920789927e-07[/C][/ROW]
[ROW][C]257[/C][C]0.99999883289807[/C][C]2.33420386051977e-06[/C][C]1.16710193025989e-06[/C][/ROW]
[ROW][C]258[/C][C]0.999997002137207[/C][C]5.99572558504922e-06[/C][C]2.99786279252461e-06[/C][/ROW]
[ROW][C]259[/C][C]0.999995205733898[/C][C]9.58853220401871e-06[/C][C]4.79426610200936e-06[/C][/ROW]
[ROW][C]260[/C][C]0.999995583192571[/C][C]8.83361485728802e-06[/C][C]4.41680742864401e-06[/C][/ROW]
[ROW][C]261[/C][C]0.999992972376127[/C][C]1.40552477463384e-05[/C][C]7.02762387316918e-06[/C][/ROW]
[ROW][C]262[/C][C]0.99997975764465[/C][C]4.04847107021284e-05[/C][C]2.02423553510642e-05[/C][/ROW]
[ROW][C]263[/C][C]0.999963469947862[/C][C]7.30601042769311e-05[/C][C]3.65300521384656e-05[/C][/ROW]
[ROW][C]264[/C][C]0.999913462290293[/C][C]0.000173075419414882[/C][C]8.65377097074409e-05[/C][/ROW]
[ROW][C]265[/C][C]0.999858902097276[/C][C]0.000282195805447678[/C][C]0.000141097902723839[/C][/ROW]
[ROW][C]266[/C][C]0.999703006976808[/C][C]0.000593986046383355[/C][C]0.000296993023191678[/C][/ROW]
[ROW][C]267[/C][C]0.999363165742353[/C][C]0.00127366851529358[/C][C]0.000636834257646788[/C][/ROW]
[ROW][C]268[/C][C]0.998502873803707[/C][C]0.0029942523925863[/C][C]0.00149712619629315[/C][/ROW]
[ROW][C]269[/C][C]0.998786295272878[/C][C]0.0024274094542446[/C][C]0.0012137047271223[/C][/ROW]
[ROW][C]270[/C][C]0.998675635622994[/C][C]0.00264872875401235[/C][C]0.00132436437700617[/C][/ROW]
[ROW][C]271[/C][C]0.997550879092767[/C][C]0.0048982418144657[/C][C]0.00244912090723285[/C][/ROW]
[ROW][C]272[/C][C]0.995259552741941[/C][C]0.00948089451611743[/C][C]0.00474044725805872[/C][/ROW]
[ROW][C]273[/C][C]0.99155067832743[/C][C]0.016898643345142[/C][C]0.008449321672571[/C][/ROW]
[ROW][C]274[/C][C]0.978266299126037[/C][C]0.0434674017479261[/C][C]0.0217337008739631[/C][/ROW]
[ROW][C]275[/C][C]0.93664066153357[/C][C]0.126718676932859[/C][C]0.0633593384664293[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154299&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154299&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
140.2221399572216390.4442799144432790.777860042778361
150.1112848459374970.2225696918749940.888715154062503
160.05539899567756160.1107979913551230.944601004322438
170.02404954021104050.0480990804220810.97595045978896
180.0113734413224980.0227468826449960.988626558677502
190.004401280504909520.008802561009819040.99559871949509
200.0225096515018390.0450193030036780.97749034849816
210.447932204476130.8958644089522590.55206779552387
220.3623766276670590.7247532553341170.637623372332941
230.3000938576019090.6001877152038180.699906142398091
240.2938333965804590.5876667931609180.706166603419541
250.405757303378570.811514606757140.59424269662143
260.3382081246258690.6764162492517390.661791875374131
270.2887075023712020.5774150047424030.711292497628798
280.2621112372997850.5242224745995690.737888762700215
290.2070438146080320.4140876292160640.792956185391968
300.1608916044866660.3217832089733320.839108395513334
310.1237764887961890.2475529775923780.876223511203811
320.09278804299021350.1855760859804270.907211957009787
330.178022202847870.356044405695740.82197779715213
340.1772647368921940.3545294737843880.822735263107806
350.186407478109140.372814956218280.81359252189086
360.4541175324155940.9082350648311880.545882467584406
370.4005610573409640.8011221146819280.599438942659036
380.358998606035450.7179972120709010.64100139396455
390.3442650374919530.6885300749839060.655734962508047
400.3397427444440740.6794854888881480.660257255555926
410.2975280400164220.5950560800328440.702471959983578
420.2524740378643070.5049480757286130.747525962135693
430.2243718088679440.4487436177358880.775628191132056
440.1889977506624490.3779955013248970.811002249337551
450.2099509103407230.4199018206814450.790049089659277
460.1755343948020010.3510687896040020.824465605197999
470.1617665487988930.3235330975977850.838233451201107
480.1977782198928790.3955564397857570.802221780107121
490.1687448887652470.3374897775304950.831255111234753
500.216582363697530.433164727395060.78341763630247
510.2312497174239810.4624994348479620.768750282576019
520.1957368232101960.3914736464203920.804263176789804
530.266211639703420.5324232794068390.73378836029658
540.2561627181528370.5123254363056730.743837281847163
550.2232431756480130.4464863512960250.776756824351987
560.1895595539261750.3791191078523510.810440446073825
570.1600145082535430.3200290165070870.839985491746457
580.1431243303700470.2862486607400940.856875669629953
590.1192397139032660.2384794278065330.880760286096734
600.09962568138081760.1992513627616350.900374318619182
610.08085367125014480.161707342500290.919146328749855
620.06507282277404130.1301456455480830.934927177225959
630.1748262306548710.3496524613097410.825173769345129
640.1482512532462630.2965025064925250.851748746753737
650.325879402730260.651758805460520.67412059726974
660.716076617311790.567846765376420.28392338268821
670.6944137725146060.6111724549707870.305586227485394
680.7417153254557870.5165693490884260.258284674544213
690.862849368698780.2743012626024390.13715063130122
700.8717900027242980.2564199945514050.128209997275702
710.8534115799973740.2931768400052530.146588420002626
720.8621519134517180.2756961730965640.137848086548282
730.8443361048158340.3113277903683320.155663895184166
740.8279448360222050.3441103279555890.172055163977795
750.8015714506545430.3968570986909130.198428549345457
760.8174251321569970.3651497356860060.182574867843003
770.7981062410020610.4037875179958780.201893758997939
780.7748087911149230.4503824177701540.225191208885077
790.7477245995202080.5045508009595830.252275400479792
800.7247861126933440.5504277746133120.275213887306656
810.7178867079241670.5642265841516650.282113292075833
820.6953549094175490.6092901811649020.304645090582451
830.6904742641808710.6190514716382580.309525735819129
840.6575665343488590.6848669313022830.342433465651141
850.6539004730595360.6921990538809280.346099526940464
860.6181580568039480.7636838863921040.381841943196052
870.5836895604205610.8326208791588780.416310439579439
880.5494306943110080.9011386113779840.450569305688992
890.5115072560116770.9769854879766470.488492743988323
900.4807149415807480.9614298831614960.519285058419252
910.45091328001520.90182656003040.5490867199848
920.4211973181599980.8423946363199950.578802681840002
930.3902634508533060.7805269017066120.609736549146694
940.3667658947068730.7335317894137450.633234105293127
950.3437209539017830.6874419078035650.656279046098217
960.3459140047219640.6918280094439280.654085995278036
970.3341031698763040.6682063397526070.665896830123696
980.3286507160050470.6573014320100930.671349283994953
990.2973538277152740.5947076554305470.702646172284726
1000.4837604428746920.9675208857493840.516239557125308
1010.4531729580305820.9063459160611640.546827041969418
1020.4619109616670.9238219233340.538089038333
1030.4290891155148890.8581782310297780.570910884485111
1040.4519160794577130.9038321589154260.548083920542287
1050.4256540318429150.851308063685830.574345968157085
1060.4703324837067430.9406649674134860.529667516293257
1070.6285954299483320.7428091401033370.371404570051668
1080.6281065412432090.7437869175135830.371893458756791
1090.6169551424911750.766089715017650.383044857508825
1100.5898777598777940.8202444802444110.410122240122206
1110.634736472892790.7305270542144180.365263527107209
1120.6174550279524590.7650899440950830.382544972047541
1130.5923073654566760.8153852690866470.407692634543324
1140.5627563522409380.8744872955181250.437243647759062
1150.6385239685196180.7229520629607630.361476031480382
1160.6130897817046540.7738204365906910.386910218295346
1170.5903736316722140.8192527366555710.409626368327786
1180.624272320009760.751455359980480.37572767999024
1190.5924831643143860.8150336713712280.407516835685614
1200.562521727612770.8749565447744610.43747827238723
1210.5299269706488790.9401460587022420.470073029351121
1220.4984532975548880.9969065951097770.501546702445112
1230.470105196305030.940210392610060.52989480369497
1240.4423260333973310.8846520667946620.557673966602669
1250.407947600348880.8158952006977590.59205239965112
1260.3767450370458980.7534900740917970.623254962954102
1270.3446287214389830.6892574428779660.655371278561017
1280.3179010274411880.6358020548823760.682098972558812
1290.2981275511708360.5962551023416720.701872448829164
1300.2693748392367390.5387496784734790.73062516076326
1310.2418232191613720.4836464383227430.758176780838628
1320.2256912411425250.451382482285050.774308758857475
1330.2301977138907150.4603954277814290.769802286109285
1340.2084440191093950.4168880382187890.791555980890605
1350.9999999999999061.88342147739415e-139.41710738697077e-14
1360.9999999999999588.40673044002023e-144.20336522001011e-14
1370.9999999999999181.64058786011901e-138.20293930059506e-14
1380.9999999999999061.88740323976688e-139.43701619883438e-14
1390.9999999999998263.4826537107532e-131.7413268553766e-13
1400.9999999999996786.43890161613538e-133.21945080806769e-13
1410.9999999999994181.16474419658983e-125.82372098294915e-13
1420.9999999999994521.09525234962603e-125.47626174813013e-13
1430.9999999999989692.06251899776348e-121.03125949888174e-12
1440.9999999999991431.71404911941232e-128.57024559706162e-13
1450.9999999999986132.77386739562007e-121.38693369781003e-12
1460.9999999999977084.58459770233444e-122.29229885116722e-12
1470.9999999999957378.52619112923994e-124.26309556461997e-12
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1490.9999999999893372.13258736689941e-111.06629368344971e-11
1500.999999999981553.68975558192804e-111.84487779096402e-11
1510.9999999999825333.4934537034258e-111.7467268517129e-11
1520.9999999999998562.87088281650836e-131.43544140825418e-13
1530.999999999999725.59526443928611e-132.79763221964305e-13
1540.9999999999999823.565173420032e-141.782586710016e-14
1550.9999999999999774.61761292875772e-142.30880646437886e-14
1560.999999999999976.07356945062361e-143.0367847253118e-14
1570.9999999999999481.04723542433622e-135.2361771216811e-14
1580.999999999999921.58230692987036e-137.91153464935182e-14
1590.999999999999872.5826376475955e-131.29131882379775e-13
1600.9999999999998692.62342576650527e-131.31171288325264e-13
1610.9999999999998063.87497804934007e-131.93748902467003e-13
1620.9999999999996776.4622428973452e-133.2311214486726e-13
1630.9999999999999171.65846139922383e-138.29230699611916e-14
1640.999999999999911.80444701032841e-139.02223505164207e-14
1650.9999999999998383.24315150518606e-131.62157575259303e-13
1660.9999999999998343.31157806017242e-131.65578903008621e-13
1670.9999999999998183.63603494517584e-131.81801747258792e-13
1680.9999999999999968.70200364474718e-154.35100182237359e-15
1690.9999999999999911.72982629280685e-148.64913146403426e-15
1700.9999999999999975.62329222621296e-152.81164611310648e-15
1710.9999999999999941.12247177538804e-145.61235887694019e-15
1720.9999999999999992.62161996720045e-151.31080998360023e-15
1730.9999999999999984.30625527631515e-152.15312763815757e-15
1740.9999999999999976.9387359235833e-153.46936796179165e-15
1750.9999999999999931.40701664028971e-147.03508320144857e-15
1760.999999999999992.0742228604288e-141.0371114302144e-14
1770.999999999999991.9249008498116e-149.624504249058e-15
1780.999999999999983.8491323854744e-141.9245661927372e-14
1790.999999999999967.96757219017758e-143.98378609508879e-14
1800.9999999999999843.16855180628086e-141.58427590314043e-14
1810.9999999999999666.69880310129521e-143.34940155064761e-14
1820.9999999999999331.33100479264973e-136.65502396324865e-14
1830.9999999999998662.67070811377431e-131.33535405688715e-13
1840.9999999999999291.42629162596887e-137.13145812984436e-14
1850.9999999999999862.77535733435716e-141.38767866717858e-14
1860.999999999999976.03835284353789e-143.01917642176895e-14
1870.9999999999999351.30830149928217e-136.54150749641085e-14
1880.999999999999862.78562421950443e-131.39281210975222e-13
1890.999999999999774.60679358006455e-132.30339679003227e-13
1900.9999999999995139.73696688109541e-134.86848344054771e-13
1910.9999999999992851.42946428061091e-127.14732140305456e-13
1920.9999999999999921.68499911587137e-148.42499557935686e-15
1930.9999999999999813.77471740548498e-141.88735870274249e-14
1940.9999999999999676.56246918145463e-143.28123459072732e-14
19511.7991898158395e-178.9959490791975e-18
19613.99723071860487e-171.99861535930243e-17
19711.39004630826802e-176.9502315413401e-18
19812.14560166834279e-171.0728008341714e-17
19915.48040564228256e-172.74020282114128e-17
20011.38062825636589e-166.90314128182943e-17
20112.43936378841626e-161.21968189420813e-16
20216.09833466194914e-163.04916733097457e-16
20313.90490221959506e-161.95245110979753e-16
20419.48347307169892e-164.74173653584946e-16
2050.9999999999999992.15531734778873e-151.07765867389436e-15
2060.9999999999999984.27126082209817e-152.13563041104909e-15
2070.9999999999999951.04139653875862e-145.20698269379312e-15
2080.9999999999999882.34285394719333e-141.17142697359667e-14
2090.9999999999999725.63873758730421e-142.8193687936521e-14
2100.9999999999999361.28569714082493e-136.42848570412467e-14
2110.9999999999998652.70655863502256e-131.35327931751128e-13
2120.9999999999997165.67062399253053e-132.83531199626526e-13
2130.9999999999993331.33454355988822e-126.67271779944111e-13
2140.9999999999984353.12980583875191e-121.56490291937596e-12
2150.9999999999970075.98589277599473e-122.99294638799737e-12
2160.999999999994141.17176655094242e-115.8588327547121e-12
2170.999999999991161.76802875176939e-118.84014375884693e-12
2180.9999999999805733.88546648271327e-111.94273324135663e-11
2190.9999999999992051.59018819846313e-127.95094099231563e-13
2200.9999999999980863.82779538168539e-121.91389769084269e-12
2210.99999999999715.79799841261873e-122.89899920630937e-12
2220.9999999999946461.07075894978696e-115.35379474893481e-12
2230.9999999999908751.82495418988077e-119.12477094940384e-12
2240.999999999983473.30606106687014e-111.65303053343507e-11
2250.999999999966036.79412699207994e-113.39706349603997e-11
2260.999999999938041.23920473761541e-106.19602368807705e-11
2270.9999999999168351.66330990302551e-108.31654951512755e-11
2280.9999999999998153.69986756376531e-131.84993378188265e-13
2290.9999999999995389.2402965649945e-134.62014828249725e-13
2300.999999999998862.2805969813238e-121.1402984906619e-12
2310.9999999999973545.29272349049186e-122.64636174524593e-12
2320.9999999999952369.52861981649025e-124.76430990824512e-12
2330.9999999999926351.47295498283297e-117.36477491416484e-12
2340.9999999999843663.12674175037073e-111.56337087518537e-11
2350.9999999999610127.79752656875467e-113.89876328437733e-11
2360.9999999999359691.28062607457992e-106.40313037289962e-11
2370.9999999998422023.15596510622895e-101.57798255311448e-10
2380.9999999999549939.00143382091109e-114.50071691045555e-11
2390.9999999999491251.01750194855407e-105.08750974277033e-11
2400.9999999998818132.36373353852314e-101.18186676926157e-10
2410.9999999997778244.44352292299183e-102.22176146149591e-10
2420.9999999995661998.67602986129234e-104.33801493064617e-10
2430.9999999990358761.92824811494039e-099.64124057470193e-10
2440.9999999974008025.19839585031053e-092.59919792515527e-09
2450.9999999956361228.72775688185321e-094.3638784409266e-09
2460.9999999963093427.38131505725197e-093.69065752862599e-09
2470.9999999951885769.62284859190535e-094.81142429595267e-09
2480.9999999899650262.00699476036266e-081.00349738018133e-08
2490.9999999932838661.34322682440739e-086.71613412203696e-09
2500.999999986559542.68809200911947e-081.34404600455974e-08
2510.9999999810112733.79774539020956e-081.89887269510478e-08
2520.9999999881619482.36761036851758e-081.18380518425879e-08
2530.9999999653038566.93922884958444e-083.46961442479222e-08
2540.999999913552791.7289441914702e-078.64472095735099e-08
2550.9999997870076194.25984762134191e-072.12992381067095e-07
2560.999999397215081.20556984157985e-066.02784920789927e-07
2570.999998832898072.33420386051977e-061.16710193025989e-06
2580.9999970021372075.99572558504922e-062.99786279252461e-06
2590.9999952057338989.58853220401871e-064.79426610200936e-06
2600.9999955831925718.83361485728802e-064.41680742864401e-06
2610.9999929723761271.40552477463384e-057.02762387316918e-06
2620.999979757644654.04847107021284e-052.02423553510642e-05
2630.9999634699478627.30601042769311e-053.65300521384656e-05
2640.9999134622902930.0001730754194148828.65377097074409e-05
2650.9998589020972760.0002821958054476780.000141097902723839
2660.9997030069768080.0005939860463833550.000296993023191678
2670.9993631657423530.001273668515293580.000636834257646788
2680.9985028738037070.00299425239258630.00149712619629315
2690.9987862952728780.00242740945424460.0012137047271223
2700.9986756356229940.002648728754012350.00132436437700617
2710.9975508790927670.00489824181446570.00244912090723285
2720.9952595527419410.009480894516117430.00474044725805872
2730.991550678327430.0168986433451420.008449321672571
2740.9782662991260370.04346740174792610.0217337008739631
2750.936640661533570.1267186769328590.0633593384664293






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1390.530534351145038NOK
5% type I error level1440.549618320610687NOK
10% type I error level1440.549618320610687NOK

\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 & 139 & 0.530534351145038 & NOK \tabularnewline
5% type I error level & 144 & 0.549618320610687 & NOK \tabularnewline
10% type I error level & 144 & 0.549618320610687 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154299&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]139[/C][C]0.530534351145038[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]144[/C][C]0.549618320610687[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]144[/C][C]0.549618320610687[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154299&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154299&T=6

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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 level1390.530534351145038NOK
5% type I error level1440.549618320610687NOK
10% type I error level1440.549618320610687NOK


Figures (Output of Computation)

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Figure 10
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Input Parameters & R Code

Parameters (Session):
par1 = 11 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 11 ; 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')
}