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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 computationFri, 23 Dec 2011 08:33:06 -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/23/t1324647402dmi0ukyrtw7mvsu.htm/, Retrieved Mon, 29 Apr 2024 23:27:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=160395, Retrieved Mon, 29 Apr 2024 23:27:51 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact73

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2011-12-23 13:33:06] [888e326c8b932e070d5e53fa2c51e0f3] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
146283	56	396	81	3	79	30	144	145
98364	56	297	55	4	58	28	103	101
86146	54	559	50	12	60	38	98	98
96933	89	967	125	2	108	30	135	132
79234	40	270	40	1	49	22	61	60
42551	25	143	37	3	0	26	39	38
195663	92	1562	63	0	121	25	150	144
6853	18	109	44	0	1	18	5	5
21529	63	371	88	0	20	11	28	28
95757	44	656	66	5	43	26	84	84
85584	33	511	57	0	69	25	80	79
143983	84	655	74	0	78	38	130	127
75851	88	465	49	7	86	44	82	78
59238	55	525	52	7	44	30	60	60
93163	60	885	88	3	104	40	131	131
96037	66	497	36	9	63	34	84	84
151511	154	1436	108	0	158	47	140	133
136368	53	612	43	4	102	30	151	150
112642	119	865	75	3	77	31	91	91
94728	41	385	32	0	82	23	138	132
105499	61	567	44	7	115	36	150	136
121527	58	639	85	0	101	36	124	124
127766	75	963	86	1	80	30	119	118
98958	33	398	56	5	50	25	73	70
77900	40	410	50	7	83	39	110	107
85646	92	966	135	0	123	34	123	119
98579	100	801	63	0	73	31	90	89
130767	112	892	81	5	81	31	116	112
131741	73	513	52	0	105	33	113	108
53907	40	469	44	0	47	25	56	52
178812	45	683	113	0	105	33	115	112
146761	60	643	39	3	94	35	119	116
82036	62	535	73	4	44	42	129	123
163253	75	625	48	1	114	43	127	125
27032	31	264	33	4	38	30	27	27
171975	77	992	59	2	107	33	175	162
65990	34	238	41	0	30	13	35	32
86572	46	818	69	0	71	32	64	64
159676	99	937	64	0	84	36	96	92
1929	17	70	1	0	0	0	0	0
85371	66	507	59	2	59	28	84	83
58391	30	260	32	1	33	14	41	41
31580	76	503	129	0	42	17	47	47
136815	146	927	37	2	96	32	126	120
120642	67	1269	31	10	106	30	105	105
69107	56	537	65	6	56	35	80	79
50495	107	910	107	0	57	20	70	65
108016	58	532	74	5	59	28	73	70
46341	34	345	54	4	39	28	57	55
78348	61	918	76	1	34	39	40	39
79336	119	1635	715	2	76	34	68	67
56968	42	330	57	2	20	26	21	21
93176	66	557	66	0	91	39	127	127
161632	89	1178	106	8	115	39	154	152
87850	44	740	54	3	85	33	116	113
127969	66	452	32	0	76	28	102	99
15049	24	218	20	0	8	4	7	7
155135	259	764	71	8	79	39	148	141
25109	17	255	21	5	21	18	21	21
45824	64	454	70	3	30	14	35	35
102996	41	866	112	1	76	29	112	109
160604	68	574	66	5	101	44	137	133
158051	168	1276	190	1	94	21	135	123
44547	43	379	66	1	27	16	26	26
162647	132	825	165	5	92	28	230	230
174141	105	798	56	0	123	35	181	166
60622	71	663	61	12	75	28	71	68
179566	112	1069	53	8	128	38	147	147
184301	94	921	127	8	105	23	190	179
75661	82	858	63	8	55	36	64	61
96144	70	711	38	8	56	32	105	101
129847	57	503	50	2	41	29	107	108
117286	53	382	52	0	72	25	94	90
71180	103	464	42	5	67	27	116	114
109377	121	717	76	8	75	36	106	103
85298	62	690	67	2	114	28	143	142
73631	52	462	50	5	118	23	81	79
86767	52	657	53	12	77	40	89	88
23824	32	385	39	6	22	23	26	25
93487	62	577	50	7	66	40	84	83
82981	45	619	77	2	69	28	113	113
73815	46	479	57	0	105	34	120	118
94552	63	817	73	4	116	33	110	110
132190	75	752	34	3	88	28	134	129
128754	88	430	39	6	73	34	54	51
66363	46	451	46	2	99	30	96	93
67808	53	537	63	0	62	33	78	76
61724	37	519	35	1	53	22	51	49
131722	90	1000	106	0	118	38	121	118
68580	63	637	43	5	30	26	38	38
106175	78	465	47	2	100	35	145	141
55792	25	437	31	0	49	8	59	58
25157	45	711	162	0	24	24	27	27
76669	46	299	57	5	67	29	91	91
57283	41	248	36	0	46	20	48	48
105805	144	1162	263	1	57	29	68	63
129484	82	714	78	0	75	45	58	56
72413	91	905	63	1	135	37	150	144
87831	71	649	54	1	68	33	74	73
96971	63	512	63	2	124	33	181	168
71299	53	472	77	6	33	25	65	64
77494	62	905	79	1	98	32	97	97
120336	63	786	110	4	58	29	121	117
93913	32	489	56	2	68	28	99	100
136048	39	479	56	3	81	28	152	149
181248	62	617	43	0	131	31	188	187
146123	117	925	111	10	110	52	138	127
32036	34	351	71	0	37	21	40	37
186646	92	1144	62	9	130	24	254	245
102255	93	669	56	7	93	41	87	87
168237	54	707	74	0	118	33	178	177
64219	144	458	60	0	39	32	51	49
19630	14	214	43	4	13	19	49	49
76825	61	599	68	4	74	20	73	73
115338	109	572	53	0	81	31	176	177
109427	38	897	87	0	109	31	94	94
118168	73	819	46	0	151	32	120	117
84845	75	720	105	1	51	18	66	60
153197	50	273	32	0	28	23	56	55
29877	61	508	133	1	40	17	39	39
63506	55	506	79	0	56	20	66	64
22445	77	451	51	0	27	12	27	26
47695	75	699	207	4	37	17	65	64
68370	72	407	67	0	83	30	58	58
146304	50	465	47	4	54	31	98	95
38233	32	245	34	4	27	10	25	25
42071	53	370	66	3	28	13	26	26
50517	42	316	76	0	59	22	77	76
103950	71	603	65	0	133	42	130	129
5841	10	154	9	0	12	1	11	11
2341	35	229	42	5	0	9	2	2
84396	65	577	45	0	106	32	101	101
24610	25	192	25	4	23	11	31	28
35753	66	617	115	0	44	25	36	36
55515	41	411	97	0	71	36	120	89
209056	86	975	53	1	116	31	195	193
6622	16	146	2	0	4	0	4	4
115814	42	705	52	5	62	24	89	84
11609	19	184	44	0	12	13	24	23
13155	19	200	22	0	18	8	39	39
18274	45	274	35	0	14	13	14	14
72875	65	502	74	0	60	19	78	78
10112	35	382	103	0	7	18	15	14
142775	95	964	144	2	98	33	106	101
68847	49	537	60	7	64	40	83	82
17659	37	438	134	1	29	22	24	24
20112	64	369	89	8	32	38	37	36
61023	38	417	42	2	25	24	77	75
13983	34	276	52	0	16	8	16	16
65176	32	514	98	2	48	35	56	55
132432	65	822	99	0	100	43	132	131
112494	52	389	52	0	46	43	144	131
45109	62	466	29	1	45	14	40	39
170875	65	1255	125	3	129	41	153	144
180759	83	694	106	0	130	38	143	139
214921	95	1024	95	3	136	45	220	211
100226	29	400	40	0	59	31	79	78
32043	18	397	140	0	25	13	50	50
54454	33	350	43	0	32	28	39	39
78876	247	719	128	4	63	31	95	90
170745	139	1277	142	4	95	40	169	166
6940	29	356	73	11	14	30	12	12
49025	118	457	72	0	36	16	63	57
122037	110	1402	128	0	113	37	134	133
53782	67	600	61	4	47	30	69	69
127748	42	480	73	0	92	35	119	119
86839	65	595	148	1	70	32	119	119
44830	94	436	64	0	19	27	75	65
77395	64	230	45	0	50	20	63	61
89324	81	651	58	0	41	18	55	49
103300	95	1367	97	9	91	31	103	101
112283	67	564	50	1	111	31	197	196
10901	63	716	37	3	41	21	16	15
120691	83	747	50	10	120	39	140	136
58106	45	467	105	5	135	41	89	89
57140	30	671	69	0	27	13	40	40
122422	70	861	46	2	87	32	125	123
25899	32	319	57	0	25	18	21	21
139296	83	612	52	1	131	39	167	163
52678	31	433	98	2	45	14	32	29
23853	67	434	61	4	29	7	36	35
17306	66	503	89	0	58	17	13	13
7953	10	85	0	0	4	0	5	5
89455	70	564	48	2	47	30	96	96
147866	103	824	91	1	109	37	151	151
4245	5	74	0	0	7	0	6	6
21509	20	259	7	0	12	5	13	13
7670	5	69	3	0	0	1	3	3
66675	36	535	54	1	37	16	57	56
14336	34	239	70	0	37	32	23	23
53608	48	438	36	2	46	24	61	57
30059	40	459	37	0	15	17	21	14
29668	43	426	123	3	42	11	43	43
22097	31	288	247	6	7	24	20	20
96841	42	498	46	0	54	22	82	72
41907	46	454	72	2	54	12	90	87
27080	33	376	41	0	14	19	25	21
35885	18	225	24	2	16	13	60	56
41247	55	555	45	1	33	17	61	59
28313	35	252	33	1	32	15	85	82
36845	59	208	27	2	21	16	43	43
16548	19	130	36	1	15	24	25	25
36134	66	481	87	0	38	15	41	38
55764	60	389	90	1	22	17	26	25
28910	36	565	114	3	28	18	38	38
13339	25	173	31	0	10	20	12	12
25319	47	278	45	0	31	16	29	29
66956	54	609	69	0	32	16	49	47
47487	53	422	51	0	32	18	46	45
52785	40	445	34	1	43	22	41	40
44683	40	387	60	4	27	8	31	30
35619	39	339	45	0	37	17	41	41
21920	14	181	54	0	20	18	26	25
45608	45	245	25	0	32	16	23	23
7721	36	384	38	7	0	23	14	14
20634	28	212	52	2	5	22	16	16
29788	44	399	67	0	26	13	25	26
31931	30	229	74	7	10	13	21	21
37754	22	224	38	3	27	16	32	27
32505	17	203	30	0	11	16	9	9
40557	31	333	26	0	29	20	35	33
94238	55	384	67	6	25	22	42	42
44197	54	636	132	2	55	17	68	68
43228	21	185	42	0	23	18	32	32
4103	14	93	35	0	5	17	6	6
44144	81	581	118	3	43	12	68	67
32868	35	248	68	0	23	7	33	33
27640	43	304	43	1	34	17	84	77
14063	46	344	76	1	36	14	46	46
28990	30	407	64	0	35	23	30	30
4694	23	170	48	1	0	17	0	0
42648	38	312	64	0	37	14	36	36
64329	54	507	56	0	28	15	47	46
21928	20	224	71	0	16	17	20	18
25836	53	340	75	0	26	21	50	48
22779	45	168	39	0	38	18	30	29
40820	39	443	42	0	23	18	30	28
27530	20	204	39	0	22	17	34	34
32378	24	367	93	0	30	17	33	33
10824	31	210	38	0	16	16	34	34
39613	35	335	60	0	18	15	37	33
60865	151	364	71	0	28	21	83	80
19787	52	178	52	0	32	16	32	32
20107	30	206	27	2	21	14	30	30
36605	31	279	59	0	23	15	43	41
40961	29	387	40	1	29	17	41	41
48231	57	490	79	1	50	15	51	51
39725	40	238	44	0	12	15	19	18
21455	44	343	65	0	21	10	37	34
23430	25	232	10	0	18	6	33	31
62991	77	530	124	0	27	22	41	39
49363	35	291	81	0	41	21	54	54
9604	11	67	15	0	13	1	14	14
24552	63	397	92	1	12	18	25	24
31493	44	467	42	0	21	17	25	24
3439	19	178	10	0	8	4	8	8
19555	13	175	24	0	26	10	26	26
21228	42	299	64	0	27	16	20	19
23177	38	154	45	1	13	16	11	11
22094	29	106	22	0	16	9	14	14
2342	20	189	56	0	2	16	3	1
38798	27	194	94	0	42	17	40	39
3255	20	135	19	0	5	7	5	5
24261	19	201	35	0	37	15	38	37
18511	37	207	32	0	17	14	32	32
40798	26	280	35	0	38	14	41	38
28893	42	260	48	0	37	18	46	47
21425	49	227	49	0	29	12	47	47
50276	30	239	48	0	32	16	37	37
37643	49	333	62	0	35	21	51	51
30377	67	428	96	1	17	19	49	45
27126	28	230	45	0	20	16	21	21
13	19	292	63	0	7	1	1	1
42097	49	350	71	1	46	16	44	42
24451	27	186	26	0	24	10	26	26
14335	30	326	48	6	40	19	21	21
5084	22	155	29	3	3	12	4	4
9927	12	75	19	1	10	2	10	10
43527	31	361	45	2	37	14	43	43
27184	20	261	45	0	17	17	34	34
21610	20	299	67	0	28	19	32	31
20484	39	300	30	0	19	14	20	19
20156	29	450	36	3	29	11	34	34
6012	16	183	34	1	8	4	6	6
18475	27	238	36	0	10	16	12	11
12645	21	165	34	0	15	20	24	24
11017	19	234	37	1	15	12	16	16
37623	35	176	46	0	28	15	72	72
35873	14	329	44	0	17	16	27	21

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time10 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 10 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160395&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]10 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160395&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160395&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 time10 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Multiple Linear Regression - Estimated Regression Equation
totseconds[t] = -7419.81109029818 + 57.0679045873709logins[t] + 44.4179667964173compendium_views_info[t] -97.4480267596931compendium_views_pr[t] -747.003662803908shared_compendiums[t] + 30.513722148267blogged_computations[t] + 674.67515500833compendiums_reviewed[t] + 210.795031970112tothyperlinks[t] + 382.246193827217totblogs[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
totseconds[t] =  -7419.81109029818 +  57.0679045873709logins[t] +  44.4179667964173compendium_views_info[t] -97.4480267596931compendium_views_pr[t] -747.003662803908shared_compendiums[t] +  30.513722148267blogged_computations[t] +  674.67515500833compendiums_reviewed[t] +  210.795031970112tothyperlinks[t] +  382.246193827217totblogs[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160395&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]totseconds[t] =  -7419.81109029818 +  57.0679045873709logins[t] +  44.4179667964173compendium_views_info[t] -97.4480267596931compendium_views_pr[t] -747.003662803908shared_compendiums[t] +  30.513722148267blogged_computations[t] +  674.67515500833compendiums_reviewed[t] +  210.795031970112tothyperlinks[t] +  382.246193827217totblogs[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160395&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160395&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
totseconds[t] = -7419.81109029818 + 57.0679045873709logins[t] + 44.4179667964173compendium_views_info[t] -97.4480267596931compendium_views_pr[t] -747.003662803908shared_compendiums[t] + 30.513722148267blogged_computations[t] + 674.67515500833compendiums_reviewed[t] + 210.795031970112tothyperlinks[t] + 382.246193827217totblogs[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-7419.811090298183142.120962-2.36140.0188910.009445
logins57.067904587370951.4317241.10960.268130.134065
compendium_views_info44.41796679641738.2508935.383400
compendium_views_pr-97.448026759693128.274401-3.44650.0006550.000328
shared_compendiums-747.003662803908488.802887-1.52820.1275840.063792
blogged_computations30.51372214826783.5306540.36530.7151630.357582
compendiums_reviewed674.67515500833190.656743.53870.0004710.000235
tothyperlinks210.795031970112410.1606970.51390.6077040.303852
totblogs382.246193827217422.9077940.90390.3668510.183425

\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) & -7419.81109029818 & 3142.120962 & -2.3614 & 0.018891 & 0.009445 \tabularnewline
logins & 57.0679045873709 & 51.431724 & 1.1096 & 0.26813 & 0.134065 \tabularnewline
compendium_views_info & 44.4179667964173 & 8.250893 & 5.3834 & 0 & 0 \tabularnewline
compendium_views_pr & -97.4480267596931 & 28.274401 & -3.4465 & 0.000655 & 0.000328 \tabularnewline
shared_compendiums & -747.003662803908 & 488.802887 & -1.5282 & 0.127584 & 0.063792 \tabularnewline
blogged_computations & 30.513722148267 & 83.530654 & 0.3653 & 0.715163 & 0.357582 \tabularnewline
compendiums_reviewed & 674.67515500833 & 190.65674 & 3.5387 & 0.000471 & 0.000235 \tabularnewline
tothyperlinks & 210.795031970112 & 410.160697 & 0.5139 & 0.607704 & 0.303852 \tabularnewline
totblogs & 382.246193827217 & 422.907794 & 0.9039 & 0.366851 & 0.183425 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160395&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]-7419.81109029818[/C][C]3142.120962[/C][C]-2.3614[/C][C]0.018891[/C][C]0.009445[/C][/ROW]
[ROW][C]logins[/C][C]57.0679045873709[/C][C]51.431724[/C][C]1.1096[/C][C]0.26813[/C][C]0.134065[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]44.4179667964173[/C][C]8.250893[/C][C]5.3834[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]-97.4480267596931[/C][C]28.274401[/C][C]-3.4465[/C][C]0.000655[/C][C]0.000328[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]-747.003662803908[/C][C]488.802887[/C][C]-1.5282[/C][C]0.127584[/C][C]0.063792[/C][/ROW]
[ROW][C]blogged_computations[/C][C]30.513722148267[/C][C]83.530654[/C][C]0.3653[/C][C]0.715163[/C][C]0.357582[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]674.67515500833[/C][C]190.65674[/C][C]3.5387[/C][C]0.000471[/C][C]0.000235[/C][/ROW]
[ROW][C]tothyperlinks[/C][C]210.795031970112[/C][C]410.160697[/C][C]0.5139[/C][C]0.607704[/C][C]0.303852[/C][/ROW]
[ROW][C]totblogs[/C][C]382.246193827217[/C][C]422.907794[/C][C]0.9039[/C][C]0.366851[/C][C]0.183425[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160395&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160395&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)-7419.811090298183142.120962-2.36140.0188910.009445
logins57.067904587370951.4317241.10960.268130.134065
compendium_views_info44.41796679641738.2508935.383400
compendium_views_pr-97.448026759693128.274401-3.44650.0006550.000328
shared_compendiums-747.003662803908488.802887-1.52820.1275840.063792
blogged_computations30.51372214826783.5306540.36530.7151630.357582
compendiums_reviewed674.67515500833190.656743.53870.0004710.000235
tothyperlinks210.795031970112410.1606970.51390.6077040.303852
totblogs382.246193827217422.9077940.90390.3668510.183425






Multiple Linear Regression - Regression Statistics
Multiple R0.913217640297995
R-squared0.833966458551439
Adjusted R-squared0.82922264308148
F-TEST (value)175.80077973789
F-TEST (DF numerator)8
F-TEST (DF denominator)280
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation20377.7784314001
Sum Squared Residuals116271079063.786

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.913217640297995 \tabularnewline
R-squared & 0.833966458551439 \tabularnewline
Adjusted R-squared & 0.82922264308148 \tabularnewline
F-TEST (value) & 175.80077973789 \tabularnewline
F-TEST (DF numerator) & 8 \tabularnewline
F-TEST (DF denominator) & 280 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 20377.7784314001 \tabularnewline
Sum Squared Residuals & 116271079063.786 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160395&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.913217640297995[/C][/ROW]
[ROW][C]R-squared[/C][C]0.833966458551439[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.82922264308148[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]175.80077973789[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]8[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]280[/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]20377.7784314001[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]116271079063.786[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160395&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160395&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 R0.913217640297995
R-squared0.833966458551439
Adjusted R-squared0.82922264308148
F-TEST (value)175.80077973789
F-TEST (DF numerator)8
F-TEST (DF denominator)280
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation20377.7784314001
Sum Squared Residuals116271079063.786






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1146283111662.22667063534620.7733293653
29836481599.925676434916764.0743235651
38614692241.5732523364-6095.57325233635
496933129385.959182964-32452.9591829644
57923454342.125770295924891.8742297041
64255134799.98344023867751.01655976142
7195663168293.82054366827369.1794563323
868539301.12903694234-2448.12903694234
92152928715.9616957062-7186.96169570621
109575782731.881899404313025.1181005957
118558477639.85084214967944.14915785044
12143983123222.85415652920760.1458434705
137585187662.8227880618-11811.8227880618
145923865907.3651716083-6669.36517160829
1593163132346.560339712-39183.5603397117
169603782868.020914303213168.9790856968
17151511171509.408285419-19998.4082854186
18136368128129.93694138238.06305870002
19112642105474.4357973437167.56420265707
2094728106468.419136512-11740.4191365121
21105499123131.700229415-17632.7002294151
22121527116897.429400254629.5705997503
23127766123378.2619127334387.73808726683
249895863487.508617841735470.4913821583
257790095905.6107419713-18005.6107419713
2685646125689.937536803-40043.9375368031
2798579103860.440736523-5281.44073652261
28130767117614.65084078613152.349159214
29131741105035.91400644326705.0859935571
305390761389.5660288082-7482.56602880823
31178812106995.31224029571816.6877597047
32146761114430.6193986332330.3806013702
3382036113668.091875295-31632.0918752946
34163253126238.34133311337014.6586668868
352703237283.7268402909-10251.7268402909
36171975158135.86210046413839.1378995362
376599030392.497667053535597.5023329465
388657286526.01319759445.9868024060121
39159676115867.30378146343808.6962185368
401929-3437.847063323345366.84706332334
418537181747.56959395163623.43040604844
425839136742.652153977321648.3478460227
433158047312.7830827828-15732.7830827828
44136815133936.6134580212878.38654197933
45120642128023.250830805-7381.25083080541
466910781195.7467556208-12088.7467556208
475049583514.3057212979-33019.3057212979
4810801671410.798265930936605.2017340691
494634154714.2851010063-8373.28510100631
507834879373.1713485338-1025.17134853384
517933666027.854122895513308.1458771045
525696833192.119309204623775.8806907954
5393176119061.223789011-25885.2237890109
54161632154063.3426427087568.65735729154
5587850112961.257816346-25111.2578163459
5612796993858.668421486234110.3315785138
57150498778.07382402466270.9261759754
58155135142218.55678417612916.4432158237
592510924334.3046418079774.695358192095
604582438453.22560474797370.77439525208
61102996108883.250669921-5887.25066992093
62160604124275.38719889436328.612801106
63158051132092.87305928825958.1269407122
644454731727.689642724312819.3103572757
65162647175041.68090417-12394.6809041696
66174141157534.35410781116606.6458921894
676062273311.3704869236-12689.3704869236
68179566152034.29852566527531.7014743355
69184301147696.18481965536604.8151803445
707566186029.5777769023-10368.5777769023
7196144102515.779637751-6371.77963775106
7212984796463.187563649333383.8124363507
7311728680785.911097083436500.0889029166
747118099529.2226118065-28349.2226118065
75109377106243.4743160923133.52568390792
7685298125535.888725466-40237.888725466
777363173851.395636802-220.395636802014
788676792336.5204694655-5569.52046946546
792382434450.4401820237-10626.4401820237
809348790080.26749330683406.73250669318
8182981101655.470360573-18674.4703605735
8273815107470.331894779-33655.3318947786
8394552113401.631888886-18849.6318888859
84132190123840.7540634068349.24593659413
8512875464463.339814079364290.6601859207
866636388307.5312273416-21944.5312273416
876780882966.8644496526-15158.8644496526
886172459527.63235943272196.36764056728
89131722131654.30112626267.6988737377766
906858057536.960558300811043.0394416992
91106175122738.771049959-16563.7710499595
925579251896.40893841693895.59106158311
932515743879.4848216022-18722.4848216022
947666974773.479180261895.52081974002
955728345790.612957205211492.3870427948
9610580585756.24392989220048.756070108
9712948487654.049136337641829.9508636624
9872413146830.438761206-74417.4387612059
998783187292.0912149848538.90878501518
10096971139703.475898226-42732.4758982261
1017129960623.813332521910675.1866674781
10277494109976.209801194-32482.2098011944
103120336108945.07013191711390.9298680827
1049391389234.81578987334678.18421012671
105136048118741.98637109417306.0136289062
106181248155355.75101959325892.2489804067
107146123138131.583959427991.41604058028
1083203641064.490536349-9028.49053634902
109186646203231.022730056-16585.0227300564
11010225599011.05284445833243.94715554171
111168237150898.19562913717338.8043708627
1126421967554.7646095191-3335.76460951909
1131963037980.8310636307-18350.8310636307
1147682572096.7407520544728.25924794598
115115338147186.965332437-31848.9653324372
116109427106100.5079166833326.4920833168
117118168124857.237038752-6689.23703875248
1188484568409.767733975416435.2322660246
11915319753641.327454348499555.6725456516
1202987740736.7013274365-10859.7013274365
1216350664074.5208024174-568.520802417451
1222244536586.9104841731-14141.9104841731
1234769555512.6031916049-7817.6031916049
1246837065407.45741803612962.54258196393
12514630488053.839138404458250.1608615956
1263823321384.168853594516848.8311464055
1274207128411.087918945713659.9120810543
1285051763532.1595858007-13015.1595858007
129103950126189.71709016-22239.7170901596
13058416678.49590594471-837.495905944712
13123414179.60337538236-1838.60337538236
13284396102254.831658741-17858.8316587406
1332461022471.70256182762138.29743817242
1343575352104.9998269289-16351.9998269289
1355551589493.3936952839-33978.3936952839
136209056174216.86546693734839.1345330632
13766222277.62227363974344.3777263603
13811581486442.884408540729371.1155914593
1391160920537.3567161723-8928.35671617233
1401315529479.4719122634-16324.4719122634
1411827421408.6328681092-3134.63286810924
1427287572283.1349457111591.86505428893
1431011222379.2031685634-12267.2031685634
144142775111499.80050943131275.1994905695
1456884785933.1171241235-17086.1171241235
1461765930302.4723592814-12643.4723592814
1472011246148.2350268626-26036.2350268626
1486102369538.9657612595-8515.96576125948
1491398317086.8395171758-3103.83951717575
1506517664099.634381031076.36561896998
151132432133115.416256931-683.416256931415
152112494118602.410519787-6108.41051978738
1534510947402.1475872689-2293.14758726886
154170875156505.18001902614369.8199809744
155180759130693.7533939450065.2466060599
156214921193526.16643295721394.8335670426
15710022677287.673847082522938.3261529175
1583204336784.3016227766-4741.30162277655
1595445448815.40424423795638.59575576207
16078876100416.097175159-21540.0971751593
161170745169371.7751779651373.2248220353
162694022501.1495478531-15561.1495478531
1634902559558.3710900157-10533.3710900157
164122037156154.609838726-34117.6098387262
1655378276716.4184825833-22934.4184825833
166127748106176.75774400821571.2422559916
16786839101846.452709038-15007.4527090381
1684483070525.7516541018-25695.7516541018
1697739553679.800007440623715.1999925594
1708932464185.80566780325138.194332197
171103300126555.9412855-23255.9412855001
172112283156584.895041409-44301.8950414089
1731090146657.7974286046-35756.7974286046
174120691129625.372760788-8934.37276078767
1755810686486.0769275929-28380.0769275929
1765714050689.06446630486450.9355336952
177122422126452.154710157-4030.15471015684
1782589928382.0173248528-2483.01732485284
179139296146504.848195146-7208.84819514593
1805267831187.509937522821490.4900624772
1812385333323.6537853786-9470.65378537856
1821730630964.8429845599-13658.8429845599
183795313.65615085072937939.34384914927
1848945594061.5201616861-4606.52016168607
185147866143282.0151693794583.98483062114
1864245-75.6986146045924320.69861460459
1872150915992.74059058965516.25940941039
1887670-1908.177106287289578.17710628728
1896667557733.96247934288941.03752065721
1901433634673.5907299287-20337.5907299287
1915360862014.746435118-8406.74643511803
1923005933350.5007149626-3291.50071496257
1932966833932.8201269826-4264.82012698256
194220976856.6080939952315240.3919060048
1959684173912.092119339822928.9078806602
1964190768831.6187903729-26924.6187903729
1972708033712.2821042489-6632.28210424892
1983588543081.1790956394-7196.17909563937
1994124763126.1832190458-21879.1832190458
2002831362166.436702244-33853.436702244
2013684537997.391680424-1152.39168042401
2021654826659.6223516004-10111.6223516004
2033613443681.3347564197-7547.33475641966
2045576430943.13139688124820.868603119
2052891041914.8022664061-13004.8022664061
2061333919585.440981833-6246.44098183303
2072531932164.3374053782-6845.33740537818
2086695656054.252955311710901.7470446883
2094748749397.5625679206-1910.56256792063
2105278550656.05127139092128.9487286091
2114468327441.065530572817241.9344694272
2123561942391.5423407265-6772.54234072655
2132192023947.8510290717-2027.85102907174
2144560829005.635594479816602.3644055202
215772126579.1877945299-18858.1877945299
2162063421517.4761155587-883.476115558681
2172978831057.3383001409-1269.33830014089
2183193113553.540802192718377.4591978073
2193775426526.032602256311227.9673977437
2203250516111.574200509216393.4257994908
2214055740977.1797570837-420.179757083688
2229423842277.811089486351960.1889105137
2234419763029.0714895686-18832.0714895686
2244322829726.409264541313501.5907354587
22541039279.62315006949-5176.62315006949
2264414458622.3988168084-14478.3988168084
2273286823961.65766189258906.34233810752
2282764063246.5856979667-35606.5856979667
2291406340155.8819562792-26092.8819562792
2302899040510.4104351452-11520.4104351452
23146947488.77375847473-2794.77375847473
2324264834294.44523019018353.5547698099
2336432951189.878388584313139.1216114157
2342192819806.39098171452121.60901828546
2352583647247.3984898793-21411.3984898793
2362277929522.6548061803-6743.65480618033
2374082040262.8921413406557.10785865943
2382753031286.520383803-3756.52038380301
2393237833143.7956963339-765.7956963339
2401082431420.4656739043-20596.4656739043
2413961334693.61774446414919.38225553592
2426086573545.0181513756-12680.0181513756
2431978729135.3814608957-9348.3814608957
2442010727194.7002684155-7087.70026841548
2453660536550.696365454754.303634545338
2464096143449.0523948893-2488.05239488929
2474823151043.3813728089-2812.38137280886
2483972522518.497100543717206.5028994563
2492145532175.7440715537-10720.7440715537
2502343026740.5405459342-3310.54054593419
2516299147649.306425051115341.6935749489
2524936347053.37079679172309.62920320826
25396044096.149938225885507.85006177412
2542455231051.2794992233-6499.27949922334
2553149338295.6003329272-6802.60033292716
25634398283.53712262532-4844.53712262532
2571955521715.6434131468-2160.64341314684
2582122825118.5905621357-3890.59056213567
2592317714171.90565551159005.09434448854
2602209411662.479145052410431.5208549476
26123428529.91444159667-6187.91444159667
2623879829668.45018008949129.54981991059
26332555706.9608353177-2451.9608353177
2642426132584.2649174346-8323.2649174346
2651851129709.3883221344-11198.3883221344
2664079836863.22948334073934.77051665934
2672889342783.5100751148-13890.5100751148
2682142537538.3788009189-16113.3788009189
2695027633944.381770580416331.6182294196
2703764349607.182564617-11964.182564617
2713037746180.2105846269-15803.2105846269
2722712623868.00406198053257.99593801947
273131976.6121513986-1963.6121513986
2744209740784.74629686851312.25370313146
2752445122747.26821431471703.7317856853
2761433526106.1985344991-11771.1985344991
27750846213.27182935992-1129.27182935992
27899271582.734892716128344.26510728388
2794352740580.24403451062946.75596548939
2802718433081.0877198993-5897.0877198993
2812161032741.7864776756-11131.7864776756
2822048426711.5776377967-6227.57763779674
2832015636943.8295738633-16787.8295738633
28460124062.584486214091949.41551378591
2851847519018.5576851159-543.557685115893
2861264525978.5448691424-13333.5448691424
2871101717748.1699793922-6731.1699793922
2883762351585.9982981675-13962.9982981675
2893587328737.10916273827135.89083726178

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 146283 & 111662.226670635 & 34620.7733293653 \tabularnewline
2 & 98364 & 81599.9256764349 & 16764.0743235651 \tabularnewline
3 & 86146 & 92241.5732523364 & -6095.57325233635 \tabularnewline
4 & 96933 & 129385.959182964 & -32452.9591829644 \tabularnewline
5 & 79234 & 54342.1257702959 & 24891.8742297041 \tabularnewline
6 & 42551 & 34799.9834402386 & 7751.01655976142 \tabularnewline
7 & 195663 & 168293.820543668 & 27369.1794563323 \tabularnewline
8 & 6853 & 9301.12903694234 & -2448.12903694234 \tabularnewline
9 & 21529 & 28715.9616957062 & -7186.96169570621 \tabularnewline
10 & 95757 & 82731.8818994043 & 13025.1181005957 \tabularnewline
11 & 85584 & 77639.8508421496 & 7944.14915785044 \tabularnewline
12 & 143983 & 123222.854156529 & 20760.1458434705 \tabularnewline
13 & 75851 & 87662.8227880618 & -11811.8227880618 \tabularnewline
14 & 59238 & 65907.3651716083 & -6669.36517160829 \tabularnewline
15 & 93163 & 132346.560339712 & -39183.5603397117 \tabularnewline
16 & 96037 & 82868.0209143032 & 13168.9790856968 \tabularnewline
17 & 151511 & 171509.408285419 & -19998.4082854186 \tabularnewline
18 & 136368 & 128129.9369413 & 8238.06305870002 \tabularnewline
19 & 112642 & 105474.435797343 & 7167.56420265707 \tabularnewline
20 & 94728 & 106468.419136512 & -11740.4191365121 \tabularnewline
21 & 105499 & 123131.700229415 & -17632.7002294151 \tabularnewline
22 & 121527 & 116897.42940025 & 4629.5705997503 \tabularnewline
23 & 127766 & 123378.261912733 & 4387.73808726683 \tabularnewline
24 & 98958 & 63487.5086178417 & 35470.4913821583 \tabularnewline
25 & 77900 & 95905.6107419713 & -18005.6107419713 \tabularnewline
26 & 85646 & 125689.937536803 & -40043.9375368031 \tabularnewline
27 & 98579 & 103860.440736523 & -5281.44073652261 \tabularnewline
28 & 130767 & 117614.650840786 & 13152.349159214 \tabularnewline
29 & 131741 & 105035.914006443 & 26705.0859935571 \tabularnewline
30 & 53907 & 61389.5660288082 & -7482.56602880823 \tabularnewline
31 & 178812 & 106995.312240295 & 71816.6877597047 \tabularnewline
32 & 146761 & 114430.61939863 & 32330.3806013702 \tabularnewline
33 & 82036 & 113668.091875295 & -31632.0918752946 \tabularnewline
34 & 163253 & 126238.341333113 & 37014.6586668868 \tabularnewline
35 & 27032 & 37283.7268402909 & -10251.7268402909 \tabularnewline
36 & 171975 & 158135.862100464 & 13839.1378995362 \tabularnewline
37 & 65990 & 30392.4976670535 & 35597.5023329465 \tabularnewline
38 & 86572 & 86526.013197594 & 45.9868024060121 \tabularnewline
39 & 159676 & 115867.303781463 & 43808.6962185368 \tabularnewline
40 & 1929 & -3437.84706332334 & 5366.84706332334 \tabularnewline
41 & 85371 & 81747.5695939516 & 3623.43040604844 \tabularnewline
42 & 58391 & 36742.6521539773 & 21648.3478460227 \tabularnewline
43 & 31580 & 47312.7830827828 & -15732.7830827828 \tabularnewline
44 & 136815 & 133936.613458021 & 2878.38654197933 \tabularnewline
45 & 120642 & 128023.250830805 & -7381.25083080541 \tabularnewline
46 & 69107 & 81195.7467556208 & -12088.7467556208 \tabularnewline
47 & 50495 & 83514.3057212979 & -33019.3057212979 \tabularnewline
48 & 108016 & 71410.7982659309 & 36605.2017340691 \tabularnewline
49 & 46341 & 54714.2851010063 & -8373.28510100631 \tabularnewline
50 & 78348 & 79373.1713485338 & -1025.17134853384 \tabularnewline
51 & 79336 & 66027.8541228955 & 13308.1458771045 \tabularnewline
52 & 56968 & 33192.1193092046 & 23775.8806907954 \tabularnewline
53 & 93176 & 119061.223789011 & -25885.2237890109 \tabularnewline
54 & 161632 & 154063.342642708 & 7568.65735729154 \tabularnewline
55 & 87850 & 112961.257816346 & -25111.2578163459 \tabularnewline
56 & 127969 & 93858.6684214862 & 34110.3315785138 \tabularnewline
57 & 15049 & 8778.0738240246 & 6270.9261759754 \tabularnewline
58 & 155135 & 142218.556784176 & 12916.4432158237 \tabularnewline
59 & 25109 & 24334.3046418079 & 774.695358192095 \tabularnewline
60 & 45824 & 38453.2256047479 & 7370.77439525208 \tabularnewline
61 & 102996 & 108883.250669921 & -5887.25066992093 \tabularnewline
62 & 160604 & 124275.387198894 & 36328.612801106 \tabularnewline
63 & 158051 & 132092.873059288 & 25958.1269407122 \tabularnewline
64 & 44547 & 31727.6896427243 & 12819.3103572757 \tabularnewline
65 & 162647 & 175041.68090417 & -12394.6809041696 \tabularnewline
66 & 174141 & 157534.354107811 & 16606.6458921894 \tabularnewline
67 & 60622 & 73311.3704869236 & -12689.3704869236 \tabularnewline
68 & 179566 & 152034.298525665 & 27531.7014743355 \tabularnewline
69 & 184301 & 147696.184819655 & 36604.8151803445 \tabularnewline
70 & 75661 & 86029.5777769023 & -10368.5777769023 \tabularnewline
71 & 96144 & 102515.779637751 & -6371.77963775106 \tabularnewline
72 & 129847 & 96463.1875636493 & 33383.8124363507 \tabularnewline
73 & 117286 & 80785.9110970834 & 36500.0889029166 \tabularnewline
74 & 71180 & 99529.2226118065 & -28349.2226118065 \tabularnewline
75 & 109377 & 106243.474316092 & 3133.52568390792 \tabularnewline
76 & 85298 & 125535.888725466 & -40237.888725466 \tabularnewline
77 & 73631 & 73851.395636802 & -220.395636802014 \tabularnewline
78 & 86767 & 92336.5204694655 & -5569.52046946546 \tabularnewline
79 & 23824 & 34450.4401820237 & -10626.4401820237 \tabularnewline
80 & 93487 & 90080.2674933068 & 3406.73250669318 \tabularnewline
81 & 82981 & 101655.470360573 & -18674.4703605735 \tabularnewline
82 & 73815 & 107470.331894779 & -33655.3318947786 \tabularnewline
83 & 94552 & 113401.631888886 & -18849.6318888859 \tabularnewline
84 & 132190 & 123840.754063406 & 8349.24593659413 \tabularnewline
85 & 128754 & 64463.3398140793 & 64290.6601859207 \tabularnewline
86 & 66363 & 88307.5312273416 & -21944.5312273416 \tabularnewline
87 & 67808 & 82966.8644496526 & -15158.8644496526 \tabularnewline
88 & 61724 & 59527.6323594327 & 2196.36764056728 \tabularnewline
89 & 131722 & 131654.301126262 & 67.6988737377766 \tabularnewline
90 & 68580 & 57536.9605583008 & 11043.0394416992 \tabularnewline
91 & 106175 & 122738.771049959 & -16563.7710499595 \tabularnewline
92 & 55792 & 51896.4089384169 & 3895.59106158311 \tabularnewline
93 & 25157 & 43879.4848216022 & -18722.4848216022 \tabularnewline
94 & 76669 & 74773.47918026 & 1895.52081974002 \tabularnewline
95 & 57283 & 45790.6129572052 & 11492.3870427948 \tabularnewline
96 & 105805 & 85756.243929892 & 20048.756070108 \tabularnewline
97 & 129484 & 87654.0491363376 & 41829.9508636624 \tabularnewline
98 & 72413 & 146830.438761206 & -74417.4387612059 \tabularnewline
99 & 87831 & 87292.0912149848 & 538.90878501518 \tabularnewline
100 & 96971 & 139703.475898226 & -42732.4758982261 \tabularnewline
101 & 71299 & 60623.8133325219 & 10675.1866674781 \tabularnewline
102 & 77494 & 109976.209801194 & -32482.2098011944 \tabularnewline
103 & 120336 & 108945.070131917 & 11390.9298680827 \tabularnewline
104 & 93913 & 89234.8157898733 & 4678.18421012671 \tabularnewline
105 & 136048 & 118741.986371094 & 17306.0136289062 \tabularnewline
106 & 181248 & 155355.751019593 & 25892.2489804067 \tabularnewline
107 & 146123 & 138131.58395942 & 7991.41604058028 \tabularnewline
108 & 32036 & 41064.490536349 & -9028.49053634902 \tabularnewline
109 & 186646 & 203231.022730056 & -16585.0227300564 \tabularnewline
110 & 102255 & 99011.0528444583 & 3243.94715554171 \tabularnewline
111 & 168237 & 150898.195629137 & 17338.8043708627 \tabularnewline
112 & 64219 & 67554.7646095191 & -3335.76460951909 \tabularnewline
113 & 19630 & 37980.8310636307 & -18350.8310636307 \tabularnewline
114 & 76825 & 72096.740752054 & 4728.25924794598 \tabularnewline
115 & 115338 & 147186.965332437 & -31848.9653324372 \tabularnewline
116 & 109427 & 106100.507916683 & 3326.4920833168 \tabularnewline
117 & 118168 & 124857.237038752 & -6689.23703875248 \tabularnewline
118 & 84845 & 68409.7677339754 & 16435.2322660246 \tabularnewline
119 & 153197 & 53641.3274543484 & 99555.6725456516 \tabularnewline
120 & 29877 & 40736.7013274365 & -10859.7013274365 \tabularnewline
121 & 63506 & 64074.5208024174 & -568.520802417451 \tabularnewline
122 & 22445 & 36586.9104841731 & -14141.9104841731 \tabularnewline
123 & 47695 & 55512.6031916049 & -7817.6031916049 \tabularnewline
124 & 68370 & 65407.4574180361 & 2962.54258196393 \tabularnewline
125 & 146304 & 88053.8391384044 & 58250.1608615956 \tabularnewline
126 & 38233 & 21384.1688535945 & 16848.8311464055 \tabularnewline
127 & 42071 & 28411.0879189457 & 13659.9120810543 \tabularnewline
128 & 50517 & 63532.1595858007 & -13015.1595858007 \tabularnewline
129 & 103950 & 126189.71709016 & -22239.7170901596 \tabularnewline
130 & 5841 & 6678.49590594471 & -837.495905944712 \tabularnewline
131 & 2341 & 4179.60337538236 & -1838.60337538236 \tabularnewline
132 & 84396 & 102254.831658741 & -17858.8316587406 \tabularnewline
133 & 24610 & 22471.7025618276 & 2138.29743817242 \tabularnewline
134 & 35753 & 52104.9998269289 & -16351.9998269289 \tabularnewline
135 & 55515 & 89493.3936952839 & -33978.3936952839 \tabularnewline
136 & 209056 & 174216.865466937 & 34839.1345330632 \tabularnewline
137 & 6622 & 2277.6222736397 & 4344.3777263603 \tabularnewline
138 & 115814 & 86442.8844085407 & 29371.1155914593 \tabularnewline
139 & 11609 & 20537.3567161723 & -8928.35671617233 \tabularnewline
140 & 13155 & 29479.4719122634 & -16324.4719122634 \tabularnewline
141 & 18274 & 21408.6328681092 & -3134.63286810924 \tabularnewline
142 & 72875 & 72283.1349457111 & 591.86505428893 \tabularnewline
143 & 10112 & 22379.2031685634 & -12267.2031685634 \tabularnewline
144 & 142775 & 111499.800509431 & 31275.1994905695 \tabularnewline
145 & 68847 & 85933.1171241235 & -17086.1171241235 \tabularnewline
146 & 17659 & 30302.4723592814 & -12643.4723592814 \tabularnewline
147 & 20112 & 46148.2350268626 & -26036.2350268626 \tabularnewline
148 & 61023 & 69538.9657612595 & -8515.96576125948 \tabularnewline
149 & 13983 & 17086.8395171758 & -3103.83951717575 \tabularnewline
150 & 65176 & 64099.63438103 & 1076.36561896998 \tabularnewline
151 & 132432 & 133115.416256931 & -683.416256931415 \tabularnewline
152 & 112494 & 118602.410519787 & -6108.41051978738 \tabularnewline
153 & 45109 & 47402.1475872689 & -2293.14758726886 \tabularnewline
154 & 170875 & 156505.180019026 & 14369.8199809744 \tabularnewline
155 & 180759 & 130693.75339394 & 50065.2466060599 \tabularnewline
156 & 214921 & 193526.166432957 & 21394.8335670426 \tabularnewline
157 & 100226 & 77287.6738470825 & 22938.3261529175 \tabularnewline
158 & 32043 & 36784.3016227766 & -4741.30162277655 \tabularnewline
159 & 54454 & 48815.4042442379 & 5638.59575576207 \tabularnewline
160 & 78876 & 100416.097175159 & -21540.0971751593 \tabularnewline
161 & 170745 & 169371.775177965 & 1373.2248220353 \tabularnewline
162 & 6940 & 22501.1495478531 & -15561.1495478531 \tabularnewline
163 & 49025 & 59558.3710900157 & -10533.3710900157 \tabularnewline
164 & 122037 & 156154.609838726 & -34117.6098387262 \tabularnewline
165 & 53782 & 76716.4184825833 & -22934.4184825833 \tabularnewline
166 & 127748 & 106176.757744008 & 21571.2422559916 \tabularnewline
167 & 86839 & 101846.452709038 & -15007.4527090381 \tabularnewline
168 & 44830 & 70525.7516541018 & -25695.7516541018 \tabularnewline
169 & 77395 & 53679.8000074406 & 23715.1999925594 \tabularnewline
170 & 89324 & 64185.805667803 & 25138.194332197 \tabularnewline
171 & 103300 & 126555.9412855 & -23255.9412855001 \tabularnewline
172 & 112283 & 156584.895041409 & -44301.8950414089 \tabularnewline
173 & 10901 & 46657.7974286046 & -35756.7974286046 \tabularnewline
174 & 120691 & 129625.372760788 & -8934.37276078767 \tabularnewline
175 & 58106 & 86486.0769275929 & -28380.0769275929 \tabularnewline
176 & 57140 & 50689.0644663048 & 6450.9355336952 \tabularnewline
177 & 122422 & 126452.154710157 & -4030.15471015684 \tabularnewline
178 & 25899 & 28382.0173248528 & -2483.01732485284 \tabularnewline
179 & 139296 & 146504.848195146 & -7208.84819514593 \tabularnewline
180 & 52678 & 31187.5099375228 & 21490.4900624772 \tabularnewline
181 & 23853 & 33323.6537853786 & -9470.65378537856 \tabularnewline
182 & 17306 & 30964.8429845599 & -13658.8429845599 \tabularnewline
183 & 7953 & 13.6561508507293 & 7939.34384914927 \tabularnewline
184 & 89455 & 94061.5201616861 & -4606.52016168607 \tabularnewline
185 & 147866 & 143282.015169379 & 4583.98483062114 \tabularnewline
186 & 4245 & -75.698614604592 & 4320.69861460459 \tabularnewline
187 & 21509 & 15992.7405905896 & 5516.25940941039 \tabularnewline
188 & 7670 & -1908.17710628728 & 9578.17710628728 \tabularnewline
189 & 66675 & 57733.9624793428 & 8941.03752065721 \tabularnewline
190 & 14336 & 34673.5907299287 & -20337.5907299287 \tabularnewline
191 & 53608 & 62014.746435118 & -8406.74643511803 \tabularnewline
192 & 30059 & 33350.5007149626 & -3291.50071496257 \tabularnewline
193 & 29668 & 33932.8201269826 & -4264.82012698256 \tabularnewline
194 & 22097 & 6856.60809399523 & 15240.3919060048 \tabularnewline
195 & 96841 & 73912.0921193398 & 22928.9078806602 \tabularnewline
196 & 41907 & 68831.6187903729 & -26924.6187903729 \tabularnewline
197 & 27080 & 33712.2821042489 & -6632.28210424892 \tabularnewline
198 & 35885 & 43081.1790956394 & -7196.17909563937 \tabularnewline
199 & 41247 & 63126.1832190458 & -21879.1832190458 \tabularnewline
200 & 28313 & 62166.436702244 & -33853.436702244 \tabularnewline
201 & 36845 & 37997.391680424 & -1152.39168042401 \tabularnewline
202 & 16548 & 26659.6223516004 & -10111.6223516004 \tabularnewline
203 & 36134 & 43681.3347564197 & -7547.33475641966 \tabularnewline
204 & 55764 & 30943.131396881 & 24820.868603119 \tabularnewline
205 & 28910 & 41914.8022664061 & -13004.8022664061 \tabularnewline
206 & 13339 & 19585.440981833 & -6246.44098183303 \tabularnewline
207 & 25319 & 32164.3374053782 & -6845.33740537818 \tabularnewline
208 & 66956 & 56054.2529553117 & 10901.7470446883 \tabularnewline
209 & 47487 & 49397.5625679206 & -1910.56256792063 \tabularnewline
210 & 52785 & 50656.0512713909 & 2128.9487286091 \tabularnewline
211 & 44683 & 27441.0655305728 & 17241.9344694272 \tabularnewline
212 & 35619 & 42391.5423407265 & -6772.54234072655 \tabularnewline
213 & 21920 & 23947.8510290717 & -2027.85102907174 \tabularnewline
214 & 45608 & 29005.6355944798 & 16602.3644055202 \tabularnewline
215 & 7721 & 26579.1877945299 & -18858.1877945299 \tabularnewline
216 & 20634 & 21517.4761155587 & -883.476115558681 \tabularnewline
217 & 29788 & 31057.3383001409 & -1269.33830014089 \tabularnewline
218 & 31931 & 13553.5408021927 & 18377.4591978073 \tabularnewline
219 & 37754 & 26526.0326022563 & 11227.9673977437 \tabularnewline
220 & 32505 & 16111.5742005092 & 16393.4257994908 \tabularnewline
221 & 40557 & 40977.1797570837 & -420.179757083688 \tabularnewline
222 & 94238 & 42277.8110894863 & 51960.1889105137 \tabularnewline
223 & 44197 & 63029.0714895686 & -18832.0714895686 \tabularnewline
224 & 43228 & 29726.4092645413 & 13501.5907354587 \tabularnewline
225 & 4103 & 9279.62315006949 & -5176.62315006949 \tabularnewline
226 & 44144 & 58622.3988168084 & -14478.3988168084 \tabularnewline
227 & 32868 & 23961.6576618925 & 8906.34233810752 \tabularnewline
228 & 27640 & 63246.5856979667 & -35606.5856979667 \tabularnewline
229 & 14063 & 40155.8819562792 & -26092.8819562792 \tabularnewline
230 & 28990 & 40510.4104351452 & -11520.4104351452 \tabularnewline
231 & 4694 & 7488.77375847473 & -2794.77375847473 \tabularnewline
232 & 42648 & 34294.4452301901 & 8353.5547698099 \tabularnewline
233 & 64329 & 51189.8783885843 & 13139.1216114157 \tabularnewline
234 & 21928 & 19806.3909817145 & 2121.60901828546 \tabularnewline
235 & 25836 & 47247.3984898793 & -21411.3984898793 \tabularnewline
236 & 22779 & 29522.6548061803 & -6743.65480618033 \tabularnewline
237 & 40820 & 40262.8921413406 & 557.10785865943 \tabularnewline
238 & 27530 & 31286.520383803 & -3756.52038380301 \tabularnewline
239 & 32378 & 33143.7956963339 & -765.7956963339 \tabularnewline
240 & 10824 & 31420.4656739043 & -20596.4656739043 \tabularnewline
241 & 39613 & 34693.6177444641 & 4919.38225553592 \tabularnewline
242 & 60865 & 73545.0181513756 & -12680.0181513756 \tabularnewline
243 & 19787 & 29135.3814608957 & -9348.3814608957 \tabularnewline
244 & 20107 & 27194.7002684155 & -7087.70026841548 \tabularnewline
245 & 36605 & 36550.6963654547 & 54.303634545338 \tabularnewline
246 & 40961 & 43449.0523948893 & -2488.05239488929 \tabularnewline
247 & 48231 & 51043.3813728089 & -2812.38137280886 \tabularnewline
248 & 39725 & 22518.4971005437 & 17206.5028994563 \tabularnewline
249 & 21455 & 32175.7440715537 & -10720.7440715537 \tabularnewline
250 & 23430 & 26740.5405459342 & -3310.54054593419 \tabularnewline
251 & 62991 & 47649.3064250511 & 15341.6935749489 \tabularnewline
252 & 49363 & 47053.3707967917 & 2309.62920320826 \tabularnewline
253 & 9604 & 4096.14993822588 & 5507.85006177412 \tabularnewline
254 & 24552 & 31051.2794992233 & -6499.27949922334 \tabularnewline
255 & 31493 & 38295.6003329272 & -6802.60033292716 \tabularnewline
256 & 3439 & 8283.53712262532 & -4844.53712262532 \tabularnewline
257 & 19555 & 21715.6434131468 & -2160.64341314684 \tabularnewline
258 & 21228 & 25118.5905621357 & -3890.59056213567 \tabularnewline
259 & 23177 & 14171.9056555115 & 9005.09434448854 \tabularnewline
260 & 22094 & 11662.4791450524 & 10431.5208549476 \tabularnewline
261 & 2342 & 8529.91444159667 & -6187.91444159667 \tabularnewline
262 & 38798 & 29668.4501800894 & 9129.54981991059 \tabularnewline
263 & 3255 & 5706.9608353177 & -2451.9608353177 \tabularnewline
264 & 24261 & 32584.2649174346 & -8323.2649174346 \tabularnewline
265 & 18511 & 29709.3883221344 & -11198.3883221344 \tabularnewline
266 & 40798 & 36863.2294833407 & 3934.77051665934 \tabularnewline
267 & 28893 & 42783.5100751148 & -13890.5100751148 \tabularnewline
268 & 21425 & 37538.3788009189 & -16113.3788009189 \tabularnewline
269 & 50276 & 33944.3817705804 & 16331.6182294196 \tabularnewline
270 & 37643 & 49607.182564617 & -11964.182564617 \tabularnewline
271 & 30377 & 46180.2105846269 & -15803.2105846269 \tabularnewline
272 & 27126 & 23868.0040619805 & 3257.99593801947 \tabularnewline
273 & 13 & 1976.6121513986 & -1963.6121513986 \tabularnewline
274 & 42097 & 40784.7462968685 & 1312.25370313146 \tabularnewline
275 & 24451 & 22747.2682143147 & 1703.7317856853 \tabularnewline
276 & 14335 & 26106.1985344991 & -11771.1985344991 \tabularnewline
277 & 5084 & 6213.27182935992 & -1129.27182935992 \tabularnewline
278 & 9927 & 1582.73489271612 & 8344.26510728388 \tabularnewline
279 & 43527 & 40580.2440345106 & 2946.75596548939 \tabularnewline
280 & 27184 & 33081.0877198993 & -5897.0877198993 \tabularnewline
281 & 21610 & 32741.7864776756 & -11131.7864776756 \tabularnewline
282 & 20484 & 26711.5776377967 & -6227.57763779674 \tabularnewline
283 & 20156 & 36943.8295738633 & -16787.8295738633 \tabularnewline
284 & 6012 & 4062.58448621409 & 1949.41551378591 \tabularnewline
285 & 18475 & 19018.5576851159 & -543.557685115893 \tabularnewline
286 & 12645 & 25978.5448691424 & -13333.5448691424 \tabularnewline
287 & 11017 & 17748.1699793922 & -6731.1699793922 \tabularnewline
288 & 37623 & 51585.9982981675 & -13962.9982981675 \tabularnewline
289 & 35873 & 28737.1091627382 & 7135.89083726178 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160395&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]146283[/C][C]111662.226670635[/C][C]34620.7733293653[/C][/ROW]
[ROW][C]2[/C][C]98364[/C][C]81599.9256764349[/C][C]16764.0743235651[/C][/ROW]
[ROW][C]3[/C][C]86146[/C][C]92241.5732523364[/C][C]-6095.57325233635[/C][/ROW]
[ROW][C]4[/C][C]96933[/C][C]129385.959182964[/C][C]-32452.9591829644[/C][/ROW]
[ROW][C]5[/C][C]79234[/C][C]54342.1257702959[/C][C]24891.8742297041[/C][/ROW]
[ROW][C]6[/C][C]42551[/C][C]34799.9834402386[/C][C]7751.01655976142[/C][/ROW]
[ROW][C]7[/C][C]195663[/C][C]168293.820543668[/C][C]27369.1794563323[/C][/ROW]
[ROW][C]8[/C][C]6853[/C][C]9301.12903694234[/C][C]-2448.12903694234[/C][/ROW]
[ROW][C]9[/C][C]21529[/C][C]28715.9616957062[/C][C]-7186.96169570621[/C][/ROW]
[ROW][C]10[/C][C]95757[/C][C]82731.8818994043[/C][C]13025.1181005957[/C][/ROW]
[ROW][C]11[/C][C]85584[/C][C]77639.8508421496[/C][C]7944.14915785044[/C][/ROW]
[ROW][C]12[/C][C]143983[/C][C]123222.854156529[/C][C]20760.1458434705[/C][/ROW]
[ROW][C]13[/C][C]75851[/C][C]87662.8227880618[/C][C]-11811.8227880618[/C][/ROW]
[ROW][C]14[/C][C]59238[/C][C]65907.3651716083[/C][C]-6669.36517160829[/C][/ROW]
[ROW][C]15[/C][C]93163[/C][C]132346.560339712[/C][C]-39183.5603397117[/C][/ROW]
[ROW][C]16[/C][C]96037[/C][C]82868.0209143032[/C][C]13168.9790856968[/C][/ROW]
[ROW][C]17[/C][C]151511[/C][C]171509.408285419[/C][C]-19998.4082854186[/C][/ROW]
[ROW][C]18[/C][C]136368[/C][C]128129.9369413[/C][C]8238.06305870002[/C][/ROW]
[ROW][C]19[/C][C]112642[/C][C]105474.435797343[/C][C]7167.56420265707[/C][/ROW]
[ROW][C]20[/C][C]94728[/C][C]106468.419136512[/C][C]-11740.4191365121[/C][/ROW]
[ROW][C]21[/C][C]105499[/C][C]123131.700229415[/C][C]-17632.7002294151[/C][/ROW]
[ROW][C]22[/C][C]121527[/C][C]116897.42940025[/C][C]4629.5705997503[/C][/ROW]
[ROW][C]23[/C][C]127766[/C][C]123378.261912733[/C][C]4387.73808726683[/C][/ROW]
[ROW][C]24[/C][C]98958[/C][C]63487.5086178417[/C][C]35470.4913821583[/C][/ROW]
[ROW][C]25[/C][C]77900[/C][C]95905.6107419713[/C][C]-18005.6107419713[/C][/ROW]
[ROW][C]26[/C][C]85646[/C][C]125689.937536803[/C][C]-40043.9375368031[/C][/ROW]
[ROW][C]27[/C][C]98579[/C][C]103860.440736523[/C][C]-5281.44073652261[/C][/ROW]
[ROW][C]28[/C][C]130767[/C][C]117614.650840786[/C][C]13152.349159214[/C][/ROW]
[ROW][C]29[/C][C]131741[/C][C]105035.914006443[/C][C]26705.0859935571[/C][/ROW]
[ROW][C]30[/C][C]53907[/C][C]61389.5660288082[/C][C]-7482.56602880823[/C][/ROW]
[ROW][C]31[/C][C]178812[/C][C]106995.312240295[/C][C]71816.6877597047[/C][/ROW]
[ROW][C]32[/C][C]146761[/C][C]114430.61939863[/C][C]32330.3806013702[/C][/ROW]
[ROW][C]33[/C][C]82036[/C][C]113668.091875295[/C][C]-31632.0918752946[/C][/ROW]
[ROW][C]34[/C][C]163253[/C][C]126238.341333113[/C][C]37014.6586668868[/C][/ROW]
[ROW][C]35[/C][C]27032[/C][C]37283.7268402909[/C][C]-10251.7268402909[/C][/ROW]
[ROW][C]36[/C][C]171975[/C][C]158135.862100464[/C][C]13839.1378995362[/C][/ROW]
[ROW][C]37[/C][C]65990[/C][C]30392.4976670535[/C][C]35597.5023329465[/C][/ROW]
[ROW][C]38[/C][C]86572[/C][C]86526.013197594[/C][C]45.9868024060121[/C][/ROW]
[ROW][C]39[/C][C]159676[/C][C]115867.303781463[/C][C]43808.6962185368[/C][/ROW]
[ROW][C]40[/C][C]1929[/C][C]-3437.84706332334[/C][C]5366.84706332334[/C][/ROW]
[ROW][C]41[/C][C]85371[/C][C]81747.5695939516[/C][C]3623.43040604844[/C][/ROW]
[ROW][C]42[/C][C]58391[/C][C]36742.6521539773[/C][C]21648.3478460227[/C][/ROW]
[ROW][C]43[/C][C]31580[/C][C]47312.7830827828[/C][C]-15732.7830827828[/C][/ROW]
[ROW][C]44[/C][C]136815[/C][C]133936.613458021[/C][C]2878.38654197933[/C][/ROW]
[ROW][C]45[/C][C]120642[/C][C]128023.250830805[/C][C]-7381.25083080541[/C][/ROW]
[ROW][C]46[/C][C]69107[/C][C]81195.7467556208[/C][C]-12088.7467556208[/C][/ROW]
[ROW][C]47[/C][C]50495[/C][C]83514.3057212979[/C][C]-33019.3057212979[/C][/ROW]
[ROW][C]48[/C][C]108016[/C][C]71410.7982659309[/C][C]36605.2017340691[/C][/ROW]
[ROW][C]49[/C][C]46341[/C][C]54714.2851010063[/C][C]-8373.28510100631[/C][/ROW]
[ROW][C]50[/C][C]78348[/C][C]79373.1713485338[/C][C]-1025.17134853384[/C][/ROW]
[ROW][C]51[/C][C]79336[/C][C]66027.8541228955[/C][C]13308.1458771045[/C][/ROW]
[ROW][C]52[/C][C]56968[/C][C]33192.1193092046[/C][C]23775.8806907954[/C][/ROW]
[ROW][C]53[/C][C]93176[/C][C]119061.223789011[/C][C]-25885.2237890109[/C][/ROW]
[ROW][C]54[/C][C]161632[/C][C]154063.342642708[/C][C]7568.65735729154[/C][/ROW]
[ROW][C]55[/C][C]87850[/C][C]112961.257816346[/C][C]-25111.2578163459[/C][/ROW]
[ROW][C]56[/C][C]127969[/C][C]93858.6684214862[/C][C]34110.3315785138[/C][/ROW]
[ROW][C]57[/C][C]15049[/C][C]8778.0738240246[/C][C]6270.9261759754[/C][/ROW]
[ROW][C]58[/C][C]155135[/C][C]142218.556784176[/C][C]12916.4432158237[/C][/ROW]
[ROW][C]59[/C][C]25109[/C][C]24334.3046418079[/C][C]774.695358192095[/C][/ROW]
[ROW][C]60[/C][C]45824[/C][C]38453.2256047479[/C][C]7370.77439525208[/C][/ROW]
[ROW][C]61[/C][C]102996[/C][C]108883.250669921[/C][C]-5887.25066992093[/C][/ROW]
[ROW][C]62[/C][C]160604[/C][C]124275.387198894[/C][C]36328.612801106[/C][/ROW]
[ROW][C]63[/C][C]158051[/C][C]132092.873059288[/C][C]25958.1269407122[/C][/ROW]
[ROW][C]64[/C][C]44547[/C][C]31727.6896427243[/C][C]12819.3103572757[/C][/ROW]
[ROW][C]65[/C][C]162647[/C][C]175041.68090417[/C][C]-12394.6809041696[/C][/ROW]
[ROW][C]66[/C][C]174141[/C][C]157534.354107811[/C][C]16606.6458921894[/C][/ROW]
[ROW][C]67[/C][C]60622[/C][C]73311.3704869236[/C][C]-12689.3704869236[/C][/ROW]
[ROW][C]68[/C][C]179566[/C][C]152034.298525665[/C][C]27531.7014743355[/C][/ROW]
[ROW][C]69[/C][C]184301[/C][C]147696.184819655[/C][C]36604.8151803445[/C][/ROW]
[ROW][C]70[/C][C]75661[/C][C]86029.5777769023[/C][C]-10368.5777769023[/C][/ROW]
[ROW][C]71[/C][C]96144[/C][C]102515.779637751[/C][C]-6371.77963775106[/C][/ROW]
[ROW][C]72[/C][C]129847[/C][C]96463.1875636493[/C][C]33383.8124363507[/C][/ROW]
[ROW][C]73[/C][C]117286[/C][C]80785.9110970834[/C][C]36500.0889029166[/C][/ROW]
[ROW][C]74[/C][C]71180[/C][C]99529.2226118065[/C][C]-28349.2226118065[/C][/ROW]
[ROW][C]75[/C][C]109377[/C][C]106243.474316092[/C][C]3133.52568390792[/C][/ROW]
[ROW][C]76[/C][C]85298[/C][C]125535.888725466[/C][C]-40237.888725466[/C][/ROW]
[ROW][C]77[/C][C]73631[/C][C]73851.395636802[/C][C]-220.395636802014[/C][/ROW]
[ROW][C]78[/C][C]86767[/C][C]92336.5204694655[/C][C]-5569.52046946546[/C][/ROW]
[ROW][C]79[/C][C]23824[/C][C]34450.4401820237[/C][C]-10626.4401820237[/C][/ROW]
[ROW][C]80[/C][C]93487[/C][C]90080.2674933068[/C][C]3406.73250669318[/C][/ROW]
[ROW][C]81[/C][C]82981[/C][C]101655.470360573[/C][C]-18674.4703605735[/C][/ROW]
[ROW][C]82[/C][C]73815[/C][C]107470.331894779[/C][C]-33655.3318947786[/C][/ROW]
[ROW][C]83[/C][C]94552[/C][C]113401.631888886[/C][C]-18849.6318888859[/C][/ROW]
[ROW][C]84[/C][C]132190[/C][C]123840.754063406[/C][C]8349.24593659413[/C][/ROW]
[ROW][C]85[/C][C]128754[/C][C]64463.3398140793[/C][C]64290.6601859207[/C][/ROW]
[ROW][C]86[/C][C]66363[/C][C]88307.5312273416[/C][C]-21944.5312273416[/C][/ROW]
[ROW][C]87[/C][C]67808[/C][C]82966.8644496526[/C][C]-15158.8644496526[/C][/ROW]
[ROW][C]88[/C][C]61724[/C][C]59527.6323594327[/C][C]2196.36764056728[/C][/ROW]
[ROW][C]89[/C][C]131722[/C][C]131654.301126262[/C][C]67.6988737377766[/C][/ROW]
[ROW][C]90[/C][C]68580[/C][C]57536.9605583008[/C][C]11043.0394416992[/C][/ROW]
[ROW][C]91[/C][C]106175[/C][C]122738.771049959[/C][C]-16563.7710499595[/C][/ROW]
[ROW][C]92[/C][C]55792[/C][C]51896.4089384169[/C][C]3895.59106158311[/C][/ROW]
[ROW][C]93[/C][C]25157[/C][C]43879.4848216022[/C][C]-18722.4848216022[/C][/ROW]
[ROW][C]94[/C][C]76669[/C][C]74773.47918026[/C][C]1895.52081974002[/C][/ROW]
[ROW][C]95[/C][C]57283[/C][C]45790.6129572052[/C][C]11492.3870427948[/C][/ROW]
[ROW][C]96[/C][C]105805[/C][C]85756.243929892[/C][C]20048.756070108[/C][/ROW]
[ROW][C]97[/C][C]129484[/C][C]87654.0491363376[/C][C]41829.9508636624[/C][/ROW]
[ROW][C]98[/C][C]72413[/C][C]146830.438761206[/C][C]-74417.4387612059[/C][/ROW]
[ROW][C]99[/C][C]87831[/C][C]87292.0912149848[/C][C]538.90878501518[/C][/ROW]
[ROW][C]100[/C][C]96971[/C][C]139703.475898226[/C][C]-42732.4758982261[/C][/ROW]
[ROW][C]101[/C][C]71299[/C][C]60623.8133325219[/C][C]10675.1866674781[/C][/ROW]
[ROW][C]102[/C][C]77494[/C][C]109976.209801194[/C][C]-32482.2098011944[/C][/ROW]
[ROW][C]103[/C][C]120336[/C][C]108945.070131917[/C][C]11390.9298680827[/C][/ROW]
[ROW][C]104[/C][C]93913[/C][C]89234.8157898733[/C][C]4678.18421012671[/C][/ROW]
[ROW][C]105[/C][C]136048[/C][C]118741.986371094[/C][C]17306.0136289062[/C][/ROW]
[ROW][C]106[/C][C]181248[/C][C]155355.751019593[/C][C]25892.2489804067[/C][/ROW]
[ROW][C]107[/C][C]146123[/C][C]138131.58395942[/C][C]7991.41604058028[/C][/ROW]
[ROW][C]108[/C][C]32036[/C][C]41064.490536349[/C][C]-9028.49053634902[/C][/ROW]
[ROW][C]109[/C][C]186646[/C][C]203231.022730056[/C][C]-16585.0227300564[/C][/ROW]
[ROW][C]110[/C][C]102255[/C][C]99011.0528444583[/C][C]3243.94715554171[/C][/ROW]
[ROW][C]111[/C][C]168237[/C][C]150898.195629137[/C][C]17338.8043708627[/C][/ROW]
[ROW][C]112[/C][C]64219[/C][C]67554.7646095191[/C][C]-3335.76460951909[/C][/ROW]
[ROW][C]113[/C][C]19630[/C][C]37980.8310636307[/C][C]-18350.8310636307[/C][/ROW]
[ROW][C]114[/C][C]76825[/C][C]72096.740752054[/C][C]4728.25924794598[/C][/ROW]
[ROW][C]115[/C][C]115338[/C][C]147186.965332437[/C][C]-31848.9653324372[/C][/ROW]
[ROW][C]116[/C][C]109427[/C][C]106100.507916683[/C][C]3326.4920833168[/C][/ROW]
[ROW][C]117[/C][C]118168[/C][C]124857.237038752[/C][C]-6689.23703875248[/C][/ROW]
[ROW][C]118[/C][C]84845[/C][C]68409.7677339754[/C][C]16435.2322660246[/C][/ROW]
[ROW][C]119[/C][C]153197[/C][C]53641.3274543484[/C][C]99555.6725456516[/C][/ROW]
[ROW][C]120[/C][C]29877[/C][C]40736.7013274365[/C][C]-10859.7013274365[/C][/ROW]
[ROW][C]121[/C][C]63506[/C][C]64074.5208024174[/C][C]-568.520802417451[/C][/ROW]
[ROW][C]122[/C][C]22445[/C][C]36586.9104841731[/C][C]-14141.9104841731[/C][/ROW]
[ROW][C]123[/C][C]47695[/C][C]55512.6031916049[/C][C]-7817.6031916049[/C][/ROW]
[ROW][C]124[/C][C]68370[/C][C]65407.4574180361[/C][C]2962.54258196393[/C][/ROW]
[ROW][C]125[/C][C]146304[/C][C]88053.8391384044[/C][C]58250.1608615956[/C][/ROW]
[ROW][C]126[/C][C]38233[/C][C]21384.1688535945[/C][C]16848.8311464055[/C][/ROW]
[ROW][C]127[/C][C]42071[/C][C]28411.0879189457[/C][C]13659.9120810543[/C][/ROW]
[ROW][C]128[/C][C]50517[/C][C]63532.1595858007[/C][C]-13015.1595858007[/C][/ROW]
[ROW][C]129[/C][C]103950[/C][C]126189.71709016[/C][C]-22239.7170901596[/C][/ROW]
[ROW][C]130[/C][C]5841[/C][C]6678.49590594471[/C][C]-837.495905944712[/C][/ROW]
[ROW][C]131[/C][C]2341[/C][C]4179.60337538236[/C][C]-1838.60337538236[/C][/ROW]
[ROW][C]132[/C][C]84396[/C][C]102254.831658741[/C][C]-17858.8316587406[/C][/ROW]
[ROW][C]133[/C][C]24610[/C][C]22471.7025618276[/C][C]2138.29743817242[/C][/ROW]
[ROW][C]134[/C][C]35753[/C][C]52104.9998269289[/C][C]-16351.9998269289[/C][/ROW]
[ROW][C]135[/C][C]55515[/C][C]89493.3936952839[/C][C]-33978.3936952839[/C][/ROW]
[ROW][C]136[/C][C]209056[/C][C]174216.865466937[/C][C]34839.1345330632[/C][/ROW]
[ROW][C]137[/C][C]6622[/C][C]2277.6222736397[/C][C]4344.3777263603[/C][/ROW]
[ROW][C]138[/C][C]115814[/C][C]86442.8844085407[/C][C]29371.1155914593[/C][/ROW]
[ROW][C]139[/C][C]11609[/C][C]20537.3567161723[/C][C]-8928.35671617233[/C][/ROW]
[ROW][C]140[/C][C]13155[/C][C]29479.4719122634[/C][C]-16324.4719122634[/C][/ROW]
[ROW][C]141[/C][C]18274[/C][C]21408.6328681092[/C][C]-3134.63286810924[/C][/ROW]
[ROW][C]142[/C][C]72875[/C][C]72283.1349457111[/C][C]591.86505428893[/C][/ROW]
[ROW][C]143[/C][C]10112[/C][C]22379.2031685634[/C][C]-12267.2031685634[/C][/ROW]
[ROW][C]144[/C][C]142775[/C][C]111499.800509431[/C][C]31275.1994905695[/C][/ROW]
[ROW][C]145[/C][C]68847[/C][C]85933.1171241235[/C][C]-17086.1171241235[/C][/ROW]
[ROW][C]146[/C][C]17659[/C][C]30302.4723592814[/C][C]-12643.4723592814[/C][/ROW]
[ROW][C]147[/C][C]20112[/C][C]46148.2350268626[/C][C]-26036.2350268626[/C][/ROW]
[ROW][C]148[/C][C]61023[/C][C]69538.9657612595[/C][C]-8515.96576125948[/C][/ROW]
[ROW][C]149[/C][C]13983[/C][C]17086.8395171758[/C][C]-3103.83951717575[/C][/ROW]
[ROW][C]150[/C][C]65176[/C][C]64099.63438103[/C][C]1076.36561896998[/C][/ROW]
[ROW][C]151[/C][C]132432[/C][C]133115.416256931[/C][C]-683.416256931415[/C][/ROW]
[ROW][C]152[/C][C]112494[/C][C]118602.410519787[/C][C]-6108.41051978738[/C][/ROW]
[ROW][C]153[/C][C]45109[/C][C]47402.1475872689[/C][C]-2293.14758726886[/C][/ROW]
[ROW][C]154[/C][C]170875[/C][C]156505.180019026[/C][C]14369.8199809744[/C][/ROW]
[ROW][C]155[/C][C]180759[/C][C]130693.75339394[/C][C]50065.2466060599[/C][/ROW]
[ROW][C]156[/C][C]214921[/C][C]193526.166432957[/C][C]21394.8335670426[/C][/ROW]
[ROW][C]157[/C][C]100226[/C][C]77287.6738470825[/C][C]22938.3261529175[/C][/ROW]
[ROW][C]158[/C][C]32043[/C][C]36784.3016227766[/C][C]-4741.30162277655[/C][/ROW]
[ROW][C]159[/C][C]54454[/C][C]48815.4042442379[/C][C]5638.59575576207[/C][/ROW]
[ROW][C]160[/C][C]78876[/C][C]100416.097175159[/C][C]-21540.0971751593[/C][/ROW]
[ROW][C]161[/C][C]170745[/C][C]169371.775177965[/C][C]1373.2248220353[/C][/ROW]
[ROW][C]162[/C][C]6940[/C][C]22501.1495478531[/C][C]-15561.1495478531[/C][/ROW]
[ROW][C]163[/C][C]49025[/C][C]59558.3710900157[/C][C]-10533.3710900157[/C][/ROW]
[ROW][C]164[/C][C]122037[/C][C]156154.609838726[/C][C]-34117.6098387262[/C][/ROW]
[ROW][C]165[/C][C]53782[/C][C]76716.4184825833[/C][C]-22934.4184825833[/C][/ROW]
[ROW][C]166[/C][C]127748[/C][C]106176.757744008[/C][C]21571.2422559916[/C][/ROW]
[ROW][C]167[/C][C]86839[/C][C]101846.452709038[/C][C]-15007.4527090381[/C][/ROW]
[ROW][C]168[/C][C]44830[/C][C]70525.7516541018[/C][C]-25695.7516541018[/C][/ROW]
[ROW][C]169[/C][C]77395[/C][C]53679.8000074406[/C][C]23715.1999925594[/C][/ROW]
[ROW][C]170[/C][C]89324[/C][C]64185.805667803[/C][C]25138.194332197[/C][/ROW]
[ROW][C]171[/C][C]103300[/C][C]126555.9412855[/C][C]-23255.9412855001[/C][/ROW]
[ROW][C]172[/C][C]112283[/C][C]156584.895041409[/C][C]-44301.8950414089[/C][/ROW]
[ROW][C]173[/C][C]10901[/C][C]46657.7974286046[/C][C]-35756.7974286046[/C][/ROW]
[ROW][C]174[/C][C]120691[/C][C]129625.372760788[/C][C]-8934.37276078767[/C][/ROW]
[ROW][C]175[/C][C]58106[/C][C]86486.0769275929[/C][C]-28380.0769275929[/C][/ROW]
[ROW][C]176[/C][C]57140[/C][C]50689.0644663048[/C][C]6450.9355336952[/C][/ROW]
[ROW][C]177[/C][C]122422[/C][C]126452.154710157[/C][C]-4030.15471015684[/C][/ROW]
[ROW][C]178[/C][C]25899[/C][C]28382.0173248528[/C][C]-2483.01732485284[/C][/ROW]
[ROW][C]179[/C][C]139296[/C][C]146504.848195146[/C][C]-7208.84819514593[/C][/ROW]
[ROW][C]180[/C][C]52678[/C][C]31187.5099375228[/C][C]21490.4900624772[/C][/ROW]
[ROW][C]181[/C][C]23853[/C][C]33323.6537853786[/C][C]-9470.65378537856[/C][/ROW]
[ROW][C]182[/C][C]17306[/C][C]30964.8429845599[/C][C]-13658.8429845599[/C][/ROW]
[ROW][C]183[/C][C]7953[/C][C]13.6561508507293[/C][C]7939.34384914927[/C][/ROW]
[ROW][C]184[/C][C]89455[/C][C]94061.5201616861[/C][C]-4606.52016168607[/C][/ROW]
[ROW][C]185[/C][C]147866[/C][C]143282.015169379[/C][C]4583.98483062114[/C][/ROW]
[ROW][C]186[/C][C]4245[/C][C]-75.698614604592[/C][C]4320.69861460459[/C][/ROW]
[ROW][C]187[/C][C]21509[/C][C]15992.7405905896[/C][C]5516.25940941039[/C][/ROW]
[ROW][C]188[/C][C]7670[/C][C]-1908.17710628728[/C][C]9578.17710628728[/C][/ROW]
[ROW][C]189[/C][C]66675[/C][C]57733.9624793428[/C][C]8941.03752065721[/C][/ROW]
[ROW][C]190[/C][C]14336[/C][C]34673.5907299287[/C][C]-20337.5907299287[/C][/ROW]
[ROW][C]191[/C][C]53608[/C][C]62014.746435118[/C][C]-8406.74643511803[/C][/ROW]
[ROW][C]192[/C][C]30059[/C][C]33350.5007149626[/C][C]-3291.50071496257[/C][/ROW]
[ROW][C]193[/C][C]29668[/C][C]33932.8201269826[/C][C]-4264.82012698256[/C][/ROW]
[ROW][C]194[/C][C]22097[/C][C]6856.60809399523[/C][C]15240.3919060048[/C][/ROW]
[ROW][C]195[/C][C]96841[/C][C]73912.0921193398[/C][C]22928.9078806602[/C][/ROW]
[ROW][C]196[/C][C]41907[/C][C]68831.6187903729[/C][C]-26924.6187903729[/C][/ROW]
[ROW][C]197[/C][C]27080[/C][C]33712.2821042489[/C][C]-6632.28210424892[/C][/ROW]
[ROW][C]198[/C][C]35885[/C][C]43081.1790956394[/C][C]-7196.17909563937[/C][/ROW]
[ROW][C]199[/C][C]41247[/C][C]63126.1832190458[/C][C]-21879.1832190458[/C][/ROW]
[ROW][C]200[/C][C]28313[/C][C]62166.436702244[/C][C]-33853.436702244[/C][/ROW]
[ROW][C]201[/C][C]36845[/C][C]37997.391680424[/C][C]-1152.39168042401[/C][/ROW]
[ROW][C]202[/C][C]16548[/C][C]26659.6223516004[/C][C]-10111.6223516004[/C][/ROW]
[ROW][C]203[/C][C]36134[/C][C]43681.3347564197[/C][C]-7547.33475641966[/C][/ROW]
[ROW][C]204[/C][C]55764[/C][C]30943.131396881[/C][C]24820.868603119[/C][/ROW]
[ROW][C]205[/C][C]28910[/C][C]41914.8022664061[/C][C]-13004.8022664061[/C][/ROW]
[ROW][C]206[/C][C]13339[/C][C]19585.440981833[/C][C]-6246.44098183303[/C][/ROW]
[ROW][C]207[/C][C]25319[/C][C]32164.3374053782[/C][C]-6845.33740537818[/C][/ROW]
[ROW][C]208[/C][C]66956[/C][C]56054.2529553117[/C][C]10901.7470446883[/C][/ROW]
[ROW][C]209[/C][C]47487[/C][C]49397.5625679206[/C][C]-1910.56256792063[/C][/ROW]
[ROW][C]210[/C][C]52785[/C][C]50656.0512713909[/C][C]2128.9487286091[/C][/ROW]
[ROW][C]211[/C][C]44683[/C][C]27441.0655305728[/C][C]17241.9344694272[/C][/ROW]
[ROW][C]212[/C][C]35619[/C][C]42391.5423407265[/C][C]-6772.54234072655[/C][/ROW]
[ROW][C]213[/C][C]21920[/C][C]23947.8510290717[/C][C]-2027.85102907174[/C][/ROW]
[ROW][C]214[/C][C]45608[/C][C]29005.6355944798[/C][C]16602.3644055202[/C][/ROW]
[ROW][C]215[/C][C]7721[/C][C]26579.1877945299[/C][C]-18858.1877945299[/C][/ROW]
[ROW][C]216[/C][C]20634[/C][C]21517.4761155587[/C][C]-883.476115558681[/C][/ROW]
[ROW][C]217[/C][C]29788[/C][C]31057.3383001409[/C][C]-1269.33830014089[/C][/ROW]
[ROW][C]218[/C][C]31931[/C][C]13553.5408021927[/C][C]18377.4591978073[/C][/ROW]
[ROW][C]219[/C][C]37754[/C][C]26526.0326022563[/C][C]11227.9673977437[/C][/ROW]
[ROW][C]220[/C][C]32505[/C][C]16111.5742005092[/C][C]16393.4257994908[/C][/ROW]
[ROW][C]221[/C][C]40557[/C][C]40977.1797570837[/C][C]-420.179757083688[/C][/ROW]
[ROW][C]222[/C][C]94238[/C][C]42277.8110894863[/C][C]51960.1889105137[/C][/ROW]
[ROW][C]223[/C][C]44197[/C][C]63029.0714895686[/C][C]-18832.0714895686[/C][/ROW]
[ROW][C]224[/C][C]43228[/C][C]29726.4092645413[/C][C]13501.5907354587[/C][/ROW]
[ROW][C]225[/C][C]4103[/C][C]9279.62315006949[/C][C]-5176.62315006949[/C][/ROW]
[ROW][C]226[/C][C]44144[/C][C]58622.3988168084[/C][C]-14478.3988168084[/C][/ROW]
[ROW][C]227[/C][C]32868[/C][C]23961.6576618925[/C][C]8906.34233810752[/C][/ROW]
[ROW][C]228[/C][C]27640[/C][C]63246.5856979667[/C][C]-35606.5856979667[/C][/ROW]
[ROW][C]229[/C][C]14063[/C][C]40155.8819562792[/C][C]-26092.8819562792[/C][/ROW]
[ROW][C]230[/C][C]28990[/C][C]40510.4104351452[/C][C]-11520.4104351452[/C][/ROW]
[ROW][C]231[/C][C]4694[/C][C]7488.77375847473[/C][C]-2794.77375847473[/C][/ROW]
[ROW][C]232[/C][C]42648[/C][C]34294.4452301901[/C][C]8353.5547698099[/C][/ROW]
[ROW][C]233[/C][C]64329[/C][C]51189.8783885843[/C][C]13139.1216114157[/C][/ROW]
[ROW][C]234[/C][C]21928[/C][C]19806.3909817145[/C][C]2121.60901828546[/C][/ROW]
[ROW][C]235[/C][C]25836[/C][C]47247.3984898793[/C][C]-21411.3984898793[/C][/ROW]
[ROW][C]236[/C][C]22779[/C][C]29522.6548061803[/C][C]-6743.65480618033[/C][/ROW]
[ROW][C]237[/C][C]40820[/C][C]40262.8921413406[/C][C]557.10785865943[/C][/ROW]
[ROW][C]238[/C][C]27530[/C][C]31286.520383803[/C][C]-3756.52038380301[/C][/ROW]
[ROW][C]239[/C][C]32378[/C][C]33143.7956963339[/C][C]-765.7956963339[/C][/ROW]
[ROW][C]240[/C][C]10824[/C][C]31420.4656739043[/C][C]-20596.4656739043[/C][/ROW]
[ROW][C]241[/C][C]39613[/C][C]34693.6177444641[/C][C]4919.38225553592[/C][/ROW]
[ROW][C]242[/C][C]60865[/C][C]73545.0181513756[/C][C]-12680.0181513756[/C][/ROW]
[ROW][C]243[/C][C]19787[/C][C]29135.3814608957[/C][C]-9348.3814608957[/C][/ROW]
[ROW][C]244[/C][C]20107[/C][C]27194.7002684155[/C][C]-7087.70026841548[/C][/ROW]
[ROW][C]245[/C][C]36605[/C][C]36550.6963654547[/C][C]54.303634545338[/C][/ROW]
[ROW][C]246[/C][C]40961[/C][C]43449.0523948893[/C][C]-2488.05239488929[/C][/ROW]
[ROW][C]247[/C][C]48231[/C][C]51043.3813728089[/C][C]-2812.38137280886[/C][/ROW]
[ROW][C]248[/C][C]39725[/C][C]22518.4971005437[/C][C]17206.5028994563[/C][/ROW]
[ROW][C]249[/C][C]21455[/C][C]32175.7440715537[/C][C]-10720.7440715537[/C][/ROW]
[ROW][C]250[/C][C]23430[/C][C]26740.5405459342[/C][C]-3310.54054593419[/C][/ROW]
[ROW][C]251[/C][C]62991[/C][C]47649.3064250511[/C][C]15341.6935749489[/C][/ROW]
[ROW][C]252[/C][C]49363[/C][C]47053.3707967917[/C][C]2309.62920320826[/C][/ROW]
[ROW][C]253[/C][C]9604[/C][C]4096.14993822588[/C][C]5507.85006177412[/C][/ROW]
[ROW][C]254[/C][C]24552[/C][C]31051.2794992233[/C][C]-6499.27949922334[/C][/ROW]
[ROW][C]255[/C][C]31493[/C][C]38295.6003329272[/C][C]-6802.60033292716[/C][/ROW]
[ROW][C]256[/C][C]3439[/C][C]8283.53712262532[/C][C]-4844.53712262532[/C][/ROW]
[ROW][C]257[/C][C]19555[/C][C]21715.6434131468[/C][C]-2160.64341314684[/C][/ROW]
[ROW][C]258[/C][C]21228[/C][C]25118.5905621357[/C][C]-3890.59056213567[/C][/ROW]
[ROW][C]259[/C][C]23177[/C][C]14171.9056555115[/C][C]9005.09434448854[/C][/ROW]
[ROW][C]260[/C][C]22094[/C][C]11662.4791450524[/C][C]10431.5208549476[/C][/ROW]
[ROW][C]261[/C][C]2342[/C][C]8529.91444159667[/C][C]-6187.91444159667[/C][/ROW]
[ROW][C]262[/C][C]38798[/C][C]29668.4501800894[/C][C]9129.54981991059[/C][/ROW]
[ROW][C]263[/C][C]3255[/C][C]5706.9608353177[/C][C]-2451.9608353177[/C][/ROW]
[ROW][C]264[/C][C]24261[/C][C]32584.2649174346[/C][C]-8323.2649174346[/C][/ROW]
[ROW][C]265[/C][C]18511[/C][C]29709.3883221344[/C][C]-11198.3883221344[/C][/ROW]
[ROW][C]266[/C][C]40798[/C][C]36863.2294833407[/C][C]3934.77051665934[/C][/ROW]
[ROW][C]267[/C][C]28893[/C][C]42783.5100751148[/C][C]-13890.5100751148[/C][/ROW]
[ROW][C]268[/C][C]21425[/C][C]37538.3788009189[/C][C]-16113.3788009189[/C][/ROW]
[ROW][C]269[/C][C]50276[/C][C]33944.3817705804[/C][C]16331.6182294196[/C][/ROW]
[ROW][C]270[/C][C]37643[/C][C]49607.182564617[/C][C]-11964.182564617[/C][/ROW]
[ROW][C]271[/C][C]30377[/C][C]46180.2105846269[/C][C]-15803.2105846269[/C][/ROW]
[ROW][C]272[/C][C]27126[/C][C]23868.0040619805[/C][C]3257.99593801947[/C][/ROW]
[ROW][C]273[/C][C]13[/C][C]1976.6121513986[/C][C]-1963.6121513986[/C][/ROW]
[ROW][C]274[/C][C]42097[/C][C]40784.7462968685[/C][C]1312.25370313146[/C][/ROW]
[ROW][C]275[/C][C]24451[/C][C]22747.2682143147[/C][C]1703.7317856853[/C][/ROW]
[ROW][C]276[/C][C]14335[/C][C]26106.1985344991[/C][C]-11771.1985344991[/C][/ROW]
[ROW][C]277[/C][C]5084[/C][C]6213.27182935992[/C][C]-1129.27182935992[/C][/ROW]
[ROW][C]278[/C][C]9927[/C][C]1582.73489271612[/C][C]8344.26510728388[/C][/ROW]
[ROW][C]279[/C][C]43527[/C][C]40580.2440345106[/C][C]2946.75596548939[/C][/ROW]
[ROW][C]280[/C][C]27184[/C][C]33081.0877198993[/C][C]-5897.0877198993[/C][/ROW]
[ROW][C]281[/C][C]21610[/C][C]32741.7864776756[/C][C]-11131.7864776756[/C][/ROW]
[ROW][C]282[/C][C]20484[/C][C]26711.5776377967[/C][C]-6227.57763779674[/C][/ROW]
[ROW][C]283[/C][C]20156[/C][C]36943.8295738633[/C][C]-16787.8295738633[/C][/ROW]
[ROW][C]284[/C][C]6012[/C][C]4062.58448621409[/C][C]1949.41551378591[/C][/ROW]
[ROW][C]285[/C][C]18475[/C][C]19018.5576851159[/C][C]-543.557685115893[/C][/ROW]
[ROW][C]286[/C][C]12645[/C][C]25978.5448691424[/C][C]-13333.5448691424[/C][/ROW]
[ROW][C]287[/C][C]11017[/C][C]17748.1699793922[/C][C]-6731.1699793922[/C][/ROW]
[ROW][C]288[/C][C]37623[/C][C]51585.9982981675[/C][C]-13962.9982981675[/C][/ROW]
[ROW][C]289[/C][C]35873[/C][C]28737.1091627382[/C][C]7135.89083726178[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160395&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160395&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
1146283111662.22667063534620.7733293653
29836481599.925676434916764.0743235651
38614692241.5732523364-6095.57325233635
496933129385.959182964-32452.9591829644
57923454342.125770295924891.8742297041
64255134799.98344023867751.01655976142
7195663168293.82054366827369.1794563323
868539301.12903694234-2448.12903694234
92152928715.9616957062-7186.96169570621
109575782731.881899404313025.1181005957
118558477639.85084214967944.14915785044
12143983123222.85415652920760.1458434705
137585187662.8227880618-11811.8227880618
145923865907.3651716083-6669.36517160829
1593163132346.560339712-39183.5603397117
169603782868.020914303213168.9790856968
17151511171509.408285419-19998.4082854186
18136368128129.93694138238.06305870002
19112642105474.4357973437167.56420265707
2094728106468.419136512-11740.4191365121
21105499123131.700229415-17632.7002294151
22121527116897.429400254629.5705997503
23127766123378.2619127334387.73808726683
249895863487.508617841735470.4913821583
257790095905.6107419713-18005.6107419713
2685646125689.937536803-40043.9375368031
2798579103860.440736523-5281.44073652261
28130767117614.65084078613152.349159214
29131741105035.91400644326705.0859935571
305390761389.5660288082-7482.56602880823
31178812106995.31224029571816.6877597047
32146761114430.6193986332330.3806013702
3382036113668.091875295-31632.0918752946
34163253126238.34133311337014.6586668868
352703237283.7268402909-10251.7268402909
36171975158135.86210046413839.1378995362
376599030392.497667053535597.5023329465
388657286526.01319759445.9868024060121
39159676115867.30378146343808.6962185368
401929-3437.847063323345366.84706332334
418537181747.56959395163623.43040604844
425839136742.652153977321648.3478460227
433158047312.7830827828-15732.7830827828
44136815133936.6134580212878.38654197933
45120642128023.250830805-7381.25083080541
466910781195.7467556208-12088.7467556208
475049583514.3057212979-33019.3057212979
4810801671410.798265930936605.2017340691
494634154714.2851010063-8373.28510100631
507834879373.1713485338-1025.17134853384
517933666027.854122895513308.1458771045
525696833192.119309204623775.8806907954
5393176119061.223789011-25885.2237890109
54161632154063.3426427087568.65735729154
5587850112961.257816346-25111.2578163459
5612796993858.668421486234110.3315785138
57150498778.07382402466270.9261759754
58155135142218.55678417612916.4432158237
592510924334.3046418079774.695358192095
604582438453.22560474797370.77439525208
61102996108883.250669921-5887.25066992093
62160604124275.38719889436328.612801106
63158051132092.87305928825958.1269407122
644454731727.689642724312819.3103572757
65162647175041.68090417-12394.6809041696
66174141157534.35410781116606.6458921894
676062273311.3704869236-12689.3704869236
68179566152034.29852566527531.7014743355
69184301147696.18481965536604.8151803445
707566186029.5777769023-10368.5777769023
7196144102515.779637751-6371.77963775106
7212984796463.187563649333383.8124363507
7311728680785.911097083436500.0889029166
747118099529.2226118065-28349.2226118065
75109377106243.4743160923133.52568390792
7685298125535.888725466-40237.888725466
777363173851.395636802-220.395636802014
788676792336.5204694655-5569.52046946546
792382434450.4401820237-10626.4401820237
809348790080.26749330683406.73250669318
8182981101655.470360573-18674.4703605735
8273815107470.331894779-33655.3318947786
8394552113401.631888886-18849.6318888859
84132190123840.7540634068349.24593659413
8512875464463.339814079364290.6601859207
866636388307.5312273416-21944.5312273416
876780882966.8644496526-15158.8644496526
886172459527.63235943272196.36764056728
89131722131654.30112626267.6988737377766
906858057536.960558300811043.0394416992
91106175122738.771049959-16563.7710499595
925579251896.40893841693895.59106158311
932515743879.4848216022-18722.4848216022
947666974773.479180261895.52081974002
955728345790.612957205211492.3870427948
9610580585756.24392989220048.756070108
9712948487654.049136337641829.9508636624
9872413146830.438761206-74417.4387612059
998783187292.0912149848538.90878501518
10096971139703.475898226-42732.4758982261
1017129960623.813332521910675.1866674781
10277494109976.209801194-32482.2098011944
103120336108945.07013191711390.9298680827
1049391389234.81578987334678.18421012671
105136048118741.98637109417306.0136289062
106181248155355.75101959325892.2489804067
107146123138131.583959427991.41604058028
1083203641064.490536349-9028.49053634902
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1864245-75.6986146045924320.69861460459
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2244322829726.409264541313501.5907354587
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2273286823961.65766189258906.34233810752
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2401082431420.4656739043-20596.4656739043
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2502343026740.5405459342-3310.54054593419
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2571955521715.6434131468-2160.64341314684
2582122825118.5905621357-3890.59056213567
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2602209411662.479145052410431.5208549476
26123428529.91444159667-6187.91444159667
2623879829668.45018008949129.54981991059
26332555706.9608353177-2451.9608353177
2642426132584.2649174346-8323.2649174346
2651851129709.3883221344-11198.3883221344
2664079836863.22948334073934.77051665934
2672889342783.5100751148-13890.5100751148
2682142537538.3788009189-16113.3788009189
2695027633944.381770580416331.6182294196
2703764349607.182564617-11964.182564617
2713037746180.2105846269-15803.2105846269
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273131976.6121513986-1963.6121513986
2744209740784.74629686851312.25370313146
2752445122747.26821431471703.7317856853
2761433526106.1985344991-11771.1985344991
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2794352740580.24403451062946.75596548939
2802718433081.0877198993-5897.0877198993
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2822048426711.5776377967-6227.57763779674
2832015636943.8295738633-16787.8295738633
28460124062.584486214091949.41551378591
2851847519018.5576851159-543.557685115893
2861264525978.5448691424-13333.5448691424
2871101717748.1699793922-6731.1699793922
2883762351585.9982981675-13962.9982981675
2893587328737.10916273827135.89083726178






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.01182006546987550.0236401309397510.988179934530125
130.007991670116495020.015983340232990.992008329883505
140.004023733344214050.00804746668842810.995976266655786
150.03971936423094170.07943872846188330.960280635769058
160.01831806307469080.03663612614938150.981681936925309
170.01642400190784590.03284800381569190.983575998092154
180.07906472117148430.1581294423429690.920935278828516
190.05409003828383170.1081800765676630.945909961716168
200.2730605696324470.5461211392648950.726939430367553
210.2401606302712590.4803212605425180.759839369728741
220.20818394280890.41636788561780.7918160571911
230.1525496806189270.3050993612378530.847450319381073
240.4010417083128810.8020834166257610.598958291687119
250.3442063220493090.6884126440986180.655793677950691
260.2958835355601670.5917670711203350.704116464439833
270.2900143170163560.5800286340327120.709985682983644
280.2424141145794260.4848282291588520.757585885420574
290.2970451250925370.5940902501850740.702954874907463
300.253881209341810.5077624186836210.74611879065819
310.9594699517480910.08106009650381870.0405300482519094
320.9618224549242390.07635509015152220.0381775450757611
330.9583322650096130.08333546998077480.0416677349903874
340.9622022245361350.07559555092773070.0377977754638654
350.9571672657669510.08566546846609830.0428327342330492
360.9525522276880890.09489554462382230.0474477723119112
370.9534899699834680.09302006003306460.0465100300165323
380.9392186764073270.1215626471853460.0607813235926729
390.9716491495583660.05670170088326820.0283508504416341
400.9736457124498090.05270857510038220.0263542875501911
410.9653555224461430.06928895510771340.0346444775538567
420.9570172592613680.08596548147726480.0429827407386324
430.9460284607481590.1079430785036810.0539715392518406
440.9333634247944480.1332731504111030.0666365752055515
450.9206981078927470.1586037842145060.0793018921072532
460.9039250634199880.1921498731600240.0960749365800121
470.905909354876570.1881812902468610.0940906451234303
480.9531294893809970.09374102123800710.0468705106190035
490.9428855438746610.1142289122506780.0571144561253388
500.9301416295520730.1397167408958540.0698583704479268
510.966513463392120.06697307321576060.0334865366078803
520.9661575188770560.06768496224588870.0338424811229443
530.9763275504711030.04734489905779410.023672449528897
540.9705314568667850.05893708626643010.029468543133215
550.9765212649194520.04695747016109610.0234787350805481
560.9805368577826750.03892628443465090.0194631422173254
570.9755469688475250.04890606230495060.0244530311524753
580.9732325021003460.05353499579930820.0267674978996541
590.9660533945088180.06789321098236490.0339466054911825
600.957519220693180.08496155861364050.0424807793068203
610.9488331841526050.1023336316947890.0511668158473947
620.9638384129821160.07232317403576870.0361615870178844
630.9645270073857450.070945985228510.035472992614255
640.9570601083411640.08587978331767270.0429398916588364
650.955469710470990.08906057905801980.0445302895290099
660.9485200458334830.1029599083330340.0514799541665171
670.9411925360301410.1176149279397180.0588074639698592
680.9491129960148980.1017740079702040.0508870039851018
690.9618476432570560.07630471348588750.0381523567429437
700.9537922684877770.09241546302444650.0462077315122232
710.9438574957782290.1122850084435420.0561425042217708
720.9566208017848660.0867583964302690.0433791982151345
730.9648357058954340.07032858820913240.0351642941045662
740.9751026738069740.04979465238605250.0248973261930262
750.9691143410107840.06177131797843140.0308856589892157
760.9874089781043470.02518204379130550.0125910218956528
770.9842725891590590.03145482168188220.0157274108409411
780.9801929926034790.03961401479304160.0198070073965208
790.9769223278007840.04615534439843120.0230776721992156
800.9714375975598390.05712480488032140.0285624024401607
810.9717290663199690.05654186736006140.0282709336800307
820.9824646897510780.03507062049784330.0175353102489217
830.9812184698741210.0375630602517590.0187815301258795
840.9770775226301470.04584495473970550.0229224773698528
850.9968687561118420.00626248777631620.0031312438881581
860.9971741153207910.005651769358417770.00282588467920889
870.9969187001864410.006162599627117770.00308129981355889
880.9959561855954940.00808762880901150.00404381440450575
890.9947222686305490.01055546273890220.0052777313694511
900.9935650594667460.01286988106650880.00643494053325442
910.9931716724613210.01365665507735720.0068283275386786
920.991293734873540.01741253025291970.00870626512645983
930.9914427918967030.01711441620659350.00855720810329674
940.9891377104465390.02172457910692240.0108622895534612
950.9868868417060830.02622631658783410.0131131582939171
960.9861003230368710.02779935392625850.0138996769631292
970.9931245673801150.01375086523977090.00687543261988546
980.9997615961905820.0004768076188360130.000238403809418006
990.9996702064260730.0006595871478531150.000329793573926557
1000.999894599667830.0002108006643407860.000105400332170393
1010.9998628674354460.0002742651291080230.000137132564554012
1020.9999127755568960.0001744488862073678.72244431036833e-05
1030.999889013104630.0002219737907400390.00011098689537002
1040.9998463759586550.0003072480826910010.000153624041345501
1050.9998310229681520.0003379540636963680.000168977031848184
1060.99986912876920.0002617424615996450.000130871230799822
1070.9998368548211130.0003262903577738420.000163145178886921
1080.9997977662006750.0004044675986500730.000202233799325037
1090.9997566944352530.0004866111294934150.000243305564746708
1100.9996740013887120.0006519972225761510.000325998611288076
1110.9996497503445640.0007004993108718290.000350249655435915
1120.9995795920920910.000840815815818770.000420407907909385
1130.9995801765626560.0008396468746871380.000419823437343569
1140.9994364140147820.001127171970435260.000563585985217629
1150.9996347504864630.0007304990270745540.000365249513537277
1160.9995070883807760.0009858232384489780.000492911619224489
1170.9993487414434090.001302517113180990.000651258556590493
1180.9992642074663340.001471585067331310.000735792533665653
1190.9999998751359522.49728096327853e-071.24864048163926e-07
1200.9999998390290143.21941971454229e-071.60970985727114e-07
1210.9999997510914134.9781717293231e-072.48908586466155e-07
1220.9999997146833075.70633385497518e-072.85316692748759e-07
1230.9999995957577378.08484525056504e-074.04242262528252e-07
1240.999999395876781.20824644019047e-066.04123220095237e-07
1250.9999999879681972.40636066216169e-081.20318033108085e-08
1260.9999999860238572.79522864508473e-081.39761432254237e-08
1270.9999999822578673.5484265951992e-081.7742132975996e-08
1280.9999999778258064.43483887394546e-082.21741943697273e-08
1290.9999999792381024.15237965509734e-082.07618982754867e-08
1300.9999999674432256.51135497529184e-083.25567748764592e-08
1310.9999999503164279.93671465637541e-084.96835732818771e-08
1320.9999999478647081.04270584696771e-075.21352923483855e-08
1330.9999999192014761.61597047097007e-078.07985235485034e-08
1340.9999999121319881.7573602334653e-078.78680116732651e-08
1350.999999987902662.41946793144629e-081.20973396572315e-08
1360.9999999978815994.2368025739012e-092.1184012869506e-09
1370.9999999965569186.88616404383854e-093.44308202191927e-09
1380.9999999984956413.00871829055562e-091.50435914527781e-09
1390.999999997840674.31866048795031e-092.15933024397515e-09
1400.9999999975302464.93950753143294e-092.46975376571647e-09
1410.9999999960087277.98254655615117e-093.99127327807559e-09
1420.9999999934548931.3090214088731e-086.54510704436551e-09
1430.999999991719241.65615201209477e-088.28076006047384e-09
1440.9999999961457417.7085188658165e-093.85425943290825e-09
1450.9999999947212191.05575614632559e-085.27878073162797e-09
1460.9999999934922811.30154386717522e-086.50771933587608e-09
1470.9999999943279731.13440548555789e-085.67202742778945e-09
1480.9999999912079571.75840857229226e-088.79204286146128e-09
1490.9999999857654762.84690473778281e-081.4234523688914e-08
1500.9999999765820134.68359731361213e-082.34179865680606e-08
1510.9999999622955227.54089554328917e-083.77044777164458e-08
1520.9999999428212821.14357435839741e-075.71787179198703e-08
1530.99999990921791.81564199549899e-079.07820997749494e-08
1540.9999998806200582.3875988410158e-071.1937994205079e-07
1550.9999999956327848.73443141408903e-094.36721570704451e-09
1560.9999999986540192.69196207349269e-091.34598103674635e-09
1570.9999999994011581.19768389984307e-095.98841949921537e-10
1580.9999999990192451.96151047911432e-099.80755239557161e-10
1590.999999998566492.86702041227136e-091.43351020613568e-09
1600.9999999983314963.33700886449005e-091.66850443224502e-09
1610.9999999987311812.53763723584946e-091.26881861792473e-09
1620.9999999983248833.35023503663705e-091.67511751831853e-09
1630.9999999974493385.10132336551715e-092.55066168275857e-09
1640.9999999980713863.85722743696138e-091.92861371848069e-09
1650.9999999978409914.31801828145724e-092.15900914072862e-09
1660.9999999994555681.08886362123346e-095.4443181061673e-10
1670.9999999991458241.70835136699777e-098.54175683498886e-10
1680.9999999994983581.0032831949504e-095.01641597475201e-10
1690.9999999997774564.45088964488735e-102.22544482244368e-10
1700.9999999998964812.07038169530522e-101.03519084765261e-10
1710.9999999998776862.44629048326372e-101.22314524163186e-10
1720.9999999999513349.73317986169617e-114.86658993084809e-11
1730.999999999995229.55965663972653e-124.77982831986326e-12
1740.9999999999909951.80097202492228e-119.00486012461139e-12
1750.9999999999970225.95587727574651e-122.97793863787325e-12
1760.9999999999952099.5816698864374e-124.7908349432187e-12
1770.9999999999916771.66456777850759e-118.32283889253796e-12
1780.9999999999842113.15778260915897e-111.57889130457948e-11
1790.9999999999728455.43091992641807e-112.71545996320903e-11
1800.9999999999731875.36250552910517e-112.68125276455258e-11
1810.9999999999632997.34024845862922e-113.67012422931461e-11
1820.9999999999796554.06907814315784e-112.03453907157892e-11
1830.9999999999657616.84779156027357e-113.42389578013678e-11
1840.9999999999523079.5386716509047e-114.76933582545235e-11
1850.99999999998463.08007797397137e-111.54003898698568e-11
1860.9999999999700915.98181544244998e-112.99090772122499e-11
1870.999999999945341.09319913209278e-105.46599566046391e-11
1880.9999999999086461.82707777126195e-109.13538885630976e-11
1890.9999999999246191.50761351165938e-107.53806755829688e-11
1900.9999999999602957.94100807065986e-113.97050403532993e-11
1910.999999999928731.42540206807399e-107.12701034036997e-11
1920.9999999998953822.09235723751971e-101.04617861875985e-10
1930.9999999998214223.57156696354598e-101.78578348177299e-10
1940.9999999996976566.04688822245544e-103.02344411122772e-10
1950.9999999999291471.41705076359166e-107.08525381795832e-11
1960.9999999999167041.66591801492466e-108.32959007462328e-11
1970.9999999998466583.06684005671332e-101.53342002835666e-10
1980.999999999761564.76880600443709e-102.38440300221854e-10
1990.9999999996738536.5229413051723e-103.26147065258615e-10
2000.9999999996803886.39223435564974e-103.19611717782487e-10
2010.9999999993988471.20230584052114e-096.01152920260572e-10
2020.9999999989695272.06094592702744e-091.03047296351372e-09
2030.9999999984364733.12705346128343e-091.56352673064171e-09
2040.999999999106381.7872408068704e-098.93620403435199e-10
2050.9999999987779562.44408903202514e-091.22204451601257e-09
2060.9999999978340564.33188859983295e-092.16594429991647e-09
2070.9999999963774797.2450410717154e-093.6225205358577e-09
2080.9999999968523036.29539485393395e-093.14769742696697e-09
2090.9999999943368171.13263652887031e-085.66318264435157e-09
2100.9999999899836262.00327483983995e-081.00163741991997e-08
2110.9999999889502522.2099495332803e-081.10497476664015e-08
2120.9999999796575284.06849433094711e-082.03424716547355e-08
2130.9999999620798227.5840355284602e-083.7920177642301e-08
2140.999999959534598.09308192905605e-084.04654096452802e-08
2150.9999999825342623.49314767325059e-081.74657383662529e-08
2160.9999999688982896.22034218206559e-083.11017109103279e-08
2170.9999999414595581.17080883873008e-075.8540441936504e-08
2180.9999999064096431.87180714210869e-079.35903571054347e-08
2190.9999998612446532.77510694681798e-071.38755347340899e-07
2200.9999998480490513.03901897470498e-071.51950948735249e-07
2210.999999733377695.33244620147751e-072.66622310073876e-07
2220.9999999999973665.26765307859715e-122.63382653929857e-12
2230.9999999999962547.49245047935447e-123.74622523967724e-12
2240.9999999999983683.26427017369211e-121.63213508684605e-12
2250.9999999999962397.52285102953352e-123.76142551476676e-12
2260.9999999999917921.64158718482385e-118.20793592411927e-12
2270.9999999999857152.8570841037761e-111.42854205188805e-11
2280.99999999999491.02009510490871e-115.10047552454356e-12
2290.9999999999990821.83688639444329e-129.18443197221646e-13
2300.9999999999986162.76710100112612e-121.38355050056306e-12
2310.9999999999963787.24340318612446e-123.62170159306223e-12
2320.9999999999929941.40125207916424e-117.0062603958212e-12
2330.999999999998123.75927352396964e-121.87963676198482e-12
2340.9999999999948921.02152893036844e-115.10764465184222e-12
2350.9999999999968856.2299108431369e-123.11495542156845e-12
2360.9999999999953039.39321856613892e-124.69660928306946e-12
2370.999999999989022.19601058469532e-111.09800529234766e-11
2380.9999999999709975.80066178662566e-112.90033089331283e-11
2390.999999999921751.56500789596619e-107.82503947983096e-11
2400.9999999999322571.35485341762932e-106.77426708814658e-11
2410.9999999998573422.85316770399782e-101.42658385199891e-10
2420.9999999996360967.27808217093959e-103.6390410854698e-10
2430.9999999995813888.37223249011305e-104.18611624505652e-10
2440.9999999988845262.23094860231726e-091.11547430115863e-09
2450.9999999974100385.17992498959855e-092.58996249479928e-09
2460.9999999960337887.93242317642899e-093.9662115882145e-09
2470.9999999896575022.06849953735828e-081.03424976867914e-08
2480.9999999970452015.90959857904996e-092.95479928952498e-09
2490.9999999959379878.12402676092416e-094.06201338046208e-09
2500.9999999889091432.21817138058552e-081.10908569029276e-08
2510.9999999985618012.87639840335816e-091.43819920167908e-09
2520.9999999976369374.72612533201672e-092.36306266600836e-09
2530.9999999928334791.43330424881737e-087.16652124408686e-09
2540.9999999832865023.34269969923785e-081.67134984961892e-08
2550.9999999635693587.28612839322051e-083.64306419661026e-08
2560.999999915073171.69853660851632e-078.4926830425816e-08
2570.99999978853044.22939199530127e-072.11469599765064e-07
2580.9999994607293341.07854133216874e-065.39270666084372e-07
2590.9999994047404951.19051901049467e-065.95259505247334e-07
2600.9999989136908492.17261830234883e-061.08630915117442e-06
2610.9999976323447724.73531045641353e-062.36765522820677e-06
2620.9999938979372591.22041254819901e-056.10206274099505e-06
2630.9999844807725543.10384548920777e-051.55192274460388e-05
2640.9999855755319152.88489361691961e-051.44244680845981e-05
2650.999962650203687.46995926396022e-053.73497963198011e-05
2660.9999063940393120.0001872119213755579.36059606877786e-05
2670.9998098477020210.0003803045959582890.000190152297979144
2680.999814325066450.0003713498671001510.000185674933550075
2690.9999744850591095.10298817819681e-052.55149408909841e-05
2700.9999072047675880.0001855904648238799.27952324119396e-05
2710.9996806976935280.0006386046129431770.000319302306471588
2720.9994966160971240.00100676780575210.000503383902876049
2730.998420870324930.00315825935013970.00157912967506985
2740.9948017220250240.01039655594995210.00519827797497603
2750.9838533957425850.03229320851483030.0161466042574151
2760.9603283086035830.07934338279283350.0396716913964168
2770.8986564160803210.2026871678393570.101343583919679

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
12 & 0.0118200654698755 & 0.023640130939751 & 0.988179934530125 \tabularnewline
13 & 0.00799167011649502 & 0.01598334023299 & 0.992008329883505 \tabularnewline
14 & 0.00402373334421405 & 0.0080474666884281 & 0.995976266655786 \tabularnewline
15 & 0.0397193642309417 & 0.0794387284618833 & 0.960280635769058 \tabularnewline
16 & 0.0183180630746908 & 0.0366361261493815 & 0.981681936925309 \tabularnewline
17 & 0.0164240019078459 & 0.0328480038156919 & 0.983575998092154 \tabularnewline
18 & 0.0790647211714843 & 0.158129442342969 & 0.920935278828516 \tabularnewline
19 & 0.0540900382838317 & 0.108180076567663 & 0.945909961716168 \tabularnewline
20 & 0.273060569632447 & 0.546121139264895 & 0.726939430367553 \tabularnewline
21 & 0.240160630271259 & 0.480321260542518 & 0.759839369728741 \tabularnewline
22 & 0.2081839428089 & 0.4163678856178 & 0.7918160571911 \tabularnewline
23 & 0.152549680618927 & 0.305099361237853 & 0.847450319381073 \tabularnewline
24 & 0.401041708312881 & 0.802083416625761 & 0.598958291687119 \tabularnewline
25 & 0.344206322049309 & 0.688412644098618 & 0.655793677950691 \tabularnewline
26 & 0.295883535560167 & 0.591767071120335 & 0.704116464439833 \tabularnewline
27 & 0.290014317016356 & 0.580028634032712 & 0.709985682983644 \tabularnewline
28 & 0.242414114579426 & 0.484828229158852 & 0.757585885420574 \tabularnewline
29 & 0.297045125092537 & 0.594090250185074 & 0.702954874907463 \tabularnewline
30 & 0.25388120934181 & 0.507762418683621 & 0.74611879065819 \tabularnewline
31 & 0.959469951748091 & 0.0810600965038187 & 0.0405300482519094 \tabularnewline
32 & 0.961822454924239 & 0.0763550901515222 & 0.0381775450757611 \tabularnewline
33 & 0.958332265009613 & 0.0833354699807748 & 0.0416677349903874 \tabularnewline
34 & 0.962202224536135 & 0.0755955509277307 & 0.0377977754638654 \tabularnewline
35 & 0.957167265766951 & 0.0856654684660983 & 0.0428327342330492 \tabularnewline
36 & 0.952552227688089 & 0.0948955446238223 & 0.0474477723119112 \tabularnewline
37 & 0.953489969983468 & 0.0930200600330646 & 0.0465100300165323 \tabularnewline
38 & 0.939218676407327 & 0.121562647185346 & 0.0607813235926729 \tabularnewline
39 & 0.971649149558366 & 0.0567017008832682 & 0.0283508504416341 \tabularnewline
40 & 0.973645712449809 & 0.0527085751003822 & 0.0263542875501911 \tabularnewline
41 & 0.965355522446143 & 0.0692889551077134 & 0.0346444775538567 \tabularnewline
42 & 0.957017259261368 & 0.0859654814772648 & 0.0429827407386324 \tabularnewline
43 & 0.946028460748159 & 0.107943078503681 & 0.0539715392518406 \tabularnewline
44 & 0.933363424794448 & 0.133273150411103 & 0.0666365752055515 \tabularnewline
45 & 0.920698107892747 & 0.158603784214506 & 0.0793018921072532 \tabularnewline
46 & 0.903925063419988 & 0.192149873160024 & 0.0960749365800121 \tabularnewline
47 & 0.90590935487657 & 0.188181290246861 & 0.0940906451234303 \tabularnewline
48 & 0.953129489380997 & 0.0937410212380071 & 0.0468705106190035 \tabularnewline
49 & 0.942885543874661 & 0.114228912250678 & 0.0571144561253388 \tabularnewline
50 & 0.930141629552073 & 0.139716740895854 & 0.0698583704479268 \tabularnewline
51 & 0.96651346339212 & 0.0669730732157606 & 0.0334865366078803 \tabularnewline
52 & 0.966157518877056 & 0.0676849622458887 & 0.0338424811229443 \tabularnewline
53 & 0.976327550471103 & 0.0473448990577941 & 0.023672449528897 \tabularnewline
54 & 0.970531456866785 & 0.0589370862664301 & 0.029468543133215 \tabularnewline
55 & 0.976521264919452 & 0.0469574701610961 & 0.0234787350805481 \tabularnewline
56 & 0.980536857782675 & 0.0389262844346509 & 0.0194631422173254 \tabularnewline
57 & 0.975546968847525 & 0.0489060623049506 & 0.0244530311524753 \tabularnewline
58 & 0.973232502100346 & 0.0535349957993082 & 0.0267674978996541 \tabularnewline
59 & 0.966053394508818 & 0.0678932109823649 & 0.0339466054911825 \tabularnewline
60 & 0.95751922069318 & 0.0849615586136405 & 0.0424807793068203 \tabularnewline
61 & 0.948833184152605 & 0.102333631694789 & 0.0511668158473947 \tabularnewline
62 & 0.963838412982116 & 0.0723231740357687 & 0.0361615870178844 \tabularnewline
63 & 0.964527007385745 & 0.07094598522851 & 0.035472992614255 \tabularnewline
64 & 0.957060108341164 & 0.0858797833176727 & 0.0429398916588364 \tabularnewline
65 & 0.95546971047099 & 0.0890605790580198 & 0.0445302895290099 \tabularnewline
66 & 0.948520045833483 & 0.102959908333034 & 0.0514799541665171 \tabularnewline
67 & 0.941192536030141 & 0.117614927939718 & 0.0588074639698592 \tabularnewline
68 & 0.949112996014898 & 0.101774007970204 & 0.0508870039851018 \tabularnewline
69 & 0.961847643257056 & 0.0763047134858875 & 0.0381523567429437 \tabularnewline
70 & 0.953792268487777 & 0.0924154630244465 & 0.0462077315122232 \tabularnewline
71 & 0.943857495778229 & 0.112285008443542 & 0.0561425042217708 \tabularnewline
72 & 0.956620801784866 & 0.086758396430269 & 0.0433791982151345 \tabularnewline
73 & 0.964835705895434 & 0.0703285882091324 & 0.0351642941045662 \tabularnewline
74 & 0.975102673806974 & 0.0497946523860525 & 0.0248973261930262 \tabularnewline
75 & 0.969114341010784 & 0.0617713179784314 & 0.0308856589892157 \tabularnewline
76 & 0.987408978104347 & 0.0251820437913055 & 0.0125910218956528 \tabularnewline
77 & 0.984272589159059 & 0.0314548216818822 & 0.0157274108409411 \tabularnewline
78 & 0.980192992603479 & 0.0396140147930416 & 0.0198070073965208 \tabularnewline
79 & 0.976922327800784 & 0.0461553443984312 & 0.0230776721992156 \tabularnewline
80 & 0.971437597559839 & 0.0571248048803214 & 0.0285624024401607 \tabularnewline
81 & 0.971729066319969 & 0.0565418673600614 & 0.0282709336800307 \tabularnewline
82 & 0.982464689751078 & 0.0350706204978433 & 0.0175353102489217 \tabularnewline
83 & 0.981218469874121 & 0.037563060251759 & 0.0187815301258795 \tabularnewline
84 & 0.977077522630147 & 0.0458449547397055 & 0.0229224773698528 \tabularnewline
85 & 0.996868756111842 & 0.0062624877763162 & 0.0031312438881581 \tabularnewline
86 & 0.997174115320791 & 0.00565176935841777 & 0.00282588467920889 \tabularnewline
87 & 0.996918700186441 & 0.00616259962711777 & 0.00308129981355889 \tabularnewline
88 & 0.995956185595494 & 0.0080876288090115 & 0.00404381440450575 \tabularnewline
89 & 0.994722268630549 & 0.0105554627389022 & 0.0052777313694511 \tabularnewline
90 & 0.993565059466746 & 0.0128698810665088 & 0.00643494053325442 \tabularnewline
91 & 0.993171672461321 & 0.0136566550773572 & 0.0068283275386786 \tabularnewline
92 & 0.99129373487354 & 0.0174125302529197 & 0.00870626512645983 \tabularnewline
93 & 0.991442791896703 & 0.0171144162065935 & 0.00855720810329674 \tabularnewline
94 & 0.989137710446539 & 0.0217245791069224 & 0.0108622895534612 \tabularnewline
95 & 0.986886841706083 & 0.0262263165878341 & 0.0131131582939171 \tabularnewline
96 & 0.986100323036871 & 0.0277993539262585 & 0.0138996769631292 \tabularnewline
97 & 0.993124567380115 & 0.0137508652397709 & 0.00687543261988546 \tabularnewline
98 & 0.999761596190582 & 0.000476807618836013 & 0.000238403809418006 \tabularnewline
99 & 0.999670206426073 & 0.000659587147853115 & 0.000329793573926557 \tabularnewline
100 & 0.99989459966783 & 0.000210800664340786 & 0.000105400332170393 \tabularnewline
101 & 0.999862867435446 & 0.000274265129108023 & 0.000137132564554012 \tabularnewline
102 & 0.999912775556896 & 0.000174448886207367 & 8.72244431036833e-05 \tabularnewline
103 & 0.99988901310463 & 0.000221973790740039 & 0.00011098689537002 \tabularnewline
104 & 0.999846375958655 & 0.000307248082691001 & 0.000153624041345501 \tabularnewline
105 & 0.999831022968152 & 0.000337954063696368 & 0.000168977031848184 \tabularnewline
106 & 0.9998691287692 & 0.000261742461599645 & 0.000130871230799822 \tabularnewline
107 & 0.999836854821113 & 0.000326290357773842 & 0.000163145178886921 \tabularnewline
108 & 0.999797766200675 & 0.000404467598650073 & 0.000202233799325037 \tabularnewline
109 & 0.999756694435253 & 0.000486611129493415 & 0.000243305564746708 \tabularnewline
110 & 0.999674001388712 & 0.000651997222576151 & 0.000325998611288076 \tabularnewline
111 & 0.999649750344564 & 0.000700499310871829 & 0.000350249655435915 \tabularnewline
112 & 0.999579592092091 & 0.00084081581581877 & 0.000420407907909385 \tabularnewline
113 & 0.999580176562656 & 0.000839646874687138 & 0.000419823437343569 \tabularnewline
114 & 0.999436414014782 & 0.00112717197043526 & 0.000563585985217629 \tabularnewline
115 & 0.999634750486463 & 0.000730499027074554 & 0.000365249513537277 \tabularnewline
116 & 0.999507088380776 & 0.000985823238448978 & 0.000492911619224489 \tabularnewline
117 & 0.999348741443409 & 0.00130251711318099 & 0.000651258556590493 \tabularnewline
118 & 0.999264207466334 & 0.00147158506733131 & 0.000735792533665653 \tabularnewline
119 & 0.999999875135952 & 2.49728096327853e-07 & 1.24864048163926e-07 \tabularnewline
120 & 0.999999839029014 & 3.21941971454229e-07 & 1.60970985727114e-07 \tabularnewline
121 & 0.999999751091413 & 4.9781717293231e-07 & 2.48908586466155e-07 \tabularnewline
122 & 0.999999714683307 & 5.70633385497518e-07 & 2.85316692748759e-07 \tabularnewline
123 & 0.999999595757737 & 8.08484525056504e-07 & 4.04242262528252e-07 \tabularnewline
124 & 0.99999939587678 & 1.20824644019047e-06 & 6.04123220095237e-07 \tabularnewline
125 & 0.999999987968197 & 2.40636066216169e-08 & 1.20318033108085e-08 \tabularnewline
126 & 0.999999986023857 & 2.79522864508473e-08 & 1.39761432254237e-08 \tabularnewline
127 & 0.999999982257867 & 3.5484265951992e-08 & 1.7742132975996e-08 \tabularnewline
128 & 0.999999977825806 & 4.43483887394546e-08 & 2.21741943697273e-08 \tabularnewline
129 & 0.999999979238102 & 4.15237965509734e-08 & 2.07618982754867e-08 \tabularnewline
130 & 0.999999967443225 & 6.51135497529184e-08 & 3.25567748764592e-08 \tabularnewline
131 & 0.999999950316427 & 9.93671465637541e-08 & 4.96835732818771e-08 \tabularnewline
132 & 0.999999947864708 & 1.04270584696771e-07 & 5.21352923483855e-08 \tabularnewline
133 & 0.999999919201476 & 1.61597047097007e-07 & 8.07985235485034e-08 \tabularnewline
134 & 0.999999912131988 & 1.7573602334653e-07 & 8.78680116732651e-08 \tabularnewline
135 & 0.99999998790266 & 2.41946793144629e-08 & 1.20973396572315e-08 \tabularnewline
136 & 0.999999997881599 & 4.2368025739012e-09 & 2.1184012869506e-09 \tabularnewline
137 & 0.999999996556918 & 6.88616404383854e-09 & 3.44308202191927e-09 \tabularnewline
138 & 0.999999998495641 & 3.00871829055562e-09 & 1.50435914527781e-09 \tabularnewline
139 & 0.99999999784067 & 4.31866048795031e-09 & 2.15933024397515e-09 \tabularnewline
140 & 0.999999997530246 & 4.93950753143294e-09 & 2.46975376571647e-09 \tabularnewline
141 & 0.999999996008727 & 7.98254655615117e-09 & 3.99127327807559e-09 \tabularnewline
142 & 0.999999993454893 & 1.3090214088731e-08 & 6.54510704436551e-09 \tabularnewline
143 & 0.99999999171924 & 1.65615201209477e-08 & 8.28076006047384e-09 \tabularnewline
144 & 0.999999996145741 & 7.7085188658165e-09 & 3.85425943290825e-09 \tabularnewline
145 & 0.999999994721219 & 1.05575614632559e-08 & 5.27878073162797e-09 \tabularnewline
146 & 0.999999993492281 & 1.30154386717522e-08 & 6.50771933587608e-09 \tabularnewline
147 & 0.999999994327973 & 1.13440548555789e-08 & 5.67202742778945e-09 \tabularnewline
148 & 0.999999991207957 & 1.75840857229226e-08 & 8.79204286146128e-09 \tabularnewline
149 & 0.999999985765476 & 2.84690473778281e-08 & 1.4234523688914e-08 \tabularnewline
150 & 0.999999976582013 & 4.68359731361213e-08 & 2.34179865680606e-08 \tabularnewline
151 & 0.999999962295522 & 7.54089554328917e-08 & 3.77044777164458e-08 \tabularnewline
152 & 0.999999942821282 & 1.14357435839741e-07 & 5.71787179198703e-08 \tabularnewline
153 & 0.9999999092179 & 1.81564199549899e-07 & 9.07820997749494e-08 \tabularnewline
154 & 0.999999880620058 & 2.3875988410158e-07 & 1.1937994205079e-07 \tabularnewline
155 & 0.999999995632784 & 8.73443141408903e-09 & 4.36721570704451e-09 \tabularnewline
156 & 0.999999998654019 & 2.69196207349269e-09 & 1.34598103674635e-09 \tabularnewline
157 & 0.999999999401158 & 1.19768389984307e-09 & 5.98841949921537e-10 \tabularnewline
158 & 0.999999999019245 & 1.96151047911432e-09 & 9.80755239557161e-10 \tabularnewline
159 & 0.99999999856649 & 2.86702041227136e-09 & 1.43351020613568e-09 \tabularnewline
160 & 0.999999998331496 & 3.33700886449005e-09 & 1.66850443224502e-09 \tabularnewline
161 & 0.999999998731181 & 2.53763723584946e-09 & 1.26881861792473e-09 \tabularnewline
162 & 0.999999998324883 & 3.35023503663705e-09 & 1.67511751831853e-09 \tabularnewline
163 & 0.999999997449338 & 5.10132336551715e-09 & 2.55066168275857e-09 \tabularnewline
164 & 0.999999998071386 & 3.85722743696138e-09 & 1.92861371848069e-09 \tabularnewline
165 & 0.999999997840991 & 4.31801828145724e-09 & 2.15900914072862e-09 \tabularnewline
166 & 0.999999999455568 & 1.08886362123346e-09 & 5.4443181061673e-10 \tabularnewline
167 & 0.999999999145824 & 1.70835136699777e-09 & 8.54175683498886e-10 \tabularnewline
168 & 0.999999999498358 & 1.0032831949504e-09 & 5.01641597475201e-10 \tabularnewline
169 & 0.999999999777456 & 4.45088964488735e-10 & 2.22544482244368e-10 \tabularnewline
170 & 0.999999999896481 & 2.07038169530522e-10 & 1.03519084765261e-10 \tabularnewline
171 & 0.999999999877686 & 2.44629048326372e-10 & 1.22314524163186e-10 \tabularnewline
172 & 0.999999999951334 & 9.73317986169617e-11 & 4.86658993084809e-11 \tabularnewline
173 & 0.99999999999522 & 9.55965663972653e-12 & 4.77982831986326e-12 \tabularnewline
174 & 0.999999999990995 & 1.80097202492228e-11 & 9.00486012461139e-12 \tabularnewline
175 & 0.999999999997022 & 5.95587727574651e-12 & 2.97793863787325e-12 \tabularnewline
176 & 0.999999999995209 & 9.5816698864374e-12 & 4.7908349432187e-12 \tabularnewline
177 & 0.999999999991677 & 1.66456777850759e-11 & 8.32283889253796e-12 \tabularnewline
178 & 0.999999999984211 & 3.15778260915897e-11 & 1.57889130457948e-11 \tabularnewline
179 & 0.999999999972845 & 5.43091992641807e-11 & 2.71545996320903e-11 \tabularnewline
180 & 0.999999999973187 & 5.36250552910517e-11 & 2.68125276455258e-11 \tabularnewline
181 & 0.999999999963299 & 7.34024845862922e-11 & 3.67012422931461e-11 \tabularnewline
182 & 0.999999999979655 & 4.06907814315784e-11 & 2.03453907157892e-11 \tabularnewline
183 & 0.999999999965761 & 6.84779156027357e-11 & 3.42389578013678e-11 \tabularnewline
184 & 0.999999999952307 & 9.5386716509047e-11 & 4.76933582545235e-11 \tabularnewline
185 & 0.9999999999846 & 3.08007797397137e-11 & 1.54003898698568e-11 \tabularnewline
186 & 0.999999999970091 & 5.98181544244998e-11 & 2.99090772122499e-11 \tabularnewline
187 & 0.99999999994534 & 1.09319913209278e-10 & 5.46599566046391e-11 \tabularnewline
188 & 0.999999999908646 & 1.82707777126195e-10 & 9.13538885630976e-11 \tabularnewline
189 & 0.999999999924619 & 1.50761351165938e-10 & 7.53806755829688e-11 \tabularnewline
190 & 0.999999999960295 & 7.94100807065986e-11 & 3.97050403532993e-11 \tabularnewline
191 & 0.99999999992873 & 1.42540206807399e-10 & 7.12701034036997e-11 \tabularnewline
192 & 0.999999999895382 & 2.09235723751971e-10 & 1.04617861875985e-10 \tabularnewline
193 & 0.999999999821422 & 3.57156696354598e-10 & 1.78578348177299e-10 \tabularnewline
194 & 0.999999999697656 & 6.04688822245544e-10 & 3.02344411122772e-10 \tabularnewline
195 & 0.999999999929147 & 1.41705076359166e-10 & 7.08525381795832e-11 \tabularnewline
196 & 0.999999999916704 & 1.66591801492466e-10 & 8.32959007462328e-11 \tabularnewline
197 & 0.999999999846658 & 3.06684005671332e-10 & 1.53342002835666e-10 \tabularnewline
198 & 0.99999999976156 & 4.76880600443709e-10 & 2.38440300221854e-10 \tabularnewline
199 & 0.999999999673853 & 6.5229413051723e-10 & 3.26147065258615e-10 \tabularnewline
200 & 0.999999999680388 & 6.39223435564974e-10 & 3.19611717782487e-10 \tabularnewline
201 & 0.999999999398847 & 1.20230584052114e-09 & 6.01152920260572e-10 \tabularnewline
202 & 0.999999998969527 & 2.06094592702744e-09 & 1.03047296351372e-09 \tabularnewline
203 & 0.999999998436473 & 3.12705346128343e-09 & 1.56352673064171e-09 \tabularnewline
204 & 0.99999999910638 & 1.7872408068704e-09 & 8.93620403435199e-10 \tabularnewline
205 & 0.999999998777956 & 2.44408903202514e-09 & 1.22204451601257e-09 \tabularnewline
206 & 0.999999997834056 & 4.33188859983295e-09 & 2.16594429991647e-09 \tabularnewline
207 & 0.999999996377479 & 7.2450410717154e-09 & 3.6225205358577e-09 \tabularnewline
208 & 0.999999996852303 & 6.29539485393395e-09 & 3.14769742696697e-09 \tabularnewline
209 & 0.999999994336817 & 1.13263652887031e-08 & 5.66318264435157e-09 \tabularnewline
210 & 0.999999989983626 & 2.00327483983995e-08 & 1.00163741991997e-08 \tabularnewline
211 & 0.999999988950252 & 2.2099495332803e-08 & 1.10497476664015e-08 \tabularnewline
212 & 0.999999979657528 & 4.06849433094711e-08 & 2.03424716547355e-08 \tabularnewline
213 & 0.999999962079822 & 7.5840355284602e-08 & 3.7920177642301e-08 \tabularnewline
214 & 0.99999995953459 & 8.09308192905605e-08 & 4.04654096452802e-08 \tabularnewline
215 & 0.999999982534262 & 3.49314767325059e-08 & 1.74657383662529e-08 \tabularnewline
216 & 0.999999968898289 & 6.22034218206559e-08 & 3.11017109103279e-08 \tabularnewline
217 & 0.999999941459558 & 1.17080883873008e-07 & 5.8540441936504e-08 \tabularnewline
218 & 0.999999906409643 & 1.87180714210869e-07 & 9.35903571054347e-08 \tabularnewline
219 & 0.999999861244653 & 2.77510694681798e-07 & 1.38755347340899e-07 \tabularnewline
220 & 0.999999848049051 & 3.03901897470498e-07 & 1.51950948735249e-07 \tabularnewline
221 & 0.99999973337769 & 5.33244620147751e-07 & 2.66622310073876e-07 \tabularnewline
222 & 0.999999999997366 & 5.26765307859715e-12 & 2.63382653929857e-12 \tabularnewline
223 & 0.999999999996254 & 7.49245047935447e-12 & 3.74622523967724e-12 \tabularnewline
224 & 0.999999999998368 & 3.26427017369211e-12 & 1.63213508684605e-12 \tabularnewline
225 & 0.999999999996239 & 7.52285102953352e-12 & 3.76142551476676e-12 \tabularnewline
226 & 0.999999999991792 & 1.64158718482385e-11 & 8.20793592411927e-12 \tabularnewline
227 & 0.999999999985715 & 2.8570841037761e-11 & 1.42854205188805e-11 \tabularnewline
228 & 0.9999999999949 & 1.02009510490871e-11 & 5.10047552454356e-12 \tabularnewline
229 & 0.999999999999082 & 1.83688639444329e-12 & 9.18443197221646e-13 \tabularnewline
230 & 0.999999999998616 & 2.76710100112612e-12 & 1.38355050056306e-12 \tabularnewline
231 & 0.999999999996378 & 7.24340318612446e-12 & 3.62170159306223e-12 \tabularnewline
232 & 0.999999999992994 & 1.40125207916424e-11 & 7.0062603958212e-12 \tabularnewline
233 & 0.99999999999812 & 3.75927352396964e-12 & 1.87963676198482e-12 \tabularnewline
234 & 0.999999999994892 & 1.02152893036844e-11 & 5.10764465184222e-12 \tabularnewline
235 & 0.999999999996885 & 6.2299108431369e-12 & 3.11495542156845e-12 \tabularnewline
236 & 0.999999999995303 & 9.39321856613892e-12 & 4.69660928306946e-12 \tabularnewline
237 & 0.99999999998902 & 2.19601058469532e-11 & 1.09800529234766e-11 \tabularnewline
238 & 0.999999999970997 & 5.80066178662566e-11 & 2.90033089331283e-11 \tabularnewline
239 & 0.99999999992175 & 1.56500789596619e-10 & 7.82503947983096e-11 \tabularnewline
240 & 0.999999999932257 & 1.35485341762932e-10 & 6.77426708814658e-11 \tabularnewline
241 & 0.999999999857342 & 2.85316770399782e-10 & 1.42658385199891e-10 \tabularnewline
242 & 0.999999999636096 & 7.27808217093959e-10 & 3.6390410854698e-10 \tabularnewline
243 & 0.999999999581388 & 8.37223249011305e-10 & 4.18611624505652e-10 \tabularnewline
244 & 0.999999998884526 & 2.23094860231726e-09 & 1.11547430115863e-09 \tabularnewline
245 & 0.999999997410038 & 5.17992498959855e-09 & 2.58996249479928e-09 \tabularnewline
246 & 0.999999996033788 & 7.93242317642899e-09 & 3.9662115882145e-09 \tabularnewline
247 & 0.999999989657502 & 2.06849953735828e-08 & 1.03424976867914e-08 \tabularnewline
248 & 0.999999997045201 & 5.90959857904996e-09 & 2.95479928952498e-09 \tabularnewline
249 & 0.999999995937987 & 8.12402676092416e-09 & 4.06201338046208e-09 \tabularnewline
250 & 0.999999988909143 & 2.21817138058552e-08 & 1.10908569029276e-08 \tabularnewline
251 & 0.999999998561801 & 2.87639840335816e-09 & 1.43819920167908e-09 \tabularnewline
252 & 0.999999997636937 & 4.72612533201672e-09 & 2.36306266600836e-09 \tabularnewline
253 & 0.999999992833479 & 1.43330424881737e-08 & 7.16652124408686e-09 \tabularnewline
254 & 0.999999983286502 & 3.34269969923785e-08 & 1.67134984961892e-08 \tabularnewline
255 & 0.999999963569358 & 7.28612839322051e-08 & 3.64306419661026e-08 \tabularnewline
256 & 0.99999991507317 & 1.69853660851632e-07 & 8.4926830425816e-08 \tabularnewline
257 & 0.9999997885304 & 4.22939199530127e-07 & 2.11469599765064e-07 \tabularnewline
258 & 0.999999460729334 & 1.07854133216874e-06 & 5.39270666084372e-07 \tabularnewline
259 & 0.999999404740495 & 1.19051901049467e-06 & 5.95259505247334e-07 \tabularnewline
260 & 0.999998913690849 & 2.17261830234883e-06 & 1.08630915117442e-06 \tabularnewline
261 & 0.999997632344772 & 4.73531045641353e-06 & 2.36765522820677e-06 \tabularnewline
262 & 0.999993897937259 & 1.22041254819901e-05 & 6.10206274099505e-06 \tabularnewline
263 & 0.999984480772554 & 3.10384548920777e-05 & 1.55192274460388e-05 \tabularnewline
264 & 0.999985575531915 & 2.88489361691961e-05 & 1.44244680845981e-05 \tabularnewline
265 & 0.99996265020368 & 7.46995926396022e-05 & 3.73497963198011e-05 \tabularnewline
266 & 0.999906394039312 & 0.000187211921375557 & 9.36059606877786e-05 \tabularnewline
267 & 0.999809847702021 & 0.000380304595958289 & 0.000190152297979144 \tabularnewline
268 & 0.99981432506645 & 0.000371349867100151 & 0.000185674933550075 \tabularnewline
269 & 0.999974485059109 & 5.10298817819681e-05 & 2.55149408909841e-05 \tabularnewline
270 & 0.999907204767588 & 0.000185590464823879 & 9.27952324119396e-05 \tabularnewline
271 & 0.999680697693528 & 0.000638604612943177 & 0.000319302306471588 \tabularnewline
272 & 0.999496616097124 & 0.0010067678057521 & 0.000503383902876049 \tabularnewline
273 & 0.99842087032493 & 0.0031582593501397 & 0.00157912967506985 \tabularnewline
274 & 0.994801722025024 & 0.0103965559499521 & 0.00519827797497603 \tabularnewline
275 & 0.983853395742585 & 0.0322932085148303 & 0.0161466042574151 \tabularnewline
276 & 0.960328308603583 & 0.0793433827928335 & 0.0396716913964168 \tabularnewline
277 & 0.898656416080321 & 0.202687167839357 & 0.101343583919679 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160395&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]12[/C][C]0.0118200654698755[/C][C]0.023640130939751[/C][C]0.988179934530125[/C][/ROW]
[ROW][C]13[/C][C]0.00799167011649502[/C][C]0.01598334023299[/C][C]0.992008329883505[/C][/ROW]
[ROW][C]14[/C][C]0.00402373334421405[/C][C]0.0080474666884281[/C][C]0.995976266655786[/C][/ROW]
[ROW][C]15[/C][C]0.0397193642309417[/C][C]0.0794387284618833[/C][C]0.960280635769058[/C][/ROW]
[ROW][C]16[/C][C]0.0183180630746908[/C][C]0.0366361261493815[/C][C]0.981681936925309[/C][/ROW]
[ROW][C]17[/C][C]0.0164240019078459[/C][C]0.0328480038156919[/C][C]0.983575998092154[/C][/ROW]
[ROW][C]18[/C][C]0.0790647211714843[/C][C]0.158129442342969[/C][C]0.920935278828516[/C][/ROW]
[ROW][C]19[/C][C]0.0540900382838317[/C][C]0.108180076567663[/C][C]0.945909961716168[/C][/ROW]
[ROW][C]20[/C][C]0.273060569632447[/C][C]0.546121139264895[/C][C]0.726939430367553[/C][/ROW]
[ROW][C]21[/C][C]0.240160630271259[/C][C]0.480321260542518[/C][C]0.759839369728741[/C][/ROW]
[ROW][C]22[/C][C]0.2081839428089[/C][C]0.4163678856178[/C][C]0.7918160571911[/C][/ROW]
[ROW][C]23[/C][C]0.152549680618927[/C][C]0.305099361237853[/C][C]0.847450319381073[/C][/ROW]
[ROW][C]24[/C][C]0.401041708312881[/C][C]0.802083416625761[/C][C]0.598958291687119[/C][/ROW]
[ROW][C]25[/C][C]0.344206322049309[/C][C]0.688412644098618[/C][C]0.655793677950691[/C][/ROW]
[ROW][C]26[/C][C]0.295883535560167[/C][C]0.591767071120335[/C][C]0.704116464439833[/C][/ROW]
[ROW][C]27[/C][C]0.290014317016356[/C][C]0.580028634032712[/C][C]0.709985682983644[/C][/ROW]
[ROW][C]28[/C][C]0.242414114579426[/C][C]0.484828229158852[/C][C]0.757585885420574[/C][/ROW]
[ROW][C]29[/C][C]0.297045125092537[/C][C]0.594090250185074[/C][C]0.702954874907463[/C][/ROW]
[ROW][C]30[/C][C]0.25388120934181[/C][C]0.507762418683621[/C][C]0.74611879065819[/C][/ROW]
[ROW][C]31[/C][C]0.959469951748091[/C][C]0.0810600965038187[/C][C]0.0405300482519094[/C][/ROW]
[ROW][C]32[/C][C]0.961822454924239[/C][C]0.0763550901515222[/C][C]0.0381775450757611[/C][/ROW]
[ROW][C]33[/C][C]0.958332265009613[/C][C]0.0833354699807748[/C][C]0.0416677349903874[/C][/ROW]
[ROW][C]34[/C][C]0.962202224536135[/C][C]0.0755955509277307[/C][C]0.0377977754638654[/C][/ROW]
[ROW][C]35[/C][C]0.957167265766951[/C][C]0.0856654684660983[/C][C]0.0428327342330492[/C][/ROW]
[ROW][C]36[/C][C]0.952552227688089[/C][C]0.0948955446238223[/C][C]0.0474477723119112[/C][/ROW]
[ROW][C]37[/C][C]0.953489969983468[/C][C]0.0930200600330646[/C][C]0.0465100300165323[/C][/ROW]
[ROW][C]38[/C][C]0.939218676407327[/C][C]0.121562647185346[/C][C]0.0607813235926729[/C][/ROW]
[ROW][C]39[/C][C]0.971649149558366[/C][C]0.0567017008832682[/C][C]0.0283508504416341[/C][/ROW]
[ROW][C]40[/C][C]0.973645712449809[/C][C]0.0527085751003822[/C][C]0.0263542875501911[/C][/ROW]
[ROW][C]41[/C][C]0.965355522446143[/C][C]0.0692889551077134[/C][C]0.0346444775538567[/C][/ROW]
[ROW][C]42[/C][C]0.957017259261368[/C][C]0.0859654814772648[/C][C]0.0429827407386324[/C][/ROW]
[ROW][C]43[/C][C]0.946028460748159[/C][C]0.107943078503681[/C][C]0.0539715392518406[/C][/ROW]
[ROW][C]44[/C][C]0.933363424794448[/C][C]0.133273150411103[/C][C]0.0666365752055515[/C][/ROW]
[ROW][C]45[/C][C]0.920698107892747[/C][C]0.158603784214506[/C][C]0.0793018921072532[/C][/ROW]
[ROW][C]46[/C][C]0.903925063419988[/C][C]0.192149873160024[/C][C]0.0960749365800121[/C][/ROW]
[ROW][C]47[/C][C]0.90590935487657[/C][C]0.188181290246861[/C][C]0.0940906451234303[/C][/ROW]
[ROW][C]48[/C][C]0.953129489380997[/C][C]0.0937410212380071[/C][C]0.0468705106190035[/C][/ROW]
[ROW][C]49[/C][C]0.942885543874661[/C][C]0.114228912250678[/C][C]0.0571144561253388[/C][/ROW]
[ROW][C]50[/C][C]0.930141629552073[/C][C]0.139716740895854[/C][C]0.0698583704479268[/C][/ROW]
[ROW][C]51[/C][C]0.96651346339212[/C][C]0.0669730732157606[/C][C]0.0334865366078803[/C][/ROW]
[ROW][C]52[/C][C]0.966157518877056[/C][C]0.0676849622458887[/C][C]0.0338424811229443[/C][/ROW]
[ROW][C]53[/C][C]0.976327550471103[/C][C]0.0473448990577941[/C][C]0.023672449528897[/C][/ROW]
[ROW][C]54[/C][C]0.970531456866785[/C][C]0.0589370862664301[/C][C]0.029468543133215[/C][/ROW]
[ROW][C]55[/C][C]0.976521264919452[/C][C]0.0469574701610961[/C][C]0.0234787350805481[/C][/ROW]
[ROW][C]56[/C][C]0.980536857782675[/C][C]0.0389262844346509[/C][C]0.0194631422173254[/C][/ROW]
[ROW][C]57[/C][C]0.975546968847525[/C][C]0.0489060623049506[/C][C]0.0244530311524753[/C][/ROW]
[ROW][C]58[/C][C]0.973232502100346[/C][C]0.0535349957993082[/C][C]0.0267674978996541[/C][/ROW]
[ROW][C]59[/C][C]0.966053394508818[/C][C]0.0678932109823649[/C][C]0.0339466054911825[/C][/ROW]
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[ROW][C]120[/C][C]0.999999839029014[/C][C]3.21941971454229e-07[/C][C]1.60970985727114e-07[/C][/ROW]
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[ROW][C]122[/C][C]0.999999714683307[/C][C]5.70633385497518e-07[/C][C]2.85316692748759e-07[/C][/ROW]
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[ROW][C]124[/C][C]0.99999939587678[/C][C]1.20824644019047e-06[/C][C]6.04123220095237e-07[/C][/ROW]
[ROW][C]125[/C][C]0.999999987968197[/C][C]2.40636066216169e-08[/C][C]1.20318033108085e-08[/C][/ROW]
[ROW][C]126[/C][C]0.999999986023857[/C][C]2.79522864508473e-08[/C][C]1.39761432254237e-08[/C][/ROW]
[ROW][C]127[/C][C]0.999999982257867[/C][C]3.5484265951992e-08[/C][C]1.7742132975996e-08[/C][/ROW]
[ROW][C]128[/C][C]0.999999977825806[/C][C]4.43483887394546e-08[/C][C]2.21741943697273e-08[/C][/ROW]
[ROW][C]129[/C][C]0.999999979238102[/C][C]4.15237965509734e-08[/C][C]2.07618982754867e-08[/C][/ROW]
[ROW][C]130[/C][C]0.999999967443225[/C][C]6.51135497529184e-08[/C][C]3.25567748764592e-08[/C][/ROW]
[ROW][C]131[/C][C]0.999999950316427[/C][C]9.93671465637541e-08[/C][C]4.96835732818771e-08[/C][/ROW]
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[ROW][C]137[/C][C]0.999999996556918[/C][C]6.88616404383854e-09[/C][C]3.44308202191927e-09[/C][/ROW]
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[ROW][C]173[/C][C]0.99999999999522[/C][C]9.55965663972653e-12[/C][C]4.77982831986326e-12[/C][/ROW]
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[ROW][C]179[/C][C]0.999999999972845[/C][C]5.43091992641807e-11[/C][C]2.71545996320903e-11[/C][/ROW]
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[ROW][C]187[/C][C]0.99999999994534[/C][C]1.09319913209278e-10[/C][C]5.46599566046391e-11[/C][/ROW]
[ROW][C]188[/C][C]0.999999999908646[/C][C]1.82707777126195e-10[/C][C]9.13538885630976e-11[/C][/ROW]
[ROW][C]189[/C][C]0.999999999924619[/C][C]1.50761351165938e-10[/C][C]7.53806755829688e-11[/C][/ROW]
[ROW][C]190[/C][C]0.999999999960295[/C][C]7.94100807065986e-11[/C][C]3.97050403532993e-11[/C][/ROW]
[ROW][C]191[/C][C]0.99999999992873[/C][C]1.42540206807399e-10[/C][C]7.12701034036997e-11[/C][/ROW]
[ROW][C]192[/C][C]0.999999999895382[/C][C]2.09235723751971e-10[/C][C]1.04617861875985e-10[/C][/ROW]
[ROW][C]193[/C][C]0.999999999821422[/C][C]3.57156696354598e-10[/C][C]1.78578348177299e-10[/C][/ROW]
[ROW][C]194[/C][C]0.999999999697656[/C][C]6.04688822245544e-10[/C][C]3.02344411122772e-10[/C][/ROW]
[ROW][C]195[/C][C]0.999999999929147[/C][C]1.41705076359166e-10[/C][C]7.08525381795832e-11[/C][/ROW]
[ROW][C]196[/C][C]0.999999999916704[/C][C]1.66591801492466e-10[/C][C]8.32959007462328e-11[/C][/ROW]
[ROW][C]197[/C][C]0.999999999846658[/C][C]3.06684005671332e-10[/C][C]1.53342002835666e-10[/C][/ROW]
[ROW][C]198[/C][C]0.99999999976156[/C][C]4.76880600443709e-10[/C][C]2.38440300221854e-10[/C][/ROW]
[ROW][C]199[/C][C]0.999999999673853[/C][C]6.5229413051723e-10[/C][C]3.26147065258615e-10[/C][/ROW]
[ROW][C]200[/C][C]0.999999999680388[/C][C]6.39223435564974e-10[/C][C]3.19611717782487e-10[/C][/ROW]
[ROW][C]201[/C][C]0.999999999398847[/C][C]1.20230584052114e-09[/C][C]6.01152920260572e-10[/C][/ROW]
[ROW][C]202[/C][C]0.999999998969527[/C][C]2.06094592702744e-09[/C][C]1.03047296351372e-09[/C][/ROW]
[ROW][C]203[/C][C]0.999999998436473[/C][C]3.12705346128343e-09[/C][C]1.56352673064171e-09[/C][/ROW]
[ROW][C]204[/C][C]0.99999999910638[/C][C]1.7872408068704e-09[/C][C]8.93620403435199e-10[/C][/ROW]
[ROW][C]205[/C][C]0.999999998777956[/C][C]2.44408903202514e-09[/C][C]1.22204451601257e-09[/C][/ROW]
[ROW][C]206[/C][C]0.999999997834056[/C][C]4.33188859983295e-09[/C][C]2.16594429991647e-09[/C][/ROW]
[ROW][C]207[/C][C]0.999999996377479[/C][C]7.2450410717154e-09[/C][C]3.6225205358577e-09[/C][/ROW]
[ROW][C]208[/C][C]0.999999996852303[/C][C]6.29539485393395e-09[/C][C]3.14769742696697e-09[/C][/ROW]
[ROW][C]209[/C][C]0.999999994336817[/C][C]1.13263652887031e-08[/C][C]5.66318264435157e-09[/C][/ROW]
[ROW][C]210[/C][C]0.999999989983626[/C][C]2.00327483983995e-08[/C][C]1.00163741991997e-08[/C][/ROW]
[ROW][C]211[/C][C]0.999999988950252[/C][C]2.2099495332803e-08[/C][C]1.10497476664015e-08[/C][/ROW]
[ROW][C]212[/C][C]0.999999979657528[/C][C]4.06849433094711e-08[/C][C]2.03424716547355e-08[/C][/ROW]
[ROW][C]213[/C][C]0.999999962079822[/C][C]7.5840355284602e-08[/C][C]3.7920177642301e-08[/C][/ROW]
[ROW][C]214[/C][C]0.99999995953459[/C][C]8.09308192905605e-08[/C][C]4.04654096452802e-08[/C][/ROW]
[ROW][C]215[/C][C]0.999999982534262[/C][C]3.49314767325059e-08[/C][C]1.74657383662529e-08[/C][/ROW]
[ROW][C]216[/C][C]0.999999968898289[/C][C]6.22034218206559e-08[/C][C]3.11017109103279e-08[/C][/ROW]
[ROW][C]217[/C][C]0.999999941459558[/C][C]1.17080883873008e-07[/C][C]5.8540441936504e-08[/C][/ROW]
[ROW][C]218[/C][C]0.999999906409643[/C][C]1.87180714210869e-07[/C][C]9.35903571054347e-08[/C][/ROW]
[ROW][C]219[/C][C]0.999999861244653[/C][C]2.77510694681798e-07[/C][C]1.38755347340899e-07[/C][/ROW]
[ROW][C]220[/C][C]0.999999848049051[/C][C]3.03901897470498e-07[/C][C]1.51950948735249e-07[/C][/ROW]
[ROW][C]221[/C][C]0.99999973337769[/C][C]5.33244620147751e-07[/C][C]2.66622310073876e-07[/C][/ROW]
[ROW][C]222[/C][C]0.999999999997366[/C][C]5.26765307859715e-12[/C][C]2.63382653929857e-12[/C][/ROW]
[ROW][C]223[/C][C]0.999999999996254[/C][C]7.49245047935447e-12[/C][C]3.74622523967724e-12[/C][/ROW]
[ROW][C]224[/C][C]0.999999999998368[/C][C]3.26427017369211e-12[/C][C]1.63213508684605e-12[/C][/ROW]
[ROW][C]225[/C][C]0.999999999996239[/C][C]7.52285102953352e-12[/C][C]3.76142551476676e-12[/C][/ROW]
[ROW][C]226[/C][C]0.999999999991792[/C][C]1.64158718482385e-11[/C][C]8.20793592411927e-12[/C][/ROW]
[ROW][C]227[/C][C]0.999999999985715[/C][C]2.8570841037761e-11[/C][C]1.42854205188805e-11[/C][/ROW]
[ROW][C]228[/C][C]0.9999999999949[/C][C]1.02009510490871e-11[/C][C]5.10047552454356e-12[/C][/ROW]
[ROW][C]229[/C][C]0.999999999999082[/C][C]1.83688639444329e-12[/C][C]9.18443197221646e-13[/C][/ROW]
[ROW][C]230[/C][C]0.999999999998616[/C][C]2.76710100112612e-12[/C][C]1.38355050056306e-12[/C][/ROW]
[ROW][C]231[/C][C]0.999999999996378[/C][C]7.24340318612446e-12[/C][C]3.62170159306223e-12[/C][/ROW]
[ROW][C]232[/C][C]0.999999999992994[/C][C]1.40125207916424e-11[/C][C]7.0062603958212e-12[/C][/ROW]
[ROW][C]233[/C][C]0.99999999999812[/C][C]3.75927352396964e-12[/C][C]1.87963676198482e-12[/C][/ROW]
[ROW][C]234[/C][C]0.999999999994892[/C][C]1.02152893036844e-11[/C][C]5.10764465184222e-12[/C][/ROW]
[ROW][C]235[/C][C]0.999999999996885[/C][C]6.2299108431369e-12[/C][C]3.11495542156845e-12[/C][/ROW]
[ROW][C]236[/C][C]0.999999999995303[/C][C]9.39321856613892e-12[/C][C]4.69660928306946e-12[/C][/ROW]
[ROW][C]237[/C][C]0.99999999998902[/C][C]2.19601058469532e-11[/C][C]1.09800529234766e-11[/C][/ROW]
[ROW][C]238[/C][C]0.999999999970997[/C][C]5.80066178662566e-11[/C][C]2.90033089331283e-11[/C][/ROW]
[ROW][C]239[/C][C]0.99999999992175[/C][C]1.56500789596619e-10[/C][C]7.82503947983096e-11[/C][/ROW]
[ROW][C]240[/C][C]0.999999999932257[/C][C]1.35485341762932e-10[/C][C]6.77426708814658e-11[/C][/ROW]
[ROW][C]241[/C][C]0.999999999857342[/C][C]2.85316770399782e-10[/C][C]1.42658385199891e-10[/C][/ROW]
[ROW][C]242[/C][C]0.999999999636096[/C][C]7.27808217093959e-10[/C][C]3.6390410854698e-10[/C][/ROW]
[ROW][C]243[/C][C]0.999999999581388[/C][C]8.37223249011305e-10[/C][C]4.18611624505652e-10[/C][/ROW]
[ROW][C]244[/C][C]0.999999998884526[/C][C]2.23094860231726e-09[/C][C]1.11547430115863e-09[/C][/ROW]
[ROW][C]245[/C][C]0.999999997410038[/C][C]5.17992498959855e-09[/C][C]2.58996249479928e-09[/C][/ROW]
[ROW][C]246[/C][C]0.999999996033788[/C][C]7.93242317642899e-09[/C][C]3.9662115882145e-09[/C][/ROW]
[ROW][C]247[/C][C]0.999999989657502[/C][C]2.06849953735828e-08[/C][C]1.03424976867914e-08[/C][/ROW]
[ROW][C]248[/C][C]0.999999997045201[/C][C]5.90959857904996e-09[/C][C]2.95479928952498e-09[/C][/ROW]
[ROW][C]249[/C][C]0.999999995937987[/C][C]8.12402676092416e-09[/C][C]4.06201338046208e-09[/C][/ROW]
[ROW][C]250[/C][C]0.999999988909143[/C][C]2.21817138058552e-08[/C][C]1.10908569029276e-08[/C][/ROW]
[ROW][C]251[/C][C]0.999999998561801[/C][C]2.87639840335816e-09[/C][C]1.43819920167908e-09[/C][/ROW]
[ROW][C]252[/C][C]0.999999997636937[/C][C]4.72612533201672e-09[/C][C]2.36306266600836e-09[/C][/ROW]
[ROW][C]253[/C][C]0.999999992833479[/C][C]1.43330424881737e-08[/C][C]7.16652124408686e-09[/C][/ROW]
[ROW][C]254[/C][C]0.999999983286502[/C][C]3.34269969923785e-08[/C][C]1.67134984961892e-08[/C][/ROW]
[ROW][C]255[/C][C]0.999999963569358[/C][C]7.28612839322051e-08[/C][C]3.64306419661026e-08[/C][/ROW]
[ROW][C]256[/C][C]0.99999991507317[/C][C]1.69853660851632e-07[/C][C]8.4926830425816e-08[/C][/ROW]
[ROW][C]257[/C][C]0.9999997885304[/C][C]4.22939199530127e-07[/C][C]2.11469599765064e-07[/C][/ROW]
[ROW][C]258[/C][C]0.999999460729334[/C][C]1.07854133216874e-06[/C][C]5.39270666084372e-07[/C][/ROW]
[ROW][C]259[/C][C]0.999999404740495[/C][C]1.19051901049467e-06[/C][C]5.95259505247334e-07[/C][/ROW]
[ROW][C]260[/C][C]0.999998913690849[/C][C]2.17261830234883e-06[/C][C]1.08630915117442e-06[/C][/ROW]
[ROW][C]261[/C][C]0.999997632344772[/C][C]4.73531045641353e-06[/C][C]2.36765522820677e-06[/C][/ROW]
[ROW][C]262[/C][C]0.999993897937259[/C][C]1.22041254819901e-05[/C][C]6.10206274099505e-06[/C][/ROW]
[ROW][C]263[/C][C]0.999984480772554[/C][C]3.10384548920777e-05[/C][C]1.55192274460388e-05[/C][/ROW]
[ROW][C]264[/C][C]0.999985575531915[/C][C]2.88489361691961e-05[/C][C]1.44244680845981e-05[/C][/ROW]
[ROW][C]265[/C][C]0.99996265020368[/C][C]7.46995926396022e-05[/C][C]3.73497963198011e-05[/C][/ROW]
[ROW][C]266[/C][C]0.999906394039312[/C][C]0.000187211921375557[/C][C]9.36059606877786e-05[/C][/ROW]
[ROW][C]267[/C][C]0.999809847702021[/C][C]0.000380304595958289[/C][C]0.000190152297979144[/C][/ROW]
[ROW][C]268[/C][C]0.99981432506645[/C][C]0.000371349867100151[/C][C]0.000185674933550075[/C][/ROW]
[ROW][C]269[/C][C]0.999974485059109[/C][C]5.10298817819681e-05[/C][C]2.55149408909841e-05[/C][/ROW]
[ROW][C]270[/C][C]0.999907204767588[/C][C]0.000185590464823879[/C][C]9.27952324119396e-05[/C][/ROW]
[ROW][C]271[/C][C]0.999680697693528[/C][C]0.000638604612943177[/C][C]0.000319302306471588[/C][/ROW]
[ROW][C]272[/C][C]0.999496616097124[/C][C]0.0010067678057521[/C][C]0.000503383902876049[/C][/ROW]
[ROW][C]273[/C][C]0.99842087032493[/C][C]0.0031582593501397[/C][C]0.00157912967506985[/C][/ROW]
[ROW][C]274[/C][C]0.994801722025024[/C][C]0.0103965559499521[/C][C]0.00519827797497603[/C][/ROW]
[ROW][C]275[/C][C]0.983853395742585[/C][C]0.0322932085148303[/C][C]0.0161466042574151[/C][/ROW]
[ROW][C]276[/C][C]0.960328308603583[/C][C]0.0793433827928335[/C][C]0.0396716913964168[/C][/ROW]
[ROW][C]277[/C][C]0.898656416080321[/C][C]0.202687167839357[/C][C]0.101343583919679[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160395&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160395&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
120.01182006546987550.0236401309397510.988179934530125
130.007991670116495020.015983340232990.992008329883505
140.004023733344214050.00804746668842810.995976266655786
150.03971936423094170.07943872846188330.960280635769058
160.01831806307469080.03663612614938150.981681936925309
170.01642400190784590.03284800381569190.983575998092154
180.07906472117148430.1581294423429690.920935278828516
190.05409003828383170.1081800765676630.945909961716168
200.2730605696324470.5461211392648950.726939430367553
210.2401606302712590.4803212605425180.759839369728741
220.20818394280890.41636788561780.7918160571911
230.1525496806189270.3050993612378530.847450319381073
240.4010417083128810.8020834166257610.598958291687119
250.3442063220493090.6884126440986180.655793677950691
260.2958835355601670.5917670711203350.704116464439833
270.2900143170163560.5800286340327120.709985682983644
280.2424141145794260.4848282291588520.757585885420574
290.2970451250925370.5940902501850740.702954874907463
300.253881209341810.5077624186836210.74611879065819
310.9594699517480910.08106009650381870.0405300482519094
320.9618224549242390.07635509015152220.0381775450757611
330.9583322650096130.08333546998077480.0416677349903874
340.9622022245361350.07559555092773070.0377977754638654
350.9571672657669510.08566546846609830.0428327342330492
360.9525522276880890.09489554462382230.0474477723119112
370.9534899699834680.09302006003306460.0465100300165323
380.9392186764073270.1215626471853460.0607813235926729
390.9716491495583660.05670170088326820.0283508504416341
400.9736457124498090.05270857510038220.0263542875501911
410.9653555224461430.06928895510771340.0346444775538567
420.9570172592613680.08596548147726480.0429827407386324
430.9460284607481590.1079430785036810.0539715392518406
440.9333634247944480.1332731504111030.0666365752055515
450.9206981078927470.1586037842145060.0793018921072532
460.9039250634199880.1921498731600240.0960749365800121
470.905909354876570.1881812902468610.0940906451234303
480.9531294893809970.09374102123800710.0468705106190035
490.9428855438746610.1142289122506780.0571144561253388
500.9301416295520730.1397167408958540.0698583704479268
510.966513463392120.06697307321576060.0334865366078803
520.9661575188770560.06768496224588870.0338424811229443
530.9763275504711030.04734489905779410.023672449528897
540.9705314568667850.05893708626643010.029468543133215
550.9765212649194520.04695747016109610.0234787350805481
560.9805368577826750.03892628443465090.0194631422173254
570.9755469688475250.04890606230495060.0244530311524753
580.9732325021003460.05353499579930820.0267674978996541
590.9660533945088180.06789321098236490.0339466054911825
600.957519220693180.08496155861364050.0424807793068203
610.9488331841526050.1023336316947890.0511668158473947
620.9638384129821160.07232317403576870.0361615870178844
630.9645270073857450.070945985228510.035472992614255
640.9570601083411640.08587978331767270.0429398916588364
650.955469710470990.08906057905801980.0445302895290099
660.9485200458334830.1029599083330340.0514799541665171
670.9411925360301410.1176149279397180.0588074639698592
680.9491129960148980.1017740079702040.0508870039851018
690.9618476432570560.07630471348588750.0381523567429437
700.9537922684877770.09241546302444650.0462077315122232
710.9438574957782290.1122850084435420.0561425042217708
720.9566208017848660.0867583964302690.0433791982151345
730.9648357058954340.07032858820913240.0351642941045662
740.9751026738069740.04979465238605250.0248973261930262
750.9691143410107840.06177131797843140.0308856589892157
760.9874089781043470.02518204379130550.0125910218956528
770.9842725891590590.03145482168188220.0157274108409411
780.9801929926034790.03961401479304160.0198070073965208
790.9769223278007840.04615534439843120.0230776721992156
800.9714375975598390.05712480488032140.0285624024401607
810.9717290663199690.05654186736006140.0282709336800307
820.9824646897510780.03507062049784330.0175353102489217
830.9812184698741210.0375630602517590.0187815301258795
840.9770775226301470.04584495473970550.0229224773698528
850.9968687561118420.00626248777631620.0031312438881581
860.9971741153207910.005651769358417770.00282588467920889
870.9969187001864410.006162599627117770.00308129981355889
880.9959561855954940.00808762880901150.00404381440450575
890.9947222686305490.01055546273890220.0052777313694511
900.9935650594667460.01286988106650880.00643494053325442
910.9931716724613210.01365665507735720.0068283275386786
920.991293734873540.01741253025291970.00870626512645983
930.9914427918967030.01711441620659350.00855720810329674
940.9891377104465390.02172457910692240.0108622895534612
950.9868868417060830.02622631658783410.0131131582939171
960.9861003230368710.02779935392625850.0138996769631292
970.9931245673801150.01375086523977090.00687543261988546
980.9997615961905820.0004768076188360130.000238403809418006
990.9996702064260730.0006595871478531150.000329793573926557
1000.999894599667830.0002108006643407860.000105400332170393
1010.9998628674354460.0002742651291080230.000137132564554012
1020.9999127755568960.0001744488862073678.72244431036833e-05
1030.999889013104630.0002219737907400390.00011098689537002
1040.9998463759586550.0003072480826910010.000153624041345501
1050.9998310229681520.0003379540636963680.000168977031848184
1060.99986912876920.0002617424615996450.000130871230799822
1070.9998368548211130.0003262903577738420.000163145178886921
1080.9997977662006750.0004044675986500730.000202233799325037
1090.9997566944352530.0004866111294934150.000243305564746708
1100.9996740013887120.0006519972225761510.000325998611288076
1110.9996497503445640.0007004993108718290.000350249655435915
1120.9995795920920910.000840815815818770.000420407907909385
1130.9995801765626560.0008396468746871380.000419823437343569
1140.9994364140147820.001127171970435260.000563585985217629
1150.9996347504864630.0007304990270745540.000365249513537277
1160.9995070883807760.0009858232384489780.000492911619224489
1170.9993487414434090.001302517113180990.000651258556590493
1180.9992642074663340.001471585067331310.000735792533665653
1190.9999998751359522.49728096327853e-071.24864048163926e-07
1200.9999998390290143.21941971454229e-071.60970985727114e-07
1210.9999997510914134.9781717293231e-072.48908586466155e-07
1220.9999997146833075.70633385497518e-072.85316692748759e-07
1230.9999995957577378.08484525056504e-074.04242262528252e-07
1240.999999395876781.20824644019047e-066.04123220095237e-07
1250.9999999879681972.40636066216169e-081.20318033108085e-08
1260.9999999860238572.79522864508473e-081.39761432254237e-08
1270.9999999822578673.5484265951992e-081.7742132975996e-08
1280.9999999778258064.43483887394546e-082.21741943697273e-08
1290.9999999792381024.15237965509734e-082.07618982754867e-08
1300.9999999674432256.51135497529184e-083.25567748764592e-08
1310.9999999503164279.93671465637541e-084.96835732818771e-08
1320.9999999478647081.04270584696771e-075.21352923483855e-08
1330.9999999192014761.61597047097007e-078.07985235485034e-08
1340.9999999121319881.7573602334653e-078.78680116732651e-08
1350.999999987902662.41946793144629e-081.20973396572315e-08
1360.9999999978815994.2368025739012e-092.1184012869506e-09
1370.9999999965569186.88616404383854e-093.44308202191927e-09
1380.9999999984956413.00871829055562e-091.50435914527781e-09
1390.999999997840674.31866048795031e-092.15933024397515e-09
1400.9999999975302464.93950753143294e-092.46975376571647e-09
1410.9999999960087277.98254655615117e-093.99127327807559e-09
1420.9999999934548931.3090214088731e-086.54510704436551e-09
1430.999999991719241.65615201209477e-088.28076006047384e-09
1440.9999999961457417.7085188658165e-093.85425943290825e-09
1450.9999999947212191.05575614632559e-085.27878073162797e-09
1460.9999999934922811.30154386717522e-086.50771933587608e-09
1470.9999999943279731.13440548555789e-085.67202742778945e-09
1480.9999999912079571.75840857229226e-088.79204286146128e-09
1490.9999999857654762.84690473778281e-081.4234523688914e-08
1500.9999999765820134.68359731361213e-082.34179865680606e-08
1510.9999999622955227.54089554328917e-083.77044777164458e-08
1520.9999999428212821.14357435839741e-075.71787179198703e-08
1530.99999990921791.81564199549899e-079.07820997749494e-08
1540.9999998806200582.3875988410158e-071.1937994205079e-07
1550.9999999956327848.73443141408903e-094.36721570704451e-09
1560.9999999986540192.69196207349269e-091.34598103674635e-09
1570.9999999994011581.19768389984307e-095.98841949921537e-10
1580.9999999990192451.96151047911432e-099.80755239557161e-10
1590.999999998566492.86702041227136e-091.43351020613568e-09
1600.9999999983314963.33700886449005e-091.66850443224502e-09
1610.9999999987311812.53763723584946e-091.26881861792473e-09
1620.9999999983248833.35023503663705e-091.67511751831853e-09
1630.9999999974493385.10132336551715e-092.55066168275857e-09
1640.9999999980713863.85722743696138e-091.92861371848069e-09
1650.9999999978409914.31801828145724e-092.15900914072862e-09
1660.9999999994555681.08886362123346e-095.4443181061673e-10
1670.9999999991458241.70835136699777e-098.54175683498886e-10
1680.9999999994983581.0032831949504e-095.01641597475201e-10
1690.9999999997774564.45088964488735e-102.22544482244368e-10
1700.9999999998964812.07038169530522e-101.03519084765261e-10
1710.9999999998776862.44629048326372e-101.22314524163186e-10
1720.9999999999513349.73317986169617e-114.86658993084809e-11
1730.999999999995229.55965663972653e-124.77982831986326e-12
1740.9999999999909951.80097202492228e-119.00486012461139e-12
1750.9999999999970225.95587727574651e-122.97793863787325e-12
1760.9999999999952099.5816698864374e-124.7908349432187e-12
1770.9999999999916771.66456777850759e-118.32283889253796e-12
1780.9999999999842113.15778260915897e-111.57889130457948e-11
1790.9999999999728455.43091992641807e-112.71545996320903e-11
1800.9999999999731875.36250552910517e-112.68125276455258e-11
1810.9999999999632997.34024845862922e-113.67012422931461e-11
1820.9999999999796554.06907814315784e-112.03453907157892e-11
1830.9999999999657616.84779156027357e-113.42389578013678e-11
1840.9999999999523079.5386716509047e-114.76933582545235e-11
1850.99999999998463.08007797397137e-111.54003898698568e-11
1860.9999999999700915.98181544244998e-112.99090772122499e-11
1870.999999999945341.09319913209278e-105.46599566046391e-11
1880.9999999999086461.82707777126195e-109.13538885630976e-11
1890.9999999999246191.50761351165938e-107.53806755829688e-11
1900.9999999999602957.94100807065986e-113.97050403532993e-11
1910.999999999928731.42540206807399e-107.12701034036997e-11
1920.9999999998953822.09235723751971e-101.04617861875985e-10
1930.9999999998214223.57156696354598e-101.78578348177299e-10
1940.9999999996976566.04688822245544e-103.02344411122772e-10
1950.9999999999291471.41705076359166e-107.08525381795832e-11
1960.9999999999167041.66591801492466e-108.32959007462328e-11
1970.9999999998466583.06684005671332e-101.53342002835666e-10
1980.999999999761564.76880600443709e-102.38440300221854e-10
1990.9999999996738536.5229413051723e-103.26147065258615e-10
2000.9999999996803886.39223435564974e-103.19611717782487e-10
2010.9999999993988471.20230584052114e-096.01152920260572e-10
2020.9999999989695272.06094592702744e-091.03047296351372e-09
2030.9999999984364733.12705346128343e-091.56352673064171e-09
2040.999999999106381.7872408068704e-098.93620403435199e-10
2050.9999999987779562.44408903202514e-091.22204451601257e-09
2060.9999999978340564.33188859983295e-092.16594429991647e-09
2070.9999999963774797.2450410717154e-093.6225205358577e-09
2080.9999999968523036.29539485393395e-093.14769742696697e-09
2090.9999999943368171.13263652887031e-085.66318264435157e-09
2100.9999999899836262.00327483983995e-081.00163741991997e-08
2110.9999999889502522.2099495332803e-081.10497476664015e-08
2120.9999999796575284.06849433094711e-082.03424716547355e-08
2130.9999999620798227.5840355284602e-083.7920177642301e-08
2140.999999959534598.09308192905605e-084.04654096452802e-08
2150.9999999825342623.49314767325059e-081.74657383662529e-08
2160.9999999688982896.22034218206559e-083.11017109103279e-08
2170.9999999414595581.17080883873008e-075.8540441936504e-08
2180.9999999064096431.87180714210869e-079.35903571054347e-08
2190.9999998612446532.77510694681798e-071.38755347340899e-07
2200.9999998480490513.03901897470498e-071.51950948735249e-07
2210.999999733377695.33244620147751e-072.66622310073876e-07
2220.9999999999973665.26765307859715e-122.63382653929857e-12
2230.9999999999962547.49245047935447e-123.74622523967724e-12
2240.9999999999983683.26427017369211e-121.63213508684605e-12
2250.9999999999962397.52285102953352e-123.76142551476676e-12
2260.9999999999917921.64158718482385e-118.20793592411927e-12
2270.9999999999857152.8570841037761e-111.42854205188805e-11
2280.99999999999491.02009510490871e-115.10047552454356e-12
2290.9999999999990821.83688639444329e-129.18443197221646e-13
2300.9999999999986162.76710100112612e-121.38355050056306e-12
2310.9999999999963787.24340318612446e-123.62170159306223e-12
2320.9999999999929941.40125207916424e-117.0062603958212e-12
2330.999999999998123.75927352396964e-121.87963676198482e-12
2340.9999999999948921.02152893036844e-115.10764465184222e-12
2350.9999999999968856.2299108431369e-123.11495542156845e-12
2360.9999999999953039.39321856613892e-124.69660928306946e-12
2370.999999999989022.19601058469532e-111.09800529234766e-11
2380.9999999999709975.80066178662566e-112.90033089331283e-11
2390.999999999921751.56500789596619e-107.82503947983096e-11
2400.9999999999322571.35485341762932e-106.77426708814658e-11
2410.9999999998573422.85316770399782e-101.42658385199891e-10
2420.9999999996360967.27808217093959e-103.6390410854698e-10
2430.9999999995813888.37223249011305e-104.18611624505652e-10
2440.9999999988845262.23094860231726e-091.11547430115863e-09
2450.9999999974100385.17992498959855e-092.58996249479928e-09
2460.9999999960337887.93242317642899e-093.9662115882145e-09
2470.9999999896575022.06849953735828e-081.03424976867914e-08
2480.9999999970452015.90959857904996e-092.95479928952498e-09
2490.9999999959379878.12402676092416e-094.06201338046208e-09
2500.9999999889091432.21817138058552e-081.10908569029276e-08
2510.9999999985618012.87639840335816e-091.43819920167908e-09
2520.9999999976369374.72612533201672e-092.36306266600836e-09
2530.9999999928334791.43330424881737e-087.16652124408686e-09
2540.9999999832865023.34269969923785e-081.67134984961892e-08
2550.9999999635693587.28612839322051e-083.64306419661026e-08
2560.999999915073171.69853660851632e-078.4926830425816e-08
2570.99999978853044.22939199530127e-072.11469599765064e-07
2580.9999994607293341.07854133216874e-065.39270666084372e-07
2590.9999994047404951.19051901049467e-065.95259505247334e-07
2600.9999989136908492.17261830234883e-061.08630915117442e-06
2610.9999976323447724.73531045641353e-062.36765522820677e-06
2620.9999938979372591.22041254819901e-056.10206274099505e-06
2630.9999844807725543.10384548920777e-051.55192274460388e-05
2640.9999855755319152.88489361691961e-051.44244680845981e-05
2650.999962650203687.46995926396022e-053.73497963198011e-05
2660.9999063940393120.0001872119213755579.36059606877786e-05
2670.9998098477020210.0003803045959582890.000190152297979144
2680.999814325066450.0003713498671001510.000185674933550075
2690.9999744850591095.10298817819681e-052.55149408909841e-05
2700.9999072047675880.0001855904648238799.27952324119396e-05
2710.9996806976935280.0006386046129431770.000319302306471588
2720.9994966160971240.00100676780575210.000503383902876049
2730.998420870324930.00315825935013970.00157912967506985
2740.9948017220250240.01039655594995210.00519827797497603
2750.9838533957425850.03229320851483030.0161466042574151
2760.9603283086035830.07934338279283350.0396716913964168
2770.8986564160803210.2026871678393570.101343583919679






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1810.680451127819549NOK
5% type I error level2080.781954887218045NOK
10% type I error level2390.898496240601504NOK

\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 & 181 & 0.680451127819549 & NOK \tabularnewline
5% type I error level & 208 & 0.781954887218045 & NOK \tabularnewline
10% type I error level & 239 & 0.898496240601504 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160395&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]181[/C][C]0.680451127819549[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]208[/C][C]0.781954887218045[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]239[/C][C]0.898496240601504[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160395&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160395&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 level1810.680451127819549NOK
5% type I error level2080.781954887218045NOK
10% type I error level2390.898496240601504NOK


Figures (Output of Computation)

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Figure 10
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Input Parameters & R Code

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