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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationTue, 18 Dec 2012 11:37:03 -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/2012/Dec/18/t1355850127swegoyzsa28k2c1.htm/, Retrieved Fri, 19 Apr 2024 09:32:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=201504, Retrieved Fri, 19 Apr 2024 09:32:36 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact159

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [Paper: Deel 3 - M...] [2012-12-18 16:37:03] [d4fa74adfb78d9d8ef512a6958d64ed4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
210907	56	396	81	3	79	30	115	94
120982	56	297	55	4	58	28	109	103
176508	54	559	50	12	60	38	146	93
179321	89	967	125	2	108	30	116	103
123185	40	270	40	1	49	22	68	51
52746	25	143	37	3	0	26	101	70
385534	92	1562	63	0	121	25	96	91
33170	18	109	44	0	1	18	67	22
101645	63	371	88	0	20	11	44	38
149061	44	656	66	5	43	26	100	93
165446	33	511	57	0	69	25	93	60
237213	84	655	74	0	78	38	140	123
173326	88	465	49	7	86	44	166	148
133131	55	525	52	7	44	30	99	90
258873	60	885	88	3	104	40	139	124
180083	66	497	36	9	63	34	130	70
324799	154	1436	108	0	158	47	181	168
230964	53	612	43	4	102	30	116	115
236785	119	865	75	3	77	31	116	71
135473	41	385	32	0	82	23	88	66
202925	61	567	44	7	115	36	139	134
215147	58	639	85	0	101	36	135	117
344297	75	963	86	1	80	30	108	108
153935	33	398	56	5	50	25	89	84
132943	40	410	50	7	83	39	156	156
174724	92	966	135	0	123	34	129	120
174415	100	801	63	0	73	31	118	114
225548	112	892	81	5	81	31	118	94
223632	73	513	52	0	105	33	125	120
124817	40	469	44	0	47	25	95	81
221698	45	683	113	0	105	33	126	110
210767	60	643	39	3	94	35	135	133
170266	62	535	73	4	44	42	154	122
260561	75	625	48	1	114	43	165	158
84853	31	264	33	4	38	30	113	109
294424	77	992	59	2	107	33	127	124
101011	34	238	41	0	30	13	52	39
215641	46	818	69	0	71	32	121	92
325107	99	937	64	0	84	36	136	126
7176	17	70	1	0	0	0	0	0
167542	66	507	59	2	59	28	108	70
106408	30	260	32	1	33	14	46	37
96560	76	503	129	0	42	17	54	38
265769	146	927	37	2	96	32	124	120
269651	67	1269	31	10	106	30	115	93
149112	56	537	65	6	56	35	128	95
175824	107	910	107	0	57	20	80	77
152871	58	532	74	5	59	28	97	90
111665	34	345	54	4	39	28	104	80
116408	61	918	76	1	34	39	59	31
362301	119	1635	715	2	76	34	125	110
78800	42	330	57	2	20	26	82	66
183167	66	557	66	0	91	39	149	138
277965	89	1178	106	8	115	39	149	133
150629	44	740	54	3	85	33	122	113
168809	66	452	32	0	76	28	118	100
24188	24	218	20	0	8	4	12	7
329267	259	764	71	8	79	39	144	140
65029	17	255	21	5	21	18	67	61
101097	64	454	70	3	30	14	52	41
218946	41	866	112	1	76	29	108	96
244052	68	574	66	5	101	44	166	164
341570	168	1276	190	1	94	21	80	78
103597	43	379	66	1	27	16	60	49
233328	132	825	165	5	92	28	107	102
256462	105	798	56	0	123	35	127	124
206161	71	663	61	12	75	28	107	99
311473	112	1069	53	8	128	38	146	129
235800	94	921	127	8	105	23	84	62
177939	82	858	63	8	55	36	141	73
207176	70	711	38	8	56	32	123	114
196553	57	503	50	2	41	29	111	99
174184	53	382	52	0	72	25	98	70
143246	103	464	42	5	67	27	105	104
187559	121	717	76	8	75	36	135	116
187681	62	690	67	2	114	28	107	91
119016	52	462	50	5	118	23	85	74
182192	52	657	53	12	77	40	155	138
73566	32	385	39	6	22	23	88	67
194979	62	577	50	7	66	40	155	151
167488	45	619	77	2	69	28	104	72
143756	46	479	57	0	105	34	132	120
275541	63	817	73	4	116	33	127	115
243199	75	752	34	3	88	28	108	105
182999	88	430	39	6	73	34	129	104
135649	46	451	46	2	99	30	116	108
152299	53	537	63	0	62	33	122	98
120221	37	519	35	1	53	22	85	69
346485	90	1000	106	0	118	38	147	111
145790	63	637	43	5	30	26	99	99
193339	78	465	47	2	100	35	87	71
80953	25	437	31	0	49	8	28	27
122774	45	711	162	0	24	24	90	69
130585	46	299	57	5	67	29	109	107
112611	41	248	36	0	46	20	78	73
286468	144	1162	263	1	57	29	111	107
241066	82	714	78	0	75	45	158	93
148446	91	905	63	1	135	37	141	129
204713	71	649	54	1	68	33	122	69
182079	63	512	63	2	124	33	124	118
140344	53	472	77	6	33	25	93	73
220516	62	905	79	1	98	32	124	119
243060	63	786	110	4	58	29	112	104
162765	32	489	56	2	68	28	108	107
182613	39	479	56	3	81	28	99	99
232138	62	617	43	0	131	31	117	90
265318	117	925	111	10	110	52	199	197
85574	34	351	71	0	37	21	78	36
310839	92	1144	62	9	130	24	91	85
225060	93	669	56	7	93	41	158	139
232317	54	707	74	0	118	33	126	106
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43287	14	214	43	4	13	19	71	64
155754	61	599	68	4	74	20	75	31
164709	109	572	53	0	81	31	115	63
201940	38	897	87	0	109	31	119	92
235454	73	819	46	0	151	32	124	106
220801	75	720	105	1	51	18	72	63
99466	50	273	32	0	28	23	91	69
92661	61	508	133	1	40	17	45	41
133328	55	506	79	0	56	20	78	56
61361	77	451	51	0	27	12	39	25
125930	75	699	207	4	37	17	68	65
100750	72	407	67	0	83	30	119	93
224549	50	465	47	4	54	31	117	114
82316	32	245	34	4	27	10	39	38
102010	53	370	66	3	28	13	50	44
101523	42	316	76	0	59	22	88	87
243511	71	603	65	0	133	42	155	110
22938	10	154	9	0	12	1	0	0
41566	35	229	42	5	0	9	36	27
152474	65	577	45	0	106	32	123	83
61857	25	192	25	4	23	11	32	30
99923	66	617	115	0	44	25	99	80
132487	41	411	97	0	71	36	136	98
317394	86	975	53	1	116	31	117	82
21054	16	146	2	0	4	0	0	0
209641	42	705	52	5	62	24	88	60
22648	19	184	44	0	12	13	39	28
31414	19	200	22	0	18	8	25	9
46698	45	274	35	0	14	13	52	33
131698	65	502	74	0	60	19	75	59
91735	35	382	103	0	7	18	71	49
244749	95	964	144	2	98	33	124	115
184510	49	537	60	7	64	40	151	140
79863	37	438	134	1	29	22	71	49
128423	64	369	89	8	32	38	145	120
97839	38	417	42	2	25	24	87	66
38214	34	276	52	0	16	8	27	21
151101	32	514	98	2	48	35	131	124
272458	65	822	99	0	100	43	162	152
172494	52	389	52	0	46	43	165	139
108043	62	466	29	1	45	14	54	38
328107	65	1255	125	3	129	41	159	144
250579	83	694	106	0	130	38	147	120
351067	95	1024	95	3	136	45	170	160
158015	29	400	40	0	59	31	119	114
98866	18	397	140	0	25	13	49	39
85439	33	350	43	0	32	28	104	78
229242	247	719	128	4	63	31	120	119
351619	139	1277	142	4	95	40	150	141
84207	29	356	73	11	14	30	112	101
120445	118	457	72	0	36	16	59	56
324598	110	1402	128	0	113	37	136	133
131069	67	600	61	4	47	30	107	83
204271	42	480	73	0	92	35	130	116
165543	65	595	148	1	70	32	115	90
141722	94	436	64	0	19	27	107	36
116048	64	230	45	0	50	20	75	50
250047	81	651	58	0	41	18	71	61
299775	95	1367	97	9	91	31	120	97
195838	67	564	50	1	111	31	116	98
173260	63	716	37	3	41	21	79	78
254488	83	747	50	10	120	39	150	117
104389	45	467	105	5	135	41	156	148
136084	30	671	69	0	27	13	51	41
199476	70	861	46	2	87	32	118	105
92499	32	319	57	0	25	18	71	55
224330	83	612	52	1	131	39	144	132
135781	31	433	98	2	45	14	47	44
74408	67	434	61	4	29	7	28	21
81240	66	503	89	0	58	17	68	50
14688	10	85	0	0	4	0	0	0
181633	70	564	48	2	47	30	110	73
271856	103	824	91	1	109	37	147	86
7199	5	74	0	0	7	0	0	0
46660	20	259	7	0	12	5	15	13
17547	5	69	3	0	0	1	4	4
133368	36	535	54	1	37	16	64	57
95227	34	239	70	0	37	32	111	48
152601	48	438	36	2	46	24	85	46
98146	40	459	37	0	15	17	68	48
79619	43	426	123	3	42	11	40	32
59194	31	288	247	6	7	24	80	68
139942	42	498	46	0	54	22	88	87
118612	46	454	72	2	54	12	48	43
72880	33	376	41	0	14	19	76	67
65475	18	225	24	2	16	13	51	46
99643	55	555	45	1	33	17	67	46
71965	35	252	33	1	32	15	59	56
77272	59	208	27	2	21	16	61	48
49289	19	130	36	1	15	24	76	44
135131	66	481	87	0	38	15	60	60
108446	60	389	90	1	22	17	68	65
89746	36	565	114	3	28	18	71	55
44296	25	173	31	0	10	20	76	38
77648	47	278	45	0	31	16	62	52
181528	54	609	69	0	32	16	61	60
134019	53	422	51	0	32	18	67	54
124064	40	445	34	1	43	22	88	86
92630	40	387	60	4	27	8	30	24
121848	39	339	45	0	37	17	64	52
52915	14	181	54	0	20	18	68	49
81872	45	245	25	0	32	16	64	61
58981	36	384	38	7	0	23	91	61
53515	28	212	52	2	5	22	88	81
60812	44	399	67	0	26	13	52	43
56375	30	229	74	7	10	13	49	40
65490	22	224	38	3	27	16	62	40
80949	17	203	30	0	11	16	61	56
76302	31	333	26	0	29	20	76	68
104011	55	384	67	6	25	22	88	79
98104	54	636	132	2	55	17	66	47
67989	21	185	42	0	23	18	71	57
30989	14	93	35	0	5	17	68	41
135458	81	581	118	3	43	12	48	29
73504	35	248	68	0	23	7	25	3
63123	43	304	43	1	34	17	68	60
61254	46	344	76	1	36	14	41	30
74914	30	407	64	0	35	23	90	79
31774	23	170	48	1	0	17	66	47
81437	38	312	64	0	37	14	54	40
87186	54	507	56	0	28	15	59	48
50090	20	224	71	0	16	17	60	36
65745	53	340	75	0	26	21	77	42
56653	45	168	39	0	38	18	68	49
158399	39	443	42	0	23	18	72	57
46455	20	204	39	0	22	17	67	12
73624	24	367	93	0	30	17	64	40
38395	31	210	38	0	16	16	63	43
91899	35	335	60	0	18	15	59	33
139526	151	364	71	0	28	21	84	77
52164	52	178	52	0	32	16	64	43
51567	30	206	27	2	21	14	56	45
70551	31	279	59	0	23	15	54	47
84856	29	387	40	1	29	17	67	43
102538	57	490	79	1	50	15	58	45
86678	40	238	44	0	12	15	59	50
85709	44	343	65	0	21	10	40	35
34662	25	232	10	0	18	6	22	7
150580	77	530	124	0	27	22	83	71
99611	35	291	81	0	41	21	81	67
19349	11	67	15	0	13	1	2	0
99373	63	397	92	1	12	18	72	62
86230	44	467	42	0	21	17	61	54
30837	19	178	10	0	8	4	15	4
31706	13	175	24	0	26	10	32	25
89806	42	299	64	0	27	16	62	40
62088	38	154	45	1	13	16	58	38
40151	29	106	22	0	16	9	36	19
27634	20	189	56	0	2	16	59	17
76990	27	194	94	0	42	17	68	67
37460	20	135	19	0	5	7	21	14
54157	19	201	35	0	37	15	55	30
49862	37	207	32	0	17	14	54	54
84337	26	280	35	0	38	14	55	35
64175	42	260	48	0	37	18	72	59
59382	49	227	49	0	29	12	41	24
119308	30	239	48	0	32	16	61	58
76702	49	333	62	0	35	21	67	42
103425	67	428	96	1	17	19	76	46
70344	28	230	45	0	20	16	64	61
43410	19	292	63	0	7	1	3	3
104838	49	350	71	1	46	16	63	52
62215	27	186	26	0	24	10	40	25
69304	30	326	48	6	40	19	69	40
53117	22	155	29	3	3	12	48	32
19764	12	75	19	1	10	2	8	4
86680	31	361	45	2	37	14	52	49
84105	20	261	45	0	17	17	66	63
77945	20	299	67	0	28	19	76	67
89113	39	300	30	0	19	14	43	32
91005	29	450	36	3	29	11	39	23
40248	16	183	34	1	8	4	14	7
64187	27	238	36	0	10	16	61	54
50857	21	165	34	0	15	20	71	37
56613	19	234	37	1	15	12	44	35
62792	35	176	46	0	28	15	60	51
72535	14	329	44	0	17	16	64	39

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time15 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 15 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201504&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]15 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201504&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201504&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 time15 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Multiple Linear Regression - Estimated Regression Equation
time_in_rfc[t] = -10536.2720599872 + 310.685008611521logins[t] + 157.250305897797compendium_views_info[t] -67.5627842850273compendium_views_pr[t] -780.975206915726shared_compendiums[t] + 415.34993686926blogged_computations[t] -562.776091010305compendiums_reviewed[t] + 381.108228694836feedback_messages_p1[t] + 246.92413605098feedback_messages_p120[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
time_in_rfc[t] =  -10536.2720599872 +  310.685008611521logins[t] +  157.250305897797compendium_views_info[t] -67.5627842850273compendium_views_pr[t] -780.975206915726shared_compendiums[t] +  415.34993686926blogged_computations[t] -562.776091010305compendiums_reviewed[t] +  381.108228694836feedback_messages_p1[t] +  246.92413605098feedback_messages_p120[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201504&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]time_in_rfc[t] =  -10536.2720599872 +  310.685008611521logins[t] +  157.250305897797compendium_views_info[t] -67.5627842850273compendium_views_pr[t] -780.975206915726shared_compendiums[t] +  415.34993686926blogged_computations[t] -562.776091010305compendiums_reviewed[t] +  381.108228694836feedback_messages_p1[t] +  246.92413605098feedback_messages_p120[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201504&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201504&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
time_in_rfc[t] = -10536.2720599872 + 310.685008611521logins[t] + 157.250305897797compendium_views_info[t] -67.5627842850273compendium_views_pr[t] -780.975206915726shared_compendiums[t] + 415.34993686926blogged_computations[t] -562.776091010305compendiums_reviewed[t] + 381.108228694836feedback_messages_p1[t] + 246.92413605098feedback_messages_p120[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-10536.27205998724396.180558-2.39670.01720.0086
logins310.68500861152169.1329314.4941e-055e-06
compendium_views_info157.25030589779711.36311613.838700
compendium_views_pr-67.562784285027338.68619-1.74640.0818330.040916
shared_compendiums-780.975206915726676.580923-1.15430.2493630.124681
blogged_computations415.3499368692688.6244054.68664e-062e-06
compendiums_reviewed-562.776091010305888.277648-0.63360.5268860.263443
feedback_messages_p1381.108228694836269.7552111.41280.1588270.079414
feedback_messages_p120246.92413605098129.9594631.90.0584590.02923

\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) & -10536.2720599872 & 4396.180558 & -2.3967 & 0.0172 & 0.0086 \tabularnewline
logins & 310.685008611521 & 69.132931 & 4.494 & 1e-05 & 5e-06 \tabularnewline
compendium_views_info & 157.250305897797 & 11.363116 & 13.8387 & 0 & 0 \tabularnewline
compendium_views_pr & -67.5627842850273 & 38.68619 & -1.7464 & 0.081833 & 0.040916 \tabularnewline
shared_compendiums & -780.975206915726 & 676.580923 & -1.1543 & 0.249363 & 0.124681 \tabularnewline
blogged_computations & 415.34993686926 & 88.624405 & 4.6866 & 4e-06 & 2e-06 \tabularnewline
compendiums_reviewed & -562.776091010305 & 888.277648 & -0.6336 & 0.526886 & 0.263443 \tabularnewline
feedback_messages_p1 & 381.108228694836 & 269.755211 & 1.4128 & 0.158827 & 0.079414 \tabularnewline
feedback_messages_p120 & 246.92413605098 & 129.959463 & 1.9 & 0.058459 & 0.02923 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201504&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]-10536.2720599872[/C][C]4396.180558[/C][C]-2.3967[/C][C]0.0172[/C][C]0.0086[/C][/ROW]
[ROW][C]logins[/C][C]310.685008611521[/C][C]69.132931[/C][C]4.494[/C][C]1e-05[/C][C]5e-06[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]157.250305897797[/C][C]11.363116[/C][C]13.8387[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]-67.5627842850273[/C][C]38.68619[/C][C]-1.7464[/C][C]0.081833[/C][C]0.040916[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]-780.975206915726[/C][C]676.580923[/C][C]-1.1543[/C][C]0.249363[/C][C]0.124681[/C][/ROW]
[ROW][C]blogged_computations[/C][C]415.34993686926[/C][C]88.624405[/C][C]4.6866[/C][C]4e-06[/C][C]2e-06[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]-562.776091010305[/C][C]888.277648[/C][C]-0.6336[/C][C]0.526886[/C][C]0.263443[/C][/ROW]
[ROW][C]feedback_messages_p1[/C][C]381.108228694836[/C][C]269.755211[/C][C]1.4128[/C][C]0.158827[/C][C]0.079414[/C][/ROW]
[ROW][C]feedback_messages_p120[/C][C]246.92413605098[/C][C]129.959463[/C][C]1.9[/C][C]0.058459[/C][C]0.02923[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201504&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201504&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)-10536.27205998724396.180558-2.39670.01720.0086
logins310.68500861152169.1329314.4941e-055e-06
compendium_views_info157.25030589779711.36311613.838700
compendium_views_pr-67.562784285027338.68619-1.74640.0818330.040916
shared_compendiums-780.975206915726676.580923-1.15430.2493630.124681
blogged_computations415.3499368692688.6244054.68664e-062e-06
compendiums_reviewed-562.776091010305888.277648-0.63360.5268860.263443
feedback_messages_p1381.108228694836269.7552111.41280.1588270.079414
feedback_messages_p120246.92413605098129.9594631.90.0584590.02923






Multiple Linear Regression - Regression Statistics
Multiple R0.942211789417049
R-squared0.887763056116478
Adjusted R-squared0.884556286291235
F-TEST (value)276.840279937794
F-TEST (DF numerator)8
F-TEST (DF denominator)280
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation27976.4672388465
Sum Squared Residuals219151161366.55

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.942211789417049 \tabularnewline
R-squared & 0.887763056116478 \tabularnewline
Adjusted R-squared & 0.884556286291235 \tabularnewline
F-TEST (value) & 276.840279937794 \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 & 27976.4672388465 \tabularnewline
Sum Squared Residuals & 219151161366.55 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201504&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.942211789417049[/C][/ROW]
[ROW][C]R-squared[/C][C]0.887763056116478[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.884556286291235[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]276.840279937794[/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]27976.4672388465[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]219151161366.55[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201504&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201504&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 R0.942211789417049
R-squared0.887763056116478
Adjusted R-squared0.884556286291235
F-TEST (value)276.840279937794
F-TEST (DF numerator)8
F-TEST (DF denominator)280
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation27976.4672388465
Sum Squared Residuals219151161366.55






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1210907144285.37578101266621.6242189883
2120982122032.124041681-1050.12404168078
3176508163535.04850061412972.9514993855
4179321256784.692053571-77463.6920535706
512318587344.787692777835840.2123072222
65274656019.3405148717-3273.34051487168
7385534354659.69755594130874.3024440593
83317030475.54154369822694.45845630185
910164589699.562922320611945.4370776794
10149061162228.685631819-13167.6856318189
11165446141068.4176341224377.5823658796
12237213208299.19735830428913.8026416964
13173326191914.682727116-18588.6827271164
14133131141472.724156073-8341.72415607347
15258873243260.88499131915612.1150086809
16180083152522.72162538627560.2783746141
17324799405462.535830829-80663.5358308289
18230964194225.36105877536738.638941225
19236785231322.6786300885462.32136991217
20135473131530.5338011693942.46619883142
21202925202704.029435422220.970564577513
22215147204253.70638313810893.2936168624
23344297241777.981121807102519.018878193
24153935115971.91736730437963.082632696
25132943168017.614151003-35074.6141510028
26174724271577.081319386-96853.0813193857
27174415228227.877481282-53812.8774812822
28225548239529.186043545-13981.1860435453
29223632191609.43299230632022.5670076936
30124817134326.940745735-9509.9407457355
31221698203433.34178060818264.6582193923
32210767207875.1527900572891.84720994294
33170266168253.3412658172012.65873418262
34260561232069.94803975828491.0519602419
3584853104135.546797716-19282.5467977155
36294424268720.79252330325703.2074766974
3710101169274.595001857531736.4049981425
38215641208036.2832390277604.71676097338
39325107260813.67789011564293.3221098848
4071765685.331714969391490.66828503061
41167542151338.98286151716203.0171384833
4210640869221.22762413937186.772375861
4396560121297.558609104-24737.5586091037
44265769275286.075043571-9517.07504357139
45269651293861.264849775-24210.2648497753
46149112158030.149946454-8918.14994645368
47175824220496.825662797-44672.8256627967
48152871150174.6852604232696.3147395767
49111665107336.1862464444328.81375355605
50116408169169.211481644-52761.2114816438
51362301320902.54459023141398.4554097689
527880090214.7582333501-11414.7582333501
53183167199807.448686901-16640.4486869007
54277965304389.108625378-26424.1086253779
55150629204638.543616228-54009.5436162284
56168809164356.116921924452.88307807971
572418837222.9419743162-13034.9419743162
58329267279338.96097921449928.0390207861
596502968709.5092435154-3680.50924351537
60101097108190.037150206-7093.03715020592
61218946210143.065476448802.9345235604
62244052213435.68420858630616.3157914136
63341570305665.63255332335904.3674466767
6410359794356.73750333899240.26249666106
65233328233572.221992038-244.221992038476
66256462254198.0989948272263.90100517327
67206161182903.86869359523257.1313064049
68311473301806.7120877129666.28791228824
69235800226657.6561454059142.34385459549
70177939213702.433470316-35763.4334703163
71207176194477.88376962112698.1162303788
72196553148786.93129589347766.0687041069
73174184132955.47458155241228.525418448
74143246166015.878264249-22769.8782642492
75187559219406.626694279-31847.6266942792
76187681205981.091688272-18300.0916882723
77119016157720.002427933-38704.0024279332
78182192198598.477033825-16406.4770338248
797356698901.5059160707-25335.5059160707
80194979191874.0314986513104.96850134912
81167488164333.4165501133154.58344988723
82143756179641.594947699-35885.5949476987
83275541235860.4016841739680.5983158304
84243199214257.06021518328941.9397848166
85182999163130.0703533119868.9296466898
86135649165118.010046961-29469.0100469608
87152299163990.846569904-11691.8465699036
88120221138490.746841127-18269.7468411266
89346485278571.31929061467913.6807093857
90145790162398.776430246-16608.776430246
91193339154607.00963659538731.9903634052
928095397042.7107751453-16089.7107751453
93122774152103.628037358-29329.6280373581
94130585122486.7436768928098.25632310765
9511261194370.107967176418240.8920328236
96286468274455.57286426412012.4271357357
97241066210952.08583920830113.9141607917
98148446275849.159850812-127403.159850812
99204713182353.60051285122359.3994871491
100182079193056.883859046-10977.8838590459
101140344123369.66499051116974.3350094888
102220516244256.141595084-23740.1415950843
103243060198213.83828143344846.1617185673
104162765151022.21788112911742.7821188706
105182613150837.71670815531775.2832918447
106232138206622.05539904925515.9446009509
107265318296869.914413626-31551.9144136256
1088557492590.2784076729-7016.27840767294
109310839282881.69517575927957.3048242412
110225060224398.825460428661.174539572378
111232317217050.31542187115266.684578129
112144966159200.465553051-14234.4655530514
1134328759004.4153654842-15717.4153654842
114155754150608.4154168635145.58458313673
115164709185275.69422131-20566.6942213103
116201940232341.304453582-30401.3044535824
117235454255964.23035633-20510.2303563301
118220801172159.14645483448641.8535451664
1199946696169.86512141643296.13487858356
12092661112852.407141525-20191.4071415249
121133328136340.866340939-3012.86634093898
12261361106358.119088189-44997.1190881893
123125930153339.852745323-27409.8527453232
124100750157213.802410615-56463.8024106148
125224549149541.87096073375007.1290392667
1268231662343.963141590619972.0368584094
12710201091544.359665239410465.6403347606
128101523114213.319594379-12690.3195943788
129243511219791.09322376223719.9067762384
1302293820600.48322724432337.51677275574
1314156644927.3734047595-3361.37340475949
132152474190740.628527472-38266.6285274721
1336185745575.64039953316281.359600467
13499923160912.297526393-60989.2975263926
135132487145537.289618272-13050.2896182722
136317394260711.85992592456682.1400740759
1372105418919.50691778242134.49308221758
138209641166553.86533209443087.1346679055
1392264840773.2436681083-18125.2436681083
1403141440054.5361063144-8640.53610631439
1414669870631.3740084011-23933.3740084011
142131698140978.152685444-9280.15268544391
1439173585383.80013674736351.19986325273
144244749257063.486106578-12314.4861065777
145184510175798.188022868711.81197713967
1467986398822.3600115779-18959.3600115779
147128423131909.337919037-3486.33791903744
14897839108774.079586129-10935.0795861288
1493821457533.5571714318-19319.5571714318
150151101152832.606786994-1731.6067869937
151272458248836.91280532823621.0871946719
152172494155388.4904275117105.5095724896
153108043120039.38847555-11996.3884755496
154328107322878.7198236535228.28017634693
155250579235484.44709249815094.5529075022
156351067306700.65483466144366.3451653391
157158015139232.02235592918782.9776440714
1589886679397.643487174419468.3565128256
15985439108277.546391933-22838.5463919328
160229242251331.904626319-22089.9046263187
161351619329669.50642194521949.4935780551
1628420797486.9673013136-13279.9673013137
163120445135384.745665922-14939.745665922
164324598346239.428063631-21641.4280636307
165131069161296.024451738-30227.024451738
166204271169762.86239868634508.1376013143
167165543169558.197440864-4015.19744086372
168141722125269.77763811416452.2223618862
16911604892916.112532735723131.8874672642
170250047162100.95559837787946.0444016227
171299775310393.019056615-10618.0190566148
172195838191874.585654943963.41434505961
173173260171364.036045361895.9639546404
174254488235478.75397411419009.2460258861
175104389194877.555355163-90488.5553551629
176136084133096.1696939762987.83030602399
177199476230958.768296519-31482.7682965189
1789249986610.70759641535888.29240358467
179224330227129.67594574-2799.67594574039
18013578198589.873006824637191.1269931754
1817440895243.1784002413-20835.1784002413
18281240135837.423718637-54597.4237186372
183146887598.253774917767089.74622508224
184181633157681.41840036323951.5815996366
185271856245818.16037982426037.839620176
18671995561.125177592191637.87482240781
1874666047029.2738362422-369.273836242239
188175473614.0891051362513932.9108948638
189133368125177.0689464158190.93105358531
1909522784394.931109832710832.0688901673
191152601118610.21229765333990.7877023469
19298146105999.969260576-7853.96926057593
1937961993558.7273837844-13939.7273837844
1945919459689.5152665303-495.515266530294
195139942142783.009111982-2841.00911198235
196118612113306.922657755305.07734225031
1977288096702.6699692755-23822.6699692755
1986547557378.45941390828096.54058609177
19999643131036.138637591-31393.1386375912
2007196578116.9269658511-6151.92696585112
2017727271933.95318422875338.04681577133
2024928945148.55766501084140.4423349892
203135131124751.97153304210379.0284669577
204108446103949.505116894496.49488311013
20589746121589.068367333-31843.0683673334
2064429653586.0298620151-9290.02986201508
2077764885081.3789320285-7433.37893202851
208181528139694.15321822141833.8467817785
209134019110873.34349769523145.656502305
210124064129041.377645068-4977.37764506784
2119263079640.994475612612989.0055243874
21212184894879.707510496926968.2924895031
2135291554818.9043936304-1903.9043936304
2148187284021.8881245965-2149.88812459648
2155898189797.6644806432-30816.6644806432
2165351569658.81266221-16143.8126622099
2176081295268.4087428342-34456.4087428342
2185637549716.80459709666658.19540290344
2196549062328.26168741873161.73831258132
2208094957280.087073747423668.9129262526
2217630296247.3756608022-19945.3756608022
222104011108770.168382487-4759.16838248697
22398104145807.305485468-47703.3054854679
2246798962798.22167402275190.77832597731
2253098934621.7043256034-3632.70432560337
226135458132237.0363138713220.96368612947
2277350450623.603809132422880.3961908676
2286312392226.6133927538-29103.6133927538
2296125482040.4906635738-20786.4906635738
23074914113861.27953227-38947.2795322697
2313177446509.4302291862-14735.4302291862
2328143783953.7276947001-2516.72769470011
23387186119709.008465883-32523.0084658834
2345009054938.7070113712-4848.70701137116
2356574593024.8763513251-27279.8763513251
2365665370895.6263118383-14242.6263118383
237158399109342.23897935649056.7610206435
2384645553189.387947392-6734.387947392
2397362485508.8881100845-11884.8881100845
2403839561818.8794343863-23423.8794343863
2419189978631.328141246113267.6718587539
242139526139657.067910328-131.067910328059
2435216469392.0830651114-17228.0830651114
2445156761088.8259530925-9521.82595309246
2457055172278.2802063942-1727.28020639422
2468485694475.9187886569-9619.91878865693
247102538123648.70702026-21110.70702026
2488667867718.088752428918959.9112475711
2498570979660.40393706646048.59606293364
2503466247249.7885819675-12587.7885819675
251150580136348.32141212314231.6785878769
2529961193249.68987070836361.3101292917
253193498002.5813112962411346.4186887038
25499373102071.82206826-2698.82206826024
25586230109468.784657437-23238.7846574368
2563083730457.6848161285379.315183871449
2573170642939.8339292433-11233.8339292433
2588980680922.02803132038883.97196867968
2596208849547.531033142612540.4689668574
2604015133647.81334944096503.18665055912
2612763440123.5982304009-12489.5982304009
2627699072344.66126190214645.3387380979
2633746025220.054261609712239.9457383903
2645415759904.3400978663-5747.34009786631
2654986264443.7088312693-14581.7088312693
2668433776714.65603220747622.34396779264
2676417587400.8587084556-23225.8587084556
2685938263915.9880896075-4533.9880896075
26911930874980.070027243844327.9299727562
2707670291486.7675161748-14784.7675161748
271103425107006.690779698-3581.69077969758
2727034470046.033461602297.966538398006
2734341041256.14757714362153.85242285644
274104838101098.52065733739.47934269978
2756221551102.217801930511112.7821980695
2766930484213.698001422-14909.698001422
2775311737057.853228079416059.1467719206
278197649985.562437789159778.43756221085
2798668090666.0408780647-3986.04087806472
2808410571882.551703415112222.4482965849
2817794584613.7580279543-6668.7580279543
2828911371030.661230531318082.3387694687
2839100590858.1322051136146.867794886409
2844024828269.063469484711978.9365305153
2856418764576.1229516041-389.122951604128
2865085750806.883432352750.1165676473111
2875661353770.55924352672842.44075647329
2886279263553.6505297918-761.650529791837
2897253574653.4056054783-2118.40560547827

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 210907 & 144285.375781012 & 66621.6242189883 \tabularnewline
2 & 120982 & 122032.124041681 & -1050.12404168078 \tabularnewline
3 & 176508 & 163535.048500614 & 12972.9514993855 \tabularnewline
4 & 179321 & 256784.692053571 & -77463.6920535706 \tabularnewline
5 & 123185 & 87344.7876927778 & 35840.2123072222 \tabularnewline
6 & 52746 & 56019.3405148717 & -3273.34051487168 \tabularnewline
7 & 385534 & 354659.697555941 & 30874.3024440593 \tabularnewline
8 & 33170 & 30475.5415436982 & 2694.45845630185 \tabularnewline
9 & 101645 & 89699.5629223206 & 11945.4370776794 \tabularnewline
10 & 149061 & 162228.685631819 & -13167.6856318189 \tabularnewline
11 & 165446 & 141068.41763412 & 24377.5823658796 \tabularnewline
12 & 237213 & 208299.197358304 & 28913.8026416964 \tabularnewline
13 & 173326 & 191914.682727116 & -18588.6827271164 \tabularnewline
14 & 133131 & 141472.724156073 & -8341.72415607347 \tabularnewline
15 & 258873 & 243260.884991319 & 15612.1150086809 \tabularnewline
16 & 180083 & 152522.721625386 & 27560.2783746141 \tabularnewline
17 & 324799 & 405462.535830829 & -80663.5358308289 \tabularnewline
18 & 230964 & 194225.361058775 & 36738.638941225 \tabularnewline
19 & 236785 & 231322.678630088 & 5462.32136991217 \tabularnewline
20 & 135473 & 131530.533801169 & 3942.46619883142 \tabularnewline
21 & 202925 & 202704.029435422 & 220.970564577513 \tabularnewline
22 & 215147 & 204253.706383138 & 10893.2936168624 \tabularnewline
23 & 344297 & 241777.981121807 & 102519.018878193 \tabularnewline
24 & 153935 & 115971.917367304 & 37963.082632696 \tabularnewline
25 & 132943 & 168017.614151003 & -35074.6141510028 \tabularnewline
26 & 174724 & 271577.081319386 & -96853.0813193857 \tabularnewline
27 & 174415 & 228227.877481282 & -53812.8774812822 \tabularnewline
28 & 225548 & 239529.186043545 & -13981.1860435453 \tabularnewline
29 & 223632 & 191609.432992306 & 32022.5670076936 \tabularnewline
30 & 124817 & 134326.940745735 & -9509.9407457355 \tabularnewline
31 & 221698 & 203433.341780608 & 18264.6582193923 \tabularnewline
32 & 210767 & 207875.152790057 & 2891.84720994294 \tabularnewline
33 & 170266 & 168253.341265817 & 2012.65873418262 \tabularnewline
34 & 260561 & 232069.948039758 & 28491.0519602419 \tabularnewline
35 & 84853 & 104135.546797716 & -19282.5467977155 \tabularnewline
36 & 294424 & 268720.792523303 & 25703.2074766974 \tabularnewline
37 & 101011 & 69274.5950018575 & 31736.4049981425 \tabularnewline
38 & 215641 & 208036.283239027 & 7604.71676097338 \tabularnewline
39 & 325107 & 260813.677890115 & 64293.3221098848 \tabularnewline
40 & 7176 & 5685.33171496939 & 1490.66828503061 \tabularnewline
41 & 167542 & 151338.982861517 & 16203.0171384833 \tabularnewline
42 & 106408 & 69221.227624139 & 37186.772375861 \tabularnewline
43 & 96560 & 121297.558609104 & -24737.5586091037 \tabularnewline
44 & 265769 & 275286.075043571 & -9517.07504357139 \tabularnewline
45 & 269651 & 293861.264849775 & -24210.2648497753 \tabularnewline
46 & 149112 & 158030.149946454 & -8918.14994645368 \tabularnewline
47 & 175824 & 220496.825662797 & -44672.8256627967 \tabularnewline
48 & 152871 & 150174.685260423 & 2696.3147395767 \tabularnewline
49 & 111665 & 107336.186246444 & 4328.81375355605 \tabularnewline
50 & 116408 & 169169.211481644 & -52761.2114816438 \tabularnewline
51 & 362301 & 320902.544590231 & 41398.4554097689 \tabularnewline
52 & 78800 & 90214.7582333501 & -11414.7582333501 \tabularnewline
53 & 183167 & 199807.448686901 & -16640.4486869007 \tabularnewline
54 & 277965 & 304389.108625378 & -26424.1086253779 \tabularnewline
55 & 150629 & 204638.543616228 & -54009.5436162284 \tabularnewline
56 & 168809 & 164356.11692192 & 4452.88307807971 \tabularnewline
57 & 24188 & 37222.9419743162 & -13034.9419743162 \tabularnewline
58 & 329267 & 279338.960979214 & 49928.0390207861 \tabularnewline
59 & 65029 & 68709.5092435154 & -3680.50924351537 \tabularnewline
60 & 101097 & 108190.037150206 & -7093.03715020592 \tabularnewline
61 & 218946 & 210143.06547644 & 8802.9345235604 \tabularnewline
62 & 244052 & 213435.684208586 & 30616.3157914136 \tabularnewline
63 & 341570 & 305665.632553323 & 35904.3674466767 \tabularnewline
64 & 103597 & 94356.7375033389 & 9240.26249666106 \tabularnewline
65 & 233328 & 233572.221992038 & -244.221992038476 \tabularnewline
66 & 256462 & 254198.098994827 & 2263.90100517327 \tabularnewline
67 & 206161 & 182903.868693595 & 23257.1313064049 \tabularnewline
68 & 311473 & 301806.712087712 & 9666.28791228824 \tabularnewline
69 & 235800 & 226657.656145405 & 9142.34385459549 \tabularnewline
70 & 177939 & 213702.433470316 & -35763.4334703163 \tabularnewline
71 & 207176 & 194477.883769621 & 12698.1162303788 \tabularnewline
72 & 196553 & 148786.931295893 & 47766.0687041069 \tabularnewline
73 & 174184 & 132955.474581552 & 41228.525418448 \tabularnewline
74 & 143246 & 166015.878264249 & -22769.8782642492 \tabularnewline
75 & 187559 & 219406.626694279 & -31847.6266942792 \tabularnewline
76 & 187681 & 205981.091688272 & -18300.0916882723 \tabularnewline
77 & 119016 & 157720.002427933 & -38704.0024279332 \tabularnewline
78 & 182192 & 198598.477033825 & -16406.4770338248 \tabularnewline
79 & 73566 & 98901.5059160707 & -25335.5059160707 \tabularnewline
80 & 194979 & 191874.031498651 & 3104.96850134912 \tabularnewline
81 & 167488 & 164333.416550113 & 3154.58344988723 \tabularnewline
82 & 143756 & 179641.594947699 & -35885.5949476987 \tabularnewline
83 & 275541 & 235860.40168417 & 39680.5983158304 \tabularnewline
84 & 243199 & 214257.060215183 & 28941.9397848166 \tabularnewline
85 & 182999 & 163130.07035331 & 19868.9296466898 \tabularnewline
86 & 135649 & 165118.010046961 & -29469.0100469608 \tabularnewline
87 & 152299 & 163990.846569904 & -11691.8465699036 \tabularnewline
88 & 120221 & 138490.746841127 & -18269.7468411266 \tabularnewline
89 & 346485 & 278571.319290614 & 67913.6807093857 \tabularnewline
90 & 145790 & 162398.776430246 & -16608.776430246 \tabularnewline
91 & 193339 & 154607.009636595 & 38731.9903634052 \tabularnewline
92 & 80953 & 97042.7107751453 & -16089.7107751453 \tabularnewline
93 & 122774 & 152103.628037358 & -29329.6280373581 \tabularnewline
94 & 130585 & 122486.743676892 & 8098.25632310765 \tabularnewline
95 & 112611 & 94370.1079671764 & 18240.8920328236 \tabularnewline
96 & 286468 & 274455.572864264 & 12012.4271357357 \tabularnewline
97 & 241066 & 210952.085839208 & 30113.9141607917 \tabularnewline
98 & 148446 & 275849.159850812 & -127403.159850812 \tabularnewline
99 & 204713 & 182353.600512851 & 22359.3994871491 \tabularnewline
100 & 182079 & 193056.883859046 & -10977.8838590459 \tabularnewline
101 & 140344 & 123369.664990511 & 16974.3350094888 \tabularnewline
102 & 220516 & 244256.141595084 & -23740.1415950843 \tabularnewline
103 & 243060 & 198213.838281433 & 44846.1617185673 \tabularnewline
104 & 162765 & 151022.217881129 & 11742.7821188706 \tabularnewline
105 & 182613 & 150837.716708155 & 31775.2832918447 \tabularnewline
106 & 232138 & 206622.055399049 & 25515.9446009509 \tabularnewline
107 & 265318 & 296869.914413626 & -31551.9144136256 \tabularnewline
108 & 85574 & 92590.2784076729 & -7016.27840767294 \tabularnewline
109 & 310839 & 282881.695175759 & 27957.3048242412 \tabularnewline
110 & 225060 & 224398.825460428 & 661.174539572378 \tabularnewline
111 & 232317 & 217050.315421871 & 15266.684578129 \tabularnewline
112 & 144966 & 159200.465553051 & -14234.4655530514 \tabularnewline
113 & 43287 & 59004.4153654842 & -15717.4153654842 \tabularnewline
114 & 155754 & 150608.415416863 & 5145.58458313673 \tabularnewline
115 & 164709 & 185275.69422131 & -20566.6942213103 \tabularnewline
116 & 201940 & 232341.304453582 & -30401.3044535824 \tabularnewline
117 & 235454 & 255964.23035633 & -20510.2303563301 \tabularnewline
118 & 220801 & 172159.146454834 & 48641.8535451664 \tabularnewline
119 & 99466 & 96169.8651214164 & 3296.13487858356 \tabularnewline
120 & 92661 & 112852.407141525 & -20191.4071415249 \tabularnewline
121 & 133328 & 136340.866340939 & -3012.86634093898 \tabularnewline
122 & 61361 & 106358.119088189 & -44997.1190881893 \tabularnewline
123 & 125930 & 153339.852745323 & -27409.8527453232 \tabularnewline
124 & 100750 & 157213.802410615 & -56463.8024106148 \tabularnewline
125 & 224549 & 149541.870960733 & 75007.1290392667 \tabularnewline
126 & 82316 & 62343.9631415906 & 19972.0368584094 \tabularnewline
127 & 102010 & 91544.3596652394 & 10465.6403347606 \tabularnewline
128 & 101523 & 114213.319594379 & -12690.3195943788 \tabularnewline
129 & 243511 & 219791.093223762 & 23719.9067762384 \tabularnewline
130 & 22938 & 20600.4832272443 & 2337.51677275574 \tabularnewline
131 & 41566 & 44927.3734047595 & -3361.37340475949 \tabularnewline
132 & 152474 & 190740.628527472 & -38266.6285274721 \tabularnewline
133 & 61857 & 45575.640399533 & 16281.359600467 \tabularnewline
134 & 99923 & 160912.297526393 & -60989.2975263926 \tabularnewline
135 & 132487 & 145537.289618272 & -13050.2896182722 \tabularnewline
136 & 317394 & 260711.859925924 & 56682.1400740759 \tabularnewline
137 & 21054 & 18919.5069177824 & 2134.49308221758 \tabularnewline
138 & 209641 & 166553.865332094 & 43087.1346679055 \tabularnewline
139 & 22648 & 40773.2436681083 & -18125.2436681083 \tabularnewline
140 & 31414 & 40054.5361063144 & -8640.53610631439 \tabularnewline
141 & 46698 & 70631.3740084011 & -23933.3740084011 \tabularnewline
142 & 131698 & 140978.152685444 & -9280.15268544391 \tabularnewline
143 & 91735 & 85383.8001367473 & 6351.19986325273 \tabularnewline
144 & 244749 & 257063.486106578 & -12314.4861065777 \tabularnewline
145 & 184510 & 175798.18802286 & 8711.81197713967 \tabularnewline
146 & 79863 & 98822.3600115779 & -18959.3600115779 \tabularnewline
147 & 128423 & 131909.337919037 & -3486.33791903744 \tabularnewline
148 & 97839 & 108774.079586129 & -10935.0795861288 \tabularnewline
149 & 38214 & 57533.5571714318 & -19319.5571714318 \tabularnewline
150 & 151101 & 152832.606786994 & -1731.6067869937 \tabularnewline
151 & 272458 & 248836.912805328 & 23621.0871946719 \tabularnewline
152 & 172494 & 155388.49042751 & 17105.5095724896 \tabularnewline
153 & 108043 & 120039.38847555 & -11996.3884755496 \tabularnewline
154 & 328107 & 322878.719823653 & 5228.28017634693 \tabularnewline
155 & 250579 & 235484.447092498 & 15094.5529075022 \tabularnewline
156 & 351067 & 306700.654834661 & 44366.3451653391 \tabularnewline
157 & 158015 & 139232.022355929 & 18782.9776440714 \tabularnewline
158 & 98866 & 79397.6434871744 & 19468.3565128256 \tabularnewline
159 & 85439 & 108277.546391933 & -22838.5463919328 \tabularnewline
160 & 229242 & 251331.904626319 & -22089.9046263187 \tabularnewline
161 & 351619 & 329669.506421945 & 21949.4935780551 \tabularnewline
162 & 84207 & 97486.9673013136 & -13279.9673013137 \tabularnewline
163 & 120445 & 135384.745665922 & -14939.745665922 \tabularnewline
164 & 324598 & 346239.428063631 & -21641.4280636307 \tabularnewline
165 & 131069 & 161296.024451738 & -30227.024451738 \tabularnewline
166 & 204271 & 169762.862398686 & 34508.1376013143 \tabularnewline
167 & 165543 & 169558.197440864 & -4015.19744086372 \tabularnewline
168 & 141722 & 125269.777638114 & 16452.2223618862 \tabularnewline
169 & 116048 & 92916.1125327357 & 23131.8874672642 \tabularnewline
170 & 250047 & 162100.955598377 & 87946.0444016227 \tabularnewline
171 & 299775 & 310393.019056615 & -10618.0190566148 \tabularnewline
172 & 195838 & 191874.58565494 & 3963.41434505961 \tabularnewline
173 & 173260 & 171364.03604536 & 1895.9639546404 \tabularnewline
174 & 254488 & 235478.753974114 & 19009.2460258861 \tabularnewline
175 & 104389 & 194877.555355163 & -90488.5553551629 \tabularnewline
176 & 136084 & 133096.169693976 & 2987.83030602399 \tabularnewline
177 & 199476 & 230958.768296519 & -31482.7682965189 \tabularnewline
178 & 92499 & 86610.7075964153 & 5888.29240358467 \tabularnewline
179 & 224330 & 227129.67594574 & -2799.67594574039 \tabularnewline
180 & 135781 & 98589.8730068246 & 37191.1269931754 \tabularnewline
181 & 74408 & 95243.1784002413 & -20835.1784002413 \tabularnewline
182 & 81240 & 135837.423718637 & -54597.4237186372 \tabularnewline
183 & 14688 & 7598.25377491776 & 7089.74622508224 \tabularnewline
184 & 181633 & 157681.418400363 & 23951.5815996366 \tabularnewline
185 & 271856 & 245818.160379824 & 26037.839620176 \tabularnewline
186 & 7199 & 5561.12517759219 & 1637.87482240781 \tabularnewline
187 & 46660 & 47029.2738362422 & -369.273836242239 \tabularnewline
188 & 17547 & 3614.08910513625 & 13932.9108948638 \tabularnewline
189 & 133368 & 125177.068946415 & 8190.93105358531 \tabularnewline
190 & 95227 & 84394.9311098327 & 10832.0688901673 \tabularnewline
191 & 152601 & 118610.212297653 & 33990.7877023469 \tabularnewline
192 & 98146 & 105999.969260576 & -7853.96926057593 \tabularnewline
193 & 79619 & 93558.7273837844 & -13939.7273837844 \tabularnewline
194 & 59194 & 59689.5152665303 & -495.515266530294 \tabularnewline
195 & 139942 & 142783.009111982 & -2841.00911198235 \tabularnewline
196 & 118612 & 113306.92265775 & 5305.07734225031 \tabularnewline
197 & 72880 & 96702.6699692755 & -23822.6699692755 \tabularnewline
198 & 65475 & 57378.4594139082 & 8096.54058609177 \tabularnewline
199 & 99643 & 131036.138637591 & -31393.1386375912 \tabularnewline
200 & 71965 & 78116.9269658511 & -6151.92696585112 \tabularnewline
201 & 77272 & 71933.9531842287 & 5338.04681577133 \tabularnewline
202 & 49289 & 45148.5576650108 & 4140.4423349892 \tabularnewline
203 & 135131 & 124751.971533042 & 10379.0284669577 \tabularnewline
204 & 108446 & 103949.50511689 & 4496.49488311013 \tabularnewline
205 & 89746 & 121589.068367333 & -31843.0683673334 \tabularnewline
206 & 44296 & 53586.0298620151 & -9290.02986201508 \tabularnewline
207 & 77648 & 85081.3789320285 & -7433.37893202851 \tabularnewline
208 & 181528 & 139694.153218221 & 41833.8467817785 \tabularnewline
209 & 134019 & 110873.343497695 & 23145.656502305 \tabularnewline
210 & 124064 & 129041.377645068 & -4977.37764506784 \tabularnewline
211 & 92630 & 79640.9944756126 & 12989.0055243874 \tabularnewline
212 & 121848 & 94879.7075104969 & 26968.2924895031 \tabularnewline
213 & 52915 & 54818.9043936304 & -1903.9043936304 \tabularnewline
214 & 81872 & 84021.8881245965 & -2149.88812459648 \tabularnewline
215 & 58981 & 89797.6644806432 & -30816.6644806432 \tabularnewline
216 & 53515 & 69658.81266221 & -16143.8126622099 \tabularnewline
217 & 60812 & 95268.4087428342 & -34456.4087428342 \tabularnewline
218 & 56375 & 49716.8045970966 & 6658.19540290344 \tabularnewline
219 & 65490 & 62328.2616874187 & 3161.73831258132 \tabularnewline
220 & 80949 & 57280.0870737474 & 23668.9129262526 \tabularnewline
221 & 76302 & 96247.3756608022 & -19945.3756608022 \tabularnewline
222 & 104011 & 108770.168382487 & -4759.16838248697 \tabularnewline
223 & 98104 & 145807.305485468 & -47703.3054854679 \tabularnewline
224 & 67989 & 62798.2216740227 & 5190.77832597731 \tabularnewline
225 & 30989 & 34621.7043256034 & -3632.70432560337 \tabularnewline
226 & 135458 & 132237.036313871 & 3220.96368612947 \tabularnewline
227 & 73504 & 50623.6038091324 & 22880.3961908676 \tabularnewline
228 & 63123 & 92226.6133927538 & -29103.6133927538 \tabularnewline
229 & 61254 & 82040.4906635738 & -20786.4906635738 \tabularnewline
230 & 74914 & 113861.27953227 & -38947.2795322697 \tabularnewline
231 & 31774 & 46509.4302291862 & -14735.4302291862 \tabularnewline
232 & 81437 & 83953.7276947001 & -2516.72769470011 \tabularnewline
233 & 87186 & 119709.008465883 & -32523.0084658834 \tabularnewline
234 & 50090 & 54938.7070113712 & -4848.70701137116 \tabularnewline
235 & 65745 & 93024.8763513251 & -27279.8763513251 \tabularnewline
236 & 56653 & 70895.6263118383 & -14242.6263118383 \tabularnewline
237 & 158399 & 109342.238979356 & 49056.7610206435 \tabularnewline
238 & 46455 & 53189.387947392 & -6734.387947392 \tabularnewline
239 & 73624 & 85508.8881100845 & -11884.8881100845 \tabularnewline
240 & 38395 & 61818.8794343863 & -23423.8794343863 \tabularnewline
241 & 91899 & 78631.3281412461 & 13267.6718587539 \tabularnewline
242 & 139526 & 139657.067910328 & -131.067910328059 \tabularnewline
243 & 52164 & 69392.0830651114 & -17228.0830651114 \tabularnewline
244 & 51567 & 61088.8259530925 & -9521.82595309246 \tabularnewline
245 & 70551 & 72278.2802063942 & -1727.28020639422 \tabularnewline
246 & 84856 & 94475.9187886569 & -9619.91878865693 \tabularnewline
247 & 102538 & 123648.70702026 & -21110.70702026 \tabularnewline
248 & 86678 & 67718.0887524289 & 18959.9112475711 \tabularnewline
249 & 85709 & 79660.4039370664 & 6048.59606293364 \tabularnewline
250 & 34662 & 47249.7885819675 & -12587.7885819675 \tabularnewline
251 & 150580 & 136348.321412123 & 14231.6785878769 \tabularnewline
252 & 99611 & 93249.6898707083 & 6361.3101292917 \tabularnewline
253 & 19349 & 8002.58131129624 & 11346.4186887038 \tabularnewline
254 & 99373 & 102071.82206826 & -2698.82206826024 \tabularnewline
255 & 86230 & 109468.784657437 & -23238.7846574368 \tabularnewline
256 & 30837 & 30457.6848161285 & 379.315183871449 \tabularnewline
257 & 31706 & 42939.8339292433 & -11233.8339292433 \tabularnewline
258 & 89806 & 80922.0280313203 & 8883.97196867968 \tabularnewline
259 & 62088 & 49547.5310331426 & 12540.4689668574 \tabularnewline
260 & 40151 & 33647.8133494409 & 6503.18665055912 \tabularnewline
261 & 27634 & 40123.5982304009 & -12489.5982304009 \tabularnewline
262 & 76990 & 72344.6612619021 & 4645.3387380979 \tabularnewline
263 & 37460 & 25220.0542616097 & 12239.9457383903 \tabularnewline
264 & 54157 & 59904.3400978663 & -5747.34009786631 \tabularnewline
265 & 49862 & 64443.7088312693 & -14581.7088312693 \tabularnewline
266 & 84337 & 76714.6560322074 & 7622.34396779264 \tabularnewline
267 & 64175 & 87400.8587084556 & -23225.8587084556 \tabularnewline
268 & 59382 & 63915.9880896075 & -4533.9880896075 \tabularnewline
269 & 119308 & 74980.0700272438 & 44327.9299727562 \tabularnewline
270 & 76702 & 91486.7675161748 & -14784.7675161748 \tabularnewline
271 & 103425 & 107006.690779698 & -3581.69077969758 \tabularnewline
272 & 70344 & 70046.033461602 & 297.966538398006 \tabularnewline
273 & 43410 & 41256.1475771436 & 2153.85242285644 \tabularnewline
274 & 104838 & 101098.5206573 & 3739.47934269978 \tabularnewline
275 & 62215 & 51102.2178019305 & 11112.7821980695 \tabularnewline
276 & 69304 & 84213.698001422 & -14909.698001422 \tabularnewline
277 & 53117 & 37057.8532280794 & 16059.1467719206 \tabularnewline
278 & 19764 & 9985.56243778915 & 9778.43756221085 \tabularnewline
279 & 86680 & 90666.0408780647 & -3986.04087806472 \tabularnewline
280 & 84105 & 71882.5517034151 & 12222.4482965849 \tabularnewline
281 & 77945 & 84613.7580279543 & -6668.7580279543 \tabularnewline
282 & 89113 & 71030.6612305313 & 18082.3387694687 \tabularnewline
283 & 91005 & 90858.1322051136 & 146.867794886409 \tabularnewline
284 & 40248 & 28269.0634694847 & 11978.9365305153 \tabularnewline
285 & 64187 & 64576.1229516041 & -389.122951604128 \tabularnewline
286 & 50857 & 50806.8834323527 & 50.1165676473111 \tabularnewline
287 & 56613 & 53770.5592435267 & 2842.44075647329 \tabularnewline
288 & 62792 & 63553.6505297918 & -761.650529791837 \tabularnewline
289 & 72535 & 74653.4056054783 & -2118.40560547827 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201504&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]210907[/C][C]144285.375781012[/C][C]66621.6242189883[/C][/ROW]
[ROW][C]2[/C][C]120982[/C][C]122032.124041681[/C][C]-1050.12404168078[/C][/ROW]
[ROW][C]3[/C][C]176508[/C][C]163535.048500614[/C][C]12972.9514993855[/C][/ROW]
[ROW][C]4[/C][C]179321[/C][C]256784.692053571[/C][C]-77463.6920535706[/C][/ROW]
[ROW][C]5[/C][C]123185[/C][C]87344.7876927778[/C][C]35840.2123072222[/C][/ROW]
[ROW][C]6[/C][C]52746[/C][C]56019.3405148717[/C][C]-3273.34051487168[/C][/ROW]
[ROW][C]7[/C][C]385534[/C][C]354659.697555941[/C][C]30874.3024440593[/C][/ROW]
[ROW][C]8[/C][C]33170[/C][C]30475.5415436982[/C][C]2694.45845630185[/C][/ROW]
[ROW][C]9[/C][C]101645[/C][C]89699.5629223206[/C][C]11945.4370776794[/C][/ROW]
[ROW][C]10[/C][C]149061[/C][C]162228.685631819[/C][C]-13167.6856318189[/C][/ROW]
[ROW][C]11[/C][C]165446[/C][C]141068.41763412[/C][C]24377.5823658796[/C][/ROW]
[ROW][C]12[/C][C]237213[/C][C]208299.197358304[/C][C]28913.8026416964[/C][/ROW]
[ROW][C]13[/C][C]173326[/C][C]191914.682727116[/C][C]-18588.6827271164[/C][/ROW]
[ROW][C]14[/C][C]133131[/C][C]141472.724156073[/C][C]-8341.72415607347[/C][/ROW]
[ROW][C]15[/C][C]258873[/C][C]243260.884991319[/C][C]15612.1150086809[/C][/ROW]
[ROW][C]16[/C][C]180083[/C][C]152522.721625386[/C][C]27560.2783746141[/C][/ROW]
[ROW][C]17[/C][C]324799[/C][C]405462.535830829[/C][C]-80663.5358308289[/C][/ROW]
[ROW][C]18[/C][C]230964[/C][C]194225.361058775[/C][C]36738.638941225[/C][/ROW]
[ROW][C]19[/C][C]236785[/C][C]231322.678630088[/C][C]5462.32136991217[/C][/ROW]
[ROW][C]20[/C][C]135473[/C][C]131530.533801169[/C][C]3942.46619883142[/C][/ROW]
[ROW][C]21[/C][C]202925[/C][C]202704.029435422[/C][C]220.970564577513[/C][/ROW]
[ROW][C]22[/C][C]215147[/C][C]204253.706383138[/C][C]10893.2936168624[/C][/ROW]
[ROW][C]23[/C][C]344297[/C][C]241777.981121807[/C][C]102519.018878193[/C][/ROW]
[ROW][C]24[/C][C]153935[/C][C]115971.917367304[/C][C]37963.082632696[/C][/ROW]
[ROW][C]25[/C][C]132943[/C][C]168017.614151003[/C][C]-35074.6141510028[/C][/ROW]
[ROW][C]26[/C][C]174724[/C][C]271577.081319386[/C][C]-96853.0813193857[/C][/ROW]
[ROW][C]27[/C][C]174415[/C][C]228227.877481282[/C][C]-53812.8774812822[/C][/ROW]
[ROW][C]28[/C][C]225548[/C][C]239529.186043545[/C][C]-13981.1860435453[/C][/ROW]
[ROW][C]29[/C][C]223632[/C][C]191609.432992306[/C][C]32022.5670076936[/C][/ROW]
[ROW][C]30[/C][C]124817[/C][C]134326.940745735[/C][C]-9509.9407457355[/C][/ROW]
[ROW][C]31[/C][C]221698[/C][C]203433.341780608[/C][C]18264.6582193923[/C][/ROW]
[ROW][C]32[/C][C]210767[/C][C]207875.152790057[/C][C]2891.84720994294[/C][/ROW]
[ROW][C]33[/C][C]170266[/C][C]168253.341265817[/C][C]2012.65873418262[/C][/ROW]
[ROW][C]34[/C][C]260561[/C][C]232069.948039758[/C][C]28491.0519602419[/C][/ROW]
[ROW][C]35[/C][C]84853[/C][C]104135.546797716[/C][C]-19282.5467977155[/C][/ROW]
[ROW][C]36[/C][C]294424[/C][C]268720.792523303[/C][C]25703.2074766974[/C][/ROW]
[ROW][C]37[/C][C]101011[/C][C]69274.5950018575[/C][C]31736.4049981425[/C][/ROW]
[ROW][C]38[/C][C]215641[/C][C]208036.283239027[/C][C]7604.71676097338[/C][/ROW]
[ROW][C]39[/C][C]325107[/C][C]260813.677890115[/C][C]64293.3221098848[/C][/ROW]
[ROW][C]40[/C][C]7176[/C][C]5685.33171496939[/C][C]1490.66828503061[/C][/ROW]
[ROW][C]41[/C][C]167542[/C][C]151338.982861517[/C][C]16203.0171384833[/C][/ROW]
[ROW][C]42[/C][C]106408[/C][C]69221.227624139[/C][C]37186.772375861[/C][/ROW]
[ROW][C]43[/C][C]96560[/C][C]121297.558609104[/C][C]-24737.5586091037[/C][/ROW]
[ROW][C]44[/C][C]265769[/C][C]275286.075043571[/C][C]-9517.07504357139[/C][/ROW]
[ROW][C]45[/C][C]269651[/C][C]293861.264849775[/C][C]-24210.2648497753[/C][/ROW]
[ROW][C]46[/C][C]149112[/C][C]158030.149946454[/C][C]-8918.14994645368[/C][/ROW]
[ROW][C]47[/C][C]175824[/C][C]220496.825662797[/C][C]-44672.8256627967[/C][/ROW]
[ROW][C]48[/C][C]152871[/C][C]150174.685260423[/C][C]2696.3147395767[/C][/ROW]
[ROW][C]49[/C][C]111665[/C][C]107336.186246444[/C][C]4328.81375355605[/C][/ROW]
[ROW][C]50[/C][C]116408[/C][C]169169.211481644[/C][C]-52761.2114816438[/C][/ROW]
[ROW][C]51[/C][C]362301[/C][C]320902.544590231[/C][C]41398.4554097689[/C][/ROW]
[ROW][C]52[/C][C]78800[/C][C]90214.7582333501[/C][C]-11414.7582333501[/C][/ROW]
[ROW][C]53[/C][C]183167[/C][C]199807.448686901[/C][C]-16640.4486869007[/C][/ROW]
[ROW][C]54[/C][C]277965[/C][C]304389.108625378[/C][C]-26424.1086253779[/C][/ROW]
[ROW][C]55[/C][C]150629[/C][C]204638.543616228[/C][C]-54009.5436162284[/C][/ROW]
[ROW][C]56[/C][C]168809[/C][C]164356.11692192[/C][C]4452.88307807971[/C][/ROW]
[ROW][C]57[/C][C]24188[/C][C]37222.9419743162[/C][C]-13034.9419743162[/C][/ROW]
[ROW][C]58[/C][C]329267[/C][C]279338.960979214[/C][C]49928.0390207861[/C][/ROW]
[ROW][C]59[/C][C]65029[/C][C]68709.5092435154[/C][C]-3680.50924351537[/C][/ROW]
[ROW][C]60[/C][C]101097[/C][C]108190.037150206[/C][C]-7093.03715020592[/C][/ROW]
[ROW][C]61[/C][C]218946[/C][C]210143.06547644[/C][C]8802.9345235604[/C][/ROW]
[ROW][C]62[/C][C]244052[/C][C]213435.684208586[/C][C]30616.3157914136[/C][/ROW]
[ROW][C]63[/C][C]341570[/C][C]305665.632553323[/C][C]35904.3674466767[/C][/ROW]
[ROW][C]64[/C][C]103597[/C][C]94356.7375033389[/C][C]9240.26249666106[/C][/ROW]
[ROW][C]65[/C][C]233328[/C][C]233572.221992038[/C][C]-244.221992038476[/C][/ROW]
[ROW][C]66[/C][C]256462[/C][C]254198.098994827[/C][C]2263.90100517327[/C][/ROW]
[ROW][C]67[/C][C]206161[/C][C]182903.868693595[/C][C]23257.1313064049[/C][/ROW]
[ROW][C]68[/C][C]311473[/C][C]301806.712087712[/C][C]9666.28791228824[/C][/ROW]
[ROW][C]69[/C][C]235800[/C][C]226657.656145405[/C][C]9142.34385459549[/C][/ROW]
[ROW][C]70[/C][C]177939[/C][C]213702.433470316[/C][C]-35763.4334703163[/C][/ROW]
[ROW][C]71[/C][C]207176[/C][C]194477.883769621[/C][C]12698.1162303788[/C][/ROW]
[ROW][C]72[/C][C]196553[/C][C]148786.931295893[/C][C]47766.0687041069[/C][/ROW]
[ROW][C]73[/C][C]174184[/C][C]132955.474581552[/C][C]41228.525418448[/C][/ROW]
[ROW][C]74[/C][C]143246[/C][C]166015.878264249[/C][C]-22769.8782642492[/C][/ROW]
[ROW][C]75[/C][C]187559[/C][C]219406.626694279[/C][C]-31847.6266942792[/C][/ROW]
[ROW][C]76[/C][C]187681[/C][C]205981.091688272[/C][C]-18300.0916882723[/C][/ROW]
[ROW][C]77[/C][C]119016[/C][C]157720.002427933[/C][C]-38704.0024279332[/C][/ROW]
[ROW][C]78[/C][C]182192[/C][C]198598.477033825[/C][C]-16406.4770338248[/C][/ROW]
[ROW][C]79[/C][C]73566[/C][C]98901.5059160707[/C][C]-25335.5059160707[/C][/ROW]
[ROW][C]80[/C][C]194979[/C][C]191874.031498651[/C][C]3104.96850134912[/C][/ROW]
[ROW][C]81[/C][C]167488[/C][C]164333.416550113[/C][C]3154.58344988723[/C][/ROW]
[ROW][C]82[/C][C]143756[/C][C]179641.594947699[/C][C]-35885.5949476987[/C][/ROW]
[ROW][C]83[/C][C]275541[/C][C]235860.40168417[/C][C]39680.5983158304[/C][/ROW]
[ROW][C]84[/C][C]243199[/C][C]214257.060215183[/C][C]28941.9397848166[/C][/ROW]
[ROW][C]85[/C][C]182999[/C][C]163130.07035331[/C][C]19868.9296466898[/C][/ROW]
[ROW][C]86[/C][C]135649[/C][C]165118.010046961[/C][C]-29469.0100469608[/C][/ROW]
[ROW][C]87[/C][C]152299[/C][C]163990.846569904[/C][C]-11691.8465699036[/C][/ROW]
[ROW][C]88[/C][C]120221[/C][C]138490.746841127[/C][C]-18269.7468411266[/C][/ROW]
[ROW][C]89[/C][C]346485[/C][C]278571.319290614[/C][C]67913.6807093857[/C][/ROW]
[ROW][C]90[/C][C]145790[/C][C]162398.776430246[/C][C]-16608.776430246[/C][/ROW]
[ROW][C]91[/C][C]193339[/C][C]154607.009636595[/C][C]38731.9903634052[/C][/ROW]
[ROW][C]92[/C][C]80953[/C][C]97042.7107751453[/C][C]-16089.7107751453[/C][/ROW]
[ROW][C]93[/C][C]122774[/C][C]152103.628037358[/C][C]-29329.6280373581[/C][/ROW]
[ROW][C]94[/C][C]130585[/C][C]122486.743676892[/C][C]8098.25632310765[/C][/ROW]
[ROW][C]95[/C][C]112611[/C][C]94370.1079671764[/C][C]18240.8920328236[/C][/ROW]
[ROW][C]96[/C][C]286468[/C][C]274455.572864264[/C][C]12012.4271357357[/C][/ROW]
[ROW][C]97[/C][C]241066[/C][C]210952.085839208[/C][C]30113.9141607917[/C][/ROW]
[ROW][C]98[/C][C]148446[/C][C]275849.159850812[/C][C]-127403.159850812[/C][/ROW]
[ROW][C]99[/C][C]204713[/C][C]182353.600512851[/C][C]22359.3994871491[/C][/ROW]
[ROW][C]100[/C][C]182079[/C][C]193056.883859046[/C][C]-10977.8838590459[/C][/ROW]
[ROW][C]101[/C][C]140344[/C][C]123369.664990511[/C][C]16974.3350094888[/C][/ROW]
[ROW][C]102[/C][C]220516[/C][C]244256.141595084[/C][C]-23740.1415950843[/C][/ROW]
[ROW][C]103[/C][C]243060[/C][C]198213.838281433[/C][C]44846.1617185673[/C][/ROW]
[ROW][C]104[/C][C]162765[/C][C]151022.217881129[/C][C]11742.7821188706[/C][/ROW]
[ROW][C]105[/C][C]182613[/C][C]150837.716708155[/C][C]31775.2832918447[/C][/ROW]
[ROW][C]106[/C][C]232138[/C][C]206622.055399049[/C][C]25515.9446009509[/C][/ROW]
[ROW][C]107[/C][C]265318[/C][C]296869.914413626[/C][C]-31551.9144136256[/C][/ROW]
[ROW][C]108[/C][C]85574[/C][C]92590.2784076729[/C][C]-7016.27840767294[/C][/ROW]
[ROW][C]109[/C][C]310839[/C][C]282881.695175759[/C][C]27957.3048242412[/C][/ROW]
[ROW][C]110[/C][C]225060[/C][C]224398.825460428[/C][C]661.174539572378[/C][/ROW]
[ROW][C]111[/C][C]232317[/C][C]217050.315421871[/C][C]15266.684578129[/C][/ROW]
[ROW][C]112[/C][C]144966[/C][C]159200.465553051[/C][C]-14234.4655530514[/C][/ROW]
[ROW][C]113[/C][C]43287[/C][C]59004.4153654842[/C][C]-15717.4153654842[/C][/ROW]
[ROW][C]114[/C][C]155754[/C][C]150608.415416863[/C][C]5145.58458313673[/C][/ROW]
[ROW][C]115[/C][C]164709[/C][C]185275.69422131[/C][C]-20566.6942213103[/C][/ROW]
[ROW][C]116[/C][C]201940[/C][C]232341.304453582[/C][C]-30401.3044535824[/C][/ROW]
[ROW][C]117[/C][C]235454[/C][C]255964.23035633[/C][C]-20510.2303563301[/C][/ROW]
[ROW][C]118[/C][C]220801[/C][C]172159.146454834[/C][C]48641.8535451664[/C][/ROW]
[ROW][C]119[/C][C]99466[/C][C]96169.8651214164[/C][C]3296.13487858356[/C][/ROW]
[ROW][C]120[/C][C]92661[/C][C]112852.407141525[/C][C]-20191.4071415249[/C][/ROW]
[ROW][C]121[/C][C]133328[/C][C]136340.866340939[/C][C]-3012.86634093898[/C][/ROW]
[ROW][C]122[/C][C]61361[/C][C]106358.119088189[/C][C]-44997.1190881893[/C][/ROW]
[ROW][C]123[/C][C]125930[/C][C]153339.852745323[/C][C]-27409.8527453232[/C][/ROW]
[ROW][C]124[/C][C]100750[/C][C]157213.802410615[/C][C]-56463.8024106148[/C][/ROW]
[ROW][C]125[/C][C]224549[/C][C]149541.870960733[/C][C]75007.1290392667[/C][/ROW]
[ROW][C]126[/C][C]82316[/C][C]62343.9631415906[/C][C]19972.0368584094[/C][/ROW]
[ROW][C]127[/C][C]102010[/C][C]91544.3596652394[/C][C]10465.6403347606[/C][/ROW]
[ROW][C]128[/C][C]101523[/C][C]114213.319594379[/C][C]-12690.3195943788[/C][/ROW]
[ROW][C]129[/C][C]243511[/C][C]219791.093223762[/C][C]23719.9067762384[/C][/ROW]
[ROW][C]130[/C][C]22938[/C][C]20600.4832272443[/C][C]2337.51677275574[/C][/ROW]
[ROW][C]131[/C][C]41566[/C][C]44927.3734047595[/C][C]-3361.37340475949[/C][/ROW]
[ROW][C]132[/C][C]152474[/C][C]190740.628527472[/C][C]-38266.6285274721[/C][/ROW]
[ROW][C]133[/C][C]61857[/C][C]45575.640399533[/C][C]16281.359600467[/C][/ROW]
[ROW][C]134[/C][C]99923[/C][C]160912.297526393[/C][C]-60989.2975263926[/C][/ROW]
[ROW][C]135[/C][C]132487[/C][C]145537.289618272[/C][C]-13050.2896182722[/C][/ROW]
[ROW][C]136[/C][C]317394[/C][C]260711.859925924[/C][C]56682.1400740759[/C][/ROW]
[ROW][C]137[/C][C]21054[/C][C]18919.5069177824[/C][C]2134.49308221758[/C][/ROW]
[ROW][C]138[/C][C]209641[/C][C]166553.865332094[/C][C]43087.1346679055[/C][/ROW]
[ROW][C]139[/C][C]22648[/C][C]40773.2436681083[/C][C]-18125.2436681083[/C][/ROW]
[ROW][C]140[/C][C]31414[/C][C]40054.5361063144[/C][C]-8640.53610631439[/C][/ROW]
[ROW][C]141[/C][C]46698[/C][C]70631.3740084011[/C][C]-23933.3740084011[/C][/ROW]
[ROW][C]142[/C][C]131698[/C][C]140978.152685444[/C][C]-9280.15268544391[/C][/ROW]
[ROW][C]143[/C][C]91735[/C][C]85383.8001367473[/C][C]6351.19986325273[/C][/ROW]
[ROW][C]144[/C][C]244749[/C][C]257063.486106578[/C][C]-12314.4861065777[/C][/ROW]
[ROW][C]145[/C][C]184510[/C][C]175798.18802286[/C][C]8711.81197713967[/C][/ROW]
[ROW][C]146[/C][C]79863[/C][C]98822.3600115779[/C][C]-18959.3600115779[/C][/ROW]
[ROW][C]147[/C][C]128423[/C][C]131909.337919037[/C][C]-3486.33791903744[/C][/ROW]
[ROW][C]148[/C][C]97839[/C][C]108774.079586129[/C][C]-10935.0795861288[/C][/ROW]
[ROW][C]149[/C][C]38214[/C][C]57533.5571714318[/C][C]-19319.5571714318[/C][/ROW]
[ROW][C]150[/C][C]151101[/C][C]152832.606786994[/C][C]-1731.6067869937[/C][/ROW]
[ROW][C]151[/C][C]272458[/C][C]248836.912805328[/C][C]23621.0871946719[/C][/ROW]
[ROW][C]152[/C][C]172494[/C][C]155388.49042751[/C][C]17105.5095724896[/C][/ROW]
[ROW][C]153[/C][C]108043[/C][C]120039.38847555[/C][C]-11996.3884755496[/C][/ROW]
[ROW][C]154[/C][C]328107[/C][C]322878.719823653[/C][C]5228.28017634693[/C][/ROW]
[ROW][C]155[/C][C]250579[/C][C]235484.447092498[/C][C]15094.5529075022[/C][/ROW]
[ROW][C]156[/C][C]351067[/C][C]306700.654834661[/C][C]44366.3451653391[/C][/ROW]
[ROW][C]157[/C][C]158015[/C][C]139232.022355929[/C][C]18782.9776440714[/C][/ROW]
[ROW][C]158[/C][C]98866[/C][C]79397.6434871744[/C][C]19468.3565128256[/C][/ROW]
[ROW][C]159[/C][C]85439[/C][C]108277.546391933[/C][C]-22838.5463919328[/C][/ROW]
[ROW][C]160[/C][C]229242[/C][C]251331.904626319[/C][C]-22089.9046263187[/C][/ROW]
[ROW][C]161[/C][C]351619[/C][C]329669.506421945[/C][C]21949.4935780551[/C][/ROW]
[ROW][C]162[/C][C]84207[/C][C]97486.9673013136[/C][C]-13279.9673013137[/C][/ROW]
[ROW][C]163[/C][C]120445[/C][C]135384.745665922[/C][C]-14939.745665922[/C][/ROW]
[ROW][C]164[/C][C]324598[/C][C]346239.428063631[/C][C]-21641.4280636307[/C][/ROW]
[ROW][C]165[/C][C]131069[/C][C]161296.024451738[/C][C]-30227.024451738[/C][/ROW]
[ROW][C]166[/C][C]204271[/C][C]169762.862398686[/C][C]34508.1376013143[/C][/ROW]
[ROW][C]167[/C][C]165543[/C][C]169558.197440864[/C][C]-4015.19744086372[/C][/ROW]
[ROW][C]168[/C][C]141722[/C][C]125269.777638114[/C][C]16452.2223618862[/C][/ROW]
[ROW][C]169[/C][C]116048[/C][C]92916.1125327357[/C][C]23131.8874672642[/C][/ROW]
[ROW][C]170[/C][C]250047[/C][C]162100.955598377[/C][C]87946.0444016227[/C][/ROW]
[ROW][C]171[/C][C]299775[/C][C]310393.019056615[/C][C]-10618.0190566148[/C][/ROW]
[ROW][C]172[/C][C]195838[/C][C]191874.58565494[/C][C]3963.41434505961[/C][/ROW]
[ROW][C]173[/C][C]173260[/C][C]171364.03604536[/C][C]1895.9639546404[/C][/ROW]
[ROW][C]174[/C][C]254488[/C][C]235478.753974114[/C][C]19009.2460258861[/C][/ROW]
[ROW][C]175[/C][C]104389[/C][C]194877.555355163[/C][C]-90488.5553551629[/C][/ROW]
[ROW][C]176[/C][C]136084[/C][C]133096.169693976[/C][C]2987.83030602399[/C][/ROW]
[ROW][C]177[/C][C]199476[/C][C]230958.768296519[/C][C]-31482.7682965189[/C][/ROW]
[ROW][C]178[/C][C]92499[/C][C]86610.7075964153[/C][C]5888.29240358467[/C][/ROW]
[ROW][C]179[/C][C]224330[/C][C]227129.67594574[/C][C]-2799.67594574039[/C][/ROW]
[ROW][C]180[/C][C]135781[/C][C]98589.8730068246[/C][C]37191.1269931754[/C][/ROW]
[ROW][C]181[/C][C]74408[/C][C]95243.1784002413[/C][C]-20835.1784002413[/C][/ROW]
[ROW][C]182[/C][C]81240[/C][C]135837.423718637[/C][C]-54597.4237186372[/C][/ROW]
[ROW][C]183[/C][C]14688[/C][C]7598.25377491776[/C][C]7089.74622508224[/C][/ROW]
[ROW][C]184[/C][C]181633[/C][C]157681.418400363[/C][C]23951.5815996366[/C][/ROW]
[ROW][C]185[/C][C]271856[/C][C]245818.160379824[/C][C]26037.839620176[/C][/ROW]
[ROW][C]186[/C][C]7199[/C][C]5561.12517759219[/C][C]1637.87482240781[/C][/ROW]
[ROW][C]187[/C][C]46660[/C][C]47029.2738362422[/C][C]-369.273836242239[/C][/ROW]
[ROW][C]188[/C][C]17547[/C][C]3614.08910513625[/C][C]13932.9108948638[/C][/ROW]
[ROW][C]189[/C][C]133368[/C][C]125177.068946415[/C][C]8190.93105358531[/C][/ROW]
[ROW][C]190[/C][C]95227[/C][C]84394.9311098327[/C][C]10832.0688901673[/C][/ROW]
[ROW][C]191[/C][C]152601[/C][C]118610.212297653[/C][C]33990.7877023469[/C][/ROW]
[ROW][C]192[/C][C]98146[/C][C]105999.969260576[/C][C]-7853.96926057593[/C][/ROW]
[ROW][C]193[/C][C]79619[/C][C]93558.7273837844[/C][C]-13939.7273837844[/C][/ROW]
[ROW][C]194[/C][C]59194[/C][C]59689.5152665303[/C][C]-495.515266530294[/C][/ROW]
[ROW][C]195[/C][C]139942[/C][C]142783.009111982[/C][C]-2841.00911198235[/C][/ROW]
[ROW][C]196[/C][C]118612[/C][C]113306.92265775[/C][C]5305.07734225031[/C][/ROW]
[ROW][C]197[/C][C]72880[/C][C]96702.6699692755[/C][C]-23822.6699692755[/C][/ROW]
[ROW][C]198[/C][C]65475[/C][C]57378.4594139082[/C][C]8096.54058609177[/C][/ROW]
[ROW][C]199[/C][C]99643[/C][C]131036.138637591[/C][C]-31393.1386375912[/C][/ROW]
[ROW][C]200[/C][C]71965[/C][C]78116.9269658511[/C][C]-6151.92696585112[/C][/ROW]
[ROW][C]201[/C][C]77272[/C][C]71933.9531842287[/C][C]5338.04681577133[/C][/ROW]
[ROW][C]202[/C][C]49289[/C][C]45148.5576650108[/C][C]4140.4423349892[/C][/ROW]
[ROW][C]203[/C][C]135131[/C][C]124751.971533042[/C][C]10379.0284669577[/C][/ROW]
[ROW][C]204[/C][C]108446[/C][C]103949.50511689[/C][C]4496.49488311013[/C][/ROW]
[ROW][C]205[/C][C]89746[/C][C]121589.068367333[/C][C]-31843.0683673334[/C][/ROW]
[ROW][C]206[/C][C]44296[/C][C]53586.0298620151[/C][C]-9290.02986201508[/C][/ROW]
[ROW][C]207[/C][C]77648[/C][C]85081.3789320285[/C][C]-7433.37893202851[/C][/ROW]
[ROW][C]208[/C][C]181528[/C][C]139694.153218221[/C][C]41833.8467817785[/C][/ROW]
[ROW][C]209[/C][C]134019[/C][C]110873.343497695[/C][C]23145.656502305[/C][/ROW]
[ROW][C]210[/C][C]124064[/C][C]129041.377645068[/C][C]-4977.37764506784[/C][/ROW]
[ROW][C]211[/C][C]92630[/C][C]79640.9944756126[/C][C]12989.0055243874[/C][/ROW]
[ROW][C]212[/C][C]121848[/C][C]94879.7075104969[/C][C]26968.2924895031[/C][/ROW]
[ROW][C]213[/C][C]52915[/C][C]54818.9043936304[/C][C]-1903.9043936304[/C][/ROW]
[ROW][C]214[/C][C]81872[/C][C]84021.8881245965[/C][C]-2149.88812459648[/C][/ROW]
[ROW][C]215[/C][C]58981[/C][C]89797.6644806432[/C][C]-30816.6644806432[/C][/ROW]
[ROW][C]216[/C][C]53515[/C][C]69658.81266221[/C][C]-16143.8126622099[/C][/ROW]
[ROW][C]217[/C][C]60812[/C][C]95268.4087428342[/C][C]-34456.4087428342[/C][/ROW]
[ROW][C]218[/C][C]56375[/C][C]49716.8045970966[/C][C]6658.19540290344[/C][/ROW]
[ROW][C]219[/C][C]65490[/C][C]62328.2616874187[/C][C]3161.73831258132[/C][/ROW]
[ROW][C]220[/C][C]80949[/C][C]57280.0870737474[/C][C]23668.9129262526[/C][/ROW]
[ROW][C]221[/C][C]76302[/C][C]96247.3756608022[/C][C]-19945.3756608022[/C][/ROW]
[ROW][C]222[/C][C]104011[/C][C]108770.168382487[/C][C]-4759.16838248697[/C][/ROW]
[ROW][C]223[/C][C]98104[/C][C]145807.305485468[/C][C]-47703.3054854679[/C][/ROW]
[ROW][C]224[/C][C]67989[/C][C]62798.2216740227[/C][C]5190.77832597731[/C][/ROW]
[ROW][C]225[/C][C]30989[/C][C]34621.7043256034[/C][C]-3632.70432560337[/C][/ROW]
[ROW][C]226[/C][C]135458[/C][C]132237.036313871[/C][C]3220.96368612947[/C][/ROW]
[ROW][C]227[/C][C]73504[/C][C]50623.6038091324[/C][C]22880.3961908676[/C][/ROW]
[ROW][C]228[/C][C]63123[/C][C]92226.6133927538[/C][C]-29103.6133927538[/C][/ROW]
[ROW][C]229[/C][C]61254[/C][C]82040.4906635738[/C][C]-20786.4906635738[/C][/ROW]
[ROW][C]230[/C][C]74914[/C][C]113861.27953227[/C][C]-38947.2795322697[/C][/ROW]
[ROW][C]231[/C][C]31774[/C][C]46509.4302291862[/C][C]-14735.4302291862[/C][/ROW]
[ROW][C]232[/C][C]81437[/C][C]83953.7276947001[/C][C]-2516.72769470011[/C][/ROW]
[ROW][C]233[/C][C]87186[/C][C]119709.008465883[/C][C]-32523.0084658834[/C][/ROW]
[ROW][C]234[/C][C]50090[/C][C]54938.7070113712[/C][C]-4848.70701137116[/C][/ROW]
[ROW][C]235[/C][C]65745[/C][C]93024.8763513251[/C][C]-27279.8763513251[/C][/ROW]
[ROW][C]236[/C][C]56653[/C][C]70895.6263118383[/C][C]-14242.6263118383[/C][/ROW]
[ROW][C]237[/C][C]158399[/C][C]109342.238979356[/C][C]49056.7610206435[/C][/ROW]
[ROW][C]238[/C][C]46455[/C][C]53189.387947392[/C][C]-6734.387947392[/C][/ROW]
[ROW][C]239[/C][C]73624[/C][C]85508.8881100845[/C][C]-11884.8881100845[/C][/ROW]
[ROW][C]240[/C][C]38395[/C][C]61818.8794343863[/C][C]-23423.8794343863[/C][/ROW]
[ROW][C]241[/C][C]91899[/C][C]78631.3281412461[/C][C]13267.6718587539[/C][/ROW]
[ROW][C]242[/C][C]139526[/C][C]139657.067910328[/C][C]-131.067910328059[/C][/ROW]
[ROW][C]243[/C][C]52164[/C][C]69392.0830651114[/C][C]-17228.0830651114[/C][/ROW]
[ROW][C]244[/C][C]51567[/C][C]61088.8259530925[/C][C]-9521.82595309246[/C][/ROW]
[ROW][C]245[/C][C]70551[/C][C]72278.2802063942[/C][C]-1727.28020639422[/C][/ROW]
[ROW][C]246[/C][C]84856[/C][C]94475.9187886569[/C][C]-9619.91878865693[/C][/ROW]
[ROW][C]247[/C][C]102538[/C][C]123648.70702026[/C][C]-21110.70702026[/C][/ROW]
[ROW][C]248[/C][C]86678[/C][C]67718.0887524289[/C][C]18959.9112475711[/C][/ROW]
[ROW][C]249[/C][C]85709[/C][C]79660.4039370664[/C][C]6048.59606293364[/C][/ROW]
[ROW][C]250[/C][C]34662[/C][C]47249.7885819675[/C][C]-12587.7885819675[/C][/ROW]
[ROW][C]251[/C][C]150580[/C][C]136348.321412123[/C][C]14231.6785878769[/C][/ROW]
[ROW][C]252[/C][C]99611[/C][C]93249.6898707083[/C][C]6361.3101292917[/C][/ROW]
[ROW][C]253[/C][C]19349[/C][C]8002.58131129624[/C][C]11346.4186887038[/C][/ROW]
[ROW][C]254[/C][C]99373[/C][C]102071.82206826[/C][C]-2698.82206826024[/C][/ROW]
[ROW][C]255[/C][C]86230[/C][C]109468.784657437[/C][C]-23238.7846574368[/C][/ROW]
[ROW][C]256[/C][C]30837[/C][C]30457.6848161285[/C][C]379.315183871449[/C][/ROW]
[ROW][C]257[/C][C]31706[/C][C]42939.8339292433[/C][C]-11233.8339292433[/C][/ROW]
[ROW][C]258[/C][C]89806[/C][C]80922.0280313203[/C][C]8883.97196867968[/C][/ROW]
[ROW][C]259[/C][C]62088[/C][C]49547.5310331426[/C][C]12540.4689668574[/C][/ROW]
[ROW][C]260[/C][C]40151[/C][C]33647.8133494409[/C][C]6503.18665055912[/C][/ROW]
[ROW][C]261[/C][C]27634[/C][C]40123.5982304009[/C][C]-12489.5982304009[/C][/ROW]
[ROW][C]262[/C][C]76990[/C][C]72344.6612619021[/C][C]4645.3387380979[/C][/ROW]
[ROW][C]263[/C][C]37460[/C][C]25220.0542616097[/C][C]12239.9457383903[/C][/ROW]
[ROW][C]264[/C][C]54157[/C][C]59904.3400978663[/C][C]-5747.34009786631[/C][/ROW]
[ROW][C]265[/C][C]49862[/C][C]64443.7088312693[/C][C]-14581.7088312693[/C][/ROW]
[ROW][C]266[/C][C]84337[/C][C]76714.6560322074[/C][C]7622.34396779264[/C][/ROW]
[ROW][C]267[/C][C]64175[/C][C]87400.8587084556[/C][C]-23225.8587084556[/C][/ROW]
[ROW][C]268[/C][C]59382[/C][C]63915.9880896075[/C][C]-4533.9880896075[/C][/ROW]
[ROW][C]269[/C][C]119308[/C][C]74980.0700272438[/C][C]44327.9299727562[/C][/ROW]
[ROW][C]270[/C][C]76702[/C][C]91486.7675161748[/C][C]-14784.7675161748[/C][/ROW]
[ROW][C]271[/C][C]103425[/C][C]107006.690779698[/C][C]-3581.69077969758[/C][/ROW]
[ROW][C]272[/C][C]70344[/C][C]70046.033461602[/C][C]297.966538398006[/C][/ROW]
[ROW][C]273[/C][C]43410[/C][C]41256.1475771436[/C][C]2153.85242285644[/C][/ROW]
[ROW][C]274[/C][C]104838[/C][C]101098.5206573[/C][C]3739.47934269978[/C][/ROW]
[ROW][C]275[/C][C]62215[/C][C]51102.2178019305[/C][C]11112.7821980695[/C][/ROW]
[ROW][C]276[/C][C]69304[/C][C]84213.698001422[/C][C]-14909.698001422[/C][/ROW]
[ROW][C]277[/C][C]53117[/C][C]37057.8532280794[/C][C]16059.1467719206[/C][/ROW]
[ROW][C]278[/C][C]19764[/C][C]9985.56243778915[/C][C]9778.43756221085[/C][/ROW]
[ROW][C]279[/C][C]86680[/C][C]90666.0408780647[/C][C]-3986.04087806472[/C][/ROW]
[ROW][C]280[/C][C]84105[/C][C]71882.5517034151[/C][C]12222.4482965849[/C][/ROW]
[ROW][C]281[/C][C]77945[/C][C]84613.7580279543[/C][C]-6668.7580279543[/C][/ROW]
[ROW][C]282[/C][C]89113[/C][C]71030.6612305313[/C][C]18082.3387694687[/C][/ROW]
[ROW][C]283[/C][C]91005[/C][C]90858.1322051136[/C][C]146.867794886409[/C][/ROW]
[ROW][C]284[/C][C]40248[/C][C]28269.0634694847[/C][C]11978.9365305153[/C][/ROW]
[ROW][C]285[/C][C]64187[/C][C]64576.1229516041[/C][C]-389.122951604128[/C][/ROW]
[ROW][C]286[/C][C]50857[/C][C]50806.8834323527[/C][C]50.1165676473111[/C][/ROW]
[ROW][C]287[/C][C]56613[/C][C]53770.5592435267[/C][C]2842.44075647329[/C][/ROW]
[ROW][C]288[/C][C]62792[/C][C]63553.6505297918[/C][C]-761.650529791837[/C][/ROW]
[ROW][C]289[/C][C]72535[/C][C]74653.4056054783[/C][C]-2118.40560547827[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201504&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201504&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
1210907144285.37578101266621.6242189883
2120982122032.124041681-1050.12404168078
3176508163535.04850061412972.9514993855
4179321256784.692053571-77463.6920535706
512318587344.787692777835840.2123072222
65274656019.3405148717-3273.34051487168
7385534354659.69755594130874.3024440593
83317030475.54154369822694.45845630185
910164589699.562922320611945.4370776794
10149061162228.685631819-13167.6856318189
11165446141068.4176341224377.5823658796
12237213208299.19735830428913.8026416964
13173326191914.682727116-18588.6827271164
14133131141472.724156073-8341.72415607347
15258873243260.88499131915612.1150086809
16180083152522.72162538627560.2783746141
17324799405462.535830829-80663.5358308289
18230964194225.36105877536738.638941225
19236785231322.6786300885462.32136991217
20135473131530.5338011693942.46619883142
21202925202704.029435422220.970564577513
22215147204253.70638313810893.2936168624
23344297241777.981121807102519.018878193
24153935115971.91736730437963.082632696
25132943168017.614151003-35074.6141510028
26174724271577.081319386-96853.0813193857
27174415228227.877481282-53812.8774812822
28225548239529.186043545-13981.1860435453
29223632191609.43299230632022.5670076936
30124817134326.940745735-9509.9407457355
31221698203433.34178060818264.6582193923
32210767207875.1527900572891.84720994294
33170266168253.3412658172012.65873418262
34260561232069.94803975828491.0519602419
3584853104135.546797716-19282.5467977155
36294424268720.79252330325703.2074766974
3710101169274.595001857531736.4049981425
38215641208036.2832390277604.71676097338
39325107260813.67789011564293.3221098848
4071765685.331714969391490.66828503061
41167542151338.98286151716203.0171384833
4210640869221.22762413937186.772375861
4396560121297.558609104-24737.5586091037
44265769275286.075043571-9517.07504357139
45269651293861.264849775-24210.2648497753
46149112158030.149946454-8918.14994645368
47175824220496.825662797-44672.8256627967
48152871150174.6852604232696.3147395767
49111665107336.1862464444328.81375355605
50116408169169.211481644-52761.2114816438
51362301320902.54459023141398.4554097689
527880090214.7582333501-11414.7582333501
53183167199807.448686901-16640.4486869007
54277965304389.108625378-26424.1086253779
55150629204638.543616228-54009.5436162284
56168809164356.116921924452.88307807971
572418837222.9419743162-13034.9419743162
58329267279338.96097921449928.0390207861
596502968709.5092435154-3680.50924351537
60101097108190.037150206-7093.03715020592
61218946210143.065476448802.9345235604
62244052213435.68420858630616.3157914136
63341570305665.63255332335904.3674466767
6410359794356.73750333899240.26249666106
65233328233572.221992038-244.221992038476
66256462254198.0989948272263.90100517327
67206161182903.86869359523257.1313064049
68311473301806.7120877129666.28791228824
69235800226657.6561454059142.34385459549
70177939213702.433470316-35763.4334703163
71207176194477.88376962112698.1162303788
72196553148786.93129589347766.0687041069
73174184132955.47458155241228.525418448
74143246166015.878264249-22769.8782642492
75187559219406.626694279-31847.6266942792
76187681205981.091688272-18300.0916882723
77119016157720.002427933-38704.0024279332
78182192198598.477033825-16406.4770338248
797356698901.5059160707-25335.5059160707
80194979191874.0314986513104.96850134912
81167488164333.4165501133154.58344988723
82143756179641.594947699-35885.5949476987
83275541235860.4016841739680.5983158304
84243199214257.06021518328941.9397848166
85182999163130.0703533119868.9296466898
86135649165118.010046961-29469.0100469608
87152299163990.846569904-11691.8465699036
88120221138490.746841127-18269.7468411266
89346485278571.31929061467913.6807093857
90145790162398.776430246-16608.776430246
91193339154607.00963659538731.9903634052
928095397042.7107751453-16089.7107751453
93122774152103.628037358-29329.6280373581
94130585122486.7436768928098.25632310765
9511261194370.107967176418240.8920328236
96286468274455.57286426412012.4271357357
97241066210952.08583920830113.9141607917
98148446275849.159850812-127403.159850812
99204713182353.60051285122359.3994871491
100182079193056.883859046-10977.8838590459
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18281240135837.423718637-54597.4237186372
183146887598.253774917767089.74622508224
184181633157681.41840036323951.5815996366
185271856245818.16037982426037.839620176
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1874666047029.2738362422-369.273836242239
188175473614.0891051362513932.9108948638
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1909522784394.931109832710832.0688901673
191152601118610.21229765333990.7877023469
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1937961993558.7273837844-13939.7273837844
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195139942142783.009111982-2841.00911198235
196118612113306.922657755305.07734225031
1977288096702.6699692755-23822.6699692755
1986547557378.45941390828096.54058609177
19999643131036.138637591-31393.1386375912
2007196578116.9269658511-6151.92696585112
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2024928945148.55766501084140.4423349892
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208181528139694.15321822141833.8467817785
209134019110873.34349769523145.656502305
210124064129041.377645068-4977.37764506784
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21212184894879.707510496926968.2924895031
2135291554818.9043936304-1903.9043936304
2148187284021.8881245965-2149.88812459648
2155898189797.6644806432-30816.6644806432
2165351569658.81266221-16143.8126622099
2176081295268.4087428342-34456.4087428342
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2208094957280.087073747423668.9129262526
2217630296247.3756608022-19945.3756608022
222104011108770.168382487-4759.16838248697
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2246798962798.22167402275190.77832597731
2253098934621.7043256034-3632.70432560337
226135458132237.0363138713220.96368612947
2277350450623.603809132422880.3961908676
2286312392226.6133927538-29103.6133927538
2296125482040.4906635738-20786.4906635738
23074914113861.27953227-38947.2795322697
2313177446509.4302291862-14735.4302291862
2328143783953.7276947001-2516.72769470011
23387186119709.008465883-32523.0084658834
2345009054938.7070113712-4848.70701137116
2356574593024.8763513251-27279.8763513251
2365665370895.6263118383-14242.6263118383
237158399109342.23897935649056.7610206435
2384645553189.387947392-6734.387947392
2397362485508.8881100845-11884.8881100845
2403839561818.8794343863-23423.8794343863
2419189978631.328141246113267.6718587539
242139526139657.067910328-131.067910328059
2435216469392.0830651114-17228.0830651114
2445156761088.8259530925-9521.82595309246
2457055172278.2802063942-1727.28020639422
2468485694475.9187886569-9619.91878865693
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2488667867718.088752428918959.9112475711
2498570979660.40393706646048.59606293364
2503466247249.7885819675-12587.7885819675
251150580136348.32141212314231.6785878769
2529961193249.68987070836361.3101292917
253193498002.5813112962411346.4186887038
25499373102071.82206826-2698.82206826024
25586230109468.784657437-23238.7846574368
2563083730457.6848161285379.315183871449
2573170642939.8339292433-11233.8339292433
2588980680922.02803132038883.97196867968
2596208849547.531033142612540.4689668574
2604015133647.81334944096503.18665055912
2612763440123.5982304009-12489.5982304009
2627699072344.66126190214645.3387380979
2633746025220.054261609712239.9457383903
2645415759904.3400978663-5747.34009786631
2654986264443.7088312693-14581.7088312693
2668433776714.65603220747622.34396779264
2676417587400.8587084556-23225.8587084556
2685938263915.9880896075-4533.9880896075
26911930874980.070027243844327.9299727562
2707670291486.7675161748-14784.7675161748
271103425107006.690779698-3581.69077969758
2727034470046.033461602297.966538398006
2734341041256.14757714362153.85242285644
274104838101098.52065733739.47934269978
2756221551102.217801930511112.7821980695
2766930484213.698001422-14909.698001422
2775311737057.853228079416059.1467719206
278197649985.562437789159778.43756221085
2798668090666.0408780647-3986.04087806472
2808410571882.551703415112222.4482965849
2817794584613.7580279543-6668.7580279543
2828911371030.661230531318082.3387694687
2839100590858.1322051136146.867794886409
2844024828269.063469484711978.9365305153
2856418764576.1229516041-389.122951604128
2865085750806.883432352750.1165676473111
2875661353770.55924352672842.44075647329
2886279263553.6505297918-761.650529791837
2897253574653.4056054783-2118.40560547827






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.9732692128453570.05346157430928540.0267307871546427
130.9824121128732940.03517577425341240.0175878871267062
140.9645165129533290.07096697409334290.0354834870466714
150.9486403960038290.1027192079923420.0513596039961711
160.9170240176829640.1659519646340710.0829759823170355
170.9432891798853290.1134216402293420.056710820114671
180.9185195243200950.1629609513598110.0814804756799054
190.9022201990396090.1955596019207820.0977798009603911
200.9376113436194430.1247773127611150.0623886563805573
210.9160636549950620.1678726900098760.0839363450049379
220.8876686737000070.2246626525999850.112331326299993
230.9975597466129590.004880506774081360.00244025338704068
240.9963961087145020.007207782570995890.00360389128549794
250.9958656930661790.008268613867642730.00413430693382136
260.9992736043607570.001452791278485560.000726395639242782
270.9996261521146080.00074769577078340.0003738478853917
280.9993824780293950.001235043941209920.00061752197060496
290.9993296677894060.001340664421188340.000670332210594171
300.9992181957443920.001563608511216450.000781804255608226
310.9991855417802020.001628916439596130.000814458219798063
320.9987037532360050.002592493527989910.00129624676399495
330.9980655897877580.003868820424484680.00193441021224234
340.9980310527721220.003937894455755640.00196894722787782
350.9980828426179270.003834314764145440.00191715738207272
360.9976212642386010.004757471522797390.00237873576139869
370.9968667221356240.006266555728751060.00313327786437553
380.9954822618838780.00903547623224410.00451773811612205
390.9990145424936140.001970915012772710.000985457506386357
400.9991810992343450.001637801531309790.000818900765654897
410.998847441190060.002305117619879430.00115255880993971
420.998513148128570.002973703742859270.00148685187142964
430.9979570480086850.0040859039826290.0020429519913145
440.9970708573519850.005858285296029620.00292914264801481
450.9977034506833510.004593098633298470.00229654931664924
460.9969459357515630.006108128496874280.00305406424843714
470.9965283641383370.00694327172332670.00347163586166335
480.9951283861060480.009743227787904230.00487161389395211
490.9933712994700820.01325740105983620.00662870052991808
500.9989210278282630.002157944343474790.00107897217173739
510.9998582181480830.0002835637038331260.000141781851916563
520.9998083488016130.0003833023967733180.000191651198386659
530.9997592819261940.000481436147611790.000240718073805895
540.9997139098320750.0005721803358500990.00028609016792505
550.9999150374591070.0001699250817857818.49625408928903e-05
560.9998733490915220.0002533018169550140.000126650908477507
570.9998532493827780.0002935012344442860.000146750617222143
580.9999644283218187.11433563649775e-053.55716781824887e-05
590.9999470073474570.0001059853050868365.29926525434181e-05
600.9999255649992790.000148870001442197.44350007210952e-05
610.9998937093633580.0002125812732847850.000106290636642393
620.9998927761172720.0002144477654568070.000107223882728404
630.9999037530008580.0001924939982838739.62469991419365e-05
640.9998593008522090.0002813982955819180.000140699147790959
650.9998055789280320.0003888421439364350.000194421071968217
660.9997176207518410.0005647584963180210.000282379248159011
670.9996636566756590.0006726866486818920.000336343324340946
680.9995375557568950.000924888486210050.000462444243105025
690.9993662372704050.001267525459189630.000633762729594817
700.9994225030048540.001154993990291980.000577496995145992
710.9992374989240660.001525002151867460.00076250107593373
720.9995207453160530.0009585093678931790.000479254683946589
730.9996174458121740.0007651083756524350.000382554187826217
740.9996175683695760.0007648632608479470.000382431630423974
750.999652695093630.0006946098127405580.000347304906370279
760.999588783662230.0008224326755399310.000411216337769965
770.9996921776916290.0006156446167411820.000307822308370591
780.9996058860761890.0007882278476214690.000394113923810735
790.9996042054160310.0007915891679385950.000395794583969298
800.9994464755588280.001107048882343120.000553524441171558
810.9992335538655740.001532892268852830.000766446134426417
820.9993641917966330.001271616406734610.000635808203367306
830.9995443238019190.0009113523961615230.000455676198080762
840.9995266679566350.0009466640867305760.000473332043365288
850.9994244304506690.001151139098661640.00057556954933082
860.9994367642178180.001126471564362970.000563235782181483
870.9992788300815310.001442339836938870.000721169918469437
880.9991600391288410.001679921742318860.000839960871159429
890.9998181594000540.0003636811998912130.000181840599945607
900.9997814637025280.0004370725949443860.000218536297472193
910.9998046628182660.0003906743634688860.000195337181734443
920.9997608296020950.0004783407958103890.000239170397905194
930.9997638662359560.0004722675280870870.000236133764043543
940.9996795407464650.0006409185070699920.000320459253534996
950.99960244554540.0007951089091997460.000397554454599873
960.9995136392523430.0009727214953130320.000486360747656516
970.9994684626738030.00106307465239330.000531537326196648
980.9999996715085626.5698287614888e-073.2849143807444e-07
990.9999995725309528.54938095723963e-074.27469047861982e-07
1000.9999993782149461.24357010816401e-066.21785054082007e-07
1010.9999991587954271.68240914581284e-068.4120457290642e-07
1020.9999990701229651.85975407091679e-069.29877035458397e-07
1030.9999995471998929.05600216175421e-074.52800108087711e-07
1040.9999993388427791.32231444131724e-066.6115722065862e-07
1050.9999993818749991.23625000113274e-066.18125000566372e-07
1060.999999299942531.40011494078163e-067.00057470390817e-07
1070.9999993301833581.33963328372964e-066.69816641864822e-07
1080.9999990517606041.8964787925979e-069.48239396298949e-07
1090.9999990499962661.90000746761491e-069.50003733807455e-07
1100.9999985410573882.91788522419085e-061.45894261209543e-06
1110.9999980307093523.93858129523997e-061.96929064761999e-06
1120.9999975711062624.85778747566265e-062.42889373783133e-06
1130.9999969304802876.13903942685921e-063.06951971342961e-06
1140.999995516075558.96784890085485e-064.48392445042743e-06
1150.9999948330761691.03338476620573e-055.16692383102867e-06
1160.9999952098916469.58021670881658e-064.79010835440829e-06
1170.9999945296032121.09407935761084e-055.47039678805419e-06
1180.9999976925345554.61493088910701e-062.3074654445535e-06
1190.9999965340951436.93180971425011e-063.46590485712505e-06
1200.9999960481043177.90379136628242e-063.95189568314121e-06
1210.9999941871087941.16257824116497e-055.81289120582484e-06
1220.9999976086533694.78269326177905e-062.39134663088953e-06
1230.9999973344686965.33106260778861e-062.66553130389431e-06
1240.9999992685644511.46287109882627e-067.31435549413134e-07
1250.9999999562943718.74112585817307e-084.37056292908653e-08
1260.9999999456665171.08666965185486e-075.43334825927429e-08
1270.9999999205305481.58938904889289e-077.94694524446446e-08
1280.9999998842276522.31544696983998e-071.15772348491999e-07
1290.9999998635105132.7297897497368e-071.3648948748684e-07
1300.9999997845107134.30978574451091e-072.15489287225546e-07
1310.999999668361186.63277640384245e-073.31638820192123e-07
1320.9999998162377983.67524405007619e-071.8376220250381e-07
1330.999999745911035.08177939999548e-072.54088969999774e-07
1340.9999999598520228.02959560659656e-084.01479780329828e-08
1350.9999999421737831.15652434870288e-075.78262174351442e-08
1360.9999999849693443.00613119169942e-081.50306559584971e-08
1370.999999975398124.92037608779637e-082.46018804389818e-08
1380.999999989085742.18285191989796e-081.09142595994898e-08
1390.9999999863397332.732053344761e-081.3660266723805e-08
1400.9999999792191844.15616325348908e-082.07808162674454e-08
1410.9999999779510754.40978492949722e-082.20489246474861e-08
1420.99999996609046.78191999735454e-083.39095999867727e-08
1430.9999999472145291.05570941546545e-075.27854707732726e-08
1440.999999921716341.56567319470738e-077.82836597353692e-08
1450.9999998876751672.2464966673288e-071.1232483336644e-07
1460.9999998578571052.84285789106937e-071.42142894553469e-07
1470.9999997855377214.2892455829913e-072.14462279149565e-07
1480.999999691014266.17971480303416e-073.08985740151708e-07
1490.9999996314448937.37110213470756e-073.68555106735378e-07
1500.9999994230395291.15392094148224e-065.76960470741121e-07
1510.999999342920091.31415982067119e-066.57079910335596e-07
1520.9999991683298241.66334035147241e-068.31670175736205e-07
1530.9999988640597592.27188048292354e-061.13594024146177e-06
1540.9999983012279373.39754412593719e-061.6987720629686e-06
1550.9999978509079754.29818404990225e-062.14909202495112e-06
1560.9999992881441691.42371166210088e-067.11855831050438e-07
1570.9999992281749921.54365001508605e-067.71825007543025e-07
1580.9999991552683191.68946336305634e-068.44731681528169e-07
1590.9999990489171531.90216569477645e-069.51082847388225e-07
1600.9999989841778832.03164423473554e-061.01582211736777e-06
1610.9999989914418292.01711634109973e-061.00855817054986e-06
1620.9999985327244682.93455106457622e-061.46727553228811e-06
1630.9999983836543063.23269138778402e-061.61634569389201e-06
1640.9999980884060993.82318780193053e-061.91159390096527e-06
1650.9999984544279363.09114412724148e-061.54557206362074e-06
1660.9999993195933341.36081333253107e-066.80406666265535e-07
1670.9999989585907822.08281843624731e-061.04140921812366e-06
1680.9999985041567782.99168644325085e-061.49584322162543e-06
1690.9999983159094493.36818110300002e-061.68409055150001e-06
1700.9999999893361832.13276342519639e-081.06638171259819e-08
1710.9999999822141943.5571612126163e-081.77858060630815e-08
1720.9999999743994395.1201122036394e-082.5600561018197e-08
1730.9999999571612638.56774737363163e-084.28387368681582e-08
1740.9999999832868743.34262520167082e-081.67131260083541e-08
1750.9999999997152765.69448408394982e-102.84724204197491e-10
1760.9999999995251449.49711171761847e-104.74855585880924e-10
1770.9999999996369817.26037855495249e-103.63018927747625e-10
1780.9999999993914371.21712565990079e-096.08562829950397e-10
1790.9999999989939332.01213451575314e-091.00606725787657e-09
1800.9999999995596288.80744068885729e-104.40372034442864e-10
1810.9999999994575451.08491024757919e-095.42455123789594e-10
1820.9999999999532719.34580909438078e-114.67290454719039e-11
1830.9999999999128221.74355437837993e-108.71777189189965e-11
1840.9999999999215911.56817638641353e-107.84088193206763e-11
1850.9999999999790994.18020853558967e-112.09010426779484e-11
1860.999999999962267.54800466760664e-113.77400233380332e-11
1870.9999999999336581.32684619364426e-106.63423096822129e-11
1880.9999999998780052.43990223862404e-101.21995111931202e-10
1890.9999999998197043.60591398941288e-101.80295699470644e-10
1900.9999999998016023.96795596055604e-101.98397798027802e-10
1910.9999999999799834.00341323734393e-112.00170661867197e-11
1920.9999999999612647.74713244132098e-113.87356622066049e-11
1930.9999999999365061.26987295102524e-106.34936475512622e-11
1940.9999999998770792.45841135936911e-101.22920567968456e-10
1950.9999999997754114.49177531617494e-102.24588765808747e-10
1960.9999999996283957.43209003372517e-103.71604501686258e-10
1970.9999999996162617.67478678006511e-103.83739339003255e-10
1980.9999999992999591.40008161257448e-097.00040806287238e-10
1990.9999999993237221.35255674294756e-096.76278371473782e-10
2000.9999999987819712.43605866973216e-091.21802933486608e-09
2010.9999999977625774.4748453140599e-092.23742265702995e-09
2020.9999999964483177.10336552550229e-093.55168276275114e-09
2030.9999999941088561.17822871715567e-085.89114358577833e-09
2040.9999999893304262.13391483273986e-081.06695741636993e-08
2050.9999999896080132.078397420606e-081.039198710303e-08
2060.9999999811854063.76291881311309e-081.88145940655655e-08
2070.9999999672463756.55072503073529e-083.27536251536765e-08
2080.9999999945520681.08958637897302e-085.44793189486512e-09
2090.999999996839526.32095924208737e-093.16047962104368e-09
2100.9999999943652941.12694125412619e-085.63470627063095e-09
2110.9999999918985391.62029225726618e-088.10146128633089e-09
2120.9999999968644886.27102402949386e-093.13551201474693e-09
2130.9999999939040981.21918037385192e-086.09590186925961e-09
2140.9999999882534472.34931055104236e-081.17465527552118e-08
2150.9999999873393152.53213693724155e-081.26606846862077e-08
2160.9999999857270682.85458637921734e-081.42729318960867e-08
2170.9999999935589421.28821160414229e-086.44105802071144e-09
2180.9999999873874832.52250336620008e-081.26125168310004e-08
2190.9999999777739474.4452105312986e-082.2226052656493e-08
2200.9999999761952714.76094578295719e-082.3804728914786e-08
2210.9999999629738487.40523046272727e-083.70261523136363e-08
2220.9999999292426021.4151479546714e-077.07573977335701e-08
2230.9999999778594014.42811974739639e-082.2140598736982e-08
2240.9999999598954858.02090305001404e-084.01045152500702e-08
2250.999999923637961.52724080603765e-077.63620403018824e-08
2260.9999998602450232.79509954928663e-071.39754977464331e-07
2270.9999998559307512.88138497719006e-071.44069248859503e-07
2280.999999895290522.09418959846793e-071.04709479923397e-07
2290.9999998515240812.9695183779921e-071.48475918899605e-07
2300.9999999576031158.47937694318141e-084.23968847159071e-08
2310.999999957280648.54387197720874e-084.27193598860437e-08
2320.9999999128075171.74384966877176e-078.7192483438588e-08
2330.999999968348696.3302619375289e-083.16513096876445e-08
2340.9999999344577711.31084458307953e-076.55422291539767e-08
2350.9999999308015091.38396981470861e-076.91984907354304e-08
2360.9999998732744432.53451114453641e-071.2672555722682e-07
2370.9999999989455642.10887252493419e-091.0544362624671e-09
2380.9999999977507494.49850106401831e-092.24925053200916e-09
2390.9999999959405178.11896550175373e-094.05948275087686e-09
2400.999999997498945.00211956990465e-092.50105978495232e-09
2410.999999997087915.82418072217385e-092.91209036108692e-09
2420.9999999930993821.38012368403881e-086.90061842019403e-09
2430.9999999915378921.69242165554244e-088.46210827771218e-09
2440.999999985685642.86287192468972e-081.43143596234486e-08
2450.9999999679074666.41850677571382e-083.20925338785691e-08
2460.9999999234248211.53150358686777e-077.65751793433887e-08
2470.9999998826564132.34687174214656e-071.17343587107328e-07
2480.9999998376139823.24772036894141e-071.6238601844707e-07
2490.9999996194203267.61159347298339e-073.80579673649169e-07
2500.9999993316610931.33667781304358e-066.68338906521788e-07
2510.9999992268118581.54637628379781e-067.73188141898907e-07
2520.9999984170390973.16592180643627e-061.58296090321814e-06
2530.9999963792761297.24144774244315e-063.62072387122158e-06
2540.9999918215400511.63569198981384e-058.17845994906918e-06
2550.9999923739005081.52521989830688e-057.62609949153442e-06
2560.9999845472063423.09055873151833e-051.54527936575917e-05
2570.9999822175529193.55648941611056e-051.77824470805528e-05
2580.9999711112471125.77775057761396e-052.88887528880698e-05
2590.9999516098699689.67802600644633e-054.83901300322316e-05
2600.9998919316845440.0002161366309121160.000108068315456058
2610.9997894254929980.0004211490140043030.000210574507002151
2620.9995571650011190.0008856699977614710.000442834998880735
2630.9990699095390670.001860180921865690.000930090460932846
2640.9981967740354820.003606451929036950.00180322596451847
2650.9987097216338380.002580556732323580.00129027836616179
2660.9977577809209590.004484438158081050.00224221907904052
2670.998885950262920.002228099474159250.00111404973707963
2680.9979863922805420.004027215438916930.00201360771945846
2690.9999943027848271.13944303467461e-055.69721517337304e-06
2700.9999889243714132.21512571736988e-051.10756285868494e-05
2710.9999620831583767.58336832483449e-053.79168416241725e-05
2720.9998755600664860.0002488798670288350.000124439933514417
2730.9996933706644820.0006132586710368150.000306629335518408
2740.99899227971010.002015440579799360.00100772028989968
2750.997462311302670.005075377394660320.00253768869733016
2760.9903240826777110.0193518346445780.00967591732228898
2770.9845506823431150.03089863531376970.0154493176568849

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
12 & 0.973269212845357 & 0.0534615743092854 & 0.0267307871546427 \tabularnewline
13 & 0.982412112873294 & 0.0351757742534124 & 0.0175878871267062 \tabularnewline
14 & 0.964516512953329 & 0.0709669740933429 & 0.0354834870466714 \tabularnewline
15 & 0.948640396003829 & 0.102719207992342 & 0.0513596039961711 \tabularnewline
16 & 0.917024017682964 & 0.165951964634071 & 0.0829759823170355 \tabularnewline
17 & 0.943289179885329 & 0.113421640229342 & 0.056710820114671 \tabularnewline
18 & 0.918519524320095 & 0.162960951359811 & 0.0814804756799054 \tabularnewline
19 & 0.902220199039609 & 0.195559601920782 & 0.0977798009603911 \tabularnewline
20 & 0.937611343619443 & 0.124777312761115 & 0.0623886563805573 \tabularnewline
21 & 0.916063654995062 & 0.167872690009876 & 0.0839363450049379 \tabularnewline
22 & 0.887668673700007 & 0.224662652599985 & 0.112331326299993 \tabularnewline
23 & 0.997559746612959 & 0.00488050677408136 & 0.00244025338704068 \tabularnewline
24 & 0.996396108714502 & 0.00720778257099589 & 0.00360389128549794 \tabularnewline
25 & 0.995865693066179 & 0.00826861386764273 & 0.00413430693382136 \tabularnewline
26 & 0.999273604360757 & 0.00145279127848556 & 0.000726395639242782 \tabularnewline
27 & 0.999626152114608 & 0.0007476957707834 & 0.0003738478853917 \tabularnewline
28 & 0.999382478029395 & 0.00123504394120992 & 0.00061752197060496 \tabularnewline
29 & 0.999329667789406 & 0.00134066442118834 & 0.000670332210594171 \tabularnewline
30 & 0.999218195744392 & 0.00156360851121645 & 0.000781804255608226 \tabularnewline
31 & 0.999185541780202 & 0.00162891643959613 & 0.000814458219798063 \tabularnewline
32 & 0.998703753236005 & 0.00259249352798991 & 0.00129624676399495 \tabularnewline
33 & 0.998065589787758 & 0.00386882042448468 & 0.00193441021224234 \tabularnewline
34 & 0.998031052772122 & 0.00393789445575564 & 0.00196894722787782 \tabularnewline
35 & 0.998082842617927 & 0.00383431476414544 & 0.00191715738207272 \tabularnewline
36 & 0.997621264238601 & 0.00475747152279739 & 0.00237873576139869 \tabularnewline
37 & 0.996866722135624 & 0.00626655572875106 & 0.00313327786437553 \tabularnewline
38 & 0.995482261883878 & 0.0090354762322441 & 0.00451773811612205 \tabularnewline
39 & 0.999014542493614 & 0.00197091501277271 & 0.000985457506386357 \tabularnewline
40 & 0.999181099234345 & 0.00163780153130979 & 0.000818900765654897 \tabularnewline
41 & 0.99884744119006 & 0.00230511761987943 & 0.00115255880993971 \tabularnewline
42 & 0.99851314812857 & 0.00297370374285927 & 0.00148685187142964 \tabularnewline
43 & 0.997957048008685 & 0.004085903982629 & 0.0020429519913145 \tabularnewline
44 & 0.997070857351985 & 0.00585828529602962 & 0.00292914264801481 \tabularnewline
45 & 0.997703450683351 & 0.00459309863329847 & 0.00229654931664924 \tabularnewline
46 & 0.996945935751563 & 0.00610812849687428 & 0.00305406424843714 \tabularnewline
47 & 0.996528364138337 & 0.0069432717233267 & 0.00347163586166335 \tabularnewline
48 & 0.995128386106048 & 0.00974322778790423 & 0.00487161389395211 \tabularnewline
49 & 0.993371299470082 & 0.0132574010598362 & 0.00662870052991808 \tabularnewline
50 & 0.998921027828263 & 0.00215794434347479 & 0.00107897217173739 \tabularnewline
51 & 0.999858218148083 & 0.000283563703833126 & 0.000141781851916563 \tabularnewline
52 & 0.999808348801613 & 0.000383302396773318 & 0.000191651198386659 \tabularnewline
53 & 0.999759281926194 & 0.00048143614761179 & 0.000240718073805895 \tabularnewline
54 & 0.999713909832075 & 0.000572180335850099 & 0.00028609016792505 \tabularnewline
55 & 0.999915037459107 & 0.000169925081785781 & 8.49625408928903e-05 \tabularnewline
56 & 0.999873349091522 & 0.000253301816955014 & 0.000126650908477507 \tabularnewline
57 & 0.999853249382778 & 0.000293501234444286 & 0.000146750617222143 \tabularnewline
58 & 0.999964428321818 & 7.11433563649775e-05 & 3.55716781824887e-05 \tabularnewline
59 & 0.999947007347457 & 0.000105985305086836 & 5.29926525434181e-05 \tabularnewline
60 & 0.999925564999279 & 0.00014887000144219 & 7.44350007210952e-05 \tabularnewline
61 & 0.999893709363358 & 0.000212581273284785 & 0.000106290636642393 \tabularnewline
62 & 0.999892776117272 & 0.000214447765456807 & 0.000107223882728404 \tabularnewline
63 & 0.999903753000858 & 0.000192493998283873 & 9.62469991419365e-05 \tabularnewline
64 & 0.999859300852209 & 0.000281398295581918 & 0.000140699147790959 \tabularnewline
65 & 0.999805578928032 & 0.000388842143936435 & 0.000194421071968217 \tabularnewline
66 & 0.999717620751841 & 0.000564758496318021 & 0.000282379248159011 \tabularnewline
67 & 0.999663656675659 & 0.000672686648681892 & 0.000336343324340946 \tabularnewline
68 & 0.999537555756895 & 0.00092488848621005 & 0.000462444243105025 \tabularnewline
69 & 0.999366237270405 & 0.00126752545918963 & 0.000633762729594817 \tabularnewline
70 & 0.999422503004854 & 0.00115499399029198 & 0.000577496995145992 \tabularnewline
71 & 0.999237498924066 & 0.00152500215186746 & 0.00076250107593373 \tabularnewline
72 & 0.999520745316053 & 0.000958509367893179 & 0.000479254683946589 \tabularnewline
73 & 0.999617445812174 & 0.000765108375652435 & 0.000382554187826217 \tabularnewline
74 & 0.999617568369576 & 0.000764863260847947 & 0.000382431630423974 \tabularnewline
75 & 0.99965269509363 & 0.000694609812740558 & 0.000347304906370279 \tabularnewline
76 & 0.99958878366223 & 0.000822432675539931 & 0.000411216337769965 \tabularnewline
77 & 0.999692177691629 & 0.000615644616741182 & 0.000307822308370591 \tabularnewline
78 & 0.999605886076189 & 0.000788227847621469 & 0.000394113923810735 \tabularnewline
79 & 0.999604205416031 & 0.000791589167938595 & 0.000395794583969298 \tabularnewline
80 & 0.999446475558828 & 0.00110704888234312 & 0.000553524441171558 \tabularnewline
81 & 0.999233553865574 & 0.00153289226885283 & 0.000766446134426417 \tabularnewline
82 & 0.999364191796633 & 0.00127161640673461 & 0.000635808203367306 \tabularnewline
83 & 0.999544323801919 & 0.000911352396161523 & 0.000455676198080762 \tabularnewline
84 & 0.999526667956635 & 0.000946664086730576 & 0.000473332043365288 \tabularnewline
85 & 0.999424430450669 & 0.00115113909866164 & 0.00057556954933082 \tabularnewline
86 & 0.999436764217818 & 0.00112647156436297 & 0.000563235782181483 \tabularnewline
87 & 0.999278830081531 & 0.00144233983693887 & 0.000721169918469437 \tabularnewline
88 & 0.999160039128841 & 0.00167992174231886 & 0.000839960871159429 \tabularnewline
89 & 0.999818159400054 & 0.000363681199891213 & 0.000181840599945607 \tabularnewline
90 & 0.999781463702528 & 0.000437072594944386 & 0.000218536297472193 \tabularnewline
91 & 0.999804662818266 & 0.000390674363468886 & 0.000195337181734443 \tabularnewline
92 & 0.999760829602095 & 0.000478340795810389 & 0.000239170397905194 \tabularnewline
93 & 0.999763866235956 & 0.000472267528087087 & 0.000236133764043543 \tabularnewline
94 & 0.999679540746465 & 0.000640918507069992 & 0.000320459253534996 \tabularnewline
95 & 0.9996024455454 & 0.000795108909199746 & 0.000397554454599873 \tabularnewline
96 & 0.999513639252343 & 0.000972721495313032 & 0.000486360747656516 \tabularnewline
97 & 0.999468462673803 & 0.0010630746523933 & 0.000531537326196648 \tabularnewline
98 & 0.999999671508562 & 6.5698287614888e-07 & 3.2849143807444e-07 \tabularnewline
99 & 0.999999572530952 & 8.54938095723963e-07 & 4.27469047861982e-07 \tabularnewline
100 & 0.999999378214946 & 1.24357010816401e-06 & 6.21785054082007e-07 \tabularnewline
101 & 0.999999158795427 & 1.68240914581284e-06 & 8.4120457290642e-07 \tabularnewline
102 & 0.999999070122965 & 1.85975407091679e-06 & 9.29877035458397e-07 \tabularnewline
103 & 0.999999547199892 & 9.05600216175421e-07 & 4.52800108087711e-07 \tabularnewline
104 & 0.999999338842779 & 1.32231444131724e-06 & 6.6115722065862e-07 \tabularnewline
105 & 0.999999381874999 & 1.23625000113274e-06 & 6.18125000566372e-07 \tabularnewline
106 & 0.99999929994253 & 1.40011494078163e-06 & 7.00057470390817e-07 \tabularnewline
107 & 0.999999330183358 & 1.33963328372964e-06 & 6.69816641864822e-07 \tabularnewline
108 & 0.999999051760604 & 1.8964787925979e-06 & 9.48239396298949e-07 \tabularnewline
109 & 0.999999049996266 & 1.90000746761491e-06 & 9.50003733807455e-07 \tabularnewline
110 & 0.999998541057388 & 2.91788522419085e-06 & 1.45894261209543e-06 \tabularnewline
111 & 0.999998030709352 & 3.93858129523997e-06 & 1.96929064761999e-06 \tabularnewline
112 & 0.999997571106262 & 4.85778747566265e-06 & 2.42889373783133e-06 \tabularnewline
113 & 0.999996930480287 & 6.13903942685921e-06 & 3.06951971342961e-06 \tabularnewline
114 & 0.99999551607555 & 8.96784890085485e-06 & 4.48392445042743e-06 \tabularnewline
115 & 0.999994833076169 & 1.03338476620573e-05 & 5.16692383102867e-06 \tabularnewline
116 & 0.999995209891646 & 9.58021670881658e-06 & 4.79010835440829e-06 \tabularnewline
117 & 0.999994529603212 & 1.09407935761084e-05 & 5.47039678805419e-06 \tabularnewline
118 & 0.999997692534555 & 4.61493088910701e-06 & 2.3074654445535e-06 \tabularnewline
119 & 0.999996534095143 & 6.93180971425011e-06 & 3.46590485712505e-06 \tabularnewline
120 & 0.999996048104317 & 7.90379136628242e-06 & 3.95189568314121e-06 \tabularnewline
121 & 0.999994187108794 & 1.16257824116497e-05 & 5.81289120582484e-06 \tabularnewline
122 & 0.999997608653369 & 4.78269326177905e-06 & 2.39134663088953e-06 \tabularnewline
123 & 0.999997334468696 & 5.33106260778861e-06 & 2.66553130389431e-06 \tabularnewline
124 & 0.999999268564451 & 1.46287109882627e-06 & 7.31435549413134e-07 \tabularnewline
125 & 0.999999956294371 & 8.74112585817307e-08 & 4.37056292908653e-08 \tabularnewline
126 & 0.999999945666517 & 1.08666965185486e-07 & 5.43334825927429e-08 \tabularnewline
127 & 0.999999920530548 & 1.58938904889289e-07 & 7.94694524446446e-08 \tabularnewline
128 & 0.999999884227652 & 2.31544696983998e-07 & 1.15772348491999e-07 \tabularnewline
129 & 0.999999863510513 & 2.7297897497368e-07 & 1.3648948748684e-07 \tabularnewline
130 & 0.999999784510713 & 4.30978574451091e-07 & 2.15489287225546e-07 \tabularnewline
131 & 0.99999966836118 & 6.63277640384245e-07 & 3.31638820192123e-07 \tabularnewline
132 & 0.999999816237798 & 3.67524405007619e-07 & 1.8376220250381e-07 \tabularnewline
133 & 0.99999974591103 & 5.08177939999548e-07 & 2.54088969999774e-07 \tabularnewline
134 & 0.999999959852022 & 8.02959560659656e-08 & 4.01479780329828e-08 \tabularnewline
135 & 0.999999942173783 & 1.15652434870288e-07 & 5.78262174351442e-08 \tabularnewline
136 & 0.999999984969344 & 3.00613119169942e-08 & 1.50306559584971e-08 \tabularnewline
137 & 0.99999997539812 & 4.92037608779637e-08 & 2.46018804389818e-08 \tabularnewline
138 & 0.99999998908574 & 2.18285191989796e-08 & 1.09142595994898e-08 \tabularnewline
139 & 0.999999986339733 & 2.732053344761e-08 & 1.3660266723805e-08 \tabularnewline
140 & 0.999999979219184 & 4.15616325348908e-08 & 2.07808162674454e-08 \tabularnewline
141 & 0.999999977951075 & 4.40978492949722e-08 & 2.20489246474861e-08 \tabularnewline
142 & 0.9999999660904 & 6.78191999735454e-08 & 3.39095999867727e-08 \tabularnewline
143 & 0.999999947214529 & 1.05570941546545e-07 & 5.27854707732726e-08 \tabularnewline
144 & 0.99999992171634 & 1.56567319470738e-07 & 7.82836597353692e-08 \tabularnewline
145 & 0.999999887675167 & 2.2464966673288e-07 & 1.1232483336644e-07 \tabularnewline
146 & 0.999999857857105 & 2.84285789106937e-07 & 1.42142894553469e-07 \tabularnewline
147 & 0.999999785537721 & 4.2892455829913e-07 & 2.14462279149565e-07 \tabularnewline
148 & 0.99999969101426 & 6.17971480303416e-07 & 3.08985740151708e-07 \tabularnewline
149 & 0.999999631444893 & 7.37110213470756e-07 & 3.68555106735378e-07 \tabularnewline
150 & 0.999999423039529 & 1.15392094148224e-06 & 5.76960470741121e-07 \tabularnewline
151 & 0.99999934292009 & 1.31415982067119e-06 & 6.57079910335596e-07 \tabularnewline
152 & 0.999999168329824 & 1.66334035147241e-06 & 8.31670175736205e-07 \tabularnewline
153 & 0.999998864059759 & 2.27188048292354e-06 & 1.13594024146177e-06 \tabularnewline
154 & 0.999998301227937 & 3.39754412593719e-06 & 1.6987720629686e-06 \tabularnewline
155 & 0.999997850907975 & 4.29818404990225e-06 & 2.14909202495112e-06 \tabularnewline
156 & 0.999999288144169 & 1.42371166210088e-06 & 7.11855831050438e-07 \tabularnewline
157 & 0.999999228174992 & 1.54365001508605e-06 & 7.71825007543025e-07 \tabularnewline
158 & 0.999999155268319 & 1.68946336305634e-06 & 8.44731681528169e-07 \tabularnewline
159 & 0.999999048917153 & 1.90216569477645e-06 & 9.51082847388225e-07 \tabularnewline
160 & 0.999998984177883 & 2.03164423473554e-06 & 1.01582211736777e-06 \tabularnewline
161 & 0.999998991441829 & 2.01711634109973e-06 & 1.00855817054986e-06 \tabularnewline
162 & 0.999998532724468 & 2.93455106457622e-06 & 1.46727553228811e-06 \tabularnewline
163 & 0.999998383654306 & 3.23269138778402e-06 & 1.61634569389201e-06 \tabularnewline
164 & 0.999998088406099 & 3.82318780193053e-06 & 1.91159390096527e-06 \tabularnewline
165 & 0.999998454427936 & 3.09114412724148e-06 & 1.54557206362074e-06 \tabularnewline
166 & 0.999999319593334 & 1.36081333253107e-06 & 6.80406666265535e-07 \tabularnewline
167 & 0.999998958590782 & 2.08281843624731e-06 & 1.04140921812366e-06 \tabularnewline
168 & 0.999998504156778 & 2.99168644325085e-06 & 1.49584322162543e-06 \tabularnewline
169 & 0.999998315909449 & 3.36818110300002e-06 & 1.68409055150001e-06 \tabularnewline
170 & 0.999999989336183 & 2.13276342519639e-08 & 1.06638171259819e-08 \tabularnewline
171 & 0.999999982214194 & 3.5571612126163e-08 & 1.77858060630815e-08 \tabularnewline
172 & 0.999999974399439 & 5.1201122036394e-08 & 2.5600561018197e-08 \tabularnewline
173 & 0.999999957161263 & 8.56774737363163e-08 & 4.28387368681582e-08 \tabularnewline
174 & 0.999999983286874 & 3.34262520167082e-08 & 1.67131260083541e-08 \tabularnewline
175 & 0.999999999715276 & 5.69448408394982e-10 & 2.84724204197491e-10 \tabularnewline
176 & 0.999999999525144 & 9.49711171761847e-10 & 4.74855585880924e-10 \tabularnewline
177 & 0.999999999636981 & 7.26037855495249e-10 & 3.63018927747625e-10 \tabularnewline
178 & 0.999999999391437 & 1.21712565990079e-09 & 6.08562829950397e-10 \tabularnewline
179 & 0.999999998993933 & 2.01213451575314e-09 & 1.00606725787657e-09 \tabularnewline
180 & 0.999999999559628 & 8.80744068885729e-10 & 4.40372034442864e-10 \tabularnewline
181 & 0.999999999457545 & 1.08491024757919e-09 & 5.42455123789594e-10 \tabularnewline
182 & 0.999999999953271 & 9.34580909438078e-11 & 4.67290454719039e-11 \tabularnewline
183 & 0.999999999912822 & 1.74355437837993e-10 & 8.71777189189965e-11 \tabularnewline
184 & 0.999999999921591 & 1.56817638641353e-10 & 7.84088193206763e-11 \tabularnewline
185 & 0.999999999979099 & 4.18020853558967e-11 & 2.09010426779484e-11 \tabularnewline
186 & 0.99999999996226 & 7.54800466760664e-11 & 3.77400233380332e-11 \tabularnewline
187 & 0.999999999933658 & 1.32684619364426e-10 & 6.63423096822129e-11 \tabularnewline
188 & 0.999999999878005 & 2.43990223862404e-10 & 1.21995111931202e-10 \tabularnewline
189 & 0.999999999819704 & 3.60591398941288e-10 & 1.80295699470644e-10 \tabularnewline
190 & 0.999999999801602 & 3.96795596055604e-10 & 1.98397798027802e-10 \tabularnewline
191 & 0.999999999979983 & 4.00341323734393e-11 & 2.00170661867197e-11 \tabularnewline
192 & 0.999999999961264 & 7.74713244132098e-11 & 3.87356622066049e-11 \tabularnewline
193 & 0.999999999936506 & 1.26987295102524e-10 & 6.34936475512622e-11 \tabularnewline
194 & 0.999999999877079 & 2.45841135936911e-10 & 1.22920567968456e-10 \tabularnewline
195 & 0.999999999775411 & 4.49177531617494e-10 & 2.24588765808747e-10 \tabularnewline
196 & 0.999999999628395 & 7.43209003372517e-10 & 3.71604501686258e-10 \tabularnewline
197 & 0.999999999616261 & 7.67478678006511e-10 & 3.83739339003255e-10 \tabularnewline
198 & 0.999999999299959 & 1.40008161257448e-09 & 7.00040806287238e-10 \tabularnewline
199 & 0.999999999323722 & 1.35255674294756e-09 & 6.76278371473782e-10 \tabularnewline
200 & 0.999999998781971 & 2.43605866973216e-09 & 1.21802933486608e-09 \tabularnewline
201 & 0.999999997762577 & 4.4748453140599e-09 & 2.23742265702995e-09 \tabularnewline
202 & 0.999999996448317 & 7.10336552550229e-09 & 3.55168276275114e-09 \tabularnewline
203 & 0.999999994108856 & 1.17822871715567e-08 & 5.89114358577833e-09 \tabularnewline
204 & 0.999999989330426 & 2.13391483273986e-08 & 1.06695741636993e-08 \tabularnewline
205 & 0.999999989608013 & 2.078397420606e-08 & 1.039198710303e-08 \tabularnewline
206 & 0.999999981185406 & 3.76291881311309e-08 & 1.88145940655655e-08 \tabularnewline
207 & 0.999999967246375 & 6.55072503073529e-08 & 3.27536251536765e-08 \tabularnewline
208 & 0.999999994552068 & 1.08958637897302e-08 & 5.44793189486512e-09 \tabularnewline
209 & 0.99999999683952 & 6.32095924208737e-09 & 3.16047962104368e-09 \tabularnewline
210 & 0.999999994365294 & 1.12694125412619e-08 & 5.63470627063095e-09 \tabularnewline
211 & 0.999999991898539 & 1.62029225726618e-08 & 8.10146128633089e-09 \tabularnewline
212 & 0.999999996864488 & 6.27102402949386e-09 & 3.13551201474693e-09 \tabularnewline
213 & 0.999999993904098 & 1.21918037385192e-08 & 6.09590186925961e-09 \tabularnewline
214 & 0.999999988253447 & 2.34931055104236e-08 & 1.17465527552118e-08 \tabularnewline
215 & 0.999999987339315 & 2.53213693724155e-08 & 1.26606846862077e-08 \tabularnewline
216 & 0.999999985727068 & 2.85458637921734e-08 & 1.42729318960867e-08 \tabularnewline
217 & 0.999999993558942 & 1.28821160414229e-08 & 6.44105802071144e-09 \tabularnewline
218 & 0.999999987387483 & 2.52250336620008e-08 & 1.26125168310004e-08 \tabularnewline
219 & 0.999999977773947 & 4.4452105312986e-08 & 2.2226052656493e-08 \tabularnewline
220 & 0.999999976195271 & 4.76094578295719e-08 & 2.3804728914786e-08 \tabularnewline
221 & 0.999999962973848 & 7.40523046272727e-08 & 3.70261523136363e-08 \tabularnewline
222 & 0.999999929242602 & 1.4151479546714e-07 & 7.07573977335701e-08 \tabularnewline
223 & 0.999999977859401 & 4.42811974739639e-08 & 2.2140598736982e-08 \tabularnewline
224 & 0.999999959895485 & 8.02090305001404e-08 & 4.01045152500702e-08 \tabularnewline
225 & 0.99999992363796 & 1.52724080603765e-07 & 7.63620403018824e-08 \tabularnewline
226 & 0.999999860245023 & 2.79509954928663e-07 & 1.39754977464331e-07 \tabularnewline
227 & 0.999999855930751 & 2.88138497719006e-07 & 1.44069248859503e-07 \tabularnewline
228 & 0.99999989529052 & 2.09418959846793e-07 & 1.04709479923397e-07 \tabularnewline
229 & 0.999999851524081 & 2.9695183779921e-07 & 1.48475918899605e-07 \tabularnewline
230 & 0.999999957603115 & 8.47937694318141e-08 & 4.23968847159071e-08 \tabularnewline
231 & 0.99999995728064 & 8.54387197720874e-08 & 4.27193598860437e-08 \tabularnewline
232 & 0.999999912807517 & 1.74384966877176e-07 & 8.7192483438588e-08 \tabularnewline
233 & 0.99999996834869 & 6.3302619375289e-08 & 3.16513096876445e-08 \tabularnewline
234 & 0.999999934457771 & 1.31084458307953e-07 & 6.55422291539767e-08 \tabularnewline
235 & 0.999999930801509 & 1.38396981470861e-07 & 6.91984907354304e-08 \tabularnewline
236 & 0.999999873274443 & 2.53451114453641e-07 & 1.2672555722682e-07 \tabularnewline
237 & 0.999999998945564 & 2.10887252493419e-09 & 1.0544362624671e-09 \tabularnewline
238 & 0.999999997750749 & 4.49850106401831e-09 & 2.24925053200916e-09 \tabularnewline
239 & 0.999999995940517 & 8.11896550175373e-09 & 4.05948275087686e-09 \tabularnewline
240 & 0.99999999749894 & 5.00211956990465e-09 & 2.50105978495232e-09 \tabularnewline
241 & 0.99999999708791 & 5.82418072217385e-09 & 2.91209036108692e-09 \tabularnewline
242 & 0.999999993099382 & 1.38012368403881e-08 & 6.90061842019403e-09 \tabularnewline
243 & 0.999999991537892 & 1.69242165554244e-08 & 8.46210827771218e-09 \tabularnewline
244 & 0.99999998568564 & 2.86287192468972e-08 & 1.43143596234486e-08 \tabularnewline
245 & 0.999999967907466 & 6.41850677571382e-08 & 3.20925338785691e-08 \tabularnewline
246 & 0.999999923424821 & 1.53150358686777e-07 & 7.65751793433887e-08 \tabularnewline
247 & 0.999999882656413 & 2.34687174214656e-07 & 1.17343587107328e-07 \tabularnewline
248 & 0.999999837613982 & 3.24772036894141e-07 & 1.6238601844707e-07 \tabularnewline
249 & 0.999999619420326 & 7.61159347298339e-07 & 3.80579673649169e-07 \tabularnewline
250 & 0.999999331661093 & 1.33667781304358e-06 & 6.68338906521788e-07 \tabularnewline
251 & 0.999999226811858 & 1.54637628379781e-06 & 7.73188141898907e-07 \tabularnewline
252 & 0.999998417039097 & 3.16592180643627e-06 & 1.58296090321814e-06 \tabularnewline
253 & 0.999996379276129 & 7.24144774244315e-06 & 3.62072387122158e-06 \tabularnewline
254 & 0.999991821540051 & 1.63569198981384e-05 & 8.17845994906918e-06 \tabularnewline
255 & 0.999992373900508 & 1.52521989830688e-05 & 7.62609949153442e-06 \tabularnewline
256 & 0.999984547206342 & 3.09055873151833e-05 & 1.54527936575917e-05 \tabularnewline
257 & 0.999982217552919 & 3.55648941611056e-05 & 1.77824470805528e-05 \tabularnewline
258 & 0.999971111247112 & 5.77775057761396e-05 & 2.88887528880698e-05 \tabularnewline
259 & 0.999951609869968 & 9.67802600644633e-05 & 4.83901300322316e-05 \tabularnewline
260 & 0.999891931684544 & 0.000216136630912116 & 0.000108068315456058 \tabularnewline
261 & 0.999789425492998 & 0.000421149014004303 & 0.000210574507002151 \tabularnewline
262 & 0.999557165001119 & 0.000885669997761471 & 0.000442834998880735 \tabularnewline
263 & 0.999069909539067 & 0.00186018092186569 & 0.000930090460932846 \tabularnewline
264 & 0.998196774035482 & 0.00360645192903695 & 0.00180322596451847 \tabularnewline
265 & 0.998709721633838 & 0.00258055673232358 & 0.00129027836616179 \tabularnewline
266 & 0.997757780920959 & 0.00448443815808105 & 0.00224221907904052 \tabularnewline
267 & 0.99888595026292 & 0.00222809947415925 & 0.00111404973707963 \tabularnewline
268 & 0.997986392280542 & 0.00402721543891693 & 0.00201360771945846 \tabularnewline
269 & 0.999994302784827 & 1.13944303467461e-05 & 5.69721517337304e-06 \tabularnewline
270 & 0.999988924371413 & 2.21512571736988e-05 & 1.10756285868494e-05 \tabularnewline
271 & 0.999962083158376 & 7.58336832483449e-05 & 3.79168416241725e-05 \tabularnewline
272 & 0.999875560066486 & 0.000248879867028835 & 0.000124439933514417 \tabularnewline
273 & 0.999693370664482 & 0.000613258671036815 & 0.000306629335518408 \tabularnewline
274 & 0.9989922797101 & 0.00201544057979936 & 0.00100772028989968 \tabularnewline
275 & 0.99746231130267 & 0.00507537739466032 & 0.00253768869733016 \tabularnewline
276 & 0.990324082677711 & 0.019351834644578 & 0.00967591732228898 \tabularnewline
277 & 0.984550682343115 & 0.0308986353137697 & 0.0154493176568849 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201504&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]0.973269212845357[/C][C]0.0534615743092854[/C][C]0.0267307871546427[/C][/ROW]
[ROW][C]13[/C][C]0.982412112873294[/C][C]0.0351757742534124[/C][C]0.0175878871267062[/C][/ROW]
[ROW][C]14[/C][C]0.964516512953329[/C][C]0.0709669740933429[/C][C]0.0354834870466714[/C][/ROW]
[ROW][C]15[/C][C]0.948640396003829[/C][C]0.102719207992342[/C][C]0.0513596039961711[/C][/ROW]
[ROW][C]16[/C][C]0.917024017682964[/C][C]0.165951964634071[/C][C]0.0829759823170355[/C][/ROW]
[ROW][C]17[/C][C]0.943289179885329[/C][C]0.113421640229342[/C][C]0.056710820114671[/C][/ROW]
[ROW][C]18[/C][C]0.918519524320095[/C][C]0.162960951359811[/C][C]0.0814804756799054[/C][/ROW]
[ROW][C]19[/C][C]0.902220199039609[/C][C]0.195559601920782[/C][C]0.0977798009603911[/C][/ROW]
[ROW][C]20[/C][C]0.937611343619443[/C][C]0.124777312761115[/C][C]0.0623886563805573[/C][/ROW]
[ROW][C]21[/C][C]0.916063654995062[/C][C]0.167872690009876[/C][C]0.0839363450049379[/C][/ROW]
[ROW][C]22[/C][C]0.887668673700007[/C][C]0.224662652599985[/C][C]0.112331326299993[/C][/ROW]
[ROW][C]23[/C][C]0.997559746612959[/C][C]0.00488050677408136[/C][C]0.00244025338704068[/C][/ROW]
[ROW][C]24[/C][C]0.996396108714502[/C][C]0.00720778257099589[/C][C]0.00360389128549794[/C][/ROW]
[ROW][C]25[/C][C]0.995865693066179[/C][C]0.00826861386764273[/C][C]0.00413430693382136[/C][/ROW]
[ROW][C]26[/C][C]0.999273604360757[/C][C]0.00145279127848556[/C][C]0.000726395639242782[/C][/ROW]
[ROW][C]27[/C][C]0.999626152114608[/C][C]0.0007476957707834[/C][C]0.0003738478853917[/C][/ROW]
[ROW][C]28[/C][C]0.999382478029395[/C][C]0.00123504394120992[/C][C]0.00061752197060496[/C][/ROW]
[ROW][C]29[/C][C]0.999329667789406[/C][C]0.00134066442118834[/C][C]0.000670332210594171[/C][/ROW]
[ROW][C]30[/C][C]0.999218195744392[/C][C]0.00156360851121645[/C][C]0.000781804255608226[/C][/ROW]
[ROW][C]31[/C][C]0.999185541780202[/C][C]0.00162891643959613[/C][C]0.000814458219798063[/C][/ROW]
[ROW][C]32[/C][C]0.998703753236005[/C][C]0.00259249352798991[/C][C]0.00129624676399495[/C][/ROW]
[ROW][C]33[/C][C]0.998065589787758[/C][C]0.00386882042448468[/C][C]0.00193441021224234[/C][/ROW]
[ROW][C]34[/C][C]0.998031052772122[/C][C]0.00393789445575564[/C][C]0.00196894722787782[/C][/ROW]
[ROW][C]35[/C][C]0.998082842617927[/C][C]0.00383431476414544[/C][C]0.00191715738207272[/C][/ROW]
[ROW][C]36[/C][C]0.997621264238601[/C][C]0.00475747152279739[/C][C]0.00237873576139869[/C][/ROW]
[ROW][C]37[/C][C]0.996866722135624[/C][C]0.00626655572875106[/C][C]0.00313327786437553[/C][/ROW]
[ROW][C]38[/C][C]0.995482261883878[/C][C]0.0090354762322441[/C][C]0.00451773811612205[/C][/ROW]
[ROW][C]39[/C][C]0.999014542493614[/C][C]0.00197091501277271[/C][C]0.000985457506386357[/C][/ROW]
[ROW][C]40[/C][C]0.999181099234345[/C][C]0.00163780153130979[/C][C]0.000818900765654897[/C][/ROW]
[ROW][C]41[/C][C]0.99884744119006[/C][C]0.00230511761987943[/C][C]0.00115255880993971[/C][/ROW]
[ROW][C]42[/C][C]0.99851314812857[/C][C]0.00297370374285927[/C][C]0.00148685187142964[/C][/ROW]
[ROW][C]43[/C][C]0.997957048008685[/C][C]0.004085903982629[/C][C]0.0020429519913145[/C][/ROW]
[ROW][C]44[/C][C]0.997070857351985[/C][C]0.00585828529602962[/C][C]0.00292914264801481[/C][/ROW]
[ROW][C]45[/C][C]0.997703450683351[/C][C]0.00459309863329847[/C][C]0.00229654931664924[/C][/ROW]
[ROW][C]46[/C][C]0.996945935751563[/C][C]0.00610812849687428[/C][C]0.00305406424843714[/C][/ROW]
[ROW][C]47[/C][C]0.996528364138337[/C][C]0.0069432717233267[/C][C]0.00347163586166335[/C][/ROW]
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[ROW][C]50[/C][C]0.998921027828263[/C][C]0.00215794434347479[/C][C]0.00107897217173739[/C][/ROW]
[ROW][C]51[/C][C]0.999858218148083[/C][C]0.000283563703833126[/C][C]0.000141781851916563[/C][/ROW]
[ROW][C]52[/C][C]0.999808348801613[/C][C]0.000383302396773318[/C][C]0.000191651198386659[/C][/ROW]
[ROW][C]53[/C][C]0.999759281926194[/C][C]0.00048143614761179[/C][C]0.000240718073805895[/C][/ROW]
[ROW][C]54[/C][C]0.999713909832075[/C][C]0.000572180335850099[/C][C]0.00028609016792505[/C][/ROW]
[ROW][C]55[/C][C]0.999915037459107[/C][C]0.000169925081785781[/C][C]8.49625408928903e-05[/C][/ROW]
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[ROW][C]59[/C][C]0.999947007347457[/C][C]0.000105985305086836[/C][C]5.29926525434181e-05[/C][/ROW]
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[ROW][C]102[/C][C]0.999999070122965[/C][C]1.85975407091679e-06[/C][C]9.29877035458397e-07[/C][/ROW]
[ROW][C]103[/C][C]0.999999547199892[/C][C]9.05600216175421e-07[/C][C]4.52800108087711e-07[/C][/ROW]
[ROW][C]104[/C][C]0.999999338842779[/C][C]1.32231444131724e-06[/C][C]6.6115722065862e-07[/C][/ROW]
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[ROW][C]106[/C][C]0.99999929994253[/C][C]1.40011494078163e-06[/C][C]7.00057470390817e-07[/C][/ROW]
[ROW][C]107[/C][C]0.999999330183358[/C][C]1.33963328372964e-06[/C][C]6.69816641864822e-07[/C][/ROW]
[ROW][C]108[/C][C]0.999999051760604[/C][C]1.8964787925979e-06[/C][C]9.48239396298949e-07[/C][/ROW]
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[ROW][C]110[/C][C]0.999998541057388[/C][C]2.91788522419085e-06[/C][C]1.45894261209543e-06[/C][/ROW]
[ROW][C]111[/C][C]0.999998030709352[/C][C]3.93858129523997e-06[/C][C]1.96929064761999e-06[/C][/ROW]
[ROW][C]112[/C][C]0.999997571106262[/C][C]4.85778747566265e-06[/C][C]2.42889373783133e-06[/C][/ROW]
[ROW][C]113[/C][C]0.999996930480287[/C][C]6.13903942685921e-06[/C][C]3.06951971342961e-06[/C][/ROW]
[ROW][C]114[/C][C]0.99999551607555[/C][C]8.96784890085485e-06[/C][C]4.48392445042743e-06[/C][/ROW]
[ROW][C]115[/C][C]0.999994833076169[/C][C]1.03338476620573e-05[/C][C]5.16692383102867e-06[/C][/ROW]
[ROW][C]116[/C][C]0.999995209891646[/C][C]9.58021670881658e-06[/C][C]4.79010835440829e-06[/C][/ROW]
[ROW][C]117[/C][C]0.999994529603212[/C][C]1.09407935761084e-05[/C][C]5.47039678805419e-06[/C][/ROW]
[ROW][C]118[/C][C]0.999997692534555[/C][C]4.61493088910701e-06[/C][C]2.3074654445535e-06[/C][/ROW]
[ROW][C]119[/C][C]0.999996534095143[/C][C]6.93180971425011e-06[/C][C]3.46590485712505e-06[/C][/ROW]
[ROW][C]120[/C][C]0.999996048104317[/C][C]7.90379136628242e-06[/C][C]3.95189568314121e-06[/C][/ROW]
[ROW][C]121[/C][C]0.999994187108794[/C][C]1.16257824116497e-05[/C][C]5.81289120582484e-06[/C][/ROW]
[ROW][C]122[/C][C]0.999997608653369[/C][C]4.78269326177905e-06[/C][C]2.39134663088953e-06[/C][/ROW]
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[ROW][C]124[/C][C]0.999999268564451[/C][C]1.46287109882627e-06[/C][C]7.31435549413134e-07[/C][/ROW]
[ROW][C]125[/C][C]0.999999956294371[/C][C]8.74112585817307e-08[/C][C]4.37056292908653e-08[/C][/ROW]
[ROW][C]126[/C][C]0.999999945666517[/C][C]1.08666965185486e-07[/C][C]5.43334825927429e-08[/C][/ROW]
[ROW][C]127[/C][C]0.999999920530548[/C][C]1.58938904889289e-07[/C][C]7.94694524446446e-08[/C][/ROW]
[ROW][C]128[/C][C]0.999999884227652[/C][C]2.31544696983998e-07[/C][C]1.15772348491999e-07[/C][/ROW]
[ROW][C]129[/C][C]0.999999863510513[/C][C]2.7297897497368e-07[/C][C]1.3648948748684e-07[/C][/ROW]
[ROW][C]130[/C][C]0.999999784510713[/C][C]4.30978574451091e-07[/C][C]2.15489287225546e-07[/C][/ROW]
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[ROW][C]179[/C][C]0.999999998993933[/C][C]2.01213451575314e-09[/C][C]1.00606725787657e-09[/C][/ROW]
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[ROW][C]183[/C][C]0.999999999912822[/C][C]1.74355437837993e-10[/C][C]8.71777189189965e-11[/C][/ROW]
[ROW][C]184[/C][C]0.999999999921591[/C][C]1.56817638641353e-10[/C][C]7.84088193206763e-11[/C][/ROW]
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[ROW][C]186[/C][C]0.99999999996226[/C][C]7.54800466760664e-11[/C][C]3.77400233380332e-11[/C][/ROW]
[ROW][C]187[/C][C]0.999999999933658[/C][C]1.32684619364426e-10[/C][C]6.63423096822129e-11[/C][/ROW]
[ROW][C]188[/C][C]0.999999999878005[/C][C]2.43990223862404e-10[/C][C]1.21995111931202e-10[/C][/ROW]
[ROW][C]189[/C][C]0.999999999819704[/C][C]3.60591398941288e-10[/C][C]1.80295699470644e-10[/C][/ROW]
[ROW][C]190[/C][C]0.999999999801602[/C][C]3.96795596055604e-10[/C][C]1.98397798027802e-10[/C][/ROW]
[ROW][C]191[/C][C]0.999999999979983[/C][C]4.00341323734393e-11[/C][C]2.00170661867197e-11[/C][/ROW]
[ROW][C]192[/C][C]0.999999999961264[/C][C]7.74713244132098e-11[/C][C]3.87356622066049e-11[/C][/ROW]
[ROW][C]193[/C][C]0.999999999936506[/C][C]1.26987295102524e-10[/C][C]6.34936475512622e-11[/C][/ROW]
[ROW][C]194[/C][C]0.999999999877079[/C][C]2.45841135936911e-10[/C][C]1.22920567968456e-10[/C][/ROW]
[ROW][C]195[/C][C]0.999999999775411[/C][C]4.49177531617494e-10[/C][C]2.24588765808747e-10[/C][/ROW]
[ROW][C]196[/C][C]0.999999999628395[/C][C]7.43209003372517e-10[/C][C]3.71604501686258e-10[/C][/ROW]
[ROW][C]197[/C][C]0.999999999616261[/C][C]7.67478678006511e-10[/C][C]3.83739339003255e-10[/C][/ROW]
[ROW][C]198[/C][C]0.999999999299959[/C][C]1.40008161257448e-09[/C][C]7.00040806287238e-10[/C][/ROW]
[ROW][C]199[/C][C]0.999999999323722[/C][C]1.35255674294756e-09[/C][C]6.76278371473782e-10[/C][/ROW]
[ROW][C]200[/C][C]0.999999998781971[/C][C]2.43605866973216e-09[/C][C]1.21802933486608e-09[/C][/ROW]
[ROW][C]201[/C][C]0.999999997762577[/C][C]4.4748453140599e-09[/C][C]2.23742265702995e-09[/C][/ROW]
[ROW][C]202[/C][C]0.999999996448317[/C][C]7.10336552550229e-09[/C][C]3.55168276275114e-09[/C][/ROW]
[ROW][C]203[/C][C]0.999999994108856[/C][C]1.17822871715567e-08[/C][C]5.89114358577833e-09[/C][/ROW]
[ROW][C]204[/C][C]0.999999989330426[/C][C]2.13391483273986e-08[/C][C]1.06695741636993e-08[/C][/ROW]
[ROW][C]205[/C][C]0.999999989608013[/C][C]2.078397420606e-08[/C][C]1.039198710303e-08[/C][/ROW]
[ROW][C]206[/C][C]0.999999981185406[/C][C]3.76291881311309e-08[/C][C]1.88145940655655e-08[/C][/ROW]
[ROW][C]207[/C][C]0.999999967246375[/C][C]6.55072503073529e-08[/C][C]3.27536251536765e-08[/C][/ROW]
[ROW][C]208[/C][C]0.999999994552068[/C][C]1.08958637897302e-08[/C][C]5.44793189486512e-09[/C][/ROW]
[ROW][C]209[/C][C]0.99999999683952[/C][C]6.32095924208737e-09[/C][C]3.16047962104368e-09[/C][/ROW]
[ROW][C]210[/C][C]0.999999994365294[/C][C]1.12694125412619e-08[/C][C]5.63470627063095e-09[/C][/ROW]
[ROW][C]211[/C][C]0.999999991898539[/C][C]1.62029225726618e-08[/C][C]8.10146128633089e-09[/C][/ROW]
[ROW][C]212[/C][C]0.999999996864488[/C][C]6.27102402949386e-09[/C][C]3.13551201474693e-09[/C][/ROW]
[ROW][C]213[/C][C]0.999999993904098[/C][C]1.21918037385192e-08[/C][C]6.09590186925961e-09[/C][/ROW]
[ROW][C]214[/C][C]0.999999988253447[/C][C]2.34931055104236e-08[/C][C]1.17465527552118e-08[/C][/ROW]
[ROW][C]215[/C][C]0.999999987339315[/C][C]2.53213693724155e-08[/C][C]1.26606846862077e-08[/C][/ROW]
[ROW][C]216[/C][C]0.999999985727068[/C][C]2.85458637921734e-08[/C][C]1.42729318960867e-08[/C][/ROW]
[ROW][C]217[/C][C]0.999999993558942[/C][C]1.28821160414229e-08[/C][C]6.44105802071144e-09[/C][/ROW]
[ROW][C]218[/C][C]0.999999987387483[/C][C]2.52250336620008e-08[/C][C]1.26125168310004e-08[/C][/ROW]
[ROW][C]219[/C][C]0.999999977773947[/C][C]4.4452105312986e-08[/C][C]2.2226052656493e-08[/C][/ROW]
[ROW][C]220[/C][C]0.999999976195271[/C][C]4.76094578295719e-08[/C][C]2.3804728914786e-08[/C][/ROW]
[ROW][C]221[/C][C]0.999999962973848[/C][C]7.40523046272727e-08[/C][C]3.70261523136363e-08[/C][/ROW]
[ROW][C]222[/C][C]0.999999929242602[/C][C]1.4151479546714e-07[/C][C]7.07573977335701e-08[/C][/ROW]
[ROW][C]223[/C][C]0.999999977859401[/C][C]4.42811974739639e-08[/C][C]2.2140598736982e-08[/C][/ROW]
[ROW][C]224[/C][C]0.999999959895485[/C][C]8.02090305001404e-08[/C][C]4.01045152500702e-08[/C][/ROW]
[ROW][C]225[/C][C]0.99999992363796[/C][C]1.52724080603765e-07[/C][C]7.63620403018824e-08[/C][/ROW]
[ROW][C]226[/C][C]0.999999860245023[/C][C]2.79509954928663e-07[/C][C]1.39754977464331e-07[/C][/ROW]
[ROW][C]227[/C][C]0.999999855930751[/C][C]2.88138497719006e-07[/C][C]1.44069248859503e-07[/C][/ROW]
[ROW][C]228[/C][C]0.99999989529052[/C][C]2.09418959846793e-07[/C][C]1.04709479923397e-07[/C][/ROW]
[ROW][C]229[/C][C]0.999999851524081[/C][C]2.9695183779921e-07[/C][C]1.48475918899605e-07[/C][/ROW]
[ROW][C]230[/C][C]0.999999957603115[/C][C]8.47937694318141e-08[/C][C]4.23968847159071e-08[/C][/ROW]
[ROW][C]231[/C][C]0.99999995728064[/C][C]8.54387197720874e-08[/C][C]4.27193598860437e-08[/C][/ROW]
[ROW][C]232[/C][C]0.999999912807517[/C][C]1.74384966877176e-07[/C][C]8.7192483438588e-08[/C][/ROW]
[ROW][C]233[/C][C]0.99999996834869[/C][C]6.3302619375289e-08[/C][C]3.16513096876445e-08[/C][/ROW]
[ROW][C]234[/C][C]0.999999934457771[/C][C]1.31084458307953e-07[/C][C]6.55422291539767e-08[/C][/ROW]
[ROW][C]235[/C][C]0.999999930801509[/C][C]1.38396981470861e-07[/C][C]6.91984907354304e-08[/C][/ROW]
[ROW][C]236[/C][C]0.999999873274443[/C][C]2.53451114453641e-07[/C][C]1.2672555722682e-07[/C][/ROW]
[ROW][C]237[/C][C]0.999999998945564[/C][C]2.10887252493419e-09[/C][C]1.0544362624671e-09[/C][/ROW]
[ROW][C]238[/C][C]0.999999997750749[/C][C]4.49850106401831e-09[/C][C]2.24925053200916e-09[/C][/ROW]
[ROW][C]239[/C][C]0.999999995940517[/C][C]8.11896550175373e-09[/C][C]4.05948275087686e-09[/C][/ROW]
[ROW][C]240[/C][C]0.99999999749894[/C][C]5.00211956990465e-09[/C][C]2.50105978495232e-09[/C][/ROW]
[ROW][C]241[/C][C]0.99999999708791[/C][C]5.82418072217385e-09[/C][C]2.91209036108692e-09[/C][/ROW]
[ROW][C]242[/C][C]0.999999993099382[/C][C]1.38012368403881e-08[/C][C]6.90061842019403e-09[/C][/ROW]
[ROW][C]243[/C][C]0.999999991537892[/C][C]1.69242165554244e-08[/C][C]8.46210827771218e-09[/C][/ROW]
[ROW][C]244[/C][C]0.99999998568564[/C][C]2.86287192468972e-08[/C][C]1.43143596234486e-08[/C][/ROW]
[ROW][C]245[/C][C]0.999999967907466[/C][C]6.41850677571382e-08[/C][C]3.20925338785691e-08[/C][/ROW]
[ROW][C]246[/C][C]0.999999923424821[/C][C]1.53150358686777e-07[/C][C]7.65751793433887e-08[/C][/ROW]
[ROW][C]247[/C][C]0.999999882656413[/C][C]2.34687174214656e-07[/C][C]1.17343587107328e-07[/C][/ROW]
[ROW][C]248[/C][C]0.999999837613982[/C][C]3.24772036894141e-07[/C][C]1.6238601844707e-07[/C][/ROW]
[ROW][C]249[/C][C]0.999999619420326[/C][C]7.61159347298339e-07[/C][C]3.80579673649169e-07[/C][/ROW]
[ROW][C]250[/C][C]0.999999331661093[/C][C]1.33667781304358e-06[/C][C]6.68338906521788e-07[/C][/ROW]
[ROW][C]251[/C][C]0.999999226811858[/C][C]1.54637628379781e-06[/C][C]7.73188141898907e-07[/C][/ROW]
[ROW][C]252[/C][C]0.999998417039097[/C][C]3.16592180643627e-06[/C][C]1.58296090321814e-06[/C][/ROW]
[ROW][C]253[/C][C]0.999996379276129[/C][C]7.24144774244315e-06[/C][C]3.62072387122158e-06[/C][/ROW]
[ROW][C]254[/C][C]0.999991821540051[/C][C]1.63569198981384e-05[/C][C]8.17845994906918e-06[/C][/ROW]
[ROW][C]255[/C][C]0.999992373900508[/C][C]1.52521989830688e-05[/C][C]7.62609949153442e-06[/C][/ROW]
[ROW][C]256[/C][C]0.999984547206342[/C][C]3.09055873151833e-05[/C][C]1.54527936575917e-05[/C][/ROW]
[ROW][C]257[/C][C]0.999982217552919[/C][C]3.55648941611056e-05[/C][C]1.77824470805528e-05[/C][/ROW]
[ROW][C]258[/C][C]0.999971111247112[/C][C]5.77775057761396e-05[/C][C]2.88887528880698e-05[/C][/ROW]
[ROW][C]259[/C][C]0.999951609869968[/C][C]9.67802600644633e-05[/C][C]4.83901300322316e-05[/C][/ROW]
[ROW][C]260[/C][C]0.999891931684544[/C][C]0.000216136630912116[/C][C]0.000108068315456058[/C][/ROW]
[ROW][C]261[/C][C]0.999789425492998[/C][C]0.000421149014004303[/C][C]0.000210574507002151[/C][/ROW]
[ROW][C]262[/C][C]0.999557165001119[/C][C]0.000885669997761471[/C][C]0.000442834998880735[/C][/ROW]
[ROW][C]263[/C][C]0.999069909539067[/C][C]0.00186018092186569[/C][C]0.000930090460932846[/C][/ROW]
[ROW][C]264[/C][C]0.998196774035482[/C][C]0.00360645192903695[/C][C]0.00180322596451847[/C][/ROW]
[ROW][C]265[/C][C]0.998709721633838[/C][C]0.00258055673232358[/C][C]0.00129027836616179[/C][/ROW]
[ROW][C]266[/C][C]0.997757780920959[/C][C]0.00448443815808105[/C][C]0.00224221907904052[/C][/ROW]
[ROW][C]267[/C][C]0.99888595026292[/C][C]0.00222809947415925[/C][C]0.00111404973707963[/C][/ROW]
[ROW][C]268[/C][C]0.997986392280542[/C][C]0.00402721543891693[/C][C]0.00201360771945846[/C][/ROW]
[ROW][C]269[/C][C]0.999994302784827[/C][C]1.13944303467461e-05[/C][C]5.69721517337304e-06[/C][/ROW]
[ROW][C]270[/C][C]0.999988924371413[/C][C]2.21512571736988e-05[/C][C]1.10756285868494e-05[/C][/ROW]
[ROW][C]271[/C][C]0.999962083158376[/C][C]7.58336832483449e-05[/C][C]3.79168416241725e-05[/C][/ROW]
[ROW][C]272[/C][C]0.999875560066486[/C][C]0.000248879867028835[/C][C]0.000124439933514417[/C][/ROW]
[ROW][C]273[/C][C]0.999693370664482[/C][C]0.000613258671036815[/C][C]0.000306629335518408[/C][/ROW]
[ROW][C]274[/C][C]0.9989922797101[/C][C]0.00201544057979936[/C][C]0.00100772028989968[/C][/ROW]
[ROW][C]275[/C][C]0.99746231130267[/C][C]0.00507537739466032[/C][C]0.00253768869733016[/C][/ROW]
[ROW][C]276[/C][C]0.990324082677711[/C][C]0.019351834644578[/C][C]0.00967591732228898[/C][/ROW]
[ROW][C]277[/C][C]0.984550682343115[/C][C]0.0308986353137697[/C][C]0.0154493176568849[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201504&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201504&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
120.9732692128453570.05346157430928540.0267307871546427
130.9824121128732940.03517577425341240.0175878871267062
140.9645165129533290.07096697409334290.0354834870466714
150.9486403960038290.1027192079923420.0513596039961711
160.9170240176829640.1659519646340710.0829759823170355
170.9432891798853290.1134216402293420.056710820114671
180.9185195243200950.1629609513598110.0814804756799054
190.9022201990396090.1955596019207820.0977798009603911
200.9376113436194430.1247773127611150.0623886563805573
210.9160636549950620.1678726900098760.0839363450049379
220.8876686737000070.2246626525999850.112331326299993
230.9975597466129590.004880506774081360.00244025338704068
240.9963961087145020.007207782570995890.00360389128549794
250.9958656930661790.008268613867642730.00413430693382136
260.9992736043607570.001452791278485560.000726395639242782
270.9996261521146080.00074769577078340.0003738478853917
280.9993824780293950.001235043941209920.00061752197060496
290.9993296677894060.001340664421188340.000670332210594171
300.9992181957443920.001563608511216450.000781804255608226
310.9991855417802020.001628916439596130.000814458219798063
320.9987037532360050.002592493527989910.00129624676399495
330.9980655897877580.003868820424484680.00193441021224234
340.9980310527721220.003937894455755640.00196894722787782
350.9980828426179270.003834314764145440.00191715738207272
360.9976212642386010.004757471522797390.00237873576139869
370.9968667221356240.006266555728751060.00313327786437553
380.9954822618838780.00903547623224410.00451773811612205
390.9990145424936140.001970915012772710.000985457506386357
400.9991810992343450.001637801531309790.000818900765654897
410.998847441190060.002305117619879430.00115255880993971
420.998513148128570.002973703742859270.00148685187142964
430.9979570480086850.0040859039826290.0020429519913145
440.9970708573519850.005858285296029620.00292914264801481
450.9977034506833510.004593098633298470.00229654931664924
460.9969459357515630.006108128496874280.00305406424843714
470.9965283641383370.00694327172332670.00347163586166335
480.9951283861060480.009743227787904230.00487161389395211
490.9933712994700820.01325740105983620.00662870052991808
500.9989210278282630.002157944343474790.00107897217173739
510.9998582181480830.0002835637038331260.000141781851916563
520.9998083488016130.0003833023967733180.000191651198386659
530.9997592819261940.000481436147611790.000240718073805895
540.9997139098320750.0005721803358500990.00028609016792505
550.9999150374591070.0001699250817857818.49625408928903e-05
560.9998733490915220.0002533018169550140.000126650908477507
570.9998532493827780.0002935012344442860.000146750617222143
580.9999644283218187.11433563649775e-053.55716781824887e-05
590.9999470073474570.0001059853050868365.29926525434181e-05
600.9999255649992790.000148870001442197.44350007210952e-05
610.9998937093633580.0002125812732847850.000106290636642393
620.9998927761172720.0002144477654568070.000107223882728404
630.9999037530008580.0001924939982838739.62469991419365e-05
640.9998593008522090.0002813982955819180.000140699147790959
650.9998055789280320.0003888421439364350.000194421071968217
660.9997176207518410.0005647584963180210.000282379248159011
670.9996636566756590.0006726866486818920.000336343324340946
680.9995375557568950.000924888486210050.000462444243105025
690.9993662372704050.001267525459189630.000633762729594817
700.9994225030048540.001154993990291980.000577496995145992
710.9992374989240660.001525002151867460.00076250107593373
720.9995207453160530.0009585093678931790.000479254683946589
730.9996174458121740.0007651083756524350.000382554187826217
740.9996175683695760.0007648632608479470.000382431630423974
750.999652695093630.0006946098127405580.000347304906370279
760.999588783662230.0008224326755399310.000411216337769965
770.9996921776916290.0006156446167411820.000307822308370591
780.9996058860761890.0007882278476214690.000394113923810735
790.9996042054160310.0007915891679385950.000395794583969298
800.9994464755588280.001107048882343120.000553524441171558
810.9992335538655740.001532892268852830.000766446134426417
820.9993641917966330.001271616406734610.000635808203367306
830.9995443238019190.0009113523961615230.000455676198080762
840.9995266679566350.0009466640867305760.000473332043365288
850.9994244304506690.001151139098661640.00057556954933082
860.9994367642178180.001126471564362970.000563235782181483
870.9992788300815310.001442339836938870.000721169918469437
880.9991600391288410.001679921742318860.000839960871159429
890.9998181594000540.0003636811998912130.000181840599945607
900.9997814637025280.0004370725949443860.000218536297472193
910.9998046628182660.0003906743634688860.000195337181734443
920.9997608296020950.0004783407958103890.000239170397905194
930.9997638662359560.0004722675280870870.000236133764043543
940.9996795407464650.0006409185070699920.000320459253534996
950.99960244554540.0007951089091997460.000397554454599873
960.9995136392523430.0009727214953130320.000486360747656516
970.9994684626738030.00106307465239330.000531537326196648
980.9999996715085626.5698287614888e-073.2849143807444e-07
990.9999995725309528.54938095723963e-074.27469047861982e-07
1000.9999993782149461.24357010816401e-066.21785054082007e-07
1010.9999991587954271.68240914581284e-068.4120457290642e-07
1020.9999990701229651.85975407091679e-069.29877035458397e-07
1030.9999995471998929.05600216175421e-074.52800108087711e-07
1040.9999993388427791.32231444131724e-066.6115722065862e-07
1050.9999993818749991.23625000113274e-066.18125000566372e-07
1060.999999299942531.40011494078163e-067.00057470390817e-07
1070.9999993301833581.33963328372964e-066.69816641864822e-07
1080.9999990517606041.8964787925979e-069.48239396298949e-07
1090.9999990499962661.90000746761491e-069.50003733807455e-07
1100.9999985410573882.91788522419085e-061.45894261209543e-06
1110.9999980307093523.93858129523997e-061.96929064761999e-06
1120.9999975711062624.85778747566265e-062.42889373783133e-06
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1140.999995516075558.96784890085485e-064.48392445042743e-06
1150.9999948330761691.03338476620573e-055.16692383102867e-06
1160.9999952098916469.58021670881658e-064.79010835440829e-06
1170.9999945296032121.09407935761084e-055.47039678805419e-06
1180.9999976925345554.61493088910701e-062.3074654445535e-06
1190.9999965340951436.93180971425011e-063.46590485712505e-06
1200.9999960481043177.90379136628242e-063.95189568314121e-06
1210.9999941871087941.16257824116497e-055.81289120582484e-06
1220.9999976086533694.78269326177905e-062.39134663088953e-06
1230.9999973344686965.33106260778861e-062.66553130389431e-06
1240.9999992685644511.46287109882627e-067.31435549413134e-07
1250.9999999562943718.74112585817307e-084.37056292908653e-08
1260.9999999456665171.08666965185486e-075.43334825927429e-08
1270.9999999205305481.58938904889289e-077.94694524446446e-08
1280.9999998842276522.31544696983998e-071.15772348491999e-07
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1300.9999997845107134.30978574451091e-072.15489287225546e-07
1310.999999668361186.63277640384245e-073.31638820192123e-07
1320.9999998162377983.67524405007619e-071.8376220250381e-07
1330.999999745911035.08177939999548e-072.54088969999774e-07
1340.9999999598520228.02959560659656e-084.01479780329828e-08
1350.9999999421737831.15652434870288e-075.78262174351442e-08
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1500.9999994230395291.15392094148224e-065.76960470741121e-07
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1600.9999989841778832.03164423473554e-061.01582211736777e-06
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1660.9999993195933341.36081333253107e-066.80406666265535e-07
1670.9999989585907822.08281843624731e-061.04140921812366e-06
1680.9999985041567782.99168644325085e-061.49584322162543e-06
1690.9999983159094493.36818110300002e-061.68409055150001e-06
1700.9999999893361832.13276342519639e-081.06638171259819e-08
1710.9999999822141943.5571612126163e-081.77858060630815e-08
1720.9999999743994395.1201122036394e-082.5600561018197e-08
1730.9999999571612638.56774737363163e-084.28387368681582e-08
1740.9999999832868743.34262520167082e-081.67131260083541e-08
1750.9999999997152765.69448408394982e-102.84724204197491e-10
1760.9999999995251449.49711171761847e-104.74855585880924e-10
1770.9999999996369817.26037855495249e-103.63018927747625e-10
1780.9999999993914371.21712565990079e-096.08562829950397e-10
1790.9999999989939332.01213451575314e-091.00606725787657e-09
1800.9999999995596288.80744068885729e-104.40372034442864e-10
1810.9999999994575451.08491024757919e-095.42455123789594e-10
1820.9999999999532719.34580909438078e-114.67290454719039e-11
1830.9999999999128221.74355437837993e-108.71777189189965e-11
1840.9999999999215911.56817638641353e-107.84088193206763e-11
1850.9999999999790994.18020853558967e-112.09010426779484e-11
1860.999999999962267.54800466760664e-113.77400233380332e-11
1870.9999999999336581.32684619364426e-106.63423096822129e-11
1880.9999999998780052.43990223862404e-101.21995111931202e-10
1890.9999999998197043.60591398941288e-101.80295699470644e-10
1900.9999999998016023.96795596055604e-101.98397798027802e-10
1910.9999999999799834.00341323734393e-112.00170661867197e-11
1920.9999999999612647.74713244132098e-113.87356622066049e-11
1930.9999999999365061.26987295102524e-106.34936475512622e-11
1940.9999999998770792.45841135936911e-101.22920567968456e-10
1950.9999999997754114.49177531617494e-102.24588765808747e-10
1960.9999999996283957.43209003372517e-103.71604501686258e-10
1970.9999999996162617.67478678006511e-103.83739339003255e-10
1980.9999999992999591.40008161257448e-097.00040806287238e-10
1990.9999999993237221.35255674294756e-096.76278371473782e-10
2000.9999999987819712.43605866973216e-091.21802933486608e-09
2010.9999999977625774.4748453140599e-092.23742265702995e-09
2020.9999999964483177.10336552550229e-093.55168276275114e-09
2030.9999999941088561.17822871715567e-085.89114358577833e-09
2040.9999999893304262.13391483273986e-081.06695741636993e-08
2050.9999999896080132.078397420606e-081.039198710303e-08
2060.9999999811854063.76291881311309e-081.88145940655655e-08
2070.9999999672463756.55072503073529e-083.27536251536765e-08
2080.9999999945520681.08958637897302e-085.44793189486512e-09
2090.999999996839526.32095924208737e-093.16047962104368e-09
2100.9999999943652941.12694125412619e-085.63470627063095e-09
2110.9999999918985391.62029225726618e-088.10146128633089e-09
2120.9999999968644886.27102402949386e-093.13551201474693e-09
2130.9999999939040981.21918037385192e-086.09590186925961e-09
2140.9999999882534472.34931055104236e-081.17465527552118e-08
2150.9999999873393152.53213693724155e-081.26606846862077e-08
2160.9999999857270682.85458637921734e-081.42729318960867e-08
2170.9999999935589421.28821160414229e-086.44105802071144e-09
2180.9999999873874832.52250336620008e-081.26125168310004e-08
2190.9999999777739474.4452105312986e-082.2226052656493e-08
2200.9999999761952714.76094578295719e-082.3804728914786e-08
2210.9999999629738487.40523046272727e-083.70261523136363e-08
2220.9999999292426021.4151479546714e-077.07573977335701e-08
2230.9999999778594014.42811974739639e-082.2140598736982e-08
2240.9999999598954858.02090305001404e-084.01045152500702e-08
2250.999999923637961.52724080603765e-077.63620403018824e-08
2260.9999998602450232.79509954928663e-071.39754977464331e-07
2270.9999998559307512.88138497719006e-071.44069248859503e-07
2280.999999895290522.09418959846793e-071.04709479923397e-07
2290.9999998515240812.9695183779921e-071.48475918899605e-07
2300.9999999576031158.47937694318141e-084.23968847159071e-08
2310.999999957280648.54387197720874e-084.27193598860437e-08
2320.9999999128075171.74384966877176e-078.7192483438588e-08
2330.999999968348696.3302619375289e-083.16513096876445e-08
2340.9999999344577711.31084458307953e-076.55422291539767e-08
2350.9999999308015091.38396981470861e-076.91984907354304e-08
2360.9999998732744432.53451114453641e-071.2672555722682e-07
2370.9999999989455642.10887252493419e-091.0544362624671e-09
2380.9999999977507494.49850106401831e-092.24925053200916e-09
2390.9999999959405178.11896550175373e-094.05948275087686e-09
2400.999999997498945.00211956990465e-092.50105978495232e-09
2410.999999997087915.82418072217385e-092.91209036108692e-09
2420.9999999930993821.38012368403881e-086.90061842019403e-09
2430.9999999915378921.69242165554244e-088.46210827771218e-09
2440.999999985685642.86287192468972e-081.43143596234486e-08
2450.9999999679074666.41850677571382e-083.20925338785691e-08
2460.9999999234248211.53150358686777e-077.65751793433887e-08
2470.9999998826564132.34687174214656e-071.17343587107328e-07
2480.9999998376139823.24772036894141e-071.6238601844707e-07
2490.9999996194203267.61159347298339e-073.80579673649169e-07
2500.9999993316610931.33667781304358e-066.68338906521788e-07
2510.9999992268118581.54637628379781e-067.73188141898907e-07
2520.9999984170390973.16592180643627e-061.58296090321814e-06
2530.9999963792761297.24144774244315e-063.62072387122158e-06
2540.9999918215400511.63569198981384e-058.17845994906918e-06
2550.9999923739005081.52521989830688e-057.62609949153442e-06
2560.9999845472063423.09055873151833e-051.54527936575917e-05
2570.9999822175529193.55648941611056e-051.77824470805528e-05
2580.9999711112471125.77775057761396e-052.88887528880698e-05
2590.9999516098699689.67802600644633e-054.83901300322316e-05
2600.9998919316845440.0002161366309121160.000108068315456058
2610.9997894254929980.0004211490140043030.000210574507002151
2620.9995571650011190.0008856699977614710.000442834998880735
2630.9990699095390670.001860180921865690.000930090460932846
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2660.9977577809209590.004484438158081050.00224221907904052
2670.998885950262920.002228099474159250.00111404973707963
2680.9979863922805420.004027215438916930.00201360771945846
2690.9999943027848271.13944303467461e-055.69721517337304e-06
2700.9999889243714132.21512571736988e-051.10756285868494e-05
2710.9999620831583767.58336832483449e-053.79168416241725e-05
2720.9998755600664860.0002488798670288350.000124439933514417
2730.9996933706644820.0006132586710368150.000306629335518408
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2750.997462311302670.005075377394660320.00253768869733016
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2770.9845506823431150.03089863531376970.0154493176568849






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2520.947368421052632NOK
5% type I error level2560.962406015037594NOK
10% type I error level2580.969924812030075NOK

\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 & 252 & 0.947368421052632 & NOK \tabularnewline
5% type I error level & 256 & 0.962406015037594 & NOK \tabularnewline
10% type I error level & 258 & 0.969924812030075 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201504&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]252[/C][C]0.947368421052632[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]256[/C][C]0.962406015037594[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]258[/C][C]0.969924812030075[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201504&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201504&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2520.947368421052632NOK
5% type I error level2560.962406015037594NOK
10% type I error level2580.969924812030075NOK


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')
}