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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 12:26:15 -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/t1355852250mh25msdeq9d2o4t.htm/, Retrieved Thu, 25 Apr 2024 06:40:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=201521, Retrieved Thu, 25 Apr 2024 06:40:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact134

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 17:26:15] [d4fa74adfb78d9d8ef512a6958d64ed4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
210907	56	396	81	3	79	115	94
120982	56	297	55	4	58	109	103
176508	54	559	50	12	60	146	93
179321	89	967	125	2	108	116	103
123185	40	270	40	1	49	68	51
52746	25	143	37	3	0	101	70
385534	92	1562	63	0	121	96	91
33170	18	109	44	0	1	67	22
101645	63	371	88	0	20	44	38
149061	44	656	66	5	43	100	93
165446	33	511	57	0	69	93	60
237213	84	655	74	0	78	140	123
173326	88	465	49	7	86	166	148
133131	55	525	52	7	44	99	90
258873	60	885	88	3	104	139	124
180083	66	497	36	9	63	130	70
324799	154	1436	108	0	158	181	168
230964	53	612	43	4	102	116	115
236785	119	865	75	3	77	116	71
135473	41	385	32	0	82	88	66
202925	61	567	44	7	115	139	134
215147	58	639	85	0	101	135	117
344297	75	963	86	1	80	108	108
153935	33	398	56	5	50	89	84
132943	40	410	50	7	83	156	156
174724	92	966	135	0	123	129	120
174415	100	801	63	0	73	118	114
225548	112	892	81	5	81	118	94
223632	73	513	52	0	105	125	120
124817	40	469	44	0	47	95	81
221698	45	683	113	0	105	126	110
210767	60	643	39	3	94	135	133
170266	62	535	73	4	44	154	122
260561	75	625	48	1	114	165	158
84853	31	264	33	4	38	113	109
294424	77	992	59	2	107	127	124
101011	34	238	41	0	30	52	39
215641	46	818	69	0	71	121	92
325107	99	937	64	0	84	136	126
7176	17	70	1	0	0	0	0
167542	66	507	59	2	59	108	70
106408	30	260	32	1	33	46	37
96560	76	503	129	0	42	54	38
265769	146	927	37	2	96	124	120
269651	67	1269	31	10	106	115	93
149112	56	537	65	6	56	128	95
175824	107	910	107	0	57	80	77
152871	58	532	74	5	59	97	90
111665	34	345	54	4	39	104	80
116408	61	918	76	1	34	59	31
362301	119	1635	715	2	76	125	110
78800	42	330	57	2	20	82	66
183167	66	557	66	0	91	149	138
277965	89	1178	106	8	115	149	133
150629	44	740	54	3	85	122	113
168809	66	452	32	0	76	118	100
24188	24	218	20	0	8	12	7
329267	259	764	71	8	79	144	140
65029	17	255	21	5	21	67	61
101097	64	454	70	3	30	52	41
218946	41	866	112	1	76	108	96
244052	68	574	66	5	101	166	164
341570	168	1276	190	1	94	80	78
103597	43	379	66	1	27	60	49
233328	132	825	165	5	92	107	102
256462	105	798	56	0	123	127	124
206161	71	663	61	12	75	107	99
311473	112	1069	53	8	128	146	129
235800	94	921	127	8	105	84	62
177939	82	858	63	8	55	141	73
207176	70	711	38	8	56	123	114
196553	57	503	50	2	41	111	99
174184	53	382	52	0	72	98	70
143246	103	464	42	5	67	105	104
187559	121	717	76	8	75	135	116
187681	62	690	67	2	114	107	91
119016	52	462	50	5	118	85	74
182192	52	657	53	12	77	155	138
73566	32	385	39	6	22	88	67
194979	62	577	50	7	66	155	151
167488	45	619	77	2	69	104	72
143756	46	479	57	0	105	132	120
275541	63	817	73	4	116	127	115
243199	75	752	34	3	88	108	105
182999	88	430	39	6	73	129	104
135649	46	451	46	2	99	116	108
152299	53	537	63	0	62	122	98
120221	37	519	35	1	53	85	69
346485	90	1000	106	0	118	147	111
145790	63	637	43	5	30	99	99
193339	78	465	47	2	100	87	71
80953	25	437	31	0	49	28	27
122774	45	711	162	0	24	90	69
130585	46	299	57	5	67	109	107
112611	41	248	36	0	46	78	73
286468	144	1162	263	1	57	111	107
241066	82	714	78	0	75	158	93
148446	91	905	63	1	135	141	129
204713	71	649	54	1	68	122	69
182079	63	512	63	2	124	124	118
140344	53	472	77	6	33	93	73
220516	62	905	79	1	98	124	119
243060	63	786	110	4	58	112	104
162765	32	489	56	2	68	108	107
182613	39	479	56	3	81	99	99
232138	62	617	43	0	131	117	90
265318	117	925	111	10	110	199	197
85574	34	351	71	0	37	78	36
310839	92	1144	62	9	130	91	85
225060	93	669	56	7	93	158	139
232317	54	707	74	0	118	126	106
144966	144	458	60	0	39	122	50
43287	14	214	43	4	13	71	64
155754	61	599	68	4	74	75	31
164709	109	572	53	0	81	115	63
201940	38	897	87	0	109	119	92
235454	73	819	46	0	151	124	106
220801	75	720	105	1	51	72	63
99466	50	273	32	0	28	91	69
92661	61	508	133	1	40	45	41
133328	55	506	79	0	56	78	56
61361	77	451	51	0	27	39	25
125930	75	699	207	4	37	68	65
100750	72	407	67	0	83	119	93
224549	50	465	47	4	54	117	114
82316	32	245	34	4	27	39	38
102010	53	370	66	3	28	50	44
101523	42	316	76	0	59	88	87
243511	71	603	65	0	133	155	110
22938	10	154	9	0	12	0	0
41566	35	229	42	5	0	36	27
152474	65	577	45	0	106	123	83
61857	25	192	25	4	23	32	30
99923	66	617	115	0	44	99	80
132487	41	411	97	0	71	136	98
317394	86	975	53	1	116	117	82
21054	16	146	2	0	4	0	0
209641	42	705	52	5	62	88	60
22648	19	184	44	0	12	39	28
31414	19	200	22	0	18	25	9
46698	45	274	35	0	14	52	33
131698	65	502	74	0	60	75	59
91735	35	382	103	0	7	71	49
244749	95	964	144	2	98	124	115
184510	49	537	60	7	64	151	140
79863	37	438	134	1	29	71	49
128423	64	369	89	8	32	145	120
97839	38	417	42	2	25	87	66
38214	34	276	52	0	16	27	21
151101	32	514	98	2	48	131	124
272458	65	822	99	0	100	162	152
172494	52	389	52	0	46	165	139
108043	62	466	29	1	45	54	38
328107	65	1255	125	3	129	159	144
250579	83	694	106	0	130	147	120
351067	95	1024	95	3	136	170	160
158015	29	400	40	0	59	119	114
98866	18	397	140	0	25	49	39
85439	33	350	43	0	32	104	78
229242	247	719	128	4	63	120	119
351619	139	1277	142	4	95	150	141
84207	29	356	73	11	14	112	101
120445	118	457	72	0	36	59	56
324598	110	1402	128	0	113	136	133
131069	67	600	61	4	47	107	83
204271	42	480	73	0	92	130	116
165543	65	595	148	1	70	115	90
141722	94	436	64	0	19	107	36
116048	64	230	45	0	50	75	50
250047	81	651	58	0	41	71	61
299775	95	1367	97	9	91	120	97
195838	67	564	50	1	111	116	98
173260	63	716	37	3	41	79	78
254488	83	747	50	10	120	150	117
104389	45	467	105	5	135	156	148
136084	30	671	69	0	27	51	41
199476	70	861	46	2	87	118	105
92499	32	319	57	0	25	71	55
224330	83	612	52	1	131	144	132
135781	31	433	98	2	45	47	44
74408	67	434	61	4	29	28	21
81240	66	503	89	0	58	68	50
14688	10	85	0	0	4	0	0
181633	70	564	48	2	47	110	73
271856	103	824	91	1	109	147	86
7199	5	74	0	0	7	0	0
46660	20	259	7	0	12	15	13
17547	5	69	3	0	0	4	4
133368	36	535	54	1	37	64	57
95227	34	239	70	0	37	111	48
152601	48	438	36	2	46	85	46
98146	40	459	37	0	15	68	48
79619	43	426	123	3	42	40	32
59194	31	288	247	6	7	80	68
139942	42	498	46	0	54	88	87
118612	46	454	72	2	54	48	43
72880	33	376	41	0	14	76	67
65475	18	225	24	2	16	51	46
99643	55	555	45	1	33	67	46
71965	35	252	33	1	32	59	56
77272	59	208	27	2	21	61	48
49289	19	130	36	1	15	76	44
135131	66	481	87	0	38	60	60
108446	60	389	90	1	22	68	65
89746	36	565	114	3	28	71	55
44296	25	173	31	0	10	76	38
77648	47	278	45	0	31	62	52
181528	54	609	69	0	32	61	60
134019	53	422	51	0	32	67	54
124064	40	445	34	1	43	88	86
92630	40	387	60	4	27	30	24
121848	39	339	45	0	37	64	52
52915	14	181	54	0	20	68	49
81872	45	245	25	0	32	64	61
58981	36	384	38	7	0	91	61
53515	28	212	52	2	5	88	81
60812	44	399	67	0	26	52	43
56375	30	229	74	7	10	49	40
65490	22	224	38	3	27	62	40
80949	17	203	30	0	11	61	56
76302	31	333	26	0	29	76	68
104011	55	384	67	6	25	88	79
98104	54	636	132	2	55	66	47
67989	21	185	42	0	23	71	57
30989	14	93	35	0	5	68	41
135458	81	581	118	3	43	48	29
73504	35	248	68	0	23	25	3
63123	43	304	43	1	34	68	60
61254	46	344	76	1	36	41	30
74914	30	407	64	0	35	90	79
31774	23	170	48	1	0	66	47
81437	38	312	64	0	37	54	40
87186	54	507	56	0	28	59	48
50090	20	224	71	0	16	60	36
65745	53	340	75	0	26	77	42
56653	45	168	39	0	38	68	49
158399	39	443	42	0	23	72	57
46455	20	204	39	0	22	67	12
73624	24	367	93	0	30	64	40
38395	31	210	38	0	16	63	43
91899	35	335	60	0	18	59	33
139526	151	364	71	0	28	84	77
52164	52	178	52	0	32	64	43
51567	30	206	27	2	21	56	45
70551	31	279	59	0	23	54	47
84856	29	387	40	1	29	67	43
102538	57	490	79	1	50	58	45
86678	40	238	44	0	12	59	50
85709	44	343	65	0	21	40	35
34662	25	232	10	0	18	22	7
150580	77	530	124	0	27	83	71
99611	35	291	81	0	41	81	67
19349	11	67	15	0	13	2	0
99373	63	397	92	1	12	72	62
86230	44	467	42	0	21	61	54
30837	19	178	10	0	8	15	4
31706	13	175	24	0	26	32	25
89806	42	299	64	0	27	62	40
62088	38	154	45	1	13	58	38
40151	29	106	22	0	16	36	19
27634	20	189	56	0	2	59	17
76990	27	194	94	0	42	68	67
37460	20	135	19	0	5	21	14
54157	19	201	35	0	37	55	30
49862	37	207	32	0	17	54	54
84337	26	280	35	0	38	55	35
64175	42	260	48	0	37	72	59
59382	49	227	49	0	29	41	24
119308	30	239	48	0	32	61	58
76702	49	333	62	0	35	67	42
103425	67	428	96	1	17	76	46
70344	28	230	45	0	20	64	61
43410	19	292	63	0	7	3	3
104838	49	350	71	1	46	63	52
62215	27	186	26	0	24	40	25
69304	30	326	48	6	40	69	40
53117	22	155	29	3	3	48	32
19764	12	75	19	1	10	8	4
86680	31	361	45	2	37	52	49
84105	20	261	45	0	17	66	63
77945	20	299	67	0	28	76	67
89113	39	300	30	0	19	43	32
91005	29	450	36	3	29	39	23
40248	16	183	34	1	8	14	7
64187	27	238	36	0	10	61	54
50857	21	165	34	0	15	71	37
56613	19	234	37	1	15	44	35
62792	35	176	46	0	28	60	51
72535	14	329	44	0	17	64	39

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time17 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 & 17 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201521&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]17 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=201521&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201521&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 time17 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Multiple Linear Regression - Estimated Regression Equation
time_in_rfc[t] = -10754.1287570495 + 312.121322601674logins[t] + 156.727161601708compendium_views_info[t] -68.42679890478compendium_views_pr[t] -795.633222474424shared_compendiums[t] + 413.210591156951blogged_computations[t] + 228.948407403798feedback_messages_p1[t] + 258.04564899951feedback_messages_p120[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
time_in_rfc[t] =  -10754.1287570495 +  312.121322601674logins[t] +  156.727161601708compendium_views_info[t] -68.42679890478compendium_views_pr[t] -795.633222474424shared_compendiums[t] +  413.210591156951blogged_computations[t] +  228.948407403798feedback_messages_p1[t] +  258.04564899951feedback_messages_p120[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201521&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]time_in_rfc[t] =  -10754.1287570495 +  312.121322601674logins[t] +  156.727161601708compendium_views_info[t] -68.42679890478compendium_views_pr[t] -795.633222474424shared_compendiums[t] +  413.210591156951blogged_computations[t] +  228.948407403798feedback_messages_p1[t] +  258.04564899951feedback_messages_p120[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201521&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201521&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] = -10754.1287570495 + 312.121322601674logins[t] + 156.727161601708compendium_views_info[t] -68.42679890478compendium_views_pr[t] -795.633222474424shared_compendiums[t] + 413.210591156951blogged_computations[t] + 228.948407403798feedback_messages_p1[t] + 258.04564899951feedback_messages_p120[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-10754.12875704954378.041128-2.45640.014640.00732
logins312.12132260167469.0221144.5229e-065e-06
compendium_views_info156.72716160170811.32099713.843900
compendium_views_pr-68.4267989047838.620943-1.77180.0775190.03876
shared_compendiums-795.633222474424675.464625-1.17790.2398310.119916
blogged_computations413.21059115695188.4656744.67095e-062e-06
feedback_messages_p1228.948407403798122.7013081.86590.0630970.031549
feedback_messages_p120258.04564899951128.6312382.00610.0458050.022903

\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) & -10754.1287570495 & 4378.041128 & -2.4564 & 0.01464 & 0.00732 \tabularnewline
logins & 312.121322601674 & 69.022114 & 4.522 & 9e-06 & 5e-06 \tabularnewline
compendium_views_info & 156.727161601708 & 11.320997 & 13.8439 & 0 & 0 \tabularnewline
compendium_views_pr & -68.42679890478 & 38.620943 & -1.7718 & 0.077519 & 0.03876 \tabularnewline
shared_compendiums & -795.633222474424 & 675.464625 & -1.1779 & 0.239831 & 0.119916 \tabularnewline
blogged_computations & 413.210591156951 & 88.465674 & 4.6709 & 5e-06 & 2e-06 \tabularnewline
feedback_messages_p1 & 228.948407403798 & 122.701308 & 1.8659 & 0.063097 & 0.031549 \tabularnewline
feedback_messages_p120 & 258.04564899951 & 128.631238 & 2.0061 & 0.045805 & 0.022903 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201521&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]-10754.1287570495[/C][C]4378.041128[/C][C]-2.4564[/C][C]0.01464[/C][C]0.00732[/C][/ROW]
[ROW][C]logins[/C][C]312.121322601674[/C][C]69.022114[/C][C]4.522[/C][C]9e-06[/C][C]5e-06[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]156.727161601708[/C][C]11.320997[/C][C]13.8439[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]-68.42679890478[/C][C]38.620943[/C][C]-1.7718[/C][C]0.077519[/C][C]0.03876[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]-795.633222474424[/C][C]675.464625[/C][C]-1.1779[/C][C]0.239831[/C][C]0.119916[/C][/ROW]
[ROW][C]blogged_computations[/C][C]413.210591156951[/C][C]88.465674[/C][C]4.6709[/C][C]5e-06[/C][C]2e-06[/C][/ROW]
[ROW][C]feedback_messages_p1[/C][C]228.948407403798[/C][C]122.701308[/C][C]1.8659[/C][C]0.063097[/C][C]0.031549[/C][/ROW]
[ROW][C]feedback_messages_p120[/C][C]258.04564899951[/C][C]128.631238[/C][C]2.0061[/C][C]0.045805[/C][C]0.022903[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201521&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201521&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)-10754.12875704954378.041128-2.45640.014640.00732
logins312.12132260167469.0221144.5229e-065e-06
compendium_views_info156.72716160170811.32099713.843900
compendium_views_pr-68.4267989047838.620943-1.77180.0775190.03876
shared_compendiums-795.633222474424675.464625-1.17790.2398310.119916
blogged_computations413.21059115695188.4656744.67095e-062e-06
feedback_messages_p1228.948407403798122.7013081.86590.0630970.031549
feedback_messages_p120258.04564899951128.6312382.00610.0458050.022903






Multiple Linear Regression - Regression Statistics
Multiple R0.942126402219463
R-squared0.88760215775899
Adjusted R-squared0.884802211510993
F-TEST (value)317.006856254491
F-TEST (DF numerator)7
F-TEST (DF denominator)281
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation27946.6527662672
Sum Squared Residuals219465327635.565

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.942126402219463 \tabularnewline
R-squared & 0.88760215775899 \tabularnewline
Adjusted R-squared & 0.884802211510993 \tabularnewline
F-TEST (value) & 317.006856254491 \tabularnewline
F-TEST (DF numerator) & 7 \tabularnewline
F-TEST (DF denominator) & 281 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 27946.6527662672 \tabularnewline
Sum Squared Residuals & 219465327635.565 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201521&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.942126402219463[/C][/ROW]
[ROW][C]R-squared[/C][C]0.88760215775899[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.884802211510993[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]317.006856254491[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]7[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]281[/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]27946.6527662672[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]219465327635.565[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201521&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201521&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 R0.942126402219463
R-squared0.88760215775899
Adjusted R-squared0.884802211510993
F-TEST (value)317.006856254491
F-TEST (DF numerator)7
F-TEST (DF denominator)281
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation27946.6527662672
Sum Squared Residuals219465327635.565






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1210907144088.14548366818.8545169999
2120982121826.918015758-844.918015757687
3176508162959.3156911913548.6843088102
4179321256198.678866046-76877.6788660458
512318589490.49136993733694.508630063
65274655729.1817678858-2983.18176788583
7385534353917.65371288331616.3462871173
83317030366.29467775722803.70532224279
910164589177.409628356612467.5903716434
10149061161959.03412514-12898.0341251403
11165446141019.5985480624426.4014519403
12237213209079.5880453728133.4119546301
13173326192400.634593493-19074.6345934927
14133131143637.944480408-10506.9444804076
15258873245063.62123090913809.3787690912
16180083151973.96972321528109.0302767845
17324799405061.268876748-80262.2688767485
18230964193961.18419007537002.8158099253
19236785231134.8656896375650.13431036342
20135473131254.8862816964218.11371830425
21202925202490.524418802434.475581198463
22215147204514.9319497410632.0680502597
23344297242555.094516349101741.905483651
24153935116825.9906879937109.0093120098
25132943167265.639766101-34322.6397661009
26174724271446.578324745-96722.5783247455
27174415228283.060829135-53868.0608291348
28225548239225.611662718-13677.6116627176
29223632191844.70902839631787.2909716037
30124817134297.677843106-9480.67784310614
31221698203223.38665205718474.6133479431
32210767207763.0725694413003.92743055941
33170266169189.6254202531076.37457974749
34260561232183.03402468128377.9659753185
3584853104557.133894238-19704.1338942379
36294424268411.75128185826012.2487181416
3710101168718.97714820532292.022851795
38215641207865.7301243537775.26987564699
39325107260980.3423094564126.6576905504
4071765454.408240393841721.59175960616
41167542150847.15019423216694.8498057678
4210640870088.547411753536319.4525882465
4396560122497.590477999-25937.5904779988
44265769275001.902292232-9232.90229223218
45269651293094.839810066-23443.839810066
46149112158625.135732533-9513.13573253319
47175824219681.293597285-43857.293597285
48152871151497.5375010151373.46249898504
49111665107620.7862783184044.21372168215
50116408181721.267587928-65313.2675879283
51362301320528.36743282541772.6325671749
527880092652.3302024814-13852.3302024814
53183167199952.514879478-16785.5148794778
54277965303983.56086076-26018.5608607598
55150629205089.126502956-54460.1265029557
56168809162721.3799152086087.62008479239
572418837394.1533975653-13206.1533975653
58329267280340.07498593248926.9250140681
596502968859.9813455626-3830.98134556264
60101097108080.498194561-6983.49819456128
61218946210211.947948388734.05205161993
62244052213996.36887095930055.6311290406
63341570305154.61541244836415.3845875522
6410359794292.70761812169304.29238187841
65233328233310.71639271617.2836072841591
66256462255153.9952641481308.00473585168
67206161182629.75306664623531.2469333535
68311473301358.42087479610114.5791252036
69235800226493.3306933479306.6693066528
70177939212481.410574289-34542.410574289
71207176194279.74278710612896.2572128942
72196553148759.36923692547793.6307630746
73174184132351.18544848241832.8145515184
74143246165825.118668606-22579.1186686062
75187559219652.548269846-32093.5482698464
76187681205648.913820918-17967.9138209181
77119016157799.465032422-38783.4650324225
78182192198186.22440752-15994.2244075197
797356698658.4176306831-25092.4176306831
80194979191761.9881487533217.01185124657
81167488164346.7657186563141.23428134434
82143756179349.214680996-35593.2146809957
83275541235462.04233493740078.9576650627
84243199213984.13829874529214.8617012547
85182999163198.24783399619800.7521660042
86135649164883.296645755-29234.296645755
87152299164479.134746902-12180.1347469017
88120221138111.111607965-17890.1116079647
89346485277868.04387872768616.9561212732
90145790162432.927360502-16642.9273605025
91193339161222.95019599332116.0498040073
928095397042.5500588744-16089.5500588744
93122774151966.761871341-29192.7618713408
94130585122837.7502090717747.24979092902
9511261194150.81213395118460.187866049
96286468274093.5835050612374.4164949397
97241066212568.6108288628497.3891711395
98148446275733.515266834-127287.515266834
99204713182466.90834674822246.0916532523
100182079193328.768934456-11249.7689344557
101140344123486.34254002816857.6574599722
102220516243825.796840242-23309.796840242
103243060197832.76622865345227.2337713473
104162765150885.80104705311879.1989529467
105182613151954.58229318430658.4177068164
106232138206497.35911736425640.6408826364
107265318297033.874519276-31715.8745192755
1088557492447.3382256535-6873.33822565347
109310839282339.307349428499.6926505998
110225060224193.070618789866.929381211238
111232317216802.13068024215514.8693197583
112144966158815.974985247-13849.9749852471
1134328759172.2932460149-15885.2932460149
114155754150077.4159255375676.58407446281
115164709185344.412122876-20635.4121228757
116201940231762.628578945-29822.6285789451
117235454255379.88097177-19925.8809717705
118220801171332.98105287749468.0189471233
1199946695658.14633245413807.85366754593
12092661115417.246126939-22756.2461269391
121133328135759.095869287-2431.09586928741
12261361107010.21129648-45649.2112964796
123125930152490.626895717-26560.6268957165
124100750156461.550619579-55711.5506195794
125224549149849.0146540774699.98534593
1268231662014.272617929620301.7273820704
12710201091245.608216895510764.3917831045
128101523113657.169334349-12134.1693343491
129243511220294.25482609823216.745173902
1302293820845.75325937082092.24674062923
1314156644417.9210639509-2851.92106395094
132152474190264.889145793-37790.8891457932
1336185746818.878576519915038.1214234801
13499923160168.265632708-60245.2656327079
135132487145583.71837517-13096.7183751696
136317394260354.16944234357039.8305576573
1372105418637.9667652452416.033234755
138209641166560.5115092443080.4884907598
1392264842115.9881099042-19467.9881099042
1403141440500.1307837345-9086.13078373451
1414669870045.4069554053-23347.4069554053
142131698140335.668532836-8637.66853283615
1439173584783.98084341366951.01915658637
144244749257097.145273315-12348.1452733149
145184510176170.3395508928339.66044910816
14679863100358.713555243-20495.713555243
147128423131984.643508682-3561.64350868152
14897839109276.304947799-11437.3049477987
1493821457768.4343578338-19554.4343578338
150151101153318.432113235-2217.43211323523
151272458249222.87072012623235.1292798739
152172494155537.37196403216956.6280359682
153108043119615.665423787-11572.6654237866
154328107322151.6319840625955.36801593765
155250579235005.62110527115573.3788947286
156351067306903.73830279444163.2616972061
157158015139292.67162814718722.3283718526
1589886679117.503411680419748.4965883196
15985439108618.963005477-23179.9630054773
160229242251299.012329768-22057.012329768
161351619329853.88589499921765.1141050009
1628420797834.9178157128-13627.9178157128
163120445135607.864303231-15162.8643032315
164324598346701.918559505-22103.9185595045
165131069162173.895438741-31104.8954387408
166204271170300.81067386833970.1893261318
167165543170341.535547073-4798.53554707309
168141722124177.12708411817544.8729158824
16911604892923.619670243423124.3803297566
170250047161526.08199199688520.9180080043
171299775309451.728940302-9676.72894030197
172195838192048.0103121273789.98968787319
173173260171363.5900910761896.40990892426
174254488234968.33154772919519.6684522712
175104389195010.072643758-90621.0726437579
176136084132464.9135791283619.08642087157
177199476231357.577418821-31881.5774188212
1789249986107.50297914316391.49702085694
179224330227876.320929255-3546.32092925471
18013578199196.460785544536584.5392144555
1817440894633.6415491624-20225.6415491624
18281240135026.644158332-53786.6441583318
183146887341.735569740327346.26443025968
184181633158055.28515181223577.7148481884
185271856244402.37284634527453.6271536551
18671995296.761952584031902.23804741597
1874666047348.991599427-688.991599427021
188175473363.3478353757114183.6521646243
189133368124490.6818898148877.31811018553
1909522785614.16815748649612.83184251362
191152601119157.96198037833443.0380196218
19298146105289.541485514-7143.54148551372
1937961993399.7049171672-13780.7049171672
1945919461139.2869829363-1945.28698293634
195139942142168.263757219-2226.26375721859
196118612112638.4458685475973.55413145334
1977288096143.8746178052-23263.8746178052
1986547557051.99488158388423.00511841617
19999643130366.872160012-30723.8721600125
2007196577792.8959691265-5827.89596912652
2017727271850.95529213095421.04470786914
2024928947243.95578357932045.04421642073
203135131124200.15760852910930.8423914706
204108446103418.063232095027.9367679098
20589746120863.274592045-31117.2745920451
2064429653379.3920352793-9083.39203527928
2077764884829.2217126645-7181.22171266449
208181528139497.14566307642030.8543369239
209134019110934.14405166723084.8559483332
210124064128459.607759782-4395.60775978167
2119263079314.22862203413315.771377966
21212184894829.768351304627018.2316486954
2135291554765.0791959983-1850.07919599832
2148187283595.0369596605-1723.03695966052
2155898189070.9076586799-30089.9076586799
2165351569177.1769236414-15662.1769236414
2176081294673.5068519427-33861.5068519427
2185637549539.41908585336835.58091414673
2196549061905.61969341873584.38030658134
2208094957276.469263513123672.5307364869
2217630296262.9705236539-19960.9705236539
222104011108100.710081051-4089.71008105104
22398104145120.616447007-47016.6164470075
2246798962388.80087515265600.19912484744
2253098934010.6740948885-3021.67409488848
226135458131365.8201222084092.17987779171
2277350450387.122014411123116.8779855889
2286312391674.5504091271-28551.5504091271
2296125483525.3611895687-22271.3611895687
23074914113471.484190786-38557.4841907865
2313177446226.8999568032-14452.8999568032
2328143783599.8726242339-2162.87262423389
23387186119193.236598035-32007.2365980345
2345009055374.7964382487-5284.79643824875
2356574593153.9463657142-27408.9463657142
2365665370867.5797202248-14214.5797202248
237158399108671.54078262749727.4592173728
2384645552318.7175939476-5863.71759394761
2397362485262.8007636051-11638.8007636051
2403839561365.199853509-22970.199853509
2419189978029.361830927613869.6381690724
242139526139237.652803862288.347196138308
2435216468786.8211381375-16622.8211381375
2445156760567.1036294614-9000.10362946137
2457055172606.5322944889-2055.53229448894
2468485693836.7093061795-8980.70930617953
247102538123183.336872377-20645.3368723767
2488667867389.775037096819288.2249629033
2498570979155.84036343026553.15963656983
2503466247006.3129572462-12344.3129572462
251150580136340.3305227114239.6694772898
2529961193010.66456892886600.33543107115
253193497983.158135159711365.8418648403
25499373101480.941665946-2107.94166594646
25586230109874.608663322-23644.6086633224
2563083730161.4365847493675.563415250744
2573170643609.4241753465-11903.4241753465
2588980680510.38616147939295.61383852075
2596208849824.105191729712263.8948082703
2604015133161.45860831376989.54139168634
2612763439998.9837511689-12364.9837511689
2627699071858.49222189525131.50777810481
2633746025832.963929281511627.0360707185
2645415759905.7216426598-5748.72164265979
2654986264369.4841612599-14507.4841612599
2668433776175.4555035618161.54449643904
2676417586817.3129580873-22642.3129580873
2685938264327.0560107817-4945.05601078168
26911930874938.055607005344369.9443929947
2707670293127.3305762322-16425.3305762322
271103425106167.377971795-2742.37797179479
2727034469611.0039794274732.996020572599
2734341040983.07553638862426.9244636114
274104838100590.197273954247.80272604981
2756221550571.433948495711643.5660515043
2766930484291.9696380022-14987.9696380022
2775311736520.589649627716596.4103503723
278197649645.9975994314710118.0024005685
2798668090668.0110449358-3988.01104493583
2808410571706.931747602712398.0682523973
2817794584024.157485325-6079.15748532496
2828911372337.190856114616775.8091438854
2839100590821.4928504609183.507149539127
2844024828116.020568358412131.9794316416
2856418764543.2704630049-356.270463004943
2865085751335.0743251108-478.074325110835
2875661353826.3939133352786.60608666498
2886279263073.5943218874-281.594321887429
2897253573909.0852090178-1374.08520901778

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 210907 & 144088.145483 & 66818.8545169999 \tabularnewline
2 & 120982 & 121826.918015758 & -844.918015757687 \tabularnewline
3 & 176508 & 162959.31569119 & 13548.6843088102 \tabularnewline
4 & 179321 & 256198.678866046 & -76877.6788660458 \tabularnewline
5 & 123185 & 89490.491369937 & 33694.508630063 \tabularnewline
6 & 52746 & 55729.1817678858 & -2983.18176788583 \tabularnewline
7 & 385534 & 353917.653712883 & 31616.3462871173 \tabularnewline
8 & 33170 & 30366.2946777572 & 2803.70532224279 \tabularnewline
9 & 101645 & 89177.4096283566 & 12467.5903716434 \tabularnewline
10 & 149061 & 161959.03412514 & -12898.0341251403 \tabularnewline
11 & 165446 & 141019.59854806 & 24426.4014519403 \tabularnewline
12 & 237213 & 209079.58804537 & 28133.4119546301 \tabularnewline
13 & 173326 & 192400.634593493 & -19074.6345934927 \tabularnewline
14 & 133131 & 143637.944480408 & -10506.9444804076 \tabularnewline
15 & 258873 & 245063.621230909 & 13809.3787690912 \tabularnewline
16 & 180083 & 151973.969723215 & 28109.0302767845 \tabularnewline
17 & 324799 & 405061.268876748 & -80262.2688767485 \tabularnewline
18 & 230964 & 193961.184190075 & 37002.8158099253 \tabularnewline
19 & 236785 & 231134.865689637 & 5650.13431036342 \tabularnewline
20 & 135473 & 131254.886281696 & 4218.11371830425 \tabularnewline
21 & 202925 & 202490.524418802 & 434.475581198463 \tabularnewline
22 & 215147 & 204514.93194974 & 10632.0680502597 \tabularnewline
23 & 344297 & 242555.094516349 & 101741.905483651 \tabularnewline
24 & 153935 & 116825.99068799 & 37109.0093120098 \tabularnewline
25 & 132943 & 167265.639766101 & -34322.6397661009 \tabularnewline
26 & 174724 & 271446.578324745 & -96722.5783247455 \tabularnewline
27 & 174415 & 228283.060829135 & -53868.0608291348 \tabularnewline
28 & 225548 & 239225.611662718 & -13677.6116627176 \tabularnewline
29 & 223632 & 191844.709028396 & 31787.2909716037 \tabularnewline
30 & 124817 & 134297.677843106 & -9480.67784310614 \tabularnewline
31 & 221698 & 203223.386652057 & 18474.6133479431 \tabularnewline
32 & 210767 & 207763.072569441 & 3003.92743055941 \tabularnewline
33 & 170266 & 169189.625420253 & 1076.37457974749 \tabularnewline
34 & 260561 & 232183.034024681 & 28377.9659753185 \tabularnewline
35 & 84853 & 104557.133894238 & -19704.1338942379 \tabularnewline
36 & 294424 & 268411.751281858 & 26012.2487181416 \tabularnewline
37 & 101011 & 68718.977148205 & 32292.022851795 \tabularnewline
38 & 215641 & 207865.730124353 & 7775.26987564699 \tabularnewline
39 & 325107 & 260980.34230945 & 64126.6576905504 \tabularnewline
40 & 7176 & 5454.40824039384 & 1721.59175960616 \tabularnewline
41 & 167542 & 150847.150194232 & 16694.8498057678 \tabularnewline
42 & 106408 & 70088.5474117535 & 36319.4525882465 \tabularnewline
43 & 96560 & 122497.590477999 & -25937.5904779988 \tabularnewline
44 & 265769 & 275001.902292232 & -9232.90229223218 \tabularnewline
45 & 269651 & 293094.839810066 & -23443.839810066 \tabularnewline
46 & 149112 & 158625.135732533 & -9513.13573253319 \tabularnewline
47 & 175824 & 219681.293597285 & -43857.293597285 \tabularnewline
48 & 152871 & 151497.537501015 & 1373.46249898504 \tabularnewline
49 & 111665 & 107620.786278318 & 4044.21372168215 \tabularnewline
50 & 116408 & 181721.267587928 & -65313.2675879283 \tabularnewline
51 & 362301 & 320528.367432825 & 41772.6325671749 \tabularnewline
52 & 78800 & 92652.3302024814 & -13852.3302024814 \tabularnewline
53 & 183167 & 199952.514879478 & -16785.5148794778 \tabularnewline
54 & 277965 & 303983.56086076 & -26018.5608607598 \tabularnewline
55 & 150629 & 205089.126502956 & -54460.1265029557 \tabularnewline
56 & 168809 & 162721.379915208 & 6087.62008479239 \tabularnewline
57 & 24188 & 37394.1533975653 & -13206.1533975653 \tabularnewline
58 & 329267 & 280340.074985932 & 48926.9250140681 \tabularnewline
59 & 65029 & 68859.9813455626 & -3830.98134556264 \tabularnewline
60 & 101097 & 108080.498194561 & -6983.49819456128 \tabularnewline
61 & 218946 & 210211.94794838 & 8734.05205161993 \tabularnewline
62 & 244052 & 213996.368870959 & 30055.6311290406 \tabularnewline
63 & 341570 & 305154.615412448 & 36415.3845875522 \tabularnewline
64 & 103597 & 94292.7076181216 & 9304.29238187841 \tabularnewline
65 & 233328 & 233310.716392716 & 17.2836072841591 \tabularnewline
66 & 256462 & 255153.995264148 & 1308.00473585168 \tabularnewline
67 & 206161 & 182629.753066646 & 23531.2469333535 \tabularnewline
68 & 311473 & 301358.420874796 & 10114.5791252036 \tabularnewline
69 & 235800 & 226493.330693347 & 9306.6693066528 \tabularnewline
70 & 177939 & 212481.410574289 & -34542.410574289 \tabularnewline
71 & 207176 & 194279.742787106 & 12896.2572128942 \tabularnewline
72 & 196553 & 148759.369236925 & 47793.6307630746 \tabularnewline
73 & 174184 & 132351.185448482 & 41832.8145515184 \tabularnewline
74 & 143246 & 165825.118668606 & -22579.1186686062 \tabularnewline
75 & 187559 & 219652.548269846 & -32093.5482698464 \tabularnewline
76 & 187681 & 205648.913820918 & -17967.9138209181 \tabularnewline
77 & 119016 & 157799.465032422 & -38783.4650324225 \tabularnewline
78 & 182192 & 198186.22440752 & -15994.2244075197 \tabularnewline
79 & 73566 & 98658.4176306831 & -25092.4176306831 \tabularnewline
80 & 194979 & 191761.988148753 & 3217.01185124657 \tabularnewline
81 & 167488 & 164346.765718656 & 3141.23428134434 \tabularnewline
82 & 143756 & 179349.214680996 & -35593.2146809957 \tabularnewline
83 & 275541 & 235462.042334937 & 40078.9576650627 \tabularnewline
84 & 243199 & 213984.138298745 & 29214.8617012547 \tabularnewline
85 & 182999 & 163198.247833996 & 19800.7521660042 \tabularnewline
86 & 135649 & 164883.296645755 & -29234.296645755 \tabularnewline
87 & 152299 & 164479.134746902 & -12180.1347469017 \tabularnewline
88 & 120221 & 138111.111607965 & -17890.1116079647 \tabularnewline
89 & 346485 & 277868.043878727 & 68616.9561212732 \tabularnewline
90 & 145790 & 162432.927360502 & -16642.9273605025 \tabularnewline
91 & 193339 & 161222.950195993 & 32116.0498040073 \tabularnewline
92 & 80953 & 97042.5500588744 & -16089.5500588744 \tabularnewline
93 & 122774 & 151966.761871341 & -29192.7618713408 \tabularnewline
94 & 130585 & 122837.750209071 & 7747.24979092902 \tabularnewline
95 & 112611 & 94150.812133951 & 18460.187866049 \tabularnewline
96 & 286468 & 274093.58350506 & 12374.4164949397 \tabularnewline
97 & 241066 & 212568.61082886 & 28497.3891711395 \tabularnewline
98 & 148446 & 275733.515266834 & -127287.515266834 \tabularnewline
99 & 204713 & 182466.908346748 & 22246.0916532523 \tabularnewline
100 & 182079 & 193328.768934456 & -11249.7689344557 \tabularnewline
101 & 140344 & 123486.342540028 & 16857.6574599722 \tabularnewline
102 & 220516 & 243825.796840242 & -23309.796840242 \tabularnewline
103 & 243060 & 197832.766228653 & 45227.2337713473 \tabularnewline
104 & 162765 & 150885.801047053 & 11879.1989529467 \tabularnewline
105 & 182613 & 151954.582293184 & 30658.4177068164 \tabularnewline
106 & 232138 & 206497.359117364 & 25640.6408826364 \tabularnewline
107 & 265318 & 297033.874519276 & -31715.8745192755 \tabularnewline
108 & 85574 & 92447.3382256535 & -6873.33822565347 \tabularnewline
109 & 310839 & 282339.3073494 & 28499.6926505998 \tabularnewline
110 & 225060 & 224193.070618789 & 866.929381211238 \tabularnewline
111 & 232317 & 216802.130680242 & 15514.8693197583 \tabularnewline
112 & 144966 & 158815.974985247 & -13849.9749852471 \tabularnewline
113 & 43287 & 59172.2932460149 & -15885.2932460149 \tabularnewline
114 & 155754 & 150077.415925537 & 5676.58407446281 \tabularnewline
115 & 164709 & 185344.412122876 & -20635.4121228757 \tabularnewline
116 & 201940 & 231762.628578945 & -29822.6285789451 \tabularnewline
117 & 235454 & 255379.88097177 & -19925.8809717705 \tabularnewline
118 & 220801 & 171332.981052877 & 49468.0189471233 \tabularnewline
119 & 99466 & 95658.1463324541 & 3807.85366754593 \tabularnewline
120 & 92661 & 115417.246126939 & -22756.2461269391 \tabularnewline
121 & 133328 & 135759.095869287 & -2431.09586928741 \tabularnewline
122 & 61361 & 107010.21129648 & -45649.2112964796 \tabularnewline
123 & 125930 & 152490.626895717 & -26560.6268957165 \tabularnewline
124 & 100750 & 156461.550619579 & -55711.5506195794 \tabularnewline
125 & 224549 & 149849.01465407 & 74699.98534593 \tabularnewline
126 & 82316 & 62014.2726179296 & 20301.7273820704 \tabularnewline
127 & 102010 & 91245.6082168955 & 10764.3917831045 \tabularnewline
128 & 101523 & 113657.169334349 & -12134.1693343491 \tabularnewline
129 & 243511 & 220294.254826098 & 23216.745173902 \tabularnewline
130 & 22938 & 20845.7532593708 & 2092.24674062923 \tabularnewline
131 & 41566 & 44417.9210639509 & -2851.92106395094 \tabularnewline
132 & 152474 & 190264.889145793 & -37790.8891457932 \tabularnewline
133 & 61857 & 46818.8785765199 & 15038.1214234801 \tabularnewline
134 & 99923 & 160168.265632708 & -60245.2656327079 \tabularnewline
135 & 132487 & 145583.71837517 & -13096.7183751696 \tabularnewline
136 & 317394 & 260354.169442343 & 57039.8305576573 \tabularnewline
137 & 21054 & 18637.966765245 & 2416.033234755 \tabularnewline
138 & 209641 & 166560.51150924 & 43080.4884907598 \tabularnewline
139 & 22648 & 42115.9881099042 & -19467.9881099042 \tabularnewline
140 & 31414 & 40500.1307837345 & -9086.13078373451 \tabularnewline
141 & 46698 & 70045.4069554053 & -23347.4069554053 \tabularnewline
142 & 131698 & 140335.668532836 & -8637.66853283615 \tabularnewline
143 & 91735 & 84783.9808434136 & 6951.01915658637 \tabularnewline
144 & 244749 & 257097.145273315 & -12348.1452733149 \tabularnewline
145 & 184510 & 176170.339550892 & 8339.66044910816 \tabularnewline
146 & 79863 & 100358.713555243 & -20495.713555243 \tabularnewline
147 & 128423 & 131984.643508682 & -3561.64350868152 \tabularnewline
148 & 97839 & 109276.304947799 & -11437.3049477987 \tabularnewline
149 & 38214 & 57768.4343578338 & -19554.4343578338 \tabularnewline
150 & 151101 & 153318.432113235 & -2217.43211323523 \tabularnewline
151 & 272458 & 249222.870720126 & 23235.1292798739 \tabularnewline
152 & 172494 & 155537.371964032 & 16956.6280359682 \tabularnewline
153 & 108043 & 119615.665423787 & -11572.6654237866 \tabularnewline
154 & 328107 & 322151.631984062 & 5955.36801593765 \tabularnewline
155 & 250579 & 235005.621105271 & 15573.3788947286 \tabularnewline
156 & 351067 & 306903.738302794 & 44163.2616972061 \tabularnewline
157 & 158015 & 139292.671628147 & 18722.3283718526 \tabularnewline
158 & 98866 & 79117.5034116804 & 19748.4965883196 \tabularnewline
159 & 85439 & 108618.963005477 & -23179.9630054773 \tabularnewline
160 & 229242 & 251299.012329768 & -22057.012329768 \tabularnewline
161 & 351619 & 329853.885894999 & 21765.1141050009 \tabularnewline
162 & 84207 & 97834.9178157128 & -13627.9178157128 \tabularnewline
163 & 120445 & 135607.864303231 & -15162.8643032315 \tabularnewline
164 & 324598 & 346701.918559505 & -22103.9185595045 \tabularnewline
165 & 131069 & 162173.895438741 & -31104.8954387408 \tabularnewline
166 & 204271 & 170300.810673868 & 33970.1893261318 \tabularnewline
167 & 165543 & 170341.535547073 & -4798.53554707309 \tabularnewline
168 & 141722 & 124177.127084118 & 17544.8729158824 \tabularnewline
169 & 116048 & 92923.6196702434 & 23124.3803297566 \tabularnewline
170 & 250047 & 161526.081991996 & 88520.9180080043 \tabularnewline
171 & 299775 & 309451.728940302 & -9676.72894030197 \tabularnewline
172 & 195838 & 192048.010312127 & 3789.98968787319 \tabularnewline
173 & 173260 & 171363.590091076 & 1896.40990892426 \tabularnewline
174 & 254488 & 234968.331547729 & 19519.6684522712 \tabularnewline
175 & 104389 & 195010.072643758 & -90621.0726437579 \tabularnewline
176 & 136084 & 132464.913579128 & 3619.08642087157 \tabularnewline
177 & 199476 & 231357.577418821 & -31881.5774188212 \tabularnewline
178 & 92499 & 86107.5029791431 & 6391.49702085694 \tabularnewline
179 & 224330 & 227876.320929255 & -3546.32092925471 \tabularnewline
180 & 135781 & 99196.4607855445 & 36584.5392144555 \tabularnewline
181 & 74408 & 94633.6415491624 & -20225.6415491624 \tabularnewline
182 & 81240 & 135026.644158332 & -53786.6441583318 \tabularnewline
183 & 14688 & 7341.73556974032 & 7346.26443025968 \tabularnewline
184 & 181633 & 158055.285151812 & 23577.7148481884 \tabularnewline
185 & 271856 & 244402.372846345 & 27453.6271536551 \tabularnewline
186 & 7199 & 5296.76195258403 & 1902.23804741597 \tabularnewline
187 & 46660 & 47348.991599427 & -688.991599427021 \tabularnewline
188 & 17547 & 3363.34783537571 & 14183.6521646243 \tabularnewline
189 & 133368 & 124490.681889814 & 8877.31811018553 \tabularnewline
190 & 95227 & 85614.1681574864 & 9612.83184251362 \tabularnewline
191 & 152601 & 119157.961980378 & 33443.0380196218 \tabularnewline
192 & 98146 & 105289.541485514 & -7143.54148551372 \tabularnewline
193 & 79619 & 93399.7049171672 & -13780.7049171672 \tabularnewline
194 & 59194 & 61139.2869829363 & -1945.28698293634 \tabularnewline
195 & 139942 & 142168.263757219 & -2226.26375721859 \tabularnewline
196 & 118612 & 112638.445868547 & 5973.55413145334 \tabularnewline
197 & 72880 & 96143.8746178052 & -23263.8746178052 \tabularnewline
198 & 65475 & 57051.9948815838 & 8423.00511841617 \tabularnewline
199 & 99643 & 130366.872160012 & -30723.8721600125 \tabularnewline
200 & 71965 & 77792.8959691265 & -5827.89596912652 \tabularnewline
201 & 77272 & 71850.9552921309 & 5421.04470786914 \tabularnewline
202 & 49289 & 47243.9557835793 & 2045.04421642073 \tabularnewline
203 & 135131 & 124200.157608529 & 10930.8423914706 \tabularnewline
204 & 108446 & 103418.06323209 & 5027.9367679098 \tabularnewline
205 & 89746 & 120863.274592045 & -31117.2745920451 \tabularnewline
206 & 44296 & 53379.3920352793 & -9083.39203527928 \tabularnewline
207 & 77648 & 84829.2217126645 & -7181.22171266449 \tabularnewline
208 & 181528 & 139497.145663076 & 42030.8543369239 \tabularnewline
209 & 134019 & 110934.144051667 & 23084.8559483332 \tabularnewline
210 & 124064 & 128459.607759782 & -4395.60775978167 \tabularnewline
211 & 92630 & 79314.228622034 & 13315.771377966 \tabularnewline
212 & 121848 & 94829.7683513046 & 27018.2316486954 \tabularnewline
213 & 52915 & 54765.0791959983 & -1850.07919599832 \tabularnewline
214 & 81872 & 83595.0369596605 & -1723.03695966052 \tabularnewline
215 & 58981 & 89070.9076586799 & -30089.9076586799 \tabularnewline
216 & 53515 & 69177.1769236414 & -15662.1769236414 \tabularnewline
217 & 60812 & 94673.5068519427 & -33861.5068519427 \tabularnewline
218 & 56375 & 49539.4190858533 & 6835.58091414673 \tabularnewline
219 & 65490 & 61905.6196934187 & 3584.38030658134 \tabularnewline
220 & 80949 & 57276.4692635131 & 23672.5307364869 \tabularnewline
221 & 76302 & 96262.9705236539 & -19960.9705236539 \tabularnewline
222 & 104011 & 108100.710081051 & -4089.71008105104 \tabularnewline
223 & 98104 & 145120.616447007 & -47016.6164470075 \tabularnewline
224 & 67989 & 62388.8008751526 & 5600.19912484744 \tabularnewline
225 & 30989 & 34010.6740948885 & -3021.67409488848 \tabularnewline
226 & 135458 & 131365.820122208 & 4092.17987779171 \tabularnewline
227 & 73504 & 50387.1220144111 & 23116.8779855889 \tabularnewline
228 & 63123 & 91674.5504091271 & -28551.5504091271 \tabularnewline
229 & 61254 & 83525.3611895687 & -22271.3611895687 \tabularnewline
230 & 74914 & 113471.484190786 & -38557.4841907865 \tabularnewline
231 & 31774 & 46226.8999568032 & -14452.8999568032 \tabularnewline
232 & 81437 & 83599.8726242339 & -2162.87262423389 \tabularnewline
233 & 87186 & 119193.236598035 & -32007.2365980345 \tabularnewline
234 & 50090 & 55374.7964382487 & -5284.79643824875 \tabularnewline
235 & 65745 & 93153.9463657142 & -27408.9463657142 \tabularnewline
236 & 56653 & 70867.5797202248 & -14214.5797202248 \tabularnewline
237 & 158399 & 108671.540782627 & 49727.4592173728 \tabularnewline
238 & 46455 & 52318.7175939476 & -5863.71759394761 \tabularnewline
239 & 73624 & 85262.8007636051 & -11638.8007636051 \tabularnewline
240 & 38395 & 61365.199853509 & -22970.199853509 \tabularnewline
241 & 91899 & 78029.3618309276 & 13869.6381690724 \tabularnewline
242 & 139526 & 139237.652803862 & 288.347196138308 \tabularnewline
243 & 52164 & 68786.8211381375 & -16622.8211381375 \tabularnewline
244 & 51567 & 60567.1036294614 & -9000.10362946137 \tabularnewline
245 & 70551 & 72606.5322944889 & -2055.53229448894 \tabularnewline
246 & 84856 & 93836.7093061795 & -8980.70930617953 \tabularnewline
247 & 102538 & 123183.336872377 & -20645.3368723767 \tabularnewline
248 & 86678 & 67389.7750370968 & 19288.2249629033 \tabularnewline
249 & 85709 & 79155.8403634302 & 6553.15963656983 \tabularnewline
250 & 34662 & 47006.3129572462 & -12344.3129572462 \tabularnewline
251 & 150580 & 136340.33052271 & 14239.6694772898 \tabularnewline
252 & 99611 & 93010.6645689288 & 6600.33543107115 \tabularnewline
253 & 19349 & 7983.1581351597 & 11365.8418648403 \tabularnewline
254 & 99373 & 101480.941665946 & -2107.94166594646 \tabularnewline
255 & 86230 & 109874.608663322 & -23644.6086633224 \tabularnewline
256 & 30837 & 30161.4365847493 & 675.563415250744 \tabularnewline
257 & 31706 & 43609.4241753465 & -11903.4241753465 \tabularnewline
258 & 89806 & 80510.3861614793 & 9295.61383852075 \tabularnewline
259 & 62088 & 49824.1051917297 & 12263.8948082703 \tabularnewline
260 & 40151 & 33161.4586083137 & 6989.54139168634 \tabularnewline
261 & 27634 & 39998.9837511689 & -12364.9837511689 \tabularnewline
262 & 76990 & 71858.4922218952 & 5131.50777810481 \tabularnewline
263 & 37460 & 25832.9639292815 & 11627.0360707185 \tabularnewline
264 & 54157 & 59905.7216426598 & -5748.72164265979 \tabularnewline
265 & 49862 & 64369.4841612599 & -14507.4841612599 \tabularnewline
266 & 84337 & 76175.455503561 & 8161.54449643904 \tabularnewline
267 & 64175 & 86817.3129580873 & -22642.3129580873 \tabularnewline
268 & 59382 & 64327.0560107817 & -4945.05601078168 \tabularnewline
269 & 119308 & 74938.0556070053 & 44369.9443929947 \tabularnewline
270 & 76702 & 93127.3305762322 & -16425.3305762322 \tabularnewline
271 & 103425 & 106167.377971795 & -2742.37797179479 \tabularnewline
272 & 70344 & 69611.0039794274 & 732.996020572599 \tabularnewline
273 & 43410 & 40983.0755363886 & 2426.9244636114 \tabularnewline
274 & 104838 & 100590.19727395 & 4247.80272604981 \tabularnewline
275 & 62215 & 50571.4339484957 & 11643.5660515043 \tabularnewline
276 & 69304 & 84291.9696380022 & -14987.9696380022 \tabularnewline
277 & 53117 & 36520.5896496277 & 16596.4103503723 \tabularnewline
278 & 19764 & 9645.99759943147 & 10118.0024005685 \tabularnewline
279 & 86680 & 90668.0110449358 & -3988.01104493583 \tabularnewline
280 & 84105 & 71706.9317476027 & 12398.0682523973 \tabularnewline
281 & 77945 & 84024.157485325 & -6079.15748532496 \tabularnewline
282 & 89113 & 72337.1908561146 & 16775.8091438854 \tabularnewline
283 & 91005 & 90821.4928504609 & 183.507149539127 \tabularnewline
284 & 40248 & 28116.0205683584 & 12131.9794316416 \tabularnewline
285 & 64187 & 64543.2704630049 & -356.270463004943 \tabularnewline
286 & 50857 & 51335.0743251108 & -478.074325110835 \tabularnewline
287 & 56613 & 53826.393913335 & 2786.60608666498 \tabularnewline
288 & 62792 & 63073.5943218874 & -281.594321887429 \tabularnewline
289 & 72535 & 73909.0852090178 & -1374.08520901778 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201521&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]144088.145483[/C][C]66818.8545169999[/C][/ROW]
[ROW][C]2[/C][C]120982[/C][C]121826.918015758[/C][C]-844.918015757687[/C][/ROW]
[ROW][C]3[/C][C]176508[/C][C]162959.31569119[/C][C]13548.6843088102[/C][/ROW]
[ROW][C]4[/C][C]179321[/C][C]256198.678866046[/C][C]-76877.6788660458[/C][/ROW]
[ROW][C]5[/C][C]123185[/C][C]89490.491369937[/C][C]33694.508630063[/C][/ROW]
[ROW][C]6[/C][C]52746[/C][C]55729.1817678858[/C][C]-2983.18176788583[/C][/ROW]
[ROW][C]7[/C][C]385534[/C][C]353917.653712883[/C][C]31616.3462871173[/C][/ROW]
[ROW][C]8[/C][C]33170[/C][C]30366.2946777572[/C][C]2803.70532224279[/C][/ROW]
[ROW][C]9[/C][C]101645[/C][C]89177.4096283566[/C][C]12467.5903716434[/C][/ROW]
[ROW][C]10[/C][C]149061[/C][C]161959.03412514[/C][C]-12898.0341251403[/C][/ROW]
[ROW][C]11[/C][C]165446[/C][C]141019.59854806[/C][C]24426.4014519403[/C][/ROW]
[ROW][C]12[/C][C]237213[/C][C]209079.58804537[/C][C]28133.4119546301[/C][/ROW]
[ROW][C]13[/C][C]173326[/C][C]192400.634593493[/C][C]-19074.6345934927[/C][/ROW]
[ROW][C]14[/C][C]133131[/C][C]143637.944480408[/C][C]-10506.9444804076[/C][/ROW]
[ROW][C]15[/C][C]258873[/C][C]245063.621230909[/C][C]13809.3787690912[/C][/ROW]
[ROW][C]16[/C][C]180083[/C][C]151973.969723215[/C][C]28109.0302767845[/C][/ROW]
[ROW][C]17[/C][C]324799[/C][C]405061.268876748[/C][C]-80262.2688767485[/C][/ROW]
[ROW][C]18[/C][C]230964[/C][C]193961.184190075[/C][C]37002.8158099253[/C][/ROW]
[ROW][C]19[/C][C]236785[/C][C]231134.865689637[/C][C]5650.13431036342[/C][/ROW]
[ROW][C]20[/C][C]135473[/C][C]131254.886281696[/C][C]4218.11371830425[/C][/ROW]
[ROW][C]21[/C][C]202925[/C][C]202490.524418802[/C][C]434.475581198463[/C][/ROW]
[ROW][C]22[/C][C]215147[/C][C]204514.93194974[/C][C]10632.0680502597[/C][/ROW]
[ROW][C]23[/C][C]344297[/C][C]242555.094516349[/C][C]101741.905483651[/C][/ROW]
[ROW][C]24[/C][C]153935[/C][C]116825.99068799[/C][C]37109.0093120098[/C][/ROW]
[ROW][C]25[/C][C]132943[/C][C]167265.639766101[/C][C]-34322.6397661009[/C][/ROW]
[ROW][C]26[/C][C]174724[/C][C]271446.578324745[/C][C]-96722.5783247455[/C][/ROW]
[ROW][C]27[/C][C]174415[/C][C]228283.060829135[/C][C]-53868.0608291348[/C][/ROW]
[ROW][C]28[/C][C]225548[/C][C]239225.611662718[/C][C]-13677.6116627176[/C][/ROW]
[ROW][C]29[/C][C]223632[/C][C]191844.709028396[/C][C]31787.2909716037[/C][/ROW]
[ROW][C]30[/C][C]124817[/C][C]134297.677843106[/C][C]-9480.67784310614[/C][/ROW]
[ROW][C]31[/C][C]221698[/C][C]203223.386652057[/C][C]18474.6133479431[/C][/ROW]
[ROW][C]32[/C][C]210767[/C][C]207763.072569441[/C][C]3003.92743055941[/C][/ROW]
[ROW][C]33[/C][C]170266[/C][C]169189.625420253[/C][C]1076.37457974749[/C][/ROW]
[ROW][C]34[/C][C]260561[/C][C]232183.034024681[/C][C]28377.9659753185[/C][/ROW]
[ROW][C]35[/C][C]84853[/C][C]104557.133894238[/C][C]-19704.1338942379[/C][/ROW]
[ROW][C]36[/C][C]294424[/C][C]268411.751281858[/C][C]26012.2487181416[/C][/ROW]
[ROW][C]37[/C][C]101011[/C][C]68718.977148205[/C][C]32292.022851795[/C][/ROW]
[ROW][C]38[/C][C]215641[/C][C]207865.730124353[/C][C]7775.26987564699[/C][/ROW]
[ROW][C]39[/C][C]325107[/C][C]260980.34230945[/C][C]64126.6576905504[/C][/ROW]
[ROW][C]40[/C][C]7176[/C][C]5454.40824039384[/C][C]1721.59175960616[/C][/ROW]
[ROW][C]41[/C][C]167542[/C][C]150847.150194232[/C][C]16694.8498057678[/C][/ROW]
[ROW][C]42[/C][C]106408[/C][C]70088.5474117535[/C][C]36319.4525882465[/C][/ROW]
[ROW][C]43[/C][C]96560[/C][C]122497.590477999[/C][C]-25937.5904779988[/C][/ROW]
[ROW][C]44[/C][C]265769[/C][C]275001.902292232[/C][C]-9232.90229223218[/C][/ROW]
[ROW][C]45[/C][C]269651[/C][C]293094.839810066[/C][C]-23443.839810066[/C][/ROW]
[ROW][C]46[/C][C]149112[/C][C]158625.135732533[/C][C]-9513.13573253319[/C][/ROW]
[ROW][C]47[/C][C]175824[/C][C]219681.293597285[/C][C]-43857.293597285[/C][/ROW]
[ROW][C]48[/C][C]152871[/C][C]151497.537501015[/C][C]1373.46249898504[/C][/ROW]
[ROW][C]49[/C][C]111665[/C][C]107620.786278318[/C][C]4044.21372168215[/C][/ROW]
[ROW][C]50[/C][C]116408[/C][C]181721.267587928[/C][C]-65313.2675879283[/C][/ROW]
[ROW][C]51[/C][C]362301[/C][C]320528.367432825[/C][C]41772.6325671749[/C][/ROW]
[ROW][C]52[/C][C]78800[/C][C]92652.3302024814[/C][C]-13852.3302024814[/C][/ROW]
[ROW][C]53[/C][C]183167[/C][C]199952.514879478[/C][C]-16785.5148794778[/C][/ROW]
[ROW][C]54[/C][C]277965[/C][C]303983.56086076[/C][C]-26018.5608607598[/C][/ROW]
[ROW][C]55[/C][C]150629[/C][C]205089.126502956[/C][C]-54460.1265029557[/C][/ROW]
[ROW][C]56[/C][C]168809[/C][C]162721.379915208[/C][C]6087.62008479239[/C][/ROW]
[ROW][C]57[/C][C]24188[/C][C]37394.1533975653[/C][C]-13206.1533975653[/C][/ROW]
[ROW][C]58[/C][C]329267[/C][C]280340.074985932[/C][C]48926.9250140681[/C][/ROW]
[ROW][C]59[/C][C]65029[/C][C]68859.9813455626[/C][C]-3830.98134556264[/C][/ROW]
[ROW][C]60[/C][C]101097[/C][C]108080.498194561[/C][C]-6983.49819456128[/C][/ROW]
[ROW][C]61[/C][C]218946[/C][C]210211.94794838[/C][C]8734.05205161993[/C][/ROW]
[ROW][C]62[/C][C]244052[/C][C]213996.368870959[/C][C]30055.6311290406[/C][/ROW]
[ROW][C]63[/C][C]341570[/C][C]305154.615412448[/C][C]36415.3845875522[/C][/ROW]
[ROW][C]64[/C][C]103597[/C][C]94292.7076181216[/C][C]9304.29238187841[/C][/ROW]
[ROW][C]65[/C][C]233328[/C][C]233310.716392716[/C][C]17.2836072841591[/C][/ROW]
[ROW][C]66[/C][C]256462[/C][C]255153.995264148[/C][C]1308.00473585168[/C][/ROW]
[ROW][C]67[/C][C]206161[/C][C]182629.753066646[/C][C]23531.2469333535[/C][/ROW]
[ROW][C]68[/C][C]311473[/C][C]301358.420874796[/C][C]10114.5791252036[/C][/ROW]
[ROW][C]69[/C][C]235800[/C][C]226493.330693347[/C][C]9306.6693066528[/C][/ROW]
[ROW][C]70[/C][C]177939[/C][C]212481.410574289[/C][C]-34542.410574289[/C][/ROW]
[ROW][C]71[/C][C]207176[/C][C]194279.742787106[/C][C]12896.2572128942[/C][/ROW]
[ROW][C]72[/C][C]196553[/C][C]148759.369236925[/C][C]47793.6307630746[/C][/ROW]
[ROW][C]73[/C][C]174184[/C][C]132351.185448482[/C][C]41832.8145515184[/C][/ROW]
[ROW][C]74[/C][C]143246[/C][C]165825.118668606[/C][C]-22579.1186686062[/C][/ROW]
[ROW][C]75[/C][C]187559[/C][C]219652.548269846[/C][C]-32093.5482698464[/C][/ROW]
[ROW][C]76[/C][C]187681[/C][C]205648.913820918[/C][C]-17967.9138209181[/C][/ROW]
[ROW][C]77[/C][C]119016[/C][C]157799.465032422[/C][C]-38783.4650324225[/C][/ROW]
[ROW][C]78[/C][C]182192[/C][C]198186.22440752[/C][C]-15994.2244075197[/C][/ROW]
[ROW][C]79[/C][C]73566[/C][C]98658.4176306831[/C][C]-25092.4176306831[/C][/ROW]
[ROW][C]80[/C][C]194979[/C][C]191761.988148753[/C][C]3217.01185124657[/C][/ROW]
[ROW][C]81[/C][C]167488[/C][C]164346.765718656[/C][C]3141.23428134434[/C][/ROW]
[ROW][C]82[/C][C]143756[/C][C]179349.214680996[/C][C]-35593.2146809957[/C][/ROW]
[ROW][C]83[/C][C]275541[/C][C]235462.042334937[/C][C]40078.9576650627[/C][/ROW]
[ROW][C]84[/C][C]243199[/C][C]213984.138298745[/C][C]29214.8617012547[/C][/ROW]
[ROW][C]85[/C][C]182999[/C][C]163198.247833996[/C][C]19800.7521660042[/C][/ROW]
[ROW][C]86[/C][C]135649[/C][C]164883.296645755[/C][C]-29234.296645755[/C][/ROW]
[ROW][C]87[/C][C]152299[/C][C]164479.134746902[/C][C]-12180.1347469017[/C][/ROW]
[ROW][C]88[/C][C]120221[/C][C]138111.111607965[/C][C]-17890.1116079647[/C][/ROW]
[ROW][C]89[/C][C]346485[/C][C]277868.043878727[/C][C]68616.9561212732[/C][/ROW]
[ROW][C]90[/C][C]145790[/C][C]162432.927360502[/C][C]-16642.9273605025[/C][/ROW]
[ROW][C]91[/C][C]193339[/C][C]161222.950195993[/C][C]32116.0498040073[/C][/ROW]
[ROW][C]92[/C][C]80953[/C][C]97042.5500588744[/C][C]-16089.5500588744[/C][/ROW]
[ROW][C]93[/C][C]122774[/C][C]151966.761871341[/C][C]-29192.7618713408[/C][/ROW]
[ROW][C]94[/C][C]130585[/C][C]122837.750209071[/C][C]7747.24979092902[/C][/ROW]
[ROW][C]95[/C][C]112611[/C][C]94150.812133951[/C][C]18460.187866049[/C][/ROW]
[ROW][C]96[/C][C]286468[/C][C]274093.58350506[/C][C]12374.4164949397[/C][/ROW]
[ROW][C]97[/C][C]241066[/C][C]212568.61082886[/C][C]28497.3891711395[/C][/ROW]
[ROW][C]98[/C][C]148446[/C][C]275733.515266834[/C][C]-127287.515266834[/C][/ROW]
[ROW][C]99[/C][C]204713[/C][C]182466.908346748[/C][C]22246.0916532523[/C][/ROW]
[ROW][C]100[/C][C]182079[/C][C]193328.768934456[/C][C]-11249.7689344557[/C][/ROW]
[ROW][C]101[/C][C]140344[/C][C]123486.342540028[/C][C]16857.6574599722[/C][/ROW]
[ROW][C]102[/C][C]220516[/C][C]243825.796840242[/C][C]-23309.796840242[/C][/ROW]
[ROW][C]103[/C][C]243060[/C][C]197832.766228653[/C][C]45227.2337713473[/C][/ROW]
[ROW][C]104[/C][C]162765[/C][C]150885.801047053[/C][C]11879.1989529467[/C][/ROW]
[ROW][C]105[/C][C]182613[/C][C]151954.582293184[/C][C]30658.4177068164[/C][/ROW]
[ROW][C]106[/C][C]232138[/C][C]206497.359117364[/C][C]25640.6408826364[/C][/ROW]
[ROW][C]107[/C][C]265318[/C][C]297033.874519276[/C][C]-31715.8745192755[/C][/ROW]
[ROW][C]108[/C][C]85574[/C][C]92447.3382256535[/C][C]-6873.33822565347[/C][/ROW]
[ROW][C]109[/C][C]310839[/C][C]282339.3073494[/C][C]28499.6926505998[/C][/ROW]
[ROW][C]110[/C][C]225060[/C][C]224193.070618789[/C][C]866.929381211238[/C][/ROW]
[ROW][C]111[/C][C]232317[/C][C]216802.130680242[/C][C]15514.8693197583[/C][/ROW]
[ROW][C]112[/C][C]144966[/C][C]158815.974985247[/C][C]-13849.9749852471[/C][/ROW]
[ROW][C]113[/C][C]43287[/C][C]59172.2932460149[/C][C]-15885.2932460149[/C][/ROW]
[ROW][C]114[/C][C]155754[/C][C]150077.415925537[/C][C]5676.58407446281[/C][/ROW]
[ROW][C]115[/C][C]164709[/C][C]185344.412122876[/C][C]-20635.4121228757[/C][/ROW]
[ROW][C]116[/C][C]201940[/C][C]231762.628578945[/C][C]-29822.6285789451[/C][/ROW]
[ROW][C]117[/C][C]235454[/C][C]255379.88097177[/C][C]-19925.8809717705[/C][/ROW]
[ROW][C]118[/C][C]220801[/C][C]171332.981052877[/C][C]49468.0189471233[/C][/ROW]
[ROW][C]119[/C][C]99466[/C][C]95658.1463324541[/C][C]3807.85366754593[/C][/ROW]
[ROW][C]120[/C][C]92661[/C][C]115417.246126939[/C][C]-22756.2461269391[/C][/ROW]
[ROW][C]121[/C][C]133328[/C][C]135759.095869287[/C][C]-2431.09586928741[/C][/ROW]
[ROW][C]122[/C][C]61361[/C][C]107010.21129648[/C][C]-45649.2112964796[/C][/ROW]
[ROW][C]123[/C][C]125930[/C][C]152490.626895717[/C][C]-26560.6268957165[/C][/ROW]
[ROW][C]124[/C][C]100750[/C][C]156461.550619579[/C][C]-55711.5506195794[/C][/ROW]
[ROW][C]125[/C][C]224549[/C][C]149849.01465407[/C][C]74699.98534593[/C][/ROW]
[ROW][C]126[/C][C]82316[/C][C]62014.2726179296[/C][C]20301.7273820704[/C][/ROW]
[ROW][C]127[/C][C]102010[/C][C]91245.6082168955[/C][C]10764.3917831045[/C][/ROW]
[ROW][C]128[/C][C]101523[/C][C]113657.169334349[/C][C]-12134.1693343491[/C][/ROW]
[ROW][C]129[/C][C]243511[/C][C]220294.254826098[/C][C]23216.745173902[/C][/ROW]
[ROW][C]130[/C][C]22938[/C][C]20845.7532593708[/C][C]2092.24674062923[/C][/ROW]
[ROW][C]131[/C][C]41566[/C][C]44417.9210639509[/C][C]-2851.92106395094[/C][/ROW]
[ROW][C]132[/C][C]152474[/C][C]190264.889145793[/C][C]-37790.8891457932[/C][/ROW]
[ROW][C]133[/C][C]61857[/C][C]46818.8785765199[/C][C]15038.1214234801[/C][/ROW]
[ROW][C]134[/C][C]99923[/C][C]160168.265632708[/C][C]-60245.2656327079[/C][/ROW]
[ROW][C]135[/C][C]132487[/C][C]145583.71837517[/C][C]-13096.7183751696[/C][/ROW]
[ROW][C]136[/C][C]317394[/C][C]260354.169442343[/C][C]57039.8305576573[/C][/ROW]
[ROW][C]137[/C][C]21054[/C][C]18637.966765245[/C][C]2416.033234755[/C][/ROW]
[ROW][C]138[/C][C]209641[/C][C]166560.51150924[/C][C]43080.4884907598[/C][/ROW]
[ROW][C]139[/C][C]22648[/C][C]42115.9881099042[/C][C]-19467.9881099042[/C][/ROW]
[ROW][C]140[/C][C]31414[/C][C]40500.1307837345[/C][C]-9086.13078373451[/C][/ROW]
[ROW][C]141[/C][C]46698[/C][C]70045.4069554053[/C][C]-23347.4069554053[/C][/ROW]
[ROW][C]142[/C][C]131698[/C][C]140335.668532836[/C][C]-8637.66853283615[/C][/ROW]
[ROW][C]143[/C][C]91735[/C][C]84783.9808434136[/C][C]6951.01915658637[/C][/ROW]
[ROW][C]144[/C][C]244749[/C][C]257097.145273315[/C][C]-12348.1452733149[/C][/ROW]
[ROW][C]145[/C][C]184510[/C][C]176170.339550892[/C][C]8339.66044910816[/C][/ROW]
[ROW][C]146[/C][C]79863[/C][C]100358.713555243[/C][C]-20495.713555243[/C][/ROW]
[ROW][C]147[/C][C]128423[/C][C]131984.643508682[/C][C]-3561.64350868152[/C][/ROW]
[ROW][C]148[/C][C]97839[/C][C]109276.304947799[/C][C]-11437.3049477987[/C][/ROW]
[ROW][C]149[/C][C]38214[/C][C]57768.4343578338[/C][C]-19554.4343578338[/C][/ROW]
[ROW][C]150[/C][C]151101[/C][C]153318.432113235[/C][C]-2217.43211323523[/C][/ROW]
[ROW][C]151[/C][C]272458[/C][C]249222.870720126[/C][C]23235.1292798739[/C][/ROW]
[ROW][C]152[/C][C]172494[/C][C]155537.371964032[/C][C]16956.6280359682[/C][/ROW]
[ROW][C]153[/C][C]108043[/C][C]119615.665423787[/C][C]-11572.6654237866[/C][/ROW]
[ROW][C]154[/C][C]328107[/C][C]322151.631984062[/C][C]5955.36801593765[/C][/ROW]
[ROW][C]155[/C][C]250579[/C][C]235005.621105271[/C][C]15573.3788947286[/C][/ROW]
[ROW][C]156[/C][C]351067[/C][C]306903.738302794[/C][C]44163.2616972061[/C][/ROW]
[ROW][C]157[/C][C]158015[/C][C]139292.671628147[/C][C]18722.3283718526[/C][/ROW]
[ROW][C]158[/C][C]98866[/C][C]79117.5034116804[/C][C]19748.4965883196[/C][/ROW]
[ROW][C]159[/C][C]85439[/C][C]108618.963005477[/C][C]-23179.9630054773[/C][/ROW]
[ROW][C]160[/C][C]229242[/C][C]251299.012329768[/C][C]-22057.012329768[/C][/ROW]
[ROW][C]161[/C][C]351619[/C][C]329853.885894999[/C][C]21765.1141050009[/C][/ROW]
[ROW][C]162[/C][C]84207[/C][C]97834.9178157128[/C][C]-13627.9178157128[/C][/ROW]
[ROW][C]163[/C][C]120445[/C][C]135607.864303231[/C][C]-15162.8643032315[/C][/ROW]
[ROW][C]164[/C][C]324598[/C][C]346701.918559505[/C][C]-22103.9185595045[/C][/ROW]
[ROW][C]165[/C][C]131069[/C][C]162173.895438741[/C][C]-31104.8954387408[/C][/ROW]
[ROW][C]166[/C][C]204271[/C][C]170300.810673868[/C][C]33970.1893261318[/C][/ROW]
[ROW][C]167[/C][C]165543[/C][C]170341.535547073[/C][C]-4798.53554707309[/C][/ROW]
[ROW][C]168[/C][C]141722[/C][C]124177.127084118[/C][C]17544.8729158824[/C][/ROW]
[ROW][C]169[/C][C]116048[/C][C]92923.6196702434[/C][C]23124.3803297566[/C][/ROW]
[ROW][C]170[/C][C]250047[/C][C]161526.081991996[/C][C]88520.9180080043[/C][/ROW]
[ROW][C]171[/C][C]299775[/C][C]309451.728940302[/C][C]-9676.72894030197[/C][/ROW]
[ROW][C]172[/C][C]195838[/C][C]192048.010312127[/C][C]3789.98968787319[/C][/ROW]
[ROW][C]173[/C][C]173260[/C][C]171363.590091076[/C][C]1896.40990892426[/C][/ROW]
[ROW][C]174[/C][C]254488[/C][C]234968.331547729[/C][C]19519.6684522712[/C][/ROW]
[ROW][C]175[/C][C]104389[/C][C]195010.072643758[/C][C]-90621.0726437579[/C][/ROW]
[ROW][C]176[/C][C]136084[/C][C]132464.913579128[/C][C]3619.08642087157[/C][/ROW]
[ROW][C]177[/C][C]199476[/C][C]231357.577418821[/C][C]-31881.5774188212[/C][/ROW]
[ROW][C]178[/C][C]92499[/C][C]86107.5029791431[/C][C]6391.49702085694[/C][/ROW]
[ROW][C]179[/C][C]224330[/C][C]227876.320929255[/C][C]-3546.32092925471[/C][/ROW]
[ROW][C]180[/C][C]135781[/C][C]99196.4607855445[/C][C]36584.5392144555[/C][/ROW]
[ROW][C]181[/C][C]74408[/C][C]94633.6415491624[/C][C]-20225.6415491624[/C][/ROW]
[ROW][C]182[/C][C]81240[/C][C]135026.644158332[/C][C]-53786.6441583318[/C][/ROW]
[ROW][C]183[/C][C]14688[/C][C]7341.73556974032[/C][C]7346.26443025968[/C][/ROW]
[ROW][C]184[/C][C]181633[/C][C]158055.285151812[/C][C]23577.7148481884[/C][/ROW]
[ROW][C]185[/C][C]271856[/C][C]244402.372846345[/C][C]27453.6271536551[/C][/ROW]
[ROW][C]186[/C][C]7199[/C][C]5296.76195258403[/C][C]1902.23804741597[/C][/ROW]
[ROW][C]187[/C][C]46660[/C][C]47348.991599427[/C][C]-688.991599427021[/C][/ROW]
[ROW][C]188[/C][C]17547[/C][C]3363.34783537571[/C][C]14183.6521646243[/C][/ROW]
[ROW][C]189[/C][C]133368[/C][C]124490.681889814[/C][C]8877.31811018553[/C][/ROW]
[ROW][C]190[/C][C]95227[/C][C]85614.1681574864[/C][C]9612.83184251362[/C][/ROW]
[ROW][C]191[/C][C]152601[/C][C]119157.961980378[/C][C]33443.0380196218[/C][/ROW]
[ROW][C]192[/C][C]98146[/C][C]105289.541485514[/C][C]-7143.54148551372[/C][/ROW]
[ROW][C]193[/C][C]79619[/C][C]93399.7049171672[/C][C]-13780.7049171672[/C][/ROW]
[ROW][C]194[/C][C]59194[/C][C]61139.2869829363[/C][C]-1945.28698293634[/C][/ROW]
[ROW][C]195[/C][C]139942[/C][C]142168.263757219[/C][C]-2226.26375721859[/C][/ROW]
[ROW][C]196[/C][C]118612[/C][C]112638.445868547[/C][C]5973.55413145334[/C][/ROW]
[ROW][C]197[/C][C]72880[/C][C]96143.8746178052[/C][C]-23263.8746178052[/C][/ROW]
[ROW][C]198[/C][C]65475[/C][C]57051.9948815838[/C][C]8423.00511841617[/C][/ROW]
[ROW][C]199[/C][C]99643[/C][C]130366.872160012[/C][C]-30723.8721600125[/C][/ROW]
[ROW][C]200[/C][C]71965[/C][C]77792.8959691265[/C][C]-5827.89596912652[/C][/ROW]
[ROW][C]201[/C][C]77272[/C][C]71850.9552921309[/C][C]5421.04470786914[/C][/ROW]
[ROW][C]202[/C][C]49289[/C][C]47243.9557835793[/C][C]2045.04421642073[/C][/ROW]
[ROW][C]203[/C][C]135131[/C][C]124200.157608529[/C][C]10930.8423914706[/C][/ROW]
[ROW][C]204[/C][C]108446[/C][C]103418.06323209[/C][C]5027.9367679098[/C][/ROW]
[ROW][C]205[/C][C]89746[/C][C]120863.274592045[/C][C]-31117.2745920451[/C][/ROW]
[ROW][C]206[/C][C]44296[/C][C]53379.3920352793[/C][C]-9083.39203527928[/C][/ROW]
[ROW][C]207[/C][C]77648[/C][C]84829.2217126645[/C][C]-7181.22171266449[/C][/ROW]
[ROW][C]208[/C][C]181528[/C][C]139497.145663076[/C][C]42030.8543369239[/C][/ROW]
[ROW][C]209[/C][C]134019[/C][C]110934.144051667[/C][C]23084.8559483332[/C][/ROW]
[ROW][C]210[/C][C]124064[/C][C]128459.607759782[/C][C]-4395.60775978167[/C][/ROW]
[ROW][C]211[/C][C]92630[/C][C]79314.228622034[/C][C]13315.771377966[/C][/ROW]
[ROW][C]212[/C][C]121848[/C][C]94829.7683513046[/C][C]27018.2316486954[/C][/ROW]
[ROW][C]213[/C][C]52915[/C][C]54765.0791959983[/C][C]-1850.07919599832[/C][/ROW]
[ROW][C]214[/C][C]81872[/C][C]83595.0369596605[/C][C]-1723.03695966052[/C][/ROW]
[ROW][C]215[/C][C]58981[/C][C]89070.9076586799[/C][C]-30089.9076586799[/C][/ROW]
[ROW][C]216[/C][C]53515[/C][C]69177.1769236414[/C][C]-15662.1769236414[/C][/ROW]
[ROW][C]217[/C][C]60812[/C][C]94673.5068519427[/C][C]-33861.5068519427[/C][/ROW]
[ROW][C]218[/C][C]56375[/C][C]49539.4190858533[/C][C]6835.58091414673[/C][/ROW]
[ROW][C]219[/C][C]65490[/C][C]61905.6196934187[/C][C]3584.38030658134[/C][/ROW]
[ROW][C]220[/C][C]80949[/C][C]57276.4692635131[/C][C]23672.5307364869[/C][/ROW]
[ROW][C]221[/C][C]76302[/C][C]96262.9705236539[/C][C]-19960.9705236539[/C][/ROW]
[ROW][C]222[/C][C]104011[/C][C]108100.710081051[/C][C]-4089.71008105104[/C][/ROW]
[ROW][C]223[/C][C]98104[/C][C]145120.616447007[/C][C]-47016.6164470075[/C][/ROW]
[ROW][C]224[/C][C]67989[/C][C]62388.8008751526[/C][C]5600.19912484744[/C][/ROW]
[ROW][C]225[/C][C]30989[/C][C]34010.6740948885[/C][C]-3021.67409488848[/C][/ROW]
[ROW][C]226[/C][C]135458[/C][C]131365.820122208[/C][C]4092.17987779171[/C][/ROW]
[ROW][C]227[/C][C]73504[/C][C]50387.1220144111[/C][C]23116.8779855889[/C][/ROW]
[ROW][C]228[/C][C]63123[/C][C]91674.5504091271[/C][C]-28551.5504091271[/C][/ROW]
[ROW][C]229[/C][C]61254[/C][C]83525.3611895687[/C][C]-22271.3611895687[/C][/ROW]
[ROW][C]230[/C][C]74914[/C][C]113471.484190786[/C][C]-38557.4841907865[/C][/ROW]
[ROW][C]231[/C][C]31774[/C][C]46226.8999568032[/C][C]-14452.8999568032[/C][/ROW]
[ROW][C]232[/C][C]81437[/C][C]83599.8726242339[/C][C]-2162.87262423389[/C][/ROW]
[ROW][C]233[/C][C]87186[/C][C]119193.236598035[/C][C]-32007.2365980345[/C][/ROW]
[ROW][C]234[/C][C]50090[/C][C]55374.7964382487[/C][C]-5284.79643824875[/C][/ROW]
[ROW][C]235[/C][C]65745[/C][C]93153.9463657142[/C][C]-27408.9463657142[/C][/ROW]
[ROW][C]236[/C][C]56653[/C][C]70867.5797202248[/C][C]-14214.5797202248[/C][/ROW]
[ROW][C]237[/C][C]158399[/C][C]108671.540782627[/C][C]49727.4592173728[/C][/ROW]
[ROW][C]238[/C][C]46455[/C][C]52318.7175939476[/C][C]-5863.71759394761[/C][/ROW]
[ROW][C]239[/C][C]73624[/C][C]85262.8007636051[/C][C]-11638.8007636051[/C][/ROW]
[ROW][C]240[/C][C]38395[/C][C]61365.199853509[/C][C]-22970.199853509[/C][/ROW]
[ROW][C]241[/C][C]91899[/C][C]78029.3618309276[/C][C]13869.6381690724[/C][/ROW]
[ROW][C]242[/C][C]139526[/C][C]139237.652803862[/C][C]288.347196138308[/C][/ROW]
[ROW][C]243[/C][C]52164[/C][C]68786.8211381375[/C][C]-16622.8211381375[/C][/ROW]
[ROW][C]244[/C][C]51567[/C][C]60567.1036294614[/C][C]-9000.10362946137[/C][/ROW]
[ROW][C]245[/C][C]70551[/C][C]72606.5322944889[/C][C]-2055.53229448894[/C][/ROW]
[ROW][C]246[/C][C]84856[/C][C]93836.7093061795[/C][C]-8980.70930617953[/C][/ROW]
[ROW][C]247[/C][C]102538[/C][C]123183.336872377[/C][C]-20645.3368723767[/C][/ROW]
[ROW][C]248[/C][C]86678[/C][C]67389.7750370968[/C][C]19288.2249629033[/C][/ROW]
[ROW][C]249[/C][C]85709[/C][C]79155.8403634302[/C][C]6553.15963656983[/C][/ROW]
[ROW][C]250[/C][C]34662[/C][C]47006.3129572462[/C][C]-12344.3129572462[/C][/ROW]
[ROW][C]251[/C][C]150580[/C][C]136340.33052271[/C][C]14239.6694772898[/C][/ROW]
[ROW][C]252[/C][C]99611[/C][C]93010.6645689288[/C][C]6600.33543107115[/C][/ROW]
[ROW][C]253[/C][C]19349[/C][C]7983.1581351597[/C][C]11365.8418648403[/C][/ROW]
[ROW][C]254[/C][C]99373[/C][C]101480.941665946[/C][C]-2107.94166594646[/C][/ROW]
[ROW][C]255[/C][C]86230[/C][C]109874.608663322[/C][C]-23644.6086633224[/C][/ROW]
[ROW][C]256[/C][C]30837[/C][C]30161.4365847493[/C][C]675.563415250744[/C][/ROW]
[ROW][C]257[/C][C]31706[/C][C]43609.4241753465[/C][C]-11903.4241753465[/C][/ROW]
[ROW][C]258[/C][C]89806[/C][C]80510.3861614793[/C][C]9295.61383852075[/C][/ROW]
[ROW][C]259[/C][C]62088[/C][C]49824.1051917297[/C][C]12263.8948082703[/C][/ROW]
[ROW][C]260[/C][C]40151[/C][C]33161.4586083137[/C][C]6989.54139168634[/C][/ROW]
[ROW][C]261[/C][C]27634[/C][C]39998.9837511689[/C][C]-12364.9837511689[/C][/ROW]
[ROW][C]262[/C][C]76990[/C][C]71858.4922218952[/C][C]5131.50777810481[/C][/ROW]
[ROW][C]263[/C][C]37460[/C][C]25832.9639292815[/C][C]11627.0360707185[/C][/ROW]
[ROW][C]264[/C][C]54157[/C][C]59905.7216426598[/C][C]-5748.72164265979[/C][/ROW]
[ROW][C]265[/C][C]49862[/C][C]64369.4841612599[/C][C]-14507.4841612599[/C][/ROW]
[ROW][C]266[/C][C]84337[/C][C]76175.455503561[/C][C]8161.54449643904[/C][/ROW]
[ROW][C]267[/C][C]64175[/C][C]86817.3129580873[/C][C]-22642.3129580873[/C][/ROW]
[ROW][C]268[/C][C]59382[/C][C]64327.0560107817[/C][C]-4945.05601078168[/C][/ROW]
[ROW][C]269[/C][C]119308[/C][C]74938.0556070053[/C][C]44369.9443929947[/C][/ROW]
[ROW][C]270[/C][C]76702[/C][C]93127.3305762322[/C][C]-16425.3305762322[/C][/ROW]
[ROW][C]271[/C][C]103425[/C][C]106167.377971795[/C][C]-2742.37797179479[/C][/ROW]
[ROW][C]272[/C][C]70344[/C][C]69611.0039794274[/C][C]732.996020572599[/C][/ROW]
[ROW][C]273[/C][C]43410[/C][C]40983.0755363886[/C][C]2426.9244636114[/C][/ROW]
[ROW][C]274[/C][C]104838[/C][C]100590.19727395[/C][C]4247.80272604981[/C][/ROW]
[ROW][C]275[/C][C]62215[/C][C]50571.4339484957[/C][C]11643.5660515043[/C][/ROW]
[ROW][C]276[/C][C]69304[/C][C]84291.9696380022[/C][C]-14987.9696380022[/C][/ROW]
[ROW][C]277[/C][C]53117[/C][C]36520.5896496277[/C][C]16596.4103503723[/C][/ROW]
[ROW][C]278[/C][C]19764[/C][C]9645.99759943147[/C][C]10118.0024005685[/C][/ROW]
[ROW][C]279[/C][C]86680[/C][C]90668.0110449358[/C][C]-3988.01104493583[/C][/ROW]
[ROW][C]280[/C][C]84105[/C][C]71706.9317476027[/C][C]12398.0682523973[/C][/ROW]
[ROW][C]281[/C][C]77945[/C][C]84024.157485325[/C][C]-6079.15748532496[/C][/ROW]
[ROW][C]282[/C][C]89113[/C][C]72337.1908561146[/C][C]16775.8091438854[/C][/ROW]
[ROW][C]283[/C][C]91005[/C][C]90821.4928504609[/C][C]183.507149539127[/C][/ROW]
[ROW][C]284[/C][C]40248[/C][C]28116.0205683584[/C][C]12131.9794316416[/C][/ROW]
[ROW][C]285[/C][C]64187[/C][C]64543.2704630049[/C][C]-356.270463004943[/C][/ROW]
[ROW][C]286[/C][C]50857[/C][C]51335.0743251108[/C][C]-478.074325110835[/C][/ROW]
[ROW][C]287[/C][C]56613[/C][C]53826.393913335[/C][C]2786.60608666498[/C][/ROW]
[ROW][C]288[/C][C]62792[/C][C]63073.5943218874[/C][C]-281.594321887429[/C][/ROW]
[ROW][C]289[/C][C]72535[/C][C]73909.0852090178[/C][C]-1374.08520901778[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201521&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201521&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
1210907144088.14548366818.8545169999
2120982121826.918015758-844.918015757687
3176508162959.3156911913548.6843088102
4179321256198.678866046-76877.6788660458
512318589490.49136993733694.508630063
65274655729.1817678858-2983.18176788583
7385534353917.65371288331616.3462871173
83317030366.29467775722803.70532224279
910164589177.409628356612467.5903716434
10149061161959.03412514-12898.0341251403
11165446141019.5985480624426.4014519403
12237213209079.5880453728133.4119546301
13173326192400.634593493-19074.6345934927
14133131143637.944480408-10506.9444804076
15258873245063.62123090913809.3787690912
16180083151973.96972321528109.0302767845
17324799405061.268876748-80262.2688767485
18230964193961.18419007537002.8158099253
19236785231134.8656896375650.13431036342
20135473131254.8862816964218.11371830425
21202925202490.524418802434.475581198463
22215147204514.9319497410632.0680502597
23344297242555.094516349101741.905483651
24153935116825.9906879937109.0093120098
25132943167265.639766101-34322.6397661009
26174724271446.578324745-96722.5783247455
27174415228283.060829135-53868.0608291348
28225548239225.611662718-13677.6116627176
29223632191844.70902839631787.2909716037
30124817134297.677843106-9480.67784310614
31221698203223.38665205718474.6133479431
32210767207763.0725694413003.92743055941
33170266169189.6254202531076.37457974749
34260561232183.03402468128377.9659753185
3584853104557.133894238-19704.1338942379
36294424268411.75128185826012.2487181416
3710101168718.97714820532292.022851795
38215641207865.7301243537775.26987564699
39325107260980.3423094564126.6576905504
4071765454.408240393841721.59175960616
41167542150847.15019423216694.8498057678
4210640870088.547411753536319.4525882465
4396560122497.590477999-25937.5904779988
44265769275001.902292232-9232.90229223218
45269651293094.839810066-23443.839810066
46149112158625.135732533-9513.13573253319
47175824219681.293597285-43857.293597285
48152871151497.5375010151373.46249898504
49111665107620.7862783184044.21372168215
50116408181721.267587928-65313.2675879283
51362301320528.36743282541772.6325671749
527880092652.3302024814-13852.3302024814
53183167199952.514879478-16785.5148794778
54277965303983.56086076-26018.5608607598
55150629205089.126502956-54460.1265029557
56168809162721.3799152086087.62008479239
572418837394.1533975653-13206.1533975653
58329267280340.07498593248926.9250140681
596502968859.9813455626-3830.98134556264
60101097108080.498194561-6983.49819456128
61218946210211.947948388734.05205161993
62244052213996.36887095930055.6311290406
63341570305154.61541244836415.3845875522
6410359794292.70761812169304.29238187841
65233328233310.71639271617.2836072841591
66256462255153.9952641481308.00473585168
67206161182629.75306664623531.2469333535
68311473301358.42087479610114.5791252036
69235800226493.3306933479306.6693066528
70177939212481.410574289-34542.410574289
71207176194279.74278710612896.2572128942
72196553148759.36923692547793.6307630746
73174184132351.18544848241832.8145515184
74143246165825.118668606-22579.1186686062
75187559219652.548269846-32093.5482698464
76187681205648.913820918-17967.9138209181
77119016157799.465032422-38783.4650324225
78182192198186.22440752-15994.2244075197
797356698658.4176306831-25092.4176306831
80194979191761.9881487533217.01185124657
81167488164346.7657186563141.23428134434
82143756179349.214680996-35593.2146809957
83275541235462.04233493740078.9576650627
84243199213984.13829874529214.8617012547
85182999163198.24783399619800.7521660042
86135649164883.296645755-29234.296645755
87152299164479.134746902-12180.1347469017
88120221138111.111607965-17890.1116079647
89346485277868.04387872768616.9561212732
90145790162432.927360502-16642.9273605025
91193339161222.95019599332116.0498040073
928095397042.5500588744-16089.5500588744
93122774151966.761871341-29192.7618713408
94130585122837.7502090717747.24979092902
9511261194150.81213395118460.187866049
96286468274093.5835050612374.4164949397
97241066212568.6108288628497.3891711395
98148446275733.515266834-127287.515266834
99204713182466.90834674822246.0916532523
100182079193328.768934456-11249.7689344557
101140344123486.34254002816857.6574599722
102220516243825.796840242-23309.796840242
103243060197832.76622865345227.2337713473
104162765150885.80104705311879.1989529467
105182613151954.58229318430658.4177068164
106232138206497.35911736425640.6408826364
107265318297033.874519276-31715.8745192755
1088557492447.3382256535-6873.33822565347
109310839282339.307349428499.6926505998
110225060224193.070618789866.929381211238
111232317216802.13068024215514.8693197583
112144966158815.974985247-13849.9749852471
1134328759172.2932460149-15885.2932460149
114155754150077.4159255375676.58407446281
115164709185344.412122876-20635.4121228757
116201940231762.628578945-29822.6285789451
117235454255379.88097177-19925.8809717705
118220801171332.98105287749468.0189471233
1199946695658.14633245413807.85366754593
12092661115417.246126939-22756.2461269391
121133328135759.095869287-2431.09586928741
12261361107010.21129648-45649.2112964796
123125930152490.626895717-26560.6268957165
124100750156461.550619579-55711.5506195794
125224549149849.0146540774699.98534593
1268231662014.272617929620301.7273820704
12710201091245.608216895510764.3917831045
128101523113657.169334349-12134.1693343491
129243511220294.25482609823216.745173902
1302293820845.75325937082092.24674062923
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147128423131984.643508682-3561.64350868152
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160229242251299.012329768-22057.012329768
161351619329853.88589499921765.1141050009
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163120445135607.864303231-15162.8643032315
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165131069162173.895438741-31104.8954387408
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172195838192048.0103121273789.98968787319
173173260171363.5900910761896.40990892426
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18013578199196.460785544536584.5392144555
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18281240135026.644158332-53786.6441583318
183146887341.735569740327346.26443025968
184181633158055.28515181223577.7148481884
185271856244402.37284634527453.6271536551
18671995296.761952584031902.23804741597
1874666047348.991599427-688.991599427021
188175473363.3478353757114183.6521646243
189133368124490.6818898148877.31811018553
1909522785614.16815748649612.83184251362
191152601119157.96198037833443.0380196218
19298146105289.541485514-7143.54148551372
1937961993399.7049171672-13780.7049171672
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195139942142168.263757219-2226.26375721859
196118612112638.4458685475973.55413145334
1977288096143.8746178052-23263.8746178052
1986547557051.99488158388423.00511841617
19999643130366.872160012-30723.8721600125
2007196577792.8959691265-5827.89596912652
2017727271850.95529213095421.04470786914
2024928947243.95578357932045.04421642073
203135131124200.15760852910930.8423914706
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208181528139497.14566307642030.8543369239
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210124064128459.607759782-4395.60775978167
2119263079314.22862203413315.771377966
21212184894829.768351304627018.2316486954
2135291554765.0791959983-1850.07919599832
2148187283595.0369596605-1723.03695966052
2155898189070.9076586799-30089.9076586799
2165351569177.1769236414-15662.1769236414
2176081294673.5068519427-33861.5068519427
2185637549539.41908585336835.58091414673
2196549061905.61969341873584.38030658134
2208094957276.469263513123672.5307364869
2217630296262.9705236539-19960.9705236539
222104011108100.710081051-4089.71008105104
22398104145120.616447007-47016.6164470075
2246798962388.80087515265600.19912484744
2253098934010.6740948885-3021.67409488848
226135458131365.8201222084092.17987779171
2277350450387.122014411123116.8779855889
2286312391674.5504091271-28551.5504091271
2296125483525.3611895687-22271.3611895687
23074914113471.484190786-38557.4841907865
2313177446226.8999568032-14452.8999568032
2328143783599.8726242339-2162.87262423389
23387186119193.236598035-32007.2365980345
2345009055374.7964382487-5284.79643824875
2356574593153.9463657142-27408.9463657142
2365665370867.5797202248-14214.5797202248
237158399108671.54078262749727.4592173728
2384645552318.7175939476-5863.71759394761
2397362485262.8007636051-11638.8007636051
2403839561365.199853509-22970.199853509
2419189978029.361830927613869.6381690724
242139526139237.652803862288.347196138308
2435216468786.8211381375-16622.8211381375
2445156760567.1036294614-9000.10362946137
2457055172606.5322944889-2055.53229448894
2468485693836.7093061795-8980.70930617953
247102538123183.336872377-20645.3368723767
2488667867389.775037096819288.2249629033
2498570979155.84036343026553.15963656983
2503466247006.3129572462-12344.3129572462
251150580136340.3305227114239.6694772898
2529961193010.66456892886600.33543107115
253193497983.158135159711365.8418648403
25499373101480.941665946-2107.94166594646
25586230109874.608663322-23644.6086633224
2563083730161.4365847493675.563415250744
2573170643609.4241753465-11903.4241753465
2588980680510.38616147939295.61383852075
2596208849824.105191729712263.8948082703
2604015133161.45860831376989.54139168634
2612763439998.9837511689-12364.9837511689
2627699071858.49222189525131.50777810481
2633746025832.963929281511627.0360707185
2645415759905.7216426598-5748.72164265979
2654986264369.4841612599-14507.4841612599
2668433776175.4555035618161.54449643904
2676417586817.3129580873-22642.3129580873
2685938264327.0560107817-4945.05601078168
26911930874938.055607005344369.9443929947
2707670293127.3305762322-16425.3305762322
271103425106167.377971795-2742.37797179479
2727034469611.0039794274732.996020572599
2734341040983.07553638862426.9244636114
274104838100590.197273954247.80272604981
2756221550571.433948495711643.5660515043
2766930484291.9696380022-14987.9696380022
2775311736520.589649627716596.4103503723
278197649645.9975994314710118.0024005685
2798668090668.0110449358-3988.01104493583
2808410571706.931747602712398.0682523973
2817794584024.157485325-6079.15748532496
2828911372337.190856114616775.8091438854
2839100590821.4928504609183.507149539127
2844024828116.020568358412131.9794316416
2856418764543.2704630049-356.270463004943
2865085751335.0743251108-478.074325110835
2875661353826.3939133352786.60608666498
2886279263073.5943218874-281.594321887429
2897253573909.0852090178-1374.08520901778






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.9684503314230640.06309933715387140.0315496685769357
120.9503049019462460.0993901961075080.049695098053754
130.966460372962320.06707925407536050.0335396270376803
140.9416166359875030.1167667280249940.0583833640124971
150.9163108231194760.1673783537610480.0836891768805239
160.8744901407513480.2510197184973050.125509859248652
170.9141478734815660.1717042530368670.0858521265184336
180.8820347147344680.2359305705310640.117965285265532
190.8639932427522440.2720135144955130.136006757247756
200.9163955458405360.1672089083189270.0836044541594637
210.8940413803478020.2119172393043960.105958619652198
220.862229475718610.2755410485627810.13777052428139
230.9972664356344620.005467128731075010.00273356436553751
240.996107369402050.007785261195900070.00389263059795003
250.9968031318930850.00639373621383010.00319686810691505
260.9994691449726220.001061710054755760.000530855027377878
270.9997566676570680.0004866646858633670.000243332342931684
280.9995932749992280.0008134500015444520.000406725000772226
290.9995571876777290.0008856246445421120.000442812322271056
300.9995312928992350.0009374142015295260.000468707100764763
310.9994736151771680.001052769645663450.000526384822831727
320.9991725476983490.001654904603301680.000827452301650839
330.9988804671541850.002239065691630990.0011195328458155
340.9988317241677030.002336551664594840.00116827583229742
350.99888952941620.002220941167600130.00111047058380007
360.9985317098397210.002936580320558550.00146829016027928
370.9979829246297390.00403415074052120.0020170753702606
380.9971028789297150.005794242140569250.00289712107028462
390.9993796485143450.00124070297131090.000620351485655449
400.9995399769358580.0009200461282834450.000460023064141723
410.9993284722092490.001343055581502010.000671527790751006
420.9991533563018680.001693287396264960.000846643698132482
430.9988282722927810.002343455414437920.00117172770721896
440.9982976903954970.003404619209006970.00170230960450348
450.9987273361590010.002545327681998590.0012726638409993
460.9982083118876670.003583376224665330.00179168811233266
470.998116961610910.003766076778180850.00188303838909042
480.9974042998956420.005191400208715650.00259570010435782
490.9964079720511450.007184055897709680.00359202794885484
500.9990550898450030.001889820309993780.000944910154996892
510.9999096258702530.000180748259494449.03741297472199e-05
520.999881144014130.0002377119717409510.000118855985870475
530.9998529440673130.0002941118653738760.000147055932686938
540.9998206915641140.0003586168717712440.000179308435885622
550.9999448649667830.0001102700664337445.5135033216872e-05
560.9999161061966890.0001677876066215358.38938033107675e-05
570.999894395330070.0002112093398602310.000105604669930115
580.9999683788248856.32423502297801e-053.162117511489e-05
590.9999523473455439.53053089147683e-054.76526544573841e-05
600.9999313703114510.0001372593770971566.8629688548578e-05
610.9999034929129460.0001930141741084429.65070870542209e-05
620.9998981277677870.0002037444644250880.000101872232212544
630.9999132329847070.0001735340305868638.67670152934316e-05
640.9998737413501640.0002525172996718780.000126258649835939
650.9998256331135440.0003487337729128280.000174366886456414
660.9997470650895270.0005058698209468550.000252934910473427
670.9996983455336750.0006033089326501080.000301654466325054
680.9995856722564190.0008286554871627610.000414327743581381
690.9994315145057640.001136970988471230.000568485494235615
700.9994503711697760.001099257660447640.00054962883022382
710.9992873551994090.001425289601182150.000712644800591074
720.9995763087398640.0008473825202715390.000423691260135769
730.9996608485662040.0006783028675914090.000339151433795704
740.9996582604397560.000683479120488020.00034173956024401
750.999690916078710.0006181678425792790.00030908392128964
760.999637875457070.000724249085860730.000362124542930365
770.999749309979020.0005013800419593040.000250690020979652
780.9996789389598060.0006421220803885320.000321061040194266
790.9996647962800180.0006704074399630920.000335203719981546
800.9995303304409720.0009393391180566370.000469669559028319
810.9993489121433040.001302175713392870.000651087856696436
820.9994705644075340.001058871184932640.000529435592466322
830.9996169813340960.0007660373318080380.000383018665904019
840.9996093301465830.0007813397068347740.000390669853417387
850.9995191653630080.0009616692739844790.000480834636992239
860.9995377610100670.0009244779798669280.000462238989933464
870.9994039611473120.001192077705375030.000596038852687516
880.9992889425412930.001422114917414240.000711057458707122
890.9998495424472680.000300915105464220.00015045755273211
900.9998131336189480.0003737327621047280.000186866381052364
910.9998179397436970.000364120512604960.00018206025630248
920.9997733599101290.0004532801797412390.000226640089870619
930.9997722912236640.0004554175526730020.000227708776336501
940.9996914825683470.0006170348633067060.000308517431653353
950.9996186416415710.0007627167168582710.000381358358429135
960.999533789401670.0009324211966603780.000466210598330189
970.9994964246772770.001007150645446770.000503575322723383
980.9999996924574916.15085017959203e-073.07542508979601e-07
990.9999996064184987.87163002908158e-073.93581501454079e-07
1000.9999994304316741.13913665222567e-065.69568326112834e-07
1010.9999992343229171.53135416653585e-067.65677083267926e-07
1020.9999991532510331.69349793388262e-068.46748966941312e-07
1030.99999959481218.10375800581614e-074.05187900290807e-07
1040.999999408823851.18235230017543e-065.91176150087715e-07
1050.9999994446394341.11072113267407e-065.55360566337035e-07
1060.9999993756404241.2487191516213e-066.24359575810648e-07
1070.9999994148289021.17034219551592e-065.85171097757958e-07
1080.9999991614211731.67715765376085e-068.38578826880426e-07
1090.9999991768776241.6462447516096e-068.23122375804799e-07
1100.9999987350720732.52985585371083e-061.26492792685542e-06
1110.9999982944761893.41104762270189e-061.70552381135094e-06
1120.9999978439630614.31207387780865e-062.15603693890432e-06
1130.9999972601327045.4797345930178e-062.7398672965089e-06
1140.9999959841179458.03176411082883e-064.01588205541441e-06
1150.9999953287153219.34256935815176e-064.67128467907588e-06
1160.9999956640745818.67185083803078e-064.33592541901539e-06
1170.9999950650072949.86998541236426e-064.93499270618213e-06
1180.9999979746495914.05070081742986e-062.02535040871493e-06
1190.9999969491192056.10176159091203e-063.05088079545601e-06
1200.9999965321024386.93579512468437e-063.46789756234218e-06
1210.9999948619068491.02761863015504e-055.13809315077519e-06
1220.9999976780875214.6438249570186e-062.3219124785093e-06
1230.9999973661928595.26761428202153e-062.63380714101076e-06
1240.9999993103171851.37936563054603e-066.89682815273017e-07
1250.9999999602593047.94813911366241e-083.9740695568312e-08
1260.9999999506295489.87409041165368e-084.93704520582684e-08
1270.9999999277456331.44508734318665e-077.22543671593326e-08
1280.9999998948335312.10332937709286e-071.05166468854643e-07
1290.9999998763596432.47280714681048e-071.23640357340524e-07
1300.9999998046376683.90724663458236e-071.95362331729118e-07
1310.9999996975740686.04851863006006e-073.02425931503003e-07
1320.9999998349209453.30158110447054e-071.65079055223527e-07
1330.9999997762776714.4744465738773e-072.23722328693865e-07
1340.99999996485257.02950006270906e-083.51475003135453e-08
1350.999999949461441.01077119714663e-075.05385598573313e-08
1360.9999999872387392.5522521316315e-081.27612606581575e-08
1370.9999999790918284.18163443813272e-082.09081721906636e-08
1380.9999999908648571.82702855543192e-089.13514277715962e-09
1390.9999999886269242.27461518445938e-081.13730759222969e-08
1400.9999999826056623.4788676676067e-081.73943383380335e-08
1410.9999999814254023.71491964828356e-081.85745982414178e-08
1420.9999999713637515.72724984640005e-082.86362492320002e-08
1430.9999999554256278.91487450728878e-084.45743725364439e-08
1440.9999999338551161.322897678332e-076.61448839165999e-08
1450.9999999051548371.89690324976677e-079.48451624883385e-08
1460.9999998794781792.41043641655984e-071.20521820827992e-07
1470.9999998180306933.63938613074069e-071.81969306537034e-07
1480.99999973551815.28963800638919e-072.64481900319459e-07
1490.9999996800278466.39944308874332e-073.19972154437166e-07
1500.999999498966261.00206748073085e-065.01033740365423e-07
1510.9999994328199611.13436007908325e-065.67180039541627e-07
1520.9999992833178661.43336426785416e-067.16682133927082e-07
1530.9999990192146081.96157078351525e-069.80785391757625e-07
1540.9999985280042742.9439914520273e-061.47199572601365e-06
1550.999998109486813.78102638035162e-061.89051319017581e-06
1560.9999993832517241.23349655177371e-066.16748275886855e-07
1570.9999993326472711.33470545883531e-066.67352729417653e-07
1580.9999992651125151.46977497075937e-067.34887485379684e-07
1590.9999991596947711.68061045818745e-068.40305229093723e-07
1600.9999990880730681.82385386320598e-069.11926931602989e-07
1610.9999991250032821.74999343641633e-068.74996718208163e-07
1620.9999987334944852.53301102949698e-061.26650551474849e-06
1630.9999985615613512.87687729865629e-061.43843864932815e-06
1640.9999982208213573.55835728667602e-061.77917864333801e-06
1650.9999983833173493.23336530221211e-061.61668265110605e-06
1660.9999993290942861.34181142751189e-066.70905713755947e-07
1670.9999989975777322.00484453566412e-061.00242226783206e-06
1680.9999985601437042.87971259110746e-061.43985629555373e-06
1690.9999983884266483.22314670429249e-061.61157335214625e-06
1700.9999999902390621.95218751556405e-089.76093757782027e-09
1710.9999999836438163.27123683515606e-081.63561841757803e-08
1720.9999999769204694.61590627237597e-082.30795313618799e-08
1730.9999999616939497.6612102739748e-083.8306051369874e-08
1740.9999999843551933.12896134232592e-081.56448067116296e-08
1750.9999999997635234.72954581236108e-102.36477290618054e-10
1760.9999999996054897.89021771371081e-103.94510885685541e-10
1770.9999999996429917.14018144024478e-103.57009072012239e-10
1780.9999999993922681.21546462558824e-096.07732312794118e-10
1790.9999999989316042.13679247971731e-091.06839623985865e-09
1800.9999999996207277.58546808608967e-103.79273404304483e-10
1810.9999999995373939.2521301469216e-104.6260650734608e-10
1820.999999999964367.12801631186296e-113.56400815593148e-11
1830.999999999933431.33139714042999e-106.65698570214993e-11
1840.9999999999460981.07804597305845e-105.39022986529224e-11
1850.9999999999837163.25680416586169e-111.62840208293085e-11
1860.9999999999708665.82685385351301e-112.9134269267565e-11
1870.9999999999469921.0601671522206e-105.30083576110302e-11
1880.9999999999027211.94557233913662e-109.7278616956831e-11
1890.9999999998550842.89831687316515e-101.44915843658258e-10
1900.9999999998602982.79404882017448e-101.39702441008724e-10
1910.9999999999880082.39846528067984e-111.19923264033992e-11
1920.9999999999765734.68531001436628e-112.34265500718314e-11
1930.9999999999614587.70832344421556e-113.85416172210778e-11
1940.9999999999252641.4947251492896e-107.473625746448e-11
1950.9999999998627552.74490640026002e-101.37245320013001e-10
1960.9999999997724984.55003520851967e-102.27501760425984e-10
1970.9999999997643414.71317430384454e-102.35658715192227e-10
1980.9999999995690588.61884113907221e-104.30942056953611e-10
1990.9999999995808858.38230793502823e-104.19115396751412e-10
2000.9999999992408751.51825057678084e-097.59125288390421e-10
2010.9999999985998922.80021652971229e-091.40010826485615e-09
2020.9999999976467464.70650851715845e-092.35325425857923e-09
2030.999999996139897.72021979657075e-093.86010989828537e-09
2040.9999999930085591.39828822031823e-086.99144110159113e-09
2050.9999999930388051.39223908787333e-086.96119543936665e-09
2060.9999999873322252.53355493849667e-081.26677746924833e-08
2070.9999999778080764.43838483525394e-082.21919241762697e-08
2080.9999999963795767.24084719296937e-093.62042359648468e-09
2090.9999999978133714.3732576160274e-092.1866288080137e-09
2100.9999999961354577.72908678431704e-093.86454339215852e-09
2110.9999999945094561.09810877219128e-085.49054386095641e-09
2120.9999999978476984.30460386040048e-092.15230193020024e-09
2130.9999999958048268.39034731016063e-094.19517365508031e-09
2140.9999999919018271.61963451224922e-088.09817256124612e-09
2150.9999999911496321.77007356739467e-088.85036783697334e-09
2160.9999999899366132.01267741441761e-081.00633870720881e-08
2170.9999999949635731.00728538060962e-085.0364269030481e-09
2180.9999999901661021.96677958634271e-089.83389793171355e-09
2190.9999999828502673.42994668235754e-081.71497334117877e-08
2200.9999999810234973.79530060160167e-081.89765030080084e-08
2210.9999999712636475.74727050756928e-082.87363525378464e-08
2220.9999999451226621.09754675393911e-075.48773376969555e-08
2230.9999999803625253.92749506596844e-081.96374753298422e-08
2240.9999999651329656.97340698911989e-083.48670349455994e-08
2250.9999999327791931.34441613888871e-076.72208069444356e-08
2260.9999998850153062.29969388068789e-071.14984694034394e-07
2270.9999998898753612.20249277667905e-071.10124638833952e-07
2280.9999999124451611.75109677753628e-078.75548388768139e-08
2290.999999903922441.92155119356807e-079.60775596784036e-08
2300.999999972514785.49704405184532e-082.74852202592266e-08
2310.9999999723853415.52293178300229e-082.76146589150114e-08
2320.9999999436242591.12751481927079e-075.63757409635394e-08
2330.9999999771612594.56774826041979e-082.2838741302099e-08
2340.9999999544059779.11880465218072e-084.55940232609036e-08
2350.9999999564968178.70063649358619e-084.3503182467931e-08
2360.9999999210406931.57918614760235e-077.89593073801176e-08
2370.9999999995132089.73584397274438e-104.86792198637219e-10
2380.999999998954262.09148089288121e-091.0457404464406e-09
2390.9999999981066543.78669112354307e-091.89334556177154e-09
2400.9999999988612192.27756104968831e-091.13878052484416e-09
2410.9999999986928942.61421199214355e-091.30710599607178e-09
2420.9999999968638186.27236436728819e-093.1361821836441e-09
2430.999999996192457.61509957774036e-093.80754978887018e-09
2440.999999993440981.31180407990346e-086.55902039951728e-09
2450.9999999853704352.92591294856221e-081.4629564742811e-08
2460.9999999647478967.05042078700336e-083.52521039350168e-08
2470.9999999447333211.10533358084306e-075.52666790421528e-08
2480.9999999254026461.49194707544601e-077.45973537723004e-08
2490.9999998236860423.52627915643913e-071.76313957821957e-07
2500.9999996800792366.39841528942827e-073.19920764471414e-07
2510.9999996170811337.65837733828771e-073.82918866914386e-07
2520.9999992007673481.59846530312529e-067.99232651562646e-07
2530.999998151465453.69706909953045e-061.84853454976523e-06
2540.9999957599565968.48008680762816e-064.24004340381408e-06
2550.9999962803502957.43929941051044e-063.71964970525522e-06
2560.9999921227606521.57544786951291e-057.87723934756456e-06
2570.9999918020280661.63959438678313e-058.19797193391566e-06
2580.9999868082246972.63835506056881e-051.3191775302844e-05
2590.9999776594472274.46811055463078e-052.23405527731539e-05
2600.9999493716153120.0001012567693767645.06283846883819e-05
2610.999900087530470.000199824939060099.99124695300449e-05
2620.999784395342390.0004312093152206690.000215604657610335
2630.9995361006035890.0009277987928224140.000463899396411207
2640.999082978042930.001834043914140970.000917021957070486
2650.9993695169457450.00126096610851030.000630483054255152
2660.9989212374168540.002157525166291990.001078762583146
2670.9994155824803810.00116883503923780.000584417519618902
2680.9989322343096590.002135531380681590.00106776569034079
2690.9999961574182557.6851634904092e-063.8425817452046e-06
2700.9999974186271965.16274560882927e-062.58137280441463e-06
2710.9999900701274961.98597450077625e-059.92987250388123e-06
2720.9999654083385736.91833228548778e-053.45916614274389e-05
2730.9999251619334070.0001496761331856227.48380665928112e-05
2740.9997686070250150.0004627859499703420.000231392974985171
2750.999375193218590.00124961356282080.0006248067814104
2760.9972753959523340.005449208095331290.00272460404766565
2770.9948212246280710.01035755074385720.00517877537192858
2780.9794050849044660.04118983019106830.0205949150955341

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
11 & 0.968450331423064 & 0.0630993371538714 & 0.0315496685769357 \tabularnewline
12 & 0.950304901946246 & 0.099390196107508 & 0.049695098053754 \tabularnewline
13 & 0.96646037296232 & 0.0670792540753605 & 0.0335396270376803 \tabularnewline
14 & 0.941616635987503 & 0.116766728024994 & 0.0583833640124971 \tabularnewline
15 & 0.916310823119476 & 0.167378353761048 & 0.0836891768805239 \tabularnewline
16 & 0.874490140751348 & 0.251019718497305 & 0.125509859248652 \tabularnewline
17 & 0.914147873481566 & 0.171704253036867 & 0.0858521265184336 \tabularnewline
18 & 0.882034714734468 & 0.235930570531064 & 0.117965285265532 \tabularnewline
19 & 0.863993242752244 & 0.272013514495513 & 0.136006757247756 \tabularnewline
20 & 0.916395545840536 & 0.167208908318927 & 0.0836044541594637 \tabularnewline
21 & 0.894041380347802 & 0.211917239304396 & 0.105958619652198 \tabularnewline
22 & 0.86222947571861 & 0.275541048562781 & 0.13777052428139 \tabularnewline
23 & 0.997266435634462 & 0.00546712873107501 & 0.00273356436553751 \tabularnewline
24 & 0.99610736940205 & 0.00778526119590007 & 0.00389263059795003 \tabularnewline
25 & 0.996803131893085 & 0.0063937362138301 & 0.00319686810691505 \tabularnewline
26 & 0.999469144972622 & 0.00106171005475576 & 0.000530855027377878 \tabularnewline
27 & 0.999756667657068 & 0.000486664685863367 & 0.000243332342931684 \tabularnewline
28 & 0.999593274999228 & 0.000813450001544452 & 0.000406725000772226 \tabularnewline
29 & 0.999557187677729 & 0.000885624644542112 & 0.000442812322271056 \tabularnewline
30 & 0.999531292899235 & 0.000937414201529526 & 0.000468707100764763 \tabularnewline
31 & 0.999473615177168 & 0.00105276964566345 & 0.000526384822831727 \tabularnewline
32 & 0.999172547698349 & 0.00165490460330168 & 0.000827452301650839 \tabularnewline
33 & 0.998880467154185 & 0.00223906569163099 & 0.0011195328458155 \tabularnewline
34 & 0.998831724167703 & 0.00233655166459484 & 0.00116827583229742 \tabularnewline
35 & 0.9988895294162 & 0.00222094116760013 & 0.00111047058380007 \tabularnewline
36 & 0.998531709839721 & 0.00293658032055855 & 0.00146829016027928 \tabularnewline
37 & 0.997982924629739 & 0.0040341507405212 & 0.0020170753702606 \tabularnewline
38 & 0.997102878929715 & 0.00579424214056925 & 0.00289712107028462 \tabularnewline
39 & 0.999379648514345 & 0.0012407029713109 & 0.000620351485655449 \tabularnewline
40 & 0.999539976935858 & 0.000920046128283445 & 0.000460023064141723 \tabularnewline
41 & 0.999328472209249 & 0.00134305558150201 & 0.000671527790751006 \tabularnewline
42 & 0.999153356301868 & 0.00169328739626496 & 0.000846643698132482 \tabularnewline
43 & 0.998828272292781 & 0.00234345541443792 & 0.00117172770721896 \tabularnewline
44 & 0.998297690395497 & 0.00340461920900697 & 0.00170230960450348 \tabularnewline
45 & 0.998727336159001 & 0.00254532768199859 & 0.0012726638409993 \tabularnewline
46 & 0.998208311887667 & 0.00358337622466533 & 0.00179168811233266 \tabularnewline
47 & 0.99811696161091 & 0.00376607677818085 & 0.00188303838909042 \tabularnewline
48 & 0.997404299895642 & 0.00519140020871565 & 0.00259570010435782 \tabularnewline
49 & 0.996407972051145 & 0.00718405589770968 & 0.00359202794885484 \tabularnewline
50 & 0.999055089845003 & 0.00188982030999378 & 0.000944910154996892 \tabularnewline
51 & 0.999909625870253 & 0.00018074825949444 & 9.03741297472199e-05 \tabularnewline
52 & 0.99988114401413 & 0.000237711971740951 & 0.000118855985870475 \tabularnewline
53 & 0.999852944067313 & 0.000294111865373876 & 0.000147055932686938 \tabularnewline
54 & 0.999820691564114 & 0.000358616871771244 & 0.000179308435885622 \tabularnewline
55 & 0.999944864966783 & 0.000110270066433744 & 5.5135033216872e-05 \tabularnewline
56 & 0.999916106196689 & 0.000167787606621535 & 8.38938033107675e-05 \tabularnewline
57 & 0.99989439533007 & 0.000211209339860231 & 0.000105604669930115 \tabularnewline
58 & 0.999968378824885 & 6.32423502297801e-05 & 3.162117511489e-05 \tabularnewline
59 & 0.999952347345543 & 9.53053089147683e-05 & 4.76526544573841e-05 \tabularnewline
60 & 0.999931370311451 & 0.000137259377097156 & 6.8629688548578e-05 \tabularnewline
61 & 0.999903492912946 & 0.000193014174108442 & 9.65070870542209e-05 \tabularnewline
62 & 0.999898127767787 & 0.000203744464425088 & 0.000101872232212544 \tabularnewline
63 & 0.999913232984707 & 0.000173534030586863 & 8.67670152934316e-05 \tabularnewline
64 & 0.999873741350164 & 0.000252517299671878 & 0.000126258649835939 \tabularnewline
65 & 0.999825633113544 & 0.000348733772912828 & 0.000174366886456414 \tabularnewline
66 & 0.999747065089527 & 0.000505869820946855 & 0.000252934910473427 \tabularnewline
67 & 0.999698345533675 & 0.000603308932650108 & 0.000301654466325054 \tabularnewline
68 & 0.999585672256419 & 0.000828655487162761 & 0.000414327743581381 \tabularnewline
69 & 0.999431514505764 & 0.00113697098847123 & 0.000568485494235615 \tabularnewline
70 & 0.999450371169776 & 0.00109925766044764 & 0.00054962883022382 \tabularnewline
71 & 0.999287355199409 & 0.00142528960118215 & 0.000712644800591074 \tabularnewline
72 & 0.999576308739864 & 0.000847382520271539 & 0.000423691260135769 \tabularnewline
73 & 0.999660848566204 & 0.000678302867591409 & 0.000339151433795704 \tabularnewline
74 & 0.999658260439756 & 0.00068347912048802 & 0.00034173956024401 \tabularnewline
75 & 0.99969091607871 & 0.000618167842579279 & 0.00030908392128964 \tabularnewline
76 & 0.99963787545707 & 0.00072424908586073 & 0.000362124542930365 \tabularnewline
77 & 0.99974930997902 & 0.000501380041959304 & 0.000250690020979652 \tabularnewline
78 & 0.999678938959806 & 0.000642122080388532 & 0.000321061040194266 \tabularnewline
79 & 0.999664796280018 & 0.000670407439963092 & 0.000335203719981546 \tabularnewline
80 & 0.999530330440972 & 0.000939339118056637 & 0.000469669559028319 \tabularnewline
81 & 0.999348912143304 & 0.00130217571339287 & 0.000651087856696436 \tabularnewline
82 & 0.999470564407534 & 0.00105887118493264 & 0.000529435592466322 \tabularnewline
83 & 0.999616981334096 & 0.000766037331808038 & 0.000383018665904019 \tabularnewline
84 & 0.999609330146583 & 0.000781339706834774 & 0.000390669853417387 \tabularnewline
85 & 0.999519165363008 & 0.000961669273984479 & 0.000480834636992239 \tabularnewline
86 & 0.999537761010067 & 0.000924477979866928 & 0.000462238989933464 \tabularnewline
87 & 0.999403961147312 & 0.00119207770537503 & 0.000596038852687516 \tabularnewline
88 & 0.999288942541293 & 0.00142211491741424 & 0.000711057458707122 \tabularnewline
89 & 0.999849542447268 & 0.00030091510546422 & 0.00015045755273211 \tabularnewline
90 & 0.999813133618948 & 0.000373732762104728 & 0.000186866381052364 \tabularnewline
91 & 0.999817939743697 & 0.00036412051260496 & 0.00018206025630248 \tabularnewline
92 & 0.999773359910129 & 0.000453280179741239 & 0.000226640089870619 \tabularnewline
93 & 0.999772291223664 & 0.000455417552673002 & 0.000227708776336501 \tabularnewline
94 & 0.999691482568347 & 0.000617034863306706 & 0.000308517431653353 \tabularnewline
95 & 0.999618641641571 & 0.000762716716858271 & 0.000381358358429135 \tabularnewline
96 & 0.99953378940167 & 0.000932421196660378 & 0.000466210598330189 \tabularnewline
97 & 0.999496424677277 & 0.00100715064544677 & 0.000503575322723383 \tabularnewline
98 & 0.999999692457491 & 6.15085017959203e-07 & 3.07542508979601e-07 \tabularnewline
99 & 0.999999606418498 & 7.87163002908158e-07 & 3.93581501454079e-07 \tabularnewline
100 & 0.999999430431674 & 1.13913665222567e-06 & 5.69568326112834e-07 \tabularnewline
101 & 0.999999234322917 & 1.53135416653585e-06 & 7.65677083267926e-07 \tabularnewline
102 & 0.999999153251033 & 1.69349793388262e-06 & 8.46748966941312e-07 \tabularnewline
103 & 0.9999995948121 & 8.10375800581614e-07 & 4.05187900290807e-07 \tabularnewline
104 & 0.99999940882385 & 1.18235230017543e-06 & 5.91176150087715e-07 \tabularnewline
105 & 0.999999444639434 & 1.11072113267407e-06 & 5.55360566337035e-07 \tabularnewline
106 & 0.999999375640424 & 1.2487191516213e-06 & 6.24359575810648e-07 \tabularnewline
107 & 0.999999414828902 & 1.17034219551592e-06 & 5.85171097757958e-07 \tabularnewline
108 & 0.999999161421173 & 1.67715765376085e-06 & 8.38578826880426e-07 \tabularnewline
109 & 0.999999176877624 & 1.6462447516096e-06 & 8.23122375804799e-07 \tabularnewline
110 & 0.999998735072073 & 2.52985585371083e-06 & 1.26492792685542e-06 \tabularnewline
111 & 0.999998294476189 & 3.41104762270189e-06 & 1.70552381135094e-06 \tabularnewline
112 & 0.999997843963061 & 4.31207387780865e-06 & 2.15603693890432e-06 \tabularnewline
113 & 0.999997260132704 & 5.4797345930178e-06 & 2.7398672965089e-06 \tabularnewline
114 & 0.999995984117945 & 8.03176411082883e-06 & 4.01588205541441e-06 \tabularnewline
115 & 0.999995328715321 & 9.34256935815176e-06 & 4.67128467907588e-06 \tabularnewline
116 & 0.999995664074581 & 8.67185083803078e-06 & 4.33592541901539e-06 \tabularnewline
117 & 0.999995065007294 & 9.86998541236426e-06 & 4.93499270618213e-06 \tabularnewline
118 & 0.999997974649591 & 4.05070081742986e-06 & 2.02535040871493e-06 \tabularnewline
119 & 0.999996949119205 & 6.10176159091203e-06 & 3.05088079545601e-06 \tabularnewline
120 & 0.999996532102438 & 6.93579512468437e-06 & 3.46789756234218e-06 \tabularnewline
121 & 0.999994861906849 & 1.02761863015504e-05 & 5.13809315077519e-06 \tabularnewline
122 & 0.999997678087521 & 4.6438249570186e-06 & 2.3219124785093e-06 \tabularnewline
123 & 0.999997366192859 & 5.26761428202153e-06 & 2.63380714101076e-06 \tabularnewline
124 & 0.999999310317185 & 1.37936563054603e-06 & 6.89682815273017e-07 \tabularnewline
125 & 0.999999960259304 & 7.94813911366241e-08 & 3.9740695568312e-08 \tabularnewline
126 & 0.999999950629548 & 9.87409041165368e-08 & 4.93704520582684e-08 \tabularnewline
127 & 0.999999927745633 & 1.44508734318665e-07 & 7.22543671593326e-08 \tabularnewline
128 & 0.999999894833531 & 2.10332937709286e-07 & 1.05166468854643e-07 \tabularnewline
129 & 0.999999876359643 & 2.47280714681048e-07 & 1.23640357340524e-07 \tabularnewline
130 & 0.999999804637668 & 3.90724663458236e-07 & 1.95362331729118e-07 \tabularnewline
131 & 0.999999697574068 & 6.04851863006006e-07 & 3.02425931503003e-07 \tabularnewline
132 & 0.999999834920945 & 3.30158110447054e-07 & 1.65079055223527e-07 \tabularnewline
133 & 0.999999776277671 & 4.4744465738773e-07 & 2.23722328693865e-07 \tabularnewline
134 & 0.9999999648525 & 7.02950006270906e-08 & 3.51475003135453e-08 \tabularnewline
135 & 0.99999994946144 & 1.01077119714663e-07 & 5.05385598573313e-08 \tabularnewline
136 & 0.999999987238739 & 2.5522521316315e-08 & 1.27612606581575e-08 \tabularnewline
137 & 0.999999979091828 & 4.18163443813272e-08 & 2.09081721906636e-08 \tabularnewline
138 & 0.999999990864857 & 1.82702855543192e-08 & 9.13514277715962e-09 \tabularnewline
139 & 0.999999988626924 & 2.27461518445938e-08 & 1.13730759222969e-08 \tabularnewline
140 & 0.999999982605662 & 3.4788676676067e-08 & 1.73943383380335e-08 \tabularnewline
141 & 0.999999981425402 & 3.71491964828356e-08 & 1.85745982414178e-08 \tabularnewline
142 & 0.999999971363751 & 5.72724984640005e-08 & 2.86362492320002e-08 \tabularnewline
143 & 0.999999955425627 & 8.91487450728878e-08 & 4.45743725364439e-08 \tabularnewline
144 & 0.999999933855116 & 1.322897678332e-07 & 6.61448839165999e-08 \tabularnewline
145 & 0.999999905154837 & 1.89690324976677e-07 & 9.48451624883385e-08 \tabularnewline
146 & 0.999999879478179 & 2.41043641655984e-07 & 1.20521820827992e-07 \tabularnewline
147 & 0.999999818030693 & 3.63938613074069e-07 & 1.81969306537034e-07 \tabularnewline
148 & 0.9999997355181 & 5.28963800638919e-07 & 2.64481900319459e-07 \tabularnewline
149 & 0.999999680027846 & 6.39944308874332e-07 & 3.19972154437166e-07 \tabularnewline
150 & 0.99999949896626 & 1.00206748073085e-06 & 5.01033740365423e-07 \tabularnewline
151 & 0.999999432819961 & 1.13436007908325e-06 & 5.67180039541627e-07 \tabularnewline
152 & 0.999999283317866 & 1.43336426785416e-06 & 7.16682133927082e-07 \tabularnewline
153 & 0.999999019214608 & 1.96157078351525e-06 & 9.80785391757625e-07 \tabularnewline
154 & 0.999998528004274 & 2.9439914520273e-06 & 1.47199572601365e-06 \tabularnewline
155 & 0.99999810948681 & 3.78102638035162e-06 & 1.89051319017581e-06 \tabularnewline
156 & 0.999999383251724 & 1.23349655177371e-06 & 6.16748275886855e-07 \tabularnewline
157 & 0.999999332647271 & 1.33470545883531e-06 & 6.67352729417653e-07 \tabularnewline
158 & 0.999999265112515 & 1.46977497075937e-06 & 7.34887485379684e-07 \tabularnewline
159 & 0.999999159694771 & 1.68061045818745e-06 & 8.40305229093723e-07 \tabularnewline
160 & 0.999999088073068 & 1.82385386320598e-06 & 9.11926931602989e-07 \tabularnewline
161 & 0.999999125003282 & 1.74999343641633e-06 & 8.74996718208163e-07 \tabularnewline
162 & 0.999998733494485 & 2.53301102949698e-06 & 1.26650551474849e-06 \tabularnewline
163 & 0.999998561561351 & 2.87687729865629e-06 & 1.43843864932815e-06 \tabularnewline
164 & 0.999998220821357 & 3.55835728667602e-06 & 1.77917864333801e-06 \tabularnewline
165 & 0.999998383317349 & 3.23336530221211e-06 & 1.61668265110605e-06 \tabularnewline
166 & 0.999999329094286 & 1.34181142751189e-06 & 6.70905713755947e-07 \tabularnewline
167 & 0.999998997577732 & 2.00484453566412e-06 & 1.00242226783206e-06 \tabularnewline
168 & 0.999998560143704 & 2.87971259110746e-06 & 1.43985629555373e-06 \tabularnewline
169 & 0.999998388426648 & 3.22314670429249e-06 & 1.61157335214625e-06 \tabularnewline
170 & 0.999999990239062 & 1.95218751556405e-08 & 9.76093757782027e-09 \tabularnewline
171 & 0.999999983643816 & 3.27123683515606e-08 & 1.63561841757803e-08 \tabularnewline
172 & 0.999999976920469 & 4.61590627237597e-08 & 2.30795313618799e-08 \tabularnewline
173 & 0.999999961693949 & 7.6612102739748e-08 & 3.8306051369874e-08 \tabularnewline
174 & 0.999999984355193 & 3.12896134232592e-08 & 1.56448067116296e-08 \tabularnewline
175 & 0.999999999763523 & 4.72954581236108e-10 & 2.36477290618054e-10 \tabularnewline
176 & 0.999999999605489 & 7.89021771371081e-10 & 3.94510885685541e-10 \tabularnewline
177 & 0.999999999642991 & 7.14018144024478e-10 & 3.57009072012239e-10 \tabularnewline
178 & 0.999999999392268 & 1.21546462558824e-09 & 6.07732312794118e-10 \tabularnewline
179 & 0.999999998931604 & 2.13679247971731e-09 & 1.06839623985865e-09 \tabularnewline
180 & 0.999999999620727 & 7.58546808608967e-10 & 3.79273404304483e-10 \tabularnewline
181 & 0.999999999537393 & 9.2521301469216e-10 & 4.6260650734608e-10 \tabularnewline
182 & 0.99999999996436 & 7.12801631186296e-11 & 3.56400815593148e-11 \tabularnewline
183 & 0.99999999993343 & 1.33139714042999e-10 & 6.65698570214993e-11 \tabularnewline
184 & 0.999999999946098 & 1.07804597305845e-10 & 5.39022986529224e-11 \tabularnewline
185 & 0.999999999983716 & 3.25680416586169e-11 & 1.62840208293085e-11 \tabularnewline
186 & 0.999999999970866 & 5.82685385351301e-11 & 2.9134269267565e-11 \tabularnewline
187 & 0.999999999946992 & 1.0601671522206e-10 & 5.30083576110302e-11 \tabularnewline
188 & 0.999999999902721 & 1.94557233913662e-10 & 9.7278616956831e-11 \tabularnewline
189 & 0.999999999855084 & 2.89831687316515e-10 & 1.44915843658258e-10 \tabularnewline
190 & 0.999999999860298 & 2.79404882017448e-10 & 1.39702441008724e-10 \tabularnewline
191 & 0.999999999988008 & 2.39846528067984e-11 & 1.19923264033992e-11 \tabularnewline
192 & 0.999999999976573 & 4.68531001436628e-11 & 2.34265500718314e-11 \tabularnewline
193 & 0.999999999961458 & 7.70832344421556e-11 & 3.85416172210778e-11 \tabularnewline
194 & 0.999999999925264 & 1.4947251492896e-10 & 7.473625746448e-11 \tabularnewline
195 & 0.999999999862755 & 2.74490640026002e-10 & 1.37245320013001e-10 \tabularnewline
196 & 0.999999999772498 & 4.55003520851967e-10 & 2.27501760425984e-10 \tabularnewline
197 & 0.999999999764341 & 4.71317430384454e-10 & 2.35658715192227e-10 \tabularnewline
198 & 0.999999999569058 & 8.61884113907221e-10 & 4.30942056953611e-10 \tabularnewline
199 & 0.999999999580885 & 8.38230793502823e-10 & 4.19115396751412e-10 \tabularnewline
200 & 0.999999999240875 & 1.51825057678084e-09 & 7.59125288390421e-10 \tabularnewline
201 & 0.999999998599892 & 2.80021652971229e-09 & 1.40010826485615e-09 \tabularnewline
202 & 0.999999997646746 & 4.70650851715845e-09 & 2.35325425857923e-09 \tabularnewline
203 & 0.99999999613989 & 7.72021979657075e-09 & 3.86010989828537e-09 \tabularnewline
204 & 0.999999993008559 & 1.39828822031823e-08 & 6.99144110159113e-09 \tabularnewline
205 & 0.999999993038805 & 1.39223908787333e-08 & 6.96119543936665e-09 \tabularnewline
206 & 0.999999987332225 & 2.53355493849667e-08 & 1.26677746924833e-08 \tabularnewline
207 & 0.999999977808076 & 4.43838483525394e-08 & 2.21919241762697e-08 \tabularnewline
208 & 0.999999996379576 & 7.24084719296937e-09 & 3.62042359648468e-09 \tabularnewline
209 & 0.999999997813371 & 4.3732576160274e-09 & 2.1866288080137e-09 \tabularnewline
210 & 0.999999996135457 & 7.72908678431704e-09 & 3.86454339215852e-09 \tabularnewline
211 & 0.999999994509456 & 1.09810877219128e-08 & 5.49054386095641e-09 \tabularnewline
212 & 0.999999997847698 & 4.30460386040048e-09 & 2.15230193020024e-09 \tabularnewline
213 & 0.999999995804826 & 8.39034731016063e-09 & 4.19517365508031e-09 \tabularnewline
214 & 0.999999991901827 & 1.61963451224922e-08 & 8.09817256124612e-09 \tabularnewline
215 & 0.999999991149632 & 1.77007356739467e-08 & 8.85036783697334e-09 \tabularnewline
216 & 0.999999989936613 & 2.01267741441761e-08 & 1.00633870720881e-08 \tabularnewline
217 & 0.999999994963573 & 1.00728538060962e-08 & 5.0364269030481e-09 \tabularnewline
218 & 0.999999990166102 & 1.96677958634271e-08 & 9.83389793171355e-09 \tabularnewline
219 & 0.999999982850267 & 3.42994668235754e-08 & 1.71497334117877e-08 \tabularnewline
220 & 0.999999981023497 & 3.79530060160167e-08 & 1.89765030080084e-08 \tabularnewline
221 & 0.999999971263647 & 5.74727050756928e-08 & 2.87363525378464e-08 \tabularnewline
222 & 0.999999945122662 & 1.09754675393911e-07 & 5.48773376969555e-08 \tabularnewline
223 & 0.999999980362525 & 3.92749506596844e-08 & 1.96374753298422e-08 \tabularnewline
224 & 0.999999965132965 & 6.97340698911989e-08 & 3.48670349455994e-08 \tabularnewline
225 & 0.999999932779193 & 1.34441613888871e-07 & 6.72208069444356e-08 \tabularnewline
226 & 0.999999885015306 & 2.29969388068789e-07 & 1.14984694034394e-07 \tabularnewline
227 & 0.999999889875361 & 2.20249277667905e-07 & 1.10124638833952e-07 \tabularnewline
228 & 0.999999912445161 & 1.75109677753628e-07 & 8.75548388768139e-08 \tabularnewline
229 & 0.99999990392244 & 1.92155119356807e-07 & 9.60775596784036e-08 \tabularnewline
230 & 0.99999997251478 & 5.49704405184532e-08 & 2.74852202592266e-08 \tabularnewline
231 & 0.999999972385341 & 5.52293178300229e-08 & 2.76146589150114e-08 \tabularnewline
232 & 0.999999943624259 & 1.12751481927079e-07 & 5.63757409635394e-08 \tabularnewline
233 & 0.999999977161259 & 4.56774826041979e-08 & 2.2838741302099e-08 \tabularnewline
234 & 0.999999954405977 & 9.11880465218072e-08 & 4.55940232609036e-08 \tabularnewline
235 & 0.999999956496817 & 8.70063649358619e-08 & 4.3503182467931e-08 \tabularnewline
236 & 0.999999921040693 & 1.57918614760235e-07 & 7.89593073801176e-08 \tabularnewline
237 & 0.999999999513208 & 9.73584397274438e-10 & 4.86792198637219e-10 \tabularnewline
238 & 0.99999999895426 & 2.09148089288121e-09 & 1.0457404464406e-09 \tabularnewline
239 & 0.999999998106654 & 3.78669112354307e-09 & 1.89334556177154e-09 \tabularnewline
240 & 0.999999998861219 & 2.27756104968831e-09 & 1.13878052484416e-09 \tabularnewline
241 & 0.999999998692894 & 2.61421199214355e-09 & 1.30710599607178e-09 \tabularnewline
242 & 0.999999996863818 & 6.27236436728819e-09 & 3.1361821836441e-09 \tabularnewline
243 & 0.99999999619245 & 7.61509957774036e-09 & 3.80754978887018e-09 \tabularnewline
244 & 0.99999999344098 & 1.31180407990346e-08 & 6.55902039951728e-09 \tabularnewline
245 & 0.999999985370435 & 2.92591294856221e-08 & 1.4629564742811e-08 \tabularnewline
246 & 0.999999964747896 & 7.05042078700336e-08 & 3.52521039350168e-08 \tabularnewline
247 & 0.999999944733321 & 1.10533358084306e-07 & 5.52666790421528e-08 \tabularnewline
248 & 0.999999925402646 & 1.49194707544601e-07 & 7.45973537723004e-08 \tabularnewline
249 & 0.999999823686042 & 3.52627915643913e-07 & 1.76313957821957e-07 \tabularnewline
250 & 0.999999680079236 & 6.39841528942827e-07 & 3.19920764471414e-07 \tabularnewline
251 & 0.999999617081133 & 7.65837733828771e-07 & 3.82918866914386e-07 \tabularnewline
252 & 0.999999200767348 & 1.59846530312529e-06 & 7.99232651562646e-07 \tabularnewline
253 & 0.99999815146545 & 3.69706909953045e-06 & 1.84853454976523e-06 \tabularnewline
254 & 0.999995759956596 & 8.48008680762816e-06 & 4.24004340381408e-06 \tabularnewline
255 & 0.999996280350295 & 7.43929941051044e-06 & 3.71964970525522e-06 \tabularnewline
256 & 0.999992122760652 & 1.57544786951291e-05 & 7.87723934756456e-06 \tabularnewline
257 & 0.999991802028066 & 1.63959438678313e-05 & 8.19797193391566e-06 \tabularnewline
258 & 0.999986808224697 & 2.63835506056881e-05 & 1.3191775302844e-05 \tabularnewline
259 & 0.999977659447227 & 4.46811055463078e-05 & 2.23405527731539e-05 \tabularnewline
260 & 0.999949371615312 & 0.000101256769376764 & 5.06283846883819e-05 \tabularnewline
261 & 0.99990008753047 & 0.00019982493906009 & 9.99124695300449e-05 \tabularnewline
262 & 0.99978439534239 & 0.000431209315220669 & 0.000215604657610335 \tabularnewline
263 & 0.999536100603589 & 0.000927798792822414 & 0.000463899396411207 \tabularnewline
264 & 0.99908297804293 & 0.00183404391414097 & 0.000917021957070486 \tabularnewline
265 & 0.999369516945745 & 0.0012609661085103 & 0.000630483054255152 \tabularnewline
266 & 0.998921237416854 & 0.00215752516629199 & 0.001078762583146 \tabularnewline
267 & 0.999415582480381 & 0.0011688350392378 & 0.000584417519618902 \tabularnewline
268 & 0.998932234309659 & 0.00213553138068159 & 0.00106776569034079 \tabularnewline
269 & 0.999996157418255 & 7.6851634904092e-06 & 3.8425817452046e-06 \tabularnewline
270 & 0.999997418627196 & 5.16274560882927e-06 & 2.58137280441463e-06 \tabularnewline
271 & 0.999990070127496 & 1.98597450077625e-05 & 9.92987250388123e-06 \tabularnewline
272 & 0.999965408338573 & 6.91833228548778e-05 & 3.45916614274389e-05 \tabularnewline
273 & 0.999925161933407 & 0.000149676133185622 & 7.48380665928112e-05 \tabularnewline
274 & 0.999768607025015 & 0.000462785949970342 & 0.000231392974985171 \tabularnewline
275 & 0.99937519321859 & 0.0012496135628208 & 0.0006248067814104 \tabularnewline
276 & 0.997275395952334 & 0.00544920809533129 & 0.00272460404766565 \tabularnewline
277 & 0.994821224628071 & 0.0103575507438572 & 0.00517877537192858 \tabularnewline
278 & 0.979405084904466 & 0.0411898301910683 & 0.0205949150955341 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201521&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]11[/C][C]0.968450331423064[/C][C]0.0630993371538714[/C][C]0.0315496685769357[/C][/ROW]
[ROW][C]12[/C][C]0.950304901946246[/C][C]0.099390196107508[/C][C]0.049695098053754[/C][/ROW]
[ROW][C]13[/C][C]0.96646037296232[/C][C]0.0670792540753605[/C][C]0.0335396270376803[/C][/ROW]
[ROW][C]14[/C][C]0.941616635987503[/C][C]0.116766728024994[/C][C]0.0583833640124971[/C][/ROW]
[ROW][C]15[/C][C]0.916310823119476[/C][C]0.167378353761048[/C][C]0.0836891768805239[/C][/ROW]
[ROW][C]16[/C][C]0.874490140751348[/C][C]0.251019718497305[/C][C]0.125509859248652[/C][/ROW]
[ROW][C]17[/C][C]0.914147873481566[/C][C]0.171704253036867[/C][C]0.0858521265184336[/C][/ROW]
[ROW][C]18[/C][C]0.882034714734468[/C][C]0.235930570531064[/C][C]0.117965285265532[/C][/ROW]
[ROW][C]19[/C][C]0.863993242752244[/C][C]0.272013514495513[/C][C]0.136006757247756[/C][/ROW]
[ROW][C]20[/C][C]0.916395545840536[/C][C]0.167208908318927[/C][C]0.0836044541594637[/C][/ROW]
[ROW][C]21[/C][C]0.894041380347802[/C][C]0.211917239304396[/C][C]0.105958619652198[/C][/ROW]
[ROW][C]22[/C][C]0.86222947571861[/C][C]0.275541048562781[/C][C]0.13777052428139[/C][/ROW]
[ROW][C]23[/C][C]0.997266435634462[/C][C]0.00546712873107501[/C][C]0.00273356436553751[/C][/ROW]
[ROW][C]24[/C][C]0.99610736940205[/C][C]0.00778526119590007[/C][C]0.00389263059795003[/C][/ROW]
[ROW][C]25[/C][C]0.996803131893085[/C][C]0.0063937362138301[/C][C]0.00319686810691505[/C][/ROW]
[ROW][C]26[/C][C]0.999469144972622[/C][C]0.00106171005475576[/C][C]0.000530855027377878[/C][/ROW]
[ROW][C]27[/C][C]0.999756667657068[/C][C]0.000486664685863367[/C][C]0.000243332342931684[/C][/ROW]
[ROW][C]28[/C][C]0.999593274999228[/C][C]0.000813450001544452[/C][C]0.000406725000772226[/C][/ROW]
[ROW][C]29[/C][C]0.999557187677729[/C][C]0.000885624644542112[/C][C]0.000442812322271056[/C][/ROW]
[ROW][C]30[/C][C]0.999531292899235[/C][C]0.000937414201529526[/C][C]0.000468707100764763[/C][/ROW]
[ROW][C]31[/C][C]0.999473615177168[/C][C]0.00105276964566345[/C][C]0.000526384822831727[/C][/ROW]
[ROW][C]32[/C][C]0.999172547698349[/C][C]0.00165490460330168[/C][C]0.000827452301650839[/C][/ROW]
[ROW][C]33[/C][C]0.998880467154185[/C][C]0.00223906569163099[/C][C]0.0011195328458155[/C][/ROW]
[ROW][C]34[/C][C]0.998831724167703[/C][C]0.00233655166459484[/C][C]0.00116827583229742[/C][/ROW]
[ROW][C]35[/C][C]0.9988895294162[/C][C]0.00222094116760013[/C][C]0.00111047058380007[/C][/ROW]
[ROW][C]36[/C][C]0.998531709839721[/C][C]0.00293658032055855[/C][C]0.00146829016027928[/C][/ROW]
[ROW][C]37[/C][C]0.997982924629739[/C][C]0.0040341507405212[/C][C]0.0020170753702606[/C][/ROW]
[ROW][C]38[/C][C]0.997102878929715[/C][C]0.00579424214056925[/C][C]0.00289712107028462[/C][/ROW]
[ROW][C]39[/C][C]0.999379648514345[/C][C]0.0012407029713109[/C][C]0.000620351485655449[/C][/ROW]
[ROW][C]40[/C][C]0.999539976935858[/C][C]0.000920046128283445[/C][C]0.000460023064141723[/C][/ROW]
[ROW][C]41[/C][C]0.999328472209249[/C][C]0.00134305558150201[/C][C]0.000671527790751006[/C][/ROW]
[ROW][C]42[/C][C]0.999153356301868[/C][C]0.00169328739626496[/C][C]0.000846643698132482[/C][/ROW]
[ROW][C]43[/C][C]0.998828272292781[/C][C]0.00234345541443792[/C][C]0.00117172770721896[/C][/ROW]
[ROW][C]44[/C][C]0.998297690395497[/C][C]0.00340461920900697[/C][C]0.00170230960450348[/C][/ROW]
[ROW][C]45[/C][C]0.998727336159001[/C][C]0.00254532768199859[/C][C]0.0012726638409993[/C][/ROW]
[ROW][C]46[/C][C]0.998208311887667[/C][C]0.00358337622466533[/C][C]0.00179168811233266[/C][/ROW]
[ROW][C]47[/C][C]0.99811696161091[/C][C]0.00376607677818085[/C][C]0.00188303838909042[/C][/ROW]
[ROW][C]48[/C][C]0.997404299895642[/C][C]0.00519140020871565[/C][C]0.00259570010435782[/C][/ROW]
[ROW][C]49[/C][C]0.996407972051145[/C][C]0.00718405589770968[/C][C]0.00359202794885484[/C][/ROW]
[ROW][C]50[/C][C]0.999055089845003[/C][C]0.00188982030999378[/C][C]0.000944910154996892[/C][/ROW]
[ROW][C]51[/C][C]0.999909625870253[/C][C]0.00018074825949444[/C][C]9.03741297472199e-05[/C][/ROW]
[ROW][C]52[/C][C]0.99988114401413[/C][C]0.000237711971740951[/C][C]0.000118855985870475[/C][/ROW]
[ROW][C]53[/C][C]0.999852944067313[/C][C]0.000294111865373876[/C][C]0.000147055932686938[/C][/ROW]
[ROW][C]54[/C][C]0.999820691564114[/C][C]0.000358616871771244[/C][C]0.000179308435885622[/C][/ROW]
[ROW][C]55[/C][C]0.999944864966783[/C][C]0.000110270066433744[/C][C]5.5135033216872e-05[/C][/ROW]
[ROW][C]56[/C][C]0.999916106196689[/C][C]0.000167787606621535[/C][C]8.38938033107675e-05[/C][/ROW]
[ROW][C]57[/C][C]0.99989439533007[/C][C]0.000211209339860231[/C][C]0.000105604669930115[/C][/ROW]
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[ROW][C]59[/C][C]0.999952347345543[/C][C]9.53053089147683e-05[/C][C]4.76526544573841e-05[/C][/ROW]
[ROW][C]60[/C][C]0.999931370311451[/C][C]0.000137259377097156[/C][C]6.8629688548578e-05[/C][/ROW]
[ROW][C]61[/C][C]0.999903492912946[/C][C]0.000193014174108442[/C][C]9.65070870542209e-05[/C][/ROW]
[ROW][C]62[/C][C]0.999898127767787[/C][C]0.000203744464425088[/C][C]0.000101872232212544[/C][/ROW]
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[ROW][C]64[/C][C]0.999873741350164[/C][C]0.000252517299671878[/C][C]0.000126258649835939[/C][/ROW]
[ROW][C]65[/C][C]0.999825633113544[/C][C]0.000348733772912828[/C][C]0.000174366886456414[/C][/ROW]
[ROW][C]66[/C][C]0.999747065089527[/C][C]0.000505869820946855[/C][C]0.000252934910473427[/C][/ROW]
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[ROW][C]100[/C][C]0.999999430431674[/C][C]1.13913665222567e-06[/C][C]5.69568326112834e-07[/C][/ROW]
[ROW][C]101[/C][C]0.999999234322917[/C][C]1.53135416653585e-06[/C][C]7.65677083267926e-07[/C][/ROW]
[ROW][C]102[/C][C]0.999999153251033[/C][C]1.69349793388262e-06[/C][C]8.46748966941312e-07[/C][/ROW]
[ROW][C]103[/C][C]0.9999995948121[/C][C]8.10375800581614e-07[/C][C]4.05187900290807e-07[/C][/ROW]
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[ROW][C]112[/C][C]0.999997843963061[/C][C]4.31207387780865e-06[/C][C]2.15603693890432e-06[/C][/ROW]
[ROW][C]113[/C][C]0.999997260132704[/C][C]5.4797345930178e-06[/C][C]2.7398672965089e-06[/C][/ROW]
[ROW][C]114[/C][C]0.999995984117945[/C][C]8.03176411082883e-06[/C][C]4.01588205541441e-06[/C][/ROW]
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[ROW][C]116[/C][C]0.999995664074581[/C][C]8.67185083803078e-06[/C][C]4.33592541901539e-06[/C][/ROW]
[ROW][C]117[/C][C]0.999995065007294[/C][C]9.86998541236426e-06[/C][C]4.93499270618213e-06[/C][/ROW]
[ROW][C]118[/C][C]0.999997974649591[/C][C]4.05070081742986e-06[/C][C]2.02535040871493e-06[/C][/ROW]
[ROW][C]119[/C][C]0.999996949119205[/C][C]6.10176159091203e-06[/C][C]3.05088079545601e-06[/C][/ROW]
[ROW][C]120[/C][C]0.999996532102438[/C][C]6.93579512468437e-06[/C][C]3.46789756234218e-06[/C][/ROW]
[ROW][C]121[/C][C]0.999994861906849[/C][C]1.02761863015504e-05[/C][C]5.13809315077519e-06[/C][/ROW]
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[ROW][C]123[/C][C]0.999997366192859[/C][C]5.26761428202153e-06[/C][C]2.63380714101076e-06[/C][/ROW]
[ROW][C]124[/C][C]0.999999310317185[/C][C]1.37936563054603e-06[/C][C]6.89682815273017e-07[/C][/ROW]
[ROW][C]125[/C][C]0.999999960259304[/C][C]7.94813911366241e-08[/C][C]3.9740695568312e-08[/C][/ROW]
[ROW][C]126[/C][C]0.999999950629548[/C][C]9.87409041165368e-08[/C][C]4.93704520582684e-08[/C][/ROW]
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[ROW][C]128[/C][C]0.999999894833531[/C][C]2.10332937709286e-07[/C][C]1.05166468854643e-07[/C][/ROW]
[ROW][C]129[/C][C]0.999999876359643[/C][C]2.47280714681048e-07[/C][C]1.23640357340524e-07[/C][/ROW]
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[ROW][C]131[/C][C]0.999999697574068[/C][C]6.04851863006006e-07[/C][C]3.02425931503003e-07[/C][/ROW]
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[ROW][C]134[/C][C]0.9999999648525[/C][C]7.02950006270906e-08[/C][C]3.51475003135453e-08[/C][/ROW]
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[ROW][C]185[/C][C]0.999999999983716[/C][C]3.25680416586169e-11[/C][C]1.62840208293085e-11[/C][/ROW]
[ROW][C]186[/C][C]0.999999999970866[/C][C]5.82685385351301e-11[/C][C]2.9134269267565e-11[/C][/ROW]
[ROW][C]187[/C][C]0.999999999946992[/C][C]1.0601671522206e-10[/C][C]5.30083576110302e-11[/C][/ROW]
[ROW][C]188[/C][C]0.999999999902721[/C][C]1.94557233913662e-10[/C][C]9.7278616956831e-11[/C][/ROW]
[ROW][C]189[/C][C]0.999999999855084[/C][C]2.89831687316515e-10[/C][C]1.44915843658258e-10[/C][/ROW]
[ROW][C]190[/C][C]0.999999999860298[/C][C]2.79404882017448e-10[/C][C]1.39702441008724e-10[/C][/ROW]
[ROW][C]191[/C][C]0.999999999988008[/C][C]2.39846528067984e-11[/C][C]1.19923264033992e-11[/C][/ROW]
[ROW][C]192[/C][C]0.999999999976573[/C][C]4.68531001436628e-11[/C][C]2.34265500718314e-11[/C][/ROW]
[ROW][C]193[/C][C]0.999999999961458[/C][C]7.70832344421556e-11[/C][C]3.85416172210778e-11[/C][/ROW]
[ROW][C]194[/C][C]0.999999999925264[/C][C]1.4947251492896e-10[/C][C]7.473625746448e-11[/C][/ROW]
[ROW][C]195[/C][C]0.999999999862755[/C][C]2.74490640026002e-10[/C][C]1.37245320013001e-10[/C][/ROW]
[ROW][C]196[/C][C]0.999999999772498[/C][C]4.55003520851967e-10[/C][C]2.27501760425984e-10[/C][/ROW]
[ROW][C]197[/C][C]0.999999999764341[/C][C]4.71317430384454e-10[/C][C]2.35658715192227e-10[/C][/ROW]
[ROW][C]198[/C][C]0.999999999569058[/C][C]8.61884113907221e-10[/C][C]4.30942056953611e-10[/C][/ROW]
[ROW][C]199[/C][C]0.999999999580885[/C][C]8.38230793502823e-10[/C][C]4.19115396751412e-10[/C][/ROW]
[ROW][C]200[/C][C]0.999999999240875[/C][C]1.51825057678084e-09[/C][C]7.59125288390421e-10[/C][/ROW]
[ROW][C]201[/C][C]0.999999998599892[/C][C]2.80021652971229e-09[/C][C]1.40010826485615e-09[/C][/ROW]
[ROW][C]202[/C][C]0.999999997646746[/C][C]4.70650851715845e-09[/C][C]2.35325425857923e-09[/C][/ROW]
[ROW][C]203[/C][C]0.99999999613989[/C][C]7.72021979657075e-09[/C][C]3.86010989828537e-09[/C][/ROW]
[ROW][C]204[/C][C]0.999999993008559[/C][C]1.39828822031823e-08[/C][C]6.99144110159113e-09[/C][/ROW]
[ROW][C]205[/C][C]0.999999993038805[/C][C]1.39223908787333e-08[/C][C]6.96119543936665e-09[/C][/ROW]
[ROW][C]206[/C][C]0.999999987332225[/C][C]2.53355493849667e-08[/C][C]1.26677746924833e-08[/C][/ROW]
[ROW][C]207[/C][C]0.999999977808076[/C][C]4.43838483525394e-08[/C][C]2.21919241762697e-08[/C][/ROW]
[ROW][C]208[/C][C]0.999999996379576[/C][C]7.24084719296937e-09[/C][C]3.62042359648468e-09[/C][/ROW]
[ROW][C]209[/C][C]0.999999997813371[/C][C]4.3732576160274e-09[/C][C]2.1866288080137e-09[/C][/ROW]
[ROW][C]210[/C][C]0.999999996135457[/C][C]7.72908678431704e-09[/C][C]3.86454339215852e-09[/C][/ROW]
[ROW][C]211[/C][C]0.999999994509456[/C][C]1.09810877219128e-08[/C][C]5.49054386095641e-09[/C][/ROW]
[ROW][C]212[/C][C]0.999999997847698[/C][C]4.30460386040048e-09[/C][C]2.15230193020024e-09[/C][/ROW]
[ROW][C]213[/C][C]0.999999995804826[/C][C]8.39034731016063e-09[/C][C]4.19517365508031e-09[/C][/ROW]
[ROW][C]214[/C][C]0.999999991901827[/C][C]1.61963451224922e-08[/C][C]8.09817256124612e-09[/C][/ROW]
[ROW][C]215[/C][C]0.999999991149632[/C][C]1.77007356739467e-08[/C][C]8.85036783697334e-09[/C][/ROW]
[ROW][C]216[/C][C]0.999999989936613[/C][C]2.01267741441761e-08[/C][C]1.00633870720881e-08[/C][/ROW]
[ROW][C]217[/C][C]0.999999994963573[/C][C]1.00728538060962e-08[/C][C]5.0364269030481e-09[/C][/ROW]
[ROW][C]218[/C][C]0.999999990166102[/C][C]1.96677958634271e-08[/C][C]9.83389793171355e-09[/C][/ROW]
[ROW][C]219[/C][C]0.999999982850267[/C][C]3.42994668235754e-08[/C][C]1.71497334117877e-08[/C][/ROW]
[ROW][C]220[/C][C]0.999999981023497[/C][C]3.79530060160167e-08[/C][C]1.89765030080084e-08[/C][/ROW]
[ROW][C]221[/C][C]0.999999971263647[/C][C]5.74727050756928e-08[/C][C]2.87363525378464e-08[/C][/ROW]
[ROW][C]222[/C][C]0.999999945122662[/C][C]1.09754675393911e-07[/C][C]5.48773376969555e-08[/C][/ROW]
[ROW][C]223[/C][C]0.999999980362525[/C][C]3.92749506596844e-08[/C][C]1.96374753298422e-08[/C][/ROW]
[ROW][C]224[/C][C]0.999999965132965[/C][C]6.97340698911989e-08[/C][C]3.48670349455994e-08[/C][/ROW]
[ROW][C]225[/C][C]0.999999932779193[/C][C]1.34441613888871e-07[/C][C]6.72208069444356e-08[/C][/ROW]
[ROW][C]226[/C][C]0.999999885015306[/C][C]2.29969388068789e-07[/C][C]1.14984694034394e-07[/C][/ROW]
[ROW][C]227[/C][C]0.999999889875361[/C][C]2.20249277667905e-07[/C][C]1.10124638833952e-07[/C][/ROW]
[ROW][C]228[/C][C]0.999999912445161[/C][C]1.75109677753628e-07[/C][C]8.75548388768139e-08[/C][/ROW]
[ROW][C]229[/C][C]0.99999990392244[/C][C]1.92155119356807e-07[/C][C]9.60775596784036e-08[/C][/ROW]
[ROW][C]230[/C][C]0.99999997251478[/C][C]5.49704405184532e-08[/C][C]2.74852202592266e-08[/C][/ROW]
[ROW][C]231[/C][C]0.999999972385341[/C][C]5.52293178300229e-08[/C][C]2.76146589150114e-08[/C][/ROW]
[ROW][C]232[/C][C]0.999999943624259[/C][C]1.12751481927079e-07[/C][C]5.63757409635394e-08[/C][/ROW]
[ROW][C]233[/C][C]0.999999977161259[/C][C]4.56774826041979e-08[/C][C]2.2838741302099e-08[/C][/ROW]
[ROW][C]234[/C][C]0.999999954405977[/C][C]9.11880465218072e-08[/C][C]4.55940232609036e-08[/C][/ROW]
[ROW][C]235[/C][C]0.999999956496817[/C][C]8.70063649358619e-08[/C][C]4.3503182467931e-08[/C][/ROW]
[ROW][C]236[/C][C]0.999999921040693[/C][C]1.57918614760235e-07[/C][C]7.89593073801176e-08[/C][/ROW]
[ROW][C]237[/C][C]0.999999999513208[/C][C]9.73584397274438e-10[/C][C]4.86792198637219e-10[/C][/ROW]
[ROW][C]238[/C][C]0.99999999895426[/C][C]2.09148089288121e-09[/C][C]1.0457404464406e-09[/C][/ROW]
[ROW][C]239[/C][C]0.999999998106654[/C][C]3.78669112354307e-09[/C][C]1.89334556177154e-09[/C][/ROW]
[ROW][C]240[/C][C]0.999999998861219[/C][C]2.27756104968831e-09[/C][C]1.13878052484416e-09[/C][/ROW]
[ROW][C]241[/C][C]0.999999998692894[/C][C]2.61421199214355e-09[/C][C]1.30710599607178e-09[/C][/ROW]
[ROW][C]242[/C][C]0.999999996863818[/C][C]6.27236436728819e-09[/C][C]3.1361821836441e-09[/C][/ROW]
[ROW][C]243[/C][C]0.99999999619245[/C][C]7.61509957774036e-09[/C][C]3.80754978887018e-09[/C][/ROW]
[ROW][C]244[/C][C]0.99999999344098[/C][C]1.31180407990346e-08[/C][C]6.55902039951728e-09[/C][/ROW]
[ROW][C]245[/C][C]0.999999985370435[/C][C]2.92591294856221e-08[/C][C]1.4629564742811e-08[/C][/ROW]
[ROW][C]246[/C][C]0.999999964747896[/C][C]7.05042078700336e-08[/C][C]3.52521039350168e-08[/C][/ROW]
[ROW][C]247[/C][C]0.999999944733321[/C][C]1.10533358084306e-07[/C][C]5.52666790421528e-08[/C][/ROW]
[ROW][C]248[/C][C]0.999999925402646[/C][C]1.49194707544601e-07[/C][C]7.45973537723004e-08[/C][/ROW]
[ROW][C]249[/C][C]0.999999823686042[/C][C]3.52627915643913e-07[/C][C]1.76313957821957e-07[/C][/ROW]
[ROW][C]250[/C][C]0.999999680079236[/C][C]6.39841528942827e-07[/C][C]3.19920764471414e-07[/C][/ROW]
[ROW][C]251[/C][C]0.999999617081133[/C][C]7.65837733828771e-07[/C][C]3.82918866914386e-07[/C][/ROW]
[ROW][C]252[/C][C]0.999999200767348[/C][C]1.59846530312529e-06[/C][C]7.99232651562646e-07[/C][/ROW]
[ROW][C]253[/C][C]0.99999815146545[/C][C]3.69706909953045e-06[/C][C]1.84853454976523e-06[/C][/ROW]
[ROW][C]254[/C][C]0.999995759956596[/C][C]8.48008680762816e-06[/C][C]4.24004340381408e-06[/C][/ROW]
[ROW][C]255[/C][C]0.999996280350295[/C][C]7.43929941051044e-06[/C][C]3.71964970525522e-06[/C][/ROW]
[ROW][C]256[/C][C]0.999992122760652[/C][C]1.57544786951291e-05[/C][C]7.87723934756456e-06[/C][/ROW]
[ROW][C]257[/C][C]0.999991802028066[/C][C]1.63959438678313e-05[/C][C]8.19797193391566e-06[/C][/ROW]
[ROW][C]258[/C][C]0.999986808224697[/C][C]2.63835506056881e-05[/C][C]1.3191775302844e-05[/C][/ROW]
[ROW][C]259[/C][C]0.999977659447227[/C][C]4.46811055463078e-05[/C][C]2.23405527731539e-05[/C][/ROW]
[ROW][C]260[/C][C]0.999949371615312[/C][C]0.000101256769376764[/C][C]5.06283846883819e-05[/C][/ROW]
[ROW][C]261[/C][C]0.99990008753047[/C][C]0.00019982493906009[/C][C]9.99124695300449e-05[/C][/ROW]
[ROW][C]262[/C][C]0.99978439534239[/C][C]0.000431209315220669[/C][C]0.000215604657610335[/C][/ROW]
[ROW][C]263[/C][C]0.999536100603589[/C][C]0.000927798792822414[/C][C]0.000463899396411207[/C][/ROW]
[ROW][C]264[/C][C]0.99908297804293[/C][C]0.00183404391414097[/C][C]0.000917021957070486[/C][/ROW]
[ROW][C]265[/C][C]0.999369516945745[/C][C]0.0012609661085103[/C][C]0.000630483054255152[/C][/ROW]
[ROW][C]266[/C][C]0.998921237416854[/C][C]0.00215752516629199[/C][C]0.001078762583146[/C][/ROW]
[ROW][C]267[/C][C]0.999415582480381[/C][C]0.0011688350392378[/C][C]0.000584417519618902[/C][/ROW]
[ROW][C]268[/C][C]0.998932234309659[/C][C]0.00213553138068159[/C][C]0.00106776569034079[/C][/ROW]
[ROW][C]269[/C][C]0.999996157418255[/C][C]7.6851634904092e-06[/C][C]3.8425817452046e-06[/C][/ROW]
[ROW][C]270[/C][C]0.999997418627196[/C][C]5.16274560882927e-06[/C][C]2.58137280441463e-06[/C][/ROW]
[ROW][C]271[/C][C]0.999990070127496[/C][C]1.98597450077625e-05[/C][C]9.92987250388123e-06[/C][/ROW]
[ROW][C]272[/C][C]0.999965408338573[/C][C]6.91833228548778e-05[/C][C]3.45916614274389e-05[/C][/ROW]
[ROW][C]273[/C][C]0.999925161933407[/C][C]0.000149676133185622[/C][C]7.48380665928112e-05[/C][/ROW]
[ROW][C]274[/C][C]0.999768607025015[/C][C]0.000462785949970342[/C][C]0.000231392974985171[/C][/ROW]
[ROW][C]275[/C][C]0.99937519321859[/C][C]0.0012496135628208[/C][C]0.0006248067814104[/C][/ROW]
[ROW][C]276[/C][C]0.997275395952334[/C][C]0.00544920809533129[/C][C]0.00272460404766565[/C][/ROW]
[ROW][C]277[/C][C]0.994821224628071[/C][C]0.0103575507438572[/C][C]0.00517877537192858[/C][/ROW]
[ROW][C]278[/C][C]0.979405084904466[/C][C]0.0411898301910683[/C][C]0.0205949150955341[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201521&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201521&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
110.9684503314230640.06309933715387140.0315496685769357
120.9503049019462460.0993901961075080.049695098053754
130.966460372962320.06707925407536050.0335396270376803
140.9416166359875030.1167667280249940.0583833640124971
150.9163108231194760.1673783537610480.0836891768805239
160.8744901407513480.2510197184973050.125509859248652
170.9141478734815660.1717042530368670.0858521265184336
180.8820347147344680.2359305705310640.117965285265532
190.8639932427522440.2720135144955130.136006757247756
200.9163955458405360.1672089083189270.0836044541594637
210.8940413803478020.2119172393043960.105958619652198
220.862229475718610.2755410485627810.13777052428139
230.9972664356344620.005467128731075010.00273356436553751
240.996107369402050.007785261195900070.00389263059795003
250.9968031318930850.00639373621383010.00319686810691505
260.9994691449726220.001061710054755760.000530855027377878
270.9997566676570680.0004866646858633670.000243332342931684
280.9995932749992280.0008134500015444520.000406725000772226
290.9995571876777290.0008856246445421120.000442812322271056
300.9995312928992350.0009374142015295260.000468707100764763
310.9994736151771680.001052769645663450.000526384822831727
320.9991725476983490.001654904603301680.000827452301650839
330.9988804671541850.002239065691630990.0011195328458155
340.9988317241677030.002336551664594840.00116827583229742
350.99888952941620.002220941167600130.00111047058380007
360.9985317098397210.002936580320558550.00146829016027928
370.9979829246297390.00403415074052120.0020170753702606
380.9971028789297150.005794242140569250.00289712107028462
390.9993796485143450.00124070297131090.000620351485655449
400.9995399769358580.0009200461282834450.000460023064141723
410.9993284722092490.001343055581502010.000671527790751006
420.9991533563018680.001693287396264960.000846643698132482
430.9988282722927810.002343455414437920.00117172770721896
440.9982976903954970.003404619209006970.00170230960450348
450.9987273361590010.002545327681998590.0012726638409993
460.9982083118876670.003583376224665330.00179168811233266
470.998116961610910.003766076778180850.00188303838909042
480.9974042998956420.005191400208715650.00259570010435782
490.9964079720511450.007184055897709680.00359202794885484
500.9990550898450030.001889820309993780.000944910154996892
510.9999096258702530.000180748259494449.03741297472199e-05
520.999881144014130.0002377119717409510.000118855985870475
530.9998529440673130.0002941118653738760.000147055932686938
540.9998206915641140.0003586168717712440.000179308435885622
550.9999448649667830.0001102700664337445.5135033216872e-05
560.9999161061966890.0001677876066215358.38938033107675e-05
570.999894395330070.0002112093398602310.000105604669930115
580.9999683788248856.32423502297801e-053.162117511489e-05
590.9999523473455439.53053089147683e-054.76526544573841e-05
600.9999313703114510.0001372593770971566.8629688548578e-05
610.9999034929129460.0001930141741084429.65070870542209e-05
620.9998981277677870.0002037444644250880.000101872232212544
630.9999132329847070.0001735340305868638.67670152934316e-05
640.9998737413501640.0002525172996718780.000126258649835939
650.9998256331135440.0003487337729128280.000174366886456414
660.9997470650895270.0005058698209468550.000252934910473427
670.9996983455336750.0006033089326501080.000301654466325054
680.9995856722564190.0008286554871627610.000414327743581381
690.9994315145057640.001136970988471230.000568485494235615
700.9994503711697760.001099257660447640.00054962883022382
710.9992873551994090.001425289601182150.000712644800591074
720.9995763087398640.0008473825202715390.000423691260135769
730.9996608485662040.0006783028675914090.000339151433795704
740.9996582604397560.000683479120488020.00034173956024401
750.999690916078710.0006181678425792790.00030908392128964
760.999637875457070.000724249085860730.000362124542930365
770.999749309979020.0005013800419593040.000250690020979652
780.9996789389598060.0006421220803885320.000321061040194266
790.9996647962800180.0006704074399630920.000335203719981546
800.9995303304409720.0009393391180566370.000469669559028319
810.9993489121433040.001302175713392870.000651087856696436
820.9994705644075340.001058871184932640.000529435592466322
830.9996169813340960.0007660373318080380.000383018665904019
840.9996093301465830.0007813397068347740.000390669853417387
850.9995191653630080.0009616692739844790.000480834636992239
860.9995377610100670.0009244779798669280.000462238989933464
870.9994039611473120.001192077705375030.000596038852687516
880.9992889425412930.001422114917414240.000711057458707122
890.9998495424472680.000300915105464220.00015045755273211
900.9998131336189480.0003737327621047280.000186866381052364
910.9998179397436970.000364120512604960.00018206025630248
920.9997733599101290.0004532801797412390.000226640089870619
930.9997722912236640.0004554175526730020.000227708776336501
940.9996914825683470.0006170348633067060.000308517431653353
950.9996186416415710.0007627167168582710.000381358358429135
960.999533789401670.0009324211966603780.000466210598330189
970.9994964246772770.001007150645446770.000503575322723383
980.9999996924574916.15085017959203e-073.07542508979601e-07
990.9999996064184987.87163002908158e-073.93581501454079e-07
1000.9999994304316741.13913665222567e-065.69568326112834e-07
1010.9999992343229171.53135416653585e-067.65677083267926e-07
1020.9999991532510331.69349793388262e-068.46748966941312e-07
1030.99999959481218.10375800581614e-074.05187900290807e-07
1040.999999408823851.18235230017543e-065.91176150087715e-07
1050.9999994446394341.11072113267407e-065.55360566337035e-07
1060.9999993756404241.2487191516213e-066.24359575810648e-07
1070.9999994148289021.17034219551592e-065.85171097757958e-07
1080.9999991614211731.67715765376085e-068.38578826880426e-07
1090.9999991768776241.6462447516096e-068.23122375804799e-07
1100.9999987350720732.52985585371083e-061.26492792685542e-06
1110.9999982944761893.41104762270189e-061.70552381135094e-06
1120.9999978439630614.31207387780865e-062.15603693890432e-06
1130.9999972601327045.4797345930178e-062.7398672965089e-06
1140.9999959841179458.03176411082883e-064.01588205541441e-06
1150.9999953287153219.34256935815176e-064.67128467907588e-06
1160.9999956640745818.67185083803078e-064.33592541901539e-06
1170.9999950650072949.86998541236426e-064.93499270618213e-06
1180.9999979746495914.05070081742986e-062.02535040871493e-06
1190.9999969491192056.10176159091203e-063.05088079545601e-06
1200.9999965321024386.93579512468437e-063.46789756234218e-06
1210.9999948619068491.02761863015504e-055.13809315077519e-06
1220.9999976780875214.6438249570186e-062.3219124785093e-06
1230.9999973661928595.26761428202153e-062.63380714101076e-06
1240.9999993103171851.37936563054603e-066.89682815273017e-07
1250.9999999602593047.94813911366241e-083.9740695568312e-08
1260.9999999506295489.87409041165368e-084.93704520582684e-08
1270.9999999277456331.44508734318665e-077.22543671593326e-08
1280.9999998948335312.10332937709286e-071.05166468854643e-07
1290.9999998763596432.47280714681048e-071.23640357340524e-07
1300.9999998046376683.90724663458236e-071.95362331729118e-07
1310.9999996975740686.04851863006006e-073.02425931503003e-07
1320.9999998349209453.30158110447054e-071.65079055223527e-07
1330.9999997762776714.4744465738773e-072.23722328693865e-07
1340.99999996485257.02950006270906e-083.51475003135453e-08
1350.999999949461441.01077119714663e-075.05385598573313e-08
1360.9999999872387392.5522521316315e-081.27612606581575e-08
1370.9999999790918284.18163443813272e-082.09081721906636e-08
1380.9999999908648571.82702855543192e-089.13514277715962e-09
1390.9999999886269242.27461518445938e-081.13730759222969e-08
1400.9999999826056623.4788676676067e-081.73943383380335e-08
1410.9999999814254023.71491964828356e-081.85745982414178e-08
1420.9999999713637515.72724984640005e-082.86362492320002e-08
1430.9999999554256278.91487450728878e-084.45743725364439e-08
1440.9999999338551161.322897678332e-076.61448839165999e-08
1450.9999999051548371.89690324976677e-079.48451624883385e-08
1460.9999998794781792.41043641655984e-071.20521820827992e-07
1470.9999998180306933.63938613074069e-071.81969306537034e-07
1480.99999973551815.28963800638919e-072.64481900319459e-07
1490.9999996800278466.39944308874332e-073.19972154437166e-07
1500.999999498966261.00206748073085e-065.01033740365423e-07
1510.9999994328199611.13436007908325e-065.67180039541627e-07
1520.9999992833178661.43336426785416e-067.16682133927082e-07
1530.9999990192146081.96157078351525e-069.80785391757625e-07
1540.9999985280042742.9439914520273e-061.47199572601365e-06
1550.999998109486813.78102638035162e-061.89051319017581e-06
1560.9999993832517241.23349655177371e-066.16748275886855e-07
1570.9999993326472711.33470545883531e-066.67352729417653e-07
1580.9999992651125151.46977497075937e-067.34887485379684e-07
1590.9999991596947711.68061045818745e-068.40305229093723e-07
1600.9999990880730681.82385386320598e-069.11926931602989e-07
1610.9999991250032821.74999343641633e-068.74996718208163e-07
1620.9999987334944852.53301102949698e-061.26650551474849e-06
1630.9999985615613512.87687729865629e-061.43843864932815e-06
1640.9999982208213573.55835728667602e-061.77917864333801e-06
1650.9999983833173493.23336530221211e-061.61668265110605e-06
1660.9999993290942861.34181142751189e-066.70905713755947e-07
1670.9999989975777322.00484453566412e-061.00242226783206e-06
1680.9999985601437042.87971259110746e-061.43985629555373e-06
1690.9999983884266483.22314670429249e-061.61157335214625e-06
1700.9999999902390621.95218751556405e-089.76093757782027e-09
1710.9999999836438163.27123683515606e-081.63561841757803e-08
1720.9999999769204694.61590627237597e-082.30795313618799e-08
1730.9999999616939497.6612102739748e-083.8306051369874e-08
1740.9999999843551933.12896134232592e-081.56448067116296e-08
1750.9999999997635234.72954581236108e-102.36477290618054e-10
1760.9999999996054897.89021771371081e-103.94510885685541e-10
1770.9999999996429917.14018144024478e-103.57009072012239e-10
1780.9999999993922681.21546462558824e-096.07732312794118e-10
1790.9999999989316042.13679247971731e-091.06839623985865e-09
1800.9999999996207277.58546808608967e-103.79273404304483e-10
1810.9999999995373939.2521301469216e-104.6260650734608e-10
1820.999999999964367.12801631186296e-113.56400815593148e-11
1830.999999999933431.33139714042999e-106.65698570214993e-11
1840.9999999999460981.07804597305845e-105.39022986529224e-11
1850.9999999999837163.25680416586169e-111.62840208293085e-11
1860.9999999999708665.82685385351301e-112.9134269267565e-11
1870.9999999999469921.0601671522206e-105.30083576110302e-11
1880.9999999999027211.94557233913662e-109.7278616956831e-11
1890.9999999998550842.89831687316515e-101.44915843658258e-10
1900.9999999998602982.79404882017448e-101.39702441008724e-10
1910.9999999999880082.39846528067984e-111.19923264033992e-11
1920.9999999999765734.68531001436628e-112.34265500718314e-11
1930.9999999999614587.70832344421556e-113.85416172210778e-11
1940.9999999999252641.4947251492896e-107.473625746448e-11
1950.9999999998627552.74490640026002e-101.37245320013001e-10
1960.9999999997724984.55003520851967e-102.27501760425984e-10
1970.9999999997643414.71317430384454e-102.35658715192227e-10
1980.9999999995690588.61884113907221e-104.30942056953611e-10
1990.9999999995808858.38230793502823e-104.19115396751412e-10
2000.9999999992408751.51825057678084e-097.59125288390421e-10
2010.9999999985998922.80021652971229e-091.40010826485615e-09
2020.9999999976467464.70650851715845e-092.35325425857923e-09
2030.999999996139897.72021979657075e-093.86010989828537e-09
2040.9999999930085591.39828822031823e-086.99144110159113e-09
2050.9999999930388051.39223908787333e-086.96119543936665e-09
2060.9999999873322252.53355493849667e-081.26677746924833e-08
2070.9999999778080764.43838483525394e-082.21919241762697e-08
2080.9999999963795767.24084719296937e-093.62042359648468e-09
2090.9999999978133714.3732576160274e-092.1866288080137e-09
2100.9999999961354577.72908678431704e-093.86454339215852e-09
2110.9999999945094561.09810877219128e-085.49054386095641e-09
2120.9999999978476984.30460386040048e-092.15230193020024e-09
2130.9999999958048268.39034731016063e-094.19517365508031e-09
2140.9999999919018271.61963451224922e-088.09817256124612e-09
2150.9999999911496321.77007356739467e-088.85036783697334e-09
2160.9999999899366132.01267741441761e-081.00633870720881e-08
2170.9999999949635731.00728538060962e-085.0364269030481e-09
2180.9999999901661021.96677958634271e-089.83389793171355e-09
2190.9999999828502673.42994668235754e-081.71497334117877e-08
2200.9999999810234973.79530060160167e-081.89765030080084e-08
2210.9999999712636475.74727050756928e-082.87363525378464e-08
2220.9999999451226621.09754675393911e-075.48773376969555e-08
2230.9999999803625253.92749506596844e-081.96374753298422e-08
2240.9999999651329656.97340698911989e-083.48670349455994e-08
2250.9999999327791931.34441613888871e-076.72208069444356e-08
2260.9999998850153062.29969388068789e-071.14984694034394e-07
2270.9999998898753612.20249277667905e-071.10124638833952e-07
2280.9999999124451611.75109677753628e-078.75548388768139e-08
2290.999999903922441.92155119356807e-079.60775596784036e-08
2300.999999972514785.49704405184532e-082.74852202592266e-08
2310.9999999723853415.52293178300229e-082.76146589150114e-08
2320.9999999436242591.12751481927079e-075.63757409635394e-08
2330.9999999771612594.56774826041979e-082.2838741302099e-08
2340.9999999544059779.11880465218072e-084.55940232609036e-08
2350.9999999564968178.70063649358619e-084.3503182467931e-08
2360.9999999210406931.57918614760235e-077.89593073801176e-08
2370.9999999995132089.73584397274438e-104.86792198637219e-10
2380.999999998954262.09148089288121e-091.0457404464406e-09
2390.9999999981066543.78669112354307e-091.89334556177154e-09
2400.9999999988612192.27756104968831e-091.13878052484416e-09
2410.9999999986928942.61421199214355e-091.30710599607178e-09
2420.9999999968638186.27236436728819e-093.1361821836441e-09
2430.999999996192457.61509957774036e-093.80754978887018e-09
2440.999999993440981.31180407990346e-086.55902039951728e-09
2450.9999999853704352.92591294856221e-081.4629564742811e-08
2460.9999999647478967.05042078700336e-083.52521039350168e-08
2470.9999999447333211.10533358084306e-075.52666790421528e-08
2480.9999999254026461.49194707544601e-077.45973537723004e-08
2490.9999998236860423.52627915643913e-071.76313957821957e-07
2500.9999996800792366.39841528942827e-073.19920764471414e-07
2510.9999996170811337.65837733828771e-073.82918866914386e-07
2520.9999992007673481.59846530312529e-067.99232651562646e-07
2530.999998151465453.69706909953045e-061.84853454976523e-06
2540.9999957599565968.48008680762816e-064.24004340381408e-06
2550.9999962803502957.43929941051044e-063.71964970525522e-06
2560.9999921227606521.57544786951291e-057.87723934756456e-06
2570.9999918020280661.63959438678313e-058.19797193391566e-06
2580.9999868082246972.63835506056881e-051.3191775302844e-05
2590.9999776594472274.46811055463078e-052.23405527731539e-05
2600.9999493716153120.0001012567693767645.06283846883819e-05
2610.999900087530470.000199824939060099.99124695300449e-05
2620.999784395342390.0004312093152206690.000215604657610335
2630.9995361006035890.0009277987928224140.000463899396411207
2640.999082978042930.001834043914140970.000917021957070486
2650.9993695169457450.00126096610851030.000630483054255152
2660.9989212374168540.002157525166291990.001078762583146
2670.9994155824803810.00116883503923780.000584417519618902
2680.9989322343096590.002135531380681590.00106776569034079
2690.9999961574182557.6851634904092e-063.8425817452046e-06
2700.9999974186271965.16274560882927e-062.58137280441463e-06
2710.9999900701274961.98597450077625e-059.92987250388123e-06
2720.9999654083385736.91833228548778e-053.45916614274389e-05
2730.9999251619334070.0001496761331856227.48380665928112e-05
2740.9997686070250150.0004627859499703420.000231392974985171
2750.999375193218590.00124961356282080.0006248067814104
2760.9972753959523340.005449208095331290.00272460404766565
2770.9948212246280710.01035755074385720.00517877537192858
2780.9794050849044660.04118983019106830.0205949150955341






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2540.947761194029851NOK
5% type I error level2560.955223880597015NOK
10% type I error level2590.966417910447761NOK

\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 & 254 & 0.947761194029851 & NOK \tabularnewline
5% type I error level & 256 & 0.955223880597015 & NOK \tabularnewline
10% type I error level & 259 & 0.966417910447761 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201521&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]254[/C][C]0.947761194029851[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]256[/C][C]0.955223880597015[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]259[/C][C]0.966417910447761[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201521&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201521&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 level2540.947761194029851NOK
5% type I error level2560.955223880597015NOK
10% type I error level2590.966417910447761NOK


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')
}