Free Statistics

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Author's title

Author*The author of this computation has been verified*
R Software Module--
Title produced by softwareMultiple Regression
Date of computationTue, 11 Dec 2012 06:53:30 -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/11/t13552268246j47raohshv774w.htm/, Retrieved Thu, 28 Mar 2024 12:44:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=198443, Retrieved Thu, 28 Mar 2024 12:44:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact83
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [] [2010-12-05 18:56:24] [b98453cac15ba1066b407e146608df68]
- R PD  [Multiple Regression] [] [2011-12-11 13:34:46] [71981af30b475eff259f311228330cd7]
-  M        [Multiple Regression] [] [2012-12-11 11:53:30] [8320012c80513ed9c03312c2688c5a59] [Current]
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Dataseries X:
210907	56	396	81	3	79	30
120982	56	297	55	4	58	28
176508	54	559	50	12	60	38
179321	89	967	125	2	108	30
123185	40	270	40	1	49	22
52746	25	143	37	3	0	26
385534	92	1562	63	0	121	25
33170	18	109	44	0	1	18
101645	63	371	88	0	20	11
149061	44	656	66	5	43	26
165446	33	511	57	0	69	25
237213	84	655	74	0	78	38
173326	88	465	49	7	86	44
133131	55	525	52	7	44	30
258873	60	885	88	3	104	40
180083	66	497	36	9	63	34
324799	154	1436	108	0	158	47
230964	53	612	43	4	102	30
236785	119	865	75	3	77	31
135473	41	385	32	0	82	23
202925	61	567	44	7	115	36
215147	58	639	85	0	101	36
344297	75	963	86	1	80	30
153935	33	398	56	5	50	25
132943	40	410	50	7	83	39
174724	92	966	135	0	123	34
174415	100	801	63	0	73	31
225548	112	892	81	5	81	31
223632	73	513	52	0	105	33
124817	40	469	44	0	47	25
221698	45	683	113	0	105	33
210767	60	643	39	3	94	35
170266	62	535	73	4	44	42
260561	75	625	48	1	114	43
84853	31	264	33	4	38	30
294424	77	992	59	2	107	33
101011	34	238	41	0	30	13
215641	46	818	69	0	71	32
325107	99	937	64	0	84	36
7176	17	70	1	0	0	0
167542	66	507	59	2	59	28
106408	30	260	32	1	33	14
96560	76	503	129	0	42	17
265769	146	927	37	2	96	32
269651	67	1269	31	10	106	30
149112	56	537	65	6	56	35
175824	107	910	107	0	57	20
152871	58	532	74	5	59	28
111665	34	345	54	4	39	28
116408	61	918	76	1	34	39
362301	119	1635	715	2	76	34
78800	42	330	57	2	20	26
183167	66	557	66	0	91	39
277965	89	1178	106	8	115	39
150629	44	740	54	3	85	33
168809	66	452	32	0	76	28
24188	24	218	20	0	8	4
329267	259	764	71	8	79	39
65029	17	255	21	5	21	18
101097	64	454	70	3	30	14
218946	41	866	112	1	76	29
244052	68	574	66	5	101	44
341570	168	1276	190	1	94	21
103597	43	379	66	1	27	16
233328	132	825	165	5	92	28
256462	105	798	56	0	123	35
206161	71	663	61	12	75	28
311473	112	1069	53	8	128	38
235800	94	921	127	8	105	23
177939	82	858	63	8	55	36
207176	70	711	38	8	56	32
196553	57	503	50	2	41	29
174184	53	382	52	0	72	25
143246	103	464	42	5	67	27
187559	121	717	76	8	75	36
187681	62	690	67	2	114	28
119016	52	462	50	5	118	23
182192	52	657	53	12	77	40
73566	32	385	39	6	22	23
194979	62	577	50	7	66	40
167488	45	619	77	2	69	28
143756	46	479	57	0	105	34
275541	63	817	73	4	116	33
243199	75	752	34	3	88	28
182999	88	430	39	6	73	34
135649	46	451	46	2	99	30
152299	53	537	63	0	62	33
120221	37	519	35	1	53	22
346485	90	1000	106	0	118	38
145790	63	637	43	5	30	26
193339	78	465	47	2	100	35
80953	25	437	31	0	49	8
122774	45	711	162	0	24	24
130585	46	299	57	5	67	29
112611	41	248	36	0	46	20
286468	144	1162	263	1	57	29
241066	82	714	78	0	75	45
148446	91	905	63	1	135	37
204713	71	649	54	1	68	33
182079	63	512	63	2	124	33
140344	53	472	77	6	33	25
220516	62	905	79	1	98	32
243060	63	786	110	4	58	29
162765	32	489	56	2	68	28
182613	39	479	56	3	81	28
232138	62	617	43	0	131	31
265318	117	925	111	10	110	52
85574	34	351	71	0	37	21
310839	92	1144	62	9	130	24
225060	93	669	56	7	93	41
232317	54	707	74	0	118	33
144966	144	458	60	0	39	32
43287	14	214	43	4	13	19
155754	61	599	68	4	74	20
164709	109	572	53	0	81	31
201940	38	897	87	0	109	31
235454	73	819	46	0	151	32
220801	75	720	105	1	51	18
99466	50	273	32	0	28	23
92661	61	508	133	1	40	17
133328	55	506	79	0	56	20
61361	77	451	51	0	27	12
125930	75	699	207	4	37	17
100750	72	407	67	0	83	30
224549	50	465	47	4	54	31
82316	32	245	34	4	27	10
102010	53	370	66	3	28	13
101523	42	316	76	0	59	22
243511	71	603	65	0	133	42
22938	10	154	9	0	12	1
41566	35	229	42	5	0	9
152474	65	577	45	0	106	32
61857	25	192	25	4	23	11
99923	66	617	115	0	44	25
132487	41	411	97	0	71	36
317394	86	975	53	1	116	31
21054	16	146	2	0	4	0
209641	42	705	52	5	62	24
22648	19	184	44	0	12	13
31414	19	200	22	0	18	8
46698	45	274	35	0	14	13
131698	65	502	74	0	60	19
91735	35	382	103	0	7	18
244749	95	964	144	2	98	33
184510	49	537	60	7	64	40
79863	37	438	134	1	29	22
128423	64	369	89	8	32	38
97839	38	417	42	2	25	24
38214	34	276	52	0	16	8
151101	32	514	98	2	48	35
272458	65	822	99	0	100	43
172494	52	389	52	0	46	43
108043	62	466	29	1	45	14
328107	65	1255	125	3	129	41
250579	83	694	106	0	130	38
351067	95	1024	95	3	136	45
158015	29	400	40	0	59	31
98866	18	397	140	0	25	13
85439	33	350	43	0	32	28
229242	247	719	128	4	63	31
351619	139	1277	142	4	95	40
84207	29	356	73	11	14	30
120445	118	457	72	0	36	16
324598	110	1402	128	0	113	37
131069	67	600	61	4	47	30
204271	42	480	73	0	92	35
165543	65	595	148	1	70	32
141722	94	436	64	0	19	27
116048	64	230	45	0	50	20
250047	81	651	58	0	41	18
299775	95	1367	97	9	91	31
195838	67	564	50	1	111	31
173260	63	716	37	3	41	21
254488	83	747	50	10	120	39
104389	45	467	105	5	135	41
136084	30	671	69	0	27	13
199476	70	861	46	2	87	32
92499	32	319	57	0	25	18
224330	83	612	52	1	131	39
135781	31	433	98	2	45	14
74408	67	434	61	4	29	7
81240	66	503	89	0	58	17
14688	10	85	0	0	4	0
181633	70	564	48	2	47	30
271856	103	824	91	1	109	37
7199	5	74	0	0	7	0
46660	20	259	7	0	12	5
17547	5	69	3	0	0	1
133368	36	535	54	1	37	16
95227	34	239	70	0	37	32
152601	48	438	36	2	46	24
98146	40	459	37	0	15	17
79619	43	426	123	3	42	11
59194	31	288	247	6	7	24
139942	42	498	46	0	54	22
118612	46	454	72	2	54	12
72880	33	376	41	0	14	19
65475	18	225	24	2	16	13
99643	55	555	45	1	33	17
71965	35	252	33	1	32	15
77272	59	208	27	2	21	16
49289	19	130	36	1	15	24
135131	66	481	87	0	38	15
108446	60	389	90	1	22	17
89746	36	565	114	3	28	18
44296	25	173	31	0	10	20
77648	47	278	45	0	31	16
181528	54	609	69	0	32	16
134019	53	422	51	0	32	18
124064	40	445	34	1	43	22
92630	40	387	60	4	27	8
121848	39	339	45	0	37	17
52915	14	181	54	0	20	18
81872	45	245	25	0	32	16
58981	36	384	38	7	0	23
53515	28	212	52	2	5	22
60812	44	399	67	0	26	13
56375	30	229	74	7	10	13
65490	22	224	38	3	27	16
80949	17	203	30	0	11	16
76302	31	333	26	0	29	20
104011	55	384	67	6	25	22
98104	54	636	132	2	55	17
67989	21	185	42	0	23	18
30989	14	93	35	0	5	17
135458	81	581	118	3	43	12
73504	35	248	68	0	23	7
63123	43	304	43	1	34	17
61254	46	344	76	1	36	14
74914	30	407	64	0	35	23
31774	23	170	48	1	0	17
81437	38	312	64	0	37	14
87186	54	507	56	0	28	15
50090	20	224	71	0	16	17
65745	53	340	75	0	26	21
56653	45	168	39	0	38	18
158399	39	443	42	0	23	18
46455	20	204	39	0	22	17
73624	24	367	93	0	30	17
38395	31	210	38	0	16	16
91899	35	335	60	0	18	15
139526	151	364	71	0	28	21
52164	52	178	52	0	32	16
51567	30	206	27	2	21	14
70551	31	279	59	0	23	15
84856	29	387	40	1	29	17
102538	57	490	79	1	50	15
86678	40	238	44	0	12	15
85709	44	343	65	0	21	10
34662	25	232	10	0	18	6
150580	77	530	124	0	27	22
99611	35	291	81	0	41	21
19349	11	67	15	0	13	1
99373	63	397	92	1	12	18
86230	44	467	42	0	21	17
30837	19	178	10	0	8	4
31706	13	175	24	0	26	10
89806	42	299	64	0	27	16
62088	38	154	45	1	13	16
40151	29	106	22	0	16	9
27634	20	189	56	0	2	16
76990	27	194	94	0	42	17
37460	20	135	19	0	5	7
54157	19	201	35	0	37	15
49862	37	207	32	0	17	14
84337	26	280	35	0	38	14
64175	42	260	48	0	37	18
59382	49	227	49	0	29	12
119308	30	239	48	0	32	16
76702	49	333	62	0	35	21
103425	67	428	96	1	17	19
70344	28	230	45	0	20	16
43410	19	292	63	0	7	1
104838	49	350	71	1	46	16
62215	27	186	26	0	24	10
69304	30	326	48	6	40	19
53117	22	155	29	3	3	12
19764	12	75	19	1	10	2
86680	31	361	45	2	37	14
84105	20	261	45	0	17	17
77945	20	299	67	0	28	19
89113	39	300	30	0	19	14
91005	29	450	36	3	29	11
40248	16	183	34	1	8	4
64187	27	238	36	0	10	16
50857	21	165	34	0	15	20
56613	19	234	37	1	15	12
62792	35	176	46	0	28	15
72535	14	329	44	0	17	16




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time15 seconds
R Server'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 15 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198443&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]15 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198443&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198443&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time15 seconds
R Server'George Udny Yule' @ yule.wessa.net







Multiple Linear Regression - Estimated Regression Equation
time_in_rfc[t] = -11367.8826271148 + 324.490635749563logins[t] + 155.339375774215compendium_views_info[t] -64.3642296099919compendium_views_pr[t] -462.491964805429shared_compendiums[t] + 486.62621156695blogged_computations[t] + 1477.68937121081compendiums_reviewed[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
time_in_rfc[t] =  -11367.8826271148 +  324.490635749563logins[t] +  155.339375774215compendium_views_info[t] -64.3642296099919compendium_views_pr[t] -462.491964805429shared_compendiums[t] +  486.62621156695blogged_computations[t] +  1477.68937121081compendiums_reviewed[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198443&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]time_in_rfc[t] =  -11367.8826271148 +  324.490635749563logins[t] +  155.339375774215compendium_views_info[t] -64.3642296099919compendium_views_pr[t] -462.491964805429shared_compendiums[t] +  486.62621156695blogged_computations[t] +  1477.68937121081compendiums_reviewed[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198443&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198443&T=1

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Estimated Regression Equation
time_in_rfc[t] = -11367.8826271148 + 324.490635749563logins[t] + 155.339375774215compendium_views_info[t] -64.3642296099919compendium_views_pr[t] -462.491964805429shared_compendiums[t] + 486.62621156695blogged_computations[t] + 1477.68937121081compendiums_reviewed[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-11367.88262711484373.833639-2.59910.009840.00492
logins324.49063574956369.9991774.63565e-063e-06
compendium_views_info155.33937577421511.50072613.506900
compendium_views_pr-64.364229609991939.248221-1.63990.1021350.051068
shared_compendiums-462.491964805429678.661831-0.68150.4961290.248065
blogged_computations486.6262115669587.0490475.590300
compendiums_reviewed1477.68937121081264.4105875.588600

\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) & -11367.8826271148 & 4373.833639 & -2.5991 & 0.00984 & 0.00492 \tabularnewline
logins & 324.490635749563 & 69.999177 & 4.6356 & 5e-06 & 3e-06 \tabularnewline
compendium_views_info & 155.339375774215 & 11.500726 & 13.5069 & 0 & 0 \tabularnewline
compendium_views_pr & -64.3642296099919 & 39.248221 & -1.6399 & 0.102135 & 0.051068 \tabularnewline
shared_compendiums & -462.491964805429 & 678.661831 & -0.6815 & 0.496129 & 0.248065 \tabularnewline
blogged_computations & 486.62621156695 & 87.049047 & 5.5903 & 0 & 0 \tabularnewline
compendiums_reviewed & 1477.68937121081 & 264.410587 & 5.5886 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198443&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]-11367.8826271148[/C][C]4373.833639[/C][C]-2.5991[/C][C]0.00984[/C][C]0.00492[/C][/ROW]
[ROW][C]logins[/C][C]324.490635749563[/C][C]69.999177[/C][C]4.6356[/C][C]5e-06[/C][C]3e-06[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]155.339375774215[/C][C]11.500726[/C][C]13.5069[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]-64.3642296099919[/C][C]39.248221[/C][C]-1.6399[/C][C]0.102135[/C][C]0.051068[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]-462.491964805429[/C][C]678.661831[/C][C]-0.6815[/C][C]0.496129[/C][C]0.248065[/C][/ROW]
[ROW][C]blogged_computations[/C][C]486.62621156695[/C][C]87.049047[/C][C]5.5903[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]1477.68937121081[/C][C]264.410587[/C][C]5.5886[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198443&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198443&T=2

As an alternative you can also use a 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)-11367.88262711484373.833639-2.59910.009840.00492
logins324.49063574956369.9991774.63565e-063e-06
compendium_views_info155.33937577421511.50072613.506900
compendium_views_pr-64.364229609991939.248221-1.63990.1021350.051068
shared_compendiums-462.491964805429678.661831-0.68150.4961290.248065
blogged_computations486.6262115669587.0490475.590300
compendiums_reviewed1477.68937121081264.4105875.588600







Multiple Linear Regression - Regression Statistics
Multiple R0.939892511812799
R-squared0.883397933761772
Adjusted R-squared0.880917038735427
F-TEST (value)356.080335677544
F-TEST (DF numerator)6
F-TEST (DF denominator)282
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation28414.0107815803
Sum Squared Residuals227674394452.205

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.939892511812799 \tabularnewline
R-squared & 0.883397933761772 \tabularnewline
Adjusted R-squared & 0.880917038735427 \tabularnewline
F-TEST (value) & 356.080335677544 \tabularnewline
F-TEST (DF numerator) & 6 \tabularnewline
F-TEST (DF denominator) & 282 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 28414.0107815803 \tabularnewline
Sum Squared Residuals & 227674394452.205 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198443&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.939892511812799[/C][/ROW]
[ROW][C]R-squared[/C][C]0.883397933761772[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.880917038735427[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]356.080335677544[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]6[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]282[/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]28414.0107815803[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]227674394452.205[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198443&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198443&T=3

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Regression Statistics
Multiple R0.939892511812799
R-squared0.883397933761772
Adjusted R-squared0.880917038735427
F-TEST (value)356.080335677544
F-TEST (DF numerator)6
F-TEST (DF denominator)282
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation28414.0107815803
Sum Squared Residuals227674394452.205







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1210907144491.15913873866415.8408612623
2120982117149.0097568173832.9902431828
3176508169570.9765030116937.02349698898
4179321255640.759682957-76319.7596829575
512318596870.163646119226314.8363538808
65274653608.8852638322-862.88526383218
7385534352894.42023561132639.5797643892
83317035657.9495662887-2487.94956628872
910164587028.990946320114616.0090536799
10149061157596.687624324-8535.68762432447
11165446145569.41116386519876.5888361349
12237213206982.70952505330230.290474947
13173326189896.998577363-16570.9985773626
14133131147190.125372487-14059.1253724867
15258873248242.07582933910630.9241706609
16180083161671.51909281818411.4809071818
17324799401058.023966698-76259.0239666981
18230964190246.74402513440717.2559748663
19236785238678.858754804-1893.85875480395
20135473133572.4426505091900.55734949101
21202925199592.8340548993332.16594510058
22215147203589.54058108511557.4594189148
23344297239823.696275087104473.303724913
24153935116522.0680871937412.9319128105
25132943156865.092673437-23922.0926734369
26174724269950.38450629-95226.3845062904
27174415222785.158429481-48370.1584294809
28225548241236.922989458-15688.9229894578
29223632188521.59507954335110.4049204573
30124817131447.550162052-6630.55016205196
31221698201917.33315396219780.666846038
32210767201549.0851711459217.91482885491
33170266168783.0531076121482.94689238801
34260561225520.08100759935040.9189924009
358485398549.4120250315-13696.4120250315
36294424263824.83750464330599.1624953569
3710101167805.38518137333205.614818627
38215641208021.6850575837619.31494241689
39325107256263.79385270568843.2061472949
4071764957.850255212872218.14974478713
41167542154169.33824963613372.6617503641
4210640872979.243013003633428.7569869964
4396560128685.146280989-32125.146280989
44265769270703.067299011-4934.06729901148
45269651296791.506622042-27140.506622042
46149112162232.40689226-13120.4068922599
47175824215115.956267887-39291.9562678875
48152871153103.958219429-232.958219428576
49111665108284.9720173273380.0279826729
50116408219848.596369671-103440.596369671
51362301321506.00501742640794.9949825743
527880097081.4209452976-18281.4209452976
53183167194237.363214149-11070.3632141489
54277965303570.92436694-25605.9243669401
55150629203124.676358577-52495.6763585769
56168809156561.13630777312247.8636922272
572418838800.3591348327-14612.3591348327
58329267279158.0352937850108.9647062198
596502966913.4494819163-1884.44948191624
60101097109317.060239195-8220.06023919508
61218946208625.43102216510320.5689778352
62244052207469.36302150636582.6369784939
63341570305442.23275872736127.7672412732
6410359793530.244661159710066.7553388403
65233328232832.222453941495.777546058647
66256462254634.2111513671827.78884863324
67206161183057.10532695823103.8946730418
68311473302361.972578289111.02742172025
69235800235410.217094862389.78290513768
70177939220727.910734525-42788.9107345245
71207176190184.10933369416991.8906663063
72196553143925.26065428952627.7393457114
73174184133802.14418673340381.8558132666
74143246161617.934944357-18371.9349443568
75187559220375.982791002-32816.9827910023
76187681207548.009272621-19867.0092726213
77119016163150.499237772-44134.4992377719
78182192195180.185707615-12988.1857076148
797356698228.9528386434-24662.9528386434
80194979183150.60618879411828.3938112062
81167488168460.750968297-972.750968296794
82143756175634.677361142-31878.677361142
83275541234651.13060361340889.8693963866
84243199210406.67494695132792.3250530494
85182999164463.22022369218535.779776308
86135649162237.682681318-26588.6826813181
87152299164126.993760044-11827.9937600438
88120221136844.522300968-16623.5223009678
89346485279927.13109681366557.8689031871
90145790155964.798094516-10174.7980945155
91193339182606.84312415410732.1568758459
928095398298.5986985136-17345.5986985136
93122774150397.06094693-27623.0609469301
94130585119480.88700215811104.112997842
9511261190081.879520958922529.1204790411
96286468269063.52504265717404.4749573433
97241066224125.24146956716940.7585304326
98148446274594.507167864-126148.507167864
99204713190402.37866133414310.6213386658
100182079192734.256910724-10655.2569107241
101140344124420.20822621915923.7917737807
102220516238760.834373335-18244.8343733351
103243060193319.05570331749740.9442966834
104162765144913.27646314717851.7235368526
105182613151494.96594121731118.0340587829
106232138211383.67399162520754.3260083751
107265318288885.825787296-23567.8257872964
1088557498655.7062062147-13081.7062062147
109310839286766.44424124224072.5557587582
110225060221731.4501741173328.5498258834
111232317217402.23959944914914.7604005508
112144966168906.83137867-23940.8313786703
1134328756202.2217599856-12915.2217599855
114155754160811.723849833-5057.72384983282
115164709194669.509087567-29960.5090875672
116201940233553.121193103-31613.1211931031
117235454257348.745804981-21894.7458049814
118220801169008.87500939251792.1249906082
1199946692817.03286092766648.96713907235
12092661122901.282317237-30240.2823172373
121133328136800.90761364-3472.90761364014
12261361111264.5592565-49903.5592565004
123125930149503.66447035-23573.6644703497
124100750155626.822399471-54876.8223994711
125224549144300.55817663380248.4418233675
1268231660951.414540008321364.5854599917
12710201090505.670805011111504.3291949889
128101523107676.398017747-6153.3980177474
129243511227941.16090756515569.8390924351
1302293822537.2134431343400.786556865722
1314156643845.4535496657-2279.45354966568
132152474195326.876490722-42852.876490722
1336185750557.455765160911299.5442348391
13499923156844.795369114-56921.7953691142
135132487147284.664994493-14797.6649944932
136317394266377.41834237451016.5816576262
1372105418321.29279496152732.70720503854
138209641171750.95425765237890.0457423478
1392264845597.3348562868-22949.3348562868
1403141445030.0883334417-13616.0883334417
1414669869567.1656950786-22869.1656950786
142131698140215.093091146-8517.09309114585
1439173582704.20768280429030.79231719579
144244749255465.571005505-10716.5710055053
145184510171101.75817384713408.2418261529
14679863106210.94505426-26347.9450542604
147128423129015.630443963-592.630443963175
14897839109741.199854219-11902.1998542191
1493821458799.0611170919-20585.0611170919
150151101146704.764581024396.23541898022
151272458243244.18097038229213.8190296176
152172494148511.15636245723982.8436375428
153108043121395.461994111-13352.4619941113
154328107318601.9662093619505.03379063856
155250579235961.3621984614617.6378015405
156351067303701.35733211647365.6426678837
157158015132122.84392489425892.1560751058
1589886678507.305968256220358.6940317438
15985439107888.769164412-22449.7691644116
160229242246847.54817164-17605.5481716403
161351619326452.07508919925166.9249108006
1628420794700.6113091157-10493.6113091157
163120445134439.456144014-13994.4561440137
164324598343536.539392573-18938.5393925732
165131069165002.542647175-33933.5426471748
166204271168613.77514099935657.2248590014
167165543173512.434023613-7969.43402361309
168141722131886.4053183269835.59468167356
16911604896116.282159040919931.7178409591
170250047158858.75053627491188.2494637261
171299775311493.252257155-11718.2522571554
172195838194127.5744509251710.42554907509
173173260167512.2195591325747.78044086825
174254488239785.25358013914702.7464198605
175104389192986.783316279-88597.7833162793
176136084130507.2952848295576.70471517076
177199476230830.466210354-31354.466210354
1789249983664.38147204478834.61852795529
179224330228201.025401886-3871.02540188575
180135781101306.42907743134474.5709225691
1817440896470.0789226013-22062.0789226013
18281240135800.828492964-54560.8284929642
183146887027.375517456957660.62448254305
184181633162145.51594109319487.4840589075
185271856251451.42542932620404.5745706736
18671995156.067839893632042.93216010637
1874666048132.2402009857-1472.24020098572
188175472257.5841624347215289.4158375653
189133368121130.3857026812237.6142973203
1909522797576.6434324315-2349.64343243149
191152601126853.56892353925747.4310764609
19298146102951.152271751-4805.15227175085
1937961996148.3966226176-16529.3966226176
1945919463627.0791916232-4433.07919162317
195139942135445.960239124496.03976088044
196118612112533.6426364746078.35736352642
1977288089997.8452446587-17117.8452446588
1986547553950.564136136911524.4358638631
19999643130512.957888839-30869.9578888387
2007196574285.6801155916-2320.68011559157
2017727271287.01729634455984.9827036555
2024928954975.8921545735-5686.89215457349
203135131119824.18771139115306.8122886091
20410844698099.796029380710346.2039706193
20589746119579.472108015-29833.4721080149
2064429656042.8536975395-11746.8536975395
2077764882899.5758838453-5251.57588384531
208181528135530.22841628545997.7715837154
209134019110271.20938615823747.7906138417
210124064121520.9825148652543.01748513495
2119263080976.682273661911653.3177263381
21212184894176.799360688427671.2006393116
2135291554146.6778027061-1231.6778027061
2148187278898.30601556392973.69398443612
2155898188267.6716161991-29286.6716161991
2165351561320.1761931488-7805.17619314876
2176081292439.9562223896-31627.9562223896
2185637550015.38069436359.61930569997
2196549063515.55256488451974.44743511553
2208094952747.342841103228201.6571588968
2217630292411.8168037333-16109.8168037333
222104011103716.888919519294.111080480622
22398104147414.553404399-49310.5534043987
2246798959271.71914607078717.28085392934
2253098932922.6505524499-1933.65055244995
226135458134842.780756932615.219243067923
2277350455672.915667161417831.0843328386
2286312388244.2416113029-25121.2416113029
2296125489847.4532818919-28593.4532818919
23074914108489.42463313-33575.4246331301
2313177444071.8402012405-12297.8402012405
2328143784002.1571028128-2565.15710281279
23387186117098.152854766-29912.1528547659
2345009058254.8286546463-8164.82865464626
2356574597501.9499062636-31756.9499062636
2365665371911.2108782327-15258.2108782327
237158399105190.1095393153208.8904606897
2384645560127.4537560834-13672.4537560834
2397362487163.0758438747-13539.0758438748
2403839560295.8045929714-21900.8045929714
2419189979090.739108249812808.2608917502
242139526134260.8865698765265.11343012423
2435216469024.1680894686-16860.1680894686
2445156758610.7313656371-7043.73136563711
2457055171591.2668093402-1040.26680934021
2468485694354.5025310641-9498.50253106407
247102538124193.762782491-21655.7627824906
2488667863755.343241256922922.6567587431
2498570977003.48046678648705.51953321361
2503466249764.8841856123-15102.8841856123
251150580133614.67489324216965.3251067579
2529961190962.69684567928648.30315432079
253193499447.619220434139901.38077956587
2549937396798.68173914442574.31826085558
25586230108089.765942295-21859.7659422946
2563083731607.9732212161-770.973221216147
2573170645919.3201003262-14213.3201003262
2588980681369.82438749848436.17561250163
2596208851495.31379308610592.686206914
2604015134177.53031623815973.46968376195
2612763445492.9576135505-17858.9576135505
2627699067037.98605137769952.01394862236
2633746027646.78211111619813.21788888388
2645415763938.4163425338-9781.41634253379
2654986259694.1631269514-9832.16312695136
2668433777490.59831929996846.40168070013
2676417584163.057264155-19988.057264155
2685938268484.7821644423-9102.78216444234
26911930871618.532943645347689.4670563547
27076702100332.982621878-23630.9826218783
271103425106565.528441749-3140.52844174894
2727034463925.07544020486418.92455979518
2734341040985.66356494772424.33643505229
27410483899896.4234499274941.57655007304
2756221551068.941251982611146.0587480174
2766930490684.1846533375-21380.1846533375
2775311735786.627140503517330.3728594965
2781976410312.6867156429451.31328435803
2798668089640.2884984814-2960.28849848138
2808410566162.48173971917942.518260281
2817794578957.6320373774-1012.63203737739
2828911375891.687227806413221.3127721936
2839100594607.2199664039-3602.21996640386
2844024829403.964717393310844.0352826067
2856418760556.31576146943630.68423853059
2865085755742.2145173523-4885.21451735231
2875661353334.55055095213278.44944904787
2886279260159.13969035892632.86030964105
2897253573365.2903362674-830.290336267382

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 210907 & 144491.159138738 & 66415.8408612623 \tabularnewline
2 & 120982 & 117149.009756817 & 3832.9902431828 \tabularnewline
3 & 176508 & 169570.976503011 & 6937.02349698898 \tabularnewline
4 & 179321 & 255640.759682957 & -76319.7596829575 \tabularnewline
5 & 123185 & 96870.1636461192 & 26314.8363538808 \tabularnewline
6 & 52746 & 53608.8852638322 & -862.88526383218 \tabularnewline
7 & 385534 & 352894.420235611 & 32639.5797643892 \tabularnewline
8 & 33170 & 35657.9495662887 & -2487.94956628872 \tabularnewline
9 & 101645 & 87028.9909463201 & 14616.0090536799 \tabularnewline
10 & 149061 & 157596.687624324 & -8535.68762432447 \tabularnewline
11 & 165446 & 145569.411163865 & 19876.5888361349 \tabularnewline
12 & 237213 & 206982.709525053 & 30230.290474947 \tabularnewline
13 & 173326 & 189896.998577363 & -16570.9985773626 \tabularnewline
14 & 133131 & 147190.125372487 & -14059.1253724867 \tabularnewline
15 & 258873 & 248242.075829339 & 10630.9241706609 \tabularnewline
16 & 180083 & 161671.519092818 & 18411.4809071818 \tabularnewline
17 & 324799 & 401058.023966698 & -76259.0239666981 \tabularnewline
18 & 230964 & 190246.744025134 & 40717.2559748663 \tabularnewline
19 & 236785 & 238678.858754804 & -1893.85875480395 \tabularnewline
20 & 135473 & 133572.442650509 & 1900.55734949101 \tabularnewline
21 & 202925 & 199592.834054899 & 3332.16594510058 \tabularnewline
22 & 215147 & 203589.540581085 & 11557.4594189148 \tabularnewline
23 & 344297 & 239823.696275087 & 104473.303724913 \tabularnewline
24 & 153935 & 116522.06808719 & 37412.9319128105 \tabularnewline
25 & 132943 & 156865.092673437 & -23922.0926734369 \tabularnewline
26 & 174724 & 269950.38450629 & -95226.3845062904 \tabularnewline
27 & 174415 & 222785.158429481 & -48370.1584294809 \tabularnewline
28 & 225548 & 241236.922989458 & -15688.9229894578 \tabularnewline
29 & 223632 & 188521.595079543 & 35110.4049204573 \tabularnewline
30 & 124817 & 131447.550162052 & -6630.55016205196 \tabularnewline
31 & 221698 & 201917.333153962 & 19780.666846038 \tabularnewline
32 & 210767 & 201549.085171145 & 9217.91482885491 \tabularnewline
33 & 170266 & 168783.053107612 & 1482.94689238801 \tabularnewline
34 & 260561 & 225520.081007599 & 35040.9189924009 \tabularnewline
35 & 84853 & 98549.4120250315 & -13696.4120250315 \tabularnewline
36 & 294424 & 263824.837504643 & 30599.1624953569 \tabularnewline
37 & 101011 & 67805.385181373 & 33205.614818627 \tabularnewline
38 & 215641 & 208021.685057583 & 7619.31494241689 \tabularnewline
39 & 325107 & 256263.793852705 & 68843.2061472949 \tabularnewline
40 & 7176 & 4957.85025521287 & 2218.14974478713 \tabularnewline
41 & 167542 & 154169.338249636 & 13372.6617503641 \tabularnewline
42 & 106408 & 72979.2430130036 & 33428.7569869964 \tabularnewline
43 & 96560 & 128685.146280989 & -32125.146280989 \tabularnewline
44 & 265769 & 270703.067299011 & -4934.06729901148 \tabularnewline
45 & 269651 & 296791.506622042 & -27140.506622042 \tabularnewline
46 & 149112 & 162232.40689226 & -13120.4068922599 \tabularnewline
47 & 175824 & 215115.956267887 & -39291.9562678875 \tabularnewline
48 & 152871 & 153103.958219429 & -232.958219428576 \tabularnewline
49 & 111665 & 108284.972017327 & 3380.0279826729 \tabularnewline
50 & 116408 & 219848.596369671 & -103440.596369671 \tabularnewline
51 & 362301 & 321506.005017426 & 40794.9949825743 \tabularnewline
52 & 78800 & 97081.4209452976 & -18281.4209452976 \tabularnewline
53 & 183167 & 194237.363214149 & -11070.3632141489 \tabularnewline
54 & 277965 & 303570.92436694 & -25605.9243669401 \tabularnewline
55 & 150629 & 203124.676358577 & -52495.6763585769 \tabularnewline
56 & 168809 & 156561.136307773 & 12247.8636922272 \tabularnewline
57 & 24188 & 38800.3591348327 & -14612.3591348327 \tabularnewline
58 & 329267 & 279158.03529378 & 50108.9647062198 \tabularnewline
59 & 65029 & 66913.4494819163 & -1884.44948191624 \tabularnewline
60 & 101097 & 109317.060239195 & -8220.06023919508 \tabularnewline
61 & 218946 & 208625.431022165 & 10320.5689778352 \tabularnewline
62 & 244052 & 207469.363021506 & 36582.6369784939 \tabularnewline
63 & 341570 & 305442.232758727 & 36127.7672412732 \tabularnewline
64 & 103597 & 93530.2446611597 & 10066.7553388403 \tabularnewline
65 & 233328 & 232832.222453941 & 495.777546058647 \tabularnewline
66 & 256462 & 254634.211151367 & 1827.78884863324 \tabularnewline
67 & 206161 & 183057.105326958 & 23103.8946730418 \tabularnewline
68 & 311473 & 302361.97257828 & 9111.02742172025 \tabularnewline
69 & 235800 & 235410.217094862 & 389.78290513768 \tabularnewline
70 & 177939 & 220727.910734525 & -42788.9107345245 \tabularnewline
71 & 207176 & 190184.109333694 & 16991.8906663063 \tabularnewline
72 & 196553 & 143925.260654289 & 52627.7393457114 \tabularnewline
73 & 174184 & 133802.144186733 & 40381.8558132666 \tabularnewline
74 & 143246 & 161617.934944357 & -18371.9349443568 \tabularnewline
75 & 187559 & 220375.982791002 & -32816.9827910023 \tabularnewline
76 & 187681 & 207548.009272621 & -19867.0092726213 \tabularnewline
77 & 119016 & 163150.499237772 & -44134.4992377719 \tabularnewline
78 & 182192 & 195180.185707615 & -12988.1857076148 \tabularnewline
79 & 73566 & 98228.9528386434 & -24662.9528386434 \tabularnewline
80 & 194979 & 183150.606188794 & 11828.3938112062 \tabularnewline
81 & 167488 & 168460.750968297 & -972.750968296794 \tabularnewline
82 & 143756 & 175634.677361142 & -31878.677361142 \tabularnewline
83 & 275541 & 234651.130603613 & 40889.8693963866 \tabularnewline
84 & 243199 & 210406.674946951 & 32792.3250530494 \tabularnewline
85 & 182999 & 164463.220223692 & 18535.779776308 \tabularnewline
86 & 135649 & 162237.682681318 & -26588.6826813181 \tabularnewline
87 & 152299 & 164126.993760044 & -11827.9937600438 \tabularnewline
88 & 120221 & 136844.522300968 & -16623.5223009678 \tabularnewline
89 & 346485 & 279927.131096813 & 66557.8689031871 \tabularnewline
90 & 145790 & 155964.798094516 & -10174.7980945155 \tabularnewline
91 & 193339 & 182606.843124154 & 10732.1568758459 \tabularnewline
92 & 80953 & 98298.5986985136 & -17345.5986985136 \tabularnewline
93 & 122774 & 150397.06094693 & -27623.0609469301 \tabularnewline
94 & 130585 & 119480.887002158 & 11104.112997842 \tabularnewline
95 & 112611 & 90081.8795209589 & 22529.1204790411 \tabularnewline
96 & 286468 & 269063.525042657 & 17404.4749573433 \tabularnewline
97 & 241066 & 224125.241469567 & 16940.7585304326 \tabularnewline
98 & 148446 & 274594.507167864 & -126148.507167864 \tabularnewline
99 & 204713 & 190402.378661334 & 14310.6213386658 \tabularnewline
100 & 182079 & 192734.256910724 & -10655.2569107241 \tabularnewline
101 & 140344 & 124420.208226219 & 15923.7917737807 \tabularnewline
102 & 220516 & 238760.834373335 & -18244.8343733351 \tabularnewline
103 & 243060 & 193319.055703317 & 49740.9442966834 \tabularnewline
104 & 162765 & 144913.276463147 & 17851.7235368526 \tabularnewline
105 & 182613 & 151494.965941217 & 31118.0340587829 \tabularnewline
106 & 232138 & 211383.673991625 & 20754.3260083751 \tabularnewline
107 & 265318 & 288885.825787296 & -23567.8257872964 \tabularnewline
108 & 85574 & 98655.7062062147 & -13081.7062062147 \tabularnewline
109 & 310839 & 286766.444241242 & 24072.5557587582 \tabularnewline
110 & 225060 & 221731.450174117 & 3328.5498258834 \tabularnewline
111 & 232317 & 217402.239599449 & 14914.7604005508 \tabularnewline
112 & 144966 & 168906.83137867 & -23940.8313786703 \tabularnewline
113 & 43287 & 56202.2217599856 & -12915.2217599855 \tabularnewline
114 & 155754 & 160811.723849833 & -5057.72384983282 \tabularnewline
115 & 164709 & 194669.509087567 & -29960.5090875672 \tabularnewline
116 & 201940 & 233553.121193103 & -31613.1211931031 \tabularnewline
117 & 235454 & 257348.745804981 & -21894.7458049814 \tabularnewline
118 & 220801 & 169008.875009392 & 51792.1249906082 \tabularnewline
119 & 99466 & 92817.0328609276 & 6648.96713907235 \tabularnewline
120 & 92661 & 122901.282317237 & -30240.2823172373 \tabularnewline
121 & 133328 & 136800.90761364 & -3472.90761364014 \tabularnewline
122 & 61361 & 111264.5592565 & -49903.5592565004 \tabularnewline
123 & 125930 & 149503.66447035 & -23573.6644703497 \tabularnewline
124 & 100750 & 155626.822399471 & -54876.8223994711 \tabularnewline
125 & 224549 & 144300.558176633 & 80248.4418233675 \tabularnewline
126 & 82316 & 60951.4145400083 & 21364.5854599917 \tabularnewline
127 & 102010 & 90505.6708050111 & 11504.3291949889 \tabularnewline
128 & 101523 & 107676.398017747 & -6153.3980177474 \tabularnewline
129 & 243511 & 227941.160907565 & 15569.8390924351 \tabularnewline
130 & 22938 & 22537.2134431343 & 400.786556865722 \tabularnewline
131 & 41566 & 43845.4535496657 & -2279.45354966568 \tabularnewline
132 & 152474 & 195326.876490722 & -42852.876490722 \tabularnewline
133 & 61857 & 50557.4557651609 & 11299.5442348391 \tabularnewline
134 & 99923 & 156844.795369114 & -56921.7953691142 \tabularnewline
135 & 132487 & 147284.664994493 & -14797.6649944932 \tabularnewline
136 & 317394 & 266377.418342374 & 51016.5816576262 \tabularnewline
137 & 21054 & 18321.2927949615 & 2732.70720503854 \tabularnewline
138 & 209641 & 171750.954257652 & 37890.0457423478 \tabularnewline
139 & 22648 & 45597.3348562868 & -22949.3348562868 \tabularnewline
140 & 31414 & 45030.0883334417 & -13616.0883334417 \tabularnewline
141 & 46698 & 69567.1656950786 & -22869.1656950786 \tabularnewline
142 & 131698 & 140215.093091146 & -8517.09309114585 \tabularnewline
143 & 91735 & 82704.2076828042 & 9030.79231719579 \tabularnewline
144 & 244749 & 255465.571005505 & -10716.5710055053 \tabularnewline
145 & 184510 & 171101.758173847 & 13408.2418261529 \tabularnewline
146 & 79863 & 106210.94505426 & -26347.9450542604 \tabularnewline
147 & 128423 & 129015.630443963 & -592.630443963175 \tabularnewline
148 & 97839 & 109741.199854219 & -11902.1998542191 \tabularnewline
149 & 38214 & 58799.0611170919 & -20585.0611170919 \tabularnewline
150 & 151101 & 146704.76458102 & 4396.23541898022 \tabularnewline
151 & 272458 & 243244.180970382 & 29213.8190296176 \tabularnewline
152 & 172494 & 148511.156362457 & 23982.8436375428 \tabularnewline
153 & 108043 & 121395.461994111 & -13352.4619941113 \tabularnewline
154 & 328107 & 318601.966209361 & 9505.03379063856 \tabularnewline
155 & 250579 & 235961.36219846 & 14617.6378015405 \tabularnewline
156 & 351067 & 303701.357332116 & 47365.6426678837 \tabularnewline
157 & 158015 & 132122.843924894 & 25892.1560751058 \tabularnewline
158 & 98866 & 78507.3059682562 & 20358.6940317438 \tabularnewline
159 & 85439 & 107888.769164412 & -22449.7691644116 \tabularnewline
160 & 229242 & 246847.54817164 & -17605.5481716403 \tabularnewline
161 & 351619 & 326452.075089199 & 25166.9249108006 \tabularnewline
162 & 84207 & 94700.6113091157 & -10493.6113091157 \tabularnewline
163 & 120445 & 134439.456144014 & -13994.4561440137 \tabularnewline
164 & 324598 & 343536.539392573 & -18938.5393925732 \tabularnewline
165 & 131069 & 165002.542647175 & -33933.5426471748 \tabularnewline
166 & 204271 & 168613.775140999 & 35657.2248590014 \tabularnewline
167 & 165543 & 173512.434023613 & -7969.43402361309 \tabularnewline
168 & 141722 & 131886.405318326 & 9835.59468167356 \tabularnewline
169 & 116048 & 96116.2821590409 & 19931.7178409591 \tabularnewline
170 & 250047 & 158858.750536274 & 91188.2494637261 \tabularnewline
171 & 299775 & 311493.252257155 & -11718.2522571554 \tabularnewline
172 & 195838 & 194127.574450925 & 1710.42554907509 \tabularnewline
173 & 173260 & 167512.219559132 & 5747.78044086825 \tabularnewline
174 & 254488 & 239785.253580139 & 14702.7464198605 \tabularnewline
175 & 104389 & 192986.783316279 & -88597.7833162793 \tabularnewline
176 & 136084 & 130507.295284829 & 5576.70471517076 \tabularnewline
177 & 199476 & 230830.466210354 & -31354.466210354 \tabularnewline
178 & 92499 & 83664.3814720447 & 8834.61852795529 \tabularnewline
179 & 224330 & 228201.025401886 & -3871.02540188575 \tabularnewline
180 & 135781 & 101306.429077431 & 34474.5709225691 \tabularnewline
181 & 74408 & 96470.0789226013 & -22062.0789226013 \tabularnewline
182 & 81240 & 135800.828492964 & -54560.8284929642 \tabularnewline
183 & 14688 & 7027.37551745695 & 7660.62448254305 \tabularnewline
184 & 181633 & 162145.515941093 & 19487.4840589075 \tabularnewline
185 & 271856 & 251451.425429326 & 20404.5745706736 \tabularnewline
186 & 7199 & 5156.06783989363 & 2042.93216010637 \tabularnewline
187 & 46660 & 48132.2402009857 & -1472.24020098572 \tabularnewline
188 & 17547 & 2257.58416243472 & 15289.4158375653 \tabularnewline
189 & 133368 & 121130.38570268 & 12237.6142973203 \tabularnewline
190 & 95227 & 97576.6434324315 & -2349.64343243149 \tabularnewline
191 & 152601 & 126853.568923539 & 25747.4310764609 \tabularnewline
192 & 98146 & 102951.152271751 & -4805.15227175085 \tabularnewline
193 & 79619 & 96148.3966226176 & -16529.3966226176 \tabularnewline
194 & 59194 & 63627.0791916232 & -4433.07919162317 \tabularnewline
195 & 139942 & 135445.96023912 & 4496.03976088044 \tabularnewline
196 & 118612 & 112533.642636474 & 6078.35736352642 \tabularnewline
197 & 72880 & 89997.8452446587 & -17117.8452446588 \tabularnewline
198 & 65475 & 53950.5641361369 & 11524.4358638631 \tabularnewline
199 & 99643 & 130512.957888839 & -30869.9578888387 \tabularnewline
200 & 71965 & 74285.6801155916 & -2320.68011559157 \tabularnewline
201 & 77272 & 71287.0172963445 & 5984.9827036555 \tabularnewline
202 & 49289 & 54975.8921545735 & -5686.89215457349 \tabularnewline
203 & 135131 & 119824.187711391 & 15306.8122886091 \tabularnewline
204 & 108446 & 98099.7960293807 & 10346.2039706193 \tabularnewline
205 & 89746 & 119579.472108015 & -29833.4721080149 \tabularnewline
206 & 44296 & 56042.8536975395 & -11746.8536975395 \tabularnewline
207 & 77648 & 82899.5758838453 & -5251.57588384531 \tabularnewline
208 & 181528 & 135530.228416285 & 45997.7715837154 \tabularnewline
209 & 134019 & 110271.209386158 & 23747.7906138417 \tabularnewline
210 & 124064 & 121520.982514865 & 2543.01748513495 \tabularnewline
211 & 92630 & 80976.6822736619 & 11653.3177263381 \tabularnewline
212 & 121848 & 94176.7993606884 & 27671.2006393116 \tabularnewline
213 & 52915 & 54146.6778027061 & -1231.6778027061 \tabularnewline
214 & 81872 & 78898.3060155639 & 2973.69398443612 \tabularnewline
215 & 58981 & 88267.6716161991 & -29286.6716161991 \tabularnewline
216 & 53515 & 61320.1761931488 & -7805.17619314876 \tabularnewline
217 & 60812 & 92439.9562223896 & -31627.9562223896 \tabularnewline
218 & 56375 & 50015.3806943 & 6359.61930569997 \tabularnewline
219 & 65490 & 63515.5525648845 & 1974.44743511553 \tabularnewline
220 & 80949 & 52747.3428411032 & 28201.6571588968 \tabularnewline
221 & 76302 & 92411.8168037333 & -16109.8168037333 \tabularnewline
222 & 104011 & 103716.888919519 & 294.111080480622 \tabularnewline
223 & 98104 & 147414.553404399 & -49310.5534043987 \tabularnewline
224 & 67989 & 59271.7191460707 & 8717.28085392934 \tabularnewline
225 & 30989 & 32922.6505524499 & -1933.65055244995 \tabularnewline
226 & 135458 & 134842.780756932 & 615.219243067923 \tabularnewline
227 & 73504 & 55672.9156671614 & 17831.0843328386 \tabularnewline
228 & 63123 & 88244.2416113029 & -25121.2416113029 \tabularnewline
229 & 61254 & 89847.4532818919 & -28593.4532818919 \tabularnewline
230 & 74914 & 108489.42463313 & -33575.4246331301 \tabularnewline
231 & 31774 & 44071.8402012405 & -12297.8402012405 \tabularnewline
232 & 81437 & 84002.1571028128 & -2565.15710281279 \tabularnewline
233 & 87186 & 117098.152854766 & -29912.1528547659 \tabularnewline
234 & 50090 & 58254.8286546463 & -8164.82865464626 \tabularnewline
235 & 65745 & 97501.9499062636 & -31756.9499062636 \tabularnewline
236 & 56653 & 71911.2108782327 & -15258.2108782327 \tabularnewline
237 & 158399 & 105190.10953931 & 53208.8904606897 \tabularnewline
238 & 46455 & 60127.4537560834 & -13672.4537560834 \tabularnewline
239 & 73624 & 87163.0758438747 & -13539.0758438748 \tabularnewline
240 & 38395 & 60295.8045929714 & -21900.8045929714 \tabularnewline
241 & 91899 & 79090.7391082498 & 12808.2608917502 \tabularnewline
242 & 139526 & 134260.886569876 & 5265.11343012423 \tabularnewline
243 & 52164 & 69024.1680894686 & -16860.1680894686 \tabularnewline
244 & 51567 & 58610.7313656371 & -7043.73136563711 \tabularnewline
245 & 70551 & 71591.2668093402 & -1040.26680934021 \tabularnewline
246 & 84856 & 94354.5025310641 & -9498.50253106407 \tabularnewline
247 & 102538 & 124193.762782491 & -21655.7627824906 \tabularnewline
248 & 86678 & 63755.3432412569 & 22922.6567587431 \tabularnewline
249 & 85709 & 77003.4804667864 & 8705.51953321361 \tabularnewline
250 & 34662 & 49764.8841856123 & -15102.8841856123 \tabularnewline
251 & 150580 & 133614.674893242 & 16965.3251067579 \tabularnewline
252 & 99611 & 90962.6968456792 & 8648.30315432079 \tabularnewline
253 & 19349 & 9447.61922043413 & 9901.38077956587 \tabularnewline
254 & 99373 & 96798.6817391444 & 2574.31826085558 \tabularnewline
255 & 86230 & 108089.765942295 & -21859.7659422946 \tabularnewline
256 & 30837 & 31607.9732212161 & -770.973221216147 \tabularnewline
257 & 31706 & 45919.3201003262 & -14213.3201003262 \tabularnewline
258 & 89806 & 81369.8243874984 & 8436.17561250163 \tabularnewline
259 & 62088 & 51495.313793086 & 10592.686206914 \tabularnewline
260 & 40151 & 34177.5303162381 & 5973.46968376195 \tabularnewline
261 & 27634 & 45492.9576135505 & -17858.9576135505 \tabularnewline
262 & 76990 & 67037.9860513776 & 9952.01394862236 \tabularnewline
263 & 37460 & 27646.7821111161 & 9813.21788888388 \tabularnewline
264 & 54157 & 63938.4163425338 & -9781.41634253379 \tabularnewline
265 & 49862 & 59694.1631269514 & -9832.16312695136 \tabularnewline
266 & 84337 & 77490.5983192999 & 6846.40168070013 \tabularnewline
267 & 64175 & 84163.057264155 & -19988.057264155 \tabularnewline
268 & 59382 & 68484.7821644423 & -9102.78216444234 \tabularnewline
269 & 119308 & 71618.5329436453 & 47689.4670563547 \tabularnewline
270 & 76702 & 100332.982621878 & -23630.9826218783 \tabularnewline
271 & 103425 & 106565.528441749 & -3140.52844174894 \tabularnewline
272 & 70344 & 63925.0754402048 & 6418.92455979518 \tabularnewline
273 & 43410 & 40985.6635649477 & 2424.33643505229 \tabularnewline
274 & 104838 & 99896.423449927 & 4941.57655007304 \tabularnewline
275 & 62215 & 51068.9412519826 & 11146.0587480174 \tabularnewline
276 & 69304 & 90684.1846533375 & -21380.1846533375 \tabularnewline
277 & 53117 & 35786.6271405035 & 17330.3728594965 \tabularnewline
278 & 19764 & 10312.686715642 & 9451.31328435803 \tabularnewline
279 & 86680 & 89640.2884984814 & -2960.28849848138 \tabularnewline
280 & 84105 & 66162.481739719 & 17942.518260281 \tabularnewline
281 & 77945 & 78957.6320373774 & -1012.63203737739 \tabularnewline
282 & 89113 & 75891.6872278064 & 13221.3127721936 \tabularnewline
283 & 91005 & 94607.2199664039 & -3602.21996640386 \tabularnewline
284 & 40248 & 29403.9647173933 & 10844.0352826067 \tabularnewline
285 & 64187 & 60556.3157614694 & 3630.68423853059 \tabularnewline
286 & 50857 & 55742.2145173523 & -4885.21451735231 \tabularnewline
287 & 56613 & 53334.5505509521 & 3278.44944904787 \tabularnewline
288 & 62792 & 60159.1396903589 & 2632.86030964105 \tabularnewline
289 & 72535 & 73365.2903362674 & -830.290336267382 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198443&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]144491.159138738[/C][C]66415.8408612623[/C][/ROW]
[ROW][C]2[/C][C]120982[/C][C]117149.009756817[/C][C]3832.9902431828[/C][/ROW]
[ROW][C]3[/C][C]176508[/C][C]169570.976503011[/C][C]6937.02349698898[/C][/ROW]
[ROW][C]4[/C][C]179321[/C][C]255640.759682957[/C][C]-76319.7596829575[/C][/ROW]
[ROW][C]5[/C][C]123185[/C][C]96870.1636461192[/C][C]26314.8363538808[/C][/ROW]
[ROW][C]6[/C][C]52746[/C][C]53608.8852638322[/C][C]-862.88526383218[/C][/ROW]
[ROW][C]7[/C][C]385534[/C][C]352894.420235611[/C][C]32639.5797643892[/C][/ROW]
[ROW][C]8[/C][C]33170[/C][C]35657.9495662887[/C][C]-2487.94956628872[/C][/ROW]
[ROW][C]9[/C][C]101645[/C][C]87028.9909463201[/C][C]14616.0090536799[/C][/ROW]
[ROW][C]10[/C][C]149061[/C][C]157596.687624324[/C][C]-8535.68762432447[/C][/ROW]
[ROW][C]11[/C][C]165446[/C][C]145569.411163865[/C][C]19876.5888361349[/C][/ROW]
[ROW][C]12[/C][C]237213[/C][C]206982.709525053[/C][C]30230.290474947[/C][/ROW]
[ROW][C]13[/C][C]173326[/C][C]189896.998577363[/C][C]-16570.9985773626[/C][/ROW]
[ROW][C]14[/C][C]133131[/C][C]147190.125372487[/C][C]-14059.1253724867[/C][/ROW]
[ROW][C]15[/C][C]258873[/C][C]248242.075829339[/C][C]10630.9241706609[/C][/ROW]
[ROW][C]16[/C][C]180083[/C][C]161671.519092818[/C][C]18411.4809071818[/C][/ROW]
[ROW][C]17[/C][C]324799[/C][C]401058.023966698[/C][C]-76259.0239666981[/C][/ROW]
[ROW][C]18[/C][C]230964[/C][C]190246.744025134[/C][C]40717.2559748663[/C][/ROW]
[ROW][C]19[/C][C]236785[/C][C]238678.858754804[/C][C]-1893.85875480395[/C][/ROW]
[ROW][C]20[/C][C]135473[/C][C]133572.442650509[/C][C]1900.55734949101[/C][/ROW]
[ROW][C]21[/C][C]202925[/C][C]199592.834054899[/C][C]3332.16594510058[/C][/ROW]
[ROW][C]22[/C][C]215147[/C][C]203589.540581085[/C][C]11557.4594189148[/C][/ROW]
[ROW][C]23[/C][C]344297[/C][C]239823.696275087[/C][C]104473.303724913[/C][/ROW]
[ROW][C]24[/C][C]153935[/C][C]116522.06808719[/C][C]37412.9319128105[/C][/ROW]
[ROW][C]25[/C][C]132943[/C][C]156865.092673437[/C][C]-23922.0926734369[/C][/ROW]
[ROW][C]26[/C][C]174724[/C][C]269950.38450629[/C][C]-95226.3845062904[/C][/ROW]
[ROW][C]27[/C][C]174415[/C][C]222785.158429481[/C][C]-48370.1584294809[/C][/ROW]
[ROW][C]28[/C][C]225548[/C][C]241236.922989458[/C][C]-15688.9229894578[/C][/ROW]
[ROW][C]29[/C][C]223632[/C][C]188521.595079543[/C][C]35110.4049204573[/C][/ROW]
[ROW][C]30[/C][C]124817[/C][C]131447.550162052[/C][C]-6630.55016205196[/C][/ROW]
[ROW][C]31[/C][C]221698[/C][C]201917.333153962[/C][C]19780.666846038[/C][/ROW]
[ROW][C]32[/C][C]210767[/C][C]201549.085171145[/C][C]9217.91482885491[/C][/ROW]
[ROW][C]33[/C][C]170266[/C][C]168783.053107612[/C][C]1482.94689238801[/C][/ROW]
[ROW][C]34[/C][C]260561[/C][C]225520.081007599[/C][C]35040.9189924009[/C][/ROW]
[ROW][C]35[/C][C]84853[/C][C]98549.4120250315[/C][C]-13696.4120250315[/C][/ROW]
[ROW][C]36[/C][C]294424[/C][C]263824.837504643[/C][C]30599.1624953569[/C][/ROW]
[ROW][C]37[/C][C]101011[/C][C]67805.385181373[/C][C]33205.614818627[/C][/ROW]
[ROW][C]38[/C][C]215641[/C][C]208021.685057583[/C][C]7619.31494241689[/C][/ROW]
[ROW][C]39[/C][C]325107[/C][C]256263.793852705[/C][C]68843.2061472949[/C][/ROW]
[ROW][C]40[/C][C]7176[/C][C]4957.85025521287[/C][C]2218.14974478713[/C][/ROW]
[ROW][C]41[/C][C]167542[/C][C]154169.338249636[/C][C]13372.6617503641[/C][/ROW]
[ROW][C]42[/C][C]106408[/C][C]72979.2430130036[/C][C]33428.7569869964[/C][/ROW]
[ROW][C]43[/C][C]96560[/C][C]128685.146280989[/C][C]-32125.146280989[/C][/ROW]
[ROW][C]44[/C][C]265769[/C][C]270703.067299011[/C][C]-4934.06729901148[/C][/ROW]
[ROW][C]45[/C][C]269651[/C][C]296791.506622042[/C][C]-27140.506622042[/C][/ROW]
[ROW][C]46[/C][C]149112[/C][C]162232.40689226[/C][C]-13120.4068922599[/C][/ROW]
[ROW][C]47[/C][C]175824[/C][C]215115.956267887[/C][C]-39291.9562678875[/C][/ROW]
[ROW][C]48[/C][C]152871[/C][C]153103.958219429[/C][C]-232.958219428576[/C][/ROW]
[ROW][C]49[/C][C]111665[/C][C]108284.972017327[/C][C]3380.0279826729[/C][/ROW]
[ROW][C]50[/C][C]116408[/C][C]219848.596369671[/C][C]-103440.596369671[/C][/ROW]
[ROW][C]51[/C][C]362301[/C][C]321506.005017426[/C][C]40794.9949825743[/C][/ROW]
[ROW][C]52[/C][C]78800[/C][C]97081.4209452976[/C][C]-18281.4209452976[/C][/ROW]
[ROW][C]53[/C][C]183167[/C][C]194237.363214149[/C][C]-11070.3632141489[/C][/ROW]
[ROW][C]54[/C][C]277965[/C][C]303570.92436694[/C][C]-25605.9243669401[/C][/ROW]
[ROW][C]55[/C][C]150629[/C][C]203124.676358577[/C][C]-52495.6763585769[/C][/ROW]
[ROW][C]56[/C][C]168809[/C][C]156561.136307773[/C][C]12247.8636922272[/C][/ROW]
[ROW][C]57[/C][C]24188[/C][C]38800.3591348327[/C][C]-14612.3591348327[/C][/ROW]
[ROW][C]58[/C][C]329267[/C][C]279158.03529378[/C][C]50108.9647062198[/C][/ROW]
[ROW][C]59[/C][C]65029[/C][C]66913.4494819163[/C][C]-1884.44948191624[/C][/ROW]
[ROW][C]60[/C][C]101097[/C][C]109317.060239195[/C][C]-8220.06023919508[/C][/ROW]
[ROW][C]61[/C][C]218946[/C][C]208625.431022165[/C][C]10320.5689778352[/C][/ROW]
[ROW][C]62[/C][C]244052[/C][C]207469.363021506[/C][C]36582.6369784939[/C][/ROW]
[ROW][C]63[/C][C]341570[/C][C]305442.232758727[/C][C]36127.7672412732[/C][/ROW]
[ROW][C]64[/C][C]103597[/C][C]93530.2446611597[/C][C]10066.7553388403[/C][/ROW]
[ROW][C]65[/C][C]233328[/C][C]232832.222453941[/C][C]495.777546058647[/C][/ROW]
[ROW][C]66[/C][C]256462[/C][C]254634.211151367[/C][C]1827.78884863324[/C][/ROW]
[ROW][C]67[/C][C]206161[/C][C]183057.105326958[/C][C]23103.8946730418[/C][/ROW]
[ROW][C]68[/C][C]311473[/C][C]302361.97257828[/C][C]9111.02742172025[/C][/ROW]
[ROW][C]69[/C][C]235800[/C][C]235410.217094862[/C][C]389.78290513768[/C][/ROW]
[ROW][C]70[/C][C]177939[/C][C]220727.910734525[/C][C]-42788.9107345245[/C][/ROW]
[ROW][C]71[/C][C]207176[/C][C]190184.109333694[/C][C]16991.8906663063[/C][/ROW]
[ROW][C]72[/C][C]196553[/C][C]143925.260654289[/C][C]52627.7393457114[/C][/ROW]
[ROW][C]73[/C][C]174184[/C][C]133802.144186733[/C][C]40381.8558132666[/C][/ROW]
[ROW][C]74[/C][C]143246[/C][C]161617.934944357[/C][C]-18371.9349443568[/C][/ROW]
[ROW][C]75[/C][C]187559[/C][C]220375.982791002[/C][C]-32816.9827910023[/C][/ROW]
[ROW][C]76[/C][C]187681[/C][C]207548.009272621[/C][C]-19867.0092726213[/C][/ROW]
[ROW][C]77[/C][C]119016[/C][C]163150.499237772[/C][C]-44134.4992377719[/C][/ROW]
[ROW][C]78[/C][C]182192[/C][C]195180.185707615[/C][C]-12988.1857076148[/C][/ROW]
[ROW][C]79[/C][C]73566[/C][C]98228.9528386434[/C][C]-24662.9528386434[/C][/ROW]
[ROW][C]80[/C][C]194979[/C][C]183150.606188794[/C][C]11828.3938112062[/C][/ROW]
[ROW][C]81[/C][C]167488[/C][C]168460.750968297[/C][C]-972.750968296794[/C][/ROW]
[ROW][C]82[/C][C]143756[/C][C]175634.677361142[/C][C]-31878.677361142[/C][/ROW]
[ROW][C]83[/C][C]275541[/C][C]234651.130603613[/C][C]40889.8693963866[/C][/ROW]
[ROW][C]84[/C][C]243199[/C][C]210406.674946951[/C][C]32792.3250530494[/C][/ROW]
[ROW][C]85[/C][C]182999[/C][C]164463.220223692[/C][C]18535.779776308[/C][/ROW]
[ROW][C]86[/C][C]135649[/C][C]162237.682681318[/C][C]-26588.6826813181[/C][/ROW]
[ROW][C]87[/C][C]152299[/C][C]164126.993760044[/C][C]-11827.9937600438[/C][/ROW]
[ROW][C]88[/C][C]120221[/C][C]136844.522300968[/C][C]-16623.5223009678[/C][/ROW]
[ROW][C]89[/C][C]346485[/C][C]279927.131096813[/C][C]66557.8689031871[/C][/ROW]
[ROW][C]90[/C][C]145790[/C][C]155964.798094516[/C][C]-10174.7980945155[/C][/ROW]
[ROW][C]91[/C][C]193339[/C][C]182606.843124154[/C][C]10732.1568758459[/C][/ROW]
[ROW][C]92[/C][C]80953[/C][C]98298.5986985136[/C][C]-17345.5986985136[/C][/ROW]
[ROW][C]93[/C][C]122774[/C][C]150397.06094693[/C][C]-27623.0609469301[/C][/ROW]
[ROW][C]94[/C][C]130585[/C][C]119480.887002158[/C][C]11104.112997842[/C][/ROW]
[ROW][C]95[/C][C]112611[/C][C]90081.8795209589[/C][C]22529.1204790411[/C][/ROW]
[ROW][C]96[/C][C]286468[/C][C]269063.525042657[/C][C]17404.4749573433[/C][/ROW]
[ROW][C]97[/C][C]241066[/C][C]224125.241469567[/C][C]16940.7585304326[/C][/ROW]
[ROW][C]98[/C][C]148446[/C][C]274594.507167864[/C][C]-126148.507167864[/C][/ROW]
[ROW][C]99[/C][C]204713[/C][C]190402.378661334[/C][C]14310.6213386658[/C][/ROW]
[ROW][C]100[/C][C]182079[/C][C]192734.256910724[/C][C]-10655.2569107241[/C][/ROW]
[ROW][C]101[/C][C]140344[/C][C]124420.208226219[/C][C]15923.7917737807[/C][/ROW]
[ROW][C]102[/C][C]220516[/C][C]238760.834373335[/C][C]-18244.8343733351[/C][/ROW]
[ROW][C]103[/C][C]243060[/C][C]193319.055703317[/C][C]49740.9442966834[/C][/ROW]
[ROW][C]104[/C][C]162765[/C][C]144913.276463147[/C][C]17851.7235368526[/C][/ROW]
[ROW][C]105[/C][C]182613[/C][C]151494.965941217[/C][C]31118.0340587829[/C][/ROW]
[ROW][C]106[/C][C]232138[/C][C]211383.673991625[/C][C]20754.3260083751[/C][/ROW]
[ROW][C]107[/C][C]265318[/C][C]288885.825787296[/C][C]-23567.8257872964[/C][/ROW]
[ROW][C]108[/C][C]85574[/C][C]98655.7062062147[/C][C]-13081.7062062147[/C][/ROW]
[ROW][C]109[/C][C]310839[/C][C]286766.444241242[/C][C]24072.5557587582[/C][/ROW]
[ROW][C]110[/C][C]225060[/C][C]221731.450174117[/C][C]3328.5498258834[/C][/ROW]
[ROW][C]111[/C][C]232317[/C][C]217402.239599449[/C][C]14914.7604005508[/C][/ROW]
[ROW][C]112[/C][C]144966[/C][C]168906.83137867[/C][C]-23940.8313786703[/C][/ROW]
[ROW][C]113[/C][C]43287[/C][C]56202.2217599856[/C][C]-12915.2217599855[/C][/ROW]
[ROW][C]114[/C][C]155754[/C][C]160811.723849833[/C][C]-5057.72384983282[/C][/ROW]
[ROW][C]115[/C][C]164709[/C][C]194669.509087567[/C][C]-29960.5090875672[/C][/ROW]
[ROW][C]116[/C][C]201940[/C][C]233553.121193103[/C][C]-31613.1211931031[/C][/ROW]
[ROW][C]117[/C][C]235454[/C][C]257348.745804981[/C][C]-21894.7458049814[/C][/ROW]
[ROW][C]118[/C][C]220801[/C][C]169008.875009392[/C][C]51792.1249906082[/C][/ROW]
[ROW][C]119[/C][C]99466[/C][C]92817.0328609276[/C][C]6648.96713907235[/C][/ROW]
[ROW][C]120[/C][C]92661[/C][C]122901.282317237[/C][C]-30240.2823172373[/C][/ROW]
[ROW][C]121[/C][C]133328[/C][C]136800.90761364[/C][C]-3472.90761364014[/C][/ROW]
[ROW][C]122[/C][C]61361[/C][C]111264.5592565[/C][C]-49903.5592565004[/C][/ROW]
[ROW][C]123[/C][C]125930[/C][C]149503.66447035[/C][C]-23573.6644703497[/C][/ROW]
[ROW][C]124[/C][C]100750[/C][C]155626.822399471[/C][C]-54876.8223994711[/C][/ROW]
[ROW][C]125[/C][C]224549[/C][C]144300.558176633[/C][C]80248.4418233675[/C][/ROW]
[ROW][C]126[/C][C]82316[/C][C]60951.4145400083[/C][C]21364.5854599917[/C][/ROW]
[ROW][C]127[/C][C]102010[/C][C]90505.6708050111[/C][C]11504.3291949889[/C][/ROW]
[ROW][C]128[/C][C]101523[/C][C]107676.398017747[/C][C]-6153.3980177474[/C][/ROW]
[ROW][C]129[/C][C]243511[/C][C]227941.160907565[/C][C]15569.8390924351[/C][/ROW]
[ROW][C]130[/C][C]22938[/C][C]22537.2134431343[/C][C]400.786556865722[/C][/ROW]
[ROW][C]131[/C][C]41566[/C][C]43845.4535496657[/C][C]-2279.45354966568[/C][/ROW]
[ROW][C]132[/C][C]152474[/C][C]195326.876490722[/C][C]-42852.876490722[/C][/ROW]
[ROW][C]133[/C][C]61857[/C][C]50557.4557651609[/C][C]11299.5442348391[/C][/ROW]
[ROW][C]134[/C][C]99923[/C][C]156844.795369114[/C][C]-56921.7953691142[/C][/ROW]
[ROW][C]135[/C][C]132487[/C][C]147284.664994493[/C][C]-14797.6649944932[/C][/ROW]
[ROW][C]136[/C][C]317394[/C][C]266377.418342374[/C][C]51016.5816576262[/C][/ROW]
[ROW][C]137[/C][C]21054[/C][C]18321.2927949615[/C][C]2732.70720503854[/C][/ROW]
[ROW][C]138[/C][C]209641[/C][C]171750.954257652[/C][C]37890.0457423478[/C][/ROW]
[ROW][C]139[/C][C]22648[/C][C]45597.3348562868[/C][C]-22949.3348562868[/C][/ROW]
[ROW][C]140[/C][C]31414[/C][C]45030.0883334417[/C][C]-13616.0883334417[/C][/ROW]
[ROW][C]141[/C][C]46698[/C][C]69567.1656950786[/C][C]-22869.1656950786[/C][/ROW]
[ROW][C]142[/C][C]131698[/C][C]140215.093091146[/C][C]-8517.09309114585[/C][/ROW]
[ROW][C]143[/C][C]91735[/C][C]82704.2076828042[/C][C]9030.79231719579[/C][/ROW]
[ROW][C]144[/C][C]244749[/C][C]255465.571005505[/C][C]-10716.5710055053[/C][/ROW]
[ROW][C]145[/C][C]184510[/C][C]171101.758173847[/C][C]13408.2418261529[/C][/ROW]
[ROW][C]146[/C][C]79863[/C][C]106210.94505426[/C][C]-26347.9450542604[/C][/ROW]
[ROW][C]147[/C][C]128423[/C][C]129015.630443963[/C][C]-592.630443963175[/C][/ROW]
[ROW][C]148[/C][C]97839[/C][C]109741.199854219[/C][C]-11902.1998542191[/C][/ROW]
[ROW][C]149[/C][C]38214[/C][C]58799.0611170919[/C][C]-20585.0611170919[/C][/ROW]
[ROW][C]150[/C][C]151101[/C][C]146704.76458102[/C][C]4396.23541898022[/C][/ROW]
[ROW][C]151[/C][C]272458[/C][C]243244.180970382[/C][C]29213.8190296176[/C][/ROW]
[ROW][C]152[/C][C]172494[/C][C]148511.156362457[/C][C]23982.8436375428[/C][/ROW]
[ROW][C]153[/C][C]108043[/C][C]121395.461994111[/C][C]-13352.4619941113[/C][/ROW]
[ROW][C]154[/C][C]328107[/C][C]318601.966209361[/C][C]9505.03379063856[/C][/ROW]
[ROW][C]155[/C][C]250579[/C][C]235961.36219846[/C][C]14617.6378015405[/C][/ROW]
[ROW][C]156[/C][C]351067[/C][C]303701.357332116[/C][C]47365.6426678837[/C][/ROW]
[ROW][C]157[/C][C]158015[/C][C]132122.843924894[/C][C]25892.1560751058[/C][/ROW]
[ROW][C]158[/C][C]98866[/C][C]78507.3059682562[/C][C]20358.6940317438[/C][/ROW]
[ROW][C]159[/C][C]85439[/C][C]107888.769164412[/C][C]-22449.7691644116[/C][/ROW]
[ROW][C]160[/C][C]229242[/C][C]246847.54817164[/C][C]-17605.5481716403[/C][/ROW]
[ROW][C]161[/C][C]351619[/C][C]326452.075089199[/C][C]25166.9249108006[/C][/ROW]
[ROW][C]162[/C][C]84207[/C][C]94700.6113091157[/C][C]-10493.6113091157[/C][/ROW]
[ROW][C]163[/C][C]120445[/C][C]134439.456144014[/C][C]-13994.4561440137[/C][/ROW]
[ROW][C]164[/C][C]324598[/C][C]343536.539392573[/C][C]-18938.5393925732[/C][/ROW]
[ROW][C]165[/C][C]131069[/C][C]165002.542647175[/C][C]-33933.5426471748[/C][/ROW]
[ROW][C]166[/C][C]204271[/C][C]168613.775140999[/C][C]35657.2248590014[/C][/ROW]
[ROW][C]167[/C][C]165543[/C][C]173512.434023613[/C][C]-7969.43402361309[/C][/ROW]
[ROW][C]168[/C][C]141722[/C][C]131886.405318326[/C][C]9835.59468167356[/C][/ROW]
[ROW][C]169[/C][C]116048[/C][C]96116.2821590409[/C][C]19931.7178409591[/C][/ROW]
[ROW][C]170[/C][C]250047[/C][C]158858.750536274[/C][C]91188.2494637261[/C][/ROW]
[ROW][C]171[/C][C]299775[/C][C]311493.252257155[/C][C]-11718.2522571554[/C][/ROW]
[ROW][C]172[/C][C]195838[/C][C]194127.574450925[/C][C]1710.42554907509[/C][/ROW]
[ROW][C]173[/C][C]173260[/C][C]167512.219559132[/C][C]5747.78044086825[/C][/ROW]
[ROW][C]174[/C][C]254488[/C][C]239785.253580139[/C][C]14702.7464198605[/C][/ROW]
[ROW][C]175[/C][C]104389[/C][C]192986.783316279[/C][C]-88597.7833162793[/C][/ROW]
[ROW][C]176[/C][C]136084[/C][C]130507.295284829[/C][C]5576.70471517076[/C][/ROW]
[ROW][C]177[/C][C]199476[/C][C]230830.466210354[/C][C]-31354.466210354[/C][/ROW]
[ROW][C]178[/C][C]92499[/C][C]83664.3814720447[/C][C]8834.61852795529[/C][/ROW]
[ROW][C]179[/C][C]224330[/C][C]228201.025401886[/C][C]-3871.02540188575[/C][/ROW]
[ROW][C]180[/C][C]135781[/C][C]101306.429077431[/C][C]34474.5709225691[/C][/ROW]
[ROW][C]181[/C][C]74408[/C][C]96470.0789226013[/C][C]-22062.0789226013[/C][/ROW]
[ROW][C]182[/C][C]81240[/C][C]135800.828492964[/C][C]-54560.8284929642[/C][/ROW]
[ROW][C]183[/C][C]14688[/C][C]7027.37551745695[/C][C]7660.62448254305[/C][/ROW]
[ROW][C]184[/C][C]181633[/C][C]162145.515941093[/C][C]19487.4840589075[/C][/ROW]
[ROW][C]185[/C][C]271856[/C][C]251451.425429326[/C][C]20404.5745706736[/C][/ROW]
[ROW][C]186[/C][C]7199[/C][C]5156.06783989363[/C][C]2042.93216010637[/C][/ROW]
[ROW][C]187[/C][C]46660[/C][C]48132.2402009857[/C][C]-1472.24020098572[/C][/ROW]
[ROW][C]188[/C][C]17547[/C][C]2257.58416243472[/C][C]15289.4158375653[/C][/ROW]
[ROW][C]189[/C][C]133368[/C][C]121130.38570268[/C][C]12237.6142973203[/C][/ROW]
[ROW][C]190[/C][C]95227[/C][C]97576.6434324315[/C][C]-2349.64343243149[/C][/ROW]
[ROW][C]191[/C][C]152601[/C][C]126853.568923539[/C][C]25747.4310764609[/C][/ROW]
[ROW][C]192[/C][C]98146[/C][C]102951.152271751[/C][C]-4805.15227175085[/C][/ROW]
[ROW][C]193[/C][C]79619[/C][C]96148.3966226176[/C][C]-16529.3966226176[/C][/ROW]
[ROW][C]194[/C][C]59194[/C][C]63627.0791916232[/C][C]-4433.07919162317[/C][/ROW]
[ROW][C]195[/C][C]139942[/C][C]135445.96023912[/C][C]4496.03976088044[/C][/ROW]
[ROW][C]196[/C][C]118612[/C][C]112533.642636474[/C][C]6078.35736352642[/C][/ROW]
[ROW][C]197[/C][C]72880[/C][C]89997.8452446587[/C][C]-17117.8452446588[/C][/ROW]
[ROW][C]198[/C][C]65475[/C][C]53950.5641361369[/C][C]11524.4358638631[/C][/ROW]
[ROW][C]199[/C][C]99643[/C][C]130512.957888839[/C][C]-30869.9578888387[/C][/ROW]
[ROW][C]200[/C][C]71965[/C][C]74285.6801155916[/C][C]-2320.68011559157[/C][/ROW]
[ROW][C]201[/C][C]77272[/C][C]71287.0172963445[/C][C]5984.9827036555[/C][/ROW]
[ROW][C]202[/C][C]49289[/C][C]54975.8921545735[/C][C]-5686.89215457349[/C][/ROW]
[ROW][C]203[/C][C]135131[/C][C]119824.187711391[/C][C]15306.8122886091[/C][/ROW]
[ROW][C]204[/C][C]108446[/C][C]98099.7960293807[/C][C]10346.2039706193[/C][/ROW]
[ROW][C]205[/C][C]89746[/C][C]119579.472108015[/C][C]-29833.4721080149[/C][/ROW]
[ROW][C]206[/C][C]44296[/C][C]56042.8536975395[/C][C]-11746.8536975395[/C][/ROW]
[ROW][C]207[/C][C]77648[/C][C]82899.5758838453[/C][C]-5251.57588384531[/C][/ROW]
[ROW][C]208[/C][C]181528[/C][C]135530.228416285[/C][C]45997.7715837154[/C][/ROW]
[ROW][C]209[/C][C]134019[/C][C]110271.209386158[/C][C]23747.7906138417[/C][/ROW]
[ROW][C]210[/C][C]124064[/C][C]121520.982514865[/C][C]2543.01748513495[/C][/ROW]
[ROW][C]211[/C][C]92630[/C][C]80976.6822736619[/C][C]11653.3177263381[/C][/ROW]
[ROW][C]212[/C][C]121848[/C][C]94176.7993606884[/C][C]27671.2006393116[/C][/ROW]
[ROW][C]213[/C][C]52915[/C][C]54146.6778027061[/C][C]-1231.6778027061[/C][/ROW]
[ROW][C]214[/C][C]81872[/C][C]78898.3060155639[/C][C]2973.69398443612[/C][/ROW]
[ROW][C]215[/C][C]58981[/C][C]88267.6716161991[/C][C]-29286.6716161991[/C][/ROW]
[ROW][C]216[/C][C]53515[/C][C]61320.1761931488[/C][C]-7805.17619314876[/C][/ROW]
[ROW][C]217[/C][C]60812[/C][C]92439.9562223896[/C][C]-31627.9562223896[/C][/ROW]
[ROW][C]218[/C][C]56375[/C][C]50015.3806943[/C][C]6359.61930569997[/C][/ROW]
[ROW][C]219[/C][C]65490[/C][C]63515.5525648845[/C][C]1974.44743511553[/C][/ROW]
[ROW][C]220[/C][C]80949[/C][C]52747.3428411032[/C][C]28201.6571588968[/C][/ROW]
[ROW][C]221[/C][C]76302[/C][C]92411.8168037333[/C][C]-16109.8168037333[/C][/ROW]
[ROW][C]222[/C][C]104011[/C][C]103716.888919519[/C][C]294.111080480622[/C][/ROW]
[ROW][C]223[/C][C]98104[/C][C]147414.553404399[/C][C]-49310.5534043987[/C][/ROW]
[ROW][C]224[/C][C]67989[/C][C]59271.7191460707[/C][C]8717.28085392934[/C][/ROW]
[ROW][C]225[/C][C]30989[/C][C]32922.6505524499[/C][C]-1933.65055244995[/C][/ROW]
[ROW][C]226[/C][C]135458[/C][C]134842.780756932[/C][C]615.219243067923[/C][/ROW]
[ROW][C]227[/C][C]73504[/C][C]55672.9156671614[/C][C]17831.0843328386[/C][/ROW]
[ROW][C]228[/C][C]63123[/C][C]88244.2416113029[/C][C]-25121.2416113029[/C][/ROW]
[ROW][C]229[/C][C]61254[/C][C]89847.4532818919[/C][C]-28593.4532818919[/C][/ROW]
[ROW][C]230[/C][C]74914[/C][C]108489.42463313[/C][C]-33575.4246331301[/C][/ROW]
[ROW][C]231[/C][C]31774[/C][C]44071.8402012405[/C][C]-12297.8402012405[/C][/ROW]
[ROW][C]232[/C][C]81437[/C][C]84002.1571028128[/C][C]-2565.15710281279[/C][/ROW]
[ROW][C]233[/C][C]87186[/C][C]117098.152854766[/C][C]-29912.1528547659[/C][/ROW]
[ROW][C]234[/C][C]50090[/C][C]58254.8286546463[/C][C]-8164.82865464626[/C][/ROW]
[ROW][C]235[/C][C]65745[/C][C]97501.9499062636[/C][C]-31756.9499062636[/C][/ROW]
[ROW][C]236[/C][C]56653[/C][C]71911.2108782327[/C][C]-15258.2108782327[/C][/ROW]
[ROW][C]237[/C][C]158399[/C][C]105190.10953931[/C][C]53208.8904606897[/C][/ROW]
[ROW][C]238[/C][C]46455[/C][C]60127.4537560834[/C][C]-13672.4537560834[/C][/ROW]
[ROW][C]239[/C][C]73624[/C][C]87163.0758438747[/C][C]-13539.0758438748[/C][/ROW]
[ROW][C]240[/C][C]38395[/C][C]60295.8045929714[/C][C]-21900.8045929714[/C][/ROW]
[ROW][C]241[/C][C]91899[/C][C]79090.7391082498[/C][C]12808.2608917502[/C][/ROW]
[ROW][C]242[/C][C]139526[/C][C]134260.886569876[/C][C]5265.11343012423[/C][/ROW]
[ROW][C]243[/C][C]52164[/C][C]69024.1680894686[/C][C]-16860.1680894686[/C][/ROW]
[ROW][C]244[/C][C]51567[/C][C]58610.7313656371[/C][C]-7043.73136563711[/C][/ROW]
[ROW][C]245[/C][C]70551[/C][C]71591.2668093402[/C][C]-1040.26680934021[/C][/ROW]
[ROW][C]246[/C][C]84856[/C][C]94354.5025310641[/C][C]-9498.50253106407[/C][/ROW]
[ROW][C]247[/C][C]102538[/C][C]124193.762782491[/C][C]-21655.7627824906[/C][/ROW]
[ROW][C]248[/C][C]86678[/C][C]63755.3432412569[/C][C]22922.6567587431[/C][/ROW]
[ROW][C]249[/C][C]85709[/C][C]77003.4804667864[/C][C]8705.51953321361[/C][/ROW]
[ROW][C]250[/C][C]34662[/C][C]49764.8841856123[/C][C]-15102.8841856123[/C][/ROW]
[ROW][C]251[/C][C]150580[/C][C]133614.674893242[/C][C]16965.3251067579[/C][/ROW]
[ROW][C]252[/C][C]99611[/C][C]90962.6968456792[/C][C]8648.30315432079[/C][/ROW]
[ROW][C]253[/C][C]19349[/C][C]9447.61922043413[/C][C]9901.38077956587[/C][/ROW]
[ROW][C]254[/C][C]99373[/C][C]96798.6817391444[/C][C]2574.31826085558[/C][/ROW]
[ROW][C]255[/C][C]86230[/C][C]108089.765942295[/C][C]-21859.7659422946[/C][/ROW]
[ROW][C]256[/C][C]30837[/C][C]31607.9732212161[/C][C]-770.973221216147[/C][/ROW]
[ROW][C]257[/C][C]31706[/C][C]45919.3201003262[/C][C]-14213.3201003262[/C][/ROW]
[ROW][C]258[/C][C]89806[/C][C]81369.8243874984[/C][C]8436.17561250163[/C][/ROW]
[ROW][C]259[/C][C]62088[/C][C]51495.313793086[/C][C]10592.686206914[/C][/ROW]
[ROW][C]260[/C][C]40151[/C][C]34177.5303162381[/C][C]5973.46968376195[/C][/ROW]
[ROW][C]261[/C][C]27634[/C][C]45492.9576135505[/C][C]-17858.9576135505[/C][/ROW]
[ROW][C]262[/C][C]76990[/C][C]67037.9860513776[/C][C]9952.01394862236[/C][/ROW]
[ROW][C]263[/C][C]37460[/C][C]27646.7821111161[/C][C]9813.21788888388[/C][/ROW]
[ROW][C]264[/C][C]54157[/C][C]63938.4163425338[/C][C]-9781.41634253379[/C][/ROW]
[ROW][C]265[/C][C]49862[/C][C]59694.1631269514[/C][C]-9832.16312695136[/C][/ROW]
[ROW][C]266[/C][C]84337[/C][C]77490.5983192999[/C][C]6846.40168070013[/C][/ROW]
[ROW][C]267[/C][C]64175[/C][C]84163.057264155[/C][C]-19988.057264155[/C][/ROW]
[ROW][C]268[/C][C]59382[/C][C]68484.7821644423[/C][C]-9102.78216444234[/C][/ROW]
[ROW][C]269[/C][C]119308[/C][C]71618.5329436453[/C][C]47689.4670563547[/C][/ROW]
[ROW][C]270[/C][C]76702[/C][C]100332.982621878[/C][C]-23630.9826218783[/C][/ROW]
[ROW][C]271[/C][C]103425[/C][C]106565.528441749[/C][C]-3140.52844174894[/C][/ROW]
[ROW][C]272[/C][C]70344[/C][C]63925.0754402048[/C][C]6418.92455979518[/C][/ROW]
[ROW][C]273[/C][C]43410[/C][C]40985.6635649477[/C][C]2424.33643505229[/C][/ROW]
[ROW][C]274[/C][C]104838[/C][C]99896.423449927[/C][C]4941.57655007304[/C][/ROW]
[ROW][C]275[/C][C]62215[/C][C]51068.9412519826[/C][C]11146.0587480174[/C][/ROW]
[ROW][C]276[/C][C]69304[/C][C]90684.1846533375[/C][C]-21380.1846533375[/C][/ROW]
[ROW][C]277[/C][C]53117[/C][C]35786.6271405035[/C][C]17330.3728594965[/C][/ROW]
[ROW][C]278[/C][C]19764[/C][C]10312.686715642[/C][C]9451.31328435803[/C][/ROW]
[ROW][C]279[/C][C]86680[/C][C]89640.2884984814[/C][C]-2960.28849848138[/C][/ROW]
[ROW][C]280[/C][C]84105[/C][C]66162.481739719[/C][C]17942.518260281[/C][/ROW]
[ROW][C]281[/C][C]77945[/C][C]78957.6320373774[/C][C]-1012.63203737739[/C][/ROW]
[ROW][C]282[/C][C]89113[/C][C]75891.6872278064[/C][C]13221.3127721936[/C][/ROW]
[ROW][C]283[/C][C]91005[/C][C]94607.2199664039[/C][C]-3602.21996640386[/C][/ROW]
[ROW][C]284[/C][C]40248[/C][C]29403.9647173933[/C][C]10844.0352826067[/C][/ROW]
[ROW][C]285[/C][C]64187[/C][C]60556.3157614694[/C][C]3630.68423853059[/C][/ROW]
[ROW][C]286[/C][C]50857[/C][C]55742.2145173523[/C][C]-4885.21451735231[/C][/ROW]
[ROW][C]287[/C][C]56613[/C][C]53334.5505509521[/C][C]3278.44944904787[/C][/ROW]
[ROW][C]288[/C][C]62792[/C][C]60159.1396903589[/C][C]2632.86030964105[/C][/ROW]
[ROW][C]289[/C][C]72535[/C][C]73365.2903362674[/C][C]-830.290336267382[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198443&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198443&T=4

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1210907144491.15913873866415.8408612623
2120982117149.0097568173832.9902431828
3176508169570.9765030116937.02349698898
4179321255640.759682957-76319.7596829575
512318596870.163646119226314.8363538808
65274653608.8852638322-862.88526383218
7385534352894.42023561132639.5797643892
83317035657.9495662887-2487.94956628872
910164587028.990946320114616.0090536799
10149061157596.687624324-8535.68762432447
11165446145569.41116386519876.5888361349
12237213206982.70952505330230.290474947
13173326189896.998577363-16570.9985773626
14133131147190.125372487-14059.1253724867
15258873248242.07582933910630.9241706609
16180083161671.51909281818411.4809071818
17324799401058.023966698-76259.0239666981
18230964190246.74402513440717.2559748663
19236785238678.858754804-1893.85875480395
20135473133572.4426505091900.55734949101
21202925199592.8340548993332.16594510058
22215147203589.54058108511557.4594189148
23344297239823.696275087104473.303724913
24153935116522.0680871937412.9319128105
25132943156865.092673437-23922.0926734369
26174724269950.38450629-95226.3845062904
27174415222785.158429481-48370.1584294809
28225548241236.922989458-15688.9229894578
29223632188521.59507954335110.4049204573
30124817131447.550162052-6630.55016205196
31221698201917.33315396219780.666846038
32210767201549.0851711459217.91482885491
33170266168783.0531076121482.94689238801
34260561225520.08100759935040.9189924009
358485398549.4120250315-13696.4120250315
36294424263824.83750464330599.1624953569
3710101167805.38518137333205.614818627
38215641208021.6850575837619.31494241689
39325107256263.79385270568843.2061472949
4071764957.850255212872218.14974478713
41167542154169.33824963613372.6617503641
4210640872979.243013003633428.7569869964
4396560128685.146280989-32125.146280989
44265769270703.067299011-4934.06729901148
45269651296791.506622042-27140.506622042
46149112162232.40689226-13120.4068922599
47175824215115.956267887-39291.9562678875
48152871153103.958219429-232.958219428576
49111665108284.9720173273380.0279826729
50116408219848.596369671-103440.596369671
51362301321506.00501742640794.9949825743
527880097081.4209452976-18281.4209452976
53183167194237.363214149-11070.3632141489
54277965303570.92436694-25605.9243669401
55150629203124.676358577-52495.6763585769
56168809156561.13630777312247.8636922272
572418838800.3591348327-14612.3591348327
58329267279158.0352937850108.9647062198
596502966913.4494819163-1884.44948191624
60101097109317.060239195-8220.06023919508
61218946208625.43102216510320.5689778352
62244052207469.36302150636582.6369784939
63341570305442.23275872736127.7672412732
6410359793530.244661159710066.7553388403
65233328232832.222453941495.777546058647
66256462254634.2111513671827.78884863324
67206161183057.10532695823103.8946730418
68311473302361.972578289111.02742172025
69235800235410.217094862389.78290513768
70177939220727.910734525-42788.9107345245
71207176190184.10933369416991.8906663063
72196553143925.26065428952627.7393457114
73174184133802.14418673340381.8558132666
74143246161617.934944357-18371.9349443568
75187559220375.982791002-32816.9827910023
76187681207548.009272621-19867.0092726213
77119016163150.499237772-44134.4992377719
78182192195180.185707615-12988.1857076148
797356698228.9528386434-24662.9528386434
80194979183150.60618879411828.3938112062
81167488168460.750968297-972.750968296794
82143756175634.677361142-31878.677361142
83275541234651.13060361340889.8693963866
84243199210406.67494695132792.3250530494
85182999164463.22022369218535.779776308
86135649162237.682681318-26588.6826813181
87152299164126.993760044-11827.9937600438
88120221136844.522300968-16623.5223009678
89346485279927.13109681366557.8689031871
90145790155964.798094516-10174.7980945155
91193339182606.84312415410732.1568758459
928095398298.5986985136-17345.5986985136
93122774150397.06094693-27623.0609469301
94130585119480.88700215811104.112997842
9511261190081.879520958922529.1204790411
96286468269063.52504265717404.4749573433
97241066224125.24146956716940.7585304326
98148446274594.507167864-126148.507167864
99204713190402.37866133414310.6213386658
100182079192734.256910724-10655.2569107241
101140344124420.20822621915923.7917737807
102220516238760.834373335-18244.8343733351
103243060193319.05570331749740.9442966834
104162765144913.27646314717851.7235368526
105182613151494.96594121731118.0340587829
106232138211383.67399162520754.3260083751
107265318288885.825787296-23567.8257872964
1088557498655.7062062147-13081.7062062147
109310839286766.44424124224072.5557587582
110225060221731.4501741173328.5498258834
111232317217402.23959944914914.7604005508
112144966168906.83137867-23940.8313786703
1134328756202.2217599856-12915.2217599855
114155754160811.723849833-5057.72384983282
115164709194669.509087567-29960.5090875672
116201940233553.121193103-31613.1211931031
117235454257348.745804981-21894.7458049814
118220801169008.87500939251792.1249906082
1199946692817.03286092766648.96713907235
12092661122901.282317237-30240.2823172373
121133328136800.90761364-3472.90761364014
12261361111264.5592565-49903.5592565004
123125930149503.66447035-23573.6644703497
124100750155626.822399471-54876.8223994711
125224549144300.55817663380248.4418233675
1268231660951.414540008321364.5854599917
12710201090505.670805011111504.3291949889
128101523107676.398017747-6153.3980177474
129243511227941.16090756515569.8390924351
1302293822537.2134431343400.786556865722
1314156643845.4535496657-2279.45354966568
132152474195326.876490722-42852.876490722
1336185750557.455765160911299.5442348391
13499923156844.795369114-56921.7953691142
135132487147284.664994493-14797.6649944932
136317394266377.41834237451016.5816576262
1372105418321.29279496152732.70720503854
138209641171750.95425765237890.0457423478
1392264845597.3348562868-22949.3348562868
1403141445030.0883334417-13616.0883334417
1414669869567.1656950786-22869.1656950786
142131698140215.093091146-8517.09309114585
1439173582704.20768280429030.79231719579
144244749255465.571005505-10716.5710055053
145184510171101.75817384713408.2418261529
14679863106210.94505426-26347.9450542604
147128423129015.630443963-592.630443963175
14897839109741.199854219-11902.1998542191
1493821458799.0611170919-20585.0611170919
150151101146704.764581024396.23541898022
151272458243244.18097038229213.8190296176
152172494148511.15636245723982.8436375428
153108043121395.461994111-13352.4619941113
154328107318601.9662093619505.03379063856
155250579235961.3621984614617.6378015405
156351067303701.35733211647365.6426678837
157158015132122.84392489425892.1560751058
1589886678507.305968256220358.6940317438
15985439107888.769164412-22449.7691644116
160229242246847.54817164-17605.5481716403
161351619326452.07508919925166.9249108006
1628420794700.6113091157-10493.6113091157
163120445134439.456144014-13994.4561440137
164324598343536.539392573-18938.5393925732
165131069165002.542647175-33933.5426471748
166204271168613.77514099935657.2248590014
167165543173512.434023613-7969.43402361309
168141722131886.4053183269835.59468167356
16911604896116.282159040919931.7178409591
170250047158858.75053627491188.2494637261
171299775311493.252257155-11718.2522571554
172195838194127.5744509251710.42554907509
173173260167512.2195591325747.78044086825
174254488239785.25358013914702.7464198605
175104389192986.783316279-88597.7833162793
176136084130507.2952848295576.70471517076
177199476230830.466210354-31354.466210354
1789249983664.38147204478834.61852795529
179224330228201.025401886-3871.02540188575
180135781101306.42907743134474.5709225691
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18281240135800.828492964-54560.8284929642
183146887027.375517456957660.62448254305
184181633162145.51594109319487.4840589075
185271856251451.42542932620404.5745706736
18671995156.067839893632042.93216010637
1874666048132.2402009857-1472.24020098572
188175472257.5841624347215289.4158375653
189133368121130.3857026812237.6142973203
1909522797576.6434324315-2349.64343243149
191152601126853.56892353925747.4310764609
19298146102951.152271751-4805.15227175085
1937961996148.3966226176-16529.3966226176
1945919463627.0791916232-4433.07919162317
195139942135445.960239124496.03976088044
196118612112533.6426364746078.35736352642
1977288089997.8452446587-17117.8452446588
1986547553950.564136136911524.4358638631
19999643130512.957888839-30869.9578888387
2007196574285.6801155916-2320.68011559157
2017727271287.01729634455984.9827036555
2024928954975.8921545735-5686.89215457349
203135131119824.18771139115306.8122886091
20410844698099.796029380710346.2039706193
20589746119579.472108015-29833.4721080149
2064429656042.8536975395-11746.8536975395
2077764882899.5758838453-5251.57588384531
208181528135530.22841628545997.7715837154
209134019110271.20938615823747.7906138417
210124064121520.9825148652543.01748513495
2119263080976.682273661911653.3177263381
21212184894176.799360688427671.2006393116
2135291554146.6778027061-1231.6778027061
2148187278898.30601556392973.69398443612
2155898188267.6716161991-29286.6716161991
2165351561320.1761931488-7805.17619314876
2176081292439.9562223896-31627.9562223896
2185637550015.38069436359.61930569997
2196549063515.55256488451974.44743511553
2208094952747.342841103228201.6571588968
2217630292411.8168037333-16109.8168037333
222104011103716.888919519294.111080480622
22398104147414.553404399-49310.5534043987
2246798959271.71914607078717.28085392934
2253098932922.6505524499-1933.65055244995
226135458134842.780756932615.219243067923
2277350455672.915667161417831.0843328386
2286312388244.2416113029-25121.2416113029
2296125489847.4532818919-28593.4532818919
23074914108489.42463313-33575.4246331301
2313177444071.8402012405-12297.8402012405
2328143784002.1571028128-2565.15710281279
23387186117098.152854766-29912.1528547659
2345009058254.8286546463-8164.82865464626
2356574597501.9499062636-31756.9499062636
2365665371911.2108782327-15258.2108782327
237158399105190.1095393153208.8904606897
2384645560127.4537560834-13672.4537560834
2397362487163.0758438747-13539.0758438748
2403839560295.8045929714-21900.8045929714
2419189979090.739108249812808.2608917502
242139526134260.8865698765265.11343012423
2435216469024.1680894686-16860.1680894686
2445156758610.7313656371-7043.73136563711
2457055171591.2668093402-1040.26680934021
2468485694354.5025310641-9498.50253106407
247102538124193.762782491-21655.7627824906
2488667863755.343241256922922.6567587431
2498570977003.48046678648705.51953321361
2503466249764.8841856123-15102.8841856123
251150580133614.67489324216965.3251067579
2529961190962.69684567928648.30315432079
253193499447.619220434139901.38077956587
2549937396798.68173914442574.31826085558
25586230108089.765942295-21859.7659422946
2563083731607.9732212161-770.973221216147
2573170645919.3201003262-14213.3201003262
2588980681369.82438749848436.17561250163
2596208851495.31379308610592.686206914
2604015134177.53031623815973.46968376195
2612763445492.9576135505-17858.9576135505
2627699067037.98605137769952.01394862236
2633746027646.78211111619813.21788888388
2645415763938.4163425338-9781.41634253379
2654986259694.1631269514-9832.16312695136
2668433777490.59831929996846.40168070013
2676417584163.057264155-19988.057264155
2685938268484.7821644423-9102.78216444234
26911930871618.532943645347689.4670563547
27076702100332.982621878-23630.9826218783
271103425106565.528441749-3140.52844174894
2727034463925.07544020486418.92455979518
2734341040985.66356494772424.33643505229
27410483899896.4234499274941.57655007304
2756221551068.941251982611146.0587480174
2766930490684.1846533375-21380.1846533375
2775311735786.627140503517330.3728594965
2781976410312.6867156429451.31328435803
2798668089640.2884984814-2960.28849848138
2808410566162.48173971917942.518260281
2817794578957.6320373774-1012.63203737739
2828911375891.687227806413221.3127721936
2839100594607.2199664039-3602.21996640386
2844024829403.964717393310844.0352826067
2856418760556.31576146943630.68423853059
2865085755742.2145173523-4885.21451735231
2875661353334.55055095213278.44944904787
2886279260159.13969035892632.86030964105
2897253573365.2903362674-830.290336267382







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.9511870962457390.09762580750852190.0488129037542609
110.9065523744887840.1868952510224310.0934476255112156
120.8994817230139690.2010365539720630.100518276986031
130.9304168103675060.1391663792649880.069583189632494
140.8933013280825020.2133973438349950.106698671917498
150.8543649949880550.291270010023890.145635005011945
160.7970013445656650.4059973108686710.202998655434335
170.8511020946429750.2977958107140510.148897905357025
180.805802008405040.3883959831899190.19419799159496
190.7871496274229710.4257007451540580.212850372577029
200.8541974312376330.2916051375247340.145802568762367
210.8217702781406170.3564594437187660.178229721859383
220.7779086500872650.4441826998254710.222091349912735
230.9931221432327090.01375571353458190.00687785676729095
240.990967265214360.01806546957128030.00903273478564013
250.9912097792204670.01758044155906540.00879022077953272
260.9981896640285860.003620671942827610.00181033597141381
270.9989695774225610.002060845154878890.00103042257743945
280.9983973724729740.00320525505405170.00160262752702585
290.998329845727130.003340308545740410.00167015427287021
300.9982952088747010.003409582250597820.00170479112529891
310.9980509380999340.003898123800131850.00194906190006592
320.9971221167029490.005755766594101250.00287788329705063
330.9959016196391430.008196760721713170.00409838036085659
340.9956461970315910.008707605936818920.00435380296840946
350.9959908327552350.008018334489528990.00400916724476449
360.9949645631153430.01007087376931430.00503543688465714
370.9933929854228610.01321402915427870.00660701457713935
380.9909749376711440.01805012465771230.00902506232885613
390.9976182858946530.004763428210693380.00238171410534669
400.9979408793575610.004118241284877910.00205912064243895
410.9971258511946350.005748297610730840.00287414880536542
420.9963671525048640.007265694990272870.00363284749513643
430.9952929782312810.00941404353743740.0047070217687187
440.9934223607938830.01315527841223330.00657763920611666
450.9946214979564650.01075700408707060.00537850204353532
460.9928999282278820.01420014354423540.0071000717721177
470.9919441983018920.01611160339621680.00805580169810839
480.9892191038236490.02156179235270130.0107808961763506
490.9858039635024170.02839207299516610.0141960364975831
500.9994397815878260.001120436824348460.00056021841217423
510.9999513262255849.73475488322126e-054.86737744161063e-05
520.9999351876588250.0001296246823490116.48123411745057e-05
530.9999088021650830.0001823956698329639.11978349164817e-05
540.9998891609045470.0002216781909050770.000110839095452539
550.9999604181414027.91637171957731e-053.95818585978866e-05
560.9999409208977280.0001181582045436715.90791022718357e-05
570.9999335807374370.0001328385251262136.64192625631063e-05
580.9999756710118214.86579763582214e-052.43289881791107e-05
590.9999629965547437.40068905147681e-053.7003445257384e-05
600.9999484343363110.0001031313273784815.15656636892403e-05
610.9999292787383510.000141442523297487.07212616487399e-05
620.9999353433509020.0001293132981968946.46566490984472e-05
630.9999392044605380.0001215910789241016.07955394620507e-05
640.9999113393376420.0001773213247166618.86606623583305e-05
650.9998845834721120.0002308330557751250.000115416527887563
660.9998341089011810.0003317821976374950.000165891098818748
670.9997939372831120.0004121254337753740.000206062716887687
680.9997090668399180.0005818663201647630.000290933160082381
690.9996193305849930.0007613388300135170.000380669415006759
700.9996856373852180.0006287252295633080.000314362614781654
710.9996291331247760.000741733750447250.000370866875223625
720.9998334465338590.0003331069322827360.000166553466141368
730.9998517872709440.0002964254581118990.000148212729055949
740.9998399972478480.0003200055043047960.000160002752152398
750.9998544051453590.0002911897092817970.000145594854640899
760.9998477128936480.0003045742127041930.000152287106352096
770.9999327448288010.0001345103423988976.72551711994485e-05
780.9999083031036590.0001833937926814249.16968963407121e-05
790.9998999409955540.0002001180088914330.000100059004445717
800.9998653217810780.0002693564378430.0001346782189215
810.9998081519098640.000383696180271030.000191848090135515
820.9998354217027040.0003291565945929240.000164578297296462
830.9998795362028510.0002409275942976950.000120463797148848
840.999885202574260.0002295948514805130.000114797425740257
850.999852869118420.0002942617631606470.000147130881580323
860.9998546472300880.0002907055398233650.000145352769911683
870.999807422484410.0003851550311808160.000192577515590408
880.9997630018555420.0004739962889160020.000236998144458001
890.9999455971433240.0001088057133527475.44028566763735e-05
900.9999268077203110.0001463845593785737.31922796892865e-05
910.9999001108746070.0001997782507864319.98891253932153e-05
920.9998789650505420.0002420698989168910.000121034949458445
930.9998709138563450.0002581722873103440.000129086143655172
940.9998272342916270.0003455314167453380.000172765708372669
950.9997957600214260.0004084799571480190.000204239978574009
960.9997611894978860.0004776210042278290.000238810502113914
970.999699828364990.0006003432700200910.000300171635010046
980.9999997800414894.39917021978144e-072.19958510989072e-07
990.9999996817565636.36486874181308e-073.18243437090654e-07
1000.9999995383153079.23369385777636e-074.61684692888818e-07
1010.9999993617477381.27650452365803e-066.38252261829017e-07
1020.999999202536231.59492754018386e-067.97463770091932e-07
1030.9999996785110796.42977841316869e-073.21488920658434e-07
1040.9999995675445198.64910961190088e-074.32455480595044e-07
1050.9999995935674558.12865089355715e-074.06432544677857e-07
1060.9999994933371581.01332568423572e-065.06662842117858e-07
1070.9999993937256761.21254864798671e-066.06274323993356e-07
1080.9999991752089241.64958215229058e-068.24791076145289e-07
1090.9999990632530451.87349390960793e-069.36746954803966e-07
1100.9999985717729182.85645416437836e-061.42822708218918e-06
1110.9999980804341723.83913165565294e-061.91956582782647e-06
1120.9999979694293474.06114130568099e-062.0305706528405e-06
1130.9999972799215195.44015696132654e-062.72007848066327e-06
1140.9999960135130927.97297381526173e-063.98648690763087e-06
1150.9999963779340437.24413191445295e-063.62206595722648e-06
1160.9999967945791036.41084179433796e-063.20542089716898e-06
1170.9999964007745277.19845094636155e-063.59922547318077e-06
1180.9999986537324082.69253518396605e-061.34626759198303e-06
1190.9999979712238344.05755233283688e-062.02877616641844e-06
1200.9999980619085883.87618282440433e-061.93809141220216e-06
1210.9999971150777585.76984448330194e-062.88492224165097e-06
1220.9999989645005862.07099882893032e-061.03549941446516e-06
1230.9999987442514072.51149718605898e-061.25574859302949e-06
1240.9999996432792417.13441518032788e-073.56720759016394e-07
1250.9999999875824142.48351728415109e-081.24175864207555e-08
1260.9999999851485082.97029850543016e-081.48514925271508e-08
1270.9999999783327364.33345283721939e-082.1667264186097e-08
1280.9999999658401646.83196720451724e-083.41598360225862e-08
1290.9999999523230379.53539254669764e-084.76769627334882e-08
1300.999999923839951.52320099235352e-077.61600496176761e-08
1310.9999998805725992.38854802140181e-071.19427401070091e-07
1320.9999999482473741.03505252188582e-075.17526260942912e-08
1330.9999999251314951.49737010137759e-077.48685050688794e-08
1340.999999985513182.89736404926755e-081.44868202463378e-08
1350.9999999795102174.09795649645401e-082.048978248227e-08
1360.999999992323571.53528592492207e-087.67642962461033e-09
1370.9999999873686552.52626905994402e-081.26313452997201e-08
1380.999999992408121.51837598020489e-087.59187990102443e-09
1390.9999999914558671.70882667753939e-088.54413338769697e-09
1400.9999999878059392.43881225474249e-081.21940612737125e-08
1410.9999999867324132.65351731205349e-081.32675865602675e-08
1420.9999999793853974.12292055916932e-082.06146027958466e-08
1430.9999999683689926.32620166811714e-083.16310083405857e-08
1440.999999952022389.59552408447609e-084.79776204223805e-08
1450.9999999362899241.27420152516579e-076.37100762582893e-08
1460.9999999309479121.38104176053408e-076.90520880267041e-08
1470.9999998963924362.07215128677829e-071.03607564338914e-07
1480.999999851437142.97125720999046e-071.48562860499523e-07
1490.9999998230398673.53920265435037e-071.76960132717519e-07
1500.9999997252012355.49597530654683e-072.74798765327342e-07
1510.9999997273900135.45219974007612e-072.72609987003806e-07
1520.9999996957504916.08499017687184e-073.04249508843592e-07
1530.9999995904545068.19090988092107e-074.09545494046054e-07
1540.999999393273831.21345234072721e-066.06726170363607e-07
1550.9999992096522281.58069554385508e-067.90347771927539e-07
1560.9999997836618054.32676390272056e-072.16338195136028e-07
1570.9999998010812413.9783751725229e-071.98918758626145e-07
1580.9999997843205254.31358949212482e-072.15679474606241e-07
1590.9999997513898884.97220224598078e-072.48610112299039e-07
1600.9999997037963385.92407324741725e-072.96203662370862e-07
1610.9999997322131125.35573776204542e-072.67786888102271e-07
1620.9999996032541227.93491755603974e-073.96745877801987e-07
1630.9999995398946129.2021077667085e-074.60105388335425e-07
1640.9999994080880171.18382396630782e-065.91911983153908e-07
1650.9999995154227789.6915444426696e-074.8457722213348e-07
1660.9999998173343253.65331349886303e-071.82665674943152e-07
1670.9999997201335685.5973286440632e-072.7986643220316e-07
1680.9999995701114248.59777151883413e-074.29888575941707e-07
1690.999999486203631.02759273985698e-065.13796369928491e-07
1700.9999999977392544.5214924582143e-092.26074622910715e-09
1710.9999999961615227.67695588165977e-093.83847794082989e-09
1720.9999999944515011.10969975546406e-085.54849877732028e-09
1730.99999999071591.85682008269092e-089.28410041345459e-09
1740.9999999959739438.05211343926835e-094.02605671963417e-09
1750.9999999998865342.26932573363931e-101.13466286681965e-10
1760.9999999998079983.8400326673971e-101.92001633369855e-10
1770.999999999818023.63959625950935e-101.81979812975468e-10
1780.9999999996967596.06481364402529e-103.03240682201264e-10
1790.9999999994509111.09817872849036e-095.49089364245181e-10
1800.999999999800913.9817951211077e-101.99089756055385e-10
1810.9999999997677854.64429833593048e-102.32214916796524e-10
1820.9999999999813433.73135098990981e-111.86567549495491e-11
1830.9999999999649647.00723915223285e-113.50361957611642e-11
1840.9999999999621577.56855202420109e-113.78427601210054e-11
1850.9999999999747065.05874674379942e-112.52937337189971e-11
1860.9999999999537479.25064255047248e-114.62532127523624e-11
1870.9999999999170811.65838456249684e-108.29192281248419e-11
1880.9999999998533192.93362604902081e-101.4668130245104e-10
1890.9999999997990984.01804298133733e-102.00902149066867e-10
1900.9999999996416227.16755020469989e-103.58377510234995e-10
1910.999999999834043.31919064796572e-101.65959532398286e-10
1920.9999999996915096.16982222988545e-103.08491111494272e-10
1930.9999999995162369.67527318956441e-104.8376365947822e-10
1940.9999999992004781.59904367925499e-097.99521839627496e-10
1950.9999999988071662.38566875750416e-091.19283437875208e-09
1960.9999999981449443.71011275877701e-091.8550563793885e-09
1970.9999999974228665.15426786608815e-092.57713393304407e-09
1980.9999999960001347.9997320372208e-093.9998660186104e-09
1990.9999999970430015.91399868078442e-092.95699934039221e-09
2000.9999999945665391.08669228404653e-085.43346142023264e-09
2010.9999999903495221.93009562349639e-089.65047811748195e-09
2020.9999999826660383.46679250793791e-081.73339625396896e-08
2030.9999999766588194.66823622273513e-082.33411811136757e-08
2040.9999999645186387.09627247086159e-083.5481362354308e-08
2050.999999960476727.90465605318252e-083.95232802659126e-08
2060.9999999390810741.21837851599772e-076.09189257998861e-08
2070.9999998942171432.11565713294278e-071.05782856647139e-07
2080.9999999866207632.67584740122428e-081.33792370061214e-08
2090.9999999906899451.86201108794268e-089.31005543971339e-09
2100.9999999872285652.55428693106635e-081.27714346553317e-08
2110.9999999825294923.49410151763398e-081.74705075881699e-08
2120.9999999927092531.45814930846861e-087.29074654234306e-09
2130.9999999861994142.76011717403208e-081.38005858701604e-08
2140.9999999756088754.8782250408874e-082.4391125204437e-08
2150.999999976421024.71579596971139e-082.35789798485569e-08
2160.9999999615494537.69010933314783e-083.84505466657391e-08
2170.9999999733927925.32144157562621e-082.6607207878131e-08
2180.9999999505652389.88695246158843e-084.94347623079421e-08
2190.9999999132413821.7351723535555e-078.67586176777752e-08
2200.9999999333051321.33389736365389e-076.66948681826944e-08
2210.9999998855262862.28947428253442e-071.14473714126721e-07
2220.9999998197619663.60476068825883e-071.80238034412941e-07
2230.9999999383726481.23254703327578e-076.16273516637888e-08
2240.9999999042031111.91593778720452e-079.57968893602261e-08
2250.9999998211518233.57696354495185e-071.78848177247593e-07
2260.9999996702417056.59516590036224e-073.29758295018112e-07
2270.9999995013767099.97246581959733e-074.98623290979867e-07
2280.9999993975918781.20481624336012e-066.02408121680059e-07
2290.9999995135634979.72873005425801e-074.864365027129e-07
2300.9999996203096027.59380795808934e-073.79690397904467e-07
2310.999999481704371.03659125954076e-065.18295629770378e-07
2320.9999990223605671.95527886665601e-069.77639433328006e-07
2330.9999994171762341.16564753251327e-065.82823766256636e-07
2340.9999990338177831.93236443416552e-069.66182217082758e-07
2350.9999995644532628.71093475678441e-074.35546737839221e-07
2360.9999992774189621.44516207503876e-067.22581037519379e-07
2370.9999999942933041.14133913501191e-085.70669567505954e-09
2380.9999999908192921.83614159178558e-089.1807079589279e-09
2390.9999999888273792.23452424150398e-081.11726212075199e-08
2400.9999999924473331.5105334632163e-087.55266731608149e-09
2410.9999999864245472.71509055498822e-081.35754527749411e-08
2420.999999975069654.98606999761918e-082.49303499880959e-08
2430.999999973458865.30822802676487e-082.65411401338244e-08
2440.9999999426814081.14637184966074e-075.73185924830372e-08
2450.9999998752157392.49568522549034e-071.24784261274517e-07
2460.9999997229571715.54085658362525e-072.77042829181263e-07
2470.9999996293223317.41355338354091e-073.70677669177046e-07
2480.9999996614935976.77012806389341e-073.3850640319467e-07
2490.9999992705282271.45894354581636e-067.29471772908178e-07
2500.9999989213041762.15739164777886e-061.07869582388943e-06
2510.9999986617570272.67648594563826e-061.33824297281913e-06
2520.9999973627268295.27454634275807e-062.63727317137904e-06
2530.9999942957577151.1408484568948e-055.70424228447402e-06
2540.9999882612379652.34775240703039e-051.1738762035152e-05
2550.9999831747474823.36505050368381e-051.68252525184191e-05
2560.9999685671916076.28656167869014e-053.14328083934507e-05
2570.99997049820835.90035833995882e-052.95017916997941e-05
2580.999944970955230.0001100580895400625.50290447700308e-05
2590.9999070036084010.0001859927831973919.29963915986955e-05
2600.9998065551342920.0003868897314154330.000193444865707717
2610.9998555548772610.0002888902454772640.000144445122738632
2620.9997162221567390.0005675556865210350.000283777843260517
2630.9994154967499940.001169006500012850.000584503250006426
2640.9991516268840920.001696746231815180.000848373115907589
2650.9987614548711370.002477090257725220.00123854512886261
2660.9975491985494390.004901602901121950.00245080145056097
2670.9976104621231250.004779075753749780.00238953787687489
2680.9969166982064170.00616660358716670.00308330179358335
2690.9999703465169375.9306966126364e-052.9653483063182e-05
2700.9999954003528199.19929436106454e-064.59964718053227e-06
2710.9999887602696962.2479460608727e-051.12397303043635e-05
2720.999955305415058.9389169899214e-054.4694584949607e-05
2730.9999620107657167.59784685684144e-053.79892342842072e-05
2740.9998393281527490.0003213436945023550.000160671847251178
2750.9995991734207960.0008016531584075780.000400826579203789
2760.9986821590479430.002635681904114060.00131784095205703
2770.9971409969131830.005718006173634770.00285900308681739
2780.9882375794470060.02352484110598760.0117624205529938
2790.9561124756238480.08777504875230480.0438875243761524

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
10 & 0.951187096245739 & 0.0976258075085219 & 0.0488129037542609 \tabularnewline
11 & 0.906552374488784 & 0.186895251022431 & 0.0934476255112156 \tabularnewline
12 & 0.899481723013969 & 0.201036553972063 & 0.100518276986031 \tabularnewline
13 & 0.930416810367506 & 0.139166379264988 & 0.069583189632494 \tabularnewline
14 & 0.893301328082502 & 0.213397343834995 & 0.106698671917498 \tabularnewline
15 & 0.854364994988055 & 0.29127001002389 & 0.145635005011945 \tabularnewline
16 & 0.797001344565665 & 0.405997310868671 & 0.202998655434335 \tabularnewline
17 & 0.851102094642975 & 0.297795810714051 & 0.148897905357025 \tabularnewline
18 & 0.80580200840504 & 0.388395983189919 & 0.19419799159496 \tabularnewline
19 & 0.787149627422971 & 0.425700745154058 & 0.212850372577029 \tabularnewline
20 & 0.854197431237633 & 0.291605137524734 & 0.145802568762367 \tabularnewline
21 & 0.821770278140617 & 0.356459443718766 & 0.178229721859383 \tabularnewline
22 & 0.777908650087265 & 0.444182699825471 & 0.222091349912735 \tabularnewline
23 & 0.993122143232709 & 0.0137557135345819 & 0.00687785676729095 \tabularnewline
24 & 0.99096726521436 & 0.0180654695712803 & 0.00903273478564013 \tabularnewline
25 & 0.991209779220467 & 0.0175804415590654 & 0.00879022077953272 \tabularnewline
26 & 0.998189664028586 & 0.00362067194282761 & 0.00181033597141381 \tabularnewline
27 & 0.998969577422561 & 0.00206084515487889 & 0.00103042257743945 \tabularnewline
28 & 0.998397372472974 & 0.0032052550540517 & 0.00160262752702585 \tabularnewline
29 & 0.99832984572713 & 0.00334030854574041 & 0.00167015427287021 \tabularnewline
30 & 0.998295208874701 & 0.00340958225059782 & 0.00170479112529891 \tabularnewline
31 & 0.998050938099934 & 0.00389812380013185 & 0.00194906190006592 \tabularnewline
32 & 0.997122116702949 & 0.00575576659410125 & 0.00287788329705063 \tabularnewline
33 & 0.995901619639143 & 0.00819676072171317 & 0.00409838036085659 \tabularnewline
34 & 0.995646197031591 & 0.00870760593681892 & 0.00435380296840946 \tabularnewline
35 & 0.995990832755235 & 0.00801833448952899 & 0.00400916724476449 \tabularnewline
36 & 0.994964563115343 & 0.0100708737693143 & 0.00503543688465714 \tabularnewline
37 & 0.993392985422861 & 0.0132140291542787 & 0.00660701457713935 \tabularnewline
38 & 0.990974937671144 & 0.0180501246577123 & 0.00902506232885613 \tabularnewline
39 & 0.997618285894653 & 0.00476342821069338 & 0.00238171410534669 \tabularnewline
40 & 0.997940879357561 & 0.00411824128487791 & 0.00205912064243895 \tabularnewline
41 & 0.997125851194635 & 0.00574829761073084 & 0.00287414880536542 \tabularnewline
42 & 0.996367152504864 & 0.00726569499027287 & 0.00363284749513643 \tabularnewline
43 & 0.995292978231281 & 0.0094140435374374 & 0.0047070217687187 \tabularnewline
44 & 0.993422360793883 & 0.0131552784122333 & 0.00657763920611666 \tabularnewline
45 & 0.994621497956465 & 0.0107570040870706 & 0.00537850204353532 \tabularnewline
46 & 0.992899928227882 & 0.0142001435442354 & 0.0071000717721177 \tabularnewline
47 & 0.991944198301892 & 0.0161116033962168 & 0.00805580169810839 \tabularnewline
48 & 0.989219103823649 & 0.0215617923527013 & 0.0107808961763506 \tabularnewline
49 & 0.985803963502417 & 0.0283920729951661 & 0.0141960364975831 \tabularnewline
50 & 0.999439781587826 & 0.00112043682434846 & 0.00056021841217423 \tabularnewline
51 & 0.999951326225584 & 9.73475488322126e-05 & 4.86737744161063e-05 \tabularnewline
52 & 0.999935187658825 & 0.000129624682349011 & 6.48123411745057e-05 \tabularnewline
53 & 0.999908802165083 & 0.000182395669832963 & 9.11978349164817e-05 \tabularnewline
54 & 0.999889160904547 & 0.000221678190905077 & 0.000110839095452539 \tabularnewline
55 & 0.999960418141402 & 7.91637171957731e-05 & 3.95818585978866e-05 \tabularnewline
56 & 0.999940920897728 & 0.000118158204543671 & 5.90791022718357e-05 \tabularnewline
57 & 0.999933580737437 & 0.000132838525126213 & 6.64192625631063e-05 \tabularnewline
58 & 0.999975671011821 & 4.86579763582214e-05 & 2.43289881791107e-05 \tabularnewline
59 & 0.999962996554743 & 7.40068905147681e-05 & 3.7003445257384e-05 \tabularnewline
60 & 0.999948434336311 & 0.000103131327378481 & 5.15656636892403e-05 \tabularnewline
61 & 0.999929278738351 & 0.00014144252329748 & 7.07212616487399e-05 \tabularnewline
62 & 0.999935343350902 & 0.000129313298196894 & 6.46566490984472e-05 \tabularnewline
63 & 0.999939204460538 & 0.000121591078924101 & 6.07955394620507e-05 \tabularnewline
64 & 0.999911339337642 & 0.000177321324716661 & 8.86606623583305e-05 \tabularnewline
65 & 0.999884583472112 & 0.000230833055775125 & 0.000115416527887563 \tabularnewline
66 & 0.999834108901181 & 0.000331782197637495 & 0.000165891098818748 \tabularnewline
67 & 0.999793937283112 & 0.000412125433775374 & 0.000206062716887687 \tabularnewline
68 & 0.999709066839918 & 0.000581866320164763 & 0.000290933160082381 \tabularnewline
69 & 0.999619330584993 & 0.000761338830013517 & 0.000380669415006759 \tabularnewline
70 & 0.999685637385218 & 0.000628725229563308 & 0.000314362614781654 \tabularnewline
71 & 0.999629133124776 & 0.00074173375044725 & 0.000370866875223625 \tabularnewline
72 & 0.999833446533859 & 0.000333106932282736 & 0.000166553466141368 \tabularnewline
73 & 0.999851787270944 & 0.000296425458111899 & 0.000148212729055949 \tabularnewline
74 & 0.999839997247848 & 0.000320005504304796 & 0.000160002752152398 \tabularnewline
75 & 0.999854405145359 & 0.000291189709281797 & 0.000145594854640899 \tabularnewline
76 & 0.999847712893648 & 0.000304574212704193 & 0.000152287106352096 \tabularnewline
77 & 0.999932744828801 & 0.000134510342398897 & 6.72551711994485e-05 \tabularnewline
78 & 0.999908303103659 & 0.000183393792681424 & 9.16968963407121e-05 \tabularnewline
79 & 0.999899940995554 & 0.000200118008891433 & 0.000100059004445717 \tabularnewline
80 & 0.999865321781078 & 0.000269356437843 & 0.0001346782189215 \tabularnewline
81 & 0.999808151909864 & 0.00038369618027103 & 0.000191848090135515 \tabularnewline
82 & 0.999835421702704 & 0.000329156594592924 & 0.000164578297296462 \tabularnewline
83 & 0.999879536202851 & 0.000240927594297695 & 0.000120463797148848 \tabularnewline
84 & 0.99988520257426 & 0.000229594851480513 & 0.000114797425740257 \tabularnewline
85 & 0.99985286911842 & 0.000294261763160647 & 0.000147130881580323 \tabularnewline
86 & 0.999854647230088 & 0.000290705539823365 & 0.000145352769911683 \tabularnewline
87 & 0.99980742248441 & 0.000385155031180816 & 0.000192577515590408 \tabularnewline
88 & 0.999763001855542 & 0.000473996288916002 & 0.000236998144458001 \tabularnewline
89 & 0.999945597143324 & 0.000108805713352747 & 5.44028566763735e-05 \tabularnewline
90 & 0.999926807720311 & 0.000146384559378573 & 7.31922796892865e-05 \tabularnewline
91 & 0.999900110874607 & 0.000199778250786431 & 9.98891253932153e-05 \tabularnewline
92 & 0.999878965050542 & 0.000242069898916891 & 0.000121034949458445 \tabularnewline
93 & 0.999870913856345 & 0.000258172287310344 & 0.000129086143655172 \tabularnewline
94 & 0.999827234291627 & 0.000345531416745338 & 0.000172765708372669 \tabularnewline
95 & 0.999795760021426 & 0.000408479957148019 & 0.000204239978574009 \tabularnewline
96 & 0.999761189497886 & 0.000477621004227829 & 0.000238810502113914 \tabularnewline
97 & 0.99969982836499 & 0.000600343270020091 & 0.000300171635010046 \tabularnewline
98 & 0.999999780041489 & 4.39917021978144e-07 & 2.19958510989072e-07 \tabularnewline
99 & 0.999999681756563 & 6.36486874181308e-07 & 3.18243437090654e-07 \tabularnewline
100 & 0.999999538315307 & 9.23369385777636e-07 & 4.61684692888818e-07 \tabularnewline
101 & 0.999999361747738 & 1.27650452365803e-06 & 6.38252261829017e-07 \tabularnewline
102 & 0.99999920253623 & 1.59492754018386e-06 & 7.97463770091932e-07 \tabularnewline
103 & 0.999999678511079 & 6.42977841316869e-07 & 3.21488920658434e-07 \tabularnewline
104 & 0.999999567544519 & 8.64910961190088e-07 & 4.32455480595044e-07 \tabularnewline
105 & 0.999999593567455 & 8.12865089355715e-07 & 4.06432544677857e-07 \tabularnewline
106 & 0.999999493337158 & 1.01332568423572e-06 & 5.06662842117858e-07 \tabularnewline
107 & 0.999999393725676 & 1.21254864798671e-06 & 6.06274323993356e-07 \tabularnewline
108 & 0.999999175208924 & 1.64958215229058e-06 & 8.24791076145289e-07 \tabularnewline
109 & 0.999999063253045 & 1.87349390960793e-06 & 9.36746954803966e-07 \tabularnewline
110 & 0.999998571772918 & 2.85645416437836e-06 & 1.42822708218918e-06 \tabularnewline
111 & 0.999998080434172 & 3.83913165565294e-06 & 1.91956582782647e-06 \tabularnewline
112 & 0.999997969429347 & 4.06114130568099e-06 & 2.0305706528405e-06 \tabularnewline
113 & 0.999997279921519 & 5.44015696132654e-06 & 2.72007848066327e-06 \tabularnewline
114 & 0.999996013513092 & 7.97297381526173e-06 & 3.98648690763087e-06 \tabularnewline
115 & 0.999996377934043 & 7.24413191445295e-06 & 3.62206595722648e-06 \tabularnewline
116 & 0.999996794579103 & 6.41084179433796e-06 & 3.20542089716898e-06 \tabularnewline
117 & 0.999996400774527 & 7.19845094636155e-06 & 3.59922547318077e-06 \tabularnewline
118 & 0.999998653732408 & 2.69253518396605e-06 & 1.34626759198303e-06 \tabularnewline
119 & 0.999997971223834 & 4.05755233283688e-06 & 2.02877616641844e-06 \tabularnewline
120 & 0.999998061908588 & 3.87618282440433e-06 & 1.93809141220216e-06 \tabularnewline
121 & 0.999997115077758 & 5.76984448330194e-06 & 2.88492224165097e-06 \tabularnewline
122 & 0.999998964500586 & 2.07099882893032e-06 & 1.03549941446516e-06 \tabularnewline
123 & 0.999998744251407 & 2.51149718605898e-06 & 1.25574859302949e-06 \tabularnewline
124 & 0.999999643279241 & 7.13441518032788e-07 & 3.56720759016394e-07 \tabularnewline
125 & 0.999999987582414 & 2.48351728415109e-08 & 1.24175864207555e-08 \tabularnewline
126 & 0.999999985148508 & 2.97029850543016e-08 & 1.48514925271508e-08 \tabularnewline
127 & 0.999999978332736 & 4.33345283721939e-08 & 2.1667264186097e-08 \tabularnewline
128 & 0.999999965840164 & 6.83196720451724e-08 & 3.41598360225862e-08 \tabularnewline
129 & 0.999999952323037 & 9.53539254669764e-08 & 4.76769627334882e-08 \tabularnewline
130 & 0.99999992383995 & 1.52320099235352e-07 & 7.61600496176761e-08 \tabularnewline
131 & 0.999999880572599 & 2.38854802140181e-07 & 1.19427401070091e-07 \tabularnewline
132 & 0.999999948247374 & 1.03505252188582e-07 & 5.17526260942912e-08 \tabularnewline
133 & 0.999999925131495 & 1.49737010137759e-07 & 7.48685050688794e-08 \tabularnewline
134 & 0.99999998551318 & 2.89736404926755e-08 & 1.44868202463378e-08 \tabularnewline
135 & 0.999999979510217 & 4.09795649645401e-08 & 2.048978248227e-08 \tabularnewline
136 & 0.99999999232357 & 1.53528592492207e-08 & 7.67642962461033e-09 \tabularnewline
137 & 0.999999987368655 & 2.52626905994402e-08 & 1.26313452997201e-08 \tabularnewline
138 & 0.99999999240812 & 1.51837598020489e-08 & 7.59187990102443e-09 \tabularnewline
139 & 0.999999991455867 & 1.70882667753939e-08 & 8.54413338769697e-09 \tabularnewline
140 & 0.999999987805939 & 2.43881225474249e-08 & 1.21940612737125e-08 \tabularnewline
141 & 0.999999986732413 & 2.65351731205349e-08 & 1.32675865602675e-08 \tabularnewline
142 & 0.999999979385397 & 4.12292055916932e-08 & 2.06146027958466e-08 \tabularnewline
143 & 0.999999968368992 & 6.32620166811714e-08 & 3.16310083405857e-08 \tabularnewline
144 & 0.99999995202238 & 9.59552408447609e-08 & 4.79776204223805e-08 \tabularnewline
145 & 0.999999936289924 & 1.27420152516579e-07 & 6.37100762582893e-08 \tabularnewline
146 & 0.999999930947912 & 1.38104176053408e-07 & 6.90520880267041e-08 \tabularnewline
147 & 0.999999896392436 & 2.07215128677829e-07 & 1.03607564338914e-07 \tabularnewline
148 & 0.99999985143714 & 2.97125720999046e-07 & 1.48562860499523e-07 \tabularnewline
149 & 0.999999823039867 & 3.53920265435037e-07 & 1.76960132717519e-07 \tabularnewline
150 & 0.999999725201235 & 5.49597530654683e-07 & 2.74798765327342e-07 \tabularnewline
151 & 0.999999727390013 & 5.45219974007612e-07 & 2.72609987003806e-07 \tabularnewline
152 & 0.999999695750491 & 6.08499017687184e-07 & 3.04249508843592e-07 \tabularnewline
153 & 0.999999590454506 & 8.19090988092107e-07 & 4.09545494046054e-07 \tabularnewline
154 & 0.99999939327383 & 1.21345234072721e-06 & 6.06726170363607e-07 \tabularnewline
155 & 0.999999209652228 & 1.58069554385508e-06 & 7.90347771927539e-07 \tabularnewline
156 & 0.999999783661805 & 4.32676390272056e-07 & 2.16338195136028e-07 \tabularnewline
157 & 0.999999801081241 & 3.9783751725229e-07 & 1.98918758626145e-07 \tabularnewline
158 & 0.999999784320525 & 4.31358949212482e-07 & 2.15679474606241e-07 \tabularnewline
159 & 0.999999751389888 & 4.97220224598078e-07 & 2.48610112299039e-07 \tabularnewline
160 & 0.999999703796338 & 5.92407324741725e-07 & 2.96203662370862e-07 \tabularnewline
161 & 0.999999732213112 & 5.35573776204542e-07 & 2.67786888102271e-07 \tabularnewline
162 & 0.999999603254122 & 7.93491755603974e-07 & 3.96745877801987e-07 \tabularnewline
163 & 0.999999539894612 & 9.2021077667085e-07 & 4.60105388335425e-07 \tabularnewline
164 & 0.999999408088017 & 1.18382396630782e-06 & 5.91911983153908e-07 \tabularnewline
165 & 0.999999515422778 & 9.6915444426696e-07 & 4.8457722213348e-07 \tabularnewline
166 & 0.999999817334325 & 3.65331349886303e-07 & 1.82665674943152e-07 \tabularnewline
167 & 0.999999720133568 & 5.5973286440632e-07 & 2.7986643220316e-07 \tabularnewline
168 & 0.999999570111424 & 8.59777151883413e-07 & 4.29888575941707e-07 \tabularnewline
169 & 0.99999948620363 & 1.02759273985698e-06 & 5.13796369928491e-07 \tabularnewline
170 & 0.999999997739254 & 4.5214924582143e-09 & 2.26074622910715e-09 \tabularnewline
171 & 0.999999996161522 & 7.67695588165977e-09 & 3.83847794082989e-09 \tabularnewline
172 & 0.999999994451501 & 1.10969975546406e-08 & 5.54849877732028e-09 \tabularnewline
173 & 0.9999999907159 & 1.85682008269092e-08 & 9.28410041345459e-09 \tabularnewline
174 & 0.999999995973943 & 8.05211343926835e-09 & 4.02605671963417e-09 \tabularnewline
175 & 0.999999999886534 & 2.26932573363931e-10 & 1.13466286681965e-10 \tabularnewline
176 & 0.999999999807998 & 3.8400326673971e-10 & 1.92001633369855e-10 \tabularnewline
177 & 0.99999999981802 & 3.63959625950935e-10 & 1.81979812975468e-10 \tabularnewline
178 & 0.999999999696759 & 6.06481364402529e-10 & 3.03240682201264e-10 \tabularnewline
179 & 0.999999999450911 & 1.09817872849036e-09 & 5.49089364245181e-10 \tabularnewline
180 & 0.99999999980091 & 3.9817951211077e-10 & 1.99089756055385e-10 \tabularnewline
181 & 0.999999999767785 & 4.64429833593048e-10 & 2.32214916796524e-10 \tabularnewline
182 & 0.999999999981343 & 3.73135098990981e-11 & 1.86567549495491e-11 \tabularnewline
183 & 0.999999999964964 & 7.00723915223285e-11 & 3.50361957611642e-11 \tabularnewline
184 & 0.999999999962157 & 7.56855202420109e-11 & 3.78427601210054e-11 \tabularnewline
185 & 0.999999999974706 & 5.05874674379942e-11 & 2.52937337189971e-11 \tabularnewline
186 & 0.999999999953747 & 9.25064255047248e-11 & 4.62532127523624e-11 \tabularnewline
187 & 0.999999999917081 & 1.65838456249684e-10 & 8.29192281248419e-11 \tabularnewline
188 & 0.999999999853319 & 2.93362604902081e-10 & 1.4668130245104e-10 \tabularnewline
189 & 0.999999999799098 & 4.01804298133733e-10 & 2.00902149066867e-10 \tabularnewline
190 & 0.999999999641622 & 7.16755020469989e-10 & 3.58377510234995e-10 \tabularnewline
191 & 0.99999999983404 & 3.31919064796572e-10 & 1.65959532398286e-10 \tabularnewline
192 & 0.999999999691509 & 6.16982222988545e-10 & 3.08491111494272e-10 \tabularnewline
193 & 0.999999999516236 & 9.67527318956441e-10 & 4.8376365947822e-10 \tabularnewline
194 & 0.999999999200478 & 1.59904367925499e-09 & 7.99521839627496e-10 \tabularnewline
195 & 0.999999998807166 & 2.38566875750416e-09 & 1.19283437875208e-09 \tabularnewline
196 & 0.999999998144944 & 3.71011275877701e-09 & 1.8550563793885e-09 \tabularnewline
197 & 0.999999997422866 & 5.15426786608815e-09 & 2.57713393304407e-09 \tabularnewline
198 & 0.999999996000134 & 7.9997320372208e-09 & 3.9998660186104e-09 \tabularnewline
199 & 0.999999997043001 & 5.91399868078442e-09 & 2.95699934039221e-09 \tabularnewline
200 & 0.999999994566539 & 1.08669228404653e-08 & 5.43346142023264e-09 \tabularnewline
201 & 0.999999990349522 & 1.93009562349639e-08 & 9.65047811748195e-09 \tabularnewline
202 & 0.999999982666038 & 3.46679250793791e-08 & 1.73339625396896e-08 \tabularnewline
203 & 0.999999976658819 & 4.66823622273513e-08 & 2.33411811136757e-08 \tabularnewline
204 & 0.999999964518638 & 7.09627247086159e-08 & 3.5481362354308e-08 \tabularnewline
205 & 0.99999996047672 & 7.90465605318252e-08 & 3.95232802659126e-08 \tabularnewline
206 & 0.999999939081074 & 1.21837851599772e-07 & 6.09189257998861e-08 \tabularnewline
207 & 0.999999894217143 & 2.11565713294278e-07 & 1.05782856647139e-07 \tabularnewline
208 & 0.999999986620763 & 2.67584740122428e-08 & 1.33792370061214e-08 \tabularnewline
209 & 0.999999990689945 & 1.86201108794268e-08 & 9.31005543971339e-09 \tabularnewline
210 & 0.999999987228565 & 2.55428693106635e-08 & 1.27714346553317e-08 \tabularnewline
211 & 0.999999982529492 & 3.49410151763398e-08 & 1.74705075881699e-08 \tabularnewline
212 & 0.999999992709253 & 1.45814930846861e-08 & 7.29074654234306e-09 \tabularnewline
213 & 0.999999986199414 & 2.76011717403208e-08 & 1.38005858701604e-08 \tabularnewline
214 & 0.999999975608875 & 4.8782250408874e-08 & 2.4391125204437e-08 \tabularnewline
215 & 0.99999997642102 & 4.71579596971139e-08 & 2.35789798485569e-08 \tabularnewline
216 & 0.999999961549453 & 7.69010933314783e-08 & 3.84505466657391e-08 \tabularnewline
217 & 0.999999973392792 & 5.32144157562621e-08 & 2.6607207878131e-08 \tabularnewline
218 & 0.999999950565238 & 9.88695246158843e-08 & 4.94347623079421e-08 \tabularnewline
219 & 0.999999913241382 & 1.7351723535555e-07 & 8.67586176777752e-08 \tabularnewline
220 & 0.999999933305132 & 1.33389736365389e-07 & 6.66948681826944e-08 \tabularnewline
221 & 0.999999885526286 & 2.28947428253442e-07 & 1.14473714126721e-07 \tabularnewline
222 & 0.999999819761966 & 3.60476068825883e-07 & 1.80238034412941e-07 \tabularnewline
223 & 0.999999938372648 & 1.23254703327578e-07 & 6.16273516637888e-08 \tabularnewline
224 & 0.999999904203111 & 1.91593778720452e-07 & 9.57968893602261e-08 \tabularnewline
225 & 0.999999821151823 & 3.57696354495185e-07 & 1.78848177247593e-07 \tabularnewline
226 & 0.999999670241705 & 6.59516590036224e-07 & 3.29758295018112e-07 \tabularnewline
227 & 0.999999501376709 & 9.97246581959733e-07 & 4.98623290979867e-07 \tabularnewline
228 & 0.999999397591878 & 1.20481624336012e-06 & 6.02408121680059e-07 \tabularnewline
229 & 0.999999513563497 & 9.72873005425801e-07 & 4.864365027129e-07 \tabularnewline
230 & 0.999999620309602 & 7.59380795808934e-07 & 3.79690397904467e-07 \tabularnewline
231 & 0.99999948170437 & 1.03659125954076e-06 & 5.18295629770378e-07 \tabularnewline
232 & 0.999999022360567 & 1.95527886665601e-06 & 9.77639433328006e-07 \tabularnewline
233 & 0.999999417176234 & 1.16564753251327e-06 & 5.82823766256636e-07 \tabularnewline
234 & 0.999999033817783 & 1.93236443416552e-06 & 9.66182217082758e-07 \tabularnewline
235 & 0.999999564453262 & 8.71093475678441e-07 & 4.35546737839221e-07 \tabularnewline
236 & 0.999999277418962 & 1.44516207503876e-06 & 7.22581037519379e-07 \tabularnewline
237 & 0.999999994293304 & 1.14133913501191e-08 & 5.70669567505954e-09 \tabularnewline
238 & 0.999999990819292 & 1.83614159178558e-08 & 9.1807079589279e-09 \tabularnewline
239 & 0.999999988827379 & 2.23452424150398e-08 & 1.11726212075199e-08 \tabularnewline
240 & 0.999999992447333 & 1.5105334632163e-08 & 7.55266731608149e-09 \tabularnewline
241 & 0.999999986424547 & 2.71509055498822e-08 & 1.35754527749411e-08 \tabularnewline
242 & 0.99999997506965 & 4.98606999761918e-08 & 2.49303499880959e-08 \tabularnewline
243 & 0.99999997345886 & 5.30822802676487e-08 & 2.65411401338244e-08 \tabularnewline
244 & 0.999999942681408 & 1.14637184966074e-07 & 5.73185924830372e-08 \tabularnewline
245 & 0.999999875215739 & 2.49568522549034e-07 & 1.24784261274517e-07 \tabularnewline
246 & 0.999999722957171 & 5.54085658362525e-07 & 2.77042829181263e-07 \tabularnewline
247 & 0.999999629322331 & 7.41355338354091e-07 & 3.70677669177046e-07 \tabularnewline
248 & 0.999999661493597 & 6.77012806389341e-07 & 3.3850640319467e-07 \tabularnewline
249 & 0.999999270528227 & 1.45894354581636e-06 & 7.29471772908178e-07 \tabularnewline
250 & 0.999998921304176 & 2.15739164777886e-06 & 1.07869582388943e-06 \tabularnewline
251 & 0.999998661757027 & 2.67648594563826e-06 & 1.33824297281913e-06 \tabularnewline
252 & 0.999997362726829 & 5.27454634275807e-06 & 2.63727317137904e-06 \tabularnewline
253 & 0.999994295757715 & 1.1408484568948e-05 & 5.70424228447402e-06 \tabularnewline
254 & 0.999988261237965 & 2.34775240703039e-05 & 1.1738762035152e-05 \tabularnewline
255 & 0.999983174747482 & 3.36505050368381e-05 & 1.68252525184191e-05 \tabularnewline
256 & 0.999968567191607 & 6.28656167869014e-05 & 3.14328083934507e-05 \tabularnewline
257 & 0.9999704982083 & 5.90035833995882e-05 & 2.95017916997941e-05 \tabularnewline
258 & 0.99994497095523 & 0.000110058089540062 & 5.50290447700308e-05 \tabularnewline
259 & 0.999907003608401 & 0.000185992783197391 & 9.29963915986955e-05 \tabularnewline
260 & 0.999806555134292 & 0.000386889731415433 & 0.000193444865707717 \tabularnewline
261 & 0.999855554877261 & 0.000288890245477264 & 0.000144445122738632 \tabularnewline
262 & 0.999716222156739 & 0.000567555686521035 & 0.000283777843260517 \tabularnewline
263 & 0.999415496749994 & 0.00116900650001285 & 0.000584503250006426 \tabularnewline
264 & 0.999151626884092 & 0.00169674623181518 & 0.000848373115907589 \tabularnewline
265 & 0.998761454871137 & 0.00247709025772522 & 0.00123854512886261 \tabularnewline
266 & 0.997549198549439 & 0.00490160290112195 & 0.00245080145056097 \tabularnewline
267 & 0.997610462123125 & 0.00477907575374978 & 0.00238953787687489 \tabularnewline
268 & 0.996916698206417 & 0.0061666035871667 & 0.00308330179358335 \tabularnewline
269 & 0.999970346516937 & 5.9306966126364e-05 & 2.9653483063182e-05 \tabularnewline
270 & 0.999995400352819 & 9.19929436106454e-06 & 4.59964718053227e-06 \tabularnewline
271 & 0.999988760269696 & 2.2479460608727e-05 & 1.12397303043635e-05 \tabularnewline
272 & 0.99995530541505 & 8.9389169899214e-05 & 4.4694584949607e-05 \tabularnewline
273 & 0.999962010765716 & 7.59784685684144e-05 & 3.79892342842072e-05 \tabularnewline
274 & 0.999839328152749 & 0.000321343694502355 & 0.000160671847251178 \tabularnewline
275 & 0.999599173420796 & 0.000801653158407578 & 0.000400826579203789 \tabularnewline
276 & 0.998682159047943 & 0.00263568190411406 & 0.00131784095205703 \tabularnewline
277 & 0.997140996913183 & 0.00571800617363477 & 0.00285900308681739 \tabularnewline
278 & 0.988237579447006 & 0.0235248411059876 & 0.0117624205529938 \tabularnewline
279 & 0.956112475623848 & 0.0877750487523048 & 0.0438875243761524 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198443&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]10[/C][C]0.951187096245739[/C][C]0.0976258075085219[/C][C]0.0488129037542609[/C][/ROW]
[ROW][C]11[/C][C]0.906552374488784[/C][C]0.186895251022431[/C][C]0.0934476255112156[/C][/ROW]
[ROW][C]12[/C][C]0.899481723013969[/C][C]0.201036553972063[/C][C]0.100518276986031[/C][/ROW]
[ROW][C]13[/C][C]0.930416810367506[/C][C]0.139166379264988[/C][C]0.069583189632494[/C][/ROW]
[ROW][C]14[/C][C]0.893301328082502[/C][C]0.213397343834995[/C][C]0.106698671917498[/C][/ROW]
[ROW][C]15[/C][C]0.854364994988055[/C][C]0.29127001002389[/C][C]0.145635005011945[/C][/ROW]
[ROW][C]16[/C][C]0.797001344565665[/C][C]0.405997310868671[/C][C]0.202998655434335[/C][/ROW]
[ROW][C]17[/C][C]0.851102094642975[/C][C]0.297795810714051[/C][C]0.148897905357025[/C][/ROW]
[ROW][C]18[/C][C]0.80580200840504[/C][C]0.388395983189919[/C][C]0.19419799159496[/C][/ROW]
[ROW][C]19[/C][C]0.787149627422971[/C][C]0.425700745154058[/C][C]0.212850372577029[/C][/ROW]
[ROW][C]20[/C][C]0.854197431237633[/C][C]0.291605137524734[/C][C]0.145802568762367[/C][/ROW]
[ROW][C]21[/C][C]0.821770278140617[/C][C]0.356459443718766[/C][C]0.178229721859383[/C][/ROW]
[ROW][C]22[/C][C]0.777908650087265[/C][C]0.444182699825471[/C][C]0.222091349912735[/C][/ROW]
[ROW][C]23[/C][C]0.993122143232709[/C][C]0.0137557135345819[/C][C]0.00687785676729095[/C][/ROW]
[ROW][C]24[/C][C]0.99096726521436[/C][C]0.0180654695712803[/C][C]0.00903273478564013[/C][/ROW]
[ROW][C]25[/C][C]0.991209779220467[/C][C]0.0175804415590654[/C][C]0.00879022077953272[/C][/ROW]
[ROW][C]26[/C][C]0.998189664028586[/C][C]0.00362067194282761[/C][C]0.00181033597141381[/C][/ROW]
[ROW][C]27[/C][C]0.998969577422561[/C][C]0.00206084515487889[/C][C]0.00103042257743945[/C][/ROW]
[ROW][C]28[/C][C]0.998397372472974[/C][C]0.0032052550540517[/C][C]0.00160262752702585[/C][/ROW]
[ROW][C]29[/C][C]0.99832984572713[/C][C]0.00334030854574041[/C][C]0.00167015427287021[/C][/ROW]
[ROW][C]30[/C][C]0.998295208874701[/C][C]0.00340958225059782[/C][C]0.00170479112529891[/C][/ROW]
[ROW][C]31[/C][C]0.998050938099934[/C][C]0.00389812380013185[/C][C]0.00194906190006592[/C][/ROW]
[ROW][C]32[/C][C]0.997122116702949[/C][C]0.00575576659410125[/C][C]0.00287788329705063[/C][/ROW]
[ROW][C]33[/C][C]0.995901619639143[/C][C]0.00819676072171317[/C][C]0.00409838036085659[/C][/ROW]
[ROW][C]34[/C][C]0.995646197031591[/C][C]0.00870760593681892[/C][C]0.00435380296840946[/C][/ROW]
[ROW][C]35[/C][C]0.995990832755235[/C][C]0.00801833448952899[/C][C]0.00400916724476449[/C][/ROW]
[ROW][C]36[/C][C]0.994964563115343[/C][C]0.0100708737693143[/C][C]0.00503543688465714[/C][/ROW]
[ROW][C]37[/C][C]0.993392985422861[/C][C]0.0132140291542787[/C][C]0.00660701457713935[/C][/ROW]
[ROW][C]38[/C][C]0.990974937671144[/C][C]0.0180501246577123[/C][C]0.00902506232885613[/C][/ROW]
[ROW][C]39[/C][C]0.997618285894653[/C][C]0.00476342821069338[/C][C]0.00238171410534669[/C][/ROW]
[ROW][C]40[/C][C]0.997940879357561[/C][C]0.00411824128487791[/C][C]0.00205912064243895[/C][/ROW]
[ROW][C]41[/C][C]0.997125851194635[/C][C]0.00574829761073084[/C][C]0.00287414880536542[/C][/ROW]
[ROW][C]42[/C][C]0.996367152504864[/C][C]0.00726569499027287[/C][C]0.00363284749513643[/C][/ROW]
[ROW][C]43[/C][C]0.995292978231281[/C][C]0.0094140435374374[/C][C]0.0047070217687187[/C][/ROW]
[ROW][C]44[/C][C]0.993422360793883[/C][C]0.0131552784122333[/C][C]0.00657763920611666[/C][/ROW]
[ROW][C]45[/C][C]0.994621497956465[/C][C]0.0107570040870706[/C][C]0.00537850204353532[/C][/ROW]
[ROW][C]46[/C][C]0.992899928227882[/C][C]0.0142001435442354[/C][C]0.0071000717721177[/C][/ROW]
[ROW][C]47[/C][C]0.991944198301892[/C][C]0.0161116033962168[/C][C]0.00805580169810839[/C][/ROW]
[ROW][C]48[/C][C]0.989219103823649[/C][C]0.0215617923527013[/C][C]0.0107808961763506[/C][/ROW]
[ROW][C]49[/C][C]0.985803963502417[/C][C]0.0283920729951661[/C][C]0.0141960364975831[/C][/ROW]
[ROW][C]50[/C][C]0.999439781587826[/C][C]0.00112043682434846[/C][C]0.00056021841217423[/C][/ROW]
[ROW][C]51[/C][C]0.999951326225584[/C][C]9.73475488322126e-05[/C][C]4.86737744161063e-05[/C][/ROW]
[ROW][C]52[/C][C]0.999935187658825[/C][C]0.000129624682349011[/C][C]6.48123411745057e-05[/C][/ROW]
[ROW][C]53[/C][C]0.999908802165083[/C][C]0.000182395669832963[/C][C]9.11978349164817e-05[/C][/ROW]
[ROW][C]54[/C][C]0.999889160904547[/C][C]0.000221678190905077[/C][C]0.000110839095452539[/C][/ROW]
[ROW][C]55[/C][C]0.999960418141402[/C][C]7.91637171957731e-05[/C][C]3.95818585978866e-05[/C][/ROW]
[ROW][C]56[/C][C]0.999940920897728[/C][C]0.000118158204543671[/C][C]5.90791022718357e-05[/C][/ROW]
[ROW][C]57[/C][C]0.999933580737437[/C][C]0.000132838525126213[/C][C]6.64192625631063e-05[/C][/ROW]
[ROW][C]58[/C][C]0.999975671011821[/C][C]4.86579763582214e-05[/C][C]2.43289881791107e-05[/C][/ROW]
[ROW][C]59[/C][C]0.999962996554743[/C][C]7.40068905147681e-05[/C][C]3.7003445257384e-05[/C][/ROW]
[ROW][C]60[/C][C]0.999948434336311[/C][C]0.000103131327378481[/C][C]5.15656636892403e-05[/C][/ROW]
[ROW][C]61[/C][C]0.999929278738351[/C][C]0.00014144252329748[/C][C]7.07212616487399e-05[/C][/ROW]
[ROW][C]62[/C][C]0.999935343350902[/C][C]0.000129313298196894[/C][C]6.46566490984472e-05[/C][/ROW]
[ROW][C]63[/C][C]0.999939204460538[/C][C]0.000121591078924101[/C][C]6.07955394620507e-05[/C][/ROW]
[ROW][C]64[/C][C]0.999911339337642[/C][C]0.000177321324716661[/C][C]8.86606623583305e-05[/C][/ROW]
[ROW][C]65[/C][C]0.999884583472112[/C][C]0.000230833055775125[/C][C]0.000115416527887563[/C][/ROW]
[ROW][C]66[/C][C]0.999834108901181[/C][C]0.000331782197637495[/C][C]0.000165891098818748[/C][/ROW]
[ROW][C]67[/C][C]0.999793937283112[/C][C]0.000412125433775374[/C][C]0.000206062716887687[/C][/ROW]
[ROW][C]68[/C][C]0.999709066839918[/C][C]0.000581866320164763[/C][C]0.000290933160082381[/C][/ROW]
[ROW][C]69[/C][C]0.999619330584993[/C][C]0.000761338830013517[/C][C]0.000380669415006759[/C][/ROW]
[ROW][C]70[/C][C]0.999685637385218[/C][C]0.000628725229563308[/C][C]0.000314362614781654[/C][/ROW]
[ROW][C]71[/C][C]0.999629133124776[/C][C]0.00074173375044725[/C][C]0.000370866875223625[/C][/ROW]
[ROW][C]72[/C][C]0.999833446533859[/C][C]0.000333106932282736[/C][C]0.000166553466141368[/C][/ROW]
[ROW][C]73[/C][C]0.999851787270944[/C][C]0.000296425458111899[/C][C]0.000148212729055949[/C][/ROW]
[ROW][C]74[/C][C]0.999839997247848[/C][C]0.000320005504304796[/C][C]0.000160002752152398[/C][/ROW]
[ROW][C]75[/C][C]0.999854405145359[/C][C]0.000291189709281797[/C][C]0.000145594854640899[/C][/ROW]
[ROW][C]76[/C][C]0.999847712893648[/C][C]0.000304574212704193[/C][C]0.000152287106352096[/C][/ROW]
[ROW][C]77[/C][C]0.999932744828801[/C][C]0.000134510342398897[/C][C]6.72551711994485e-05[/C][/ROW]
[ROW][C]78[/C][C]0.999908303103659[/C][C]0.000183393792681424[/C][C]9.16968963407121e-05[/C][/ROW]
[ROW][C]79[/C][C]0.999899940995554[/C][C]0.000200118008891433[/C][C]0.000100059004445717[/C][/ROW]
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[ROW][C]81[/C][C]0.999808151909864[/C][C]0.00038369618027103[/C][C]0.000191848090135515[/C][/ROW]
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[ROW][C]92[/C][C]0.999878965050542[/C][C]0.000242069898916891[/C][C]0.000121034949458445[/C][/ROW]
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[ROW][C]99[/C][C]0.999999681756563[/C][C]6.36486874181308e-07[/C][C]3.18243437090654e-07[/C][/ROW]
[ROW][C]100[/C][C]0.999999538315307[/C][C]9.23369385777636e-07[/C][C]4.61684692888818e-07[/C][/ROW]
[ROW][C]101[/C][C]0.999999361747738[/C][C]1.27650452365803e-06[/C][C]6.38252261829017e-07[/C][/ROW]
[ROW][C]102[/C][C]0.99999920253623[/C][C]1.59492754018386e-06[/C][C]7.97463770091932e-07[/C][/ROW]
[ROW][C]103[/C][C]0.999999678511079[/C][C]6.42977841316869e-07[/C][C]3.21488920658434e-07[/C][/ROW]
[ROW][C]104[/C][C]0.999999567544519[/C][C]8.64910961190088e-07[/C][C]4.32455480595044e-07[/C][/ROW]
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[ROW][C]106[/C][C]0.999999493337158[/C][C]1.01332568423572e-06[/C][C]5.06662842117858e-07[/C][/ROW]
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[ROW][C]108[/C][C]0.999999175208924[/C][C]1.64958215229058e-06[/C][C]8.24791076145289e-07[/C][/ROW]
[ROW][C]109[/C][C]0.999999063253045[/C][C]1.87349390960793e-06[/C][C]9.36746954803966e-07[/C][/ROW]
[ROW][C]110[/C][C]0.999998571772918[/C][C]2.85645416437836e-06[/C][C]1.42822708218918e-06[/C][/ROW]
[ROW][C]111[/C][C]0.999998080434172[/C][C]3.83913165565294e-06[/C][C]1.91956582782647e-06[/C][/ROW]
[ROW][C]112[/C][C]0.999997969429347[/C][C]4.06114130568099e-06[/C][C]2.0305706528405e-06[/C][/ROW]
[ROW][C]113[/C][C]0.999997279921519[/C][C]5.44015696132654e-06[/C][C]2.72007848066327e-06[/C][/ROW]
[ROW][C]114[/C][C]0.999996013513092[/C][C]7.97297381526173e-06[/C][C]3.98648690763087e-06[/C][/ROW]
[ROW][C]115[/C][C]0.999996377934043[/C][C]7.24413191445295e-06[/C][C]3.62206595722648e-06[/C][/ROW]
[ROW][C]116[/C][C]0.999996794579103[/C][C]6.41084179433796e-06[/C][C]3.20542089716898e-06[/C][/ROW]
[ROW][C]117[/C][C]0.999996400774527[/C][C]7.19845094636155e-06[/C][C]3.59922547318077e-06[/C][/ROW]
[ROW][C]118[/C][C]0.999998653732408[/C][C]2.69253518396605e-06[/C][C]1.34626759198303e-06[/C][/ROW]
[ROW][C]119[/C][C]0.999997971223834[/C][C]4.05755233283688e-06[/C][C]2.02877616641844e-06[/C][/ROW]
[ROW][C]120[/C][C]0.999998061908588[/C][C]3.87618282440433e-06[/C][C]1.93809141220216e-06[/C][/ROW]
[ROW][C]121[/C][C]0.999997115077758[/C][C]5.76984448330194e-06[/C][C]2.88492224165097e-06[/C][/ROW]
[ROW][C]122[/C][C]0.999998964500586[/C][C]2.07099882893032e-06[/C][C]1.03549941446516e-06[/C][/ROW]
[ROW][C]123[/C][C]0.999998744251407[/C][C]2.51149718605898e-06[/C][C]1.25574859302949e-06[/C][/ROW]
[ROW][C]124[/C][C]0.999999643279241[/C][C]7.13441518032788e-07[/C][C]3.56720759016394e-07[/C][/ROW]
[ROW][C]125[/C][C]0.999999987582414[/C][C]2.48351728415109e-08[/C][C]1.24175864207555e-08[/C][/ROW]
[ROW][C]126[/C][C]0.999999985148508[/C][C]2.97029850543016e-08[/C][C]1.48514925271508e-08[/C][/ROW]
[ROW][C]127[/C][C]0.999999978332736[/C][C]4.33345283721939e-08[/C][C]2.1667264186097e-08[/C][/ROW]
[ROW][C]128[/C][C]0.999999965840164[/C][C]6.83196720451724e-08[/C][C]3.41598360225862e-08[/C][/ROW]
[ROW][C]129[/C][C]0.999999952323037[/C][C]9.53539254669764e-08[/C][C]4.76769627334882e-08[/C][/ROW]
[ROW][C]130[/C][C]0.99999992383995[/C][C]1.52320099235352e-07[/C][C]7.61600496176761e-08[/C][/ROW]
[ROW][C]131[/C][C]0.999999880572599[/C][C]2.38854802140181e-07[/C][C]1.19427401070091e-07[/C][/ROW]
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[ROW][C]134[/C][C]0.99999998551318[/C][C]2.89736404926755e-08[/C][C]1.44868202463378e-08[/C][/ROW]
[ROW][C]135[/C][C]0.999999979510217[/C][C]4.09795649645401e-08[/C][C]2.048978248227e-08[/C][/ROW]
[ROW][C]136[/C][C]0.99999999232357[/C][C]1.53528592492207e-08[/C][C]7.67642962461033e-09[/C][/ROW]
[ROW][C]137[/C][C]0.999999987368655[/C][C]2.52626905994402e-08[/C][C]1.26313452997201e-08[/C][/ROW]
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[ROW][C]154[/C][C]0.99999939327383[/C][C]1.21345234072721e-06[/C][C]6.06726170363607e-07[/C][/ROW]
[ROW][C]155[/C][C]0.999999209652228[/C][C]1.58069554385508e-06[/C][C]7.90347771927539e-07[/C][/ROW]
[ROW][C]156[/C][C]0.999999783661805[/C][C]4.32676390272056e-07[/C][C]2.16338195136028e-07[/C][/ROW]
[ROW][C]157[/C][C]0.999999801081241[/C][C]3.9783751725229e-07[/C][C]1.98918758626145e-07[/C][/ROW]
[ROW][C]158[/C][C]0.999999784320525[/C][C]4.31358949212482e-07[/C][C]2.15679474606241e-07[/C][/ROW]
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[ROW][C]166[/C][C]0.999999817334325[/C][C]3.65331349886303e-07[/C][C]1.82665674943152e-07[/C][/ROW]
[ROW][C]167[/C][C]0.999999720133568[/C][C]5.5973286440632e-07[/C][C]2.7986643220316e-07[/C][/ROW]
[ROW][C]168[/C][C]0.999999570111424[/C][C]8.59777151883413e-07[/C][C]4.29888575941707e-07[/C][/ROW]
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[ROW][C]172[/C][C]0.999999994451501[/C][C]1.10969975546406e-08[/C][C]5.54849877732028e-09[/C][/ROW]
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[ROW][C]186[/C][C]0.999999999953747[/C][C]9.25064255047248e-11[/C][C]4.62532127523624e-11[/C][/ROW]
[ROW][C]187[/C][C]0.999999999917081[/C][C]1.65838456249684e-10[/C][C]8.29192281248419e-11[/C][/ROW]
[ROW][C]188[/C][C]0.999999999853319[/C][C]2.93362604902081e-10[/C][C]1.4668130245104e-10[/C][/ROW]
[ROW][C]189[/C][C]0.999999999799098[/C][C]4.01804298133733e-10[/C][C]2.00902149066867e-10[/C][/ROW]
[ROW][C]190[/C][C]0.999999999641622[/C][C]7.16755020469989e-10[/C][C]3.58377510234995e-10[/C][/ROW]
[ROW][C]191[/C][C]0.99999999983404[/C][C]3.31919064796572e-10[/C][C]1.65959532398286e-10[/C][/ROW]
[ROW][C]192[/C][C]0.999999999691509[/C][C]6.16982222988545e-10[/C][C]3.08491111494272e-10[/C][/ROW]
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[ROW][C]194[/C][C]0.999999999200478[/C][C]1.59904367925499e-09[/C][C]7.99521839627496e-10[/C][/ROW]
[ROW][C]195[/C][C]0.999999998807166[/C][C]2.38566875750416e-09[/C][C]1.19283437875208e-09[/C][/ROW]
[ROW][C]196[/C][C]0.999999998144944[/C][C]3.71011275877701e-09[/C][C]1.8550563793885e-09[/C][/ROW]
[ROW][C]197[/C][C]0.999999997422866[/C][C]5.15426786608815e-09[/C][C]2.57713393304407e-09[/C][/ROW]
[ROW][C]198[/C][C]0.999999996000134[/C][C]7.9997320372208e-09[/C][C]3.9998660186104e-09[/C][/ROW]
[ROW][C]199[/C][C]0.999999997043001[/C][C]5.91399868078442e-09[/C][C]2.95699934039221e-09[/C][/ROW]
[ROW][C]200[/C][C]0.999999994566539[/C][C]1.08669228404653e-08[/C][C]5.43346142023264e-09[/C][/ROW]
[ROW][C]201[/C][C]0.999999990349522[/C][C]1.93009562349639e-08[/C][C]9.65047811748195e-09[/C][/ROW]
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[ROW][C]203[/C][C]0.999999976658819[/C][C]4.66823622273513e-08[/C][C]2.33411811136757e-08[/C][/ROW]
[ROW][C]204[/C][C]0.999999964518638[/C][C]7.09627247086159e-08[/C][C]3.5481362354308e-08[/C][/ROW]
[ROW][C]205[/C][C]0.99999996047672[/C][C]7.90465605318252e-08[/C][C]3.95232802659126e-08[/C][/ROW]
[ROW][C]206[/C][C]0.999999939081074[/C][C]1.21837851599772e-07[/C][C]6.09189257998861e-08[/C][/ROW]
[ROW][C]207[/C][C]0.999999894217143[/C][C]2.11565713294278e-07[/C][C]1.05782856647139e-07[/C][/ROW]
[ROW][C]208[/C][C]0.999999986620763[/C][C]2.67584740122428e-08[/C][C]1.33792370061214e-08[/C][/ROW]
[ROW][C]209[/C][C]0.999999990689945[/C][C]1.86201108794268e-08[/C][C]9.31005543971339e-09[/C][/ROW]
[ROW][C]210[/C][C]0.999999987228565[/C][C]2.55428693106635e-08[/C][C]1.27714346553317e-08[/C][/ROW]
[ROW][C]211[/C][C]0.999999982529492[/C][C]3.49410151763398e-08[/C][C]1.74705075881699e-08[/C][/ROW]
[ROW][C]212[/C][C]0.999999992709253[/C][C]1.45814930846861e-08[/C][C]7.29074654234306e-09[/C][/ROW]
[ROW][C]213[/C][C]0.999999986199414[/C][C]2.76011717403208e-08[/C][C]1.38005858701604e-08[/C][/ROW]
[ROW][C]214[/C][C]0.999999975608875[/C][C]4.8782250408874e-08[/C][C]2.4391125204437e-08[/C][/ROW]
[ROW][C]215[/C][C]0.99999997642102[/C][C]4.71579596971139e-08[/C][C]2.35789798485569e-08[/C][/ROW]
[ROW][C]216[/C][C]0.999999961549453[/C][C]7.69010933314783e-08[/C][C]3.84505466657391e-08[/C][/ROW]
[ROW][C]217[/C][C]0.999999973392792[/C][C]5.32144157562621e-08[/C][C]2.6607207878131e-08[/C][/ROW]
[ROW][C]218[/C][C]0.999999950565238[/C][C]9.88695246158843e-08[/C][C]4.94347623079421e-08[/C][/ROW]
[ROW][C]219[/C][C]0.999999913241382[/C][C]1.7351723535555e-07[/C][C]8.67586176777752e-08[/C][/ROW]
[ROW][C]220[/C][C]0.999999933305132[/C][C]1.33389736365389e-07[/C][C]6.66948681826944e-08[/C][/ROW]
[ROW][C]221[/C][C]0.999999885526286[/C][C]2.28947428253442e-07[/C][C]1.14473714126721e-07[/C][/ROW]
[ROW][C]222[/C][C]0.999999819761966[/C][C]3.60476068825883e-07[/C][C]1.80238034412941e-07[/C][/ROW]
[ROW][C]223[/C][C]0.999999938372648[/C][C]1.23254703327578e-07[/C][C]6.16273516637888e-08[/C][/ROW]
[ROW][C]224[/C][C]0.999999904203111[/C][C]1.91593778720452e-07[/C][C]9.57968893602261e-08[/C][/ROW]
[ROW][C]225[/C][C]0.999999821151823[/C][C]3.57696354495185e-07[/C][C]1.78848177247593e-07[/C][/ROW]
[ROW][C]226[/C][C]0.999999670241705[/C][C]6.59516590036224e-07[/C][C]3.29758295018112e-07[/C][/ROW]
[ROW][C]227[/C][C]0.999999501376709[/C][C]9.97246581959733e-07[/C][C]4.98623290979867e-07[/C][/ROW]
[ROW][C]228[/C][C]0.999999397591878[/C][C]1.20481624336012e-06[/C][C]6.02408121680059e-07[/C][/ROW]
[ROW][C]229[/C][C]0.999999513563497[/C][C]9.72873005425801e-07[/C][C]4.864365027129e-07[/C][/ROW]
[ROW][C]230[/C][C]0.999999620309602[/C][C]7.59380795808934e-07[/C][C]3.79690397904467e-07[/C][/ROW]
[ROW][C]231[/C][C]0.99999948170437[/C][C]1.03659125954076e-06[/C][C]5.18295629770378e-07[/C][/ROW]
[ROW][C]232[/C][C]0.999999022360567[/C][C]1.95527886665601e-06[/C][C]9.77639433328006e-07[/C][/ROW]
[ROW][C]233[/C][C]0.999999417176234[/C][C]1.16564753251327e-06[/C][C]5.82823766256636e-07[/C][/ROW]
[ROW][C]234[/C][C]0.999999033817783[/C][C]1.93236443416552e-06[/C][C]9.66182217082758e-07[/C][/ROW]
[ROW][C]235[/C][C]0.999999564453262[/C][C]8.71093475678441e-07[/C][C]4.35546737839221e-07[/C][/ROW]
[ROW][C]236[/C][C]0.999999277418962[/C][C]1.44516207503876e-06[/C][C]7.22581037519379e-07[/C][/ROW]
[ROW][C]237[/C][C]0.999999994293304[/C][C]1.14133913501191e-08[/C][C]5.70669567505954e-09[/C][/ROW]
[ROW][C]238[/C][C]0.999999990819292[/C][C]1.83614159178558e-08[/C][C]9.1807079589279e-09[/C][/ROW]
[ROW][C]239[/C][C]0.999999988827379[/C][C]2.23452424150398e-08[/C][C]1.11726212075199e-08[/C][/ROW]
[ROW][C]240[/C][C]0.999999992447333[/C][C]1.5105334632163e-08[/C][C]7.55266731608149e-09[/C][/ROW]
[ROW][C]241[/C][C]0.999999986424547[/C][C]2.71509055498822e-08[/C][C]1.35754527749411e-08[/C][/ROW]
[ROW][C]242[/C][C]0.99999997506965[/C][C]4.98606999761918e-08[/C][C]2.49303499880959e-08[/C][/ROW]
[ROW][C]243[/C][C]0.99999997345886[/C][C]5.30822802676487e-08[/C][C]2.65411401338244e-08[/C][/ROW]
[ROW][C]244[/C][C]0.999999942681408[/C][C]1.14637184966074e-07[/C][C]5.73185924830372e-08[/C][/ROW]
[ROW][C]245[/C][C]0.999999875215739[/C][C]2.49568522549034e-07[/C][C]1.24784261274517e-07[/C][/ROW]
[ROW][C]246[/C][C]0.999999722957171[/C][C]5.54085658362525e-07[/C][C]2.77042829181263e-07[/C][/ROW]
[ROW][C]247[/C][C]0.999999629322331[/C][C]7.41355338354091e-07[/C][C]3.70677669177046e-07[/C][/ROW]
[ROW][C]248[/C][C]0.999999661493597[/C][C]6.77012806389341e-07[/C][C]3.3850640319467e-07[/C][/ROW]
[ROW][C]249[/C][C]0.999999270528227[/C][C]1.45894354581636e-06[/C][C]7.29471772908178e-07[/C][/ROW]
[ROW][C]250[/C][C]0.999998921304176[/C][C]2.15739164777886e-06[/C][C]1.07869582388943e-06[/C][/ROW]
[ROW][C]251[/C][C]0.999998661757027[/C][C]2.67648594563826e-06[/C][C]1.33824297281913e-06[/C][/ROW]
[ROW][C]252[/C][C]0.999997362726829[/C][C]5.27454634275807e-06[/C][C]2.63727317137904e-06[/C][/ROW]
[ROW][C]253[/C][C]0.999994295757715[/C][C]1.1408484568948e-05[/C][C]5.70424228447402e-06[/C][/ROW]
[ROW][C]254[/C][C]0.999988261237965[/C][C]2.34775240703039e-05[/C][C]1.1738762035152e-05[/C][/ROW]
[ROW][C]255[/C][C]0.999983174747482[/C][C]3.36505050368381e-05[/C][C]1.68252525184191e-05[/C][/ROW]
[ROW][C]256[/C][C]0.999968567191607[/C][C]6.28656167869014e-05[/C][C]3.14328083934507e-05[/C][/ROW]
[ROW][C]257[/C][C]0.9999704982083[/C][C]5.90035833995882e-05[/C][C]2.95017916997941e-05[/C][/ROW]
[ROW][C]258[/C][C]0.99994497095523[/C][C]0.000110058089540062[/C][C]5.50290447700308e-05[/C][/ROW]
[ROW][C]259[/C][C]0.999907003608401[/C][C]0.000185992783197391[/C][C]9.29963915986955e-05[/C][/ROW]
[ROW][C]260[/C][C]0.999806555134292[/C][C]0.000386889731415433[/C][C]0.000193444865707717[/C][/ROW]
[ROW][C]261[/C][C]0.999855554877261[/C][C]0.000288890245477264[/C][C]0.000144445122738632[/C][/ROW]
[ROW][C]262[/C][C]0.999716222156739[/C][C]0.000567555686521035[/C][C]0.000283777843260517[/C][/ROW]
[ROW][C]263[/C][C]0.999415496749994[/C][C]0.00116900650001285[/C][C]0.000584503250006426[/C][/ROW]
[ROW][C]264[/C][C]0.999151626884092[/C][C]0.00169674623181518[/C][C]0.000848373115907589[/C][/ROW]
[ROW][C]265[/C][C]0.998761454871137[/C][C]0.00247709025772522[/C][C]0.00123854512886261[/C][/ROW]
[ROW][C]266[/C][C]0.997549198549439[/C][C]0.00490160290112195[/C][C]0.00245080145056097[/C][/ROW]
[ROW][C]267[/C][C]0.997610462123125[/C][C]0.00477907575374978[/C][C]0.00238953787687489[/C][/ROW]
[ROW][C]268[/C][C]0.996916698206417[/C][C]0.0061666035871667[/C][C]0.00308330179358335[/C][/ROW]
[ROW][C]269[/C][C]0.999970346516937[/C][C]5.9306966126364e-05[/C][C]2.9653483063182e-05[/C][/ROW]
[ROW][C]270[/C][C]0.999995400352819[/C][C]9.19929436106454e-06[/C][C]4.59964718053227e-06[/C][/ROW]
[ROW][C]271[/C][C]0.999988760269696[/C][C]2.2479460608727e-05[/C][C]1.12397303043635e-05[/C][/ROW]
[ROW][C]272[/C][C]0.99995530541505[/C][C]8.9389169899214e-05[/C][C]4.4694584949607e-05[/C][/ROW]
[ROW][C]273[/C][C]0.999962010765716[/C][C]7.59784685684144e-05[/C][C]3.79892342842072e-05[/C][/ROW]
[ROW][C]274[/C][C]0.999839328152749[/C][C]0.000321343694502355[/C][C]0.000160671847251178[/C][/ROW]
[ROW][C]275[/C][C]0.999599173420796[/C][C]0.000801653158407578[/C][C]0.000400826579203789[/C][/ROW]
[ROW][C]276[/C][C]0.998682159047943[/C][C]0.00263568190411406[/C][C]0.00131784095205703[/C][/ROW]
[ROW][C]277[/C][C]0.997140996913183[/C][C]0.00571800617363477[/C][C]0.00285900308681739[/C][/ROW]
[ROW][C]278[/C][C]0.988237579447006[/C][C]0.0235248411059876[/C][C]0.0117624205529938[/C][/ROW]
[ROW][C]279[/C][C]0.956112475623848[/C][C]0.0877750487523048[/C][C]0.0438875243761524[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198443&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198443&T=5

As an alternative you can also use a QR Code:  

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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.9511870962457390.09762580750852190.0488129037542609
110.9065523744887840.1868952510224310.0934476255112156
120.8994817230139690.2010365539720630.100518276986031
130.9304168103675060.1391663792649880.069583189632494
140.8933013280825020.2133973438349950.106698671917498
150.8543649949880550.291270010023890.145635005011945
160.7970013445656650.4059973108686710.202998655434335
170.8511020946429750.2977958107140510.148897905357025
180.805802008405040.3883959831899190.19419799159496
190.7871496274229710.4257007451540580.212850372577029
200.8541974312376330.2916051375247340.145802568762367
210.8217702781406170.3564594437187660.178229721859383
220.7779086500872650.4441826998254710.222091349912735
230.9931221432327090.01375571353458190.00687785676729095
240.990967265214360.01806546957128030.00903273478564013
250.9912097792204670.01758044155906540.00879022077953272
260.9981896640285860.003620671942827610.00181033597141381
270.9989695774225610.002060845154878890.00103042257743945
280.9983973724729740.00320525505405170.00160262752702585
290.998329845727130.003340308545740410.00167015427287021
300.9982952088747010.003409582250597820.00170479112529891
310.9980509380999340.003898123800131850.00194906190006592
320.9971221167029490.005755766594101250.00287788329705063
330.9959016196391430.008196760721713170.00409838036085659
340.9956461970315910.008707605936818920.00435380296840946
350.9959908327552350.008018334489528990.00400916724476449
360.9949645631153430.01007087376931430.00503543688465714
370.9933929854228610.01321402915427870.00660701457713935
380.9909749376711440.01805012465771230.00902506232885613
390.9976182858946530.004763428210693380.00238171410534669
400.9979408793575610.004118241284877910.00205912064243895
410.9971258511946350.005748297610730840.00287414880536542
420.9963671525048640.007265694990272870.00363284749513643
430.9952929782312810.00941404353743740.0047070217687187
440.9934223607938830.01315527841223330.00657763920611666
450.9946214979564650.01075700408707060.00537850204353532
460.9928999282278820.01420014354423540.0071000717721177
470.9919441983018920.01611160339621680.00805580169810839
480.9892191038236490.02156179235270130.0107808961763506
490.9858039635024170.02839207299516610.0141960364975831
500.9994397815878260.001120436824348460.00056021841217423
510.9999513262255849.73475488322126e-054.86737744161063e-05
520.9999351876588250.0001296246823490116.48123411745057e-05
530.9999088021650830.0001823956698329639.11978349164817e-05
540.9998891609045470.0002216781909050770.000110839095452539
550.9999604181414027.91637171957731e-053.95818585978866e-05
560.9999409208977280.0001181582045436715.90791022718357e-05
570.9999335807374370.0001328385251262136.64192625631063e-05
580.9999756710118214.86579763582214e-052.43289881791107e-05
590.9999629965547437.40068905147681e-053.7003445257384e-05
600.9999484343363110.0001031313273784815.15656636892403e-05
610.9999292787383510.000141442523297487.07212616487399e-05
620.9999353433509020.0001293132981968946.46566490984472e-05
630.9999392044605380.0001215910789241016.07955394620507e-05
640.9999113393376420.0001773213247166618.86606623583305e-05
650.9998845834721120.0002308330557751250.000115416527887563
660.9998341089011810.0003317821976374950.000165891098818748
670.9997939372831120.0004121254337753740.000206062716887687
680.9997090668399180.0005818663201647630.000290933160082381
690.9996193305849930.0007613388300135170.000380669415006759
700.9996856373852180.0006287252295633080.000314362614781654
710.9996291331247760.000741733750447250.000370866875223625
720.9998334465338590.0003331069322827360.000166553466141368
730.9998517872709440.0002964254581118990.000148212729055949
740.9998399972478480.0003200055043047960.000160002752152398
750.9998544051453590.0002911897092817970.000145594854640899
760.9998477128936480.0003045742127041930.000152287106352096
770.9999327448288010.0001345103423988976.72551711994485e-05
780.9999083031036590.0001833937926814249.16968963407121e-05
790.9998999409955540.0002001180088914330.000100059004445717
800.9998653217810780.0002693564378430.0001346782189215
810.9998081519098640.000383696180271030.000191848090135515
820.9998354217027040.0003291565945929240.000164578297296462
830.9998795362028510.0002409275942976950.000120463797148848
840.999885202574260.0002295948514805130.000114797425740257
850.999852869118420.0002942617631606470.000147130881580323
860.9998546472300880.0002907055398233650.000145352769911683
870.999807422484410.0003851550311808160.000192577515590408
880.9997630018555420.0004739962889160020.000236998144458001
890.9999455971433240.0001088057133527475.44028566763735e-05
900.9999268077203110.0001463845593785737.31922796892865e-05
910.9999001108746070.0001997782507864319.98891253932153e-05
920.9998789650505420.0002420698989168910.000121034949458445
930.9998709138563450.0002581722873103440.000129086143655172
940.9998272342916270.0003455314167453380.000172765708372669
950.9997957600214260.0004084799571480190.000204239978574009
960.9997611894978860.0004776210042278290.000238810502113914
970.999699828364990.0006003432700200910.000300171635010046
980.9999997800414894.39917021978144e-072.19958510989072e-07
990.9999996817565636.36486874181308e-073.18243437090654e-07
1000.9999995383153079.23369385777636e-074.61684692888818e-07
1010.9999993617477381.27650452365803e-066.38252261829017e-07
1020.999999202536231.59492754018386e-067.97463770091932e-07
1030.9999996785110796.42977841316869e-073.21488920658434e-07
1040.9999995675445198.64910961190088e-074.32455480595044e-07
1050.9999995935674558.12865089355715e-074.06432544677857e-07
1060.9999994933371581.01332568423572e-065.06662842117858e-07
1070.9999993937256761.21254864798671e-066.06274323993356e-07
1080.9999991752089241.64958215229058e-068.24791076145289e-07
1090.9999990632530451.87349390960793e-069.36746954803966e-07
1100.9999985717729182.85645416437836e-061.42822708218918e-06
1110.9999980804341723.83913165565294e-061.91956582782647e-06
1120.9999979694293474.06114130568099e-062.0305706528405e-06
1130.9999972799215195.44015696132654e-062.72007848066327e-06
1140.9999960135130927.97297381526173e-063.98648690763087e-06
1150.9999963779340437.24413191445295e-063.62206595722648e-06
1160.9999967945791036.41084179433796e-063.20542089716898e-06
1170.9999964007745277.19845094636155e-063.59922547318077e-06
1180.9999986537324082.69253518396605e-061.34626759198303e-06
1190.9999979712238344.05755233283688e-062.02877616641844e-06
1200.9999980619085883.87618282440433e-061.93809141220216e-06
1210.9999971150777585.76984448330194e-062.88492224165097e-06
1220.9999989645005862.07099882893032e-061.03549941446516e-06
1230.9999987442514072.51149718605898e-061.25574859302949e-06
1240.9999996432792417.13441518032788e-073.56720759016394e-07
1250.9999999875824142.48351728415109e-081.24175864207555e-08
1260.9999999851485082.97029850543016e-081.48514925271508e-08
1270.9999999783327364.33345283721939e-082.1667264186097e-08
1280.9999999658401646.83196720451724e-083.41598360225862e-08
1290.9999999523230379.53539254669764e-084.76769627334882e-08
1300.999999923839951.52320099235352e-077.61600496176761e-08
1310.9999998805725992.38854802140181e-071.19427401070091e-07
1320.9999999482473741.03505252188582e-075.17526260942912e-08
1330.9999999251314951.49737010137759e-077.48685050688794e-08
1340.999999985513182.89736404926755e-081.44868202463378e-08
1350.9999999795102174.09795649645401e-082.048978248227e-08
1360.999999992323571.53528592492207e-087.67642962461033e-09
1370.9999999873686552.52626905994402e-081.26313452997201e-08
1380.999999992408121.51837598020489e-087.59187990102443e-09
1390.9999999914558671.70882667753939e-088.54413338769697e-09
1400.9999999878059392.43881225474249e-081.21940612737125e-08
1410.9999999867324132.65351731205349e-081.32675865602675e-08
1420.9999999793853974.12292055916932e-082.06146027958466e-08
1430.9999999683689926.32620166811714e-083.16310083405857e-08
1440.999999952022389.59552408447609e-084.79776204223805e-08
1450.9999999362899241.27420152516579e-076.37100762582893e-08
1460.9999999309479121.38104176053408e-076.90520880267041e-08
1470.9999998963924362.07215128677829e-071.03607564338914e-07
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1600.9999997037963385.92407324741725e-072.96203662370862e-07
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1760.9999999998079983.8400326673971e-101.92001633369855e-10
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1790.9999999994509111.09817872849036e-095.49089364245181e-10
1800.999999999800913.9817951211077e-101.99089756055385e-10
1810.9999999997677854.64429833593048e-102.32214916796524e-10
1820.9999999999813433.73135098990981e-111.86567549495491e-11
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1840.9999999999621577.56855202420109e-113.78427601210054e-11
1850.9999999999747065.05874674379942e-112.52937337189971e-11
1860.9999999999537479.25064255047248e-114.62532127523624e-11
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1880.9999999998533192.93362604902081e-101.4668130245104e-10
1890.9999999997990984.01804298133733e-102.00902149066867e-10
1900.9999999996416227.16755020469989e-103.58377510234995e-10
1910.999999999834043.31919064796572e-101.65959532398286e-10
1920.9999999996915096.16982222988545e-103.08491111494272e-10
1930.9999999995162369.67527318956441e-104.8376365947822e-10
1940.9999999992004781.59904367925499e-097.99521839627496e-10
1950.9999999988071662.38566875750416e-091.19283437875208e-09
1960.9999999981449443.71011275877701e-091.8550563793885e-09
1970.9999999974228665.15426786608815e-092.57713393304407e-09
1980.9999999960001347.9997320372208e-093.9998660186104e-09
1990.9999999970430015.91399868078442e-092.95699934039221e-09
2000.9999999945665391.08669228404653e-085.43346142023264e-09
2010.9999999903495221.93009562349639e-089.65047811748195e-09
2020.9999999826660383.46679250793791e-081.73339625396896e-08
2030.9999999766588194.66823622273513e-082.33411811136757e-08
2040.9999999645186387.09627247086159e-083.5481362354308e-08
2050.999999960476727.90465605318252e-083.95232802659126e-08
2060.9999999390810741.21837851599772e-076.09189257998861e-08
2070.9999998942171432.11565713294278e-071.05782856647139e-07
2080.9999999866207632.67584740122428e-081.33792370061214e-08
2090.9999999906899451.86201108794268e-089.31005543971339e-09
2100.9999999872285652.55428693106635e-081.27714346553317e-08
2110.9999999825294923.49410151763398e-081.74705075881699e-08
2120.9999999927092531.45814930846861e-087.29074654234306e-09
2130.9999999861994142.76011717403208e-081.38005858701604e-08
2140.9999999756088754.8782250408874e-082.4391125204437e-08
2150.999999976421024.71579596971139e-082.35789798485569e-08
2160.9999999615494537.69010933314783e-083.84505466657391e-08
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2200.9999999333051321.33389736365389e-076.66948681826944e-08
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2230.9999999383726481.23254703327578e-076.16273516637888e-08
2240.9999999042031111.91593778720452e-079.57968893602261e-08
2250.9999998211518233.57696354495185e-071.78848177247593e-07
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2280.9999993975918781.20481624336012e-066.02408121680059e-07
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2300.9999996203096027.59380795808934e-073.79690397904467e-07
2310.999999481704371.03659125954076e-065.18295629770378e-07
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2330.9999994171762341.16564753251327e-065.82823766256636e-07
2340.9999990338177831.93236443416552e-069.66182217082758e-07
2350.9999995644532628.71093475678441e-074.35546737839221e-07
2360.9999992774189621.44516207503876e-067.22581037519379e-07
2370.9999999942933041.14133913501191e-085.70669567505954e-09
2380.9999999908192921.83614159178558e-089.1807079589279e-09
2390.9999999888273792.23452424150398e-081.11726212075199e-08
2400.9999999924473331.5105334632163e-087.55266731608149e-09
2410.9999999864245472.71509055498822e-081.35754527749411e-08
2420.999999975069654.98606999761918e-082.49303499880959e-08
2430.999999973458865.30822802676487e-082.65411401338244e-08
2440.9999999426814081.14637184966074e-075.73185924830372e-08
2450.9999998752157392.49568522549034e-071.24784261274517e-07
2460.9999997229571715.54085658362525e-072.77042829181263e-07
2470.9999996293223317.41355338354091e-073.70677669177046e-07
2480.9999996614935976.77012806389341e-073.3850640319467e-07
2490.9999992705282271.45894354581636e-067.29471772908178e-07
2500.9999989213041762.15739164777886e-061.07869582388943e-06
2510.9999986617570272.67648594563826e-061.33824297281913e-06
2520.9999973627268295.27454634275807e-062.63727317137904e-06
2530.9999942957577151.1408484568948e-055.70424228447402e-06
2540.9999882612379652.34775240703039e-051.1738762035152e-05
2550.9999831747474823.36505050368381e-051.68252525184191e-05
2560.9999685671916076.28656167869014e-053.14328083934507e-05
2570.99997049820835.90035833995882e-052.95017916997941e-05
2580.999944970955230.0001100580895400625.50290447700308e-05
2590.9999070036084010.0001859927831973919.29963915986955e-05
2600.9998065551342920.0003868897314154330.000193444865707717
2610.9998555548772610.0002888902454772640.000144445122738632
2620.9997162221567390.0005675556865210350.000283777843260517
2630.9994154967499940.001169006500012850.000584503250006426
2640.9991516268840920.001696746231815180.000848373115907589
2650.9987614548711370.002477090257725220.00123854512886261
2660.9975491985494390.004901602901121950.00245080145056097
2670.9976104621231250.004779075753749780.00238953787687489
2680.9969166982064170.00616660358716670.00308330179358335
2690.9999703465169375.9306966126364e-052.9653483063182e-05
2700.9999954003528199.19929436106454e-064.59964718053227e-06
2710.9999887602696962.2479460608727e-051.12397303043635e-05
2720.999955305415058.9389169899214e-054.4694584949607e-05
2730.9999620107657167.59784685684144e-053.79892342842072e-05
2740.9998393281527490.0003213436945023550.000160671847251178
2750.9995991734207960.0008016531584075780.000400826579203789
2760.9986821590479430.002635681904114060.00131784095205703
2770.9971409969131830.005718006173634770.00285900308681739
2780.9882375794470060.02352484110598760.0117624205529938
2790.9561124756238480.08777504875230480.0438875243761524







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2430.9NOK
5% type I error level2560.948148148148148NOK
10% type I error level2580.955555555555556NOK

\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 & 243 & 0.9 & NOK \tabularnewline
5% type I error level & 256 & 0.948148148148148 & NOK \tabularnewline
10% type I error level & 258 & 0.955555555555556 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198443&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]243[/C][C]0.9[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]256[/C][C]0.948148148148148[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]258[/C][C]0.955555555555556[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198443&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198443&T=6

As an alternative you can also use a QR Code:  

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 level2430.9NOK
5% type I error level2560.948148148148148NOK
10% type I error level2580.955555555555556NOK



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 ; par4 = ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
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')
}