Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationTue, 11 Dec 2012 04:40:47 -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/t1355218876mu0xmpkjm8iy070.htm/, Retrieved Thu, 28 Mar 2024 13:55:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=198374, Retrieved Thu, 28 Mar 2024 13:55:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact118
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] [Multiple regressie] [2012-12-06 17:26:34] [37f59b7a972c225c3d32d27fed432050]
-           [Multiple Regression] [Multiple regression] [2012-12-11 09:40:47] [d41d8cd98f00b204e9800998ecf8427e] [Current]
Feedback Forum

Post a new message
Dataseries X:
210907	56	396	3	30	112285	1
120982	56	297	4	28	84786	1
176508	54	559	12	38	83123	1
179321	89	967	2	30	101193	1
123185	40	270	1	22	38361	1
52746	25	143	3	26	68504	1
385534	92	1562	0	25	119182	1
33170	18	109	0	18	22807	1
101645	63	371	0	11	17140	0
149061	44	656	5	26	116174	1
165446	33	511	0	25	57635	1
237213	84	655	0	38	66198	1
173326	88	465	7	44	71701	1
133131	55	525	7	30	57793	1
258873	60	885	3	40	80444	1
180083	66	497	9	34	53855	1
324799	154	1436	0	47	97668	1
230964	53	612	4	30	133824	1
236785	119	865	3	31	101481	1
135473	41	385	0	23	99645	1
202925	61	567	7	36	114789	1
215147	58	639	0	36	99052	1
344297	75	963	1	30	67654	1
153935	33	398	5	25	65553	1
132943	40	410	7	39	97500	1
174724	92	966	0	34	69112	1
174415	100	801	0	31	82753	1
225548	112	892	5	31	85323	1
223632	73	513	0	33	72654	1
124817	40	469	0	25	30727	1
221698	45	683	0	33	77873	1
210767	60	643	3	35	117478	1
170266	62	535	4	42	74007	1
260561	75	625	1	43	90183	1
84853	31	264	4	30	61542	1
294424	77	992	2	33	101494	1
101011	34	238	0	13	27570	1
215641	46	818	0	32	55813	1
325107	99	937	0	36	79215	1
7176	17	70	0	0	1423	1
167542	66	507	2	28	55461	1
106408	30	260	1	14	31081	1
96560	76	503	0	17	22996	1
265769	146	927	2	32	83122	1
269651	67	1269	10	30	70106	1
149112	56	537	6	35	60578	1
175824	107	910	0	20	39992	1
152871	58	532	5	28	79892	1
111665	34	345	4	28	49810	1
116408	61	918	1	39	71570	1
362301	119	1635	2	34	100708	1
78800	42	330	2	26	33032	1
183167	66	557	0	39	82875	1
277965	89	1178	8	39	139077	1
150629	44	740	3	33	71595	1
168809	66	452	0	28	72260	1
24188	24	218	0	4	5950	1
329267	259	764	8	39	115762	1
65029	17	255	5	18	32551	1
101097	64	454	3	14	31701	1
218946	41	866	1	29	80670	1
244052	68	574	5	44	143558	1
341570	168	1276	1	21	117105	1
103597	43	379	1	16	23789	1
233328	132	825	5	28	120733	1
256462	105	798	0	35	105195	1
206161	71	663	12	28	73107	1
311473	112	1069	8	38	132068	1
235800	94	921	8	23	149193	1
177939	82	858	8	36	46821	1
207176	70	711	8	32	87011	1
196553	57	503	2	29	95260	1
174184	53	382	0	25	55183	1
143246	103	464	5	27	106671	1
187559	121	717	8	36	73511	1
187681	62	690	2	28	92945	1
119016	52	462	5	23	78664	1
182192	52	657	12	40	70054	1
73566	32	385	6	23	22618	1
194979	62	577	7	40	74011	1
167488	45	619	2	28	83737	1
143756	46	479	0	34	69094	1
275541	63	817	4	33	93133	1
243199	75	752	3	28	95536	1
182999	88	430	6	34	225920	1
135649	46	451	2	30	62133	1
152299	53	537	0	33	61370	1
120221	37	519	1	22	43836	1
346485	90	1000	0	38	106117	1
145790	63	637	5	26	38692	1
193339	78	465	2	35	84651	1
80953	25	437	0	8	56622	1
122774	45	711	0	24	15986	1
130585	46	299	5	29	95364	1
112611	41	248	0	20	26706	0
286468	144	1162	1	29	89691	1
241066	82	714	0	45	67267	1
148446	91	905	1	37	126846	1
204713	71	649	1	33	41140	1
182079	63	512	2	33	102860	1
140344	53	472	6	25	51715	1
220516	62	905	1	32	55801	1
243060	63	786	4	29	111813	1
162765	32	489	2	28	120293	1
182613	39	479	3	28	138599	1
232138	62	617	0	31	161647	1
265318	117	925	10	52	115929	1
85574	34	351	0	21	24266	0
310839	92	1144	9	24	162901	1
225060	93	669	7	41	109825	1
232317	54	707	0	33	129838	1
144966	144	458	0	32	37510	1
43287	14	214	4	19	43750	1
155754	61	599	4	20	40652	1
164709	109	572	0	31	87771	1
201940	38	897	0	31	85872	1
235454	73	819	0	32	89275	1
220801	75	720	1	18	44418	0
99466	50	273	0	23	192565	1
92661	61	508	1	17	35232	0
133328	55	506	0	20	40909	0
61361	77	451	0	12	13294	0
125930	75	699	4	17	32387	0
100750	72	407	0	30	140867	1
224549	50	465	4	31	120662	1
82316	32	245	4	10	21233	0
102010	53	370	3	13	44332	0
101523	42	316	0	22	61056	0
243511	71	603	0	42	101338	1
22938	10	154	0	1	1168	1
41566	35	229	5	9	13497	0
152474	65	577	0	32	65567	1
61857	25	192	4	11	25162	1
99923	66	617	0	25	32334	0
132487	41	411	0	36	40735	1
317394	86	975	1	31	91413	1
21054	16	146	0	0	855	1
209641	42	705	5	24	97068	1
22648	19	184	0	13	44339	0
31414	19	200	0	8	14116	1
46698	45	274	0	13	10288	0
131698	65	502	0	19	65622	0
91735	35	382	0	18	16563	0
244749	95	964	2	33	76643	1
184510	49	537	7	40	110681	1
79863	37	438	1	22	29011	0
128423	64	369	8	38	92696	1
97839	38	417	2	24	94785	1
38214	34	276	0	8	8773	1
151101	32	514	2	35	83209	1
272458	65	822	0	43	93815	1
172494	52	389	0	43	86687	1
108043	62	466	1	14	34553	0
328107	65	1255	3	41	105547	1
250579	83	694	0	38	103487	1
351067	95	1024	3	45	213688	1
158015	29	400	0	31	71220	1
98866	18	397	0	13	23517	0
85439	33	350	0	28	56926	1
229242	247	719	4	31	91721	1
351619	139	1277	4	40	115168	1
84207	29	356	11	30	111194	1
120445	118	457	0	16	51009	0
324598	110	1402	0	37	135777	1
131069	67	600	4	30	51513	1
204271	42	480	0	35	74163	1
165543	65	595	1	32	51633	1
141722	94	436	0	27	75345	1
116048	64	230	0	20	33416	0
250047	81	651	0	18	83305	0
299775	95	1367	9	31	98952	1
195838	67	564	1	31	102372	1
173260	63	716	3	21	37238	1
254488	83	747	10	39	103772	1
104389	45	467	5	41	123969	1
136084	30	671	0	13	27142	0
199476	70	861	2	32	135400	1
92499	32	319	0	18	21399	0
224330	83	612	1	39	130115	1
135781	31	433	2	14	24874	0
74408	67	434	4	7	34988	0
81240	66	503	0	17	45549	0
14688	10	85	0	0	6023	1
181633	70	564	2	30	64466	1
271856	103	824	1	37	54990	1
7199	5	74	0	0	1644	1
46660	20	259	0	5	6179	1
17547	5	69	0	1	3926	1
133368	36	535	1	16	32755	0
95227	34	239	0	32	34777	1
152601	48	438	2	24	73224	1
98146	40	459	0	17	27114	0
79619	43	426	3	11	20760	0
59194	31	288	6	24	37636	0
139942	42	498	0	22	65461	0
118612	46	454	2	12	30080	0
72880	33	376	0	19	24094	0
65475	18	225	2	13	69008	0
99643	55	555	1	17	54968	0
71965	35	252	1	15	46090	0
77272	59	208	2	16	27507	0
49289	19	130	1	24	10672	0
135131	66	481	0	15	34029	0
108446	60	389	1	17	46300	0
89746	36	565	3	18	24760	0
44296	25	173	0	20	18779	0
77648	47	278	0	16	21280	0
181528	54	609	0	16	40662	0
134019	53	422	0	18	28987	0
124064	40	445	1	22	22827	0
92630	40	387	4	8	18513	0
121848	39	339	0	17	30594	0
52915	14	181	0	18	24006	0
81872	45	245	0	16	27913	0
58981	36	384	7	23	42744	0
53515	28	212	2	22	12934	0
60812	44	399	0	13	22574	0
56375	30	229	7	13	41385	0
65490	22	224	3	16	18653	0
80949	17	203	0	16	18472	0
76302	31	333	0	20	30976	0
104011	55	384	6	22	63339	0
98104	54	636	2	17	25568	0
67989	21	185	0	18	33747	0
30989	14	93	0	17	4154	0
135458	81	581	3	12	19474	0
73504	35	248	0	7	35130	0
63123	43	304	1	17	39067	0
61254	46	344	1	14	13310	0
74914	30	407	0	23	65892	0
31774	23	170	1	17	4143	0
81437	38	312	0	14	28579	0
87186	54	507	0	15	51776	0
50090	20	224	0	17	21152	0
65745	53	340	0	21	38084	0
56653	45	168	0	18	27717	0
158399	39	443	0	18	32928	0
46455	20	204	0	17	11342	0
73624	24	367	0	17	19499	0
38395	31	210	0	16	16380	0
91899	35	335	0	15	36874	0
139526	151	364	0	21	48259	0
52164	52	178	0	16	16734	0
51567	30	206	2	14	28207	0
70551	31	279	0	15	30143	0
84856	29	387	1	17	41369	0
102538	57	490	1	15	45833	0
86678	40	238	0	15	29156	0
85709	44	343	0	10	35944	0
34662	25	232	0	6	36278	0
150580	77	530	0	22	45588	0
99611	35	291	0	21	45097	0
19349	11	67	0	1	3895	0
99373	63	397	1	18	28394	0
86230	44	467	0	17	18632	0
30837	19	178	0	4	2325	0
31706	13	175	0	10	25139	0
89806	42	299	0	16	27975	0
62088	38	154	1	16	14483	0
40151	29	106	0	9	13127	0
27634	20	189	0	16	5839	0
76990	27	194	0	17	24069	0
37460	20	135	0	7	3738	0
54157	19	201	0	15	18625	0
49862	37	207	0	14	36341	0
84337	26	280	0	14	24548	0
64175	42	260	0	18	21792	0
59382	49	227	0	12	26263	0
119308	30	239	0	16	23686	0
76702	49	333	0	21	49303	0
103425	67	428	1	19	25659	0
70344	28	230	0	16	28904	0
43410	19	292	0	1	2781	0
104838	49	350	1	16	29236	0
62215	27	186	0	10	19546	0
69304	30	326	6	19	22818	0
53117	22	155	3	12	32689	0
19764	12	75	1	2	5752	0
86680	31	361	2	14	22197	0
84105	20	261	0	17	20055	0
77945	20	299	0	19	25272	0
89113	39	300	0	14	82206	0
91005	29	450	3	11	32073	0
40248	16	183	1	4	5444	0
64187	27	238	0	16	20154	0
50857	21	165	0	20	36944	0
56613	19	234	1	12	8019	0
62792	35	176	0	15	30884	0
72535	14	329	0	16	19540	0




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time14 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 14 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198374&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]14 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198374&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198374&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 time14 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Multiple Linear Regression - Estimated Regression Equation
Time[t] = -15162.1014353819 + 283.071702433232Logins[t] + 163.881629844571Views[t] -1654.72151258888Shared[t] + 1499.39232284019Reviewed[t] + 0.369256570364362TotalSize[t] + 6459.26358522112Pop[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Time[t] =  -15162.1014353819 +  283.071702433232Logins[t] +  163.881629844571Views[t] -1654.72151258888Shared[t] +  1499.39232284019Reviewed[t] +  0.369256570364362TotalSize[t] +  6459.26358522112Pop[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198374&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Time[t] =  -15162.1014353819 +  283.071702433232Logins[t] +  163.881629844571Views[t] -1654.72151258888Shared[t] +  1499.39232284019Reviewed[t] +  0.369256570364362TotalSize[t] +  6459.26358522112Pop[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198374&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198374&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[t] = -15162.1014353819 + 283.071702433232Logins[t] + 163.881629844571Views[t] -1654.72151258888Shared[t] + 1499.39232284019Reviewed[t] + 0.369256570364362TotalSize[t] + 6459.26358522112Pop[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-15162.10143538194286.089526-3.53750.0004720.000236
Logins283.07170243323270.8538833.99518.3e-054.1e-05
Views163.8816298445719.2908617.63900
Shared-1654.72151258888683.34207-2.42150.0160870.008044
Reviewed1499.39232284019267.2483525.610500
TotalSize0.3692565703643620.06745.478600
Pop6459.263585221124681.7652911.37970.1687830.084392

\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) & -15162.1014353819 & 4286.089526 & -3.5375 & 0.000472 & 0.000236 \tabularnewline
Logins & 283.071702433232 & 70.853883 & 3.9951 & 8.3e-05 & 4.1e-05 \tabularnewline
Views & 163.881629844571 & 9.29086 & 17.639 & 0 & 0 \tabularnewline
Shared & -1654.72151258888 & 683.34207 & -2.4215 & 0.016087 & 0.008044 \tabularnewline
Reviewed & 1499.39232284019 & 267.248352 & 5.6105 & 0 & 0 \tabularnewline
TotalSize & 0.369256570364362 & 0.0674 & 5.4786 & 0 & 0 \tabularnewline
Pop & 6459.26358522112 & 4681.765291 & 1.3797 & 0.168783 & 0.084392 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198374&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]-15162.1014353819[/C][C]4286.089526[/C][C]-3.5375[/C][C]0.000472[/C][C]0.000236[/C][/ROW]
[ROW][C]Logins[/C][C]283.071702433232[/C][C]70.853883[/C][C]3.9951[/C][C]8.3e-05[/C][C]4.1e-05[/C][/ROW]
[ROW][C]Views[/C][C]163.881629844571[/C][C]9.29086[/C][C]17.639[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]Shared[/C][C]-1654.72151258888[/C][C]683.34207[/C][C]-2.4215[/C][C]0.016087[/C][C]0.008044[/C][/ROW]
[ROW][C]Reviewed[/C][C]1499.39232284019[/C][C]267.248352[/C][C]5.6105[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]TotalSize[/C][C]0.369256570364362[/C][C]0.0674[/C][C]5.4786[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]Pop[/C][C]6459.26358522112[/C][C]4681.765291[/C][C]1.3797[/C][C]0.168783[/C][C]0.084392[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198374&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198374&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)-15162.10143538194286.089526-3.53750.0004720.000236
Logins283.07170243323270.8538833.99518.3e-054.1e-05
Views163.8816298445719.2908617.63900
Shared-1654.72151258888683.34207-2.42150.0160870.008044
Reviewed1499.39232284019267.2483525.610500
TotalSize0.3692565703643620.06745.478600
Pop6459.263585221124681.7652911.37970.1687830.084392







Multiple Linear Regression - Regression Statistics
Multiple R0.938847505413347
R-squared0.881434638420865
Adjusted R-squared0.878911971153224
F-TEST (value)349.405825226034
F-TEST (DF numerator)6
F-TEST (DF denominator)282
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation28652.223669986
Sum Squared Residuals231507877788.243

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.938847505413347 \tabularnewline
R-squared & 0.881434638420865 \tabularnewline
Adjusted R-squared & 0.878911971153224 \tabularnewline
F-TEST (value) & 349.405825226034 \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 & 28652.223669986 \tabularnewline
Sum Squared Residuals & 231507877788.243 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198374&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.938847505413347[/C][/ROW]
[ROW][C]R-squared[/C][C]0.881434638420865[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.878911971153224[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]349.405825226034[/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]28652.223669986[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]231507877788.243[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198374&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198374&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 R0.938847505413347
R-squared0.881434638420865
Adjusted R-squared0.878911971153224
F-TEST (value)349.405825226034
F-TEST (DF numerator)6
F-TEST (DF denominator)282
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation28652.223669986
Sum Squared Residuals231507877788.243







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1210907153525.88205535257381.1179446481
2120982122493.908114021-1511.90811402056
3176508166006.82917960710501.1708203932
4179321254002.586511006-74681.5865110062
512318592365.031190845430819.9688091546
65274681124.6157307624-28378.6157307623
7385534354816.40923108730717.590768913
83317049666.2468581192-16496.2468581192
910164586293.873657534915351.1263424651
10149061184867.27187135-35806.2718713502
11165446143148.95168466722297.0483153334
12237213203838.60741533233374.3925846678
13173326173278.70681023147.2931897692595
14133131147643.125520218-14512.1255202181
15258873238032.7106305120840.2893694895
16180083147402.22250342432680.7774965762
17324799376760.214669197-51961.2146691968
18230964194373.79475096936590.2052490313
19236785245729.828042373-8944.82804237309
20135473137278.123819043-1805.12381904293
21202925186267.08560981816657.9143901822
22215147202989.40779162512157.5922083746
23344297238654.281556701105642.718443299
24153935119280.49347343134654.5065265693
25132943152707.264096613-19764.2640966134
26174724252148.812271141-77424.8122711407
27174415227911.768874072-53496.768874072
28225548238897.239442019-13349.2394420188
29223632172340.58605470951291.4139452911
30124817128311.469352863-3494.469352863
31221698194201.60550088727496.3944991129
32210767204551.4424207976215.55757920294
33170266180207.442179433-9941.44217943315
34260561211073.37213989749487.6278601027
3584853104424.80669245-19571.8066924501
36294424259312.09002412235111.9099758781
3710101169597.93177744531413.068222555
38215641206963.5049672598677.49503274054
39325107256107.13069875268999.8693012477
4071768106.54727995267-930.547279952673
41167542152220.76150495615321.2384950443
4210640873212.171453093333195.8285469067
4396560129224.164926966-32664.1649269663
44265769259908.3575185445860.64248145648
45269651272550.410166908-2899.41016690761
46149112160072.839456041-10960.8394560408
47175824215473.27268757-39649.2726875703
48152871158110.371364409-5239.37136440919
49111665111217.531087965447.468912035036
50116408242257.144014739-125849.144014739
51362301377786.146174911-15485.1461749107
5278800105139.151901686-26339.1519016864
53183167190340.401193573-7173.40119357274
54277965306136.728149923-28171.7281499226
55150629195977.42941308-45348.4294130804
56168809152719.85601423316089.1439857671
572418842011.7241993821-17823.7241993821
58329267277802.70586987551464.2941301255
596502968634.3215716793-3605.32157167928
60101097111549.141574118-10452.1415741181
61218946216440.176776072505.82322392982
62244052215323.48281647428728.5171835259
63341570321040.47577986920529.5242201312
6410359796700.18327081276896.81672918727
65233328242155.802479179-8827.80247917861
66256462243119.90774018213342.0922598178
67206161169170.34058763636990.6594123643
68311473290696.76802830520776.2319716953
69235800245179.630092397-9379.63009239675
70177939213148.793558572-35209.7935585721
71207176194504.18581380412671.8141861957
72196553165213.0242304531339.9757695503
73174184126764.23837284847419.7616271519
74143246168093.576519421-24847.5765194208
75187559210936.738008408-23377.7380084084
76187681194920.026240317-7239.02624031701
77119016136989.818378081-17973.8183780814
78182192179674.0560270972517.9439729032
797356696359.4235761549-22793.4235761549
80194979179128.9984757415850.0015242604
81167488175072.097080072-7584.09708007247
82143756159310.513606639-15554.5136066393
83275541220273.00375726355267.9962427375
84243199208062.64168353835136.3583164624
85182999211150.027074879-28151.0270748792
86135649142844.420668146-7195.42066814646
87152299166445.619982323-14146.6199823225
88120221134344.021637589-14123.0216375888
89346485276816.55295868469668.4470413164
90145790158521.145665563-12731.1456655632
91193339170008.939029523330.0609705004
9280953102893.41106264-21940.4110626401
93122774162443.578860834-39669.5788608341
94130585123741.6211609436843.37883905709
9511261176935.694990788835675.3050092112
96286468297436.588081943-10968.5880819431
97241066223831.96170489617234.0382951037
98148446266031.075437536-117585.075437536
99204713180770.87123765323942.1287623472
100182079177190.308339784888.69166021981
101140344130304.67419730310039.3258026973
102220516224091.201411236-3575.20141123562
103243060216092.81667512626967.1833248737
104162765163586.096254886-821.096254885793
105182613169033.67113797413579.3288620262
106232138216132.95215253416005.047847466
107265318280235.789548327-14917.7895483271
1088557492432.4072388982-6858.40723889817
109310839286065.53001967624773.4699803243
110225060217705.278330747354.72166926024
111232317219870.8276180412446.17238196
112144966168948.642054292-23982.6420542917
1134328768355.3778076917-25068.3778076917
114155754145109.61078006510644.3892199351
115164709194783.450431653-30074.4504316526
116201940227245.671031257-25305.6710312569
117235454227126.3859203348327.61407966644
118220801165799.02837618155001.9716238194
11999466155782.347116607-56316.3471166065
12092661122201.735836859-29540.7358368591
121133328128424.7103936384903.28960636155
12261361103446.639432385-42085.6394323847
123125930151451.431490784-25521.4314907842
124100750175375.983054495-74625.9830544948
125224549166073.21740022258475.7825997785
1268231650262.654290994432053.3457090056
12710201091374.719772619510635.2802273805
128101523104045.465360349-2522.4653603491
129243511210610.07570574732900.924294253
1302293821296.33416726131641.66583273871
1314156642479.0806570132-913.080657013204
132152474176448.123108283-23974.1231082832
1336185749004.890965222412852.1090347776
13499923154059.946556478-54136.946556478
135132487139278.24183176-6791.24183175975
136317394254007.20901972963386.7909802714
1372105420068.7417137399985.258286260122
138209641182277.52764980627363.4723501942
1392264856235.0480725586-33587.0480725586
1403141446659.4147949698-15245.4147949698
1414669865770.7035443571-19072.7035443571
142131698138225.946199167-6527.94619916676
1439173590453.24913647581281.75086352415
144244749250642.300002147-5893.30000214731
145184510182434.4395855862075.56041441414
14679863109136.117379306-29273.1173793058
147128423147853.815731924-19430.8157319241
14897839138068.483232461-40229.4832324612
1493821461387.5563441989-23173.5563441989
150151101164485.372605489-13384.3726054895
151272458243523.19757109828934.8024289023
152172494166250.4588832096243.54111679075
153108043110852.876906022-2809.87690602232
154328107310853.11219386517253.8878061352
155250579223716.12752915426862.872470846
156351067327417.95083989923649.049160101
157158015137838.50840762720176.4915923727
1589886683170.103218892315695.8967811077
15985439121000.383339823-35561.3833398229
160229242252777.622357174-23535.6223571744
161351619335804.31765855115814.682341449
16284207125687.049876893-41480.0498768933
163120445135959.949853867-15514.9498538674
164324598357811.159759033-33213.1597590327
165131069165976.341463638-34907.3414636382
166204271161713.26230476842557.7376952319
167165543172598.04988144-7055.04988143959
168141722157663.521801584-15941.5218015842
16911604882974.186396695733073.8136033043
170250047172203.62789585277843.3721041476
171299775310342.506423966-10567.5064239655
172195838185320.17956200110517.8204379985
173173260166743.3767809516516.62321904863
174254488217459.26923042237028.7307695785
175104389179545.955341753-75156.9553417525
176136084132809.0852930743274.91470692562
177199476246882.715549384-47406.7155493843
1789249981065.216123250211433.7838767498
179224330219955.0686478134374.93135218734
18013578191440.804488575744340.1955114243
1817440891724.7390736227-17316.7390736227
18281240128262.02774884-47022.0277488404
1831468810281.85003426474406.14996573533
184181633169018.24127764112614.7587223594
185271856229620.22372922342235.7762707767
18671995446.81907218271752.1809278173
1874666049182.5362907302-2522.53629073018
188175476969.446739371510577.5532606285
189133368117135.70643419916232.293565801
19095227100911.499643869-5684.49964386926
191152601136379.17356990316221.8264300965
19298146106884.126897748-8738.12689774818
1937961986018.4734972741-6399.47349727408
1945919480765.4576901493-21571.4576901493
195139942135498.4971845164443.50281548394
19611861298051.959311446720560.0406885533
1977288093184.0795067961-20304.0795067961
1986547568470.8705028934-2995.87050289345
19999643135493.389897666-35850.3898976655
2007196573898.7775287206-1933.77752872064
2017727266464.482637127510807.5173628725
2024928949792.273145148-503.273145148026
203135131117404.01155598217726.988444018
204108446106503.6819037151942.31809628539
20589746118789.290669976-29043.2906699757
2064429657188.328680236-12892.328680236
2077764875549.41865856752098.58134143246
208181528138932.67090095542595.3290990447
209134019106691.44860426427327.5513957363
210124064108849.02126438415214.9787356157
2119263071795.256831317920834.7431686821
21212184888220.272478834433627.7275211656
2135291554316.9124398411-1401.91243984111
2148187272024.4603000579847.53969994295
2155898196645.5013933864-37664.5013933864
2165351561959.9643181969-8444.96431819687
2176081290509.5217959919-29697.5217959919
2185637554049.67564535142325.32435464862
2196549053688.816538016111801.1834619839
2208094953729.272897644627219.7271023554
2217630289611.6420587009-13309.6420587009
222104011109784.031996021-5773.03199602052
22398104135973.865531341-37869.8655313415
2246798960550.86912817137438.13087182874
2253098931065.4552558053-76.4552558053421
226135458123201.37918899712256.620811003
2277350458855.781928016314648.2180719837
2286312385090.6916521157-21967.6916521157
2296125478486.0535018028-17232.0535018028
23074914118846.950344129-43932.9503441285
2313177444573.2027408735-12799.2027408735
2328143778270.1678127933166.83218720704
23387186124821.269856998-37635.2698569983
2345009060509.002163097-10419.002163097
23565745101110.458946134-35365.458946134
2365665362331.985159914-5678.98515991402
237158399107625.1991407450773.8008592596
2384645553608.9626109312-7153.96261093117
2397362484465.9809297913-10841.9809297913
2403839558066.9633954196-19671.9633954196
2419189985752.6057659316146.39423406903
242139526136541.8305043182984.16949568211
2435216458897.9738174002-6733.97381740018
2445156755187.3349604493-3620.33496044926
2457055172957.4817097795-2406.48170977954
2468485695579.8917201286-10723.8917201286
247102538119035.283946676-16497.283946676
2488667868421.523973101618256.4760268984
2498570981770.93390194683938.06609805319
2503466252327.4730461089-17665.4730461089
251150580143311.9831018557268.0168981455
2529961190574.56476791729036.43523208285
253193491869.4031553793417479.5968446207
25499373103551.434223667-4178.4342236668
25586230106195.432516407-19965.4325164072
2563083726243.28184064114593.71815935888
2573170641473.7800698417-9767.78006984172
2588980680047.74711172689758.25288827322
2596208848515.892814586213572.1071854138
2604015128760.192603441111390.8073965589
2612763447619.3269337073-19985.3269337073
2627699058651.176600545318338.8233994547
2633746024499.379962203212960.6200377968
2645415752524.75697524751632.24302475252
2654986263645.6944758479-13783.6944758479
2668433768140.621993429216196.3780065708
2676417574372.034818906-10197.034818906
2685938263600.0351401257-4218.03514012571
26911930865234.24746156154073.752538439
27076702102973.690190407-26271.6901904069
271103425110253.527161475-6828.5271614751
2727034465119.95017225465224.0498277454
2734341040595.99167048782814.0083295122
27410483889198.123173473115639.8768265269
2756221545174.229834149417040.7701658506
2766930473741.2824479497-4437.28244794972
2775311741566.300009014111550.6999909859
278197643993.9081579870715770.0918420129
2798668078652.82730090128027.17269909878
2808410566167.548009656417937.4519903436
2817794577320.2461170214624.753882978616
2828911396388.782056021-7275.78205602096
2839100590166.0283600106838.971639989434
2844024825710.464612941914537.5353870581
2856418762916.93651788981270.06348211022
2865085761452.5344324151-10595.5344324151
2875661347863.61709372458749.38290627555
2886279257483.57976416165308.42023583837
2897253573923.50916791-1388.50916791002

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 210907 & 153525.882055352 & 57381.1179446481 \tabularnewline
2 & 120982 & 122493.908114021 & -1511.90811402056 \tabularnewline
3 & 176508 & 166006.829179607 & 10501.1708203932 \tabularnewline
4 & 179321 & 254002.586511006 & -74681.5865110062 \tabularnewline
5 & 123185 & 92365.0311908454 & 30819.9688091546 \tabularnewline
6 & 52746 & 81124.6157307624 & -28378.6157307623 \tabularnewline
7 & 385534 & 354816.409231087 & 30717.590768913 \tabularnewline
8 & 33170 & 49666.2468581192 & -16496.2468581192 \tabularnewline
9 & 101645 & 86293.8736575349 & 15351.1263424651 \tabularnewline
10 & 149061 & 184867.27187135 & -35806.2718713502 \tabularnewline
11 & 165446 & 143148.951684667 & 22297.0483153334 \tabularnewline
12 & 237213 & 203838.607415332 & 33374.3925846678 \tabularnewline
13 & 173326 & 173278.706810231 & 47.2931897692595 \tabularnewline
14 & 133131 & 147643.125520218 & -14512.1255202181 \tabularnewline
15 & 258873 & 238032.71063051 & 20840.2893694895 \tabularnewline
16 & 180083 & 147402.222503424 & 32680.7774965762 \tabularnewline
17 & 324799 & 376760.214669197 & -51961.2146691968 \tabularnewline
18 & 230964 & 194373.794750969 & 36590.2052490313 \tabularnewline
19 & 236785 & 245729.828042373 & -8944.82804237309 \tabularnewline
20 & 135473 & 137278.123819043 & -1805.12381904293 \tabularnewline
21 & 202925 & 186267.085609818 & 16657.9143901822 \tabularnewline
22 & 215147 & 202989.407791625 & 12157.5922083746 \tabularnewline
23 & 344297 & 238654.281556701 & 105642.718443299 \tabularnewline
24 & 153935 & 119280.493473431 & 34654.5065265693 \tabularnewline
25 & 132943 & 152707.264096613 & -19764.2640966134 \tabularnewline
26 & 174724 & 252148.812271141 & -77424.8122711407 \tabularnewline
27 & 174415 & 227911.768874072 & -53496.768874072 \tabularnewline
28 & 225548 & 238897.239442019 & -13349.2394420188 \tabularnewline
29 & 223632 & 172340.586054709 & 51291.4139452911 \tabularnewline
30 & 124817 & 128311.469352863 & -3494.469352863 \tabularnewline
31 & 221698 & 194201.605500887 & 27496.3944991129 \tabularnewline
32 & 210767 & 204551.442420797 & 6215.55757920294 \tabularnewline
33 & 170266 & 180207.442179433 & -9941.44217943315 \tabularnewline
34 & 260561 & 211073.372139897 & 49487.6278601027 \tabularnewline
35 & 84853 & 104424.80669245 & -19571.8066924501 \tabularnewline
36 & 294424 & 259312.090024122 & 35111.9099758781 \tabularnewline
37 & 101011 & 69597.931777445 & 31413.068222555 \tabularnewline
38 & 215641 & 206963.504967259 & 8677.49503274054 \tabularnewline
39 & 325107 & 256107.130698752 & 68999.8693012477 \tabularnewline
40 & 7176 & 8106.54727995267 & -930.547279952673 \tabularnewline
41 & 167542 & 152220.761504956 & 15321.2384950443 \tabularnewline
42 & 106408 & 73212.1714530933 & 33195.8285469067 \tabularnewline
43 & 96560 & 129224.164926966 & -32664.1649269663 \tabularnewline
44 & 265769 & 259908.357518544 & 5860.64248145648 \tabularnewline
45 & 269651 & 272550.410166908 & -2899.41016690761 \tabularnewline
46 & 149112 & 160072.839456041 & -10960.8394560408 \tabularnewline
47 & 175824 & 215473.27268757 & -39649.2726875703 \tabularnewline
48 & 152871 & 158110.371364409 & -5239.37136440919 \tabularnewline
49 & 111665 & 111217.531087965 & 447.468912035036 \tabularnewline
50 & 116408 & 242257.144014739 & -125849.144014739 \tabularnewline
51 & 362301 & 377786.146174911 & -15485.1461749107 \tabularnewline
52 & 78800 & 105139.151901686 & -26339.1519016864 \tabularnewline
53 & 183167 & 190340.401193573 & -7173.40119357274 \tabularnewline
54 & 277965 & 306136.728149923 & -28171.7281499226 \tabularnewline
55 & 150629 & 195977.42941308 & -45348.4294130804 \tabularnewline
56 & 168809 & 152719.856014233 & 16089.1439857671 \tabularnewline
57 & 24188 & 42011.7241993821 & -17823.7241993821 \tabularnewline
58 & 329267 & 277802.705869875 & 51464.2941301255 \tabularnewline
59 & 65029 & 68634.3215716793 & -3605.32157167928 \tabularnewline
60 & 101097 & 111549.141574118 & -10452.1415741181 \tabularnewline
61 & 218946 & 216440.17677607 & 2505.82322392982 \tabularnewline
62 & 244052 & 215323.482816474 & 28728.5171835259 \tabularnewline
63 & 341570 & 321040.475779869 & 20529.5242201312 \tabularnewline
64 & 103597 & 96700.1832708127 & 6896.81672918727 \tabularnewline
65 & 233328 & 242155.802479179 & -8827.80247917861 \tabularnewline
66 & 256462 & 243119.907740182 & 13342.0922598178 \tabularnewline
67 & 206161 & 169170.340587636 & 36990.6594123643 \tabularnewline
68 & 311473 & 290696.768028305 & 20776.2319716953 \tabularnewline
69 & 235800 & 245179.630092397 & -9379.63009239675 \tabularnewline
70 & 177939 & 213148.793558572 & -35209.7935585721 \tabularnewline
71 & 207176 & 194504.185813804 & 12671.8141861957 \tabularnewline
72 & 196553 & 165213.02423045 & 31339.9757695503 \tabularnewline
73 & 174184 & 126764.238372848 & 47419.7616271519 \tabularnewline
74 & 143246 & 168093.576519421 & -24847.5765194208 \tabularnewline
75 & 187559 & 210936.738008408 & -23377.7380084084 \tabularnewline
76 & 187681 & 194920.026240317 & -7239.02624031701 \tabularnewline
77 & 119016 & 136989.818378081 & -17973.8183780814 \tabularnewline
78 & 182192 & 179674.056027097 & 2517.9439729032 \tabularnewline
79 & 73566 & 96359.4235761549 & -22793.4235761549 \tabularnewline
80 & 194979 & 179128.99847574 & 15850.0015242604 \tabularnewline
81 & 167488 & 175072.097080072 & -7584.09708007247 \tabularnewline
82 & 143756 & 159310.513606639 & -15554.5136066393 \tabularnewline
83 & 275541 & 220273.003757263 & 55267.9962427375 \tabularnewline
84 & 243199 & 208062.641683538 & 35136.3583164624 \tabularnewline
85 & 182999 & 211150.027074879 & -28151.0270748792 \tabularnewline
86 & 135649 & 142844.420668146 & -7195.42066814646 \tabularnewline
87 & 152299 & 166445.619982323 & -14146.6199823225 \tabularnewline
88 & 120221 & 134344.021637589 & -14123.0216375888 \tabularnewline
89 & 346485 & 276816.552958684 & 69668.4470413164 \tabularnewline
90 & 145790 & 158521.145665563 & -12731.1456655632 \tabularnewline
91 & 193339 & 170008.9390295 & 23330.0609705004 \tabularnewline
92 & 80953 & 102893.41106264 & -21940.4110626401 \tabularnewline
93 & 122774 & 162443.578860834 & -39669.5788608341 \tabularnewline
94 & 130585 & 123741.621160943 & 6843.37883905709 \tabularnewline
95 & 112611 & 76935.6949907888 & 35675.3050092112 \tabularnewline
96 & 286468 & 297436.588081943 & -10968.5880819431 \tabularnewline
97 & 241066 & 223831.961704896 & 17234.0382951037 \tabularnewline
98 & 148446 & 266031.075437536 & -117585.075437536 \tabularnewline
99 & 204713 & 180770.871237653 & 23942.1287623472 \tabularnewline
100 & 182079 & 177190.30833978 & 4888.69166021981 \tabularnewline
101 & 140344 & 130304.674197303 & 10039.3258026973 \tabularnewline
102 & 220516 & 224091.201411236 & -3575.20141123562 \tabularnewline
103 & 243060 & 216092.816675126 & 26967.1833248737 \tabularnewline
104 & 162765 & 163586.096254886 & -821.096254885793 \tabularnewline
105 & 182613 & 169033.671137974 & 13579.3288620262 \tabularnewline
106 & 232138 & 216132.952152534 & 16005.047847466 \tabularnewline
107 & 265318 & 280235.789548327 & -14917.7895483271 \tabularnewline
108 & 85574 & 92432.4072388982 & -6858.40723889817 \tabularnewline
109 & 310839 & 286065.530019676 & 24773.4699803243 \tabularnewline
110 & 225060 & 217705.27833074 & 7354.72166926024 \tabularnewline
111 & 232317 & 219870.82761804 & 12446.17238196 \tabularnewline
112 & 144966 & 168948.642054292 & -23982.6420542917 \tabularnewline
113 & 43287 & 68355.3778076917 & -25068.3778076917 \tabularnewline
114 & 155754 & 145109.610780065 & 10644.3892199351 \tabularnewline
115 & 164709 & 194783.450431653 & -30074.4504316526 \tabularnewline
116 & 201940 & 227245.671031257 & -25305.6710312569 \tabularnewline
117 & 235454 & 227126.385920334 & 8327.61407966644 \tabularnewline
118 & 220801 & 165799.028376181 & 55001.9716238194 \tabularnewline
119 & 99466 & 155782.347116607 & -56316.3471166065 \tabularnewline
120 & 92661 & 122201.735836859 & -29540.7358368591 \tabularnewline
121 & 133328 & 128424.710393638 & 4903.28960636155 \tabularnewline
122 & 61361 & 103446.639432385 & -42085.6394323847 \tabularnewline
123 & 125930 & 151451.431490784 & -25521.4314907842 \tabularnewline
124 & 100750 & 175375.983054495 & -74625.9830544948 \tabularnewline
125 & 224549 & 166073.217400222 & 58475.7825997785 \tabularnewline
126 & 82316 & 50262.6542909944 & 32053.3457090056 \tabularnewline
127 & 102010 & 91374.7197726195 & 10635.2802273805 \tabularnewline
128 & 101523 & 104045.465360349 & -2522.4653603491 \tabularnewline
129 & 243511 & 210610.075705747 & 32900.924294253 \tabularnewline
130 & 22938 & 21296.3341672613 & 1641.66583273871 \tabularnewline
131 & 41566 & 42479.0806570132 & -913.080657013204 \tabularnewline
132 & 152474 & 176448.123108283 & -23974.1231082832 \tabularnewline
133 & 61857 & 49004.8909652224 & 12852.1090347776 \tabularnewline
134 & 99923 & 154059.946556478 & -54136.946556478 \tabularnewline
135 & 132487 & 139278.24183176 & -6791.24183175975 \tabularnewline
136 & 317394 & 254007.209019729 & 63386.7909802714 \tabularnewline
137 & 21054 & 20068.7417137399 & 985.258286260122 \tabularnewline
138 & 209641 & 182277.527649806 & 27363.4723501942 \tabularnewline
139 & 22648 & 56235.0480725586 & -33587.0480725586 \tabularnewline
140 & 31414 & 46659.4147949698 & -15245.4147949698 \tabularnewline
141 & 46698 & 65770.7035443571 & -19072.7035443571 \tabularnewline
142 & 131698 & 138225.946199167 & -6527.94619916676 \tabularnewline
143 & 91735 & 90453.2491364758 & 1281.75086352415 \tabularnewline
144 & 244749 & 250642.300002147 & -5893.30000214731 \tabularnewline
145 & 184510 & 182434.439585586 & 2075.56041441414 \tabularnewline
146 & 79863 & 109136.117379306 & -29273.1173793058 \tabularnewline
147 & 128423 & 147853.815731924 & -19430.8157319241 \tabularnewline
148 & 97839 & 138068.483232461 & -40229.4832324612 \tabularnewline
149 & 38214 & 61387.5563441989 & -23173.5563441989 \tabularnewline
150 & 151101 & 164485.372605489 & -13384.3726054895 \tabularnewline
151 & 272458 & 243523.197571098 & 28934.8024289023 \tabularnewline
152 & 172494 & 166250.458883209 & 6243.54111679075 \tabularnewline
153 & 108043 & 110852.876906022 & -2809.87690602232 \tabularnewline
154 & 328107 & 310853.112193865 & 17253.8878061352 \tabularnewline
155 & 250579 & 223716.127529154 & 26862.872470846 \tabularnewline
156 & 351067 & 327417.950839899 & 23649.049160101 \tabularnewline
157 & 158015 & 137838.508407627 & 20176.4915923727 \tabularnewline
158 & 98866 & 83170.1032188923 & 15695.8967811077 \tabularnewline
159 & 85439 & 121000.383339823 & -35561.3833398229 \tabularnewline
160 & 229242 & 252777.622357174 & -23535.6223571744 \tabularnewline
161 & 351619 & 335804.317658551 & 15814.682341449 \tabularnewline
162 & 84207 & 125687.049876893 & -41480.0498768933 \tabularnewline
163 & 120445 & 135959.949853867 & -15514.9498538674 \tabularnewline
164 & 324598 & 357811.159759033 & -33213.1597590327 \tabularnewline
165 & 131069 & 165976.341463638 & -34907.3414636382 \tabularnewline
166 & 204271 & 161713.262304768 & 42557.7376952319 \tabularnewline
167 & 165543 & 172598.04988144 & -7055.04988143959 \tabularnewline
168 & 141722 & 157663.521801584 & -15941.5218015842 \tabularnewline
169 & 116048 & 82974.1863966957 & 33073.8136033043 \tabularnewline
170 & 250047 & 172203.627895852 & 77843.3721041476 \tabularnewline
171 & 299775 & 310342.506423966 & -10567.5064239655 \tabularnewline
172 & 195838 & 185320.179562001 & 10517.8204379985 \tabularnewline
173 & 173260 & 166743.376780951 & 6516.62321904863 \tabularnewline
174 & 254488 & 217459.269230422 & 37028.7307695785 \tabularnewline
175 & 104389 & 179545.955341753 & -75156.9553417525 \tabularnewline
176 & 136084 & 132809.085293074 & 3274.91470692562 \tabularnewline
177 & 199476 & 246882.715549384 & -47406.7155493843 \tabularnewline
178 & 92499 & 81065.2161232502 & 11433.7838767498 \tabularnewline
179 & 224330 & 219955.068647813 & 4374.93135218734 \tabularnewline
180 & 135781 & 91440.8044885757 & 44340.1955114243 \tabularnewline
181 & 74408 & 91724.7390736227 & -17316.7390736227 \tabularnewline
182 & 81240 & 128262.02774884 & -47022.0277488404 \tabularnewline
183 & 14688 & 10281.8500342647 & 4406.14996573533 \tabularnewline
184 & 181633 & 169018.241277641 & 12614.7587223594 \tabularnewline
185 & 271856 & 229620.223729223 & 42235.7762707767 \tabularnewline
186 & 7199 & 5446.8190721827 & 1752.1809278173 \tabularnewline
187 & 46660 & 49182.5362907302 & -2522.53629073018 \tabularnewline
188 & 17547 & 6969.4467393715 & 10577.5532606285 \tabularnewline
189 & 133368 & 117135.706434199 & 16232.293565801 \tabularnewline
190 & 95227 & 100911.499643869 & -5684.49964386926 \tabularnewline
191 & 152601 & 136379.173569903 & 16221.8264300965 \tabularnewline
192 & 98146 & 106884.126897748 & -8738.12689774818 \tabularnewline
193 & 79619 & 86018.4734972741 & -6399.47349727408 \tabularnewline
194 & 59194 & 80765.4576901493 & -21571.4576901493 \tabularnewline
195 & 139942 & 135498.497184516 & 4443.50281548394 \tabularnewline
196 & 118612 & 98051.9593114467 & 20560.0406885533 \tabularnewline
197 & 72880 & 93184.0795067961 & -20304.0795067961 \tabularnewline
198 & 65475 & 68470.8705028934 & -2995.87050289345 \tabularnewline
199 & 99643 & 135493.389897666 & -35850.3898976655 \tabularnewline
200 & 71965 & 73898.7775287206 & -1933.77752872064 \tabularnewline
201 & 77272 & 66464.4826371275 & 10807.5173628725 \tabularnewline
202 & 49289 & 49792.273145148 & -503.273145148026 \tabularnewline
203 & 135131 & 117404.011555982 & 17726.988444018 \tabularnewline
204 & 108446 & 106503.681903715 & 1942.31809628539 \tabularnewline
205 & 89746 & 118789.290669976 & -29043.2906699757 \tabularnewline
206 & 44296 & 57188.328680236 & -12892.328680236 \tabularnewline
207 & 77648 & 75549.4186585675 & 2098.58134143246 \tabularnewline
208 & 181528 & 138932.670900955 & 42595.3290990447 \tabularnewline
209 & 134019 & 106691.448604264 & 27327.5513957363 \tabularnewline
210 & 124064 & 108849.021264384 & 15214.9787356157 \tabularnewline
211 & 92630 & 71795.2568313179 & 20834.7431686821 \tabularnewline
212 & 121848 & 88220.2724788344 & 33627.7275211656 \tabularnewline
213 & 52915 & 54316.9124398411 & -1401.91243984111 \tabularnewline
214 & 81872 & 72024.460300057 & 9847.53969994295 \tabularnewline
215 & 58981 & 96645.5013933864 & -37664.5013933864 \tabularnewline
216 & 53515 & 61959.9643181969 & -8444.96431819687 \tabularnewline
217 & 60812 & 90509.5217959919 & -29697.5217959919 \tabularnewline
218 & 56375 & 54049.6756453514 & 2325.32435464862 \tabularnewline
219 & 65490 & 53688.8165380161 & 11801.1834619839 \tabularnewline
220 & 80949 & 53729.2728976446 & 27219.7271023554 \tabularnewline
221 & 76302 & 89611.6420587009 & -13309.6420587009 \tabularnewline
222 & 104011 & 109784.031996021 & -5773.03199602052 \tabularnewline
223 & 98104 & 135973.865531341 & -37869.8655313415 \tabularnewline
224 & 67989 & 60550.8691281713 & 7438.13087182874 \tabularnewline
225 & 30989 & 31065.4552558053 & -76.4552558053421 \tabularnewline
226 & 135458 & 123201.379188997 & 12256.620811003 \tabularnewline
227 & 73504 & 58855.7819280163 & 14648.2180719837 \tabularnewline
228 & 63123 & 85090.6916521157 & -21967.6916521157 \tabularnewline
229 & 61254 & 78486.0535018028 & -17232.0535018028 \tabularnewline
230 & 74914 & 118846.950344129 & -43932.9503441285 \tabularnewline
231 & 31774 & 44573.2027408735 & -12799.2027408735 \tabularnewline
232 & 81437 & 78270.167812793 & 3166.83218720704 \tabularnewline
233 & 87186 & 124821.269856998 & -37635.2698569983 \tabularnewline
234 & 50090 & 60509.002163097 & -10419.002163097 \tabularnewline
235 & 65745 & 101110.458946134 & -35365.458946134 \tabularnewline
236 & 56653 & 62331.985159914 & -5678.98515991402 \tabularnewline
237 & 158399 & 107625.19914074 & 50773.8008592596 \tabularnewline
238 & 46455 & 53608.9626109312 & -7153.96261093117 \tabularnewline
239 & 73624 & 84465.9809297913 & -10841.9809297913 \tabularnewline
240 & 38395 & 58066.9633954196 & -19671.9633954196 \tabularnewline
241 & 91899 & 85752.605765931 & 6146.39423406903 \tabularnewline
242 & 139526 & 136541.830504318 & 2984.16949568211 \tabularnewline
243 & 52164 & 58897.9738174002 & -6733.97381740018 \tabularnewline
244 & 51567 & 55187.3349604493 & -3620.33496044926 \tabularnewline
245 & 70551 & 72957.4817097795 & -2406.48170977954 \tabularnewline
246 & 84856 & 95579.8917201286 & -10723.8917201286 \tabularnewline
247 & 102538 & 119035.283946676 & -16497.283946676 \tabularnewline
248 & 86678 & 68421.5239731016 & 18256.4760268984 \tabularnewline
249 & 85709 & 81770.9339019468 & 3938.06609805319 \tabularnewline
250 & 34662 & 52327.4730461089 & -17665.4730461089 \tabularnewline
251 & 150580 & 143311.983101855 & 7268.0168981455 \tabularnewline
252 & 99611 & 90574.5647679172 & 9036.43523208285 \tabularnewline
253 & 19349 & 1869.40315537934 & 17479.5968446207 \tabularnewline
254 & 99373 & 103551.434223667 & -4178.4342236668 \tabularnewline
255 & 86230 & 106195.432516407 & -19965.4325164072 \tabularnewline
256 & 30837 & 26243.2818406411 & 4593.71815935888 \tabularnewline
257 & 31706 & 41473.7800698417 & -9767.78006984172 \tabularnewline
258 & 89806 & 80047.7471117268 & 9758.25288827322 \tabularnewline
259 & 62088 & 48515.8928145862 & 13572.1071854138 \tabularnewline
260 & 40151 & 28760.1926034411 & 11390.8073965589 \tabularnewline
261 & 27634 & 47619.3269337073 & -19985.3269337073 \tabularnewline
262 & 76990 & 58651.1766005453 & 18338.8233994547 \tabularnewline
263 & 37460 & 24499.3799622032 & 12960.6200377968 \tabularnewline
264 & 54157 & 52524.7569752475 & 1632.24302475252 \tabularnewline
265 & 49862 & 63645.6944758479 & -13783.6944758479 \tabularnewline
266 & 84337 & 68140.6219934292 & 16196.3780065708 \tabularnewline
267 & 64175 & 74372.034818906 & -10197.034818906 \tabularnewline
268 & 59382 & 63600.0351401257 & -4218.03514012571 \tabularnewline
269 & 119308 & 65234.247461561 & 54073.752538439 \tabularnewline
270 & 76702 & 102973.690190407 & -26271.6901904069 \tabularnewline
271 & 103425 & 110253.527161475 & -6828.5271614751 \tabularnewline
272 & 70344 & 65119.9501722546 & 5224.0498277454 \tabularnewline
273 & 43410 & 40595.9916704878 & 2814.0083295122 \tabularnewline
274 & 104838 & 89198.1231734731 & 15639.8768265269 \tabularnewline
275 & 62215 & 45174.2298341494 & 17040.7701658506 \tabularnewline
276 & 69304 & 73741.2824479497 & -4437.28244794972 \tabularnewline
277 & 53117 & 41566.3000090141 & 11550.6999909859 \tabularnewline
278 & 19764 & 3993.90815798707 & 15770.0918420129 \tabularnewline
279 & 86680 & 78652.8273009012 & 8027.17269909878 \tabularnewline
280 & 84105 & 66167.5480096564 & 17937.4519903436 \tabularnewline
281 & 77945 & 77320.2461170214 & 624.753882978616 \tabularnewline
282 & 89113 & 96388.782056021 & -7275.78205602096 \tabularnewline
283 & 91005 & 90166.0283600106 & 838.971639989434 \tabularnewline
284 & 40248 & 25710.4646129419 & 14537.5353870581 \tabularnewline
285 & 64187 & 62916.9365178898 & 1270.06348211022 \tabularnewline
286 & 50857 & 61452.5344324151 & -10595.5344324151 \tabularnewline
287 & 56613 & 47863.6170937245 & 8749.38290627555 \tabularnewline
288 & 62792 & 57483.5797641616 & 5308.42023583837 \tabularnewline
289 & 72535 & 73923.50916791 & -1388.50916791002 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198374&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]153525.882055352[/C][C]57381.1179446481[/C][/ROW]
[ROW][C]2[/C][C]120982[/C][C]122493.908114021[/C][C]-1511.90811402056[/C][/ROW]
[ROW][C]3[/C][C]176508[/C][C]166006.829179607[/C][C]10501.1708203932[/C][/ROW]
[ROW][C]4[/C][C]179321[/C][C]254002.586511006[/C][C]-74681.5865110062[/C][/ROW]
[ROW][C]5[/C][C]123185[/C][C]92365.0311908454[/C][C]30819.9688091546[/C][/ROW]
[ROW][C]6[/C][C]52746[/C][C]81124.6157307624[/C][C]-28378.6157307623[/C][/ROW]
[ROW][C]7[/C][C]385534[/C][C]354816.409231087[/C][C]30717.590768913[/C][/ROW]
[ROW][C]8[/C][C]33170[/C][C]49666.2468581192[/C][C]-16496.2468581192[/C][/ROW]
[ROW][C]9[/C][C]101645[/C][C]86293.8736575349[/C][C]15351.1263424651[/C][/ROW]
[ROW][C]10[/C][C]149061[/C][C]184867.27187135[/C][C]-35806.2718713502[/C][/ROW]
[ROW][C]11[/C][C]165446[/C][C]143148.951684667[/C][C]22297.0483153334[/C][/ROW]
[ROW][C]12[/C][C]237213[/C][C]203838.607415332[/C][C]33374.3925846678[/C][/ROW]
[ROW][C]13[/C][C]173326[/C][C]173278.706810231[/C][C]47.2931897692595[/C][/ROW]
[ROW][C]14[/C][C]133131[/C][C]147643.125520218[/C][C]-14512.1255202181[/C][/ROW]
[ROW][C]15[/C][C]258873[/C][C]238032.71063051[/C][C]20840.2893694895[/C][/ROW]
[ROW][C]16[/C][C]180083[/C][C]147402.222503424[/C][C]32680.7774965762[/C][/ROW]
[ROW][C]17[/C][C]324799[/C][C]376760.214669197[/C][C]-51961.2146691968[/C][/ROW]
[ROW][C]18[/C][C]230964[/C][C]194373.794750969[/C][C]36590.2052490313[/C][/ROW]
[ROW][C]19[/C][C]236785[/C][C]245729.828042373[/C][C]-8944.82804237309[/C][/ROW]
[ROW][C]20[/C][C]135473[/C][C]137278.123819043[/C][C]-1805.12381904293[/C][/ROW]
[ROW][C]21[/C][C]202925[/C][C]186267.085609818[/C][C]16657.9143901822[/C][/ROW]
[ROW][C]22[/C][C]215147[/C][C]202989.407791625[/C][C]12157.5922083746[/C][/ROW]
[ROW][C]23[/C][C]344297[/C][C]238654.281556701[/C][C]105642.718443299[/C][/ROW]
[ROW][C]24[/C][C]153935[/C][C]119280.493473431[/C][C]34654.5065265693[/C][/ROW]
[ROW][C]25[/C][C]132943[/C][C]152707.264096613[/C][C]-19764.2640966134[/C][/ROW]
[ROW][C]26[/C][C]174724[/C][C]252148.812271141[/C][C]-77424.8122711407[/C][/ROW]
[ROW][C]27[/C][C]174415[/C][C]227911.768874072[/C][C]-53496.768874072[/C][/ROW]
[ROW][C]28[/C][C]225548[/C][C]238897.239442019[/C][C]-13349.2394420188[/C][/ROW]
[ROW][C]29[/C][C]223632[/C][C]172340.586054709[/C][C]51291.4139452911[/C][/ROW]
[ROW][C]30[/C][C]124817[/C][C]128311.469352863[/C][C]-3494.469352863[/C][/ROW]
[ROW][C]31[/C][C]221698[/C][C]194201.605500887[/C][C]27496.3944991129[/C][/ROW]
[ROW][C]32[/C][C]210767[/C][C]204551.442420797[/C][C]6215.55757920294[/C][/ROW]
[ROW][C]33[/C][C]170266[/C][C]180207.442179433[/C][C]-9941.44217943315[/C][/ROW]
[ROW][C]34[/C][C]260561[/C][C]211073.372139897[/C][C]49487.6278601027[/C][/ROW]
[ROW][C]35[/C][C]84853[/C][C]104424.80669245[/C][C]-19571.8066924501[/C][/ROW]
[ROW][C]36[/C][C]294424[/C][C]259312.090024122[/C][C]35111.9099758781[/C][/ROW]
[ROW][C]37[/C][C]101011[/C][C]69597.931777445[/C][C]31413.068222555[/C][/ROW]
[ROW][C]38[/C][C]215641[/C][C]206963.504967259[/C][C]8677.49503274054[/C][/ROW]
[ROW][C]39[/C][C]325107[/C][C]256107.130698752[/C][C]68999.8693012477[/C][/ROW]
[ROW][C]40[/C][C]7176[/C][C]8106.54727995267[/C][C]-930.547279952673[/C][/ROW]
[ROW][C]41[/C][C]167542[/C][C]152220.761504956[/C][C]15321.2384950443[/C][/ROW]
[ROW][C]42[/C][C]106408[/C][C]73212.1714530933[/C][C]33195.8285469067[/C][/ROW]
[ROW][C]43[/C][C]96560[/C][C]129224.164926966[/C][C]-32664.1649269663[/C][/ROW]
[ROW][C]44[/C][C]265769[/C][C]259908.357518544[/C][C]5860.64248145648[/C][/ROW]
[ROW][C]45[/C][C]269651[/C][C]272550.410166908[/C][C]-2899.41016690761[/C][/ROW]
[ROW][C]46[/C][C]149112[/C][C]160072.839456041[/C][C]-10960.8394560408[/C][/ROW]
[ROW][C]47[/C][C]175824[/C][C]215473.27268757[/C][C]-39649.2726875703[/C][/ROW]
[ROW][C]48[/C][C]152871[/C][C]158110.371364409[/C][C]-5239.37136440919[/C][/ROW]
[ROW][C]49[/C][C]111665[/C][C]111217.531087965[/C][C]447.468912035036[/C][/ROW]
[ROW][C]50[/C][C]116408[/C][C]242257.144014739[/C][C]-125849.144014739[/C][/ROW]
[ROW][C]51[/C][C]362301[/C][C]377786.146174911[/C][C]-15485.1461749107[/C][/ROW]
[ROW][C]52[/C][C]78800[/C][C]105139.151901686[/C][C]-26339.1519016864[/C][/ROW]
[ROW][C]53[/C][C]183167[/C][C]190340.401193573[/C][C]-7173.40119357274[/C][/ROW]
[ROW][C]54[/C][C]277965[/C][C]306136.728149923[/C][C]-28171.7281499226[/C][/ROW]
[ROW][C]55[/C][C]150629[/C][C]195977.42941308[/C][C]-45348.4294130804[/C][/ROW]
[ROW][C]56[/C][C]168809[/C][C]152719.856014233[/C][C]16089.1439857671[/C][/ROW]
[ROW][C]57[/C][C]24188[/C][C]42011.7241993821[/C][C]-17823.7241993821[/C][/ROW]
[ROW][C]58[/C][C]329267[/C][C]277802.705869875[/C][C]51464.2941301255[/C][/ROW]
[ROW][C]59[/C][C]65029[/C][C]68634.3215716793[/C][C]-3605.32157167928[/C][/ROW]
[ROW][C]60[/C][C]101097[/C][C]111549.141574118[/C][C]-10452.1415741181[/C][/ROW]
[ROW][C]61[/C][C]218946[/C][C]216440.17677607[/C][C]2505.82322392982[/C][/ROW]
[ROW][C]62[/C][C]244052[/C][C]215323.482816474[/C][C]28728.5171835259[/C][/ROW]
[ROW][C]63[/C][C]341570[/C][C]321040.475779869[/C][C]20529.5242201312[/C][/ROW]
[ROW][C]64[/C][C]103597[/C][C]96700.1832708127[/C][C]6896.81672918727[/C][/ROW]
[ROW][C]65[/C][C]233328[/C][C]242155.802479179[/C][C]-8827.80247917861[/C][/ROW]
[ROW][C]66[/C][C]256462[/C][C]243119.907740182[/C][C]13342.0922598178[/C][/ROW]
[ROW][C]67[/C][C]206161[/C][C]169170.340587636[/C][C]36990.6594123643[/C][/ROW]
[ROW][C]68[/C][C]311473[/C][C]290696.768028305[/C][C]20776.2319716953[/C][/ROW]
[ROW][C]69[/C][C]235800[/C][C]245179.630092397[/C][C]-9379.63009239675[/C][/ROW]
[ROW][C]70[/C][C]177939[/C][C]213148.793558572[/C][C]-35209.7935585721[/C][/ROW]
[ROW][C]71[/C][C]207176[/C][C]194504.185813804[/C][C]12671.8141861957[/C][/ROW]
[ROW][C]72[/C][C]196553[/C][C]165213.02423045[/C][C]31339.9757695503[/C][/ROW]
[ROW][C]73[/C][C]174184[/C][C]126764.238372848[/C][C]47419.7616271519[/C][/ROW]
[ROW][C]74[/C][C]143246[/C][C]168093.576519421[/C][C]-24847.5765194208[/C][/ROW]
[ROW][C]75[/C][C]187559[/C][C]210936.738008408[/C][C]-23377.7380084084[/C][/ROW]
[ROW][C]76[/C][C]187681[/C][C]194920.026240317[/C][C]-7239.02624031701[/C][/ROW]
[ROW][C]77[/C][C]119016[/C][C]136989.818378081[/C][C]-17973.8183780814[/C][/ROW]
[ROW][C]78[/C][C]182192[/C][C]179674.056027097[/C][C]2517.9439729032[/C][/ROW]
[ROW][C]79[/C][C]73566[/C][C]96359.4235761549[/C][C]-22793.4235761549[/C][/ROW]
[ROW][C]80[/C][C]194979[/C][C]179128.99847574[/C][C]15850.0015242604[/C][/ROW]
[ROW][C]81[/C][C]167488[/C][C]175072.097080072[/C][C]-7584.09708007247[/C][/ROW]
[ROW][C]82[/C][C]143756[/C][C]159310.513606639[/C][C]-15554.5136066393[/C][/ROW]
[ROW][C]83[/C][C]275541[/C][C]220273.003757263[/C][C]55267.9962427375[/C][/ROW]
[ROW][C]84[/C][C]243199[/C][C]208062.641683538[/C][C]35136.3583164624[/C][/ROW]
[ROW][C]85[/C][C]182999[/C][C]211150.027074879[/C][C]-28151.0270748792[/C][/ROW]
[ROW][C]86[/C][C]135649[/C][C]142844.420668146[/C][C]-7195.42066814646[/C][/ROW]
[ROW][C]87[/C][C]152299[/C][C]166445.619982323[/C][C]-14146.6199823225[/C][/ROW]
[ROW][C]88[/C][C]120221[/C][C]134344.021637589[/C][C]-14123.0216375888[/C][/ROW]
[ROW][C]89[/C][C]346485[/C][C]276816.552958684[/C][C]69668.4470413164[/C][/ROW]
[ROW][C]90[/C][C]145790[/C][C]158521.145665563[/C][C]-12731.1456655632[/C][/ROW]
[ROW][C]91[/C][C]193339[/C][C]170008.9390295[/C][C]23330.0609705004[/C][/ROW]
[ROW][C]92[/C][C]80953[/C][C]102893.41106264[/C][C]-21940.4110626401[/C][/ROW]
[ROW][C]93[/C][C]122774[/C][C]162443.578860834[/C][C]-39669.5788608341[/C][/ROW]
[ROW][C]94[/C][C]130585[/C][C]123741.621160943[/C][C]6843.37883905709[/C][/ROW]
[ROW][C]95[/C][C]112611[/C][C]76935.6949907888[/C][C]35675.3050092112[/C][/ROW]
[ROW][C]96[/C][C]286468[/C][C]297436.588081943[/C][C]-10968.5880819431[/C][/ROW]
[ROW][C]97[/C][C]241066[/C][C]223831.961704896[/C][C]17234.0382951037[/C][/ROW]
[ROW][C]98[/C][C]148446[/C][C]266031.075437536[/C][C]-117585.075437536[/C][/ROW]
[ROW][C]99[/C][C]204713[/C][C]180770.871237653[/C][C]23942.1287623472[/C][/ROW]
[ROW][C]100[/C][C]182079[/C][C]177190.30833978[/C][C]4888.69166021981[/C][/ROW]
[ROW][C]101[/C][C]140344[/C][C]130304.674197303[/C][C]10039.3258026973[/C][/ROW]
[ROW][C]102[/C][C]220516[/C][C]224091.201411236[/C][C]-3575.20141123562[/C][/ROW]
[ROW][C]103[/C][C]243060[/C][C]216092.816675126[/C][C]26967.1833248737[/C][/ROW]
[ROW][C]104[/C][C]162765[/C][C]163586.096254886[/C][C]-821.096254885793[/C][/ROW]
[ROW][C]105[/C][C]182613[/C][C]169033.671137974[/C][C]13579.3288620262[/C][/ROW]
[ROW][C]106[/C][C]232138[/C][C]216132.952152534[/C][C]16005.047847466[/C][/ROW]
[ROW][C]107[/C][C]265318[/C][C]280235.789548327[/C][C]-14917.7895483271[/C][/ROW]
[ROW][C]108[/C][C]85574[/C][C]92432.4072388982[/C][C]-6858.40723889817[/C][/ROW]
[ROW][C]109[/C][C]310839[/C][C]286065.530019676[/C][C]24773.4699803243[/C][/ROW]
[ROW][C]110[/C][C]225060[/C][C]217705.27833074[/C][C]7354.72166926024[/C][/ROW]
[ROW][C]111[/C][C]232317[/C][C]219870.82761804[/C][C]12446.17238196[/C][/ROW]
[ROW][C]112[/C][C]144966[/C][C]168948.642054292[/C][C]-23982.6420542917[/C][/ROW]
[ROW][C]113[/C][C]43287[/C][C]68355.3778076917[/C][C]-25068.3778076917[/C][/ROW]
[ROW][C]114[/C][C]155754[/C][C]145109.610780065[/C][C]10644.3892199351[/C][/ROW]
[ROW][C]115[/C][C]164709[/C][C]194783.450431653[/C][C]-30074.4504316526[/C][/ROW]
[ROW][C]116[/C][C]201940[/C][C]227245.671031257[/C][C]-25305.6710312569[/C][/ROW]
[ROW][C]117[/C][C]235454[/C][C]227126.385920334[/C][C]8327.61407966644[/C][/ROW]
[ROW][C]118[/C][C]220801[/C][C]165799.028376181[/C][C]55001.9716238194[/C][/ROW]
[ROW][C]119[/C][C]99466[/C][C]155782.347116607[/C][C]-56316.3471166065[/C][/ROW]
[ROW][C]120[/C][C]92661[/C][C]122201.735836859[/C][C]-29540.7358368591[/C][/ROW]
[ROW][C]121[/C][C]133328[/C][C]128424.710393638[/C][C]4903.28960636155[/C][/ROW]
[ROW][C]122[/C][C]61361[/C][C]103446.639432385[/C][C]-42085.6394323847[/C][/ROW]
[ROW][C]123[/C][C]125930[/C][C]151451.431490784[/C][C]-25521.4314907842[/C][/ROW]
[ROW][C]124[/C][C]100750[/C][C]175375.983054495[/C][C]-74625.9830544948[/C][/ROW]
[ROW][C]125[/C][C]224549[/C][C]166073.217400222[/C][C]58475.7825997785[/C][/ROW]
[ROW][C]126[/C][C]82316[/C][C]50262.6542909944[/C][C]32053.3457090056[/C][/ROW]
[ROW][C]127[/C][C]102010[/C][C]91374.7197726195[/C][C]10635.2802273805[/C][/ROW]
[ROW][C]128[/C][C]101523[/C][C]104045.465360349[/C][C]-2522.4653603491[/C][/ROW]
[ROW][C]129[/C][C]243511[/C][C]210610.075705747[/C][C]32900.924294253[/C][/ROW]
[ROW][C]130[/C][C]22938[/C][C]21296.3341672613[/C][C]1641.66583273871[/C][/ROW]
[ROW][C]131[/C][C]41566[/C][C]42479.0806570132[/C][C]-913.080657013204[/C][/ROW]
[ROW][C]132[/C][C]152474[/C][C]176448.123108283[/C][C]-23974.1231082832[/C][/ROW]
[ROW][C]133[/C][C]61857[/C][C]49004.8909652224[/C][C]12852.1090347776[/C][/ROW]
[ROW][C]134[/C][C]99923[/C][C]154059.946556478[/C][C]-54136.946556478[/C][/ROW]
[ROW][C]135[/C][C]132487[/C][C]139278.24183176[/C][C]-6791.24183175975[/C][/ROW]
[ROW][C]136[/C][C]317394[/C][C]254007.209019729[/C][C]63386.7909802714[/C][/ROW]
[ROW][C]137[/C][C]21054[/C][C]20068.7417137399[/C][C]985.258286260122[/C][/ROW]
[ROW][C]138[/C][C]209641[/C][C]182277.527649806[/C][C]27363.4723501942[/C][/ROW]
[ROW][C]139[/C][C]22648[/C][C]56235.0480725586[/C][C]-33587.0480725586[/C][/ROW]
[ROW][C]140[/C][C]31414[/C][C]46659.4147949698[/C][C]-15245.4147949698[/C][/ROW]
[ROW][C]141[/C][C]46698[/C][C]65770.7035443571[/C][C]-19072.7035443571[/C][/ROW]
[ROW][C]142[/C][C]131698[/C][C]138225.946199167[/C][C]-6527.94619916676[/C][/ROW]
[ROW][C]143[/C][C]91735[/C][C]90453.2491364758[/C][C]1281.75086352415[/C][/ROW]
[ROW][C]144[/C][C]244749[/C][C]250642.300002147[/C][C]-5893.30000214731[/C][/ROW]
[ROW][C]145[/C][C]184510[/C][C]182434.439585586[/C][C]2075.56041441414[/C][/ROW]
[ROW][C]146[/C][C]79863[/C][C]109136.117379306[/C][C]-29273.1173793058[/C][/ROW]
[ROW][C]147[/C][C]128423[/C][C]147853.815731924[/C][C]-19430.8157319241[/C][/ROW]
[ROW][C]148[/C][C]97839[/C][C]138068.483232461[/C][C]-40229.4832324612[/C][/ROW]
[ROW][C]149[/C][C]38214[/C][C]61387.5563441989[/C][C]-23173.5563441989[/C][/ROW]
[ROW][C]150[/C][C]151101[/C][C]164485.372605489[/C][C]-13384.3726054895[/C][/ROW]
[ROW][C]151[/C][C]272458[/C][C]243523.197571098[/C][C]28934.8024289023[/C][/ROW]
[ROW][C]152[/C][C]172494[/C][C]166250.458883209[/C][C]6243.54111679075[/C][/ROW]
[ROW][C]153[/C][C]108043[/C][C]110852.876906022[/C][C]-2809.87690602232[/C][/ROW]
[ROW][C]154[/C][C]328107[/C][C]310853.112193865[/C][C]17253.8878061352[/C][/ROW]
[ROW][C]155[/C][C]250579[/C][C]223716.127529154[/C][C]26862.872470846[/C][/ROW]
[ROW][C]156[/C][C]351067[/C][C]327417.950839899[/C][C]23649.049160101[/C][/ROW]
[ROW][C]157[/C][C]158015[/C][C]137838.508407627[/C][C]20176.4915923727[/C][/ROW]
[ROW][C]158[/C][C]98866[/C][C]83170.1032188923[/C][C]15695.8967811077[/C][/ROW]
[ROW][C]159[/C][C]85439[/C][C]121000.383339823[/C][C]-35561.3833398229[/C][/ROW]
[ROW][C]160[/C][C]229242[/C][C]252777.622357174[/C][C]-23535.6223571744[/C][/ROW]
[ROW][C]161[/C][C]351619[/C][C]335804.317658551[/C][C]15814.682341449[/C][/ROW]
[ROW][C]162[/C][C]84207[/C][C]125687.049876893[/C][C]-41480.0498768933[/C][/ROW]
[ROW][C]163[/C][C]120445[/C][C]135959.949853867[/C][C]-15514.9498538674[/C][/ROW]
[ROW][C]164[/C][C]324598[/C][C]357811.159759033[/C][C]-33213.1597590327[/C][/ROW]
[ROW][C]165[/C][C]131069[/C][C]165976.341463638[/C][C]-34907.3414636382[/C][/ROW]
[ROW][C]166[/C][C]204271[/C][C]161713.262304768[/C][C]42557.7376952319[/C][/ROW]
[ROW][C]167[/C][C]165543[/C][C]172598.04988144[/C][C]-7055.04988143959[/C][/ROW]
[ROW][C]168[/C][C]141722[/C][C]157663.521801584[/C][C]-15941.5218015842[/C][/ROW]
[ROW][C]169[/C][C]116048[/C][C]82974.1863966957[/C][C]33073.8136033043[/C][/ROW]
[ROW][C]170[/C][C]250047[/C][C]172203.627895852[/C][C]77843.3721041476[/C][/ROW]
[ROW][C]171[/C][C]299775[/C][C]310342.506423966[/C][C]-10567.5064239655[/C][/ROW]
[ROW][C]172[/C][C]195838[/C][C]185320.179562001[/C][C]10517.8204379985[/C][/ROW]
[ROW][C]173[/C][C]173260[/C][C]166743.376780951[/C][C]6516.62321904863[/C][/ROW]
[ROW][C]174[/C][C]254488[/C][C]217459.269230422[/C][C]37028.7307695785[/C][/ROW]
[ROW][C]175[/C][C]104389[/C][C]179545.955341753[/C][C]-75156.9553417525[/C][/ROW]
[ROW][C]176[/C][C]136084[/C][C]132809.085293074[/C][C]3274.91470692562[/C][/ROW]
[ROW][C]177[/C][C]199476[/C][C]246882.715549384[/C][C]-47406.7155493843[/C][/ROW]
[ROW][C]178[/C][C]92499[/C][C]81065.2161232502[/C][C]11433.7838767498[/C][/ROW]
[ROW][C]179[/C][C]224330[/C][C]219955.068647813[/C][C]4374.93135218734[/C][/ROW]
[ROW][C]180[/C][C]135781[/C][C]91440.8044885757[/C][C]44340.1955114243[/C][/ROW]
[ROW][C]181[/C][C]74408[/C][C]91724.7390736227[/C][C]-17316.7390736227[/C][/ROW]
[ROW][C]182[/C][C]81240[/C][C]128262.02774884[/C][C]-47022.0277488404[/C][/ROW]
[ROW][C]183[/C][C]14688[/C][C]10281.8500342647[/C][C]4406.14996573533[/C][/ROW]
[ROW][C]184[/C][C]181633[/C][C]169018.241277641[/C][C]12614.7587223594[/C][/ROW]
[ROW][C]185[/C][C]271856[/C][C]229620.223729223[/C][C]42235.7762707767[/C][/ROW]
[ROW][C]186[/C][C]7199[/C][C]5446.8190721827[/C][C]1752.1809278173[/C][/ROW]
[ROW][C]187[/C][C]46660[/C][C]49182.5362907302[/C][C]-2522.53629073018[/C][/ROW]
[ROW][C]188[/C][C]17547[/C][C]6969.4467393715[/C][C]10577.5532606285[/C][/ROW]
[ROW][C]189[/C][C]133368[/C][C]117135.706434199[/C][C]16232.293565801[/C][/ROW]
[ROW][C]190[/C][C]95227[/C][C]100911.499643869[/C][C]-5684.49964386926[/C][/ROW]
[ROW][C]191[/C][C]152601[/C][C]136379.173569903[/C][C]16221.8264300965[/C][/ROW]
[ROW][C]192[/C][C]98146[/C][C]106884.126897748[/C][C]-8738.12689774818[/C][/ROW]
[ROW][C]193[/C][C]79619[/C][C]86018.4734972741[/C][C]-6399.47349727408[/C][/ROW]
[ROW][C]194[/C][C]59194[/C][C]80765.4576901493[/C][C]-21571.4576901493[/C][/ROW]
[ROW][C]195[/C][C]139942[/C][C]135498.497184516[/C][C]4443.50281548394[/C][/ROW]
[ROW][C]196[/C][C]118612[/C][C]98051.9593114467[/C][C]20560.0406885533[/C][/ROW]
[ROW][C]197[/C][C]72880[/C][C]93184.0795067961[/C][C]-20304.0795067961[/C][/ROW]
[ROW][C]198[/C][C]65475[/C][C]68470.8705028934[/C][C]-2995.87050289345[/C][/ROW]
[ROW][C]199[/C][C]99643[/C][C]135493.389897666[/C][C]-35850.3898976655[/C][/ROW]
[ROW][C]200[/C][C]71965[/C][C]73898.7775287206[/C][C]-1933.77752872064[/C][/ROW]
[ROW][C]201[/C][C]77272[/C][C]66464.4826371275[/C][C]10807.5173628725[/C][/ROW]
[ROW][C]202[/C][C]49289[/C][C]49792.273145148[/C][C]-503.273145148026[/C][/ROW]
[ROW][C]203[/C][C]135131[/C][C]117404.011555982[/C][C]17726.988444018[/C][/ROW]
[ROW][C]204[/C][C]108446[/C][C]106503.681903715[/C][C]1942.31809628539[/C][/ROW]
[ROW][C]205[/C][C]89746[/C][C]118789.290669976[/C][C]-29043.2906699757[/C][/ROW]
[ROW][C]206[/C][C]44296[/C][C]57188.328680236[/C][C]-12892.328680236[/C][/ROW]
[ROW][C]207[/C][C]77648[/C][C]75549.4186585675[/C][C]2098.58134143246[/C][/ROW]
[ROW][C]208[/C][C]181528[/C][C]138932.670900955[/C][C]42595.3290990447[/C][/ROW]
[ROW][C]209[/C][C]134019[/C][C]106691.448604264[/C][C]27327.5513957363[/C][/ROW]
[ROW][C]210[/C][C]124064[/C][C]108849.021264384[/C][C]15214.9787356157[/C][/ROW]
[ROW][C]211[/C][C]92630[/C][C]71795.2568313179[/C][C]20834.7431686821[/C][/ROW]
[ROW][C]212[/C][C]121848[/C][C]88220.2724788344[/C][C]33627.7275211656[/C][/ROW]
[ROW][C]213[/C][C]52915[/C][C]54316.9124398411[/C][C]-1401.91243984111[/C][/ROW]
[ROW][C]214[/C][C]81872[/C][C]72024.460300057[/C][C]9847.53969994295[/C][/ROW]
[ROW][C]215[/C][C]58981[/C][C]96645.5013933864[/C][C]-37664.5013933864[/C][/ROW]
[ROW][C]216[/C][C]53515[/C][C]61959.9643181969[/C][C]-8444.96431819687[/C][/ROW]
[ROW][C]217[/C][C]60812[/C][C]90509.5217959919[/C][C]-29697.5217959919[/C][/ROW]
[ROW][C]218[/C][C]56375[/C][C]54049.6756453514[/C][C]2325.32435464862[/C][/ROW]
[ROW][C]219[/C][C]65490[/C][C]53688.8165380161[/C][C]11801.1834619839[/C][/ROW]
[ROW][C]220[/C][C]80949[/C][C]53729.2728976446[/C][C]27219.7271023554[/C][/ROW]
[ROW][C]221[/C][C]76302[/C][C]89611.6420587009[/C][C]-13309.6420587009[/C][/ROW]
[ROW][C]222[/C][C]104011[/C][C]109784.031996021[/C][C]-5773.03199602052[/C][/ROW]
[ROW][C]223[/C][C]98104[/C][C]135973.865531341[/C][C]-37869.8655313415[/C][/ROW]
[ROW][C]224[/C][C]67989[/C][C]60550.8691281713[/C][C]7438.13087182874[/C][/ROW]
[ROW][C]225[/C][C]30989[/C][C]31065.4552558053[/C][C]-76.4552558053421[/C][/ROW]
[ROW][C]226[/C][C]135458[/C][C]123201.379188997[/C][C]12256.620811003[/C][/ROW]
[ROW][C]227[/C][C]73504[/C][C]58855.7819280163[/C][C]14648.2180719837[/C][/ROW]
[ROW][C]228[/C][C]63123[/C][C]85090.6916521157[/C][C]-21967.6916521157[/C][/ROW]
[ROW][C]229[/C][C]61254[/C][C]78486.0535018028[/C][C]-17232.0535018028[/C][/ROW]
[ROW][C]230[/C][C]74914[/C][C]118846.950344129[/C][C]-43932.9503441285[/C][/ROW]
[ROW][C]231[/C][C]31774[/C][C]44573.2027408735[/C][C]-12799.2027408735[/C][/ROW]
[ROW][C]232[/C][C]81437[/C][C]78270.167812793[/C][C]3166.83218720704[/C][/ROW]
[ROW][C]233[/C][C]87186[/C][C]124821.269856998[/C][C]-37635.2698569983[/C][/ROW]
[ROW][C]234[/C][C]50090[/C][C]60509.002163097[/C][C]-10419.002163097[/C][/ROW]
[ROW][C]235[/C][C]65745[/C][C]101110.458946134[/C][C]-35365.458946134[/C][/ROW]
[ROW][C]236[/C][C]56653[/C][C]62331.985159914[/C][C]-5678.98515991402[/C][/ROW]
[ROW][C]237[/C][C]158399[/C][C]107625.19914074[/C][C]50773.8008592596[/C][/ROW]
[ROW][C]238[/C][C]46455[/C][C]53608.9626109312[/C][C]-7153.96261093117[/C][/ROW]
[ROW][C]239[/C][C]73624[/C][C]84465.9809297913[/C][C]-10841.9809297913[/C][/ROW]
[ROW][C]240[/C][C]38395[/C][C]58066.9633954196[/C][C]-19671.9633954196[/C][/ROW]
[ROW][C]241[/C][C]91899[/C][C]85752.605765931[/C][C]6146.39423406903[/C][/ROW]
[ROW][C]242[/C][C]139526[/C][C]136541.830504318[/C][C]2984.16949568211[/C][/ROW]
[ROW][C]243[/C][C]52164[/C][C]58897.9738174002[/C][C]-6733.97381740018[/C][/ROW]
[ROW][C]244[/C][C]51567[/C][C]55187.3349604493[/C][C]-3620.33496044926[/C][/ROW]
[ROW][C]245[/C][C]70551[/C][C]72957.4817097795[/C][C]-2406.48170977954[/C][/ROW]
[ROW][C]246[/C][C]84856[/C][C]95579.8917201286[/C][C]-10723.8917201286[/C][/ROW]
[ROW][C]247[/C][C]102538[/C][C]119035.283946676[/C][C]-16497.283946676[/C][/ROW]
[ROW][C]248[/C][C]86678[/C][C]68421.5239731016[/C][C]18256.4760268984[/C][/ROW]
[ROW][C]249[/C][C]85709[/C][C]81770.9339019468[/C][C]3938.06609805319[/C][/ROW]
[ROW][C]250[/C][C]34662[/C][C]52327.4730461089[/C][C]-17665.4730461089[/C][/ROW]
[ROW][C]251[/C][C]150580[/C][C]143311.983101855[/C][C]7268.0168981455[/C][/ROW]
[ROW][C]252[/C][C]99611[/C][C]90574.5647679172[/C][C]9036.43523208285[/C][/ROW]
[ROW][C]253[/C][C]19349[/C][C]1869.40315537934[/C][C]17479.5968446207[/C][/ROW]
[ROW][C]254[/C][C]99373[/C][C]103551.434223667[/C][C]-4178.4342236668[/C][/ROW]
[ROW][C]255[/C][C]86230[/C][C]106195.432516407[/C][C]-19965.4325164072[/C][/ROW]
[ROW][C]256[/C][C]30837[/C][C]26243.2818406411[/C][C]4593.71815935888[/C][/ROW]
[ROW][C]257[/C][C]31706[/C][C]41473.7800698417[/C][C]-9767.78006984172[/C][/ROW]
[ROW][C]258[/C][C]89806[/C][C]80047.7471117268[/C][C]9758.25288827322[/C][/ROW]
[ROW][C]259[/C][C]62088[/C][C]48515.8928145862[/C][C]13572.1071854138[/C][/ROW]
[ROW][C]260[/C][C]40151[/C][C]28760.1926034411[/C][C]11390.8073965589[/C][/ROW]
[ROW][C]261[/C][C]27634[/C][C]47619.3269337073[/C][C]-19985.3269337073[/C][/ROW]
[ROW][C]262[/C][C]76990[/C][C]58651.1766005453[/C][C]18338.8233994547[/C][/ROW]
[ROW][C]263[/C][C]37460[/C][C]24499.3799622032[/C][C]12960.6200377968[/C][/ROW]
[ROW][C]264[/C][C]54157[/C][C]52524.7569752475[/C][C]1632.24302475252[/C][/ROW]
[ROW][C]265[/C][C]49862[/C][C]63645.6944758479[/C][C]-13783.6944758479[/C][/ROW]
[ROW][C]266[/C][C]84337[/C][C]68140.6219934292[/C][C]16196.3780065708[/C][/ROW]
[ROW][C]267[/C][C]64175[/C][C]74372.034818906[/C][C]-10197.034818906[/C][/ROW]
[ROW][C]268[/C][C]59382[/C][C]63600.0351401257[/C][C]-4218.03514012571[/C][/ROW]
[ROW][C]269[/C][C]119308[/C][C]65234.247461561[/C][C]54073.752538439[/C][/ROW]
[ROW][C]270[/C][C]76702[/C][C]102973.690190407[/C][C]-26271.6901904069[/C][/ROW]
[ROW][C]271[/C][C]103425[/C][C]110253.527161475[/C][C]-6828.5271614751[/C][/ROW]
[ROW][C]272[/C][C]70344[/C][C]65119.9501722546[/C][C]5224.0498277454[/C][/ROW]
[ROW][C]273[/C][C]43410[/C][C]40595.9916704878[/C][C]2814.0083295122[/C][/ROW]
[ROW][C]274[/C][C]104838[/C][C]89198.1231734731[/C][C]15639.8768265269[/C][/ROW]
[ROW][C]275[/C][C]62215[/C][C]45174.2298341494[/C][C]17040.7701658506[/C][/ROW]
[ROW][C]276[/C][C]69304[/C][C]73741.2824479497[/C][C]-4437.28244794972[/C][/ROW]
[ROW][C]277[/C][C]53117[/C][C]41566.3000090141[/C][C]11550.6999909859[/C][/ROW]
[ROW][C]278[/C][C]19764[/C][C]3993.90815798707[/C][C]15770.0918420129[/C][/ROW]
[ROW][C]279[/C][C]86680[/C][C]78652.8273009012[/C][C]8027.17269909878[/C][/ROW]
[ROW][C]280[/C][C]84105[/C][C]66167.5480096564[/C][C]17937.4519903436[/C][/ROW]
[ROW][C]281[/C][C]77945[/C][C]77320.2461170214[/C][C]624.753882978616[/C][/ROW]
[ROW][C]282[/C][C]89113[/C][C]96388.782056021[/C][C]-7275.78205602096[/C][/ROW]
[ROW][C]283[/C][C]91005[/C][C]90166.0283600106[/C][C]838.971639989434[/C][/ROW]
[ROW][C]284[/C][C]40248[/C][C]25710.4646129419[/C][C]14537.5353870581[/C][/ROW]
[ROW][C]285[/C][C]64187[/C][C]62916.9365178898[/C][C]1270.06348211022[/C][/ROW]
[ROW][C]286[/C][C]50857[/C][C]61452.5344324151[/C][C]-10595.5344324151[/C][/ROW]
[ROW][C]287[/C][C]56613[/C][C]47863.6170937245[/C][C]8749.38290627555[/C][/ROW]
[ROW][C]288[/C][C]62792[/C][C]57483.5797641616[/C][C]5308.42023583837[/C][/ROW]
[ROW][C]289[/C][C]72535[/C][C]73923.50916791[/C][C]-1388.50916791002[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198374&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198374&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
1210907153525.88205535257381.1179446481
2120982122493.908114021-1511.90811402056
3176508166006.82917960710501.1708203932
4179321254002.586511006-74681.5865110062
512318592365.031190845430819.9688091546
65274681124.6157307624-28378.6157307623
7385534354816.40923108730717.590768913
83317049666.2468581192-16496.2468581192
910164586293.873657534915351.1263424651
10149061184867.27187135-35806.2718713502
11165446143148.95168466722297.0483153334
12237213203838.60741533233374.3925846678
13173326173278.70681023147.2931897692595
14133131147643.125520218-14512.1255202181
15258873238032.7106305120840.2893694895
16180083147402.22250342432680.7774965762
17324799376760.214669197-51961.2146691968
18230964194373.79475096936590.2052490313
19236785245729.828042373-8944.82804237309
20135473137278.123819043-1805.12381904293
21202925186267.08560981816657.9143901822
22215147202989.40779162512157.5922083746
23344297238654.281556701105642.718443299
24153935119280.49347343134654.5065265693
25132943152707.264096613-19764.2640966134
26174724252148.812271141-77424.8122711407
27174415227911.768874072-53496.768874072
28225548238897.239442019-13349.2394420188
29223632172340.58605470951291.4139452911
30124817128311.469352863-3494.469352863
31221698194201.60550088727496.3944991129
32210767204551.4424207976215.55757920294
33170266180207.442179433-9941.44217943315
34260561211073.37213989749487.6278601027
3584853104424.80669245-19571.8066924501
36294424259312.09002412235111.9099758781
3710101169597.93177744531413.068222555
38215641206963.5049672598677.49503274054
39325107256107.13069875268999.8693012477
4071768106.54727995267-930.547279952673
41167542152220.76150495615321.2384950443
4210640873212.171453093333195.8285469067
4396560129224.164926966-32664.1649269663
44265769259908.3575185445860.64248145648
45269651272550.410166908-2899.41016690761
46149112160072.839456041-10960.8394560408
47175824215473.27268757-39649.2726875703
48152871158110.371364409-5239.37136440919
49111665111217.531087965447.468912035036
50116408242257.144014739-125849.144014739
51362301377786.146174911-15485.1461749107
5278800105139.151901686-26339.1519016864
53183167190340.401193573-7173.40119357274
54277965306136.728149923-28171.7281499226
55150629195977.42941308-45348.4294130804
56168809152719.85601423316089.1439857671
572418842011.7241993821-17823.7241993821
58329267277802.70586987551464.2941301255
596502968634.3215716793-3605.32157167928
60101097111549.141574118-10452.1415741181
61218946216440.176776072505.82322392982
62244052215323.48281647428728.5171835259
63341570321040.47577986920529.5242201312
6410359796700.18327081276896.81672918727
65233328242155.802479179-8827.80247917861
66256462243119.90774018213342.0922598178
67206161169170.34058763636990.6594123643
68311473290696.76802830520776.2319716953
69235800245179.630092397-9379.63009239675
70177939213148.793558572-35209.7935585721
71207176194504.18581380412671.8141861957
72196553165213.0242304531339.9757695503
73174184126764.23837284847419.7616271519
74143246168093.576519421-24847.5765194208
75187559210936.738008408-23377.7380084084
76187681194920.026240317-7239.02624031701
77119016136989.818378081-17973.8183780814
78182192179674.0560270972517.9439729032
797356696359.4235761549-22793.4235761549
80194979179128.9984757415850.0015242604
81167488175072.097080072-7584.09708007247
82143756159310.513606639-15554.5136066393
83275541220273.00375726355267.9962427375
84243199208062.64168353835136.3583164624
85182999211150.027074879-28151.0270748792
86135649142844.420668146-7195.42066814646
87152299166445.619982323-14146.6199823225
88120221134344.021637589-14123.0216375888
89346485276816.55295868469668.4470413164
90145790158521.145665563-12731.1456655632
91193339170008.939029523330.0609705004
9280953102893.41106264-21940.4110626401
93122774162443.578860834-39669.5788608341
94130585123741.6211609436843.37883905709
9511261176935.694990788835675.3050092112
96286468297436.588081943-10968.5880819431
97241066223831.96170489617234.0382951037
98148446266031.075437536-117585.075437536
99204713180770.87123765323942.1287623472
100182079177190.308339784888.69166021981
101140344130304.67419730310039.3258026973
102220516224091.201411236-3575.20141123562
103243060216092.81667512626967.1833248737
104162765163586.096254886-821.096254885793
105182613169033.67113797413579.3288620262
106232138216132.95215253416005.047847466
107265318280235.789548327-14917.7895483271
1088557492432.4072388982-6858.40723889817
109310839286065.53001967624773.4699803243
110225060217705.278330747354.72166926024
111232317219870.8276180412446.17238196
112144966168948.642054292-23982.6420542917
1134328768355.3778076917-25068.3778076917
114155754145109.61078006510644.3892199351
115164709194783.450431653-30074.4504316526
116201940227245.671031257-25305.6710312569
117235454227126.3859203348327.61407966644
118220801165799.02837618155001.9716238194
11999466155782.347116607-56316.3471166065
12092661122201.735836859-29540.7358368591
121133328128424.7103936384903.28960636155
12261361103446.639432385-42085.6394323847
123125930151451.431490784-25521.4314907842
124100750175375.983054495-74625.9830544948
125224549166073.21740022258475.7825997785
1268231650262.654290994432053.3457090056
12710201091374.719772619510635.2802273805
128101523104045.465360349-2522.4653603491
129243511210610.07570574732900.924294253
1302293821296.33416726131641.66583273871
1314156642479.0806570132-913.080657013204
132152474176448.123108283-23974.1231082832
1336185749004.890965222412852.1090347776
13499923154059.946556478-54136.946556478
135132487139278.24183176-6791.24183175975
136317394254007.20901972963386.7909802714
1372105420068.7417137399985.258286260122
138209641182277.52764980627363.4723501942
1392264856235.0480725586-33587.0480725586
1403141446659.4147949698-15245.4147949698
1414669865770.7035443571-19072.7035443571
142131698138225.946199167-6527.94619916676
1439173590453.24913647581281.75086352415
144244749250642.300002147-5893.30000214731
145184510182434.4395855862075.56041441414
14679863109136.117379306-29273.1173793058
147128423147853.815731924-19430.8157319241
14897839138068.483232461-40229.4832324612
1493821461387.5563441989-23173.5563441989
150151101164485.372605489-13384.3726054895
151272458243523.19757109828934.8024289023
152172494166250.4588832096243.54111679075
153108043110852.876906022-2809.87690602232
154328107310853.11219386517253.8878061352
155250579223716.12752915426862.872470846
156351067327417.95083989923649.049160101
157158015137838.50840762720176.4915923727
1589886683170.103218892315695.8967811077
15985439121000.383339823-35561.3833398229
160229242252777.622357174-23535.6223571744
161351619335804.31765855115814.682341449
16284207125687.049876893-41480.0498768933
163120445135959.949853867-15514.9498538674
164324598357811.159759033-33213.1597590327
165131069165976.341463638-34907.3414636382
166204271161713.26230476842557.7376952319
167165543172598.04988144-7055.04988143959
168141722157663.521801584-15941.5218015842
16911604882974.186396695733073.8136033043
170250047172203.62789585277843.3721041476
171299775310342.506423966-10567.5064239655
172195838185320.17956200110517.8204379985
173173260166743.3767809516516.62321904863
174254488217459.26923042237028.7307695785
175104389179545.955341753-75156.9553417525
176136084132809.0852930743274.91470692562
177199476246882.715549384-47406.7155493843
1789249981065.216123250211433.7838767498
179224330219955.0686478134374.93135218734
18013578191440.804488575744340.1955114243
1817440891724.7390736227-17316.7390736227
18281240128262.02774884-47022.0277488404
1831468810281.85003426474406.14996573533
184181633169018.24127764112614.7587223594
185271856229620.22372922342235.7762707767
18671995446.81907218271752.1809278173
1874666049182.5362907302-2522.53629073018
188175476969.446739371510577.5532606285
189133368117135.70643419916232.293565801
19095227100911.499643869-5684.49964386926
191152601136379.17356990316221.8264300965
19298146106884.126897748-8738.12689774818
1937961986018.4734972741-6399.47349727408
1945919480765.4576901493-21571.4576901493
195139942135498.4971845164443.50281548394
19611861298051.959311446720560.0406885533
1977288093184.0795067961-20304.0795067961
1986547568470.8705028934-2995.87050289345
19999643135493.389897666-35850.3898976655
2007196573898.7775287206-1933.77752872064
2017727266464.482637127510807.5173628725
2024928949792.273145148-503.273145148026
203135131117404.01155598217726.988444018
204108446106503.6819037151942.31809628539
20589746118789.290669976-29043.2906699757
2064429657188.328680236-12892.328680236
2077764875549.41865856752098.58134143246
208181528138932.67090095542595.3290990447
209134019106691.44860426427327.5513957363
210124064108849.02126438415214.9787356157
2119263071795.256831317920834.7431686821
21212184888220.272478834433627.7275211656
2135291554316.9124398411-1401.91243984111
2148187272024.4603000579847.53969994295
2155898196645.5013933864-37664.5013933864
2165351561959.9643181969-8444.96431819687
2176081290509.5217959919-29697.5217959919
2185637554049.67564535142325.32435464862
2196549053688.816538016111801.1834619839
2208094953729.272897644627219.7271023554
2217630289611.6420587009-13309.6420587009
222104011109784.031996021-5773.03199602052
22398104135973.865531341-37869.8655313415
2246798960550.86912817137438.13087182874
2253098931065.4552558053-76.4552558053421
226135458123201.37918899712256.620811003
2277350458855.781928016314648.2180719837
2286312385090.6916521157-21967.6916521157
2296125478486.0535018028-17232.0535018028
23074914118846.950344129-43932.9503441285
2313177444573.2027408735-12799.2027408735
2328143778270.1678127933166.83218720704
23387186124821.269856998-37635.2698569983
2345009060509.002163097-10419.002163097
23565745101110.458946134-35365.458946134
2365665362331.985159914-5678.98515991402
237158399107625.1991407450773.8008592596
2384645553608.9626109312-7153.96261093117
2397362484465.9809297913-10841.9809297913
2403839558066.9633954196-19671.9633954196
2419189985752.6057659316146.39423406903
242139526136541.8305043182984.16949568211
2435216458897.9738174002-6733.97381740018
2445156755187.3349604493-3620.33496044926
2457055172957.4817097795-2406.48170977954
2468485695579.8917201286-10723.8917201286
247102538119035.283946676-16497.283946676
2488667868421.523973101618256.4760268984
2498570981770.93390194683938.06609805319
2503466252327.4730461089-17665.4730461089
251150580143311.9831018557268.0168981455
2529961190574.56476791729036.43523208285
253193491869.4031553793417479.5968446207
25499373103551.434223667-4178.4342236668
25586230106195.432516407-19965.4325164072
2563083726243.28184064114593.71815935888
2573170641473.7800698417-9767.78006984172
2588980680047.74711172689758.25288827322
2596208848515.892814586213572.1071854138
2604015128760.192603441111390.8073965589
2612763447619.3269337073-19985.3269337073
2627699058651.176600545318338.8233994547
2633746024499.379962203212960.6200377968
2645415752524.75697524751632.24302475252
2654986263645.6944758479-13783.6944758479
2668433768140.621993429216196.3780065708
2676417574372.034818906-10197.034818906
2685938263600.0351401257-4218.03514012571
26911930865234.24746156154073.752538439
27076702102973.690190407-26271.6901904069
271103425110253.527161475-6828.5271614751
2727034465119.95017225465224.0498277454
2734341040595.99167048782814.0083295122
27410483889198.123173473115639.8768265269
2756221545174.229834149417040.7701658506
2766930473741.2824479497-4437.28244794972
2775311741566.300009014111550.6999909859
278197643993.9081579870715770.0918420129
2798668078652.82730090128027.17269909878
2808410566167.548009656417937.4519903436
2817794577320.2461170214624.753882978616
2828911396388.782056021-7275.78205602096
2839100590166.0283600106838.971639989434
2844024825710.464612941914537.5353870581
2856418762916.93651788981270.06348211022
2865085761452.5344324151-10595.5344324151
2875661347863.61709372458749.38290627555
2886279257483.57976416165308.42023583837
2897253573923.50916791-1388.50916791002







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.9987200036724550.002559992655089920.00127999632754496
110.9966508570940850.006698285811830710.00334914290591535
120.9926541645835090.01469167083298150.00734583541649074
130.9860749030457420.02785019390851620.0139250969542581
140.9744624656054610.05107506878907870.0255375343945394
150.9608102657776120.07837946844477650.0391897342223882
160.9660898272523470.0678203454953060.033910172747653
170.9793711567151990.04125768656960270.0206288432848014
180.9760959662841390.04780806743172110.0239040337158606
190.9671504194205580.0656991611588840.032849580579442
200.9525468905369320.09490621892613550.0474531094630677
210.9321929931505930.1356140136988130.0678070068494067
220.9058463424568720.1883073150862570.0941536575431284
230.9967806031712720.006438793657455020.00321939682872751
240.995717522531560.008564954936879370.00428247746843968
250.9957841389416750.008431722116650760.00421586105832538
260.9995608170523410.0008783658953173780.000439182947658689
270.9996492756952110.000701448609578090.000350724304789045
280.9994299613113160.00114007737736780.000570038688683898
290.9997593999278750.0004812001442501970.000240600072125098
300.9996388248381070.0007223503237866970.000361175161893348
310.9994645653882720.001070869223456920.000535434611728462
320.9991515570373470.001696885925306050.000848442962653023
330.9988258024973340.002348395005331080.00117419750266554
340.9991889112882270.001622177423546520.000811088711773259
350.9991646665736020.0016706668527950.000835333426397499
360.9990960664290110.001807867141977080.000903933570988542
370.999036381178530.001927237642940510.000963618821470253
380.9986218528880630.002756294223874640.00137814711193732
390.9997003771435090.0005992457129814820.000299622856490741
400.999537935617070.0009241287658604570.000462064382930228
410.9993460166798340.001307966640332380.000653983320166192
420.9992664162379860.001467167524027570.000733583762013783
430.9992001978587140.001599604282572210.000799802141286103
440.9990570346074460.001885930785107360.00094296539255368
450.9986275226027410.002744954794518770.00137247739725938
460.9981774989310010.003645002137996950.00182250106899848
470.9981722117654580.003655576469083850.00182778823454192
480.9974452680890670.00510946382186670.00255473191093335
490.9964984459432620.007003108113475550.00350155405673778
500.999995873487148.25302571926276e-064.12651285963138e-06
510.9999937876191511.24247616979853e-056.21238084899266e-06
520.9999928009979481.43980041043873e-057.19900205219367e-06
530.9999890037133172.19925733650379e-051.09962866825189e-05
540.9999882266297352.35467405296726e-051.17733702648363e-05
550.9999929063197781.41873604449585e-057.09368022247927e-06
560.9999895461363952.09077272101419e-051.0453863605071e-05
570.9999861060064682.77879870650335e-051.38939935325167e-05
580.9999913867166041.72265667924191e-058.61328339620956e-06
590.9999864864570152.70270859699726e-051.35135429849863e-05
600.9999799014943894.01970112222026e-052.00985056111013e-05
610.9999699778353746.00443292511541e-053.0022164625577e-05
620.9999626865735857.46268528301415e-053.73134264150708e-05
630.999947942830690.0001041143386207385.2057169310369e-05
640.9999246505236870.0001506989526257647.53494763128818e-05
650.999906574194890.0001868516102206359.34258051103177e-05
660.9998674127342890.0002651745314217510.000132587265710875
670.9998947294049450.0002105411901106530.000105270595055327
680.9998635649168980.0002728701662038470.000136435083101923
690.9998355906302860.0003288187394273010.00016440936971365
700.9998298906570940.000340218685811490.000170109342905745
710.9997699148310850.0004601703378303210.00023008516891516
720.9997508635358540.0004982729282920030.000249136464146001
730.9998401599669860.0003196800660271820.000159840033013591
740.9998643509974450.0002712980051095960.000135649002554798
750.9998387151179420.0003225697641159220.000161284882057961
760.9997793440528760.0004413118942486650.000220655947124332
770.9997356924622250.0005286150755506310.000264307537775316
780.9996371502549780.0007256994900439670.000362849745021983
790.9995557753981080.00088844920378440.0004442246018922
800.9994421326104780.00111573477904490.000557867389522452
810.999254280280330.00149143943934050.000745719719670252
820.9990840959717360.001831808056527530.000915904028263766
830.9995756658861040.0008486682277919130.000424334113895957
840.999606868146970.0007862637060591380.000393131853029569
850.999759951180220.0004800976395592370.000240048819779618
860.9996720833403270.000655833319345370.000327916659672685
870.9995804013275450.0008391973449108480.000419598672455424
880.9994594287242450.001081142551510410.000540571275755205
890.999870831464980.0002583370700401720.000129168535020086
900.9998257572782350.000348485443530740.00017424272176537
910.9997987482581290.0004025034837411550.000201251741870578
920.9997640218229210.0004719563541577560.000235978177078878
930.9998154520300150.0003690959399691470.000184547969984573
940.9997507178893260.0004985642213471730.000249282110673586
950.9997374161599690.0005251676800629370.000262583840031468
960.9996536126745060.0006927746509876750.000346387325493838
970.9995643697054850.0008712605890294250.000435630294514713
980.9999988204844652.35903106997064e-061.17951553498532e-06
990.9999986236212412.75275751837942e-061.37637875918971e-06
1000.999997944805854.11038829967516e-062.05519414983758e-06
1010.9999970732439145.85351217255602e-062.92675608627801e-06
1020.9999957268556418.54628871728025e-064.27314435864013e-06
1030.9999954639723579.07205528696036e-064.53602764348018e-06
1040.9999932680127141.34639745722003e-056.73198728610014e-06
1050.9999910621310891.78757378215328e-058.93786891076638e-06
1060.9999886057575632.27884848745462e-051.13942424372731e-05
1070.9999847867609033.04264781947534e-051.52132390973767e-05
1080.9999808390900613.83218198787429e-051.91609099393714e-05
1090.9999796770503514.06458992986331e-052.03229496493166e-05
1100.9999724112337875.51775324264585e-052.75887662132292e-05
1110.999963263877867.3472244280477e-053.67361221402385e-05
1120.9999591728523158.16542953701773e-054.08271476850887e-05
1130.9999541666685859.1666662830609e-054.58333314153045e-05
1140.9999381655884610.0001236688230769076.18344115384534e-05
1150.9999399644307550.0001200711384906366.0035569245318e-05
1160.9999387642263060.0001224715473889226.1235773694461e-05
1170.9999151675242970.0001696649514050798.48324757025393e-05
1180.9999510138546669.79722906682846e-054.89861453341423e-05
1190.9999809291057533.81417884940731e-051.90708942470366e-05
1200.9999860680026142.78639947722115e-051.39319973861057e-05
1210.999980054884443.98902311204607e-051.99451155602303e-05
1220.999989195124242.16097515204171e-051.08048757602085e-05
1230.9999888788175632.22423648743899e-051.11211824371949e-05
1240.9999989090510642.18189787275752e-061.09094893637876e-06
1250.9999997717115354.56576930088176e-072.28288465044088e-07
1260.9999998106085853.78782830326313e-071.89391415163157e-07
1270.9999997244031345.51193731501181e-072.75596865750591e-07
1280.999999577154038.45691939996611e-074.22845969998305e-07
1290.9999996472530947.05493811921691e-073.52746905960845e-07
1300.9999994593343581.08133128346487e-065.40665641732437e-07
1310.9999991798725781.64025484403287e-068.20127422016437e-07
1320.9999991075069021.78498619499299e-068.92493097496494e-07
1330.9999988014620032.39707599407421e-061.1985379970371e-06
1340.9999997130914135.73817173060964e-072.86908586530482e-07
1350.9999995694628398.61074323011541e-074.3053716150577e-07
1360.9999999257740651.484518700723e-077.42259350361501e-08
1370.9999998820466922.35906615314449e-071.17953307657224e-07
1380.9999998988461962.02307608157457e-071.01153804078728e-07
1390.9999999161417931.67716414186755e-078.38582070933774e-08
1400.9999998851869282.29626144778125e-071.14813072389062e-07
1410.9999998576507842.84698432712495e-071.42349216356248e-07
1420.9999997811248134.37750374625662e-072.18875187312831e-07
1430.999999659982626.80034760671582e-073.40017380335791e-07
1440.9999994876950561.02460988718872e-065.1230494359436e-07
1450.9999992967918691.406416261875e-067.03208130937498e-07
1460.9999993504880061.29902398880646e-066.4951199440323e-07
1470.9999991013731891.79725362162748e-068.98626810813739e-07
1480.999999375976371.24804725928944e-066.24023629644721e-07
1490.9999993701334041.25973319245421e-066.29866596227104e-07
1500.9999991070384621.78592307620861e-068.92961538104305e-07
1510.9999991054397661.78912046879758e-068.94560234398788e-07
1520.9999986798128582.6403742840775e-061.32018714203875e-06
1530.9999980058970013.98820599698377e-061.99410299849189e-06
1540.9999974360224635.12795507446689e-062.56397753723344e-06
1550.9999975312851264.93742974824844e-062.46871487412422e-06
1560.9999984270077783.14598444346047e-061.57299222173024e-06
1570.9999983157578483.3684843048969e-061.68424215244845e-06
1580.9999977530007694.49399846162298e-062.24699923081149e-06
1590.9999982314346093.53713078207668e-061.76856539103834e-06
1600.9999982600424053.47991518971249e-061.73995759485625e-06
1610.9999978874032244.22519355289302e-062.11259677644651e-06
1620.9999979979560624.00408787536685e-062.00204393768343e-06
1630.9999976767349274.64653014620228e-062.32326507310114e-06
1640.9999978720678264.25586434786658e-062.12793217393329e-06
1650.9999984974825253.00503494947545e-061.50251747473772e-06
1660.9999994281297621.14374047569875e-065.71870237849375e-07
1670.999999138534291.72293141974236e-068.61465709871182e-07
1680.999998991706792.01658642023988e-061.00829321011994e-06
1690.9999991512580321.69748393537006e-068.48741967685032e-07
1700.9999999896121032.07757944499569e-081.03878972249784e-08
1710.9999999830905373.38189256615402e-081.69094628307701e-08
1720.9999999786676174.26647663671484e-082.13323831835742e-08
1730.9999999652070016.95859974459353e-083.47929987229676e-08
1740.999999994261571.14768602569532e-085.73843012847659e-09
1750.9999999993401211.31975873516805e-096.59879367584024e-10
1760.9999999988442762.31144883135995e-091.15572441567998e-09
1770.999999999471411.05717992110042e-095.28589960550209e-10
1780.9999999991500551.699890712288e-098.49945356144002e-10
1790.9999999986195522.76089656451688e-091.38044828225844e-09
1800.9999999996712356.57529885178251e-103.28764942589126e-10
1810.9999999995640448.71912866911481e-104.3595643345574e-10
1820.9999999999282861.43427742183853e-107.17138710919267e-11
1830.9999999998872942.25411226850741e-101.1270561342537e-10
1840.999999999811013.77980237469267e-101.88990118734633e-10
1850.9999999999641647.16719680771535e-113.58359840385768e-11
1860.9999999999457191.08561911534889e-105.42809557674447e-11
1870.9999999999306961.3860718107787e-106.93035905389349e-11
1880.9999999999147581.70484785893847e-108.52423929469233e-11
1890.9999999998994442.01111476927242e-101.00555738463621e-10
1900.9999999998555422.88915625738994e-101.44457812869497e-10
1910.9999999997382915.23417626740533e-102.61708813370267e-10
1920.9999999995325899.34822283709404e-104.67411141854702e-10
1930.9999999991878311.62433891819233e-098.12169459096163e-10
1940.9999999986837992.63240248420558e-091.31620124210279e-09
1950.9999999982610633.47787406413733e-091.73893703206866e-09
1960.9999999980062073.98758547218782e-091.99379273609391e-09
1970.9999999973393555.32128996556674e-092.66064498278337e-09
1980.9999999952625829.47483686191074e-094.73741843095537e-09
1990.9999999964645587.07088500317044e-093.53544250158522e-09
2000.9999999935204471.29591069729694e-086.47955348648468e-09
2010.9999999891917042.16165924922021e-081.08082962461011e-08
2020.9999999807549533.84900941989315e-081.92450470994658e-08
2030.9999999745209495.09581018297828e-082.54790509148914e-08
2040.9999999557727558.84544894997917e-084.42272447498958e-08
2050.9999999563177748.7364451501685e-084.36822257508425e-08
2060.9999999327883121.34423375042658e-076.72116875213292e-08
2070.9999998813902242.37219552337929e-071.18609776168965e-07
2080.9999999821334113.57331782864476e-081.78665891432238e-08
2090.9999999892757282.14485434571139e-081.07242717285569e-08
2100.9999999898016542.03966915905509e-081.01983457952755e-08
2110.9999999877785552.44428906082492e-081.22214453041246e-08
2120.9999999960772397.84552228934563e-093.92276114467282e-09
2130.9999999924797411.50405173997121e-087.52025869985603e-09
2140.9999999871345342.57309315315386e-081.28654657657693e-08
2150.9999999909614881.80770241964303e-089.03851209821513e-09
2160.9999999844159593.11680811372561e-081.55840405686281e-08
2170.9999999884599022.30801962464434e-081.15400981232217e-08
2180.9999999779965714.40068580560596e-082.20034290280298e-08
2190.9999999624441457.5111709116705e-083.75558545583525e-08
2200.9999999716604565.66790878643371e-082.83395439321686e-08
2210.9999999490121941.01975611127276e-075.09878055636379e-08
2220.9999999061133861.87773227396595e-079.38866136982975e-08
2230.9999999455383211.08923358702099e-075.44616793510497e-08
2240.9999999124834341.750331318758e-078.75165659378999e-08
2250.9999998367645733.26470853962425e-071.63235426981212e-07
2260.9999997277225475.4455490541378e-072.7227745270689e-07
2270.9999995781530098.43693981179932e-074.21846990589966e-07
2280.9999994738564531.05228709402352e-065.26143547011758e-07
2290.9999994144584521.17108309575397e-065.85541547876983e-07
2300.9999996609691666.78061668383482e-073.39030834191741e-07
2310.9999995771573478.45685306420446e-074.22842653210223e-07
2320.999999208900171.58219965917673e-067.91099829588363e-07
2330.9999996294619377.41076125653567e-073.70538062826784e-07
2340.99999940118721.1976256004925e-065.98812800246249e-07
2350.9999997632294924.73541015341867e-072.36770507670933e-07
2360.9999995693221468.61355708632649e-074.30677854316324e-07
2370.9999999939259321.21481363811322e-086.0740681905661e-09
2380.999999989171572.16568605065077e-081.08284302532539e-08
2390.9999999798099154.03801703396722e-082.01900851698361e-08
2400.9999999870364532.59270938945498e-081.29635469472749e-08
2410.9999999742039565.1592087636924e-082.5796043818462e-08
2420.9999999438204111.12359178444936e-075.6179589222468e-08
2430.9999999195799851.6084003081206e-078.04200154060298e-08
2440.9999998458219183.08356164101273e-071.54178082050637e-07
2450.9999996698758036.60248393889846e-073.30124196944923e-07
2460.9999993315142981.33697140476577e-066.68485702382883e-07
2470.9999988218194192.35636116288617e-061.17818058144308e-06
2480.9999983199151083.36016978381692e-061.68008489190846e-06
2490.9999965820631846.83587363271926e-063.41793681635963e-06
2500.9999967010165326.59796693670271e-063.29898346835136e-06
2510.99999582660628.34678759999454e-064.17339379999727e-06
2520.9999932298466841.35403066317625e-056.77015331588125e-06
2530.9999860060954872.79878090260696e-051.39939045130348e-05
2540.9999709703068815.80593862374891e-052.90296931187446e-05
2550.9999646688894057.06622211905013e-053.53311105952507e-05
2560.9999357253641910.0001285492716172996.42746358086493e-05
2570.9999207776164410.0001584447671181567.92223835590779e-05
2580.9998579385589140.000284122882171330.000142061441085665
2590.999746229685570.000507540628860520.00025377031443026
2600.9995041302108630.0009917395782736580.000495869789136829
2610.9997654825113530.0004690349772939750.000234517488646987
2620.9996334122465790.0007331755068413870.000366587753420694
2630.9992609250127480.001478149974504490.000739074987252245
2640.9986413691049760.002717261790047070.00135863089502353
2650.9981869728069460.003626054386108710.00181302719305436
2660.9969996654277520.006000669144495640.00300033457224782
2670.9957144888541640.008571022291671220.00428551114583561
2680.9931683290221620.01366334195567560.00683167097783778
2690.9999504840331989.903193360442e-054.951596680221e-05
2700.9999838546925433.22906149138059e-051.61453074569029e-05
2710.9999861051244812.77897510376383e-051.38948755188191e-05
2720.9999458823908390.000108235218321335.41176091606648e-05
2730.9999551607242768.9678551448774e-054.4839275724387e-05
2740.9998404951103690.0003190097792612070.000159504889630604
2750.9994867788692110.001026442261578120.000513221130789058
2760.9985043965531910.002991206893618730.00149560344680937
2770.9968047050613050.006390589877389080.00319529493869454
2780.9876806770923470.02463864581530550.0123193229076528
2790.9553589059763210.08928218804735880.0446410940236794

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
10 & 0.998720003672455 & 0.00255999265508992 & 0.00127999632754496 \tabularnewline
11 & 0.996650857094085 & 0.00669828581183071 & 0.00334914290591535 \tabularnewline
12 & 0.992654164583509 & 0.0146916708329815 & 0.00734583541649074 \tabularnewline
13 & 0.986074903045742 & 0.0278501939085162 & 0.0139250969542581 \tabularnewline
14 & 0.974462465605461 & 0.0510750687890787 & 0.0255375343945394 \tabularnewline
15 & 0.960810265777612 & 0.0783794684447765 & 0.0391897342223882 \tabularnewline
16 & 0.966089827252347 & 0.067820345495306 & 0.033910172747653 \tabularnewline
17 & 0.979371156715199 & 0.0412576865696027 & 0.0206288432848014 \tabularnewline
18 & 0.976095966284139 & 0.0478080674317211 & 0.0239040337158606 \tabularnewline
19 & 0.967150419420558 & 0.065699161158884 & 0.032849580579442 \tabularnewline
20 & 0.952546890536932 & 0.0949062189261355 & 0.0474531094630677 \tabularnewline
21 & 0.932192993150593 & 0.135614013698813 & 0.0678070068494067 \tabularnewline
22 & 0.905846342456872 & 0.188307315086257 & 0.0941536575431284 \tabularnewline
23 & 0.996780603171272 & 0.00643879365745502 & 0.00321939682872751 \tabularnewline
24 & 0.99571752253156 & 0.00856495493687937 & 0.00428247746843968 \tabularnewline
25 & 0.995784138941675 & 0.00843172211665076 & 0.00421586105832538 \tabularnewline
26 & 0.999560817052341 & 0.000878365895317378 & 0.000439182947658689 \tabularnewline
27 & 0.999649275695211 & 0.00070144860957809 & 0.000350724304789045 \tabularnewline
28 & 0.999429961311316 & 0.0011400773773678 & 0.000570038688683898 \tabularnewline
29 & 0.999759399927875 & 0.000481200144250197 & 0.000240600072125098 \tabularnewline
30 & 0.999638824838107 & 0.000722350323786697 & 0.000361175161893348 \tabularnewline
31 & 0.999464565388272 & 0.00107086922345692 & 0.000535434611728462 \tabularnewline
32 & 0.999151557037347 & 0.00169688592530605 & 0.000848442962653023 \tabularnewline
33 & 0.998825802497334 & 0.00234839500533108 & 0.00117419750266554 \tabularnewline
34 & 0.999188911288227 & 0.00162217742354652 & 0.000811088711773259 \tabularnewline
35 & 0.999164666573602 & 0.001670666852795 & 0.000835333426397499 \tabularnewline
36 & 0.999096066429011 & 0.00180786714197708 & 0.000903933570988542 \tabularnewline
37 & 0.99903638117853 & 0.00192723764294051 & 0.000963618821470253 \tabularnewline
38 & 0.998621852888063 & 0.00275629422387464 & 0.00137814711193732 \tabularnewline
39 & 0.999700377143509 & 0.000599245712981482 & 0.000299622856490741 \tabularnewline
40 & 0.99953793561707 & 0.000924128765860457 & 0.000462064382930228 \tabularnewline
41 & 0.999346016679834 & 0.00130796664033238 & 0.000653983320166192 \tabularnewline
42 & 0.999266416237986 & 0.00146716752402757 & 0.000733583762013783 \tabularnewline
43 & 0.999200197858714 & 0.00159960428257221 & 0.000799802141286103 \tabularnewline
44 & 0.999057034607446 & 0.00188593078510736 & 0.00094296539255368 \tabularnewline
45 & 0.998627522602741 & 0.00274495479451877 & 0.00137247739725938 \tabularnewline
46 & 0.998177498931001 & 0.00364500213799695 & 0.00182250106899848 \tabularnewline
47 & 0.998172211765458 & 0.00365557646908385 & 0.00182778823454192 \tabularnewline
48 & 0.997445268089067 & 0.0051094638218667 & 0.00255473191093335 \tabularnewline
49 & 0.996498445943262 & 0.00700310811347555 & 0.00350155405673778 \tabularnewline
50 & 0.99999587348714 & 8.25302571926276e-06 & 4.12651285963138e-06 \tabularnewline
51 & 0.999993787619151 & 1.24247616979853e-05 & 6.21238084899266e-06 \tabularnewline
52 & 0.999992800997948 & 1.43980041043873e-05 & 7.19900205219367e-06 \tabularnewline
53 & 0.999989003713317 & 2.19925733650379e-05 & 1.09962866825189e-05 \tabularnewline
54 & 0.999988226629735 & 2.35467405296726e-05 & 1.17733702648363e-05 \tabularnewline
55 & 0.999992906319778 & 1.41873604449585e-05 & 7.09368022247927e-06 \tabularnewline
56 & 0.999989546136395 & 2.09077272101419e-05 & 1.0453863605071e-05 \tabularnewline
57 & 0.999986106006468 & 2.77879870650335e-05 & 1.38939935325167e-05 \tabularnewline
58 & 0.999991386716604 & 1.72265667924191e-05 & 8.61328339620956e-06 \tabularnewline
59 & 0.999986486457015 & 2.70270859699726e-05 & 1.35135429849863e-05 \tabularnewline
60 & 0.999979901494389 & 4.01970112222026e-05 & 2.00985056111013e-05 \tabularnewline
61 & 0.999969977835374 & 6.00443292511541e-05 & 3.0022164625577e-05 \tabularnewline
62 & 0.999962686573585 & 7.46268528301415e-05 & 3.73134264150708e-05 \tabularnewline
63 & 0.99994794283069 & 0.000104114338620738 & 5.2057169310369e-05 \tabularnewline
64 & 0.999924650523687 & 0.000150698952625764 & 7.53494763128818e-05 \tabularnewline
65 & 0.99990657419489 & 0.000186851610220635 & 9.34258051103177e-05 \tabularnewline
66 & 0.999867412734289 & 0.000265174531421751 & 0.000132587265710875 \tabularnewline
67 & 0.999894729404945 & 0.000210541190110653 & 0.000105270595055327 \tabularnewline
68 & 0.999863564916898 & 0.000272870166203847 & 0.000136435083101923 \tabularnewline
69 & 0.999835590630286 & 0.000328818739427301 & 0.00016440936971365 \tabularnewline
70 & 0.999829890657094 & 0.00034021868581149 & 0.000170109342905745 \tabularnewline
71 & 0.999769914831085 & 0.000460170337830321 & 0.00023008516891516 \tabularnewline
72 & 0.999750863535854 & 0.000498272928292003 & 0.000249136464146001 \tabularnewline
73 & 0.999840159966986 & 0.000319680066027182 & 0.000159840033013591 \tabularnewline
74 & 0.999864350997445 & 0.000271298005109596 & 0.000135649002554798 \tabularnewline
75 & 0.999838715117942 & 0.000322569764115922 & 0.000161284882057961 \tabularnewline
76 & 0.999779344052876 & 0.000441311894248665 & 0.000220655947124332 \tabularnewline
77 & 0.999735692462225 & 0.000528615075550631 & 0.000264307537775316 \tabularnewline
78 & 0.999637150254978 & 0.000725699490043967 & 0.000362849745021983 \tabularnewline
79 & 0.999555775398108 & 0.0008884492037844 & 0.0004442246018922 \tabularnewline
80 & 0.999442132610478 & 0.0011157347790449 & 0.000557867389522452 \tabularnewline
81 & 0.99925428028033 & 0.0014914394393405 & 0.000745719719670252 \tabularnewline
82 & 0.999084095971736 & 0.00183180805652753 & 0.000915904028263766 \tabularnewline
83 & 0.999575665886104 & 0.000848668227791913 & 0.000424334113895957 \tabularnewline
84 & 0.99960686814697 & 0.000786263706059138 & 0.000393131853029569 \tabularnewline
85 & 0.99975995118022 & 0.000480097639559237 & 0.000240048819779618 \tabularnewline
86 & 0.999672083340327 & 0.00065583331934537 & 0.000327916659672685 \tabularnewline
87 & 0.999580401327545 & 0.000839197344910848 & 0.000419598672455424 \tabularnewline
88 & 0.999459428724245 & 0.00108114255151041 & 0.000540571275755205 \tabularnewline
89 & 0.99987083146498 & 0.000258337070040172 & 0.000129168535020086 \tabularnewline
90 & 0.999825757278235 & 0.00034848544353074 & 0.00017424272176537 \tabularnewline
91 & 0.999798748258129 & 0.000402503483741155 & 0.000201251741870578 \tabularnewline
92 & 0.999764021822921 & 0.000471956354157756 & 0.000235978177078878 \tabularnewline
93 & 0.999815452030015 & 0.000369095939969147 & 0.000184547969984573 \tabularnewline
94 & 0.999750717889326 & 0.000498564221347173 & 0.000249282110673586 \tabularnewline
95 & 0.999737416159969 & 0.000525167680062937 & 0.000262583840031468 \tabularnewline
96 & 0.999653612674506 & 0.000692774650987675 & 0.000346387325493838 \tabularnewline
97 & 0.999564369705485 & 0.000871260589029425 & 0.000435630294514713 \tabularnewline
98 & 0.999998820484465 & 2.35903106997064e-06 & 1.17951553498532e-06 \tabularnewline
99 & 0.999998623621241 & 2.75275751837942e-06 & 1.37637875918971e-06 \tabularnewline
100 & 0.99999794480585 & 4.11038829967516e-06 & 2.05519414983758e-06 \tabularnewline
101 & 0.999997073243914 & 5.85351217255602e-06 & 2.92675608627801e-06 \tabularnewline
102 & 0.999995726855641 & 8.54628871728025e-06 & 4.27314435864013e-06 \tabularnewline
103 & 0.999995463972357 & 9.07205528696036e-06 & 4.53602764348018e-06 \tabularnewline
104 & 0.999993268012714 & 1.34639745722003e-05 & 6.73198728610014e-06 \tabularnewline
105 & 0.999991062131089 & 1.78757378215328e-05 & 8.93786891076638e-06 \tabularnewline
106 & 0.999988605757563 & 2.27884848745462e-05 & 1.13942424372731e-05 \tabularnewline
107 & 0.999984786760903 & 3.04264781947534e-05 & 1.52132390973767e-05 \tabularnewline
108 & 0.999980839090061 & 3.83218198787429e-05 & 1.91609099393714e-05 \tabularnewline
109 & 0.999979677050351 & 4.06458992986331e-05 & 2.03229496493166e-05 \tabularnewline
110 & 0.999972411233787 & 5.51775324264585e-05 & 2.75887662132292e-05 \tabularnewline
111 & 0.99996326387786 & 7.3472244280477e-05 & 3.67361221402385e-05 \tabularnewline
112 & 0.999959172852315 & 8.16542953701773e-05 & 4.08271476850887e-05 \tabularnewline
113 & 0.999954166668585 & 9.1666662830609e-05 & 4.58333314153045e-05 \tabularnewline
114 & 0.999938165588461 & 0.000123668823076907 & 6.18344115384534e-05 \tabularnewline
115 & 0.999939964430755 & 0.000120071138490636 & 6.0035569245318e-05 \tabularnewline
116 & 0.999938764226306 & 0.000122471547388922 & 6.1235773694461e-05 \tabularnewline
117 & 0.999915167524297 & 0.000169664951405079 & 8.48324757025393e-05 \tabularnewline
118 & 0.999951013854666 & 9.79722906682846e-05 & 4.89861453341423e-05 \tabularnewline
119 & 0.999980929105753 & 3.81417884940731e-05 & 1.90708942470366e-05 \tabularnewline
120 & 0.999986068002614 & 2.78639947722115e-05 & 1.39319973861057e-05 \tabularnewline
121 & 0.99998005488444 & 3.98902311204607e-05 & 1.99451155602303e-05 \tabularnewline
122 & 0.99998919512424 & 2.16097515204171e-05 & 1.08048757602085e-05 \tabularnewline
123 & 0.999988878817563 & 2.22423648743899e-05 & 1.11211824371949e-05 \tabularnewline
124 & 0.999998909051064 & 2.18189787275752e-06 & 1.09094893637876e-06 \tabularnewline
125 & 0.999999771711535 & 4.56576930088176e-07 & 2.28288465044088e-07 \tabularnewline
126 & 0.999999810608585 & 3.78782830326313e-07 & 1.89391415163157e-07 \tabularnewline
127 & 0.999999724403134 & 5.51193731501181e-07 & 2.75596865750591e-07 \tabularnewline
128 & 0.99999957715403 & 8.45691939996611e-07 & 4.22845969998305e-07 \tabularnewline
129 & 0.999999647253094 & 7.05493811921691e-07 & 3.52746905960845e-07 \tabularnewline
130 & 0.999999459334358 & 1.08133128346487e-06 & 5.40665641732437e-07 \tabularnewline
131 & 0.999999179872578 & 1.64025484403287e-06 & 8.20127422016437e-07 \tabularnewline
132 & 0.999999107506902 & 1.78498619499299e-06 & 8.92493097496494e-07 \tabularnewline
133 & 0.999998801462003 & 2.39707599407421e-06 & 1.1985379970371e-06 \tabularnewline
134 & 0.999999713091413 & 5.73817173060964e-07 & 2.86908586530482e-07 \tabularnewline
135 & 0.999999569462839 & 8.61074323011541e-07 & 4.3053716150577e-07 \tabularnewline
136 & 0.999999925774065 & 1.484518700723e-07 & 7.42259350361501e-08 \tabularnewline
137 & 0.999999882046692 & 2.35906615314449e-07 & 1.17953307657224e-07 \tabularnewline
138 & 0.999999898846196 & 2.02307608157457e-07 & 1.01153804078728e-07 \tabularnewline
139 & 0.999999916141793 & 1.67716414186755e-07 & 8.38582070933774e-08 \tabularnewline
140 & 0.999999885186928 & 2.29626144778125e-07 & 1.14813072389062e-07 \tabularnewline
141 & 0.999999857650784 & 2.84698432712495e-07 & 1.42349216356248e-07 \tabularnewline
142 & 0.999999781124813 & 4.37750374625662e-07 & 2.18875187312831e-07 \tabularnewline
143 & 0.99999965998262 & 6.80034760671582e-07 & 3.40017380335791e-07 \tabularnewline
144 & 0.999999487695056 & 1.02460988718872e-06 & 5.1230494359436e-07 \tabularnewline
145 & 0.999999296791869 & 1.406416261875e-06 & 7.03208130937498e-07 \tabularnewline
146 & 0.999999350488006 & 1.29902398880646e-06 & 6.4951199440323e-07 \tabularnewline
147 & 0.999999101373189 & 1.79725362162748e-06 & 8.98626810813739e-07 \tabularnewline
148 & 0.99999937597637 & 1.24804725928944e-06 & 6.24023629644721e-07 \tabularnewline
149 & 0.999999370133404 & 1.25973319245421e-06 & 6.29866596227104e-07 \tabularnewline
150 & 0.999999107038462 & 1.78592307620861e-06 & 8.92961538104305e-07 \tabularnewline
151 & 0.999999105439766 & 1.78912046879758e-06 & 8.94560234398788e-07 \tabularnewline
152 & 0.999998679812858 & 2.6403742840775e-06 & 1.32018714203875e-06 \tabularnewline
153 & 0.999998005897001 & 3.98820599698377e-06 & 1.99410299849189e-06 \tabularnewline
154 & 0.999997436022463 & 5.12795507446689e-06 & 2.56397753723344e-06 \tabularnewline
155 & 0.999997531285126 & 4.93742974824844e-06 & 2.46871487412422e-06 \tabularnewline
156 & 0.999998427007778 & 3.14598444346047e-06 & 1.57299222173024e-06 \tabularnewline
157 & 0.999998315757848 & 3.3684843048969e-06 & 1.68424215244845e-06 \tabularnewline
158 & 0.999997753000769 & 4.49399846162298e-06 & 2.24699923081149e-06 \tabularnewline
159 & 0.999998231434609 & 3.53713078207668e-06 & 1.76856539103834e-06 \tabularnewline
160 & 0.999998260042405 & 3.47991518971249e-06 & 1.73995759485625e-06 \tabularnewline
161 & 0.999997887403224 & 4.22519355289302e-06 & 2.11259677644651e-06 \tabularnewline
162 & 0.999997997956062 & 4.00408787536685e-06 & 2.00204393768343e-06 \tabularnewline
163 & 0.999997676734927 & 4.64653014620228e-06 & 2.32326507310114e-06 \tabularnewline
164 & 0.999997872067826 & 4.25586434786658e-06 & 2.12793217393329e-06 \tabularnewline
165 & 0.999998497482525 & 3.00503494947545e-06 & 1.50251747473772e-06 \tabularnewline
166 & 0.999999428129762 & 1.14374047569875e-06 & 5.71870237849375e-07 \tabularnewline
167 & 0.99999913853429 & 1.72293141974236e-06 & 8.61465709871182e-07 \tabularnewline
168 & 0.99999899170679 & 2.01658642023988e-06 & 1.00829321011994e-06 \tabularnewline
169 & 0.999999151258032 & 1.69748393537006e-06 & 8.48741967685032e-07 \tabularnewline
170 & 0.999999989612103 & 2.07757944499569e-08 & 1.03878972249784e-08 \tabularnewline
171 & 0.999999983090537 & 3.38189256615402e-08 & 1.69094628307701e-08 \tabularnewline
172 & 0.999999978667617 & 4.26647663671484e-08 & 2.13323831835742e-08 \tabularnewline
173 & 0.999999965207001 & 6.95859974459353e-08 & 3.47929987229676e-08 \tabularnewline
174 & 0.99999999426157 & 1.14768602569532e-08 & 5.73843012847659e-09 \tabularnewline
175 & 0.999999999340121 & 1.31975873516805e-09 & 6.59879367584024e-10 \tabularnewline
176 & 0.999999998844276 & 2.31144883135995e-09 & 1.15572441567998e-09 \tabularnewline
177 & 0.99999999947141 & 1.05717992110042e-09 & 5.28589960550209e-10 \tabularnewline
178 & 0.999999999150055 & 1.699890712288e-09 & 8.49945356144002e-10 \tabularnewline
179 & 0.999999998619552 & 2.76089656451688e-09 & 1.38044828225844e-09 \tabularnewline
180 & 0.999999999671235 & 6.57529885178251e-10 & 3.28764942589126e-10 \tabularnewline
181 & 0.999999999564044 & 8.71912866911481e-10 & 4.3595643345574e-10 \tabularnewline
182 & 0.999999999928286 & 1.43427742183853e-10 & 7.17138710919267e-11 \tabularnewline
183 & 0.999999999887294 & 2.25411226850741e-10 & 1.1270561342537e-10 \tabularnewline
184 & 0.99999999981101 & 3.77980237469267e-10 & 1.88990118734633e-10 \tabularnewline
185 & 0.999999999964164 & 7.16719680771535e-11 & 3.58359840385768e-11 \tabularnewline
186 & 0.999999999945719 & 1.08561911534889e-10 & 5.42809557674447e-11 \tabularnewline
187 & 0.999999999930696 & 1.3860718107787e-10 & 6.93035905389349e-11 \tabularnewline
188 & 0.999999999914758 & 1.70484785893847e-10 & 8.52423929469233e-11 \tabularnewline
189 & 0.999999999899444 & 2.01111476927242e-10 & 1.00555738463621e-10 \tabularnewline
190 & 0.999999999855542 & 2.88915625738994e-10 & 1.44457812869497e-10 \tabularnewline
191 & 0.999999999738291 & 5.23417626740533e-10 & 2.61708813370267e-10 \tabularnewline
192 & 0.999999999532589 & 9.34822283709404e-10 & 4.67411141854702e-10 \tabularnewline
193 & 0.999999999187831 & 1.62433891819233e-09 & 8.12169459096163e-10 \tabularnewline
194 & 0.999999998683799 & 2.63240248420558e-09 & 1.31620124210279e-09 \tabularnewline
195 & 0.999999998261063 & 3.47787406413733e-09 & 1.73893703206866e-09 \tabularnewline
196 & 0.999999998006207 & 3.98758547218782e-09 & 1.99379273609391e-09 \tabularnewline
197 & 0.999999997339355 & 5.32128996556674e-09 & 2.66064498278337e-09 \tabularnewline
198 & 0.999999995262582 & 9.47483686191074e-09 & 4.73741843095537e-09 \tabularnewline
199 & 0.999999996464558 & 7.07088500317044e-09 & 3.53544250158522e-09 \tabularnewline
200 & 0.999999993520447 & 1.29591069729694e-08 & 6.47955348648468e-09 \tabularnewline
201 & 0.999999989191704 & 2.16165924922021e-08 & 1.08082962461011e-08 \tabularnewline
202 & 0.999999980754953 & 3.84900941989315e-08 & 1.92450470994658e-08 \tabularnewline
203 & 0.999999974520949 & 5.09581018297828e-08 & 2.54790509148914e-08 \tabularnewline
204 & 0.999999955772755 & 8.84544894997917e-08 & 4.42272447498958e-08 \tabularnewline
205 & 0.999999956317774 & 8.7364451501685e-08 & 4.36822257508425e-08 \tabularnewline
206 & 0.999999932788312 & 1.34423375042658e-07 & 6.72116875213292e-08 \tabularnewline
207 & 0.999999881390224 & 2.37219552337929e-07 & 1.18609776168965e-07 \tabularnewline
208 & 0.999999982133411 & 3.57331782864476e-08 & 1.78665891432238e-08 \tabularnewline
209 & 0.999999989275728 & 2.14485434571139e-08 & 1.07242717285569e-08 \tabularnewline
210 & 0.999999989801654 & 2.03966915905509e-08 & 1.01983457952755e-08 \tabularnewline
211 & 0.999999987778555 & 2.44428906082492e-08 & 1.22214453041246e-08 \tabularnewline
212 & 0.999999996077239 & 7.84552228934563e-09 & 3.92276114467282e-09 \tabularnewline
213 & 0.999999992479741 & 1.50405173997121e-08 & 7.52025869985603e-09 \tabularnewline
214 & 0.999999987134534 & 2.57309315315386e-08 & 1.28654657657693e-08 \tabularnewline
215 & 0.999999990961488 & 1.80770241964303e-08 & 9.03851209821513e-09 \tabularnewline
216 & 0.999999984415959 & 3.11680811372561e-08 & 1.55840405686281e-08 \tabularnewline
217 & 0.999999988459902 & 2.30801962464434e-08 & 1.15400981232217e-08 \tabularnewline
218 & 0.999999977996571 & 4.40068580560596e-08 & 2.20034290280298e-08 \tabularnewline
219 & 0.999999962444145 & 7.5111709116705e-08 & 3.75558545583525e-08 \tabularnewline
220 & 0.999999971660456 & 5.66790878643371e-08 & 2.83395439321686e-08 \tabularnewline
221 & 0.999999949012194 & 1.01975611127276e-07 & 5.09878055636379e-08 \tabularnewline
222 & 0.999999906113386 & 1.87773227396595e-07 & 9.38866136982975e-08 \tabularnewline
223 & 0.999999945538321 & 1.08923358702099e-07 & 5.44616793510497e-08 \tabularnewline
224 & 0.999999912483434 & 1.750331318758e-07 & 8.75165659378999e-08 \tabularnewline
225 & 0.999999836764573 & 3.26470853962425e-07 & 1.63235426981212e-07 \tabularnewline
226 & 0.999999727722547 & 5.4455490541378e-07 & 2.7227745270689e-07 \tabularnewline
227 & 0.999999578153009 & 8.43693981179932e-07 & 4.21846990589966e-07 \tabularnewline
228 & 0.999999473856453 & 1.05228709402352e-06 & 5.26143547011758e-07 \tabularnewline
229 & 0.999999414458452 & 1.17108309575397e-06 & 5.85541547876983e-07 \tabularnewline
230 & 0.999999660969166 & 6.78061668383482e-07 & 3.39030834191741e-07 \tabularnewline
231 & 0.999999577157347 & 8.45685306420446e-07 & 4.22842653210223e-07 \tabularnewline
232 & 0.99999920890017 & 1.58219965917673e-06 & 7.91099829588363e-07 \tabularnewline
233 & 0.999999629461937 & 7.41076125653567e-07 & 3.70538062826784e-07 \tabularnewline
234 & 0.9999994011872 & 1.1976256004925e-06 & 5.98812800246249e-07 \tabularnewline
235 & 0.999999763229492 & 4.73541015341867e-07 & 2.36770507670933e-07 \tabularnewline
236 & 0.999999569322146 & 8.61355708632649e-07 & 4.30677854316324e-07 \tabularnewline
237 & 0.999999993925932 & 1.21481363811322e-08 & 6.0740681905661e-09 \tabularnewline
238 & 0.99999998917157 & 2.16568605065077e-08 & 1.08284302532539e-08 \tabularnewline
239 & 0.999999979809915 & 4.03801703396722e-08 & 2.01900851698361e-08 \tabularnewline
240 & 0.999999987036453 & 2.59270938945498e-08 & 1.29635469472749e-08 \tabularnewline
241 & 0.999999974203956 & 5.1592087636924e-08 & 2.5796043818462e-08 \tabularnewline
242 & 0.999999943820411 & 1.12359178444936e-07 & 5.6179589222468e-08 \tabularnewline
243 & 0.999999919579985 & 1.6084003081206e-07 & 8.04200154060298e-08 \tabularnewline
244 & 0.999999845821918 & 3.08356164101273e-07 & 1.54178082050637e-07 \tabularnewline
245 & 0.999999669875803 & 6.60248393889846e-07 & 3.30124196944923e-07 \tabularnewline
246 & 0.999999331514298 & 1.33697140476577e-06 & 6.68485702382883e-07 \tabularnewline
247 & 0.999998821819419 & 2.35636116288617e-06 & 1.17818058144308e-06 \tabularnewline
248 & 0.999998319915108 & 3.36016978381692e-06 & 1.68008489190846e-06 \tabularnewline
249 & 0.999996582063184 & 6.83587363271926e-06 & 3.41793681635963e-06 \tabularnewline
250 & 0.999996701016532 & 6.59796693670271e-06 & 3.29898346835136e-06 \tabularnewline
251 & 0.9999958266062 & 8.34678759999454e-06 & 4.17339379999727e-06 \tabularnewline
252 & 0.999993229846684 & 1.35403066317625e-05 & 6.77015331588125e-06 \tabularnewline
253 & 0.999986006095487 & 2.79878090260696e-05 & 1.39939045130348e-05 \tabularnewline
254 & 0.999970970306881 & 5.80593862374891e-05 & 2.90296931187446e-05 \tabularnewline
255 & 0.999964668889405 & 7.06622211905013e-05 & 3.53311105952507e-05 \tabularnewline
256 & 0.999935725364191 & 0.000128549271617299 & 6.42746358086493e-05 \tabularnewline
257 & 0.999920777616441 & 0.000158444767118156 & 7.92223835590779e-05 \tabularnewline
258 & 0.999857938558914 & 0.00028412288217133 & 0.000142061441085665 \tabularnewline
259 & 0.99974622968557 & 0.00050754062886052 & 0.00025377031443026 \tabularnewline
260 & 0.999504130210863 & 0.000991739578273658 & 0.000495869789136829 \tabularnewline
261 & 0.999765482511353 & 0.000469034977293975 & 0.000234517488646987 \tabularnewline
262 & 0.999633412246579 & 0.000733175506841387 & 0.000366587753420694 \tabularnewline
263 & 0.999260925012748 & 0.00147814997450449 & 0.000739074987252245 \tabularnewline
264 & 0.998641369104976 & 0.00271726179004707 & 0.00135863089502353 \tabularnewline
265 & 0.998186972806946 & 0.00362605438610871 & 0.00181302719305436 \tabularnewline
266 & 0.996999665427752 & 0.00600066914449564 & 0.00300033457224782 \tabularnewline
267 & 0.995714488854164 & 0.00857102229167122 & 0.00428551114583561 \tabularnewline
268 & 0.993168329022162 & 0.0136633419556756 & 0.00683167097783778 \tabularnewline
269 & 0.999950484033198 & 9.903193360442e-05 & 4.951596680221e-05 \tabularnewline
270 & 0.999983854692543 & 3.22906149138059e-05 & 1.61453074569029e-05 \tabularnewline
271 & 0.999986105124481 & 2.77897510376383e-05 & 1.38948755188191e-05 \tabularnewline
272 & 0.999945882390839 & 0.00010823521832133 & 5.41176091606648e-05 \tabularnewline
273 & 0.999955160724276 & 8.9678551448774e-05 & 4.4839275724387e-05 \tabularnewline
274 & 0.999840495110369 & 0.000319009779261207 & 0.000159504889630604 \tabularnewline
275 & 0.999486778869211 & 0.00102644226157812 & 0.000513221130789058 \tabularnewline
276 & 0.998504396553191 & 0.00299120689361873 & 0.00149560344680937 \tabularnewline
277 & 0.996804705061305 & 0.00639058987738908 & 0.00319529493869454 \tabularnewline
278 & 0.987680677092347 & 0.0246386458153055 & 0.0123193229076528 \tabularnewline
279 & 0.955358905976321 & 0.0892821880473588 & 0.0446410940236794 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198374&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]0.998720003672455[/C][C]0.00255999265508992[/C][C]0.00127999632754496[/C][/ROW]
[ROW][C]11[/C][C]0.996650857094085[/C][C]0.00669828581183071[/C][C]0.00334914290591535[/C][/ROW]
[ROW][C]12[/C][C]0.992654164583509[/C][C]0.0146916708329815[/C][C]0.00734583541649074[/C][/ROW]
[ROW][C]13[/C][C]0.986074903045742[/C][C]0.0278501939085162[/C][C]0.0139250969542581[/C][/ROW]
[ROW][C]14[/C][C]0.974462465605461[/C][C]0.0510750687890787[/C][C]0.0255375343945394[/C][/ROW]
[ROW][C]15[/C][C]0.960810265777612[/C][C]0.0783794684447765[/C][C]0.0391897342223882[/C][/ROW]
[ROW][C]16[/C][C]0.966089827252347[/C][C]0.067820345495306[/C][C]0.033910172747653[/C][/ROW]
[ROW][C]17[/C][C]0.979371156715199[/C][C]0.0412576865696027[/C][C]0.0206288432848014[/C][/ROW]
[ROW][C]18[/C][C]0.976095966284139[/C][C]0.0478080674317211[/C][C]0.0239040337158606[/C][/ROW]
[ROW][C]19[/C][C]0.967150419420558[/C][C]0.065699161158884[/C][C]0.032849580579442[/C][/ROW]
[ROW][C]20[/C][C]0.952546890536932[/C][C]0.0949062189261355[/C][C]0.0474531094630677[/C][/ROW]
[ROW][C]21[/C][C]0.932192993150593[/C][C]0.135614013698813[/C][C]0.0678070068494067[/C][/ROW]
[ROW][C]22[/C][C]0.905846342456872[/C][C]0.188307315086257[/C][C]0.0941536575431284[/C][/ROW]
[ROW][C]23[/C][C]0.996780603171272[/C][C]0.00643879365745502[/C][C]0.00321939682872751[/C][/ROW]
[ROW][C]24[/C][C]0.99571752253156[/C][C]0.00856495493687937[/C][C]0.00428247746843968[/C][/ROW]
[ROW][C]25[/C][C]0.995784138941675[/C][C]0.00843172211665076[/C][C]0.00421586105832538[/C][/ROW]
[ROW][C]26[/C][C]0.999560817052341[/C][C]0.000878365895317378[/C][C]0.000439182947658689[/C][/ROW]
[ROW][C]27[/C][C]0.999649275695211[/C][C]0.00070144860957809[/C][C]0.000350724304789045[/C][/ROW]
[ROW][C]28[/C][C]0.999429961311316[/C][C]0.0011400773773678[/C][C]0.000570038688683898[/C][/ROW]
[ROW][C]29[/C][C]0.999759399927875[/C][C]0.000481200144250197[/C][C]0.000240600072125098[/C][/ROW]
[ROW][C]30[/C][C]0.999638824838107[/C][C]0.000722350323786697[/C][C]0.000361175161893348[/C][/ROW]
[ROW][C]31[/C][C]0.999464565388272[/C][C]0.00107086922345692[/C][C]0.000535434611728462[/C][/ROW]
[ROW][C]32[/C][C]0.999151557037347[/C][C]0.00169688592530605[/C][C]0.000848442962653023[/C][/ROW]
[ROW][C]33[/C][C]0.998825802497334[/C][C]0.00234839500533108[/C][C]0.00117419750266554[/C][/ROW]
[ROW][C]34[/C][C]0.999188911288227[/C][C]0.00162217742354652[/C][C]0.000811088711773259[/C][/ROW]
[ROW][C]35[/C][C]0.999164666573602[/C][C]0.001670666852795[/C][C]0.000835333426397499[/C][/ROW]
[ROW][C]36[/C][C]0.999096066429011[/C][C]0.00180786714197708[/C][C]0.000903933570988542[/C][/ROW]
[ROW][C]37[/C][C]0.99903638117853[/C][C]0.00192723764294051[/C][C]0.000963618821470253[/C][/ROW]
[ROW][C]38[/C][C]0.998621852888063[/C][C]0.00275629422387464[/C][C]0.00137814711193732[/C][/ROW]
[ROW][C]39[/C][C]0.999700377143509[/C][C]0.000599245712981482[/C][C]0.000299622856490741[/C][/ROW]
[ROW][C]40[/C][C]0.99953793561707[/C][C]0.000924128765860457[/C][C]0.000462064382930228[/C][/ROW]
[ROW][C]41[/C][C]0.999346016679834[/C][C]0.00130796664033238[/C][C]0.000653983320166192[/C][/ROW]
[ROW][C]42[/C][C]0.999266416237986[/C][C]0.00146716752402757[/C][C]0.000733583762013783[/C][/ROW]
[ROW][C]43[/C][C]0.999200197858714[/C][C]0.00159960428257221[/C][C]0.000799802141286103[/C][/ROW]
[ROW][C]44[/C][C]0.999057034607446[/C][C]0.00188593078510736[/C][C]0.00094296539255368[/C][/ROW]
[ROW][C]45[/C][C]0.998627522602741[/C][C]0.00274495479451877[/C][C]0.00137247739725938[/C][/ROW]
[ROW][C]46[/C][C]0.998177498931001[/C][C]0.00364500213799695[/C][C]0.00182250106899848[/C][/ROW]
[ROW][C]47[/C][C]0.998172211765458[/C][C]0.00365557646908385[/C][C]0.00182778823454192[/C][/ROW]
[ROW][C]48[/C][C]0.997445268089067[/C][C]0.0051094638218667[/C][C]0.00255473191093335[/C][/ROW]
[ROW][C]49[/C][C]0.996498445943262[/C][C]0.00700310811347555[/C][C]0.00350155405673778[/C][/ROW]
[ROW][C]50[/C][C]0.99999587348714[/C][C]8.25302571926276e-06[/C][C]4.12651285963138e-06[/C][/ROW]
[ROW][C]51[/C][C]0.999993787619151[/C][C]1.24247616979853e-05[/C][C]6.21238084899266e-06[/C][/ROW]
[ROW][C]52[/C][C]0.999992800997948[/C][C]1.43980041043873e-05[/C][C]7.19900205219367e-06[/C][/ROW]
[ROW][C]53[/C][C]0.999989003713317[/C][C]2.19925733650379e-05[/C][C]1.09962866825189e-05[/C][/ROW]
[ROW][C]54[/C][C]0.999988226629735[/C][C]2.35467405296726e-05[/C][C]1.17733702648363e-05[/C][/ROW]
[ROW][C]55[/C][C]0.999992906319778[/C][C]1.41873604449585e-05[/C][C]7.09368022247927e-06[/C][/ROW]
[ROW][C]56[/C][C]0.999989546136395[/C][C]2.09077272101419e-05[/C][C]1.0453863605071e-05[/C][/ROW]
[ROW][C]57[/C][C]0.999986106006468[/C][C]2.77879870650335e-05[/C][C]1.38939935325167e-05[/C][/ROW]
[ROW][C]58[/C][C]0.999991386716604[/C][C]1.72265667924191e-05[/C][C]8.61328339620956e-06[/C][/ROW]
[ROW][C]59[/C][C]0.999986486457015[/C][C]2.70270859699726e-05[/C][C]1.35135429849863e-05[/C][/ROW]
[ROW][C]60[/C][C]0.999979901494389[/C][C]4.01970112222026e-05[/C][C]2.00985056111013e-05[/C][/ROW]
[ROW][C]61[/C][C]0.999969977835374[/C][C]6.00443292511541e-05[/C][C]3.0022164625577e-05[/C][/ROW]
[ROW][C]62[/C][C]0.999962686573585[/C][C]7.46268528301415e-05[/C][C]3.73134264150708e-05[/C][/ROW]
[ROW][C]63[/C][C]0.99994794283069[/C][C]0.000104114338620738[/C][C]5.2057169310369e-05[/C][/ROW]
[ROW][C]64[/C][C]0.999924650523687[/C][C]0.000150698952625764[/C][C]7.53494763128818e-05[/C][/ROW]
[ROW][C]65[/C][C]0.99990657419489[/C][C]0.000186851610220635[/C][C]9.34258051103177e-05[/C][/ROW]
[ROW][C]66[/C][C]0.999867412734289[/C][C]0.000265174531421751[/C][C]0.000132587265710875[/C][/ROW]
[ROW][C]67[/C][C]0.999894729404945[/C][C]0.000210541190110653[/C][C]0.000105270595055327[/C][/ROW]
[ROW][C]68[/C][C]0.999863564916898[/C][C]0.000272870166203847[/C][C]0.000136435083101923[/C][/ROW]
[ROW][C]69[/C][C]0.999835590630286[/C][C]0.000328818739427301[/C][C]0.00016440936971365[/C][/ROW]
[ROW][C]70[/C][C]0.999829890657094[/C][C]0.00034021868581149[/C][C]0.000170109342905745[/C][/ROW]
[ROW][C]71[/C][C]0.999769914831085[/C][C]0.000460170337830321[/C][C]0.00023008516891516[/C][/ROW]
[ROW][C]72[/C][C]0.999750863535854[/C][C]0.000498272928292003[/C][C]0.000249136464146001[/C][/ROW]
[ROW][C]73[/C][C]0.999840159966986[/C][C]0.000319680066027182[/C][C]0.000159840033013591[/C][/ROW]
[ROW][C]74[/C][C]0.999864350997445[/C][C]0.000271298005109596[/C][C]0.000135649002554798[/C][/ROW]
[ROW][C]75[/C][C]0.999838715117942[/C][C]0.000322569764115922[/C][C]0.000161284882057961[/C][/ROW]
[ROW][C]76[/C][C]0.999779344052876[/C][C]0.000441311894248665[/C][C]0.000220655947124332[/C][/ROW]
[ROW][C]77[/C][C]0.999735692462225[/C][C]0.000528615075550631[/C][C]0.000264307537775316[/C][/ROW]
[ROW][C]78[/C][C]0.999637150254978[/C][C]0.000725699490043967[/C][C]0.000362849745021983[/C][/ROW]
[ROW][C]79[/C][C]0.999555775398108[/C][C]0.0008884492037844[/C][C]0.0004442246018922[/C][/ROW]
[ROW][C]80[/C][C]0.999442132610478[/C][C]0.0011157347790449[/C][C]0.000557867389522452[/C][/ROW]
[ROW][C]81[/C][C]0.99925428028033[/C][C]0.0014914394393405[/C][C]0.000745719719670252[/C][/ROW]
[ROW][C]82[/C][C]0.999084095971736[/C][C]0.00183180805652753[/C][C]0.000915904028263766[/C][/ROW]
[ROW][C]83[/C][C]0.999575665886104[/C][C]0.000848668227791913[/C][C]0.000424334113895957[/C][/ROW]
[ROW][C]84[/C][C]0.99960686814697[/C][C]0.000786263706059138[/C][C]0.000393131853029569[/C][/ROW]
[ROW][C]85[/C][C]0.99975995118022[/C][C]0.000480097639559237[/C][C]0.000240048819779618[/C][/ROW]
[ROW][C]86[/C][C]0.999672083340327[/C][C]0.00065583331934537[/C][C]0.000327916659672685[/C][/ROW]
[ROW][C]87[/C][C]0.999580401327545[/C][C]0.000839197344910848[/C][C]0.000419598672455424[/C][/ROW]
[ROW][C]88[/C][C]0.999459428724245[/C][C]0.00108114255151041[/C][C]0.000540571275755205[/C][/ROW]
[ROW][C]89[/C][C]0.99987083146498[/C][C]0.000258337070040172[/C][C]0.000129168535020086[/C][/ROW]
[ROW][C]90[/C][C]0.999825757278235[/C][C]0.00034848544353074[/C][C]0.00017424272176537[/C][/ROW]
[ROW][C]91[/C][C]0.999798748258129[/C][C]0.000402503483741155[/C][C]0.000201251741870578[/C][/ROW]
[ROW][C]92[/C][C]0.999764021822921[/C][C]0.000471956354157756[/C][C]0.000235978177078878[/C][/ROW]
[ROW][C]93[/C][C]0.999815452030015[/C][C]0.000369095939969147[/C][C]0.000184547969984573[/C][/ROW]
[ROW][C]94[/C][C]0.999750717889326[/C][C]0.000498564221347173[/C][C]0.000249282110673586[/C][/ROW]
[ROW][C]95[/C][C]0.999737416159969[/C][C]0.000525167680062937[/C][C]0.000262583840031468[/C][/ROW]
[ROW][C]96[/C][C]0.999653612674506[/C][C]0.000692774650987675[/C][C]0.000346387325493838[/C][/ROW]
[ROW][C]97[/C][C]0.999564369705485[/C][C]0.000871260589029425[/C][C]0.000435630294514713[/C][/ROW]
[ROW][C]98[/C][C]0.999998820484465[/C][C]2.35903106997064e-06[/C][C]1.17951553498532e-06[/C][/ROW]
[ROW][C]99[/C][C]0.999998623621241[/C][C]2.75275751837942e-06[/C][C]1.37637875918971e-06[/C][/ROW]
[ROW][C]100[/C][C]0.99999794480585[/C][C]4.11038829967516e-06[/C][C]2.05519414983758e-06[/C][/ROW]
[ROW][C]101[/C][C]0.999997073243914[/C][C]5.85351217255602e-06[/C][C]2.92675608627801e-06[/C][/ROW]
[ROW][C]102[/C][C]0.999995726855641[/C][C]8.54628871728025e-06[/C][C]4.27314435864013e-06[/C][/ROW]
[ROW][C]103[/C][C]0.999995463972357[/C][C]9.07205528696036e-06[/C][C]4.53602764348018e-06[/C][/ROW]
[ROW][C]104[/C][C]0.999993268012714[/C][C]1.34639745722003e-05[/C][C]6.73198728610014e-06[/C][/ROW]
[ROW][C]105[/C][C]0.999991062131089[/C][C]1.78757378215328e-05[/C][C]8.93786891076638e-06[/C][/ROW]
[ROW][C]106[/C][C]0.999988605757563[/C][C]2.27884848745462e-05[/C][C]1.13942424372731e-05[/C][/ROW]
[ROW][C]107[/C][C]0.999984786760903[/C][C]3.04264781947534e-05[/C][C]1.52132390973767e-05[/C][/ROW]
[ROW][C]108[/C][C]0.999980839090061[/C][C]3.83218198787429e-05[/C][C]1.91609099393714e-05[/C][/ROW]
[ROW][C]109[/C][C]0.999979677050351[/C][C]4.06458992986331e-05[/C][C]2.03229496493166e-05[/C][/ROW]
[ROW][C]110[/C][C]0.999972411233787[/C][C]5.51775324264585e-05[/C][C]2.75887662132292e-05[/C][/ROW]
[ROW][C]111[/C][C]0.99996326387786[/C][C]7.3472244280477e-05[/C][C]3.67361221402385e-05[/C][/ROW]
[ROW][C]112[/C][C]0.999959172852315[/C][C]8.16542953701773e-05[/C][C]4.08271476850887e-05[/C][/ROW]
[ROW][C]113[/C][C]0.999954166668585[/C][C]9.1666662830609e-05[/C][C]4.58333314153045e-05[/C][/ROW]
[ROW][C]114[/C][C]0.999938165588461[/C][C]0.000123668823076907[/C][C]6.18344115384534e-05[/C][/ROW]
[ROW][C]115[/C][C]0.999939964430755[/C][C]0.000120071138490636[/C][C]6.0035569245318e-05[/C][/ROW]
[ROW][C]116[/C][C]0.999938764226306[/C][C]0.000122471547388922[/C][C]6.1235773694461e-05[/C][/ROW]
[ROW][C]117[/C][C]0.999915167524297[/C][C]0.000169664951405079[/C][C]8.48324757025393e-05[/C][/ROW]
[ROW][C]118[/C][C]0.999951013854666[/C][C]9.79722906682846e-05[/C][C]4.89861453341423e-05[/C][/ROW]
[ROW][C]119[/C][C]0.999980929105753[/C][C]3.81417884940731e-05[/C][C]1.90708942470366e-05[/C][/ROW]
[ROW][C]120[/C][C]0.999986068002614[/C][C]2.78639947722115e-05[/C][C]1.39319973861057e-05[/C][/ROW]
[ROW][C]121[/C][C]0.99998005488444[/C][C]3.98902311204607e-05[/C][C]1.99451155602303e-05[/C][/ROW]
[ROW][C]122[/C][C]0.99998919512424[/C][C]2.16097515204171e-05[/C][C]1.08048757602085e-05[/C][/ROW]
[ROW][C]123[/C][C]0.999988878817563[/C][C]2.22423648743899e-05[/C][C]1.11211824371949e-05[/C][/ROW]
[ROW][C]124[/C][C]0.999998909051064[/C][C]2.18189787275752e-06[/C][C]1.09094893637876e-06[/C][/ROW]
[ROW][C]125[/C][C]0.999999771711535[/C][C]4.56576930088176e-07[/C][C]2.28288465044088e-07[/C][/ROW]
[ROW][C]126[/C][C]0.999999810608585[/C][C]3.78782830326313e-07[/C][C]1.89391415163157e-07[/C][/ROW]
[ROW][C]127[/C][C]0.999999724403134[/C][C]5.51193731501181e-07[/C][C]2.75596865750591e-07[/C][/ROW]
[ROW][C]128[/C][C]0.99999957715403[/C][C]8.45691939996611e-07[/C][C]4.22845969998305e-07[/C][/ROW]
[ROW][C]129[/C][C]0.999999647253094[/C][C]7.05493811921691e-07[/C][C]3.52746905960845e-07[/C][/ROW]
[ROW][C]130[/C][C]0.999999459334358[/C][C]1.08133128346487e-06[/C][C]5.40665641732437e-07[/C][/ROW]
[ROW][C]131[/C][C]0.999999179872578[/C][C]1.64025484403287e-06[/C][C]8.20127422016437e-07[/C][/ROW]
[ROW][C]132[/C][C]0.999999107506902[/C][C]1.78498619499299e-06[/C][C]8.92493097496494e-07[/C][/ROW]
[ROW][C]133[/C][C]0.999998801462003[/C][C]2.39707599407421e-06[/C][C]1.1985379970371e-06[/C][/ROW]
[ROW][C]134[/C][C]0.999999713091413[/C][C]5.73817173060964e-07[/C][C]2.86908586530482e-07[/C][/ROW]
[ROW][C]135[/C][C]0.999999569462839[/C][C]8.61074323011541e-07[/C][C]4.3053716150577e-07[/C][/ROW]
[ROW][C]136[/C][C]0.999999925774065[/C][C]1.484518700723e-07[/C][C]7.42259350361501e-08[/C][/ROW]
[ROW][C]137[/C][C]0.999999882046692[/C][C]2.35906615314449e-07[/C][C]1.17953307657224e-07[/C][/ROW]
[ROW][C]138[/C][C]0.999999898846196[/C][C]2.02307608157457e-07[/C][C]1.01153804078728e-07[/C][/ROW]
[ROW][C]139[/C][C]0.999999916141793[/C][C]1.67716414186755e-07[/C][C]8.38582070933774e-08[/C][/ROW]
[ROW][C]140[/C][C]0.999999885186928[/C][C]2.29626144778125e-07[/C][C]1.14813072389062e-07[/C][/ROW]
[ROW][C]141[/C][C]0.999999857650784[/C][C]2.84698432712495e-07[/C][C]1.42349216356248e-07[/C][/ROW]
[ROW][C]142[/C][C]0.999999781124813[/C][C]4.37750374625662e-07[/C][C]2.18875187312831e-07[/C][/ROW]
[ROW][C]143[/C][C]0.99999965998262[/C][C]6.80034760671582e-07[/C][C]3.40017380335791e-07[/C][/ROW]
[ROW][C]144[/C][C]0.999999487695056[/C][C]1.02460988718872e-06[/C][C]5.1230494359436e-07[/C][/ROW]
[ROW][C]145[/C][C]0.999999296791869[/C][C]1.406416261875e-06[/C][C]7.03208130937498e-07[/C][/ROW]
[ROW][C]146[/C][C]0.999999350488006[/C][C]1.29902398880646e-06[/C][C]6.4951199440323e-07[/C][/ROW]
[ROW][C]147[/C][C]0.999999101373189[/C][C]1.79725362162748e-06[/C][C]8.98626810813739e-07[/C][/ROW]
[ROW][C]148[/C][C]0.99999937597637[/C][C]1.24804725928944e-06[/C][C]6.24023629644721e-07[/C][/ROW]
[ROW][C]149[/C][C]0.999999370133404[/C][C]1.25973319245421e-06[/C][C]6.29866596227104e-07[/C][/ROW]
[ROW][C]150[/C][C]0.999999107038462[/C][C]1.78592307620861e-06[/C][C]8.92961538104305e-07[/C][/ROW]
[ROW][C]151[/C][C]0.999999105439766[/C][C]1.78912046879758e-06[/C][C]8.94560234398788e-07[/C][/ROW]
[ROW][C]152[/C][C]0.999998679812858[/C][C]2.6403742840775e-06[/C][C]1.32018714203875e-06[/C][/ROW]
[ROW][C]153[/C][C]0.999998005897001[/C][C]3.98820599698377e-06[/C][C]1.99410299849189e-06[/C][/ROW]
[ROW][C]154[/C][C]0.999997436022463[/C][C]5.12795507446689e-06[/C][C]2.56397753723344e-06[/C][/ROW]
[ROW][C]155[/C][C]0.999997531285126[/C][C]4.93742974824844e-06[/C][C]2.46871487412422e-06[/C][/ROW]
[ROW][C]156[/C][C]0.999998427007778[/C][C]3.14598444346047e-06[/C][C]1.57299222173024e-06[/C][/ROW]
[ROW][C]157[/C][C]0.999998315757848[/C][C]3.3684843048969e-06[/C][C]1.68424215244845e-06[/C][/ROW]
[ROW][C]158[/C][C]0.999997753000769[/C][C]4.49399846162298e-06[/C][C]2.24699923081149e-06[/C][/ROW]
[ROW][C]159[/C][C]0.999998231434609[/C][C]3.53713078207668e-06[/C][C]1.76856539103834e-06[/C][/ROW]
[ROW][C]160[/C][C]0.999998260042405[/C][C]3.47991518971249e-06[/C][C]1.73995759485625e-06[/C][/ROW]
[ROW][C]161[/C][C]0.999997887403224[/C][C]4.22519355289302e-06[/C][C]2.11259677644651e-06[/C][/ROW]
[ROW][C]162[/C][C]0.999997997956062[/C][C]4.00408787536685e-06[/C][C]2.00204393768343e-06[/C][/ROW]
[ROW][C]163[/C][C]0.999997676734927[/C][C]4.64653014620228e-06[/C][C]2.32326507310114e-06[/C][/ROW]
[ROW][C]164[/C][C]0.999997872067826[/C][C]4.25586434786658e-06[/C][C]2.12793217393329e-06[/C][/ROW]
[ROW][C]165[/C][C]0.999998497482525[/C][C]3.00503494947545e-06[/C][C]1.50251747473772e-06[/C][/ROW]
[ROW][C]166[/C][C]0.999999428129762[/C][C]1.14374047569875e-06[/C][C]5.71870237849375e-07[/C][/ROW]
[ROW][C]167[/C][C]0.99999913853429[/C][C]1.72293141974236e-06[/C][C]8.61465709871182e-07[/C][/ROW]
[ROW][C]168[/C][C]0.99999899170679[/C][C]2.01658642023988e-06[/C][C]1.00829321011994e-06[/C][/ROW]
[ROW][C]169[/C][C]0.999999151258032[/C][C]1.69748393537006e-06[/C][C]8.48741967685032e-07[/C][/ROW]
[ROW][C]170[/C][C]0.999999989612103[/C][C]2.07757944499569e-08[/C][C]1.03878972249784e-08[/C][/ROW]
[ROW][C]171[/C][C]0.999999983090537[/C][C]3.38189256615402e-08[/C][C]1.69094628307701e-08[/C][/ROW]
[ROW][C]172[/C][C]0.999999978667617[/C][C]4.26647663671484e-08[/C][C]2.13323831835742e-08[/C][/ROW]
[ROW][C]173[/C][C]0.999999965207001[/C][C]6.95859974459353e-08[/C][C]3.47929987229676e-08[/C][/ROW]
[ROW][C]174[/C][C]0.99999999426157[/C][C]1.14768602569532e-08[/C][C]5.73843012847659e-09[/C][/ROW]
[ROW][C]175[/C][C]0.999999999340121[/C][C]1.31975873516805e-09[/C][C]6.59879367584024e-10[/C][/ROW]
[ROW][C]176[/C][C]0.999999998844276[/C][C]2.31144883135995e-09[/C][C]1.15572441567998e-09[/C][/ROW]
[ROW][C]177[/C][C]0.99999999947141[/C][C]1.05717992110042e-09[/C][C]5.28589960550209e-10[/C][/ROW]
[ROW][C]178[/C][C]0.999999999150055[/C][C]1.699890712288e-09[/C][C]8.49945356144002e-10[/C][/ROW]
[ROW][C]179[/C][C]0.999999998619552[/C][C]2.76089656451688e-09[/C][C]1.38044828225844e-09[/C][/ROW]
[ROW][C]180[/C][C]0.999999999671235[/C][C]6.57529885178251e-10[/C][C]3.28764942589126e-10[/C][/ROW]
[ROW][C]181[/C][C]0.999999999564044[/C][C]8.71912866911481e-10[/C][C]4.3595643345574e-10[/C][/ROW]
[ROW][C]182[/C][C]0.999999999928286[/C][C]1.43427742183853e-10[/C][C]7.17138710919267e-11[/C][/ROW]
[ROW][C]183[/C][C]0.999999999887294[/C][C]2.25411226850741e-10[/C][C]1.1270561342537e-10[/C][/ROW]
[ROW][C]184[/C][C]0.99999999981101[/C][C]3.77980237469267e-10[/C][C]1.88990118734633e-10[/C][/ROW]
[ROW][C]185[/C][C]0.999999999964164[/C][C]7.16719680771535e-11[/C][C]3.58359840385768e-11[/C][/ROW]
[ROW][C]186[/C][C]0.999999999945719[/C][C]1.08561911534889e-10[/C][C]5.42809557674447e-11[/C][/ROW]
[ROW][C]187[/C][C]0.999999999930696[/C][C]1.3860718107787e-10[/C][C]6.93035905389349e-11[/C][/ROW]
[ROW][C]188[/C][C]0.999999999914758[/C][C]1.70484785893847e-10[/C][C]8.52423929469233e-11[/C][/ROW]
[ROW][C]189[/C][C]0.999999999899444[/C][C]2.01111476927242e-10[/C][C]1.00555738463621e-10[/C][/ROW]
[ROW][C]190[/C][C]0.999999999855542[/C][C]2.88915625738994e-10[/C][C]1.44457812869497e-10[/C][/ROW]
[ROW][C]191[/C][C]0.999999999738291[/C][C]5.23417626740533e-10[/C][C]2.61708813370267e-10[/C][/ROW]
[ROW][C]192[/C][C]0.999999999532589[/C][C]9.34822283709404e-10[/C][C]4.67411141854702e-10[/C][/ROW]
[ROW][C]193[/C][C]0.999999999187831[/C][C]1.62433891819233e-09[/C][C]8.12169459096163e-10[/C][/ROW]
[ROW][C]194[/C][C]0.999999998683799[/C][C]2.63240248420558e-09[/C][C]1.31620124210279e-09[/C][/ROW]
[ROW][C]195[/C][C]0.999999998261063[/C][C]3.47787406413733e-09[/C][C]1.73893703206866e-09[/C][/ROW]
[ROW][C]196[/C][C]0.999999998006207[/C][C]3.98758547218782e-09[/C][C]1.99379273609391e-09[/C][/ROW]
[ROW][C]197[/C][C]0.999999997339355[/C][C]5.32128996556674e-09[/C][C]2.66064498278337e-09[/C][/ROW]
[ROW][C]198[/C][C]0.999999995262582[/C][C]9.47483686191074e-09[/C][C]4.73741843095537e-09[/C][/ROW]
[ROW][C]199[/C][C]0.999999996464558[/C][C]7.07088500317044e-09[/C][C]3.53544250158522e-09[/C][/ROW]
[ROW][C]200[/C][C]0.999999993520447[/C][C]1.29591069729694e-08[/C][C]6.47955348648468e-09[/C][/ROW]
[ROW][C]201[/C][C]0.999999989191704[/C][C]2.16165924922021e-08[/C][C]1.08082962461011e-08[/C][/ROW]
[ROW][C]202[/C][C]0.999999980754953[/C][C]3.84900941989315e-08[/C][C]1.92450470994658e-08[/C][/ROW]
[ROW][C]203[/C][C]0.999999974520949[/C][C]5.09581018297828e-08[/C][C]2.54790509148914e-08[/C][/ROW]
[ROW][C]204[/C][C]0.999999955772755[/C][C]8.84544894997917e-08[/C][C]4.42272447498958e-08[/C][/ROW]
[ROW][C]205[/C][C]0.999999956317774[/C][C]8.7364451501685e-08[/C][C]4.36822257508425e-08[/C][/ROW]
[ROW][C]206[/C][C]0.999999932788312[/C][C]1.34423375042658e-07[/C][C]6.72116875213292e-08[/C][/ROW]
[ROW][C]207[/C][C]0.999999881390224[/C][C]2.37219552337929e-07[/C][C]1.18609776168965e-07[/C][/ROW]
[ROW][C]208[/C][C]0.999999982133411[/C][C]3.57331782864476e-08[/C][C]1.78665891432238e-08[/C][/ROW]
[ROW][C]209[/C][C]0.999999989275728[/C][C]2.14485434571139e-08[/C][C]1.07242717285569e-08[/C][/ROW]
[ROW][C]210[/C][C]0.999999989801654[/C][C]2.03966915905509e-08[/C][C]1.01983457952755e-08[/C][/ROW]
[ROW][C]211[/C][C]0.999999987778555[/C][C]2.44428906082492e-08[/C][C]1.22214453041246e-08[/C][/ROW]
[ROW][C]212[/C][C]0.999999996077239[/C][C]7.84552228934563e-09[/C][C]3.92276114467282e-09[/C][/ROW]
[ROW][C]213[/C][C]0.999999992479741[/C][C]1.50405173997121e-08[/C][C]7.52025869985603e-09[/C][/ROW]
[ROW][C]214[/C][C]0.999999987134534[/C][C]2.57309315315386e-08[/C][C]1.28654657657693e-08[/C][/ROW]
[ROW][C]215[/C][C]0.999999990961488[/C][C]1.80770241964303e-08[/C][C]9.03851209821513e-09[/C][/ROW]
[ROW][C]216[/C][C]0.999999984415959[/C][C]3.11680811372561e-08[/C][C]1.55840405686281e-08[/C][/ROW]
[ROW][C]217[/C][C]0.999999988459902[/C][C]2.30801962464434e-08[/C][C]1.15400981232217e-08[/C][/ROW]
[ROW][C]218[/C][C]0.999999977996571[/C][C]4.40068580560596e-08[/C][C]2.20034290280298e-08[/C][/ROW]
[ROW][C]219[/C][C]0.999999962444145[/C][C]7.5111709116705e-08[/C][C]3.75558545583525e-08[/C][/ROW]
[ROW][C]220[/C][C]0.999999971660456[/C][C]5.66790878643371e-08[/C][C]2.83395439321686e-08[/C][/ROW]
[ROW][C]221[/C][C]0.999999949012194[/C][C]1.01975611127276e-07[/C][C]5.09878055636379e-08[/C][/ROW]
[ROW][C]222[/C][C]0.999999906113386[/C][C]1.87773227396595e-07[/C][C]9.38866136982975e-08[/C][/ROW]
[ROW][C]223[/C][C]0.999999945538321[/C][C]1.08923358702099e-07[/C][C]5.44616793510497e-08[/C][/ROW]
[ROW][C]224[/C][C]0.999999912483434[/C][C]1.750331318758e-07[/C][C]8.75165659378999e-08[/C][/ROW]
[ROW][C]225[/C][C]0.999999836764573[/C][C]3.26470853962425e-07[/C][C]1.63235426981212e-07[/C][/ROW]
[ROW][C]226[/C][C]0.999999727722547[/C][C]5.4455490541378e-07[/C][C]2.7227745270689e-07[/C][/ROW]
[ROW][C]227[/C][C]0.999999578153009[/C][C]8.43693981179932e-07[/C][C]4.21846990589966e-07[/C][/ROW]
[ROW][C]228[/C][C]0.999999473856453[/C][C]1.05228709402352e-06[/C][C]5.26143547011758e-07[/C][/ROW]
[ROW][C]229[/C][C]0.999999414458452[/C][C]1.17108309575397e-06[/C][C]5.85541547876983e-07[/C][/ROW]
[ROW][C]230[/C][C]0.999999660969166[/C][C]6.78061668383482e-07[/C][C]3.39030834191741e-07[/C][/ROW]
[ROW][C]231[/C][C]0.999999577157347[/C][C]8.45685306420446e-07[/C][C]4.22842653210223e-07[/C][/ROW]
[ROW][C]232[/C][C]0.99999920890017[/C][C]1.58219965917673e-06[/C][C]7.91099829588363e-07[/C][/ROW]
[ROW][C]233[/C][C]0.999999629461937[/C][C]7.41076125653567e-07[/C][C]3.70538062826784e-07[/C][/ROW]
[ROW][C]234[/C][C]0.9999994011872[/C][C]1.1976256004925e-06[/C][C]5.98812800246249e-07[/C][/ROW]
[ROW][C]235[/C][C]0.999999763229492[/C][C]4.73541015341867e-07[/C][C]2.36770507670933e-07[/C][/ROW]
[ROW][C]236[/C][C]0.999999569322146[/C][C]8.61355708632649e-07[/C][C]4.30677854316324e-07[/C][/ROW]
[ROW][C]237[/C][C]0.999999993925932[/C][C]1.21481363811322e-08[/C][C]6.0740681905661e-09[/C][/ROW]
[ROW][C]238[/C][C]0.99999998917157[/C][C]2.16568605065077e-08[/C][C]1.08284302532539e-08[/C][/ROW]
[ROW][C]239[/C][C]0.999999979809915[/C][C]4.03801703396722e-08[/C][C]2.01900851698361e-08[/C][/ROW]
[ROW][C]240[/C][C]0.999999987036453[/C][C]2.59270938945498e-08[/C][C]1.29635469472749e-08[/C][/ROW]
[ROW][C]241[/C][C]0.999999974203956[/C][C]5.1592087636924e-08[/C][C]2.5796043818462e-08[/C][/ROW]
[ROW][C]242[/C][C]0.999999943820411[/C][C]1.12359178444936e-07[/C][C]5.6179589222468e-08[/C][/ROW]
[ROW][C]243[/C][C]0.999999919579985[/C][C]1.6084003081206e-07[/C][C]8.04200154060298e-08[/C][/ROW]
[ROW][C]244[/C][C]0.999999845821918[/C][C]3.08356164101273e-07[/C][C]1.54178082050637e-07[/C][/ROW]
[ROW][C]245[/C][C]0.999999669875803[/C][C]6.60248393889846e-07[/C][C]3.30124196944923e-07[/C][/ROW]
[ROW][C]246[/C][C]0.999999331514298[/C][C]1.33697140476577e-06[/C][C]6.68485702382883e-07[/C][/ROW]
[ROW][C]247[/C][C]0.999998821819419[/C][C]2.35636116288617e-06[/C][C]1.17818058144308e-06[/C][/ROW]
[ROW][C]248[/C][C]0.999998319915108[/C][C]3.36016978381692e-06[/C][C]1.68008489190846e-06[/C][/ROW]
[ROW][C]249[/C][C]0.999996582063184[/C][C]6.83587363271926e-06[/C][C]3.41793681635963e-06[/C][/ROW]
[ROW][C]250[/C][C]0.999996701016532[/C][C]6.59796693670271e-06[/C][C]3.29898346835136e-06[/C][/ROW]
[ROW][C]251[/C][C]0.9999958266062[/C][C]8.34678759999454e-06[/C][C]4.17339379999727e-06[/C][/ROW]
[ROW][C]252[/C][C]0.999993229846684[/C][C]1.35403066317625e-05[/C][C]6.77015331588125e-06[/C][/ROW]
[ROW][C]253[/C][C]0.999986006095487[/C][C]2.79878090260696e-05[/C][C]1.39939045130348e-05[/C][/ROW]
[ROW][C]254[/C][C]0.999970970306881[/C][C]5.80593862374891e-05[/C][C]2.90296931187446e-05[/C][/ROW]
[ROW][C]255[/C][C]0.999964668889405[/C][C]7.06622211905013e-05[/C][C]3.53311105952507e-05[/C][/ROW]
[ROW][C]256[/C][C]0.999935725364191[/C][C]0.000128549271617299[/C][C]6.42746358086493e-05[/C][/ROW]
[ROW][C]257[/C][C]0.999920777616441[/C][C]0.000158444767118156[/C][C]7.92223835590779e-05[/C][/ROW]
[ROW][C]258[/C][C]0.999857938558914[/C][C]0.00028412288217133[/C][C]0.000142061441085665[/C][/ROW]
[ROW][C]259[/C][C]0.99974622968557[/C][C]0.00050754062886052[/C][C]0.00025377031443026[/C][/ROW]
[ROW][C]260[/C][C]0.999504130210863[/C][C]0.000991739578273658[/C][C]0.000495869789136829[/C][/ROW]
[ROW][C]261[/C][C]0.999765482511353[/C][C]0.000469034977293975[/C][C]0.000234517488646987[/C][/ROW]
[ROW][C]262[/C][C]0.999633412246579[/C][C]0.000733175506841387[/C][C]0.000366587753420694[/C][/ROW]
[ROW][C]263[/C][C]0.999260925012748[/C][C]0.00147814997450449[/C][C]0.000739074987252245[/C][/ROW]
[ROW][C]264[/C][C]0.998641369104976[/C][C]0.00271726179004707[/C][C]0.00135863089502353[/C][/ROW]
[ROW][C]265[/C][C]0.998186972806946[/C][C]0.00362605438610871[/C][C]0.00181302719305436[/C][/ROW]
[ROW][C]266[/C][C]0.996999665427752[/C][C]0.00600066914449564[/C][C]0.00300033457224782[/C][/ROW]
[ROW][C]267[/C][C]0.995714488854164[/C][C]0.00857102229167122[/C][C]0.00428551114583561[/C][/ROW]
[ROW][C]268[/C][C]0.993168329022162[/C][C]0.0136633419556756[/C][C]0.00683167097783778[/C][/ROW]
[ROW][C]269[/C][C]0.999950484033198[/C][C]9.903193360442e-05[/C][C]4.951596680221e-05[/C][/ROW]
[ROW][C]270[/C][C]0.999983854692543[/C][C]3.22906149138059e-05[/C][C]1.61453074569029e-05[/C][/ROW]
[ROW][C]271[/C][C]0.999986105124481[/C][C]2.77897510376383e-05[/C][C]1.38948755188191e-05[/C][/ROW]
[ROW][C]272[/C][C]0.999945882390839[/C][C]0.00010823521832133[/C][C]5.41176091606648e-05[/C][/ROW]
[ROW][C]273[/C][C]0.999955160724276[/C][C]8.9678551448774e-05[/C][C]4.4839275724387e-05[/C][/ROW]
[ROW][C]274[/C][C]0.999840495110369[/C][C]0.000319009779261207[/C][C]0.000159504889630604[/C][/ROW]
[ROW][C]275[/C][C]0.999486778869211[/C][C]0.00102644226157812[/C][C]0.000513221130789058[/C][/ROW]
[ROW][C]276[/C][C]0.998504396553191[/C][C]0.00299120689361873[/C][C]0.00149560344680937[/C][/ROW]
[ROW][C]277[/C][C]0.996804705061305[/C][C]0.00639058987738908[/C][C]0.00319529493869454[/C][/ROW]
[ROW][C]278[/C][C]0.987680677092347[/C][C]0.0246386458153055[/C][C]0.0123193229076528[/C][/ROW]
[ROW][C]279[/C][C]0.955358905976321[/C][C]0.0892821880473588[/C][C]0.0446410940236794[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198374&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198374&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
100.9987200036724550.002559992655089920.00127999632754496
110.9966508570940850.006698285811830710.00334914290591535
120.9926541645835090.01469167083298150.00734583541649074
130.9860749030457420.02785019390851620.0139250969542581
140.9744624656054610.05107506878907870.0255375343945394
150.9608102657776120.07837946844477650.0391897342223882
160.9660898272523470.0678203454953060.033910172747653
170.9793711567151990.04125768656960270.0206288432848014
180.9760959662841390.04780806743172110.0239040337158606
190.9671504194205580.0656991611588840.032849580579442
200.9525468905369320.09490621892613550.0474531094630677
210.9321929931505930.1356140136988130.0678070068494067
220.9058463424568720.1883073150862570.0941536575431284
230.9967806031712720.006438793657455020.00321939682872751
240.995717522531560.008564954936879370.00428247746843968
250.9957841389416750.008431722116650760.00421586105832538
260.9995608170523410.0008783658953173780.000439182947658689
270.9996492756952110.000701448609578090.000350724304789045
280.9994299613113160.00114007737736780.000570038688683898
290.9997593999278750.0004812001442501970.000240600072125098
300.9996388248381070.0007223503237866970.000361175161893348
310.9994645653882720.001070869223456920.000535434611728462
320.9991515570373470.001696885925306050.000848442962653023
330.9988258024973340.002348395005331080.00117419750266554
340.9991889112882270.001622177423546520.000811088711773259
350.9991646665736020.0016706668527950.000835333426397499
360.9990960664290110.001807867141977080.000903933570988542
370.999036381178530.001927237642940510.000963618821470253
380.9986218528880630.002756294223874640.00137814711193732
390.9997003771435090.0005992457129814820.000299622856490741
400.999537935617070.0009241287658604570.000462064382930228
410.9993460166798340.001307966640332380.000653983320166192
420.9992664162379860.001467167524027570.000733583762013783
430.9992001978587140.001599604282572210.000799802141286103
440.9990570346074460.001885930785107360.00094296539255368
450.9986275226027410.002744954794518770.00137247739725938
460.9981774989310010.003645002137996950.00182250106899848
470.9981722117654580.003655576469083850.00182778823454192
480.9974452680890670.00510946382186670.00255473191093335
490.9964984459432620.007003108113475550.00350155405673778
500.999995873487148.25302571926276e-064.12651285963138e-06
510.9999937876191511.24247616979853e-056.21238084899266e-06
520.9999928009979481.43980041043873e-057.19900205219367e-06
530.9999890037133172.19925733650379e-051.09962866825189e-05
540.9999882266297352.35467405296726e-051.17733702648363e-05
550.9999929063197781.41873604449585e-057.09368022247927e-06
560.9999895461363952.09077272101419e-051.0453863605071e-05
570.9999861060064682.77879870650335e-051.38939935325167e-05
580.9999913867166041.72265667924191e-058.61328339620956e-06
590.9999864864570152.70270859699726e-051.35135429849863e-05
600.9999799014943894.01970112222026e-052.00985056111013e-05
610.9999699778353746.00443292511541e-053.0022164625577e-05
620.9999626865735857.46268528301415e-053.73134264150708e-05
630.999947942830690.0001041143386207385.2057169310369e-05
640.9999246505236870.0001506989526257647.53494763128818e-05
650.999906574194890.0001868516102206359.34258051103177e-05
660.9998674127342890.0002651745314217510.000132587265710875
670.9998947294049450.0002105411901106530.000105270595055327
680.9998635649168980.0002728701662038470.000136435083101923
690.9998355906302860.0003288187394273010.00016440936971365
700.9998298906570940.000340218685811490.000170109342905745
710.9997699148310850.0004601703378303210.00023008516891516
720.9997508635358540.0004982729282920030.000249136464146001
730.9998401599669860.0003196800660271820.000159840033013591
740.9998643509974450.0002712980051095960.000135649002554798
750.9998387151179420.0003225697641159220.000161284882057961
760.9997793440528760.0004413118942486650.000220655947124332
770.9997356924622250.0005286150755506310.000264307537775316
780.9996371502549780.0007256994900439670.000362849745021983
790.9995557753981080.00088844920378440.0004442246018922
800.9994421326104780.00111573477904490.000557867389522452
810.999254280280330.00149143943934050.000745719719670252
820.9990840959717360.001831808056527530.000915904028263766
830.9995756658861040.0008486682277919130.000424334113895957
840.999606868146970.0007862637060591380.000393131853029569
850.999759951180220.0004800976395592370.000240048819779618
860.9996720833403270.000655833319345370.000327916659672685
870.9995804013275450.0008391973449108480.000419598672455424
880.9994594287242450.001081142551510410.000540571275755205
890.999870831464980.0002583370700401720.000129168535020086
900.9998257572782350.000348485443530740.00017424272176537
910.9997987482581290.0004025034837411550.000201251741870578
920.9997640218229210.0004719563541577560.000235978177078878
930.9998154520300150.0003690959399691470.000184547969984573
940.9997507178893260.0004985642213471730.000249282110673586
950.9997374161599690.0005251676800629370.000262583840031468
960.9996536126745060.0006927746509876750.000346387325493838
970.9995643697054850.0008712605890294250.000435630294514713
980.9999988204844652.35903106997064e-061.17951553498532e-06
990.9999986236212412.75275751837942e-061.37637875918971e-06
1000.999997944805854.11038829967516e-062.05519414983758e-06
1010.9999970732439145.85351217255602e-062.92675608627801e-06
1020.9999957268556418.54628871728025e-064.27314435864013e-06
1030.9999954639723579.07205528696036e-064.53602764348018e-06
1040.9999932680127141.34639745722003e-056.73198728610014e-06
1050.9999910621310891.78757378215328e-058.93786891076638e-06
1060.9999886057575632.27884848745462e-051.13942424372731e-05
1070.9999847867609033.04264781947534e-051.52132390973767e-05
1080.9999808390900613.83218198787429e-051.91609099393714e-05
1090.9999796770503514.06458992986331e-052.03229496493166e-05
1100.9999724112337875.51775324264585e-052.75887662132292e-05
1110.999963263877867.3472244280477e-053.67361221402385e-05
1120.9999591728523158.16542953701773e-054.08271476850887e-05
1130.9999541666685859.1666662830609e-054.58333314153045e-05
1140.9999381655884610.0001236688230769076.18344115384534e-05
1150.9999399644307550.0001200711384906366.0035569245318e-05
1160.9999387642263060.0001224715473889226.1235773694461e-05
1170.9999151675242970.0001696649514050798.48324757025393e-05
1180.9999510138546669.79722906682846e-054.89861453341423e-05
1190.9999809291057533.81417884940731e-051.90708942470366e-05
1200.9999860680026142.78639947722115e-051.39319973861057e-05
1210.999980054884443.98902311204607e-051.99451155602303e-05
1220.999989195124242.16097515204171e-051.08048757602085e-05
1230.9999888788175632.22423648743899e-051.11211824371949e-05
1240.9999989090510642.18189787275752e-061.09094893637876e-06
1250.9999997717115354.56576930088176e-072.28288465044088e-07
1260.9999998106085853.78782830326313e-071.89391415163157e-07
1270.9999997244031345.51193731501181e-072.75596865750591e-07
1280.999999577154038.45691939996611e-074.22845969998305e-07
1290.9999996472530947.05493811921691e-073.52746905960845e-07
1300.9999994593343581.08133128346487e-065.40665641732437e-07
1310.9999991798725781.64025484403287e-068.20127422016437e-07
1320.9999991075069021.78498619499299e-068.92493097496494e-07
1330.9999988014620032.39707599407421e-061.1985379970371e-06
1340.9999997130914135.73817173060964e-072.86908586530482e-07
1350.9999995694628398.61074323011541e-074.3053716150577e-07
1360.9999999257740651.484518700723e-077.42259350361501e-08
1370.9999998820466922.35906615314449e-071.17953307657224e-07
1380.9999998988461962.02307608157457e-071.01153804078728e-07
1390.9999999161417931.67716414186755e-078.38582070933774e-08
1400.9999998851869282.29626144778125e-071.14813072389062e-07
1410.9999998576507842.84698432712495e-071.42349216356248e-07
1420.9999997811248134.37750374625662e-072.18875187312831e-07
1430.999999659982626.80034760671582e-073.40017380335791e-07
1440.9999994876950561.02460988718872e-065.1230494359436e-07
1450.9999992967918691.406416261875e-067.03208130937498e-07
1460.9999993504880061.29902398880646e-066.4951199440323e-07
1470.9999991013731891.79725362162748e-068.98626810813739e-07
1480.999999375976371.24804725928944e-066.24023629644721e-07
1490.9999993701334041.25973319245421e-066.29866596227104e-07
1500.9999991070384621.78592307620861e-068.92961538104305e-07
1510.9999991054397661.78912046879758e-068.94560234398788e-07
1520.9999986798128582.6403742840775e-061.32018714203875e-06
1530.9999980058970013.98820599698377e-061.99410299849189e-06
1540.9999974360224635.12795507446689e-062.56397753723344e-06
1550.9999975312851264.93742974824844e-062.46871487412422e-06
1560.9999984270077783.14598444346047e-061.57299222173024e-06
1570.9999983157578483.3684843048969e-061.68424215244845e-06
1580.9999977530007694.49399846162298e-062.24699923081149e-06
1590.9999982314346093.53713078207668e-061.76856539103834e-06
1600.9999982600424053.47991518971249e-061.73995759485625e-06
1610.9999978874032244.22519355289302e-062.11259677644651e-06
1620.9999979979560624.00408787536685e-062.00204393768343e-06
1630.9999976767349274.64653014620228e-062.32326507310114e-06
1640.9999978720678264.25586434786658e-062.12793217393329e-06
1650.9999984974825253.00503494947545e-061.50251747473772e-06
1660.9999994281297621.14374047569875e-065.71870237849375e-07
1670.999999138534291.72293141974236e-068.61465709871182e-07
1680.999998991706792.01658642023988e-061.00829321011994e-06
1690.9999991512580321.69748393537006e-068.48741967685032e-07
1700.9999999896121032.07757944499569e-081.03878972249784e-08
1710.9999999830905373.38189256615402e-081.69094628307701e-08
1720.9999999786676174.26647663671484e-082.13323831835742e-08
1730.9999999652070016.95859974459353e-083.47929987229676e-08
1740.999999994261571.14768602569532e-085.73843012847659e-09
1750.9999999993401211.31975873516805e-096.59879367584024e-10
1760.9999999988442762.31144883135995e-091.15572441567998e-09
1770.999999999471411.05717992110042e-095.28589960550209e-10
1780.9999999991500551.699890712288e-098.49945356144002e-10
1790.9999999986195522.76089656451688e-091.38044828225844e-09
1800.9999999996712356.57529885178251e-103.28764942589126e-10
1810.9999999995640448.71912866911481e-104.3595643345574e-10
1820.9999999999282861.43427742183853e-107.17138710919267e-11
1830.9999999998872942.25411226850741e-101.1270561342537e-10
1840.999999999811013.77980237469267e-101.88990118734633e-10
1850.9999999999641647.16719680771535e-113.58359840385768e-11
1860.9999999999457191.08561911534889e-105.42809557674447e-11
1870.9999999999306961.3860718107787e-106.93035905389349e-11
1880.9999999999147581.70484785893847e-108.52423929469233e-11
1890.9999999998994442.01111476927242e-101.00555738463621e-10
1900.9999999998555422.88915625738994e-101.44457812869497e-10
1910.9999999997382915.23417626740533e-102.61708813370267e-10
1920.9999999995325899.34822283709404e-104.67411141854702e-10
1930.9999999991878311.62433891819233e-098.12169459096163e-10
1940.9999999986837992.63240248420558e-091.31620124210279e-09
1950.9999999982610633.47787406413733e-091.73893703206866e-09
1960.9999999980062073.98758547218782e-091.99379273609391e-09
1970.9999999973393555.32128996556674e-092.66064498278337e-09
1980.9999999952625829.47483686191074e-094.73741843095537e-09
1990.9999999964645587.07088500317044e-093.53544250158522e-09
2000.9999999935204471.29591069729694e-086.47955348648468e-09
2010.9999999891917042.16165924922021e-081.08082962461011e-08
2020.9999999807549533.84900941989315e-081.92450470994658e-08
2030.9999999745209495.09581018297828e-082.54790509148914e-08
2040.9999999557727558.84544894997917e-084.42272447498958e-08
2050.9999999563177748.7364451501685e-084.36822257508425e-08
2060.9999999327883121.34423375042658e-076.72116875213292e-08
2070.9999998813902242.37219552337929e-071.18609776168965e-07
2080.9999999821334113.57331782864476e-081.78665891432238e-08
2090.9999999892757282.14485434571139e-081.07242717285569e-08
2100.9999999898016542.03966915905509e-081.01983457952755e-08
2110.9999999877785552.44428906082492e-081.22214453041246e-08
2120.9999999960772397.84552228934563e-093.92276114467282e-09
2130.9999999924797411.50405173997121e-087.52025869985603e-09
2140.9999999871345342.57309315315386e-081.28654657657693e-08
2150.9999999909614881.80770241964303e-089.03851209821513e-09
2160.9999999844159593.11680811372561e-081.55840405686281e-08
2170.9999999884599022.30801962464434e-081.15400981232217e-08
2180.9999999779965714.40068580560596e-082.20034290280298e-08
2190.9999999624441457.5111709116705e-083.75558545583525e-08
2200.9999999716604565.66790878643371e-082.83395439321686e-08
2210.9999999490121941.01975611127276e-075.09878055636379e-08
2220.9999999061133861.87773227396595e-079.38866136982975e-08
2230.9999999455383211.08923358702099e-075.44616793510497e-08
2240.9999999124834341.750331318758e-078.75165659378999e-08
2250.9999998367645733.26470853962425e-071.63235426981212e-07
2260.9999997277225475.4455490541378e-072.7227745270689e-07
2270.9999995781530098.43693981179932e-074.21846990589966e-07
2280.9999994738564531.05228709402352e-065.26143547011758e-07
2290.9999994144584521.17108309575397e-065.85541547876983e-07
2300.9999996609691666.78061668383482e-073.39030834191741e-07
2310.9999995771573478.45685306420446e-074.22842653210223e-07
2320.999999208900171.58219965917673e-067.91099829588363e-07
2330.9999996294619377.41076125653567e-073.70538062826784e-07
2340.99999940118721.1976256004925e-065.98812800246249e-07
2350.9999997632294924.73541015341867e-072.36770507670933e-07
2360.9999995693221468.61355708632649e-074.30677854316324e-07
2370.9999999939259321.21481363811322e-086.0740681905661e-09
2380.999999989171572.16568605065077e-081.08284302532539e-08
2390.9999999798099154.03801703396722e-082.01900851698361e-08
2400.9999999870364532.59270938945498e-081.29635469472749e-08
2410.9999999742039565.1592087636924e-082.5796043818462e-08
2420.9999999438204111.12359178444936e-075.6179589222468e-08
2430.9999999195799851.6084003081206e-078.04200154060298e-08
2440.9999998458219183.08356164101273e-071.54178082050637e-07
2450.9999996698758036.60248393889846e-073.30124196944923e-07
2460.9999993315142981.33697140476577e-066.68485702382883e-07
2470.9999988218194192.35636116288617e-061.17818058144308e-06
2480.9999983199151083.36016978381692e-061.68008489190846e-06
2490.9999965820631846.83587363271926e-063.41793681635963e-06
2500.9999967010165326.59796693670271e-063.29898346835136e-06
2510.99999582660628.34678759999454e-064.17339379999727e-06
2520.9999932298466841.35403066317625e-056.77015331588125e-06
2530.9999860060954872.79878090260696e-051.39939045130348e-05
2540.9999709703068815.80593862374891e-052.90296931187446e-05
2550.9999646688894057.06622211905013e-053.53311105952507e-05
2560.9999357253641910.0001285492716172996.42746358086493e-05
2570.9999207776164410.0001584447671181567.92223835590779e-05
2580.9998579385589140.000284122882171330.000142061441085665
2590.999746229685570.000507540628860520.00025377031443026
2600.9995041302108630.0009917395782736580.000495869789136829
2610.9997654825113530.0004690349772939750.000234517488646987
2620.9996334122465790.0007331755068413870.000366587753420694
2630.9992609250127480.001478149974504490.000739074987252245
2640.9986413691049760.002717261790047070.00135863089502353
2650.9981869728069460.003626054386108710.00181302719305436
2660.9969996654277520.006000669144495640.00300033457224782
2670.9957144888541640.008571022291671220.00428551114583561
2680.9931683290221620.01366334195567560.00683167097783778
2690.9999504840331989.903193360442e-054.951596680221e-05
2700.9999838546925433.22906149138059e-051.61453074569029e-05
2710.9999861051244812.77897510376383e-051.38948755188191e-05
2720.9999458823908390.000108235218321335.41176091606648e-05
2730.9999551607242768.9678551448774e-054.4839275724387e-05
2740.9998404951103690.0003190097792612070.000159504889630604
2750.9994867788692110.001026442261578120.000513221130789058
2760.9985043965531910.002991206893618730.00149560344680937
2770.9968047050613050.006390589877389080.00319529493869454
2780.9876806770923470.02463864581530550.0123193229076528
2790.9553589059763210.08928218804735880.0446410940236794







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2560.948148148148148NOK
5% type I error level2620.97037037037037NOK
10% type I error level2680.992592592592593NOK

\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 & 256 & 0.948148148148148 & NOK \tabularnewline
5% type I error level & 262 & 0.97037037037037 & NOK \tabularnewline
10% type I error level & 268 & 0.992592592592593 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198374&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]256[/C][C]0.948148148148148[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]262[/C][C]0.97037037037037[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]268[/C][C]0.992592592592593[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198374&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198374&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 level2560.948148148148148NOK
5% type I error level2620.97037037037037NOK
10% type I error level2680.992592592592593NOK



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