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Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationSun, 18 Nov 2012 11:15:58 -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/Nov/18/t1353255408mjsglh6z05424wn.htm/, Retrieved Thu, 31 Oct 2024 23:26:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=190244, Retrieved Thu, 31 Oct 2024 23:26:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact161
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [WS 7 ] [2012-11-18 16:15:58] [6b9eda33bf4cae06c9f9f024b199ddfb] [Current]
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Dataseries X:
210907	56	396	81	3	79	30
120982	56	297	55	4	58	28
176508	54	559	50	12	60	38
179321	89	967	125	2	108	30
123185	40	270	40	1	49	22
52746	25	143	37	3	0	26
385534	92	1562	63	0	121	25
33170	18	109	44	0	1	18
101645	63	371	88	0	20	11
149061	44	656	66	5	43	26
165446	33	511	57	0	69	25
237213	84	655	74	0	78	38
173326	88	465	49	7	86	44
133131	55	525	52	7	44	30
258873	60	885	88	3	104	40
180083	66	497	36	9	63	34
324799	154	1436	108	0	158	47
230964	53	612	43	4	102	30
236785	119	865	75	3	77	31
135473	41	385	32	0	82	23
202925	61	567	44	7	115	36
215147	58	639	85	0	101	36
344297	75	963	86	1	80	30
153935	33	398	56	5	50	25
132943	40	410	50	7	83	39
174724	92	966	135	0	123	34
174415	100	801	63	0	73	31
225548	112	892	81	5	81	31
223632	73	513	52	0	105	33
124817	40	469	44	0	47	25
221698	45	683	113	0	105	33
210767	60	643	39	3	94	35
170266	62	535	73	4	44	42
260561	75	625	48	1	114	43
84853	31	264	33	4	38	30
294424	77	992	59	2	107	33
101011	34	238	41	0	30	13
215641	46	818	69	0	71	32
325107	99	937	64	0	84	36
7176	17	70	1	0	0	0
167542	66	507	59	2	59	28
106408	30	260	32	1	33	14
96560	76	503	129	0	42	17
265769	146	927	37	2	96	32
269651	67	1269	31	10	106	30
149112	56	537	65	6	56	35
175824	107	910	107	0	57	20
152871	58	532	74	5	59	28
111665	34	345	54	4	39	28
116408	61	918	76	1	34	39
362301	119	1635	715	2	76	34
78800	42	330	57	2	20	26
183167	66	557	66	0	91	39
277965	89	1178	106	8	115	39
150629	44	740	54	3	85	33
168809	66	452	32	0	76	28
24188	24	218	20	0	8	4
329267	259	764	71	8	79	39
65029	17	255	21	5	21	18
101097	64	454	70	3	30	14
218946	41	866	112	1	76	29
244052	68	574	66	5	101	44
341570	168	1276	190	1	94	21
103597	43	379	66	1	27	16
233328	132	825	165	5	92	28
256462	105	798	56	0	123	35
206161	71	663	61	12	75	28
311473	112	1069	53	8	128	38
235800	94	921	127	8	105	23
177939	82	858	63	8	55	36
207176	70	711	38	8	56	32
196553	57	503	50	2	41	29
174184	53	382	52	0	72	25
143246	103	464	42	5	67	27
187559	121	717	76	8	75	36
187681	62	690	67	2	114	28
119016	52	462	50	5	118	23
182192	52	657	53	12	77	40
73566	32	385	39	6	22	23
194979	62	577	50	7	66	40
167488	45	619	77	2	69	28
143756	46	479	57	0	105	34
275541	63	817	73	4	116	33
243199	75	752	34	3	88	28
182999	88	430	39	6	73	34
135649	46	451	46	2	99	30
152299	53	537	63	0	62	33
120221	37	519	35	1	53	22
346485	90	1000	106	0	118	38
145790	63	637	43	5	30	26
193339	78	465	47	2	100	35
80953	25	437	31	0	49	8
122774	45	711	162	0	24	24
130585	46	299	57	5	67	29
112611	41	248	36	0	46	20
286468	144	1162	263	1	57	29
241066	82	714	78	0	75	45
148446	91	905	63	1	135	37
204713	71	649	54	1	68	33
182079	63	512	63	2	124	33
140344	53	472	77	6	33	25
220516	62	905	79	1	98	32
243060	63	786	110	4	58	29
162765	32	489	56	2	68	28
182613	39	479	56	3	81	28
232138	62	617	43	0	131	31
265318	117	925	111	10	110	52
85574	34	351	71	0	37	21
310839	92	1144	62	9	130	24
225060	93	669	56	7	93	41
232317	54	707	74	0	118	33
144966	144	458	60	0	39	32
43287	14	214	43	4	13	19
155754	61	599	68	4	74	20
164709	109	572	53	0	81	31
201940	38	897	87	0	109	31
235454	73	819	46	0	151	32
220801	75	720	105	1	51	18
99466	50	273	32	0	28	23
92661	61	508	133	1	40	17
133328	55	506	79	0	56	20
61361	77	451	51	0	27	12
125930	75	699	207	4	37	17
100750	72	407	67	0	83	30
224549	50	465	47	4	54	31
82316	32	245	34	4	27	10
102010	53	370	66	3	28	13
101523	42	316	76	0	59	22
243511	71	603	65	0	133	42
22938	10	154	9	0	12	1
41566	35	229	42	5	0	9
152474	65	577	45	0	106	32
61857	25	192	25	4	23	11
99923	66	617	115	0	44	25
132487	41	411	97	0	71	36
317394	86	975	53	1	116	31
21054	16	146	2	0	4	0
209641	42	705	52	5	62	24
22648	19	184	44	0	12	13
31414	19	200	22	0	18	8
46698	45	274	35	0	14	13
131698	65	502	74	0	60	19
91735	35	382	103	0	7	18
244749	95	964	144	2	98	33
184510	49	537	60	7	64	40
79863	37	438	134	1	29	22
128423	64	369	89	8	32	38
97839	38	417	42	2	25	24
38214	34	276	52	0	16	8
151101	32	514	98	2	48	35
272458	65	822	99	0	100	43
172494	52	389	52	0	46	43
108043	62	466	29	1	45	14
328107	65	1255	125	3	129	41
250579	83	694	106	0	130	38
351067	95	1024	95	3	136	45
158015	29	400	40	0	59	31
98866	18	397	140	0	25	13
85439	33	350	43	0	32	28
229242	247	719	128	4	63	31
351619	139	1277	142	4	95	40
84207	29	356	73	11	14	30
120445	118	457	72	0	36	16
324598	110	1402	128	0	113	37
131069	67	600	61	4	47	30
204271	42	480	73	0	92	35
165543	65	595	148	1	70	32
141722	94	436	64	0	19	27
116048	64	230	45	0	50	20
250047	81	651	58	0	41	18
299775	95	1367	97	9	91	31
195838	67	564	50	1	111	31
173260	63	716	37	3	41	21
254488	83	747	50	10	120	39
104389	45	467	105	5	135	41
136084	30	671	69	0	27	13
199476	70	861	46	2	87	32
92499	32	319	57	0	25	18
224330	83	612	52	1	131	39
135781	31	433	98	2	45	14
74408	67	434	61	4	29	7
81240	66	503	89	0	58	17
14688	10	85	0	0	4	0
181633	70	564	48	2	47	30
271856	103	824	91	1	109	37
7199	5	74	0	0	7	0
46660	20	259	7	0	12	5
17547	5	69	3	0	0	1
133368	36	535	54	1	37	16
95227	34	239	70	0	37	32
152601	48	438	36	2	46	24
98146	40	459	37	0	15	17
79619	43	426	123	3	42	11
59194	31	288	247	6	7	24
139942	42	498	46	0	54	22
118612	46	454	72	2	54	12
72880	33	376	41	0	14	19
65475	18	225	24	2	16	13
99643	55	555	45	1	33	17
71965	35	252	33	1	32	15
77272	59	208	27	2	21	16
49289	19	130	36	1	15	24
135131	66	481	87	0	38	15
108446	60	389	90	1	22	17
89746	36	565	114	3	28	18
44296	25	173	31	0	10	20
77648	47	278	45	0	31	16
181528	54	609	69	0	32	16
134019	53	422	51	0	32	18
124064	40	445	34	1	43	22
92630	40	387	60	4	27	8
121848	39	339	45	0	37	17
52915	14	181	54	0	20	18
81872	45	245	25	0	32	16
58981	36	384	38	7	0	23
53515	28	212	52	2	5	22
60812	44	399	67	0	26	13
56375	30	229	74	7	10	13
65490	22	224	38	3	27	16
80949	17	203	30	0	11	16
76302	31	333	26	0	29	20
104011	55	384	67	6	25	22
98104	54	636	132	2	55	17
67989	21	185	42	0	23	18
30989	14	93	35	0	5	17
135458	81	581	118	3	43	12
73504	35	248	68	0	23	7
63123	43	304	43	1	34	17
61254	46	344	76	1	36	14
74914	30	407	64	0	35	23
31774	23	170	48	1	0	17
81437	38	312	64	0	37	14
87186	54	507	56	0	28	15
50090	20	224	71	0	16	17
65745	53	340	75	0	26	21
56653	45	168	39	0	38	18
158399	39	443	42	0	23	18
46455	20	204	39	0	22	17
73624	24	367	93	0	30	17
38395	31	210	38	0	16	16
91899	35	335	60	0	18	15
139526	151	364	71	0	28	21
52164	52	178	52	0	32	16
51567	30	206	27	2	21	14
70551	31	279	59	0	23	15
84856	29	387	40	1	29	17
102538	57	490	79	1	50	15
86678	40	238	44	0	12	15
85709	44	343	65	0	21	10
34662	25	232	10	0	18	6
150580	77	530	124	0	27	22
99611	35	291	81	0	41	21
19349	11	67	15	0	13	1
99373	63	397	92	1	12	18
86230	44	467	42	0	21	17
30837	19	178	10	0	8	4
31706	13	175	24	0	26	10
89806	42	299	64	0	27	16
62088	38	154	45	1	13	16
40151	29	106	22	0	16	9
27634	20	189	56	0	2	16
76990	27	194	94	0	42	17
37460	20	135	19	0	5	7
54157	19	201	35	0	37	15
49862	37	207	32	0	17	14
84337	26	280	35	0	38	14
64175	42	260	48	0	37	18
59382	49	227	49	0	29	12
119308	30	239	48	0	32	16
76702	49	333	62	0	35	21
103425	67	428	96	1	17	19
70344	28	230	45	0	20	16
43410	19	292	63	0	7	1
104838	49	350	71	1	46	16
62215	27	186	26	0	24	10
69304	30	326	48	6	40	19
53117	22	155	29	3	3	12
19764	12	75	19	1	10	2
86680	31	361	45	2	37	14
84105	20	261	45	0	17	17
77945	20	299	67	0	28	19
89113	39	300	30	0	19	14
91005	29	450	36	3	29	11
40248	16	183	34	1	8	4
64187	27	238	36	0	10	16
50857	21	165	34	0	15	20
56613	19	234	37	1	15	12
62792	35	176	46	0	28	15
72535	14	329	44	0	17	16




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time14 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=190244&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=190244&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=190244&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'Sir Maurice George Kendall' @ kendall.wessa.net







Multiple Linear Regression - Estimated Regression Equation
compendium_views_info[t] = + 56.910838107444 + 0.00252874096039068time_in_rfc[t] + 0.582228213191532logins[t] + 1.13158170965296compendium_views_pr[t] + 6.1108516381231shared_compendiums[t] + 1.23552824898036blogged_computations[t] -4.02296245206831compendiums_reviewed[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
compendium_views_info[t] =  +  56.910838107444 +  0.00252874096039068time_in_rfc[t] +  0.582228213191532logins[t] +  1.13158170965296compendium_views_pr[t] +  6.1108516381231shared_compendiums[t] +  1.23552824898036blogged_computations[t] -4.02296245206831compendiums_reviewed[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=190244&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]compendium_views_info[t] =  +  56.910838107444 +  0.00252874096039068time_in_rfc[t] +  0.582228213191532logins[t] +  1.13158170965296compendium_views_pr[t] +  6.1108516381231shared_compendiums[t] +  1.23552824898036blogged_computations[t] -4.02296245206831compendiums_reviewed[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=190244&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=190244&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
compendium_views_info[t] = + 56.910838107444 + 0.00252874096039068time_in_rfc[t] + 0.582228213191532logins[t] + 1.13158170965296compendium_views_pr[t] + 6.1108516381231shared_compendiums[t] + 1.23552824898036blogged_computations[t] -4.02296245206831compendiums_reviewed[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)56.91083810744417.532693.2460.0013120.000656
time_in_rfc0.002528740960390680.00018713.506900
logins0.5822282131915320.290932.00130.0463220.023161
compendium_views_pr1.131581709652960.1441347.850900
shared_compendiums6.11085163812312.7161842.24980.0252330.012617
blogged_computations1.235528248980360.3627813.40570.0007560.000378
compendiums_reviewed-4.022962452068311.098526-3.66210.0002990.000149

\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) & 56.910838107444 & 17.53269 & 3.246 & 0.001312 & 0.000656 \tabularnewline
time_in_rfc & 0.00252874096039068 & 0.000187 & 13.5069 & 0 & 0 \tabularnewline
logins & 0.582228213191532 & 0.29093 & 2.0013 & 0.046322 & 0.023161 \tabularnewline
compendium_views_pr & 1.13158170965296 & 0.144134 & 7.8509 & 0 & 0 \tabularnewline
shared_compendiums & 6.1108516381231 & 2.716184 & 2.2498 & 0.025233 & 0.012617 \tabularnewline
blogged_computations & 1.23552824898036 & 0.362781 & 3.4057 & 0.000756 & 0.000378 \tabularnewline
compendiums_reviewed & -4.02296245206831 & 1.098526 & -3.6621 & 0.000299 & 0.000149 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=190244&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]56.910838107444[/C][C]17.53269[/C][C]3.246[/C][C]0.001312[/C][C]0.000656[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]0.00252874096039068[/C][C]0.000187[/C][C]13.5069[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]logins[/C][C]0.582228213191532[/C][C]0.29093[/C][C]2.0013[/C][C]0.046322[/C][C]0.023161[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]1.13158170965296[/C][C]0.144134[/C][C]7.8509[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]6.1108516381231[/C][C]2.716184[/C][C]2.2498[/C][C]0.025233[/C][C]0.012617[/C][/ROW]
[ROW][C]blogged_computations[/C][C]1.23552824898036[/C][C]0.362781[/C][C]3.4057[/C][C]0.000756[/C][C]0.000378[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]-4.02296245206831[/C][C]1.098526[/C][C]-3.6621[/C][C]0.000299[/C][C]0.000149[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=190244&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=190244&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)56.91083810744417.532693.2460.0013120.000656
time_in_rfc0.002528740960390680.00018713.506900
logins0.5822282131915320.290932.00130.0463220.023161
compendium_views_pr1.131581709652960.1441347.850900
shared_compendiums6.11085163812312.7161842.24980.0252330.012617
blogged_computations1.235528248980360.3627813.40570.0007560.000378
compendiums_reviewed-4.022962452068311.098526-3.66210.0002990.000149







Multiple Linear Regression - Regression Statistics
Multiple R0.918505792239999
R-squared0.843652890378428
Adjusted R-squared0.840326356131161
F-TEST (value)253.613168441429
F-TEST (DF numerator)6
F-TEST (DF denominator)282
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation114.642047715574
Sum Squared Residuals3706269.34744643

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.918505792239999 \tabularnewline
R-squared & 0.843652890378428 \tabularnewline
Adjusted R-squared & 0.840326356131161 \tabularnewline
F-TEST (value) & 253.613168441429 \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 & 114.642047715574 \tabularnewline
Sum Squared Residuals & 3706269.34744643 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=190244&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.918505792239999[/C][/ROW]
[ROW][C]R-squared[/C][C]0.843652890378428[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.840326356131161[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]253.613168441429[/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]114.642047715574[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]3706269.34744643[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=190244&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=190244&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 R0.918505792239999
R-squared0.843652890378428
Adjusted R-squared0.840326356131161
F-TEST (value)253.613168441429
F-TEST (DF numerator)6
F-TEST (DF denominator)282
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation114.642047715574
Sum Squared Residuals3706269.34744643







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1396709.753319282946-313.753319282946
2297441.145847282509-144.145847282509
3559585.862597956776-26.8625979567763
4967728.603101150404238.396898849596
5270415.112752119608-145.112752119608
6143160.451568551752-17.4515685517518
715621205.60595567738356.394044322621
8109129.881082937531-20.8810829375315
9371430.662258913738-59.6622589137378
10656513.234877764757142.765122235243
11511543.671991403717-32.6719914037173
12655732.903914208879-77.903914208879
13465573.912023330136-108.912023330136
14525460.87978239265264.1202176073477
15885831.95547471320853.0445252867919
16497587.513321154175-90.5133211541749
1714361096.25157086708339.748429132921
18612750.253488483786-138.253488483786
19865798.58894607905666.4110539209445
20385468.354113703017-83.3541137030169
21567695.396175549281-128.396175549281
22639710.877256070786-71.8772560707861
239631052.7961455611-89.7961455610967
24398520.511293958996-122.511293958996
25410461.386732116539-51.3867321165395
26966720.260351341779245.739648658221
27801592.955387902723208.044612097277
28892790.05119294489101.94880705511
29513720.735850251152-207.735850251152
30469403.11518871328865.8848112867116
31683768.569359553225-85.5693595532249
32643662.619888070197-19.6198880701966
33535516.01528701262418.9847129873758
34625787.758836123454-162.758836123454
35264277.577972298657-13.5779722986565
36992924.69322491367367.3067750863267
37238363.299436194273-125.299436194273
38818666.060410531335151.939589468665
39937968.04177268082-31.0417726808195
407086.0865445731163-16.0865445731163
41507558.24646034156-51.2464603415603
42260370.228376850855-110.228376850855
43503474.81127476257128.1887252374292
44927857.94325350481369.0567464951868
451269884.262327311926384.737672688074
46537505.18505720863631.8149427913644
47910674.86771162205235.13228837795
48532551.7957565653-19.7957565653001
49345380.169928624055-35.1699286240553
50918364.015923235702553.984076764298
5116351820.78342339804-185.783423398041
52330277.4646126925752.5353873074298
53557588.74172353361-31.7417235336094
541178965.655317466762212.344682533238
55740515.130709091265224.869290908735
56452539.679945934165-87.6799459341652
57218148.47351195059969.5264880494007
587641110.27920565814-346.279205658139
59255239.10045682963115.8995431703687
60454428.1092163548525.8907836451501
61866744.522152093776121.477847906224
62574766.663301753457-192.663301753457
6312761271.236048147174.76395185282809
64379393.703736512869-14.7037365128686
65825942.081923586398-117.081923586398
66798841.105629219029-43.1056292190293
67663741.955180341068-78.9551803410683
6810691023.8906175481445.1093824518555
69921937.717428583849-16.7174285838487
70858597.919055572689260.080944427311
71711653.90295178926357.0970482107374
72503589.921004104139-86.9210041041389
73382575.461370378118-193.461370378118
74464531.353468150175-67.3534681501751
75717684.37357113121332.6264288687869
76690683.8505690612466.1494309387542
77462528.544879990636-66.5448799906364
78657615.42430560674241.5756943932577
79385277.021780006875107.978219993125
80577606.041784340815-29.0417843408149
81619578.60686911623440.393130883766
82479504.664921639012-25.6649216390117
83817907.975415826146-90.9754158261456
84752768.455097217791-16.4550972177913
85430605.113623189281-175.113623189281
86451492.617403457579-41.6174034575791
87537488.028291159848.9717088401996
88519405.155083721092113.844916278908
8910001098.34961037995-98.349610379948
90637473.937455575195163.062544424805
91465639.384069982938-174.384069982938
92437339.61192798647297.3880720135278
93711509.992566461738201.007433538262
94299475.077871439409-176.077871439409
95248382.658235098089-134.658235098089
9611621122.6311066069739.3688933930256
97714714.141701630074-0.141701630073811
98905580.62228834611324.37771165389
99649634.38961344029414.6103865597063
100512657.980933805179-145.980933805179
101472506.657827138326-34.6578271383258
102905738.489605581427166.510394418573
103786812.139115316268-26.1391153162678
104489534.095914637126-45.0959146371262
105479610.534681586169-131.534681586169
106617765.826234505878-148.826234505878
107925909.38017921278615.6198207872143
108351334.67571140462716.3242885953725
10911441085.7304493673458.269550632657
110669736.283706307584-67.2837063075837
111707772.592294290616-65.5922942906164
112458494.678868694246-36.678868694246
113214187.25064375957326.7493562404266
114599598.6490828488920.350917151107933
115572572.219890955208-0.219890955208427
116897698.097811614566198.902188385434
117819804.69839753213814.3016024678616
118720774.452034604485-54.4520346044847
119273315.823266416014-42.8232664160137
120508464.38441253890943.6155874610912
121506504.2106525640651.78934743593486
122451299.702865083676151.297134916324
123699655.02730721657543.9726927834246
124407411.277866866665-4.27786686666478
125465673.482939018791-208.482939018791
126245339.744804707572-94.744804707572
127370421.039025622075-51.0390256220755
128316408.480994261195-92.4809942611952
129603782.9389265047-179.9389265047
130154141.72499231137312.2750076886267
131229224.2725002561724.7274997438283
132577533.47529401961843.5247059803818
133192264.784385071732-72.7843850717319
134617431.938361426722185.061638573278
135411468.466781707061-57.4667817070611
136975994.28379594149-19.2837959414901
137146126.67187811380119.3281218861989
138705680.94036641846424.0596335815364
139184137.56152176461846.4384782353822
140200162.36164916526137.6383508347389
141274205.80249651607868.1975034839224
142502509.218253830269-7.21825383026859
143382362.05116727047519.9488327295252
144964894.62281662339369.3771833766074
145537580.844189053564-43.8441890535638
146438385.4740673217652.5259326782404
147369455.183860160829-86.1838601608288
148417320.53023948892696.4697605110738
149276219.76690568541956.2330943145811
150514499.25580973646814.7441902635316
151822846.32340526576-24.32340526576
152389466.068511331147-77.0685113311471
153466404.42576500202861.5742349979718
15412551078.67523446045176.324765539545
155694866.578921328143-172.578921328143
15610241112.81136995177-88.8113699517709
157400466.822058207974-66.8220582079741
158397454.408583433913-57.4085834339125
159350267.7294368821282.2705631178798
160719902.82715106735-183.82715106735
16112771168.57862238629108.421377613707
162356333.16650108931322.8334989106874
163457491.773473063514-34.7734730635137
16414021077.38774006324324.612259936761
165600458.210522310074141.789477689926
166480653.383245669922-173.383245669922
167595644.708160400049-49.7081604000493
168436457.294796478508-21.2947964785081
169230419.867115065155-189.867115065155
170651780.250487529604-129.250487529604
17113671022.7581649843344.241835015703
172564666.265437335741-102.265437335741
173716558.096399222089157.903600777911
174747857.825465441103-110.825465441103
175467498.309038597011-31.3090385970109
176671477.638758168632193.361241831369
177861645.120565961131215.879434038869
178319332.423190562249-13.4231905622489
179612742.420004972623-130.420004972623
180433540.708896756585-107.708896756585
181434385.21815866930248.7818413306982
182503404.75386471503898.2461352849625
18385104.817380461499-19.8173804614989
184564560.8881993691083.11180063089219
185824899.241502223016-75.2415022230156
1867486.6750830901165-12.6750830901165
187259189.17905427809769.8209457219029
18869103.565579482267-34.5655794822673
189535463.68758812628771.3124118737131
190239313.701479212874-74.7014792128743
191438483.988037064426-45.9880370644258
192459320.396862240313138.603137759687
193426448.439182486133-22.4391824861332
194288452.909596131991-164.909596131991
195498465.50760068395432.492399316046
196454495.770921099493-41.7709210994933
197376247.674969328236128.325030671764
198225239.809864741186-14.8098647411863
199555370.318824452884184.681175547116
200252281.915184026681-29.9151840266807
201208291.016277609424-83.0162776094238
202130161.441905425475-31.441905425475
203481522.102440316675-41.1024403166751
204389432.82083838876-43.8208383887601
205565414.329776662589150.670223337411
206173150.45471946637722.545280533623
207278305.482395639543-27.4823956395431
208609600.6370933779198.3629066220808
209422451.502515199637-29.5025151996369
210445403.13285567199141.8671443280088
211387407.951114033687-20.9511140336874
212339415.985127425093-76.9851274250928
213181212.273014174836-31.2730141748359
214245293.603235085771-48.6032350857713
215384220.266654403245163.733345596755
216212197.27522004971314.7247799502867
217399291.947871914499107.052128085501
218229303.505234739311-74.5052347393111
219224265.651627664202-41.651627664202
220203254.678632529645-51.678632529645
221333252.70010010615280.2998998938475
222384406.814382518667-22.8143825186667
223636497.58494575715138.41505424285
224185244.594457135211-59.5944571352113
22593120.817826111266-27.8178261112664
226581603.320878323314-22.3208783233138
227248340.365369940176-92.3653699401758
228304269.95483085079234.0451691492077
229344318.8574389081125.1425610918898
230407286.952366544429120.047633455571
231170142.68671430260727.3132856973933
232312346.782888101165-34.7828881011648
233507346.4409009234160.5590990766
234224226.940428761129-2.94042876112868
235340286.53115905150853.4688409484924
236168245.040305330566-77.0403053305659
237443483.69803520158-40.6980352015802
238204188.95101015509615.0489898449041
239367330.97292447381936.0270755261806
240210170.45207960798739.547920392013
241335339.46756536789-4.46756536789034
242364528.107290402211-164.107290402211
243178253.107702287456-75.1077022874558
244206217.176297944164-11.1762979441636
245279288.201150027953-9.20115002795286
246387307.18837678442179.8116232155792
247490446.32766922460243.6723307753984
248238303.657673031319-65.6576730313186
249343358.534018297343-15.5340182973433
250232168.5353134720663.4646865279398
251530567.690445112755-37.6904451127551
252291387.011806571274-96.0118065712741
25367141.256587724621-74.2565877246208
254397397.509174772144-0.509174772144039
255467305.66437585121161.33562414879
256178151.0601524337526.9398475662504
257175163.70813675355811.2918632464418
258299349.8736266575-50.8736266575002
259154244.766475533617-90.7664755336169
260106183.783522118081-77.7835221180807
261189139.90686307614449.0931369238557
262194357.189271883486-163.189271883486
263135162.798995311339-27.7989953113393
264201229.897666619064-28.8976666190636
265207205.4344843751351.56551562486466
266280315.549156997044-35.5491569970437
267260271.263517332946-11.2635173329463
268227278.603989832354-51.6039898323544
269239405.562137803102-166.562137803102
270333308.31885291707724.6811470829231
271428416.76555162785911.2344483721414
272230262.359324875426-32.3593248754265
273292253.66120224757338.3387977524266
274350429.468218602754-79.4682186027544
275186248.800796620144-62.8007966201441
276326313.59542328410312.4045767158969
277155210.618452207156-55.6184522071559
27875145.7958747141-70.7958747141
279361346.68713025699214.3128697430078
280261284.769956326821-23.7699563268209
281299299.632595457827-0.63259545782699
282300306.062445316468-6.06244531646777
283450354.57075609990795.4292439000927
284183206.380261642206-23.380261642206
285238223.66812069242914.3318793075708
286165174.289262428595-9.2892624285949
287234229.3695353538494.63046464615095
288176262.376640788461-86.376640788461
289329254.91043487836774.0895651216331

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 396 & 709.753319282946 & -313.753319282946 \tabularnewline
2 & 297 & 441.145847282509 & -144.145847282509 \tabularnewline
3 & 559 & 585.862597956776 & -26.8625979567763 \tabularnewline
4 & 967 & 728.603101150404 & 238.396898849596 \tabularnewline
5 & 270 & 415.112752119608 & -145.112752119608 \tabularnewline
6 & 143 & 160.451568551752 & -17.4515685517518 \tabularnewline
7 & 1562 & 1205.60595567738 & 356.394044322621 \tabularnewline
8 & 109 & 129.881082937531 & -20.8810829375315 \tabularnewline
9 & 371 & 430.662258913738 & -59.6622589137378 \tabularnewline
10 & 656 & 513.234877764757 & 142.765122235243 \tabularnewline
11 & 511 & 543.671991403717 & -32.6719914037173 \tabularnewline
12 & 655 & 732.903914208879 & -77.903914208879 \tabularnewline
13 & 465 & 573.912023330136 & -108.912023330136 \tabularnewline
14 & 525 & 460.879782392652 & 64.1202176073477 \tabularnewline
15 & 885 & 831.955474713208 & 53.0445252867919 \tabularnewline
16 & 497 & 587.513321154175 & -90.5133211541749 \tabularnewline
17 & 1436 & 1096.25157086708 & 339.748429132921 \tabularnewline
18 & 612 & 750.253488483786 & -138.253488483786 \tabularnewline
19 & 865 & 798.588946079056 & 66.4110539209445 \tabularnewline
20 & 385 & 468.354113703017 & -83.3541137030169 \tabularnewline
21 & 567 & 695.396175549281 & -128.396175549281 \tabularnewline
22 & 639 & 710.877256070786 & -71.8772560707861 \tabularnewline
23 & 963 & 1052.7961455611 & -89.7961455610967 \tabularnewline
24 & 398 & 520.511293958996 & -122.511293958996 \tabularnewline
25 & 410 & 461.386732116539 & -51.3867321165395 \tabularnewline
26 & 966 & 720.260351341779 & 245.739648658221 \tabularnewline
27 & 801 & 592.955387902723 & 208.044612097277 \tabularnewline
28 & 892 & 790.05119294489 & 101.94880705511 \tabularnewline
29 & 513 & 720.735850251152 & -207.735850251152 \tabularnewline
30 & 469 & 403.115188713288 & 65.8848112867116 \tabularnewline
31 & 683 & 768.569359553225 & -85.5693595532249 \tabularnewline
32 & 643 & 662.619888070197 & -19.6198880701966 \tabularnewline
33 & 535 & 516.015287012624 & 18.9847129873758 \tabularnewline
34 & 625 & 787.758836123454 & -162.758836123454 \tabularnewline
35 & 264 & 277.577972298657 & -13.5779722986565 \tabularnewline
36 & 992 & 924.693224913673 & 67.3067750863267 \tabularnewline
37 & 238 & 363.299436194273 & -125.299436194273 \tabularnewline
38 & 818 & 666.060410531335 & 151.939589468665 \tabularnewline
39 & 937 & 968.04177268082 & -31.0417726808195 \tabularnewline
40 & 70 & 86.0865445731163 & -16.0865445731163 \tabularnewline
41 & 507 & 558.24646034156 & -51.2464603415603 \tabularnewline
42 & 260 & 370.228376850855 & -110.228376850855 \tabularnewline
43 & 503 & 474.811274762571 & 28.1887252374292 \tabularnewline
44 & 927 & 857.943253504813 & 69.0567464951868 \tabularnewline
45 & 1269 & 884.262327311926 & 384.737672688074 \tabularnewline
46 & 537 & 505.185057208636 & 31.8149427913644 \tabularnewline
47 & 910 & 674.86771162205 & 235.13228837795 \tabularnewline
48 & 532 & 551.7957565653 & -19.7957565653001 \tabularnewline
49 & 345 & 380.169928624055 & -35.1699286240553 \tabularnewline
50 & 918 & 364.015923235702 & 553.984076764298 \tabularnewline
51 & 1635 & 1820.78342339804 & -185.783423398041 \tabularnewline
52 & 330 & 277.46461269257 & 52.5353873074298 \tabularnewline
53 & 557 & 588.74172353361 & -31.7417235336094 \tabularnewline
54 & 1178 & 965.655317466762 & 212.344682533238 \tabularnewline
55 & 740 & 515.130709091265 & 224.869290908735 \tabularnewline
56 & 452 & 539.679945934165 & -87.6799459341652 \tabularnewline
57 & 218 & 148.473511950599 & 69.5264880494007 \tabularnewline
58 & 764 & 1110.27920565814 & -346.279205658139 \tabularnewline
59 & 255 & 239.100456829631 & 15.8995431703687 \tabularnewline
60 & 454 & 428.10921635485 & 25.8907836451501 \tabularnewline
61 & 866 & 744.522152093776 & 121.477847906224 \tabularnewline
62 & 574 & 766.663301753457 & -192.663301753457 \tabularnewline
63 & 1276 & 1271.23604814717 & 4.76395185282809 \tabularnewline
64 & 379 & 393.703736512869 & -14.7037365128686 \tabularnewline
65 & 825 & 942.081923586398 & -117.081923586398 \tabularnewline
66 & 798 & 841.105629219029 & -43.1056292190293 \tabularnewline
67 & 663 & 741.955180341068 & -78.9551803410683 \tabularnewline
68 & 1069 & 1023.89061754814 & 45.1093824518555 \tabularnewline
69 & 921 & 937.717428583849 & -16.7174285838487 \tabularnewline
70 & 858 & 597.919055572689 & 260.080944427311 \tabularnewline
71 & 711 & 653.902951789263 & 57.0970482107374 \tabularnewline
72 & 503 & 589.921004104139 & -86.9210041041389 \tabularnewline
73 & 382 & 575.461370378118 & -193.461370378118 \tabularnewline
74 & 464 & 531.353468150175 & -67.3534681501751 \tabularnewline
75 & 717 & 684.373571131213 & 32.6264288687869 \tabularnewline
76 & 690 & 683.850569061246 & 6.1494309387542 \tabularnewline
77 & 462 & 528.544879990636 & -66.5448799906364 \tabularnewline
78 & 657 & 615.424305606742 & 41.5756943932577 \tabularnewline
79 & 385 & 277.021780006875 & 107.978219993125 \tabularnewline
80 & 577 & 606.041784340815 & -29.0417843408149 \tabularnewline
81 & 619 & 578.606869116234 & 40.393130883766 \tabularnewline
82 & 479 & 504.664921639012 & -25.6649216390117 \tabularnewline
83 & 817 & 907.975415826146 & -90.9754158261456 \tabularnewline
84 & 752 & 768.455097217791 & -16.4550972177913 \tabularnewline
85 & 430 & 605.113623189281 & -175.113623189281 \tabularnewline
86 & 451 & 492.617403457579 & -41.6174034575791 \tabularnewline
87 & 537 & 488.0282911598 & 48.9717088401996 \tabularnewline
88 & 519 & 405.155083721092 & 113.844916278908 \tabularnewline
89 & 1000 & 1098.34961037995 & -98.349610379948 \tabularnewline
90 & 637 & 473.937455575195 & 163.062544424805 \tabularnewline
91 & 465 & 639.384069982938 & -174.384069982938 \tabularnewline
92 & 437 & 339.611927986472 & 97.3880720135278 \tabularnewline
93 & 711 & 509.992566461738 & 201.007433538262 \tabularnewline
94 & 299 & 475.077871439409 & -176.077871439409 \tabularnewline
95 & 248 & 382.658235098089 & -134.658235098089 \tabularnewline
96 & 1162 & 1122.63110660697 & 39.3688933930256 \tabularnewline
97 & 714 & 714.141701630074 & -0.141701630073811 \tabularnewline
98 & 905 & 580.62228834611 & 324.37771165389 \tabularnewline
99 & 649 & 634.389613440294 & 14.6103865597063 \tabularnewline
100 & 512 & 657.980933805179 & -145.980933805179 \tabularnewline
101 & 472 & 506.657827138326 & -34.6578271383258 \tabularnewline
102 & 905 & 738.489605581427 & 166.510394418573 \tabularnewline
103 & 786 & 812.139115316268 & -26.1391153162678 \tabularnewline
104 & 489 & 534.095914637126 & -45.0959146371262 \tabularnewline
105 & 479 & 610.534681586169 & -131.534681586169 \tabularnewline
106 & 617 & 765.826234505878 & -148.826234505878 \tabularnewline
107 & 925 & 909.380179212786 & 15.6198207872143 \tabularnewline
108 & 351 & 334.675711404627 & 16.3242885953725 \tabularnewline
109 & 1144 & 1085.73044936734 & 58.269550632657 \tabularnewline
110 & 669 & 736.283706307584 & -67.2837063075837 \tabularnewline
111 & 707 & 772.592294290616 & -65.5922942906164 \tabularnewline
112 & 458 & 494.678868694246 & -36.678868694246 \tabularnewline
113 & 214 & 187.250643759573 & 26.7493562404266 \tabularnewline
114 & 599 & 598.649082848892 & 0.350917151107933 \tabularnewline
115 & 572 & 572.219890955208 & -0.219890955208427 \tabularnewline
116 & 897 & 698.097811614566 & 198.902188385434 \tabularnewline
117 & 819 & 804.698397532138 & 14.3016024678616 \tabularnewline
118 & 720 & 774.452034604485 & -54.4520346044847 \tabularnewline
119 & 273 & 315.823266416014 & -42.8232664160137 \tabularnewline
120 & 508 & 464.384412538909 & 43.6155874610912 \tabularnewline
121 & 506 & 504.210652564065 & 1.78934743593486 \tabularnewline
122 & 451 & 299.702865083676 & 151.297134916324 \tabularnewline
123 & 699 & 655.027307216575 & 43.9726927834246 \tabularnewline
124 & 407 & 411.277866866665 & -4.27786686666478 \tabularnewline
125 & 465 & 673.482939018791 & -208.482939018791 \tabularnewline
126 & 245 & 339.744804707572 & -94.744804707572 \tabularnewline
127 & 370 & 421.039025622075 & -51.0390256220755 \tabularnewline
128 & 316 & 408.480994261195 & -92.4809942611952 \tabularnewline
129 & 603 & 782.9389265047 & -179.9389265047 \tabularnewline
130 & 154 & 141.724992311373 & 12.2750076886267 \tabularnewline
131 & 229 & 224.272500256172 & 4.7274997438283 \tabularnewline
132 & 577 & 533.475294019618 & 43.5247059803818 \tabularnewline
133 & 192 & 264.784385071732 & -72.7843850717319 \tabularnewline
134 & 617 & 431.938361426722 & 185.061638573278 \tabularnewline
135 & 411 & 468.466781707061 & -57.4667817070611 \tabularnewline
136 & 975 & 994.28379594149 & -19.2837959414901 \tabularnewline
137 & 146 & 126.671878113801 & 19.3281218861989 \tabularnewline
138 & 705 & 680.940366418464 & 24.0596335815364 \tabularnewline
139 & 184 & 137.561521764618 & 46.4384782353822 \tabularnewline
140 & 200 & 162.361649165261 & 37.6383508347389 \tabularnewline
141 & 274 & 205.802496516078 & 68.1975034839224 \tabularnewline
142 & 502 & 509.218253830269 & -7.21825383026859 \tabularnewline
143 & 382 & 362.051167270475 & 19.9488327295252 \tabularnewline
144 & 964 & 894.622816623393 & 69.3771833766074 \tabularnewline
145 & 537 & 580.844189053564 & -43.8441890535638 \tabularnewline
146 & 438 & 385.47406732176 & 52.5259326782404 \tabularnewline
147 & 369 & 455.183860160829 & -86.1838601608288 \tabularnewline
148 & 417 & 320.530239488926 & 96.4697605110738 \tabularnewline
149 & 276 & 219.766905685419 & 56.2330943145811 \tabularnewline
150 & 514 & 499.255809736468 & 14.7441902635316 \tabularnewline
151 & 822 & 846.32340526576 & -24.32340526576 \tabularnewline
152 & 389 & 466.068511331147 & -77.0685113311471 \tabularnewline
153 & 466 & 404.425765002028 & 61.5742349979718 \tabularnewline
154 & 1255 & 1078.67523446045 & 176.324765539545 \tabularnewline
155 & 694 & 866.578921328143 & -172.578921328143 \tabularnewline
156 & 1024 & 1112.81136995177 & -88.8113699517709 \tabularnewline
157 & 400 & 466.822058207974 & -66.8220582079741 \tabularnewline
158 & 397 & 454.408583433913 & -57.4085834339125 \tabularnewline
159 & 350 & 267.72943688212 & 82.2705631178798 \tabularnewline
160 & 719 & 902.82715106735 & -183.82715106735 \tabularnewline
161 & 1277 & 1168.57862238629 & 108.421377613707 \tabularnewline
162 & 356 & 333.166501089313 & 22.8334989106874 \tabularnewline
163 & 457 & 491.773473063514 & -34.7734730635137 \tabularnewline
164 & 1402 & 1077.38774006324 & 324.612259936761 \tabularnewline
165 & 600 & 458.210522310074 & 141.789477689926 \tabularnewline
166 & 480 & 653.383245669922 & -173.383245669922 \tabularnewline
167 & 595 & 644.708160400049 & -49.7081604000493 \tabularnewline
168 & 436 & 457.294796478508 & -21.2947964785081 \tabularnewline
169 & 230 & 419.867115065155 & -189.867115065155 \tabularnewline
170 & 651 & 780.250487529604 & -129.250487529604 \tabularnewline
171 & 1367 & 1022.7581649843 & 344.241835015703 \tabularnewline
172 & 564 & 666.265437335741 & -102.265437335741 \tabularnewline
173 & 716 & 558.096399222089 & 157.903600777911 \tabularnewline
174 & 747 & 857.825465441103 & -110.825465441103 \tabularnewline
175 & 467 & 498.309038597011 & -31.3090385970109 \tabularnewline
176 & 671 & 477.638758168632 & 193.361241831369 \tabularnewline
177 & 861 & 645.120565961131 & 215.879434038869 \tabularnewline
178 & 319 & 332.423190562249 & -13.4231905622489 \tabularnewline
179 & 612 & 742.420004972623 & -130.420004972623 \tabularnewline
180 & 433 & 540.708896756585 & -107.708896756585 \tabularnewline
181 & 434 & 385.218158669302 & 48.7818413306982 \tabularnewline
182 & 503 & 404.753864715038 & 98.2461352849625 \tabularnewline
183 & 85 & 104.817380461499 & -19.8173804614989 \tabularnewline
184 & 564 & 560.888199369108 & 3.11180063089219 \tabularnewline
185 & 824 & 899.241502223016 & -75.2415022230156 \tabularnewline
186 & 74 & 86.6750830901165 & -12.6750830901165 \tabularnewline
187 & 259 & 189.179054278097 & 69.8209457219029 \tabularnewline
188 & 69 & 103.565579482267 & -34.5655794822673 \tabularnewline
189 & 535 & 463.687588126287 & 71.3124118737131 \tabularnewline
190 & 239 & 313.701479212874 & -74.7014792128743 \tabularnewline
191 & 438 & 483.988037064426 & -45.9880370644258 \tabularnewline
192 & 459 & 320.396862240313 & 138.603137759687 \tabularnewline
193 & 426 & 448.439182486133 & -22.4391824861332 \tabularnewline
194 & 288 & 452.909596131991 & -164.909596131991 \tabularnewline
195 & 498 & 465.507600683954 & 32.492399316046 \tabularnewline
196 & 454 & 495.770921099493 & -41.7709210994933 \tabularnewline
197 & 376 & 247.674969328236 & 128.325030671764 \tabularnewline
198 & 225 & 239.809864741186 & -14.8098647411863 \tabularnewline
199 & 555 & 370.318824452884 & 184.681175547116 \tabularnewline
200 & 252 & 281.915184026681 & -29.9151840266807 \tabularnewline
201 & 208 & 291.016277609424 & -83.0162776094238 \tabularnewline
202 & 130 & 161.441905425475 & -31.441905425475 \tabularnewline
203 & 481 & 522.102440316675 & -41.1024403166751 \tabularnewline
204 & 389 & 432.82083838876 & -43.8208383887601 \tabularnewline
205 & 565 & 414.329776662589 & 150.670223337411 \tabularnewline
206 & 173 & 150.454719466377 & 22.545280533623 \tabularnewline
207 & 278 & 305.482395639543 & -27.4823956395431 \tabularnewline
208 & 609 & 600.637093377919 & 8.3629066220808 \tabularnewline
209 & 422 & 451.502515199637 & -29.5025151996369 \tabularnewline
210 & 445 & 403.132855671991 & 41.8671443280088 \tabularnewline
211 & 387 & 407.951114033687 & -20.9511140336874 \tabularnewline
212 & 339 & 415.985127425093 & -76.9851274250928 \tabularnewline
213 & 181 & 212.273014174836 & -31.2730141748359 \tabularnewline
214 & 245 & 293.603235085771 & -48.6032350857713 \tabularnewline
215 & 384 & 220.266654403245 & 163.733345596755 \tabularnewline
216 & 212 & 197.275220049713 & 14.7247799502867 \tabularnewline
217 & 399 & 291.947871914499 & 107.052128085501 \tabularnewline
218 & 229 & 303.505234739311 & -74.5052347393111 \tabularnewline
219 & 224 & 265.651627664202 & -41.651627664202 \tabularnewline
220 & 203 & 254.678632529645 & -51.678632529645 \tabularnewline
221 & 333 & 252.700100106152 & 80.2998998938475 \tabularnewline
222 & 384 & 406.814382518667 & -22.8143825186667 \tabularnewline
223 & 636 & 497.58494575715 & 138.41505424285 \tabularnewline
224 & 185 & 244.594457135211 & -59.5944571352113 \tabularnewline
225 & 93 & 120.817826111266 & -27.8178261112664 \tabularnewline
226 & 581 & 603.320878323314 & -22.3208783233138 \tabularnewline
227 & 248 & 340.365369940176 & -92.3653699401758 \tabularnewline
228 & 304 & 269.954830850792 & 34.0451691492077 \tabularnewline
229 & 344 & 318.85743890811 & 25.1425610918898 \tabularnewline
230 & 407 & 286.952366544429 & 120.047633455571 \tabularnewline
231 & 170 & 142.686714302607 & 27.3132856973933 \tabularnewline
232 & 312 & 346.782888101165 & -34.7828881011648 \tabularnewline
233 & 507 & 346.4409009234 & 160.5590990766 \tabularnewline
234 & 224 & 226.940428761129 & -2.94042876112868 \tabularnewline
235 & 340 & 286.531159051508 & 53.4688409484924 \tabularnewline
236 & 168 & 245.040305330566 & -77.0403053305659 \tabularnewline
237 & 443 & 483.69803520158 & -40.6980352015802 \tabularnewline
238 & 204 & 188.951010155096 & 15.0489898449041 \tabularnewline
239 & 367 & 330.972924473819 & 36.0270755261806 \tabularnewline
240 & 210 & 170.452079607987 & 39.547920392013 \tabularnewline
241 & 335 & 339.46756536789 & -4.46756536789034 \tabularnewline
242 & 364 & 528.107290402211 & -164.107290402211 \tabularnewline
243 & 178 & 253.107702287456 & -75.1077022874558 \tabularnewline
244 & 206 & 217.176297944164 & -11.1762979441636 \tabularnewline
245 & 279 & 288.201150027953 & -9.20115002795286 \tabularnewline
246 & 387 & 307.188376784421 & 79.8116232155792 \tabularnewline
247 & 490 & 446.327669224602 & 43.6723307753984 \tabularnewline
248 & 238 & 303.657673031319 & -65.6576730313186 \tabularnewline
249 & 343 & 358.534018297343 & -15.5340182973433 \tabularnewline
250 & 232 & 168.53531347206 & 63.4646865279398 \tabularnewline
251 & 530 & 567.690445112755 & -37.6904451127551 \tabularnewline
252 & 291 & 387.011806571274 & -96.0118065712741 \tabularnewline
253 & 67 & 141.256587724621 & -74.2565877246208 \tabularnewline
254 & 397 & 397.509174772144 & -0.509174772144039 \tabularnewline
255 & 467 & 305.66437585121 & 161.33562414879 \tabularnewline
256 & 178 & 151.06015243375 & 26.9398475662504 \tabularnewline
257 & 175 & 163.708136753558 & 11.2918632464418 \tabularnewline
258 & 299 & 349.8736266575 & -50.8736266575002 \tabularnewline
259 & 154 & 244.766475533617 & -90.7664755336169 \tabularnewline
260 & 106 & 183.783522118081 & -77.7835221180807 \tabularnewline
261 & 189 & 139.906863076144 & 49.0931369238557 \tabularnewline
262 & 194 & 357.189271883486 & -163.189271883486 \tabularnewline
263 & 135 & 162.798995311339 & -27.7989953113393 \tabularnewline
264 & 201 & 229.897666619064 & -28.8976666190636 \tabularnewline
265 & 207 & 205.434484375135 & 1.56551562486466 \tabularnewline
266 & 280 & 315.549156997044 & -35.5491569970437 \tabularnewline
267 & 260 & 271.263517332946 & -11.2635173329463 \tabularnewline
268 & 227 & 278.603989832354 & -51.6039898323544 \tabularnewline
269 & 239 & 405.562137803102 & -166.562137803102 \tabularnewline
270 & 333 & 308.318852917077 & 24.6811470829231 \tabularnewline
271 & 428 & 416.765551627859 & 11.2344483721414 \tabularnewline
272 & 230 & 262.359324875426 & -32.3593248754265 \tabularnewline
273 & 292 & 253.661202247573 & 38.3387977524266 \tabularnewline
274 & 350 & 429.468218602754 & -79.4682186027544 \tabularnewline
275 & 186 & 248.800796620144 & -62.8007966201441 \tabularnewline
276 & 326 & 313.595423284103 & 12.4045767158969 \tabularnewline
277 & 155 & 210.618452207156 & -55.6184522071559 \tabularnewline
278 & 75 & 145.7958747141 & -70.7958747141 \tabularnewline
279 & 361 & 346.687130256992 & 14.3128697430078 \tabularnewline
280 & 261 & 284.769956326821 & -23.7699563268209 \tabularnewline
281 & 299 & 299.632595457827 & -0.63259545782699 \tabularnewline
282 & 300 & 306.062445316468 & -6.06244531646777 \tabularnewline
283 & 450 & 354.570756099907 & 95.4292439000927 \tabularnewline
284 & 183 & 206.380261642206 & -23.380261642206 \tabularnewline
285 & 238 & 223.668120692429 & 14.3318793075708 \tabularnewline
286 & 165 & 174.289262428595 & -9.2892624285949 \tabularnewline
287 & 234 & 229.369535353849 & 4.63046464615095 \tabularnewline
288 & 176 & 262.376640788461 & -86.376640788461 \tabularnewline
289 & 329 & 254.910434878367 & 74.0895651216331 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=190244&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]396[/C][C]709.753319282946[/C][C]-313.753319282946[/C][/ROW]
[ROW][C]2[/C][C]297[/C][C]441.145847282509[/C][C]-144.145847282509[/C][/ROW]
[ROW][C]3[/C][C]559[/C][C]585.862597956776[/C][C]-26.8625979567763[/C][/ROW]
[ROW][C]4[/C][C]967[/C][C]728.603101150404[/C][C]238.396898849596[/C][/ROW]
[ROW][C]5[/C][C]270[/C][C]415.112752119608[/C][C]-145.112752119608[/C][/ROW]
[ROW][C]6[/C][C]143[/C][C]160.451568551752[/C][C]-17.4515685517518[/C][/ROW]
[ROW][C]7[/C][C]1562[/C][C]1205.60595567738[/C][C]356.394044322621[/C][/ROW]
[ROW][C]8[/C][C]109[/C][C]129.881082937531[/C][C]-20.8810829375315[/C][/ROW]
[ROW][C]9[/C][C]371[/C][C]430.662258913738[/C][C]-59.6622589137378[/C][/ROW]
[ROW][C]10[/C][C]656[/C][C]513.234877764757[/C][C]142.765122235243[/C][/ROW]
[ROW][C]11[/C][C]511[/C][C]543.671991403717[/C][C]-32.6719914037173[/C][/ROW]
[ROW][C]12[/C][C]655[/C][C]732.903914208879[/C][C]-77.903914208879[/C][/ROW]
[ROW][C]13[/C][C]465[/C][C]573.912023330136[/C][C]-108.912023330136[/C][/ROW]
[ROW][C]14[/C][C]525[/C][C]460.879782392652[/C][C]64.1202176073477[/C][/ROW]
[ROW][C]15[/C][C]885[/C][C]831.955474713208[/C][C]53.0445252867919[/C][/ROW]
[ROW][C]16[/C][C]497[/C][C]587.513321154175[/C][C]-90.5133211541749[/C][/ROW]
[ROW][C]17[/C][C]1436[/C][C]1096.25157086708[/C][C]339.748429132921[/C][/ROW]
[ROW][C]18[/C][C]612[/C][C]750.253488483786[/C][C]-138.253488483786[/C][/ROW]
[ROW][C]19[/C][C]865[/C][C]798.588946079056[/C][C]66.4110539209445[/C][/ROW]
[ROW][C]20[/C][C]385[/C][C]468.354113703017[/C][C]-83.3541137030169[/C][/ROW]
[ROW][C]21[/C][C]567[/C][C]695.396175549281[/C][C]-128.396175549281[/C][/ROW]
[ROW][C]22[/C][C]639[/C][C]710.877256070786[/C][C]-71.8772560707861[/C][/ROW]
[ROW][C]23[/C][C]963[/C][C]1052.7961455611[/C][C]-89.7961455610967[/C][/ROW]
[ROW][C]24[/C][C]398[/C][C]520.511293958996[/C][C]-122.511293958996[/C][/ROW]
[ROW][C]25[/C][C]410[/C][C]461.386732116539[/C][C]-51.3867321165395[/C][/ROW]
[ROW][C]26[/C][C]966[/C][C]720.260351341779[/C][C]245.739648658221[/C][/ROW]
[ROW][C]27[/C][C]801[/C][C]592.955387902723[/C][C]208.044612097277[/C][/ROW]
[ROW][C]28[/C][C]892[/C][C]790.05119294489[/C][C]101.94880705511[/C][/ROW]
[ROW][C]29[/C][C]513[/C][C]720.735850251152[/C][C]-207.735850251152[/C][/ROW]
[ROW][C]30[/C][C]469[/C][C]403.115188713288[/C][C]65.8848112867116[/C][/ROW]
[ROW][C]31[/C][C]683[/C][C]768.569359553225[/C][C]-85.5693595532249[/C][/ROW]
[ROW][C]32[/C][C]643[/C][C]662.619888070197[/C][C]-19.6198880701966[/C][/ROW]
[ROW][C]33[/C][C]535[/C][C]516.015287012624[/C][C]18.9847129873758[/C][/ROW]
[ROW][C]34[/C][C]625[/C][C]787.758836123454[/C][C]-162.758836123454[/C][/ROW]
[ROW][C]35[/C][C]264[/C][C]277.577972298657[/C][C]-13.5779722986565[/C][/ROW]
[ROW][C]36[/C][C]992[/C][C]924.693224913673[/C][C]67.3067750863267[/C][/ROW]
[ROW][C]37[/C][C]238[/C][C]363.299436194273[/C][C]-125.299436194273[/C][/ROW]
[ROW][C]38[/C][C]818[/C][C]666.060410531335[/C][C]151.939589468665[/C][/ROW]
[ROW][C]39[/C][C]937[/C][C]968.04177268082[/C][C]-31.0417726808195[/C][/ROW]
[ROW][C]40[/C][C]70[/C][C]86.0865445731163[/C][C]-16.0865445731163[/C][/ROW]
[ROW][C]41[/C][C]507[/C][C]558.24646034156[/C][C]-51.2464603415603[/C][/ROW]
[ROW][C]42[/C][C]260[/C][C]370.228376850855[/C][C]-110.228376850855[/C][/ROW]
[ROW][C]43[/C][C]503[/C][C]474.811274762571[/C][C]28.1887252374292[/C][/ROW]
[ROW][C]44[/C][C]927[/C][C]857.943253504813[/C][C]69.0567464951868[/C][/ROW]
[ROW][C]45[/C][C]1269[/C][C]884.262327311926[/C][C]384.737672688074[/C][/ROW]
[ROW][C]46[/C][C]537[/C][C]505.185057208636[/C][C]31.8149427913644[/C][/ROW]
[ROW][C]47[/C][C]910[/C][C]674.86771162205[/C][C]235.13228837795[/C][/ROW]
[ROW][C]48[/C][C]532[/C][C]551.7957565653[/C][C]-19.7957565653001[/C][/ROW]
[ROW][C]49[/C][C]345[/C][C]380.169928624055[/C][C]-35.1699286240553[/C][/ROW]
[ROW][C]50[/C][C]918[/C][C]364.015923235702[/C][C]553.984076764298[/C][/ROW]
[ROW][C]51[/C][C]1635[/C][C]1820.78342339804[/C][C]-185.783423398041[/C][/ROW]
[ROW][C]52[/C][C]330[/C][C]277.46461269257[/C][C]52.5353873074298[/C][/ROW]
[ROW][C]53[/C][C]557[/C][C]588.74172353361[/C][C]-31.7417235336094[/C][/ROW]
[ROW][C]54[/C][C]1178[/C][C]965.655317466762[/C][C]212.344682533238[/C][/ROW]
[ROW][C]55[/C][C]740[/C][C]515.130709091265[/C][C]224.869290908735[/C][/ROW]
[ROW][C]56[/C][C]452[/C][C]539.679945934165[/C][C]-87.6799459341652[/C][/ROW]
[ROW][C]57[/C][C]218[/C][C]148.473511950599[/C][C]69.5264880494007[/C][/ROW]
[ROW][C]58[/C][C]764[/C][C]1110.27920565814[/C][C]-346.279205658139[/C][/ROW]
[ROW][C]59[/C][C]255[/C][C]239.100456829631[/C][C]15.8995431703687[/C][/ROW]
[ROW][C]60[/C][C]454[/C][C]428.10921635485[/C][C]25.8907836451501[/C][/ROW]
[ROW][C]61[/C][C]866[/C][C]744.522152093776[/C][C]121.477847906224[/C][/ROW]
[ROW][C]62[/C][C]574[/C][C]766.663301753457[/C][C]-192.663301753457[/C][/ROW]
[ROW][C]63[/C][C]1276[/C][C]1271.23604814717[/C][C]4.76395185282809[/C][/ROW]
[ROW][C]64[/C][C]379[/C][C]393.703736512869[/C][C]-14.7037365128686[/C][/ROW]
[ROW][C]65[/C][C]825[/C][C]942.081923586398[/C][C]-117.081923586398[/C][/ROW]
[ROW][C]66[/C][C]798[/C][C]841.105629219029[/C][C]-43.1056292190293[/C][/ROW]
[ROW][C]67[/C][C]663[/C][C]741.955180341068[/C][C]-78.9551803410683[/C][/ROW]
[ROW][C]68[/C][C]1069[/C][C]1023.89061754814[/C][C]45.1093824518555[/C][/ROW]
[ROW][C]69[/C][C]921[/C][C]937.717428583849[/C][C]-16.7174285838487[/C][/ROW]
[ROW][C]70[/C][C]858[/C][C]597.919055572689[/C][C]260.080944427311[/C][/ROW]
[ROW][C]71[/C][C]711[/C][C]653.902951789263[/C][C]57.0970482107374[/C][/ROW]
[ROW][C]72[/C][C]503[/C][C]589.921004104139[/C][C]-86.9210041041389[/C][/ROW]
[ROW][C]73[/C][C]382[/C][C]575.461370378118[/C][C]-193.461370378118[/C][/ROW]
[ROW][C]74[/C][C]464[/C][C]531.353468150175[/C][C]-67.3534681501751[/C][/ROW]
[ROW][C]75[/C][C]717[/C][C]684.373571131213[/C][C]32.6264288687869[/C][/ROW]
[ROW][C]76[/C][C]690[/C][C]683.850569061246[/C][C]6.1494309387542[/C][/ROW]
[ROW][C]77[/C][C]462[/C][C]528.544879990636[/C][C]-66.5448799906364[/C][/ROW]
[ROW][C]78[/C][C]657[/C][C]615.424305606742[/C][C]41.5756943932577[/C][/ROW]
[ROW][C]79[/C][C]385[/C][C]277.021780006875[/C][C]107.978219993125[/C][/ROW]
[ROW][C]80[/C][C]577[/C][C]606.041784340815[/C][C]-29.0417843408149[/C][/ROW]
[ROW][C]81[/C][C]619[/C][C]578.606869116234[/C][C]40.393130883766[/C][/ROW]
[ROW][C]82[/C][C]479[/C][C]504.664921639012[/C][C]-25.6649216390117[/C][/ROW]
[ROW][C]83[/C][C]817[/C][C]907.975415826146[/C][C]-90.9754158261456[/C][/ROW]
[ROW][C]84[/C][C]752[/C][C]768.455097217791[/C][C]-16.4550972177913[/C][/ROW]
[ROW][C]85[/C][C]430[/C][C]605.113623189281[/C][C]-175.113623189281[/C][/ROW]
[ROW][C]86[/C][C]451[/C][C]492.617403457579[/C][C]-41.6174034575791[/C][/ROW]
[ROW][C]87[/C][C]537[/C][C]488.0282911598[/C][C]48.9717088401996[/C][/ROW]
[ROW][C]88[/C][C]519[/C][C]405.155083721092[/C][C]113.844916278908[/C][/ROW]
[ROW][C]89[/C][C]1000[/C][C]1098.34961037995[/C][C]-98.349610379948[/C][/ROW]
[ROW][C]90[/C][C]637[/C][C]473.937455575195[/C][C]163.062544424805[/C][/ROW]
[ROW][C]91[/C][C]465[/C][C]639.384069982938[/C][C]-174.384069982938[/C][/ROW]
[ROW][C]92[/C][C]437[/C][C]339.611927986472[/C][C]97.3880720135278[/C][/ROW]
[ROW][C]93[/C][C]711[/C][C]509.992566461738[/C][C]201.007433538262[/C][/ROW]
[ROW][C]94[/C][C]299[/C][C]475.077871439409[/C][C]-176.077871439409[/C][/ROW]
[ROW][C]95[/C][C]248[/C][C]382.658235098089[/C][C]-134.658235098089[/C][/ROW]
[ROW][C]96[/C][C]1162[/C][C]1122.63110660697[/C][C]39.3688933930256[/C][/ROW]
[ROW][C]97[/C][C]714[/C][C]714.141701630074[/C][C]-0.141701630073811[/C][/ROW]
[ROW][C]98[/C][C]905[/C][C]580.62228834611[/C][C]324.37771165389[/C][/ROW]
[ROW][C]99[/C][C]649[/C][C]634.389613440294[/C][C]14.6103865597063[/C][/ROW]
[ROW][C]100[/C][C]512[/C][C]657.980933805179[/C][C]-145.980933805179[/C][/ROW]
[ROW][C]101[/C][C]472[/C][C]506.657827138326[/C][C]-34.6578271383258[/C][/ROW]
[ROW][C]102[/C][C]905[/C][C]738.489605581427[/C][C]166.510394418573[/C][/ROW]
[ROW][C]103[/C][C]786[/C][C]812.139115316268[/C][C]-26.1391153162678[/C][/ROW]
[ROW][C]104[/C][C]489[/C][C]534.095914637126[/C][C]-45.0959146371262[/C][/ROW]
[ROW][C]105[/C][C]479[/C][C]610.534681586169[/C][C]-131.534681586169[/C][/ROW]
[ROW][C]106[/C][C]617[/C][C]765.826234505878[/C][C]-148.826234505878[/C][/ROW]
[ROW][C]107[/C][C]925[/C][C]909.380179212786[/C][C]15.6198207872143[/C][/ROW]
[ROW][C]108[/C][C]351[/C][C]334.675711404627[/C][C]16.3242885953725[/C][/ROW]
[ROW][C]109[/C][C]1144[/C][C]1085.73044936734[/C][C]58.269550632657[/C][/ROW]
[ROW][C]110[/C][C]669[/C][C]736.283706307584[/C][C]-67.2837063075837[/C][/ROW]
[ROW][C]111[/C][C]707[/C][C]772.592294290616[/C][C]-65.5922942906164[/C][/ROW]
[ROW][C]112[/C][C]458[/C][C]494.678868694246[/C][C]-36.678868694246[/C][/ROW]
[ROW][C]113[/C][C]214[/C][C]187.250643759573[/C][C]26.7493562404266[/C][/ROW]
[ROW][C]114[/C][C]599[/C][C]598.649082848892[/C][C]0.350917151107933[/C][/ROW]
[ROW][C]115[/C][C]572[/C][C]572.219890955208[/C][C]-0.219890955208427[/C][/ROW]
[ROW][C]116[/C][C]897[/C][C]698.097811614566[/C][C]198.902188385434[/C][/ROW]
[ROW][C]117[/C][C]819[/C][C]804.698397532138[/C][C]14.3016024678616[/C][/ROW]
[ROW][C]118[/C][C]720[/C][C]774.452034604485[/C][C]-54.4520346044847[/C][/ROW]
[ROW][C]119[/C][C]273[/C][C]315.823266416014[/C][C]-42.8232664160137[/C][/ROW]
[ROW][C]120[/C][C]508[/C][C]464.384412538909[/C][C]43.6155874610912[/C][/ROW]
[ROW][C]121[/C][C]506[/C][C]504.210652564065[/C][C]1.78934743593486[/C][/ROW]
[ROW][C]122[/C][C]451[/C][C]299.702865083676[/C][C]151.297134916324[/C][/ROW]
[ROW][C]123[/C][C]699[/C][C]655.027307216575[/C][C]43.9726927834246[/C][/ROW]
[ROW][C]124[/C][C]407[/C][C]411.277866866665[/C][C]-4.27786686666478[/C][/ROW]
[ROW][C]125[/C][C]465[/C][C]673.482939018791[/C][C]-208.482939018791[/C][/ROW]
[ROW][C]126[/C][C]245[/C][C]339.744804707572[/C][C]-94.744804707572[/C][/ROW]
[ROW][C]127[/C][C]370[/C][C]421.039025622075[/C][C]-51.0390256220755[/C][/ROW]
[ROW][C]128[/C][C]316[/C][C]408.480994261195[/C][C]-92.4809942611952[/C][/ROW]
[ROW][C]129[/C][C]603[/C][C]782.9389265047[/C][C]-179.9389265047[/C][/ROW]
[ROW][C]130[/C][C]154[/C][C]141.724992311373[/C][C]12.2750076886267[/C][/ROW]
[ROW][C]131[/C][C]229[/C][C]224.272500256172[/C][C]4.7274997438283[/C][/ROW]
[ROW][C]132[/C][C]577[/C][C]533.475294019618[/C][C]43.5247059803818[/C][/ROW]
[ROW][C]133[/C][C]192[/C][C]264.784385071732[/C][C]-72.7843850717319[/C][/ROW]
[ROW][C]134[/C][C]617[/C][C]431.938361426722[/C][C]185.061638573278[/C][/ROW]
[ROW][C]135[/C][C]411[/C][C]468.466781707061[/C][C]-57.4667817070611[/C][/ROW]
[ROW][C]136[/C][C]975[/C][C]994.28379594149[/C][C]-19.2837959414901[/C][/ROW]
[ROW][C]137[/C][C]146[/C][C]126.671878113801[/C][C]19.3281218861989[/C][/ROW]
[ROW][C]138[/C][C]705[/C][C]680.940366418464[/C][C]24.0596335815364[/C][/ROW]
[ROW][C]139[/C][C]184[/C][C]137.561521764618[/C][C]46.4384782353822[/C][/ROW]
[ROW][C]140[/C][C]200[/C][C]162.361649165261[/C][C]37.6383508347389[/C][/ROW]
[ROW][C]141[/C][C]274[/C][C]205.802496516078[/C][C]68.1975034839224[/C][/ROW]
[ROW][C]142[/C][C]502[/C][C]509.218253830269[/C][C]-7.21825383026859[/C][/ROW]
[ROW][C]143[/C][C]382[/C][C]362.051167270475[/C][C]19.9488327295252[/C][/ROW]
[ROW][C]144[/C][C]964[/C][C]894.622816623393[/C][C]69.3771833766074[/C][/ROW]
[ROW][C]145[/C][C]537[/C][C]580.844189053564[/C][C]-43.8441890535638[/C][/ROW]
[ROW][C]146[/C][C]438[/C][C]385.47406732176[/C][C]52.5259326782404[/C][/ROW]
[ROW][C]147[/C][C]369[/C][C]455.183860160829[/C][C]-86.1838601608288[/C][/ROW]
[ROW][C]148[/C][C]417[/C][C]320.530239488926[/C][C]96.4697605110738[/C][/ROW]
[ROW][C]149[/C][C]276[/C][C]219.766905685419[/C][C]56.2330943145811[/C][/ROW]
[ROW][C]150[/C][C]514[/C][C]499.255809736468[/C][C]14.7441902635316[/C][/ROW]
[ROW][C]151[/C][C]822[/C][C]846.32340526576[/C][C]-24.32340526576[/C][/ROW]
[ROW][C]152[/C][C]389[/C][C]466.068511331147[/C][C]-77.0685113311471[/C][/ROW]
[ROW][C]153[/C][C]466[/C][C]404.425765002028[/C][C]61.5742349979718[/C][/ROW]
[ROW][C]154[/C][C]1255[/C][C]1078.67523446045[/C][C]176.324765539545[/C][/ROW]
[ROW][C]155[/C][C]694[/C][C]866.578921328143[/C][C]-172.578921328143[/C][/ROW]
[ROW][C]156[/C][C]1024[/C][C]1112.81136995177[/C][C]-88.8113699517709[/C][/ROW]
[ROW][C]157[/C][C]400[/C][C]466.822058207974[/C][C]-66.8220582079741[/C][/ROW]
[ROW][C]158[/C][C]397[/C][C]454.408583433913[/C][C]-57.4085834339125[/C][/ROW]
[ROW][C]159[/C][C]350[/C][C]267.72943688212[/C][C]82.2705631178798[/C][/ROW]
[ROW][C]160[/C][C]719[/C][C]902.82715106735[/C][C]-183.82715106735[/C][/ROW]
[ROW][C]161[/C][C]1277[/C][C]1168.57862238629[/C][C]108.421377613707[/C][/ROW]
[ROW][C]162[/C][C]356[/C][C]333.166501089313[/C][C]22.8334989106874[/C][/ROW]
[ROW][C]163[/C][C]457[/C][C]491.773473063514[/C][C]-34.7734730635137[/C][/ROW]
[ROW][C]164[/C][C]1402[/C][C]1077.38774006324[/C][C]324.612259936761[/C][/ROW]
[ROW][C]165[/C][C]600[/C][C]458.210522310074[/C][C]141.789477689926[/C][/ROW]
[ROW][C]166[/C][C]480[/C][C]653.383245669922[/C][C]-173.383245669922[/C][/ROW]
[ROW][C]167[/C][C]595[/C][C]644.708160400049[/C][C]-49.7081604000493[/C][/ROW]
[ROW][C]168[/C][C]436[/C][C]457.294796478508[/C][C]-21.2947964785081[/C][/ROW]
[ROW][C]169[/C][C]230[/C][C]419.867115065155[/C][C]-189.867115065155[/C][/ROW]
[ROW][C]170[/C][C]651[/C][C]780.250487529604[/C][C]-129.250487529604[/C][/ROW]
[ROW][C]171[/C][C]1367[/C][C]1022.7581649843[/C][C]344.241835015703[/C][/ROW]
[ROW][C]172[/C][C]564[/C][C]666.265437335741[/C][C]-102.265437335741[/C][/ROW]
[ROW][C]173[/C][C]716[/C][C]558.096399222089[/C][C]157.903600777911[/C][/ROW]
[ROW][C]174[/C][C]747[/C][C]857.825465441103[/C][C]-110.825465441103[/C][/ROW]
[ROW][C]175[/C][C]467[/C][C]498.309038597011[/C][C]-31.3090385970109[/C][/ROW]
[ROW][C]176[/C][C]671[/C][C]477.638758168632[/C][C]193.361241831369[/C][/ROW]
[ROW][C]177[/C][C]861[/C][C]645.120565961131[/C][C]215.879434038869[/C][/ROW]
[ROW][C]178[/C][C]319[/C][C]332.423190562249[/C][C]-13.4231905622489[/C][/ROW]
[ROW][C]179[/C][C]612[/C][C]742.420004972623[/C][C]-130.420004972623[/C][/ROW]
[ROW][C]180[/C][C]433[/C][C]540.708896756585[/C][C]-107.708896756585[/C][/ROW]
[ROW][C]181[/C][C]434[/C][C]385.218158669302[/C][C]48.7818413306982[/C][/ROW]
[ROW][C]182[/C][C]503[/C][C]404.753864715038[/C][C]98.2461352849625[/C][/ROW]
[ROW][C]183[/C][C]85[/C][C]104.817380461499[/C][C]-19.8173804614989[/C][/ROW]
[ROW][C]184[/C][C]564[/C][C]560.888199369108[/C][C]3.11180063089219[/C][/ROW]
[ROW][C]185[/C][C]824[/C][C]899.241502223016[/C][C]-75.2415022230156[/C][/ROW]
[ROW][C]186[/C][C]74[/C][C]86.6750830901165[/C][C]-12.6750830901165[/C][/ROW]
[ROW][C]187[/C][C]259[/C][C]189.179054278097[/C][C]69.8209457219029[/C][/ROW]
[ROW][C]188[/C][C]69[/C][C]103.565579482267[/C][C]-34.5655794822673[/C][/ROW]
[ROW][C]189[/C][C]535[/C][C]463.687588126287[/C][C]71.3124118737131[/C][/ROW]
[ROW][C]190[/C][C]239[/C][C]313.701479212874[/C][C]-74.7014792128743[/C][/ROW]
[ROW][C]191[/C][C]438[/C][C]483.988037064426[/C][C]-45.9880370644258[/C][/ROW]
[ROW][C]192[/C][C]459[/C][C]320.396862240313[/C][C]138.603137759687[/C][/ROW]
[ROW][C]193[/C][C]426[/C][C]448.439182486133[/C][C]-22.4391824861332[/C][/ROW]
[ROW][C]194[/C][C]288[/C][C]452.909596131991[/C][C]-164.909596131991[/C][/ROW]
[ROW][C]195[/C][C]498[/C][C]465.507600683954[/C][C]32.492399316046[/C][/ROW]
[ROW][C]196[/C][C]454[/C][C]495.770921099493[/C][C]-41.7709210994933[/C][/ROW]
[ROW][C]197[/C][C]376[/C][C]247.674969328236[/C][C]128.325030671764[/C][/ROW]
[ROW][C]198[/C][C]225[/C][C]239.809864741186[/C][C]-14.8098647411863[/C][/ROW]
[ROW][C]199[/C][C]555[/C][C]370.318824452884[/C][C]184.681175547116[/C][/ROW]
[ROW][C]200[/C][C]252[/C][C]281.915184026681[/C][C]-29.9151840266807[/C][/ROW]
[ROW][C]201[/C][C]208[/C][C]291.016277609424[/C][C]-83.0162776094238[/C][/ROW]
[ROW][C]202[/C][C]130[/C][C]161.441905425475[/C][C]-31.441905425475[/C][/ROW]
[ROW][C]203[/C][C]481[/C][C]522.102440316675[/C][C]-41.1024403166751[/C][/ROW]
[ROW][C]204[/C][C]389[/C][C]432.82083838876[/C][C]-43.8208383887601[/C][/ROW]
[ROW][C]205[/C][C]565[/C][C]414.329776662589[/C][C]150.670223337411[/C][/ROW]
[ROW][C]206[/C][C]173[/C][C]150.454719466377[/C][C]22.545280533623[/C][/ROW]
[ROW][C]207[/C][C]278[/C][C]305.482395639543[/C][C]-27.4823956395431[/C][/ROW]
[ROW][C]208[/C][C]609[/C][C]600.637093377919[/C][C]8.3629066220808[/C][/ROW]
[ROW][C]209[/C][C]422[/C][C]451.502515199637[/C][C]-29.5025151996369[/C][/ROW]
[ROW][C]210[/C][C]445[/C][C]403.132855671991[/C][C]41.8671443280088[/C][/ROW]
[ROW][C]211[/C][C]387[/C][C]407.951114033687[/C][C]-20.9511140336874[/C][/ROW]
[ROW][C]212[/C][C]339[/C][C]415.985127425093[/C][C]-76.9851274250928[/C][/ROW]
[ROW][C]213[/C][C]181[/C][C]212.273014174836[/C][C]-31.2730141748359[/C][/ROW]
[ROW][C]214[/C][C]245[/C][C]293.603235085771[/C][C]-48.6032350857713[/C][/ROW]
[ROW][C]215[/C][C]384[/C][C]220.266654403245[/C][C]163.733345596755[/C][/ROW]
[ROW][C]216[/C][C]212[/C][C]197.275220049713[/C][C]14.7247799502867[/C][/ROW]
[ROW][C]217[/C][C]399[/C][C]291.947871914499[/C][C]107.052128085501[/C][/ROW]
[ROW][C]218[/C][C]229[/C][C]303.505234739311[/C][C]-74.5052347393111[/C][/ROW]
[ROW][C]219[/C][C]224[/C][C]265.651627664202[/C][C]-41.651627664202[/C][/ROW]
[ROW][C]220[/C][C]203[/C][C]254.678632529645[/C][C]-51.678632529645[/C][/ROW]
[ROW][C]221[/C][C]333[/C][C]252.700100106152[/C][C]80.2998998938475[/C][/ROW]
[ROW][C]222[/C][C]384[/C][C]406.814382518667[/C][C]-22.8143825186667[/C][/ROW]
[ROW][C]223[/C][C]636[/C][C]497.58494575715[/C][C]138.41505424285[/C][/ROW]
[ROW][C]224[/C][C]185[/C][C]244.594457135211[/C][C]-59.5944571352113[/C][/ROW]
[ROW][C]225[/C][C]93[/C][C]120.817826111266[/C][C]-27.8178261112664[/C][/ROW]
[ROW][C]226[/C][C]581[/C][C]603.320878323314[/C][C]-22.3208783233138[/C][/ROW]
[ROW][C]227[/C][C]248[/C][C]340.365369940176[/C][C]-92.3653699401758[/C][/ROW]
[ROW][C]228[/C][C]304[/C][C]269.954830850792[/C][C]34.0451691492077[/C][/ROW]
[ROW][C]229[/C][C]344[/C][C]318.85743890811[/C][C]25.1425610918898[/C][/ROW]
[ROW][C]230[/C][C]407[/C][C]286.952366544429[/C][C]120.047633455571[/C][/ROW]
[ROW][C]231[/C][C]170[/C][C]142.686714302607[/C][C]27.3132856973933[/C][/ROW]
[ROW][C]232[/C][C]312[/C][C]346.782888101165[/C][C]-34.7828881011648[/C][/ROW]
[ROW][C]233[/C][C]507[/C][C]346.4409009234[/C][C]160.5590990766[/C][/ROW]
[ROW][C]234[/C][C]224[/C][C]226.940428761129[/C][C]-2.94042876112868[/C][/ROW]
[ROW][C]235[/C][C]340[/C][C]286.531159051508[/C][C]53.4688409484924[/C][/ROW]
[ROW][C]236[/C][C]168[/C][C]245.040305330566[/C][C]-77.0403053305659[/C][/ROW]
[ROW][C]237[/C][C]443[/C][C]483.69803520158[/C][C]-40.6980352015802[/C][/ROW]
[ROW][C]238[/C][C]204[/C][C]188.951010155096[/C][C]15.0489898449041[/C][/ROW]
[ROW][C]239[/C][C]367[/C][C]330.972924473819[/C][C]36.0270755261806[/C][/ROW]
[ROW][C]240[/C][C]210[/C][C]170.452079607987[/C][C]39.547920392013[/C][/ROW]
[ROW][C]241[/C][C]335[/C][C]339.46756536789[/C][C]-4.46756536789034[/C][/ROW]
[ROW][C]242[/C][C]364[/C][C]528.107290402211[/C][C]-164.107290402211[/C][/ROW]
[ROW][C]243[/C][C]178[/C][C]253.107702287456[/C][C]-75.1077022874558[/C][/ROW]
[ROW][C]244[/C][C]206[/C][C]217.176297944164[/C][C]-11.1762979441636[/C][/ROW]
[ROW][C]245[/C][C]279[/C][C]288.201150027953[/C][C]-9.20115002795286[/C][/ROW]
[ROW][C]246[/C][C]387[/C][C]307.188376784421[/C][C]79.8116232155792[/C][/ROW]
[ROW][C]247[/C][C]490[/C][C]446.327669224602[/C][C]43.6723307753984[/C][/ROW]
[ROW][C]248[/C][C]238[/C][C]303.657673031319[/C][C]-65.6576730313186[/C][/ROW]
[ROW][C]249[/C][C]343[/C][C]358.534018297343[/C][C]-15.5340182973433[/C][/ROW]
[ROW][C]250[/C][C]232[/C][C]168.53531347206[/C][C]63.4646865279398[/C][/ROW]
[ROW][C]251[/C][C]530[/C][C]567.690445112755[/C][C]-37.6904451127551[/C][/ROW]
[ROW][C]252[/C][C]291[/C][C]387.011806571274[/C][C]-96.0118065712741[/C][/ROW]
[ROW][C]253[/C][C]67[/C][C]141.256587724621[/C][C]-74.2565877246208[/C][/ROW]
[ROW][C]254[/C][C]397[/C][C]397.509174772144[/C][C]-0.509174772144039[/C][/ROW]
[ROW][C]255[/C][C]467[/C][C]305.66437585121[/C][C]161.33562414879[/C][/ROW]
[ROW][C]256[/C][C]178[/C][C]151.06015243375[/C][C]26.9398475662504[/C][/ROW]
[ROW][C]257[/C][C]175[/C][C]163.708136753558[/C][C]11.2918632464418[/C][/ROW]
[ROW][C]258[/C][C]299[/C][C]349.8736266575[/C][C]-50.8736266575002[/C][/ROW]
[ROW][C]259[/C][C]154[/C][C]244.766475533617[/C][C]-90.7664755336169[/C][/ROW]
[ROW][C]260[/C][C]106[/C][C]183.783522118081[/C][C]-77.7835221180807[/C][/ROW]
[ROW][C]261[/C][C]189[/C][C]139.906863076144[/C][C]49.0931369238557[/C][/ROW]
[ROW][C]262[/C][C]194[/C][C]357.189271883486[/C][C]-163.189271883486[/C][/ROW]
[ROW][C]263[/C][C]135[/C][C]162.798995311339[/C][C]-27.7989953113393[/C][/ROW]
[ROW][C]264[/C][C]201[/C][C]229.897666619064[/C][C]-28.8976666190636[/C][/ROW]
[ROW][C]265[/C][C]207[/C][C]205.434484375135[/C][C]1.56551562486466[/C][/ROW]
[ROW][C]266[/C][C]280[/C][C]315.549156997044[/C][C]-35.5491569970437[/C][/ROW]
[ROW][C]267[/C][C]260[/C][C]271.263517332946[/C][C]-11.2635173329463[/C][/ROW]
[ROW][C]268[/C][C]227[/C][C]278.603989832354[/C][C]-51.6039898323544[/C][/ROW]
[ROW][C]269[/C][C]239[/C][C]405.562137803102[/C][C]-166.562137803102[/C][/ROW]
[ROW][C]270[/C][C]333[/C][C]308.318852917077[/C][C]24.6811470829231[/C][/ROW]
[ROW][C]271[/C][C]428[/C][C]416.765551627859[/C][C]11.2344483721414[/C][/ROW]
[ROW][C]272[/C][C]230[/C][C]262.359324875426[/C][C]-32.3593248754265[/C][/ROW]
[ROW][C]273[/C][C]292[/C][C]253.661202247573[/C][C]38.3387977524266[/C][/ROW]
[ROW][C]274[/C][C]350[/C][C]429.468218602754[/C][C]-79.4682186027544[/C][/ROW]
[ROW][C]275[/C][C]186[/C][C]248.800796620144[/C][C]-62.8007966201441[/C][/ROW]
[ROW][C]276[/C][C]326[/C][C]313.595423284103[/C][C]12.4045767158969[/C][/ROW]
[ROW][C]277[/C][C]155[/C][C]210.618452207156[/C][C]-55.6184522071559[/C][/ROW]
[ROW][C]278[/C][C]75[/C][C]145.7958747141[/C][C]-70.7958747141[/C][/ROW]
[ROW][C]279[/C][C]361[/C][C]346.687130256992[/C][C]14.3128697430078[/C][/ROW]
[ROW][C]280[/C][C]261[/C][C]284.769956326821[/C][C]-23.7699563268209[/C][/ROW]
[ROW][C]281[/C][C]299[/C][C]299.632595457827[/C][C]-0.63259545782699[/C][/ROW]
[ROW][C]282[/C][C]300[/C][C]306.062445316468[/C][C]-6.06244531646777[/C][/ROW]
[ROW][C]283[/C][C]450[/C][C]354.570756099907[/C][C]95.4292439000927[/C][/ROW]
[ROW][C]284[/C][C]183[/C][C]206.380261642206[/C][C]-23.380261642206[/C][/ROW]
[ROW][C]285[/C][C]238[/C][C]223.668120692429[/C][C]14.3318793075708[/C][/ROW]
[ROW][C]286[/C][C]165[/C][C]174.289262428595[/C][C]-9.2892624285949[/C][/ROW]
[ROW][C]287[/C][C]234[/C][C]229.369535353849[/C][C]4.63046464615095[/C][/ROW]
[ROW][C]288[/C][C]176[/C][C]262.376640788461[/C][C]-86.376640788461[/C][/ROW]
[ROW][C]289[/C][C]329[/C][C]254.910434878367[/C][C]74.0895651216331[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=190244&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=190244&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
1396709.753319282946-313.753319282946
2297441.145847282509-144.145847282509
3559585.862597956776-26.8625979567763
4967728.603101150404238.396898849596
5270415.112752119608-145.112752119608
6143160.451568551752-17.4515685517518
715621205.60595567738356.394044322621
8109129.881082937531-20.8810829375315
9371430.662258913738-59.6622589137378
10656513.234877764757142.765122235243
11511543.671991403717-32.6719914037173
12655732.903914208879-77.903914208879
13465573.912023330136-108.912023330136
14525460.87978239265264.1202176073477
15885831.95547471320853.0445252867919
16497587.513321154175-90.5133211541749
1714361096.25157086708339.748429132921
18612750.253488483786-138.253488483786
19865798.58894607905666.4110539209445
20385468.354113703017-83.3541137030169
21567695.396175549281-128.396175549281
22639710.877256070786-71.8772560707861
239631052.7961455611-89.7961455610967
24398520.511293958996-122.511293958996
25410461.386732116539-51.3867321165395
26966720.260351341779245.739648658221
27801592.955387902723208.044612097277
28892790.05119294489101.94880705511
29513720.735850251152-207.735850251152
30469403.11518871328865.8848112867116
31683768.569359553225-85.5693595532249
32643662.619888070197-19.6198880701966
33535516.01528701262418.9847129873758
34625787.758836123454-162.758836123454
35264277.577972298657-13.5779722986565
36992924.69322491367367.3067750863267
37238363.299436194273-125.299436194273
38818666.060410531335151.939589468665
39937968.04177268082-31.0417726808195
407086.0865445731163-16.0865445731163
41507558.24646034156-51.2464603415603
42260370.228376850855-110.228376850855
43503474.81127476257128.1887252374292
44927857.94325350481369.0567464951868
451269884.262327311926384.737672688074
46537505.18505720863631.8149427913644
47910674.86771162205235.13228837795
48532551.7957565653-19.7957565653001
49345380.169928624055-35.1699286240553
50918364.015923235702553.984076764298
5116351820.78342339804-185.783423398041
52330277.4646126925752.5353873074298
53557588.74172353361-31.7417235336094
541178965.655317466762212.344682533238
55740515.130709091265224.869290908735
56452539.679945934165-87.6799459341652
57218148.47351195059969.5264880494007
587641110.27920565814-346.279205658139
59255239.10045682963115.8995431703687
60454428.1092163548525.8907836451501
61866744.522152093776121.477847906224
62574766.663301753457-192.663301753457
6312761271.236048147174.76395185282809
64379393.703736512869-14.7037365128686
65825942.081923586398-117.081923586398
66798841.105629219029-43.1056292190293
67663741.955180341068-78.9551803410683
6810691023.8906175481445.1093824518555
69921937.717428583849-16.7174285838487
70858597.919055572689260.080944427311
71711653.90295178926357.0970482107374
72503589.921004104139-86.9210041041389
73382575.461370378118-193.461370378118
74464531.353468150175-67.3534681501751
75717684.37357113121332.6264288687869
76690683.8505690612466.1494309387542
77462528.544879990636-66.5448799906364
78657615.42430560674241.5756943932577
79385277.021780006875107.978219993125
80577606.041784340815-29.0417843408149
81619578.60686911623440.393130883766
82479504.664921639012-25.6649216390117
83817907.975415826146-90.9754158261456
84752768.455097217791-16.4550972177913
85430605.113623189281-175.113623189281
86451492.617403457579-41.6174034575791
87537488.028291159848.9717088401996
88519405.155083721092113.844916278908
8910001098.34961037995-98.349610379948
90637473.937455575195163.062544424805
91465639.384069982938-174.384069982938
92437339.61192798647297.3880720135278
93711509.992566461738201.007433538262
94299475.077871439409-176.077871439409
95248382.658235098089-134.658235098089
9611621122.6311066069739.3688933930256
97714714.141701630074-0.141701630073811
98905580.62228834611324.37771165389
99649634.38961344029414.6103865597063
100512657.980933805179-145.980933805179
101472506.657827138326-34.6578271383258
102905738.489605581427166.510394418573
103786812.139115316268-26.1391153162678
104489534.095914637126-45.0959146371262
105479610.534681586169-131.534681586169
106617765.826234505878-148.826234505878
107925909.38017921278615.6198207872143
108351334.67571140462716.3242885953725
10911441085.7304493673458.269550632657
110669736.283706307584-67.2837063075837
111707772.592294290616-65.5922942906164
112458494.678868694246-36.678868694246
113214187.25064375957326.7493562404266
114599598.6490828488920.350917151107933
115572572.219890955208-0.219890955208427
116897698.097811614566198.902188385434
117819804.69839753213814.3016024678616
118720774.452034604485-54.4520346044847
119273315.823266416014-42.8232664160137
120508464.38441253890943.6155874610912
121506504.2106525640651.78934743593486
122451299.702865083676151.297134916324
123699655.02730721657543.9726927834246
124407411.277866866665-4.27786686666478
125465673.482939018791-208.482939018791
126245339.744804707572-94.744804707572
127370421.039025622075-51.0390256220755
128316408.480994261195-92.4809942611952
129603782.9389265047-179.9389265047
130154141.72499231137312.2750076886267
131229224.2725002561724.7274997438283
132577533.47529401961843.5247059803818
133192264.784385071732-72.7843850717319
134617431.938361426722185.061638573278
135411468.466781707061-57.4667817070611
136975994.28379594149-19.2837959414901
137146126.67187811380119.3281218861989
138705680.94036641846424.0596335815364
139184137.56152176461846.4384782353822
140200162.36164916526137.6383508347389
141274205.80249651607868.1975034839224
142502509.218253830269-7.21825383026859
143382362.05116727047519.9488327295252
144964894.62281662339369.3771833766074
145537580.844189053564-43.8441890535638
146438385.4740673217652.5259326782404
147369455.183860160829-86.1838601608288
148417320.53023948892696.4697605110738
149276219.76690568541956.2330943145811
150514499.25580973646814.7441902635316
151822846.32340526576-24.32340526576
152389466.068511331147-77.0685113311471
153466404.42576500202861.5742349979718
15412551078.67523446045176.324765539545
155694866.578921328143-172.578921328143
15610241112.81136995177-88.8113699517709
157400466.822058207974-66.8220582079741
158397454.408583433913-57.4085834339125
159350267.7294368821282.2705631178798
160719902.82715106735-183.82715106735
16112771168.57862238629108.421377613707
162356333.16650108931322.8334989106874
163457491.773473063514-34.7734730635137
16414021077.38774006324324.612259936761
165600458.210522310074141.789477689926
166480653.383245669922-173.383245669922
167595644.708160400049-49.7081604000493
168436457.294796478508-21.2947964785081
169230419.867115065155-189.867115065155
170651780.250487529604-129.250487529604
17113671022.7581649843344.241835015703
172564666.265437335741-102.265437335741
173716558.096399222089157.903600777911
174747857.825465441103-110.825465441103
175467498.309038597011-31.3090385970109
176671477.638758168632193.361241831369
177861645.120565961131215.879434038869
178319332.423190562249-13.4231905622489
179612742.420004972623-130.420004972623
180433540.708896756585-107.708896756585
181434385.21815866930248.7818413306982
182503404.75386471503898.2461352849625
18385104.817380461499-19.8173804614989
184564560.8881993691083.11180063089219
185824899.241502223016-75.2415022230156
1867486.6750830901165-12.6750830901165
187259189.17905427809769.8209457219029
18869103.565579482267-34.5655794822673
189535463.68758812628771.3124118737131
190239313.701479212874-74.7014792128743
191438483.988037064426-45.9880370644258
192459320.396862240313138.603137759687
193426448.439182486133-22.4391824861332
194288452.909596131991-164.909596131991
195498465.50760068395432.492399316046
196454495.770921099493-41.7709210994933
197376247.674969328236128.325030671764
198225239.809864741186-14.8098647411863
199555370.318824452884184.681175547116
200252281.915184026681-29.9151840266807
201208291.016277609424-83.0162776094238
202130161.441905425475-31.441905425475
203481522.102440316675-41.1024403166751
204389432.82083838876-43.8208383887601
205565414.329776662589150.670223337411
206173150.45471946637722.545280533623
207278305.482395639543-27.4823956395431
208609600.6370933779198.3629066220808
209422451.502515199637-29.5025151996369
210445403.13285567199141.8671443280088
211387407.951114033687-20.9511140336874
212339415.985127425093-76.9851274250928
213181212.273014174836-31.2730141748359
214245293.603235085771-48.6032350857713
215384220.266654403245163.733345596755
216212197.27522004971314.7247799502867
217399291.947871914499107.052128085501
218229303.505234739311-74.5052347393111
219224265.651627664202-41.651627664202
220203254.678632529645-51.678632529645
221333252.70010010615280.2998998938475
222384406.814382518667-22.8143825186667
223636497.58494575715138.41505424285
224185244.594457135211-59.5944571352113
22593120.817826111266-27.8178261112664
226581603.320878323314-22.3208783233138
227248340.365369940176-92.3653699401758
228304269.95483085079234.0451691492077
229344318.8574389081125.1425610918898
230407286.952366544429120.047633455571
231170142.68671430260727.3132856973933
232312346.782888101165-34.7828881011648
233507346.4409009234160.5590990766
234224226.940428761129-2.94042876112868
235340286.53115905150853.4688409484924
236168245.040305330566-77.0403053305659
237443483.69803520158-40.6980352015802
238204188.95101015509615.0489898449041
239367330.97292447381936.0270755261806
240210170.45207960798739.547920392013
241335339.46756536789-4.46756536789034
242364528.107290402211-164.107290402211
243178253.107702287456-75.1077022874558
244206217.176297944164-11.1762979441636
245279288.201150027953-9.20115002795286
246387307.18837678442179.8116232155792
247490446.32766922460243.6723307753984
248238303.657673031319-65.6576730313186
249343358.534018297343-15.5340182973433
250232168.5353134720663.4646865279398
251530567.690445112755-37.6904451127551
252291387.011806571274-96.0118065712741
25367141.256587724621-74.2565877246208
254397397.509174772144-0.509174772144039
255467305.66437585121161.33562414879
256178151.0601524337526.9398475662504
257175163.70813675355811.2918632464418
258299349.8736266575-50.8736266575002
259154244.766475533617-90.7664755336169
260106183.783522118081-77.7835221180807
261189139.90686307614449.0931369238557
262194357.189271883486-163.189271883486
263135162.798995311339-27.7989953113393
264201229.897666619064-28.8976666190636
265207205.4344843751351.56551562486466
266280315.549156997044-35.5491569970437
267260271.263517332946-11.2635173329463
268227278.603989832354-51.6039898323544
269239405.562137803102-166.562137803102
270333308.31885291707724.6811470829231
271428416.76555162785911.2344483721414
272230262.359324875426-32.3593248754265
273292253.66120224757338.3387977524266
274350429.468218602754-79.4682186027544
275186248.800796620144-62.8007966201441
276326313.59542328410312.4045767158969
277155210.618452207156-55.6184522071559
27875145.7958747141-70.7958747141
279361346.68713025699214.3128697430078
280261284.769956326821-23.7699563268209
281299299.632595457827-0.63259545782699
282300306.062445316468-6.06244531646777
283450354.57075609990795.4292439000927
284183206.380261642206-23.380261642206
285238223.66812069242914.3318793075708
286165174.289262428595-9.2892624285949
287234229.3695353538494.63046464615095
288176262.376640788461-86.376640788461
289329254.91043487836774.0895651216331







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.9995014138781760.0009971722436474270.000498586121823713
110.9988882099765330.002223580046933720.00111179002346686
120.9987091721905010.002581655618997430.00129082780949872
130.9972646388862750.005470722227449880.00273536111372494
140.9956484480399640.008703103920072240.00435155196003612
150.9925175056036670.01496498879266580.0074824943963329
160.9888064722978340.02238705540433250.0111935277021662
170.9931216174310960.01375676513780790.00687838256890396
180.9916267910481070.01674641790378550.00837320895189275
190.9895352922265950.02092941554681030.0104647077734052
200.9836600886894730.03267982262105360.0163399113105268
210.9770951097467220.04580978050655610.022904890253278
220.9693152717921760.06136945641564760.0306847282078238
230.9800166343173630.03996673136527370.0199833656826369
240.9724649861340680.05507002773186430.0275350138659322
250.9650125913027660.06997481739446710.0349874086972336
260.963917357813430.07216528437314070.0360826421865703
270.9664094203153790.06718115936924170.0335905796846208
280.9560006283180330.0879987433639330.0439993716819665
290.9748973584868520.05020528302629690.0251026415131485
300.977427501325610.04514499734878080.0225724986743904
310.9725050376092660.05498992478146740.0274949623907337
320.9639462060296760.07210758794064740.0360537939703237
330.9543880611234150.09122387775317040.0456119388765852
340.9540427484988960.09191450300220780.0459572515011039
350.9501011407692390.09979771846152140.0498988592307607
360.9410291830470720.1179416339058560.0589708169529278
370.9332447255690210.1335105488619580.0667552744309791
380.9564016527047020.08719669459059640.0435983472952982
390.9502991814760150.09940163704796920.0497008185239846
400.9405833968087590.1188332063824820.0594166031912411
410.9283202615344780.1433594769310430.0716797384655216
420.9150784187518980.1698431624962050.0849215812481023
430.9133929973715960.1732140052568080.0866070026284039
440.9012981097141720.1974037805716570.0987018902858284
450.9902497374686810.01950052506263780.0097502625313189
460.9874802400265590.0250395199468830.0125197599734415
470.9888174125364210.02236517492715780.0111825874635789
480.9854652026197150.02906959476056950.0145347973802847
490.9813973196903580.03720536061928440.0186026803096422
500.9999934263591931.31472816130843e-056.57364080654214e-06
510.9999987036757422.59264851614839e-061.2963242580742e-06
520.9999980620299443.87594011178314e-061.93797005589157e-06
530.9999970405007635.91899847359516e-062.95949923679758e-06
540.9999985196766372.96064672695228e-061.48032336347614e-06
550.9999996606825566.78634888957171e-073.39317444478586e-07
560.9999996177511437.64497714071755e-073.82248857035877e-07
570.999999518674019.62651978943109e-074.81325989471555e-07
580.9999999993925631.21487312260248e-096.07436561301238e-10
590.9999999989298042.14039279490924e-091.07019639745462e-09
600.9999999981304783.73904384797412e-091.86952192398706e-09
610.9999999979545744.09085246711442e-092.04542623355721e-09
620.9999999991878141.62437234518552e-098.12186172592759e-10
630.9999999985294172.941166016032e-091.470583008016e-09
640.9999999973811815.23763773535247e-092.61881886767623e-09
650.999999997439845.120319448545e-092.5601597242725e-09
660.9999999964746977.05060595645928e-093.52530297822964e-09
670.9999999947911441.04177122521364e-085.20885612606822e-09
680.9999999916052621.67894764998278e-088.39473824991388e-09
690.9999999857839642.84320725078792e-081.42160362539396e-08
700.9999999984125733.17485332223185e-091.58742666111592e-09
710.9999999976821994.63560224388501e-092.31780112194251e-09
720.9999999967774366.44512754435515e-093.22256377217758e-09
730.9999999987382212.52355767583076e-091.26177883791538e-09
740.99999999814793.70420057459309e-091.85210028729654e-09
750.9999999969240846.15183254979512e-093.07591627489756e-09
760.9999999948432851.0313429248501e-085.15671462425049e-09
770.9999999929925771.40148466052416e-087.00742330262082e-09
780.9999999890159852.19680293207652e-081.09840146603826e-08
790.9999999886355222.2728956843159e-081.13644784215795e-08
800.9999999813946163.72107679768566e-081.86053839884283e-08
810.9999999705086385.89827239327051e-082.94913619663525e-08
820.9999999546642879.06714265429552e-084.53357132714776e-08
830.999999944371941.11256119561521e-075.56280597807607e-08
840.9999999097569071.80486185973524e-079.02430929867619e-08
850.9999999459919311.08016138768212e-075.40080693841059e-08
860.9999999185690611.62861877125563e-078.14309385627817e-08
870.9999998781153612.43769278662617e-071.21884639331308e-07
880.9999998750405932.49918814802248e-071.24959407401124e-07
890.9999998584343592.83131282646687e-071.41565641323344e-07
900.9999999132214791.73557041193558e-078.67785205967791e-08
910.9999999505698049.88603916837272e-084.94301958418636e-08
920.9999999418674121.16265176634325e-075.81325883171623e-08
930.9999999734133985.31732050125276e-082.65866025062638e-08
940.9999999856542542.86914919989331e-081.43457459994665e-08
950.9999999879684892.40630219405096e-081.20315109702548e-08
960.9999999807997063.84005877432499e-081.9200293871625e-08
970.9999999688686816.22626380362415e-083.11313190181208e-08
980.9999999991117971.7764057140089e-098.88202857004452e-10
990.9999999985027262.99454748524265e-091.49727374262133e-09
1000.9999999988878882.22422420280027e-091.11211210140014e-09
1010.9999999982102323.57953611828533e-091.78976805914267e-09
1020.9999999990257661.94846831929193e-099.74234159645963e-10
1030.9999999984251333.14973469687435e-091.57486734843717e-09
1040.9999999975343294.93134119497676e-092.46567059748838e-09
1050.9999999978749294.25014151496105e-092.12507075748052e-09
1060.9999999984327013.134597097711e-091.5672985488555e-09
1070.9999999973887415.22251724155501e-092.61125862077751e-09
1080.9999999956753858.6492304580416e-094.3246152290208e-09
1090.9999999939366751.21266500070864e-086.06332500354319e-09
1100.9999999914243821.71512362192033e-088.57561810960164e-09
1110.999999987949552.41009005095389e-081.20504502547694e-08
1120.9999999818571333.62857342368028e-081.81428671184014e-08
1130.9999999712211015.75577974707099e-082.8778898735355e-08
1140.9999999535275259.29449494026846e-084.64724747013423e-08
1150.9999999275056561.44988688644709e-077.24943443223543e-08
1160.9999999734663395.30673228008036e-082.65336614004018e-08
1170.9999999594235728.11528558445348e-084.05764279222674e-08
1180.9999999439676581.12064684967236e-075.60323424836182e-08
1190.999999915727851.68544299571855e-078.42721497859276e-08
1200.9999998741597862.51680427923169e-071.25840213961585e-07
1210.9999998019473113.96105377585781e-071.98052688792891e-07
1220.9999998709346792.5813064164464e-071.2906532082232e-07
1230.9999998042055843.91588832474624e-071.95794416237312e-07
1240.9999997119611665.76077667824828e-072.88038833912414e-07
1250.9999999241106191.51778762675869e-077.58893813379344e-08
1260.9999999187165411.6256691765354e-078.12834588267699e-08
1270.9999998858164542.28367091202125e-071.14183545601063e-07
1280.9999998626404622.74719075131626e-071.37359537565813e-07
1290.9999999256103011.48779397458951e-077.43896987294757e-08
1300.999999882257122.35485759954488e-071.17742879977244e-07
1310.9999998147246153.70550769490341e-071.8527538474517e-07
1320.9999997548654954.90269010829016e-072.45134505414508e-07
1330.9999996977433486.0451330433969e-073.02256652169845e-07
1340.9999998928418862.14316228919742e-071.07158114459871e-07
1350.9999998445551843.10889632492786e-071.55444816246393e-07
1360.9999997687093754.62581249535749e-072.31290624767875e-07
1370.9999996410045977.17990805738379e-073.58995402869189e-07
1380.99999947304781.05390440047724e-065.26952200238621e-07
1390.9999992684219221.4631561564312e-067.31578078215601e-07
1400.9999989407902752.11841944981167e-061.05920972490584e-06
1410.9999986903675312.61926493830147e-061.30963246915074e-06
1420.9999980255899163.94882016829826e-061.97441008414913e-06
1430.9999970398138785.92037224364953e-062.96018612182476e-06
1440.9999962765321167.4469357672521e-063.72346788362605e-06
1450.9999952218053389.55638932370996e-064.77819466185498e-06
1460.9999938030689731.23938620530449e-056.19693102652245e-06
1470.9999936775700381.26448599236444e-056.32242996182219e-06
1480.9999927452876881.45094246240293e-057.25471231201464e-06
1490.9999907338628561.8532274288773e-059.26613714438652e-06
1500.9999864047476772.71905046455404e-051.35952523227702e-05
1510.9999806571776913.8685644617489e-051.93428223087445e-05
1520.999977588932654.48221346996678e-052.24110673498339e-05
1530.9999718394607625.63210784761476e-052.81605392380738e-05
1540.9999820407282493.59185435026774e-051.79592717513387e-05
1550.9999877022529532.45954940931103e-051.22977470465551e-05
1560.9999884867362142.30265275724804e-051.15132637862402e-05
1570.9999866992337762.6601532448595e-051.33007662242975e-05
1580.9999825801950083.48396099835523e-051.74198049917762e-05
1590.9999795017586624.09964826769409e-052.04982413384705e-05
1600.9999879821622092.40356755829664e-051.20178377914832e-05
1610.9999855054169752.89891660508837e-051.44945830254418e-05
1620.9999800100526593.99798946825927e-051.99899473412963e-05
1630.999971606947995.67861040203282e-052.83930520101641e-05
1640.9999991971301651.60573966953574e-068.02869834767868e-07
1650.9999993374375851.32512482984779e-066.62562414923895e-07
1660.99999962268127.54637599764957e-073.77318799882478e-07
1670.999999429681681.14063664078783e-065.70318320393913e-07
1680.9999991195253421.7609493163876e-068.80474658193798e-07
1690.9999996356157647.28768471755095e-073.64384235877548e-07
1700.9999997999291164.00141767316852e-072.00070883658426e-07
1710.9999999973899395.22012092516017e-092.61006046258008e-09
1720.9999999969289796.1420414023792e-093.0710207011896e-09
1730.999999998540642.91872022783718e-091.45936011391859e-09
1740.9999999987390962.5218086885181e-091.26090434425905e-09
1750.9999999978425114.31497709153161e-092.15748854576581e-09
1760.9999999996808066.38387978849087e-103.19193989424544e-10
1770.9999999999760264.79480788433677e-112.39740394216839e-11
1780.9999999999550958.98100442835504e-114.49050221417752e-11
1790.9999999999666926.66170384467231e-113.33085192233616e-11
1800.9999999999627517.44977902907651e-113.72488951453825e-11
1810.9999999999430271.13945541774487e-105.69727708872437e-11
1820.9999999999575788.48435407887114e-114.24217703943557e-11
1830.9999999999222391.55522202026288e-107.77611010131438e-11
1840.9999999998542712.91457313900386e-101.45728656950193e-10
1850.9999999998009193.9816275034187e-101.99081375170935e-10
1860.9999999996335917.32818460321685e-103.66409230160843e-10
1870.999999999532999.34019547405848e-104.67009773702924e-10
1880.9999999991845291.6309416861018e-098.15470843050901e-10
1890.9999999989739292.05214193235992e-091.02607096617996e-09
1900.999999998946612.10677999048307e-091.05338999524154e-09
1910.9999999985531092.89378192481517e-091.44689096240759e-09
1920.9999999993018951.39621051098227e-096.98105255491136e-10
1930.9999999987278932.54421406601332e-091.27210703300666e-09
1940.9999999998125963.74808682447282e-101.87404341223641e-10
1950.9999999996895276.20945019740514e-103.10472509870257e-10
1960.9999999994436221.11275549692555e-095.56377748462777e-10
1970.999999999697786.04440627301957e-103.02220313650979e-10
1980.9999999994313171.13736666065481e-095.68683330327405e-10
1990.9999999999601527.96963701423783e-113.98481850711891e-11
2000.999999999922991.54020730834645e-107.70103654173227e-11
2010.9999999998906212.18758223849324e-101.09379111924662e-10
2020.9999999998371263.25747098311647e-101.62873549155823e-10
2030.9999999996883886.23223585236573e-103.11611792618286e-10
2040.9999999994598111.08037736134769e-095.40188680673846e-10
2050.9999999996977326.04535511892301e-103.0226775594615e-10
2060.9999999994139681.17206371819879e-095.86031859099393e-10
2070.9999999988804222.23915515783374e-091.11957757891687e-09
2080.9999999983840933.23181341061208e-091.61590670530604e-09
2090.9999999969504326.09913582966882e-093.04956791483441e-09
2100.9999999956560838.68783367770232e-094.34391683885116e-09
2110.9999999918037571.6392485963082e-088.19624298154101e-09
2120.9999999868171072.63657852047963e-081.31828926023982e-08
2130.9999999788424184.23151646960034e-082.11575823480017e-08
2140.9999999627540667.44918683271801e-083.72459341635901e-08
2150.9999999838335223.23329552190381e-081.61664776095191e-08
2160.9999999695372716.09254576399403e-083.04627288199702e-08
2170.9999999788931864.22136271777216e-082.11068135888608e-08
2180.9999999794986564.10026888105471e-082.05013444052736e-08
2190.9999999688846916.22306172572307e-083.11153086286154e-08
2200.9999999482890411.03421918326037e-075.17109591630183e-08
2210.9999999502489659.95020704862873e-084.97510352431437e-08
2220.9999999273449961.45310008854272e-077.26550044271361e-08
2230.9999999674674716.50650582090796e-083.25325291045398e-08
2240.9999999539483989.21032037242961e-084.60516018621481e-08
2250.9999999287525441.424949114835e-077.12474557417501e-08
2260.9999998730683492.53863301091962e-071.26931650545981e-07
2270.9999998183451273.63309746659148e-071.81654873329574e-07
2280.9999997052238195.89552362453252e-072.94776181226626e-07
2290.9999995259377379.48124525952137e-074.74062262976069e-07
2300.9999997266165515.46766898101243e-072.73383449050621e-07
2310.9999994797869951.04042601072994e-065.20213005364969e-07
2320.9999990272337481.94553250348022e-069.72766251740108e-07
2330.9999999389053631.22189273265338e-076.1094636632669e-08
2340.9999998783320812.43335838435653e-071.21667919217827e-07
2350.9999998547098022.90580396237535e-071.45290198118768e-07
2360.9999997541041484.91791704713445e-072.45895852356722e-07
2370.9999995258621319.48275738838982e-074.74137869419491e-07
2380.9999990870026951.82599460971904e-069.12997304859521e-07
2390.9999986369013962.72619720792263e-061.36309860396131e-06
2400.999997895362134.20927574017739e-062.1046378700887e-06
2410.9999959870178378.02596432508096e-064.01298216254048e-06
2420.9999976315560714.73688785735105e-062.36844392867552e-06
2430.9999966322573686.73548526403675e-063.36774263201838e-06
2440.9999937646422621.24707154763333e-056.23535773816665e-06
2450.9999883361487222.33277025564897e-051.16638512782449e-05
2460.9999895889746852.08220506290944e-051.04110253145472e-05
2470.9999907228133241.85543733523367e-059.27718667616836e-06
2480.9999882807341142.34385317725225e-051.17192658862612e-05
2490.9999778261388324.43477223362759e-052.21738611681379e-05
2500.9999755172560774.89654878469223e-052.44827439234611e-05
2510.9999526266847499.47466305013697e-054.73733152506849e-05
2520.999924094494820.0001518110103596917.59055051798454e-05
2530.999874289160790.0002514216784200980.000125710839210049
2540.9997643813724580.0004712372550844720.000235618627542236
2550.9999762515539734.74968920545874e-052.37484460272937e-05
2560.9999605416614187.8916677163765e-053.94583385818825e-05
2570.9999357637975520.0001284724048952646.42362024476321e-05
2580.9998712632663780.0002574734672434820.000128736733621741
2590.999900586167940.0001988276641207159.94138320603577e-05
2600.9998519956474830.0002960087050333330.000148004352516667
2610.9997284908009690.0005430183980618220.000271509199030911
2620.9999186534048860.0001626931902278678.13465951139337e-05
2630.9998179166655040.000364166668992160.00018208333449608
2640.9996026036298650.0007947927402697540.000397396370134877
2650.9992341814538080.00153163709238330.000765818546191648
2660.9984579636573830.003084072685233370.00154203634261669
2670.9971016417217120.005796716556576190.0028983582782881
2680.9942845154488620.01143096910227630.00571548455113813
2690.9994615016817950.001076996636409180.000538498318204588
2700.9997432135225620.0005135729548759550.000256786477437978
2710.9995107806436930.0009784387126134830.000489219356306742
2720.9986673949681970.002665210063605070.00133260503180253
2730.9992602955131810.001479408973638870.000739704486819436
2740.9979414940148370.004117011970325930.00205850598516296
2750.9966482458759350.00670350824812920.0033517541240646
2760.9900381251981890.01992374960362240.00996187480181121
2770.9926693622280970.01466127554380580.0073306377719029
2780.9762946374171320.04741072516573520.0237053625828676
2790.9274642838999220.1450714322001570.0725357161000783

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
10 & 0.999501413878176 & 0.000997172243647427 & 0.000498586121823713 \tabularnewline
11 & 0.998888209976533 & 0.00222358004693372 & 0.00111179002346686 \tabularnewline
12 & 0.998709172190501 & 0.00258165561899743 & 0.00129082780949872 \tabularnewline
13 & 0.997264638886275 & 0.00547072222744988 & 0.00273536111372494 \tabularnewline
14 & 0.995648448039964 & 0.00870310392007224 & 0.00435155196003612 \tabularnewline
15 & 0.992517505603667 & 0.0149649887926658 & 0.0074824943963329 \tabularnewline
16 & 0.988806472297834 & 0.0223870554043325 & 0.0111935277021662 \tabularnewline
17 & 0.993121617431096 & 0.0137567651378079 & 0.00687838256890396 \tabularnewline
18 & 0.991626791048107 & 0.0167464179037855 & 0.00837320895189275 \tabularnewline
19 & 0.989535292226595 & 0.0209294155468103 & 0.0104647077734052 \tabularnewline
20 & 0.983660088689473 & 0.0326798226210536 & 0.0163399113105268 \tabularnewline
21 & 0.977095109746722 & 0.0458097805065561 & 0.022904890253278 \tabularnewline
22 & 0.969315271792176 & 0.0613694564156476 & 0.0306847282078238 \tabularnewline
23 & 0.980016634317363 & 0.0399667313652737 & 0.0199833656826369 \tabularnewline
24 & 0.972464986134068 & 0.0550700277318643 & 0.0275350138659322 \tabularnewline
25 & 0.965012591302766 & 0.0699748173944671 & 0.0349874086972336 \tabularnewline
26 & 0.96391735781343 & 0.0721652843731407 & 0.0360826421865703 \tabularnewline
27 & 0.966409420315379 & 0.0671811593692417 & 0.0335905796846208 \tabularnewline
28 & 0.956000628318033 & 0.087998743363933 & 0.0439993716819665 \tabularnewline
29 & 0.974897358486852 & 0.0502052830262969 & 0.0251026415131485 \tabularnewline
30 & 0.97742750132561 & 0.0451449973487808 & 0.0225724986743904 \tabularnewline
31 & 0.972505037609266 & 0.0549899247814674 & 0.0274949623907337 \tabularnewline
32 & 0.963946206029676 & 0.0721075879406474 & 0.0360537939703237 \tabularnewline
33 & 0.954388061123415 & 0.0912238777531704 & 0.0456119388765852 \tabularnewline
34 & 0.954042748498896 & 0.0919145030022078 & 0.0459572515011039 \tabularnewline
35 & 0.950101140769239 & 0.0997977184615214 & 0.0498988592307607 \tabularnewline
36 & 0.941029183047072 & 0.117941633905856 & 0.0589708169529278 \tabularnewline
37 & 0.933244725569021 & 0.133510548861958 & 0.0667552744309791 \tabularnewline
38 & 0.956401652704702 & 0.0871966945905964 & 0.0435983472952982 \tabularnewline
39 & 0.950299181476015 & 0.0994016370479692 & 0.0497008185239846 \tabularnewline
40 & 0.940583396808759 & 0.118833206382482 & 0.0594166031912411 \tabularnewline
41 & 0.928320261534478 & 0.143359476931043 & 0.0716797384655216 \tabularnewline
42 & 0.915078418751898 & 0.169843162496205 & 0.0849215812481023 \tabularnewline
43 & 0.913392997371596 & 0.173214005256808 & 0.0866070026284039 \tabularnewline
44 & 0.901298109714172 & 0.197403780571657 & 0.0987018902858284 \tabularnewline
45 & 0.990249737468681 & 0.0195005250626378 & 0.0097502625313189 \tabularnewline
46 & 0.987480240026559 & 0.025039519946883 & 0.0125197599734415 \tabularnewline
47 & 0.988817412536421 & 0.0223651749271578 & 0.0111825874635789 \tabularnewline
48 & 0.985465202619715 & 0.0290695947605695 & 0.0145347973802847 \tabularnewline
49 & 0.981397319690358 & 0.0372053606192844 & 0.0186026803096422 \tabularnewline
50 & 0.999993426359193 & 1.31472816130843e-05 & 6.57364080654214e-06 \tabularnewline
51 & 0.999998703675742 & 2.59264851614839e-06 & 1.2963242580742e-06 \tabularnewline
52 & 0.999998062029944 & 3.87594011178314e-06 & 1.93797005589157e-06 \tabularnewline
53 & 0.999997040500763 & 5.91899847359516e-06 & 2.95949923679758e-06 \tabularnewline
54 & 0.999998519676637 & 2.96064672695228e-06 & 1.48032336347614e-06 \tabularnewline
55 & 0.999999660682556 & 6.78634888957171e-07 & 3.39317444478586e-07 \tabularnewline
56 & 0.999999617751143 & 7.64497714071755e-07 & 3.82248857035877e-07 \tabularnewline
57 & 0.99999951867401 & 9.62651978943109e-07 & 4.81325989471555e-07 \tabularnewline
58 & 0.999999999392563 & 1.21487312260248e-09 & 6.07436561301238e-10 \tabularnewline
59 & 0.999999998929804 & 2.14039279490924e-09 & 1.07019639745462e-09 \tabularnewline
60 & 0.999999998130478 & 3.73904384797412e-09 & 1.86952192398706e-09 \tabularnewline
61 & 0.999999997954574 & 4.09085246711442e-09 & 2.04542623355721e-09 \tabularnewline
62 & 0.999999999187814 & 1.62437234518552e-09 & 8.12186172592759e-10 \tabularnewline
63 & 0.999999998529417 & 2.941166016032e-09 & 1.470583008016e-09 \tabularnewline
64 & 0.999999997381181 & 5.23763773535247e-09 & 2.61881886767623e-09 \tabularnewline
65 & 0.99999999743984 & 5.120319448545e-09 & 2.5601597242725e-09 \tabularnewline
66 & 0.999999996474697 & 7.05060595645928e-09 & 3.52530297822964e-09 \tabularnewline
67 & 0.999999994791144 & 1.04177122521364e-08 & 5.20885612606822e-09 \tabularnewline
68 & 0.999999991605262 & 1.67894764998278e-08 & 8.39473824991388e-09 \tabularnewline
69 & 0.999999985783964 & 2.84320725078792e-08 & 1.42160362539396e-08 \tabularnewline
70 & 0.999999998412573 & 3.17485332223185e-09 & 1.58742666111592e-09 \tabularnewline
71 & 0.999999997682199 & 4.63560224388501e-09 & 2.31780112194251e-09 \tabularnewline
72 & 0.999999996777436 & 6.44512754435515e-09 & 3.22256377217758e-09 \tabularnewline
73 & 0.999999998738221 & 2.52355767583076e-09 & 1.26177883791538e-09 \tabularnewline
74 & 0.9999999981479 & 3.70420057459309e-09 & 1.85210028729654e-09 \tabularnewline
75 & 0.999999996924084 & 6.15183254979512e-09 & 3.07591627489756e-09 \tabularnewline
76 & 0.999999994843285 & 1.0313429248501e-08 & 5.15671462425049e-09 \tabularnewline
77 & 0.999999992992577 & 1.40148466052416e-08 & 7.00742330262082e-09 \tabularnewline
78 & 0.999999989015985 & 2.19680293207652e-08 & 1.09840146603826e-08 \tabularnewline
79 & 0.999999988635522 & 2.2728956843159e-08 & 1.13644784215795e-08 \tabularnewline
80 & 0.999999981394616 & 3.72107679768566e-08 & 1.86053839884283e-08 \tabularnewline
81 & 0.999999970508638 & 5.89827239327051e-08 & 2.94913619663525e-08 \tabularnewline
82 & 0.999999954664287 & 9.06714265429552e-08 & 4.53357132714776e-08 \tabularnewline
83 & 0.99999994437194 & 1.11256119561521e-07 & 5.56280597807607e-08 \tabularnewline
84 & 0.999999909756907 & 1.80486185973524e-07 & 9.02430929867619e-08 \tabularnewline
85 & 0.999999945991931 & 1.08016138768212e-07 & 5.40080693841059e-08 \tabularnewline
86 & 0.999999918569061 & 1.62861877125563e-07 & 8.14309385627817e-08 \tabularnewline
87 & 0.999999878115361 & 2.43769278662617e-07 & 1.21884639331308e-07 \tabularnewline
88 & 0.999999875040593 & 2.49918814802248e-07 & 1.24959407401124e-07 \tabularnewline
89 & 0.999999858434359 & 2.83131282646687e-07 & 1.41565641323344e-07 \tabularnewline
90 & 0.999999913221479 & 1.73557041193558e-07 & 8.67785205967791e-08 \tabularnewline
91 & 0.999999950569804 & 9.88603916837272e-08 & 4.94301958418636e-08 \tabularnewline
92 & 0.999999941867412 & 1.16265176634325e-07 & 5.81325883171623e-08 \tabularnewline
93 & 0.999999973413398 & 5.31732050125276e-08 & 2.65866025062638e-08 \tabularnewline
94 & 0.999999985654254 & 2.86914919989331e-08 & 1.43457459994665e-08 \tabularnewline
95 & 0.999999987968489 & 2.40630219405096e-08 & 1.20315109702548e-08 \tabularnewline
96 & 0.999999980799706 & 3.84005877432499e-08 & 1.9200293871625e-08 \tabularnewline
97 & 0.999999968868681 & 6.22626380362415e-08 & 3.11313190181208e-08 \tabularnewline
98 & 0.999999999111797 & 1.7764057140089e-09 & 8.88202857004452e-10 \tabularnewline
99 & 0.999999998502726 & 2.99454748524265e-09 & 1.49727374262133e-09 \tabularnewline
100 & 0.999999998887888 & 2.22422420280027e-09 & 1.11211210140014e-09 \tabularnewline
101 & 0.999999998210232 & 3.57953611828533e-09 & 1.78976805914267e-09 \tabularnewline
102 & 0.999999999025766 & 1.94846831929193e-09 & 9.74234159645963e-10 \tabularnewline
103 & 0.999999998425133 & 3.14973469687435e-09 & 1.57486734843717e-09 \tabularnewline
104 & 0.999999997534329 & 4.93134119497676e-09 & 2.46567059748838e-09 \tabularnewline
105 & 0.999999997874929 & 4.25014151496105e-09 & 2.12507075748052e-09 \tabularnewline
106 & 0.999999998432701 & 3.134597097711e-09 & 1.5672985488555e-09 \tabularnewline
107 & 0.999999997388741 & 5.22251724155501e-09 & 2.61125862077751e-09 \tabularnewline
108 & 0.999999995675385 & 8.6492304580416e-09 & 4.3246152290208e-09 \tabularnewline
109 & 0.999999993936675 & 1.21266500070864e-08 & 6.06332500354319e-09 \tabularnewline
110 & 0.999999991424382 & 1.71512362192033e-08 & 8.57561810960164e-09 \tabularnewline
111 & 0.99999998794955 & 2.41009005095389e-08 & 1.20504502547694e-08 \tabularnewline
112 & 0.999999981857133 & 3.62857342368028e-08 & 1.81428671184014e-08 \tabularnewline
113 & 0.999999971221101 & 5.75577974707099e-08 & 2.8778898735355e-08 \tabularnewline
114 & 0.999999953527525 & 9.29449494026846e-08 & 4.64724747013423e-08 \tabularnewline
115 & 0.999999927505656 & 1.44988688644709e-07 & 7.24943443223543e-08 \tabularnewline
116 & 0.999999973466339 & 5.30673228008036e-08 & 2.65336614004018e-08 \tabularnewline
117 & 0.999999959423572 & 8.11528558445348e-08 & 4.05764279222674e-08 \tabularnewline
118 & 0.999999943967658 & 1.12064684967236e-07 & 5.60323424836182e-08 \tabularnewline
119 & 0.99999991572785 & 1.68544299571855e-07 & 8.42721497859276e-08 \tabularnewline
120 & 0.999999874159786 & 2.51680427923169e-07 & 1.25840213961585e-07 \tabularnewline
121 & 0.999999801947311 & 3.96105377585781e-07 & 1.98052688792891e-07 \tabularnewline
122 & 0.999999870934679 & 2.5813064164464e-07 & 1.2906532082232e-07 \tabularnewline
123 & 0.999999804205584 & 3.91588832474624e-07 & 1.95794416237312e-07 \tabularnewline
124 & 0.999999711961166 & 5.76077667824828e-07 & 2.88038833912414e-07 \tabularnewline
125 & 0.999999924110619 & 1.51778762675869e-07 & 7.58893813379344e-08 \tabularnewline
126 & 0.999999918716541 & 1.6256691765354e-07 & 8.12834588267699e-08 \tabularnewline
127 & 0.999999885816454 & 2.28367091202125e-07 & 1.14183545601063e-07 \tabularnewline
128 & 0.999999862640462 & 2.74719075131626e-07 & 1.37359537565813e-07 \tabularnewline
129 & 0.999999925610301 & 1.48779397458951e-07 & 7.43896987294757e-08 \tabularnewline
130 & 0.99999988225712 & 2.35485759954488e-07 & 1.17742879977244e-07 \tabularnewline
131 & 0.999999814724615 & 3.70550769490341e-07 & 1.8527538474517e-07 \tabularnewline
132 & 0.999999754865495 & 4.90269010829016e-07 & 2.45134505414508e-07 \tabularnewline
133 & 0.999999697743348 & 6.0451330433969e-07 & 3.02256652169845e-07 \tabularnewline
134 & 0.999999892841886 & 2.14316228919742e-07 & 1.07158114459871e-07 \tabularnewline
135 & 0.999999844555184 & 3.10889632492786e-07 & 1.55444816246393e-07 \tabularnewline
136 & 0.999999768709375 & 4.62581249535749e-07 & 2.31290624767875e-07 \tabularnewline
137 & 0.999999641004597 & 7.17990805738379e-07 & 3.58995402869189e-07 \tabularnewline
138 & 0.9999994730478 & 1.05390440047724e-06 & 5.26952200238621e-07 \tabularnewline
139 & 0.999999268421922 & 1.4631561564312e-06 & 7.31578078215601e-07 \tabularnewline
140 & 0.999998940790275 & 2.11841944981167e-06 & 1.05920972490584e-06 \tabularnewline
141 & 0.999998690367531 & 2.61926493830147e-06 & 1.30963246915074e-06 \tabularnewline
142 & 0.999998025589916 & 3.94882016829826e-06 & 1.97441008414913e-06 \tabularnewline
143 & 0.999997039813878 & 5.92037224364953e-06 & 2.96018612182476e-06 \tabularnewline
144 & 0.999996276532116 & 7.4469357672521e-06 & 3.72346788362605e-06 \tabularnewline
145 & 0.999995221805338 & 9.55638932370996e-06 & 4.77819466185498e-06 \tabularnewline
146 & 0.999993803068973 & 1.23938620530449e-05 & 6.19693102652245e-06 \tabularnewline
147 & 0.999993677570038 & 1.26448599236444e-05 & 6.32242996182219e-06 \tabularnewline
148 & 0.999992745287688 & 1.45094246240293e-05 & 7.25471231201464e-06 \tabularnewline
149 & 0.999990733862856 & 1.8532274288773e-05 & 9.26613714438652e-06 \tabularnewline
150 & 0.999986404747677 & 2.71905046455404e-05 & 1.35952523227702e-05 \tabularnewline
151 & 0.999980657177691 & 3.8685644617489e-05 & 1.93428223087445e-05 \tabularnewline
152 & 0.99997758893265 & 4.48221346996678e-05 & 2.24110673498339e-05 \tabularnewline
153 & 0.999971839460762 & 5.63210784761476e-05 & 2.81605392380738e-05 \tabularnewline
154 & 0.999982040728249 & 3.59185435026774e-05 & 1.79592717513387e-05 \tabularnewline
155 & 0.999987702252953 & 2.45954940931103e-05 & 1.22977470465551e-05 \tabularnewline
156 & 0.999988486736214 & 2.30265275724804e-05 & 1.15132637862402e-05 \tabularnewline
157 & 0.999986699233776 & 2.6601532448595e-05 & 1.33007662242975e-05 \tabularnewline
158 & 0.999982580195008 & 3.48396099835523e-05 & 1.74198049917762e-05 \tabularnewline
159 & 0.999979501758662 & 4.09964826769409e-05 & 2.04982413384705e-05 \tabularnewline
160 & 0.999987982162209 & 2.40356755829664e-05 & 1.20178377914832e-05 \tabularnewline
161 & 0.999985505416975 & 2.89891660508837e-05 & 1.44945830254418e-05 \tabularnewline
162 & 0.999980010052659 & 3.99798946825927e-05 & 1.99899473412963e-05 \tabularnewline
163 & 0.99997160694799 & 5.67861040203282e-05 & 2.83930520101641e-05 \tabularnewline
164 & 0.999999197130165 & 1.60573966953574e-06 & 8.02869834767868e-07 \tabularnewline
165 & 0.999999337437585 & 1.32512482984779e-06 & 6.62562414923895e-07 \tabularnewline
166 & 0.9999996226812 & 7.54637599764957e-07 & 3.77318799882478e-07 \tabularnewline
167 & 0.99999942968168 & 1.14063664078783e-06 & 5.70318320393913e-07 \tabularnewline
168 & 0.999999119525342 & 1.7609493163876e-06 & 8.80474658193798e-07 \tabularnewline
169 & 0.999999635615764 & 7.28768471755095e-07 & 3.64384235877548e-07 \tabularnewline
170 & 0.999999799929116 & 4.00141767316852e-07 & 2.00070883658426e-07 \tabularnewline
171 & 0.999999997389939 & 5.22012092516017e-09 & 2.61006046258008e-09 \tabularnewline
172 & 0.999999996928979 & 6.1420414023792e-09 & 3.0710207011896e-09 \tabularnewline
173 & 0.99999999854064 & 2.91872022783718e-09 & 1.45936011391859e-09 \tabularnewline
174 & 0.999999998739096 & 2.5218086885181e-09 & 1.26090434425905e-09 \tabularnewline
175 & 0.999999997842511 & 4.31497709153161e-09 & 2.15748854576581e-09 \tabularnewline
176 & 0.999999999680806 & 6.38387978849087e-10 & 3.19193989424544e-10 \tabularnewline
177 & 0.999999999976026 & 4.79480788433677e-11 & 2.39740394216839e-11 \tabularnewline
178 & 0.999999999955095 & 8.98100442835504e-11 & 4.49050221417752e-11 \tabularnewline
179 & 0.999999999966692 & 6.66170384467231e-11 & 3.33085192233616e-11 \tabularnewline
180 & 0.999999999962751 & 7.44977902907651e-11 & 3.72488951453825e-11 \tabularnewline
181 & 0.999999999943027 & 1.13945541774487e-10 & 5.69727708872437e-11 \tabularnewline
182 & 0.999999999957578 & 8.48435407887114e-11 & 4.24217703943557e-11 \tabularnewline
183 & 0.999999999922239 & 1.55522202026288e-10 & 7.77611010131438e-11 \tabularnewline
184 & 0.999999999854271 & 2.91457313900386e-10 & 1.45728656950193e-10 \tabularnewline
185 & 0.999999999800919 & 3.9816275034187e-10 & 1.99081375170935e-10 \tabularnewline
186 & 0.999999999633591 & 7.32818460321685e-10 & 3.66409230160843e-10 \tabularnewline
187 & 0.99999999953299 & 9.34019547405848e-10 & 4.67009773702924e-10 \tabularnewline
188 & 0.999999999184529 & 1.6309416861018e-09 & 8.15470843050901e-10 \tabularnewline
189 & 0.999999998973929 & 2.05214193235992e-09 & 1.02607096617996e-09 \tabularnewline
190 & 0.99999999894661 & 2.10677999048307e-09 & 1.05338999524154e-09 \tabularnewline
191 & 0.999999998553109 & 2.89378192481517e-09 & 1.44689096240759e-09 \tabularnewline
192 & 0.999999999301895 & 1.39621051098227e-09 & 6.98105255491136e-10 \tabularnewline
193 & 0.999999998727893 & 2.54421406601332e-09 & 1.27210703300666e-09 \tabularnewline
194 & 0.999999999812596 & 3.74808682447282e-10 & 1.87404341223641e-10 \tabularnewline
195 & 0.999999999689527 & 6.20945019740514e-10 & 3.10472509870257e-10 \tabularnewline
196 & 0.999999999443622 & 1.11275549692555e-09 & 5.56377748462777e-10 \tabularnewline
197 & 0.99999999969778 & 6.04440627301957e-10 & 3.02220313650979e-10 \tabularnewline
198 & 0.999999999431317 & 1.13736666065481e-09 & 5.68683330327405e-10 \tabularnewline
199 & 0.999999999960152 & 7.96963701423783e-11 & 3.98481850711891e-11 \tabularnewline
200 & 0.99999999992299 & 1.54020730834645e-10 & 7.70103654173227e-11 \tabularnewline
201 & 0.999999999890621 & 2.18758223849324e-10 & 1.09379111924662e-10 \tabularnewline
202 & 0.999999999837126 & 3.25747098311647e-10 & 1.62873549155823e-10 \tabularnewline
203 & 0.999999999688388 & 6.23223585236573e-10 & 3.11611792618286e-10 \tabularnewline
204 & 0.999999999459811 & 1.08037736134769e-09 & 5.40188680673846e-10 \tabularnewline
205 & 0.999999999697732 & 6.04535511892301e-10 & 3.0226775594615e-10 \tabularnewline
206 & 0.999999999413968 & 1.17206371819879e-09 & 5.86031859099393e-10 \tabularnewline
207 & 0.999999998880422 & 2.23915515783374e-09 & 1.11957757891687e-09 \tabularnewline
208 & 0.999999998384093 & 3.23181341061208e-09 & 1.61590670530604e-09 \tabularnewline
209 & 0.999999996950432 & 6.09913582966882e-09 & 3.04956791483441e-09 \tabularnewline
210 & 0.999999995656083 & 8.68783367770232e-09 & 4.34391683885116e-09 \tabularnewline
211 & 0.999999991803757 & 1.6392485963082e-08 & 8.19624298154101e-09 \tabularnewline
212 & 0.999999986817107 & 2.63657852047963e-08 & 1.31828926023982e-08 \tabularnewline
213 & 0.999999978842418 & 4.23151646960034e-08 & 2.11575823480017e-08 \tabularnewline
214 & 0.999999962754066 & 7.44918683271801e-08 & 3.72459341635901e-08 \tabularnewline
215 & 0.999999983833522 & 3.23329552190381e-08 & 1.61664776095191e-08 \tabularnewline
216 & 0.999999969537271 & 6.09254576399403e-08 & 3.04627288199702e-08 \tabularnewline
217 & 0.999999978893186 & 4.22136271777216e-08 & 2.11068135888608e-08 \tabularnewline
218 & 0.999999979498656 & 4.10026888105471e-08 & 2.05013444052736e-08 \tabularnewline
219 & 0.999999968884691 & 6.22306172572307e-08 & 3.11153086286154e-08 \tabularnewline
220 & 0.999999948289041 & 1.03421918326037e-07 & 5.17109591630183e-08 \tabularnewline
221 & 0.999999950248965 & 9.95020704862873e-08 & 4.97510352431437e-08 \tabularnewline
222 & 0.999999927344996 & 1.45310008854272e-07 & 7.26550044271361e-08 \tabularnewline
223 & 0.999999967467471 & 6.50650582090796e-08 & 3.25325291045398e-08 \tabularnewline
224 & 0.999999953948398 & 9.21032037242961e-08 & 4.60516018621481e-08 \tabularnewline
225 & 0.999999928752544 & 1.424949114835e-07 & 7.12474557417501e-08 \tabularnewline
226 & 0.999999873068349 & 2.53863301091962e-07 & 1.26931650545981e-07 \tabularnewline
227 & 0.999999818345127 & 3.63309746659148e-07 & 1.81654873329574e-07 \tabularnewline
228 & 0.999999705223819 & 5.89552362453252e-07 & 2.94776181226626e-07 \tabularnewline
229 & 0.999999525937737 & 9.48124525952137e-07 & 4.74062262976069e-07 \tabularnewline
230 & 0.999999726616551 & 5.46766898101243e-07 & 2.73383449050621e-07 \tabularnewline
231 & 0.999999479786995 & 1.04042601072994e-06 & 5.20213005364969e-07 \tabularnewline
232 & 0.999999027233748 & 1.94553250348022e-06 & 9.72766251740108e-07 \tabularnewline
233 & 0.999999938905363 & 1.22189273265338e-07 & 6.1094636632669e-08 \tabularnewline
234 & 0.999999878332081 & 2.43335838435653e-07 & 1.21667919217827e-07 \tabularnewline
235 & 0.999999854709802 & 2.90580396237535e-07 & 1.45290198118768e-07 \tabularnewline
236 & 0.999999754104148 & 4.91791704713445e-07 & 2.45895852356722e-07 \tabularnewline
237 & 0.999999525862131 & 9.48275738838982e-07 & 4.74137869419491e-07 \tabularnewline
238 & 0.999999087002695 & 1.82599460971904e-06 & 9.12997304859521e-07 \tabularnewline
239 & 0.999998636901396 & 2.72619720792263e-06 & 1.36309860396131e-06 \tabularnewline
240 & 0.99999789536213 & 4.20927574017739e-06 & 2.1046378700887e-06 \tabularnewline
241 & 0.999995987017837 & 8.02596432508096e-06 & 4.01298216254048e-06 \tabularnewline
242 & 0.999997631556071 & 4.73688785735105e-06 & 2.36844392867552e-06 \tabularnewline
243 & 0.999996632257368 & 6.73548526403675e-06 & 3.36774263201838e-06 \tabularnewline
244 & 0.999993764642262 & 1.24707154763333e-05 & 6.23535773816665e-06 \tabularnewline
245 & 0.999988336148722 & 2.33277025564897e-05 & 1.16638512782449e-05 \tabularnewline
246 & 0.999989588974685 & 2.08220506290944e-05 & 1.04110253145472e-05 \tabularnewline
247 & 0.999990722813324 & 1.85543733523367e-05 & 9.27718667616836e-06 \tabularnewline
248 & 0.999988280734114 & 2.34385317725225e-05 & 1.17192658862612e-05 \tabularnewline
249 & 0.999977826138832 & 4.43477223362759e-05 & 2.21738611681379e-05 \tabularnewline
250 & 0.999975517256077 & 4.89654878469223e-05 & 2.44827439234611e-05 \tabularnewline
251 & 0.999952626684749 & 9.47466305013697e-05 & 4.73733152506849e-05 \tabularnewline
252 & 0.99992409449482 & 0.000151811010359691 & 7.59055051798454e-05 \tabularnewline
253 & 0.99987428916079 & 0.000251421678420098 & 0.000125710839210049 \tabularnewline
254 & 0.999764381372458 & 0.000471237255084472 & 0.000235618627542236 \tabularnewline
255 & 0.999976251553973 & 4.74968920545874e-05 & 2.37484460272937e-05 \tabularnewline
256 & 0.999960541661418 & 7.8916677163765e-05 & 3.94583385818825e-05 \tabularnewline
257 & 0.999935763797552 & 0.000128472404895264 & 6.42362024476321e-05 \tabularnewline
258 & 0.999871263266378 & 0.000257473467243482 & 0.000128736733621741 \tabularnewline
259 & 0.99990058616794 & 0.000198827664120715 & 9.94138320603577e-05 \tabularnewline
260 & 0.999851995647483 & 0.000296008705033333 & 0.000148004352516667 \tabularnewline
261 & 0.999728490800969 & 0.000543018398061822 & 0.000271509199030911 \tabularnewline
262 & 0.999918653404886 & 0.000162693190227867 & 8.13465951139337e-05 \tabularnewline
263 & 0.999817916665504 & 0.00036416666899216 & 0.00018208333449608 \tabularnewline
264 & 0.999602603629865 & 0.000794792740269754 & 0.000397396370134877 \tabularnewline
265 & 0.999234181453808 & 0.0015316370923833 & 0.000765818546191648 \tabularnewline
266 & 0.998457963657383 & 0.00308407268523337 & 0.00154203634261669 \tabularnewline
267 & 0.997101641721712 & 0.00579671655657619 & 0.0028983582782881 \tabularnewline
268 & 0.994284515448862 & 0.0114309691022763 & 0.00571548455113813 \tabularnewline
269 & 0.999461501681795 & 0.00107699663640918 & 0.000538498318204588 \tabularnewline
270 & 0.999743213522562 & 0.000513572954875955 & 0.000256786477437978 \tabularnewline
271 & 0.999510780643693 & 0.000978438712613483 & 0.000489219356306742 \tabularnewline
272 & 0.998667394968197 & 0.00266521006360507 & 0.00133260503180253 \tabularnewline
273 & 0.999260295513181 & 0.00147940897363887 & 0.000739704486819436 \tabularnewline
274 & 0.997941494014837 & 0.00411701197032593 & 0.00205850598516296 \tabularnewline
275 & 0.996648245875935 & 0.0067035082481292 & 0.0033517541240646 \tabularnewline
276 & 0.990038125198189 & 0.0199237496036224 & 0.00996187480181121 \tabularnewline
277 & 0.992669362228097 & 0.0146612755438058 & 0.0073306377719029 \tabularnewline
278 & 0.976294637417132 & 0.0474107251657352 & 0.0237053625828676 \tabularnewline
279 & 0.927464283899922 & 0.145071432200157 & 0.0725357161000783 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=190244&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]0.999501413878176[/C][C]0.000997172243647427[/C][C]0.000498586121823713[/C][/ROW]
[ROW][C]11[/C][C]0.998888209976533[/C][C]0.00222358004693372[/C][C]0.00111179002346686[/C][/ROW]
[ROW][C]12[/C][C]0.998709172190501[/C][C]0.00258165561899743[/C][C]0.00129082780949872[/C][/ROW]
[ROW][C]13[/C][C]0.997264638886275[/C][C]0.00547072222744988[/C][C]0.00273536111372494[/C][/ROW]
[ROW][C]14[/C][C]0.995648448039964[/C][C]0.00870310392007224[/C][C]0.00435155196003612[/C][/ROW]
[ROW][C]15[/C][C]0.992517505603667[/C][C]0.0149649887926658[/C][C]0.0074824943963329[/C][/ROW]
[ROW][C]16[/C][C]0.988806472297834[/C][C]0.0223870554043325[/C][C]0.0111935277021662[/C][/ROW]
[ROW][C]17[/C][C]0.993121617431096[/C][C]0.0137567651378079[/C][C]0.00687838256890396[/C][/ROW]
[ROW][C]18[/C][C]0.991626791048107[/C][C]0.0167464179037855[/C][C]0.00837320895189275[/C][/ROW]
[ROW][C]19[/C][C]0.989535292226595[/C][C]0.0209294155468103[/C][C]0.0104647077734052[/C][/ROW]
[ROW][C]20[/C][C]0.983660088689473[/C][C]0.0326798226210536[/C][C]0.0163399113105268[/C][/ROW]
[ROW][C]21[/C][C]0.977095109746722[/C][C]0.0458097805065561[/C][C]0.022904890253278[/C][/ROW]
[ROW][C]22[/C][C]0.969315271792176[/C][C]0.0613694564156476[/C][C]0.0306847282078238[/C][/ROW]
[ROW][C]23[/C][C]0.980016634317363[/C][C]0.0399667313652737[/C][C]0.0199833656826369[/C][/ROW]
[ROW][C]24[/C][C]0.972464986134068[/C][C]0.0550700277318643[/C][C]0.0275350138659322[/C][/ROW]
[ROW][C]25[/C][C]0.965012591302766[/C][C]0.0699748173944671[/C][C]0.0349874086972336[/C][/ROW]
[ROW][C]26[/C][C]0.96391735781343[/C][C]0.0721652843731407[/C][C]0.0360826421865703[/C][/ROW]
[ROW][C]27[/C][C]0.966409420315379[/C][C]0.0671811593692417[/C][C]0.0335905796846208[/C][/ROW]
[ROW][C]28[/C][C]0.956000628318033[/C][C]0.087998743363933[/C][C]0.0439993716819665[/C][/ROW]
[ROW][C]29[/C][C]0.974897358486852[/C][C]0.0502052830262969[/C][C]0.0251026415131485[/C][/ROW]
[ROW][C]30[/C][C]0.97742750132561[/C][C]0.0451449973487808[/C][C]0.0225724986743904[/C][/ROW]
[ROW][C]31[/C][C]0.972505037609266[/C][C]0.0549899247814674[/C][C]0.0274949623907337[/C][/ROW]
[ROW][C]32[/C][C]0.963946206029676[/C][C]0.0721075879406474[/C][C]0.0360537939703237[/C][/ROW]
[ROW][C]33[/C][C]0.954388061123415[/C][C]0.0912238777531704[/C][C]0.0456119388765852[/C][/ROW]
[ROW][C]34[/C][C]0.954042748498896[/C][C]0.0919145030022078[/C][C]0.0459572515011039[/C][/ROW]
[ROW][C]35[/C][C]0.950101140769239[/C][C]0.0997977184615214[/C][C]0.0498988592307607[/C][/ROW]
[ROW][C]36[/C][C]0.941029183047072[/C][C]0.117941633905856[/C][C]0.0589708169529278[/C][/ROW]
[ROW][C]37[/C][C]0.933244725569021[/C][C]0.133510548861958[/C][C]0.0667552744309791[/C][/ROW]
[ROW][C]38[/C][C]0.956401652704702[/C][C]0.0871966945905964[/C][C]0.0435983472952982[/C][/ROW]
[ROW][C]39[/C][C]0.950299181476015[/C][C]0.0994016370479692[/C][C]0.0497008185239846[/C][/ROW]
[ROW][C]40[/C][C]0.940583396808759[/C][C]0.118833206382482[/C][C]0.0594166031912411[/C][/ROW]
[ROW][C]41[/C][C]0.928320261534478[/C][C]0.143359476931043[/C][C]0.0716797384655216[/C][/ROW]
[ROW][C]42[/C][C]0.915078418751898[/C][C]0.169843162496205[/C][C]0.0849215812481023[/C][/ROW]
[ROW][C]43[/C][C]0.913392997371596[/C][C]0.173214005256808[/C][C]0.0866070026284039[/C][/ROW]
[ROW][C]44[/C][C]0.901298109714172[/C][C]0.197403780571657[/C][C]0.0987018902858284[/C][/ROW]
[ROW][C]45[/C][C]0.990249737468681[/C][C]0.0195005250626378[/C][C]0.0097502625313189[/C][/ROW]
[ROW][C]46[/C][C]0.987480240026559[/C][C]0.025039519946883[/C][C]0.0125197599734415[/C][/ROW]
[ROW][C]47[/C][C]0.988817412536421[/C][C]0.0223651749271578[/C][C]0.0111825874635789[/C][/ROW]
[ROW][C]48[/C][C]0.985465202619715[/C][C]0.0290695947605695[/C][C]0.0145347973802847[/C][/ROW]
[ROW][C]49[/C][C]0.981397319690358[/C][C]0.0372053606192844[/C][C]0.0186026803096422[/C][/ROW]
[ROW][C]50[/C][C]0.999993426359193[/C][C]1.31472816130843e-05[/C][C]6.57364080654214e-06[/C][/ROW]
[ROW][C]51[/C][C]0.999998703675742[/C][C]2.59264851614839e-06[/C][C]1.2963242580742e-06[/C][/ROW]
[ROW][C]52[/C][C]0.999998062029944[/C][C]3.87594011178314e-06[/C][C]1.93797005589157e-06[/C][/ROW]
[ROW][C]53[/C][C]0.999997040500763[/C][C]5.91899847359516e-06[/C][C]2.95949923679758e-06[/C][/ROW]
[ROW][C]54[/C][C]0.999998519676637[/C][C]2.96064672695228e-06[/C][C]1.48032336347614e-06[/C][/ROW]
[ROW][C]55[/C][C]0.999999660682556[/C][C]6.78634888957171e-07[/C][C]3.39317444478586e-07[/C][/ROW]
[ROW][C]56[/C][C]0.999999617751143[/C][C]7.64497714071755e-07[/C][C]3.82248857035877e-07[/C][/ROW]
[ROW][C]57[/C][C]0.99999951867401[/C][C]9.62651978943109e-07[/C][C]4.81325989471555e-07[/C][/ROW]
[ROW][C]58[/C][C]0.999999999392563[/C][C]1.21487312260248e-09[/C][C]6.07436561301238e-10[/C][/ROW]
[ROW][C]59[/C][C]0.999999998929804[/C][C]2.14039279490924e-09[/C][C]1.07019639745462e-09[/C][/ROW]
[ROW][C]60[/C][C]0.999999998130478[/C][C]3.73904384797412e-09[/C][C]1.86952192398706e-09[/C][/ROW]
[ROW][C]61[/C][C]0.999999997954574[/C][C]4.09085246711442e-09[/C][C]2.04542623355721e-09[/C][/ROW]
[ROW][C]62[/C][C]0.999999999187814[/C][C]1.62437234518552e-09[/C][C]8.12186172592759e-10[/C][/ROW]
[ROW][C]63[/C][C]0.999999998529417[/C][C]2.941166016032e-09[/C][C]1.470583008016e-09[/C][/ROW]
[ROW][C]64[/C][C]0.999999997381181[/C][C]5.23763773535247e-09[/C][C]2.61881886767623e-09[/C][/ROW]
[ROW][C]65[/C][C]0.99999999743984[/C][C]5.120319448545e-09[/C][C]2.5601597242725e-09[/C][/ROW]
[ROW][C]66[/C][C]0.999999996474697[/C][C]7.05060595645928e-09[/C][C]3.52530297822964e-09[/C][/ROW]
[ROW][C]67[/C][C]0.999999994791144[/C][C]1.04177122521364e-08[/C][C]5.20885612606822e-09[/C][/ROW]
[ROW][C]68[/C][C]0.999999991605262[/C][C]1.67894764998278e-08[/C][C]8.39473824991388e-09[/C][/ROW]
[ROW][C]69[/C][C]0.999999985783964[/C][C]2.84320725078792e-08[/C][C]1.42160362539396e-08[/C][/ROW]
[ROW][C]70[/C][C]0.999999998412573[/C][C]3.17485332223185e-09[/C][C]1.58742666111592e-09[/C][/ROW]
[ROW][C]71[/C][C]0.999999997682199[/C][C]4.63560224388501e-09[/C][C]2.31780112194251e-09[/C][/ROW]
[ROW][C]72[/C][C]0.999999996777436[/C][C]6.44512754435515e-09[/C][C]3.22256377217758e-09[/C][/ROW]
[ROW][C]73[/C][C]0.999999998738221[/C][C]2.52355767583076e-09[/C][C]1.26177883791538e-09[/C][/ROW]
[ROW][C]74[/C][C]0.9999999981479[/C][C]3.70420057459309e-09[/C][C]1.85210028729654e-09[/C][/ROW]
[ROW][C]75[/C][C]0.999999996924084[/C][C]6.15183254979512e-09[/C][C]3.07591627489756e-09[/C][/ROW]
[ROW][C]76[/C][C]0.999999994843285[/C][C]1.0313429248501e-08[/C][C]5.15671462425049e-09[/C][/ROW]
[ROW][C]77[/C][C]0.999999992992577[/C][C]1.40148466052416e-08[/C][C]7.00742330262082e-09[/C][/ROW]
[ROW][C]78[/C][C]0.999999989015985[/C][C]2.19680293207652e-08[/C][C]1.09840146603826e-08[/C][/ROW]
[ROW][C]79[/C][C]0.999999988635522[/C][C]2.2728956843159e-08[/C][C]1.13644784215795e-08[/C][/ROW]
[ROW][C]80[/C][C]0.999999981394616[/C][C]3.72107679768566e-08[/C][C]1.86053839884283e-08[/C][/ROW]
[ROW][C]81[/C][C]0.999999970508638[/C][C]5.89827239327051e-08[/C][C]2.94913619663525e-08[/C][/ROW]
[ROW][C]82[/C][C]0.999999954664287[/C][C]9.06714265429552e-08[/C][C]4.53357132714776e-08[/C][/ROW]
[ROW][C]83[/C][C]0.99999994437194[/C][C]1.11256119561521e-07[/C][C]5.56280597807607e-08[/C][/ROW]
[ROW][C]84[/C][C]0.999999909756907[/C][C]1.80486185973524e-07[/C][C]9.02430929867619e-08[/C][/ROW]
[ROW][C]85[/C][C]0.999999945991931[/C][C]1.08016138768212e-07[/C][C]5.40080693841059e-08[/C][/ROW]
[ROW][C]86[/C][C]0.999999918569061[/C][C]1.62861877125563e-07[/C][C]8.14309385627817e-08[/C][/ROW]
[ROW][C]87[/C][C]0.999999878115361[/C][C]2.43769278662617e-07[/C][C]1.21884639331308e-07[/C][/ROW]
[ROW][C]88[/C][C]0.999999875040593[/C][C]2.49918814802248e-07[/C][C]1.24959407401124e-07[/C][/ROW]
[ROW][C]89[/C][C]0.999999858434359[/C][C]2.83131282646687e-07[/C][C]1.41565641323344e-07[/C][/ROW]
[ROW][C]90[/C][C]0.999999913221479[/C][C]1.73557041193558e-07[/C][C]8.67785205967791e-08[/C][/ROW]
[ROW][C]91[/C][C]0.999999950569804[/C][C]9.88603916837272e-08[/C][C]4.94301958418636e-08[/C][/ROW]
[ROW][C]92[/C][C]0.999999941867412[/C][C]1.16265176634325e-07[/C][C]5.81325883171623e-08[/C][/ROW]
[ROW][C]93[/C][C]0.999999973413398[/C][C]5.31732050125276e-08[/C][C]2.65866025062638e-08[/C][/ROW]
[ROW][C]94[/C][C]0.999999985654254[/C][C]2.86914919989331e-08[/C][C]1.43457459994665e-08[/C][/ROW]
[ROW][C]95[/C][C]0.999999987968489[/C][C]2.40630219405096e-08[/C][C]1.20315109702548e-08[/C][/ROW]
[ROW][C]96[/C][C]0.999999980799706[/C][C]3.84005877432499e-08[/C][C]1.9200293871625e-08[/C][/ROW]
[ROW][C]97[/C][C]0.999999968868681[/C][C]6.22626380362415e-08[/C][C]3.11313190181208e-08[/C][/ROW]
[ROW][C]98[/C][C]0.999999999111797[/C][C]1.7764057140089e-09[/C][C]8.88202857004452e-10[/C][/ROW]
[ROW][C]99[/C][C]0.999999998502726[/C][C]2.99454748524265e-09[/C][C]1.49727374262133e-09[/C][/ROW]
[ROW][C]100[/C][C]0.999999998887888[/C][C]2.22422420280027e-09[/C][C]1.11211210140014e-09[/C][/ROW]
[ROW][C]101[/C][C]0.999999998210232[/C][C]3.57953611828533e-09[/C][C]1.78976805914267e-09[/C][/ROW]
[ROW][C]102[/C][C]0.999999999025766[/C][C]1.94846831929193e-09[/C][C]9.74234159645963e-10[/C][/ROW]
[ROW][C]103[/C][C]0.999999998425133[/C][C]3.14973469687435e-09[/C][C]1.57486734843717e-09[/C][/ROW]
[ROW][C]104[/C][C]0.999999997534329[/C][C]4.93134119497676e-09[/C][C]2.46567059748838e-09[/C][/ROW]
[ROW][C]105[/C][C]0.999999997874929[/C][C]4.25014151496105e-09[/C][C]2.12507075748052e-09[/C][/ROW]
[ROW][C]106[/C][C]0.999999998432701[/C][C]3.134597097711e-09[/C][C]1.5672985488555e-09[/C][/ROW]
[ROW][C]107[/C][C]0.999999997388741[/C][C]5.22251724155501e-09[/C][C]2.61125862077751e-09[/C][/ROW]
[ROW][C]108[/C][C]0.999999995675385[/C][C]8.6492304580416e-09[/C][C]4.3246152290208e-09[/C][/ROW]
[ROW][C]109[/C][C]0.999999993936675[/C][C]1.21266500070864e-08[/C][C]6.06332500354319e-09[/C][/ROW]
[ROW][C]110[/C][C]0.999999991424382[/C][C]1.71512362192033e-08[/C][C]8.57561810960164e-09[/C][/ROW]
[ROW][C]111[/C][C]0.99999998794955[/C][C]2.41009005095389e-08[/C][C]1.20504502547694e-08[/C][/ROW]
[ROW][C]112[/C][C]0.999999981857133[/C][C]3.62857342368028e-08[/C][C]1.81428671184014e-08[/C][/ROW]
[ROW][C]113[/C][C]0.999999971221101[/C][C]5.75577974707099e-08[/C][C]2.8778898735355e-08[/C][/ROW]
[ROW][C]114[/C][C]0.999999953527525[/C][C]9.29449494026846e-08[/C][C]4.64724747013423e-08[/C][/ROW]
[ROW][C]115[/C][C]0.999999927505656[/C][C]1.44988688644709e-07[/C][C]7.24943443223543e-08[/C][/ROW]
[ROW][C]116[/C][C]0.999999973466339[/C][C]5.30673228008036e-08[/C][C]2.65336614004018e-08[/C][/ROW]
[ROW][C]117[/C][C]0.999999959423572[/C][C]8.11528558445348e-08[/C][C]4.05764279222674e-08[/C][/ROW]
[ROW][C]118[/C][C]0.999999943967658[/C][C]1.12064684967236e-07[/C][C]5.60323424836182e-08[/C][/ROW]
[ROW][C]119[/C][C]0.99999991572785[/C][C]1.68544299571855e-07[/C][C]8.42721497859276e-08[/C][/ROW]
[ROW][C]120[/C][C]0.999999874159786[/C][C]2.51680427923169e-07[/C][C]1.25840213961585e-07[/C][/ROW]
[ROW][C]121[/C][C]0.999999801947311[/C][C]3.96105377585781e-07[/C][C]1.98052688792891e-07[/C][/ROW]
[ROW][C]122[/C][C]0.999999870934679[/C][C]2.5813064164464e-07[/C][C]1.2906532082232e-07[/C][/ROW]
[ROW][C]123[/C][C]0.999999804205584[/C][C]3.91588832474624e-07[/C][C]1.95794416237312e-07[/C][/ROW]
[ROW][C]124[/C][C]0.999999711961166[/C][C]5.76077667824828e-07[/C][C]2.88038833912414e-07[/C][/ROW]
[ROW][C]125[/C][C]0.999999924110619[/C][C]1.51778762675869e-07[/C][C]7.58893813379344e-08[/C][/ROW]
[ROW][C]126[/C][C]0.999999918716541[/C][C]1.6256691765354e-07[/C][C]8.12834588267699e-08[/C][/ROW]
[ROW][C]127[/C][C]0.999999885816454[/C][C]2.28367091202125e-07[/C][C]1.14183545601063e-07[/C][/ROW]
[ROW][C]128[/C][C]0.999999862640462[/C][C]2.74719075131626e-07[/C][C]1.37359537565813e-07[/C][/ROW]
[ROW][C]129[/C][C]0.999999925610301[/C][C]1.48779397458951e-07[/C][C]7.43896987294757e-08[/C][/ROW]
[ROW][C]130[/C][C]0.99999988225712[/C][C]2.35485759954488e-07[/C][C]1.17742879977244e-07[/C][/ROW]
[ROW][C]131[/C][C]0.999999814724615[/C][C]3.70550769490341e-07[/C][C]1.8527538474517e-07[/C][/ROW]
[ROW][C]132[/C][C]0.999999754865495[/C][C]4.90269010829016e-07[/C][C]2.45134505414508e-07[/C][/ROW]
[ROW][C]133[/C][C]0.999999697743348[/C][C]6.0451330433969e-07[/C][C]3.02256652169845e-07[/C][/ROW]
[ROW][C]134[/C][C]0.999999892841886[/C][C]2.14316228919742e-07[/C][C]1.07158114459871e-07[/C][/ROW]
[ROW][C]135[/C][C]0.999999844555184[/C][C]3.10889632492786e-07[/C][C]1.55444816246393e-07[/C][/ROW]
[ROW][C]136[/C][C]0.999999768709375[/C][C]4.62581249535749e-07[/C][C]2.31290624767875e-07[/C][/ROW]
[ROW][C]137[/C][C]0.999999641004597[/C][C]7.17990805738379e-07[/C][C]3.58995402869189e-07[/C][/ROW]
[ROW][C]138[/C][C]0.9999994730478[/C][C]1.05390440047724e-06[/C][C]5.26952200238621e-07[/C][/ROW]
[ROW][C]139[/C][C]0.999999268421922[/C][C]1.4631561564312e-06[/C][C]7.31578078215601e-07[/C][/ROW]
[ROW][C]140[/C][C]0.999998940790275[/C][C]2.11841944981167e-06[/C][C]1.05920972490584e-06[/C][/ROW]
[ROW][C]141[/C][C]0.999998690367531[/C][C]2.61926493830147e-06[/C][C]1.30963246915074e-06[/C][/ROW]
[ROW][C]142[/C][C]0.999998025589916[/C][C]3.94882016829826e-06[/C][C]1.97441008414913e-06[/C][/ROW]
[ROW][C]143[/C][C]0.999997039813878[/C][C]5.92037224364953e-06[/C][C]2.96018612182476e-06[/C][/ROW]
[ROW][C]144[/C][C]0.999996276532116[/C][C]7.4469357672521e-06[/C][C]3.72346788362605e-06[/C][/ROW]
[ROW][C]145[/C][C]0.999995221805338[/C][C]9.55638932370996e-06[/C][C]4.77819466185498e-06[/C][/ROW]
[ROW][C]146[/C][C]0.999993803068973[/C][C]1.23938620530449e-05[/C][C]6.19693102652245e-06[/C][/ROW]
[ROW][C]147[/C][C]0.999993677570038[/C][C]1.26448599236444e-05[/C][C]6.32242996182219e-06[/C][/ROW]
[ROW][C]148[/C][C]0.999992745287688[/C][C]1.45094246240293e-05[/C][C]7.25471231201464e-06[/C][/ROW]
[ROW][C]149[/C][C]0.999990733862856[/C][C]1.8532274288773e-05[/C][C]9.26613714438652e-06[/C][/ROW]
[ROW][C]150[/C][C]0.999986404747677[/C][C]2.71905046455404e-05[/C][C]1.35952523227702e-05[/C][/ROW]
[ROW][C]151[/C][C]0.999980657177691[/C][C]3.8685644617489e-05[/C][C]1.93428223087445e-05[/C][/ROW]
[ROW][C]152[/C][C]0.99997758893265[/C][C]4.48221346996678e-05[/C][C]2.24110673498339e-05[/C][/ROW]
[ROW][C]153[/C][C]0.999971839460762[/C][C]5.63210784761476e-05[/C][C]2.81605392380738e-05[/C][/ROW]
[ROW][C]154[/C][C]0.999982040728249[/C][C]3.59185435026774e-05[/C][C]1.79592717513387e-05[/C][/ROW]
[ROW][C]155[/C][C]0.999987702252953[/C][C]2.45954940931103e-05[/C][C]1.22977470465551e-05[/C][/ROW]
[ROW][C]156[/C][C]0.999988486736214[/C][C]2.30265275724804e-05[/C][C]1.15132637862402e-05[/C][/ROW]
[ROW][C]157[/C][C]0.999986699233776[/C][C]2.6601532448595e-05[/C][C]1.33007662242975e-05[/C][/ROW]
[ROW][C]158[/C][C]0.999982580195008[/C][C]3.48396099835523e-05[/C][C]1.74198049917762e-05[/C][/ROW]
[ROW][C]159[/C][C]0.999979501758662[/C][C]4.09964826769409e-05[/C][C]2.04982413384705e-05[/C][/ROW]
[ROW][C]160[/C][C]0.999987982162209[/C][C]2.40356755829664e-05[/C][C]1.20178377914832e-05[/C][/ROW]
[ROW][C]161[/C][C]0.999985505416975[/C][C]2.89891660508837e-05[/C][C]1.44945830254418e-05[/C][/ROW]
[ROW][C]162[/C][C]0.999980010052659[/C][C]3.99798946825927e-05[/C][C]1.99899473412963e-05[/C][/ROW]
[ROW][C]163[/C][C]0.99997160694799[/C][C]5.67861040203282e-05[/C][C]2.83930520101641e-05[/C][/ROW]
[ROW][C]164[/C][C]0.999999197130165[/C][C]1.60573966953574e-06[/C][C]8.02869834767868e-07[/C][/ROW]
[ROW][C]165[/C][C]0.999999337437585[/C][C]1.32512482984779e-06[/C][C]6.62562414923895e-07[/C][/ROW]
[ROW][C]166[/C][C]0.9999996226812[/C][C]7.54637599764957e-07[/C][C]3.77318799882478e-07[/C][/ROW]
[ROW][C]167[/C][C]0.99999942968168[/C][C]1.14063664078783e-06[/C][C]5.70318320393913e-07[/C][/ROW]
[ROW][C]168[/C][C]0.999999119525342[/C][C]1.7609493163876e-06[/C][C]8.80474658193798e-07[/C][/ROW]
[ROW][C]169[/C][C]0.999999635615764[/C][C]7.28768471755095e-07[/C][C]3.64384235877548e-07[/C][/ROW]
[ROW][C]170[/C][C]0.999999799929116[/C][C]4.00141767316852e-07[/C][C]2.00070883658426e-07[/C][/ROW]
[ROW][C]171[/C][C]0.999999997389939[/C][C]5.22012092516017e-09[/C][C]2.61006046258008e-09[/C][/ROW]
[ROW][C]172[/C][C]0.999999996928979[/C][C]6.1420414023792e-09[/C][C]3.0710207011896e-09[/C][/ROW]
[ROW][C]173[/C][C]0.99999999854064[/C][C]2.91872022783718e-09[/C][C]1.45936011391859e-09[/C][/ROW]
[ROW][C]174[/C][C]0.999999998739096[/C][C]2.5218086885181e-09[/C][C]1.26090434425905e-09[/C][/ROW]
[ROW][C]175[/C][C]0.999999997842511[/C][C]4.31497709153161e-09[/C][C]2.15748854576581e-09[/C][/ROW]
[ROW][C]176[/C][C]0.999999999680806[/C][C]6.38387978849087e-10[/C][C]3.19193989424544e-10[/C][/ROW]
[ROW][C]177[/C][C]0.999999999976026[/C][C]4.79480788433677e-11[/C][C]2.39740394216839e-11[/C][/ROW]
[ROW][C]178[/C][C]0.999999999955095[/C][C]8.98100442835504e-11[/C][C]4.49050221417752e-11[/C][/ROW]
[ROW][C]179[/C][C]0.999999999966692[/C][C]6.66170384467231e-11[/C][C]3.33085192233616e-11[/C][/ROW]
[ROW][C]180[/C][C]0.999999999962751[/C][C]7.44977902907651e-11[/C][C]3.72488951453825e-11[/C][/ROW]
[ROW][C]181[/C][C]0.999999999943027[/C][C]1.13945541774487e-10[/C][C]5.69727708872437e-11[/C][/ROW]
[ROW][C]182[/C][C]0.999999999957578[/C][C]8.48435407887114e-11[/C][C]4.24217703943557e-11[/C][/ROW]
[ROW][C]183[/C][C]0.999999999922239[/C][C]1.55522202026288e-10[/C][C]7.77611010131438e-11[/C][/ROW]
[ROW][C]184[/C][C]0.999999999854271[/C][C]2.91457313900386e-10[/C][C]1.45728656950193e-10[/C][/ROW]
[ROW][C]185[/C][C]0.999999999800919[/C][C]3.9816275034187e-10[/C][C]1.99081375170935e-10[/C][/ROW]
[ROW][C]186[/C][C]0.999999999633591[/C][C]7.32818460321685e-10[/C][C]3.66409230160843e-10[/C][/ROW]
[ROW][C]187[/C][C]0.99999999953299[/C][C]9.34019547405848e-10[/C][C]4.67009773702924e-10[/C][/ROW]
[ROW][C]188[/C][C]0.999999999184529[/C][C]1.6309416861018e-09[/C][C]8.15470843050901e-10[/C][/ROW]
[ROW][C]189[/C][C]0.999999998973929[/C][C]2.05214193235992e-09[/C][C]1.02607096617996e-09[/C][/ROW]
[ROW][C]190[/C][C]0.99999999894661[/C][C]2.10677999048307e-09[/C][C]1.05338999524154e-09[/C][/ROW]
[ROW][C]191[/C][C]0.999999998553109[/C][C]2.89378192481517e-09[/C][C]1.44689096240759e-09[/C][/ROW]
[ROW][C]192[/C][C]0.999999999301895[/C][C]1.39621051098227e-09[/C][C]6.98105255491136e-10[/C][/ROW]
[ROW][C]193[/C][C]0.999999998727893[/C][C]2.54421406601332e-09[/C][C]1.27210703300666e-09[/C][/ROW]
[ROW][C]194[/C][C]0.999999999812596[/C][C]3.74808682447282e-10[/C][C]1.87404341223641e-10[/C][/ROW]
[ROW][C]195[/C][C]0.999999999689527[/C][C]6.20945019740514e-10[/C][C]3.10472509870257e-10[/C][/ROW]
[ROW][C]196[/C][C]0.999999999443622[/C][C]1.11275549692555e-09[/C][C]5.56377748462777e-10[/C][/ROW]
[ROW][C]197[/C][C]0.99999999969778[/C][C]6.04440627301957e-10[/C][C]3.02220313650979e-10[/C][/ROW]
[ROW][C]198[/C][C]0.999999999431317[/C][C]1.13736666065481e-09[/C][C]5.68683330327405e-10[/C][/ROW]
[ROW][C]199[/C][C]0.999999999960152[/C][C]7.96963701423783e-11[/C][C]3.98481850711891e-11[/C][/ROW]
[ROW][C]200[/C][C]0.99999999992299[/C][C]1.54020730834645e-10[/C][C]7.70103654173227e-11[/C][/ROW]
[ROW][C]201[/C][C]0.999999999890621[/C][C]2.18758223849324e-10[/C][C]1.09379111924662e-10[/C][/ROW]
[ROW][C]202[/C][C]0.999999999837126[/C][C]3.25747098311647e-10[/C][C]1.62873549155823e-10[/C][/ROW]
[ROW][C]203[/C][C]0.999999999688388[/C][C]6.23223585236573e-10[/C][C]3.11611792618286e-10[/C][/ROW]
[ROW][C]204[/C][C]0.999999999459811[/C][C]1.08037736134769e-09[/C][C]5.40188680673846e-10[/C][/ROW]
[ROW][C]205[/C][C]0.999999999697732[/C][C]6.04535511892301e-10[/C][C]3.0226775594615e-10[/C][/ROW]
[ROW][C]206[/C][C]0.999999999413968[/C][C]1.17206371819879e-09[/C][C]5.86031859099393e-10[/C][/ROW]
[ROW][C]207[/C][C]0.999999998880422[/C][C]2.23915515783374e-09[/C][C]1.11957757891687e-09[/C][/ROW]
[ROW][C]208[/C][C]0.999999998384093[/C][C]3.23181341061208e-09[/C][C]1.61590670530604e-09[/C][/ROW]
[ROW][C]209[/C][C]0.999999996950432[/C][C]6.09913582966882e-09[/C][C]3.04956791483441e-09[/C][/ROW]
[ROW][C]210[/C][C]0.999999995656083[/C][C]8.68783367770232e-09[/C][C]4.34391683885116e-09[/C][/ROW]
[ROW][C]211[/C][C]0.999999991803757[/C][C]1.6392485963082e-08[/C][C]8.19624298154101e-09[/C][/ROW]
[ROW][C]212[/C][C]0.999999986817107[/C][C]2.63657852047963e-08[/C][C]1.31828926023982e-08[/C][/ROW]
[ROW][C]213[/C][C]0.999999978842418[/C][C]4.23151646960034e-08[/C][C]2.11575823480017e-08[/C][/ROW]
[ROW][C]214[/C][C]0.999999962754066[/C][C]7.44918683271801e-08[/C][C]3.72459341635901e-08[/C][/ROW]
[ROW][C]215[/C][C]0.999999983833522[/C][C]3.23329552190381e-08[/C][C]1.61664776095191e-08[/C][/ROW]
[ROW][C]216[/C][C]0.999999969537271[/C][C]6.09254576399403e-08[/C][C]3.04627288199702e-08[/C][/ROW]
[ROW][C]217[/C][C]0.999999978893186[/C][C]4.22136271777216e-08[/C][C]2.11068135888608e-08[/C][/ROW]
[ROW][C]218[/C][C]0.999999979498656[/C][C]4.10026888105471e-08[/C][C]2.05013444052736e-08[/C][/ROW]
[ROW][C]219[/C][C]0.999999968884691[/C][C]6.22306172572307e-08[/C][C]3.11153086286154e-08[/C][/ROW]
[ROW][C]220[/C][C]0.999999948289041[/C][C]1.03421918326037e-07[/C][C]5.17109591630183e-08[/C][/ROW]
[ROW][C]221[/C][C]0.999999950248965[/C][C]9.95020704862873e-08[/C][C]4.97510352431437e-08[/C][/ROW]
[ROW][C]222[/C][C]0.999999927344996[/C][C]1.45310008854272e-07[/C][C]7.26550044271361e-08[/C][/ROW]
[ROW][C]223[/C][C]0.999999967467471[/C][C]6.50650582090796e-08[/C][C]3.25325291045398e-08[/C][/ROW]
[ROW][C]224[/C][C]0.999999953948398[/C][C]9.21032037242961e-08[/C][C]4.60516018621481e-08[/C][/ROW]
[ROW][C]225[/C][C]0.999999928752544[/C][C]1.424949114835e-07[/C][C]7.12474557417501e-08[/C][/ROW]
[ROW][C]226[/C][C]0.999999873068349[/C][C]2.53863301091962e-07[/C][C]1.26931650545981e-07[/C][/ROW]
[ROW][C]227[/C][C]0.999999818345127[/C][C]3.63309746659148e-07[/C][C]1.81654873329574e-07[/C][/ROW]
[ROW][C]228[/C][C]0.999999705223819[/C][C]5.89552362453252e-07[/C][C]2.94776181226626e-07[/C][/ROW]
[ROW][C]229[/C][C]0.999999525937737[/C][C]9.48124525952137e-07[/C][C]4.74062262976069e-07[/C][/ROW]
[ROW][C]230[/C][C]0.999999726616551[/C][C]5.46766898101243e-07[/C][C]2.73383449050621e-07[/C][/ROW]
[ROW][C]231[/C][C]0.999999479786995[/C][C]1.04042601072994e-06[/C][C]5.20213005364969e-07[/C][/ROW]
[ROW][C]232[/C][C]0.999999027233748[/C][C]1.94553250348022e-06[/C][C]9.72766251740108e-07[/C][/ROW]
[ROW][C]233[/C][C]0.999999938905363[/C][C]1.22189273265338e-07[/C][C]6.1094636632669e-08[/C][/ROW]
[ROW][C]234[/C][C]0.999999878332081[/C][C]2.43335838435653e-07[/C][C]1.21667919217827e-07[/C][/ROW]
[ROW][C]235[/C][C]0.999999854709802[/C][C]2.90580396237535e-07[/C][C]1.45290198118768e-07[/C][/ROW]
[ROW][C]236[/C][C]0.999999754104148[/C][C]4.91791704713445e-07[/C][C]2.45895852356722e-07[/C][/ROW]
[ROW][C]237[/C][C]0.999999525862131[/C][C]9.48275738838982e-07[/C][C]4.74137869419491e-07[/C][/ROW]
[ROW][C]238[/C][C]0.999999087002695[/C][C]1.82599460971904e-06[/C][C]9.12997304859521e-07[/C][/ROW]
[ROW][C]239[/C][C]0.999998636901396[/C][C]2.72619720792263e-06[/C][C]1.36309860396131e-06[/C][/ROW]
[ROW][C]240[/C][C]0.99999789536213[/C][C]4.20927574017739e-06[/C][C]2.1046378700887e-06[/C][/ROW]
[ROW][C]241[/C][C]0.999995987017837[/C][C]8.02596432508096e-06[/C][C]4.01298216254048e-06[/C][/ROW]
[ROW][C]242[/C][C]0.999997631556071[/C][C]4.73688785735105e-06[/C][C]2.36844392867552e-06[/C][/ROW]
[ROW][C]243[/C][C]0.999996632257368[/C][C]6.73548526403675e-06[/C][C]3.36774263201838e-06[/C][/ROW]
[ROW][C]244[/C][C]0.999993764642262[/C][C]1.24707154763333e-05[/C][C]6.23535773816665e-06[/C][/ROW]
[ROW][C]245[/C][C]0.999988336148722[/C][C]2.33277025564897e-05[/C][C]1.16638512782449e-05[/C][/ROW]
[ROW][C]246[/C][C]0.999989588974685[/C][C]2.08220506290944e-05[/C][C]1.04110253145472e-05[/C][/ROW]
[ROW][C]247[/C][C]0.999990722813324[/C][C]1.85543733523367e-05[/C][C]9.27718667616836e-06[/C][/ROW]
[ROW][C]248[/C][C]0.999988280734114[/C][C]2.34385317725225e-05[/C][C]1.17192658862612e-05[/C][/ROW]
[ROW][C]249[/C][C]0.999977826138832[/C][C]4.43477223362759e-05[/C][C]2.21738611681379e-05[/C][/ROW]
[ROW][C]250[/C][C]0.999975517256077[/C][C]4.89654878469223e-05[/C][C]2.44827439234611e-05[/C][/ROW]
[ROW][C]251[/C][C]0.999952626684749[/C][C]9.47466305013697e-05[/C][C]4.73733152506849e-05[/C][/ROW]
[ROW][C]252[/C][C]0.99992409449482[/C][C]0.000151811010359691[/C][C]7.59055051798454e-05[/C][/ROW]
[ROW][C]253[/C][C]0.99987428916079[/C][C]0.000251421678420098[/C][C]0.000125710839210049[/C][/ROW]
[ROW][C]254[/C][C]0.999764381372458[/C][C]0.000471237255084472[/C][C]0.000235618627542236[/C][/ROW]
[ROW][C]255[/C][C]0.999976251553973[/C][C]4.74968920545874e-05[/C][C]2.37484460272937e-05[/C][/ROW]
[ROW][C]256[/C][C]0.999960541661418[/C][C]7.8916677163765e-05[/C][C]3.94583385818825e-05[/C][/ROW]
[ROW][C]257[/C][C]0.999935763797552[/C][C]0.000128472404895264[/C][C]6.42362024476321e-05[/C][/ROW]
[ROW][C]258[/C][C]0.999871263266378[/C][C]0.000257473467243482[/C][C]0.000128736733621741[/C][/ROW]
[ROW][C]259[/C][C]0.99990058616794[/C][C]0.000198827664120715[/C][C]9.94138320603577e-05[/C][/ROW]
[ROW][C]260[/C][C]0.999851995647483[/C][C]0.000296008705033333[/C][C]0.000148004352516667[/C][/ROW]
[ROW][C]261[/C][C]0.999728490800969[/C][C]0.000543018398061822[/C][C]0.000271509199030911[/C][/ROW]
[ROW][C]262[/C][C]0.999918653404886[/C][C]0.000162693190227867[/C][C]8.13465951139337e-05[/C][/ROW]
[ROW][C]263[/C][C]0.999817916665504[/C][C]0.00036416666899216[/C][C]0.00018208333449608[/C][/ROW]
[ROW][C]264[/C][C]0.999602603629865[/C][C]0.000794792740269754[/C][C]0.000397396370134877[/C][/ROW]
[ROW][C]265[/C][C]0.999234181453808[/C][C]0.0015316370923833[/C][C]0.000765818546191648[/C][/ROW]
[ROW][C]266[/C][C]0.998457963657383[/C][C]0.00308407268523337[/C][C]0.00154203634261669[/C][/ROW]
[ROW][C]267[/C][C]0.997101641721712[/C][C]0.00579671655657619[/C][C]0.0028983582782881[/C][/ROW]
[ROW][C]268[/C][C]0.994284515448862[/C][C]0.0114309691022763[/C][C]0.00571548455113813[/C][/ROW]
[ROW][C]269[/C][C]0.999461501681795[/C][C]0.00107699663640918[/C][C]0.000538498318204588[/C][/ROW]
[ROW][C]270[/C][C]0.999743213522562[/C][C]0.000513572954875955[/C][C]0.000256786477437978[/C][/ROW]
[ROW][C]271[/C][C]0.999510780643693[/C][C]0.000978438712613483[/C][C]0.000489219356306742[/C][/ROW]
[ROW][C]272[/C][C]0.998667394968197[/C][C]0.00266521006360507[/C][C]0.00133260503180253[/C][/ROW]
[ROW][C]273[/C][C]0.999260295513181[/C][C]0.00147940897363887[/C][C]0.000739704486819436[/C][/ROW]
[ROW][C]274[/C][C]0.997941494014837[/C][C]0.00411701197032593[/C][C]0.00205850598516296[/C][/ROW]
[ROW][C]275[/C][C]0.996648245875935[/C][C]0.0067035082481292[/C][C]0.0033517541240646[/C][/ROW]
[ROW][C]276[/C][C]0.990038125198189[/C][C]0.0199237496036224[/C][C]0.00996187480181121[/C][/ROW]
[ROW][C]277[/C][C]0.992669362228097[/C][C]0.0146612755438058[/C][C]0.0073306377719029[/C][/ROW]
[ROW][C]278[/C][C]0.976294637417132[/C][C]0.0474107251657352[/C][C]0.0237053625828676[/C][/ROW]
[ROW][C]279[/C][C]0.927464283899922[/C][C]0.145071432200157[/C][C]0.0725357161000783[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=190244&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=190244&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
100.9995014138781760.0009971722436474270.000498586121823713
110.9988882099765330.002223580046933720.00111179002346686
120.9987091721905010.002581655618997430.00129082780949872
130.9972646388862750.005470722227449880.00273536111372494
140.9956484480399640.008703103920072240.00435155196003612
150.9925175056036670.01496498879266580.0074824943963329
160.9888064722978340.02238705540433250.0111935277021662
170.9931216174310960.01375676513780790.00687838256890396
180.9916267910481070.01674641790378550.00837320895189275
190.9895352922265950.02092941554681030.0104647077734052
200.9836600886894730.03267982262105360.0163399113105268
210.9770951097467220.04580978050655610.022904890253278
220.9693152717921760.06136945641564760.0306847282078238
230.9800166343173630.03996673136527370.0199833656826369
240.9724649861340680.05507002773186430.0275350138659322
250.9650125913027660.06997481739446710.0349874086972336
260.963917357813430.07216528437314070.0360826421865703
270.9664094203153790.06718115936924170.0335905796846208
280.9560006283180330.0879987433639330.0439993716819665
290.9748973584868520.05020528302629690.0251026415131485
300.977427501325610.04514499734878080.0225724986743904
310.9725050376092660.05498992478146740.0274949623907337
320.9639462060296760.07210758794064740.0360537939703237
330.9543880611234150.09122387775317040.0456119388765852
340.9540427484988960.09191450300220780.0459572515011039
350.9501011407692390.09979771846152140.0498988592307607
360.9410291830470720.1179416339058560.0589708169529278
370.9332447255690210.1335105488619580.0667552744309791
380.9564016527047020.08719669459059640.0435983472952982
390.9502991814760150.09940163704796920.0497008185239846
400.9405833968087590.1188332063824820.0594166031912411
410.9283202615344780.1433594769310430.0716797384655216
420.9150784187518980.1698431624962050.0849215812481023
430.9133929973715960.1732140052568080.0866070026284039
440.9012981097141720.1974037805716570.0987018902858284
450.9902497374686810.01950052506263780.0097502625313189
460.9874802400265590.0250395199468830.0125197599734415
470.9888174125364210.02236517492715780.0111825874635789
480.9854652026197150.02906959476056950.0145347973802847
490.9813973196903580.03720536061928440.0186026803096422
500.9999934263591931.31472816130843e-056.57364080654214e-06
510.9999987036757422.59264851614839e-061.2963242580742e-06
520.9999980620299443.87594011178314e-061.93797005589157e-06
530.9999970405007635.91899847359516e-062.95949923679758e-06
540.9999985196766372.96064672695228e-061.48032336347614e-06
550.9999996606825566.78634888957171e-073.39317444478586e-07
560.9999996177511437.64497714071755e-073.82248857035877e-07
570.999999518674019.62651978943109e-074.81325989471555e-07
580.9999999993925631.21487312260248e-096.07436561301238e-10
590.9999999989298042.14039279490924e-091.07019639745462e-09
600.9999999981304783.73904384797412e-091.86952192398706e-09
610.9999999979545744.09085246711442e-092.04542623355721e-09
620.9999999991878141.62437234518552e-098.12186172592759e-10
630.9999999985294172.941166016032e-091.470583008016e-09
640.9999999973811815.23763773535247e-092.61881886767623e-09
650.999999997439845.120319448545e-092.5601597242725e-09
660.9999999964746977.05060595645928e-093.52530297822964e-09
670.9999999947911441.04177122521364e-085.20885612606822e-09
680.9999999916052621.67894764998278e-088.39473824991388e-09
690.9999999857839642.84320725078792e-081.42160362539396e-08
700.9999999984125733.17485332223185e-091.58742666111592e-09
710.9999999976821994.63560224388501e-092.31780112194251e-09
720.9999999967774366.44512754435515e-093.22256377217758e-09
730.9999999987382212.52355767583076e-091.26177883791538e-09
740.99999999814793.70420057459309e-091.85210028729654e-09
750.9999999969240846.15183254979512e-093.07591627489756e-09
760.9999999948432851.0313429248501e-085.15671462425049e-09
770.9999999929925771.40148466052416e-087.00742330262082e-09
780.9999999890159852.19680293207652e-081.09840146603826e-08
790.9999999886355222.2728956843159e-081.13644784215795e-08
800.9999999813946163.72107679768566e-081.86053839884283e-08
810.9999999705086385.89827239327051e-082.94913619663525e-08
820.9999999546642879.06714265429552e-084.53357132714776e-08
830.999999944371941.11256119561521e-075.56280597807607e-08
840.9999999097569071.80486185973524e-079.02430929867619e-08
850.9999999459919311.08016138768212e-075.40080693841059e-08
860.9999999185690611.62861877125563e-078.14309385627817e-08
870.9999998781153612.43769278662617e-071.21884639331308e-07
880.9999998750405932.49918814802248e-071.24959407401124e-07
890.9999998584343592.83131282646687e-071.41565641323344e-07
900.9999999132214791.73557041193558e-078.67785205967791e-08
910.9999999505698049.88603916837272e-084.94301958418636e-08
920.9999999418674121.16265176634325e-075.81325883171623e-08
930.9999999734133985.31732050125276e-082.65866025062638e-08
940.9999999856542542.86914919989331e-081.43457459994665e-08
950.9999999879684892.40630219405096e-081.20315109702548e-08
960.9999999807997063.84005877432499e-081.9200293871625e-08
970.9999999688686816.22626380362415e-083.11313190181208e-08
980.9999999991117971.7764057140089e-098.88202857004452e-10
990.9999999985027262.99454748524265e-091.49727374262133e-09
1000.9999999988878882.22422420280027e-091.11211210140014e-09
1010.9999999982102323.57953611828533e-091.78976805914267e-09
1020.9999999990257661.94846831929193e-099.74234159645963e-10
1030.9999999984251333.14973469687435e-091.57486734843717e-09
1040.9999999975343294.93134119497676e-092.46567059748838e-09
1050.9999999978749294.25014151496105e-092.12507075748052e-09
1060.9999999984327013.134597097711e-091.5672985488555e-09
1070.9999999973887415.22251724155501e-092.61125862077751e-09
1080.9999999956753858.6492304580416e-094.3246152290208e-09
1090.9999999939366751.21266500070864e-086.06332500354319e-09
1100.9999999914243821.71512362192033e-088.57561810960164e-09
1110.999999987949552.41009005095389e-081.20504502547694e-08
1120.9999999818571333.62857342368028e-081.81428671184014e-08
1130.9999999712211015.75577974707099e-082.8778898735355e-08
1140.9999999535275259.29449494026846e-084.64724747013423e-08
1150.9999999275056561.44988688644709e-077.24943443223543e-08
1160.9999999734663395.30673228008036e-082.65336614004018e-08
1170.9999999594235728.11528558445348e-084.05764279222674e-08
1180.9999999439676581.12064684967236e-075.60323424836182e-08
1190.999999915727851.68544299571855e-078.42721497859276e-08
1200.9999998741597862.51680427923169e-071.25840213961585e-07
1210.9999998019473113.96105377585781e-071.98052688792891e-07
1220.9999998709346792.5813064164464e-071.2906532082232e-07
1230.9999998042055843.91588832474624e-071.95794416237312e-07
1240.9999997119611665.76077667824828e-072.88038833912414e-07
1250.9999999241106191.51778762675869e-077.58893813379344e-08
1260.9999999187165411.6256691765354e-078.12834588267699e-08
1270.9999998858164542.28367091202125e-071.14183545601063e-07
1280.9999998626404622.74719075131626e-071.37359537565813e-07
1290.9999999256103011.48779397458951e-077.43896987294757e-08
1300.999999882257122.35485759954488e-071.17742879977244e-07
1310.9999998147246153.70550769490341e-071.8527538474517e-07
1320.9999997548654954.90269010829016e-072.45134505414508e-07
1330.9999996977433486.0451330433969e-073.02256652169845e-07
1340.9999998928418862.14316228919742e-071.07158114459871e-07
1350.9999998445551843.10889632492786e-071.55444816246393e-07
1360.9999997687093754.62581249535749e-072.31290624767875e-07
1370.9999996410045977.17990805738379e-073.58995402869189e-07
1380.99999947304781.05390440047724e-065.26952200238621e-07
1390.9999992684219221.4631561564312e-067.31578078215601e-07
1400.9999989407902752.11841944981167e-061.05920972490584e-06
1410.9999986903675312.61926493830147e-061.30963246915074e-06
1420.9999980255899163.94882016829826e-061.97441008414913e-06
1430.9999970398138785.92037224364953e-062.96018612182476e-06
1440.9999962765321167.4469357672521e-063.72346788362605e-06
1450.9999952218053389.55638932370996e-064.77819466185498e-06
1460.9999938030689731.23938620530449e-056.19693102652245e-06
1470.9999936775700381.26448599236444e-056.32242996182219e-06
1480.9999927452876881.45094246240293e-057.25471231201464e-06
1490.9999907338628561.8532274288773e-059.26613714438652e-06
1500.9999864047476772.71905046455404e-051.35952523227702e-05
1510.9999806571776913.8685644617489e-051.93428223087445e-05
1520.999977588932654.48221346996678e-052.24110673498339e-05
1530.9999718394607625.63210784761476e-052.81605392380738e-05
1540.9999820407282493.59185435026774e-051.79592717513387e-05
1550.9999877022529532.45954940931103e-051.22977470465551e-05
1560.9999884867362142.30265275724804e-051.15132637862402e-05
1570.9999866992337762.6601532448595e-051.33007662242975e-05
1580.9999825801950083.48396099835523e-051.74198049917762e-05
1590.9999795017586624.09964826769409e-052.04982413384705e-05
1600.9999879821622092.40356755829664e-051.20178377914832e-05
1610.9999855054169752.89891660508837e-051.44945830254418e-05
1620.9999800100526593.99798946825927e-051.99899473412963e-05
1630.999971606947995.67861040203282e-052.83930520101641e-05
1640.9999991971301651.60573966953574e-068.02869834767868e-07
1650.9999993374375851.32512482984779e-066.62562414923895e-07
1660.99999962268127.54637599764957e-073.77318799882478e-07
1670.999999429681681.14063664078783e-065.70318320393913e-07
1680.9999991195253421.7609493163876e-068.80474658193798e-07
1690.9999996356157647.28768471755095e-073.64384235877548e-07
1700.9999997999291164.00141767316852e-072.00070883658426e-07
1710.9999999973899395.22012092516017e-092.61006046258008e-09
1720.9999999969289796.1420414023792e-093.0710207011896e-09
1730.999999998540642.91872022783718e-091.45936011391859e-09
1740.9999999987390962.5218086885181e-091.26090434425905e-09
1750.9999999978425114.31497709153161e-092.15748854576581e-09
1760.9999999996808066.38387978849087e-103.19193989424544e-10
1770.9999999999760264.79480788433677e-112.39740394216839e-11
1780.9999999999550958.98100442835504e-114.49050221417752e-11
1790.9999999999666926.66170384467231e-113.33085192233616e-11
1800.9999999999627517.44977902907651e-113.72488951453825e-11
1810.9999999999430271.13945541774487e-105.69727708872437e-11
1820.9999999999575788.48435407887114e-114.24217703943557e-11
1830.9999999999222391.55522202026288e-107.77611010131438e-11
1840.9999999998542712.91457313900386e-101.45728656950193e-10
1850.9999999998009193.9816275034187e-101.99081375170935e-10
1860.9999999996335917.32818460321685e-103.66409230160843e-10
1870.999999999532999.34019547405848e-104.67009773702924e-10
1880.9999999991845291.6309416861018e-098.15470843050901e-10
1890.9999999989739292.05214193235992e-091.02607096617996e-09
1900.999999998946612.10677999048307e-091.05338999524154e-09
1910.9999999985531092.89378192481517e-091.44689096240759e-09
1920.9999999993018951.39621051098227e-096.98105255491136e-10
1930.9999999987278932.54421406601332e-091.27210703300666e-09
1940.9999999998125963.74808682447282e-101.87404341223641e-10
1950.9999999996895276.20945019740514e-103.10472509870257e-10
1960.9999999994436221.11275549692555e-095.56377748462777e-10
1970.999999999697786.04440627301957e-103.02220313650979e-10
1980.9999999994313171.13736666065481e-095.68683330327405e-10
1990.9999999999601527.96963701423783e-113.98481850711891e-11
2000.999999999922991.54020730834645e-107.70103654173227e-11
2010.9999999998906212.18758223849324e-101.09379111924662e-10
2020.9999999998371263.25747098311647e-101.62873549155823e-10
2030.9999999996883886.23223585236573e-103.11611792618286e-10
2040.9999999994598111.08037736134769e-095.40188680673846e-10
2050.9999999996977326.04535511892301e-103.0226775594615e-10
2060.9999999994139681.17206371819879e-095.86031859099393e-10
2070.9999999988804222.23915515783374e-091.11957757891687e-09
2080.9999999983840933.23181341061208e-091.61590670530604e-09
2090.9999999969504326.09913582966882e-093.04956791483441e-09
2100.9999999956560838.68783367770232e-094.34391683885116e-09
2110.9999999918037571.6392485963082e-088.19624298154101e-09
2120.9999999868171072.63657852047963e-081.31828926023982e-08
2130.9999999788424184.23151646960034e-082.11575823480017e-08
2140.9999999627540667.44918683271801e-083.72459341635901e-08
2150.9999999838335223.23329552190381e-081.61664776095191e-08
2160.9999999695372716.09254576399403e-083.04627288199702e-08
2170.9999999788931864.22136271777216e-082.11068135888608e-08
2180.9999999794986564.10026888105471e-082.05013444052736e-08
2190.9999999688846916.22306172572307e-083.11153086286154e-08
2200.9999999482890411.03421918326037e-075.17109591630183e-08
2210.9999999502489659.95020704862873e-084.97510352431437e-08
2220.9999999273449961.45310008854272e-077.26550044271361e-08
2230.9999999674674716.50650582090796e-083.25325291045398e-08
2240.9999999539483989.21032037242961e-084.60516018621481e-08
2250.9999999287525441.424949114835e-077.12474557417501e-08
2260.9999998730683492.53863301091962e-071.26931650545981e-07
2270.9999998183451273.63309746659148e-071.81654873329574e-07
2280.9999997052238195.89552362453252e-072.94776181226626e-07
2290.9999995259377379.48124525952137e-074.74062262976069e-07
2300.9999997266165515.46766898101243e-072.73383449050621e-07
2310.9999994797869951.04042601072994e-065.20213005364969e-07
2320.9999990272337481.94553250348022e-069.72766251740108e-07
2330.9999999389053631.22189273265338e-076.1094636632669e-08
2340.9999998783320812.43335838435653e-071.21667919217827e-07
2350.9999998547098022.90580396237535e-071.45290198118768e-07
2360.9999997541041484.91791704713445e-072.45895852356722e-07
2370.9999995258621319.48275738838982e-074.74137869419491e-07
2380.9999990870026951.82599460971904e-069.12997304859521e-07
2390.9999986369013962.72619720792263e-061.36309860396131e-06
2400.999997895362134.20927574017739e-062.1046378700887e-06
2410.9999959870178378.02596432508096e-064.01298216254048e-06
2420.9999976315560714.73688785735105e-062.36844392867552e-06
2430.9999966322573686.73548526403675e-063.36774263201838e-06
2440.9999937646422621.24707154763333e-056.23535773816665e-06
2450.9999883361487222.33277025564897e-051.16638512782449e-05
2460.9999895889746852.08220506290944e-051.04110253145472e-05
2470.9999907228133241.85543733523367e-059.27718667616836e-06
2480.9999882807341142.34385317725225e-051.17192658862612e-05
2490.9999778261388324.43477223362759e-052.21738611681379e-05
2500.9999755172560774.89654878469223e-052.44827439234611e-05
2510.9999526266847499.47466305013697e-054.73733152506849e-05
2520.999924094494820.0001518110103596917.59055051798454e-05
2530.999874289160790.0002514216784200980.000125710839210049
2540.9997643813724580.0004712372550844720.000235618627542236
2550.9999762515539734.74968920545874e-052.37484460272937e-05
2560.9999605416614187.8916677163765e-053.94583385818825e-05
2570.9999357637975520.0001284724048952646.42362024476321e-05
2580.9998712632663780.0002574734672434820.000128736733621741
2590.999900586167940.0001988276641207159.94138320603577e-05
2600.9998519956474830.0002960087050333330.000148004352516667
2610.9997284908009690.0005430183980618220.000271509199030911
2620.9999186534048860.0001626931902278678.13465951139337e-05
2630.9998179166655040.000364166668992160.00018208333449608
2640.9996026036298650.0007947927402697540.000397396370134877
2650.9992341814538080.00153163709238330.000765818546191648
2660.9984579636573830.003084072685233370.00154203634261669
2670.9971016417217120.005796716556576190.0028983582782881
2680.9942845154488620.01143096910227630.00571548455113813
2690.9994615016817950.001076996636409180.000538498318204588
2700.9997432135225620.0005135729548759550.000256786477437978
2710.9995107806436930.0009784387126134830.000489219356306742
2720.9986673949681970.002665210063605070.00133260503180253
2730.9992602955131810.001479408973638870.000739704486819436
2740.9979414940148370.004117011970325930.00205850598516296
2750.9966482458759350.00670350824812920.0033517541240646
2760.9900381251981890.01992374960362240.00996187480181121
2770.9926693622280970.01466127554380580.0073306377719029
2780.9762946374171320.04741072516573520.0237053625828676
2790.9274642838999220.1450714322001570.0725357161000783







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2300.851851851851852NOK
5% type I error level2480.918518518518519NOK
10% type I error level2620.97037037037037NOK

\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 & 230 & 0.851851851851852 & NOK \tabularnewline
5% type I error level & 248 & 0.918518518518519 & NOK \tabularnewline
10% type I error level & 262 & 0.97037037037037 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=190244&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]230[/C][C]0.851851851851852[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]248[/C][C]0.918518518518519[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]262[/C][C]0.97037037037037[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=190244&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=190244&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 level2300.851851851851852NOK
5% type I error level2480.918518518518519NOK
10% type I error level2620.97037037037037NOK



Parameters (Session):
par1 = 3 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 3 ; 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')
}