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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationThu, 22 Dec 2011 15:38:03 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/22/t1324586354sqmylnd4lrdnk35.htm/, Retrieved Fri, 03 May 2024 07:37:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=159960, Retrieved Fri, 03 May 2024 07:37:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact94

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [] [2010-12-05 17:44:33] [b98453cac15ba1066b407e146608df68]
- RMPD  [Kendall tau Correlation Matrix] [Paper: Hall of Fa...] [2011-12-22 19:51:56] [c6bc82f3e3d78f4e6e841dae94c52ed9]
-   P     [Kendall tau Correlation Matrix] [Paper: Hall of Fa...] [2011-12-22 19:55:27] [c6bc82f3e3d78f4e6e841dae94c52ed9]
- RM D        [Multiple Regression] [Paper: Hall of Fa...] [2011-12-22 20:38:03] [d7127d50f40450f0f3837a0965e389eb] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
210907	79	30	115	94	112285	24188	146283	144	145
120982	58	28	109	103	84786	18273	98364	103	101
176508	60	38	146	93	83123	14130	86146	98	98
179321	108	30	116	103	101193	32287	96933	135	132
123185	49	22	68	51	38361	8654	79234	61	60
52746	0	26	101	70	68504	9245	42551	39	38
385534	121	25	96	91	119182	33251	195663	150	144
33170	1	18	67	22	22807	1271	6853	5	5
101645	20	11	44	38	17140	5279	21529	28	28
149061	43	26	100	93	116174	27101	95757	84	84
165446	69	25	93	60	57635	16373	85584	80	79
237213	78	38	140	123	66198	19716	143983	130	127
173326	86	44	166	148	71701	17753	75851	82	78
133131	44	30	99	90	57793	9028	59238	60	60
258873	104	40	139	124	80444	18653	93163	131	131
180083	63	34	130	70	53855	8828	96037	84	84
324799	158	47	181	168	97668	29498	151511	140	133
230964	102	30	116	115	133824	27563	136368	151	150
236785	77	31	116	71	101481	18293	112642	91	91
135473	82	23	88	66	99645	22530	94728	138	132
202925	115	36	139	134	114789	15977	105499	150	136
215147	101	36	135	117	99052	35082	121527	124	124
344297	80	30	108	108	67654	16116	127766	119	118
153935	50	25	89	84	65553	15849	98958	73	70
132943	83	39	156	156	97500	16026	77900	110	107
174724	123	34	129	120	69112	26569	85646	123	119
174415	73	31	118	114	82753	24785	98579	90	89
225548	81	31	118	94	85323	17569	130767	116	112
223632	105	33	125	120	72654	23825	131741	113	108
124817	47	25	95	81	30727	7869	53907	56	52
221698	105	33	126	110	77873	14975	178812	115	112
210767	94	35	135	133	117478	37791	146761	119	116
170266	44	42	154	122	74007	9605	82036	129	123
260561	114	43	165	158	90183	27295	163253	127	125
84853	38	30	113	109	61542	2746	27032	27	27
294424	107	33	127	124	101494	34461	171975	175	162
101011	30	13	52	39	27570	8098	65990	35	32
215641	71	32	121	92	55813	4787	86572	64	64
325107	84	36	136	126	79215	24919	159676	96	92
7176	0	0	0	0	1423	603	1929	0	0
167542	59	28	108	70	55461	16329	85371	84	83
106408	33	14	46	37	31081	12558	58391	41	41
96560	42	17	54	38	22996	7784	31580	47	47
265769	96	32	124	120	83122	28522	136815	126	120
269651	106	30	115	93	70106	22265	120642	105	105
149112	56	35	128	95	60578	14459	69107	80	79
175824	57	20	80	77	39992	14526	50495	70	65
152871	59	28	97	90	79892	22240	108016	73	70
111665	39	28	104	80	49810	11802	46341	57	55
116408	34	39	59	31	71570	7623	78348	40	39
362301	76	34	125	110	100708	11912	79336	68	67
78800	20	26	82	66	33032	7935	56968	21	21
183167	91	39	149	138	82875	18220	93176	127	127
277965	115	39	149	133	139077	19199	161632	154	152
150629	85	33	122	113	71595	19918	87850	116	113
168809	76	28	118	100	72260	21884	127969	102	99
24188	8	4	12	7	5950	2694	15049	7	7
329267	79	39	144	140	115762	15808	155135	148	141
65029	21	18	67	61	32551	3597	25109	21	21
101097	30	14	52	41	31701	5296	45824	35	35
218946	76	29	108	96	80670	25239	102996	112	109
244052	101	44	166	164	143558	29801	160604	137	133
341570	94	21	80	78	117105	18450	158051	135	123
103597	27	16	60	49	23789	7132	44547	26	26
233328	92	28	107	102	120733	34861	162647	230	230
256462	123	35	127	124	105195	35940	174141	181	166
206161	75	28	107	99	73107	16688	60622	71	68
311473	128	38	146	129	132068	24683	179566	147	147
235800	105	23	84	62	149193	46230	184301	190	179
177939	55	36	141	73	46821	10387	75661	64	61
207176	56	32	123	114	87011	21436	96144	105	101
196553	41	29	111	99	95260	30546	129847	107	108
174184	72	25	98	70	55183	19746	117286	94	90
143246	67	27	105	104	106671	15977	71180	116	114
187559	75	36	135	116	73511	22583	109377	106	103
187681	114	28	107	91	92945	17274	85298	143	142
119016	118	23	85	74	78664	16469	73631	81	79
182192	77	40	155	138	70054	14251	86767	89	88
73566	22	23	88	67	22618	3007	23824	26	25
194979	66	40	155	151	74011	16851	93487	84	83
167488	69	28	104	72	83737	21113	82981	113	113
143756	105	34	132	120	69094	17401	73815	120	118
275541	116	33	127	115	93133	23958	94552	110	110
243199	88	28	108	105	95536	23567	132190	134	129
182999	73	34	129	104	225920	13065	128754	54	51
135649	99	30	116	108	62133	15358	66363	96	93
152299	62	33	122	98	61370	14587	67808	78	76
120221	53	22	85	69	43836	12770	61724	51	49
346485	118	38	147	111	106117	24021	131722	121	118
145790	30	26	99	99	38692	9648	68580	38	38
193339	100	35	87	71	84651	20537	106175	145	141
80953	49	8	28	27	56622	7905	55792	59	58
122774	24	24	90	69	15986	4527	25157	27	27
130585	67	29	109	107	95364	30495	76669	91	91
112611	46	20	78	73	26706	7117	57283	48	48
286468	57	29	111	107	89691	17719	105805	68	63
241066	75	45	158	93	67267	27056	129484	58	56
148446	135	37	141	129	126846	33473	72413	150	144
204713	68	33	122	69	41140	9758	87831	74	73
182079	124	33	124	118	102860	21115	96971	181	168
140344	33	25	93	73	51715	7236	71299	65	64
220516	98	32	124	119	55801	13790	77494	97	97
243060	58	29	112	104	111813	32902	120336	121	117
162765	68	28	108	107	120293	25131	93913	99	100
182613	81	28	99	99	138599	30910	136048	152	149
232138	131	31	117	90	161647	35947	181248	188	187
265318	110	52	199	197	115929	29848	146123	138	127
85574	37	21	78	36	24266	6943	32036	40	37
310839	130	24	91	85	162901	42705	186646	254	245
225060	93	41	158	139	109825	31808	102255	87	87
232317	118	33	126	106	129838	26675	168237	178	177
144966	39	32	122	50	37510	8435	64219	51	49
43287	13	19	71	64	43750	7409	19630	49	49
155754	74	20	75	31	40652	14993	76825	73	73
164709	81	31	115	63	87771	36867	115338	176	177
201940	109	31	119	92	85872	33835	109427	94	94
235454	151	32	124	106	89275	24164	118168	120	117
220801	51	18	72	63	44418	12607	84845	66	60
99466	28	23	91	69	192565	22609	153197	56	55
92661	40	17	45	41	35232	5892	29877	39	39
133328	56	20	78	56	40909	17014	63506	66	64
61361	27	12	39	25	13294	5394	22445	27	26
125930	37	17	68	65	32387	9178	47695	65	64
100750	83	30	119	93	140867	6440	68370	58	58
224549	54	31	117	114	120662	21916	146304	98	95
82316	27	10	39	38	21233	4011	38233	25	25
102010	28	13	50	44	44332	5818	42071	26	26
101523	59	22	88	87	61056	18647	50517	77	76
243511	133	42	155	110	101338	20556	103950	130	129
22938	12	1	0	0	1168	238	5841	11	11
41566	0	9	36	27	13497	70	2341	2	2
152474	106	32	123	83	65567	22392	84396	101	101
61857	23	11	32	30	25162	3913	24610	31	28
99923	44	25	99	80	32334	12237	35753	36	36
132487	71	36	136	98	40735	8388	55515	120	89
317394	116	31	117	82	91413	22120	209056	195	193
21054	4	0	0	0	855	338	6622	4	4
209641	62	24	88	60	97068	11727	115814	89	84
22648	12	13	39	28	44339	3704	11609	24	23
31414	18	8	25	9	14116	3988	13155	39	39
46698	14	13	52	33	10288	3030	18274	14	14
131698	60	19	75	59	65622	13520	72875	78	78
91735	7	18	71	49	16563	1421	10112	15	14
244749	98	33	124	115	76643	20923	142775	106	101
184510	64	40	151	140	110681	20237	68847	83	82
79863	29	22	71	49	29011	3219	17659	24	24
128423	32	38	145	120	92696	3769	20112	37	36
97839	25	24	87	66	94785	12252	61023	77	75
38214	16	8	27	21	8773	1888	13983	16	16
151101	48	35	131	124	83209	14497	65176	56	55
272458	100	43	162	152	93815	28864	132432	132	131
172494	46	43	165	139	86687	21721	112494	144	131
108043	45	14	54	38	34553	4821	45109	40	39
328107	129	41	159	144	105547	33644	170875	153	144
250579	130	38	147	120	103487	15923	180759	143	139
351067	136	45	170	160	213688	42935	214921	220	211
158015	59	31	119	114	71220	18864	100226	79	78
98866	25	13	49	39	23517	4977	32043	50	50
85439	32	28	104	78	56926	7785	54454	39	39
229242	63	31	120	119	91721	17939	78876	95	90
351619	95	40	150	141	115168	23436	170745	169	166
84207	14	30	112	101	111194	325	6940	12	12
120445	36	16	59	56	51009	13539	49025	63	57
324598	113	37	136	133	135777	34538	122037	134	133
131069	47	30	107	83	51513	12198	53782	69	69
204271	92	35	130	116	74163	26924	127748	119	119
165543	70	32	115	90	51633	12716	86839	119	119
141722	19	27	107	36	75345	8172	44830	75	65
116048	50	20	75	50	33416	10855	77395	63	61
250047	41	18	71	61	83305	11932	89324	55	49
299775	91	31	120	97	98952	14300	103300	103	101
195838	111	31	116	98	102372	25515	112283	197	196
173260	41	21	79	78	37238	2805	10901	16	15
254488	120	39	150	117	103772	29402	120691	140	136
104389	135	41	156	148	123969	16440	58106	89	89
136084	27	13	51	41	27142	11221	57140	40	40
199476	87	32	118	105	135400	28732	122422	125	123
92499	25	18	71	55	21399	5250	25899	21	21
224330	131	39	144	132	130115	28608	139296	167	163
135781	45	14	47	44	24874	8092	52678	32	29
74408	29	7	28	21	34988	4473	23853	36	35
81240	58	17	68	50	45549	1572	17306	13	13
14688	4	0	0	0	6023	2065	7953	5	5
181633	47	30	110	73	64466	14817	89455	96	96
271856	109	37	147	86	54990	16714	147866	151	151
7199	7	0	0	0	1644	556	4245	6	6
46660	12	5	15	13	6179	2089	21509	13	13
17547	0	1	4	4	3926	2658	7670	3	3
133368	37	16	64	57	32755	10695	66675	57	56
95227	37	32	111	48	34777	1669	14336	23	23
152601	46	24	85	46	73224	16267	53608	61	57
98146	15	17	68	48	27114	7768	30059	21	14
79619	42	11	40	32	20760	7252	29668	43	43
59194	7	24	80	68	37636	6387	22097	20	20
139942	54	22	88	87	65461	18715	96841	82	72
118612	54	12	48	43	30080	7936	41907	90	87
72880	14	19	76	67	24094	8643	27080	25	21
65475	16	13	51	46	69008	7294	35885	60	56
99643	33	17	67	46	54968	4570	41247	61	59
71965	32	15	59	56	46090	7185	28313	85	82
77272	21	16	61	48	27507	10058	36845	43	43
49289	15	24	76	44	10672	2342	16548	25	25
135131	38	15	60	60	34029	8509	36134	41	38
108446	22	17	68	65	46300	13275	55764	26	25
89746	28	18	71	55	24760	6816	28910	38	38
44296	10	20	76	38	18779	1930	13339	12	12
77648	31	16	62	52	21280	8086	25319	29	29
181528	32	16	61	60	40662	10737	66956	49	47
134019	32	18	67	54	28987	8033	47487	46	45
124064	43	22	88	86	22827	7058	52785	41	40
92630	27	8	30	24	18513	6782	44683	31	30
121848	37	17	64	52	30594	5401	35619	41	41
52915	20	18	68	49	24006	6521	21920	26	25
81872	32	16	64	61	27913	10856	45608	23	23
58981	0	23	91	61	42744	2154	7721	14	14
53515	5	22	88	81	12934	6117	20634	16	16
60812	26	13	52	43	22574	5238	29788	25	26
56375	10	13	49	40	41385	4820	31931	21	21
65490	27	16	62	40	18653	5615	37754	32	27
80949	11	16	61	56	18472	4272	32505	9	9
76302	29	20	76	68	30976	8702	40557	35	33
104011	25	22	88	79	63339	15340	94238	42	42
98104	55	17	66	47	25568	8030	44197	68	68
67989	23	18	71	57	33747	9526	43228	32	32
30989	5	17	68	41	4154	1278	4103	6	6
135458	43	12	48	29	19474	4236	44144	68	67
73504	23	7	25	3	35130	3023	32868	33	33
63123	34	17	68	60	39067	7196	27640	84	77
61254	36	14	41	30	13310	3394	14063	46	46
74914	35	23	90	79	65892	6371	28990	30	30
31774	0	17	66	47	4143	1574	4694	0	0
81437	37	14	54	40	28579	9620	42648	36	36
87186	28	15	59	48	51776	6978	64329	47	46
50090	16	17	60	36	21152	4911	21928	20	18
65745	26	21	77	42	38084	8645	25836	50	48
56653	38	18	68	49	27717	8987	22779	30	29
158399	23	18	72	57	32928	5544	40820	30	28
46455	22	17	67	12	11342	3083	27530	34	34
73624	30	17	64	40	19499	6909	32378	33	33
38395	16	16	63	43	16380	3189	10824	34	34
91899	18	15	59	33	36874	6745	39613	37	33
139526	28	21	84	77	48259	16724	60865	83	80
52164	32	16	64	43	16734	4850	19787	32	32
51567	21	14	56	45	28207	7025	20107	30	30
70551	23	15	54	47	30143	6047	36605	43	41
84856	29	17	67	43	41369	7377	40961	41	41
102538	50	15	58	45	45833	9078	48231	51	51
86678	12	15	59	50	29156	4605	39725	19	18
85709	21	10	40	35	35944	3238	21455	37	34
34662	18	6	22	7	36278	8100	23430	33	31
150580	27	22	83	71	45588	9653	62991	41	39
99611	41	21	81	67	45097	8914	49363	54	54
19349	13	1	2	0	3895	786	9604	14	14
99373	12	18	72	62	28394	6700	24552	25	24
86230	21	17	61	54	18632	5788	31493	25	24
30837	8	4	15	4	2325	593	3439	8	8
31706	26	10	32	25	25139	4506	19555	26	26
89806	27	16	62	40	27975	6382	21228	20	19
62088	13	16	58	38	14483	5621	23177	11	11
40151	16	9	36	19	13127	3997	22094	14	14
27634	2	16	59	17	5839	520	2342	3	1
76990	42	17	68	67	24069	8891	38798	40	39
37460	5	7	21	14	3738	999	3255	5	5
54157	37	15	55	30	18625	7067	24261	38	37
49862	17	14	54	54	36341	4639	18511	32	32
84337	38	14	55	35	24548	5654	40798	41	38
64175	37	18	72	59	21792	6928	28893	46	47
59382	29	12	41	24	26263	1514	21425	47	47
119308	32	16	61	58	23686	9238	50276	37	37
76702	35	21	67	42	49303	8204	37643	51	51
103425	17	19	76	46	25659	5926	30377	49	45
70344	20	16	64	61	28904	5785	27126	21	21
43410	7	1	3	3	2781	4	13	1	1
104838	46	16	63	52	29236	5930	42097	44	42
62215	24	10	40	25	19546	3710	24451	26	26
69304	40	19	69	40	22818	705	14335	21	21
53117	3	12	48	32	32689	443	5084	4	4
19764	10	2	8	4	5752	2416	9927	10	10
86680	37	14	52	49	22197	7747	43527	43	43
84105	17	17	66	63	20055	5432	27184	34	34
77945	28	19	76	67	25272	4913	21610	32	31
89113	19	14	43	32	82206	2650	20484	20	19
91005	29	11	39	23	32073	2370	20156	34	34
40248	8	4	14	7	5444	775	6012	6	6
64187	10	16	61	54	20154	5576	18475	12	11
50857	15	20	71	37	36944	1352	12645	24	24
56613	15	12	44	35	8019	3080	11017	16	16
62792	28	15	60	51	30884	10205	37623	72	72
72535	17	16	64	39	19540	6095	35873	27	21

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time11 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 11 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159960&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]11 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159960&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159960&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time11 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Noc[t] = + 1124.54616302967 -0.0560179891929107TiRFC[t] -28.3534328242008NoBC[t] + 1017.72333412431NoRC[t] -206.394039914661FMPR[t] + 256.640898964158`FMPR+`[t] + 0.886745767672086NoR[t] + 0.330200144073104NoS[t] -96.5142858048008NoiH[t] + 217.447128297017NoiB[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Noc[t] =  +  1124.54616302967 -0.0560179891929107TiRFC[t] -28.3534328242008NoBC[t] +  1017.72333412431NoRC[t] -206.394039914661FMPR[t] +  256.640898964158`FMPR+`[t] +  0.886745767672086NoR[t] +  0.330200144073104NoS[t] -96.5142858048008NoiH[t] +  217.447128297017NoiB[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159960&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Noc[t] =  +  1124.54616302967 -0.0560179891929107TiRFC[t] -28.3534328242008NoBC[t] +  1017.72333412431NoRC[t] -206.394039914661FMPR[t] +  256.640898964158`FMPR+`[t] +  0.886745767672086NoR[t] +  0.330200144073104NoS[t] -96.5142858048008NoiH[t] +  217.447128297017NoiB[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159960&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159960&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Estimated Regression Equation
Noc[t] = + 1124.54616302967 -0.0560179891929107TiRFC[t] -28.3534328242008NoBC[t] + 1017.72333412431NoRC[t] -206.394039914661FMPR[t] + 256.640898964158`FMPR+`[t] + 0.886745767672086NoR[t] + 0.330200144073104NoS[t] -96.5142858048008NoiH[t] + 217.447128297017NoiB[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)1124.546163029673113.2269890.36120.7182120.359106
TiRFC-0.05601798919291070.036891-1.51850.1300310.065015
NoBC-28.353432824200881.372467-0.34840.7277720.363886
NoRC1017.72333412431652.7039071.55920.1200730.060036
FMPR-206.394039914661197.963804-1.04260.2980430.149022
`FMPR+`256.64089896415897.7732242.62490.0091460.004573
NoR0.8867457676720860.2960462.99530.0029880.001494
NoS0.3302001440731040.0756354.36571.8e-059e-06
NoiH-96.5142858048008413.333272-0.23350.8155430.407771
NoiB217.447128297017428.3895440.50760.612140.30607

\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) & 1124.54616302967 & 3113.226989 & 0.3612 & 0.718212 & 0.359106 \tabularnewline
TiRFC & -0.0560179891929107 & 0.036891 & -1.5185 & 0.130031 & 0.065015 \tabularnewline
NoBC & -28.3534328242008 & 81.372467 & -0.3484 & 0.727772 & 0.363886 \tabularnewline
NoRC & 1017.72333412431 & 652.703907 & 1.5592 & 0.120073 & 0.060036 \tabularnewline
FMPR & -206.394039914661 & 197.963804 & -1.0426 & 0.298043 & 0.149022 \tabularnewline
`FMPR+` & 256.640898964158 & 97.773224 & 2.6249 & 0.009146 & 0.004573 \tabularnewline
NoR & 0.886745767672086 & 0.296046 & 2.9953 & 0.002988 & 0.001494 \tabularnewline
NoS & 0.330200144073104 & 0.075635 & 4.3657 & 1.8e-05 & 9e-06 \tabularnewline
NoiH & -96.5142858048008 & 413.333272 & -0.2335 & 0.815543 & 0.407771 \tabularnewline
NoiB & 217.447128297017 & 428.389544 & 0.5076 & 0.61214 & 0.30607 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159960&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]1124.54616302967[/C][C]3113.226989[/C][C]0.3612[/C][C]0.718212[/C][C]0.359106[/C][/ROW]
[ROW][C]TiRFC[/C][C]-0.0560179891929107[/C][C]0.036891[/C][C]-1.5185[/C][C]0.130031[/C][C]0.065015[/C][/ROW]
[ROW][C]NoBC[/C][C]-28.3534328242008[/C][C]81.372467[/C][C]-0.3484[/C][C]0.727772[/C][C]0.363886[/C][/ROW]
[ROW][C]NoRC[/C][C]1017.72333412431[/C][C]652.703907[/C][C]1.5592[/C][C]0.120073[/C][C]0.060036[/C][/ROW]
[ROW][C]FMPR[/C][C]-206.394039914661[/C][C]197.963804[/C][C]-1.0426[/C][C]0.298043[/C][C]0.149022[/C][/ROW]
[ROW][C]`FMPR+`[/C][C]256.640898964158[/C][C]97.773224[/C][C]2.6249[/C][C]0.009146[/C][C]0.004573[/C][/ROW]
[ROW][C]NoR[/C][C]0.886745767672086[/C][C]0.296046[/C][C]2.9953[/C][C]0.002988[/C][C]0.001494[/C][/ROW]
[ROW][C]NoS[/C][C]0.330200144073104[/C][C]0.075635[/C][C]4.3657[/C][C]1.8e-05[/C][C]9e-06[/C][/ROW]
[ROW][C]NoiH[/C][C]-96.5142858048008[/C][C]413.333272[/C][C]-0.2335[/C][C]0.815543[/C][C]0.407771[/C][/ROW]
[ROW][C]NoiB[/C][C]217.447128297017[/C][C]428.389544[/C][C]0.5076[/C][C]0.61214[/C][C]0.30607[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159960&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159960&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)1124.546163029673113.2269890.36120.7182120.359106
TiRFC-0.05601798919291070.036891-1.51850.1300310.065015
NoBC-28.353432824200881.372467-0.34840.7277720.363886
NoRC1017.72333412431652.7039071.55920.1200730.060036
FMPR-206.394039914661197.963804-1.04260.2980430.149022
`FMPR+`256.64089896415897.7732242.62490.0091460.004573
NoR0.8867457676720860.2960462.99530.0029880.001494
NoS0.3302001440731040.0756354.36571.8e-059e-06
NoiH-96.5142858048008413.333272-0.23350.8155430.407771
NoiB217.447128297017428.3895440.50760.612140.30607






Multiple Linear Regression - Regression Statistics
Multiple R0.864773114450981
R-squared0.74783253947725
Adjusted R-squared0.739698105266839
F-TEST (value)91.9341800711964
F-TEST (DF numerator)9
F-TEST (DF denominator)279
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation20624.4583874248
Sum Squared Residuals118677751173.118

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.864773114450981 \tabularnewline
R-squared & 0.74783253947725 \tabularnewline
Adjusted R-squared & 0.739698105266839 \tabularnewline
F-TEST (value) & 91.9341800711964 \tabularnewline
F-TEST (DF numerator) & 9 \tabularnewline
F-TEST (DF denominator) & 279 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 20624.4583874248 \tabularnewline
Sum Squared Residuals & 118677751173.118 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159960&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.864773114450981[/C][/ROW]
[ROW][C]R-squared[/C][C]0.74783253947725[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.739698105266839[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]91.9341800711964[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]9[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]279[/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]20624.4583874248[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]118677751173.118[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159960&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159960&T=3

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Regression Statistics
Multiple R0.864773114450981
R-squared0.74783253947725
Adjusted R-squared0.739698105266839
F-TEST (value)91.9341800711964
F-TEST (DF numerator)9
F-TEST (DF denominator)279
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation20624.4583874248
Sum Squared Residuals118677751173.118






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1112285105373.7196104576911.28038954287
28478685840.6951931633-1054.69519316326
38312374769.83530273078353.1646972693
410119397352.42108271593840.57891728411
53836155274.8887922758-16913.8887922758
66850448496.937569885320007.0624301147
7119182116008.8965875313173.10341246907
82280713369.37481634879437.62518365127
91714021905.6314738654-4765.63147386544
1011617487053.288378972829120.7116210272
115763563782.8164925711-6147.81649257114
1266198107065.149852184-40867.1498521844
137170187313.1593803745-15612.1593803745
145779360437.5426531546-2644.54265315464
158044490662.9847145169-10218.9847145169
165385564684.6050887938-10829.6050887938
1797668123636.112144488-25968.1121444876
18133824108911.57086285124912.4291371491
1910148175926.864442230725554.1355577693
209964580035.531013070219609.4689869298
2111478992934.588580149121854.4114198509
2299052111243.29734498-12191.2973449797
236765486180.5142407412-18526.5142407412
246555374621.330315163-9068.33031516295
259750091437.58192917796062.4180708221
266911292469.2778227643-23357.2778227643
278275390931.6596619567-8178.65966195672
288532389429.2836764887-4106.28367648869
2972654101408.334325026-28754.3343250257
303072750103.852119249-19376.852119249
3177873107115.780965914-29242.7809659141
32117478124253.120339528-6775.12033952848
337400782510.0697602205-8503.06976022055
3490183126585.966945633-36402.9669456334
356154245103.013699091416438.9863009086
36101494126474.737274199-24980.7372741989
372757039673.5012359236-12103.5012359236
385581358806.7485740143-2993.74857401432
3979215106997.841618525-27782.8416185247
4014231894.22484840464-471.224848404639
415546166846.9874342631-11385.9874342631
423108143852.5512943111-12771.5512943111
432299633446.9708358277-10450.9708358277
4483122105686.916141497-22564.9161414967
457010685955.1132771859-15849.1132771859
466057869864.3431895214-9286.34318952137
473999250195.7748988955-10203.7748988955
487989286025.7607432935-6133.76074329347
494981053551.514833168-3741.51483316803
507157066359.4673510065210.53264899399
5110070860473.809398628340234.1906013717
523303251004.8138703797-17972.8138703797
538287594920.3863977993-12045.3863977993
54139077113948.90383560325128.0961643967
557159587727.9426198179-16132.9426198179
567226092662.9262386328-20402.9262386328
57595011138.0116918186-5188.01169181861
58115762107959.1510973657802.84890263513
593255131052.25406744921498.74593255077
603170132708.5524594013-1007.55245940125
618067087847.7247294065-7177.72472940649
62143558132352.45612439311205.5438756069
6311710586469.406432907330635.5935670927
642378935208.9933885708-11419.9933885708
65120733130468.38855284-9735.38855284016
66105195132500.49722381-27305.4972238102
677310762018.151050246311088.8489497537
68132068120651.24114964511416.758850355
69149193129356.46218715719836.5378128429
704682157149.8503277287-10328.8503277287
718701186952.118136310658.8818636894434
7295260104082.534445669-8822.53444566851
735518379242.4266463626-24059.4266463626
7410667174962.821464193431708.1785358066
757351195344.7703349262-21833.7703349262
769294577704.163109711515240.8368902884
777866464244.822744764914419.1772552351
787005484702.6692731813-14648.6692731813
792261832279.5921831874-9661.59218318737
807401191554.4064446295-17543.4064446294
818373775082.84900380438654.15099619569
826909482131.0352097528-13037.0352097528
839313385055.17733146888077.82266853124
849553697823.7763609307-2287.7763609307
8522592083449.8801803701142470.11981963
866213371514.9057345553-9381.90573455535
876137068713.7941869798-7343.79418697979
884383652879.6153875515-9043.61538755146
8910611793965.826738074112151.1732619259
903869259338.2233287394-20646.2233287395
918465193279.8516920987-8628.85169209869
925662236842.303813244519779.6961867555
931598632710.9594872578-16724.9594872578
949536489749.67527101665614.32472898343
952670647533.164586728-20827.164586728
968969175311.125761200114379.8742387999
976726795875.5410044329-28608.5410044329
98126846101070.13372714425775.8662728559
994114060228.1785655322-19088.1785655322
10010286095490.16307156667369.83692843336
1015171554912.9375508095-3197.93755080949
1025580173054.839383433-17253.839383433
103111813101626.57153093110186.4284690694
10412029389229.710506593131063.2894934069
105138599112130.82899869326468.1710013071
106161647129147.23716611832499.7628338821
107115929134564.781401598-18635.7814015979
1082426630714.2530025876-6448.25300258762
109162901135742.93488930627158.0651106942
110109825103161.1340183536663.86598164747
111129838120062.4900078979775.50999210268
1123751046534.6815451973-9024.68154519726
1134375038416.32238920475333.67761079526
1144065250622.8506671173-9970.85066711729
11587771105861.644365501-18090.6443655013
1168587294824.7859692278-8952.78596922777
1178927592137.7542809422-2862.75428094216
1184441852808.6387839641-8390.63878396413
11919256594281.664396174598283.3356038255
1203523233142.04431973382089.95568026615
1214090954299.0655614692-13390.0655614692
1221329422743.2070923708-9449.20709237083
1233238744499.9203290157-12112.9203290157
12414086758266.343163621582600.6568363785
125120662102615.65980711518046.3401928848
1262123326832.6470683671-5599.64706836706
1274433231014.346911102513317.6530888975
1286105662629.8261092224-1573.82610922236
12910133890752.419135919710585.5808640803
13011683987.09346880792-2819.09346880792
131134978531.667692457054965.33230754295
1326556777997.4694765851-12430.4694765851
1332516223989.52528449781172.47471550221
1343233446831.1909430994-14497.1909430994
1354073558949.2204161893-18214.2204161893
13691413120293.796426068-28880.7964260683
1378552801.76648075945-1946.76648075945
1389706867600.558943376129467.4410566239
1394433921685.331395357222653.6686046428
1401411616742.6448994477-2626.64489944773
1411028819492.7098817606-9204.70988176056
1426562256529.78643914429092.21356085579
1431656318223.3042260045-1660.30422600452
1447664399570.628296575-22927.628296575
14511068184945.548687075525735.4513129245
1462901127727.69969638871283.30030361133
1479269646806.695011200445889.3049887996
1489478558233.491328419936551.5086715801
149877314715.1163761851-5942.1163761851
1508320972636.446174833910572.5538251661
15193815117432.122523462-23617.1225234617
15286687106531.749440702-19844.7494407018
1533455330441.358978894111.64102110996
154105547127755.677724781-22208.677724781
155103487112762.047551232-9275.0475512324
156213688163063.09486426950624.9051357314
1577122086004.0653838322-14784.0653838322
1582351729044.1052971274-5527.1052971274
1595692652080.79396144294845.20603855714
1609172176172.59284682815548.407153172
161115168121617.281241647-6449.28124164664
16211119433377.765120458177816.2348795419
1635100946342.75052495894666.24947504107
164135777110367.30856606125409.691433939
1655151359118.160516219-7605.16051621903
16674163106080.774768493-31917.7747684932
1675163376137.050638396-24504.050638396
1687534536225.140364329139119.8596356709
1693341653278.3978280892-19862.3978280892
1708330550697.13502696732607.864973033
1719895272239.224713906926712.7752860931
172102372103072.890860006-700.890860005686
1733723823145.741592669914092.2584073301
174103772104210.411497999-438.411497999395
17512396983488.943350856940480.0566491431
1762714239617.5597920213-12475.5597920213
177135400103226.94995776932173.0500422315
1782139928761.2534873593-7362.25348735928
179130115119380.37626720210734.6237327984
1802487435869.6089678576-10995.6089678576
1813498818847.412227564516140.5877724355
1824554919708.227523826725840.7724761733
18360235250.21617498473772.783825015269
1846446670466.879453626-6000.87945362597
1855499094099.4548019352-39109.4548019352
18616443143.12594242981-1499.12594242981
187617914026.3571117679-7847.35711176793
18839266612.71315997373-2686.71315997373
1893275548482.9134833483-15727.9134833483
1903477725712.39883238889064.60116761116
1917322448592.412667907524631.5873320925
1922711428617.7552677628-1503.7552677628
1932076028052.479957181-7292.47995718102
1943763638354.2958878978-718.295887897772
1956546174623.568390573-9162.56839057301
1963008037396.9060947457-7316.90609474572
1972409436250.2397171646-12156.2397171646
1986900836216.239891564632791.7601084354
1995496834499.6623771420468.33762286
2004609038993.5689660937096.43103390703
2012750738498.0275410657-10991.0275410657
2021067228534.0181755446-17862.0181755446
2033402934540.6872732664-511.687273266436
2044630047485.6418599096-1185.64185990958
2052476033269.145541481-8509.14554148103
2061877920347.6659584134-1568.66595841336
2072128031765.9906955022-10485.9906955022
2084066246261.0787990672-5599.07879906716
2092898739207.8959226847-10220.8959226847
2102282747682.9535365343-24855.9535365343
2111851327579.1180114636-9066.11801146364
2123059432196.1534381853-1602.15343818535
2132400630400.1780432599-6394.1780432599
2142791341828.1167317728-13915.1167317728
2154274424254.008522726418489.9914772736
2161293437172.6260751216-24238.6260751216
2172257428235.8072876321-5661.80728763206
2184138528423.054133315612961.9458666844
2191865330671.2332374594-12018.2332374594
2201847229953.2146329954-11481.2146329954
2213097643054.256922354-12078.256922354
2226333968890.352762818-5551.35276281799
2232556839748.7884144549-14180.7884144549
2243374741548.2675326773-7801.26753267727
225415416249.2856924266-12095.2856924266
2261947428404.21232804-8930.21232804004
2273513016613.440561644118516.5594383559
2283906739433.4452165645-366.445216564512
2291331023373.825197721-10063.8251977209
2306589239892.393219777725999.6067802223
231414318031.7401860703-13888.7401860703
2322857935848.4690027011-7269.46900270113
2335177643749.58394908988026.41605091017
2342115225600.8766246358-4448.87662463582
2353808434771.93686160353312.06313839652
2362771732634.5093656282-4917.50936562821
2373292831274.38355445481653.6164455452
2381134220387.0055591424-9045.00555914243
2391949931315.9194019946-11816.9194019946
2401638023350.0232868937-6970.0232868937
2413687429689.98367521167184.01632478835
2424825960623.7764973615-12364.7764973615
2431673426109.2655550408-9375.26555504077
2442820728376.0539104579-169.053910457872
2453014334917.3320617927-4774.33206179274
2464136935082.38695314036286.61304685974
2474583338950.07429097856882.92570902153
2482915631130.3661694728-1974.36616947281
2493594420409.682120520115534.3178794799
2503627820509.765889587615768.2341104124
2514558849287.2729846153-3699.27298461531
2524509746965.7554893533-1868.75548935326
25338955838.2788696758-1943.2788696758
2542839431442.1587199262-3048.15871992617
2551863232605.913229589-13973.913229589
25623253800.69957696293-1475.69957696293
2572513922196.89123360552942.10876639448
2582797523950.94063837844024.05936162155
2591448325310.6877815638-10827.6877815638
2601312717560.0392156954-4433.03921569542
26158399151.39926493038-3312.39926493038
2622406941397.3475744784-17328.3475744784
26337387832.4309132262-4094.4309132262
2641862527310.7266152002-8685.72661520023
2653634128906.62533721357434.37466278651
2662454829992.6837129293-5444.68371292933
2672179236545.1821954219-14753.1821954219
2682626320986.65710116085276.34289883921
2692368641379.9661265294-17693.9661265294
2704930340030.35257435969272.64742564045
2712565930646.4209046044-4987.42090460439
2722890431972.8207694704-3068.82076947044
2732781-208.4324388953242989.43243889532
2742923634618.538560016-5382.53856001601
2751954619804.2032219651-258.203221965057
2762281819367.49320368613450.50679631391
2773268911137.550470553621551.4495294464
27857527774.33327099857-2022.33327099857
2792219737753.2238571054-15556.2238571054
2802005533683.4918756495-13628.4918756495
2812527231954.6753232035-6682.67532320353
2828220620494.497353756861711.5026462432
2833207317121.52751755414951.472482446
28454445018.95803290756425.041967092436
2852015427076.2196616212-6922.21966162123
2863694421323.190224012215620.8097759878
287801917945.5893970395-9926.58939703946
2883088442963.5871697034-12079.5871697034
2891954028873.1120097669-9333.11200976688

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 112285 & 105373.719610457 & 6911.28038954287 \tabularnewline
2 & 84786 & 85840.6951931633 & -1054.69519316326 \tabularnewline
3 & 83123 & 74769.8353027307 & 8353.1646972693 \tabularnewline
4 & 101193 & 97352.4210827159 & 3840.57891728411 \tabularnewline
5 & 38361 & 55274.8887922758 & -16913.8887922758 \tabularnewline
6 & 68504 & 48496.9375698853 & 20007.0624301147 \tabularnewline
7 & 119182 & 116008.896587531 & 3173.10341246907 \tabularnewline
8 & 22807 & 13369.3748163487 & 9437.62518365127 \tabularnewline
9 & 17140 & 21905.6314738654 & -4765.63147386544 \tabularnewline
10 & 116174 & 87053.2883789728 & 29120.7116210272 \tabularnewline
11 & 57635 & 63782.8164925711 & -6147.81649257114 \tabularnewline
12 & 66198 & 107065.149852184 & -40867.1498521844 \tabularnewline
13 & 71701 & 87313.1593803745 & -15612.1593803745 \tabularnewline
14 & 57793 & 60437.5426531546 & -2644.54265315464 \tabularnewline
15 & 80444 & 90662.9847145169 & -10218.9847145169 \tabularnewline
16 & 53855 & 64684.6050887938 & -10829.6050887938 \tabularnewline
17 & 97668 & 123636.112144488 & -25968.1121444876 \tabularnewline
18 & 133824 & 108911.570862851 & 24912.4291371491 \tabularnewline
19 & 101481 & 75926.8644422307 & 25554.1355577693 \tabularnewline
20 & 99645 & 80035.5310130702 & 19609.4689869298 \tabularnewline
21 & 114789 & 92934.5885801491 & 21854.4114198509 \tabularnewline
22 & 99052 & 111243.29734498 & -12191.2973449797 \tabularnewline
23 & 67654 & 86180.5142407412 & -18526.5142407412 \tabularnewline
24 & 65553 & 74621.330315163 & -9068.33031516295 \tabularnewline
25 & 97500 & 91437.5819291779 & 6062.4180708221 \tabularnewline
26 & 69112 & 92469.2778227643 & -23357.2778227643 \tabularnewline
27 & 82753 & 90931.6596619567 & -8178.65966195672 \tabularnewline
28 & 85323 & 89429.2836764887 & -4106.28367648869 \tabularnewline
29 & 72654 & 101408.334325026 & -28754.3343250257 \tabularnewline
30 & 30727 & 50103.852119249 & -19376.852119249 \tabularnewline
31 & 77873 & 107115.780965914 & -29242.7809659141 \tabularnewline
32 & 117478 & 124253.120339528 & -6775.12033952848 \tabularnewline
33 & 74007 & 82510.0697602205 & -8503.06976022055 \tabularnewline
34 & 90183 & 126585.966945633 & -36402.9669456334 \tabularnewline
35 & 61542 & 45103.0136990914 & 16438.9863009086 \tabularnewline
36 & 101494 & 126474.737274199 & -24980.7372741989 \tabularnewline
37 & 27570 & 39673.5012359236 & -12103.5012359236 \tabularnewline
38 & 55813 & 58806.7485740143 & -2993.74857401432 \tabularnewline
39 & 79215 & 106997.841618525 & -27782.8416185247 \tabularnewline
40 & 1423 & 1894.22484840464 & -471.224848404639 \tabularnewline
41 & 55461 & 66846.9874342631 & -11385.9874342631 \tabularnewline
42 & 31081 & 43852.5512943111 & -12771.5512943111 \tabularnewline
43 & 22996 & 33446.9708358277 & -10450.9708358277 \tabularnewline
44 & 83122 & 105686.916141497 & -22564.9161414967 \tabularnewline
45 & 70106 & 85955.1132771859 & -15849.1132771859 \tabularnewline
46 & 60578 & 69864.3431895214 & -9286.34318952137 \tabularnewline
47 & 39992 & 50195.7748988955 & -10203.7748988955 \tabularnewline
48 & 79892 & 86025.7607432935 & -6133.76074329347 \tabularnewline
49 & 49810 & 53551.514833168 & -3741.51483316803 \tabularnewline
50 & 71570 & 66359.467351006 & 5210.53264899399 \tabularnewline
51 & 100708 & 60473.8093986283 & 40234.1906013717 \tabularnewline
52 & 33032 & 51004.8138703797 & -17972.8138703797 \tabularnewline
53 & 82875 & 94920.3863977993 & -12045.3863977993 \tabularnewline
54 & 139077 & 113948.903835603 & 25128.0961643967 \tabularnewline
55 & 71595 & 87727.9426198179 & -16132.9426198179 \tabularnewline
56 & 72260 & 92662.9262386328 & -20402.9262386328 \tabularnewline
57 & 5950 & 11138.0116918186 & -5188.01169181861 \tabularnewline
58 & 115762 & 107959.151097365 & 7802.84890263513 \tabularnewline
59 & 32551 & 31052.2540674492 & 1498.74593255077 \tabularnewline
60 & 31701 & 32708.5524594013 & -1007.55245940125 \tabularnewline
61 & 80670 & 87847.7247294065 & -7177.72472940649 \tabularnewline
62 & 143558 & 132352.456124393 & 11205.5438756069 \tabularnewline
63 & 117105 & 86469.4064329073 & 30635.5935670927 \tabularnewline
64 & 23789 & 35208.9933885708 & -11419.9933885708 \tabularnewline
65 & 120733 & 130468.38855284 & -9735.38855284016 \tabularnewline
66 & 105195 & 132500.49722381 & -27305.4972238102 \tabularnewline
67 & 73107 & 62018.1510502463 & 11088.8489497537 \tabularnewline
68 & 132068 & 120651.241149645 & 11416.758850355 \tabularnewline
69 & 149193 & 129356.462187157 & 19836.5378128429 \tabularnewline
70 & 46821 & 57149.8503277287 & -10328.8503277287 \tabularnewline
71 & 87011 & 86952.1181363106 & 58.8818636894434 \tabularnewline
72 & 95260 & 104082.534445669 & -8822.53444566851 \tabularnewline
73 & 55183 & 79242.4266463626 & -24059.4266463626 \tabularnewline
74 & 106671 & 74962.8214641934 & 31708.1785358066 \tabularnewline
75 & 73511 & 95344.7703349262 & -21833.7703349262 \tabularnewline
76 & 92945 & 77704.1631097115 & 15240.8368902884 \tabularnewline
77 & 78664 & 64244.8227447649 & 14419.1772552351 \tabularnewline
78 & 70054 & 84702.6692731813 & -14648.6692731813 \tabularnewline
79 & 22618 & 32279.5921831874 & -9661.59218318737 \tabularnewline
80 & 74011 & 91554.4064446295 & -17543.4064446294 \tabularnewline
81 & 83737 & 75082.8490038043 & 8654.15099619569 \tabularnewline
82 & 69094 & 82131.0352097528 & -13037.0352097528 \tabularnewline
83 & 93133 & 85055.1773314688 & 8077.82266853124 \tabularnewline
84 & 95536 & 97823.7763609307 & -2287.7763609307 \tabularnewline
85 & 225920 & 83449.8801803701 & 142470.11981963 \tabularnewline
86 & 62133 & 71514.9057345553 & -9381.90573455535 \tabularnewline
87 & 61370 & 68713.7941869798 & -7343.79418697979 \tabularnewline
88 & 43836 & 52879.6153875515 & -9043.61538755146 \tabularnewline
89 & 106117 & 93965.8267380741 & 12151.1732619259 \tabularnewline
90 & 38692 & 59338.2233287394 & -20646.2233287395 \tabularnewline
91 & 84651 & 93279.8516920987 & -8628.85169209869 \tabularnewline
92 & 56622 & 36842.3038132445 & 19779.6961867555 \tabularnewline
93 & 15986 & 32710.9594872578 & -16724.9594872578 \tabularnewline
94 & 95364 & 89749.6752710166 & 5614.32472898343 \tabularnewline
95 & 26706 & 47533.164586728 & -20827.164586728 \tabularnewline
96 & 89691 & 75311.1257612001 & 14379.8742387999 \tabularnewline
97 & 67267 & 95875.5410044329 & -28608.5410044329 \tabularnewline
98 & 126846 & 101070.133727144 & 25775.8662728559 \tabularnewline
99 & 41140 & 60228.1785655322 & -19088.1785655322 \tabularnewline
100 & 102860 & 95490.1630715666 & 7369.83692843336 \tabularnewline
101 & 51715 & 54912.9375508095 & -3197.93755080949 \tabularnewline
102 & 55801 & 73054.839383433 & -17253.839383433 \tabularnewline
103 & 111813 & 101626.571530931 & 10186.4284690694 \tabularnewline
104 & 120293 & 89229.7105065931 & 31063.2894934069 \tabularnewline
105 & 138599 & 112130.828998693 & 26468.1710013071 \tabularnewline
106 & 161647 & 129147.237166118 & 32499.7628338821 \tabularnewline
107 & 115929 & 134564.781401598 & -18635.7814015979 \tabularnewline
108 & 24266 & 30714.2530025876 & -6448.25300258762 \tabularnewline
109 & 162901 & 135742.934889306 & 27158.0651106942 \tabularnewline
110 & 109825 & 103161.134018353 & 6663.86598164747 \tabularnewline
111 & 129838 & 120062.490007897 & 9775.50999210268 \tabularnewline
112 & 37510 & 46534.6815451973 & -9024.68154519726 \tabularnewline
113 & 43750 & 38416.3223892047 & 5333.67761079526 \tabularnewline
114 & 40652 & 50622.8506671173 & -9970.85066711729 \tabularnewline
115 & 87771 & 105861.644365501 & -18090.6443655013 \tabularnewline
116 & 85872 & 94824.7859692278 & -8952.78596922777 \tabularnewline
117 & 89275 & 92137.7542809422 & -2862.75428094216 \tabularnewline
118 & 44418 & 52808.6387839641 & -8390.63878396413 \tabularnewline
119 & 192565 & 94281.6643961745 & 98283.3356038255 \tabularnewline
120 & 35232 & 33142.0443197338 & 2089.95568026615 \tabularnewline
121 & 40909 & 54299.0655614692 & -13390.0655614692 \tabularnewline
122 & 13294 & 22743.2070923708 & -9449.20709237083 \tabularnewline
123 & 32387 & 44499.9203290157 & -12112.9203290157 \tabularnewline
124 & 140867 & 58266.3431636215 & 82600.6568363785 \tabularnewline
125 & 120662 & 102615.659807115 & 18046.3401928848 \tabularnewline
126 & 21233 & 26832.6470683671 & -5599.64706836706 \tabularnewline
127 & 44332 & 31014.3469111025 & 13317.6530888975 \tabularnewline
128 & 61056 & 62629.8261092224 & -1573.82610922236 \tabularnewline
129 & 101338 & 90752.4191359197 & 10585.5808640803 \tabularnewline
130 & 1168 & 3987.09346880792 & -2819.09346880792 \tabularnewline
131 & 13497 & 8531.66769245705 & 4965.33230754295 \tabularnewline
132 & 65567 & 77997.4694765851 & -12430.4694765851 \tabularnewline
133 & 25162 & 23989.5252844978 & 1172.47471550221 \tabularnewline
134 & 32334 & 46831.1909430994 & -14497.1909430994 \tabularnewline
135 & 40735 & 58949.2204161893 & -18214.2204161893 \tabularnewline
136 & 91413 & 120293.796426068 & -28880.7964260683 \tabularnewline
137 & 855 & 2801.76648075945 & -1946.76648075945 \tabularnewline
138 & 97068 & 67600.5589433761 & 29467.4410566239 \tabularnewline
139 & 44339 & 21685.3313953572 & 22653.6686046428 \tabularnewline
140 & 14116 & 16742.6448994477 & -2626.64489944773 \tabularnewline
141 & 10288 & 19492.7098817606 & -9204.70988176056 \tabularnewline
142 & 65622 & 56529.7864391442 & 9092.21356085579 \tabularnewline
143 & 16563 & 18223.3042260045 & -1660.30422600452 \tabularnewline
144 & 76643 & 99570.628296575 & -22927.628296575 \tabularnewline
145 & 110681 & 84945.5486870755 & 25735.4513129245 \tabularnewline
146 & 29011 & 27727.6996963887 & 1283.30030361133 \tabularnewline
147 & 92696 & 46806.6950112004 & 45889.3049887996 \tabularnewline
148 & 94785 & 58233.4913284199 & 36551.5086715801 \tabularnewline
149 & 8773 & 14715.1163761851 & -5942.1163761851 \tabularnewline
150 & 83209 & 72636.4461748339 & 10572.5538251661 \tabularnewline
151 & 93815 & 117432.122523462 & -23617.1225234617 \tabularnewline
152 & 86687 & 106531.749440702 & -19844.7494407018 \tabularnewline
153 & 34553 & 30441.35897889 & 4111.64102110996 \tabularnewline
154 & 105547 & 127755.677724781 & -22208.677724781 \tabularnewline
155 & 103487 & 112762.047551232 & -9275.0475512324 \tabularnewline
156 & 213688 & 163063.094864269 & 50624.9051357314 \tabularnewline
157 & 71220 & 86004.0653838322 & -14784.0653838322 \tabularnewline
158 & 23517 & 29044.1052971274 & -5527.1052971274 \tabularnewline
159 & 56926 & 52080.7939614429 & 4845.20603855714 \tabularnewline
160 & 91721 & 76172.592846828 & 15548.407153172 \tabularnewline
161 & 115168 & 121617.281241647 & -6449.28124164664 \tabularnewline
162 & 111194 & 33377.7651204581 & 77816.2348795419 \tabularnewline
163 & 51009 & 46342.7505249589 & 4666.24947504107 \tabularnewline
164 & 135777 & 110367.308566061 & 25409.691433939 \tabularnewline
165 & 51513 & 59118.160516219 & -7605.16051621903 \tabularnewline
166 & 74163 & 106080.774768493 & -31917.7747684932 \tabularnewline
167 & 51633 & 76137.050638396 & -24504.050638396 \tabularnewline
168 & 75345 & 36225.1403643291 & 39119.8596356709 \tabularnewline
169 & 33416 & 53278.3978280892 & -19862.3978280892 \tabularnewline
170 & 83305 & 50697.135026967 & 32607.864973033 \tabularnewline
171 & 98952 & 72239.2247139069 & 26712.7752860931 \tabularnewline
172 & 102372 & 103072.890860006 & -700.890860005686 \tabularnewline
173 & 37238 & 23145.7415926699 & 14092.2584073301 \tabularnewline
174 & 103772 & 104210.411497999 & -438.411497999395 \tabularnewline
175 & 123969 & 83488.9433508569 & 40480.0566491431 \tabularnewline
176 & 27142 & 39617.5597920213 & -12475.5597920213 \tabularnewline
177 & 135400 & 103226.949957769 & 32173.0500422315 \tabularnewline
178 & 21399 & 28761.2534873593 & -7362.25348735928 \tabularnewline
179 & 130115 & 119380.376267202 & 10734.6237327984 \tabularnewline
180 & 24874 & 35869.6089678576 & -10995.6089678576 \tabularnewline
181 & 34988 & 18847.4122275645 & 16140.5877724355 \tabularnewline
182 & 45549 & 19708.2275238267 & 25840.7724761733 \tabularnewline
183 & 6023 & 5250.21617498473 & 772.783825015269 \tabularnewline
184 & 64466 & 70466.879453626 & -6000.87945362597 \tabularnewline
185 & 54990 & 94099.4548019352 & -39109.4548019352 \tabularnewline
186 & 1644 & 3143.12594242981 & -1499.12594242981 \tabularnewline
187 & 6179 & 14026.3571117679 & -7847.35711176793 \tabularnewline
188 & 3926 & 6612.71315997373 & -2686.71315997373 \tabularnewline
189 & 32755 & 48482.9134833483 & -15727.9134833483 \tabularnewline
190 & 34777 & 25712.3988323888 & 9064.60116761116 \tabularnewline
191 & 73224 & 48592.4126679075 & 24631.5873320925 \tabularnewline
192 & 27114 & 28617.7552677628 & -1503.7552677628 \tabularnewline
193 & 20760 & 28052.479957181 & -7292.47995718102 \tabularnewline
194 & 37636 & 38354.2958878978 & -718.295887897772 \tabularnewline
195 & 65461 & 74623.568390573 & -9162.56839057301 \tabularnewline
196 & 30080 & 37396.9060947457 & -7316.90609474572 \tabularnewline
197 & 24094 & 36250.2397171646 & -12156.2397171646 \tabularnewline
198 & 69008 & 36216.2398915646 & 32791.7601084354 \tabularnewline
199 & 54968 & 34499.66237714 & 20468.33762286 \tabularnewline
200 & 46090 & 38993.568966093 & 7096.43103390703 \tabularnewline
201 & 27507 & 38498.0275410657 & -10991.0275410657 \tabularnewline
202 & 10672 & 28534.0181755446 & -17862.0181755446 \tabularnewline
203 & 34029 & 34540.6872732664 & -511.687273266436 \tabularnewline
204 & 46300 & 47485.6418599096 & -1185.64185990958 \tabularnewline
205 & 24760 & 33269.145541481 & -8509.14554148103 \tabularnewline
206 & 18779 & 20347.6659584134 & -1568.66595841336 \tabularnewline
207 & 21280 & 31765.9906955022 & -10485.9906955022 \tabularnewline
208 & 40662 & 46261.0787990672 & -5599.07879906716 \tabularnewline
209 & 28987 & 39207.8959226847 & -10220.8959226847 \tabularnewline
210 & 22827 & 47682.9535365343 & -24855.9535365343 \tabularnewline
211 & 18513 & 27579.1180114636 & -9066.11801146364 \tabularnewline
212 & 30594 & 32196.1534381853 & -1602.15343818535 \tabularnewline
213 & 24006 & 30400.1780432599 & -6394.1780432599 \tabularnewline
214 & 27913 & 41828.1167317728 & -13915.1167317728 \tabularnewline
215 & 42744 & 24254.0085227264 & 18489.9914772736 \tabularnewline
216 & 12934 & 37172.6260751216 & -24238.6260751216 \tabularnewline
217 & 22574 & 28235.8072876321 & -5661.80728763206 \tabularnewline
218 & 41385 & 28423.0541333156 & 12961.9458666844 \tabularnewline
219 & 18653 & 30671.2332374594 & -12018.2332374594 \tabularnewline
220 & 18472 & 29953.2146329954 & -11481.2146329954 \tabularnewline
221 & 30976 & 43054.256922354 & -12078.256922354 \tabularnewline
222 & 63339 & 68890.352762818 & -5551.35276281799 \tabularnewline
223 & 25568 & 39748.7884144549 & -14180.7884144549 \tabularnewline
224 & 33747 & 41548.2675326773 & -7801.26753267727 \tabularnewline
225 & 4154 & 16249.2856924266 & -12095.2856924266 \tabularnewline
226 & 19474 & 28404.21232804 & -8930.21232804004 \tabularnewline
227 & 35130 & 16613.4405616441 & 18516.5594383559 \tabularnewline
228 & 39067 & 39433.4452165645 & -366.445216564512 \tabularnewline
229 & 13310 & 23373.825197721 & -10063.8251977209 \tabularnewline
230 & 65892 & 39892.3932197777 & 25999.6067802223 \tabularnewline
231 & 4143 & 18031.7401860703 & -13888.7401860703 \tabularnewline
232 & 28579 & 35848.4690027011 & -7269.46900270113 \tabularnewline
233 & 51776 & 43749.5839490898 & 8026.41605091017 \tabularnewline
234 & 21152 & 25600.8766246358 & -4448.87662463582 \tabularnewline
235 & 38084 & 34771.9368616035 & 3312.06313839652 \tabularnewline
236 & 27717 & 32634.5093656282 & -4917.50936562821 \tabularnewline
237 & 32928 & 31274.3835544548 & 1653.6164455452 \tabularnewline
238 & 11342 & 20387.0055591424 & -9045.00555914243 \tabularnewline
239 & 19499 & 31315.9194019946 & -11816.9194019946 \tabularnewline
240 & 16380 & 23350.0232868937 & -6970.0232868937 \tabularnewline
241 & 36874 & 29689.9836752116 & 7184.01632478835 \tabularnewline
242 & 48259 & 60623.7764973615 & -12364.7764973615 \tabularnewline
243 & 16734 & 26109.2655550408 & -9375.26555504077 \tabularnewline
244 & 28207 & 28376.0539104579 & -169.053910457872 \tabularnewline
245 & 30143 & 34917.3320617927 & -4774.33206179274 \tabularnewline
246 & 41369 & 35082.3869531403 & 6286.61304685974 \tabularnewline
247 & 45833 & 38950.0742909785 & 6882.92570902153 \tabularnewline
248 & 29156 & 31130.3661694728 & -1974.36616947281 \tabularnewline
249 & 35944 & 20409.6821205201 & 15534.3178794799 \tabularnewline
250 & 36278 & 20509.7658895876 & 15768.2341104124 \tabularnewline
251 & 45588 & 49287.2729846153 & -3699.27298461531 \tabularnewline
252 & 45097 & 46965.7554893533 & -1868.75548935326 \tabularnewline
253 & 3895 & 5838.2788696758 & -1943.2788696758 \tabularnewline
254 & 28394 & 31442.1587199262 & -3048.15871992617 \tabularnewline
255 & 18632 & 32605.913229589 & -13973.913229589 \tabularnewline
256 & 2325 & 3800.69957696293 & -1475.69957696293 \tabularnewline
257 & 25139 & 22196.8912336055 & 2942.10876639448 \tabularnewline
258 & 27975 & 23950.9406383784 & 4024.05936162155 \tabularnewline
259 & 14483 & 25310.6877815638 & -10827.6877815638 \tabularnewline
260 & 13127 & 17560.0392156954 & -4433.03921569542 \tabularnewline
261 & 5839 & 9151.39926493038 & -3312.39926493038 \tabularnewline
262 & 24069 & 41397.3475744784 & -17328.3475744784 \tabularnewline
263 & 3738 & 7832.4309132262 & -4094.4309132262 \tabularnewline
264 & 18625 & 27310.7266152002 & -8685.72661520023 \tabularnewline
265 & 36341 & 28906.6253372135 & 7434.37466278651 \tabularnewline
266 & 24548 & 29992.6837129293 & -5444.68371292933 \tabularnewline
267 & 21792 & 36545.1821954219 & -14753.1821954219 \tabularnewline
268 & 26263 & 20986.6571011608 & 5276.34289883921 \tabularnewline
269 & 23686 & 41379.9661265294 & -17693.9661265294 \tabularnewline
270 & 49303 & 40030.3525743596 & 9272.64742564045 \tabularnewline
271 & 25659 & 30646.4209046044 & -4987.42090460439 \tabularnewline
272 & 28904 & 31972.8207694704 & -3068.82076947044 \tabularnewline
273 & 2781 & -208.432438895324 & 2989.43243889532 \tabularnewline
274 & 29236 & 34618.538560016 & -5382.53856001601 \tabularnewline
275 & 19546 & 19804.2032219651 & -258.203221965057 \tabularnewline
276 & 22818 & 19367.4932036861 & 3450.50679631391 \tabularnewline
277 & 32689 & 11137.5504705536 & 21551.4495294464 \tabularnewline
278 & 5752 & 7774.33327099857 & -2022.33327099857 \tabularnewline
279 & 22197 & 37753.2238571054 & -15556.2238571054 \tabularnewline
280 & 20055 & 33683.4918756495 & -13628.4918756495 \tabularnewline
281 & 25272 & 31954.6753232035 & -6682.67532320353 \tabularnewline
282 & 82206 & 20494.4973537568 & 61711.5026462432 \tabularnewline
283 & 32073 & 17121.527517554 & 14951.472482446 \tabularnewline
284 & 5444 & 5018.95803290756 & 425.041967092436 \tabularnewline
285 & 20154 & 27076.2196616212 & -6922.21966162123 \tabularnewline
286 & 36944 & 21323.1902240122 & 15620.8097759878 \tabularnewline
287 & 8019 & 17945.5893970395 & -9926.58939703946 \tabularnewline
288 & 30884 & 42963.5871697034 & -12079.5871697034 \tabularnewline
289 & 19540 & 28873.1120097669 & -9333.11200976688 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159960&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]112285[/C][C]105373.719610457[/C][C]6911.28038954287[/C][/ROW]
[ROW][C]2[/C][C]84786[/C][C]85840.6951931633[/C][C]-1054.69519316326[/C][/ROW]
[ROW][C]3[/C][C]83123[/C][C]74769.8353027307[/C][C]8353.1646972693[/C][/ROW]
[ROW][C]4[/C][C]101193[/C][C]97352.4210827159[/C][C]3840.57891728411[/C][/ROW]
[ROW][C]5[/C][C]38361[/C][C]55274.8887922758[/C][C]-16913.8887922758[/C][/ROW]
[ROW][C]6[/C][C]68504[/C][C]48496.9375698853[/C][C]20007.0624301147[/C][/ROW]
[ROW][C]7[/C][C]119182[/C][C]116008.896587531[/C][C]3173.10341246907[/C][/ROW]
[ROW][C]8[/C][C]22807[/C][C]13369.3748163487[/C][C]9437.62518365127[/C][/ROW]
[ROW][C]9[/C][C]17140[/C][C]21905.6314738654[/C][C]-4765.63147386544[/C][/ROW]
[ROW][C]10[/C][C]116174[/C][C]87053.2883789728[/C][C]29120.7116210272[/C][/ROW]
[ROW][C]11[/C][C]57635[/C][C]63782.8164925711[/C][C]-6147.81649257114[/C][/ROW]
[ROW][C]12[/C][C]66198[/C][C]107065.149852184[/C][C]-40867.1498521844[/C][/ROW]
[ROW][C]13[/C][C]71701[/C][C]87313.1593803745[/C][C]-15612.1593803745[/C][/ROW]
[ROW][C]14[/C][C]57793[/C][C]60437.5426531546[/C][C]-2644.54265315464[/C][/ROW]
[ROW][C]15[/C][C]80444[/C][C]90662.9847145169[/C][C]-10218.9847145169[/C][/ROW]
[ROW][C]16[/C][C]53855[/C][C]64684.6050887938[/C][C]-10829.6050887938[/C][/ROW]
[ROW][C]17[/C][C]97668[/C][C]123636.112144488[/C][C]-25968.1121444876[/C][/ROW]
[ROW][C]18[/C][C]133824[/C][C]108911.570862851[/C][C]24912.4291371491[/C][/ROW]
[ROW][C]19[/C][C]101481[/C][C]75926.8644422307[/C][C]25554.1355577693[/C][/ROW]
[ROW][C]20[/C][C]99645[/C][C]80035.5310130702[/C][C]19609.4689869298[/C][/ROW]
[ROW][C]21[/C][C]114789[/C][C]92934.5885801491[/C][C]21854.4114198509[/C][/ROW]
[ROW][C]22[/C][C]99052[/C][C]111243.29734498[/C][C]-12191.2973449797[/C][/ROW]
[ROW][C]23[/C][C]67654[/C][C]86180.5142407412[/C][C]-18526.5142407412[/C][/ROW]
[ROW][C]24[/C][C]65553[/C][C]74621.330315163[/C][C]-9068.33031516295[/C][/ROW]
[ROW][C]25[/C][C]97500[/C][C]91437.5819291779[/C][C]6062.4180708221[/C][/ROW]
[ROW][C]26[/C][C]69112[/C][C]92469.2778227643[/C][C]-23357.2778227643[/C][/ROW]
[ROW][C]27[/C][C]82753[/C][C]90931.6596619567[/C][C]-8178.65966195672[/C][/ROW]
[ROW][C]28[/C][C]85323[/C][C]89429.2836764887[/C][C]-4106.28367648869[/C][/ROW]
[ROW][C]29[/C][C]72654[/C][C]101408.334325026[/C][C]-28754.3343250257[/C][/ROW]
[ROW][C]30[/C][C]30727[/C][C]50103.852119249[/C][C]-19376.852119249[/C][/ROW]
[ROW][C]31[/C][C]77873[/C][C]107115.780965914[/C][C]-29242.7809659141[/C][/ROW]
[ROW][C]32[/C][C]117478[/C][C]124253.120339528[/C][C]-6775.12033952848[/C][/ROW]
[ROW][C]33[/C][C]74007[/C][C]82510.0697602205[/C][C]-8503.06976022055[/C][/ROW]
[ROW][C]34[/C][C]90183[/C][C]126585.966945633[/C][C]-36402.9669456334[/C][/ROW]
[ROW][C]35[/C][C]61542[/C][C]45103.0136990914[/C][C]16438.9863009086[/C][/ROW]
[ROW][C]36[/C][C]101494[/C][C]126474.737274199[/C][C]-24980.7372741989[/C][/ROW]
[ROW][C]37[/C][C]27570[/C][C]39673.5012359236[/C][C]-12103.5012359236[/C][/ROW]
[ROW][C]38[/C][C]55813[/C][C]58806.7485740143[/C][C]-2993.74857401432[/C][/ROW]
[ROW][C]39[/C][C]79215[/C][C]106997.841618525[/C][C]-27782.8416185247[/C][/ROW]
[ROW][C]40[/C][C]1423[/C][C]1894.22484840464[/C][C]-471.224848404639[/C][/ROW]
[ROW][C]41[/C][C]55461[/C][C]66846.9874342631[/C][C]-11385.9874342631[/C][/ROW]
[ROW][C]42[/C][C]31081[/C][C]43852.5512943111[/C][C]-12771.5512943111[/C][/ROW]
[ROW][C]43[/C][C]22996[/C][C]33446.9708358277[/C][C]-10450.9708358277[/C][/ROW]
[ROW][C]44[/C][C]83122[/C][C]105686.916141497[/C][C]-22564.9161414967[/C][/ROW]
[ROW][C]45[/C][C]70106[/C][C]85955.1132771859[/C][C]-15849.1132771859[/C][/ROW]
[ROW][C]46[/C][C]60578[/C][C]69864.3431895214[/C][C]-9286.34318952137[/C][/ROW]
[ROW][C]47[/C][C]39992[/C][C]50195.7748988955[/C][C]-10203.7748988955[/C][/ROW]
[ROW][C]48[/C][C]79892[/C][C]86025.7607432935[/C][C]-6133.76074329347[/C][/ROW]
[ROW][C]49[/C][C]49810[/C][C]53551.514833168[/C][C]-3741.51483316803[/C][/ROW]
[ROW][C]50[/C][C]71570[/C][C]66359.467351006[/C][C]5210.53264899399[/C][/ROW]
[ROW][C]51[/C][C]100708[/C][C]60473.8093986283[/C][C]40234.1906013717[/C][/ROW]
[ROW][C]52[/C][C]33032[/C][C]51004.8138703797[/C][C]-17972.8138703797[/C][/ROW]
[ROW][C]53[/C][C]82875[/C][C]94920.3863977993[/C][C]-12045.3863977993[/C][/ROW]
[ROW][C]54[/C][C]139077[/C][C]113948.903835603[/C][C]25128.0961643967[/C][/ROW]
[ROW][C]55[/C][C]71595[/C][C]87727.9426198179[/C][C]-16132.9426198179[/C][/ROW]
[ROW][C]56[/C][C]72260[/C][C]92662.9262386328[/C][C]-20402.9262386328[/C][/ROW]
[ROW][C]57[/C][C]5950[/C][C]11138.0116918186[/C][C]-5188.01169181861[/C][/ROW]
[ROW][C]58[/C][C]115762[/C][C]107959.151097365[/C][C]7802.84890263513[/C][/ROW]
[ROW][C]59[/C][C]32551[/C][C]31052.2540674492[/C][C]1498.74593255077[/C][/ROW]
[ROW][C]60[/C][C]31701[/C][C]32708.5524594013[/C][C]-1007.55245940125[/C][/ROW]
[ROW][C]61[/C][C]80670[/C][C]87847.7247294065[/C][C]-7177.72472940649[/C][/ROW]
[ROW][C]62[/C][C]143558[/C][C]132352.456124393[/C][C]11205.5438756069[/C][/ROW]
[ROW][C]63[/C][C]117105[/C][C]86469.4064329073[/C][C]30635.5935670927[/C][/ROW]
[ROW][C]64[/C][C]23789[/C][C]35208.9933885708[/C][C]-11419.9933885708[/C][/ROW]
[ROW][C]65[/C][C]120733[/C][C]130468.38855284[/C][C]-9735.38855284016[/C][/ROW]
[ROW][C]66[/C][C]105195[/C][C]132500.49722381[/C][C]-27305.4972238102[/C][/ROW]
[ROW][C]67[/C][C]73107[/C][C]62018.1510502463[/C][C]11088.8489497537[/C][/ROW]
[ROW][C]68[/C][C]132068[/C][C]120651.241149645[/C][C]11416.758850355[/C][/ROW]
[ROW][C]69[/C][C]149193[/C][C]129356.462187157[/C][C]19836.5378128429[/C][/ROW]
[ROW][C]70[/C][C]46821[/C][C]57149.8503277287[/C][C]-10328.8503277287[/C][/ROW]
[ROW][C]71[/C][C]87011[/C][C]86952.1181363106[/C][C]58.8818636894434[/C][/ROW]
[ROW][C]72[/C][C]95260[/C][C]104082.534445669[/C][C]-8822.53444566851[/C][/ROW]
[ROW][C]73[/C][C]55183[/C][C]79242.4266463626[/C][C]-24059.4266463626[/C][/ROW]
[ROW][C]74[/C][C]106671[/C][C]74962.8214641934[/C][C]31708.1785358066[/C][/ROW]
[ROW][C]75[/C][C]73511[/C][C]95344.7703349262[/C][C]-21833.7703349262[/C][/ROW]
[ROW][C]76[/C][C]92945[/C][C]77704.1631097115[/C][C]15240.8368902884[/C][/ROW]
[ROW][C]77[/C][C]78664[/C][C]64244.8227447649[/C][C]14419.1772552351[/C][/ROW]
[ROW][C]78[/C][C]70054[/C][C]84702.6692731813[/C][C]-14648.6692731813[/C][/ROW]
[ROW][C]79[/C][C]22618[/C][C]32279.5921831874[/C][C]-9661.59218318737[/C][/ROW]
[ROW][C]80[/C][C]74011[/C][C]91554.4064446295[/C][C]-17543.4064446294[/C][/ROW]
[ROW][C]81[/C][C]83737[/C][C]75082.8490038043[/C][C]8654.15099619569[/C][/ROW]
[ROW][C]82[/C][C]69094[/C][C]82131.0352097528[/C][C]-13037.0352097528[/C][/ROW]
[ROW][C]83[/C][C]93133[/C][C]85055.1773314688[/C][C]8077.82266853124[/C][/ROW]
[ROW][C]84[/C][C]95536[/C][C]97823.7763609307[/C][C]-2287.7763609307[/C][/ROW]
[ROW][C]85[/C][C]225920[/C][C]83449.8801803701[/C][C]142470.11981963[/C][/ROW]
[ROW][C]86[/C][C]62133[/C][C]71514.9057345553[/C][C]-9381.90573455535[/C][/ROW]
[ROW][C]87[/C][C]61370[/C][C]68713.7941869798[/C][C]-7343.79418697979[/C][/ROW]
[ROW][C]88[/C][C]43836[/C][C]52879.6153875515[/C][C]-9043.61538755146[/C][/ROW]
[ROW][C]89[/C][C]106117[/C][C]93965.8267380741[/C][C]12151.1732619259[/C][/ROW]
[ROW][C]90[/C][C]38692[/C][C]59338.2233287394[/C][C]-20646.2233287395[/C][/ROW]
[ROW][C]91[/C][C]84651[/C][C]93279.8516920987[/C][C]-8628.85169209869[/C][/ROW]
[ROW][C]92[/C][C]56622[/C][C]36842.3038132445[/C][C]19779.6961867555[/C][/ROW]
[ROW][C]93[/C][C]15986[/C][C]32710.9594872578[/C][C]-16724.9594872578[/C][/ROW]
[ROW][C]94[/C][C]95364[/C][C]89749.6752710166[/C][C]5614.32472898343[/C][/ROW]
[ROW][C]95[/C][C]26706[/C][C]47533.164586728[/C][C]-20827.164586728[/C][/ROW]
[ROW][C]96[/C][C]89691[/C][C]75311.1257612001[/C][C]14379.8742387999[/C][/ROW]
[ROW][C]97[/C][C]67267[/C][C]95875.5410044329[/C][C]-28608.5410044329[/C][/ROW]
[ROW][C]98[/C][C]126846[/C][C]101070.133727144[/C][C]25775.8662728559[/C][/ROW]
[ROW][C]99[/C][C]41140[/C][C]60228.1785655322[/C][C]-19088.1785655322[/C][/ROW]
[ROW][C]100[/C][C]102860[/C][C]95490.1630715666[/C][C]7369.83692843336[/C][/ROW]
[ROW][C]101[/C][C]51715[/C][C]54912.9375508095[/C][C]-3197.93755080949[/C][/ROW]
[ROW][C]102[/C][C]55801[/C][C]73054.839383433[/C][C]-17253.839383433[/C][/ROW]
[ROW][C]103[/C][C]111813[/C][C]101626.571530931[/C][C]10186.4284690694[/C][/ROW]
[ROW][C]104[/C][C]120293[/C][C]89229.7105065931[/C][C]31063.2894934069[/C][/ROW]
[ROW][C]105[/C][C]138599[/C][C]112130.828998693[/C][C]26468.1710013071[/C][/ROW]
[ROW][C]106[/C][C]161647[/C][C]129147.237166118[/C][C]32499.7628338821[/C][/ROW]
[ROW][C]107[/C][C]115929[/C][C]134564.781401598[/C][C]-18635.7814015979[/C][/ROW]
[ROW][C]108[/C][C]24266[/C][C]30714.2530025876[/C][C]-6448.25300258762[/C][/ROW]
[ROW][C]109[/C][C]162901[/C][C]135742.934889306[/C][C]27158.0651106942[/C][/ROW]
[ROW][C]110[/C][C]109825[/C][C]103161.134018353[/C][C]6663.86598164747[/C][/ROW]
[ROW][C]111[/C][C]129838[/C][C]120062.490007897[/C][C]9775.50999210268[/C][/ROW]
[ROW][C]112[/C][C]37510[/C][C]46534.6815451973[/C][C]-9024.68154519726[/C][/ROW]
[ROW][C]113[/C][C]43750[/C][C]38416.3223892047[/C][C]5333.67761079526[/C][/ROW]
[ROW][C]114[/C][C]40652[/C][C]50622.8506671173[/C][C]-9970.85066711729[/C][/ROW]
[ROW][C]115[/C][C]87771[/C][C]105861.644365501[/C][C]-18090.6443655013[/C][/ROW]
[ROW][C]116[/C][C]85872[/C][C]94824.7859692278[/C][C]-8952.78596922777[/C][/ROW]
[ROW][C]117[/C][C]89275[/C][C]92137.7542809422[/C][C]-2862.75428094216[/C][/ROW]
[ROW][C]118[/C][C]44418[/C][C]52808.6387839641[/C][C]-8390.63878396413[/C][/ROW]
[ROW][C]119[/C][C]192565[/C][C]94281.6643961745[/C][C]98283.3356038255[/C][/ROW]
[ROW][C]120[/C][C]35232[/C][C]33142.0443197338[/C][C]2089.95568026615[/C][/ROW]
[ROW][C]121[/C][C]40909[/C][C]54299.0655614692[/C][C]-13390.0655614692[/C][/ROW]
[ROW][C]122[/C][C]13294[/C][C]22743.2070923708[/C][C]-9449.20709237083[/C][/ROW]
[ROW][C]123[/C][C]32387[/C][C]44499.9203290157[/C][C]-12112.9203290157[/C][/ROW]
[ROW][C]124[/C][C]140867[/C][C]58266.3431636215[/C][C]82600.6568363785[/C][/ROW]
[ROW][C]125[/C][C]120662[/C][C]102615.659807115[/C][C]18046.3401928848[/C][/ROW]
[ROW][C]126[/C][C]21233[/C][C]26832.6470683671[/C][C]-5599.64706836706[/C][/ROW]
[ROW][C]127[/C][C]44332[/C][C]31014.3469111025[/C][C]13317.6530888975[/C][/ROW]
[ROW][C]128[/C][C]61056[/C][C]62629.8261092224[/C][C]-1573.82610922236[/C][/ROW]
[ROW][C]129[/C][C]101338[/C][C]90752.4191359197[/C][C]10585.5808640803[/C][/ROW]
[ROW][C]130[/C][C]1168[/C][C]3987.09346880792[/C][C]-2819.09346880792[/C][/ROW]
[ROW][C]131[/C][C]13497[/C][C]8531.66769245705[/C][C]4965.33230754295[/C][/ROW]
[ROW][C]132[/C][C]65567[/C][C]77997.4694765851[/C][C]-12430.4694765851[/C][/ROW]
[ROW][C]133[/C][C]25162[/C][C]23989.5252844978[/C][C]1172.47471550221[/C][/ROW]
[ROW][C]134[/C][C]32334[/C][C]46831.1909430994[/C][C]-14497.1909430994[/C][/ROW]
[ROW][C]135[/C][C]40735[/C][C]58949.2204161893[/C][C]-18214.2204161893[/C][/ROW]
[ROW][C]136[/C][C]91413[/C][C]120293.796426068[/C][C]-28880.7964260683[/C][/ROW]
[ROW][C]137[/C][C]855[/C][C]2801.76648075945[/C][C]-1946.76648075945[/C][/ROW]
[ROW][C]138[/C][C]97068[/C][C]67600.5589433761[/C][C]29467.4410566239[/C][/ROW]
[ROW][C]139[/C][C]44339[/C][C]21685.3313953572[/C][C]22653.6686046428[/C][/ROW]
[ROW][C]140[/C][C]14116[/C][C]16742.6448994477[/C][C]-2626.64489944773[/C][/ROW]
[ROW][C]141[/C][C]10288[/C][C]19492.7098817606[/C][C]-9204.70988176056[/C][/ROW]
[ROW][C]142[/C][C]65622[/C][C]56529.7864391442[/C][C]9092.21356085579[/C][/ROW]
[ROW][C]143[/C][C]16563[/C][C]18223.3042260045[/C][C]-1660.30422600452[/C][/ROW]
[ROW][C]144[/C][C]76643[/C][C]99570.628296575[/C][C]-22927.628296575[/C][/ROW]
[ROW][C]145[/C][C]110681[/C][C]84945.5486870755[/C][C]25735.4513129245[/C][/ROW]
[ROW][C]146[/C][C]29011[/C][C]27727.6996963887[/C][C]1283.30030361133[/C][/ROW]
[ROW][C]147[/C][C]92696[/C][C]46806.6950112004[/C][C]45889.3049887996[/C][/ROW]
[ROW][C]148[/C][C]94785[/C][C]58233.4913284199[/C][C]36551.5086715801[/C][/ROW]
[ROW][C]149[/C][C]8773[/C][C]14715.1163761851[/C][C]-5942.1163761851[/C][/ROW]
[ROW][C]150[/C][C]83209[/C][C]72636.4461748339[/C][C]10572.5538251661[/C][/ROW]
[ROW][C]151[/C][C]93815[/C][C]117432.122523462[/C][C]-23617.1225234617[/C][/ROW]
[ROW][C]152[/C][C]86687[/C][C]106531.749440702[/C][C]-19844.7494407018[/C][/ROW]
[ROW][C]153[/C][C]34553[/C][C]30441.35897889[/C][C]4111.64102110996[/C][/ROW]
[ROW][C]154[/C][C]105547[/C][C]127755.677724781[/C][C]-22208.677724781[/C][/ROW]
[ROW][C]155[/C][C]103487[/C][C]112762.047551232[/C][C]-9275.0475512324[/C][/ROW]
[ROW][C]156[/C][C]213688[/C][C]163063.094864269[/C][C]50624.9051357314[/C][/ROW]
[ROW][C]157[/C][C]71220[/C][C]86004.0653838322[/C][C]-14784.0653838322[/C][/ROW]
[ROW][C]158[/C][C]23517[/C][C]29044.1052971274[/C][C]-5527.1052971274[/C][/ROW]
[ROW][C]159[/C][C]56926[/C][C]52080.7939614429[/C][C]4845.20603855714[/C][/ROW]
[ROW][C]160[/C][C]91721[/C][C]76172.592846828[/C][C]15548.407153172[/C][/ROW]
[ROW][C]161[/C][C]115168[/C][C]121617.281241647[/C][C]-6449.28124164664[/C][/ROW]
[ROW][C]162[/C][C]111194[/C][C]33377.7651204581[/C][C]77816.2348795419[/C][/ROW]
[ROW][C]163[/C][C]51009[/C][C]46342.7505249589[/C][C]4666.24947504107[/C][/ROW]
[ROW][C]164[/C][C]135777[/C][C]110367.308566061[/C][C]25409.691433939[/C][/ROW]
[ROW][C]165[/C][C]51513[/C][C]59118.160516219[/C][C]-7605.16051621903[/C][/ROW]
[ROW][C]166[/C][C]74163[/C][C]106080.774768493[/C][C]-31917.7747684932[/C][/ROW]
[ROW][C]167[/C][C]51633[/C][C]76137.050638396[/C][C]-24504.050638396[/C][/ROW]
[ROW][C]168[/C][C]75345[/C][C]36225.1403643291[/C][C]39119.8596356709[/C][/ROW]
[ROW][C]169[/C][C]33416[/C][C]53278.3978280892[/C][C]-19862.3978280892[/C][/ROW]
[ROW][C]170[/C][C]83305[/C][C]50697.135026967[/C][C]32607.864973033[/C][/ROW]
[ROW][C]171[/C][C]98952[/C][C]72239.2247139069[/C][C]26712.7752860931[/C][/ROW]
[ROW][C]172[/C][C]102372[/C][C]103072.890860006[/C][C]-700.890860005686[/C][/ROW]
[ROW][C]173[/C][C]37238[/C][C]23145.7415926699[/C][C]14092.2584073301[/C][/ROW]
[ROW][C]174[/C][C]103772[/C][C]104210.411497999[/C][C]-438.411497999395[/C][/ROW]
[ROW][C]175[/C][C]123969[/C][C]83488.9433508569[/C][C]40480.0566491431[/C][/ROW]
[ROW][C]176[/C][C]27142[/C][C]39617.5597920213[/C][C]-12475.5597920213[/C][/ROW]
[ROW][C]177[/C][C]135400[/C][C]103226.949957769[/C][C]32173.0500422315[/C][/ROW]
[ROW][C]178[/C][C]21399[/C][C]28761.2534873593[/C][C]-7362.25348735928[/C][/ROW]
[ROW][C]179[/C][C]130115[/C][C]119380.376267202[/C][C]10734.6237327984[/C][/ROW]
[ROW][C]180[/C][C]24874[/C][C]35869.6089678576[/C][C]-10995.6089678576[/C][/ROW]
[ROW][C]181[/C][C]34988[/C][C]18847.4122275645[/C][C]16140.5877724355[/C][/ROW]
[ROW][C]182[/C][C]45549[/C][C]19708.2275238267[/C][C]25840.7724761733[/C][/ROW]
[ROW][C]183[/C][C]6023[/C][C]5250.21617498473[/C][C]772.783825015269[/C][/ROW]
[ROW][C]184[/C][C]64466[/C][C]70466.879453626[/C][C]-6000.87945362597[/C][/ROW]
[ROW][C]185[/C][C]54990[/C][C]94099.4548019352[/C][C]-39109.4548019352[/C][/ROW]
[ROW][C]186[/C][C]1644[/C][C]3143.12594242981[/C][C]-1499.12594242981[/C][/ROW]
[ROW][C]187[/C][C]6179[/C][C]14026.3571117679[/C][C]-7847.35711176793[/C][/ROW]
[ROW][C]188[/C][C]3926[/C][C]6612.71315997373[/C][C]-2686.71315997373[/C][/ROW]
[ROW][C]189[/C][C]32755[/C][C]48482.9134833483[/C][C]-15727.9134833483[/C][/ROW]
[ROW][C]190[/C][C]34777[/C][C]25712.3988323888[/C][C]9064.60116761116[/C][/ROW]
[ROW][C]191[/C][C]73224[/C][C]48592.4126679075[/C][C]24631.5873320925[/C][/ROW]
[ROW][C]192[/C][C]27114[/C][C]28617.7552677628[/C][C]-1503.7552677628[/C][/ROW]
[ROW][C]193[/C][C]20760[/C][C]28052.479957181[/C][C]-7292.47995718102[/C][/ROW]
[ROW][C]194[/C][C]37636[/C][C]38354.2958878978[/C][C]-718.295887897772[/C][/ROW]
[ROW][C]195[/C][C]65461[/C][C]74623.568390573[/C][C]-9162.56839057301[/C][/ROW]
[ROW][C]196[/C][C]30080[/C][C]37396.9060947457[/C][C]-7316.90609474572[/C][/ROW]
[ROW][C]197[/C][C]24094[/C][C]36250.2397171646[/C][C]-12156.2397171646[/C][/ROW]
[ROW][C]198[/C][C]69008[/C][C]36216.2398915646[/C][C]32791.7601084354[/C][/ROW]
[ROW][C]199[/C][C]54968[/C][C]34499.66237714[/C][C]20468.33762286[/C][/ROW]
[ROW][C]200[/C][C]46090[/C][C]38993.568966093[/C][C]7096.43103390703[/C][/ROW]
[ROW][C]201[/C][C]27507[/C][C]38498.0275410657[/C][C]-10991.0275410657[/C][/ROW]
[ROW][C]202[/C][C]10672[/C][C]28534.0181755446[/C][C]-17862.0181755446[/C][/ROW]
[ROW][C]203[/C][C]34029[/C][C]34540.6872732664[/C][C]-511.687273266436[/C][/ROW]
[ROW][C]204[/C][C]46300[/C][C]47485.6418599096[/C][C]-1185.64185990958[/C][/ROW]
[ROW][C]205[/C][C]24760[/C][C]33269.145541481[/C][C]-8509.14554148103[/C][/ROW]
[ROW][C]206[/C][C]18779[/C][C]20347.6659584134[/C][C]-1568.66595841336[/C][/ROW]
[ROW][C]207[/C][C]21280[/C][C]31765.9906955022[/C][C]-10485.9906955022[/C][/ROW]
[ROW][C]208[/C][C]40662[/C][C]46261.0787990672[/C][C]-5599.07879906716[/C][/ROW]
[ROW][C]209[/C][C]28987[/C][C]39207.8959226847[/C][C]-10220.8959226847[/C][/ROW]
[ROW][C]210[/C][C]22827[/C][C]47682.9535365343[/C][C]-24855.9535365343[/C][/ROW]
[ROW][C]211[/C][C]18513[/C][C]27579.1180114636[/C][C]-9066.11801146364[/C][/ROW]
[ROW][C]212[/C][C]30594[/C][C]32196.1534381853[/C][C]-1602.15343818535[/C][/ROW]
[ROW][C]213[/C][C]24006[/C][C]30400.1780432599[/C][C]-6394.1780432599[/C][/ROW]
[ROW][C]214[/C][C]27913[/C][C]41828.1167317728[/C][C]-13915.1167317728[/C][/ROW]
[ROW][C]215[/C][C]42744[/C][C]24254.0085227264[/C][C]18489.9914772736[/C][/ROW]
[ROW][C]216[/C][C]12934[/C][C]37172.6260751216[/C][C]-24238.6260751216[/C][/ROW]
[ROW][C]217[/C][C]22574[/C][C]28235.8072876321[/C][C]-5661.80728763206[/C][/ROW]
[ROW][C]218[/C][C]41385[/C][C]28423.0541333156[/C][C]12961.9458666844[/C][/ROW]
[ROW][C]219[/C][C]18653[/C][C]30671.2332374594[/C][C]-12018.2332374594[/C][/ROW]
[ROW][C]220[/C][C]18472[/C][C]29953.2146329954[/C][C]-11481.2146329954[/C][/ROW]
[ROW][C]221[/C][C]30976[/C][C]43054.256922354[/C][C]-12078.256922354[/C][/ROW]
[ROW][C]222[/C][C]63339[/C][C]68890.352762818[/C][C]-5551.35276281799[/C][/ROW]
[ROW][C]223[/C][C]25568[/C][C]39748.7884144549[/C][C]-14180.7884144549[/C][/ROW]
[ROW][C]224[/C][C]33747[/C][C]41548.2675326773[/C][C]-7801.26753267727[/C][/ROW]
[ROW][C]225[/C][C]4154[/C][C]16249.2856924266[/C][C]-12095.2856924266[/C][/ROW]
[ROW][C]226[/C][C]19474[/C][C]28404.21232804[/C][C]-8930.21232804004[/C][/ROW]
[ROW][C]227[/C][C]35130[/C][C]16613.4405616441[/C][C]18516.5594383559[/C][/ROW]
[ROW][C]228[/C][C]39067[/C][C]39433.4452165645[/C][C]-366.445216564512[/C][/ROW]
[ROW][C]229[/C][C]13310[/C][C]23373.825197721[/C][C]-10063.8251977209[/C][/ROW]
[ROW][C]230[/C][C]65892[/C][C]39892.3932197777[/C][C]25999.6067802223[/C][/ROW]
[ROW][C]231[/C][C]4143[/C][C]18031.7401860703[/C][C]-13888.7401860703[/C][/ROW]
[ROW][C]232[/C][C]28579[/C][C]35848.4690027011[/C][C]-7269.46900270113[/C][/ROW]
[ROW][C]233[/C][C]51776[/C][C]43749.5839490898[/C][C]8026.41605091017[/C][/ROW]
[ROW][C]234[/C][C]21152[/C][C]25600.8766246358[/C][C]-4448.87662463582[/C][/ROW]
[ROW][C]235[/C][C]38084[/C][C]34771.9368616035[/C][C]3312.06313839652[/C][/ROW]
[ROW][C]236[/C][C]27717[/C][C]32634.5093656282[/C][C]-4917.50936562821[/C][/ROW]
[ROW][C]237[/C][C]32928[/C][C]31274.3835544548[/C][C]1653.6164455452[/C][/ROW]
[ROW][C]238[/C][C]11342[/C][C]20387.0055591424[/C][C]-9045.00555914243[/C][/ROW]
[ROW][C]239[/C][C]19499[/C][C]31315.9194019946[/C][C]-11816.9194019946[/C][/ROW]
[ROW][C]240[/C][C]16380[/C][C]23350.0232868937[/C][C]-6970.0232868937[/C][/ROW]
[ROW][C]241[/C][C]36874[/C][C]29689.9836752116[/C][C]7184.01632478835[/C][/ROW]
[ROW][C]242[/C][C]48259[/C][C]60623.7764973615[/C][C]-12364.7764973615[/C][/ROW]
[ROW][C]243[/C][C]16734[/C][C]26109.2655550408[/C][C]-9375.26555504077[/C][/ROW]
[ROW][C]244[/C][C]28207[/C][C]28376.0539104579[/C][C]-169.053910457872[/C][/ROW]
[ROW][C]245[/C][C]30143[/C][C]34917.3320617927[/C][C]-4774.33206179274[/C][/ROW]
[ROW][C]246[/C][C]41369[/C][C]35082.3869531403[/C][C]6286.61304685974[/C][/ROW]
[ROW][C]247[/C][C]45833[/C][C]38950.0742909785[/C][C]6882.92570902153[/C][/ROW]
[ROW][C]248[/C][C]29156[/C][C]31130.3661694728[/C][C]-1974.36616947281[/C][/ROW]
[ROW][C]249[/C][C]35944[/C][C]20409.6821205201[/C][C]15534.3178794799[/C][/ROW]
[ROW][C]250[/C][C]36278[/C][C]20509.7658895876[/C][C]15768.2341104124[/C][/ROW]
[ROW][C]251[/C][C]45588[/C][C]49287.2729846153[/C][C]-3699.27298461531[/C][/ROW]
[ROW][C]252[/C][C]45097[/C][C]46965.7554893533[/C][C]-1868.75548935326[/C][/ROW]
[ROW][C]253[/C][C]3895[/C][C]5838.2788696758[/C][C]-1943.2788696758[/C][/ROW]
[ROW][C]254[/C][C]28394[/C][C]31442.1587199262[/C][C]-3048.15871992617[/C][/ROW]
[ROW][C]255[/C][C]18632[/C][C]32605.913229589[/C][C]-13973.913229589[/C][/ROW]
[ROW][C]256[/C][C]2325[/C][C]3800.69957696293[/C][C]-1475.69957696293[/C][/ROW]
[ROW][C]257[/C][C]25139[/C][C]22196.8912336055[/C][C]2942.10876639448[/C][/ROW]
[ROW][C]258[/C][C]27975[/C][C]23950.9406383784[/C][C]4024.05936162155[/C][/ROW]
[ROW][C]259[/C][C]14483[/C][C]25310.6877815638[/C][C]-10827.6877815638[/C][/ROW]
[ROW][C]260[/C][C]13127[/C][C]17560.0392156954[/C][C]-4433.03921569542[/C][/ROW]
[ROW][C]261[/C][C]5839[/C][C]9151.39926493038[/C][C]-3312.39926493038[/C][/ROW]
[ROW][C]262[/C][C]24069[/C][C]41397.3475744784[/C][C]-17328.3475744784[/C][/ROW]
[ROW][C]263[/C][C]3738[/C][C]7832.4309132262[/C][C]-4094.4309132262[/C][/ROW]
[ROW][C]264[/C][C]18625[/C][C]27310.7266152002[/C][C]-8685.72661520023[/C][/ROW]
[ROW][C]265[/C][C]36341[/C][C]28906.6253372135[/C][C]7434.37466278651[/C][/ROW]
[ROW][C]266[/C][C]24548[/C][C]29992.6837129293[/C][C]-5444.68371292933[/C][/ROW]
[ROW][C]267[/C][C]21792[/C][C]36545.1821954219[/C][C]-14753.1821954219[/C][/ROW]
[ROW][C]268[/C][C]26263[/C][C]20986.6571011608[/C][C]5276.34289883921[/C][/ROW]
[ROW][C]269[/C][C]23686[/C][C]41379.9661265294[/C][C]-17693.9661265294[/C][/ROW]
[ROW][C]270[/C][C]49303[/C][C]40030.3525743596[/C][C]9272.64742564045[/C][/ROW]
[ROW][C]271[/C][C]25659[/C][C]30646.4209046044[/C][C]-4987.42090460439[/C][/ROW]
[ROW][C]272[/C][C]28904[/C][C]31972.8207694704[/C][C]-3068.82076947044[/C][/ROW]
[ROW][C]273[/C][C]2781[/C][C]-208.432438895324[/C][C]2989.43243889532[/C][/ROW]
[ROW][C]274[/C][C]29236[/C][C]34618.538560016[/C][C]-5382.53856001601[/C][/ROW]
[ROW][C]275[/C][C]19546[/C][C]19804.2032219651[/C][C]-258.203221965057[/C][/ROW]
[ROW][C]276[/C][C]22818[/C][C]19367.4932036861[/C][C]3450.50679631391[/C][/ROW]
[ROW][C]277[/C][C]32689[/C][C]11137.5504705536[/C][C]21551.4495294464[/C][/ROW]
[ROW][C]278[/C][C]5752[/C][C]7774.33327099857[/C][C]-2022.33327099857[/C][/ROW]
[ROW][C]279[/C][C]22197[/C][C]37753.2238571054[/C][C]-15556.2238571054[/C][/ROW]
[ROW][C]280[/C][C]20055[/C][C]33683.4918756495[/C][C]-13628.4918756495[/C][/ROW]
[ROW][C]281[/C][C]25272[/C][C]31954.6753232035[/C][C]-6682.67532320353[/C][/ROW]
[ROW][C]282[/C][C]82206[/C][C]20494.4973537568[/C][C]61711.5026462432[/C][/ROW]
[ROW][C]283[/C][C]32073[/C][C]17121.527517554[/C][C]14951.472482446[/C][/ROW]
[ROW][C]284[/C][C]5444[/C][C]5018.95803290756[/C][C]425.041967092436[/C][/ROW]
[ROW][C]285[/C][C]20154[/C][C]27076.2196616212[/C][C]-6922.21966162123[/C][/ROW]
[ROW][C]286[/C][C]36944[/C][C]21323.1902240122[/C][C]15620.8097759878[/C][/ROW]
[ROW][C]287[/C][C]8019[/C][C]17945.5893970395[/C][C]-9926.58939703946[/C][/ROW]
[ROW][C]288[/C][C]30884[/C][C]42963.5871697034[/C][C]-12079.5871697034[/C][/ROW]
[ROW][C]289[/C][C]19540[/C][C]28873.1120097669[/C][C]-9333.11200976688[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159960&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159960&T=4

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1112285105373.7196104576911.28038954287
28478685840.6951931633-1054.69519316326
38312374769.83530273078353.1646972693
410119397352.42108271593840.57891728411
53836155274.8887922758-16913.8887922758
66850448496.937569885320007.0624301147
7119182116008.8965875313173.10341246907
82280713369.37481634879437.62518365127
91714021905.6314738654-4765.63147386544
1011617487053.288378972829120.7116210272
115763563782.8164925711-6147.81649257114
1266198107065.149852184-40867.1498521844
137170187313.1593803745-15612.1593803745
145779360437.5426531546-2644.54265315464
158044490662.9847145169-10218.9847145169
165385564684.6050887938-10829.6050887938
1797668123636.112144488-25968.1121444876
18133824108911.57086285124912.4291371491
1910148175926.864442230725554.1355577693
209964580035.531013070219609.4689869298
2111478992934.588580149121854.4114198509
2299052111243.29734498-12191.2973449797
236765486180.5142407412-18526.5142407412
246555374621.330315163-9068.33031516295
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1995496834499.6623771420468.33762286
2004609038993.5689660937096.43103390703
2012750738498.0275410657-10991.0275410657
2021067228534.0181755446-17862.0181755446
2033402934540.6872732664-511.687273266436
2044630047485.6418599096-1185.64185990958
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2102282747682.9535365343-24855.9535365343
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2132400630400.1780432599-6394.1780432599
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2191865330671.2332374594-12018.2332374594
2201847229953.2146329954-11481.2146329954
2213097643054.256922354-12078.256922354
2226333968890.352762818-5551.35276281799
2232556839748.7884144549-14180.7884144549
2243374741548.2675326773-7801.26753267727
225415416249.2856924266-12095.2856924266
2261947428404.21232804-8930.21232804004
2273513016613.440561644118516.5594383559
2283906739433.4452165645-366.445216564512
2291331023373.825197721-10063.8251977209
2306589239892.393219777725999.6067802223
231414318031.7401860703-13888.7401860703
2322857935848.4690027011-7269.46900270113
2335177643749.58394908988026.41605091017
2342115225600.8766246358-4448.87662463582
2353808434771.93686160353312.06313839652
2362771732634.5093656282-4917.50936562821
2373292831274.38355445481653.6164455452
2381134220387.0055591424-9045.00555914243
2391949931315.9194019946-11816.9194019946
2401638023350.0232868937-6970.0232868937
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2431673426109.2655550408-9375.26555504077
2442820728376.0539104579-169.053910457872
2453014334917.3320617927-4774.33206179274
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2474583338950.07429097856882.92570902153
2482915631130.3661694728-1974.36616947281
2493594420409.682120520115534.3178794799
2503627820509.765889587615768.2341104124
2514558849287.2729846153-3699.27298461531
2524509746965.7554893533-1868.75548935326
25338955838.2788696758-1943.2788696758
2542839431442.1587199262-3048.15871992617
2551863232605.913229589-13973.913229589
25623253800.69957696293-1475.69957696293
2572513922196.89123360552942.10876639448
2582797523950.94063837844024.05936162155
2591448325310.6877815638-10827.6877815638
2601312717560.0392156954-4433.03921569542
26158399151.39926493038-3312.39926493038
2622406941397.3475744784-17328.3475744784
26337387832.4309132262-4094.4309132262
2641862527310.7266152002-8685.72661520023
2653634128906.62533721357434.37466278651
2662454829992.6837129293-5444.68371292933
2672179236545.1821954219-14753.1821954219
2682626320986.65710116085276.34289883921
2692368641379.9661265294-17693.9661265294
2704930340030.35257435969272.64742564045
2712565930646.4209046044-4987.42090460439
2722890431972.8207694704-3068.82076947044
2732781-208.4324388953242989.43243889532
2742923634618.538560016-5382.53856001601
2751954619804.2032219651-258.203221965057
2762281819367.49320368613450.50679631391
2773268911137.550470553621551.4495294464
27857527774.33327099857-2022.33327099857
2792219737753.2238571054-15556.2238571054
2802005533683.4918756495-13628.4918756495
2812527231954.6753232035-6682.67532320353
2828220620494.497353756861711.5026462432
2833207317121.52751755414951.472482446
28454445018.95803290756425.041967092436
2852015427076.2196616212-6922.21966162123
2863694421323.190224012215620.8097759878
287801917945.5893970395-9926.58939703946
2883088442963.5871697034-12079.5871697034
2891954028873.1120097669-9333.11200976688






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
130.2966084520356440.5932169040712880.703391547964356
140.2937774538398820.5875549076797640.706222546160118
150.1842223933140570.3684447866281130.815777606685943
160.1033988402364520.2067976804729030.896601159763548
170.05843676947953150.1168735389590630.941563230520469
180.117507108591290.2350142171825810.88249289140871
190.09585274994146960.1917054998829390.90414725005853
200.1420905107520870.2841810215041730.857909489247913
210.2979937834476570.5959875668953150.702006216552343
220.2703690064691590.5407380129383190.729630993530841
230.2342052446096630.4684104892193260.765794755390337
240.1751271483126090.3502542966252190.824872851687391
250.1381021589028540.2762043178057080.861897841097146
260.1401099046586690.2802198093173380.859890095341331
270.1025752312611840.2051504625223670.897424768738816
280.07302749873303830.1460549974660770.926972501266962
290.06263127388258130.1252625477651630.937368726117419
300.05953963679497090.1190792735899420.940460363205029
310.04685501217964220.09371002435928440.953144987820358
320.032490855774640.064981711549280.96750914422536
330.03774782753973920.07549565507947830.962252172460261
340.03293170956504940.06586341913009870.967068290434951
350.0615337362520860.1230674725041720.938466263747914
360.07109428948106920.1421885789621380.928905710518931
370.06375508690388940.1275101738077790.936244913096111
380.04969685126351940.09939370252703890.950303148736481
390.03912506285891970.07825012571783930.96087493714108
400.03378354367306220.06756708734612440.966216456326938
410.03131121117189640.06262242234379270.968688788828104
420.02386685469114190.04773370938228390.976133145308858
430.01776566457282370.03553132914564740.982234335427176
440.01603131727243450.03206263454486910.983968682727565
450.01236029789845440.02472059579690880.987639702101546
460.008890140517183550.01778028103436710.991109859482816
470.007541302139214230.01508260427842850.992458697860786
480.006544156891744860.01308831378348970.993455843108255
490.004499487906674970.008998975813349930.995500512093325
500.007874980092917650.01574996018583530.992125019907082
510.04446438367382080.08892876734764160.955535616326179
520.03783113514869960.07566227029739920.9621688648513
530.03103018397797420.06206036795594840.968969816022026
540.06131936127647490.122638722552950.938680638723525
550.05439420634140240.1087884126828050.945605793658598
560.04596290838753210.09192581677506410.954037091612468
570.03587591996087730.07175183992175450.964124080039123
580.02908475397947720.05816950795895450.970915246020523
590.02248559595826210.04497119191652410.977514404041738
600.01690598014057280.03381196028114570.983094019859427
610.01321862808251050.02643725616502110.986781371917489
620.01639456242203510.03278912484407010.983605437577965
630.02811090607628790.05622181215257580.971889093923712
640.02270253117455110.04540506234910220.977297468825449
650.02362057262744210.04724114525488420.976379427372558
660.02501794895877180.05003589791754360.974982051041228
670.02111501601471140.04223003202942280.978884983985289
680.02285526162721870.04571052325443740.977144738372781
690.02581218700629610.05162437401259220.974187812993704
700.02170169336529060.04340338673058120.978298306634709
710.01667961442925460.03335922885850920.983320385570745
720.01335534344783550.0267106868956710.986644656552164
730.01339272247535720.02678544495071430.986607277524643
740.01967135014228670.03934270028457340.980328649857713
750.01891759165342990.03783518330685980.98108240834657
760.01611635874287420.03223271748574840.983883641257126
770.01761773283189230.03523546566378450.982382267168108
780.01460383149992920.02920766299985840.985396168500071
790.01169831361565670.02339662723131340.988301686384343
800.009930026418785270.01986005283757050.990069973581215
810.007686731148611340.01537346229722270.992313268851389
820.006569158744929770.01313831748985950.99343084125507
830.005084878665586720.01016975733117340.994915121334413
840.003801833657043080.007603667314086160.996198166342957
850.9907714858496780.01845702830064370.00922851415032184
860.9886739497744930.02265210045101490.0113260502255074
870.985944487300180.028111025399640.01405551269982
880.9829503652436070.03409926951278550.0170496347563927
890.9799118665466910.04017626690661830.0200881334533091
900.9791875397676960.04162492046460730.0208124602323036
910.9759725542551460.04805489148970860.0240274457448543
920.9744665717231310.0510668565537380.025533428276869
930.9721629976696330.05567400466073350.0278370023303667
940.9683937165334850.06321256693303010.0316062834665151
950.968210444586960.06357911082608040.0317895554130402
960.9649491567420980.07010168651580360.0350508432579018
970.9712753718348210.05744925633035850.0287246281651792
980.9755172668028060.04896546639438830.0244827331971942
990.9752289585686340.04954208286273290.0247710414313665
1000.970049727467110.05990054506577990.02995027253289
1010.9637136891458760.07257262170824880.0362863108541244
1020.9612630693632330.07747386127353440.0387369306367672
1030.9559353837905730.0881292324188550.0440646162094275
1040.9659205905368210.06815881892635850.0340794094631793
1050.9685744395176280.06285112096474350.0314255604823718
1060.9747765390406610.05044692191867750.0252234609593387
1070.9743994780845150.05120104383097080.0256005219154854
1080.9691922919706390.06161541605872250.0308077080293612
1090.9745743046966720.05085139060665640.0254256953033282
1100.9702614202775740.05947715944485210.0297385797224261
1110.9651896217269420.06962075654611580.0348103782730579
1120.9598080470165530.08038390596689370.0401919529834468
1130.9523458230188210.09530835396235780.0476541769811789
1140.945932984188940.1081340316221210.0540670158110603
1150.9430309592455410.1139380815089180.0569690407544589
1160.9343073996957370.1313852006085260.065692600304263
1170.9227728947028810.1544542105942370.0772271052971186
1180.9116694835058690.1766610329882610.0883305164941306
1190.9995729814465520.0008540371068964030.000427018553448201
1200.9994438858908130.001112228218374650.000556114109187327
1210.9993179789469610.001364042106077840.000682021053038921
1220.9991536271750230.001692745649953470.000846372824976737
1230.9989798538918630.002040292216273360.00102014610813668
1240.9999967107595976.57848080640572e-063.28924040320286e-06
1250.9999971245246215.75095075844007e-062.87547537922004e-06
1260.9999958665638468.26687230749586e-064.13343615374793e-06
1270.9999949082822971.0183435405093e-055.09171770254652e-06
1280.9999924227396071.51545207851095e-057.57726039255473e-06
1290.9999896859296452.06281407091372e-051.03140703545686e-05
1300.9999851689848622.96620302761235e-051.48310151380618e-05
1310.9999789075456394.21849087217213e-052.10924543608606e-05
1320.9999731257326435.37485347150386e-052.68742673575193e-05
1330.9999615829428417.68341143172888e-053.84170571586444e-05
1340.9999547665772539.04668454940965e-054.52334227470483e-05
1350.9999834780773763.30438452477858e-051.65219226238929e-05
1360.9999871655999022.56688001957111e-051.28344000978556e-05
1370.9999817168289043.65663421911964e-051.82831710955982e-05
1380.9999895815096012.08369807984177e-051.04184903992088e-05
1390.9999896488456912.07023086174857e-051.03511543087429e-05
1400.9999849376253083.01247493847663e-051.50623746923831e-05
1410.9999791622166514.16755666983707e-052.08377833491853e-05
1420.9999755953148444.8809370311573e-052.44046851557865e-05
1430.9999662732547586.74534904846842e-053.37267452423421e-05
1440.9999698331489726.03337020560296e-053.01668510280148e-05
1450.999973810132585.23797348394022e-052.61898674197011e-05
1460.9999659452279376.81095441266314e-053.40547720633157e-05
1470.9999894183956672.1163208665831e-051.05816043329155e-05
1480.9999969896003526.02079929559923e-063.01039964779962e-06
1490.999995666028788.66794244033409e-064.33397122016704e-06
1500.9999940531318971.18937362067639e-055.94686810338196e-06
1510.9999951793245349.6413509313539e-064.82067546567695e-06
1520.9999966035960766.79280784781783e-063.39640392390892e-06
1530.9999950029255879.99414882602424e-064.99707441301212e-06
1540.9999976620949044.67581019285429e-062.33790509642715e-06
1550.9999967223332976.55533340628142e-063.27766670314071e-06
1560.9999997758281024.48343795412772e-072.24171897706386e-07
1570.9999996855671956.28865609590301e-073.1443280479515e-07
1580.9999995180525839.63894833694356e-074.81947416847178e-07
1590.9999993385209361.32295812748085e-066.61479063740427e-07
1600.9999990939182991.81216340109509e-069.06081700547543e-07
1610.9999986103192392.77936152289742e-061.38968076144871e-06
1620.9999999992306861.53862753841999e-097.69313769209993e-10
1630.9999999987406562.5186880725232e-091.2593440362616e-09
1640.9999999986337312.73253855454428e-091.36626927727214e-09
1650.9999999978433264.31334871848157e-092.15667435924078e-09
1660.9999999987094862.58102819744931e-091.29051409872466e-09
1670.9999999990198231.9603532970466e-099.801766485233e-10
1680.9999999997242525.51495580053311e-102.75747790026655e-10
1690.9999999997006475.98706046514077e-102.99353023257038e-10
1700.9999999998994512.01098558082628e-101.00549279041314e-10
1710.9999999999497451.00510294895945e-105.02551474479725e-11
1720.9999999999091391.81722935464337e-109.08614677321687e-11
1730.999999999849713.00580357582195e-101.50290178791098e-10
1740.9999999997488045.02392648144552e-102.51196324072276e-10
1750.99999999996147.72004518579769e-113.86002259289884e-11
1760.9999999999425281.14943394578045e-105.74716972890226e-11
1770.9999999999947331.05342937036266e-115.26714685181332e-12
1780.9999999999903011.93974063233963e-119.69870316169817e-12
1790.9999999999959038.19488192720628e-124.09744096360314e-12
1800.9999999999948231.03548109201927e-115.17740546009636e-12
1810.9999999999939161.21686681389113e-116.08433406945566e-12
1820.9999999999992271.5457543767766e-127.72877188388299e-13
1830.9999999999984483.10401036443879e-121.55200518221939e-12
1840.9999999999969476.10636928978518e-123.05318464489259e-12
1850.9999999999989022.1968066140084e-121.0984033070042e-12
1860.9999999999977944.41196641539428e-122.20598320769714e-12
1870.9999999999966566.68818662021959e-123.34409331010979e-12
1880.999999999993551.28989238878466e-116.44946194392332e-12
1890.9999999999914121.71767602701662e-118.58838013508308e-12
1900.9999999999839273.21454496394248e-111.60727248197124e-11
1910.9999999999930851.38302632867768e-116.9151316433884e-12
1920.9999999999861412.77172950741008e-111.38586475370504e-11
1930.9999999999734265.3148592341841e-112.65742961709205e-11
1940.9999999999474421.05114980584671e-105.25574902923353e-11
1950.9999999999009631.98073210110296e-109.90366050551479e-11
1960.9999999998438773.12245139737729e-101.56122569868865e-10
1970.9999999997319585.36084662594906e-102.68042331297453e-10
1980.9999999999506329.87359836000754e-114.93679918000377e-11
1990.9999999999642917.14170915150669e-113.57085457575335e-11
2000.999999999945741.08519611818302e-105.42598059091511e-11
2010.9999999999046621.9067616936477e-109.53380846823849e-11
2020.9999999999745835.08341567851705e-112.54170783925853e-11
2030.9999999999522179.55659244968754e-114.77829622484377e-11
2040.9999999999265581.46883906685983e-107.34419533429916e-11
2050.9999999998576092.84782527824285e-101.42391263912142e-10
2060.9999999997227695.54462453980802e-102.77231226990401e-10
2070.999999999473321.05335925718901e-095.26679628594507e-10
2080.9999999990392761.92144752630478e-099.60723763152392e-10
2090.9999999986979192.60416140722323e-091.30208070361162e-09
2100.999999998810282.379440756765e-091.1897203783825e-09
2110.9999999981404223.71915555400296e-091.85957777700148e-09
2120.9999999964740887.05182376135421e-093.52591188067711e-09
2130.9999999932606581.347868337291e-086.73934168645499e-09
2140.9999999876939642.4612072882469e-081.23060364412345e-08
2150.9999999926337811.47324385867157e-087.36621929335786e-09
2160.99999999181251.63749999815466e-088.18749999077331e-09
2170.9999999841482323.17035356893643e-081.58517678446821e-08
2180.9999999809509383.80981242340181e-081.9049062117009e-08
2190.9999999726445225.47109559345289e-082.73554779672645e-08
2200.9999999629254257.4149150087156e-083.7074575043578e-08
2210.9999999393753731.21249254118075e-076.06246270590374e-08
2220.9999998989313032.0213739408904e-071.0106869704452e-07
2230.9999998466567063.06686588872501e-071.5334329443625e-07
2240.9999997181708655.63658269370921e-072.8182913468546e-07
2250.9999995477595649.04480871384242e-074.52240435692121e-07
2260.999999554532518.90934979055133e-074.45467489527566e-07
2270.9999994361891031.12762179419815e-065.63810897099075e-07
2280.9999989575268922.08494621570345e-061.04247310785173e-06
2290.9999996005506327.98898736604993e-073.99449368302497e-07
2300.999999985074152.98517000802108e-081.49258500401054e-08
2310.9999999722836925.54326161565469e-082.77163080782735e-08
2320.9999999428603891.14279221622928e-075.7139610811464e-08
2330.9999999636969847.26060313295491e-083.63030156647746e-08
2340.999999932055941.35888120883976e-076.79440604419878e-08
2350.9999998579187742.84162452783745e-071.42081226391872e-07
2360.9999997143692215.712615588909e-072.8563077944545e-07
2370.9999994862254381.02754912318101e-065.13774561590503e-07
2380.9999990408681771.91826364633979e-069.59131823169893e-07
2390.9999984792403773.04151924546364e-061.52075962273182e-06
2400.9999970416495765.91670084724649e-062.95835042362325e-06
2410.9999949695590081.00608819849416e-055.0304409924708e-06
2420.9999911772360491.76455279018486e-058.8227639509243e-06
2430.9999832488872263.35022255487725e-051.67511127743862e-05
2440.9999747333039685.05333920640991e-052.52666960320495e-05
2450.999954491449749.10171005206522e-054.55085502603261e-05
2460.9999490290318440.0001019419363123945.09709681561968e-05
2470.9999460517248410.0001078965503179485.39482751589739e-05
2480.9999126106777650.0001747786444698868.73893222349431e-05
2490.999858656431390.0002826871372196470.000141343568609824
2500.9999463570739760.0001072858520488375.36429260244185e-05
2510.9998963898924990.0002072202150025060.000103610107501253
2520.9998498464138510.000300307172297080.00015015358614854
2530.9997170711833740.0005658576332523150.000282928816626158
2540.99947278559120.001054428817599080.000527214408799538
2550.9995875215335480.0008249569329047020.000412478466452351
2560.9992409887477960.001518022504408680.000759011252204339
2570.9986127235329970.002774552934006490.00138727646700324
2580.9981571524607360.003685695078527410.00184284753926371
2590.9970138370049050.005972325990190270.00298616299509514
2600.9956483704754790.008703259049041740.00435162952452087
2610.9932483297555340.01350334048893150.00675167024446576
2620.9888164363054780.02236712738904340.0111835636945217
2630.992461969137750.01507606172450040.00753803086225022
2640.9871526706023480.02569465879530430.0128473293976522
2650.9809705693456950.03805886130861090.0190294306543054
2660.9686810200175070.06263795996498590.031318979982493
2670.9553038015110210.08939239697795730.0446961984889786
2680.9557289294612950.08854214107740960.0442710705387048
2690.9300674374509180.1398651250981640.0699325625490822
2700.8996016019498160.2007967961003670.100398398050184
2710.8570454031539860.2859091936920270.142954596846014
2720.8247702118851190.3504595762297610.175229788114881
2730.7525490250481610.4949019499036780.247450974951839
2740.6426676788685420.7146646422629160.357332321131458
2750.5476102457678850.904779508464230.452389754232115
2760.3833445494907490.7666890989814980.616655450509251

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
13 & 0.296608452035644 & 0.593216904071288 & 0.703391547964356 \tabularnewline
14 & 0.293777453839882 & 0.587554907679764 & 0.706222546160118 \tabularnewline
15 & 0.184222393314057 & 0.368444786628113 & 0.815777606685943 \tabularnewline
16 & 0.103398840236452 & 0.206797680472903 & 0.896601159763548 \tabularnewline
17 & 0.0584367694795315 & 0.116873538959063 & 0.941563230520469 \tabularnewline
18 & 0.11750710859129 & 0.235014217182581 & 0.88249289140871 \tabularnewline
19 & 0.0958527499414696 & 0.191705499882939 & 0.90414725005853 \tabularnewline
20 & 0.142090510752087 & 0.284181021504173 & 0.857909489247913 \tabularnewline
21 & 0.297993783447657 & 0.595987566895315 & 0.702006216552343 \tabularnewline
22 & 0.270369006469159 & 0.540738012938319 & 0.729630993530841 \tabularnewline
23 & 0.234205244609663 & 0.468410489219326 & 0.765794755390337 \tabularnewline
24 & 0.175127148312609 & 0.350254296625219 & 0.824872851687391 \tabularnewline
25 & 0.138102158902854 & 0.276204317805708 & 0.861897841097146 \tabularnewline
26 & 0.140109904658669 & 0.280219809317338 & 0.859890095341331 \tabularnewline
27 & 0.102575231261184 & 0.205150462522367 & 0.897424768738816 \tabularnewline
28 & 0.0730274987330383 & 0.146054997466077 & 0.926972501266962 \tabularnewline
29 & 0.0626312738825813 & 0.125262547765163 & 0.937368726117419 \tabularnewline
30 & 0.0595396367949709 & 0.119079273589942 & 0.940460363205029 \tabularnewline
31 & 0.0468550121796422 & 0.0937100243592844 & 0.953144987820358 \tabularnewline
32 & 0.03249085577464 & 0.06498171154928 & 0.96750914422536 \tabularnewline
33 & 0.0377478275397392 & 0.0754956550794783 & 0.962252172460261 \tabularnewline
34 & 0.0329317095650494 & 0.0658634191300987 & 0.967068290434951 \tabularnewline
35 & 0.061533736252086 & 0.123067472504172 & 0.938466263747914 \tabularnewline
36 & 0.0710942894810692 & 0.142188578962138 & 0.928905710518931 \tabularnewline
37 & 0.0637550869038894 & 0.127510173807779 & 0.936244913096111 \tabularnewline
38 & 0.0496968512635194 & 0.0993937025270389 & 0.950303148736481 \tabularnewline
39 & 0.0391250628589197 & 0.0782501257178393 & 0.96087493714108 \tabularnewline
40 & 0.0337835436730622 & 0.0675670873461244 & 0.966216456326938 \tabularnewline
41 & 0.0313112111718964 & 0.0626224223437927 & 0.968688788828104 \tabularnewline
42 & 0.0238668546911419 & 0.0477337093822839 & 0.976133145308858 \tabularnewline
43 & 0.0177656645728237 & 0.0355313291456474 & 0.982234335427176 \tabularnewline
44 & 0.0160313172724345 & 0.0320626345448691 & 0.983968682727565 \tabularnewline
45 & 0.0123602978984544 & 0.0247205957969088 & 0.987639702101546 \tabularnewline
46 & 0.00889014051718355 & 0.0177802810343671 & 0.991109859482816 \tabularnewline
47 & 0.00754130213921423 & 0.0150826042784285 & 0.992458697860786 \tabularnewline
48 & 0.00654415689174486 & 0.0130883137834897 & 0.993455843108255 \tabularnewline
49 & 0.00449948790667497 & 0.00899897581334993 & 0.995500512093325 \tabularnewline
50 & 0.00787498009291765 & 0.0157499601858353 & 0.992125019907082 \tabularnewline
51 & 0.0444643836738208 & 0.0889287673476416 & 0.955535616326179 \tabularnewline
52 & 0.0378311351486996 & 0.0756622702973992 & 0.9621688648513 \tabularnewline
53 & 0.0310301839779742 & 0.0620603679559484 & 0.968969816022026 \tabularnewline
54 & 0.0613193612764749 & 0.12263872255295 & 0.938680638723525 \tabularnewline
55 & 0.0543942063414024 & 0.108788412682805 & 0.945605793658598 \tabularnewline
56 & 0.0459629083875321 & 0.0919258167750641 & 0.954037091612468 \tabularnewline
57 & 0.0358759199608773 & 0.0717518399217545 & 0.964124080039123 \tabularnewline
58 & 0.0290847539794772 & 0.0581695079589545 & 0.970915246020523 \tabularnewline
59 & 0.0224855959582621 & 0.0449711919165241 & 0.977514404041738 \tabularnewline
60 & 0.0169059801405728 & 0.0338119602811457 & 0.983094019859427 \tabularnewline
61 & 0.0132186280825105 & 0.0264372561650211 & 0.986781371917489 \tabularnewline
62 & 0.0163945624220351 & 0.0327891248440701 & 0.983605437577965 \tabularnewline
63 & 0.0281109060762879 & 0.0562218121525758 & 0.971889093923712 \tabularnewline
64 & 0.0227025311745511 & 0.0454050623491022 & 0.977297468825449 \tabularnewline
65 & 0.0236205726274421 & 0.0472411452548842 & 0.976379427372558 \tabularnewline
66 & 0.0250179489587718 & 0.0500358979175436 & 0.974982051041228 \tabularnewline
67 & 0.0211150160147114 & 0.0422300320294228 & 0.978884983985289 \tabularnewline
68 & 0.0228552616272187 & 0.0457105232544374 & 0.977144738372781 \tabularnewline
69 & 0.0258121870062961 & 0.0516243740125922 & 0.974187812993704 \tabularnewline
70 & 0.0217016933652906 & 0.0434033867305812 & 0.978298306634709 \tabularnewline
71 & 0.0166796144292546 & 0.0333592288585092 & 0.983320385570745 \tabularnewline
72 & 0.0133553434478355 & 0.026710686895671 & 0.986644656552164 \tabularnewline
73 & 0.0133927224753572 & 0.0267854449507143 & 0.986607277524643 \tabularnewline
74 & 0.0196713501422867 & 0.0393427002845734 & 0.980328649857713 \tabularnewline
75 & 0.0189175916534299 & 0.0378351833068598 & 0.98108240834657 \tabularnewline
76 & 0.0161163587428742 & 0.0322327174857484 & 0.983883641257126 \tabularnewline
77 & 0.0176177328318923 & 0.0352354656637845 & 0.982382267168108 \tabularnewline
78 & 0.0146038314999292 & 0.0292076629998584 & 0.985396168500071 \tabularnewline
79 & 0.0116983136156567 & 0.0233966272313134 & 0.988301686384343 \tabularnewline
80 & 0.00993002641878527 & 0.0198600528375705 & 0.990069973581215 \tabularnewline
81 & 0.00768673114861134 & 0.0153734622972227 & 0.992313268851389 \tabularnewline
82 & 0.00656915874492977 & 0.0131383174898595 & 0.99343084125507 \tabularnewline
83 & 0.00508487866558672 & 0.0101697573311734 & 0.994915121334413 \tabularnewline
84 & 0.00380183365704308 & 0.00760366731408616 & 0.996198166342957 \tabularnewline
85 & 0.990771485849678 & 0.0184570283006437 & 0.00922851415032184 \tabularnewline
86 & 0.988673949774493 & 0.0226521004510149 & 0.0113260502255074 \tabularnewline
87 & 0.98594448730018 & 0.02811102539964 & 0.01405551269982 \tabularnewline
88 & 0.982950365243607 & 0.0340992695127855 & 0.0170496347563927 \tabularnewline
89 & 0.979911866546691 & 0.0401762669066183 & 0.0200881334533091 \tabularnewline
90 & 0.979187539767696 & 0.0416249204646073 & 0.0208124602323036 \tabularnewline
91 & 0.975972554255146 & 0.0480548914897086 & 0.0240274457448543 \tabularnewline
92 & 0.974466571723131 & 0.051066856553738 & 0.025533428276869 \tabularnewline
93 & 0.972162997669633 & 0.0556740046607335 & 0.0278370023303667 \tabularnewline
94 & 0.968393716533485 & 0.0632125669330301 & 0.0316062834665151 \tabularnewline
95 & 0.96821044458696 & 0.0635791108260804 & 0.0317895554130402 \tabularnewline
96 & 0.964949156742098 & 0.0701016865158036 & 0.0350508432579018 \tabularnewline
97 & 0.971275371834821 & 0.0574492563303585 & 0.0287246281651792 \tabularnewline
98 & 0.975517266802806 & 0.0489654663943883 & 0.0244827331971942 \tabularnewline
99 & 0.975228958568634 & 0.0495420828627329 & 0.0247710414313665 \tabularnewline
100 & 0.97004972746711 & 0.0599005450657799 & 0.02995027253289 \tabularnewline
101 & 0.963713689145876 & 0.0725726217082488 & 0.0362863108541244 \tabularnewline
102 & 0.961263069363233 & 0.0774738612735344 & 0.0387369306367672 \tabularnewline
103 & 0.955935383790573 & 0.088129232418855 & 0.0440646162094275 \tabularnewline
104 & 0.965920590536821 & 0.0681588189263585 & 0.0340794094631793 \tabularnewline
105 & 0.968574439517628 & 0.0628511209647435 & 0.0314255604823718 \tabularnewline
106 & 0.974776539040661 & 0.0504469219186775 & 0.0252234609593387 \tabularnewline
107 & 0.974399478084515 & 0.0512010438309708 & 0.0256005219154854 \tabularnewline
108 & 0.969192291970639 & 0.0616154160587225 & 0.0308077080293612 \tabularnewline
109 & 0.974574304696672 & 0.0508513906066564 & 0.0254256953033282 \tabularnewline
110 & 0.970261420277574 & 0.0594771594448521 & 0.0297385797224261 \tabularnewline
111 & 0.965189621726942 & 0.0696207565461158 & 0.0348103782730579 \tabularnewline
112 & 0.959808047016553 & 0.0803839059668937 & 0.0401919529834468 \tabularnewline
113 & 0.952345823018821 & 0.0953083539623578 & 0.0476541769811789 \tabularnewline
114 & 0.94593298418894 & 0.108134031622121 & 0.0540670158110603 \tabularnewline
115 & 0.943030959245541 & 0.113938081508918 & 0.0569690407544589 \tabularnewline
116 & 0.934307399695737 & 0.131385200608526 & 0.065692600304263 \tabularnewline
117 & 0.922772894702881 & 0.154454210594237 & 0.0772271052971186 \tabularnewline
118 & 0.911669483505869 & 0.176661032988261 & 0.0883305164941306 \tabularnewline
119 & 0.999572981446552 & 0.000854037106896403 & 0.000427018553448201 \tabularnewline
120 & 0.999443885890813 & 0.00111222821837465 & 0.000556114109187327 \tabularnewline
121 & 0.999317978946961 & 0.00136404210607784 & 0.000682021053038921 \tabularnewline
122 & 0.999153627175023 & 0.00169274564995347 & 0.000846372824976737 \tabularnewline
123 & 0.998979853891863 & 0.00204029221627336 & 0.00102014610813668 \tabularnewline
124 & 0.999996710759597 & 6.57848080640572e-06 & 3.28924040320286e-06 \tabularnewline
125 & 0.999997124524621 & 5.75095075844007e-06 & 2.87547537922004e-06 \tabularnewline
126 & 0.999995866563846 & 8.26687230749586e-06 & 4.13343615374793e-06 \tabularnewline
127 & 0.999994908282297 & 1.0183435405093e-05 & 5.09171770254652e-06 \tabularnewline
128 & 0.999992422739607 & 1.51545207851095e-05 & 7.57726039255473e-06 \tabularnewline
129 & 0.999989685929645 & 2.06281407091372e-05 & 1.03140703545686e-05 \tabularnewline
130 & 0.999985168984862 & 2.96620302761235e-05 & 1.48310151380618e-05 \tabularnewline
131 & 0.999978907545639 & 4.21849087217213e-05 & 2.10924543608606e-05 \tabularnewline
132 & 0.999973125732643 & 5.37485347150386e-05 & 2.68742673575193e-05 \tabularnewline
133 & 0.999961582942841 & 7.68341143172888e-05 & 3.84170571586444e-05 \tabularnewline
134 & 0.999954766577253 & 9.04668454940965e-05 & 4.52334227470483e-05 \tabularnewline
135 & 0.999983478077376 & 3.30438452477858e-05 & 1.65219226238929e-05 \tabularnewline
136 & 0.999987165599902 & 2.56688001957111e-05 & 1.28344000978556e-05 \tabularnewline
137 & 0.999981716828904 & 3.65663421911964e-05 & 1.82831710955982e-05 \tabularnewline
138 & 0.999989581509601 & 2.08369807984177e-05 & 1.04184903992088e-05 \tabularnewline
139 & 0.999989648845691 & 2.07023086174857e-05 & 1.03511543087429e-05 \tabularnewline
140 & 0.999984937625308 & 3.01247493847663e-05 & 1.50623746923831e-05 \tabularnewline
141 & 0.999979162216651 & 4.16755666983707e-05 & 2.08377833491853e-05 \tabularnewline
142 & 0.999975595314844 & 4.8809370311573e-05 & 2.44046851557865e-05 \tabularnewline
143 & 0.999966273254758 & 6.74534904846842e-05 & 3.37267452423421e-05 \tabularnewline
144 & 0.999969833148972 & 6.03337020560296e-05 & 3.01668510280148e-05 \tabularnewline
145 & 0.99997381013258 & 5.23797348394022e-05 & 2.61898674197011e-05 \tabularnewline
146 & 0.999965945227937 & 6.81095441266314e-05 & 3.40547720633157e-05 \tabularnewline
147 & 0.999989418395667 & 2.1163208665831e-05 & 1.05816043329155e-05 \tabularnewline
148 & 0.999996989600352 & 6.02079929559923e-06 & 3.01039964779962e-06 \tabularnewline
149 & 0.99999566602878 & 8.66794244033409e-06 & 4.33397122016704e-06 \tabularnewline
150 & 0.999994053131897 & 1.18937362067639e-05 & 5.94686810338196e-06 \tabularnewline
151 & 0.999995179324534 & 9.6413509313539e-06 & 4.82067546567695e-06 \tabularnewline
152 & 0.999996603596076 & 6.79280784781783e-06 & 3.39640392390892e-06 \tabularnewline
153 & 0.999995002925587 & 9.99414882602424e-06 & 4.99707441301212e-06 \tabularnewline
154 & 0.999997662094904 & 4.67581019285429e-06 & 2.33790509642715e-06 \tabularnewline
155 & 0.999996722333297 & 6.55533340628142e-06 & 3.27766670314071e-06 \tabularnewline
156 & 0.999999775828102 & 4.48343795412772e-07 & 2.24171897706386e-07 \tabularnewline
157 & 0.999999685567195 & 6.28865609590301e-07 & 3.1443280479515e-07 \tabularnewline
158 & 0.999999518052583 & 9.63894833694356e-07 & 4.81947416847178e-07 \tabularnewline
159 & 0.999999338520936 & 1.32295812748085e-06 & 6.61479063740427e-07 \tabularnewline
160 & 0.999999093918299 & 1.81216340109509e-06 & 9.06081700547543e-07 \tabularnewline
161 & 0.999998610319239 & 2.77936152289742e-06 & 1.38968076144871e-06 \tabularnewline
162 & 0.999999999230686 & 1.53862753841999e-09 & 7.69313769209993e-10 \tabularnewline
163 & 0.999999998740656 & 2.5186880725232e-09 & 1.2593440362616e-09 \tabularnewline
164 & 0.999999998633731 & 2.73253855454428e-09 & 1.36626927727214e-09 \tabularnewline
165 & 0.999999997843326 & 4.31334871848157e-09 & 2.15667435924078e-09 \tabularnewline
166 & 0.999999998709486 & 2.58102819744931e-09 & 1.29051409872466e-09 \tabularnewline
167 & 0.999999999019823 & 1.9603532970466e-09 & 9.801766485233e-10 \tabularnewline
168 & 0.999999999724252 & 5.51495580053311e-10 & 2.75747790026655e-10 \tabularnewline
169 & 0.999999999700647 & 5.98706046514077e-10 & 2.99353023257038e-10 \tabularnewline
170 & 0.999999999899451 & 2.01098558082628e-10 & 1.00549279041314e-10 \tabularnewline
171 & 0.999999999949745 & 1.00510294895945e-10 & 5.02551474479725e-11 \tabularnewline
172 & 0.999999999909139 & 1.81722935464337e-10 & 9.08614677321687e-11 \tabularnewline
173 & 0.99999999984971 & 3.00580357582195e-10 & 1.50290178791098e-10 \tabularnewline
174 & 0.999999999748804 & 5.02392648144552e-10 & 2.51196324072276e-10 \tabularnewline
175 & 0.9999999999614 & 7.72004518579769e-11 & 3.86002259289884e-11 \tabularnewline
176 & 0.999999999942528 & 1.14943394578045e-10 & 5.74716972890226e-11 \tabularnewline
177 & 0.999999999994733 & 1.05342937036266e-11 & 5.26714685181332e-12 \tabularnewline
178 & 0.999999999990301 & 1.93974063233963e-11 & 9.69870316169817e-12 \tabularnewline
179 & 0.999999999995903 & 8.19488192720628e-12 & 4.09744096360314e-12 \tabularnewline
180 & 0.999999999994823 & 1.03548109201927e-11 & 5.17740546009636e-12 \tabularnewline
181 & 0.999999999993916 & 1.21686681389113e-11 & 6.08433406945566e-12 \tabularnewline
182 & 0.999999999999227 & 1.5457543767766e-12 & 7.72877188388299e-13 \tabularnewline
183 & 0.999999999998448 & 3.10401036443879e-12 & 1.55200518221939e-12 \tabularnewline
184 & 0.999999999996947 & 6.10636928978518e-12 & 3.05318464489259e-12 \tabularnewline
185 & 0.999999999998902 & 2.1968066140084e-12 & 1.0984033070042e-12 \tabularnewline
186 & 0.999999999997794 & 4.41196641539428e-12 & 2.20598320769714e-12 \tabularnewline
187 & 0.999999999996656 & 6.68818662021959e-12 & 3.34409331010979e-12 \tabularnewline
188 & 0.99999999999355 & 1.28989238878466e-11 & 6.44946194392332e-12 \tabularnewline
189 & 0.999999999991412 & 1.71767602701662e-11 & 8.58838013508308e-12 \tabularnewline
190 & 0.999999999983927 & 3.21454496394248e-11 & 1.60727248197124e-11 \tabularnewline
191 & 0.999999999993085 & 1.38302632867768e-11 & 6.9151316433884e-12 \tabularnewline
192 & 0.999999999986141 & 2.77172950741008e-11 & 1.38586475370504e-11 \tabularnewline
193 & 0.999999999973426 & 5.3148592341841e-11 & 2.65742961709205e-11 \tabularnewline
194 & 0.999999999947442 & 1.05114980584671e-10 & 5.25574902923353e-11 \tabularnewline
195 & 0.999999999900963 & 1.98073210110296e-10 & 9.90366050551479e-11 \tabularnewline
196 & 0.999999999843877 & 3.12245139737729e-10 & 1.56122569868865e-10 \tabularnewline
197 & 0.999999999731958 & 5.36084662594906e-10 & 2.68042331297453e-10 \tabularnewline
198 & 0.999999999950632 & 9.87359836000754e-11 & 4.93679918000377e-11 \tabularnewline
199 & 0.999999999964291 & 7.14170915150669e-11 & 3.57085457575335e-11 \tabularnewline
200 & 0.99999999994574 & 1.08519611818302e-10 & 5.42598059091511e-11 \tabularnewline
201 & 0.999999999904662 & 1.9067616936477e-10 & 9.53380846823849e-11 \tabularnewline
202 & 0.999999999974583 & 5.08341567851705e-11 & 2.54170783925853e-11 \tabularnewline
203 & 0.999999999952217 & 9.55659244968754e-11 & 4.77829622484377e-11 \tabularnewline
204 & 0.999999999926558 & 1.46883906685983e-10 & 7.34419533429916e-11 \tabularnewline
205 & 0.999999999857609 & 2.84782527824285e-10 & 1.42391263912142e-10 \tabularnewline
206 & 0.999999999722769 & 5.54462453980802e-10 & 2.77231226990401e-10 \tabularnewline
207 & 0.99999999947332 & 1.05335925718901e-09 & 5.26679628594507e-10 \tabularnewline
208 & 0.999999999039276 & 1.92144752630478e-09 & 9.60723763152392e-10 \tabularnewline
209 & 0.999999998697919 & 2.60416140722323e-09 & 1.30208070361162e-09 \tabularnewline
210 & 0.99999999881028 & 2.379440756765e-09 & 1.1897203783825e-09 \tabularnewline
211 & 0.999999998140422 & 3.71915555400296e-09 & 1.85957777700148e-09 \tabularnewline
212 & 0.999999996474088 & 7.05182376135421e-09 & 3.52591188067711e-09 \tabularnewline
213 & 0.999999993260658 & 1.347868337291e-08 & 6.73934168645499e-09 \tabularnewline
214 & 0.999999987693964 & 2.4612072882469e-08 & 1.23060364412345e-08 \tabularnewline
215 & 0.999999992633781 & 1.47324385867157e-08 & 7.36621929335786e-09 \tabularnewline
216 & 0.9999999918125 & 1.63749999815466e-08 & 8.18749999077331e-09 \tabularnewline
217 & 0.999999984148232 & 3.17035356893643e-08 & 1.58517678446821e-08 \tabularnewline
218 & 0.999999980950938 & 3.80981242340181e-08 & 1.9049062117009e-08 \tabularnewline
219 & 0.999999972644522 & 5.47109559345289e-08 & 2.73554779672645e-08 \tabularnewline
220 & 0.999999962925425 & 7.4149150087156e-08 & 3.7074575043578e-08 \tabularnewline
221 & 0.999999939375373 & 1.21249254118075e-07 & 6.06246270590374e-08 \tabularnewline
222 & 0.999999898931303 & 2.0213739408904e-07 & 1.0106869704452e-07 \tabularnewline
223 & 0.999999846656706 & 3.06686588872501e-07 & 1.5334329443625e-07 \tabularnewline
224 & 0.999999718170865 & 5.63658269370921e-07 & 2.8182913468546e-07 \tabularnewline
225 & 0.999999547759564 & 9.04480871384242e-07 & 4.52240435692121e-07 \tabularnewline
226 & 0.99999955453251 & 8.90934979055133e-07 & 4.45467489527566e-07 \tabularnewline
227 & 0.999999436189103 & 1.12762179419815e-06 & 5.63810897099075e-07 \tabularnewline
228 & 0.999998957526892 & 2.08494621570345e-06 & 1.04247310785173e-06 \tabularnewline
229 & 0.999999600550632 & 7.98898736604993e-07 & 3.99449368302497e-07 \tabularnewline
230 & 0.99999998507415 & 2.98517000802108e-08 & 1.49258500401054e-08 \tabularnewline
231 & 0.999999972283692 & 5.54326161565469e-08 & 2.77163080782735e-08 \tabularnewline
232 & 0.999999942860389 & 1.14279221622928e-07 & 5.7139610811464e-08 \tabularnewline
233 & 0.999999963696984 & 7.26060313295491e-08 & 3.63030156647746e-08 \tabularnewline
234 & 0.99999993205594 & 1.35888120883976e-07 & 6.79440604419878e-08 \tabularnewline
235 & 0.999999857918774 & 2.84162452783745e-07 & 1.42081226391872e-07 \tabularnewline
236 & 0.999999714369221 & 5.712615588909e-07 & 2.8563077944545e-07 \tabularnewline
237 & 0.999999486225438 & 1.02754912318101e-06 & 5.13774561590503e-07 \tabularnewline
238 & 0.999999040868177 & 1.91826364633979e-06 & 9.59131823169893e-07 \tabularnewline
239 & 0.999998479240377 & 3.04151924546364e-06 & 1.52075962273182e-06 \tabularnewline
240 & 0.999997041649576 & 5.91670084724649e-06 & 2.95835042362325e-06 \tabularnewline
241 & 0.999994969559008 & 1.00608819849416e-05 & 5.0304409924708e-06 \tabularnewline
242 & 0.999991177236049 & 1.76455279018486e-05 & 8.8227639509243e-06 \tabularnewline
243 & 0.999983248887226 & 3.35022255487725e-05 & 1.67511127743862e-05 \tabularnewline
244 & 0.999974733303968 & 5.05333920640991e-05 & 2.52666960320495e-05 \tabularnewline
245 & 0.99995449144974 & 9.10171005206522e-05 & 4.55085502603261e-05 \tabularnewline
246 & 0.999949029031844 & 0.000101941936312394 & 5.09709681561968e-05 \tabularnewline
247 & 0.999946051724841 & 0.000107896550317948 & 5.39482751589739e-05 \tabularnewline
248 & 0.999912610677765 & 0.000174778644469886 & 8.73893222349431e-05 \tabularnewline
249 & 0.99985865643139 & 0.000282687137219647 & 0.000141343568609824 \tabularnewline
250 & 0.999946357073976 & 0.000107285852048837 & 5.36429260244185e-05 \tabularnewline
251 & 0.999896389892499 & 0.000207220215002506 & 0.000103610107501253 \tabularnewline
252 & 0.999849846413851 & 0.00030030717229708 & 0.00015015358614854 \tabularnewline
253 & 0.999717071183374 & 0.000565857633252315 & 0.000282928816626158 \tabularnewline
254 & 0.9994727855912 & 0.00105442881759908 & 0.000527214408799538 \tabularnewline
255 & 0.999587521533548 & 0.000824956932904702 & 0.000412478466452351 \tabularnewline
256 & 0.999240988747796 & 0.00151802250440868 & 0.000759011252204339 \tabularnewline
257 & 0.998612723532997 & 0.00277455293400649 & 0.00138727646700324 \tabularnewline
258 & 0.998157152460736 & 0.00368569507852741 & 0.00184284753926371 \tabularnewline
259 & 0.997013837004905 & 0.00597232599019027 & 0.00298616299509514 \tabularnewline
260 & 0.995648370475479 & 0.00870325904904174 & 0.00435162952452087 \tabularnewline
261 & 0.993248329755534 & 0.0135033404889315 & 0.00675167024446576 \tabularnewline
262 & 0.988816436305478 & 0.0223671273890434 & 0.0111835636945217 \tabularnewline
263 & 0.99246196913775 & 0.0150760617245004 & 0.00753803086225022 \tabularnewline
264 & 0.987152670602348 & 0.0256946587953043 & 0.0128473293976522 \tabularnewline
265 & 0.980970569345695 & 0.0380588613086109 & 0.0190294306543054 \tabularnewline
266 & 0.968681020017507 & 0.0626379599649859 & 0.031318979982493 \tabularnewline
267 & 0.955303801511021 & 0.0893923969779573 & 0.0446961984889786 \tabularnewline
268 & 0.955728929461295 & 0.0885421410774096 & 0.0442710705387048 \tabularnewline
269 & 0.930067437450918 & 0.139865125098164 & 0.0699325625490822 \tabularnewline
270 & 0.899601601949816 & 0.200796796100367 & 0.100398398050184 \tabularnewline
271 & 0.857045403153986 & 0.285909193692027 & 0.142954596846014 \tabularnewline
272 & 0.824770211885119 & 0.350459576229761 & 0.175229788114881 \tabularnewline
273 & 0.752549025048161 & 0.494901949903678 & 0.247450974951839 \tabularnewline
274 & 0.642667678868542 & 0.714664642262916 & 0.357332321131458 \tabularnewline
275 & 0.547610245767885 & 0.90477950846423 & 0.452389754232115 \tabularnewline
276 & 0.383344549490749 & 0.766689098981498 & 0.616655450509251 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159960&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]13[/C][C]0.296608452035644[/C][C]0.593216904071288[/C][C]0.703391547964356[/C][/ROW]
[ROW][C]14[/C][C]0.293777453839882[/C][C]0.587554907679764[/C][C]0.706222546160118[/C][/ROW]
[ROW][C]15[/C][C]0.184222393314057[/C][C]0.368444786628113[/C][C]0.815777606685943[/C][/ROW]
[ROW][C]16[/C][C]0.103398840236452[/C][C]0.206797680472903[/C][C]0.896601159763548[/C][/ROW]
[ROW][C]17[/C][C]0.0584367694795315[/C][C]0.116873538959063[/C][C]0.941563230520469[/C][/ROW]
[ROW][C]18[/C][C]0.11750710859129[/C][C]0.235014217182581[/C][C]0.88249289140871[/C][/ROW]
[ROW][C]19[/C][C]0.0958527499414696[/C][C]0.191705499882939[/C][C]0.90414725005853[/C][/ROW]
[ROW][C]20[/C][C]0.142090510752087[/C][C]0.284181021504173[/C][C]0.857909489247913[/C][/ROW]
[ROW][C]21[/C][C]0.297993783447657[/C][C]0.595987566895315[/C][C]0.702006216552343[/C][/ROW]
[ROW][C]22[/C][C]0.270369006469159[/C][C]0.540738012938319[/C][C]0.729630993530841[/C][/ROW]
[ROW][C]23[/C][C]0.234205244609663[/C][C]0.468410489219326[/C][C]0.765794755390337[/C][/ROW]
[ROW][C]24[/C][C]0.175127148312609[/C][C]0.350254296625219[/C][C]0.824872851687391[/C][/ROW]
[ROW][C]25[/C][C]0.138102158902854[/C][C]0.276204317805708[/C][C]0.861897841097146[/C][/ROW]
[ROW][C]26[/C][C]0.140109904658669[/C][C]0.280219809317338[/C][C]0.859890095341331[/C][/ROW]
[ROW][C]27[/C][C]0.102575231261184[/C][C]0.205150462522367[/C][C]0.897424768738816[/C][/ROW]
[ROW][C]28[/C][C]0.0730274987330383[/C][C]0.146054997466077[/C][C]0.926972501266962[/C][/ROW]
[ROW][C]29[/C][C]0.0626312738825813[/C][C]0.125262547765163[/C][C]0.937368726117419[/C][/ROW]
[ROW][C]30[/C][C]0.0595396367949709[/C][C]0.119079273589942[/C][C]0.940460363205029[/C][/ROW]
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[ROW][C]35[/C][C]0.061533736252086[/C][C]0.123067472504172[/C][C]0.938466263747914[/C][/ROW]
[ROW][C]36[/C][C]0.0710942894810692[/C][C]0.142188578962138[/C][C]0.928905710518931[/C][/ROW]
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[ROW][C]48[/C][C]0.00654415689174486[/C][C]0.0130883137834897[/C][C]0.993455843108255[/C][/ROW]
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[ROW][C]53[/C][C]0.0310301839779742[/C][C]0.0620603679559484[/C][C]0.968969816022026[/C][/ROW]
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[ROW][C]90[/C][C]0.979187539767696[/C][C]0.0416249204646073[/C][C]0.0208124602323036[/C][/ROW]
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[ROW][C]92[/C][C]0.974466571723131[/C][C]0.051066856553738[/C][C]0.025533428276869[/C][/ROW]
[ROW][C]93[/C][C]0.972162997669633[/C][C]0.0556740046607335[/C][C]0.0278370023303667[/C][/ROW]
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[ROW][C]98[/C][C]0.975517266802806[/C][C]0.0489654663943883[/C][C]0.0244827331971942[/C][/ROW]
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[ROW][C]106[/C][C]0.974776539040661[/C][C]0.0504469219186775[/C][C]0.0252234609593387[/C][/ROW]
[ROW][C]107[/C][C]0.974399478084515[/C][C]0.0512010438309708[/C][C]0.0256005219154854[/C][/ROW]
[ROW][C]108[/C][C]0.969192291970639[/C][C]0.0616154160587225[/C][C]0.0308077080293612[/C][/ROW]
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[ROW][C]112[/C][C]0.959808047016553[/C][C]0.0803839059668937[/C][C]0.0401919529834468[/C][/ROW]
[ROW][C]113[/C][C]0.952345823018821[/C][C]0.0953083539623578[/C][C]0.0476541769811789[/C][/ROW]
[ROW][C]114[/C][C]0.94593298418894[/C][C]0.108134031622121[/C][C]0.0540670158110603[/C][/ROW]
[ROW][C]115[/C][C]0.943030959245541[/C][C]0.113938081508918[/C][C]0.0569690407544589[/C][/ROW]
[ROW][C]116[/C][C]0.934307399695737[/C][C]0.131385200608526[/C][C]0.065692600304263[/C][/ROW]
[ROW][C]117[/C][C]0.922772894702881[/C][C]0.154454210594237[/C][C]0.0772271052971186[/C][/ROW]
[ROW][C]118[/C][C]0.911669483505869[/C][C]0.176661032988261[/C][C]0.0883305164941306[/C][/ROW]
[ROW][C]119[/C][C]0.999572981446552[/C][C]0.000854037106896403[/C][C]0.000427018553448201[/C][/ROW]
[ROW][C]120[/C][C]0.999443885890813[/C][C]0.00111222821837465[/C][C]0.000556114109187327[/C][/ROW]
[ROW][C]121[/C][C]0.999317978946961[/C][C]0.00136404210607784[/C][C]0.000682021053038921[/C][/ROW]
[ROW][C]122[/C][C]0.999153627175023[/C][C]0.00169274564995347[/C][C]0.000846372824976737[/C][/ROW]
[ROW][C]123[/C][C]0.998979853891863[/C][C]0.00204029221627336[/C][C]0.00102014610813668[/C][/ROW]
[ROW][C]124[/C][C]0.999996710759597[/C][C]6.57848080640572e-06[/C][C]3.28924040320286e-06[/C][/ROW]
[ROW][C]125[/C][C]0.999997124524621[/C][C]5.75095075844007e-06[/C][C]2.87547537922004e-06[/C][/ROW]
[ROW][C]126[/C][C]0.999995866563846[/C][C]8.26687230749586e-06[/C][C]4.13343615374793e-06[/C][/ROW]
[ROW][C]127[/C][C]0.999994908282297[/C][C]1.0183435405093e-05[/C][C]5.09171770254652e-06[/C][/ROW]
[ROW][C]128[/C][C]0.999992422739607[/C][C]1.51545207851095e-05[/C][C]7.57726039255473e-06[/C][/ROW]
[ROW][C]129[/C][C]0.999989685929645[/C][C]2.06281407091372e-05[/C][C]1.03140703545686e-05[/C][/ROW]
[ROW][C]130[/C][C]0.999985168984862[/C][C]2.96620302761235e-05[/C][C]1.48310151380618e-05[/C][/ROW]
[ROW][C]131[/C][C]0.999978907545639[/C][C]4.21849087217213e-05[/C][C]2.10924543608606e-05[/C][/ROW]
[ROW][C]132[/C][C]0.999973125732643[/C][C]5.37485347150386e-05[/C][C]2.68742673575193e-05[/C][/ROW]
[ROW][C]133[/C][C]0.999961582942841[/C][C]7.68341143172888e-05[/C][C]3.84170571586444e-05[/C][/ROW]
[ROW][C]134[/C][C]0.999954766577253[/C][C]9.04668454940965e-05[/C][C]4.52334227470483e-05[/C][/ROW]
[ROW][C]135[/C][C]0.999983478077376[/C][C]3.30438452477858e-05[/C][C]1.65219226238929e-05[/C][/ROW]
[ROW][C]136[/C][C]0.999987165599902[/C][C]2.56688001957111e-05[/C][C]1.28344000978556e-05[/C][/ROW]
[ROW][C]137[/C][C]0.999981716828904[/C][C]3.65663421911964e-05[/C][C]1.82831710955982e-05[/C][/ROW]
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[ROW][C]143[/C][C]0.999966273254758[/C][C]6.74534904846842e-05[/C][C]3.37267452423421e-05[/C][/ROW]
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[ROW][C]147[/C][C]0.999989418395667[/C][C]2.1163208665831e-05[/C][C]1.05816043329155e-05[/C][/ROW]
[ROW][C]148[/C][C]0.999996989600352[/C][C]6.02079929559923e-06[/C][C]3.01039964779962e-06[/C][/ROW]
[ROW][C]149[/C][C]0.99999566602878[/C][C]8.66794244033409e-06[/C][C]4.33397122016704e-06[/C][/ROW]
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[ROW][C]152[/C][C]0.999996603596076[/C][C]6.79280784781783e-06[/C][C]3.39640392390892e-06[/C][/ROW]
[ROW][C]153[/C][C]0.999995002925587[/C][C]9.99414882602424e-06[/C][C]4.99707441301212e-06[/C][/ROW]
[ROW][C]154[/C][C]0.999997662094904[/C][C]4.67581019285429e-06[/C][C]2.33790509642715e-06[/C][/ROW]
[ROW][C]155[/C][C]0.999996722333297[/C][C]6.55533340628142e-06[/C][C]3.27766670314071e-06[/C][/ROW]
[ROW][C]156[/C][C]0.999999775828102[/C][C]4.48343795412772e-07[/C][C]2.24171897706386e-07[/C][/ROW]
[ROW][C]157[/C][C]0.999999685567195[/C][C]6.28865609590301e-07[/C][C]3.1443280479515e-07[/C][/ROW]
[ROW][C]158[/C][C]0.999999518052583[/C][C]9.63894833694356e-07[/C][C]4.81947416847178e-07[/C][/ROW]
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[ROW][C]160[/C][C]0.999999093918299[/C][C]1.81216340109509e-06[/C][C]9.06081700547543e-07[/C][/ROW]
[ROW][C]161[/C][C]0.999998610319239[/C][C]2.77936152289742e-06[/C][C]1.38968076144871e-06[/C][/ROW]
[ROW][C]162[/C][C]0.999999999230686[/C][C]1.53862753841999e-09[/C][C]7.69313769209993e-10[/C][/ROW]
[ROW][C]163[/C][C]0.999999998740656[/C][C]2.5186880725232e-09[/C][C]1.2593440362616e-09[/C][/ROW]
[ROW][C]164[/C][C]0.999999998633731[/C][C]2.73253855454428e-09[/C][C]1.36626927727214e-09[/C][/ROW]
[ROW][C]165[/C][C]0.999999997843326[/C][C]4.31334871848157e-09[/C][C]2.15667435924078e-09[/C][/ROW]
[ROW][C]166[/C][C]0.999999998709486[/C][C]2.58102819744931e-09[/C][C]1.29051409872466e-09[/C][/ROW]
[ROW][C]167[/C][C]0.999999999019823[/C][C]1.9603532970466e-09[/C][C]9.801766485233e-10[/C][/ROW]
[ROW][C]168[/C][C]0.999999999724252[/C][C]5.51495580053311e-10[/C][C]2.75747790026655e-10[/C][/ROW]
[ROW][C]169[/C][C]0.999999999700647[/C][C]5.98706046514077e-10[/C][C]2.99353023257038e-10[/C][/ROW]
[ROW][C]170[/C][C]0.999999999899451[/C][C]2.01098558082628e-10[/C][C]1.00549279041314e-10[/C][/ROW]
[ROW][C]171[/C][C]0.999999999949745[/C][C]1.00510294895945e-10[/C][C]5.02551474479725e-11[/C][/ROW]
[ROW][C]172[/C][C]0.999999999909139[/C][C]1.81722935464337e-10[/C][C]9.08614677321687e-11[/C][/ROW]
[ROW][C]173[/C][C]0.99999999984971[/C][C]3.00580357582195e-10[/C][C]1.50290178791098e-10[/C][/ROW]
[ROW][C]174[/C][C]0.999999999748804[/C][C]5.02392648144552e-10[/C][C]2.51196324072276e-10[/C][/ROW]
[ROW][C]175[/C][C]0.9999999999614[/C][C]7.72004518579769e-11[/C][C]3.86002259289884e-11[/C][/ROW]
[ROW][C]176[/C][C]0.999999999942528[/C][C]1.14943394578045e-10[/C][C]5.74716972890226e-11[/C][/ROW]
[ROW][C]177[/C][C]0.999999999994733[/C][C]1.05342937036266e-11[/C][C]5.26714685181332e-12[/C][/ROW]
[ROW][C]178[/C][C]0.999999999990301[/C][C]1.93974063233963e-11[/C][C]9.69870316169817e-12[/C][/ROW]
[ROW][C]179[/C][C]0.999999999995903[/C][C]8.19488192720628e-12[/C][C]4.09744096360314e-12[/C][/ROW]
[ROW][C]180[/C][C]0.999999999994823[/C][C]1.03548109201927e-11[/C][C]5.17740546009636e-12[/C][/ROW]
[ROW][C]181[/C][C]0.999999999993916[/C][C]1.21686681389113e-11[/C][C]6.08433406945566e-12[/C][/ROW]
[ROW][C]182[/C][C]0.999999999999227[/C][C]1.5457543767766e-12[/C][C]7.72877188388299e-13[/C][/ROW]
[ROW][C]183[/C][C]0.999999999998448[/C][C]3.10401036443879e-12[/C][C]1.55200518221939e-12[/C][/ROW]
[ROW][C]184[/C][C]0.999999999996947[/C][C]6.10636928978518e-12[/C][C]3.05318464489259e-12[/C][/ROW]
[ROW][C]185[/C][C]0.999999999998902[/C][C]2.1968066140084e-12[/C][C]1.0984033070042e-12[/C][/ROW]
[ROW][C]186[/C][C]0.999999999997794[/C][C]4.41196641539428e-12[/C][C]2.20598320769714e-12[/C][/ROW]
[ROW][C]187[/C][C]0.999999999996656[/C][C]6.68818662021959e-12[/C][C]3.34409331010979e-12[/C][/ROW]
[ROW][C]188[/C][C]0.99999999999355[/C][C]1.28989238878466e-11[/C][C]6.44946194392332e-12[/C][/ROW]
[ROW][C]189[/C][C]0.999999999991412[/C][C]1.71767602701662e-11[/C][C]8.58838013508308e-12[/C][/ROW]
[ROW][C]190[/C][C]0.999999999983927[/C][C]3.21454496394248e-11[/C][C]1.60727248197124e-11[/C][/ROW]
[ROW][C]191[/C][C]0.999999999993085[/C][C]1.38302632867768e-11[/C][C]6.9151316433884e-12[/C][/ROW]
[ROW][C]192[/C][C]0.999999999986141[/C][C]2.77172950741008e-11[/C][C]1.38586475370504e-11[/C][/ROW]
[ROW][C]193[/C][C]0.999999999973426[/C][C]5.3148592341841e-11[/C][C]2.65742961709205e-11[/C][/ROW]
[ROW][C]194[/C][C]0.999999999947442[/C][C]1.05114980584671e-10[/C][C]5.25574902923353e-11[/C][/ROW]
[ROW][C]195[/C][C]0.999999999900963[/C][C]1.98073210110296e-10[/C][C]9.90366050551479e-11[/C][/ROW]
[ROW][C]196[/C][C]0.999999999843877[/C][C]3.12245139737729e-10[/C][C]1.56122569868865e-10[/C][/ROW]
[ROW][C]197[/C][C]0.999999999731958[/C][C]5.36084662594906e-10[/C][C]2.68042331297453e-10[/C][/ROW]
[ROW][C]198[/C][C]0.999999999950632[/C][C]9.87359836000754e-11[/C][C]4.93679918000377e-11[/C][/ROW]
[ROW][C]199[/C][C]0.999999999964291[/C][C]7.14170915150669e-11[/C][C]3.57085457575335e-11[/C][/ROW]
[ROW][C]200[/C][C]0.99999999994574[/C][C]1.08519611818302e-10[/C][C]5.42598059091511e-11[/C][/ROW]
[ROW][C]201[/C][C]0.999999999904662[/C][C]1.9067616936477e-10[/C][C]9.53380846823849e-11[/C][/ROW]
[ROW][C]202[/C][C]0.999999999974583[/C][C]5.08341567851705e-11[/C][C]2.54170783925853e-11[/C][/ROW]
[ROW][C]203[/C][C]0.999999999952217[/C][C]9.55659244968754e-11[/C][C]4.77829622484377e-11[/C][/ROW]
[ROW][C]204[/C][C]0.999999999926558[/C][C]1.46883906685983e-10[/C][C]7.34419533429916e-11[/C][/ROW]
[ROW][C]205[/C][C]0.999999999857609[/C][C]2.84782527824285e-10[/C][C]1.42391263912142e-10[/C][/ROW]
[ROW][C]206[/C][C]0.999999999722769[/C][C]5.54462453980802e-10[/C][C]2.77231226990401e-10[/C][/ROW]
[ROW][C]207[/C][C]0.99999999947332[/C][C]1.05335925718901e-09[/C][C]5.26679628594507e-10[/C][/ROW]
[ROW][C]208[/C][C]0.999999999039276[/C][C]1.92144752630478e-09[/C][C]9.60723763152392e-10[/C][/ROW]
[ROW][C]209[/C][C]0.999999998697919[/C][C]2.60416140722323e-09[/C][C]1.30208070361162e-09[/C][/ROW]
[ROW][C]210[/C][C]0.99999999881028[/C][C]2.379440756765e-09[/C][C]1.1897203783825e-09[/C][/ROW]
[ROW][C]211[/C][C]0.999999998140422[/C][C]3.71915555400296e-09[/C][C]1.85957777700148e-09[/C][/ROW]
[ROW][C]212[/C][C]0.999999996474088[/C][C]7.05182376135421e-09[/C][C]3.52591188067711e-09[/C][/ROW]
[ROW][C]213[/C][C]0.999999993260658[/C][C]1.347868337291e-08[/C][C]6.73934168645499e-09[/C][/ROW]
[ROW][C]214[/C][C]0.999999987693964[/C][C]2.4612072882469e-08[/C][C]1.23060364412345e-08[/C][/ROW]
[ROW][C]215[/C][C]0.999999992633781[/C][C]1.47324385867157e-08[/C][C]7.36621929335786e-09[/C][/ROW]
[ROW][C]216[/C][C]0.9999999918125[/C][C]1.63749999815466e-08[/C][C]8.18749999077331e-09[/C][/ROW]
[ROW][C]217[/C][C]0.999999984148232[/C][C]3.17035356893643e-08[/C][C]1.58517678446821e-08[/C][/ROW]
[ROW][C]218[/C][C]0.999999980950938[/C][C]3.80981242340181e-08[/C][C]1.9049062117009e-08[/C][/ROW]
[ROW][C]219[/C][C]0.999999972644522[/C][C]5.47109559345289e-08[/C][C]2.73554779672645e-08[/C][/ROW]
[ROW][C]220[/C][C]0.999999962925425[/C][C]7.4149150087156e-08[/C][C]3.7074575043578e-08[/C][/ROW]
[ROW][C]221[/C][C]0.999999939375373[/C][C]1.21249254118075e-07[/C][C]6.06246270590374e-08[/C][/ROW]
[ROW][C]222[/C][C]0.999999898931303[/C][C]2.0213739408904e-07[/C][C]1.0106869704452e-07[/C][/ROW]
[ROW][C]223[/C][C]0.999999846656706[/C][C]3.06686588872501e-07[/C][C]1.5334329443625e-07[/C][/ROW]
[ROW][C]224[/C][C]0.999999718170865[/C][C]5.63658269370921e-07[/C][C]2.8182913468546e-07[/C][/ROW]
[ROW][C]225[/C][C]0.999999547759564[/C][C]9.04480871384242e-07[/C][C]4.52240435692121e-07[/C][/ROW]
[ROW][C]226[/C][C]0.99999955453251[/C][C]8.90934979055133e-07[/C][C]4.45467489527566e-07[/C][/ROW]
[ROW][C]227[/C][C]0.999999436189103[/C][C]1.12762179419815e-06[/C][C]5.63810897099075e-07[/C][/ROW]
[ROW][C]228[/C][C]0.999998957526892[/C][C]2.08494621570345e-06[/C][C]1.04247310785173e-06[/C][/ROW]
[ROW][C]229[/C][C]0.999999600550632[/C][C]7.98898736604993e-07[/C][C]3.99449368302497e-07[/C][/ROW]
[ROW][C]230[/C][C]0.99999998507415[/C][C]2.98517000802108e-08[/C][C]1.49258500401054e-08[/C][/ROW]
[ROW][C]231[/C][C]0.999999972283692[/C][C]5.54326161565469e-08[/C][C]2.77163080782735e-08[/C][/ROW]
[ROW][C]232[/C][C]0.999999942860389[/C][C]1.14279221622928e-07[/C][C]5.7139610811464e-08[/C][/ROW]
[ROW][C]233[/C][C]0.999999963696984[/C][C]7.26060313295491e-08[/C][C]3.63030156647746e-08[/C][/ROW]
[ROW][C]234[/C][C]0.99999993205594[/C][C]1.35888120883976e-07[/C][C]6.79440604419878e-08[/C][/ROW]
[ROW][C]235[/C][C]0.999999857918774[/C][C]2.84162452783745e-07[/C][C]1.42081226391872e-07[/C][/ROW]
[ROW][C]236[/C][C]0.999999714369221[/C][C]5.712615588909e-07[/C][C]2.8563077944545e-07[/C][/ROW]
[ROW][C]237[/C][C]0.999999486225438[/C][C]1.02754912318101e-06[/C][C]5.13774561590503e-07[/C][/ROW]
[ROW][C]238[/C][C]0.999999040868177[/C][C]1.91826364633979e-06[/C][C]9.59131823169893e-07[/C][/ROW]
[ROW][C]239[/C][C]0.999998479240377[/C][C]3.04151924546364e-06[/C][C]1.52075962273182e-06[/C][/ROW]
[ROW][C]240[/C][C]0.999997041649576[/C][C]5.91670084724649e-06[/C][C]2.95835042362325e-06[/C][/ROW]
[ROW][C]241[/C][C]0.999994969559008[/C][C]1.00608819849416e-05[/C][C]5.0304409924708e-06[/C][/ROW]
[ROW][C]242[/C][C]0.999991177236049[/C][C]1.76455279018486e-05[/C][C]8.8227639509243e-06[/C][/ROW]
[ROW][C]243[/C][C]0.999983248887226[/C][C]3.35022255487725e-05[/C][C]1.67511127743862e-05[/C][/ROW]
[ROW][C]244[/C][C]0.999974733303968[/C][C]5.05333920640991e-05[/C][C]2.52666960320495e-05[/C][/ROW]
[ROW][C]245[/C][C]0.99995449144974[/C][C]9.10171005206522e-05[/C][C]4.55085502603261e-05[/C][/ROW]
[ROW][C]246[/C][C]0.999949029031844[/C][C]0.000101941936312394[/C][C]5.09709681561968e-05[/C][/ROW]
[ROW][C]247[/C][C]0.999946051724841[/C][C]0.000107896550317948[/C][C]5.39482751589739e-05[/C][/ROW]
[ROW][C]248[/C][C]0.999912610677765[/C][C]0.000174778644469886[/C][C]8.73893222349431e-05[/C][/ROW]
[ROW][C]249[/C][C]0.99985865643139[/C][C]0.000282687137219647[/C][C]0.000141343568609824[/C][/ROW]
[ROW][C]250[/C][C]0.999946357073976[/C][C]0.000107285852048837[/C][C]5.36429260244185e-05[/C][/ROW]
[ROW][C]251[/C][C]0.999896389892499[/C][C]0.000207220215002506[/C][C]0.000103610107501253[/C][/ROW]
[ROW][C]252[/C][C]0.999849846413851[/C][C]0.00030030717229708[/C][C]0.00015015358614854[/C][/ROW]
[ROW][C]253[/C][C]0.999717071183374[/C][C]0.000565857633252315[/C][C]0.000282928816626158[/C][/ROW]
[ROW][C]254[/C][C]0.9994727855912[/C][C]0.00105442881759908[/C][C]0.000527214408799538[/C][/ROW]
[ROW][C]255[/C][C]0.999587521533548[/C][C]0.000824956932904702[/C][C]0.000412478466452351[/C][/ROW]
[ROW][C]256[/C][C]0.999240988747796[/C][C]0.00151802250440868[/C][C]0.000759011252204339[/C][/ROW]
[ROW][C]257[/C][C]0.998612723532997[/C][C]0.00277455293400649[/C][C]0.00138727646700324[/C][/ROW]
[ROW][C]258[/C][C]0.998157152460736[/C][C]0.00368569507852741[/C][C]0.00184284753926371[/C][/ROW]
[ROW][C]259[/C][C]0.997013837004905[/C][C]0.00597232599019027[/C][C]0.00298616299509514[/C][/ROW]
[ROW][C]260[/C][C]0.995648370475479[/C][C]0.00870325904904174[/C][C]0.00435162952452087[/C][/ROW]
[ROW][C]261[/C][C]0.993248329755534[/C][C]0.0135033404889315[/C][C]0.00675167024446576[/C][/ROW]
[ROW][C]262[/C][C]0.988816436305478[/C][C]0.0223671273890434[/C][C]0.0111835636945217[/C][/ROW]
[ROW][C]263[/C][C]0.99246196913775[/C][C]0.0150760617245004[/C][C]0.00753803086225022[/C][/ROW]
[ROW][C]264[/C][C]0.987152670602348[/C][C]0.0256946587953043[/C][C]0.0128473293976522[/C][/ROW]
[ROW][C]265[/C][C]0.980970569345695[/C][C]0.0380588613086109[/C][C]0.0190294306543054[/C][/ROW]
[ROW][C]266[/C][C]0.968681020017507[/C][C]0.0626379599649859[/C][C]0.031318979982493[/C][/ROW]
[ROW][C]267[/C][C]0.955303801511021[/C][C]0.0893923969779573[/C][C]0.0446961984889786[/C][/ROW]
[ROW][C]268[/C][C]0.955728929461295[/C][C]0.0885421410774096[/C][C]0.0442710705387048[/C][/ROW]
[ROW][C]269[/C][C]0.930067437450918[/C][C]0.139865125098164[/C][C]0.0699325625490822[/C][/ROW]
[ROW][C]270[/C][C]0.899601601949816[/C][C]0.200796796100367[/C][C]0.100398398050184[/C][/ROW]
[ROW][C]271[/C][C]0.857045403153986[/C][C]0.285909193692027[/C][C]0.142954596846014[/C][/ROW]
[ROW][C]272[/C][C]0.824770211885119[/C][C]0.350459576229761[/C][C]0.175229788114881[/C][/ROW]
[ROW][C]273[/C][C]0.752549025048161[/C][C]0.494901949903678[/C][C]0.247450974951839[/C][/ROW]
[ROW][C]274[/C][C]0.642667678868542[/C][C]0.714664642262916[/C][C]0.357332321131458[/C][/ROW]
[ROW][C]275[/C][C]0.547610245767885[/C][C]0.90477950846423[/C][C]0.452389754232115[/C][/ROW]
[ROW][C]276[/C][C]0.383344549490749[/C][C]0.766689098981498[/C][C]0.616655450509251[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159960&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159960&T=5

As an alternative you can also use a QR Code:  
QR Code


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
130.2966084520356440.5932169040712880.703391547964356
140.2937774538398820.5875549076797640.706222546160118
150.1842223933140570.3684447866281130.815777606685943
160.1033988402364520.2067976804729030.896601159763548
170.05843676947953150.1168735389590630.941563230520469
180.117507108591290.2350142171825810.88249289140871
190.09585274994146960.1917054998829390.90414725005853
200.1420905107520870.2841810215041730.857909489247913
210.2979937834476570.5959875668953150.702006216552343
220.2703690064691590.5407380129383190.729630993530841
230.2342052446096630.4684104892193260.765794755390337
240.1751271483126090.3502542966252190.824872851687391
250.1381021589028540.2762043178057080.861897841097146
260.1401099046586690.2802198093173380.859890095341331
270.1025752312611840.2051504625223670.897424768738816
280.07302749873303830.1460549974660770.926972501266962
290.06263127388258130.1252625477651630.937368726117419
300.05953963679497090.1190792735899420.940460363205029
310.04685501217964220.09371002435928440.953144987820358
320.032490855774640.064981711549280.96750914422536
330.03774782753973920.07549565507947830.962252172460261
340.03293170956504940.06586341913009870.967068290434951
350.0615337362520860.1230674725041720.938466263747914
360.07109428948106920.1421885789621380.928905710518931
370.06375508690388940.1275101738077790.936244913096111
380.04969685126351940.09939370252703890.950303148736481
390.03912506285891970.07825012571783930.96087493714108
400.03378354367306220.06756708734612440.966216456326938
410.03131121117189640.06262242234379270.968688788828104
420.02386685469114190.04773370938228390.976133145308858
430.01776566457282370.03553132914564740.982234335427176
440.01603131727243450.03206263454486910.983968682727565
450.01236029789845440.02472059579690880.987639702101546
460.008890140517183550.01778028103436710.991109859482816
470.007541302139214230.01508260427842850.992458697860786
480.006544156891744860.01308831378348970.993455843108255
490.004499487906674970.008998975813349930.995500512093325
500.007874980092917650.01574996018583530.992125019907082
510.04446438367382080.08892876734764160.955535616326179
520.03783113514869960.07566227029739920.9621688648513
530.03103018397797420.06206036795594840.968969816022026
540.06131936127647490.122638722552950.938680638723525
550.05439420634140240.1087884126828050.945605793658598
560.04596290838753210.09192581677506410.954037091612468
570.03587591996087730.07175183992175450.964124080039123
580.02908475397947720.05816950795895450.970915246020523
590.02248559595826210.04497119191652410.977514404041738
600.01690598014057280.03381196028114570.983094019859427
610.01321862808251050.02643725616502110.986781371917489
620.01639456242203510.03278912484407010.983605437577965
630.02811090607628790.05622181215257580.971889093923712
640.02270253117455110.04540506234910220.977297468825449
650.02362057262744210.04724114525488420.976379427372558
660.02501794895877180.05003589791754360.974982051041228
670.02111501601471140.04223003202942280.978884983985289
680.02285526162721870.04571052325443740.977144738372781
690.02581218700629610.05162437401259220.974187812993704
700.02170169336529060.04340338673058120.978298306634709
710.01667961442925460.03335922885850920.983320385570745
720.01335534344783550.0267106868956710.986644656552164
730.01339272247535720.02678544495071430.986607277524643
740.01967135014228670.03934270028457340.980328649857713
750.01891759165342990.03783518330685980.98108240834657
760.01611635874287420.03223271748574840.983883641257126
770.01761773283189230.03523546566378450.982382267168108
780.01460383149992920.02920766299985840.985396168500071
790.01169831361565670.02339662723131340.988301686384343
800.009930026418785270.01986005283757050.990069973581215
810.007686731148611340.01537346229722270.992313268851389
820.006569158744929770.01313831748985950.99343084125507
830.005084878665586720.01016975733117340.994915121334413
840.003801833657043080.007603667314086160.996198166342957
850.9907714858496780.01845702830064370.00922851415032184
860.9886739497744930.02265210045101490.0113260502255074
870.985944487300180.028111025399640.01405551269982
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1600.9999990939182991.81216340109509e-069.06081700547543e-07
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1670.9999999990198231.9603532970466e-099.801766485233e-10
1680.9999999997242525.51495580053311e-102.75747790026655e-10
1690.9999999997006475.98706046514077e-102.99353023257038e-10
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1710.9999999999497451.00510294895945e-105.02551474479725e-11
1720.9999999999091391.81722935464337e-109.08614677321687e-11
1730.999999999849713.00580357582195e-101.50290178791098e-10
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1750.99999999996147.72004518579769e-113.86002259289884e-11
1760.9999999999425281.14943394578045e-105.74716972890226e-11
1770.9999999999947331.05342937036266e-115.26714685181332e-12
1780.9999999999903011.93974063233963e-119.69870316169817e-12
1790.9999999999959038.19488192720628e-124.09744096360314e-12
1800.9999999999948231.03548109201927e-115.17740546009636e-12
1810.9999999999939161.21686681389113e-116.08433406945566e-12
1820.9999999999992271.5457543767766e-127.72877188388299e-13
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1840.9999999999969476.10636928978518e-123.05318464489259e-12
1850.9999999999989022.1968066140084e-121.0984033070042e-12
1860.9999999999977944.41196641539428e-122.20598320769714e-12
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1880.999999999993551.28989238878466e-116.44946194392332e-12
1890.9999999999914121.71767602701662e-118.58838013508308e-12
1900.9999999999839273.21454496394248e-111.60727248197124e-11
1910.9999999999930851.38302632867768e-116.9151316433884e-12
1920.9999999999861412.77172950741008e-111.38586475370504e-11
1930.9999999999734265.3148592341841e-112.65742961709205e-11
1940.9999999999474421.05114980584671e-105.25574902923353e-11
1950.9999999999009631.98073210110296e-109.90366050551479e-11
1960.9999999998438773.12245139737729e-101.56122569868865e-10
1970.9999999997319585.36084662594906e-102.68042331297453e-10
1980.9999999999506329.87359836000754e-114.93679918000377e-11
1990.9999999999642917.14170915150669e-113.57085457575335e-11
2000.999999999945741.08519611818302e-105.42598059091511e-11
2010.9999999999046621.9067616936477e-109.53380846823849e-11
2020.9999999999745835.08341567851705e-112.54170783925853e-11
2030.9999999999522179.55659244968754e-114.77829622484377e-11
2040.9999999999265581.46883906685983e-107.34419533429916e-11
2050.9999999998576092.84782527824285e-101.42391263912142e-10
2060.9999999997227695.54462453980802e-102.77231226990401e-10
2070.999999999473321.05335925718901e-095.26679628594507e-10
2080.9999999990392761.92144752630478e-099.60723763152392e-10
2090.9999999986979192.60416140722323e-091.30208070361162e-09
2100.999999998810282.379440756765e-091.1897203783825e-09
2110.9999999981404223.71915555400296e-091.85957777700148e-09
2120.9999999964740887.05182376135421e-093.52591188067711e-09
2130.9999999932606581.347868337291e-086.73934168645499e-09
2140.9999999876939642.4612072882469e-081.23060364412345e-08
2150.9999999926337811.47324385867157e-087.36621929335786e-09
2160.99999999181251.63749999815466e-088.18749999077331e-09
2170.9999999841482323.17035356893643e-081.58517678446821e-08
2180.9999999809509383.80981242340181e-081.9049062117009e-08
2190.9999999726445225.47109559345289e-082.73554779672645e-08
2200.9999999629254257.4149150087156e-083.7074575043578e-08
2210.9999999393753731.21249254118075e-076.06246270590374e-08
2220.9999998989313032.0213739408904e-071.0106869704452e-07
2230.9999998466567063.06686588872501e-071.5334329443625e-07
2240.9999997181708655.63658269370921e-072.8182913468546e-07
2250.9999995477595649.04480871384242e-074.52240435692121e-07
2260.999999554532518.90934979055133e-074.45467489527566e-07
2270.9999994361891031.12762179419815e-065.63810897099075e-07
2280.9999989575268922.08494621570345e-061.04247310785173e-06
2290.9999996005506327.98898736604993e-073.99449368302497e-07
2300.999999985074152.98517000802108e-081.49258500401054e-08
2310.9999999722836925.54326161565469e-082.77163080782735e-08
2320.9999999428603891.14279221622928e-075.7139610811464e-08
2330.9999999636969847.26060313295491e-083.63030156647746e-08
2340.999999932055941.35888120883976e-076.79440604419878e-08
2350.9999998579187742.84162452783745e-071.42081226391872e-07
2360.9999997143692215.712615588909e-072.8563077944545e-07
2370.9999994862254381.02754912318101e-065.13774561590503e-07
2380.9999990408681771.91826364633979e-069.59131823169893e-07
2390.9999984792403773.04151924546364e-061.52075962273182e-06
2400.9999970416495765.91670084724649e-062.95835042362325e-06
2410.9999949695590081.00608819849416e-055.0304409924708e-06
2420.9999911772360491.76455279018486e-058.8227639509243e-06
2430.9999832488872263.35022255487725e-051.67511127743862e-05
2440.9999747333039685.05333920640991e-052.52666960320495e-05
2450.999954491449749.10171005206522e-054.55085502603261e-05
2460.9999490290318440.0001019419363123945.09709681561968e-05
2470.9999460517248410.0001078965503179485.39482751589739e-05
2480.9999126106777650.0001747786444698868.73893222349431e-05
2490.999858656431390.0002826871372196470.000141343568609824
2500.9999463570739760.0001072858520488375.36429260244185e-05
2510.9998963898924990.0002072202150025060.000103610107501253
2520.9998498464138510.000300307172297080.00015015358614854
2530.9997170711833740.0005658576332523150.000282928816626158
2540.99947278559120.001054428817599080.000527214408799538
2550.9995875215335480.0008249569329047020.000412478466452351
2560.9992409887477960.001518022504408680.000759011252204339
2570.9986127235329970.002774552934006490.00138727646700324
2580.9981571524607360.003685695078527410.00184284753926371
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2650.9809705693456950.03805886130861090.0190294306543054
2660.9686810200175070.06263795996498590.031318979982493
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2740.6426676788685420.7146646422629160.357332321131458
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2760.3833445494907490.7666890989814980.616655450509251






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1440.545454545454545NOK
5% type I error level1880.712121212121212NOK
10% type I error level2280.863636363636364NOK

\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 & 144 & 0.545454545454545 & NOK \tabularnewline
5% type I error level & 188 & 0.712121212121212 & NOK \tabularnewline
10% type I error level & 228 & 0.863636363636364 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159960&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]144[/C][C]0.545454545454545[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]188[/C][C]0.712121212121212[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]228[/C][C]0.863636363636364[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159960&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159960&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1440.545454545454545NOK
5% type I error level1880.712121212121212NOK
10% type I error level2280.863636363636364NOK


Figures (Output of Computation)

Figure 1
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Figure 6
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Figure 7
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Figure 8
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Figure 9
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Figure 10
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Input Parameters & R Code

Parameters (Session):
par1 = kendall ;
Parameters (R input):
par1 = 6 ; 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')
}