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R Software Module

rwasp_multipleregression.wasp

Title produced by software

Multiple Regression

Date of computation

Thu, 15 Dec 2011 16:08:12 -0500

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/15/t1323983454q3576rlynvvvn87.htm/, Retrieved Wed, 08 May 2024 14:05:57 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=155721, Retrieved Wed, 08 May 2024 14:05:57 +0000

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Estimated Impact

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Multiple Regression] [Paper Meervoudige...] [2011-12-15 21:08:12] [2934cd91706ad80fc42b61dc996a3109] [Current]

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112.285	1.418	146.283	115	94	144	30	79
84.786	869	98.364	109	103	103	28	58
83.123	1.530	86.146	146	93	98	38	60
101.193	2.172	96.933	116	103	135	30	108
38.361	901	79.234	68	51	61	22	49
68.504	463	42.551	101	70	39	26	0
119.182	3.201	195.663	96	91	150	25	121
22.807	371	6.853	67	22	5	18	1
17.140	1.192	21.529	44	38	28	11	20
116.174	1.583	95.757	100	93	84	26	43
57.635	1.439	85.584	93	60	80	25	69
66.198	1.764	143.983	140	123	130	38	78
71.701	1.495	75.851	166	148	82	44	86
57.793	1.373	59.238	99	90	60	30	44
80.444	2.187	93.163	139	124	131	40	104
53.855	1.491	96.037	130	70	84	34	63
97.668	4.041	151.511	181	168	140	47	158
133.824	1.706	136.368	116	115	151	30	102
101.481	2.152	112.642	116	71	91	31	77
99.645	1.036	94.728	88	66	138	23	82
114.789	1.882	105.499	139	134	150	36	115
99.052	1.929	121.527	135	117	124	36	101
67.654	2.242	127.766	108	108	119	30	80
65.553	1.220	98.958	89	84	73	25	50
97.500	1.289	77.900	156	156	110	39	83
69.112	2.515	85.646	129	120	123	34	123
82.753	2.147	98.579	118	114	90	31	73
85.323	2.352	130.767	118	94	116	31	81
72.654	1.638	131.741	125	120	113	33	105
30.727	1.222	53.907	95	81	56	25	47
77.873	1.812	178.812	126	110	115	33	105
117.478	1.677	146.761	135	133	119	35	94
74.007	1.579	82.036	154	122	129	42	44
90.183	1.731	163.253	165	158	127	43	114
61.542	807	27.032	113	109	27	30	38
101.494	2.452	171.975	127	124	175	33	107
27.570	829	65.990	52	39	35	13	30
55.813	1.940	86.572	121	92	64	32	71
79.215	2.662	159.676	136	126	96	36	84
1.423	186	1.929	0	0	0	0	0
55.461	1.499	85.371	108	70	84	28	59
31.081	865	58.391	46	37	41	14	33
22.996	1.793	31.580	54	38	47	17	42
83.122	2.527	136.815	124	120	126	32	96
70.106	2.747	120.642	115	93	105	30	106
60.578	1.324	69.107	128	95	80	35	56
39.992	2.702	50.495	80	77	70	20	57
79.892	1.383	108.016	97	90	73	28	59
49.810	1.179	46.341	104	80	57	28	39
71.570	2.099	78.348	59	31	40	39	34
100.708	4.308	79.336	125	110	68	34	76
33.032	918	56.968	82	66	21	26	20
82.875	1.831	93.176	149	138	127	39	91
139.077	3.373	161.632	149	133	154	39	115
71.595	1.713	87.850	122	113	116	33	85
72.260	1.438	127.969	118	100	102	28	76
5.950	496	15.049	12	7	7	4	8
115.762	2.253	155.135	144	140	148	39	79
32.551	744	25.109	67	61	21	18	21
31.701	1.161	45.824	52	41	35	14	30
80.670	2.352	102.996	108	96	112	29	76
143.558	2.144	160.604	166	164	137	44	101
117.105	4.691	158.051	80	78	135	21	94
23.789	1.112	44.547	60	49	26	16	27
120.733	2.694	162.647	107	102	230	28	92
105.195	1.973	174.141	127	124	181	35	123
73.107	1.769	60.622	107	99	71	28	75
132.068	3.148	179.566	146	129	147	38	128
149.193	2.474	184.301	84	62	190	23	105
46.821	2.084	75.661	141	73	64	36	55
87.011	1.954	96.144	123	114	105	32	56
95.260	1.226	129.847	111	99	107	29	41
55.183	1.389	117.286	98	70	94	25	72
106.671	1.496	71.180	105	104	116	27	67
73.511	2.269	109.377	135	116	106	36	75
92.945	1.833	85.298	107	91	143	28	114
78.664	1.268	73.631	85	74	81	23	118
70.054	1.943	86.767	155	138	89	40	77
22.618	893	23.824	88	67	26	23	22
74.011	1.762	93.487	155	151	84	40	66
83.737	1.403	82.981	104	72	113	28	69
69.094	1.425	73.815	132	120	120	34	105
93.133	1.857	94.552	127	115	110	33	116
95.536	1.840	132.190	108	105	134	28	88
225.920	1.502	128.754	129	104	54	34	73
62.133	1.441	66.363	116	108	96	30	99
61.370	1.420	67.808	122	98	78	33	62
43.836	1.416	61.724	85	69	51	22	53
106.117	2.970	131.722	147	111	121	38	118
38.692	1.317	68.580	99	99	38	26	30
84.651	1.644	106.175	87	71	145	35	100
56.622	870	55.792	28	27	59	8	49
15.986	1.654	25.157	90	69	27	24	24
95.364	1.054	76.669	109	107	91	29	67
26.706	937	57.283	78	73	48	20	46
89.691	3.004	105.805	111	107	68	29	57
67.267	2.008	129.484	158	93	58	45	75
126.846	2.547	72.413	141	129	150	37	135
41.140	1.885	87.831	122	69	74	33	68
102.860	1.626	96.971	124	118	181	33	124
51.715	1.468	71.299	93	73	65	25	33
55.801	2.445	77.494	124	119	97	32	98
111.813	1.964	120.336	112	104	121	29	58
120.293	1.381	93.913	108	107	99	28	68
138.599	1.369	136.048	99	99	152	28	81
161.647	1.659	181.248	117	90	188	31	131
115.929	2.888	146.123	199	197	138	52	110
24.266	1.290	32.036	78	36	40	21	37
162.901	2.845	186.646	91	85	254	24	130
109.825	1.982	102.255	158	139	87	41	93
129.838	1.904	168.237	126	106	178	33	118
37.510	1.391	64.219	122	50	51	32	39
43.750	602	19.630	71	64	49	19	13
40.652	1.743	76.825	75	31	73	20	74
87.771	1.559	115.338	115	63	176	31	81
85.872	2.014	109.427	119	92	94	31	109
89.275	2.143	118.168	124	106	120	32	151
44.418	2.146	84.845	72	63	66	18	51
192.565	874	153.197	91	69	56	23	28
35.232	1.590	29.877	45	41	39	17	40
40.909	1.590	63.506	78	56	66	20	56
13.294	1.210	22.445	39	25	27	12	27
32.387	2.072	47.695	68	65	65	17	37
140.867	1.281	68.370	119	93	58	30	83
120.662	1.401	146.304	117	114	98	31	54
21.233	834	38.233	39	38	25	10	27
44.332	1.105	42.071	50	44	26	13	28
61.056	1.272	50.517	88	87	77	22	59
101.338	1.944	103.950	155	110	130	42	133
1.168	391	5.841	0	0	11	1	12
13.497	761	2.341	36	27	2	9	0
65.567	1.605	84.396	123	83	101	32	106
25.162	530	24.610	32	30	31	11	23
32.334	1.988	35.753	99	80	36	25	44
40.735	1.386	55.515	136	98	120	36	71
91.413	2.395	209.056	117	82	195	31	116
855	387	6.622	0	0	4	0	4
97.068	1.742	115.814	88	60	89	24	62
44.339	620	11.609	39	28	24	13	12
14.116	449	13.155	25	9	39	8	18
10.288	800	18.274	52	33	14	13	14
65.622	1.684	72.875	75	59	78	19	60
16.563	1.050	10.112	71	49	15	18	7
76.643	2.699	142.775	124	115	106	33	98
110.681	1.606	68.847	151	140	83	40	64
29.011	1.502	17.659	71	49	24	22	29
92.696	1.204	20.112	145	120	37	38	32
94.785	1.138	61.023	87	66	77	24	25
8.773	568	13.983	27	21	16	8	16
83.209	1.459	65.176	131	124	56	35	48
93.815	2.158	132.432	162	152	132	43	100
86.687	1.111	112.494	165	139	144	43	46
34.553	1.421	45.109	54	38	40	14	45
105.547	2.833	170.875	159	144	153	41	129
103.487	1.955	180.759	147	120	143	38	130
213.688	2.922	214.921	170	160	220	45	136
71.220	1.002	100.226	119	114	79	31	59
23.517	1.060	32.043	49	39	50	13	25
56.926	956	54.454	104	78	39	28	32
91.721	2.186	78.876	120	119	95	31	63
115.168	3.604	170.745	150	141	169	40	95
111.194	1.035	6.940	112	101	12	30	14
51.009	1.417	49.025	59	56	63	16	36
135.777	3.261	122.037	136	133	134	37	113
51.513	1.587	53.782	107	83	69	30	47
74.163	1.424	127.748	130	116	119	35	92
51.633	1.701	86.839	115	90	119	32	70
75.345	1.249	44.830	107	36	75	27	19
33.416	946	77.395	75	50	63	20	50
83.305	1.926	89.324	71	61	55	18	41
98.952	3.352	103.300	120	97	103	31	91
102.372	1.641	112.283	116	98	197	31	111
37.238	2.035	10.901	79	78	16	21	41
103.772	2.312	120.691	150	117	140	39	120
123.969	1.369	58.106	156	148	89	41	135
27.142	1.577	57.140	51	41	40	13	27
135.400	2.201	122.422	118	105	125	32	87
21.399	961	25.899	71	55	21	18	25
130.115	1.900	139.296	144	132	167	39	131
24.874	1.254	52.678	47	44	32	14	45
34.988	1.335	23.853	28	21	36	7	29
45.549	1.597	17.306	68	50	13	17	58
6.023	207	7.953	0	0	5	0	4
64.466	1.645	89.455	110	73	96	30	47
54.990	2.429	147.866	147	86	151	37	109
1.644	151	4.245	0	0	6	0	7
6.179	474	21.509	15	13	13	5	12
3.926	141	7.670	4	4	3	1	0
32.755	1.639	66.675	64	57	57	16	37
34.777	872	14.336	111	48	23	32	37
73.224	1.318	53.608	85	46	61	24	46
27.114	1.018	30.059	68	48	21	17	15
20.760	1.383	29.668	40	32	43	11	42
37.636	1.314	22.097	80	68	20	24	7
65.461	1.335	96.841	88	87	82	22	54
30.080	1.403	41.907	48	43	90	12	54
24.094	910	27.080	76	67	25	19	14
69.008	616	35.885	51	46	60	13	16
54.968	1.407	41.247	67	46	61	17	33
46.090	771	28.313	59	56	85	15	32
27.507	766	36.845	61	48	43	16	21
10.672	473	16.548	76	44	25	24	15
34.029	1.376	36.134	60	60	41	15	38
46.300	1.232	55.764	68	65	26	17	22
24.760	1.521	28.910	71	55	38	18	28
18.779	572	13.339	76	38	12	20	10
21.280	1.059	25.319	62	52	29	16	31
40.662	1.544	66.956	61	60	49	16	32
28.987	1.230	47.487	67	54	46	18	32
22.827	1.206	52.785	88	86	41	22	43
18.513	1.205	44.683	30	24	31	8	27
30.594	1.255	35.619	64	52	41	17	37
24.006	613	21.920	68	49	26	18	20
27.913	721	45.608	64	61	23	16	32
42.744	1.109	7.721	91	61	14	23	0
12.934	740	20.634	88	81	16	22	5
22.574	1.126	29.788	52	43	25	13	26
41.385	728	31.931	49	40	21	13	10
18.653	689	37.754	62	40	32	16	27
18.472	592	32.505	61	56	9	16	11
30.976	995	40.557	76	68	35	20	29
63.339	1.613	94.238	88	79	42	22	25
25.568	2.048	44.197	66	47	68	17	55
33.747	705	43.228	71	57	32	18	23
4.154	301	4.103	68	41	6	17	5
19.474	1.803	44.144	48	29	68	12	43
35.130	799	32.868	25	3	33	7	23
39.067	861	27.640	68	60	84	17	34
13.310	1.186	14.063	41	30	46	14	36
65.892	1.451	28.990	90	79	30	23	35
4.143	628	4.694	66	47	0	17	0
28.579	1.161	42.648	54	40	36	14	37
51.776	1.463	64.329	59	48	47	15	28
21.152	742	21.928	60	36	20	17	16
38.084	979	25.836	77	42	50	21	26
27.717	675	22.779	68	49	30	18	38
32.928	1.241	40.820	72	57	30	18	23
11.342	676	27.530	67	12	34	17	22
19.499	1.049	32.378	64	40	33	17	30
16.380	620	10.824	63	43	34	16	16
36.874	1.081	39.613	59	33	37	15	18
48.259	1.688	60.865	84	77	83	21	28
16.734	736	19.787	64	43	32	16	32
28.207	617	20.107	56	45	30	14	21
30.143	812	36.605	54	47	43	15	23
41.369	1.051	40.961	67	43	41	17	29
45.833	1.656	48.231	58	45	51	15	50
29.156	705	39.725	59	50	19	15	12
35.944	945	21.455	40	35	37	10	21
36.278	554	23.430	22	7	33	6	18
45.588	1.597	62.991	83	71	41	22	27
45.097	982	49.363	81	67	54	21	41
3.895	222	9.604	2	0	14	1	13
28.394	1.212	24.552	72	62	25	18	12
18.632	1.143	31.493	61	54	25	17	21
2.325	435	3.439	15	4	8	4	8
25.139	532	19.555	32	25	26	10	26
27.975	882	21.228	62	40	20	16	27
14.483	608	23.177	58	38	11	16	13
13.127	459	22.094	36	19	14	9	16
5.839	578	2.342	59	17	3	16	2
24.069	826	38.798	68	67	40	17	42
3.738	509	3.255	21	14	5	7	5
18.625	717	24.261	55	30	38	15	37
36.341	637	18.511	54	54	32	14	17
24.548	857	40.798	55	35	41	14	38
21.792	830	28.893	72	59	46	18	37
26.263	652	21.425	41	24	47	12	29
23.686	707	50.276	61	58	37	16	32
49.303	954	37.643	67	42	51	21	35
25.659	1.461	30.377	76	46	49	19	17
28.904	672	27.126	64	61	21	16	20
2.781	778	13	3	3	1	1	7
29.236	1.141	42.097	63	52	44	16	46
19.546	680	24.451	40	25	26	10	24
22.818	1.090	14.335	69	40	21	19	40
32.689	616	5.084	48	32	4	12	3
5.752	285	9.927	8	4	10	2	10
22.197	1.145	43.527	52	49	43	14	37
20.055	733	27.184	66	63	34	17	17
25.272	888	21.610	76	67	32	19	28
82.206	849	20.484	43	32	20	14	19
32.073	1.182	20.156	39	23	34	11	29
5.444	528	6.012	14	7	6	4	8
20.154	642	18.475	61	54	12	16	10
36.944	947	12.645	71	37	24	20	15
8.019	819	11.017	44	35	16	12	15
30.884	757	37.623	60	51	72	15	28
19.540	894	35.873	64	39	27	16	17

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	20 seconds
R Server	'AstonUniversity' @ aston.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 & 20 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155721&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]20 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155721&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155721&T=0

As an alternative you can also use a QR Code:

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	20 seconds
R Server	'AstonUniversity' @ aston.wessa.net

Multiple Linear Regression - Estimated Regression Equation
y[t] = + 21.358591174725 -0.00470149078558336x1[t] + 0.374477862594232x2[t] -0.402221104403344x3[t] + 0.395488891240065x4[t] + 0.157089960947504x5[t] + 0.435028381215833x6[t] + 0.0149572843652255x7[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
y[t] =  +  21.358591174725 -0.00470149078558336x1[t] +  0.374477862594232x2[t] -0.402221104403344x3[t] +  0.395488891240065x4[t] +  0.157089960947504x5[t] +  0.435028381215833x6[t] +  0.0149572843652255x7[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155721&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]y[t] =  +  21.358591174725 -0.00470149078558336x1[t] +  0.374477862594232x2[t] -0.402221104403344x3[t] +  0.395488891240065x4[t] +  0.157089960947504x5[t] +  0.435028381215833x6[t] +  0.0149572843652255x7[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155721&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155721&T=1

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Estimated Regression Equation
y[t] = + 21.358591174725 -0.00470149078558336x1[t] + 0.374477862594232x2[t] -0.402221104403344x3[t] + 0.395488891240065x4[t] + 0.157089960947504x5[t] + 0.435028381215833x6[t] + 0.0149572843652255x7[t] + e[t]

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	21.358591174725	9.944442	2.1478	0.032585	0.016293
x1	-0.00470149078558336	0.011082	-0.4242	0.671715	0.335857
x2	0.374477862594232	0.149855	2.4989	0.013028	0.006514
x3	-0.402221104403344	0.522142	-0.7703	0.441752	0.220876
x4	0.395488891240065	0.251243	1.5741	0.116583	0.058292
x5	0.157089960947504	0.166204	0.9452	0.345389	0.172694
x6	0.435028381215833	1.721527	0.2527	0.800686	0.400343
x7	0.0149572843652255	0.208353	0.0718	0.942822	0.471411

\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) & 21.358591174725 & 9.944442 & 2.1478 & 0.032585 & 0.016293 \tabularnewline
x1 & -0.00470149078558336 & 0.011082 & -0.4242 & 0.671715 & 0.335857 \tabularnewline
x2 & 0.374477862594232 & 0.149855 & 2.4989 & 0.013028 & 0.006514 \tabularnewline
x3 & -0.402221104403344 & 0.522142 & -0.7703 & 0.441752 & 0.220876 \tabularnewline
x4 & 0.395488891240065 & 0.251243 & 1.5741 & 0.116583 & 0.058292 \tabularnewline
x5 & 0.157089960947504 & 0.166204 & 0.9452 & 0.345389 & 0.172694 \tabularnewline
x6 & 0.435028381215833 & 1.721527 & 0.2527 & 0.800686 & 0.400343 \tabularnewline
x7 & 0.0149572843652255 & 0.208353 & 0.0718 & 0.942822 & 0.471411 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155721&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]21.358591174725[/C][C]9.944442[/C][C]2.1478[/C][C]0.032585[/C][C]0.016293[/C][/ROW]
[ROW][C]x1[/C][C]-0.00470149078558336[/C][C]0.011082[/C][C]-0.4242[/C][C]0.671715[/C][C]0.335857[/C][/ROW]
[ROW][C]x2[/C][C]0.374477862594232[/C][C]0.149855[/C][C]2.4989[/C][C]0.013028[/C][C]0.006514[/C][/ROW]
[ROW][C]x3[/C][C]-0.402221104403344[/C][C]0.522142[/C][C]-0.7703[/C][C]0.441752[/C][C]0.220876[/C][/ROW]
[ROW][C]x4[/C][C]0.395488891240065[/C][C]0.251243[/C][C]1.5741[/C][C]0.116583[/C][C]0.058292[/C][/ROW]
[ROW][C]x5[/C][C]0.157089960947504[/C][C]0.166204[/C][C]0.9452[/C][C]0.345389[/C][C]0.172694[/C][/ROW]
[ROW][C]x6[/C][C]0.435028381215833[/C][C]1.721527[/C][C]0.2527[/C][C]0.800686[/C][C]0.400343[/C][/ROW]
[ROW][C]x7[/C][C]0.0149572843652255[/C][C]0.208353[/C][C]0.0718[/C][C]0.942822[/C][C]0.471411[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155721&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155721&T=2

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	21.358591174725	9.944442	2.1478	0.032585	0.016293
x1	-0.00470149078558336	0.011082	-0.4242	0.671715	0.335857
x2	0.374477862594232	0.149855	2.4989	0.013028	0.006514
x3	-0.402221104403344	0.522142	-0.7703	0.441752	0.220876
x4	0.395488891240065	0.251243	1.5741	0.116583	0.058292
x5	0.157089960947504	0.166204	0.9452	0.345389	0.172694
x6	0.435028381215833	1.721527	0.2527	0.800686	0.400343
x7	0.0149572843652255	0.208353	0.0718	0.942822	0.471411

Multiple Linear Regression - Regression Statistics
Multiple R	0.492635013532492
R-squared	0.242689256558159
Adjusted R-squared	0.223823864372775
F-TEST (value)	12.8642571632401
F-TEST (DF numerator)	7
F-TEST (DF denominator)	281
p-value	2.43138842392909e-14
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	54.4628993147827
Sum Squared Residuals	833504.279897978

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.492635013532492 \tabularnewline
R-squared & 0.242689256558159 \tabularnewline
Adjusted R-squared & 0.223823864372775 \tabularnewline
F-TEST (value) & 12.8642571632401 \tabularnewline
F-TEST (DF numerator) & 7 \tabularnewline
F-TEST (DF denominator) & 281 \tabularnewline
p-value & 2.43138842392909e-14 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 54.4628993147827 \tabularnewline
Sum Squared Residuals & 833504.279897978 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155721&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.492635013532492[/C][/ROW]
[ROW][C]R-squared[/C][C]0.242689256558159[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.223823864372775[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]12.8642571632401[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]7[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]281[/C][/ROW]
[ROW][C]p-value[/C][C]2.43138842392909e-14[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]54.4628993147827[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]833504.279897978[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155721&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155721&T=3

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Regression Statistics
Multiple R	0.492635013532492
R-squared	0.242689256558159
Adjusted R-squared	0.223823864372775
F-TEST (value)	12.8642571632401
F-TEST (DF numerator)	7
F-TEST (DF denominator)	281
p-value	2.43138842392909e-14
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	54.4628993147827
Sum Squared Residuals	833504.279897978

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	112.285	103.905629682613	8.37937031738685
2	84.786	80.2299747208537	4.55602527914634
3	83.123	64.4906852082742	18.6323147917258
4	101.193	87.5987327543567	13.5942672456433
5	38.361	59.4988442339638	-21.1378442339638
6	68.504	39.6133457028782	28.8906542971218
7	119.182	128.240301892334	-9.05830189233418
8	22.807	12.563494448877	10.243505551123
9	17.14	36.2289469620839	-19.0889469620839
10	116.174	78.9178397071456	37.2561602928544
11	57.635	64.198868914039	-6.56386891403894
12	66.198	105.722364430809	-39.5243644308092
13	71.701	74.8286874008116	-3.12768740081162
14	57.793	62.4439361333035	-4.65093613330349
15	80.444	88.9031568356865	-8.45915683568645
16	53.855	61.6396211522337	-7.7846211522337
17	97.668	116.519401100801	-18.8514011008012
18	133.824	109.538020524316	24.2859794756843
19	101.481	73.8852492921867	27.5957507078133
20	99.645	80.4446337291158	19.2003662708842
21	114.789	98.888164476896	15.9008355231041
22	99.052	95.4819069892733	3.57009301072669
23	67.654	101.40764954141	-33.7536495414103
24	65.553	78.9249651526594	-13.3719651526594
25	97.5	84.9615883696783	12.5384116303218
26	69.112	84.9442185607254	-15.8322185607254
27	82.753	84.6036516340857	-1.85065163408565
28	85.323	92.9506007044133	-7.62760070441336
29	72.654	101.543624152774	-28.8896241527739
30	30.727	55.7391590726015	-25.0121590726015
31	77.873	115.126923468641	-37.2539234686413
32	117.478	109.935309232985	7.54269076701475
33	74.007	77.5733455950909	-3.56634559509092
34	90.183	118.967625835899	-28.7846258358994
35	61.542	43.2053352279319	18.3366647720681
36	101.494	127.15354496652	-25.65954496652
37	27.57	48.2836549153836	-20.7136549153836
38	55.813	66.5216250538681	-10.7086250538681
39	79.215	108.268802952653	-29.0538029526531
40	1.423	21.2064816855507	-19.7834816855507
41	55.461	63.824267529995	-8.36326752999498
42	31.081	48.3135328131855	-17.2325328131855
43	22.996	41.8917271203555	-18.8957271203555
44	83.122	105.314291858487	-22.1922918584867
45	70.106	88.1792438362487	-18.0732438362487
46	60.578	61.9493494982098	-1.37134949820977
47	39.992	59.0795337909954	-19.0875337909954
48	79.892	82.911084504188	-3.01908450418804
49	49.81	50.2330997271204	-0.423099727120405
50	71.57	62.975677766479	8.594322233521
51	100.708	70.8838887627116	29.8241112372884
52	33.032	46.4047865494115	-13.3727865494115
53	82.875	89.1664992901935	-6.29149929019355
54	139.077	117.417465467301	21.6595345326994
55	71.595	83.7174289439091	-12.1224289439091
56	72.26	90.7009111361544	-18.4409111361544
57	5.95	25.5633396115142	-19.6133396115142
58	115.762	118.28827422157	-2.52627422156978
59	32.551	35.8829580662018	-3.33195806620179
60	31.701	45.8500179324509	-14.1490179324509
61	80.67	85.7909617807747	-5.12096178077469
62	143.558	121.755887799173	21.8021122008271
63	117.105	110.942307770565	6.16269222943493
64	23.789	44.7295576304687	-20.9405576304687
65	120.733	129.243390864812	-8.51039086481152
66	105.195	130.018829108946	-24.8238291089457
67	73.107	64.6235915140295	8.48340848597048
68	132.068	122.418903627642	9.64909637235834
69	149.193	122.520602933843	26.6723970661573
70	46.821	48.377106033821	-1.55610603382097
71	87.011	84.2187038655932	2.79229613440684
72	95.26	94.5222093509067	0.73779064909327
73	55.183	80.2587158852852	-25.0757158852852
74	106.671	77.874860545791	28.7961394542091
75	73.511	87.3184048700953	-13.8074048700953
76	92.945	82.593806504538	10.3511934954619
77	78.664	68.498092422374	10.165907577626
78	70.054	78.6088253595366	-8.5548253595366
79	22.618	31.6030710358684	-8.98507103586837
80	74.011	85.3175432193679	-11.3065432193679
81	83.737	70.0347606927336	13.7022393072664
82	69.094	78.5717312787027	-9.4777312787027
83	93.133	84.527510874443	8.60548912555708
84	95.536	103.485713857805	-7.94971385780546
85	225.92	83.1770790881232	142.742920911877
86	62.133	71.8707017045759	-9.73770170457585
87	61.37	63.9677517335894	-2.59775173358939
88	43.836	55.9410935422472	-12.1050935422472
89	106.117	92.7482886600312	13.3687113399688
90	38.692	64.0964769834818	-25.4044769834818
91	84.651	93.6972902962346	-9.04629029623458
92	56.622	51.0586139208384	5.56338607916158
93	15.986	36.9014735170403	-20.9154735170403
94	95.364	76.4528375873488	18.9111624126512
95	26.706	52.8308734592799	-26.1248734592799
96	89.691	82.7873725306109	6.90362746938908
97	67.267	72.8768657480365	-5.60986574803648
98	126.846	84.447350827244	42.398649172756
99	41.14	59.4559417995379	-18.3159417995379
100	102.86	99.1006343575546	3.75936564244536
101	51.715	61.0958602384077	-9.38086023840772
102	55.801	78.1790929037914	-22.3780929037914
103	111.813	94.9858373388441	16.8271626611559
104	120.293	84.1476661575696	36.1453338424304
105	138.599	108.902638752542	29.6963612474578
106	161.647	122.736482765072	38.9105172349282
107	115.929	119.879345497374	-3.95034549737431
108	24.266	32.1862669638079	-7.92026696380793
109	162.901	140.54042402723	22.3605759727704
110	109.825	83.9575457244499	25.8674542755501
111	129.838	119.675544206035	10.1624557939645
112	37.51	38.6199453812497	-1.10994538124971
113	43.75	38.7902768175318	4.95972318246821
114	40.652	53.48820488479	-12.83620488479
115	87.771	85.5484153862582	2.22258461374185
116	85.872	80.7304581550357	5.14154184496428
117	89.275	92.6764749241952	-3.40147492419516
118	44.418	68.0382264454368	-23.6202264454369
119	192.565	84.5264808820846	108.038519117915
120	35.232	44.7747680800268	-9.5427680800268
121	40.909	55.8129516835726	-14.9039516835726
122	13.294	33.8242734041069	-20.5302734041069
123	32.387	55.7250636371963	-23.3380636371963
124	140.867	59.2752992656684	81.5917007343316
125	120.662	103.853867327566	16.8081326724345
126	21.233	39.7782942892128	-18.5452942892128
127	44.332	44.5570220816718	-0.225022081671769
128	61.056	61.8312165707644	-0.775216570764404
129	101.338	82.1181379020126	19.2198620979874
130	1.168	24.0501388369959	-22.8821388369959
131	13.497	19.085085021028	-5.58808502102802
132	65.567	67.6803275021495	-2.11332750214954
133	25.162	37.0754111762518	-11.9134111762518
134	32.334	43.7462422322249	-11.4122422322249
135	40.735	61.7708388204881	-21.0358388204881
136	91.413	130.857862202108	-39.4448622021077
137	855	22.7070956280543	832.292904371946
138	97.068	78.4030959473264	18.6649040526736
139	44.339	27.7830617084398	16.5559382915602
140	14.116	27.5537171507555	-13.4377171507555
141	10.288	24.6402733794376	-14.3522733794376
142	65.622	63.2240031126295	2.39799688737055
143	16.563	26.2531932807329	-9.69019328073292
144	76.643	102.891070537929	-26.2480705379291
145	110.681	73.1626442019032	37.5183557980967
146	29.011	32.5602360653223	-3.54923606532233
147	92.696	40.8430763035838	51.8529236964161
148	94.785	58.2245744773206	36.5604255226794
149	8.773	27.6027482330502	-18.8297482330502
150	83.209	66.8493395141858	16.3596604858142
151	93.815	106.833613885711	-13.0186138857112
152	86.687	94.1015639984769	-7.41456399847686
153	34.553	44.5999440607808	-10.0469440607808
154	105.547	122.131838698488	-16.5848386984879
155	103.487	118.3111981956	-14.8241981956003
156	213.688	152.89890421194	60.7890957880595
157	71.22	82.8861872247888	-11.6661872247888
158	23.517	42.9520335005096	-19.4350335005096
159	56.926	45.0588584228741	11.8671415771259
160	91.721	79.0340101577298	12.6869898422702
161	115.168	126.082918318391	-10.9149183183914
162	111.194	33.9935487691961	77.2004512308039
163	51.009	55.5226230019046	-4.51362300190459
164	135.777	103.777644871981	31.9993551280187
165	51.513	55.8722692236773	-4.35926922367726
166	74.163	98.074430910855	-23.911430910855
167	51.633	76.870073711166	-25.237073711166
168	75.345	33.1522052731474	42.1927947268526
169	33.416	54.8466561810669	-21.4306561810669
170	83.305	67.4502280278177	15.8547719721823
171	98.952	81.1495435780002	17.8024564219998
172	102.372	101.591497793642	0.780502206358355
173	37.238	36.7661571296438	0.471842870356228
174	103.772	93.2364391808703	10.5355608191297
175	123.969	72.7338326778305	51.2351673221695
176	27.142	50.7934242802298	-23.6514242802298
177	135.4	96.1152524057485	39.2847475942515
178	21.399	31.2365834495868	-9.83758344958677
179	130.115	112.957155897261	17.1578441027392
180	24.874	51.3669135424015	-26.4929135424015
181	34.988	36.4620094429467	-1.47400944294669
182	45.549	30.5603807127419	14.9886192872581
183	6.023	24.2088839655196	-18.1858839655196
184	64.466	68.3106220495077	-3.84462204950766
185	54.99	93.0522353871881	-38.0622353871881
186	1.644	23.285565349056	-21.641565349056
187	6.179	30.6895667197479	-24.5105667197479
188	3.926	24.4472955914607	-20.5212955914607
189	32.755	59.5879144336419	-26.8329144336419
190	34.777	15.0517268608118	19.7252731391882
191	73.224	46.1423028383581	27.0816971616419
192	27.114	35.1613977349662	-8.04739773496616
193	20.76	41.1972850414188	-20.4372850414188
194	37.636	38.0299883563211	-0.393988356321054
195	65.461	79.8888962665715	-14.4278962665715
196	30.08	54.9107784984391	-24.8307784984391
197	24.094	35.5522371052277	-11.4582371052277
198	69.008	44.8999067849718	24.1080932150282
199	54.968	45.5133000601523	9.45469993984773
200	46.09	47.1093717507796	-1.01937175077961
201	27.507	40.0322908830375	-12.5252908830375
202	10.672	26.7566424216081	-16.0846424216081
203	34.029	48.014063143551	-13.985063143551
204	46.3	52.399807020298	-6.09980702029799
205	24.76	39.590519160522	-14.830519160522
206	18.779	18.8594925863231	-0.0804925863230792
207	21.28	38.4424699527354	-17.1624699527354
208	40.662	60.7552132321796	-20.0932132321796
209	28.987	49.0785068991679	-20.0915068991679
210	22.827	56.3907986263262	-33.5637986263262
211	18.513	44.2646829872481	-25.751682987248
212	30.594	43.9040798552326	-13.3100798552326
213	24.006	30.9270481763884	-6.92104817638837
214	27.913	44.4828306602802	-16.5698306602802
215	42.744	23.9723348847028	18.7716651152972
216	12.934	34.4044573968482	-21.4704573968482
217	22.574	38.5702761343956	-15.9962761343956
218	41.385	35.1079110265111	6.27708897348886
219	18.653	35.5303279520705	-16.8773279520705
220	18.472	36.8983959701232	-18.4263959701232
221	30.976	42.8252246900449	-11.8492246900449
222	63.339	69.0315525613881	-5.69255256138811
223	25.568	48.8413960775226	-23.2733960775226
224	33.747	41.4185447557638	-7.67154475576379
225	4.154	18.7567432280841	-14.6027432280841
226	19.474	46.5892511345247	-27.1152511345247
227	35.13	29.6145624086063	5.51543759139367
228	39.067	45.139060974096	-6.07206097409597
229	13.31	35.8478966227358	-22.5378966227358
230	65.892	42.4934621090383	23.3985378909617
231	4.143	19.6007215267275	-15.4577215267275
232	28.579	43.7225360923089	-15.1435360923089
233	51.776	55.0213787812524	-3.24537878125236
234	21.152	26.962567652693	-5.81056765269301
235	38.084	29.4493335930523	8.63466640694774
236	27.717	31.8548231940147	-4.13782319401473
237	32.928	43.1091174901099	-10.1811174901099
238	11.342	19.3524130696658	-8.01041306966584
239	19.499	36.5840782366491	-17.0850782366491
240	16.38	26.7039373398075	-10.3239373398075
241	36.874	38.1147740771251	-1.24077407712515
242	48.259	63.4021887470826	-15.1431887470826
243	16.734	29.0379250146572	-12.3039250146572
244	28.207	32.3772151395345	-4.17021513953446
245	30.143	41.741092646976	-11.598092646976
246	41.369	41.0197780920388	0.349221907961196
247	45.833	49.1653012919969	-3.33230129199693
248	29.156	38.6531950532733	-9.49719505327333
249	35.944	33.1800872804622	2.76391271953782
250	36.278	29.5109096590382	6.76709034096178
251	45.588	56.0503370126379	-10.4623370126379
252	45.097	47.3766267666067	-2.27962676660667
253	3.895	25.9356359351026	-22.0406359351026
254	28.394	38.044712488105	-9.65071248810503
255	18.632	41.6043959318233	-22.9723959318233
256	2.325	19.266402538733	-16.941402538733
257	25.139	32.0199718102088	-6.88097181020876
258	27.975	26.5492395418506	1.4257604581494
259	14.483	27.7620003767892	-13.2790003767892
260	13.127	26.8624814093912	-13.7354814093912
261	5.839	9.97206119716361	-4.13306119716361
262	24.069	45.4581593743299	-21.3891593743299
263	3.738	21.1800939875724	-17.4420939875724
264	18.625	29.8635994566344	-11.2385994566344
265	36.341	36.3037116695238	0.0372883304762189
266	24.548	37.4267744025658	-12.8787744025658
267	21.792	38.2601363597325	-16.4681363597325
268	26.263	32.3544054835447	-6.09140548354474
269	23.686	48.5161702866232	-24.8301702866232
270	49.303	38.3022475506099	11.0007524493901
271	25.659	36.5681425548385	-10.9091425548385
272	28.904	37.2984365180295	-8.3944365180295
273	2.781	23.2456662504962	-20.4646662504962
274	29.236	46.9035615843846	-17.6675615843846
275	19.546	29.9099113852466	-10.3639113852466
276	22.818	26.9506259534363	-4.13262595343633
277	32.689	19.608922084032	13.080077915968
278	5.752	24.6908239880991	-18.9388239880991
279	22.197	49.5152493139816	-27.3182493139816
280	20.055	39.4522268902505	-19.3972268902505
281	25.272	34.9163077018658	-9.64430770186582
282	82.206	29.9143520243943	52.2916479756057
283	32.073	32.8707633500377	-0.79776335003768
284	5.444	21.0672032923573	-15.6232032923573
285	20.154	31.0747318346441	-10.9207318346441
286	36.944	20.4120284890617	16.5319715109383
287	8.019	25.7362146484164	-17.7172146484165
288	30.884	46.179917332148	-15.295917332148
289	19.54	31.7271757330496	-12.1871757330496

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 112.285 & 103.905629682613 & 8.37937031738685 \tabularnewline
2 & 84.786 & 80.2299747208537 & 4.55602527914634 \tabularnewline
3 & 83.123 & 64.4906852082742 & 18.6323147917258 \tabularnewline
4 & 101.193 & 87.5987327543567 & 13.5942672456433 \tabularnewline
5 & 38.361 & 59.4988442339638 & -21.1378442339638 \tabularnewline
6 & 68.504 & 39.6133457028782 & 28.8906542971218 \tabularnewline
7 & 119.182 & 128.240301892334 & -9.05830189233418 \tabularnewline
8 & 22.807 & 12.563494448877 & 10.243505551123 \tabularnewline
9 & 17.14 & 36.2289469620839 & -19.0889469620839 \tabularnewline
10 & 116.174 & 78.9178397071456 & 37.2561602928544 \tabularnewline
11 & 57.635 & 64.198868914039 & -6.56386891403894 \tabularnewline
12 & 66.198 & 105.722364430809 & -39.5243644308092 \tabularnewline
13 & 71.701 & 74.8286874008116 & -3.12768740081162 \tabularnewline
14 & 57.793 & 62.4439361333035 & -4.65093613330349 \tabularnewline
15 & 80.444 & 88.9031568356865 & -8.45915683568645 \tabularnewline
16 & 53.855 & 61.6396211522337 & -7.7846211522337 \tabularnewline
17 & 97.668 & 116.519401100801 & -18.8514011008012 \tabularnewline
18 & 133.824 & 109.538020524316 & 24.2859794756843 \tabularnewline
19 & 101.481 & 73.8852492921867 & 27.5957507078133 \tabularnewline
20 & 99.645 & 80.4446337291158 & 19.2003662708842 \tabularnewline
21 & 114.789 & 98.888164476896 & 15.9008355231041 \tabularnewline
22 & 99.052 & 95.4819069892733 & 3.57009301072669 \tabularnewline
23 & 67.654 & 101.40764954141 & -33.7536495414103 \tabularnewline
24 & 65.553 & 78.9249651526594 & -13.3719651526594 \tabularnewline
25 & 97.5 & 84.9615883696783 & 12.5384116303218 \tabularnewline
26 & 69.112 & 84.9442185607254 & -15.8322185607254 \tabularnewline
27 & 82.753 & 84.6036516340857 & -1.85065163408565 \tabularnewline
28 & 85.323 & 92.9506007044133 & -7.62760070441336 \tabularnewline
29 & 72.654 & 101.543624152774 & -28.8896241527739 \tabularnewline
30 & 30.727 & 55.7391590726015 & -25.0121590726015 \tabularnewline
31 & 77.873 & 115.126923468641 & -37.2539234686413 \tabularnewline
32 & 117.478 & 109.935309232985 & 7.54269076701475 \tabularnewline
33 & 74.007 & 77.5733455950909 & -3.56634559509092 \tabularnewline
34 & 90.183 & 118.967625835899 & -28.7846258358994 \tabularnewline
35 & 61.542 & 43.2053352279319 & 18.3366647720681 \tabularnewline
36 & 101.494 & 127.15354496652 & -25.65954496652 \tabularnewline
37 & 27.57 & 48.2836549153836 & -20.7136549153836 \tabularnewline
38 & 55.813 & 66.5216250538681 & -10.7086250538681 \tabularnewline
39 & 79.215 & 108.268802952653 & -29.0538029526531 \tabularnewline
40 & 1.423 & 21.2064816855507 & -19.7834816855507 \tabularnewline
41 & 55.461 & 63.824267529995 & -8.36326752999498 \tabularnewline
42 & 31.081 & 48.3135328131855 & -17.2325328131855 \tabularnewline
43 & 22.996 & 41.8917271203555 & -18.8957271203555 \tabularnewline
44 & 83.122 & 105.314291858487 & -22.1922918584867 \tabularnewline
45 & 70.106 & 88.1792438362487 & -18.0732438362487 \tabularnewline
46 & 60.578 & 61.9493494982098 & -1.37134949820977 \tabularnewline
47 & 39.992 & 59.0795337909954 & -19.0875337909954 \tabularnewline
48 & 79.892 & 82.911084504188 & -3.01908450418804 \tabularnewline
49 & 49.81 & 50.2330997271204 & -0.423099727120405 \tabularnewline
50 & 71.57 & 62.975677766479 & 8.594322233521 \tabularnewline
51 & 100.708 & 70.8838887627116 & 29.8241112372884 \tabularnewline
52 & 33.032 & 46.4047865494115 & -13.3727865494115 \tabularnewline
53 & 82.875 & 89.1664992901935 & -6.29149929019355 \tabularnewline
54 & 139.077 & 117.417465467301 & 21.6595345326994 \tabularnewline
55 & 71.595 & 83.7174289439091 & -12.1224289439091 \tabularnewline
56 & 72.26 & 90.7009111361544 & -18.4409111361544 \tabularnewline
57 & 5.95 & 25.5633396115142 & -19.6133396115142 \tabularnewline
58 & 115.762 & 118.28827422157 & -2.52627422156978 \tabularnewline
59 & 32.551 & 35.8829580662018 & -3.33195806620179 \tabularnewline
60 & 31.701 & 45.8500179324509 & -14.1490179324509 \tabularnewline
61 & 80.67 & 85.7909617807747 & -5.12096178077469 \tabularnewline
62 & 143.558 & 121.755887799173 & 21.8021122008271 \tabularnewline
63 & 117.105 & 110.942307770565 & 6.16269222943493 \tabularnewline
64 & 23.789 & 44.7295576304687 & -20.9405576304687 \tabularnewline
65 & 120.733 & 129.243390864812 & -8.51039086481152 \tabularnewline
66 & 105.195 & 130.018829108946 & -24.8238291089457 \tabularnewline
67 & 73.107 & 64.6235915140295 & 8.48340848597048 \tabularnewline
68 & 132.068 & 122.418903627642 & 9.64909637235834 \tabularnewline
69 & 149.193 & 122.520602933843 & 26.6723970661573 \tabularnewline
70 & 46.821 & 48.377106033821 & -1.55610603382097 \tabularnewline
71 & 87.011 & 84.2187038655932 & 2.79229613440684 \tabularnewline
72 & 95.26 & 94.5222093509067 & 0.73779064909327 \tabularnewline
73 & 55.183 & 80.2587158852852 & -25.0757158852852 \tabularnewline
74 & 106.671 & 77.874860545791 & 28.7961394542091 \tabularnewline
75 & 73.511 & 87.3184048700953 & -13.8074048700953 \tabularnewline
76 & 92.945 & 82.593806504538 & 10.3511934954619 \tabularnewline
77 & 78.664 & 68.498092422374 & 10.165907577626 \tabularnewline
78 & 70.054 & 78.6088253595366 & -8.5548253595366 \tabularnewline
79 & 22.618 & 31.6030710358684 & -8.98507103586837 \tabularnewline
80 & 74.011 & 85.3175432193679 & -11.3065432193679 \tabularnewline
81 & 83.737 & 70.0347606927336 & 13.7022393072664 \tabularnewline
82 & 69.094 & 78.5717312787027 & -9.4777312787027 \tabularnewline
83 & 93.133 & 84.527510874443 & 8.60548912555708 \tabularnewline
84 & 95.536 & 103.485713857805 & -7.94971385780546 \tabularnewline
85 & 225.92 & 83.1770790881232 & 142.742920911877 \tabularnewline
86 & 62.133 & 71.8707017045759 & -9.73770170457585 \tabularnewline
87 & 61.37 & 63.9677517335894 & -2.59775173358939 \tabularnewline
88 & 43.836 & 55.9410935422472 & -12.1050935422472 \tabularnewline
89 & 106.117 & 92.7482886600312 & 13.3687113399688 \tabularnewline
90 & 38.692 & 64.0964769834818 & -25.4044769834818 \tabularnewline
91 & 84.651 & 93.6972902962346 & -9.04629029623458 \tabularnewline
92 & 56.622 & 51.0586139208384 & 5.56338607916158 \tabularnewline
93 & 15.986 & 36.9014735170403 & -20.9154735170403 \tabularnewline
94 & 95.364 & 76.4528375873488 & 18.9111624126512 \tabularnewline
95 & 26.706 & 52.8308734592799 & -26.1248734592799 \tabularnewline
96 & 89.691 & 82.7873725306109 & 6.90362746938908 \tabularnewline
97 & 67.267 & 72.8768657480365 & -5.60986574803648 \tabularnewline
98 & 126.846 & 84.447350827244 & 42.398649172756 \tabularnewline
99 & 41.14 & 59.4559417995379 & -18.3159417995379 \tabularnewline
100 & 102.86 & 99.1006343575546 & 3.75936564244536 \tabularnewline
101 & 51.715 & 61.0958602384077 & -9.38086023840772 \tabularnewline
102 & 55.801 & 78.1790929037914 & -22.3780929037914 \tabularnewline
103 & 111.813 & 94.9858373388441 & 16.8271626611559 \tabularnewline
104 & 120.293 & 84.1476661575696 & 36.1453338424304 \tabularnewline
105 & 138.599 & 108.902638752542 & 29.6963612474578 \tabularnewline
106 & 161.647 & 122.736482765072 & 38.9105172349282 \tabularnewline
107 & 115.929 & 119.879345497374 & -3.95034549737431 \tabularnewline
108 & 24.266 & 32.1862669638079 & -7.92026696380793 \tabularnewline
109 & 162.901 & 140.54042402723 & 22.3605759727704 \tabularnewline
110 & 109.825 & 83.9575457244499 & 25.8674542755501 \tabularnewline
111 & 129.838 & 119.675544206035 & 10.1624557939645 \tabularnewline
112 & 37.51 & 38.6199453812497 & -1.10994538124971 \tabularnewline
113 & 43.75 & 38.7902768175318 & 4.95972318246821 \tabularnewline
114 & 40.652 & 53.48820488479 & -12.83620488479 \tabularnewline
115 & 87.771 & 85.5484153862582 & 2.22258461374185 \tabularnewline
116 & 85.872 & 80.7304581550357 & 5.14154184496428 \tabularnewline
117 & 89.275 & 92.6764749241952 & -3.40147492419516 \tabularnewline
118 & 44.418 & 68.0382264454368 & -23.6202264454369 \tabularnewline
119 & 192.565 & 84.5264808820846 & 108.038519117915 \tabularnewline
120 & 35.232 & 44.7747680800268 & -9.5427680800268 \tabularnewline
121 & 40.909 & 55.8129516835726 & -14.9039516835726 \tabularnewline
122 & 13.294 & 33.8242734041069 & -20.5302734041069 \tabularnewline
123 & 32.387 & 55.7250636371963 & -23.3380636371963 \tabularnewline
124 & 140.867 & 59.2752992656684 & 81.5917007343316 \tabularnewline
125 & 120.662 & 103.853867327566 & 16.8081326724345 \tabularnewline
126 & 21.233 & 39.7782942892128 & -18.5452942892128 \tabularnewline
127 & 44.332 & 44.5570220816718 & -0.225022081671769 \tabularnewline
128 & 61.056 & 61.8312165707644 & -0.775216570764404 \tabularnewline
129 & 101.338 & 82.1181379020126 & 19.2198620979874 \tabularnewline
130 & 1.168 & 24.0501388369959 & -22.8821388369959 \tabularnewline
131 & 13.497 & 19.085085021028 & -5.58808502102802 \tabularnewline
132 & 65.567 & 67.6803275021495 & -2.11332750214954 \tabularnewline
133 & 25.162 & 37.0754111762518 & -11.9134111762518 \tabularnewline
134 & 32.334 & 43.7462422322249 & -11.4122422322249 \tabularnewline
135 & 40.735 & 61.7708388204881 & -21.0358388204881 \tabularnewline
136 & 91.413 & 130.857862202108 & -39.4448622021077 \tabularnewline
137 & 855 & 22.7070956280543 & 832.292904371946 \tabularnewline
138 & 97.068 & 78.4030959473264 & 18.6649040526736 \tabularnewline
139 & 44.339 & 27.7830617084398 & 16.5559382915602 \tabularnewline
140 & 14.116 & 27.5537171507555 & -13.4377171507555 \tabularnewline
141 & 10.288 & 24.6402733794376 & -14.3522733794376 \tabularnewline
142 & 65.622 & 63.2240031126295 & 2.39799688737055 \tabularnewline
143 & 16.563 & 26.2531932807329 & -9.69019328073292 \tabularnewline
144 & 76.643 & 102.891070537929 & -26.2480705379291 \tabularnewline
145 & 110.681 & 73.1626442019032 & 37.5183557980967 \tabularnewline
146 & 29.011 & 32.5602360653223 & -3.54923606532233 \tabularnewline
147 & 92.696 & 40.8430763035838 & 51.8529236964161 \tabularnewline
148 & 94.785 & 58.2245744773206 & 36.5604255226794 \tabularnewline
149 & 8.773 & 27.6027482330502 & -18.8297482330502 \tabularnewline
150 & 83.209 & 66.8493395141858 & 16.3596604858142 \tabularnewline
151 & 93.815 & 106.833613885711 & -13.0186138857112 \tabularnewline
152 & 86.687 & 94.1015639984769 & -7.41456399847686 \tabularnewline
153 & 34.553 & 44.5999440607808 & -10.0469440607808 \tabularnewline
154 & 105.547 & 122.131838698488 & -16.5848386984879 \tabularnewline
155 & 103.487 & 118.3111981956 & -14.8241981956003 \tabularnewline
156 & 213.688 & 152.89890421194 & 60.7890957880595 \tabularnewline
157 & 71.22 & 82.8861872247888 & -11.6661872247888 \tabularnewline
158 & 23.517 & 42.9520335005096 & -19.4350335005096 \tabularnewline
159 & 56.926 & 45.0588584228741 & 11.8671415771259 \tabularnewline
160 & 91.721 & 79.0340101577298 & 12.6869898422702 \tabularnewline
161 & 115.168 & 126.082918318391 & -10.9149183183914 \tabularnewline
162 & 111.194 & 33.9935487691961 & 77.2004512308039 \tabularnewline
163 & 51.009 & 55.5226230019046 & -4.51362300190459 \tabularnewline
164 & 135.777 & 103.777644871981 & 31.9993551280187 \tabularnewline
165 & 51.513 & 55.8722692236773 & -4.35926922367726 \tabularnewline
166 & 74.163 & 98.074430910855 & -23.911430910855 \tabularnewline
167 & 51.633 & 76.870073711166 & -25.237073711166 \tabularnewline
168 & 75.345 & 33.1522052731474 & 42.1927947268526 \tabularnewline
169 & 33.416 & 54.8466561810669 & -21.4306561810669 \tabularnewline
170 & 83.305 & 67.4502280278177 & 15.8547719721823 \tabularnewline
171 & 98.952 & 81.1495435780002 & 17.8024564219998 \tabularnewline
172 & 102.372 & 101.591497793642 & 0.780502206358355 \tabularnewline
173 & 37.238 & 36.7661571296438 & 0.471842870356228 \tabularnewline
174 & 103.772 & 93.2364391808703 & 10.5355608191297 \tabularnewline
175 & 123.969 & 72.7338326778305 & 51.2351673221695 \tabularnewline
176 & 27.142 & 50.7934242802298 & -23.6514242802298 \tabularnewline
177 & 135.4 & 96.1152524057485 & 39.2847475942515 \tabularnewline
178 & 21.399 & 31.2365834495868 & -9.83758344958677 \tabularnewline
179 & 130.115 & 112.957155897261 & 17.1578441027392 \tabularnewline
180 & 24.874 & 51.3669135424015 & -26.4929135424015 \tabularnewline
181 & 34.988 & 36.4620094429467 & -1.47400944294669 \tabularnewline
182 & 45.549 & 30.5603807127419 & 14.9886192872581 \tabularnewline
183 & 6.023 & 24.2088839655196 & -18.1858839655196 \tabularnewline
184 & 64.466 & 68.3106220495077 & -3.84462204950766 \tabularnewline
185 & 54.99 & 93.0522353871881 & -38.0622353871881 \tabularnewline
186 & 1.644 & 23.285565349056 & -21.641565349056 \tabularnewline
187 & 6.179 & 30.6895667197479 & -24.5105667197479 \tabularnewline
188 & 3.926 & 24.4472955914607 & -20.5212955914607 \tabularnewline
189 & 32.755 & 59.5879144336419 & -26.8329144336419 \tabularnewline
190 & 34.777 & 15.0517268608118 & 19.7252731391882 \tabularnewline
191 & 73.224 & 46.1423028383581 & 27.0816971616419 \tabularnewline
192 & 27.114 & 35.1613977349662 & -8.04739773496616 \tabularnewline
193 & 20.76 & 41.1972850414188 & -20.4372850414188 \tabularnewline
194 & 37.636 & 38.0299883563211 & -0.393988356321054 \tabularnewline
195 & 65.461 & 79.8888962665715 & -14.4278962665715 \tabularnewline
196 & 30.08 & 54.9107784984391 & -24.8307784984391 \tabularnewline
197 & 24.094 & 35.5522371052277 & -11.4582371052277 \tabularnewline
198 & 69.008 & 44.8999067849718 & 24.1080932150282 \tabularnewline
199 & 54.968 & 45.5133000601523 & 9.45469993984773 \tabularnewline
200 & 46.09 & 47.1093717507796 & -1.01937175077961 \tabularnewline
201 & 27.507 & 40.0322908830375 & -12.5252908830375 \tabularnewline
202 & 10.672 & 26.7566424216081 & -16.0846424216081 \tabularnewline
203 & 34.029 & 48.014063143551 & -13.985063143551 \tabularnewline
204 & 46.3 & 52.399807020298 & -6.09980702029799 \tabularnewline
205 & 24.76 & 39.590519160522 & -14.830519160522 \tabularnewline
206 & 18.779 & 18.8594925863231 & -0.0804925863230792 \tabularnewline
207 & 21.28 & 38.4424699527354 & -17.1624699527354 \tabularnewline
208 & 40.662 & 60.7552132321796 & -20.0932132321796 \tabularnewline
209 & 28.987 & 49.0785068991679 & -20.0915068991679 \tabularnewline
210 & 22.827 & 56.3907986263262 & -33.5637986263262 \tabularnewline
211 & 18.513 & 44.2646829872481 & -25.751682987248 \tabularnewline
212 & 30.594 & 43.9040798552326 & -13.3100798552326 \tabularnewline
213 & 24.006 & 30.9270481763884 & -6.92104817638837 \tabularnewline
214 & 27.913 & 44.4828306602802 & -16.5698306602802 \tabularnewline
215 & 42.744 & 23.9723348847028 & 18.7716651152972 \tabularnewline
216 & 12.934 & 34.4044573968482 & -21.4704573968482 \tabularnewline
217 & 22.574 & 38.5702761343956 & -15.9962761343956 \tabularnewline
218 & 41.385 & 35.1079110265111 & 6.27708897348886 \tabularnewline
219 & 18.653 & 35.5303279520705 & -16.8773279520705 \tabularnewline
220 & 18.472 & 36.8983959701232 & -18.4263959701232 \tabularnewline
221 & 30.976 & 42.8252246900449 & -11.8492246900449 \tabularnewline
222 & 63.339 & 69.0315525613881 & -5.69255256138811 \tabularnewline
223 & 25.568 & 48.8413960775226 & -23.2733960775226 \tabularnewline
224 & 33.747 & 41.4185447557638 & -7.67154475576379 \tabularnewline
225 & 4.154 & 18.7567432280841 & -14.6027432280841 \tabularnewline
226 & 19.474 & 46.5892511345247 & -27.1152511345247 \tabularnewline
227 & 35.13 & 29.6145624086063 & 5.51543759139367 \tabularnewline
228 & 39.067 & 45.139060974096 & -6.07206097409597 \tabularnewline
229 & 13.31 & 35.8478966227358 & -22.5378966227358 \tabularnewline
230 & 65.892 & 42.4934621090383 & 23.3985378909617 \tabularnewline
231 & 4.143 & 19.6007215267275 & -15.4577215267275 \tabularnewline
232 & 28.579 & 43.7225360923089 & -15.1435360923089 \tabularnewline
233 & 51.776 & 55.0213787812524 & -3.24537878125236 \tabularnewline
234 & 21.152 & 26.962567652693 & -5.81056765269301 \tabularnewline
235 & 38.084 & 29.4493335930523 & 8.63466640694774 \tabularnewline
236 & 27.717 & 31.8548231940147 & -4.13782319401473 \tabularnewline
237 & 32.928 & 43.1091174901099 & -10.1811174901099 \tabularnewline
238 & 11.342 & 19.3524130696658 & -8.01041306966584 \tabularnewline
239 & 19.499 & 36.5840782366491 & -17.0850782366491 \tabularnewline
240 & 16.38 & 26.7039373398075 & -10.3239373398075 \tabularnewline
241 & 36.874 & 38.1147740771251 & -1.24077407712515 \tabularnewline
242 & 48.259 & 63.4021887470826 & -15.1431887470826 \tabularnewline
243 & 16.734 & 29.0379250146572 & -12.3039250146572 \tabularnewline
244 & 28.207 & 32.3772151395345 & -4.17021513953446 \tabularnewline
245 & 30.143 & 41.741092646976 & -11.598092646976 \tabularnewline
246 & 41.369 & 41.0197780920388 & 0.349221907961196 \tabularnewline
247 & 45.833 & 49.1653012919969 & -3.33230129199693 \tabularnewline
248 & 29.156 & 38.6531950532733 & -9.49719505327333 \tabularnewline
249 & 35.944 & 33.1800872804622 & 2.76391271953782 \tabularnewline
250 & 36.278 & 29.5109096590382 & 6.76709034096178 \tabularnewline
251 & 45.588 & 56.0503370126379 & -10.4623370126379 \tabularnewline
252 & 45.097 & 47.3766267666067 & -2.27962676660667 \tabularnewline
253 & 3.895 & 25.9356359351026 & -22.0406359351026 \tabularnewline
254 & 28.394 & 38.044712488105 & -9.65071248810503 \tabularnewline
255 & 18.632 & 41.6043959318233 & -22.9723959318233 \tabularnewline
256 & 2.325 & 19.266402538733 & -16.941402538733 \tabularnewline
257 & 25.139 & 32.0199718102088 & -6.88097181020876 \tabularnewline
258 & 27.975 & 26.5492395418506 & 1.4257604581494 \tabularnewline
259 & 14.483 & 27.7620003767892 & -13.2790003767892 \tabularnewline
260 & 13.127 & 26.8624814093912 & -13.7354814093912 \tabularnewline
261 & 5.839 & 9.97206119716361 & -4.13306119716361 \tabularnewline
262 & 24.069 & 45.4581593743299 & -21.3891593743299 \tabularnewline
263 & 3.738 & 21.1800939875724 & -17.4420939875724 \tabularnewline
264 & 18.625 & 29.8635994566344 & -11.2385994566344 \tabularnewline
265 & 36.341 & 36.3037116695238 & 0.0372883304762189 \tabularnewline
266 & 24.548 & 37.4267744025658 & -12.8787744025658 \tabularnewline
267 & 21.792 & 38.2601363597325 & -16.4681363597325 \tabularnewline
268 & 26.263 & 32.3544054835447 & -6.09140548354474 \tabularnewline
269 & 23.686 & 48.5161702866232 & -24.8301702866232 \tabularnewline
270 & 49.303 & 38.3022475506099 & 11.0007524493901 \tabularnewline
271 & 25.659 & 36.5681425548385 & -10.9091425548385 \tabularnewline
272 & 28.904 & 37.2984365180295 & -8.3944365180295 \tabularnewline
273 & 2.781 & 23.2456662504962 & -20.4646662504962 \tabularnewline
274 & 29.236 & 46.9035615843846 & -17.6675615843846 \tabularnewline
275 & 19.546 & 29.9099113852466 & -10.3639113852466 \tabularnewline
276 & 22.818 & 26.9506259534363 & -4.13262595343633 \tabularnewline
277 & 32.689 & 19.608922084032 & 13.080077915968 \tabularnewline
278 & 5.752 & 24.6908239880991 & -18.9388239880991 \tabularnewline
279 & 22.197 & 49.5152493139816 & -27.3182493139816 \tabularnewline
280 & 20.055 & 39.4522268902505 & -19.3972268902505 \tabularnewline
281 & 25.272 & 34.9163077018658 & -9.64430770186582 \tabularnewline
282 & 82.206 & 29.9143520243943 & 52.2916479756057 \tabularnewline
283 & 32.073 & 32.8707633500377 & -0.79776335003768 \tabularnewline
284 & 5.444 & 21.0672032923573 & -15.6232032923573 \tabularnewline
285 & 20.154 & 31.0747318346441 & -10.9207318346441 \tabularnewline
286 & 36.944 & 20.4120284890617 & 16.5319715109383 \tabularnewline
287 & 8.019 & 25.7362146484164 & -17.7172146484165 \tabularnewline
288 & 30.884 & 46.179917332148 & -15.295917332148 \tabularnewline
289 & 19.54 & 31.7271757330496 & -12.1871757330496 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155721&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]112.285[/C][C]103.905629682613[/C][C]8.37937031738685[/C][/ROW]
[ROW][C]2[/C][C]84.786[/C][C]80.2299747208537[/C][C]4.55602527914634[/C][/ROW]
[ROW][C]3[/C][C]83.123[/C][C]64.4906852082742[/C][C]18.6323147917258[/C][/ROW]
[ROW][C]4[/C][C]101.193[/C][C]87.5987327543567[/C][C]13.5942672456433[/C][/ROW]
[ROW][C]5[/C][C]38.361[/C][C]59.4988442339638[/C][C]-21.1378442339638[/C][/ROW]
[ROW][C]6[/C][C]68.504[/C][C]39.6133457028782[/C][C]28.8906542971218[/C][/ROW]
[ROW][C]7[/C][C]119.182[/C][C]128.240301892334[/C][C]-9.05830189233418[/C][/ROW]
[ROW][C]8[/C][C]22.807[/C][C]12.563494448877[/C][C]10.243505551123[/C][/ROW]
[ROW][C]9[/C][C]17.14[/C][C]36.2289469620839[/C][C]-19.0889469620839[/C][/ROW]
[ROW][C]10[/C][C]116.174[/C][C]78.9178397071456[/C][C]37.2561602928544[/C][/ROW]
[ROW][C]11[/C][C]57.635[/C][C]64.198868914039[/C][C]-6.56386891403894[/C][/ROW]
[ROW][C]12[/C][C]66.198[/C][C]105.722364430809[/C][C]-39.5243644308092[/C][/ROW]
[ROW][C]13[/C][C]71.701[/C][C]74.8286874008116[/C][C]-3.12768740081162[/C][/ROW]
[ROW][C]14[/C][C]57.793[/C][C]62.4439361333035[/C][C]-4.65093613330349[/C][/ROW]
[ROW][C]15[/C][C]80.444[/C][C]88.9031568356865[/C][C]-8.45915683568645[/C][/ROW]
[ROW][C]16[/C][C]53.855[/C][C]61.6396211522337[/C][C]-7.7846211522337[/C][/ROW]
[ROW][C]17[/C][C]97.668[/C][C]116.519401100801[/C][C]-18.8514011008012[/C][/ROW]
[ROW][C]18[/C][C]133.824[/C][C]109.538020524316[/C][C]24.2859794756843[/C][/ROW]
[ROW][C]19[/C][C]101.481[/C][C]73.8852492921867[/C][C]27.5957507078133[/C][/ROW]
[ROW][C]20[/C][C]99.645[/C][C]80.4446337291158[/C][C]19.2003662708842[/C][/ROW]
[ROW][C]21[/C][C]114.789[/C][C]98.888164476896[/C][C]15.9008355231041[/C][/ROW]
[ROW][C]22[/C][C]99.052[/C][C]95.4819069892733[/C][C]3.57009301072669[/C][/ROW]
[ROW][C]23[/C][C]67.654[/C][C]101.40764954141[/C][C]-33.7536495414103[/C][/ROW]
[ROW][C]24[/C][C]65.553[/C][C]78.9249651526594[/C][C]-13.3719651526594[/C][/ROW]
[ROW][C]25[/C][C]97.5[/C][C]84.9615883696783[/C][C]12.5384116303218[/C][/ROW]
[ROW][C]26[/C][C]69.112[/C][C]84.9442185607254[/C][C]-15.8322185607254[/C][/ROW]
[ROW][C]27[/C][C]82.753[/C][C]84.6036516340857[/C][C]-1.85065163408565[/C][/ROW]
[ROW][C]28[/C][C]85.323[/C][C]92.9506007044133[/C][C]-7.62760070441336[/C][/ROW]
[ROW][C]29[/C][C]72.654[/C][C]101.543624152774[/C][C]-28.8896241527739[/C][/ROW]
[ROW][C]30[/C][C]30.727[/C][C]55.7391590726015[/C][C]-25.0121590726015[/C][/ROW]
[ROW][C]31[/C][C]77.873[/C][C]115.126923468641[/C][C]-37.2539234686413[/C][/ROW]
[ROW][C]32[/C][C]117.478[/C][C]109.935309232985[/C][C]7.54269076701475[/C][/ROW]
[ROW][C]33[/C][C]74.007[/C][C]77.5733455950909[/C][C]-3.56634559509092[/C][/ROW]
[ROW][C]34[/C][C]90.183[/C][C]118.967625835899[/C][C]-28.7846258358994[/C][/ROW]
[ROW][C]35[/C][C]61.542[/C][C]43.2053352279319[/C][C]18.3366647720681[/C][/ROW]
[ROW][C]36[/C][C]101.494[/C][C]127.15354496652[/C][C]-25.65954496652[/C][/ROW]
[ROW][C]37[/C][C]27.57[/C][C]48.2836549153836[/C][C]-20.7136549153836[/C][/ROW]
[ROW][C]38[/C][C]55.813[/C][C]66.5216250538681[/C][C]-10.7086250538681[/C][/ROW]
[ROW][C]39[/C][C]79.215[/C][C]108.268802952653[/C][C]-29.0538029526531[/C][/ROW]
[ROW][C]40[/C][C]1.423[/C][C]21.2064816855507[/C][C]-19.7834816855507[/C][/ROW]
[ROW][C]41[/C][C]55.461[/C][C]63.824267529995[/C][C]-8.36326752999498[/C][/ROW]
[ROW][C]42[/C][C]31.081[/C][C]48.3135328131855[/C][C]-17.2325328131855[/C][/ROW]
[ROW][C]43[/C][C]22.996[/C][C]41.8917271203555[/C][C]-18.8957271203555[/C][/ROW]
[ROW][C]44[/C][C]83.122[/C][C]105.314291858487[/C][C]-22.1922918584867[/C][/ROW]
[ROW][C]45[/C][C]70.106[/C][C]88.1792438362487[/C][C]-18.0732438362487[/C][/ROW]
[ROW][C]46[/C][C]60.578[/C][C]61.9493494982098[/C][C]-1.37134949820977[/C][/ROW]
[ROW][C]47[/C][C]39.992[/C][C]59.0795337909954[/C][C]-19.0875337909954[/C][/ROW]
[ROW][C]48[/C][C]79.892[/C][C]82.911084504188[/C][C]-3.01908450418804[/C][/ROW]
[ROW][C]49[/C][C]49.81[/C][C]50.2330997271204[/C][C]-0.423099727120405[/C][/ROW]
[ROW][C]50[/C][C]71.57[/C][C]62.975677766479[/C][C]8.594322233521[/C][/ROW]
[ROW][C]51[/C][C]100.708[/C][C]70.8838887627116[/C][C]29.8241112372884[/C][/ROW]
[ROW][C]52[/C][C]33.032[/C][C]46.4047865494115[/C][C]-13.3727865494115[/C][/ROW]
[ROW][C]53[/C][C]82.875[/C][C]89.1664992901935[/C][C]-6.29149929019355[/C][/ROW]
[ROW][C]54[/C][C]139.077[/C][C]117.417465467301[/C][C]21.6595345326994[/C][/ROW]
[ROW][C]55[/C][C]71.595[/C][C]83.7174289439091[/C][C]-12.1224289439091[/C][/ROW]
[ROW][C]56[/C][C]72.26[/C][C]90.7009111361544[/C][C]-18.4409111361544[/C][/ROW]
[ROW][C]57[/C][C]5.95[/C][C]25.5633396115142[/C][C]-19.6133396115142[/C][/ROW]
[ROW][C]58[/C][C]115.762[/C][C]118.28827422157[/C][C]-2.52627422156978[/C][/ROW]
[ROW][C]59[/C][C]32.551[/C][C]35.8829580662018[/C][C]-3.33195806620179[/C][/ROW]
[ROW][C]60[/C][C]31.701[/C][C]45.8500179324509[/C][C]-14.1490179324509[/C][/ROW]
[ROW][C]61[/C][C]80.67[/C][C]85.7909617807747[/C][C]-5.12096178077469[/C][/ROW]
[ROW][C]62[/C][C]143.558[/C][C]121.755887799173[/C][C]21.8021122008271[/C][/ROW]
[ROW][C]63[/C][C]117.105[/C][C]110.942307770565[/C][C]6.16269222943493[/C][/ROW]
[ROW][C]64[/C][C]23.789[/C][C]44.7295576304687[/C][C]-20.9405576304687[/C][/ROW]
[ROW][C]65[/C][C]120.733[/C][C]129.243390864812[/C][C]-8.51039086481152[/C][/ROW]
[ROW][C]66[/C][C]105.195[/C][C]130.018829108946[/C][C]-24.8238291089457[/C][/ROW]
[ROW][C]67[/C][C]73.107[/C][C]64.6235915140295[/C][C]8.48340848597048[/C][/ROW]
[ROW][C]68[/C][C]132.068[/C][C]122.418903627642[/C][C]9.64909637235834[/C][/ROW]
[ROW][C]69[/C][C]149.193[/C][C]122.520602933843[/C][C]26.6723970661573[/C][/ROW]
[ROW][C]70[/C][C]46.821[/C][C]48.377106033821[/C][C]-1.55610603382097[/C][/ROW]
[ROW][C]71[/C][C]87.011[/C][C]84.2187038655932[/C][C]2.79229613440684[/C][/ROW]
[ROW][C]72[/C][C]95.26[/C][C]94.5222093509067[/C][C]0.73779064909327[/C][/ROW]
[ROW][C]73[/C][C]55.183[/C][C]80.2587158852852[/C][C]-25.0757158852852[/C][/ROW]
[ROW][C]74[/C][C]106.671[/C][C]77.874860545791[/C][C]28.7961394542091[/C][/ROW]
[ROW][C]75[/C][C]73.511[/C][C]87.3184048700953[/C][C]-13.8074048700953[/C][/ROW]
[ROW][C]76[/C][C]92.945[/C][C]82.593806504538[/C][C]10.3511934954619[/C][/ROW]
[ROW][C]77[/C][C]78.664[/C][C]68.498092422374[/C][C]10.165907577626[/C][/ROW]
[ROW][C]78[/C][C]70.054[/C][C]78.6088253595366[/C][C]-8.5548253595366[/C][/ROW]
[ROW][C]79[/C][C]22.618[/C][C]31.6030710358684[/C][C]-8.98507103586837[/C][/ROW]
[ROW][C]80[/C][C]74.011[/C][C]85.3175432193679[/C][C]-11.3065432193679[/C][/ROW]
[ROW][C]81[/C][C]83.737[/C][C]70.0347606927336[/C][C]13.7022393072664[/C][/ROW]
[ROW][C]82[/C][C]69.094[/C][C]78.5717312787027[/C][C]-9.4777312787027[/C][/ROW]
[ROW][C]83[/C][C]93.133[/C][C]84.527510874443[/C][C]8.60548912555708[/C][/ROW]
[ROW][C]84[/C][C]95.536[/C][C]103.485713857805[/C][C]-7.94971385780546[/C][/ROW]
[ROW][C]85[/C][C]225.92[/C][C]83.1770790881232[/C][C]142.742920911877[/C][/ROW]
[ROW][C]86[/C][C]62.133[/C][C]71.8707017045759[/C][C]-9.73770170457585[/C][/ROW]
[ROW][C]87[/C][C]61.37[/C][C]63.9677517335894[/C][C]-2.59775173358939[/C][/ROW]
[ROW][C]88[/C][C]43.836[/C][C]55.9410935422472[/C][C]-12.1050935422472[/C][/ROW]
[ROW][C]89[/C][C]106.117[/C][C]92.7482886600312[/C][C]13.3687113399688[/C][/ROW]
[ROW][C]90[/C][C]38.692[/C][C]64.0964769834818[/C][C]-25.4044769834818[/C][/ROW]
[ROW][C]91[/C][C]84.651[/C][C]93.6972902962346[/C][C]-9.04629029623458[/C][/ROW]
[ROW][C]92[/C][C]56.622[/C][C]51.0586139208384[/C][C]5.56338607916158[/C][/ROW]
[ROW][C]93[/C][C]15.986[/C][C]36.9014735170403[/C][C]-20.9154735170403[/C][/ROW]
[ROW][C]94[/C][C]95.364[/C][C]76.4528375873488[/C][C]18.9111624126512[/C][/ROW]
[ROW][C]95[/C][C]26.706[/C][C]52.8308734592799[/C][C]-26.1248734592799[/C][/ROW]
[ROW][C]96[/C][C]89.691[/C][C]82.7873725306109[/C][C]6.90362746938908[/C][/ROW]
[ROW][C]97[/C][C]67.267[/C][C]72.8768657480365[/C][C]-5.60986574803648[/C][/ROW]
[ROW][C]98[/C][C]126.846[/C][C]84.447350827244[/C][C]42.398649172756[/C][/ROW]
[ROW][C]99[/C][C]41.14[/C][C]59.4559417995379[/C][C]-18.3159417995379[/C][/ROW]
[ROW][C]100[/C][C]102.86[/C][C]99.1006343575546[/C][C]3.75936564244536[/C][/ROW]
[ROW][C]101[/C][C]51.715[/C][C]61.0958602384077[/C][C]-9.38086023840772[/C][/ROW]
[ROW][C]102[/C][C]55.801[/C][C]78.1790929037914[/C][C]-22.3780929037914[/C][/ROW]
[ROW][C]103[/C][C]111.813[/C][C]94.9858373388441[/C][C]16.8271626611559[/C][/ROW]
[ROW][C]104[/C][C]120.293[/C][C]84.1476661575696[/C][C]36.1453338424304[/C][/ROW]
[ROW][C]105[/C][C]138.599[/C][C]108.902638752542[/C][C]29.6963612474578[/C][/ROW]
[ROW][C]106[/C][C]161.647[/C][C]122.736482765072[/C][C]38.9105172349282[/C][/ROW]
[ROW][C]107[/C][C]115.929[/C][C]119.879345497374[/C][C]-3.95034549737431[/C][/ROW]
[ROW][C]108[/C][C]24.266[/C][C]32.1862669638079[/C][C]-7.92026696380793[/C][/ROW]
[ROW][C]109[/C][C]162.901[/C][C]140.54042402723[/C][C]22.3605759727704[/C][/ROW]
[ROW][C]110[/C][C]109.825[/C][C]83.9575457244499[/C][C]25.8674542755501[/C][/ROW]
[ROW][C]111[/C][C]129.838[/C][C]119.675544206035[/C][C]10.1624557939645[/C][/ROW]
[ROW][C]112[/C][C]37.51[/C][C]38.6199453812497[/C][C]-1.10994538124971[/C][/ROW]
[ROW][C]113[/C][C]43.75[/C][C]38.7902768175318[/C][C]4.95972318246821[/C][/ROW]
[ROW][C]114[/C][C]40.652[/C][C]53.48820488479[/C][C]-12.83620488479[/C][/ROW]
[ROW][C]115[/C][C]87.771[/C][C]85.5484153862582[/C][C]2.22258461374185[/C][/ROW]
[ROW][C]116[/C][C]85.872[/C][C]80.7304581550357[/C][C]5.14154184496428[/C][/ROW]
[ROW][C]117[/C][C]89.275[/C][C]92.6764749241952[/C][C]-3.40147492419516[/C][/ROW]
[ROW][C]118[/C][C]44.418[/C][C]68.0382264454368[/C][C]-23.6202264454369[/C][/ROW]
[ROW][C]119[/C][C]192.565[/C][C]84.5264808820846[/C][C]108.038519117915[/C][/ROW]
[ROW][C]120[/C][C]35.232[/C][C]44.7747680800268[/C][C]-9.5427680800268[/C][/ROW]
[ROW][C]121[/C][C]40.909[/C][C]55.8129516835726[/C][C]-14.9039516835726[/C][/ROW]
[ROW][C]122[/C][C]13.294[/C][C]33.8242734041069[/C][C]-20.5302734041069[/C][/ROW]
[ROW][C]123[/C][C]32.387[/C][C]55.7250636371963[/C][C]-23.3380636371963[/C][/ROW]
[ROW][C]124[/C][C]140.867[/C][C]59.2752992656684[/C][C]81.5917007343316[/C][/ROW]
[ROW][C]125[/C][C]120.662[/C][C]103.853867327566[/C][C]16.8081326724345[/C][/ROW]
[ROW][C]126[/C][C]21.233[/C][C]39.7782942892128[/C][C]-18.5452942892128[/C][/ROW]
[ROW][C]127[/C][C]44.332[/C][C]44.5570220816718[/C][C]-0.225022081671769[/C][/ROW]
[ROW][C]128[/C][C]61.056[/C][C]61.8312165707644[/C][C]-0.775216570764404[/C][/ROW]
[ROW][C]129[/C][C]101.338[/C][C]82.1181379020126[/C][C]19.2198620979874[/C][/ROW]
[ROW][C]130[/C][C]1.168[/C][C]24.0501388369959[/C][C]-22.8821388369959[/C][/ROW]
[ROW][C]131[/C][C]13.497[/C][C]19.085085021028[/C][C]-5.58808502102802[/C][/ROW]
[ROW][C]132[/C][C]65.567[/C][C]67.6803275021495[/C][C]-2.11332750214954[/C][/ROW]
[ROW][C]133[/C][C]25.162[/C][C]37.0754111762518[/C][C]-11.9134111762518[/C][/ROW]
[ROW][C]134[/C][C]32.334[/C][C]43.7462422322249[/C][C]-11.4122422322249[/C][/ROW]
[ROW][C]135[/C][C]40.735[/C][C]61.7708388204881[/C][C]-21.0358388204881[/C][/ROW]
[ROW][C]136[/C][C]91.413[/C][C]130.857862202108[/C][C]-39.4448622021077[/C][/ROW]
[ROW][C]137[/C][C]855[/C][C]22.7070956280543[/C][C]832.292904371946[/C][/ROW]
[ROW][C]138[/C][C]97.068[/C][C]78.4030959473264[/C][C]18.6649040526736[/C][/ROW]
[ROW][C]139[/C][C]44.339[/C][C]27.7830617084398[/C][C]16.5559382915602[/C][/ROW]
[ROW][C]140[/C][C]14.116[/C][C]27.5537171507555[/C][C]-13.4377171507555[/C][/ROW]
[ROW][C]141[/C][C]10.288[/C][C]24.6402733794376[/C][C]-14.3522733794376[/C][/ROW]
[ROW][C]142[/C][C]65.622[/C][C]63.2240031126295[/C][C]2.39799688737055[/C][/ROW]
[ROW][C]143[/C][C]16.563[/C][C]26.2531932807329[/C][C]-9.69019328073292[/C][/ROW]
[ROW][C]144[/C][C]76.643[/C][C]102.891070537929[/C][C]-26.2480705379291[/C][/ROW]
[ROW][C]145[/C][C]110.681[/C][C]73.1626442019032[/C][C]37.5183557980967[/C][/ROW]
[ROW][C]146[/C][C]29.011[/C][C]32.5602360653223[/C][C]-3.54923606532233[/C][/ROW]
[ROW][C]147[/C][C]92.696[/C][C]40.8430763035838[/C][C]51.8529236964161[/C][/ROW]
[ROW][C]148[/C][C]94.785[/C][C]58.2245744773206[/C][C]36.5604255226794[/C][/ROW]
[ROW][C]149[/C][C]8.773[/C][C]27.6027482330502[/C][C]-18.8297482330502[/C][/ROW]
[ROW][C]150[/C][C]83.209[/C][C]66.8493395141858[/C][C]16.3596604858142[/C][/ROW]
[ROW][C]151[/C][C]93.815[/C][C]106.833613885711[/C][C]-13.0186138857112[/C][/ROW]
[ROW][C]152[/C][C]86.687[/C][C]94.1015639984769[/C][C]-7.41456399847686[/C][/ROW]
[ROW][C]153[/C][C]34.553[/C][C]44.5999440607808[/C][C]-10.0469440607808[/C][/ROW]
[ROW][C]154[/C][C]105.547[/C][C]122.131838698488[/C][C]-16.5848386984879[/C][/ROW]
[ROW][C]155[/C][C]103.487[/C][C]118.3111981956[/C][C]-14.8241981956003[/C][/ROW]
[ROW][C]156[/C][C]213.688[/C][C]152.89890421194[/C][C]60.7890957880595[/C][/ROW]
[ROW][C]157[/C][C]71.22[/C][C]82.8861872247888[/C][C]-11.6661872247888[/C][/ROW]
[ROW][C]158[/C][C]23.517[/C][C]42.9520335005096[/C][C]-19.4350335005096[/C][/ROW]
[ROW][C]159[/C][C]56.926[/C][C]45.0588584228741[/C][C]11.8671415771259[/C][/ROW]
[ROW][C]160[/C][C]91.721[/C][C]79.0340101577298[/C][C]12.6869898422702[/C][/ROW]
[ROW][C]161[/C][C]115.168[/C][C]126.082918318391[/C][C]-10.9149183183914[/C][/ROW]
[ROW][C]162[/C][C]111.194[/C][C]33.9935487691961[/C][C]77.2004512308039[/C][/ROW]
[ROW][C]163[/C][C]51.009[/C][C]55.5226230019046[/C][C]-4.51362300190459[/C][/ROW]
[ROW][C]164[/C][C]135.777[/C][C]103.777644871981[/C][C]31.9993551280187[/C][/ROW]
[ROW][C]165[/C][C]51.513[/C][C]55.8722692236773[/C][C]-4.35926922367726[/C][/ROW]
[ROW][C]166[/C][C]74.163[/C][C]98.074430910855[/C][C]-23.911430910855[/C][/ROW]
[ROW][C]167[/C][C]51.633[/C][C]76.870073711166[/C][C]-25.237073711166[/C][/ROW]
[ROW][C]168[/C][C]75.345[/C][C]33.1522052731474[/C][C]42.1927947268526[/C][/ROW]
[ROW][C]169[/C][C]33.416[/C][C]54.8466561810669[/C][C]-21.4306561810669[/C][/ROW]
[ROW][C]170[/C][C]83.305[/C][C]67.4502280278177[/C][C]15.8547719721823[/C][/ROW]
[ROW][C]171[/C][C]98.952[/C][C]81.1495435780002[/C][C]17.8024564219998[/C][/ROW]
[ROW][C]172[/C][C]102.372[/C][C]101.591497793642[/C][C]0.780502206358355[/C][/ROW]
[ROW][C]173[/C][C]37.238[/C][C]36.7661571296438[/C][C]0.471842870356228[/C][/ROW]
[ROW][C]174[/C][C]103.772[/C][C]93.2364391808703[/C][C]10.5355608191297[/C][/ROW]
[ROW][C]175[/C][C]123.969[/C][C]72.7338326778305[/C][C]51.2351673221695[/C][/ROW]
[ROW][C]176[/C][C]27.142[/C][C]50.7934242802298[/C][C]-23.6514242802298[/C][/ROW]
[ROW][C]177[/C][C]135.4[/C][C]96.1152524057485[/C][C]39.2847475942515[/C][/ROW]
[ROW][C]178[/C][C]21.399[/C][C]31.2365834495868[/C][C]-9.83758344958677[/C][/ROW]
[ROW][C]179[/C][C]130.115[/C][C]112.957155897261[/C][C]17.1578441027392[/C][/ROW]
[ROW][C]180[/C][C]24.874[/C][C]51.3669135424015[/C][C]-26.4929135424015[/C][/ROW]
[ROW][C]181[/C][C]34.988[/C][C]36.4620094429467[/C][C]-1.47400944294669[/C][/ROW]
[ROW][C]182[/C][C]45.549[/C][C]30.5603807127419[/C][C]14.9886192872581[/C][/ROW]
[ROW][C]183[/C][C]6.023[/C][C]24.2088839655196[/C][C]-18.1858839655196[/C][/ROW]
[ROW][C]184[/C][C]64.466[/C][C]68.3106220495077[/C][C]-3.84462204950766[/C][/ROW]
[ROW][C]185[/C][C]54.99[/C][C]93.0522353871881[/C][C]-38.0622353871881[/C][/ROW]
[ROW][C]186[/C][C]1.644[/C][C]23.285565349056[/C][C]-21.641565349056[/C][/ROW]
[ROW][C]187[/C][C]6.179[/C][C]30.6895667197479[/C][C]-24.5105667197479[/C][/ROW]
[ROW][C]188[/C][C]3.926[/C][C]24.4472955914607[/C][C]-20.5212955914607[/C][/ROW]
[ROW][C]189[/C][C]32.755[/C][C]59.5879144336419[/C][C]-26.8329144336419[/C][/ROW]
[ROW][C]190[/C][C]34.777[/C][C]15.0517268608118[/C][C]19.7252731391882[/C][/ROW]
[ROW][C]191[/C][C]73.224[/C][C]46.1423028383581[/C][C]27.0816971616419[/C][/ROW]
[ROW][C]192[/C][C]27.114[/C][C]35.1613977349662[/C][C]-8.04739773496616[/C][/ROW]
[ROW][C]193[/C][C]20.76[/C][C]41.1972850414188[/C][C]-20.4372850414188[/C][/ROW]
[ROW][C]194[/C][C]37.636[/C][C]38.0299883563211[/C][C]-0.393988356321054[/C][/ROW]
[ROW][C]195[/C][C]65.461[/C][C]79.8888962665715[/C][C]-14.4278962665715[/C][/ROW]
[ROW][C]196[/C][C]30.08[/C][C]54.9107784984391[/C][C]-24.8307784984391[/C][/ROW]
[ROW][C]197[/C][C]24.094[/C][C]35.5522371052277[/C][C]-11.4582371052277[/C][/ROW]
[ROW][C]198[/C][C]69.008[/C][C]44.8999067849718[/C][C]24.1080932150282[/C][/ROW]
[ROW][C]199[/C][C]54.968[/C][C]45.5133000601523[/C][C]9.45469993984773[/C][/ROW]
[ROW][C]200[/C][C]46.09[/C][C]47.1093717507796[/C][C]-1.01937175077961[/C][/ROW]
[ROW][C]201[/C][C]27.507[/C][C]40.0322908830375[/C][C]-12.5252908830375[/C][/ROW]
[ROW][C]202[/C][C]10.672[/C][C]26.7566424216081[/C][C]-16.0846424216081[/C][/ROW]
[ROW][C]203[/C][C]34.029[/C][C]48.014063143551[/C][C]-13.985063143551[/C][/ROW]
[ROW][C]204[/C][C]46.3[/C][C]52.399807020298[/C][C]-6.09980702029799[/C][/ROW]
[ROW][C]205[/C][C]24.76[/C][C]39.590519160522[/C][C]-14.830519160522[/C][/ROW]
[ROW][C]206[/C][C]18.779[/C][C]18.8594925863231[/C][C]-0.0804925863230792[/C][/ROW]
[ROW][C]207[/C][C]21.28[/C][C]38.4424699527354[/C][C]-17.1624699527354[/C][/ROW]
[ROW][C]208[/C][C]40.662[/C][C]60.7552132321796[/C][C]-20.0932132321796[/C][/ROW]
[ROW][C]209[/C][C]28.987[/C][C]49.0785068991679[/C][C]-20.0915068991679[/C][/ROW]
[ROW][C]210[/C][C]22.827[/C][C]56.3907986263262[/C][C]-33.5637986263262[/C][/ROW]
[ROW][C]211[/C][C]18.513[/C][C]44.2646829872481[/C][C]-25.751682987248[/C][/ROW]
[ROW][C]212[/C][C]30.594[/C][C]43.9040798552326[/C][C]-13.3100798552326[/C][/ROW]
[ROW][C]213[/C][C]24.006[/C][C]30.9270481763884[/C][C]-6.92104817638837[/C][/ROW]
[ROW][C]214[/C][C]27.913[/C][C]44.4828306602802[/C][C]-16.5698306602802[/C][/ROW]
[ROW][C]215[/C][C]42.744[/C][C]23.9723348847028[/C][C]18.7716651152972[/C][/ROW]
[ROW][C]216[/C][C]12.934[/C][C]34.4044573968482[/C][C]-21.4704573968482[/C][/ROW]
[ROW][C]217[/C][C]22.574[/C][C]38.5702761343956[/C][C]-15.9962761343956[/C][/ROW]
[ROW][C]218[/C][C]41.385[/C][C]35.1079110265111[/C][C]6.27708897348886[/C][/ROW]
[ROW][C]219[/C][C]18.653[/C][C]35.5303279520705[/C][C]-16.8773279520705[/C][/ROW]
[ROW][C]220[/C][C]18.472[/C][C]36.8983959701232[/C][C]-18.4263959701232[/C][/ROW]
[ROW][C]221[/C][C]30.976[/C][C]42.8252246900449[/C][C]-11.8492246900449[/C][/ROW]
[ROW][C]222[/C][C]63.339[/C][C]69.0315525613881[/C][C]-5.69255256138811[/C][/ROW]
[ROW][C]223[/C][C]25.568[/C][C]48.8413960775226[/C][C]-23.2733960775226[/C][/ROW]
[ROW][C]224[/C][C]33.747[/C][C]41.4185447557638[/C][C]-7.67154475576379[/C][/ROW]
[ROW][C]225[/C][C]4.154[/C][C]18.7567432280841[/C][C]-14.6027432280841[/C][/ROW]
[ROW][C]226[/C][C]19.474[/C][C]46.5892511345247[/C][C]-27.1152511345247[/C][/ROW]
[ROW][C]227[/C][C]35.13[/C][C]29.6145624086063[/C][C]5.51543759139367[/C][/ROW]
[ROW][C]228[/C][C]39.067[/C][C]45.139060974096[/C][C]-6.07206097409597[/C][/ROW]
[ROW][C]229[/C][C]13.31[/C][C]35.8478966227358[/C][C]-22.5378966227358[/C][/ROW]
[ROW][C]230[/C][C]65.892[/C][C]42.4934621090383[/C][C]23.3985378909617[/C][/ROW]
[ROW][C]231[/C][C]4.143[/C][C]19.6007215267275[/C][C]-15.4577215267275[/C][/ROW]
[ROW][C]232[/C][C]28.579[/C][C]43.7225360923089[/C][C]-15.1435360923089[/C][/ROW]
[ROW][C]233[/C][C]51.776[/C][C]55.0213787812524[/C][C]-3.24537878125236[/C][/ROW]
[ROW][C]234[/C][C]21.152[/C][C]26.962567652693[/C][C]-5.81056765269301[/C][/ROW]
[ROW][C]235[/C][C]38.084[/C][C]29.4493335930523[/C][C]8.63466640694774[/C][/ROW]
[ROW][C]236[/C][C]27.717[/C][C]31.8548231940147[/C][C]-4.13782319401473[/C][/ROW]
[ROW][C]237[/C][C]32.928[/C][C]43.1091174901099[/C][C]-10.1811174901099[/C][/ROW]
[ROW][C]238[/C][C]11.342[/C][C]19.3524130696658[/C][C]-8.01041306966584[/C][/ROW]
[ROW][C]239[/C][C]19.499[/C][C]36.5840782366491[/C][C]-17.0850782366491[/C][/ROW]
[ROW][C]240[/C][C]16.38[/C][C]26.7039373398075[/C][C]-10.3239373398075[/C][/ROW]
[ROW][C]241[/C][C]36.874[/C][C]38.1147740771251[/C][C]-1.24077407712515[/C][/ROW]
[ROW][C]242[/C][C]48.259[/C][C]63.4021887470826[/C][C]-15.1431887470826[/C][/ROW]
[ROW][C]243[/C][C]16.734[/C][C]29.0379250146572[/C][C]-12.3039250146572[/C][/ROW]
[ROW][C]244[/C][C]28.207[/C][C]32.3772151395345[/C][C]-4.17021513953446[/C][/ROW]
[ROW][C]245[/C][C]30.143[/C][C]41.741092646976[/C][C]-11.598092646976[/C][/ROW]
[ROW][C]246[/C][C]41.369[/C][C]41.0197780920388[/C][C]0.349221907961196[/C][/ROW]
[ROW][C]247[/C][C]45.833[/C][C]49.1653012919969[/C][C]-3.33230129199693[/C][/ROW]
[ROW][C]248[/C][C]29.156[/C][C]38.6531950532733[/C][C]-9.49719505327333[/C][/ROW]
[ROW][C]249[/C][C]35.944[/C][C]33.1800872804622[/C][C]2.76391271953782[/C][/ROW]
[ROW][C]250[/C][C]36.278[/C][C]29.5109096590382[/C][C]6.76709034096178[/C][/ROW]
[ROW][C]251[/C][C]45.588[/C][C]56.0503370126379[/C][C]-10.4623370126379[/C][/ROW]
[ROW][C]252[/C][C]45.097[/C][C]47.3766267666067[/C][C]-2.27962676660667[/C][/ROW]
[ROW][C]253[/C][C]3.895[/C][C]25.9356359351026[/C][C]-22.0406359351026[/C][/ROW]
[ROW][C]254[/C][C]28.394[/C][C]38.044712488105[/C][C]-9.65071248810503[/C][/ROW]
[ROW][C]255[/C][C]18.632[/C][C]41.6043959318233[/C][C]-22.9723959318233[/C][/ROW]
[ROW][C]256[/C][C]2.325[/C][C]19.266402538733[/C][C]-16.941402538733[/C][/ROW]
[ROW][C]257[/C][C]25.139[/C][C]32.0199718102088[/C][C]-6.88097181020876[/C][/ROW]
[ROW][C]258[/C][C]27.975[/C][C]26.5492395418506[/C][C]1.4257604581494[/C][/ROW]
[ROW][C]259[/C][C]14.483[/C][C]27.7620003767892[/C][C]-13.2790003767892[/C][/ROW]
[ROW][C]260[/C][C]13.127[/C][C]26.8624814093912[/C][C]-13.7354814093912[/C][/ROW]
[ROW][C]261[/C][C]5.839[/C][C]9.97206119716361[/C][C]-4.13306119716361[/C][/ROW]
[ROW][C]262[/C][C]24.069[/C][C]45.4581593743299[/C][C]-21.3891593743299[/C][/ROW]
[ROW][C]263[/C][C]3.738[/C][C]21.1800939875724[/C][C]-17.4420939875724[/C][/ROW]
[ROW][C]264[/C][C]18.625[/C][C]29.8635994566344[/C][C]-11.2385994566344[/C][/ROW]
[ROW][C]265[/C][C]36.341[/C][C]36.3037116695238[/C][C]0.0372883304762189[/C][/ROW]
[ROW][C]266[/C][C]24.548[/C][C]37.4267744025658[/C][C]-12.8787744025658[/C][/ROW]
[ROW][C]267[/C][C]21.792[/C][C]38.2601363597325[/C][C]-16.4681363597325[/C][/ROW]
[ROW][C]268[/C][C]26.263[/C][C]32.3544054835447[/C][C]-6.09140548354474[/C][/ROW]
[ROW][C]269[/C][C]23.686[/C][C]48.5161702866232[/C][C]-24.8301702866232[/C][/ROW]
[ROW][C]270[/C][C]49.303[/C][C]38.3022475506099[/C][C]11.0007524493901[/C][/ROW]
[ROW][C]271[/C][C]25.659[/C][C]36.5681425548385[/C][C]-10.9091425548385[/C][/ROW]
[ROW][C]272[/C][C]28.904[/C][C]37.2984365180295[/C][C]-8.3944365180295[/C][/ROW]
[ROW][C]273[/C][C]2.781[/C][C]23.2456662504962[/C][C]-20.4646662504962[/C][/ROW]
[ROW][C]274[/C][C]29.236[/C][C]46.9035615843846[/C][C]-17.6675615843846[/C][/ROW]
[ROW][C]275[/C][C]19.546[/C][C]29.9099113852466[/C][C]-10.3639113852466[/C][/ROW]
[ROW][C]276[/C][C]22.818[/C][C]26.9506259534363[/C][C]-4.13262595343633[/C][/ROW]
[ROW][C]277[/C][C]32.689[/C][C]19.608922084032[/C][C]13.080077915968[/C][/ROW]
[ROW][C]278[/C][C]5.752[/C][C]24.6908239880991[/C][C]-18.9388239880991[/C][/ROW]
[ROW][C]279[/C][C]22.197[/C][C]49.5152493139816[/C][C]-27.3182493139816[/C][/ROW]
[ROW][C]280[/C][C]20.055[/C][C]39.4522268902505[/C][C]-19.3972268902505[/C][/ROW]
[ROW][C]281[/C][C]25.272[/C][C]34.9163077018658[/C][C]-9.64430770186582[/C][/ROW]
[ROW][C]282[/C][C]82.206[/C][C]29.9143520243943[/C][C]52.2916479756057[/C][/ROW]
[ROW][C]283[/C][C]32.073[/C][C]32.8707633500377[/C][C]-0.79776335003768[/C][/ROW]
[ROW][C]284[/C][C]5.444[/C][C]21.0672032923573[/C][C]-15.6232032923573[/C][/ROW]
[ROW][C]285[/C][C]20.154[/C][C]31.0747318346441[/C][C]-10.9207318346441[/C][/ROW]
[ROW][C]286[/C][C]36.944[/C][C]20.4120284890617[/C][C]16.5319715109383[/C][/ROW]
[ROW][C]287[/C][C]8.019[/C][C]25.7362146484164[/C][C]-17.7172146484165[/C][/ROW]
[ROW][C]288[/C][C]30.884[/C][C]46.179917332148[/C][C]-15.295917332148[/C][/ROW]
[ROW][C]289[/C][C]19.54[/C][C]31.7271757330496[/C][C]-12.1871757330496[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155721&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155721&T=4

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	112.285	103.905629682613	8.37937031738685
2	84.786	80.2299747208537	4.55602527914634
3	83.123	64.4906852082742	18.6323147917258
4	101.193	87.5987327543567	13.5942672456433
5	38.361	59.4988442339638	-21.1378442339638
6	68.504	39.6133457028782	28.8906542971218
7	119.182	128.240301892334	-9.05830189233418
8	22.807	12.563494448877	10.243505551123
9	17.14	36.2289469620839	-19.0889469620839
10	116.174	78.9178397071456	37.2561602928544
11	57.635	64.198868914039	-6.56386891403894
12	66.198	105.722364430809	-39.5243644308092
13	71.701	74.8286874008116	-3.12768740081162
14	57.793	62.4439361333035	-4.65093613330349
15	80.444	88.9031568356865	-8.45915683568645
16	53.855	61.6396211522337	-7.7846211522337
17	97.668	116.519401100801	-18.8514011008012
18	133.824	109.538020524316	24.2859794756843
19	101.481	73.8852492921867	27.5957507078133
20	99.645	80.4446337291158	19.2003662708842
21	114.789	98.888164476896	15.9008355231041
22	99.052	95.4819069892733	3.57009301072669
23	67.654	101.40764954141	-33.7536495414103
24	65.553	78.9249651526594	-13.3719651526594
25	97.5	84.9615883696783	12.5384116303218
26	69.112	84.9442185607254	-15.8322185607254
27	82.753	84.6036516340857	-1.85065163408565
28	85.323	92.9506007044133	-7.62760070441336
29	72.654	101.543624152774	-28.8896241527739
30	30.727	55.7391590726015	-25.0121590726015
31	77.873	115.126923468641	-37.2539234686413
32	117.478	109.935309232985	7.54269076701475
33	74.007	77.5733455950909	-3.56634559509092
34	90.183	118.967625835899	-28.7846258358994
35	61.542	43.2053352279319	18.3366647720681
36	101.494	127.15354496652	-25.65954496652
37	27.57	48.2836549153836	-20.7136549153836
38	55.813	66.5216250538681	-10.7086250538681
39	79.215	108.268802952653	-29.0538029526531
40	1.423	21.2064816855507	-19.7834816855507
41	55.461	63.824267529995	-8.36326752999498
42	31.081	48.3135328131855	-17.2325328131855
43	22.996	41.8917271203555	-18.8957271203555
44	83.122	105.314291858487	-22.1922918584867
45	70.106	88.1792438362487	-18.0732438362487
46	60.578	61.9493494982098	-1.37134949820977
47	39.992	59.0795337909954	-19.0875337909954
48	79.892	82.911084504188	-3.01908450418804
49	49.81	50.2330997271204	-0.423099727120405
50	71.57	62.975677766479	8.594322233521
51	100.708	70.8838887627116	29.8241112372884
52	33.032	46.4047865494115	-13.3727865494115
53	82.875	89.1664992901935	-6.29149929019355
54	139.077	117.417465467301	21.6595345326994
55	71.595	83.7174289439091	-12.1224289439091
56	72.26	90.7009111361544	-18.4409111361544
57	5.95	25.5633396115142	-19.6133396115142
58	115.762	118.28827422157	-2.52627422156978
59	32.551	35.8829580662018	-3.33195806620179
60	31.701	45.8500179324509	-14.1490179324509
61	80.67	85.7909617807747	-5.12096178077469
62	143.558	121.755887799173	21.8021122008271
63	117.105	110.942307770565	6.16269222943493
64	23.789	44.7295576304687	-20.9405576304687
65	120.733	129.243390864812	-8.51039086481152
66	105.195	130.018829108946	-24.8238291089457
67	73.107	64.6235915140295	8.48340848597048
68	132.068	122.418903627642	9.64909637235834
69	149.193	122.520602933843	26.6723970661573
70	46.821	48.377106033821	-1.55610603382097
71	87.011	84.2187038655932	2.79229613440684
72	95.26	94.5222093509067	0.73779064909327
73	55.183	80.2587158852852	-25.0757158852852
74	106.671	77.874860545791	28.7961394542091
75	73.511	87.3184048700953	-13.8074048700953
76	92.945	82.593806504538	10.3511934954619
77	78.664	68.498092422374	10.165907577626
78	70.054	78.6088253595366	-8.5548253595366
79	22.618	31.6030710358684	-8.98507103586837
80	74.011	85.3175432193679	-11.3065432193679
81	83.737	70.0347606927336	13.7022393072664
82	69.094	78.5717312787027	-9.4777312787027
83	93.133	84.527510874443	8.60548912555708
84	95.536	103.485713857805	-7.94971385780546
85	225.92	83.1770790881232	142.742920911877
86	62.133	71.8707017045759	-9.73770170457585
87	61.37	63.9677517335894	-2.59775173358939
88	43.836	55.9410935422472	-12.1050935422472
89	106.117	92.7482886600312	13.3687113399688
90	38.692	64.0964769834818	-25.4044769834818
91	84.651	93.6972902962346	-9.04629029623458
92	56.622	51.0586139208384	5.56338607916158
93	15.986	36.9014735170403	-20.9154735170403
94	95.364	76.4528375873488	18.9111624126512
95	26.706	52.8308734592799	-26.1248734592799
96	89.691	82.7873725306109	6.90362746938908
97	67.267	72.8768657480365	-5.60986574803648
98	126.846	84.447350827244	42.398649172756
99	41.14	59.4559417995379	-18.3159417995379
100	102.86	99.1006343575546	3.75936564244536
101	51.715	61.0958602384077	-9.38086023840772
102	55.801	78.1790929037914	-22.3780929037914
103	111.813	94.9858373388441	16.8271626611559
104	120.293	84.1476661575696	36.1453338424304
105	138.599	108.902638752542	29.6963612474578
106	161.647	122.736482765072	38.9105172349282
107	115.929	119.879345497374	-3.95034549737431
108	24.266	32.1862669638079	-7.92026696380793
109	162.901	140.54042402723	22.3605759727704
110	109.825	83.9575457244499	25.8674542755501
111	129.838	119.675544206035	10.1624557939645
112	37.51	38.6199453812497	-1.10994538124971
113	43.75	38.7902768175318	4.95972318246821
114	40.652	53.48820488479	-12.83620488479
115	87.771	85.5484153862582	2.22258461374185
116	85.872	80.7304581550357	5.14154184496428
117	89.275	92.6764749241952	-3.40147492419516
118	44.418	68.0382264454368	-23.6202264454369
119	192.565	84.5264808820846	108.038519117915
120	35.232	44.7747680800268	-9.5427680800268
121	40.909	55.8129516835726	-14.9039516835726
122	13.294	33.8242734041069	-20.5302734041069
123	32.387	55.7250636371963	-23.3380636371963
124	140.867	59.2752992656684	81.5917007343316
125	120.662	103.853867327566	16.8081326724345
126	21.233	39.7782942892128	-18.5452942892128
127	44.332	44.5570220816718	-0.225022081671769
128	61.056	61.8312165707644	-0.775216570764404
129	101.338	82.1181379020126	19.2198620979874
130	1.168	24.0501388369959	-22.8821388369959
131	13.497	19.085085021028	-5.58808502102802
132	65.567	67.6803275021495	-2.11332750214954
133	25.162	37.0754111762518	-11.9134111762518
134	32.334	43.7462422322249	-11.4122422322249
135	40.735	61.7708388204881	-21.0358388204881
136	91.413	130.857862202108	-39.4448622021077
137	855	22.7070956280543	832.292904371946
138	97.068	78.4030959473264	18.6649040526736
139	44.339	27.7830617084398	16.5559382915602
140	14.116	27.5537171507555	-13.4377171507555
141	10.288	24.6402733794376	-14.3522733794376
142	65.622	63.2240031126295	2.39799688737055
143	16.563	26.2531932807329	-9.69019328073292
144	76.643	102.891070537929	-26.2480705379291
145	110.681	73.1626442019032	37.5183557980967
146	29.011	32.5602360653223	-3.54923606532233
147	92.696	40.8430763035838	51.8529236964161
148	94.785	58.2245744773206	36.5604255226794
149	8.773	27.6027482330502	-18.8297482330502
150	83.209	66.8493395141858	16.3596604858142
151	93.815	106.833613885711	-13.0186138857112
152	86.687	94.1015639984769	-7.41456399847686
153	34.553	44.5999440607808	-10.0469440607808
154	105.547	122.131838698488	-16.5848386984879
155	103.487	118.3111981956	-14.8241981956003
156	213.688	152.89890421194	60.7890957880595
157	71.22	82.8861872247888	-11.6661872247888
158	23.517	42.9520335005096	-19.4350335005096
159	56.926	45.0588584228741	11.8671415771259
160	91.721	79.0340101577298	12.6869898422702
161	115.168	126.082918318391	-10.9149183183914
162	111.194	33.9935487691961	77.2004512308039
163	51.009	55.5226230019046	-4.51362300190459
164	135.777	103.777644871981	31.9993551280187
165	51.513	55.8722692236773	-4.35926922367726
166	74.163	98.074430910855	-23.911430910855
167	51.633	76.870073711166	-25.237073711166
168	75.345	33.1522052731474	42.1927947268526
169	33.416	54.8466561810669	-21.4306561810669
170	83.305	67.4502280278177	15.8547719721823
171	98.952	81.1495435780002	17.8024564219998
172	102.372	101.591497793642	0.780502206358355
173	37.238	36.7661571296438	0.471842870356228
174	103.772	93.2364391808703	10.5355608191297
175	123.969	72.7338326778305	51.2351673221695
176	27.142	50.7934242802298	-23.6514242802298
177	135.4	96.1152524057485	39.2847475942515
178	21.399	31.2365834495868	-9.83758344958677
179	130.115	112.957155897261	17.1578441027392
180	24.874	51.3669135424015	-26.4929135424015
181	34.988	36.4620094429467	-1.47400944294669
182	45.549	30.5603807127419	14.9886192872581
183	6.023	24.2088839655196	-18.1858839655196
184	64.466	68.3106220495077	-3.84462204950766
185	54.99	93.0522353871881	-38.0622353871881
186	1.644	23.285565349056	-21.641565349056
187	6.179	30.6895667197479	-24.5105667197479
188	3.926	24.4472955914607	-20.5212955914607
189	32.755	59.5879144336419	-26.8329144336419
190	34.777	15.0517268608118	19.7252731391882
191	73.224	46.1423028383581	27.0816971616419
192	27.114	35.1613977349662	-8.04739773496616
193	20.76	41.1972850414188	-20.4372850414188
194	37.636	38.0299883563211	-0.393988356321054
195	65.461	79.8888962665715	-14.4278962665715
196	30.08	54.9107784984391	-24.8307784984391
197	24.094	35.5522371052277	-11.4582371052277
198	69.008	44.8999067849718	24.1080932150282
199	54.968	45.5133000601523	9.45469993984773
200	46.09	47.1093717507796	-1.01937175077961
201	27.507	40.0322908830375	-12.5252908830375
202	10.672	26.7566424216081	-16.0846424216081
203	34.029	48.014063143551	-13.985063143551
204	46.3	52.399807020298	-6.09980702029799
205	24.76	39.590519160522	-14.830519160522
206	18.779	18.8594925863231	-0.0804925863230792
207	21.28	38.4424699527354	-17.1624699527354
208	40.662	60.7552132321796	-20.0932132321796
209	28.987	49.0785068991679	-20.0915068991679
210	22.827	56.3907986263262	-33.5637986263262
211	18.513	44.2646829872481	-25.751682987248
212	30.594	43.9040798552326	-13.3100798552326
213	24.006	30.9270481763884	-6.92104817638837
214	27.913	44.4828306602802	-16.5698306602802
215	42.744	23.9723348847028	18.7716651152972
216	12.934	34.4044573968482	-21.4704573968482
217	22.574	38.5702761343956	-15.9962761343956
218	41.385	35.1079110265111	6.27708897348886
219	18.653	35.5303279520705	-16.8773279520705
220	18.472	36.8983959701232	-18.4263959701232
221	30.976	42.8252246900449	-11.8492246900449
222	63.339	69.0315525613881	-5.69255256138811
223	25.568	48.8413960775226	-23.2733960775226
224	33.747	41.4185447557638	-7.67154475576379
225	4.154	18.7567432280841	-14.6027432280841
226	19.474	46.5892511345247	-27.1152511345247
227	35.13	29.6145624086063	5.51543759139367
228	39.067	45.139060974096	-6.07206097409597
229	13.31	35.8478966227358	-22.5378966227358
230	65.892	42.4934621090383	23.3985378909617
231	4.143	19.6007215267275	-15.4577215267275
232	28.579	43.7225360923089	-15.1435360923089
233	51.776	55.0213787812524	-3.24537878125236
234	21.152	26.962567652693	-5.81056765269301
235	38.084	29.4493335930523	8.63466640694774
236	27.717	31.8548231940147	-4.13782319401473
237	32.928	43.1091174901099	-10.1811174901099
238	11.342	19.3524130696658	-8.01041306966584
239	19.499	36.5840782366491	-17.0850782366491
240	16.38	26.7039373398075	-10.3239373398075
241	36.874	38.1147740771251	-1.24077407712515
242	48.259	63.4021887470826	-15.1431887470826
243	16.734	29.0379250146572	-12.3039250146572
244	28.207	32.3772151395345	-4.17021513953446
245	30.143	41.741092646976	-11.598092646976
246	41.369	41.0197780920388	0.349221907961196
247	45.833	49.1653012919969	-3.33230129199693
248	29.156	38.6531950532733	-9.49719505327333
249	35.944	33.1800872804622	2.76391271953782
250	36.278	29.5109096590382	6.76709034096178
251	45.588	56.0503370126379	-10.4623370126379
252	45.097	47.3766267666067	-2.27962676660667
253	3.895	25.9356359351026	-22.0406359351026
254	28.394	38.044712488105	-9.65071248810503
255	18.632	41.6043959318233	-22.9723959318233
256	2.325	19.266402538733	-16.941402538733
257	25.139	32.0199718102088	-6.88097181020876
258	27.975	26.5492395418506	1.4257604581494
259	14.483	27.7620003767892	-13.2790003767892
260	13.127	26.8624814093912	-13.7354814093912
261	5.839	9.97206119716361	-4.13306119716361
262	24.069	45.4581593743299	-21.3891593743299
263	3.738	21.1800939875724	-17.4420939875724
264	18.625	29.8635994566344	-11.2385994566344
265	36.341	36.3037116695238	0.0372883304762189
266	24.548	37.4267744025658	-12.8787744025658
267	21.792	38.2601363597325	-16.4681363597325
268	26.263	32.3544054835447	-6.09140548354474
269	23.686	48.5161702866232	-24.8301702866232
270	49.303	38.3022475506099	11.0007524493901
271	25.659	36.5681425548385	-10.9091425548385
272	28.904	37.2984365180295	-8.3944365180295
273	2.781	23.2456662504962	-20.4646662504962
274	29.236	46.9035615843846	-17.6675615843846
275	19.546	29.9099113852466	-10.3639113852466
276	22.818	26.9506259534363	-4.13262595343633
277	32.689	19.608922084032	13.080077915968
278	5.752	24.6908239880991	-18.9388239880991
279	22.197	49.5152493139816	-27.3182493139816
280	20.055	39.4522268902505	-19.3972268902505
281	25.272	34.9163077018658	-9.64430770186582
282	82.206	29.9143520243943	52.2916479756057
283	32.073	32.8707633500377	-0.79776335003768
284	5.444	21.0672032923573	-15.6232032923573
285	20.154	31.0747318346441	-10.9207318346441
286	36.944	20.4120284890617	16.5319715109383
287	8.019	25.7362146484164	-17.7172146484165
288	30.884	46.179917332148	-15.295917332148
289	19.54	31.7271757330496	-12.1871757330496

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
11	0.0318256896983707	0.0636513793967415	0.96817431030163
12	0.086216602793717	0.172433205587434	0.913783397206283
13	0.0357418572468006	0.0714837144936011	0.9642581427532
14	0.0185911658268322	0.0371823316536643	0.981408834173168
15	0.00703688287719574	0.0140737657543915	0.992963117122804
16	0.00282002091199311	0.00564004182398621	0.997179979088007
17	0.000961401275837974	0.00192280255167595	0.999038598724162
18	0.000433414089076914	0.000866828178153829	0.999566585910923
19	0.000502817226839639	0.00100563445367928	0.99949718277316
20	0.000176234229097561	0.000352468458195122	0.999823765770902
21	6.08390127608744e-05	0.000121678025521749	0.99993916098724
22	2.03204623748943e-05	4.06409247497887e-05	0.999979679537625
23	1.48736296083171e-05	2.97472592166343e-05	0.999985126370392
24	4.82773572071125e-06	9.6554714414225e-06	0.99999517226428
25	1.55143027001784e-06	3.10286054003568e-06	0.99999844856973
26	6.37241886681793e-07	1.27448377336359e-06	0.999999362758113
27	1.95109862561403e-07	3.90219725122806e-07	0.999999804890137
28	6.54507483183105e-08	1.30901496636621e-07	0.999999934549252
29	2.68782102949219e-08	5.37564205898437e-08	0.99999997312179
30	1.82763420907651e-08	3.65526841815302e-08	0.999999981723658
31	6.9598023355243e-09	1.39196046710486e-08	0.999999993040198
32	3.57034158395475e-09	7.1406831679095e-09	0.999999996429658
33	2.79623927891932e-09	5.59247855783865e-09	0.99999999720376
34	1.0310713912239e-09	2.0621427824478e-09	0.999999998968929
35	5.05013803662371e-10	1.01002760732474e-09	0.999999999494986
36	3.64605359090878e-10	7.29210718181755e-10	0.999999999635395
37	2.47601654781309e-10	4.95203309562617e-10	0.999999999752398
38	7.58390544910035e-11	1.51678108982007e-10	0.99999999992416
39	2.35561321089759e-11	4.71122642179517e-11	0.999999999976444
40	1.0186018975166e-11	2.0372037950332e-11	0.999999999989814
41	3.80322327391224e-12	7.60644654782449e-12	0.999999999996197
42	1.1457046796562e-12	2.29140935931241e-12	0.999999999998854
43	3.3722098521237e-13	6.7444197042474e-13	0.999999999999663
44	1.31067541919203e-13	2.62135083838405e-13	0.999999999999869
45	3.89123039768031e-14	7.78246079536063e-14	0.999999999999961
46	1.07688411175807e-14	2.15376822351613e-14	0.99999999999999
47	5.51591529711786e-15	1.10318305942357e-14	0.999999999999994
48	3.7587464314025e-15	7.517492862805e-15	0.999999999999996
49	1.03758435623145e-15	2.0751687124629e-15	1
50	2.26911009560329e-15	4.53822019120658e-15	0.999999999999998
51	6.12567890244451e-15	1.2251357804889e-14	0.999999999999994
52	2.00265951795095e-15	4.0053190359019e-15	0.999999999999998
53	6.9041891479868e-16	1.38083782959736e-15	1
54	6.33718134408127e-16	1.26743626881625e-15	1
55	2.32512877418852e-16	4.65025754837703e-16	1
56	7.50149395771628e-17	1.50029879154326e-16	1
57	2.31672435674489e-17	4.63344871348978e-17	1
58	6.64508134129495e-18	1.32901626825899e-17	1
59	1.91092452837541e-18	3.82184905675082e-18	1
60	5.40954824366919e-19	1.08190964873384e-18	1
61	1.50198670971546e-19	3.00397341943092e-19	1
62	1.51960941864698e-19	3.03921883729395e-19	1
63	9.52483900572814e-20	1.90496780114563e-19	1
64	2.94625722510889e-20	5.89251445021778e-20	1
65	1.43174588484822e-20	2.86349176969643e-20	1
66	6.31559236441254e-21	1.26311847288251e-20	1
67	2.48486768579387e-21	4.96973537158773e-21	1
68	1.34850372285398e-21	2.69700744570795e-21	1
69	1.74324785538363e-21	3.48649571076726e-21	1
70	5.72245469282019e-22	1.14449093856404e-21	1
71	1.61948676747213e-22	3.23897353494427e-22	1
72	4.55820841780702e-23	9.11641683561404e-23	1
73	2.06648531024377e-23	4.13297062048755e-23	1
74	1.75345624998626e-23	3.50691249997252e-23	1
75	6.24057959820837e-24	1.24811591964167e-23	1
76	1.86296013073301e-24	3.72592026146603e-24	1
77	1.05077987494661e-24	2.10155974989322e-24	1
78	3.14188291219846e-25	6.28376582439691e-25	1
79	9.42460703667331e-26	1.88492140733466e-25	1
80	2.68435645903745e-26	5.36871291807489e-26	1
81	7.88418289382788e-27	1.57683657876558e-26	1
82	2.76509849260182e-27	5.53019698520365e-27	1
83	9.30630602174751e-28	1.8612612043495e-27	1
84	2.46393763860835e-28	4.9278752772167e-28	1
85	4.42852741219907e-18	8.85705482439814e-18	1
86	1.69518667412974e-18	3.39037334825948e-18	1
87	6.33979078843819e-19	1.26795815768764e-18	1
88	2.45896251046839e-19	4.91792502093677e-19	1
89	9.45724747423887e-20	1.89144949484777e-19	1
90	4.57537524912229e-20	9.15075049824457e-20	1
91	1.70509660392349e-20	3.41019320784699e-20	1
92	7.88504762354138e-21	1.57700952470828e-20	1
93	3.67592064362669e-21	7.35184128725337e-21	1
94	2.15603126062588e-21	4.31206252125177e-21	1
95	1.04224478540527e-21	2.08448957081055e-21	1
96	4.13629691540321e-22	8.27259383080642e-22	1
97	1.83886239383329e-22	3.67772478766658e-22	1
98	2.33444104567578e-22	4.66888209135156e-22	1
99	1.29138573934145e-22	2.58277147868289e-22	1
100	4.50921084151249e-23	9.01842168302498e-23	1
101	1.60749685787251e-23	3.21499371574503e-23	1
102	8.03018819506231e-24	1.60603763901246e-23	1
103	3.87397251694624e-24	7.74794503389247e-24	1
104	5.06060373382775e-24	1.01212074676555e-23	1
105	4.03592307468274e-24	8.07184614936547e-24	1
106	3.8768652758579e-24	7.7537305517158e-24	1
107	1.37985738496598e-24	2.75971476993195e-24	1
108	4.97721847762074e-25	9.95443695524147e-25	1
109	2.05401755248515e-25	4.1080351049703e-25	1
110	1.22356406983393e-25	2.44712813966786e-25	1
111	4.25922574754788e-26	8.51845149509576e-26	1
112	1.4948543069431e-26	2.98970861388619e-26	1
113	5.37897056427969e-27	1.07579411285594e-26	1
114	2.03151984525234e-27	4.06303969050467e-27	1
115	7.34896775809956e-28	1.46979355161991e-27	1
116	2.48042899221565e-28	4.96085798443131e-28	1
117	8.13616667154875e-29	1.62723333430975e-28	1
118	3.43372556587429e-29	6.86745113174859e-29	1
119	7.78921238117189e-26	1.55784247623438e-25	1
120	2.87852955389717e-26	5.75705910779434e-26	1
121	1.07829781121179e-26	2.15659562242359e-26	1
122	4.04719303365467e-27	8.09438606730933e-27	1
123	1.64428064597089e-27	3.28856129194178e-27	1
124	1.01292350048228e-25	2.02584700096456e-25	1
125	4.39287722622877e-26	8.78575445245754e-26	1
126	1.8313295774063e-26	3.66265915481259e-26	1
127	7.05840520301421e-27	1.41168104060284e-26	1
128	2.57887520287772e-27	5.15775040575543e-27	1
129	1.02235752183496e-27	2.04471504366992e-27	1
130	3.95302274045851e-28	7.90604548091703e-28	1
131	1.37214229199492e-28	2.74428458398985e-28	1
132	4.81918645415835e-29	9.6383729083167e-29	1
133	1.71017821587582e-29	3.42035643175164e-29	1
134	5.95340224989815e-30	1.19068044997963e-29	1
135	3.00548002347886e-30	6.01096004695772e-30	1
136	5.66695357144419e-30	1.13339071428884e-29	1
137	1	4.37262843954578e-55	2.18631421977289e-55
138	1	4.24359533784677e-55	2.12179766892338e-55
139	1	1.09700132098905e-54	5.48500660494526e-55
140	1	4.15843893918054e-54	2.07921946959027e-54
141	1	1.61702710883237e-53	8.08513554416187e-54
142	1	5.25803671441708e-53	2.62901835720854e-53
143	1	1.93610535954074e-52	9.68052679770372e-53
144	1	4.39263151585973e-52	2.19631575792987e-52
145	1	1.06890557405477e-51	5.34452787027384e-52
146	1	3.47486010283991e-51	1.73743005141996e-51
147	1	3.70185043050796e-51	1.85092521525398e-51
148	1	1.77209227531377e-51	8.86046137656885e-52
149	1	6.23082627558549e-51	3.11541313779274e-51
150	1	2.57996621879015e-50	1.28998310939508e-50
151	1	4.11036632020282e-50	2.05518316010141e-50
152	1	7.48205416353614e-50	3.74102708176807e-50
153	1	3.00422761576699e-49	1.5021138078835e-49
154	1	6.98050180915694e-49	3.49025090457847e-49
155	1	2.29475822987172e-48	1.14737911493586e-48
156	1	1.31212571748008e-50	6.5606285874004e-51
157	1	5.06211096758001e-50	2.53105548379001e-50
158	1	1.77281611682424e-49	8.86408058412121e-50
159	1	7.29063960222349e-49	3.64531980111175e-49
160	1	2.84309644891817e-48	1.42154822445909e-48
161	1	1.16179566334548e-47	5.8089783167274e-48
162	1	1.13810841935702e-50	5.69054209678509e-51
163	1	4.82982888571042e-50	2.41491444285521e-50
164	1	3.90918832247063e-50	1.95459416123531e-50
165	1	1.52198115811293e-49	7.60990579056467e-50
166	1	2.2027744752682e-49	1.1013872376341e-49
167	1	9.32068988446106e-50	4.66034494223053e-50
168	1	9.05170645660944e-51	4.52585322830472e-51
169	1	2.1841289279392e-50	1.0920644639696e-50
170	1	7.89589798596266e-51	3.94794899298133e-51
171	1	1.73405103386464e-50	8.67025516932322e-51
172	1	8.30609915003708e-50	4.15304957501854e-50
173	1	4.14658567448783e-49	2.07329283724391e-49
174	1	2.02891762989475e-48	1.01445881494738e-48
175	1	3.32968474097192e-49	1.66484237048596e-49
176	1	1.31485305149979e-48	6.57426525749893e-49
177	1	2.59640470360157e-50	1.29820235180079e-50
178	1	1.29546702592248e-49	6.47733512961241e-50
179	1	5.27608543847903e-50	2.63804271923951e-50
180	1	1.90435299035651e-49	9.52176495178256e-50
181	1	4.93865236791502e-49	2.46932618395751e-49
182	1	7.0821861874128e-50	3.5410930937064e-50
183	1	3.47249238391266e-49	1.73624619195633e-49
184	1	1.83480444608418e-48	9.17402223042089e-49
185	1	4.44066823135977e-49	2.22033411567989e-49
186	1	2.21220993930077e-48	1.10610496965038e-48
187	1	7.60140794955481e-48	3.80070397477741e-48
188	1	3.79933318566233e-47	1.89966659283117e-47
189	1	1.21132133908141e-46	6.05660669540707e-47
190	1	6.3639071950007e-46	3.18195359750035e-46
191	1	2.98562310582348e-46	1.49281155291174e-46
192	1	1.6220701488109e-45	8.1103507440545e-46
193	1	8.33842834059417e-45	4.16921417029709e-45
194	1	4.60673078831937e-44	2.30336539415968e-44
195	1	2.41145282798417e-43	1.20572641399209e-43
196	1	9.66765444923286e-43	4.83382722461643e-43
197	1	4.66605448329522e-42	2.33302724164761e-42
198	1	1.18755479490593e-42	5.93777397452967e-43
199	1	1.64716976400817e-42	8.23584882004084e-43
200	1	6.68755590801121e-42	3.3437779540056e-42
201	1	3.22613449253159e-41	1.6130672462658e-41
202	1	1.03753747090481e-41	5.18768735452403e-42
203	1	4.7130339214146e-41	2.3565169607073e-41
204	1	1.70865120079183e-40	8.54325600395915e-41
205	1	9.32447365257818e-40	4.66223682628909e-40
206	1	4.97568166211014e-39	2.48784083105507e-39
207	1	2.66084694580985e-38	1.33042347290493e-38
208	1	1.35785434627256e-37	6.7892717313628e-38
209	1	5.09904265672301e-37	2.5495213283615e-37
210	1	1.20755789874527e-36	6.03778949372634e-37
211	1	4.9164191645002e-36	2.4582095822501e-36
212	1	2.61298657231369e-35	1.30649328615685e-35
213	1	1.34987287339853e-34	6.74936436699267e-35
214	1	6.88023713949894e-34	3.44011856974947e-34
215	1	6.17071971438768e-34	3.08535985719384e-34
216	1	1.60491091150835e-33	8.02455455754177e-34
217	1	8.46191837268505e-33	4.23095918634252e-33
218	1	2.56788546137138e-32	1.28394273068569e-32
219	1	9.08243339412197e-32	4.54121669706099e-32
220	1	3.02907151974716e-31	1.51453575987358e-31
221	1	1.20274728451193e-30	6.01373642255966e-31
222	1	5.94995139076705e-30	2.97497569538352e-30
223	1	2.35619385234042e-29	1.17809692617021e-29
224	1	1.21275927917526e-28	6.06379639587631e-29
225	1	5.09725186864617e-28	2.54862593432309e-28
226	1	1.69034620205059e-27	8.45173101025294e-28
227	1	4.75197687462226e-27	2.37598843731113e-27
228	1	2.28600601977835e-26	1.14300300988918e-26
229	1	1.55096794635699e-26	7.75483973178497e-27
230	1	1.04914529460096e-27	5.24572647300481e-28
231	1	4.18404826841364e-27	2.09202413420682e-27
232	1	2.30223018850732e-26	1.15111509425366e-26
233	1	6.38709586028177e-26	3.19354793014089e-26
234	1	2.55778820007399e-25	1.278894100037e-25
235	1	1.39888443577413e-24	6.99442217887067e-25
236	1	7.45419099452953e-24	3.72709549726477e-24
237	1	3.43512382500835e-23	1.71756191250418e-23
238	1	1.28016060041596e-22	6.4008030020798e-23
239	1	4.96923303464221e-22	2.4846165173211e-22
240	1	2.30913127068851e-21	1.15456563534425e-21
241	1	8.896176117025e-21	4.4480880585125e-21
242	1	4.53099027455568e-20	2.26549513727784e-20
243	1	2.14708245622941e-19	1.07354122811471e-19
244	1	9.03798737808302e-19	4.51899368904151e-19
245	1	3.63404927200504e-18	1.81702463600252e-18
246	1	9.22016437609395e-18	4.61008218804698e-18
247	1	1.54004018928437e-17	7.70020094642187e-18
248	1	7.35881801774273e-17	3.67940900887137e-17
249	1	1.96053768175162e-16	9.8026884087581e-17
250	1	2.33344942942534e-16	1.16672471471267e-16
251	1	9.89421712490253e-16	4.94710856245126e-16
252	0.999999999999998	4.11428021324367e-15	2.05714010662183e-15
253	0.99999999999999	1.97329263076774e-14	9.86646315383869e-15
254	0.999999999999962	7.64156532908994e-14	3.82078266454497e-14
255	0.999999999999893	2.14263084631771e-13	1.07131542315886e-13
256	0.999999999999505	9.89889275481474e-13	4.94944637740737e-13
257	0.99999999999777	4.4582809311103e-12	2.22914046555515e-12
258	0.999999999991702	1.65957347294706e-11	8.2978673647353e-12
259	0.999999999976215	4.75706958488461e-11	2.3785347924423e-11
260	0.999999999895338	2.09323441014394e-10	1.04661720507197e-10
261	0.999999999724539	5.50922877852275e-10	2.75461438926137e-10
262	0.999999998767479	2.46504235279959e-09	1.23252117639979e-09
263	0.999999998587224	2.82555241709666e-09	1.41277620854833e-09
264	0.999999994221446	1.15571072786232e-08	5.7785536393116e-09
265	0.999999979931927	4.01361457865786e-08	2.00680728932893e-08
266	0.999999919701964	1.60596072026593e-07	8.02980360132966e-08
267	0.999999656460526	6.8707894804235e-07	3.43539474021175e-07
268	0.999998649666173	2.70066765471513e-06	1.35033382735756e-06
269	0.999994917611698	1.01647766046977e-05	5.08238830234883e-06
270	0.99999270226426	1.45954714824291e-05	7.29773574121457e-06
271	0.999970221044758	5.9557910484838e-05	2.9778955242419e-05
272	0.999904989723487	0.000190020553025902	9.50102765129509e-05
273	0.999690516953937	0.000618966092126767	0.000309483046063383
274	0.999095837157794	0.00180832568441148	0.000904162842205741
275	0.99693671848323	0.00612656303354077	0.00306328151677038
276	0.989627137811846	0.020745724376309	0.0103728621881545
277	0.991539967584188	0.0169200648316234	0.00846003241581169
278	0.969018856613184	0.0619622867736318	0.0309811433868159

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
11 & 0.0318256896983707 & 0.0636513793967415 & 0.96817431030163 \tabularnewline
12 & 0.086216602793717 & 0.172433205587434 & 0.913783397206283 \tabularnewline
13 & 0.0357418572468006 & 0.0714837144936011 & 0.9642581427532 \tabularnewline
14 & 0.0185911658268322 & 0.0371823316536643 & 0.981408834173168 \tabularnewline
15 & 0.00703688287719574 & 0.0140737657543915 & 0.992963117122804 \tabularnewline
16 & 0.00282002091199311 & 0.00564004182398621 & 0.997179979088007 \tabularnewline
17 & 0.000961401275837974 & 0.00192280255167595 & 0.999038598724162 \tabularnewline
18 & 0.000433414089076914 & 0.000866828178153829 & 0.999566585910923 \tabularnewline
19 & 0.000502817226839639 & 0.00100563445367928 & 0.99949718277316 \tabularnewline
20 & 0.000176234229097561 & 0.000352468458195122 & 0.999823765770902 \tabularnewline
21 & 6.08390127608744e-05 & 0.000121678025521749 & 0.99993916098724 \tabularnewline
22 & 2.03204623748943e-05 & 4.06409247497887e-05 & 0.999979679537625 \tabularnewline
23 & 1.48736296083171e-05 & 2.97472592166343e-05 & 0.999985126370392 \tabularnewline
24 & 4.82773572071125e-06 & 9.6554714414225e-06 & 0.99999517226428 \tabularnewline
25 & 1.55143027001784e-06 & 3.10286054003568e-06 & 0.99999844856973 \tabularnewline
26 & 6.37241886681793e-07 & 1.27448377336359e-06 & 0.999999362758113 \tabularnewline
27 & 1.95109862561403e-07 & 3.90219725122806e-07 & 0.999999804890137 \tabularnewline
28 & 6.54507483183105e-08 & 1.30901496636621e-07 & 0.999999934549252 \tabularnewline
29 & 2.68782102949219e-08 & 5.37564205898437e-08 & 0.99999997312179 \tabularnewline
30 & 1.82763420907651e-08 & 3.65526841815302e-08 & 0.999999981723658 \tabularnewline
31 & 6.9598023355243e-09 & 1.39196046710486e-08 & 0.999999993040198 \tabularnewline
32 & 3.57034158395475e-09 & 7.1406831679095e-09 & 0.999999996429658 \tabularnewline
33 & 2.79623927891932e-09 & 5.59247855783865e-09 & 0.99999999720376 \tabularnewline
34 & 1.0310713912239e-09 & 2.0621427824478e-09 & 0.999999998968929 \tabularnewline
35 & 5.05013803662371e-10 & 1.01002760732474e-09 & 0.999999999494986 \tabularnewline
36 & 3.64605359090878e-10 & 7.29210718181755e-10 & 0.999999999635395 \tabularnewline
37 & 2.47601654781309e-10 & 4.95203309562617e-10 & 0.999999999752398 \tabularnewline
38 & 7.58390544910035e-11 & 1.51678108982007e-10 & 0.99999999992416 \tabularnewline
39 & 2.35561321089759e-11 & 4.71122642179517e-11 & 0.999999999976444 \tabularnewline
40 & 1.0186018975166e-11 & 2.0372037950332e-11 & 0.999999999989814 \tabularnewline
41 & 3.80322327391224e-12 & 7.60644654782449e-12 & 0.999999999996197 \tabularnewline
42 & 1.1457046796562e-12 & 2.29140935931241e-12 & 0.999999999998854 \tabularnewline
43 & 3.3722098521237e-13 & 6.7444197042474e-13 & 0.999999999999663 \tabularnewline
44 & 1.31067541919203e-13 & 2.62135083838405e-13 & 0.999999999999869 \tabularnewline
45 & 3.89123039768031e-14 & 7.78246079536063e-14 & 0.999999999999961 \tabularnewline
46 & 1.07688411175807e-14 & 2.15376822351613e-14 & 0.99999999999999 \tabularnewline
47 & 5.51591529711786e-15 & 1.10318305942357e-14 & 0.999999999999994 \tabularnewline
48 & 3.7587464314025e-15 & 7.517492862805e-15 & 0.999999999999996 \tabularnewline
49 & 1.03758435623145e-15 & 2.0751687124629e-15 & 1 \tabularnewline
50 & 2.26911009560329e-15 & 4.53822019120658e-15 & 0.999999999999998 \tabularnewline
51 & 6.12567890244451e-15 & 1.2251357804889e-14 & 0.999999999999994 \tabularnewline
52 & 2.00265951795095e-15 & 4.0053190359019e-15 & 0.999999999999998 \tabularnewline
53 & 6.9041891479868e-16 & 1.38083782959736e-15 & 1 \tabularnewline
54 & 6.33718134408127e-16 & 1.26743626881625e-15 & 1 \tabularnewline
55 & 2.32512877418852e-16 & 4.65025754837703e-16 & 1 \tabularnewline
56 & 7.50149395771628e-17 & 1.50029879154326e-16 & 1 \tabularnewline
57 & 2.31672435674489e-17 & 4.63344871348978e-17 & 1 \tabularnewline
58 & 6.64508134129495e-18 & 1.32901626825899e-17 & 1 \tabularnewline
59 & 1.91092452837541e-18 & 3.82184905675082e-18 & 1 \tabularnewline
60 & 5.40954824366919e-19 & 1.08190964873384e-18 & 1 \tabularnewline
61 & 1.50198670971546e-19 & 3.00397341943092e-19 & 1 \tabularnewline
62 & 1.51960941864698e-19 & 3.03921883729395e-19 & 1 \tabularnewline
63 & 9.52483900572814e-20 & 1.90496780114563e-19 & 1 \tabularnewline
64 & 2.94625722510889e-20 & 5.89251445021778e-20 & 1 \tabularnewline
65 & 1.43174588484822e-20 & 2.86349176969643e-20 & 1 \tabularnewline
66 & 6.31559236441254e-21 & 1.26311847288251e-20 & 1 \tabularnewline
67 & 2.48486768579387e-21 & 4.96973537158773e-21 & 1 \tabularnewline
68 & 1.34850372285398e-21 & 2.69700744570795e-21 & 1 \tabularnewline
69 & 1.74324785538363e-21 & 3.48649571076726e-21 & 1 \tabularnewline
70 & 5.72245469282019e-22 & 1.14449093856404e-21 & 1 \tabularnewline
71 & 1.61948676747213e-22 & 3.23897353494427e-22 & 1 \tabularnewline
72 & 4.55820841780702e-23 & 9.11641683561404e-23 & 1 \tabularnewline
73 & 2.06648531024377e-23 & 4.13297062048755e-23 & 1 \tabularnewline
74 & 1.75345624998626e-23 & 3.50691249997252e-23 & 1 \tabularnewline
75 & 6.24057959820837e-24 & 1.24811591964167e-23 & 1 \tabularnewline
76 & 1.86296013073301e-24 & 3.72592026146603e-24 & 1 \tabularnewline
77 & 1.05077987494661e-24 & 2.10155974989322e-24 & 1 \tabularnewline
78 & 3.14188291219846e-25 & 6.28376582439691e-25 & 1 \tabularnewline
79 & 9.42460703667331e-26 & 1.88492140733466e-25 & 1 \tabularnewline
80 & 2.68435645903745e-26 & 5.36871291807489e-26 & 1 \tabularnewline
81 & 7.88418289382788e-27 & 1.57683657876558e-26 & 1 \tabularnewline
82 & 2.76509849260182e-27 & 5.53019698520365e-27 & 1 \tabularnewline
83 & 9.30630602174751e-28 & 1.8612612043495e-27 & 1 \tabularnewline
84 & 2.46393763860835e-28 & 4.9278752772167e-28 & 1 \tabularnewline
85 & 4.42852741219907e-18 & 8.85705482439814e-18 & 1 \tabularnewline
86 & 1.69518667412974e-18 & 3.39037334825948e-18 & 1 \tabularnewline
87 & 6.33979078843819e-19 & 1.26795815768764e-18 & 1 \tabularnewline
88 & 2.45896251046839e-19 & 4.91792502093677e-19 & 1 \tabularnewline
89 & 9.45724747423887e-20 & 1.89144949484777e-19 & 1 \tabularnewline
90 & 4.57537524912229e-20 & 9.15075049824457e-20 & 1 \tabularnewline
91 & 1.70509660392349e-20 & 3.41019320784699e-20 & 1 \tabularnewline
92 & 7.88504762354138e-21 & 1.57700952470828e-20 & 1 \tabularnewline
93 & 3.67592064362669e-21 & 7.35184128725337e-21 & 1 \tabularnewline
94 & 2.15603126062588e-21 & 4.31206252125177e-21 & 1 \tabularnewline
95 & 1.04224478540527e-21 & 2.08448957081055e-21 & 1 \tabularnewline
96 & 4.13629691540321e-22 & 8.27259383080642e-22 & 1 \tabularnewline
97 & 1.83886239383329e-22 & 3.67772478766658e-22 & 1 \tabularnewline
98 & 2.33444104567578e-22 & 4.66888209135156e-22 & 1 \tabularnewline
99 & 1.29138573934145e-22 & 2.58277147868289e-22 & 1 \tabularnewline
100 & 4.50921084151249e-23 & 9.01842168302498e-23 & 1 \tabularnewline
101 & 1.60749685787251e-23 & 3.21499371574503e-23 & 1 \tabularnewline
102 & 8.03018819506231e-24 & 1.60603763901246e-23 & 1 \tabularnewline
103 & 3.87397251694624e-24 & 7.74794503389247e-24 & 1 \tabularnewline
104 & 5.06060373382775e-24 & 1.01212074676555e-23 & 1 \tabularnewline
105 & 4.03592307468274e-24 & 8.07184614936547e-24 & 1 \tabularnewline
106 & 3.8768652758579e-24 & 7.7537305517158e-24 & 1 \tabularnewline
107 & 1.37985738496598e-24 & 2.75971476993195e-24 & 1 \tabularnewline
108 & 4.97721847762074e-25 & 9.95443695524147e-25 & 1 \tabularnewline
109 & 2.05401755248515e-25 & 4.1080351049703e-25 & 1 \tabularnewline
110 & 1.22356406983393e-25 & 2.44712813966786e-25 & 1 \tabularnewline
111 & 4.25922574754788e-26 & 8.51845149509576e-26 & 1 \tabularnewline
112 & 1.4948543069431e-26 & 2.98970861388619e-26 & 1 \tabularnewline
113 & 5.37897056427969e-27 & 1.07579411285594e-26 & 1 \tabularnewline
114 & 2.03151984525234e-27 & 4.06303969050467e-27 & 1 \tabularnewline
115 & 7.34896775809956e-28 & 1.46979355161991e-27 & 1 \tabularnewline
116 & 2.48042899221565e-28 & 4.96085798443131e-28 & 1 \tabularnewline
117 & 8.13616667154875e-29 & 1.62723333430975e-28 & 1 \tabularnewline
118 & 3.43372556587429e-29 & 6.86745113174859e-29 & 1 \tabularnewline
119 & 7.78921238117189e-26 & 1.55784247623438e-25 & 1 \tabularnewline
120 & 2.87852955389717e-26 & 5.75705910779434e-26 & 1 \tabularnewline
121 & 1.07829781121179e-26 & 2.15659562242359e-26 & 1 \tabularnewline
122 & 4.04719303365467e-27 & 8.09438606730933e-27 & 1 \tabularnewline
123 & 1.64428064597089e-27 & 3.28856129194178e-27 & 1 \tabularnewline
124 & 1.01292350048228e-25 & 2.02584700096456e-25 & 1 \tabularnewline
125 & 4.39287722622877e-26 & 8.78575445245754e-26 & 1 \tabularnewline
126 & 1.8313295774063e-26 & 3.66265915481259e-26 & 1 \tabularnewline
127 & 7.05840520301421e-27 & 1.41168104060284e-26 & 1 \tabularnewline
128 & 2.57887520287772e-27 & 5.15775040575543e-27 & 1 \tabularnewline
129 & 1.02235752183496e-27 & 2.04471504366992e-27 & 1 \tabularnewline
130 & 3.95302274045851e-28 & 7.90604548091703e-28 & 1 \tabularnewline
131 & 1.37214229199492e-28 & 2.74428458398985e-28 & 1 \tabularnewline
132 & 4.81918645415835e-29 & 9.6383729083167e-29 & 1 \tabularnewline
133 & 1.71017821587582e-29 & 3.42035643175164e-29 & 1 \tabularnewline
134 & 5.95340224989815e-30 & 1.19068044997963e-29 & 1 \tabularnewline
135 & 3.00548002347886e-30 & 6.01096004695772e-30 & 1 \tabularnewline
136 & 5.66695357144419e-30 & 1.13339071428884e-29 & 1 \tabularnewline
137 & 1 & 4.37262843954578e-55 & 2.18631421977289e-55 \tabularnewline
138 & 1 & 4.24359533784677e-55 & 2.12179766892338e-55 \tabularnewline
139 & 1 & 1.09700132098905e-54 & 5.48500660494526e-55 \tabularnewline
140 & 1 & 4.15843893918054e-54 & 2.07921946959027e-54 \tabularnewline
141 & 1 & 1.61702710883237e-53 & 8.08513554416187e-54 \tabularnewline
142 & 1 & 5.25803671441708e-53 & 2.62901835720854e-53 \tabularnewline
143 & 1 & 1.93610535954074e-52 & 9.68052679770372e-53 \tabularnewline
144 & 1 & 4.39263151585973e-52 & 2.19631575792987e-52 \tabularnewline
145 & 1 & 1.06890557405477e-51 & 5.34452787027384e-52 \tabularnewline
146 & 1 & 3.47486010283991e-51 & 1.73743005141996e-51 \tabularnewline
147 & 1 & 3.70185043050796e-51 & 1.85092521525398e-51 \tabularnewline
148 & 1 & 1.77209227531377e-51 & 8.86046137656885e-52 \tabularnewline
149 & 1 & 6.23082627558549e-51 & 3.11541313779274e-51 \tabularnewline
150 & 1 & 2.57996621879015e-50 & 1.28998310939508e-50 \tabularnewline
151 & 1 & 4.11036632020282e-50 & 2.05518316010141e-50 \tabularnewline
152 & 1 & 7.48205416353614e-50 & 3.74102708176807e-50 \tabularnewline
153 & 1 & 3.00422761576699e-49 & 1.5021138078835e-49 \tabularnewline
154 & 1 & 6.98050180915694e-49 & 3.49025090457847e-49 \tabularnewline
155 & 1 & 2.29475822987172e-48 & 1.14737911493586e-48 \tabularnewline
156 & 1 & 1.31212571748008e-50 & 6.5606285874004e-51 \tabularnewline
157 & 1 & 5.06211096758001e-50 & 2.53105548379001e-50 \tabularnewline
158 & 1 & 1.77281611682424e-49 & 8.86408058412121e-50 \tabularnewline
159 & 1 & 7.29063960222349e-49 & 3.64531980111175e-49 \tabularnewline
160 & 1 & 2.84309644891817e-48 & 1.42154822445909e-48 \tabularnewline
161 & 1 & 1.16179566334548e-47 & 5.8089783167274e-48 \tabularnewline
162 & 1 & 1.13810841935702e-50 & 5.69054209678509e-51 \tabularnewline
163 & 1 & 4.82982888571042e-50 & 2.41491444285521e-50 \tabularnewline
164 & 1 & 3.90918832247063e-50 & 1.95459416123531e-50 \tabularnewline
165 & 1 & 1.52198115811293e-49 & 7.60990579056467e-50 \tabularnewline
166 & 1 & 2.2027744752682e-49 & 1.1013872376341e-49 \tabularnewline
167 & 1 & 9.32068988446106e-50 & 4.66034494223053e-50 \tabularnewline
168 & 1 & 9.05170645660944e-51 & 4.52585322830472e-51 \tabularnewline
169 & 1 & 2.1841289279392e-50 & 1.0920644639696e-50 \tabularnewline
170 & 1 & 7.89589798596266e-51 & 3.94794899298133e-51 \tabularnewline
171 & 1 & 1.73405103386464e-50 & 8.67025516932322e-51 \tabularnewline
172 & 1 & 8.30609915003708e-50 & 4.15304957501854e-50 \tabularnewline
173 & 1 & 4.14658567448783e-49 & 2.07329283724391e-49 \tabularnewline
174 & 1 & 2.02891762989475e-48 & 1.01445881494738e-48 \tabularnewline
175 & 1 & 3.32968474097192e-49 & 1.66484237048596e-49 \tabularnewline
176 & 1 & 1.31485305149979e-48 & 6.57426525749893e-49 \tabularnewline
177 & 1 & 2.59640470360157e-50 & 1.29820235180079e-50 \tabularnewline
178 & 1 & 1.29546702592248e-49 & 6.47733512961241e-50 \tabularnewline
179 & 1 & 5.27608543847903e-50 & 2.63804271923951e-50 \tabularnewline
180 & 1 & 1.90435299035651e-49 & 9.52176495178256e-50 \tabularnewline
181 & 1 & 4.93865236791502e-49 & 2.46932618395751e-49 \tabularnewline
182 & 1 & 7.0821861874128e-50 & 3.5410930937064e-50 \tabularnewline
183 & 1 & 3.47249238391266e-49 & 1.73624619195633e-49 \tabularnewline
184 & 1 & 1.83480444608418e-48 & 9.17402223042089e-49 \tabularnewline
185 & 1 & 4.44066823135977e-49 & 2.22033411567989e-49 \tabularnewline
186 & 1 & 2.21220993930077e-48 & 1.10610496965038e-48 \tabularnewline
187 & 1 & 7.60140794955481e-48 & 3.80070397477741e-48 \tabularnewline
188 & 1 & 3.79933318566233e-47 & 1.89966659283117e-47 \tabularnewline
189 & 1 & 1.21132133908141e-46 & 6.05660669540707e-47 \tabularnewline
190 & 1 & 6.3639071950007e-46 & 3.18195359750035e-46 \tabularnewline
191 & 1 & 2.98562310582348e-46 & 1.49281155291174e-46 \tabularnewline
192 & 1 & 1.6220701488109e-45 & 8.1103507440545e-46 \tabularnewline
193 & 1 & 8.33842834059417e-45 & 4.16921417029709e-45 \tabularnewline
194 & 1 & 4.60673078831937e-44 & 2.30336539415968e-44 \tabularnewline
195 & 1 & 2.41145282798417e-43 & 1.20572641399209e-43 \tabularnewline
196 & 1 & 9.66765444923286e-43 & 4.83382722461643e-43 \tabularnewline
197 & 1 & 4.66605448329522e-42 & 2.33302724164761e-42 \tabularnewline
198 & 1 & 1.18755479490593e-42 & 5.93777397452967e-43 \tabularnewline
199 & 1 & 1.64716976400817e-42 & 8.23584882004084e-43 \tabularnewline
200 & 1 & 6.68755590801121e-42 & 3.3437779540056e-42 \tabularnewline
201 & 1 & 3.22613449253159e-41 & 1.6130672462658e-41 \tabularnewline
202 & 1 & 1.03753747090481e-41 & 5.18768735452403e-42 \tabularnewline
203 & 1 & 4.7130339214146e-41 & 2.3565169607073e-41 \tabularnewline
204 & 1 & 1.70865120079183e-40 & 8.54325600395915e-41 \tabularnewline
205 & 1 & 9.32447365257818e-40 & 4.66223682628909e-40 \tabularnewline
206 & 1 & 4.97568166211014e-39 & 2.48784083105507e-39 \tabularnewline
207 & 1 & 2.66084694580985e-38 & 1.33042347290493e-38 \tabularnewline
208 & 1 & 1.35785434627256e-37 & 6.7892717313628e-38 \tabularnewline
209 & 1 & 5.09904265672301e-37 & 2.5495213283615e-37 \tabularnewline
210 & 1 & 1.20755789874527e-36 & 6.03778949372634e-37 \tabularnewline
211 & 1 & 4.9164191645002e-36 & 2.4582095822501e-36 \tabularnewline
212 & 1 & 2.61298657231369e-35 & 1.30649328615685e-35 \tabularnewline
213 & 1 & 1.34987287339853e-34 & 6.74936436699267e-35 \tabularnewline
214 & 1 & 6.88023713949894e-34 & 3.44011856974947e-34 \tabularnewline
215 & 1 & 6.17071971438768e-34 & 3.08535985719384e-34 \tabularnewline
216 & 1 & 1.60491091150835e-33 & 8.02455455754177e-34 \tabularnewline
217 & 1 & 8.46191837268505e-33 & 4.23095918634252e-33 \tabularnewline
218 & 1 & 2.56788546137138e-32 & 1.28394273068569e-32 \tabularnewline
219 & 1 & 9.08243339412197e-32 & 4.54121669706099e-32 \tabularnewline
220 & 1 & 3.02907151974716e-31 & 1.51453575987358e-31 \tabularnewline
221 & 1 & 1.20274728451193e-30 & 6.01373642255966e-31 \tabularnewline
222 & 1 & 5.94995139076705e-30 & 2.97497569538352e-30 \tabularnewline
223 & 1 & 2.35619385234042e-29 & 1.17809692617021e-29 \tabularnewline
224 & 1 & 1.21275927917526e-28 & 6.06379639587631e-29 \tabularnewline
225 & 1 & 5.09725186864617e-28 & 2.54862593432309e-28 \tabularnewline
226 & 1 & 1.69034620205059e-27 & 8.45173101025294e-28 \tabularnewline
227 & 1 & 4.75197687462226e-27 & 2.37598843731113e-27 \tabularnewline
228 & 1 & 2.28600601977835e-26 & 1.14300300988918e-26 \tabularnewline
229 & 1 & 1.55096794635699e-26 & 7.75483973178497e-27 \tabularnewline
230 & 1 & 1.04914529460096e-27 & 5.24572647300481e-28 \tabularnewline
231 & 1 & 4.18404826841364e-27 & 2.09202413420682e-27 \tabularnewline
232 & 1 & 2.30223018850732e-26 & 1.15111509425366e-26 \tabularnewline
233 & 1 & 6.38709586028177e-26 & 3.19354793014089e-26 \tabularnewline
234 & 1 & 2.55778820007399e-25 & 1.278894100037e-25 \tabularnewline
235 & 1 & 1.39888443577413e-24 & 6.99442217887067e-25 \tabularnewline
236 & 1 & 7.45419099452953e-24 & 3.72709549726477e-24 \tabularnewline
237 & 1 & 3.43512382500835e-23 & 1.71756191250418e-23 \tabularnewline
238 & 1 & 1.28016060041596e-22 & 6.4008030020798e-23 \tabularnewline
239 & 1 & 4.96923303464221e-22 & 2.4846165173211e-22 \tabularnewline
240 & 1 & 2.30913127068851e-21 & 1.15456563534425e-21 \tabularnewline
241 & 1 & 8.896176117025e-21 & 4.4480880585125e-21 \tabularnewline
242 & 1 & 4.53099027455568e-20 & 2.26549513727784e-20 \tabularnewline
243 & 1 & 2.14708245622941e-19 & 1.07354122811471e-19 \tabularnewline
244 & 1 & 9.03798737808302e-19 & 4.51899368904151e-19 \tabularnewline
245 & 1 & 3.63404927200504e-18 & 1.81702463600252e-18 \tabularnewline
246 & 1 & 9.22016437609395e-18 & 4.61008218804698e-18 \tabularnewline
247 & 1 & 1.54004018928437e-17 & 7.70020094642187e-18 \tabularnewline
248 & 1 & 7.35881801774273e-17 & 3.67940900887137e-17 \tabularnewline
249 & 1 & 1.96053768175162e-16 & 9.8026884087581e-17 \tabularnewline
250 & 1 & 2.33344942942534e-16 & 1.16672471471267e-16 \tabularnewline
251 & 1 & 9.89421712490253e-16 & 4.94710856245126e-16 \tabularnewline
252 & 0.999999999999998 & 4.11428021324367e-15 & 2.05714010662183e-15 \tabularnewline
253 & 0.99999999999999 & 1.97329263076774e-14 & 9.86646315383869e-15 \tabularnewline
254 & 0.999999999999962 & 7.64156532908994e-14 & 3.82078266454497e-14 \tabularnewline
255 & 0.999999999999893 & 2.14263084631771e-13 & 1.07131542315886e-13 \tabularnewline
256 & 0.999999999999505 & 9.89889275481474e-13 & 4.94944637740737e-13 \tabularnewline
257 & 0.99999999999777 & 4.4582809311103e-12 & 2.22914046555515e-12 \tabularnewline
258 & 0.999999999991702 & 1.65957347294706e-11 & 8.2978673647353e-12 \tabularnewline
259 & 0.999999999976215 & 4.75706958488461e-11 & 2.3785347924423e-11 \tabularnewline
260 & 0.999999999895338 & 2.09323441014394e-10 & 1.04661720507197e-10 \tabularnewline
261 & 0.999999999724539 & 5.50922877852275e-10 & 2.75461438926137e-10 \tabularnewline
262 & 0.999999998767479 & 2.46504235279959e-09 & 1.23252117639979e-09 \tabularnewline
263 & 0.999999998587224 & 2.82555241709666e-09 & 1.41277620854833e-09 \tabularnewline
264 & 0.999999994221446 & 1.15571072786232e-08 & 5.7785536393116e-09 \tabularnewline
265 & 0.999999979931927 & 4.01361457865786e-08 & 2.00680728932893e-08 \tabularnewline
266 & 0.999999919701964 & 1.60596072026593e-07 & 8.02980360132966e-08 \tabularnewline
267 & 0.999999656460526 & 6.8707894804235e-07 & 3.43539474021175e-07 \tabularnewline
268 & 0.999998649666173 & 2.70066765471513e-06 & 1.35033382735756e-06 \tabularnewline
269 & 0.999994917611698 & 1.01647766046977e-05 & 5.08238830234883e-06 \tabularnewline
270 & 0.99999270226426 & 1.45954714824291e-05 & 7.29773574121457e-06 \tabularnewline
271 & 0.999970221044758 & 5.9557910484838e-05 & 2.9778955242419e-05 \tabularnewline
272 & 0.999904989723487 & 0.000190020553025902 & 9.50102765129509e-05 \tabularnewline
273 & 0.999690516953937 & 0.000618966092126767 & 0.000309483046063383 \tabularnewline
274 & 0.999095837157794 & 0.00180832568441148 & 0.000904162842205741 \tabularnewline
275 & 0.99693671848323 & 0.00612656303354077 & 0.00306328151677038 \tabularnewline
276 & 0.989627137811846 & 0.020745724376309 & 0.0103728621881545 \tabularnewline
277 & 0.991539967584188 & 0.0169200648316234 & 0.00846003241581169 \tabularnewline
278 & 0.969018856613184 & 0.0619622867736318 & 0.0309811433868159 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155721&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]11[/C][C]0.0318256896983707[/C][C]0.0636513793967415[/C][C]0.96817431030163[/C][/ROW]
[ROW][C]12[/C][C]0.086216602793717[/C][C]0.172433205587434[/C][C]0.913783397206283[/C][/ROW]
[ROW][C]13[/C][C]0.0357418572468006[/C][C]0.0714837144936011[/C][C]0.9642581427532[/C][/ROW]
[ROW][C]14[/C][C]0.0185911658268322[/C][C]0.0371823316536643[/C][C]0.981408834173168[/C][/ROW]
[ROW][C]15[/C][C]0.00703688287719574[/C][C]0.0140737657543915[/C][C]0.992963117122804[/C][/ROW]
[ROW][C]16[/C][C]0.00282002091199311[/C][C]0.00564004182398621[/C][C]0.997179979088007[/C][/ROW]
[ROW][C]17[/C][C]0.000961401275837974[/C][C]0.00192280255167595[/C][C]0.999038598724162[/C][/ROW]
[ROW][C]18[/C][C]0.000433414089076914[/C][C]0.000866828178153829[/C][C]0.999566585910923[/C][/ROW]
[ROW][C]19[/C][C]0.000502817226839639[/C][C]0.00100563445367928[/C][C]0.99949718277316[/C][/ROW]
[ROW][C]20[/C][C]0.000176234229097561[/C][C]0.000352468458195122[/C][C]0.999823765770902[/C][/ROW]
[ROW][C]21[/C][C]6.08390127608744e-05[/C][C]0.000121678025521749[/C][C]0.99993916098724[/C][/ROW]
[ROW][C]22[/C][C]2.03204623748943e-05[/C][C]4.06409247497887e-05[/C][C]0.999979679537625[/C][/ROW]
[ROW][C]23[/C][C]1.48736296083171e-05[/C][C]2.97472592166343e-05[/C][C]0.999985126370392[/C][/ROW]
[ROW][C]24[/C][C]4.82773572071125e-06[/C][C]9.6554714414225e-06[/C][C]0.99999517226428[/C][/ROW]
[ROW][C]25[/C][C]1.55143027001784e-06[/C][C]3.10286054003568e-06[/C][C]0.99999844856973[/C][/ROW]
[ROW][C]26[/C][C]6.37241886681793e-07[/C][C]1.27448377336359e-06[/C][C]0.999999362758113[/C][/ROW]
[ROW][C]27[/C][C]1.95109862561403e-07[/C][C]3.90219725122806e-07[/C][C]0.999999804890137[/C][/ROW]
[ROW][C]28[/C][C]6.54507483183105e-08[/C][C]1.30901496636621e-07[/C][C]0.999999934549252[/C][/ROW]
[ROW][C]29[/C][C]2.68782102949219e-08[/C][C]5.37564205898437e-08[/C][C]0.99999997312179[/C][/ROW]
[ROW][C]30[/C][C]1.82763420907651e-08[/C][C]3.65526841815302e-08[/C][C]0.999999981723658[/C][/ROW]
[ROW][C]31[/C][C]6.9598023355243e-09[/C][C]1.39196046710486e-08[/C][C]0.999999993040198[/C][/ROW]
[ROW][C]32[/C][C]3.57034158395475e-09[/C][C]7.1406831679095e-09[/C][C]0.999999996429658[/C][/ROW]
[ROW][C]33[/C][C]2.79623927891932e-09[/C][C]5.59247855783865e-09[/C][C]0.99999999720376[/C][/ROW]
[ROW][C]34[/C][C]1.0310713912239e-09[/C][C]2.0621427824478e-09[/C][C]0.999999998968929[/C][/ROW]
[ROW][C]35[/C][C]5.05013803662371e-10[/C][C]1.01002760732474e-09[/C][C]0.999999999494986[/C][/ROW]
[ROW][C]36[/C][C]3.64605359090878e-10[/C][C]7.29210718181755e-10[/C][C]0.999999999635395[/C][/ROW]
[ROW][C]37[/C][C]2.47601654781309e-10[/C][C]4.95203309562617e-10[/C][C]0.999999999752398[/C][/ROW]
[ROW][C]38[/C][C]7.58390544910035e-11[/C][C]1.51678108982007e-10[/C][C]0.99999999992416[/C][/ROW]
[ROW][C]39[/C][C]2.35561321089759e-11[/C][C]4.71122642179517e-11[/C][C]0.999999999976444[/C][/ROW]
[ROW][C]40[/C][C]1.0186018975166e-11[/C][C]2.0372037950332e-11[/C][C]0.999999999989814[/C][/ROW]
[ROW][C]41[/C][C]3.80322327391224e-12[/C][C]7.60644654782449e-12[/C][C]0.999999999996197[/C][/ROW]
[ROW][C]42[/C][C]1.1457046796562e-12[/C][C]2.29140935931241e-12[/C][C]0.999999999998854[/C][/ROW]
[ROW][C]43[/C][C]3.3722098521237e-13[/C][C]6.7444197042474e-13[/C][C]0.999999999999663[/C][/ROW]
[ROW][C]44[/C][C]1.31067541919203e-13[/C][C]2.62135083838405e-13[/C][C]0.999999999999869[/C][/ROW]
[ROW][C]45[/C][C]3.89123039768031e-14[/C][C]7.78246079536063e-14[/C][C]0.999999999999961[/C][/ROW]
[ROW][C]46[/C][C]1.07688411175807e-14[/C][C]2.15376822351613e-14[/C][C]0.99999999999999[/C][/ROW]
[ROW][C]47[/C][C]5.51591529711786e-15[/C][C]1.10318305942357e-14[/C][C]0.999999999999994[/C][/ROW]
[ROW][C]48[/C][C]3.7587464314025e-15[/C][C]7.517492862805e-15[/C][C]0.999999999999996[/C][/ROW]
[ROW][C]49[/C][C]1.03758435623145e-15[/C][C]2.0751687124629e-15[/C][C]1[/C][/ROW]
[ROW][C]50[/C][C]2.26911009560329e-15[/C][C]4.53822019120658e-15[/C][C]0.999999999999998[/C][/ROW]
[ROW][C]51[/C][C]6.12567890244451e-15[/C][C]1.2251357804889e-14[/C][C]0.999999999999994[/C][/ROW]
[ROW][C]52[/C][C]2.00265951795095e-15[/C][C]4.0053190359019e-15[/C][C]0.999999999999998[/C][/ROW]
[ROW][C]53[/C][C]6.9041891479868e-16[/C][C]1.38083782959736e-15[/C][C]1[/C][/ROW]
[ROW][C]54[/C][C]6.33718134408127e-16[/C][C]1.26743626881625e-15[/C][C]1[/C][/ROW]
[ROW][C]55[/C][C]2.32512877418852e-16[/C][C]4.65025754837703e-16[/C][C]1[/C][/ROW]
[ROW][C]56[/C][C]7.50149395771628e-17[/C][C]1.50029879154326e-16[/C][C]1[/C][/ROW]
[ROW][C]57[/C][C]2.31672435674489e-17[/C][C]4.63344871348978e-17[/C][C]1[/C][/ROW]
[ROW][C]58[/C][C]6.64508134129495e-18[/C][C]1.32901626825899e-17[/C][C]1[/C][/ROW]
[ROW][C]59[/C][C]1.91092452837541e-18[/C][C]3.82184905675082e-18[/C][C]1[/C][/ROW]
[ROW][C]60[/C][C]5.40954824366919e-19[/C][C]1.08190964873384e-18[/C][C]1[/C][/ROW]
[ROW][C]61[/C][C]1.50198670971546e-19[/C][C]3.00397341943092e-19[/C][C]1[/C][/ROW]
[ROW][C]62[/C][C]1.51960941864698e-19[/C][C]3.03921883729395e-19[/C][C]1[/C][/ROW]
[ROW][C]63[/C][C]9.52483900572814e-20[/C][C]1.90496780114563e-19[/C][C]1[/C][/ROW]
[ROW][C]64[/C][C]2.94625722510889e-20[/C][C]5.89251445021778e-20[/C][C]1[/C][/ROW]
[ROW][C]65[/C][C]1.43174588484822e-20[/C][C]2.86349176969643e-20[/C][C]1[/C][/ROW]
[ROW][C]66[/C][C]6.31559236441254e-21[/C][C]1.26311847288251e-20[/C][C]1[/C][/ROW]
[ROW][C]67[/C][C]2.48486768579387e-21[/C][C]4.96973537158773e-21[/C][C]1[/C][/ROW]
[ROW][C]68[/C][C]1.34850372285398e-21[/C][C]2.69700744570795e-21[/C][C]1[/C][/ROW]
[ROW][C]69[/C][C]1.74324785538363e-21[/C][C]3.48649571076726e-21[/C][C]1[/C][/ROW]
[ROW][C]70[/C][C]5.72245469282019e-22[/C][C]1.14449093856404e-21[/C][C]1[/C][/ROW]
[ROW][C]71[/C][C]1.61948676747213e-22[/C][C]3.23897353494427e-22[/C][C]1[/C][/ROW]
[ROW][C]72[/C][C]4.55820841780702e-23[/C][C]9.11641683561404e-23[/C][C]1[/C][/ROW]
[ROW][C]73[/C][C]2.06648531024377e-23[/C][C]4.13297062048755e-23[/C][C]1[/C][/ROW]
[ROW][C]74[/C][C]1.75345624998626e-23[/C][C]3.50691249997252e-23[/C][C]1[/C][/ROW]
[ROW][C]75[/C][C]6.24057959820837e-24[/C][C]1.24811591964167e-23[/C][C]1[/C][/ROW]
[ROW][C]76[/C][C]1.86296013073301e-24[/C][C]3.72592026146603e-24[/C][C]1[/C][/ROW]
[ROW][C]77[/C][C]1.05077987494661e-24[/C][C]2.10155974989322e-24[/C][C]1[/C][/ROW]
[ROW][C]78[/C][C]3.14188291219846e-25[/C][C]6.28376582439691e-25[/C][C]1[/C][/ROW]
[ROW][C]79[/C][C]9.42460703667331e-26[/C][C]1.88492140733466e-25[/C][C]1[/C][/ROW]
[ROW][C]80[/C][C]2.68435645903745e-26[/C][C]5.36871291807489e-26[/C][C]1[/C][/ROW]
[ROW][C]81[/C][C]7.88418289382788e-27[/C][C]1.57683657876558e-26[/C][C]1[/C][/ROW]
[ROW][C]82[/C][C]2.76509849260182e-27[/C][C]5.53019698520365e-27[/C][C]1[/C][/ROW]
[ROW][C]83[/C][C]9.30630602174751e-28[/C][C]1.8612612043495e-27[/C][C]1[/C][/ROW]
[ROW][C]84[/C][C]2.46393763860835e-28[/C][C]4.9278752772167e-28[/C][C]1[/C][/ROW]
[ROW][C]85[/C][C]4.42852741219907e-18[/C][C]8.85705482439814e-18[/C][C]1[/C][/ROW]
[ROW][C]86[/C][C]1.69518667412974e-18[/C][C]3.39037334825948e-18[/C][C]1[/C][/ROW]
[ROW][C]87[/C][C]6.33979078843819e-19[/C][C]1.26795815768764e-18[/C][C]1[/C][/ROW]
[ROW][C]88[/C][C]2.45896251046839e-19[/C][C]4.91792502093677e-19[/C][C]1[/C][/ROW]
[ROW][C]89[/C][C]9.45724747423887e-20[/C][C]1.89144949484777e-19[/C][C]1[/C][/ROW]
[ROW][C]90[/C][C]4.57537524912229e-20[/C][C]9.15075049824457e-20[/C][C]1[/C][/ROW]
[ROW][C]91[/C][C]1.70509660392349e-20[/C][C]3.41019320784699e-20[/C][C]1[/C][/ROW]
[ROW][C]92[/C][C]7.88504762354138e-21[/C][C]1.57700952470828e-20[/C][C]1[/C][/ROW]
[ROW][C]93[/C][C]3.67592064362669e-21[/C][C]7.35184128725337e-21[/C][C]1[/C][/ROW]
[ROW][C]94[/C][C]2.15603126062588e-21[/C][C]4.31206252125177e-21[/C][C]1[/C][/ROW]
[ROW][C]95[/C][C]1.04224478540527e-21[/C][C]2.08448957081055e-21[/C][C]1[/C][/ROW]
[ROW][C]96[/C][C]4.13629691540321e-22[/C][C]8.27259383080642e-22[/C][C]1[/C][/ROW]
[ROW][C]97[/C][C]1.83886239383329e-22[/C][C]3.67772478766658e-22[/C][C]1[/C][/ROW]
[ROW][C]98[/C][C]2.33444104567578e-22[/C][C]4.66888209135156e-22[/C][C]1[/C][/ROW]
[ROW][C]99[/C][C]1.29138573934145e-22[/C][C]2.58277147868289e-22[/C][C]1[/C][/ROW]
[ROW][C]100[/C][C]4.50921084151249e-23[/C][C]9.01842168302498e-23[/C][C]1[/C][/ROW]
[ROW][C]101[/C][C]1.60749685787251e-23[/C][C]3.21499371574503e-23[/C][C]1[/C][/ROW]
[ROW][C]102[/C][C]8.03018819506231e-24[/C][C]1.60603763901246e-23[/C][C]1[/C][/ROW]
[ROW][C]103[/C][C]3.87397251694624e-24[/C][C]7.74794503389247e-24[/C][C]1[/C][/ROW]
[ROW][C]104[/C][C]5.06060373382775e-24[/C][C]1.01212074676555e-23[/C][C]1[/C][/ROW]
[ROW][C]105[/C][C]4.03592307468274e-24[/C][C]8.07184614936547e-24[/C][C]1[/C][/ROW]
[ROW][C]106[/C][C]3.8768652758579e-24[/C][C]7.7537305517158e-24[/C][C]1[/C][/ROW]
[ROW][C]107[/C][C]1.37985738496598e-24[/C][C]2.75971476993195e-24[/C][C]1[/C][/ROW]
[ROW][C]108[/C][C]4.97721847762074e-25[/C][C]9.95443695524147e-25[/C][C]1[/C][/ROW]
[ROW][C]109[/C][C]2.05401755248515e-25[/C][C]4.1080351049703e-25[/C][C]1[/C][/ROW]
[ROW][C]110[/C][C]1.22356406983393e-25[/C][C]2.44712813966786e-25[/C][C]1[/C][/ROW]
[ROW][C]111[/C][C]4.25922574754788e-26[/C][C]8.51845149509576e-26[/C][C]1[/C][/ROW]
[ROW][C]112[/C][C]1.4948543069431e-26[/C][C]2.98970861388619e-26[/C][C]1[/C][/ROW]
[ROW][C]113[/C][C]5.37897056427969e-27[/C][C]1.07579411285594e-26[/C][C]1[/C][/ROW]
[ROW][C]114[/C][C]2.03151984525234e-27[/C][C]4.06303969050467e-27[/C][C]1[/C][/ROW]
[ROW][C]115[/C][C]7.34896775809956e-28[/C][C]1.46979355161991e-27[/C][C]1[/C][/ROW]
[ROW][C]116[/C][C]2.48042899221565e-28[/C][C]4.96085798443131e-28[/C][C]1[/C][/ROW]
[ROW][C]117[/C][C]8.13616667154875e-29[/C][C]1.62723333430975e-28[/C][C]1[/C][/ROW]
[ROW][C]118[/C][C]3.43372556587429e-29[/C][C]6.86745113174859e-29[/C][C]1[/C][/ROW]
[ROW][C]119[/C][C]7.78921238117189e-26[/C][C]1.55784247623438e-25[/C][C]1[/C][/ROW]
[ROW][C]120[/C][C]2.87852955389717e-26[/C][C]5.75705910779434e-26[/C][C]1[/C][/ROW]
[ROW][C]121[/C][C]1.07829781121179e-26[/C][C]2.15659562242359e-26[/C][C]1[/C][/ROW]
[ROW][C]122[/C][C]4.04719303365467e-27[/C][C]8.09438606730933e-27[/C][C]1[/C][/ROW]
[ROW][C]123[/C][C]1.64428064597089e-27[/C][C]3.28856129194178e-27[/C][C]1[/C][/ROW]
[ROW][C]124[/C][C]1.01292350048228e-25[/C][C]2.02584700096456e-25[/C][C]1[/C][/ROW]
[ROW][C]125[/C][C]4.39287722622877e-26[/C][C]8.78575445245754e-26[/C][C]1[/C][/ROW]
[ROW][C]126[/C][C]1.8313295774063e-26[/C][C]3.66265915481259e-26[/C][C]1[/C][/ROW]
[ROW][C]127[/C][C]7.05840520301421e-27[/C][C]1.41168104060284e-26[/C][C]1[/C][/ROW]
[ROW][C]128[/C][C]2.57887520287772e-27[/C][C]5.15775040575543e-27[/C][C]1[/C][/ROW]
[ROW][C]129[/C][C]1.02235752183496e-27[/C][C]2.04471504366992e-27[/C][C]1[/C][/ROW]
[ROW][C]130[/C][C]3.95302274045851e-28[/C][C]7.90604548091703e-28[/C][C]1[/C][/ROW]
[ROW][C]131[/C][C]1.37214229199492e-28[/C][C]2.74428458398985e-28[/C][C]1[/C][/ROW]
[ROW][C]132[/C][C]4.81918645415835e-29[/C][C]9.6383729083167e-29[/C][C]1[/C][/ROW]
[ROW][C]133[/C][C]1.71017821587582e-29[/C][C]3.42035643175164e-29[/C][C]1[/C][/ROW]
[ROW][C]134[/C][C]5.95340224989815e-30[/C][C]1.19068044997963e-29[/C][C]1[/C][/ROW]
[ROW][C]135[/C][C]3.00548002347886e-30[/C][C]6.01096004695772e-30[/C][C]1[/C][/ROW]
[ROW][C]136[/C][C]5.66695357144419e-30[/C][C]1.13339071428884e-29[/C][C]1[/C][/ROW]
[ROW][C]137[/C][C]1[/C][C]4.37262843954578e-55[/C][C]2.18631421977289e-55[/C][/ROW]
[ROW][C]138[/C][C]1[/C][C]4.24359533784677e-55[/C][C]2.12179766892338e-55[/C][/ROW]
[ROW][C]139[/C][C]1[/C][C]1.09700132098905e-54[/C][C]5.48500660494526e-55[/C][/ROW]
[ROW][C]140[/C][C]1[/C][C]4.15843893918054e-54[/C][C]2.07921946959027e-54[/C][/ROW]
[ROW][C]141[/C][C]1[/C][C]1.61702710883237e-53[/C][C]8.08513554416187e-54[/C][/ROW]
[ROW][C]142[/C][C]1[/C][C]5.25803671441708e-53[/C][C]2.62901835720854e-53[/C][/ROW]
[ROW][C]143[/C][C]1[/C][C]1.93610535954074e-52[/C][C]9.68052679770372e-53[/C][/ROW]
[ROW][C]144[/C][C]1[/C][C]4.39263151585973e-52[/C][C]2.19631575792987e-52[/C][/ROW]
[ROW][C]145[/C][C]1[/C][C]1.06890557405477e-51[/C][C]5.34452787027384e-52[/C][/ROW]
[ROW][C]146[/C][C]1[/C][C]3.47486010283991e-51[/C][C]1.73743005141996e-51[/C][/ROW]
[ROW][C]147[/C][C]1[/C][C]3.70185043050796e-51[/C][C]1.85092521525398e-51[/C][/ROW]
[ROW][C]148[/C][C]1[/C][C]1.77209227531377e-51[/C][C]8.86046137656885e-52[/C][/ROW]
[ROW][C]149[/C][C]1[/C][C]6.23082627558549e-51[/C][C]3.11541313779274e-51[/C][/ROW]
[ROW][C]150[/C][C]1[/C][C]2.57996621879015e-50[/C][C]1.28998310939508e-50[/C][/ROW]
[ROW][C]151[/C][C]1[/C][C]4.11036632020282e-50[/C][C]2.05518316010141e-50[/C][/ROW]
[ROW][C]152[/C][C]1[/C][C]7.48205416353614e-50[/C][C]3.74102708176807e-50[/C][/ROW]
[ROW][C]153[/C][C]1[/C][C]3.00422761576699e-49[/C][C]1.5021138078835e-49[/C][/ROW]
[ROW][C]154[/C][C]1[/C][C]6.98050180915694e-49[/C][C]3.49025090457847e-49[/C][/ROW]
[ROW][C]155[/C][C]1[/C][C]2.29475822987172e-48[/C][C]1.14737911493586e-48[/C][/ROW]
[ROW][C]156[/C][C]1[/C][C]1.31212571748008e-50[/C][C]6.5606285874004e-51[/C][/ROW]
[ROW][C]157[/C][C]1[/C][C]5.06211096758001e-50[/C][C]2.53105548379001e-50[/C][/ROW]
[ROW][C]158[/C][C]1[/C][C]1.77281611682424e-49[/C][C]8.86408058412121e-50[/C][/ROW]
[ROW][C]159[/C][C]1[/C][C]7.29063960222349e-49[/C][C]3.64531980111175e-49[/C][/ROW]
[ROW][C]160[/C][C]1[/C][C]2.84309644891817e-48[/C][C]1.42154822445909e-48[/C][/ROW]
[ROW][C]161[/C][C]1[/C][C]1.16179566334548e-47[/C][C]5.8089783167274e-48[/C][/ROW]
[ROW][C]162[/C][C]1[/C][C]1.13810841935702e-50[/C][C]5.69054209678509e-51[/C][/ROW]
[ROW][C]163[/C][C]1[/C][C]4.82982888571042e-50[/C][C]2.41491444285521e-50[/C][/ROW]
[ROW][C]164[/C][C]1[/C][C]3.90918832247063e-50[/C][C]1.95459416123531e-50[/C][/ROW]
[ROW][C]165[/C][C]1[/C][C]1.52198115811293e-49[/C][C]7.60990579056467e-50[/C][/ROW]
[ROW][C]166[/C][C]1[/C][C]2.2027744752682e-49[/C][C]1.1013872376341e-49[/C][/ROW]
[ROW][C]167[/C][C]1[/C][C]9.32068988446106e-50[/C][C]4.66034494223053e-50[/C][/ROW]
[ROW][C]168[/C][C]1[/C][C]9.05170645660944e-51[/C][C]4.52585322830472e-51[/C][/ROW]
[ROW][C]169[/C][C]1[/C][C]2.1841289279392e-50[/C][C]1.0920644639696e-50[/C][/ROW]
[ROW][C]170[/C][C]1[/C][C]7.89589798596266e-51[/C][C]3.94794899298133e-51[/C][/ROW]
[ROW][C]171[/C][C]1[/C][C]1.73405103386464e-50[/C][C]8.67025516932322e-51[/C][/ROW]
[ROW][C]172[/C][C]1[/C][C]8.30609915003708e-50[/C][C]4.15304957501854e-50[/C][/ROW]
[ROW][C]173[/C][C]1[/C][C]4.14658567448783e-49[/C][C]2.07329283724391e-49[/C][/ROW]
[ROW][C]174[/C][C]1[/C][C]2.02891762989475e-48[/C][C]1.01445881494738e-48[/C][/ROW]
[ROW][C]175[/C][C]1[/C][C]3.32968474097192e-49[/C][C]1.66484237048596e-49[/C][/ROW]
[ROW][C]176[/C][C]1[/C][C]1.31485305149979e-48[/C][C]6.57426525749893e-49[/C][/ROW]
[ROW][C]177[/C][C]1[/C][C]2.59640470360157e-50[/C][C]1.29820235180079e-50[/C][/ROW]
[ROW][C]178[/C][C]1[/C][C]1.29546702592248e-49[/C][C]6.47733512961241e-50[/C][/ROW]
[ROW][C]179[/C][C]1[/C][C]5.27608543847903e-50[/C][C]2.63804271923951e-50[/C][/ROW]
[ROW][C]180[/C][C]1[/C][C]1.90435299035651e-49[/C][C]9.52176495178256e-50[/C][/ROW]
[ROW][C]181[/C][C]1[/C][C]4.93865236791502e-49[/C][C]2.46932618395751e-49[/C][/ROW]
[ROW][C]182[/C][C]1[/C][C]7.0821861874128e-50[/C][C]3.5410930937064e-50[/C][/ROW]
[ROW][C]183[/C][C]1[/C][C]3.47249238391266e-49[/C][C]1.73624619195633e-49[/C][/ROW]
[ROW][C]184[/C][C]1[/C][C]1.83480444608418e-48[/C][C]9.17402223042089e-49[/C][/ROW]
[ROW][C]185[/C][C]1[/C][C]4.44066823135977e-49[/C][C]2.22033411567989e-49[/C][/ROW]
[ROW][C]186[/C][C]1[/C][C]2.21220993930077e-48[/C][C]1.10610496965038e-48[/C][/ROW]
[ROW][C]187[/C][C]1[/C][C]7.60140794955481e-48[/C][C]3.80070397477741e-48[/C][/ROW]
[ROW][C]188[/C][C]1[/C][C]3.79933318566233e-47[/C][C]1.89966659283117e-47[/C][/ROW]
[ROW][C]189[/C][C]1[/C][C]1.21132133908141e-46[/C][C]6.05660669540707e-47[/C][/ROW]
[ROW][C]190[/C][C]1[/C][C]6.3639071950007e-46[/C][C]3.18195359750035e-46[/C][/ROW]
[ROW][C]191[/C][C]1[/C][C]2.98562310582348e-46[/C][C]1.49281155291174e-46[/C][/ROW]
[ROW][C]192[/C][C]1[/C][C]1.6220701488109e-45[/C][C]8.1103507440545e-46[/C][/ROW]
[ROW][C]193[/C][C]1[/C][C]8.33842834059417e-45[/C][C]4.16921417029709e-45[/C][/ROW]
[ROW][C]194[/C][C]1[/C][C]4.60673078831937e-44[/C][C]2.30336539415968e-44[/C][/ROW]
[ROW][C]195[/C][C]1[/C][C]2.41145282798417e-43[/C][C]1.20572641399209e-43[/C][/ROW]
[ROW][C]196[/C][C]1[/C][C]9.66765444923286e-43[/C][C]4.83382722461643e-43[/C][/ROW]
[ROW][C]197[/C][C]1[/C][C]4.66605448329522e-42[/C][C]2.33302724164761e-42[/C][/ROW]
[ROW][C]198[/C][C]1[/C][C]1.18755479490593e-42[/C][C]5.93777397452967e-43[/C][/ROW]
[ROW][C]199[/C][C]1[/C][C]1.64716976400817e-42[/C][C]8.23584882004084e-43[/C][/ROW]
[ROW][C]200[/C][C]1[/C][C]6.68755590801121e-42[/C][C]3.3437779540056e-42[/C][/ROW]
[ROW][C]201[/C][C]1[/C][C]3.22613449253159e-41[/C][C]1.6130672462658e-41[/C][/ROW]
[ROW][C]202[/C][C]1[/C][C]1.03753747090481e-41[/C][C]5.18768735452403e-42[/C][/ROW]
[ROW][C]203[/C][C]1[/C][C]4.7130339214146e-41[/C][C]2.3565169607073e-41[/C][/ROW]
[ROW][C]204[/C][C]1[/C][C]1.70865120079183e-40[/C][C]8.54325600395915e-41[/C][/ROW]
[ROW][C]205[/C][C]1[/C][C]9.32447365257818e-40[/C][C]4.66223682628909e-40[/C][/ROW]
[ROW][C]206[/C][C]1[/C][C]4.97568166211014e-39[/C][C]2.48784083105507e-39[/C][/ROW]
[ROW][C]207[/C][C]1[/C][C]2.66084694580985e-38[/C][C]1.33042347290493e-38[/C][/ROW]
[ROW][C]208[/C][C]1[/C][C]1.35785434627256e-37[/C][C]6.7892717313628e-38[/C][/ROW]
[ROW][C]209[/C][C]1[/C][C]5.09904265672301e-37[/C][C]2.5495213283615e-37[/C][/ROW]
[ROW][C]210[/C][C]1[/C][C]1.20755789874527e-36[/C][C]6.03778949372634e-37[/C][/ROW]
[ROW][C]211[/C][C]1[/C][C]4.9164191645002e-36[/C][C]2.4582095822501e-36[/C][/ROW]
[ROW][C]212[/C][C]1[/C][C]2.61298657231369e-35[/C][C]1.30649328615685e-35[/C][/ROW]
[ROW][C]213[/C][C]1[/C][C]1.34987287339853e-34[/C][C]6.74936436699267e-35[/C][/ROW]
[ROW][C]214[/C][C]1[/C][C]6.88023713949894e-34[/C][C]3.44011856974947e-34[/C][/ROW]
[ROW][C]215[/C][C]1[/C][C]6.17071971438768e-34[/C][C]3.08535985719384e-34[/C][/ROW]
[ROW][C]216[/C][C]1[/C][C]1.60491091150835e-33[/C][C]8.02455455754177e-34[/C][/ROW]
[ROW][C]217[/C][C]1[/C][C]8.46191837268505e-33[/C][C]4.23095918634252e-33[/C][/ROW]
[ROW][C]218[/C][C]1[/C][C]2.56788546137138e-32[/C][C]1.28394273068569e-32[/C][/ROW]
[ROW][C]219[/C][C]1[/C][C]9.08243339412197e-32[/C][C]4.54121669706099e-32[/C][/ROW]
[ROW][C]220[/C][C]1[/C][C]3.02907151974716e-31[/C][C]1.51453575987358e-31[/C][/ROW]
[ROW][C]221[/C][C]1[/C][C]1.20274728451193e-30[/C][C]6.01373642255966e-31[/C][/ROW]
[ROW][C]222[/C][C]1[/C][C]5.94995139076705e-30[/C][C]2.97497569538352e-30[/C][/ROW]
[ROW][C]223[/C][C]1[/C][C]2.35619385234042e-29[/C][C]1.17809692617021e-29[/C][/ROW]
[ROW][C]224[/C][C]1[/C][C]1.21275927917526e-28[/C][C]6.06379639587631e-29[/C][/ROW]
[ROW][C]225[/C][C]1[/C][C]5.09725186864617e-28[/C][C]2.54862593432309e-28[/C][/ROW]
[ROW][C]226[/C][C]1[/C][C]1.69034620205059e-27[/C][C]8.45173101025294e-28[/C][/ROW]
[ROW][C]227[/C][C]1[/C][C]4.75197687462226e-27[/C][C]2.37598843731113e-27[/C][/ROW]
[ROW][C]228[/C][C]1[/C][C]2.28600601977835e-26[/C][C]1.14300300988918e-26[/C][/ROW]
[ROW][C]229[/C][C]1[/C][C]1.55096794635699e-26[/C][C]7.75483973178497e-27[/C][/ROW]
[ROW][C]230[/C][C]1[/C][C]1.04914529460096e-27[/C][C]5.24572647300481e-28[/C][/ROW]
[ROW][C]231[/C][C]1[/C][C]4.18404826841364e-27[/C][C]2.09202413420682e-27[/C][/ROW]
[ROW][C]232[/C][C]1[/C][C]2.30223018850732e-26[/C][C]1.15111509425366e-26[/C][/ROW]
[ROW][C]233[/C][C]1[/C][C]6.38709586028177e-26[/C][C]3.19354793014089e-26[/C][/ROW]
[ROW][C]234[/C][C]1[/C][C]2.55778820007399e-25[/C][C]1.278894100037e-25[/C][/ROW]
[ROW][C]235[/C][C]1[/C][C]1.39888443577413e-24[/C][C]6.99442217887067e-25[/C][/ROW]
[ROW][C]236[/C][C]1[/C][C]7.45419099452953e-24[/C][C]3.72709549726477e-24[/C][/ROW]
[ROW][C]237[/C][C]1[/C][C]3.43512382500835e-23[/C][C]1.71756191250418e-23[/C][/ROW]
[ROW][C]238[/C][C]1[/C][C]1.28016060041596e-22[/C][C]6.4008030020798e-23[/C][/ROW]
[ROW][C]239[/C][C]1[/C][C]4.96923303464221e-22[/C][C]2.4846165173211e-22[/C][/ROW]
[ROW][C]240[/C][C]1[/C][C]2.30913127068851e-21[/C][C]1.15456563534425e-21[/C][/ROW]
[ROW][C]241[/C][C]1[/C][C]8.896176117025e-21[/C][C]4.4480880585125e-21[/C][/ROW]
[ROW][C]242[/C][C]1[/C][C]4.53099027455568e-20[/C][C]2.26549513727784e-20[/C][/ROW]
[ROW][C]243[/C][C]1[/C][C]2.14708245622941e-19[/C][C]1.07354122811471e-19[/C][/ROW]
[ROW][C]244[/C][C]1[/C][C]9.03798737808302e-19[/C][C]4.51899368904151e-19[/C][/ROW]
[ROW][C]245[/C][C]1[/C][C]3.63404927200504e-18[/C][C]1.81702463600252e-18[/C][/ROW]
[ROW][C]246[/C][C]1[/C][C]9.22016437609395e-18[/C][C]4.61008218804698e-18[/C][/ROW]
[ROW][C]247[/C][C]1[/C][C]1.54004018928437e-17[/C][C]7.70020094642187e-18[/C][/ROW]
[ROW][C]248[/C][C]1[/C][C]7.35881801774273e-17[/C][C]3.67940900887137e-17[/C][/ROW]
[ROW][C]249[/C][C]1[/C][C]1.96053768175162e-16[/C][C]9.8026884087581e-17[/C][/ROW]
[ROW][C]250[/C][C]1[/C][C]2.33344942942534e-16[/C][C]1.16672471471267e-16[/C][/ROW]
[ROW][C]251[/C][C]1[/C][C]9.89421712490253e-16[/C][C]4.94710856245126e-16[/C][/ROW]
[ROW][C]252[/C][C]0.999999999999998[/C][C]4.11428021324367e-15[/C][C]2.05714010662183e-15[/C][/ROW]
[ROW][C]253[/C][C]0.99999999999999[/C][C]1.97329263076774e-14[/C][C]9.86646315383869e-15[/C][/ROW]
[ROW][C]254[/C][C]0.999999999999962[/C][C]7.64156532908994e-14[/C][C]3.82078266454497e-14[/C][/ROW]
[ROW][C]255[/C][C]0.999999999999893[/C][C]2.14263084631771e-13[/C][C]1.07131542315886e-13[/C][/ROW]
[ROW][C]256[/C][C]0.999999999999505[/C][C]9.89889275481474e-13[/C][C]4.94944637740737e-13[/C][/ROW]
[ROW][C]257[/C][C]0.99999999999777[/C][C]4.4582809311103e-12[/C][C]2.22914046555515e-12[/C][/ROW]
[ROW][C]258[/C][C]0.999999999991702[/C][C]1.65957347294706e-11[/C][C]8.2978673647353e-12[/C][/ROW]
[ROW][C]259[/C][C]0.999999999976215[/C][C]4.75706958488461e-11[/C][C]2.3785347924423e-11[/C][/ROW]
[ROW][C]260[/C][C]0.999999999895338[/C][C]2.09323441014394e-10[/C][C]1.04661720507197e-10[/C][/ROW]
[ROW][C]261[/C][C]0.999999999724539[/C][C]5.50922877852275e-10[/C][C]2.75461438926137e-10[/C][/ROW]
[ROW][C]262[/C][C]0.999999998767479[/C][C]2.46504235279959e-09[/C][C]1.23252117639979e-09[/C][/ROW]
[ROW][C]263[/C][C]0.999999998587224[/C][C]2.82555241709666e-09[/C][C]1.41277620854833e-09[/C][/ROW]
[ROW][C]264[/C][C]0.999999994221446[/C][C]1.15571072786232e-08[/C][C]5.7785536393116e-09[/C][/ROW]
[ROW][C]265[/C][C]0.999999979931927[/C][C]4.01361457865786e-08[/C][C]2.00680728932893e-08[/C][/ROW]
[ROW][C]266[/C][C]0.999999919701964[/C][C]1.60596072026593e-07[/C][C]8.02980360132966e-08[/C][/ROW]
[ROW][C]267[/C][C]0.999999656460526[/C][C]6.8707894804235e-07[/C][C]3.43539474021175e-07[/C][/ROW]
[ROW][C]268[/C][C]0.999998649666173[/C][C]2.70066765471513e-06[/C][C]1.35033382735756e-06[/C][/ROW]
[ROW][C]269[/C][C]0.999994917611698[/C][C]1.01647766046977e-05[/C][C]5.08238830234883e-06[/C][/ROW]
[ROW][C]270[/C][C]0.99999270226426[/C][C]1.45954714824291e-05[/C][C]7.29773574121457e-06[/C][/ROW]
[ROW][C]271[/C][C]0.999970221044758[/C][C]5.9557910484838e-05[/C][C]2.9778955242419e-05[/C][/ROW]
[ROW][C]272[/C][C]0.999904989723487[/C][C]0.000190020553025902[/C][C]9.50102765129509e-05[/C][/ROW]
[ROW][C]273[/C][C]0.999690516953937[/C][C]0.000618966092126767[/C][C]0.000309483046063383[/C][/ROW]
[ROW][C]274[/C][C]0.999095837157794[/C][C]0.00180832568441148[/C][C]0.000904162842205741[/C][/ROW]
[ROW][C]275[/C][C]0.99693671848323[/C][C]0.00612656303354077[/C][C]0.00306328151677038[/C][/ROW]
[ROW][C]276[/C][C]0.989627137811846[/C][C]0.020745724376309[/C][C]0.0103728621881545[/C][/ROW]
[ROW][C]277[/C][C]0.991539967584188[/C][C]0.0169200648316234[/C][C]0.00846003241581169[/C][/ROW]
[ROW][C]278[/C][C]0.969018856613184[/C][C]0.0619622867736318[/C][C]0.0309811433868159[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155721&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155721&T=5

As an alternative you can also use a QR Code:

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

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
11	0.0318256896983707	0.0636513793967415	0.96817431030163
12	0.086216602793717	0.172433205587434	0.913783397206283
13	0.0357418572468006	0.0714837144936011	0.9642581427532
14	0.0185911658268322	0.0371823316536643	0.981408834173168
15	0.00703688287719574	0.0140737657543915	0.992963117122804
16	0.00282002091199311	0.00564004182398621	0.997179979088007
17	0.000961401275837974	0.00192280255167595	0.999038598724162
18	0.000433414089076914	0.000866828178153829	0.999566585910923
19	0.000502817226839639	0.00100563445367928	0.99949718277316
20	0.000176234229097561	0.000352468458195122	0.999823765770902
21	6.08390127608744e-05	0.000121678025521749	0.99993916098724
22	2.03204623748943e-05	4.06409247497887e-05	0.999979679537625
23	1.48736296083171e-05	2.97472592166343e-05	0.999985126370392
24	4.82773572071125e-06	9.6554714414225e-06	0.99999517226428
25	1.55143027001784e-06	3.10286054003568e-06	0.99999844856973
26	6.37241886681793e-07	1.27448377336359e-06	0.999999362758113
27	1.95109862561403e-07	3.90219725122806e-07	0.999999804890137
28	6.54507483183105e-08	1.30901496636621e-07	0.999999934549252
29	2.68782102949219e-08	5.37564205898437e-08	0.99999997312179
30	1.82763420907651e-08	3.65526841815302e-08	0.999999981723658
31	6.9598023355243e-09	1.39196046710486e-08	0.999999993040198
32	3.57034158395475e-09	7.1406831679095e-09	0.999999996429658
33	2.79623927891932e-09	5.59247855783865e-09	0.99999999720376
34	1.0310713912239e-09	2.0621427824478e-09	0.999999998968929
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260	0.999999999895338	2.09323441014394e-10	1.04661720507197e-10
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262	0.999999998767479	2.46504235279959e-09	1.23252117639979e-09
263	0.999999998587224	2.82555241709666e-09	1.41277620854833e-09
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266	0.999999919701964	1.60596072026593e-07	8.02980360132966e-08
267	0.999999656460526	6.8707894804235e-07	3.43539474021175e-07
268	0.999998649666173	2.70066765471513e-06	1.35033382735756e-06
269	0.999994917611698	1.01647766046977e-05	5.08238830234883e-06
270	0.99999270226426	1.45954714824291e-05	7.29773574121457e-06
271	0.999970221044758	5.9557910484838e-05	2.9778955242419e-05
272	0.999904989723487	0.000190020553025902	9.50102765129509e-05
273	0.999690516953937	0.000618966092126767	0.000309483046063383
274	0.999095837157794	0.00180832568441148	0.000904162842205741
275	0.99693671848323	0.00612656303354077	0.00306328151677038
276	0.989627137811846	0.020745724376309	0.0103728621881545
277	0.991539967584188	0.0169200648316234	0.00846003241581169
278	0.969018856613184	0.0619622867736318	0.0309811433868159

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	260	0.970149253731343	NOK
5% type I error level	264	0.985074626865672	NOK
10% type I error level	267	0.996268656716418	NOK

\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 & 260 & 0.970149253731343 & NOK \tabularnewline
5% type I error level & 264 & 0.985074626865672 & NOK \tabularnewline
10% type I error level & 267 & 0.996268656716418 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155721&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]260[/C][C]0.970149253731343[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]264[/C][C]0.985074626865672[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]267[/C][C]0.996268656716418[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155721&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155721&T=6

As an alternative you can also use a QR Code:

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	260	0.970149253731343	NOK
5% type I error level	264	0.985074626865672	NOK
10% type I error level	267	0.996268656716418	NOK

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Parameters (Session):

par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;

Parameters (R input):

par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;

R code (references can be found in the software module):

library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, mysum$coefficients[i,1], sep=' ')
if (rownames(mysum$coefficients)[i] != '(Intercept)') {
myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,mysum$coefficients[i,1])
a<-table.element(a, round(mysum$coefficients[i,2],6))
a<-table.element(a, round(mysum$coefficients[i,3],4))
a<-table.element(a, round(mysum$coefficients[i,4],6))
a<-table.element(a, round(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, sqrt(mysum$r.squared))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, mysum$r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, mysum$adj.r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, mysum$fstatistic[1])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[2])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[3])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, 1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
a<-table.element(a, mysum$sigma)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, sum(myerror*myerror))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,x[i])
a<-table.element(a,x[i]-mysum$resid[i])
a<-table.element(a,mysum$resid[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable4.tab')
if (n > n25) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-values',header=TRUE)
a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'breakpoint index',header=TRUE)
a<-table.element(a,'greater',header=TRUE)
a<-table.element(a,'2-sided',header=TRUE)
a<-table.element(a,'less',header=TRUE)
a<-table.row.end(a)
for (mypoint in kp3:nmkm3) {
a<-table.row.start(a)
a<-table.element(a,mypoint,header=TRUE)
a<-table.element(a,gqarr[mypoint-kp3+1,1])
a<-table.element(a,gqarr[mypoint-kp3+1,2])
a<-table.element(a,gqarr[mypoint-kp3+1,3])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable5.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,'# significant tests',header=TRUE)
a<-table.element(a,'% significant tests',header=TRUE)
a<-table.element(a,'OK/NOK',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'1% type I error level',header=TRUE)
a<-table.element(a,numsignificant1)
a<-table.element(a,numsignificant1/numgqtests)
if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'5% type I error level',header=TRUE)
a<-table.element(a,numsignificant5)
a<-table.element(a,numsignificant5/numgqtests)
if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'10% type I error level',header=TRUE)
a<-table.element(a,numsignificant10)
a<-table.element(a,numsignificant10/numgqtests)
if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable6.tab')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code