Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationSun, 12 Dec 2010 11:09:09 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/12/t12921529213uu1rmmh782mwtw.htm/, Retrieved Tue, 07 May 2024 10:03:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=108379, Retrieved Tue, 07 May 2024 10:03:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact122
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
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Dataseries X:
14,2754	0	12,5621	13,3181	16,8622	25,2609
12,2961	0	14,2754	12,5621	13,3181	16,8622
10,0871	0	12,2961	14,2754	12,5621	13,3181
13,5117	0	10,0871	12,2961	14,2754	12,5621
13,9921	0	13,5117	10,0871	12,2961	14,2754
13,6932	0	13,9921	13,5117	10,0871	12,2961
14,4211	0	13,6932	13,9921	13,5117	10,0871
15,3397	0	14,4211	13,6932	13,9921	13,5117
16,5182	0	15,3397	14,4211	13,6932	13,9921
15,2809	0	16,5182	15,3397	14,4211	13,6932
15,6204	0	15,2809	16,5182	15,3397	14,4211
15,5698	0	15,6204	15,2809	16,5182	15,3397
15,9458	0	15,5698	15,6204	15,2809	16,5182
16,4063	0	15,9458	15,5698	15,6204	15,2809
17,55	0	16,4063	15,9458	15,5698	15,6204
17,0353	0	17,55	16,4063	15,9458	15,5698
16,0591	0	17,0353	17,55	16,4063	15,9458
16,3643	0	16,0591	17,0353	17,55	16,4063
14,6527	0	16,3643	16,0591	17,0353	17,55
13,4664	0	14,6527	16,3643	16,0591	17,0353
13,3266	0	13,4664	14,6527	16,3643	16,0591
13,1823	0	13,3266	13,4664	14,6527	16,3643
12,113	0	13,1823	13,3266	13,4664	14,6527
13,354	0	12,113	13,1823	13,3266	13,4664
13,4537	0	13,354	12,113	13,1823	13,3266
13,2715	0	13,4537	13,354	12,113	13,1823
13,1959	0	13,2715	13,4537	13,354	12,113
13,5542	0	13,1959	13,2715	13,4537	13,354
12,124	0	13,5542	13,1959	13,2715	13,4537
10,967	0	12,124	13,5542	13,1959	13,2715
10,9201	0	10,967	12,124	13,5542	13,1959
12,5971	0	10,9201	10,967	12,124	13,5542
14,3177	0	12,5971	10,9201	10,967	12,124
14,2471	0	14,3177	12,5971	10,9201	10,967
16,0926	0	14,2471	14,3177	12,5971	10,9201
17,1334	0	16,0926	14,2471	14,3177	12,5971
16,5866	0	17,1334	16,0926	14,2471	14,3177
16,361	0	16,5866	17,1334	16,0926	14,2471
15,8494	0	16,361	16,5866	17,1334	16,0926
15,5932	0	15,8494	16,361	16,5866	17,1334
16,6387	0	15,5932	15,8494	16,361	16,5866
16,8312	0	16,6387	15,5932	15,8494	16,361
16,5044	0	16,8312	16,6387	15,5932	15,8494
16,5556	0	16,5044	16,8312	16,6387	15,5932
16,7469	0	16,5556	16,5044	16,8312	16,6387
15,9543	0	16,7469	16,5556	16,5044	16,8312
15,5888	0	15,9543	16,7469	16,5556	16,5044
14,3945	0	15,5888	15,9543	16,7469	16,5556
13,8889	0	14,3945	15,5888	15,9543	16,7469
12,9999	0	13,8889	14,3945	15,5888	15,9543
14,1022	0	12,9999	13,8889	14,3945	15,5888
19,6245	0	14,1022	12,9999	13,8889	14,3945
24,7658	0	19,6245	14,1022	12,9999	13,8889
25,9843	0	24,7658	19,6245	14,1022	12,9999
22,9635	0	25,9843	24,7658	19,6245	14,1022
19,6288	0	22,9635	25,9843	24,7658	19,6245
17,3363	0	19,6288	22,9635	25,9843	24,7658
13,311	0	17,3363	19,6288	22,9635	25,9843
14,6359	0	13,311	17,3363	19,6288	22,9635
15,834	0	14,6359	13,311	17,3363	19,6288
16,2415	0	15,834	14,6359	13,311	17,3363
15,9808	0	16,2415	15,834	14,6359	13,311
16,9726	0	15,9808	16,2415	15,834	14,6359
16,8708	0	16,9726	15,9808	16,2415	15,834
16,923	0	16,8708	16,9726	15,9808	16,2415
18,1138	0	16,923	16,8708	16,9726	15,9808
16,7716	0	18,1138	16,923	16,8708	16,9726
14,0299	0	16,7716	18,1138	16,923	16,8708
13,822	0	14,0299	16,7716	18,1138	16,923
14,2537	0	13,822	14,0299	16,7716	18,1138
14,3985	0	14,2537	13,822	14,0299	16,7716
15,2454	0	14,3985	14,2537	13,822	14,0299
15,6683	0	15,2454	14,3985	14,2537	13,822
16,1721	0	15,6683	15,2454	14,3985	14,2537
14,8679	0	16,1721	15,6683	15,2454	14,3985
14,1948	0	14,8679	16,1721	15,6683	15,2454
14,7056	0	14,1948	14,8679	16,1721	15,6683
15,3819	0	14,7056	14,1948	14,8679	16,1721
15,5001	0	15,3819	14,7056	14,1948	14,8679
14,7886	0	15,5001	15,3819	14,7056	14,1948
14,563	0	14,7886	15,5001	15,3819	14,7056
15,5528	0	14,563	14,7886	15,5001	15,3819
15,9781	0	15,5528	14,563	14,7886	15,5001
15,5139	0	15,9781	15,5528	14,563	14,7886
15,3603	0	15,5139	15,9781	15,5528	14,563
15,0512	0	15,3603	15,5139	15,9781	15,5528
14,7874	0	15,0512	15,3603	15,5139	15,9781
14,9624	0	14,7874	15,0512	15,3603	15,5139
13,9188	0	14,9624	14,7874	15,0512	15,3603
14,5146	0	13,9188	14,9624	14,7874	15,0512
13,7115	0	14,5146	13,9188	14,9624	14,7874
12,0738	0	13,7115	14,5146	13,9188	14,9624
12,5688	0	12,0738	13,7115	14,5146	13,9188
12,2547	0	12,5688	12,0738	13,7115	14,5146
11,8741	0	12,2547	12,5688	12,0738	13,7115
13,0261	0	11,8741	12,2547	12,5688	12,0738
13,8681	0	13,0261	11,8741	12,2547	12,5688
14,2137	0	13,8681	13,0261	11,8741	12,2547
14,4743	0	14,2137	13,8681	13,0261	11,8741
13,9764	0	14,4743	14,2137	13,8681	13,0261
13,1558	0	13,9764	14,4743	14,2137	13,8681
13,0991	0	13,1558	13,9764	14,4743	14,2137
13,7831	0	13,0991	13,1558	13,9764	14,4743
13,2546	0	13,7831	13,0991	13,1558	13,9764
13,3426	0	13,2546	13,7831	13,0991	13,1558
13,5011	0	13,3426	13,2546	13,7831	13,0991
12,8245	0	13,5011	13,3426	13,2546	13,7831
13,6596	0	12,8245	13,5011	13,3426	13,2546
13,8754	0	13,6596	12,8245	13,5011	13,3426
12,9011	0	13,8754	13,6596	12,8245	13,5011
11,871	0	12,9011	13,8754	13,6596	12,8245
12,3954	0	11,871	12,9011	13,8754	13,6596
12,8179	0	12,3954	11,871	12,9011	13,8754
12,1219	0	12,8179	12,3954	11,871	12,9011
12,6176	0	12,1219	12,8179	12,3954	11,871
13,6362	0	12,6176	12,1219	12,8179	12,3954
13,5422	0	13,6362	12,6176	12,1219	12,8179
13,362	0	13,5422	13,6362	12,6176	12,1219
14,5735	0	13,362	13,5422	13,6362	12,6176
15,8357	0	14,5735	13,362	13,5422	13,6362
14,9927	0	15,8357	14,5735	13,362	13,5422
14,5078	0	14,9927	15,8357	14,5735	13,362
15,2648	0	14,5078	14,9927	15,8357	14,5735
15,7163	0	15,2648	14,5078	14,9927	15,8357
17,7969	0	15,7163	15,2648	14,5078	14,9927
19,0408	0	17,7969	15,7163	15,2648	14,5078
17,8571	0	19,0408	17,7969	15,7163	15,2648
18,815	0	17,8571	19,0408	17,7969	15,7163
19,0961	0	18,815	17,8571	19,0408	17,7969
17,6215	0	19,0961	18,815	17,8571	19,0408
17,0163	0	17,6215	19,0961	18,815	17,8571
15,8286	0	17,0163	17,6215	19,0961	18,815
16,7818	0	15,8286	17,0163	17,6215	19,0961
15,8726	0	16,7818	15,8286	17,0163	17,6215
16,6621	0	15,8726	16,7818	15,8286	17,0163
17,5709	0	16,6621	15,8726	16,7818	15,8286
16,9914	0	17,5709	16,6621	15,8726	16,7818
18,0412	0	16,9914	17,5709	16,6621	15,8726
16,9764	0	18,0412	16,9914	17,5709	16,6621
15,7649	0	16,9764	18,0412	16,9914	17,5709
14,3928	0	15,7649	16,9764	18,0412	16,9914
13,5061	0	14,3928	15,7649	16,9764	18,0412
12,7433	0	13,5061	14,3928	15,7649	16,9764
13,017	0	12,7433	13,5061	14,3928	15,7649
13,0171	0	13,017	12,7433	13,5061	14,3928
12,2412	0	13,0171	13,017	12,7433	13,5061
11,8878	0	12,2412	13,0171	13,017	12,7433
11,2511	0	11,8878	12,2412	13,0171	13,017
11,8583	0	11,2511	11,8878	12,2412	13,0171
11,1202	0	11,8583	11,2511	11,8878	12,2412
10,185	0	11,1202	11,8583	11,2511	11,8878
8,7563	0	10,185	11,1202	11,8583	11,2511
9,5267	0	8,7563	10,185	11,1202	11,8583
9,4106	0	9,5267	8,7563	10,185	11,1202
11,878	0	9,4106	9,5267	8,7563	10,185
14,4228	0	11,878	9,4106	9,5267	8,7563
14,896	0	14,4228	11,878	9,4106	9,5267
15,6664	0	14,896	14,4228	11,878	9,4106
18,147	0	15,6664	14,896	14,4228	11,878
19,3069	0	18,147	15,6664	14,896	14,4228
21,6807	0	19,3069	18,147	15,6664	14,896
20,7934	0	21,6807	19,3069	18,147	15,6664
23,4241	0	20,7934	21,6807	19,3069	18,147
24,8273	0	23,4241	20,7934	21,6807	19,3069
24,9276	0	24,8273	23,4241	20,7934	21,6807
27,4256	0	24,9276	24,8273	23,4241	20,7934
28,1746	0	27,4256	24,9276	24,8273	23,4241
24,5615	0	28,1746	27,4256	24,9276	24,8273
30,2532	0	24,5615	28,1746	27,4256	24,9276
31,2514	0	30,2532	24,5615	28,1746	27,4256
30,4733	0	31,2514	30,2532	24,5615	28,1746
33,3047	0	30,4733	31,2514	30,2532	24,5615
37,2103	0	33,3047	30,4733	31,2514	30,2532
36,7711	0	37,2103	33,3047	30,4733	31,2514
37,7163	0	36,7711	37,2103	33,3047	30,4733
28,8488	0	37,7163	36,7711	37,2103	33,3047
27,4682	0	28,8488	37,7163	36,7711	37,2103
29,8793	0	27,4682	28,8488	37,7163	36,7711
28,0598	0	29,8793	27,4682	28,8488	37,7163
29,7733	0	28,0598	29,8793	27,4682	28,8488
32,6926	0	29,7733	28,0598	29,8793	27,4682
32,4803	0	32,6926	29,7733	28,0598	29,8793
29,4168	0	32,4803	32,6926	29,7733	28,0598
28,7054	0	29,4168	32,4803	32,6926	29,7733
28,7614	0	28,7054	29,4168	32,4803	32,6926
23,8075	0	28,7614	28,7054	29,4168	32,4803
21,6987	0	23,8075	28,7614	28,7054	29,4168
21,4691	0	21,6987	23,8075	28,7614	28,7054
22,5709	0	21,4691	21,6987	23,8075	28,7614
23,4546	0	22,5709	21,4691	21,6987	23,8075
27,8976	0	23,4546	22,5709	21,4691	21,6987
29,2965	0	27,8976	23,4546	22,5709	21,4691
28,1191	0	29,2965	27,8976	23,4546	22,5709
25,812	0	28,1191	29,2965	27,8976	23,4546
25,931	0	25,812	28,1191	29,2965	27,8976
26,9925	0	25,931	25,812	28,1191	29,2965
28,9213	0	26,9925	25,931	25,812	28,1191
27,8898	0	28,9213	26,9925	25,931	25,812
24,2473	0	27,8898	28,9213	26,9925	25,931
27,1056	0	24,2473	27,8898	28,9213	26,9925
28,2833	0	27,1056	24,2473	27,8898	28,9213
29,8076	0	28,2833	27,1056	24,2473	27,8898
27,1826	0	29,8076	28,2833	27,1056	24,2473
22,8764	0	27,1826	29,8076	28,2833	27,1056
21,938	0	22,8764	27,1826	29,8076	28,2833
23,3076	0	21,938	22,8764	27,1826	29,8076
24,9572	0	23,3076	21,938	22,8764	27,1826
26,4694	0	24,9572	23,3076	21,938	22,8764
23,9297	0	26,4694	24,9572	23,3076	21,938
24,7033	0	23,9297	26,4694	24,9572	23,3076
24,646	0	24,7033	23,9297	26,4694	24,9572
24,0496	0	24,646	24,7033	23,9297	26,4694
24,2096	0	24,0496	24,646	24,7033	23,9297
24,0717	0	24,2096	24,0496	24,646	24,7033
26,6673	0	24,0717	24,2096	24,0496	24,646
27,6457	0	26,6673	24,0717	24,2096	24,0496
30,8791	0	27,6457	26,6673	24,0717	24,2096
29,3278	0	30,8791	27,6457	26,6673	24,0717
30,7268	0	29,3278	30,8791	27,6457	26,6673
34,1204	0	30,7268	29,3278	30,8791	27,6457
35,0205	0	34,1204	30,7268	29,3278	30,8791
39,3565	0	35,0205	34,1204	30,7268	29,3278
34,4724	0	39,3565	35,0205	34,1204	30,7268
29,9762	0	34,4724	39,3565	35,0205	34,1204
33,6008	0	29,9762	34,4724	39,3565	35,0205
35,2464	0	33,6008	29,9762	34,4724	39,3565
40,4137	0	35,2464	33,6008	29,9762	34,4724
41,3922	0	40,4137	35,2464	33,6008	29,9762
39,4243	0	41,3922	40,4137	35,2464	33,6008
45,7259	0	39,4243	41,3922	40,4137	35,2464
48,2549	0	45,7259	39,4243	41,3922	40,4137
52,0461	0	48,2549	45,7259	39,4243	41,3922
52,1871	0	52,0461	48,2549	45,7259	39,4243
49,3474	0	52,1871	52,0461	48,2549	45,7259
47,8653	0	49,3474	52,1871	52,0461	48,2549
48,5179	0	47,8653	49,3474	52,1871	52,0461
52,4815	0	48,5179	47,8653	49,3474	52,1871
51,8171	0	52,4815	48,5179	47,8653	49,3474
52,5811	0	51,8171	52,4815	48,5179	47,8653
57,5617	0	52,5811	51,8171	52,4815	48,5179
55,7091	0	57,5617	52,5811	51,8171	52,4815
55,4378	0	55,7091	57,5617	52,5811	51,8171
58,7493	0	55,4378	55,7091	57,5617	52,5811
57,794	0	58,7493	55,4378	55,7091	57,5617
50,282	0	57,794	58,7493	55,4378	55,7091
47,6976	0	50,282	57,794	58,7493	55,4378
46,7381	0	47,6976	50,282	57,794	58,7493
47,4282	0	46,7381	47,6976	50,282	57,794
42,2269	0	47,4282	46,7381	47,6976	50,282
44,9066	0	42,2269	47,4282	46,7381	47,6976
47,2648	0	44,9066	42,2269	47,4282	46,7381
50,2325	0	47,2648	44,9066	42,2269	47,4282
50,2504	0	50,2325	47,2648	44,9066	42,2269
52,5685	0	50,2504	50,2325	47,2648	44,9066
55,2325	0	52,5685	50,2504	50,2325	47,2648
52,3674	0	55,2325	52,5685	50,2504	50,2325
55,1692	0	52,3674	55,2325	52,5685	50,2504
57,7252	0	55,1692	52,3674	55,2325	52,5685
62,8232	0	57,7252	55,1692	52,3674	55,2325
62,7599	0	62,8232	57,7252	55,1692	52,3674
62,4387	0	62,7599	62,8232	57,7252	55,1692
64,0862	1	62,4387	62,7599	62,8232	57,7252
66,1209	1	64,0862	62,4387	62,7599	62,8232
69,8474	1	66,1209	64,0862	62,4387	62,7599
80,1039	1	69,8474	66,1209	64,0862	62,4387
85,9319	1	80,1039	69,8474	66,1209	64,0862
85,2843	1	85,9319	80,1039	69,8474	66,1209
77,0383	1	85,2843	85,9319	80,1039	69,8474
69,9981	1	77,0383	85,2843	85,9319	80,1039
55,2039	1	69,9981	77,0383	85,2843	85,9319
43,1188	1	55,2039	69,9981	77,0383	85,2843
32,077	1	43,1188	55,2039	69,9981	77,0383
34,2974	1	32,077	43,1188	55,2039	69,9981
34,5613	1	34,2974	32,077	43,1188	55,2039
36,5235	1	34,5613	34,2974	32,077	43,1188
39,0474	1	36,5235	34,5613	34,2974	32,077
42,8033	1	39,0474	36,5235	34,5613	34,2974
49,5164	1	42,8033	39,0474	36,5235	34,5613
46,459	0	49,5164	42,8033	39,0474	36,5235
51,1313	0	46,459	49,5164	42,8033	39,0474
46,9331	0	51,1313	46,459	49,5164	42,8033
49,7654	0	46,9331	51,1313	46,459	49,5164
52,0729	0	49,7654	46,9331	51,1313	46,459
51,6425	0	52,0729	49,7654	46,9331	51,1313
53,9784	0	51,6425	52,0729	49,7654	46,9331
54,4891	0	53,9784	51,6425	52,0729	49,7654
59,0665	0	54,4891	53,9784	51,6425	52,0729
63,9929	0	59,0665	54,4891	53,9784	51,6425
61,6167	0	63,9929	59,0665	54,4891	53,9784
62,1816	0	61,6167	63,9929	59,0665	54,4891
58,9178	0	62,1816	61,6167	63,9929	59,0665
59,9151	0	58,9178	62,1816	61,6167	63,9929




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time11 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 11 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108379&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]11 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108379&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108379&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time11 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk







Multiple Linear Regression - Estimated Regression Equation
Prijs[t] = + 0.661625634076359 + 0.0186165752279153Crisis[t] + 1.27491177408209`1`[t] -0.241331945276682`2`[t] -0.0900126281803489`3`[t] + 0.00689405840870922`4`[t] -0.111842600882872M1[t] -0.301474301122538M2[t] -0.680435234824421M3[t] + 0.00209725839635172M4[t] -0.888811409648947M5[t] -1.10179193392374M6[t] -1.32154900924288M7[t] -1.45903436067523M8[t] + 0.097912846691725M9[t] -0.477649825427485M10[t] + 0.203399810894763M11[t] + 0.00850067172102355t + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Prijs[t] =  +  0.661625634076359 +  0.0186165752279153Crisis[t] +  1.27491177408209`1`[t] -0.241331945276682`2`[t] -0.0900126281803489`3`[t] +  0.00689405840870922`4`[t] -0.111842600882872M1[t] -0.301474301122538M2[t] -0.680435234824421M3[t] +  0.00209725839635172M4[t] -0.888811409648947M5[t] -1.10179193392374M6[t] -1.32154900924288M7[t] -1.45903436067523M8[t] +  0.097912846691725M9[t] -0.477649825427485M10[t] +  0.203399810894763M11[t] +  0.00850067172102355t  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108379&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Prijs[t] =  +  0.661625634076359 +  0.0186165752279153Crisis[t] +  1.27491177408209`1`[t] -0.241331945276682`2`[t] -0.0900126281803489`3`[t] +  0.00689405840870922`4`[t] -0.111842600882872M1[t] -0.301474301122538M2[t] -0.680435234824421M3[t] +  0.00209725839635172M4[t] -0.888811409648947M5[t] -1.10179193392374M6[t] -1.32154900924288M7[t] -1.45903436067523M8[t] +  0.097912846691725M9[t] -0.477649825427485M10[t] +  0.203399810894763M11[t] +  0.00850067172102355t  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108379&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108379&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
Prijs[t] = + 0.661625634076359 + 0.0186165752279153Crisis[t] + 1.27491177408209`1`[t] -0.241331945276682`2`[t] -0.0900126281803489`3`[t] + 0.00689405840870922`4`[t] -0.111842600882872M1[t] -0.301474301122538M2[t] -0.680435234824421M3[t] + 0.00209725839635172M4[t] -0.888811409648947M5[t] -1.10179193392374M6[t] -1.32154900924288M7[t] -1.45903436067523M8[t] + 0.097912846691725M9[t] -0.477649825427485M10[t] + 0.203399810894763M11[t] + 0.00850067172102355t + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)0.6616256340763590.5574291.18690.2362860.118143
Crisis0.01861657522791530.7378150.02520.9798880.489944
`1`1.274911774082090.06049221.075700
`2`-0.2413319452766820.098076-2.46070.0144860.007243
`3`-0.09001262818034890.097819-0.92020.3582820.179141
`4`0.006894058408709220.0604720.1140.9093190.454659
M1-0.1118426008828720.689448-0.16220.8712520.435626
M2-0.3014743011225380.689053-0.43750.6620790.33104
M3-0.6804352348244210.690774-0.9850.3254770.162738
M40.002097258396351720.6925860.0030.9975860.498793
M5-0.8888114096489470.696948-1.27530.2032870.101643
M6-1.101791933923740.701067-1.57160.1171990.058599
M7-1.321549009242880.702553-1.88110.0610230.030512
M8-1.459034360675230.705661-2.06760.0396150.019808
M90.0979128466917250.7085560.13820.8901950.445097
M10-0.4776498254274850.700792-0.68160.4960770.248038
M110.2033998108947630.7015980.28990.7721050.386052
t0.008500671721023550.0029182.91370.0038670.001933

\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) & 0.661625634076359 & 0.557429 & 1.1869 & 0.236286 & 0.118143 \tabularnewline
Crisis & 0.0186165752279153 & 0.737815 & 0.0252 & 0.979888 & 0.489944 \tabularnewline
`1` & 1.27491177408209 & 0.060492 & 21.0757 & 0 & 0 \tabularnewline
`2` & -0.241331945276682 & 0.098076 & -2.4607 & 0.014486 & 0.007243 \tabularnewline
`3` & -0.0900126281803489 & 0.097819 & -0.9202 & 0.358282 & 0.179141 \tabularnewline
`4` & 0.00689405840870922 & 0.060472 & 0.114 & 0.909319 & 0.454659 \tabularnewline
M1 & -0.111842600882872 & 0.689448 & -0.1622 & 0.871252 & 0.435626 \tabularnewline
M2 & -0.301474301122538 & 0.689053 & -0.4375 & 0.662079 & 0.33104 \tabularnewline
M3 & -0.680435234824421 & 0.690774 & -0.985 & 0.325477 & 0.162738 \tabularnewline
M4 & 0.00209725839635172 & 0.692586 & 0.003 & 0.997586 & 0.498793 \tabularnewline
M5 & -0.888811409648947 & 0.696948 & -1.2753 & 0.203287 & 0.101643 \tabularnewline
M6 & -1.10179193392374 & 0.701067 & -1.5716 & 0.117199 & 0.058599 \tabularnewline
M7 & -1.32154900924288 & 0.702553 & -1.8811 & 0.061023 & 0.030512 \tabularnewline
M8 & -1.45903436067523 & 0.705661 & -2.0676 & 0.039615 & 0.019808 \tabularnewline
M9 & 0.097912846691725 & 0.708556 & 0.1382 & 0.890195 & 0.445097 \tabularnewline
M10 & -0.477649825427485 & 0.700792 & -0.6816 & 0.496077 & 0.248038 \tabularnewline
M11 & 0.203399810894763 & 0.701598 & 0.2899 & 0.772105 & 0.386052 \tabularnewline
t & 0.00850067172102355 & 0.002918 & 2.9137 & 0.003867 & 0.001933 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108379&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]0.661625634076359[/C][C]0.557429[/C][C]1.1869[/C][C]0.236286[/C][C]0.118143[/C][/ROW]
[ROW][C]Crisis[/C][C]0.0186165752279153[/C][C]0.737815[/C][C]0.0252[/C][C]0.979888[/C][C]0.489944[/C][/ROW]
[ROW][C]`1`[/C][C]1.27491177408209[/C][C]0.060492[/C][C]21.0757[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]`2`[/C][C]-0.241331945276682[/C][C]0.098076[/C][C]-2.4607[/C][C]0.014486[/C][C]0.007243[/C][/ROW]
[ROW][C]`3`[/C][C]-0.0900126281803489[/C][C]0.097819[/C][C]-0.9202[/C][C]0.358282[/C][C]0.179141[/C][/ROW]
[ROW][C]`4`[/C][C]0.00689405840870922[/C][C]0.060472[/C][C]0.114[/C][C]0.909319[/C][C]0.454659[/C][/ROW]
[ROW][C]M1[/C][C]-0.111842600882872[/C][C]0.689448[/C][C]-0.1622[/C][C]0.871252[/C][C]0.435626[/C][/ROW]
[ROW][C]M2[/C][C]-0.301474301122538[/C][C]0.689053[/C][C]-0.4375[/C][C]0.662079[/C][C]0.33104[/C][/ROW]
[ROW][C]M3[/C][C]-0.680435234824421[/C][C]0.690774[/C][C]-0.985[/C][C]0.325477[/C][C]0.162738[/C][/ROW]
[ROW][C]M4[/C][C]0.00209725839635172[/C][C]0.692586[/C][C]0.003[/C][C]0.997586[/C][C]0.498793[/C][/ROW]
[ROW][C]M5[/C][C]-0.888811409648947[/C][C]0.696948[/C][C]-1.2753[/C][C]0.203287[/C][C]0.101643[/C][/ROW]
[ROW][C]M6[/C][C]-1.10179193392374[/C][C]0.701067[/C][C]-1.5716[/C][C]0.117199[/C][C]0.058599[/C][/ROW]
[ROW][C]M7[/C][C]-1.32154900924288[/C][C]0.702553[/C][C]-1.8811[/C][C]0.061023[/C][C]0.030512[/C][/ROW]
[ROW][C]M8[/C][C]-1.45903436067523[/C][C]0.705661[/C][C]-2.0676[/C][C]0.039615[/C][C]0.019808[/C][/ROW]
[ROW][C]M9[/C][C]0.097912846691725[/C][C]0.708556[/C][C]0.1382[/C][C]0.890195[/C][C]0.445097[/C][/ROW]
[ROW][C]M10[/C][C]-0.477649825427485[/C][C]0.700792[/C][C]-0.6816[/C][C]0.496077[/C][C]0.248038[/C][/ROW]
[ROW][C]M11[/C][C]0.203399810894763[/C][C]0.701598[/C][C]0.2899[/C][C]0.772105[/C][C]0.386052[/C][/ROW]
[ROW][C]t[/C][C]0.00850067172102355[/C][C]0.002918[/C][C]2.9137[/C][C]0.003867[/C][C]0.001933[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108379&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108379&T=2

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)0.6616256340763590.5574291.18690.2362860.118143
Crisis0.01861657522791530.7378150.02520.9798880.489944
`1`1.274911774082090.06049221.075700
`2`-0.2413319452766820.098076-2.46070.0144860.007243
`3`-0.09001262818034890.097819-0.92020.3582820.179141
`4`0.006894058408709220.0604720.1140.9093190.454659
M1-0.1118426008828720.689448-0.16220.8712520.435626
M2-0.3014743011225380.689053-0.43750.6620790.33104
M3-0.6804352348244210.690774-0.9850.3254770.162738
M40.002097258396351720.6925860.0030.9975860.498793
M5-0.8888114096489470.696948-1.27530.2032870.101643
M6-1.101791933923740.701067-1.57160.1171990.058599
M7-1.321549009242880.702553-1.88110.0610230.030512
M8-1.459034360675230.705661-2.06760.0396150.019808
M90.0979128466917250.7085560.13820.8901950.445097
M10-0.4776498254274850.700792-0.68160.4960770.248038
M110.2033998108947630.7015980.28990.7721050.386052
t0.008500671721023550.0029182.91370.0038670.001933







Multiple Linear Regression - Regression Statistics
Multiple R0.990086226149054
R-squared0.980270735210076
Adjusted R-squared0.979046656737709
F-TEST (value)800.823441747244
F-TEST (DF numerator)17
F-TEST (DF denominator)274
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.40437877940115
Sum Squared Residuals1584.00422426467

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.990086226149054 \tabularnewline
R-squared & 0.980270735210076 \tabularnewline
Adjusted R-squared & 0.979046656737709 \tabularnewline
F-TEST (value) & 800.823441747244 \tabularnewline
F-TEST (DF numerator) & 17 \tabularnewline
F-TEST (DF denominator) & 274 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.40437877940115 \tabularnewline
Sum Squared Residuals & 1584.00422426467 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108379&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.990086226149054[/C][/ROW]
[ROW][C]R-squared[/C][C]0.980270735210076[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.979046656737709[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]800.823441747244[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]17[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]274[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.40437877940115[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1584.00422426467[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108379&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108379&T=3

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Regression Statistics
Multiple R0.990086226149054
R-squared0.980270735210076
Adjusted R-squared0.979046656737709
F-TEST (value)800.823441747244
F-TEST (DF numerator)17
F-TEST (DF denominator)274
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.40437877940115
Sum Squared Residuals1584.00422426467







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
114.275412.01610910287562.25929089712439
212.296114.4628439946977-2.16674399469775
310.087111.1990931509317-1.11199315093172
413.51179.392083982193954.11961601780605
513.992113.59881469973640.393285300263597
613.693213.36552956949920.327670430500822
714.421112.33377994862572.08732005137425
815.339713.18530499356062.15439500643941
916.518215.77643798557610.74176201442386
1015.280916.4225911598917-1.1416911598917
1115.620415.17261601722390.447783982776142
1215.569815.6094024409855-0.0396024409855272
1315.945815.47911505331590.466684946684097
1416.406315.75047294254680.655827057453202
1517.5515.88326391292241.66673608707761
1617.035317.8870867255307-0.851786725530675
1716.059116.0336116439580.0254883560419734
1816.364314.60900374082661.75529625917342
1914.652715.0766528899839-0.423952889983881
2013.466412.77619666382190.690203336178111
2113.326613.20807862891260.118521371087368
2213.182312.90524573019930.277054269800679
2312.11313.5395465856302-1.42654658563023
2413.35412.02061383006331.33338616993671
2513.453713.7695186945026-0.315818694502564
2613.271513.5112591164564-0.239759116456415
2713.195912.76537164606550.430528353934532
2813.554213.40357342877170.150626571228304
2912.12413.0132986546418-0.889298654641758
3010.96710.90451960405150.0624803959484841
3110.92019.530570510482421.38952948951758
3212.59719.752219731203132.84488026879687
3314.317713.56129785212880.756402147871219
3414.247114.77938054467-0.53228054467003
3516.092614.81241182762221.28018817237777
3617.133416.84408601075780.28931398924218
3716.586617.6405109595001-1.05391095950006
3816.36116.34447485843890.0165251415611361
3915.849415.73739264928550.112007350714458
4015.593215.8870196785422-0.293819678542157
4116.638714.81798188668121.82071811331879
4216.831216.05274669931020.778453300689787
4316.504415.8541324984940.650267501505962
4416.555615.16617579102011.38942420897995
4516.746916.865646739799-0.118746739799041
4615.954316.5608623993176-0.60656239931761
4715.588816.1868892092412-0.598089209241184
4814.394515.7004230764864-1.30592307648637
4913.888914.2353236840062-0.346423684006235
5012.999913.7252553896608-0.725355389660801
5114.102212.44839829554031.65380170445974
5219.624514.79658761925424.82791238074582
5324.765820.76514030018584.00065969981416
5425.984325.67730721235040.306992787649639
5522.963525.2892934592039-2.32579345920385
5619.628820.5902814505125-0.961481450512484
5717.336318.5590606119197-1.22276061191966
5813.31116.1543435647306-2.84334356473064
5914.635912.544584532662.09131546733995
6015.83415.19361381581780.640386184182174
6116.241516.644526192199-0.403026192199047
6215.980816.5467735235941-0.56597352359414
6316.972615.64689080257271.32570919742734
6416.870817.6368763285787-0.766076328578684
6516.92316.41160491129560.511395088704394
6618.113816.20717123972171.90662876027834
6716.771617.5174830618356-0.745883061835586
6814.029915.3845332441788-1.35463324417877
6913.82213.6716440814280.150355918571978
7014.253713.630212111860.623487888139996
7114.398515.1578491616834-0.75934916168343
7215.245415.04318643208040.202213567919631
7315.668315.944330692384-0.276030692383954
7416.172116.08791816512430.0841818348756693
7514.867916.1824657401202-1.31456574012016
7614.194815.0569481728826-0.862148172882569
7714.705613.58870931967731.11689068032273
7815.381914.31876262998951.06313737001051
7915.500114.89805297060730.60204702939268
8014.788614.70593122681240.082668773187557
8114.56315.2783998873061-0.715399887306113
8215.552814.58944842879030.96335157120974
8315.978116.6602097603286-0.682109760328631
8415.513916.7840619655968-1.27016196559683
8515.360315.89561771563-0.535317715629993
8615.051215.5992278958576-0.548027895857615
8714.787414.916476896345-0.129076896345021
8814.962415.3564097573442-0.394009757344163
8913.918814.7875386646472-0.868738664647212
9014.514613.23194217209781.28265782790221
9113.711514.0145613590488-0.303061359048762
9212.073812.8130530995668-0.739253099566786
9312.568812.42356748826710.145232511732949
9412.254712.9592127645107-0.704512764510669
9511.874113.2707310342657-1.39663103426572
9613.026112.61055618748250.41554381251747
9713.868114.0994490858593-0.231349085859312
9814.213714.7458727526983-0.53217275269832
9914.474314.5065020756231-0.0322020756231481
10013.976415.3785242509621-1.40212425096209
10113.155813.7731430102642-0.617343010264248
10213.099112.62155502713420.477544972865776
10313.783112.5826619994321.20043800056799
10413.254613.4098323054931-0.15523230549311
10513.342614.1358647130971-0.793264713097096
10613.501113.7465793511097-0.245479351109728
10712.824514.6692531741055-1.84475317410553
10813.659613.56193299411260.0976670058873757
10913.875414.6728947572343-0.797494757234313
11012.901114.6273486345466-1.72624863454664
11111.87112.8828283315741-1.01182833157414
11212.395412.4820370953328-0.086637095332842
11312.817912.60597591160740.211924088392559
11412.121912.8995969386812-0.777696938681233
11512.617611.6447350016580.972864998341998
11613.636212.28127603109511.35492396890494
11713.542215.0912823268806-1.54908232688061
11813.36214.1091403758184-0.74714037581842
11914.573514.50336730671680.0701326932831996
12015.835715.9119952733264-0.0762952733264367
12114.992717.141045567816-2.14834556781598
12214.507815.4702621240522-0.962462124052167
12315.264814.57977818516010.685021814839939
12415.716316.4375237494262-0.721223749426169
12517.796915.98588556869161.81101443130838
12619.040818.25354329154570.78725670845428
12717.857119.0906124989776-1.23351249897762
12818.81516.96815433873511.84684566126486
12919.096119.942881899572-0.846781899572
13017.621519.6181491957194-1.99664919571942
13117.016318.2654925984116-1.24919259841162
13215.828617.6361862088366-1.80758620883661
13316.781816.29935620021230.482443799787665
13415.872617.6644106901991-1.79181069019912
13516.662116.00749874732590.654601252674056
13617.570917.8305056521976-0.259605652197574
13716.991418.0046168033799-1.01321680337993
13818.041216.76467005802451.27652994197545
13916.976417.955307279769-0.978907279769026
14015.764916.273873905176-0.508973905175969
14114.392816.4532460613825-2.06044606138253
14213.506114.5323340964729-1.0262340964729
14312.743314.5242612021986-1.78096120219862
14413.01713.686002572996-0.669002572996003
14513.017114.1860468641224-1.1689468641224
14612.241214.0015394445439-1.76033944454391
14711.887812.6119557597711-0.724155759771098
14811.251113.0415624626161-1.79046246261611
14911.858311.50254633680550.35575366319448
15011.120212.2523103259117-1.13211032591168
15110.18511.0083794648124-0.823379464812362
1528.75639.80617928796824-1.04987928796824
1539.52679.84647874377357-0.319778743773574
1549.410610.6854910297078-1.27489102970782
15511.87811.16325566859640.714744331403553
15614.422814.06289720964080.359902790359181
15714.89616.6242499701172-1.7282499701172
15815.666416.2093680998007-0.54296809980066
15918.14716.4948478555921.65215214440799
16019.306920.1374550608642-0.83055506086423
16121.680720.06908574753331.61161425246671
16220.793422.3930963981031-1.59969639810307
16323.424120.39043275952643.03366724047362
16424.827323.62381676051061.20348323948944
16524.927626.4395822133862-1.51198221338618
16627.425625.41884355933612.0067564406639
16728.174629.1607483645183-0.986148364518303
16824.561529.3185564209835-4.75705642098352
16930.253224.20391306273736.0492869372627
17031.251432.1009557296388-0.849555729638759
17130.473331.9599116442419-1.48661164424189
17233.304730.88080461174462.42389538825537
17337.210333.74535050597143.4649494940286
17436.771137.913779283507-1.14267928350695
17537.716335.93980956098171.77649043901828
17628.848836.7898309968555-7.94103099685554
17727.468226.88835074541290.579849254587074
17829.879326.61304876784883.26625123215119
17928.059831.5144249824276-3.45462498242756
18029.773328.48108678858141.2922132114186
18132.692630.77486227389541.91773772610456
18232.480334.0824591404264-1.60215914042644
18329.416832.5700343833001-3.15323438330006
18428.705429.15564920396-0.450249203960032
18528.761428.14482489158410.616575108415887
18623.807528.4577137220791-4.6502137220791
18721.698721.9600723276726-0.261372327672641
18821.469120.32814288215311.14095711784691
18922.570922.55609145012480.01480854987519
19023.454623.6048032114016-0.150203211401617
19127.897625.16122222595332.7363777740467
19229.296530.3167322694455-1.02023226944554
19328.119130.8526783022146-2.73357830221458
19425.81228.4390330650546-2.62703306505461
19525.93125.31607971740610.614920282593868
19626.992526.8312292811390.161270718860982
19728.921327.47297270161941.44832729838057
19827.889829.4447520340958-1.5549520340958
19924.247327.3582150676195-3.11091506761955
20027.105622.66799983813374.43760016186632
20128.283328.8627249375776-0.579424937577563
20229.807629.42808721122990.379512788770146
20327.182631.4943742016725-4.3117742016725
20422.876427.4986667862896-4.62226678628963
20521.93822.4097090153794-0.471709015379405
20623.307622.31821616301840.989383836981614
20724.957224.28985644041540.667343559584643
20826.469426.8082364915969-0.338836491596883
20923.929727.3258982231446-3.39619822314459
21024.703323.37954004125741.3237599587426
21124.64624.64272146992510.00327853007493407
21224.049624.4930202196081-0.443420219608069
21324.209625.2247964277969-1.01519642779693
21424.071725.0161416505946-0.944441650594601
21526.667325.54455701564761.12274298435238
21627.645728.6735849155912-1.02788491559121
21730.879129.20473125980261.67436874019741
21829.327832.6751933179828-3.3473933179828
21930.726829.47646557160481.25033442839525
22034.120432.04117686998392.07922313001614
22135.020535.3096139172974-0.289113917297383
22239.356535.29707564347024.05942435652978
22334.472440.1007917410695-5.62839174106946
22429.976232.6409704608348-2.66477046083476
22533.600829.26875996140444.33204003859563
22635.246434.8773431842530.369056815747044
22740.413737.16120004702643.25249995297363
22841.392242.7997598314-1.40755983139997
22939.424342.5737479355239-3.14944793552388
23045.725939.19379732725696.53210267274309
23148.254947.27978454728260.975115452717403
23252.046149.85817388967152.18792611032852
23352.187152.6180925263587-0.430992526358725
23449.347451.4942392248178-2.14683922481779
23547.865347.3047672498330.560532750166959
23648.517945.98499112842252.5329088715775
23752.481548.99670542985043.48479457014961
23851.817153.4392211682793-1.6221211682793
23952.581152.25621687020570.324883129794264
24057.561752.84341628033444.71828371966558
24155.709158.9926520070462-3.28355200704625
24255.437855.17429147888150.263508521118465
24358.749354.4619893791214.287310620879
24457.79459.6414601829665-1.84746018296654
24550.28256.7536067254953-6.47160672549526
24647.697646.90258685709410.795013142905878
24746.738145.31815277559781.41994722440217
24847.428245.25917749692072.16902250307927
24942.226948.1168404622988-5.8899404622988
25044.906640.82058678811964.08601321188043
25147.264846.11302546038781.15177453961219
25250.232548.75086632575881.48163367424116
25350.250451.5849061694528-1.33450616945284
25452.568550.51660147623562.05189852376443
25555.232552.84632144782262.38617855217744
25652.367456.3931362676683-4.02573626766827
25755.169251.0065353754654.16266462453503
25857.725254.84173096327142.88346903672862
25962.823257.48924616255125.33395383744879
26062.759962.9709677066007-0.211067706600685
26162.438763.0146469085893-0.575946908589304
26264.086261.63071296854912.45548703145089
26366.120964.5390399543471.58186004565307
26469.847466.5690850843293.27831491567105
26580.103970.57515359574159.52874640425847
26685.931982.39904095069213.5328590493079
26785.284386.6621406930615-1.37784069306151
26877.038384.2235346037636-7.18523460376354
26969.998172.5306059991534-2.53250599915339
27055.203965.438986245874-10.2350862458739
27143.118848.8032347750371-5.68443477503712
27232.07737.4139853784557-5.33698537845567
27334.297429.1017623961645.19563760383603
27434.561335.016073106206-0.454773106205948
27536.523536.41680523270380.106694767296177
27639.047438.38386362252650.663536377473495
27742.803341.01628321166251.78701678833754
27849.516444.83969218173354.6767078182665
27946.45951.8891515709957-5.4301515709957
28051.131346.74150547985724.38979452014281
28146.933151.9753456748054-5.04224567480537
28249.765445.6124410772864.15295892271397
28352.072949.58363316725532.48926683274465
28451.642552.123085062361-0.480585062361049
28553.978452.29905204735151.67934795264849
28654.489154.6257476313836-0.1366476313836
28759.066555.45731756642573.60918243357429
28863.992960.76172365657693.23117634342306
28961.616765.8045686267688-4.18786862676882
29062.181660.99659153686191.18500846313814
29158.917861.5079005559188-2.5901005559188
29259.915158.14939915315151.76570084684853

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 14.2754 & 12.0161091028756 & 2.25929089712439 \tabularnewline
2 & 12.2961 & 14.4628439946977 & -2.16674399469775 \tabularnewline
3 & 10.0871 & 11.1990931509317 & -1.11199315093172 \tabularnewline
4 & 13.5117 & 9.39208398219395 & 4.11961601780605 \tabularnewline
5 & 13.9921 & 13.5988146997364 & 0.393285300263597 \tabularnewline
6 & 13.6932 & 13.3655295694992 & 0.327670430500822 \tabularnewline
7 & 14.4211 & 12.3337799486257 & 2.08732005137425 \tabularnewline
8 & 15.3397 & 13.1853049935606 & 2.15439500643941 \tabularnewline
9 & 16.5182 & 15.7764379855761 & 0.74176201442386 \tabularnewline
10 & 15.2809 & 16.4225911598917 & -1.1416911598917 \tabularnewline
11 & 15.6204 & 15.1726160172239 & 0.447783982776142 \tabularnewline
12 & 15.5698 & 15.6094024409855 & -0.0396024409855272 \tabularnewline
13 & 15.9458 & 15.4791150533159 & 0.466684946684097 \tabularnewline
14 & 16.4063 & 15.7504729425468 & 0.655827057453202 \tabularnewline
15 & 17.55 & 15.8832639129224 & 1.66673608707761 \tabularnewline
16 & 17.0353 & 17.8870867255307 & -0.851786725530675 \tabularnewline
17 & 16.0591 & 16.033611643958 & 0.0254883560419734 \tabularnewline
18 & 16.3643 & 14.6090037408266 & 1.75529625917342 \tabularnewline
19 & 14.6527 & 15.0766528899839 & -0.423952889983881 \tabularnewline
20 & 13.4664 & 12.7761966638219 & 0.690203336178111 \tabularnewline
21 & 13.3266 & 13.2080786289126 & 0.118521371087368 \tabularnewline
22 & 13.1823 & 12.9052457301993 & 0.277054269800679 \tabularnewline
23 & 12.113 & 13.5395465856302 & -1.42654658563023 \tabularnewline
24 & 13.354 & 12.0206138300633 & 1.33338616993671 \tabularnewline
25 & 13.4537 & 13.7695186945026 & -0.315818694502564 \tabularnewline
26 & 13.2715 & 13.5112591164564 & -0.239759116456415 \tabularnewline
27 & 13.1959 & 12.7653716460655 & 0.430528353934532 \tabularnewline
28 & 13.5542 & 13.4035734287717 & 0.150626571228304 \tabularnewline
29 & 12.124 & 13.0132986546418 & -0.889298654641758 \tabularnewline
30 & 10.967 & 10.9045196040515 & 0.0624803959484841 \tabularnewline
31 & 10.9201 & 9.53057051048242 & 1.38952948951758 \tabularnewline
32 & 12.5971 & 9.75221973120313 & 2.84488026879687 \tabularnewline
33 & 14.3177 & 13.5612978521288 & 0.756402147871219 \tabularnewline
34 & 14.2471 & 14.77938054467 & -0.53228054467003 \tabularnewline
35 & 16.0926 & 14.8124118276222 & 1.28018817237777 \tabularnewline
36 & 17.1334 & 16.8440860107578 & 0.28931398924218 \tabularnewline
37 & 16.5866 & 17.6405109595001 & -1.05391095950006 \tabularnewline
38 & 16.361 & 16.3444748584389 & 0.0165251415611361 \tabularnewline
39 & 15.8494 & 15.7373926492855 & 0.112007350714458 \tabularnewline
40 & 15.5932 & 15.8870196785422 & -0.293819678542157 \tabularnewline
41 & 16.6387 & 14.8179818866812 & 1.82071811331879 \tabularnewline
42 & 16.8312 & 16.0527466993102 & 0.778453300689787 \tabularnewline
43 & 16.5044 & 15.854132498494 & 0.650267501505962 \tabularnewline
44 & 16.5556 & 15.1661757910201 & 1.38942420897995 \tabularnewline
45 & 16.7469 & 16.865646739799 & -0.118746739799041 \tabularnewline
46 & 15.9543 & 16.5608623993176 & -0.60656239931761 \tabularnewline
47 & 15.5888 & 16.1868892092412 & -0.598089209241184 \tabularnewline
48 & 14.3945 & 15.7004230764864 & -1.30592307648637 \tabularnewline
49 & 13.8889 & 14.2353236840062 & -0.346423684006235 \tabularnewline
50 & 12.9999 & 13.7252553896608 & -0.725355389660801 \tabularnewline
51 & 14.1022 & 12.4483982955403 & 1.65380170445974 \tabularnewline
52 & 19.6245 & 14.7965876192542 & 4.82791238074582 \tabularnewline
53 & 24.7658 & 20.7651403001858 & 4.00065969981416 \tabularnewline
54 & 25.9843 & 25.6773072123504 & 0.306992787649639 \tabularnewline
55 & 22.9635 & 25.2892934592039 & -2.32579345920385 \tabularnewline
56 & 19.6288 & 20.5902814505125 & -0.961481450512484 \tabularnewline
57 & 17.3363 & 18.5590606119197 & -1.22276061191966 \tabularnewline
58 & 13.311 & 16.1543435647306 & -2.84334356473064 \tabularnewline
59 & 14.6359 & 12.54458453266 & 2.09131546733995 \tabularnewline
60 & 15.834 & 15.1936138158178 & 0.640386184182174 \tabularnewline
61 & 16.2415 & 16.644526192199 & -0.403026192199047 \tabularnewline
62 & 15.9808 & 16.5467735235941 & -0.56597352359414 \tabularnewline
63 & 16.9726 & 15.6468908025727 & 1.32570919742734 \tabularnewline
64 & 16.8708 & 17.6368763285787 & -0.766076328578684 \tabularnewline
65 & 16.923 & 16.4116049112956 & 0.511395088704394 \tabularnewline
66 & 18.1138 & 16.2071712397217 & 1.90662876027834 \tabularnewline
67 & 16.7716 & 17.5174830618356 & -0.745883061835586 \tabularnewline
68 & 14.0299 & 15.3845332441788 & -1.35463324417877 \tabularnewline
69 & 13.822 & 13.671644081428 & 0.150355918571978 \tabularnewline
70 & 14.2537 & 13.63021211186 & 0.623487888139996 \tabularnewline
71 & 14.3985 & 15.1578491616834 & -0.75934916168343 \tabularnewline
72 & 15.2454 & 15.0431864320804 & 0.202213567919631 \tabularnewline
73 & 15.6683 & 15.944330692384 & -0.276030692383954 \tabularnewline
74 & 16.1721 & 16.0879181651243 & 0.0841818348756693 \tabularnewline
75 & 14.8679 & 16.1824657401202 & -1.31456574012016 \tabularnewline
76 & 14.1948 & 15.0569481728826 & -0.862148172882569 \tabularnewline
77 & 14.7056 & 13.5887093196773 & 1.11689068032273 \tabularnewline
78 & 15.3819 & 14.3187626299895 & 1.06313737001051 \tabularnewline
79 & 15.5001 & 14.8980529706073 & 0.60204702939268 \tabularnewline
80 & 14.7886 & 14.7059312268124 & 0.082668773187557 \tabularnewline
81 & 14.563 & 15.2783998873061 & -0.715399887306113 \tabularnewline
82 & 15.5528 & 14.5894484287903 & 0.96335157120974 \tabularnewline
83 & 15.9781 & 16.6602097603286 & -0.682109760328631 \tabularnewline
84 & 15.5139 & 16.7840619655968 & -1.27016196559683 \tabularnewline
85 & 15.3603 & 15.89561771563 & -0.535317715629993 \tabularnewline
86 & 15.0512 & 15.5992278958576 & -0.548027895857615 \tabularnewline
87 & 14.7874 & 14.916476896345 & -0.129076896345021 \tabularnewline
88 & 14.9624 & 15.3564097573442 & -0.394009757344163 \tabularnewline
89 & 13.9188 & 14.7875386646472 & -0.868738664647212 \tabularnewline
90 & 14.5146 & 13.2319421720978 & 1.28265782790221 \tabularnewline
91 & 13.7115 & 14.0145613590488 & -0.303061359048762 \tabularnewline
92 & 12.0738 & 12.8130530995668 & -0.739253099566786 \tabularnewline
93 & 12.5688 & 12.4235674882671 & 0.145232511732949 \tabularnewline
94 & 12.2547 & 12.9592127645107 & -0.704512764510669 \tabularnewline
95 & 11.8741 & 13.2707310342657 & -1.39663103426572 \tabularnewline
96 & 13.0261 & 12.6105561874825 & 0.41554381251747 \tabularnewline
97 & 13.8681 & 14.0994490858593 & -0.231349085859312 \tabularnewline
98 & 14.2137 & 14.7458727526983 & -0.53217275269832 \tabularnewline
99 & 14.4743 & 14.5065020756231 & -0.0322020756231481 \tabularnewline
100 & 13.9764 & 15.3785242509621 & -1.40212425096209 \tabularnewline
101 & 13.1558 & 13.7731430102642 & -0.617343010264248 \tabularnewline
102 & 13.0991 & 12.6215550271342 & 0.477544972865776 \tabularnewline
103 & 13.7831 & 12.582661999432 & 1.20043800056799 \tabularnewline
104 & 13.2546 & 13.4098323054931 & -0.15523230549311 \tabularnewline
105 & 13.3426 & 14.1358647130971 & -0.793264713097096 \tabularnewline
106 & 13.5011 & 13.7465793511097 & -0.245479351109728 \tabularnewline
107 & 12.8245 & 14.6692531741055 & -1.84475317410553 \tabularnewline
108 & 13.6596 & 13.5619329941126 & 0.0976670058873757 \tabularnewline
109 & 13.8754 & 14.6728947572343 & -0.797494757234313 \tabularnewline
110 & 12.9011 & 14.6273486345466 & -1.72624863454664 \tabularnewline
111 & 11.871 & 12.8828283315741 & -1.01182833157414 \tabularnewline
112 & 12.3954 & 12.4820370953328 & -0.086637095332842 \tabularnewline
113 & 12.8179 & 12.6059759116074 & 0.211924088392559 \tabularnewline
114 & 12.1219 & 12.8995969386812 & -0.777696938681233 \tabularnewline
115 & 12.6176 & 11.644735001658 & 0.972864998341998 \tabularnewline
116 & 13.6362 & 12.2812760310951 & 1.35492396890494 \tabularnewline
117 & 13.5422 & 15.0912823268806 & -1.54908232688061 \tabularnewline
118 & 13.362 & 14.1091403758184 & -0.74714037581842 \tabularnewline
119 & 14.5735 & 14.5033673067168 & 0.0701326932831996 \tabularnewline
120 & 15.8357 & 15.9119952733264 & -0.0762952733264367 \tabularnewline
121 & 14.9927 & 17.141045567816 & -2.14834556781598 \tabularnewline
122 & 14.5078 & 15.4702621240522 & -0.962462124052167 \tabularnewline
123 & 15.2648 & 14.5797781851601 & 0.685021814839939 \tabularnewline
124 & 15.7163 & 16.4375237494262 & -0.721223749426169 \tabularnewline
125 & 17.7969 & 15.9858855686916 & 1.81101443130838 \tabularnewline
126 & 19.0408 & 18.2535432915457 & 0.78725670845428 \tabularnewline
127 & 17.8571 & 19.0906124989776 & -1.23351249897762 \tabularnewline
128 & 18.815 & 16.9681543387351 & 1.84684566126486 \tabularnewline
129 & 19.0961 & 19.942881899572 & -0.846781899572 \tabularnewline
130 & 17.6215 & 19.6181491957194 & -1.99664919571942 \tabularnewline
131 & 17.0163 & 18.2654925984116 & -1.24919259841162 \tabularnewline
132 & 15.8286 & 17.6361862088366 & -1.80758620883661 \tabularnewline
133 & 16.7818 & 16.2993562002123 & 0.482443799787665 \tabularnewline
134 & 15.8726 & 17.6644106901991 & -1.79181069019912 \tabularnewline
135 & 16.6621 & 16.0074987473259 & 0.654601252674056 \tabularnewline
136 & 17.5709 & 17.8305056521976 & -0.259605652197574 \tabularnewline
137 & 16.9914 & 18.0046168033799 & -1.01321680337993 \tabularnewline
138 & 18.0412 & 16.7646700580245 & 1.27652994197545 \tabularnewline
139 & 16.9764 & 17.955307279769 & -0.978907279769026 \tabularnewline
140 & 15.7649 & 16.273873905176 & -0.508973905175969 \tabularnewline
141 & 14.3928 & 16.4532460613825 & -2.06044606138253 \tabularnewline
142 & 13.5061 & 14.5323340964729 & -1.0262340964729 \tabularnewline
143 & 12.7433 & 14.5242612021986 & -1.78096120219862 \tabularnewline
144 & 13.017 & 13.686002572996 & -0.669002572996003 \tabularnewline
145 & 13.0171 & 14.1860468641224 & -1.1689468641224 \tabularnewline
146 & 12.2412 & 14.0015394445439 & -1.76033944454391 \tabularnewline
147 & 11.8878 & 12.6119557597711 & -0.724155759771098 \tabularnewline
148 & 11.2511 & 13.0415624626161 & -1.79046246261611 \tabularnewline
149 & 11.8583 & 11.5025463368055 & 0.35575366319448 \tabularnewline
150 & 11.1202 & 12.2523103259117 & -1.13211032591168 \tabularnewline
151 & 10.185 & 11.0083794648124 & -0.823379464812362 \tabularnewline
152 & 8.7563 & 9.80617928796824 & -1.04987928796824 \tabularnewline
153 & 9.5267 & 9.84647874377357 & -0.319778743773574 \tabularnewline
154 & 9.4106 & 10.6854910297078 & -1.27489102970782 \tabularnewline
155 & 11.878 & 11.1632556685964 & 0.714744331403553 \tabularnewline
156 & 14.4228 & 14.0628972096408 & 0.359902790359181 \tabularnewline
157 & 14.896 & 16.6242499701172 & -1.7282499701172 \tabularnewline
158 & 15.6664 & 16.2093680998007 & -0.54296809980066 \tabularnewline
159 & 18.147 & 16.494847855592 & 1.65215214440799 \tabularnewline
160 & 19.3069 & 20.1374550608642 & -0.83055506086423 \tabularnewline
161 & 21.6807 & 20.0690857475333 & 1.61161425246671 \tabularnewline
162 & 20.7934 & 22.3930963981031 & -1.59969639810307 \tabularnewline
163 & 23.4241 & 20.3904327595264 & 3.03366724047362 \tabularnewline
164 & 24.8273 & 23.6238167605106 & 1.20348323948944 \tabularnewline
165 & 24.9276 & 26.4395822133862 & -1.51198221338618 \tabularnewline
166 & 27.4256 & 25.4188435593361 & 2.0067564406639 \tabularnewline
167 & 28.1746 & 29.1607483645183 & -0.986148364518303 \tabularnewline
168 & 24.5615 & 29.3185564209835 & -4.75705642098352 \tabularnewline
169 & 30.2532 & 24.2039130627373 & 6.0492869372627 \tabularnewline
170 & 31.2514 & 32.1009557296388 & -0.849555729638759 \tabularnewline
171 & 30.4733 & 31.9599116442419 & -1.48661164424189 \tabularnewline
172 & 33.3047 & 30.8808046117446 & 2.42389538825537 \tabularnewline
173 & 37.2103 & 33.7453505059714 & 3.4649494940286 \tabularnewline
174 & 36.7711 & 37.913779283507 & -1.14267928350695 \tabularnewline
175 & 37.7163 & 35.9398095609817 & 1.77649043901828 \tabularnewline
176 & 28.8488 & 36.7898309968555 & -7.94103099685554 \tabularnewline
177 & 27.4682 & 26.8883507454129 & 0.579849254587074 \tabularnewline
178 & 29.8793 & 26.6130487678488 & 3.26625123215119 \tabularnewline
179 & 28.0598 & 31.5144249824276 & -3.45462498242756 \tabularnewline
180 & 29.7733 & 28.4810867885814 & 1.2922132114186 \tabularnewline
181 & 32.6926 & 30.7748622738954 & 1.91773772610456 \tabularnewline
182 & 32.4803 & 34.0824591404264 & -1.60215914042644 \tabularnewline
183 & 29.4168 & 32.5700343833001 & -3.15323438330006 \tabularnewline
184 & 28.7054 & 29.15564920396 & -0.450249203960032 \tabularnewline
185 & 28.7614 & 28.1448248915841 & 0.616575108415887 \tabularnewline
186 & 23.8075 & 28.4577137220791 & -4.6502137220791 \tabularnewline
187 & 21.6987 & 21.9600723276726 & -0.261372327672641 \tabularnewline
188 & 21.4691 & 20.3281428821531 & 1.14095711784691 \tabularnewline
189 & 22.5709 & 22.5560914501248 & 0.01480854987519 \tabularnewline
190 & 23.4546 & 23.6048032114016 & -0.150203211401617 \tabularnewline
191 & 27.8976 & 25.1612222259533 & 2.7363777740467 \tabularnewline
192 & 29.2965 & 30.3167322694455 & -1.02023226944554 \tabularnewline
193 & 28.1191 & 30.8526783022146 & -2.73357830221458 \tabularnewline
194 & 25.812 & 28.4390330650546 & -2.62703306505461 \tabularnewline
195 & 25.931 & 25.3160797174061 & 0.614920282593868 \tabularnewline
196 & 26.9925 & 26.831229281139 & 0.161270718860982 \tabularnewline
197 & 28.9213 & 27.4729727016194 & 1.44832729838057 \tabularnewline
198 & 27.8898 & 29.4447520340958 & -1.5549520340958 \tabularnewline
199 & 24.2473 & 27.3582150676195 & -3.11091506761955 \tabularnewline
200 & 27.1056 & 22.6679998381337 & 4.43760016186632 \tabularnewline
201 & 28.2833 & 28.8627249375776 & -0.579424937577563 \tabularnewline
202 & 29.8076 & 29.4280872112299 & 0.379512788770146 \tabularnewline
203 & 27.1826 & 31.4943742016725 & -4.3117742016725 \tabularnewline
204 & 22.8764 & 27.4986667862896 & -4.62226678628963 \tabularnewline
205 & 21.938 & 22.4097090153794 & -0.471709015379405 \tabularnewline
206 & 23.3076 & 22.3182161630184 & 0.989383836981614 \tabularnewline
207 & 24.9572 & 24.2898564404154 & 0.667343559584643 \tabularnewline
208 & 26.4694 & 26.8082364915969 & -0.338836491596883 \tabularnewline
209 & 23.9297 & 27.3258982231446 & -3.39619822314459 \tabularnewline
210 & 24.7033 & 23.3795400412574 & 1.3237599587426 \tabularnewline
211 & 24.646 & 24.6427214699251 & 0.00327853007493407 \tabularnewline
212 & 24.0496 & 24.4930202196081 & -0.443420219608069 \tabularnewline
213 & 24.2096 & 25.2247964277969 & -1.01519642779693 \tabularnewline
214 & 24.0717 & 25.0161416505946 & -0.944441650594601 \tabularnewline
215 & 26.6673 & 25.5445570156476 & 1.12274298435238 \tabularnewline
216 & 27.6457 & 28.6735849155912 & -1.02788491559121 \tabularnewline
217 & 30.8791 & 29.2047312598026 & 1.67436874019741 \tabularnewline
218 & 29.3278 & 32.6751933179828 & -3.3473933179828 \tabularnewline
219 & 30.7268 & 29.4764655716048 & 1.25033442839525 \tabularnewline
220 & 34.1204 & 32.0411768699839 & 2.07922313001614 \tabularnewline
221 & 35.0205 & 35.3096139172974 & -0.289113917297383 \tabularnewline
222 & 39.3565 & 35.2970756434702 & 4.05942435652978 \tabularnewline
223 & 34.4724 & 40.1007917410695 & -5.62839174106946 \tabularnewline
224 & 29.9762 & 32.6409704608348 & -2.66477046083476 \tabularnewline
225 & 33.6008 & 29.2687599614044 & 4.33204003859563 \tabularnewline
226 & 35.2464 & 34.877343184253 & 0.369056815747044 \tabularnewline
227 & 40.4137 & 37.1612000470264 & 3.25249995297363 \tabularnewline
228 & 41.3922 & 42.7997598314 & -1.40755983139997 \tabularnewline
229 & 39.4243 & 42.5737479355239 & -3.14944793552388 \tabularnewline
230 & 45.7259 & 39.1937973272569 & 6.53210267274309 \tabularnewline
231 & 48.2549 & 47.2797845472826 & 0.975115452717403 \tabularnewline
232 & 52.0461 & 49.8581738896715 & 2.18792611032852 \tabularnewline
233 & 52.1871 & 52.6180925263587 & -0.430992526358725 \tabularnewline
234 & 49.3474 & 51.4942392248178 & -2.14683922481779 \tabularnewline
235 & 47.8653 & 47.304767249833 & 0.560532750166959 \tabularnewline
236 & 48.5179 & 45.9849911284225 & 2.5329088715775 \tabularnewline
237 & 52.4815 & 48.9967054298504 & 3.48479457014961 \tabularnewline
238 & 51.8171 & 53.4392211682793 & -1.6221211682793 \tabularnewline
239 & 52.5811 & 52.2562168702057 & 0.324883129794264 \tabularnewline
240 & 57.5617 & 52.8434162803344 & 4.71828371966558 \tabularnewline
241 & 55.7091 & 58.9926520070462 & -3.28355200704625 \tabularnewline
242 & 55.4378 & 55.1742914788815 & 0.263508521118465 \tabularnewline
243 & 58.7493 & 54.461989379121 & 4.287310620879 \tabularnewline
244 & 57.794 & 59.6414601829665 & -1.84746018296654 \tabularnewline
245 & 50.282 & 56.7536067254953 & -6.47160672549526 \tabularnewline
246 & 47.6976 & 46.9025868570941 & 0.795013142905878 \tabularnewline
247 & 46.7381 & 45.3181527755978 & 1.41994722440217 \tabularnewline
248 & 47.4282 & 45.2591774969207 & 2.16902250307927 \tabularnewline
249 & 42.2269 & 48.1168404622988 & -5.8899404622988 \tabularnewline
250 & 44.9066 & 40.8205867881196 & 4.08601321188043 \tabularnewline
251 & 47.2648 & 46.1130254603878 & 1.15177453961219 \tabularnewline
252 & 50.2325 & 48.7508663257588 & 1.48163367424116 \tabularnewline
253 & 50.2504 & 51.5849061694528 & -1.33450616945284 \tabularnewline
254 & 52.5685 & 50.5166014762356 & 2.05189852376443 \tabularnewline
255 & 55.2325 & 52.8463214478226 & 2.38617855217744 \tabularnewline
256 & 52.3674 & 56.3931362676683 & -4.02573626766827 \tabularnewline
257 & 55.1692 & 51.006535375465 & 4.16266462453503 \tabularnewline
258 & 57.7252 & 54.8417309632714 & 2.88346903672862 \tabularnewline
259 & 62.8232 & 57.4892461625512 & 5.33395383744879 \tabularnewline
260 & 62.7599 & 62.9709677066007 & -0.211067706600685 \tabularnewline
261 & 62.4387 & 63.0146469085893 & -0.575946908589304 \tabularnewline
262 & 64.0862 & 61.6307129685491 & 2.45548703145089 \tabularnewline
263 & 66.1209 & 64.539039954347 & 1.58186004565307 \tabularnewline
264 & 69.8474 & 66.569085084329 & 3.27831491567105 \tabularnewline
265 & 80.1039 & 70.5751535957415 & 9.52874640425847 \tabularnewline
266 & 85.9319 & 82.3990409506921 & 3.5328590493079 \tabularnewline
267 & 85.2843 & 86.6621406930615 & -1.37784069306151 \tabularnewline
268 & 77.0383 & 84.2235346037636 & -7.18523460376354 \tabularnewline
269 & 69.9981 & 72.5306059991534 & -2.53250599915339 \tabularnewline
270 & 55.2039 & 65.438986245874 & -10.2350862458739 \tabularnewline
271 & 43.1188 & 48.8032347750371 & -5.68443477503712 \tabularnewline
272 & 32.077 & 37.4139853784557 & -5.33698537845567 \tabularnewline
273 & 34.2974 & 29.101762396164 & 5.19563760383603 \tabularnewline
274 & 34.5613 & 35.016073106206 & -0.454773106205948 \tabularnewline
275 & 36.5235 & 36.4168052327038 & 0.106694767296177 \tabularnewline
276 & 39.0474 & 38.3838636225265 & 0.663536377473495 \tabularnewline
277 & 42.8033 & 41.0162832116625 & 1.78701678833754 \tabularnewline
278 & 49.5164 & 44.8396921817335 & 4.6767078182665 \tabularnewline
279 & 46.459 & 51.8891515709957 & -5.4301515709957 \tabularnewline
280 & 51.1313 & 46.7415054798572 & 4.38979452014281 \tabularnewline
281 & 46.9331 & 51.9753456748054 & -5.04224567480537 \tabularnewline
282 & 49.7654 & 45.612441077286 & 4.15295892271397 \tabularnewline
283 & 52.0729 & 49.5836331672553 & 2.48926683274465 \tabularnewline
284 & 51.6425 & 52.123085062361 & -0.480585062361049 \tabularnewline
285 & 53.9784 & 52.2990520473515 & 1.67934795264849 \tabularnewline
286 & 54.4891 & 54.6257476313836 & -0.1366476313836 \tabularnewline
287 & 59.0665 & 55.4573175664257 & 3.60918243357429 \tabularnewline
288 & 63.9929 & 60.7617236565769 & 3.23117634342306 \tabularnewline
289 & 61.6167 & 65.8045686267688 & -4.18786862676882 \tabularnewline
290 & 62.1816 & 60.9965915368619 & 1.18500846313814 \tabularnewline
291 & 58.9178 & 61.5079005559188 & -2.5901005559188 \tabularnewline
292 & 59.9151 & 58.1493991531515 & 1.76570084684853 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108379&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]14.2754[/C][C]12.0161091028756[/C][C]2.25929089712439[/C][/ROW]
[ROW][C]2[/C][C]12.2961[/C][C]14.4628439946977[/C][C]-2.16674399469775[/C][/ROW]
[ROW][C]3[/C][C]10.0871[/C][C]11.1990931509317[/C][C]-1.11199315093172[/C][/ROW]
[ROW][C]4[/C][C]13.5117[/C][C]9.39208398219395[/C][C]4.11961601780605[/C][/ROW]
[ROW][C]5[/C][C]13.9921[/C][C]13.5988146997364[/C][C]0.393285300263597[/C][/ROW]
[ROW][C]6[/C][C]13.6932[/C][C]13.3655295694992[/C][C]0.327670430500822[/C][/ROW]
[ROW][C]7[/C][C]14.4211[/C][C]12.3337799486257[/C][C]2.08732005137425[/C][/ROW]
[ROW][C]8[/C][C]15.3397[/C][C]13.1853049935606[/C][C]2.15439500643941[/C][/ROW]
[ROW][C]9[/C][C]16.5182[/C][C]15.7764379855761[/C][C]0.74176201442386[/C][/ROW]
[ROW][C]10[/C][C]15.2809[/C][C]16.4225911598917[/C][C]-1.1416911598917[/C][/ROW]
[ROW][C]11[/C][C]15.6204[/C][C]15.1726160172239[/C][C]0.447783982776142[/C][/ROW]
[ROW][C]12[/C][C]15.5698[/C][C]15.6094024409855[/C][C]-0.0396024409855272[/C][/ROW]
[ROW][C]13[/C][C]15.9458[/C][C]15.4791150533159[/C][C]0.466684946684097[/C][/ROW]
[ROW][C]14[/C][C]16.4063[/C][C]15.7504729425468[/C][C]0.655827057453202[/C][/ROW]
[ROW][C]15[/C][C]17.55[/C][C]15.8832639129224[/C][C]1.66673608707761[/C][/ROW]
[ROW][C]16[/C][C]17.0353[/C][C]17.8870867255307[/C][C]-0.851786725530675[/C][/ROW]
[ROW][C]17[/C][C]16.0591[/C][C]16.033611643958[/C][C]0.0254883560419734[/C][/ROW]
[ROW][C]18[/C][C]16.3643[/C][C]14.6090037408266[/C][C]1.75529625917342[/C][/ROW]
[ROW][C]19[/C][C]14.6527[/C][C]15.0766528899839[/C][C]-0.423952889983881[/C][/ROW]
[ROW][C]20[/C][C]13.4664[/C][C]12.7761966638219[/C][C]0.690203336178111[/C][/ROW]
[ROW][C]21[/C][C]13.3266[/C][C]13.2080786289126[/C][C]0.118521371087368[/C][/ROW]
[ROW][C]22[/C][C]13.1823[/C][C]12.9052457301993[/C][C]0.277054269800679[/C][/ROW]
[ROW][C]23[/C][C]12.113[/C][C]13.5395465856302[/C][C]-1.42654658563023[/C][/ROW]
[ROW][C]24[/C][C]13.354[/C][C]12.0206138300633[/C][C]1.33338616993671[/C][/ROW]
[ROW][C]25[/C][C]13.4537[/C][C]13.7695186945026[/C][C]-0.315818694502564[/C][/ROW]
[ROW][C]26[/C][C]13.2715[/C][C]13.5112591164564[/C][C]-0.239759116456415[/C][/ROW]
[ROW][C]27[/C][C]13.1959[/C][C]12.7653716460655[/C][C]0.430528353934532[/C][/ROW]
[ROW][C]28[/C][C]13.5542[/C][C]13.4035734287717[/C][C]0.150626571228304[/C][/ROW]
[ROW][C]29[/C][C]12.124[/C][C]13.0132986546418[/C][C]-0.889298654641758[/C][/ROW]
[ROW][C]30[/C][C]10.967[/C][C]10.9045196040515[/C][C]0.0624803959484841[/C][/ROW]
[ROW][C]31[/C][C]10.9201[/C][C]9.53057051048242[/C][C]1.38952948951758[/C][/ROW]
[ROW][C]32[/C][C]12.5971[/C][C]9.75221973120313[/C][C]2.84488026879687[/C][/ROW]
[ROW][C]33[/C][C]14.3177[/C][C]13.5612978521288[/C][C]0.756402147871219[/C][/ROW]
[ROW][C]34[/C][C]14.2471[/C][C]14.77938054467[/C][C]-0.53228054467003[/C][/ROW]
[ROW][C]35[/C][C]16.0926[/C][C]14.8124118276222[/C][C]1.28018817237777[/C][/ROW]
[ROW][C]36[/C][C]17.1334[/C][C]16.8440860107578[/C][C]0.28931398924218[/C][/ROW]
[ROW][C]37[/C][C]16.5866[/C][C]17.6405109595001[/C][C]-1.05391095950006[/C][/ROW]
[ROW][C]38[/C][C]16.361[/C][C]16.3444748584389[/C][C]0.0165251415611361[/C][/ROW]
[ROW][C]39[/C][C]15.8494[/C][C]15.7373926492855[/C][C]0.112007350714458[/C][/ROW]
[ROW][C]40[/C][C]15.5932[/C][C]15.8870196785422[/C][C]-0.293819678542157[/C][/ROW]
[ROW][C]41[/C][C]16.6387[/C][C]14.8179818866812[/C][C]1.82071811331879[/C][/ROW]
[ROW][C]42[/C][C]16.8312[/C][C]16.0527466993102[/C][C]0.778453300689787[/C][/ROW]
[ROW][C]43[/C][C]16.5044[/C][C]15.854132498494[/C][C]0.650267501505962[/C][/ROW]
[ROW][C]44[/C][C]16.5556[/C][C]15.1661757910201[/C][C]1.38942420897995[/C][/ROW]
[ROW][C]45[/C][C]16.7469[/C][C]16.865646739799[/C][C]-0.118746739799041[/C][/ROW]
[ROW][C]46[/C][C]15.9543[/C][C]16.5608623993176[/C][C]-0.60656239931761[/C][/ROW]
[ROW][C]47[/C][C]15.5888[/C][C]16.1868892092412[/C][C]-0.598089209241184[/C][/ROW]
[ROW][C]48[/C][C]14.3945[/C][C]15.7004230764864[/C][C]-1.30592307648637[/C][/ROW]
[ROW][C]49[/C][C]13.8889[/C][C]14.2353236840062[/C][C]-0.346423684006235[/C][/ROW]
[ROW][C]50[/C][C]12.9999[/C][C]13.7252553896608[/C][C]-0.725355389660801[/C][/ROW]
[ROW][C]51[/C][C]14.1022[/C][C]12.4483982955403[/C][C]1.65380170445974[/C][/ROW]
[ROW][C]52[/C][C]19.6245[/C][C]14.7965876192542[/C][C]4.82791238074582[/C][/ROW]
[ROW][C]53[/C][C]24.7658[/C][C]20.7651403001858[/C][C]4.00065969981416[/C][/ROW]
[ROW][C]54[/C][C]25.9843[/C][C]25.6773072123504[/C][C]0.306992787649639[/C][/ROW]
[ROW][C]55[/C][C]22.9635[/C][C]25.2892934592039[/C][C]-2.32579345920385[/C][/ROW]
[ROW][C]56[/C][C]19.6288[/C][C]20.5902814505125[/C][C]-0.961481450512484[/C][/ROW]
[ROW][C]57[/C][C]17.3363[/C][C]18.5590606119197[/C][C]-1.22276061191966[/C][/ROW]
[ROW][C]58[/C][C]13.311[/C][C]16.1543435647306[/C][C]-2.84334356473064[/C][/ROW]
[ROW][C]59[/C][C]14.6359[/C][C]12.54458453266[/C][C]2.09131546733995[/C][/ROW]
[ROW][C]60[/C][C]15.834[/C][C]15.1936138158178[/C][C]0.640386184182174[/C][/ROW]
[ROW][C]61[/C][C]16.2415[/C][C]16.644526192199[/C][C]-0.403026192199047[/C][/ROW]
[ROW][C]62[/C][C]15.9808[/C][C]16.5467735235941[/C][C]-0.56597352359414[/C][/ROW]
[ROW][C]63[/C][C]16.9726[/C][C]15.6468908025727[/C][C]1.32570919742734[/C][/ROW]
[ROW][C]64[/C][C]16.8708[/C][C]17.6368763285787[/C][C]-0.766076328578684[/C][/ROW]
[ROW][C]65[/C][C]16.923[/C][C]16.4116049112956[/C][C]0.511395088704394[/C][/ROW]
[ROW][C]66[/C][C]18.1138[/C][C]16.2071712397217[/C][C]1.90662876027834[/C][/ROW]
[ROW][C]67[/C][C]16.7716[/C][C]17.5174830618356[/C][C]-0.745883061835586[/C][/ROW]
[ROW][C]68[/C][C]14.0299[/C][C]15.3845332441788[/C][C]-1.35463324417877[/C][/ROW]
[ROW][C]69[/C][C]13.822[/C][C]13.671644081428[/C][C]0.150355918571978[/C][/ROW]
[ROW][C]70[/C][C]14.2537[/C][C]13.63021211186[/C][C]0.623487888139996[/C][/ROW]
[ROW][C]71[/C][C]14.3985[/C][C]15.1578491616834[/C][C]-0.75934916168343[/C][/ROW]
[ROW][C]72[/C][C]15.2454[/C][C]15.0431864320804[/C][C]0.202213567919631[/C][/ROW]
[ROW][C]73[/C][C]15.6683[/C][C]15.944330692384[/C][C]-0.276030692383954[/C][/ROW]
[ROW][C]74[/C][C]16.1721[/C][C]16.0879181651243[/C][C]0.0841818348756693[/C][/ROW]
[ROW][C]75[/C][C]14.8679[/C][C]16.1824657401202[/C][C]-1.31456574012016[/C][/ROW]
[ROW][C]76[/C][C]14.1948[/C][C]15.0569481728826[/C][C]-0.862148172882569[/C][/ROW]
[ROW][C]77[/C][C]14.7056[/C][C]13.5887093196773[/C][C]1.11689068032273[/C][/ROW]
[ROW][C]78[/C][C]15.3819[/C][C]14.3187626299895[/C][C]1.06313737001051[/C][/ROW]
[ROW][C]79[/C][C]15.5001[/C][C]14.8980529706073[/C][C]0.60204702939268[/C][/ROW]
[ROW][C]80[/C][C]14.7886[/C][C]14.7059312268124[/C][C]0.082668773187557[/C][/ROW]
[ROW][C]81[/C][C]14.563[/C][C]15.2783998873061[/C][C]-0.715399887306113[/C][/ROW]
[ROW][C]82[/C][C]15.5528[/C][C]14.5894484287903[/C][C]0.96335157120974[/C][/ROW]
[ROW][C]83[/C][C]15.9781[/C][C]16.6602097603286[/C][C]-0.682109760328631[/C][/ROW]
[ROW][C]84[/C][C]15.5139[/C][C]16.7840619655968[/C][C]-1.27016196559683[/C][/ROW]
[ROW][C]85[/C][C]15.3603[/C][C]15.89561771563[/C][C]-0.535317715629993[/C][/ROW]
[ROW][C]86[/C][C]15.0512[/C][C]15.5992278958576[/C][C]-0.548027895857615[/C][/ROW]
[ROW][C]87[/C][C]14.7874[/C][C]14.916476896345[/C][C]-0.129076896345021[/C][/ROW]
[ROW][C]88[/C][C]14.9624[/C][C]15.3564097573442[/C][C]-0.394009757344163[/C][/ROW]
[ROW][C]89[/C][C]13.9188[/C][C]14.7875386646472[/C][C]-0.868738664647212[/C][/ROW]
[ROW][C]90[/C][C]14.5146[/C][C]13.2319421720978[/C][C]1.28265782790221[/C][/ROW]
[ROW][C]91[/C][C]13.7115[/C][C]14.0145613590488[/C][C]-0.303061359048762[/C][/ROW]
[ROW][C]92[/C][C]12.0738[/C][C]12.8130530995668[/C][C]-0.739253099566786[/C][/ROW]
[ROW][C]93[/C][C]12.5688[/C][C]12.4235674882671[/C][C]0.145232511732949[/C][/ROW]
[ROW][C]94[/C][C]12.2547[/C][C]12.9592127645107[/C][C]-0.704512764510669[/C][/ROW]
[ROW][C]95[/C][C]11.8741[/C][C]13.2707310342657[/C][C]-1.39663103426572[/C][/ROW]
[ROW][C]96[/C][C]13.0261[/C][C]12.6105561874825[/C][C]0.41554381251747[/C][/ROW]
[ROW][C]97[/C][C]13.8681[/C][C]14.0994490858593[/C][C]-0.231349085859312[/C][/ROW]
[ROW][C]98[/C][C]14.2137[/C][C]14.7458727526983[/C][C]-0.53217275269832[/C][/ROW]
[ROW][C]99[/C][C]14.4743[/C][C]14.5065020756231[/C][C]-0.0322020756231481[/C][/ROW]
[ROW][C]100[/C][C]13.9764[/C][C]15.3785242509621[/C][C]-1.40212425096209[/C][/ROW]
[ROW][C]101[/C][C]13.1558[/C][C]13.7731430102642[/C][C]-0.617343010264248[/C][/ROW]
[ROW][C]102[/C][C]13.0991[/C][C]12.6215550271342[/C][C]0.477544972865776[/C][/ROW]
[ROW][C]103[/C][C]13.7831[/C][C]12.582661999432[/C][C]1.20043800056799[/C][/ROW]
[ROW][C]104[/C][C]13.2546[/C][C]13.4098323054931[/C][C]-0.15523230549311[/C][/ROW]
[ROW][C]105[/C][C]13.3426[/C][C]14.1358647130971[/C][C]-0.793264713097096[/C][/ROW]
[ROW][C]106[/C][C]13.5011[/C][C]13.7465793511097[/C][C]-0.245479351109728[/C][/ROW]
[ROW][C]107[/C][C]12.8245[/C][C]14.6692531741055[/C][C]-1.84475317410553[/C][/ROW]
[ROW][C]108[/C][C]13.6596[/C][C]13.5619329941126[/C][C]0.0976670058873757[/C][/ROW]
[ROW][C]109[/C][C]13.8754[/C][C]14.6728947572343[/C][C]-0.797494757234313[/C][/ROW]
[ROW][C]110[/C][C]12.9011[/C][C]14.6273486345466[/C][C]-1.72624863454664[/C][/ROW]
[ROW][C]111[/C][C]11.871[/C][C]12.8828283315741[/C][C]-1.01182833157414[/C][/ROW]
[ROW][C]112[/C][C]12.3954[/C][C]12.4820370953328[/C][C]-0.086637095332842[/C][/ROW]
[ROW][C]113[/C][C]12.8179[/C][C]12.6059759116074[/C][C]0.211924088392559[/C][/ROW]
[ROW][C]114[/C][C]12.1219[/C][C]12.8995969386812[/C][C]-0.777696938681233[/C][/ROW]
[ROW][C]115[/C][C]12.6176[/C][C]11.644735001658[/C][C]0.972864998341998[/C][/ROW]
[ROW][C]116[/C][C]13.6362[/C][C]12.2812760310951[/C][C]1.35492396890494[/C][/ROW]
[ROW][C]117[/C][C]13.5422[/C][C]15.0912823268806[/C][C]-1.54908232688061[/C][/ROW]
[ROW][C]118[/C][C]13.362[/C][C]14.1091403758184[/C][C]-0.74714037581842[/C][/ROW]
[ROW][C]119[/C][C]14.5735[/C][C]14.5033673067168[/C][C]0.0701326932831996[/C][/ROW]
[ROW][C]120[/C][C]15.8357[/C][C]15.9119952733264[/C][C]-0.0762952733264367[/C][/ROW]
[ROW][C]121[/C][C]14.9927[/C][C]17.141045567816[/C][C]-2.14834556781598[/C][/ROW]
[ROW][C]122[/C][C]14.5078[/C][C]15.4702621240522[/C][C]-0.962462124052167[/C][/ROW]
[ROW][C]123[/C][C]15.2648[/C][C]14.5797781851601[/C][C]0.685021814839939[/C][/ROW]
[ROW][C]124[/C][C]15.7163[/C][C]16.4375237494262[/C][C]-0.721223749426169[/C][/ROW]
[ROW][C]125[/C][C]17.7969[/C][C]15.9858855686916[/C][C]1.81101443130838[/C][/ROW]
[ROW][C]126[/C][C]19.0408[/C][C]18.2535432915457[/C][C]0.78725670845428[/C][/ROW]
[ROW][C]127[/C][C]17.8571[/C][C]19.0906124989776[/C][C]-1.23351249897762[/C][/ROW]
[ROW][C]128[/C][C]18.815[/C][C]16.9681543387351[/C][C]1.84684566126486[/C][/ROW]
[ROW][C]129[/C][C]19.0961[/C][C]19.942881899572[/C][C]-0.846781899572[/C][/ROW]
[ROW][C]130[/C][C]17.6215[/C][C]19.6181491957194[/C][C]-1.99664919571942[/C][/ROW]
[ROW][C]131[/C][C]17.0163[/C][C]18.2654925984116[/C][C]-1.24919259841162[/C][/ROW]
[ROW][C]132[/C][C]15.8286[/C][C]17.6361862088366[/C][C]-1.80758620883661[/C][/ROW]
[ROW][C]133[/C][C]16.7818[/C][C]16.2993562002123[/C][C]0.482443799787665[/C][/ROW]
[ROW][C]134[/C][C]15.8726[/C][C]17.6644106901991[/C][C]-1.79181069019912[/C][/ROW]
[ROW][C]135[/C][C]16.6621[/C][C]16.0074987473259[/C][C]0.654601252674056[/C][/ROW]
[ROW][C]136[/C][C]17.5709[/C][C]17.8305056521976[/C][C]-0.259605652197574[/C][/ROW]
[ROW][C]137[/C][C]16.9914[/C][C]18.0046168033799[/C][C]-1.01321680337993[/C][/ROW]
[ROW][C]138[/C][C]18.0412[/C][C]16.7646700580245[/C][C]1.27652994197545[/C][/ROW]
[ROW][C]139[/C][C]16.9764[/C][C]17.955307279769[/C][C]-0.978907279769026[/C][/ROW]
[ROW][C]140[/C][C]15.7649[/C][C]16.273873905176[/C][C]-0.508973905175969[/C][/ROW]
[ROW][C]141[/C][C]14.3928[/C][C]16.4532460613825[/C][C]-2.06044606138253[/C][/ROW]
[ROW][C]142[/C][C]13.5061[/C][C]14.5323340964729[/C][C]-1.0262340964729[/C][/ROW]
[ROW][C]143[/C][C]12.7433[/C][C]14.5242612021986[/C][C]-1.78096120219862[/C][/ROW]
[ROW][C]144[/C][C]13.017[/C][C]13.686002572996[/C][C]-0.669002572996003[/C][/ROW]
[ROW][C]145[/C][C]13.0171[/C][C]14.1860468641224[/C][C]-1.1689468641224[/C][/ROW]
[ROW][C]146[/C][C]12.2412[/C][C]14.0015394445439[/C][C]-1.76033944454391[/C][/ROW]
[ROW][C]147[/C][C]11.8878[/C][C]12.6119557597711[/C][C]-0.724155759771098[/C][/ROW]
[ROW][C]148[/C][C]11.2511[/C][C]13.0415624626161[/C][C]-1.79046246261611[/C][/ROW]
[ROW][C]149[/C][C]11.8583[/C][C]11.5025463368055[/C][C]0.35575366319448[/C][/ROW]
[ROW][C]150[/C][C]11.1202[/C][C]12.2523103259117[/C][C]-1.13211032591168[/C][/ROW]
[ROW][C]151[/C][C]10.185[/C][C]11.0083794648124[/C][C]-0.823379464812362[/C][/ROW]
[ROW][C]152[/C][C]8.7563[/C][C]9.80617928796824[/C][C]-1.04987928796824[/C][/ROW]
[ROW][C]153[/C][C]9.5267[/C][C]9.84647874377357[/C][C]-0.319778743773574[/C][/ROW]
[ROW][C]154[/C][C]9.4106[/C][C]10.6854910297078[/C][C]-1.27489102970782[/C][/ROW]
[ROW][C]155[/C][C]11.878[/C][C]11.1632556685964[/C][C]0.714744331403553[/C][/ROW]
[ROW][C]156[/C][C]14.4228[/C][C]14.0628972096408[/C][C]0.359902790359181[/C][/ROW]
[ROW][C]157[/C][C]14.896[/C][C]16.6242499701172[/C][C]-1.7282499701172[/C][/ROW]
[ROW][C]158[/C][C]15.6664[/C][C]16.2093680998007[/C][C]-0.54296809980066[/C][/ROW]
[ROW][C]159[/C][C]18.147[/C][C]16.494847855592[/C][C]1.65215214440799[/C][/ROW]
[ROW][C]160[/C][C]19.3069[/C][C]20.1374550608642[/C][C]-0.83055506086423[/C][/ROW]
[ROW][C]161[/C][C]21.6807[/C][C]20.0690857475333[/C][C]1.61161425246671[/C][/ROW]
[ROW][C]162[/C][C]20.7934[/C][C]22.3930963981031[/C][C]-1.59969639810307[/C][/ROW]
[ROW][C]163[/C][C]23.4241[/C][C]20.3904327595264[/C][C]3.03366724047362[/C][/ROW]
[ROW][C]164[/C][C]24.8273[/C][C]23.6238167605106[/C][C]1.20348323948944[/C][/ROW]
[ROW][C]165[/C][C]24.9276[/C][C]26.4395822133862[/C][C]-1.51198221338618[/C][/ROW]
[ROW][C]166[/C][C]27.4256[/C][C]25.4188435593361[/C][C]2.0067564406639[/C][/ROW]
[ROW][C]167[/C][C]28.1746[/C][C]29.1607483645183[/C][C]-0.986148364518303[/C][/ROW]
[ROW][C]168[/C][C]24.5615[/C][C]29.3185564209835[/C][C]-4.75705642098352[/C][/ROW]
[ROW][C]169[/C][C]30.2532[/C][C]24.2039130627373[/C][C]6.0492869372627[/C][/ROW]
[ROW][C]170[/C][C]31.2514[/C][C]32.1009557296388[/C][C]-0.849555729638759[/C][/ROW]
[ROW][C]171[/C][C]30.4733[/C][C]31.9599116442419[/C][C]-1.48661164424189[/C][/ROW]
[ROW][C]172[/C][C]33.3047[/C][C]30.8808046117446[/C][C]2.42389538825537[/C][/ROW]
[ROW][C]173[/C][C]37.2103[/C][C]33.7453505059714[/C][C]3.4649494940286[/C][/ROW]
[ROW][C]174[/C][C]36.7711[/C][C]37.913779283507[/C][C]-1.14267928350695[/C][/ROW]
[ROW][C]175[/C][C]37.7163[/C][C]35.9398095609817[/C][C]1.77649043901828[/C][/ROW]
[ROW][C]176[/C][C]28.8488[/C][C]36.7898309968555[/C][C]-7.94103099685554[/C][/ROW]
[ROW][C]177[/C][C]27.4682[/C][C]26.8883507454129[/C][C]0.579849254587074[/C][/ROW]
[ROW][C]178[/C][C]29.8793[/C][C]26.6130487678488[/C][C]3.26625123215119[/C][/ROW]
[ROW][C]179[/C][C]28.0598[/C][C]31.5144249824276[/C][C]-3.45462498242756[/C][/ROW]
[ROW][C]180[/C][C]29.7733[/C][C]28.4810867885814[/C][C]1.2922132114186[/C][/ROW]
[ROW][C]181[/C][C]32.6926[/C][C]30.7748622738954[/C][C]1.91773772610456[/C][/ROW]
[ROW][C]182[/C][C]32.4803[/C][C]34.0824591404264[/C][C]-1.60215914042644[/C][/ROW]
[ROW][C]183[/C][C]29.4168[/C][C]32.5700343833001[/C][C]-3.15323438330006[/C][/ROW]
[ROW][C]184[/C][C]28.7054[/C][C]29.15564920396[/C][C]-0.450249203960032[/C][/ROW]
[ROW][C]185[/C][C]28.7614[/C][C]28.1448248915841[/C][C]0.616575108415887[/C][/ROW]
[ROW][C]186[/C][C]23.8075[/C][C]28.4577137220791[/C][C]-4.6502137220791[/C][/ROW]
[ROW][C]187[/C][C]21.6987[/C][C]21.9600723276726[/C][C]-0.261372327672641[/C][/ROW]
[ROW][C]188[/C][C]21.4691[/C][C]20.3281428821531[/C][C]1.14095711784691[/C][/ROW]
[ROW][C]189[/C][C]22.5709[/C][C]22.5560914501248[/C][C]0.01480854987519[/C][/ROW]
[ROW][C]190[/C][C]23.4546[/C][C]23.6048032114016[/C][C]-0.150203211401617[/C][/ROW]
[ROW][C]191[/C][C]27.8976[/C][C]25.1612222259533[/C][C]2.7363777740467[/C][/ROW]
[ROW][C]192[/C][C]29.2965[/C][C]30.3167322694455[/C][C]-1.02023226944554[/C][/ROW]
[ROW][C]193[/C][C]28.1191[/C][C]30.8526783022146[/C][C]-2.73357830221458[/C][/ROW]
[ROW][C]194[/C][C]25.812[/C][C]28.4390330650546[/C][C]-2.62703306505461[/C][/ROW]
[ROW][C]195[/C][C]25.931[/C][C]25.3160797174061[/C][C]0.614920282593868[/C][/ROW]
[ROW][C]196[/C][C]26.9925[/C][C]26.831229281139[/C][C]0.161270718860982[/C][/ROW]
[ROW][C]197[/C][C]28.9213[/C][C]27.4729727016194[/C][C]1.44832729838057[/C][/ROW]
[ROW][C]198[/C][C]27.8898[/C][C]29.4447520340958[/C][C]-1.5549520340958[/C][/ROW]
[ROW][C]199[/C][C]24.2473[/C][C]27.3582150676195[/C][C]-3.11091506761955[/C][/ROW]
[ROW][C]200[/C][C]27.1056[/C][C]22.6679998381337[/C][C]4.43760016186632[/C][/ROW]
[ROW][C]201[/C][C]28.2833[/C][C]28.8627249375776[/C][C]-0.579424937577563[/C][/ROW]
[ROW][C]202[/C][C]29.8076[/C][C]29.4280872112299[/C][C]0.379512788770146[/C][/ROW]
[ROW][C]203[/C][C]27.1826[/C][C]31.4943742016725[/C][C]-4.3117742016725[/C][/ROW]
[ROW][C]204[/C][C]22.8764[/C][C]27.4986667862896[/C][C]-4.62226678628963[/C][/ROW]
[ROW][C]205[/C][C]21.938[/C][C]22.4097090153794[/C][C]-0.471709015379405[/C][/ROW]
[ROW][C]206[/C][C]23.3076[/C][C]22.3182161630184[/C][C]0.989383836981614[/C][/ROW]
[ROW][C]207[/C][C]24.9572[/C][C]24.2898564404154[/C][C]0.667343559584643[/C][/ROW]
[ROW][C]208[/C][C]26.4694[/C][C]26.8082364915969[/C][C]-0.338836491596883[/C][/ROW]
[ROW][C]209[/C][C]23.9297[/C][C]27.3258982231446[/C][C]-3.39619822314459[/C][/ROW]
[ROW][C]210[/C][C]24.7033[/C][C]23.3795400412574[/C][C]1.3237599587426[/C][/ROW]
[ROW][C]211[/C][C]24.646[/C][C]24.6427214699251[/C][C]0.00327853007493407[/C][/ROW]
[ROW][C]212[/C][C]24.0496[/C][C]24.4930202196081[/C][C]-0.443420219608069[/C][/ROW]
[ROW][C]213[/C][C]24.2096[/C][C]25.2247964277969[/C][C]-1.01519642779693[/C][/ROW]
[ROW][C]214[/C][C]24.0717[/C][C]25.0161416505946[/C][C]-0.944441650594601[/C][/ROW]
[ROW][C]215[/C][C]26.6673[/C][C]25.5445570156476[/C][C]1.12274298435238[/C][/ROW]
[ROW][C]216[/C][C]27.6457[/C][C]28.6735849155912[/C][C]-1.02788491559121[/C][/ROW]
[ROW][C]217[/C][C]30.8791[/C][C]29.2047312598026[/C][C]1.67436874019741[/C][/ROW]
[ROW][C]218[/C][C]29.3278[/C][C]32.6751933179828[/C][C]-3.3473933179828[/C][/ROW]
[ROW][C]219[/C][C]30.7268[/C][C]29.4764655716048[/C][C]1.25033442839525[/C][/ROW]
[ROW][C]220[/C][C]34.1204[/C][C]32.0411768699839[/C][C]2.07922313001614[/C][/ROW]
[ROW][C]221[/C][C]35.0205[/C][C]35.3096139172974[/C][C]-0.289113917297383[/C][/ROW]
[ROW][C]222[/C][C]39.3565[/C][C]35.2970756434702[/C][C]4.05942435652978[/C][/ROW]
[ROW][C]223[/C][C]34.4724[/C][C]40.1007917410695[/C][C]-5.62839174106946[/C][/ROW]
[ROW][C]224[/C][C]29.9762[/C][C]32.6409704608348[/C][C]-2.66477046083476[/C][/ROW]
[ROW][C]225[/C][C]33.6008[/C][C]29.2687599614044[/C][C]4.33204003859563[/C][/ROW]
[ROW][C]226[/C][C]35.2464[/C][C]34.877343184253[/C][C]0.369056815747044[/C][/ROW]
[ROW][C]227[/C][C]40.4137[/C][C]37.1612000470264[/C][C]3.25249995297363[/C][/ROW]
[ROW][C]228[/C][C]41.3922[/C][C]42.7997598314[/C][C]-1.40755983139997[/C][/ROW]
[ROW][C]229[/C][C]39.4243[/C][C]42.5737479355239[/C][C]-3.14944793552388[/C][/ROW]
[ROW][C]230[/C][C]45.7259[/C][C]39.1937973272569[/C][C]6.53210267274309[/C][/ROW]
[ROW][C]231[/C][C]48.2549[/C][C]47.2797845472826[/C][C]0.975115452717403[/C][/ROW]
[ROW][C]232[/C][C]52.0461[/C][C]49.8581738896715[/C][C]2.18792611032852[/C][/ROW]
[ROW][C]233[/C][C]52.1871[/C][C]52.6180925263587[/C][C]-0.430992526358725[/C][/ROW]
[ROW][C]234[/C][C]49.3474[/C][C]51.4942392248178[/C][C]-2.14683922481779[/C][/ROW]
[ROW][C]235[/C][C]47.8653[/C][C]47.304767249833[/C][C]0.560532750166959[/C][/ROW]
[ROW][C]236[/C][C]48.5179[/C][C]45.9849911284225[/C][C]2.5329088715775[/C][/ROW]
[ROW][C]237[/C][C]52.4815[/C][C]48.9967054298504[/C][C]3.48479457014961[/C][/ROW]
[ROW][C]238[/C][C]51.8171[/C][C]53.4392211682793[/C][C]-1.6221211682793[/C][/ROW]
[ROW][C]239[/C][C]52.5811[/C][C]52.2562168702057[/C][C]0.324883129794264[/C][/ROW]
[ROW][C]240[/C][C]57.5617[/C][C]52.8434162803344[/C][C]4.71828371966558[/C][/ROW]
[ROW][C]241[/C][C]55.7091[/C][C]58.9926520070462[/C][C]-3.28355200704625[/C][/ROW]
[ROW][C]242[/C][C]55.4378[/C][C]55.1742914788815[/C][C]0.263508521118465[/C][/ROW]
[ROW][C]243[/C][C]58.7493[/C][C]54.461989379121[/C][C]4.287310620879[/C][/ROW]
[ROW][C]244[/C][C]57.794[/C][C]59.6414601829665[/C][C]-1.84746018296654[/C][/ROW]
[ROW][C]245[/C][C]50.282[/C][C]56.7536067254953[/C][C]-6.47160672549526[/C][/ROW]
[ROW][C]246[/C][C]47.6976[/C][C]46.9025868570941[/C][C]0.795013142905878[/C][/ROW]
[ROW][C]247[/C][C]46.7381[/C][C]45.3181527755978[/C][C]1.41994722440217[/C][/ROW]
[ROW][C]248[/C][C]47.4282[/C][C]45.2591774969207[/C][C]2.16902250307927[/C][/ROW]
[ROW][C]249[/C][C]42.2269[/C][C]48.1168404622988[/C][C]-5.8899404622988[/C][/ROW]
[ROW][C]250[/C][C]44.9066[/C][C]40.8205867881196[/C][C]4.08601321188043[/C][/ROW]
[ROW][C]251[/C][C]47.2648[/C][C]46.1130254603878[/C][C]1.15177453961219[/C][/ROW]
[ROW][C]252[/C][C]50.2325[/C][C]48.7508663257588[/C][C]1.48163367424116[/C][/ROW]
[ROW][C]253[/C][C]50.2504[/C][C]51.5849061694528[/C][C]-1.33450616945284[/C][/ROW]
[ROW][C]254[/C][C]52.5685[/C][C]50.5166014762356[/C][C]2.05189852376443[/C][/ROW]
[ROW][C]255[/C][C]55.2325[/C][C]52.8463214478226[/C][C]2.38617855217744[/C][/ROW]
[ROW][C]256[/C][C]52.3674[/C][C]56.3931362676683[/C][C]-4.02573626766827[/C][/ROW]
[ROW][C]257[/C][C]55.1692[/C][C]51.006535375465[/C][C]4.16266462453503[/C][/ROW]
[ROW][C]258[/C][C]57.7252[/C][C]54.8417309632714[/C][C]2.88346903672862[/C][/ROW]
[ROW][C]259[/C][C]62.8232[/C][C]57.4892461625512[/C][C]5.33395383744879[/C][/ROW]
[ROW][C]260[/C][C]62.7599[/C][C]62.9709677066007[/C][C]-0.211067706600685[/C][/ROW]
[ROW][C]261[/C][C]62.4387[/C][C]63.0146469085893[/C][C]-0.575946908589304[/C][/ROW]
[ROW][C]262[/C][C]64.0862[/C][C]61.6307129685491[/C][C]2.45548703145089[/C][/ROW]
[ROW][C]263[/C][C]66.1209[/C][C]64.539039954347[/C][C]1.58186004565307[/C][/ROW]
[ROW][C]264[/C][C]69.8474[/C][C]66.569085084329[/C][C]3.27831491567105[/C][/ROW]
[ROW][C]265[/C][C]80.1039[/C][C]70.5751535957415[/C][C]9.52874640425847[/C][/ROW]
[ROW][C]266[/C][C]85.9319[/C][C]82.3990409506921[/C][C]3.5328590493079[/C][/ROW]
[ROW][C]267[/C][C]85.2843[/C][C]86.6621406930615[/C][C]-1.37784069306151[/C][/ROW]
[ROW][C]268[/C][C]77.0383[/C][C]84.2235346037636[/C][C]-7.18523460376354[/C][/ROW]
[ROW][C]269[/C][C]69.9981[/C][C]72.5306059991534[/C][C]-2.53250599915339[/C][/ROW]
[ROW][C]270[/C][C]55.2039[/C][C]65.438986245874[/C][C]-10.2350862458739[/C][/ROW]
[ROW][C]271[/C][C]43.1188[/C][C]48.8032347750371[/C][C]-5.68443477503712[/C][/ROW]
[ROW][C]272[/C][C]32.077[/C][C]37.4139853784557[/C][C]-5.33698537845567[/C][/ROW]
[ROW][C]273[/C][C]34.2974[/C][C]29.101762396164[/C][C]5.19563760383603[/C][/ROW]
[ROW][C]274[/C][C]34.5613[/C][C]35.016073106206[/C][C]-0.454773106205948[/C][/ROW]
[ROW][C]275[/C][C]36.5235[/C][C]36.4168052327038[/C][C]0.106694767296177[/C][/ROW]
[ROW][C]276[/C][C]39.0474[/C][C]38.3838636225265[/C][C]0.663536377473495[/C][/ROW]
[ROW][C]277[/C][C]42.8033[/C][C]41.0162832116625[/C][C]1.78701678833754[/C][/ROW]
[ROW][C]278[/C][C]49.5164[/C][C]44.8396921817335[/C][C]4.6767078182665[/C][/ROW]
[ROW][C]279[/C][C]46.459[/C][C]51.8891515709957[/C][C]-5.4301515709957[/C][/ROW]
[ROW][C]280[/C][C]51.1313[/C][C]46.7415054798572[/C][C]4.38979452014281[/C][/ROW]
[ROW][C]281[/C][C]46.9331[/C][C]51.9753456748054[/C][C]-5.04224567480537[/C][/ROW]
[ROW][C]282[/C][C]49.7654[/C][C]45.612441077286[/C][C]4.15295892271397[/C][/ROW]
[ROW][C]283[/C][C]52.0729[/C][C]49.5836331672553[/C][C]2.48926683274465[/C][/ROW]
[ROW][C]284[/C][C]51.6425[/C][C]52.123085062361[/C][C]-0.480585062361049[/C][/ROW]
[ROW][C]285[/C][C]53.9784[/C][C]52.2990520473515[/C][C]1.67934795264849[/C][/ROW]
[ROW][C]286[/C][C]54.4891[/C][C]54.6257476313836[/C][C]-0.1366476313836[/C][/ROW]
[ROW][C]287[/C][C]59.0665[/C][C]55.4573175664257[/C][C]3.60918243357429[/C][/ROW]
[ROW][C]288[/C][C]63.9929[/C][C]60.7617236565769[/C][C]3.23117634342306[/C][/ROW]
[ROW][C]289[/C][C]61.6167[/C][C]65.8045686267688[/C][C]-4.18786862676882[/C][/ROW]
[ROW][C]290[/C][C]62.1816[/C][C]60.9965915368619[/C][C]1.18500846313814[/C][/ROW]
[ROW][C]291[/C][C]58.9178[/C][C]61.5079005559188[/C][C]-2.5901005559188[/C][/ROW]
[ROW][C]292[/C][C]59.9151[/C][C]58.1493991531515[/C][C]1.76570084684853[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108379&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108379&T=4

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
114.275412.01610910287562.25929089712439
212.296114.4628439946977-2.16674399469775
310.087111.1990931509317-1.11199315093172
413.51179.392083982193954.11961601780605
513.992113.59881469973640.393285300263597
613.693213.36552956949920.327670430500822
714.421112.33377994862572.08732005137425
815.339713.18530499356062.15439500643941
916.518215.77643798557610.74176201442386
1015.280916.4225911598917-1.1416911598917
1115.620415.17261601722390.447783982776142
1215.569815.6094024409855-0.0396024409855272
1315.945815.47911505331590.466684946684097
1416.406315.75047294254680.655827057453202
1517.5515.88326391292241.66673608707761
1617.035317.8870867255307-0.851786725530675
1716.059116.0336116439580.0254883560419734
1816.364314.60900374082661.75529625917342
1914.652715.0766528899839-0.423952889983881
2013.466412.77619666382190.690203336178111
2113.326613.20807862891260.118521371087368
2213.182312.90524573019930.277054269800679
2312.11313.5395465856302-1.42654658563023
2413.35412.02061383006331.33338616993671
2513.453713.7695186945026-0.315818694502564
2613.271513.5112591164564-0.239759116456415
2713.195912.76537164606550.430528353934532
2813.554213.40357342877170.150626571228304
2912.12413.0132986546418-0.889298654641758
3010.96710.90451960405150.0624803959484841
3110.92019.530570510482421.38952948951758
3212.59719.752219731203132.84488026879687
3314.317713.56129785212880.756402147871219
3414.247114.77938054467-0.53228054467003
3516.092614.81241182762221.28018817237777
3617.133416.84408601075780.28931398924218
3716.586617.6405109595001-1.05391095950006
3816.36116.34447485843890.0165251415611361
3915.849415.73739264928550.112007350714458
4015.593215.8870196785422-0.293819678542157
4116.638714.81798188668121.82071811331879
4216.831216.05274669931020.778453300689787
4316.504415.8541324984940.650267501505962
4416.555615.16617579102011.38942420897995
4516.746916.865646739799-0.118746739799041
4615.954316.5608623993176-0.60656239931761
4715.588816.1868892092412-0.598089209241184
4814.394515.7004230764864-1.30592307648637
4913.888914.2353236840062-0.346423684006235
5012.999913.7252553896608-0.725355389660801
5114.102212.44839829554031.65380170445974
5219.624514.79658761925424.82791238074582
5324.765820.76514030018584.00065969981416
5425.984325.67730721235040.306992787649639
5522.963525.2892934592039-2.32579345920385
5619.628820.5902814505125-0.961481450512484
5717.336318.5590606119197-1.22276061191966
5813.31116.1543435647306-2.84334356473064
5914.635912.544584532662.09131546733995
6015.83415.19361381581780.640386184182174
6116.241516.644526192199-0.403026192199047
6215.980816.5467735235941-0.56597352359414
6316.972615.64689080257271.32570919742734
6416.870817.6368763285787-0.766076328578684
6516.92316.41160491129560.511395088704394
6618.113816.20717123972171.90662876027834
6716.771617.5174830618356-0.745883061835586
6814.029915.3845332441788-1.35463324417877
6913.82213.6716440814280.150355918571978
7014.253713.630212111860.623487888139996
7114.398515.1578491616834-0.75934916168343
7215.245415.04318643208040.202213567919631
7315.668315.944330692384-0.276030692383954
7416.172116.08791816512430.0841818348756693
7514.867916.1824657401202-1.31456574012016
7614.194815.0569481728826-0.862148172882569
7714.705613.58870931967731.11689068032273
7815.381914.31876262998951.06313737001051
7915.500114.89805297060730.60204702939268
8014.788614.70593122681240.082668773187557
8114.56315.2783998873061-0.715399887306113
8215.552814.58944842879030.96335157120974
8315.978116.6602097603286-0.682109760328631
8415.513916.7840619655968-1.27016196559683
8515.360315.89561771563-0.535317715629993
8615.051215.5992278958576-0.548027895857615
8714.787414.916476896345-0.129076896345021
8814.962415.3564097573442-0.394009757344163
8913.918814.7875386646472-0.868738664647212
9014.514613.23194217209781.28265782790221
9113.711514.0145613590488-0.303061359048762
9212.073812.8130530995668-0.739253099566786
9312.568812.42356748826710.145232511732949
9412.254712.9592127645107-0.704512764510669
9511.874113.2707310342657-1.39663103426572
9613.026112.61055618748250.41554381251747
9713.868114.0994490858593-0.231349085859312
9814.213714.7458727526983-0.53217275269832
9914.474314.5065020756231-0.0322020756231481
10013.976415.3785242509621-1.40212425096209
10113.155813.7731430102642-0.617343010264248
10213.099112.62155502713420.477544972865776
10313.783112.5826619994321.20043800056799
10413.254613.4098323054931-0.15523230549311
10513.342614.1358647130971-0.793264713097096
10613.501113.7465793511097-0.245479351109728
10712.824514.6692531741055-1.84475317410553
10813.659613.56193299411260.0976670058873757
10913.875414.6728947572343-0.797494757234313
11012.901114.6273486345466-1.72624863454664
11111.87112.8828283315741-1.01182833157414
11212.395412.4820370953328-0.086637095332842
11312.817912.60597591160740.211924088392559
11412.121912.8995969386812-0.777696938681233
11512.617611.6447350016580.972864998341998
11613.636212.28127603109511.35492396890494
11713.542215.0912823268806-1.54908232688061
11813.36214.1091403758184-0.74714037581842
11914.573514.50336730671680.0701326932831996
12015.835715.9119952733264-0.0762952733264367
12114.992717.141045567816-2.14834556781598
12214.507815.4702621240522-0.962462124052167
12315.264814.57977818516010.685021814839939
12415.716316.4375237494262-0.721223749426169
12517.796915.98588556869161.81101443130838
12619.040818.25354329154570.78725670845428
12717.857119.0906124989776-1.23351249897762
12818.81516.96815433873511.84684566126486
12919.096119.942881899572-0.846781899572
13017.621519.6181491957194-1.99664919571942
13117.016318.2654925984116-1.24919259841162
13215.828617.6361862088366-1.80758620883661
13316.781816.29935620021230.482443799787665
13415.872617.6644106901991-1.79181069019912
13516.662116.00749874732590.654601252674056
13617.570917.8305056521976-0.259605652197574
13716.991418.0046168033799-1.01321680337993
13818.041216.76467005802451.27652994197545
13916.976417.955307279769-0.978907279769026
14015.764916.273873905176-0.508973905175969
14114.392816.4532460613825-2.06044606138253
14213.506114.5323340964729-1.0262340964729
14312.743314.5242612021986-1.78096120219862
14413.01713.686002572996-0.669002572996003
14513.017114.1860468641224-1.1689468641224
14612.241214.0015394445439-1.76033944454391
14711.887812.6119557597711-0.724155759771098
14811.251113.0415624626161-1.79046246261611
14911.858311.50254633680550.35575366319448
15011.120212.2523103259117-1.13211032591168
15110.18511.0083794648124-0.823379464812362
1528.75639.80617928796824-1.04987928796824
1539.52679.84647874377357-0.319778743773574
1549.410610.6854910297078-1.27489102970782
15511.87811.16325566859640.714744331403553
15614.422814.06289720964080.359902790359181
15714.89616.6242499701172-1.7282499701172
15815.666416.2093680998007-0.54296809980066
15918.14716.4948478555921.65215214440799
16019.306920.1374550608642-0.83055506086423
16121.680720.06908574753331.61161425246671
16220.793422.3930963981031-1.59969639810307
16323.424120.39043275952643.03366724047362
16424.827323.62381676051061.20348323948944
16524.927626.4395822133862-1.51198221338618
16627.425625.41884355933612.0067564406639
16728.174629.1607483645183-0.986148364518303
16824.561529.3185564209835-4.75705642098352
16930.253224.20391306273736.0492869372627
17031.251432.1009557296388-0.849555729638759
17130.473331.9599116442419-1.48661164424189
17233.304730.88080461174462.42389538825537
17337.210333.74535050597143.4649494940286
17436.771137.913779283507-1.14267928350695
17537.716335.93980956098171.77649043901828
17628.848836.7898309968555-7.94103099685554
17727.468226.88835074541290.579849254587074
17829.879326.61304876784883.26625123215119
17928.059831.5144249824276-3.45462498242756
18029.773328.48108678858141.2922132114186
18132.692630.77486227389541.91773772610456
18232.480334.0824591404264-1.60215914042644
18329.416832.5700343833001-3.15323438330006
18428.705429.15564920396-0.450249203960032
18528.761428.14482489158410.616575108415887
18623.807528.4577137220791-4.6502137220791
18721.698721.9600723276726-0.261372327672641
18821.469120.32814288215311.14095711784691
18922.570922.55609145012480.01480854987519
19023.454623.6048032114016-0.150203211401617
19127.897625.16122222595332.7363777740467
19229.296530.3167322694455-1.02023226944554
19328.119130.8526783022146-2.73357830221458
19425.81228.4390330650546-2.62703306505461
19525.93125.31607971740610.614920282593868
19626.992526.8312292811390.161270718860982
19728.921327.47297270161941.44832729838057
19827.889829.4447520340958-1.5549520340958
19924.247327.3582150676195-3.11091506761955
20027.105622.66799983813374.43760016186632
20128.283328.8627249375776-0.579424937577563
20229.807629.42808721122990.379512788770146
20327.182631.4943742016725-4.3117742016725
20422.876427.4986667862896-4.62226678628963
20521.93822.4097090153794-0.471709015379405
20623.307622.31821616301840.989383836981614
20724.957224.28985644041540.667343559584643
20826.469426.8082364915969-0.338836491596883
20923.929727.3258982231446-3.39619822314459
21024.703323.37954004125741.3237599587426
21124.64624.64272146992510.00327853007493407
21224.049624.4930202196081-0.443420219608069
21324.209625.2247964277969-1.01519642779693
21424.071725.0161416505946-0.944441650594601
21526.667325.54455701564761.12274298435238
21627.645728.6735849155912-1.02788491559121
21730.879129.20473125980261.67436874019741
21829.327832.6751933179828-3.3473933179828
21930.726829.47646557160481.25033442839525
22034.120432.04117686998392.07922313001614
22135.020535.3096139172974-0.289113917297383
22239.356535.29707564347024.05942435652978
22334.472440.1007917410695-5.62839174106946
22429.976232.6409704608348-2.66477046083476
22533.600829.26875996140444.33204003859563
22635.246434.8773431842530.369056815747044
22740.413737.16120004702643.25249995297363
22841.392242.7997598314-1.40755983139997
22939.424342.5737479355239-3.14944793552388
23045.725939.19379732725696.53210267274309
23148.254947.27978454728260.975115452717403
23252.046149.85817388967152.18792611032852
23352.187152.6180925263587-0.430992526358725
23449.347451.4942392248178-2.14683922481779
23547.865347.3047672498330.560532750166959
23648.517945.98499112842252.5329088715775
23752.481548.99670542985043.48479457014961
23851.817153.4392211682793-1.6221211682793
23952.581152.25621687020570.324883129794264
24057.561752.84341628033444.71828371966558
24155.709158.9926520070462-3.28355200704625
24255.437855.17429147888150.263508521118465
24358.749354.4619893791214.287310620879
24457.79459.6414601829665-1.84746018296654
24550.28256.7536067254953-6.47160672549526
24647.697646.90258685709410.795013142905878
24746.738145.31815277559781.41994722440217
24847.428245.25917749692072.16902250307927
24942.226948.1168404622988-5.8899404622988
25044.906640.82058678811964.08601321188043
25147.264846.11302546038781.15177453961219
25250.232548.75086632575881.48163367424116
25350.250451.5849061694528-1.33450616945284
25452.568550.51660147623562.05189852376443
25555.232552.84632144782262.38617855217744
25652.367456.3931362676683-4.02573626766827
25755.169251.0065353754654.16266462453503
25857.725254.84173096327142.88346903672862
25962.823257.48924616255125.33395383744879
26062.759962.9709677066007-0.211067706600685
26162.438763.0146469085893-0.575946908589304
26264.086261.63071296854912.45548703145089
26366.120964.5390399543471.58186004565307
26469.847466.5690850843293.27831491567105
26580.103970.57515359574159.52874640425847
26685.931982.39904095069213.5328590493079
26785.284386.6621406930615-1.37784069306151
26877.038384.2235346037636-7.18523460376354
26969.998172.5306059991534-2.53250599915339
27055.203965.438986245874-10.2350862458739
27143.118848.8032347750371-5.68443477503712
27232.07737.4139853784557-5.33698537845567
27334.297429.1017623961645.19563760383603
27434.561335.016073106206-0.454773106205948
27536.523536.41680523270380.106694767296177
27639.047438.38386362252650.663536377473495
27742.803341.01628321166251.78701678833754
27849.516444.83969218173354.6767078182665
27946.45951.8891515709957-5.4301515709957
28051.131346.74150547985724.38979452014281
28146.933151.9753456748054-5.04224567480537
28249.765445.6124410772864.15295892271397
28352.072949.58363316725532.48926683274465
28451.642552.123085062361-0.480585062361049
28553.978452.29905204735151.67934795264849
28654.489154.6257476313836-0.1366476313836
28759.066555.45731756642573.60918243357429
28863.992960.76172365657693.23117634342306
28961.616765.8045686267688-4.18786862676882
29062.181660.99659153686191.18500846313814
29158.917861.5079005559188-2.5901005559188
29259.915158.14939915315151.76570084684853







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
210.4419844571067520.8839689142135040.558015542893248
220.324964364151490.6499287283029810.67503563584851
230.2115693060272340.4231386120544670.788430693972766
240.170650730441060.3413014608821210.82934926955894
250.1259987067850290.2519974135700570.874001293214971
260.08789051186135120.1757810237227020.912109488138649
270.05007602425586510.100152048511730.949923975744135
280.0273738688432220.05474773768644390.972626131156778
290.01563975428200770.03127950856401540.984360245717992
300.009818073689191410.01963614737838280.990181926310809
310.005202254286552820.01040450857310560.994797745713447
320.004248067739482540.008496135478965080.995751932260518
330.002945005235874940.005890010471749880.997054994764125
340.001701417069579530.003402834139159060.99829858293042
350.001830420656202530.003660841312405060.998169579343797
360.0009596638119410660.001919327623882130.99904033618806
370.0004846800342623570.0009693600685247130.999515319965738
380.0002630252297342130.0005260504594684250.999736974770266
390.0001232969436346850.000246593887269370.999876703056365
405.68144626080608e-050.0001136289252161220.999943185537392
416.84889710057791e-050.0001369779420115580.999931511028994
423.42398203712728e-056.84796407425455e-050.999965760179629
432.01393133099754e-054.02786266199507e-050.99997986068669
449.35866583232377e-061.87173316646475e-050.999990641334168
454.24019789363078e-068.48039578726156e-060.999995759802106
461.83645228430888e-063.67290456861776e-060.999998163547716
478.2831559657551e-071.65663119315102e-060.999999171684403
486.263719370493e-071.2527438740986e-060.999999373628063
493.16219577837365e-076.3243915567473e-070.999999683780422
501.45818424215487e-072.91636848430973e-070.999999854181576
511.18488275968318e-072.36976551936635e-070.999999881511724
524.06102281101579e-068.12204562203157e-060.99999593897719
533.56217675852157e-057.12435351704315e-050.999964378232415
541.947564298864e-053.895128597728e-050.999980524357011
551.3013899600472e-052.60277992009439e-050.9999869861004
567.15610825826488e-061.43122165165298e-050.999992843891742
573.74576479757412e-067.49152959514824e-060.999996254235202
582.90813245833798e-065.81626491667596e-060.999997091867542
594.18877468037541e-068.37754936075082e-060.99999581122532
602.32283329716138e-064.64566659432275e-060.999997677166703
611.25186571631027e-062.50373143262053e-060.999998748134284
626.3252323578707e-071.26504647157414e-060.999999367476764
633.60925655191494e-077.21851310382989e-070.999999639074345
644.41180772890756e-078.82361545781511e-070.999999558819227
652.27469155525075e-074.5493831105015e-070.999999772530844
661.41326581990587e-072.82653163981174e-070.999999858673418
679.22609529080083e-081.84521905816017e-070.999999907739047
689.82159562395928e-081.96431912479186e-070.999999901784044
694.9150752886882e-089.8301505773764e-080.999999950849247
702.65186381796402e-085.30372763592805e-080.999999973481362
711.9313963888313e-083.86279277766261e-080.999999980686036
729.71490763694468e-091.94298152738894e-080.999999990285092
735.3153381627554e-091.06306763255108e-080.999999994684662
742.78789443770011e-095.57578887540022e-090.999999997212106
752.82310538735412e-095.64621077470824e-090.999999997176895
761.97197850849061e-093.94395701698122e-090.999999998028022
771.01261482656667e-092.02522965313334e-090.999999998987385
785.33550143505433e-101.06710028701087e-090.99999999946645
792.64482447559537e-105.28964895119073e-100.999999999735518
801.46445100594709e-102.92890201189418e-100.999999999853555
817.18934154729491e-111.43786830945898e-100.999999999928107
825.72108112686186e-111.14421622537237e-100.99999999994279
833.32643631819141e-116.65287263638282e-110.999999999966736
841.62517303488265e-113.2503460697653e-110.999999999983748
857.51005446817597e-121.50201089363519e-110.99999999999249
863.35227488088555e-126.7045497617711e-120.999999999996648
871.53800178534172e-123.07600357068345e-120.999999999998462
888.45606112946412e-131.69121222589282e-120.999999999999154
896.55815184886626e-131.31163036977325e-120.999999999999344
903.36668394649785e-136.7333678929957e-130.999999999999663
911.85980518524856e-133.71961037049713e-130.999999999999814
921.13463085941468e-132.26926171882936e-130.999999999999887
934.98717083440266e-149.97434166880533e-140.99999999999995
942.37871827723624e-144.75743655447247e-140.999999999999976
951.51374378917373e-143.02748757834745e-140.999999999999985
967.07081023003154e-151.41416204600631e-140.999999999999993
973.21740594666885e-156.4348118933377e-150.999999999999997
981.36251120612822e-152.72502241225644e-150.999999999999999
995.75107896443818e-161.15021579288764e-151
1004.81632735850257e-169.63265471700515e-161
1012.32263916542185e-164.6452783308437e-161
1021.10133440585682e-162.20266881171365e-161
1036.563563096533e-171.3127126193066e-161
1043.11093534439583e-176.22187068879166e-171
1051.24894757860082e-172.49789515720163e-171
1065.24231203191492e-181.04846240638298e-171
1073.87217660120621e-187.74435320241242e-181
1081.83343769473551e-183.66687538947102e-181
1098.29592217588289e-191.65918443517658e-181
1103.70016234471112e-197.40032468942224e-191
1111.76052247367953e-193.52104494735907e-191
1127.14641596229363e-201.42928319245873e-191
1132.94735571983167e-205.89471143966333e-201
1141.95429343187327e-203.90858686374654e-201
1151.15680515124678e-202.31361030249356e-201
1165.98259397256529e-211.19651879451306e-201
1172.8226237080463e-215.6452474160926e-211
1181.18027260397414e-212.36054520794828e-211
1194.93801531629108e-229.87603063258216e-221
1202.02910331669608e-224.05820663339215e-221
1211.08601589525981e-222.17203179051961e-221
1224.58045443754556e-239.16090887509112e-231
1232.28705479982762e-234.57410959965525e-231
1248.64471335779579e-241.72894267155916e-231
1252.33676100543505e-234.67352201087011e-231
1261.1199937296683e-232.23998745933661e-231
1274.06854467277726e-248.13708934555452e-241
1281.32703581764546e-232.65407163529092e-231
1294.86684757969807e-249.73369515939615e-241
1301.90359821015004e-243.80719642030008e-241
1316.98972974027952e-251.3979459480559e-241
1323.36056325557561e-256.72112651115121e-251
1333.2857016569053e-256.5714033138106e-251
1341.4564062256099e-252.91281245121979e-251
1351.36247443656436e-252.72494887312872e-251
1365.01235178764589e-261.00247035752918e-251
1371.9384506374411e-263.87690127488221e-261
1381.63353922461197e-263.26707844922394e-261
1396.45623652291113e-271.29124730458223e-261
1402.32261270023293e-274.64522540046586e-271
1411.29595025162829e-272.59190050325657e-271
1424.6958959129343e-289.3917918258686e-281
1432.54216235914236e-285.08432471828471e-281
1448.71965606387456e-291.74393121277491e-281
1453.4514751706049e-296.9029503412098e-291
1461.48876698916517e-292.97753397833033e-291
1475.55478566294184e-301.11095713258837e-291
1484.93883025019184e-309.87766050038368e-301
1491.76590495671335e-303.5318099134267e-301
1501.80965092559433e-303.61930185118865e-301
1516.40229078146793e-311.28045815629359e-301
1524.67169006401349e-319.34338012802698e-311
1531.65901564141412e-313.31803128282825e-311
1547.04850808952563e-321.40970161790513e-311
1555.46647545837656e-321.09329509167531e-311
1562.20049864355548e-324.40099728711095e-321
1579.01477362745882e-331.80295472549176e-321
1585.22394637438534e-331.04478927487707e-321
1598.23614787968446e-331.64722957593689e-321
1602.70323367935875e-335.4064673587175e-331
1619.13979705463894e-331.82795941092779e-321
1624.58321476495492e-339.16642952990984e-331
1631.02154161070719e-302.04308322141439e-301
1648.97628283268059e-311.79525656653612e-301
1653.73199502380142e-317.46399004760283e-311
1667.2130278001918e-301.44260556003836e-291
1672.57781825513688e-305.15563651027375e-301
1681.69507602986949e-293.39015205973899e-291
1691.5764012680633e-243.1528025361266e-241
1706.3888095941148e-251.27776191882296e-241
1712.6342533314448e-255.2685066628896e-251
1724.4924699012122e-258.9849398024244e-251
1733.20587673388667e-246.41175346777335e-241
1741.46189990096795e-242.9237998019359e-241
1751.72955987799429e-243.45911975598857e-241
1762.34126185598544e-194.68252371197088e-191
1771.25121859794183e-192.50243719588365e-191
1783.01315920355484e-196.02631840710968e-191
1792.41773087606649e-194.83546175213297e-191
1802.80501162795987e-195.61002325591975e-191
1812.99668358899583e-195.99336717799167e-191
1821.59848739063012e-193.19697478126024e-191
1832.17778766811536e-194.35557533623073e-191
1841.08933699694702e-192.17867399389405e-191
1857.42421390765344e-201.48484278153069e-191
1865.43357868173468e-191.08671573634694e-181
1872.51549696081426e-195.03099392162852e-191
1881.44978631161833e-192.89957262323666e-191
1898.82971331452787e-201.76594266290557e-191
1904.61793351097899e-209.23586702195797e-201
1911.87693946366727e-193.75387892733453e-191
1928.79426622510885e-201.75885324502177e-191
1936.57285053318425e-201.31457010663685e-191
1948.6984908894843e-201.73969817789686e-191
1954.12120357267784e-208.24240714535569e-201
1961.94201109128922e-203.88402218257843e-201
1972.09556549845545e-204.19113099691091e-201
1981.06052386111325e-202.1210477222265e-201
1991.52610884837591e-203.05221769675182e-201
2002.10148274739357e-194.20296549478714e-191
2019.57366854379656e-201.91473370875931e-191
2027.84932027484652e-201.5698640549693e-191
2034.14883385682176e-198.29766771364352e-191
2044.52272337162255e-189.0454467432451e-181
2052.24976624413716e-184.49953248827431e-181
2061.37875604775112e-182.75751209550224e-181
2077.58222779837163e-191.51644555967433e-181
2083.46705043526281e-196.93410087052563e-191
2095.48131390647802e-191.0962627812956e-181
2103.13798994130577e-196.27597988261154e-191
2111.34895166506304e-192.69790333012608e-191
2125.83909437466646e-201.16781887493329e-191
2133.80483022694635e-207.6096604538927e-201
2142.21548795588016e-204.43097591176032e-201
2151.69121668349302e-203.38243336698603e-201
2161.49699983016354e-202.99399966032708e-201
2171.4153415931395e-202.830683186279e-201
2181.37599624143006e-192.75199248286012e-191
2198.76055922803037e-201.75211184560607e-191
2206.78624129795191e-201.35724825959038e-191
2212.85699947450754e-205.71399894901507e-201
2222.18555817455634e-194.37111634911267e-191
2231.31374777440662e-172.62749554881323e-171
2242.57664081316578e-175.15328162633157e-171
2254.15676867164098e-178.31353734328196e-171
2262.15997310852666e-174.31994621705332e-171
2278.0088132190147e-171.60176264380294e-161
2281.76280164467595e-163.5256032893519e-161
2296.01824144962783e-161.20364828992557e-151
2301.08211022155611e-142.16422044311222e-140.99999999999999
2315.57420969309252e-151.1148419386185e-140.999999999999994
2326.53513142433404e-151.30702628486681e-140.999999999999993
2333.06488784906519e-156.12977569813038e-150.999999999999997
2343.13663562746179e-156.27327125492358e-150.999999999999997
2351.72624751003129e-153.45249502006259e-150.999999999999998
2361.27809464705435e-152.55618929410871e-150.999999999999999
2372.07226916651286e-154.14453833302573e-150.999999999999998
2381.78599714713447e-153.57199429426893e-150.999999999999998
2391.05074761828323e-152.10149523656646e-151
2402.03357848885156e-154.06715697770312e-150.999999999999998
2414.08059185073576e-158.16118370147151e-150.999999999999996
2423.71745035099927e-157.43490070199854e-150.999999999999996
2432.01721396212135e-144.03442792424269e-140.99999999999998
2441.14610154363694e-142.29220308727388e-140.999999999999989
2458.80224635597465e-131.76044927119493e-120.99999999999912
2464.32550359965161e-138.65100719930321e-130.999999999999567
2472.0102368954104e-134.0204737908208e-130.999999999999799
2481.54918916550948e-133.09837833101896e-130.999999999999845
2492.13400086449224e-114.26800172898448e-110.99999999997866
2501.82759728902284e-113.65519457804568e-110.999999999981724
2517.898551360062e-121.5797102720124e-110.999999999992101
2529.9132213309722e-121.98264426619444e-110.999999999990087
2532.84685729815182e-115.69371459630363e-110.999999999971531
2546.61949092194962e-111.32389818438992e-100.999999999933805
2554.39514907704175e-118.79029815408349e-110.999999999956048
2561.65439515131452e-093.30879030262903e-090.999999998345605
2571.06426556614982e-092.12853113229964e-090.999999998935734
2586.92470656863751e-101.3849413137275e-090.99999999930753
2591.04830313728865e-092.09660627457729e-090.999999998951697
2604.17250815906727e-108.34501631813454e-100.99999999958275
2619.97951004766283e-091.99590200953257e-080.99999999002049
2624.78889990295073e-099.57779980590147e-090.9999999952111
2631.81739078083518e-093.63478156167036e-090.99999999818261
2647.10277923716223e-101.42055584743245e-090.999999999289722
2655.1364836516066e-061.02729673032132e-050.999994863516348
2661.62030365953473e-053.24060731906946e-050.999983796963405
2670.0002869047244466220.0005738094488932440.999713095275553
2680.0003365332740789280.0006730665481578560.999663466725921
2690.1106777294854410.2213554589708820.889322270514559
2700.09714201332334320.1942840266466860.902857986676657
2710.2064201224005350.4128402448010690.793579877599465

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
21 & 0.441984457106752 & 0.883968914213504 & 0.558015542893248 \tabularnewline
22 & 0.32496436415149 & 0.649928728302981 & 0.67503563584851 \tabularnewline
23 & 0.211569306027234 & 0.423138612054467 & 0.788430693972766 \tabularnewline
24 & 0.17065073044106 & 0.341301460882121 & 0.82934926955894 \tabularnewline
25 & 0.125998706785029 & 0.251997413570057 & 0.874001293214971 \tabularnewline
26 & 0.0878905118613512 & 0.175781023722702 & 0.912109488138649 \tabularnewline
27 & 0.0500760242558651 & 0.10015204851173 & 0.949923975744135 \tabularnewline
28 & 0.027373868843222 & 0.0547477376864439 & 0.972626131156778 \tabularnewline
29 & 0.0156397542820077 & 0.0312795085640154 & 0.984360245717992 \tabularnewline
30 & 0.00981807368919141 & 0.0196361473783828 & 0.990181926310809 \tabularnewline
31 & 0.00520225428655282 & 0.0104045085731056 & 0.994797745713447 \tabularnewline
32 & 0.00424806773948254 & 0.00849613547896508 & 0.995751932260518 \tabularnewline
33 & 0.00294500523587494 & 0.00589001047174988 & 0.997054994764125 \tabularnewline
34 & 0.00170141706957953 & 0.00340283413915906 & 0.99829858293042 \tabularnewline
35 & 0.00183042065620253 & 0.00366084131240506 & 0.998169579343797 \tabularnewline
36 & 0.000959663811941066 & 0.00191932762388213 & 0.99904033618806 \tabularnewline
37 & 0.000484680034262357 & 0.000969360068524713 & 0.999515319965738 \tabularnewline
38 & 0.000263025229734213 & 0.000526050459468425 & 0.999736974770266 \tabularnewline
39 & 0.000123296943634685 & 0.00024659388726937 & 0.999876703056365 \tabularnewline
40 & 5.68144626080608e-05 & 0.000113628925216122 & 0.999943185537392 \tabularnewline
41 & 6.84889710057791e-05 & 0.000136977942011558 & 0.999931511028994 \tabularnewline
42 & 3.42398203712728e-05 & 6.84796407425455e-05 & 0.999965760179629 \tabularnewline
43 & 2.01393133099754e-05 & 4.02786266199507e-05 & 0.99997986068669 \tabularnewline
44 & 9.35866583232377e-06 & 1.87173316646475e-05 & 0.999990641334168 \tabularnewline
45 & 4.24019789363078e-06 & 8.48039578726156e-06 & 0.999995759802106 \tabularnewline
46 & 1.83645228430888e-06 & 3.67290456861776e-06 & 0.999998163547716 \tabularnewline
47 & 8.2831559657551e-07 & 1.65663119315102e-06 & 0.999999171684403 \tabularnewline
48 & 6.263719370493e-07 & 1.2527438740986e-06 & 0.999999373628063 \tabularnewline
49 & 3.16219577837365e-07 & 6.3243915567473e-07 & 0.999999683780422 \tabularnewline
50 & 1.45818424215487e-07 & 2.91636848430973e-07 & 0.999999854181576 \tabularnewline
51 & 1.18488275968318e-07 & 2.36976551936635e-07 & 0.999999881511724 \tabularnewline
52 & 4.06102281101579e-06 & 8.12204562203157e-06 & 0.99999593897719 \tabularnewline
53 & 3.56217675852157e-05 & 7.12435351704315e-05 & 0.999964378232415 \tabularnewline
54 & 1.947564298864e-05 & 3.895128597728e-05 & 0.999980524357011 \tabularnewline
55 & 1.3013899600472e-05 & 2.60277992009439e-05 & 0.9999869861004 \tabularnewline
56 & 7.15610825826488e-06 & 1.43122165165298e-05 & 0.999992843891742 \tabularnewline
57 & 3.74576479757412e-06 & 7.49152959514824e-06 & 0.999996254235202 \tabularnewline
58 & 2.90813245833798e-06 & 5.81626491667596e-06 & 0.999997091867542 \tabularnewline
59 & 4.18877468037541e-06 & 8.37754936075082e-06 & 0.99999581122532 \tabularnewline
60 & 2.32283329716138e-06 & 4.64566659432275e-06 & 0.999997677166703 \tabularnewline
61 & 1.25186571631027e-06 & 2.50373143262053e-06 & 0.999998748134284 \tabularnewline
62 & 6.3252323578707e-07 & 1.26504647157414e-06 & 0.999999367476764 \tabularnewline
63 & 3.60925655191494e-07 & 7.21851310382989e-07 & 0.999999639074345 \tabularnewline
64 & 4.41180772890756e-07 & 8.82361545781511e-07 & 0.999999558819227 \tabularnewline
65 & 2.27469155525075e-07 & 4.5493831105015e-07 & 0.999999772530844 \tabularnewline
66 & 1.41326581990587e-07 & 2.82653163981174e-07 & 0.999999858673418 \tabularnewline
67 & 9.22609529080083e-08 & 1.84521905816017e-07 & 0.999999907739047 \tabularnewline
68 & 9.82159562395928e-08 & 1.96431912479186e-07 & 0.999999901784044 \tabularnewline
69 & 4.9150752886882e-08 & 9.8301505773764e-08 & 0.999999950849247 \tabularnewline
70 & 2.65186381796402e-08 & 5.30372763592805e-08 & 0.999999973481362 \tabularnewline
71 & 1.9313963888313e-08 & 3.86279277766261e-08 & 0.999999980686036 \tabularnewline
72 & 9.71490763694468e-09 & 1.94298152738894e-08 & 0.999999990285092 \tabularnewline
73 & 5.3153381627554e-09 & 1.06306763255108e-08 & 0.999999994684662 \tabularnewline
74 & 2.78789443770011e-09 & 5.57578887540022e-09 & 0.999999997212106 \tabularnewline
75 & 2.82310538735412e-09 & 5.64621077470824e-09 & 0.999999997176895 \tabularnewline
76 & 1.97197850849061e-09 & 3.94395701698122e-09 & 0.999999998028022 \tabularnewline
77 & 1.01261482656667e-09 & 2.02522965313334e-09 & 0.999999998987385 \tabularnewline
78 & 5.33550143505433e-10 & 1.06710028701087e-09 & 0.99999999946645 \tabularnewline
79 & 2.64482447559537e-10 & 5.28964895119073e-10 & 0.999999999735518 \tabularnewline
80 & 1.46445100594709e-10 & 2.92890201189418e-10 & 0.999999999853555 \tabularnewline
81 & 7.18934154729491e-11 & 1.43786830945898e-10 & 0.999999999928107 \tabularnewline
82 & 5.72108112686186e-11 & 1.14421622537237e-10 & 0.99999999994279 \tabularnewline
83 & 3.32643631819141e-11 & 6.65287263638282e-11 & 0.999999999966736 \tabularnewline
84 & 1.62517303488265e-11 & 3.2503460697653e-11 & 0.999999999983748 \tabularnewline
85 & 7.51005446817597e-12 & 1.50201089363519e-11 & 0.99999999999249 \tabularnewline
86 & 3.35227488088555e-12 & 6.7045497617711e-12 & 0.999999999996648 \tabularnewline
87 & 1.53800178534172e-12 & 3.07600357068345e-12 & 0.999999999998462 \tabularnewline
88 & 8.45606112946412e-13 & 1.69121222589282e-12 & 0.999999999999154 \tabularnewline
89 & 6.55815184886626e-13 & 1.31163036977325e-12 & 0.999999999999344 \tabularnewline
90 & 3.36668394649785e-13 & 6.7333678929957e-13 & 0.999999999999663 \tabularnewline
91 & 1.85980518524856e-13 & 3.71961037049713e-13 & 0.999999999999814 \tabularnewline
92 & 1.13463085941468e-13 & 2.26926171882936e-13 & 0.999999999999887 \tabularnewline
93 & 4.98717083440266e-14 & 9.97434166880533e-14 & 0.99999999999995 \tabularnewline
94 & 2.37871827723624e-14 & 4.75743655447247e-14 & 0.999999999999976 \tabularnewline
95 & 1.51374378917373e-14 & 3.02748757834745e-14 & 0.999999999999985 \tabularnewline
96 & 7.07081023003154e-15 & 1.41416204600631e-14 & 0.999999999999993 \tabularnewline
97 & 3.21740594666885e-15 & 6.4348118933377e-15 & 0.999999999999997 \tabularnewline
98 & 1.36251120612822e-15 & 2.72502241225644e-15 & 0.999999999999999 \tabularnewline
99 & 5.75107896443818e-16 & 1.15021579288764e-15 & 1 \tabularnewline
100 & 4.81632735850257e-16 & 9.63265471700515e-16 & 1 \tabularnewline
101 & 2.32263916542185e-16 & 4.6452783308437e-16 & 1 \tabularnewline
102 & 1.10133440585682e-16 & 2.20266881171365e-16 & 1 \tabularnewline
103 & 6.563563096533e-17 & 1.3127126193066e-16 & 1 \tabularnewline
104 & 3.11093534439583e-17 & 6.22187068879166e-17 & 1 \tabularnewline
105 & 1.24894757860082e-17 & 2.49789515720163e-17 & 1 \tabularnewline
106 & 5.24231203191492e-18 & 1.04846240638298e-17 & 1 \tabularnewline
107 & 3.87217660120621e-18 & 7.74435320241242e-18 & 1 \tabularnewline
108 & 1.83343769473551e-18 & 3.66687538947102e-18 & 1 \tabularnewline
109 & 8.29592217588289e-19 & 1.65918443517658e-18 & 1 \tabularnewline
110 & 3.70016234471112e-19 & 7.40032468942224e-19 & 1 \tabularnewline
111 & 1.76052247367953e-19 & 3.52104494735907e-19 & 1 \tabularnewline
112 & 7.14641596229363e-20 & 1.42928319245873e-19 & 1 \tabularnewline
113 & 2.94735571983167e-20 & 5.89471143966333e-20 & 1 \tabularnewline
114 & 1.95429343187327e-20 & 3.90858686374654e-20 & 1 \tabularnewline
115 & 1.15680515124678e-20 & 2.31361030249356e-20 & 1 \tabularnewline
116 & 5.98259397256529e-21 & 1.19651879451306e-20 & 1 \tabularnewline
117 & 2.8226237080463e-21 & 5.6452474160926e-21 & 1 \tabularnewline
118 & 1.18027260397414e-21 & 2.36054520794828e-21 & 1 \tabularnewline
119 & 4.93801531629108e-22 & 9.87603063258216e-22 & 1 \tabularnewline
120 & 2.02910331669608e-22 & 4.05820663339215e-22 & 1 \tabularnewline
121 & 1.08601589525981e-22 & 2.17203179051961e-22 & 1 \tabularnewline
122 & 4.58045443754556e-23 & 9.16090887509112e-23 & 1 \tabularnewline
123 & 2.28705479982762e-23 & 4.57410959965525e-23 & 1 \tabularnewline
124 & 8.64471335779579e-24 & 1.72894267155916e-23 & 1 \tabularnewline
125 & 2.33676100543505e-23 & 4.67352201087011e-23 & 1 \tabularnewline
126 & 1.1199937296683e-23 & 2.23998745933661e-23 & 1 \tabularnewline
127 & 4.06854467277726e-24 & 8.13708934555452e-24 & 1 \tabularnewline
128 & 1.32703581764546e-23 & 2.65407163529092e-23 & 1 \tabularnewline
129 & 4.86684757969807e-24 & 9.73369515939615e-24 & 1 \tabularnewline
130 & 1.90359821015004e-24 & 3.80719642030008e-24 & 1 \tabularnewline
131 & 6.98972974027952e-25 & 1.3979459480559e-24 & 1 \tabularnewline
132 & 3.36056325557561e-25 & 6.72112651115121e-25 & 1 \tabularnewline
133 & 3.2857016569053e-25 & 6.5714033138106e-25 & 1 \tabularnewline
134 & 1.4564062256099e-25 & 2.91281245121979e-25 & 1 \tabularnewline
135 & 1.36247443656436e-25 & 2.72494887312872e-25 & 1 \tabularnewline
136 & 5.01235178764589e-26 & 1.00247035752918e-25 & 1 \tabularnewline
137 & 1.9384506374411e-26 & 3.87690127488221e-26 & 1 \tabularnewline
138 & 1.63353922461197e-26 & 3.26707844922394e-26 & 1 \tabularnewline
139 & 6.45623652291113e-27 & 1.29124730458223e-26 & 1 \tabularnewline
140 & 2.32261270023293e-27 & 4.64522540046586e-27 & 1 \tabularnewline
141 & 1.29595025162829e-27 & 2.59190050325657e-27 & 1 \tabularnewline
142 & 4.6958959129343e-28 & 9.3917918258686e-28 & 1 \tabularnewline
143 & 2.54216235914236e-28 & 5.08432471828471e-28 & 1 \tabularnewline
144 & 8.71965606387456e-29 & 1.74393121277491e-28 & 1 \tabularnewline
145 & 3.4514751706049e-29 & 6.9029503412098e-29 & 1 \tabularnewline
146 & 1.48876698916517e-29 & 2.97753397833033e-29 & 1 \tabularnewline
147 & 5.55478566294184e-30 & 1.11095713258837e-29 & 1 \tabularnewline
148 & 4.93883025019184e-30 & 9.87766050038368e-30 & 1 \tabularnewline
149 & 1.76590495671335e-30 & 3.5318099134267e-30 & 1 \tabularnewline
150 & 1.80965092559433e-30 & 3.61930185118865e-30 & 1 \tabularnewline
151 & 6.40229078146793e-31 & 1.28045815629359e-30 & 1 \tabularnewline
152 & 4.67169006401349e-31 & 9.34338012802698e-31 & 1 \tabularnewline
153 & 1.65901564141412e-31 & 3.31803128282825e-31 & 1 \tabularnewline
154 & 7.04850808952563e-32 & 1.40970161790513e-31 & 1 \tabularnewline
155 & 5.46647545837656e-32 & 1.09329509167531e-31 & 1 \tabularnewline
156 & 2.20049864355548e-32 & 4.40099728711095e-32 & 1 \tabularnewline
157 & 9.01477362745882e-33 & 1.80295472549176e-32 & 1 \tabularnewline
158 & 5.22394637438534e-33 & 1.04478927487707e-32 & 1 \tabularnewline
159 & 8.23614787968446e-33 & 1.64722957593689e-32 & 1 \tabularnewline
160 & 2.70323367935875e-33 & 5.4064673587175e-33 & 1 \tabularnewline
161 & 9.13979705463894e-33 & 1.82795941092779e-32 & 1 \tabularnewline
162 & 4.58321476495492e-33 & 9.16642952990984e-33 & 1 \tabularnewline
163 & 1.02154161070719e-30 & 2.04308322141439e-30 & 1 \tabularnewline
164 & 8.97628283268059e-31 & 1.79525656653612e-30 & 1 \tabularnewline
165 & 3.73199502380142e-31 & 7.46399004760283e-31 & 1 \tabularnewline
166 & 7.2130278001918e-30 & 1.44260556003836e-29 & 1 \tabularnewline
167 & 2.57781825513688e-30 & 5.15563651027375e-30 & 1 \tabularnewline
168 & 1.69507602986949e-29 & 3.39015205973899e-29 & 1 \tabularnewline
169 & 1.5764012680633e-24 & 3.1528025361266e-24 & 1 \tabularnewline
170 & 6.3888095941148e-25 & 1.27776191882296e-24 & 1 \tabularnewline
171 & 2.6342533314448e-25 & 5.2685066628896e-25 & 1 \tabularnewline
172 & 4.4924699012122e-25 & 8.9849398024244e-25 & 1 \tabularnewline
173 & 3.20587673388667e-24 & 6.41175346777335e-24 & 1 \tabularnewline
174 & 1.46189990096795e-24 & 2.9237998019359e-24 & 1 \tabularnewline
175 & 1.72955987799429e-24 & 3.45911975598857e-24 & 1 \tabularnewline
176 & 2.34126185598544e-19 & 4.68252371197088e-19 & 1 \tabularnewline
177 & 1.25121859794183e-19 & 2.50243719588365e-19 & 1 \tabularnewline
178 & 3.01315920355484e-19 & 6.02631840710968e-19 & 1 \tabularnewline
179 & 2.41773087606649e-19 & 4.83546175213297e-19 & 1 \tabularnewline
180 & 2.80501162795987e-19 & 5.61002325591975e-19 & 1 \tabularnewline
181 & 2.99668358899583e-19 & 5.99336717799167e-19 & 1 \tabularnewline
182 & 1.59848739063012e-19 & 3.19697478126024e-19 & 1 \tabularnewline
183 & 2.17778766811536e-19 & 4.35557533623073e-19 & 1 \tabularnewline
184 & 1.08933699694702e-19 & 2.17867399389405e-19 & 1 \tabularnewline
185 & 7.42421390765344e-20 & 1.48484278153069e-19 & 1 \tabularnewline
186 & 5.43357868173468e-19 & 1.08671573634694e-18 & 1 \tabularnewline
187 & 2.51549696081426e-19 & 5.03099392162852e-19 & 1 \tabularnewline
188 & 1.44978631161833e-19 & 2.89957262323666e-19 & 1 \tabularnewline
189 & 8.82971331452787e-20 & 1.76594266290557e-19 & 1 \tabularnewline
190 & 4.61793351097899e-20 & 9.23586702195797e-20 & 1 \tabularnewline
191 & 1.87693946366727e-19 & 3.75387892733453e-19 & 1 \tabularnewline
192 & 8.79426622510885e-20 & 1.75885324502177e-19 & 1 \tabularnewline
193 & 6.57285053318425e-20 & 1.31457010663685e-19 & 1 \tabularnewline
194 & 8.6984908894843e-20 & 1.73969817789686e-19 & 1 \tabularnewline
195 & 4.12120357267784e-20 & 8.24240714535569e-20 & 1 \tabularnewline
196 & 1.94201109128922e-20 & 3.88402218257843e-20 & 1 \tabularnewline
197 & 2.09556549845545e-20 & 4.19113099691091e-20 & 1 \tabularnewline
198 & 1.06052386111325e-20 & 2.1210477222265e-20 & 1 \tabularnewline
199 & 1.52610884837591e-20 & 3.05221769675182e-20 & 1 \tabularnewline
200 & 2.10148274739357e-19 & 4.20296549478714e-19 & 1 \tabularnewline
201 & 9.57366854379656e-20 & 1.91473370875931e-19 & 1 \tabularnewline
202 & 7.84932027484652e-20 & 1.5698640549693e-19 & 1 \tabularnewline
203 & 4.14883385682176e-19 & 8.29766771364352e-19 & 1 \tabularnewline
204 & 4.52272337162255e-18 & 9.0454467432451e-18 & 1 \tabularnewline
205 & 2.24976624413716e-18 & 4.49953248827431e-18 & 1 \tabularnewline
206 & 1.37875604775112e-18 & 2.75751209550224e-18 & 1 \tabularnewline
207 & 7.58222779837163e-19 & 1.51644555967433e-18 & 1 \tabularnewline
208 & 3.46705043526281e-19 & 6.93410087052563e-19 & 1 \tabularnewline
209 & 5.48131390647802e-19 & 1.0962627812956e-18 & 1 \tabularnewline
210 & 3.13798994130577e-19 & 6.27597988261154e-19 & 1 \tabularnewline
211 & 1.34895166506304e-19 & 2.69790333012608e-19 & 1 \tabularnewline
212 & 5.83909437466646e-20 & 1.16781887493329e-19 & 1 \tabularnewline
213 & 3.80483022694635e-20 & 7.6096604538927e-20 & 1 \tabularnewline
214 & 2.21548795588016e-20 & 4.43097591176032e-20 & 1 \tabularnewline
215 & 1.69121668349302e-20 & 3.38243336698603e-20 & 1 \tabularnewline
216 & 1.49699983016354e-20 & 2.99399966032708e-20 & 1 \tabularnewline
217 & 1.4153415931395e-20 & 2.830683186279e-20 & 1 \tabularnewline
218 & 1.37599624143006e-19 & 2.75199248286012e-19 & 1 \tabularnewline
219 & 8.76055922803037e-20 & 1.75211184560607e-19 & 1 \tabularnewline
220 & 6.78624129795191e-20 & 1.35724825959038e-19 & 1 \tabularnewline
221 & 2.85699947450754e-20 & 5.71399894901507e-20 & 1 \tabularnewline
222 & 2.18555817455634e-19 & 4.37111634911267e-19 & 1 \tabularnewline
223 & 1.31374777440662e-17 & 2.62749554881323e-17 & 1 \tabularnewline
224 & 2.57664081316578e-17 & 5.15328162633157e-17 & 1 \tabularnewline
225 & 4.15676867164098e-17 & 8.31353734328196e-17 & 1 \tabularnewline
226 & 2.15997310852666e-17 & 4.31994621705332e-17 & 1 \tabularnewline
227 & 8.0088132190147e-17 & 1.60176264380294e-16 & 1 \tabularnewline
228 & 1.76280164467595e-16 & 3.5256032893519e-16 & 1 \tabularnewline
229 & 6.01824144962783e-16 & 1.20364828992557e-15 & 1 \tabularnewline
230 & 1.08211022155611e-14 & 2.16422044311222e-14 & 0.99999999999999 \tabularnewline
231 & 5.57420969309252e-15 & 1.1148419386185e-14 & 0.999999999999994 \tabularnewline
232 & 6.53513142433404e-15 & 1.30702628486681e-14 & 0.999999999999993 \tabularnewline
233 & 3.06488784906519e-15 & 6.12977569813038e-15 & 0.999999999999997 \tabularnewline
234 & 3.13663562746179e-15 & 6.27327125492358e-15 & 0.999999999999997 \tabularnewline
235 & 1.72624751003129e-15 & 3.45249502006259e-15 & 0.999999999999998 \tabularnewline
236 & 1.27809464705435e-15 & 2.55618929410871e-15 & 0.999999999999999 \tabularnewline
237 & 2.07226916651286e-15 & 4.14453833302573e-15 & 0.999999999999998 \tabularnewline
238 & 1.78599714713447e-15 & 3.57199429426893e-15 & 0.999999999999998 \tabularnewline
239 & 1.05074761828323e-15 & 2.10149523656646e-15 & 1 \tabularnewline
240 & 2.03357848885156e-15 & 4.06715697770312e-15 & 0.999999999999998 \tabularnewline
241 & 4.08059185073576e-15 & 8.16118370147151e-15 & 0.999999999999996 \tabularnewline
242 & 3.71745035099927e-15 & 7.43490070199854e-15 & 0.999999999999996 \tabularnewline
243 & 2.01721396212135e-14 & 4.03442792424269e-14 & 0.99999999999998 \tabularnewline
244 & 1.14610154363694e-14 & 2.29220308727388e-14 & 0.999999999999989 \tabularnewline
245 & 8.80224635597465e-13 & 1.76044927119493e-12 & 0.99999999999912 \tabularnewline
246 & 4.32550359965161e-13 & 8.65100719930321e-13 & 0.999999999999567 \tabularnewline
247 & 2.0102368954104e-13 & 4.0204737908208e-13 & 0.999999999999799 \tabularnewline
248 & 1.54918916550948e-13 & 3.09837833101896e-13 & 0.999999999999845 \tabularnewline
249 & 2.13400086449224e-11 & 4.26800172898448e-11 & 0.99999999997866 \tabularnewline
250 & 1.82759728902284e-11 & 3.65519457804568e-11 & 0.999999999981724 \tabularnewline
251 & 7.898551360062e-12 & 1.5797102720124e-11 & 0.999999999992101 \tabularnewline
252 & 9.9132213309722e-12 & 1.98264426619444e-11 & 0.999999999990087 \tabularnewline
253 & 2.84685729815182e-11 & 5.69371459630363e-11 & 0.999999999971531 \tabularnewline
254 & 6.61949092194962e-11 & 1.32389818438992e-10 & 0.999999999933805 \tabularnewline
255 & 4.39514907704175e-11 & 8.79029815408349e-11 & 0.999999999956048 \tabularnewline
256 & 1.65439515131452e-09 & 3.30879030262903e-09 & 0.999999998345605 \tabularnewline
257 & 1.06426556614982e-09 & 2.12853113229964e-09 & 0.999999998935734 \tabularnewline
258 & 6.92470656863751e-10 & 1.3849413137275e-09 & 0.99999999930753 \tabularnewline
259 & 1.04830313728865e-09 & 2.09660627457729e-09 & 0.999999998951697 \tabularnewline
260 & 4.17250815906727e-10 & 8.34501631813454e-10 & 0.99999999958275 \tabularnewline
261 & 9.97951004766283e-09 & 1.99590200953257e-08 & 0.99999999002049 \tabularnewline
262 & 4.78889990295073e-09 & 9.57779980590147e-09 & 0.9999999952111 \tabularnewline
263 & 1.81739078083518e-09 & 3.63478156167036e-09 & 0.99999999818261 \tabularnewline
264 & 7.10277923716223e-10 & 1.42055584743245e-09 & 0.999999999289722 \tabularnewline
265 & 5.1364836516066e-06 & 1.02729673032132e-05 & 0.999994863516348 \tabularnewline
266 & 1.62030365953473e-05 & 3.24060731906946e-05 & 0.999983796963405 \tabularnewline
267 & 0.000286904724446622 & 0.000573809448893244 & 0.999713095275553 \tabularnewline
268 & 0.000336533274078928 & 0.000673066548157856 & 0.999663466725921 \tabularnewline
269 & 0.110677729485441 & 0.221355458970882 & 0.889322270514559 \tabularnewline
270 & 0.0971420133233432 & 0.194284026646686 & 0.902857986676657 \tabularnewline
271 & 0.206420122400535 & 0.412840244801069 & 0.793579877599465 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108379&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]21[/C][C]0.441984457106752[/C][C]0.883968914213504[/C][C]0.558015542893248[/C][/ROW]
[ROW][C]22[/C][C]0.32496436415149[/C][C]0.649928728302981[/C][C]0.67503563584851[/C][/ROW]
[ROW][C]23[/C][C]0.211569306027234[/C][C]0.423138612054467[/C][C]0.788430693972766[/C][/ROW]
[ROW][C]24[/C][C]0.17065073044106[/C][C]0.341301460882121[/C][C]0.82934926955894[/C][/ROW]
[ROW][C]25[/C][C]0.125998706785029[/C][C]0.251997413570057[/C][C]0.874001293214971[/C][/ROW]
[ROW][C]26[/C][C]0.0878905118613512[/C][C]0.175781023722702[/C][C]0.912109488138649[/C][/ROW]
[ROW][C]27[/C][C]0.0500760242558651[/C][C]0.10015204851173[/C][C]0.949923975744135[/C][/ROW]
[ROW][C]28[/C][C]0.027373868843222[/C][C]0.0547477376864439[/C][C]0.972626131156778[/C][/ROW]
[ROW][C]29[/C][C]0.0156397542820077[/C][C]0.0312795085640154[/C][C]0.984360245717992[/C][/ROW]
[ROW][C]30[/C][C]0.00981807368919141[/C][C]0.0196361473783828[/C][C]0.990181926310809[/C][/ROW]
[ROW][C]31[/C][C]0.00520225428655282[/C][C]0.0104045085731056[/C][C]0.994797745713447[/C][/ROW]
[ROW][C]32[/C][C]0.00424806773948254[/C][C]0.00849613547896508[/C][C]0.995751932260518[/C][/ROW]
[ROW][C]33[/C][C]0.00294500523587494[/C][C]0.00589001047174988[/C][C]0.997054994764125[/C][/ROW]
[ROW][C]34[/C][C]0.00170141706957953[/C][C]0.00340283413915906[/C][C]0.99829858293042[/C][/ROW]
[ROW][C]35[/C][C]0.00183042065620253[/C][C]0.00366084131240506[/C][C]0.998169579343797[/C][/ROW]
[ROW][C]36[/C][C]0.000959663811941066[/C][C]0.00191932762388213[/C][C]0.99904033618806[/C][/ROW]
[ROW][C]37[/C][C]0.000484680034262357[/C][C]0.000969360068524713[/C][C]0.999515319965738[/C][/ROW]
[ROW][C]38[/C][C]0.000263025229734213[/C][C]0.000526050459468425[/C][C]0.999736974770266[/C][/ROW]
[ROW][C]39[/C][C]0.000123296943634685[/C][C]0.00024659388726937[/C][C]0.999876703056365[/C][/ROW]
[ROW][C]40[/C][C]5.68144626080608e-05[/C][C]0.000113628925216122[/C][C]0.999943185537392[/C][/ROW]
[ROW][C]41[/C][C]6.84889710057791e-05[/C][C]0.000136977942011558[/C][C]0.999931511028994[/C][/ROW]
[ROW][C]42[/C][C]3.42398203712728e-05[/C][C]6.84796407425455e-05[/C][C]0.999965760179629[/C][/ROW]
[ROW][C]43[/C][C]2.01393133099754e-05[/C][C]4.02786266199507e-05[/C][C]0.99997986068669[/C][/ROW]
[ROW][C]44[/C][C]9.35866583232377e-06[/C][C]1.87173316646475e-05[/C][C]0.999990641334168[/C][/ROW]
[ROW][C]45[/C][C]4.24019789363078e-06[/C][C]8.48039578726156e-06[/C][C]0.999995759802106[/C][/ROW]
[ROW][C]46[/C][C]1.83645228430888e-06[/C][C]3.67290456861776e-06[/C][C]0.999998163547716[/C][/ROW]
[ROW][C]47[/C][C]8.2831559657551e-07[/C][C]1.65663119315102e-06[/C][C]0.999999171684403[/C][/ROW]
[ROW][C]48[/C][C]6.263719370493e-07[/C][C]1.2527438740986e-06[/C][C]0.999999373628063[/C][/ROW]
[ROW][C]49[/C][C]3.16219577837365e-07[/C][C]6.3243915567473e-07[/C][C]0.999999683780422[/C][/ROW]
[ROW][C]50[/C][C]1.45818424215487e-07[/C][C]2.91636848430973e-07[/C][C]0.999999854181576[/C][/ROW]
[ROW][C]51[/C][C]1.18488275968318e-07[/C][C]2.36976551936635e-07[/C][C]0.999999881511724[/C][/ROW]
[ROW][C]52[/C][C]4.06102281101579e-06[/C][C]8.12204562203157e-06[/C][C]0.99999593897719[/C][/ROW]
[ROW][C]53[/C][C]3.56217675852157e-05[/C][C]7.12435351704315e-05[/C][C]0.999964378232415[/C][/ROW]
[ROW][C]54[/C][C]1.947564298864e-05[/C][C]3.895128597728e-05[/C][C]0.999980524357011[/C][/ROW]
[ROW][C]55[/C][C]1.3013899600472e-05[/C][C]2.60277992009439e-05[/C][C]0.9999869861004[/C][/ROW]
[ROW][C]56[/C][C]7.15610825826488e-06[/C][C]1.43122165165298e-05[/C][C]0.999992843891742[/C][/ROW]
[ROW][C]57[/C][C]3.74576479757412e-06[/C][C]7.49152959514824e-06[/C][C]0.999996254235202[/C][/ROW]
[ROW][C]58[/C][C]2.90813245833798e-06[/C][C]5.81626491667596e-06[/C][C]0.999997091867542[/C][/ROW]
[ROW][C]59[/C][C]4.18877468037541e-06[/C][C]8.37754936075082e-06[/C][C]0.99999581122532[/C][/ROW]
[ROW][C]60[/C][C]2.32283329716138e-06[/C][C]4.64566659432275e-06[/C][C]0.999997677166703[/C][/ROW]
[ROW][C]61[/C][C]1.25186571631027e-06[/C][C]2.50373143262053e-06[/C][C]0.999998748134284[/C][/ROW]
[ROW][C]62[/C][C]6.3252323578707e-07[/C][C]1.26504647157414e-06[/C][C]0.999999367476764[/C][/ROW]
[ROW][C]63[/C][C]3.60925655191494e-07[/C][C]7.21851310382989e-07[/C][C]0.999999639074345[/C][/ROW]
[ROW][C]64[/C][C]4.41180772890756e-07[/C][C]8.82361545781511e-07[/C][C]0.999999558819227[/C][/ROW]
[ROW][C]65[/C][C]2.27469155525075e-07[/C][C]4.5493831105015e-07[/C][C]0.999999772530844[/C][/ROW]
[ROW][C]66[/C][C]1.41326581990587e-07[/C][C]2.82653163981174e-07[/C][C]0.999999858673418[/C][/ROW]
[ROW][C]67[/C][C]9.22609529080083e-08[/C][C]1.84521905816017e-07[/C][C]0.999999907739047[/C][/ROW]
[ROW][C]68[/C][C]9.82159562395928e-08[/C][C]1.96431912479186e-07[/C][C]0.999999901784044[/C][/ROW]
[ROW][C]69[/C][C]4.9150752886882e-08[/C][C]9.8301505773764e-08[/C][C]0.999999950849247[/C][/ROW]
[ROW][C]70[/C][C]2.65186381796402e-08[/C][C]5.30372763592805e-08[/C][C]0.999999973481362[/C][/ROW]
[ROW][C]71[/C][C]1.9313963888313e-08[/C][C]3.86279277766261e-08[/C][C]0.999999980686036[/C][/ROW]
[ROW][C]72[/C][C]9.71490763694468e-09[/C][C]1.94298152738894e-08[/C][C]0.999999990285092[/C][/ROW]
[ROW][C]73[/C][C]5.3153381627554e-09[/C][C]1.06306763255108e-08[/C][C]0.999999994684662[/C][/ROW]
[ROW][C]74[/C][C]2.78789443770011e-09[/C][C]5.57578887540022e-09[/C][C]0.999999997212106[/C][/ROW]
[ROW][C]75[/C][C]2.82310538735412e-09[/C][C]5.64621077470824e-09[/C][C]0.999999997176895[/C][/ROW]
[ROW][C]76[/C][C]1.97197850849061e-09[/C][C]3.94395701698122e-09[/C][C]0.999999998028022[/C][/ROW]
[ROW][C]77[/C][C]1.01261482656667e-09[/C][C]2.02522965313334e-09[/C][C]0.999999998987385[/C][/ROW]
[ROW][C]78[/C][C]5.33550143505433e-10[/C][C]1.06710028701087e-09[/C][C]0.99999999946645[/C][/ROW]
[ROW][C]79[/C][C]2.64482447559537e-10[/C][C]5.28964895119073e-10[/C][C]0.999999999735518[/C][/ROW]
[ROW][C]80[/C][C]1.46445100594709e-10[/C][C]2.92890201189418e-10[/C][C]0.999999999853555[/C][/ROW]
[ROW][C]81[/C][C]7.18934154729491e-11[/C][C]1.43786830945898e-10[/C][C]0.999999999928107[/C][/ROW]
[ROW][C]82[/C][C]5.72108112686186e-11[/C][C]1.14421622537237e-10[/C][C]0.99999999994279[/C][/ROW]
[ROW][C]83[/C][C]3.32643631819141e-11[/C][C]6.65287263638282e-11[/C][C]0.999999999966736[/C][/ROW]
[ROW][C]84[/C][C]1.62517303488265e-11[/C][C]3.2503460697653e-11[/C][C]0.999999999983748[/C][/ROW]
[ROW][C]85[/C][C]7.51005446817597e-12[/C][C]1.50201089363519e-11[/C][C]0.99999999999249[/C][/ROW]
[ROW][C]86[/C][C]3.35227488088555e-12[/C][C]6.7045497617711e-12[/C][C]0.999999999996648[/C][/ROW]
[ROW][C]87[/C][C]1.53800178534172e-12[/C][C]3.07600357068345e-12[/C][C]0.999999999998462[/C][/ROW]
[ROW][C]88[/C][C]8.45606112946412e-13[/C][C]1.69121222589282e-12[/C][C]0.999999999999154[/C][/ROW]
[ROW][C]89[/C][C]6.55815184886626e-13[/C][C]1.31163036977325e-12[/C][C]0.999999999999344[/C][/ROW]
[ROW][C]90[/C][C]3.36668394649785e-13[/C][C]6.7333678929957e-13[/C][C]0.999999999999663[/C][/ROW]
[ROW][C]91[/C][C]1.85980518524856e-13[/C][C]3.71961037049713e-13[/C][C]0.999999999999814[/C][/ROW]
[ROW][C]92[/C][C]1.13463085941468e-13[/C][C]2.26926171882936e-13[/C][C]0.999999999999887[/C][/ROW]
[ROW][C]93[/C][C]4.98717083440266e-14[/C][C]9.97434166880533e-14[/C][C]0.99999999999995[/C][/ROW]
[ROW][C]94[/C][C]2.37871827723624e-14[/C][C]4.75743655447247e-14[/C][C]0.999999999999976[/C][/ROW]
[ROW][C]95[/C][C]1.51374378917373e-14[/C][C]3.02748757834745e-14[/C][C]0.999999999999985[/C][/ROW]
[ROW][C]96[/C][C]7.07081023003154e-15[/C][C]1.41416204600631e-14[/C][C]0.999999999999993[/C][/ROW]
[ROW][C]97[/C][C]3.21740594666885e-15[/C][C]6.4348118933377e-15[/C][C]0.999999999999997[/C][/ROW]
[ROW][C]98[/C][C]1.36251120612822e-15[/C][C]2.72502241225644e-15[/C][C]0.999999999999999[/C][/ROW]
[ROW][C]99[/C][C]5.75107896443818e-16[/C][C]1.15021579288764e-15[/C][C]1[/C][/ROW]
[ROW][C]100[/C][C]4.81632735850257e-16[/C][C]9.63265471700515e-16[/C][C]1[/C][/ROW]
[ROW][C]101[/C][C]2.32263916542185e-16[/C][C]4.6452783308437e-16[/C][C]1[/C][/ROW]
[ROW][C]102[/C][C]1.10133440585682e-16[/C][C]2.20266881171365e-16[/C][C]1[/C][/ROW]
[ROW][C]103[/C][C]6.563563096533e-17[/C][C]1.3127126193066e-16[/C][C]1[/C][/ROW]
[ROW][C]104[/C][C]3.11093534439583e-17[/C][C]6.22187068879166e-17[/C][C]1[/C][/ROW]
[ROW][C]105[/C][C]1.24894757860082e-17[/C][C]2.49789515720163e-17[/C][C]1[/C][/ROW]
[ROW][C]106[/C][C]5.24231203191492e-18[/C][C]1.04846240638298e-17[/C][C]1[/C][/ROW]
[ROW][C]107[/C][C]3.87217660120621e-18[/C][C]7.74435320241242e-18[/C][C]1[/C][/ROW]
[ROW][C]108[/C][C]1.83343769473551e-18[/C][C]3.66687538947102e-18[/C][C]1[/C][/ROW]
[ROW][C]109[/C][C]8.29592217588289e-19[/C][C]1.65918443517658e-18[/C][C]1[/C][/ROW]
[ROW][C]110[/C][C]3.70016234471112e-19[/C][C]7.40032468942224e-19[/C][C]1[/C][/ROW]
[ROW][C]111[/C][C]1.76052247367953e-19[/C][C]3.52104494735907e-19[/C][C]1[/C][/ROW]
[ROW][C]112[/C][C]7.14641596229363e-20[/C][C]1.42928319245873e-19[/C][C]1[/C][/ROW]
[ROW][C]113[/C][C]2.94735571983167e-20[/C][C]5.89471143966333e-20[/C][C]1[/C][/ROW]
[ROW][C]114[/C][C]1.95429343187327e-20[/C][C]3.90858686374654e-20[/C][C]1[/C][/ROW]
[ROW][C]115[/C][C]1.15680515124678e-20[/C][C]2.31361030249356e-20[/C][C]1[/C][/ROW]
[ROW][C]116[/C][C]5.98259397256529e-21[/C][C]1.19651879451306e-20[/C][C]1[/C][/ROW]
[ROW][C]117[/C][C]2.8226237080463e-21[/C][C]5.6452474160926e-21[/C][C]1[/C][/ROW]
[ROW][C]118[/C][C]1.18027260397414e-21[/C][C]2.36054520794828e-21[/C][C]1[/C][/ROW]
[ROW][C]119[/C][C]4.93801531629108e-22[/C][C]9.87603063258216e-22[/C][C]1[/C][/ROW]
[ROW][C]120[/C][C]2.02910331669608e-22[/C][C]4.05820663339215e-22[/C][C]1[/C][/ROW]
[ROW][C]121[/C][C]1.08601589525981e-22[/C][C]2.17203179051961e-22[/C][C]1[/C][/ROW]
[ROW][C]122[/C][C]4.58045443754556e-23[/C][C]9.16090887509112e-23[/C][C]1[/C][/ROW]
[ROW][C]123[/C][C]2.28705479982762e-23[/C][C]4.57410959965525e-23[/C][C]1[/C][/ROW]
[ROW][C]124[/C][C]8.64471335779579e-24[/C][C]1.72894267155916e-23[/C][C]1[/C][/ROW]
[ROW][C]125[/C][C]2.33676100543505e-23[/C][C]4.67352201087011e-23[/C][C]1[/C][/ROW]
[ROW][C]126[/C][C]1.1199937296683e-23[/C][C]2.23998745933661e-23[/C][C]1[/C][/ROW]
[ROW][C]127[/C][C]4.06854467277726e-24[/C][C]8.13708934555452e-24[/C][C]1[/C][/ROW]
[ROW][C]128[/C][C]1.32703581764546e-23[/C][C]2.65407163529092e-23[/C][C]1[/C][/ROW]
[ROW][C]129[/C][C]4.86684757969807e-24[/C][C]9.73369515939615e-24[/C][C]1[/C][/ROW]
[ROW][C]130[/C][C]1.90359821015004e-24[/C][C]3.80719642030008e-24[/C][C]1[/C][/ROW]
[ROW][C]131[/C][C]6.98972974027952e-25[/C][C]1.3979459480559e-24[/C][C]1[/C][/ROW]
[ROW][C]132[/C][C]3.36056325557561e-25[/C][C]6.72112651115121e-25[/C][C]1[/C][/ROW]
[ROW][C]133[/C][C]3.2857016569053e-25[/C][C]6.5714033138106e-25[/C][C]1[/C][/ROW]
[ROW][C]134[/C][C]1.4564062256099e-25[/C][C]2.91281245121979e-25[/C][C]1[/C][/ROW]
[ROW][C]135[/C][C]1.36247443656436e-25[/C][C]2.72494887312872e-25[/C][C]1[/C][/ROW]
[ROW][C]136[/C][C]5.01235178764589e-26[/C][C]1.00247035752918e-25[/C][C]1[/C][/ROW]
[ROW][C]137[/C][C]1.9384506374411e-26[/C][C]3.87690127488221e-26[/C][C]1[/C][/ROW]
[ROW][C]138[/C][C]1.63353922461197e-26[/C][C]3.26707844922394e-26[/C][C]1[/C][/ROW]
[ROW][C]139[/C][C]6.45623652291113e-27[/C][C]1.29124730458223e-26[/C][C]1[/C][/ROW]
[ROW][C]140[/C][C]2.32261270023293e-27[/C][C]4.64522540046586e-27[/C][C]1[/C][/ROW]
[ROW][C]141[/C][C]1.29595025162829e-27[/C][C]2.59190050325657e-27[/C][C]1[/C][/ROW]
[ROW][C]142[/C][C]4.6958959129343e-28[/C][C]9.3917918258686e-28[/C][C]1[/C][/ROW]
[ROW][C]143[/C][C]2.54216235914236e-28[/C][C]5.08432471828471e-28[/C][C]1[/C][/ROW]
[ROW][C]144[/C][C]8.71965606387456e-29[/C][C]1.74393121277491e-28[/C][C]1[/C][/ROW]
[ROW][C]145[/C][C]3.4514751706049e-29[/C][C]6.9029503412098e-29[/C][C]1[/C][/ROW]
[ROW][C]146[/C][C]1.48876698916517e-29[/C][C]2.97753397833033e-29[/C][C]1[/C][/ROW]
[ROW][C]147[/C][C]5.55478566294184e-30[/C][C]1.11095713258837e-29[/C][C]1[/C][/ROW]
[ROW][C]148[/C][C]4.93883025019184e-30[/C][C]9.87766050038368e-30[/C][C]1[/C][/ROW]
[ROW][C]149[/C][C]1.76590495671335e-30[/C][C]3.5318099134267e-30[/C][C]1[/C][/ROW]
[ROW][C]150[/C][C]1.80965092559433e-30[/C][C]3.61930185118865e-30[/C][C]1[/C][/ROW]
[ROW][C]151[/C][C]6.40229078146793e-31[/C][C]1.28045815629359e-30[/C][C]1[/C][/ROW]
[ROW][C]152[/C][C]4.67169006401349e-31[/C][C]9.34338012802698e-31[/C][C]1[/C][/ROW]
[ROW][C]153[/C][C]1.65901564141412e-31[/C][C]3.31803128282825e-31[/C][C]1[/C][/ROW]
[ROW][C]154[/C][C]7.04850808952563e-32[/C][C]1.40970161790513e-31[/C][C]1[/C][/ROW]
[ROW][C]155[/C][C]5.46647545837656e-32[/C][C]1.09329509167531e-31[/C][C]1[/C][/ROW]
[ROW][C]156[/C][C]2.20049864355548e-32[/C][C]4.40099728711095e-32[/C][C]1[/C][/ROW]
[ROW][C]157[/C][C]9.01477362745882e-33[/C][C]1.80295472549176e-32[/C][C]1[/C][/ROW]
[ROW][C]158[/C][C]5.22394637438534e-33[/C][C]1.04478927487707e-32[/C][C]1[/C][/ROW]
[ROW][C]159[/C][C]8.23614787968446e-33[/C][C]1.64722957593689e-32[/C][C]1[/C][/ROW]
[ROW][C]160[/C][C]2.70323367935875e-33[/C][C]5.4064673587175e-33[/C][C]1[/C][/ROW]
[ROW][C]161[/C][C]9.13979705463894e-33[/C][C]1.82795941092779e-32[/C][C]1[/C][/ROW]
[ROW][C]162[/C][C]4.58321476495492e-33[/C][C]9.16642952990984e-33[/C][C]1[/C][/ROW]
[ROW][C]163[/C][C]1.02154161070719e-30[/C][C]2.04308322141439e-30[/C][C]1[/C][/ROW]
[ROW][C]164[/C][C]8.97628283268059e-31[/C][C]1.79525656653612e-30[/C][C]1[/C][/ROW]
[ROW][C]165[/C][C]3.73199502380142e-31[/C][C]7.46399004760283e-31[/C][C]1[/C][/ROW]
[ROW][C]166[/C][C]7.2130278001918e-30[/C][C]1.44260556003836e-29[/C][C]1[/C][/ROW]
[ROW][C]167[/C][C]2.57781825513688e-30[/C][C]5.15563651027375e-30[/C][C]1[/C][/ROW]
[ROW][C]168[/C][C]1.69507602986949e-29[/C][C]3.39015205973899e-29[/C][C]1[/C][/ROW]
[ROW][C]169[/C][C]1.5764012680633e-24[/C][C]3.1528025361266e-24[/C][C]1[/C][/ROW]
[ROW][C]170[/C][C]6.3888095941148e-25[/C][C]1.27776191882296e-24[/C][C]1[/C][/ROW]
[ROW][C]171[/C][C]2.6342533314448e-25[/C][C]5.2685066628896e-25[/C][C]1[/C][/ROW]
[ROW][C]172[/C][C]4.4924699012122e-25[/C][C]8.9849398024244e-25[/C][C]1[/C][/ROW]
[ROW][C]173[/C][C]3.20587673388667e-24[/C][C]6.41175346777335e-24[/C][C]1[/C][/ROW]
[ROW][C]174[/C][C]1.46189990096795e-24[/C][C]2.9237998019359e-24[/C][C]1[/C][/ROW]
[ROW][C]175[/C][C]1.72955987799429e-24[/C][C]3.45911975598857e-24[/C][C]1[/C][/ROW]
[ROW][C]176[/C][C]2.34126185598544e-19[/C][C]4.68252371197088e-19[/C][C]1[/C][/ROW]
[ROW][C]177[/C][C]1.25121859794183e-19[/C][C]2.50243719588365e-19[/C][C]1[/C][/ROW]
[ROW][C]178[/C][C]3.01315920355484e-19[/C][C]6.02631840710968e-19[/C][C]1[/C][/ROW]
[ROW][C]179[/C][C]2.41773087606649e-19[/C][C]4.83546175213297e-19[/C][C]1[/C][/ROW]
[ROW][C]180[/C][C]2.80501162795987e-19[/C][C]5.61002325591975e-19[/C][C]1[/C][/ROW]
[ROW][C]181[/C][C]2.99668358899583e-19[/C][C]5.99336717799167e-19[/C][C]1[/C][/ROW]
[ROW][C]182[/C][C]1.59848739063012e-19[/C][C]3.19697478126024e-19[/C][C]1[/C][/ROW]
[ROW][C]183[/C][C]2.17778766811536e-19[/C][C]4.35557533623073e-19[/C][C]1[/C][/ROW]
[ROW][C]184[/C][C]1.08933699694702e-19[/C][C]2.17867399389405e-19[/C][C]1[/C][/ROW]
[ROW][C]185[/C][C]7.42421390765344e-20[/C][C]1.48484278153069e-19[/C][C]1[/C][/ROW]
[ROW][C]186[/C][C]5.43357868173468e-19[/C][C]1.08671573634694e-18[/C][C]1[/C][/ROW]
[ROW][C]187[/C][C]2.51549696081426e-19[/C][C]5.03099392162852e-19[/C][C]1[/C][/ROW]
[ROW][C]188[/C][C]1.44978631161833e-19[/C][C]2.89957262323666e-19[/C][C]1[/C][/ROW]
[ROW][C]189[/C][C]8.82971331452787e-20[/C][C]1.76594266290557e-19[/C][C]1[/C][/ROW]
[ROW][C]190[/C][C]4.61793351097899e-20[/C][C]9.23586702195797e-20[/C][C]1[/C][/ROW]
[ROW][C]191[/C][C]1.87693946366727e-19[/C][C]3.75387892733453e-19[/C][C]1[/C][/ROW]
[ROW][C]192[/C][C]8.79426622510885e-20[/C][C]1.75885324502177e-19[/C][C]1[/C][/ROW]
[ROW][C]193[/C][C]6.57285053318425e-20[/C][C]1.31457010663685e-19[/C][C]1[/C][/ROW]
[ROW][C]194[/C][C]8.6984908894843e-20[/C][C]1.73969817789686e-19[/C][C]1[/C][/ROW]
[ROW][C]195[/C][C]4.12120357267784e-20[/C][C]8.24240714535569e-20[/C][C]1[/C][/ROW]
[ROW][C]196[/C][C]1.94201109128922e-20[/C][C]3.88402218257843e-20[/C][C]1[/C][/ROW]
[ROW][C]197[/C][C]2.09556549845545e-20[/C][C]4.19113099691091e-20[/C][C]1[/C][/ROW]
[ROW][C]198[/C][C]1.06052386111325e-20[/C][C]2.1210477222265e-20[/C][C]1[/C][/ROW]
[ROW][C]199[/C][C]1.52610884837591e-20[/C][C]3.05221769675182e-20[/C][C]1[/C][/ROW]
[ROW][C]200[/C][C]2.10148274739357e-19[/C][C]4.20296549478714e-19[/C][C]1[/C][/ROW]
[ROW][C]201[/C][C]9.57366854379656e-20[/C][C]1.91473370875931e-19[/C][C]1[/C][/ROW]
[ROW][C]202[/C][C]7.84932027484652e-20[/C][C]1.5698640549693e-19[/C][C]1[/C][/ROW]
[ROW][C]203[/C][C]4.14883385682176e-19[/C][C]8.29766771364352e-19[/C][C]1[/C][/ROW]
[ROW][C]204[/C][C]4.52272337162255e-18[/C][C]9.0454467432451e-18[/C][C]1[/C][/ROW]
[ROW][C]205[/C][C]2.24976624413716e-18[/C][C]4.49953248827431e-18[/C][C]1[/C][/ROW]
[ROW][C]206[/C][C]1.37875604775112e-18[/C][C]2.75751209550224e-18[/C][C]1[/C][/ROW]
[ROW][C]207[/C][C]7.58222779837163e-19[/C][C]1.51644555967433e-18[/C][C]1[/C][/ROW]
[ROW][C]208[/C][C]3.46705043526281e-19[/C][C]6.93410087052563e-19[/C][C]1[/C][/ROW]
[ROW][C]209[/C][C]5.48131390647802e-19[/C][C]1.0962627812956e-18[/C][C]1[/C][/ROW]
[ROW][C]210[/C][C]3.13798994130577e-19[/C][C]6.27597988261154e-19[/C][C]1[/C][/ROW]
[ROW][C]211[/C][C]1.34895166506304e-19[/C][C]2.69790333012608e-19[/C][C]1[/C][/ROW]
[ROW][C]212[/C][C]5.83909437466646e-20[/C][C]1.16781887493329e-19[/C][C]1[/C][/ROW]
[ROW][C]213[/C][C]3.80483022694635e-20[/C][C]7.6096604538927e-20[/C][C]1[/C][/ROW]
[ROW][C]214[/C][C]2.21548795588016e-20[/C][C]4.43097591176032e-20[/C][C]1[/C][/ROW]
[ROW][C]215[/C][C]1.69121668349302e-20[/C][C]3.38243336698603e-20[/C][C]1[/C][/ROW]
[ROW][C]216[/C][C]1.49699983016354e-20[/C][C]2.99399966032708e-20[/C][C]1[/C][/ROW]
[ROW][C]217[/C][C]1.4153415931395e-20[/C][C]2.830683186279e-20[/C][C]1[/C][/ROW]
[ROW][C]218[/C][C]1.37599624143006e-19[/C][C]2.75199248286012e-19[/C][C]1[/C][/ROW]
[ROW][C]219[/C][C]8.76055922803037e-20[/C][C]1.75211184560607e-19[/C][C]1[/C][/ROW]
[ROW][C]220[/C][C]6.78624129795191e-20[/C][C]1.35724825959038e-19[/C][C]1[/C][/ROW]
[ROW][C]221[/C][C]2.85699947450754e-20[/C][C]5.71399894901507e-20[/C][C]1[/C][/ROW]
[ROW][C]222[/C][C]2.18555817455634e-19[/C][C]4.37111634911267e-19[/C][C]1[/C][/ROW]
[ROW][C]223[/C][C]1.31374777440662e-17[/C][C]2.62749554881323e-17[/C][C]1[/C][/ROW]
[ROW][C]224[/C][C]2.57664081316578e-17[/C][C]5.15328162633157e-17[/C][C]1[/C][/ROW]
[ROW][C]225[/C][C]4.15676867164098e-17[/C][C]8.31353734328196e-17[/C][C]1[/C][/ROW]
[ROW][C]226[/C][C]2.15997310852666e-17[/C][C]4.31994621705332e-17[/C][C]1[/C][/ROW]
[ROW][C]227[/C][C]8.0088132190147e-17[/C][C]1.60176264380294e-16[/C][C]1[/C][/ROW]
[ROW][C]228[/C][C]1.76280164467595e-16[/C][C]3.5256032893519e-16[/C][C]1[/C][/ROW]
[ROW][C]229[/C][C]6.01824144962783e-16[/C][C]1.20364828992557e-15[/C][C]1[/C][/ROW]
[ROW][C]230[/C][C]1.08211022155611e-14[/C][C]2.16422044311222e-14[/C][C]0.99999999999999[/C][/ROW]
[ROW][C]231[/C][C]5.57420969309252e-15[/C][C]1.1148419386185e-14[/C][C]0.999999999999994[/C][/ROW]
[ROW][C]232[/C][C]6.53513142433404e-15[/C][C]1.30702628486681e-14[/C][C]0.999999999999993[/C][/ROW]
[ROW][C]233[/C][C]3.06488784906519e-15[/C][C]6.12977569813038e-15[/C][C]0.999999999999997[/C][/ROW]
[ROW][C]234[/C][C]3.13663562746179e-15[/C][C]6.27327125492358e-15[/C][C]0.999999999999997[/C][/ROW]
[ROW][C]235[/C][C]1.72624751003129e-15[/C][C]3.45249502006259e-15[/C][C]0.999999999999998[/C][/ROW]
[ROW][C]236[/C][C]1.27809464705435e-15[/C][C]2.55618929410871e-15[/C][C]0.999999999999999[/C][/ROW]
[ROW][C]237[/C][C]2.07226916651286e-15[/C][C]4.14453833302573e-15[/C][C]0.999999999999998[/C][/ROW]
[ROW][C]238[/C][C]1.78599714713447e-15[/C][C]3.57199429426893e-15[/C][C]0.999999999999998[/C][/ROW]
[ROW][C]239[/C][C]1.05074761828323e-15[/C][C]2.10149523656646e-15[/C][C]1[/C][/ROW]
[ROW][C]240[/C][C]2.03357848885156e-15[/C][C]4.06715697770312e-15[/C][C]0.999999999999998[/C][/ROW]
[ROW][C]241[/C][C]4.08059185073576e-15[/C][C]8.16118370147151e-15[/C][C]0.999999999999996[/C][/ROW]
[ROW][C]242[/C][C]3.71745035099927e-15[/C][C]7.43490070199854e-15[/C][C]0.999999999999996[/C][/ROW]
[ROW][C]243[/C][C]2.01721396212135e-14[/C][C]4.03442792424269e-14[/C][C]0.99999999999998[/C][/ROW]
[ROW][C]244[/C][C]1.14610154363694e-14[/C][C]2.29220308727388e-14[/C][C]0.999999999999989[/C][/ROW]
[ROW][C]245[/C][C]8.80224635597465e-13[/C][C]1.76044927119493e-12[/C][C]0.99999999999912[/C][/ROW]
[ROW][C]246[/C][C]4.32550359965161e-13[/C][C]8.65100719930321e-13[/C][C]0.999999999999567[/C][/ROW]
[ROW][C]247[/C][C]2.0102368954104e-13[/C][C]4.0204737908208e-13[/C][C]0.999999999999799[/C][/ROW]
[ROW][C]248[/C][C]1.54918916550948e-13[/C][C]3.09837833101896e-13[/C][C]0.999999999999845[/C][/ROW]
[ROW][C]249[/C][C]2.13400086449224e-11[/C][C]4.26800172898448e-11[/C][C]0.99999999997866[/C][/ROW]
[ROW][C]250[/C][C]1.82759728902284e-11[/C][C]3.65519457804568e-11[/C][C]0.999999999981724[/C][/ROW]
[ROW][C]251[/C][C]7.898551360062e-12[/C][C]1.5797102720124e-11[/C][C]0.999999999992101[/C][/ROW]
[ROW][C]252[/C][C]9.9132213309722e-12[/C][C]1.98264426619444e-11[/C][C]0.999999999990087[/C][/ROW]
[ROW][C]253[/C][C]2.84685729815182e-11[/C][C]5.69371459630363e-11[/C][C]0.999999999971531[/C][/ROW]
[ROW][C]254[/C][C]6.61949092194962e-11[/C][C]1.32389818438992e-10[/C][C]0.999999999933805[/C][/ROW]
[ROW][C]255[/C][C]4.39514907704175e-11[/C][C]8.79029815408349e-11[/C][C]0.999999999956048[/C][/ROW]
[ROW][C]256[/C][C]1.65439515131452e-09[/C][C]3.30879030262903e-09[/C][C]0.999999998345605[/C][/ROW]
[ROW][C]257[/C][C]1.06426556614982e-09[/C][C]2.12853113229964e-09[/C][C]0.999999998935734[/C][/ROW]
[ROW][C]258[/C][C]6.92470656863751e-10[/C][C]1.3849413137275e-09[/C][C]0.99999999930753[/C][/ROW]
[ROW][C]259[/C][C]1.04830313728865e-09[/C][C]2.09660627457729e-09[/C][C]0.999999998951697[/C][/ROW]
[ROW][C]260[/C][C]4.17250815906727e-10[/C][C]8.34501631813454e-10[/C][C]0.99999999958275[/C][/ROW]
[ROW][C]261[/C][C]9.97951004766283e-09[/C][C]1.99590200953257e-08[/C][C]0.99999999002049[/C][/ROW]
[ROW][C]262[/C][C]4.78889990295073e-09[/C][C]9.57779980590147e-09[/C][C]0.9999999952111[/C][/ROW]
[ROW][C]263[/C][C]1.81739078083518e-09[/C][C]3.63478156167036e-09[/C][C]0.99999999818261[/C][/ROW]
[ROW][C]264[/C][C]7.10277923716223e-10[/C][C]1.42055584743245e-09[/C][C]0.999999999289722[/C][/ROW]
[ROW][C]265[/C][C]5.1364836516066e-06[/C][C]1.02729673032132e-05[/C][C]0.999994863516348[/C][/ROW]
[ROW][C]266[/C][C]1.62030365953473e-05[/C][C]3.24060731906946e-05[/C][C]0.999983796963405[/C][/ROW]
[ROW][C]267[/C][C]0.000286904724446622[/C][C]0.000573809448893244[/C][C]0.999713095275553[/C][/ROW]
[ROW][C]268[/C][C]0.000336533274078928[/C][C]0.000673066548157856[/C][C]0.999663466725921[/C][/ROW]
[ROW][C]269[/C][C]0.110677729485441[/C][C]0.221355458970882[/C][C]0.889322270514559[/C][/ROW]
[ROW][C]270[/C][C]0.0971420133233432[/C][C]0.194284026646686[/C][C]0.902857986676657[/C][/ROW]
[ROW][C]271[/C][C]0.206420122400535[/C][C]0.412840244801069[/C][C]0.793579877599465[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108379&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108379&T=5

As an alternative you can also use a QR Code:  

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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
210.4419844571067520.8839689142135040.558015542893248
220.324964364151490.6499287283029810.67503563584851
230.2115693060272340.4231386120544670.788430693972766
240.170650730441060.3413014608821210.82934926955894
250.1259987067850290.2519974135700570.874001293214971
260.08789051186135120.1757810237227020.912109488138649
270.05007602425586510.100152048511730.949923975744135
280.0273738688432220.05474773768644390.972626131156778
290.01563975428200770.03127950856401540.984360245717992
300.009818073689191410.01963614737838280.990181926310809
310.005202254286552820.01040450857310560.994797745713447
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2700.09714201332334320.1942840266466860.902857986676657
2710.2064201224005350.4128402448010690.793579877599465







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2370.944223107569721NOK
5% type I error level2400.95617529880478NOK
10% type I error level2410.9601593625498NOK

\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 & 237 & 0.944223107569721 & NOK \tabularnewline
5% type I error level & 240 & 0.95617529880478 & NOK \tabularnewline
10% type I error level & 241 & 0.9601593625498 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108379&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]237[/C][C]0.944223107569721[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]240[/C][C]0.95617529880478[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]241[/C][C]0.9601593625498[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108379&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108379&T=6

As an alternative you can also use a QR Code:  

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2370.944223107569721NOK
5% type I error level2400.95617529880478NOK
10% type I error level2410.9601593625498NOK



Parameters (Session):
par1 = 1 ; par2 = Include Monthly Dummies ; par3 = Linear Trend ;
Parameters (R input):
par1 = 1 ; par2 = Include Monthly Dummies ; par3 = 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')
}