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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationMon, 05 Nov 2012 16:50:36 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Nov/05/t13521526910abrpc72weg6yl0.htm/, Retrieved Wed, 01 Feb 2023 16:02:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=186320, Retrieved Wed, 01 Feb 2023 16:02:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact89
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [WS7_Computation_1] [2012-11-05 21:50:36] [b38599bd3d78365f281c5a627888d89a] [Current]
-    D    [Multiple Regression] [] [2012-12-20 23:04:38] [6cb0b51b5c2dd1eb6ec928d35fe919a0]
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Dataseries X:
79	210907	396	3	115	94
58	120982	297	4	109	103
60	176508	559	12	146	93
108	179321	967	2	116	103
49	123185	270	1	68	51
0	52746	143	3	101	70
121	385534	1562	0	96	91
1	33170	109	0	67	22
20	101645	371	0	44	38
43	149061	656	5	100	93
69	165446	511	0	93	60
78	237213	655	0	140	123
86	173326	465	7	166	148
44	133131	525	7	99	90
104	258873	885	3	139	124
63	180083	497	9	130	70
158	324799	1436	0	181	168
102	230964	612	4	116	115
77	236785	865	3	116	71
82	135473	385	0	88	66
115	202925	567	7	139	134
101	215147	639	0	135	117
80	344297	963	1	108	108
50	153935	398	5	89	84
83	132943	410	7	156	156
123	174724	966	0	129	120
73	174415	801	0	118	114
81	225548	892	5	118	94
105	223632	513	0	125	120
47	124817	469	0	95	81
105	221698	683	0	126	110
94	210767	643	3	135	133
44	170266	535	4	154	122
114	260561	625	1	165	158
38	84853	264	4	113	109
107	294424	992	2	127	124
30	101011	238	0	52	39
71	215641	818	0	121	92
84	325107	937	0	136	126
0	7176	70	0	0	0
59	167542	507	2	108	70
33	106408	260	1	46	37
42	96560	503	0	54	38
96	265769	927	2	124	120
106	269651	1269	10	115	93
56	149112	537	6	128	95
57	175824	910	0	80	77
59	152871	532	5	97	90
39	111665	345	4	104	80
34	116408	918	1	59	31
76	362301	1635	2	125	110
20	78800	330	2	82	66
91	183167	557	0	149	138
115	277965	1178	8	149	133
85	150629	740	3	122	113
76	168809	452	0	118	100
8	24188	218	0	12	7
79	329267	764	8	144	140
21	65029	255	5	67	61
30	101097	454	3	52	41
76	218946	866	1	108	96
101	244052	574	5	166	164
94	341570	1276	1	80	78
27	103597	379	1	60	49
92	233328	825	5	107	102
123	256462	798	0	127	124
75	206161	663	12	107	99
128	311473	1069	8	146	129
105	235800	921	8	84	62
55	177939	858	8	141	73
56	207176	711	8	123	114
41	196553	503	2	111	99
72	174184	382	0	98	70
67	143246	464	5	105	104
75	187559	717	8	135	116
114	187681	690	2	107	91
118	119016	462	5	85	74
77	182192	657	12	155	138
22	73566	385	6	88	67
66	194979	577	7	155	151
69	167488	619	2	104	72
105	143756	479	0	132	120
116	275541	817	4	127	115
88	243199	752	3	108	105
73	182999	430	6	129	104
99	135649	451	2	116	108
62	152299	537	0	122	98
53	120221	519	1	85	69
118	346485	1000	0	147	111
30	145790	637	5	99	99
100	193339	465	2	87	71
49	80953	437	0	28	27
24	122774	711	0	90	69
67	130585	299	5	109	107
46	112611	248	0	78	73
57	286468	1162	1	111	107
75	241066	714	0	158	93
135	148446	905	1	141	129
68	204713	649	1	122	69
124	182079	512	2	124	118
33	140344	472	6	93	73
98	220516	905	1	124	119
58	243060	786	4	112	104
68	162765	489	2	108	107
81	182613	479	3	99	99
131	232138	617	0	117	90
110	265318	925	10	199	197
37	85574	351	0	78	36
130	310839	1144	9	91	85
93	225060	669	7	158	139
118	232317	707	0	126	106
39	144966	458	0	122	50
13	43287	214	4	71	64
74	155754	599	4	75	31
81	164709	572	0	115	63
109	201940	897	0	119	92
151	235454	819	0	124	106
51	220801	720	1	72	63
28	99466	273	0	91	69
40	92661	508	1	45	41
56	133328	506	0	78	56
27	61361	451	0	39	25
37	125930	699	4	68	65
83	100750	407	0	119	93
54	224549	465	4	117	114
27	82316	245	4	39	38
28	102010	370	3	50	44
59	101523	316	0	88	87
133	243511	603	0	155	110
12	22938	154	0	0	0
0	41566	229	5	36	27
106	152474	577	0	123	83
23	61857	192	4	32	30
44	99923	617	0	99	80
71	132487	411	0	136	98
116	317394	975	1	117	82
4	21054	146	0	0	0
62	209641	705	5	88	60
12	22648	184	0	39	28
18	31414	200	0	25	9
14	46698	274	0	52	33
60	131698	502	0	75	59
7	91735	382	0	71	49
98	244749	964	2	124	115
64	184510	537	7	151	140
29	79863	438	1	71	49
32	128423	369	8	145	120
25	97839	417	2	87	66
16	38214	276	0	27	21
48	151101	514	2	131	124
100	272458	822	0	162	152
46	172494	389	0	165	139
45	108043	466	1	54	38
129	328107	1255	3	159	144
130	250579	694	0	147	120
136	351067	1024	3	170	160
59	158015	400	0	119	114
25	98866	397	0	49	39
32	85439	350	0	104	78
63	229242	719	4	120	119
95	351619	1277	4	150	141
14	84207	356	11	112	101
36	120445	457	0	59	56
113	324598	1402	0	136	133
47	131069	600	4	107	83
92	204271	480	0	130	116
70	165543	595	1	115	90
19	141722	436	0	107	36
50	116048	230	0	75	50
41	250047	651	0	71	61
91	299775	1367	9	120	97
111	195838	564	1	116	98
41	173260	716	3	79	78
120	254488	747	10	150	117
135	104389	467	5	156	148
27	136084	671	0	51	41
87	199476	861	2	118	105
25	92499	319	0	71	55
131	224330	612	1	144	132
45	135781	433	2	47	44
29	74408	434	4	28	21
58	81240	503	0	68	50
4	14688	85	0	0	0
47	181633	564	2	110	73
109	271856	824	1	147	86
7	7199	74	0	0	0
12	46660	259	0	15	13
0	17547	69	0	4	4
37	133368	535	1	64	57
37	95227	239	0	111	48
46	152601	438	2	85	46
15	98146	459	0	68	48
42	79619	426	3	40	32
7	59194	288	6	80	68
54	139942	498	0	88	87
54	118612	454	2	48	43
14	72880	376	0	76	67
16	65475	225	2	51	46
33	99643	555	1	67	46
32	71965	252	1	59	56
21	77272	208	2	61	48
15	49289	130	1	76	44
38	135131	481	0	60	60
22	108446	389	1	68	65
28	89746	565	3	71	55
10	44296	173	0	76	38
31	77648	278	0	62	52
32	181528	609	0	61	60
32	134019	422	0	67	54
43	124064	445	1	88	86
27	92630	387	4	30	24
37	121848	339	0	64	52
20	52915	181	0	68	49
32	81872	245	0	64	61
0	58981	384	7	91	61
5	53515	212	2	88	81
26	60812	399	0	52	43
10	56375	229	7	49	40
27	65490	224	3	62	40
11	80949	203	0	61	56
29	76302	333	0	76	68
25	104011	384	6	88	79
55	98104	636	2	66	47
23	67989	185	0	71	57
5	30989	93	0	68	41
43	135458	581	3	48	29
23	73504	248	0	25	3
34	63123	304	1	68	60
36	61254	344	1	41	30
35	74914	407	0	90	79
0	31774	170	1	66	47
37	81437	312	0	54	40
28	87186	507	0	59	48
16	50090	224	0	60	36
26	65745	340	0	77	42
38	56653	168	0	68	49
23	158399	443	0	72	57
22	46455	204	0	67	12
30	73624	367	0	64	40
16	38395	210	0	63	43
18	91899	335	0	59	33
28	139526	364	0	84	77
32	52164	178	0	64	43
21	51567	206	2	56	45
23	70551	279	0	54	47
29	84856	387	1	67	43
50	102538	490	1	58	45
12	86678	238	0	59	50
21	85709	343	0	40	35
18	34662	232	0	22	7
27	150580	530	0	83	71
41	99611	291	0	81	67
13	19349	67	0	2	0
12	99373	397	1	72	62
21	86230	467	0	61	54
8	30837	178	0	15	4
26	31706	175	0	32	25
27	89806	299	0	62	40
13	62088	154	1	58	38
16	40151	106	0	36	19
2	27634	189	0	59	17
42	76990	194	0	68	67
5	37460	135	0	21	14
37	54157	201	0	55	30
17	49862	207	0	54	54
38	84337	280	0	55	35
37	64175	260	0	72	59
29	59382	227	0	41	24
32	119308	239	0	61	58
35	76702	333	0	67	42
17	103425	428	1	76	46
20	70344	230	0	64	61
7	43410	292	0	3	3
46	104838	350	1	63	52
24	62215	186	0	40	25
40	69304	326	6	69	40
3	53117	155	3	48	32
10	19764	75	1	8	4
37	86680	361	2	52	49
17	84105	261	0	66	63
28	77945	299	0	76	67
19	89113	300	0	43	32
29	91005	450	3	39	23
8	40248	183	1	14	7
10	64187	238	0	61	54
15	50857	165	0	71	37
15	56613	234	1	44	35
28	62792	176	0	60	51
17	72535	329	0	64	39




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time14 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 14 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=186320&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]14 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=186320&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=186320&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time14 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net







Multiple Linear Regression - Estimated Regression Equation
blogged_computations[t] = -10.0517006343992 + 0.000189042706281921time_in_rfc[t] + 0.0177045053191826compendium_views_info[t] -1.17116475676695shared_compendiums[t] + 0.15962793353927feedback_messages_p1[t] + 0.220292606615797feedback_messages_p120[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
blogged_computations[t] =  -10.0517006343992 +  0.000189042706281921time_in_rfc[t] +  0.0177045053191826compendium_views_info[t] -1.17116475676695shared_compendiums[t] +  0.15962793353927feedback_messages_p1[t] +  0.220292606615797feedback_messages_p120[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=186320&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]blogged_computations[t] =  -10.0517006343992 +  0.000189042706281921time_in_rfc[t] +  0.0177045053191826compendium_views_info[t] -1.17116475676695shared_compendiums[t] +  0.15962793353927feedback_messages_p1[t] +  0.220292606615797feedback_messages_p120[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=186320&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=186320&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
blogged_computations[t] = -10.0517006343992 + 0.000189042706281921time_in_rfc[t] + 0.0177045053191826compendium_views_info[t] -1.17116475676695shared_compendiums[t] + 0.15962793353927feedback_messages_p1[t] + 0.220292606615797feedback_messages_p120[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-10.05170063439922.85353-3.52250.0004980.000249
time_in_rfc0.0001890427062819213.7e-055.13491e-060
compendium_views_info0.01770450531918260.0087042.0340.0428840.021442
shared_compendiums-1.171164756766950.444476-2.63490.0088790.00444
feedback_messages_p10.159627933539270.0820661.94510.0527520.026376
feedback_messages_p1200.2202926066157970.0857262.56970.010690.005345

\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) & -10.0517006343992 & 2.85353 & -3.5225 & 0.000498 & 0.000249 \tabularnewline
time_in_rfc & 0.000189042706281921 & 3.7e-05 & 5.1349 & 1e-06 & 0 \tabularnewline
compendium_views_info & 0.0177045053191826 & 0.008704 & 2.034 & 0.042884 & 0.021442 \tabularnewline
shared_compendiums & -1.17116475676695 & 0.444476 & -2.6349 & 0.008879 & 0.00444 \tabularnewline
feedback_messages_p1 & 0.15962793353927 & 0.082066 & 1.9451 & 0.052752 & 0.026376 \tabularnewline
feedback_messages_p120 & 0.220292606615797 & 0.085726 & 2.5697 & 0.01069 & 0.005345 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=186320&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]-10.0517006343992[/C][C]2.85353[/C][C]-3.5225[/C][C]0.000498[/C][C]0.000249[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]0.000189042706281921[/C][C]3.7e-05[/C][C]5.1349[/C][C]1e-06[/C][C]0[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]0.0177045053191826[/C][C]0.008704[/C][C]2.034[/C][C]0.042884[/C][C]0.021442[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]-1.17116475676695[/C][C]0.444476[/C][C]-2.6349[/C][C]0.008879[/C][C]0.00444[/C][/ROW]
[ROW][C]feedback_messages_p1[/C][C]0.15962793353927[/C][C]0.082066[/C][C]1.9451[/C][C]0.052752[/C][C]0.026376[/C][/ROW]
[ROW][C]feedback_messages_p120[/C][C]0.220292606615797[/C][C]0.085726[/C][C]2.5697[/C][C]0.01069[/C][C]0.005345[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=186320&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=186320&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)-10.05170063439922.85353-3.52250.0004980.000249
time_in_rfc0.0001890427062819213.7e-055.13491e-060
compendium_views_info0.01770450531918260.0087042.0340.0428840.021442
shared_compendiums-1.171164756766950.444476-2.63490.0088790.00444
feedback_messages_p10.159627933539270.0820661.94510.0527520.026376
feedback_messages_p1200.2202926066157970.0857262.56970.010690.005345







Multiple Linear Regression - Regression Statistics
Multiple R0.864000580714665
R-squared0.746497003475278
Adjusted R-squared0.742018151946573
F-TEST (value)166.671522530032
F-TEST (DF numerator)5
F-TEST (DF denominator)283
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation18.7420319020022
Sum Squared Residuals99407.6440278343

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.864000580714665 \tabularnewline
R-squared & 0.746497003475278 \tabularnewline
Adjusted R-squared & 0.742018151946573 \tabularnewline
F-TEST (value) & 166.671522530032 \tabularnewline
F-TEST (DF numerator) & 5 \tabularnewline
F-TEST (DF denominator) & 283 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 18.7420319020022 \tabularnewline
Sum Squared Residuals & 99407.6440278343 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=186320&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.864000580714665[/C][/ROW]
[ROW][C]R-squared[/C][C]0.746497003475278[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.742018151946573[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]166.671522530032[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]5[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]283[/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]18.7420319020022[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]99407.6440278343[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=186320&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=186320&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 R0.864000580714665
R-squared0.746497003475278
Adjusted R-squared0.742018151946573
F-TEST (value)166.671522530032
F-TEST (DF numerator)5
F-TEST (DF denominator)283
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation18.7420319020022
Sum Squared Residuals99407.6440278343







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
17972.38093663439856.61906336560146
25853.48222634693724.51777365306278
36062.9515814702325-2.95158147023249
410879.832532400879428.1674675991206
54938.934199236427710.0658007635723
6030.4806996920614-30.4806996920614
7121125.856036219666-4.85603621966586
8113.6901459054417-12.6901459054417
92031.1266648461717-11.1266648461717
104360.3355316814355-17.3355316814355
116958.334615383321910.6653846166781
127895.8320391441598-17.8320391441598
138681.85029989732934.14970010267076
144451.841955906631-7.84195590663102
15104100.5459107884143.45408921158615
166358.42244719691024.57755280308977
17158142.67466484367115.3253351563293
1810283.611347258942518.3886527410575
197780.6692947636347-3.66929476363466
208250.961286649715331.0387133502847
2111581.85758380494333.142416195057
2210189.257455394844811.7425446051552
2380111.944828212701-31.9448282127007
245052.9506227310303-2.95062273103034
258373.4085020145259.59149798547497
2612387.108265536795235.8917344632048
277381.0509450542622-8.05094505426218
288182.0666998224706-1.06669982247061
2910587.695313571884617.3046864281154
304754.8558106523983-7.85581065239829
3110588.296172749577716.7038272504223
329488.51145379815865.48854620184137
334478.3814958842682-34.3814958842682
34114110.2444479041223.75555209587771
353848.0283211099965-10.0283211099965
36107108.416579662891-1.41657966289069
373030.1494286378676-0.149428637867586
387184.7778427089371-13.7778427089371
3984117.462795355803-33.4627953558028
400-7.455814801777347.45581480177734
415960.9150464301252-1.91504643012518
423328.9896736694594.01032633054103
434234.09865672225297.90134327774711
4496100.488713841554-4.48871384155436
4510690.523648611885715.4763513881143
465661.9773393220374-5.97733932203738
475769.0304093879275-12.0304093879276
485957.72066411232581.27933588767421
493946.7058620879697-7.70586208796965
503443.2830727286161-9.28307272861608
5176129.228875997723-53.2288759977234
522035.9738244492754-15.9738244492754
539188.62103602025752.37896397974249
54115107.0656232063697.93437679363107
558572.379125275410712.6208747245893
567670.72820279382985.27179720617016
5781.838029953511576.16197004648843
5879110.178135500517-31.1781355005167
592125.0333031356594-4.03330313565944
603030.916950402482-0.916950402482021
617683.8872876422053-7.8872876422053
62101103.017336641002-2.01733664100198
6394105.892458580001-11.8924585800006
642735.4434131040226-8.44341310402257
659282.35768380495319.64231619504687
66123100.14779592862922.8522040713711
677565.49479962446859.50520037553146
68128110.11022090159217.8897790984083
6910568.527988879187636.4720111208124
705567.996415900413-12.996415900413
715677.0795892895985-21.0795892895985
724173.1959157532692-32.1959157532692
737260.703655098493111.2963449015069
746759.05834166359327.9416583364068
757575.833485968084-0.833485968084013
7611472.428618770739741.5713812292603
7711844.641091010484673.3589089895154
787777.1109604335831-0.110960433583127
792232.4515238979345-10.4515238979344
806686.8315167631156-20.8315167631156
816962.68981619880896.31018380119108
8210573.110780718832531.8892192811675
8311697.423634836236118.5763651637639
848886.09413073728221.9058692627178
857368.63130883374184.36869116625825
869963.542597620516135.4574023794839
876269.3099171861713-7.30991718617133
885349.46124026873653.5387597312635
89118121.071052335501-3.07105233550121
903060.5429150942784-30.5429150942784
9110061.916297902965438.0837020970346
924923.406224909450125.5937750905499
932455.3124357436206-31.3124357436206
946755.043018135697111.9569818643029
954644.15964398088781.84035601911217
9657104.794465303643-47.7944653036428
977593.8695111105287-18.8695111105287
9813583.787630381895251.2123696181048
996873.6416558403554-5.64165584035535
10012476.87977483212847.120225167872
1013348.7356050081886-15.7356050081886
1029892.49533728730775.5046627126923
1035885.9168613527356-27.9168613527356
1046867.84413477125560.15586522874436
1058167.049052340800613.9509476591994
10613183.258777717925547.7412222820745
107110119.933354241109-9.9333542411089
1083732.72123393423484.27876606576516
10913091.674629932225738.3253700677743
1109391.98229742137511.01770257862491
11111889.847354948782628.1526450512174
1123955.9509659832323-16.9509659832323
1131322.6678062083628-9.66780620836283
1147444.113962519492829.8860374805072
1158163.447958090973617.5520419090264
11610983.267168643305425.7328313566947
11715192.104030647058958.8959693529411
1185168.6368424600226-17.6368424600226
1192843.3112829493389-15.3112829493389
1204031.50316339828268.4968366017174
1215648.8988297868117.10117021318904
1222721.26568533814365.73431466185637
1233746.6189564694212-9.61895646942122
1248355.68302219485427.316977805146
1255479.7354113431476-25.7354113431476
1262719.75909201146727.24090798853277
1272829.9439898992749-1.94398989927493
1285947.947820643352211.0521793566478
12913395.632610948809537.3673890511905
13012-2.9889452185503414.9889452185503
13107.69906241521349-7.69906241521349
13210666.906418706840339.0935812931597
1332312.073392114027510.9266078859725
1344453.1882674369965-9.18826743699645
1357165.56862648864675.43137351135333
136116102.78050997927113.2194900207289
1374-3.486737719738957.48673771973895
1386263.4700683678417-1.47006836784173
139129.881049949477232.11895005052277
140185.4011198026015512.5988801973984
1411419.1975586833734-5.19755868337338
1426048.701866173524311.2981338264757
143736.1811740637629-29.1811740637629
1449896.06863981923911.93136018076086
1456481.082518051352-17.082518051352
1462933.7571465958912-4.75714659589119
1473260.9705384001767-28.9705384001766
1482541.9114401646421-16.9114401646421
1491610.99491975604465.0050802439554
1504873.4981700620346-25.4981700620346
151100115.351801845092-15.3518018450916
1524686.403365865732-40.403365865732
1534534.443202664911510.5567973350885
154129127.7831712863351.21682871366467
15513099.505777378699530.4942226213005
156136133.3144400686222.68555993137822
1575971.0107659717857-12.0107659717857
1582532.0800645780251-7.08006457802509
1593246.0806244134521-14.0806244134521
1606386.6998799484979-23.6998799484979
16195129.34874853499-34.3487485349901
1621439.4148919272689-25.4148919272689
1633642.5629411038949-6.56294110389488
164113127.141215838036-14.1412158380358
1654756.0284572375208-9.02845723752083
1669283.36797830126058.63202169873955
1677068.78955895221351.21044104778653
1681949.4696968313215-30.4696968313215
1695038.945088913852411.0549110861476
1704173.5149261909161-32.5149261909161
17191100.803887468129-9.80388746812867
17211175.889736860595335.1102631394047
1734161.658200259875-20.658200259875
17412089.289442512573230.7105574874268
17513569.59972204315265.400277956848
1762744.7267315581918-17.7267315581918
1778782.52585166246834.47414833753169
1782536.5319744959485-11.5319744959485
17913194.085288667337236.9147113326628
1804538.13581592437936.86418407562066
1812916.109412214114812.8905877858852
1825836.080824810953221.9191751890468
1834-5.77015841239989.7701584123998
1844765.5681376944631-18.5681376944631
18510997.168511350049711.8314886499503
1867-7.3806487982561214.3806487982561
187128.612721807477993.38727819252201
1880-3.993275239626443.99327523962644
1893746.2341589296176-9.2341589296176
1903740.4743916684113-3.47439166841126
1914647.910483458361-1.91048345836104
1921538.0571973560797-23.0571973560797
1934222.462796346008419.5372036539916
194726.9605342455916-19.9605342455916
1955458.4328723440885-4.43287234408854
1965435.201271638851318.7987283611487
1971437.2739533916829-23.2739533916829
1981622.2415392575213-6.24153925752126
1993338.2684488944875-5.26844889448749
2003228.59756235614793.40243764385206
2012126.2075640217273-5.20756402172728
2021522.2210438903368-7.22104389033685
2033846.804928776014-8.80492877601402
2042241.3388314141423-19.3388314141423
2052836.8533539637725-8.8533539637725
2061021.8878565036682-11.8878565036682
2073130.90108732516840.0989126748315786
2083258.001747833771-26.001747833771
2093245.3457873678769-13.3457873678769
2104353.1014561084448-10.1014561084448
2112719.70217034490837.29782965509169
2123740.656005634378-3.65600563437803
2132024.8050468361252-4.80504683612518
2143233.4172443675909-1.41724436759095
215027.6625949256495-27.6625949256495
216533.366904693746-28.366904693746
2172626.2816966708922-0.281696670892213
2181013.0952333610244-3.09523336102443
2192721.48965726526655.51034273473345
2201130.9188218925903-19.9188218925903
2212937.3798564104705-8.37985641047054
2222540.8327358647579-15.8327358647579
2235538.30107701668316.698922983317
2242329.9667192654398-6.96671926543978
225517.3397591371733-12.3397591371733
2264336.37909599502476.62090400497533
2272312.885987925633610.1140120743664
2283430.16450285211733.83549714788269
2293619.600629842809516.3993701571905
2303543.0856082700943-8.0856082700943
231018.682739587031-18.682739587031
2323728.29878857241918.7012114275809
2332835.3984541486972-7.39845414869721
2341620.8914675652841-4.89146756528408
2352629.9400842590151-3.94008425901512
2363825.281529903057612.7184700969424
2372351.7854606462767-28.7854606462767
2382215.68058019756146.3194198024386
2393029.39182503618620.608174963813799
2401620.4536820877768-4.45368208777684
2411829.9398484092675-11.9398484092675
2422853.1403890651897-25.1403890651897
2433222.6496948738989.35030512610196
2442119.85379475856841.14620524143162
2452327.1986692426117-4.19866924261166
2462931.8378396832266-2.83783968322665
2475036.007990674957613.9920093250424
2481230.9804937362775-18.9804937362775
2492126.3189645759214-5.31896457592137
250185.6622056689696712.3377943310303
2512756.6876314501804-29.6876314501804
2524141.6205106888707-0.620510688870729
25313-4.8884555870865117.8884555870865
2541239.7429168969096-27.7429168969096
2552136.1505606154977-15.1505606154977
25682.204800675583185.79519932441682
257269.6557848804839516.3442151195161
2582730.9277518804573-3.92775188045729
2591320.8704511722979-7.87045117229789
260169.347395762473476.65260423752653
261211.6814794076064-9.68147940760645
2624233.55167547809628.44832452190385
26355.85623045795708-0.856230457957081
2643719.133205322000317.8667946779997
2651723.5548885556744-6.55488855567442
2663827.338633150883110.6613668491169
2673731.17376142939015.82623857060991
2682917.024723891377511.9752761086225
2693239.2482584675807-7.24825846758066
2703530.29121431911914.70878568088085
2711738.171587635963-21.171587635963
2722030.9723924697852-10.9723924697852
27374.464120418965562.53587958103444
2744636.30434606872739.69565393127266
2752416.89506183326437.10493816673574
2764021.620426954056518.3795730459435
277313.9318890709406-10.9318890709406
27810-4.0005935504941914.0005935504942
2793729.47850832102497.5214916789751
2801734.8824898961355-17.8824898961355
2812836.8682077894237-8.86820778942373
2821926.0191782001506-7.0191782001506
2832922.89788333431336.10211666568672
28483.402489240539424.59751075946058
2851027.9291605228325-17.9291605228325
2861521.9680973827183-6.96809738271831
2871518.3561338915418-3.35613389154181
2882825.74726086439322.25273913560677
2891728.2928937203005-11.2928937203005

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 79 & 72.3809366343985 & 6.61906336560146 \tabularnewline
2 & 58 & 53.4822263469372 & 4.51777365306278 \tabularnewline
3 & 60 & 62.9515814702325 & -2.95158147023249 \tabularnewline
4 & 108 & 79.8325324008794 & 28.1674675991206 \tabularnewline
5 & 49 & 38.9341992364277 & 10.0658007635723 \tabularnewline
6 & 0 & 30.4806996920614 & -30.4806996920614 \tabularnewline
7 & 121 & 125.856036219666 & -4.85603621966586 \tabularnewline
8 & 1 & 13.6901459054417 & -12.6901459054417 \tabularnewline
9 & 20 & 31.1266648461717 & -11.1266648461717 \tabularnewline
10 & 43 & 60.3355316814355 & -17.3355316814355 \tabularnewline
11 & 69 & 58.3346153833219 & 10.6653846166781 \tabularnewline
12 & 78 & 95.8320391441598 & -17.8320391441598 \tabularnewline
13 & 86 & 81.8502998973293 & 4.14970010267076 \tabularnewline
14 & 44 & 51.841955906631 & -7.84195590663102 \tabularnewline
15 & 104 & 100.545910788414 & 3.45408921158615 \tabularnewline
16 & 63 & 58.4224471969102 & 4.57755280308977 \tabularnewline
17 & 158 & 142.674664843671 & 15.3253351563293 \tabularnewline
18 & 102 & 83.6113472589425 & 18.3886527410575 \tabularnewline
19 & 77 & 80.6692947636347 & -3.66929476363466 \tabularnewline
20 & 82 & 50.9612866497153 & 31.0387133502847 \tabularnewline
21 & 115 & 81.857583804943 & 33.142416195057 \tabularnewline
22 & 101 & 89.2574553948448 & 11.7425446051552 \tabularnewline
23 & 80 & 111.944828212701 & -31.9448282127007 \tabularnewline
24 & 50 & 52.9506227310303 & -2.95062273103034 \tabularnewline
25 & 83 & 73.408502014525 & 9.59149798547497 \tabularnewline
26 & 123 & 87.1082655367952 & 35.8917344632048 \tabularnewline
27 & 73 & 81.0509450542622 & -8.05094505426218 \tabularnewline
28 & 81 & 82.0666998224706 & -1.06669982247061 \tabularnewline
29 & 105 & 87.6953135718846 & 17.3046864281154 \tabularnewline
30 & 47 & 54.8558106523983 & -7.85581065239829 \tabularnewline
31 & 105 & 88.2961727495777 & 16.7038272504223 \tabularnewline
32 & 94 & 88.5114537981586 & 5.48854620184137 \tabularnewline
33 & 44 & 78.3814958842682 & -34.3814958842682 \tabularnewline
34 & 114 & 110.244447904122 & 3.75555209587771 \tabularnewline
35 & 38 & 48.0283211099965 & -10.0283211099965 \tabularnewline
36 & 107 & 108.416579662891 & -1.41657966289069 \tabularnewline
37 & 30 & 30.1494286378676 & -0.149428637867586 \tabularnewline
38 & 71 & 84.7778427089371 & -13.7778427089371 \tabularnewline
39 & 84 & 117.462795355803 & -33.4627953558028 \tabularnewline
40 & 0 & -7.45581480177734 & 7.45581480177734 \tabularnewline
41 & 59 & 60.9150464301252 & -1.91504643012518 \tabularnewline
42 & 33 & 28.989673669459 & 4.01032633054103 \tabularnewline
43 & 42 & 34.0986567222529 & 7.90134327774711 \tabularnewline
44 & 96 & 100.488713841554 & -4.48871384155436 \tabularnewline
45 & 106 & 90.5236486118857 & 15.4763513881143 \tabularnewline
46 & 56 & 61.9773393220374 & -5.97733932203738 \tabularnewline
47 & 57 & 69.0304093879275 & -12.0304093879276 \tabularnewline
48 & 59 & 57.7206641123258 & 1.27933588767421 \tabularnewline
49 & 39 & 46.7058620879697 & -7.70586208796965 \tabularnewline
50 & 34 & 43.2830727286161 & -9.28307272861608 \tabularnewline
51 & 76 & 129.228875997723 & -53.2288759977234 \tabularnewline
52 & 20 & 35.9738244492754 & -15.9738244492754 \tabularnewline
53 & 91 & 88.6210360202575 & 2.37896397974249 \tabularnewline
54 & 115 & 107.065623206369 & 7.93437679363107 \tabularnewline
55 & 85 & 72.3791252754107 & 12.6208747245893 \tabularnewline
56 & 76 & 70.7282027938298 & 5.27179720617016 \tabularnewline
57 & 8 & 1.83802995351157 & 6.16197004648843 \tabularnewline
58 & 79 & 110.178135500517 & -31.1781355005167 \tabularnewline
59 & 21 & 25.0333031356594 & -4.03330313565944 \tabularnewline
60 & 30 & 30.916950402482 & -0.916950402482021 \tabularnewline
61 & 76 & 83.8872876422053 & -7.8872876422053 \tabularnewline
62 & 101 & 103.017336641002 & -2.01733664100198 \tabularnewline
63 & 94 & 105.892458580001 & -11.8924585800006 \tabularnewline
64 & 27 & 35.4434131040226 & -8.44341310402257 \tabularnewline
65 & 92 & 82.3576838049531 & 9.64231619504687 \tabularnewline
66 & 123 & 100.147795928629 & 22.8522040713711 \tabularnewline
67 & 75 & 65.4947996244685 & 9.50520037553146 \tabularnewline
68 & 128 & 110.110220901592 & 17.8897790984083 \tabularnewline
69 & 105 & 68.5279888791876 & 36.4720111208124 \tabularnewline
70 & 55 & 67.996415900413 & -12.996415900413 \tabularnewline
71 & 56 & 77.0795892895985 & -21.0795892895985 \tabularnewline
72 & 41 & 73.1959157532692 & -32.1959157532692 \tabularnewline
73 & 72 & 60.7036550984931 & 11.2963449015069 \tabularnewline
74 & 67 & 59.0583416635932 & 7.9416583364068 \tabularnewline
75 & 75 & 75.833485968084 & -0.833485968084013 \tabularnewline
76 & 114 & 72.4286187707397 & 41.5713812292603 \tabularnewline
77 & 118 & 44.6410910104846 & 73.3589089895154 \tabularnewline
78 & 77 & 77.1109604335831 & -0.110960433583127 \tabularnewline
79 & 22 & 32.4515238979345 & -10.4515238979344 \tabularnewline
80 & 66 & 86.8315167631156 & -20.8315167631156 \tabularnewline
81 & 69 & 62.6898161988089 & 6.31018380119108 \tabularnewline
82 & 105 & 73.1107807188325 & 31.8892192811675 \tabularnewline
83 & 116 & 97.4236348362361 & 18.5763651637639 \tabularnewline
84 & 88 & 86.0941307372822 & 1.9058692627178 \tabularnewline
85 & 73 & 68.6313088337418 & 4.36869116625825 \tabularnewline
86 & 99 & 63.5425976205161 & 35.4574023794839 \tabularnewline
87 & 62 & 69.3099171861713 & -7.30991718617133 \tabularnewline
88 & 53 & 49.4612402687365 & 3.5387597312635 \tabularnewline
89 & 118 & 121.071052335501 & -3.07105233550121 \tabularnewline
90 & 30 & 60.5429150942784 & -30.5429150942784 \tabularnewline
91 & 100 & 61.9162979029654 & 38.0837020970346 \tabularnewline
92 & 49 & 23.4062249094501 & 25.5937750905499 \tabularnewline
93 & 24 & 55.3124357436206 & -31.3124357436206 \tabularnewline
94 & 67 & 55.0430181356971 & 11.9569818643029 \tabularnewline
95 & 46 & 44.1596439808878 & 1.84035601911217 \tabularnewline
96 & 57 & 104.794465303643 & -47.7944653036428 \tabularnewline
97 & 75 & 93.8695111105287 & -18.8695111105287 \tabularnewline
98 & 135 & 83.7876303818952 & 51.2123696181048 \tabularnewline
99 & 68 & 73.6416558403554 & -5.64165584035535 \tabularnewline
100 & 124 & 76.879774832128 & 47.120225167872 \tabularnewline
101 & 33 & 48.7356050081886 & -15.7356050081886 \tabularnewline
102 & 98 & 92.4953372873077 & 5.5046627126923 \tabularnewline
103 & 58 & 85.9168613527356 & -27.9168613527356 \tabularnewline
104 & 68 & 67.8441347712556 & 0.15586522874436 \tabularnewline
105 & 81 & 67.0490523408006 & 13.9509476591994 \tabularnewline
106 & 131 & 83.2587777179255 & 47.7412222820745 \tabularnewline
107 & 110 & 119.933354241109 & -9.9333542411089 \tabularnewline
108 & 37 & 32.7212339342348 & 4.27876606576516 \tabularnewline
109 & 130 & 91.6746299322257 & 38.3253700677743 \tabularnewline
110 & 93 & 91.9822974213751 & 1.01770257862491 \tabularnewline
111 & 118 & 89.8473549487826 & 28.1526450512174 \tabularnewline
112 & 39 & 55.9509659832323 & -16.9509659832323 \tabularnewline
113 & 13 & 22.6678062083628 & -9.66780620836283 \tabularnewline
114 & 74 & 44.1139625194928 & 29.8860374805072 \tabularnewline
115 & 81 & 63.4479580909736 & 17.5520419090264 \tabularnewline
116 & 109 & 83.2671686433054 & 25.7328313566947 \tabularnewline
117 & 151 & 92.1040306470589 & 58.8959693529411 \tabularnewline
118 & 51 & 68.6368424600226 & -17.6368424600226 \tabularnewline
119 & 28 & 43.3112829493389 & -15.3112829493389 \tabularnewline
120 & 40 & 31.5031633982826 & 8.4968366017174 \tabularnewline
121 & 56 & 48.898829786811 & 7.10117021318904 \tabularnewline
122 & 27 & 21.2656853381436 & 5.73431466185637 \tabularnewline
123 & 37 & 46.6189564694212 & -9.61895646942122 \tabularnewline
124 & 83 & 55.683022194854 & 27.316977805146 \tabularnewline
125 & 54 & 79.7354113431476 & -25.7354113431476 \tabularnewline
126 & 27 & 19.7590920114672 & 7.24090798853277 \tabularnewline
127 & 28 & 29.9439898992749 & -1.94398989927493 \tabularnewline
128 & 59 & 47.9478206433522 & 11.0521793566478 \tabularnewline
129 & 133 & 95.6326109488095 & 37.3673890511905 \tabularnewline
130 & 12 & -2.98894521855034 & 14.9889452185503 \tabularnewline
131 & 0 & 7.69906241521349 & -7.69906241521349 \tabularnewline
132 & 106 & 66.9064187068403 & 39.0935812931597 \tabularnewline
133 & 23 & 12.0733921140275 & 10.9266078859725 \tabularnewline
134 & 44 & 53.1882674369965 & -9.18826743699645 \tabularnewline
135 & 71 & 65.5686264886467 & 5.43137351135333 \tabularnewline
136 & 116 & 102.780509979271 & 13.2194900207289 \tabularnewline
137 & 4 & -3.48673771973895 & 7.48673771973895 \tabularnewline
138 & 62 & 63.4700683678417 & -1.47006836784173 \tabularnewline
139 & 12 & 9.88104994947723 & 2.11895005052277 \tabularnewline
140 & 18 & 5.40111980260155 & 12.5988801973984 \tabularnewline
141 & 14 & 19.1975586833734 & -5.19755868337338 \tabularnewline
142 & 60 & 48.7018661735243 & 11.2981338264757 \tabularnewline
143 & 7 & 36.1811740637629 & -29.1811740637629 \tabularnewline
144 & 98 & 96.0686398192391 & 1.93136018076086 \tabularnewline
145 & 64 & 81.082518051352 & -17.082518051352 \tabularnewline
146 & 29 & 33.7571465958912 & -4.75714659589119 \tabularnewline
147 & 32 & 60.9705384001767 & -28.9705384001766 \tabularnewline
148 & 25 & 41.9114401646421 & -16.9114401646421 \tabularnewline
149 & 16 & 10.9949197560446 & 5.0050802439554 \tabularnewline
150 & 48 & 73.4981700620346 & -25.4981700620346 \tabularnewline
151 & 100 & 115.351801845092 & -15.3518018450916 \tabularnewline
152 & 46 & 86.403365865732 & -40.403365865732 \tabularnewline
153 & 45 & 34.4432026649115 & 10.5567973350885 \tabularnewline
154 & 129 & 127.783171286335 & 1.21682871366467 \tabularnewline
155 & 130 & 99.5057773786995 & 30.4942226213005 \tabularnewline
156 & 136 & 133.314440068622 & 2.68555993137822 \tabularnewline
157 & 59 & 71.0107659717857 & -12.0107659717857 \tabularnewline
158 & 25 & 32.0800645780251 & -7.08006457802509 \tabularnewline
159 & 32 & 46.0806244134521 & -14.0806244134521 \tabularnewline
160 & 63 & 86.6998799484979 & -23.6998799484979 \tabularnewline
161 & 95 & 129.34874853499 & -34.3487485349901 \tabularnewline
162 & 14 & 39.4148919272689 & -25.4148919272689 \tabularnewline
163 & 36 & 42.5629411038949 & -6.56294110389488 \tabularnewline
164 & 113 & 127.141215838036 & -14.1412158380358 \tabularnewline
165 & 47 & 56.0284572375208 & -9.02845723752083 \tabularnewline
166 & 92 & 83.3679783012605 & 8.63202169873955 \tabularnewline
167 & 70 & 68.7895589522135 & 1.21044104778653 \tabularnewline
168 & 19 & 49.4696968313215 & -30.4696968313215 \tabularnewline
169 & 50 & 38.9450889138524 & 11.0549110861476 \tabularnewline
170 & 41 & 73.5149261909161 & -32.5149261909161 \tabularnewline
171 & 91 & 100.803887468129 & -9.80388746812867 \tabularnewline
172 & 111 & 75.8897368605953 & 35.1102631394047 \tabularnewline
173 & 41 & 61.658200259875 & -20.658200259875 \tabularnewline
174 & 120 & 89.2894425125732 & 30.7105574874268 \tabularnewline
175 & 135 & 69.599722043152 & 65.400277956848 \tabularnewline
176 & 27 & 44.7267315581918 & -17.7267315581918 \tabularnewline
177 & 87 & 82.5258516624683 & 4.47414833753169 \tabularnewline
178 & 25 & 36.5319744959485 & -11.5319744959485 \tabularnewline
179 & 131 & 94.0852886673372 & 36.9147113326628 \tabularnewline
180 & 45 & 38.1358159243793 & 6.86418407562066 \tabularnewline
181 & 29 & 16.1094122141148 & 12.8905877858852 \tabularnewline
182 & 58 & 36.0808248109532 & 21.9191751890468 \tabularnewline
183 & 4 & -5.7701584123998 & 9.7701584123998 \tabularnewline
184 & 47 & 65.5681376944631 & -18.5681376944631 \tabularnewline
185 & 109 & 97.1685113500497 & 11.8314886499503 \tabularnewline
186 & 7 & -7.38064879825612 & 14.3806487982561 \tabularnewline
187 & 12 & 8.61272180747799 & 3.38727819252201 \tabularnewline
188 & 0 & -3.99327523962644 & 3.99327523962644 \tabularnewline
189 & 37 & 46.2341589296176 & -9.2341589296176 \tabularnewline
190 & 37 & 40.4743916684113 & -3.47439166841126 \tabularnewline
191 & 46 & 47.910483458361 & -1.91048345836104 \tabularnewline
192 & 15 & 38.0571973560797 & -23.0571973560797 \tabularnewline
193 & 42 & 22.4627963460084 & 19.5372036539916 \tabularnewline
194 & 7 & 26.9605342455916 & -19.9605342455916 \tabularnewline
195 & 54 & 58.4328723440885 & -4.43287234408854 \tabularnewline
196 & 54 & 35.2012716388513 & 18.7987283611487 \tabularnewline
197 & 14 & 37.2739533916829 & -23.2739533916829 \tabularnewline
198 & 16 & 22.2415392575213 & -6.24153925752126 \tabularnewline
199 & 33 & 38.2684488944875 & -5.26844889448749 \tabularnewline
200 & 32 & 28.5975623561479 & 3.40243764385206 \tabularnewline
201 & 21 & 26.2075640217273 & -5.20756402172728 \tabularnewline
202 & 15 & 22.2210438903368 & -7.22104389033685 \tabularnewline
203 & 38 & 46.804928776014 & -8.80492877601402 \tabularnewline
204 & 22 & 41.3388314141423 & -19.3388314141423 \tabularnewline
205 & 28 & 36.8533539637725 & -8.8533539637725 \tabularnewline
206 & 10 & 21.8878565036682 & -11.8878565036682 \tabularnewline
207 & 31 & 30.9010873251684 & 0.0989126748315786 \tabularnewline
208 & 32 & 58.001747833771 & -26.001747833771 \tabularnewline
209 & 32 & 45.3457873678769 & -13.3457873678769 \tabularnewline
210 & 43 & 53.1014561084448 & -10.1014561084448 \tabularnewline
211 & 27 & 19.7021703449083 & 7.29782965509169 \tabularnewline
212 & 37 & 40.656005634378 & -3.65600563437803 \tabularnewline
213 & 20 & 24.8050468361252 & -4.80504683612518 \tabularnewline
214 & 32 & 33.4172443675909 & -1.41724436759095 \tabularnewline
215 & 0 & 27.6625949256495 & -27.6625949256495 \tabularnewline
216 & 5 & 33.366904693746 & -28.366904693746 \tabularnewline
217 & 26 & 26.2816966708922 & -0.281696670892213 \tabularnewline
218 & 10 & 13.0952333610244 & -3.09523336102443 \tabularnewline
219 & 27 & 21.4896572652665 & 5.51034273473345 \tabularnewline
220 & 11 & 30.9188218925903 & -19.9188218925903 \tabularnewline
221 & 29 & 37.3798564104705 & -8.37985641047054 \tabularnewline
222 & 25 & 40.8327358647579 & -15.8327358647579 \tabularnewline
223 & 55 & 38.301077016683 & 16.698922983317 \tabularnewline
224 & 23 & 29.9667192654398 & -6.96671926543978 \tabularnewline
225 & 5 & 17.3397591371733 & -12.3397591371733 \tabularnewline
226 & 43 & 36.3790959950247 & 6.62090400497533 \tabularnewline
227 & 23 & 12.8859879256336 & 10.1140120743664 \tabularnewline
228 & 34 & 30.1645028521173 & 3.83549714788269 \tabularnewline
229 & 36 & 19.6006298428095 & 16.3993701571905 \tabularnewline
230 & 35 & 43.0856082700943 & -8.0856082700943 \tabularnewline
231 & 0 & 18.682739587031 & -18.682739587031 \tabularnewline
232 & 37 & 28.2987885724191 & 8.7012114275809 \tabularnewline
233 & 28 & 35.3984541486972 & -7.39845414869721 \tabularnewline
234 & 16 & 20.8914675652841 & -4.89146756528408 \tabularnewline
235 & 26 & 29.9400842590151 & -3.94008425901512 \tabularnewline
236 & 38 & 25.2815299030576 & 12.7184700969424 \tabularnewline
237 & 23 & 51.7854606462767 & -28.7854606462767 \tabularnewline
238 & 22 & 15.6805801975614 & 6.3194198024386 \tabularnewline
239 & 30 & 29.3918250361862 & 0.608174963813799 \tabularnewline
240 & 16 & 20.4536820877768 & -4.45368208777684 \tabularnewline
241 & 18 & 29.9398484092675 & -11.9398484092675 \tabularnewline
242 & 28 & 53.1403890651897 & -25.1403890651897 \tabularnewline
243 & 32 & 22.649694873898 & 9.35030512610196 \tabularnewline
244 & 21 & 19.8537947585684 & 1.14620524143162 \tabularnewline
245 & 23 & 27.1986692426117 & -4.19866924261166 \tabularnewline
246 & 29 & 31.8378396832266 & -2.83783968322665 \tabularnewline
247 & 50 & 36.0079906749576 & 13.9920093250424 \tabularnewline
248 & 12 & 30.9804937362775 & -18.9804937362775 \tabularnewline
249 & 21 & 26.3189645759214 & -5.31896457592137 \tabularnewline
250 & 18 & 5.66220566896967 & 12.3377943310303 \tabularnewline
251 & 27 & 56.6876314501804 & -29.6876314501804 \tabularnewline
252 & 41 & 41.6205106888707 & -0.620510688870729 \tabularnewline
253 & 13 & -4.88845558708651 & 17.8884555870865 \tabularnewline
254 & 12 & 39.7429168969096 & -27.7429168969096 \tabularnewline
255 & 21 & 36.1505606154977 & -15.1505606154977 \tabularnewline
256 & 8 & 2.20480067558318 & 5.79519932441682 \tabularnewline
257 & 26 & 9.65578488048395 & 16.3442151195161 \tabularnewline
258 & 27 & 30.9277518804573 & -3.92775188045729 \tabularnewline
259 & 13 & 20.8704511722979 & -7.87045117229789 \tabularnewline
260 & 16 & 9.34739576247347 & 6.65260423752653 \tabularnewline
261 & 2 & 11.6814794076064 & -9.68147940760645 \tabularnewline
262 & 42 & 33.5516754780962 & 8.44832452190385 \tabularnewline
263 & 5 & 5.85623045795708 & -0.856230457957081 \tabularnewline
264 & 37 & 19.1332053220003 & 17.8667946779997 \tabularnewline
265 & 17 & 23.5548885556744 & -6.55488855567442 \tabularnewline
266 & 38 & 27.3386331508831 & 10.6613668491169 \tabularnewline
267 & 37 & 31.1737614293901 & 5.82623857060991 \tabularnewline
268 & 29 & 17.0247238913775 & 11.9752761086225 \tabularnewline
269 & 32 & 39.2482584675807 & -7.24825846758066 \tabularnewline
270 & 35 & 30.2912143191191 & 4.70878568088085 \tabularnewline
271 & 17 & 38.171587635963 & -21.171587635963 \tabularnewline
272 & 20 & 30.9723924697852 & -10.9723924697852 \tabularnewline
273 & 7 & 4.46412041896556 & 2.53587958103444 \tabularnewline
274 & 46 & 36.3043460687273 & 9.69565393127266 \tabularnewline
275 & 24 & 16.8950618332643 & 7.10493816673574 \tabularnewline
276 & 40 & 21.6204269540565 & 18.3795730459435 \tabularnewline
277 & 3 & 13.9318890709406 & -10.9318890709406 \tabularnewline
278 & 10 & -4.00059355049419 & 14.0005935504942 \tabularnewline
279 & 37 & 29.4785083210249 & 7.5214916789751 \tabularnewline
280 & 17 & 34.8824898961355 & -17.8824898961355 \tabularnewline
281 & 28 & 36.8682077894237 & -8.86820778942373 \tabularnewline
282 & 19 & 26.0191782001506 & -7.0191782001506 \tabularnewline
283 & 29 & 22.8978833343133 & 6.10211666568672 \tabularnewline
284 & 8 & 3.40248924053942 & 4.59751075946058 \tabularnewline
285 & 10 & 27.9291605228325 & -17.9291605228325 \tabularnewline
286 & 15 & 21.9680973827183 & -6.96809738271831 \tabularnewline
287 & 15 & 18.3561338915418 & -3.35613389154181 \tabularnewline
288 & 28 & 25.7472608643932 & 2.25273913560677 \tabularnewline
289 & 17 & 28.2928937203005 & -11.2928937203005 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=186320&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]79[/C][C]72.3809366343985[/C][C]6.61906336560146[/C][/ROW]
[ROW][C]2[/C][C]58[/C][C]53.4822263469372[/C][C]4.51777365306278[/C][/ROW]
[ROW][C]3[/C][C]60[/C][C]62.9515814702325[/C][C]-2.95158147023249[/C][/ROW]
[ROW][C]4[/C][C]108[/C][C]79.8325324008794[/C][C]28.1674675991206[/C][/ROW]
[ROW][C]5[/C][C]49[/C][C]38.9341992364277[/C][C]10.0658007635723[/C][/ROW]
[ROW][C]6[/C][C]0[/C][C]30.4806996920614[/C][C]-30.4806996920614[/C][/ROW]
[ROW][C]7[/C][C]121[/C][C]125.856036219666[/C][C]-4.85603621966586[/C][/ROW]
[ROW][C]8[/C][C]1[/C][C]13.6901459054417[/C][C]-12.6901459054417[/C][/ROW]
[ROW][C]9[/C][C]20[/C][C]31.1266648461717[/C][C]-11.1266648461717[/C][/ROW]
[ROW][C]10[/C][C]43[/C][C]60.3355316814355[/C][C]-17.3355316814355[/C][/ROW]
[ROW][C]11[/C][C]69[/C][C]58.3346153833219[/C][C]10.6653846166781[/C][/ROW]
[ROW][C]12[/C][C]78[/C][C]95.8320391441598[/C][C]-17.8320391441598[/C][/ROW]
[ROW][C]13[/C][C]86[/C][C]81.8502998973293[/C][C]4.14970010267076[/C][/ROW]
[ROW][C]14[/C][C]44[/C][C]51.841955906631[/C][C]-7.84195590663102[/C][/ROW]
[ROW][C]15[/C][C]104[/C][C]100.545910788414[/C][C]3.45408921158615[/C][/ROW]
[ROW][C]16[/C][C]63[/C][C]58.4224471969102[/C][C]4.57755280308977[/C][/ROW]
[ROW][C]17[/C][C]158[/C][C]142.674664843671[/C][C]15.3253351563293[/C][/ROW]
[ROW][C]18[/C][C]102[/C][C]83.6113472589425[/C][C]18.3886527410575[/C][/ROW]
[ROW][C]19[/C][C]77[/C][C]80.6692947636347[/C][C]-3.66929476363466[/C][/ROW]
[ROW][C]20[/C][C]82[/C][C]50.9612866497153[/C][C]31.0387133502847[/C][/ROW]
[ROW][C]21[/C][C]115[/C][C]81.857583804943[/C][C]33.142416195057[/C][/ROW]
[ROW][C]22[/C][C]101[/C][C]89.2574553948448[/C][C]11.7425446051552[/C][/ROW]
[ROW][C]23[/C][C]80[/C][C]111.944828212701[/C][C]-31.9448282127007[/C][/ROW]
[ROW][C]24[/C][C]50[/C][C]52.9506227310303[/C][C]-2.95062273103034[/C][/ROW]
[ROW][C]25[/C][C]83[/C][C]73.408502014525[/C][C]9.59149798547497[/C][/ROW]
[ROW][C]26[/C][C]123[/C][C]87.1082655367952[/C][C]35.8917344632048[/C][/ROW]
[ROW][C]27[/C][C]73[/C][C]81.0509450542622[/C][C]-8.05094505426218[/C][/ROW]
[ROW][C]28[/C][C]81[/C][C]82.0666998224706[/C][C]-1.06669982247061[/C][/ROW]
[ROW][C]29[/C][C]105[/C][C]87.6953135718846[/C][C]17.3046864281154[/C][/ROW]
[ROW][C]30[/C][C]47[/C][C]54.8558106523983[/C][C]-7.85581065239829[/C][/ROW]
[ROW][C]31[/C][C]105[/C][C]88.2961727495777[/C][C]16.7038272504223[/C][/ROW]
[ROW][C]32[/C][C]94[/C][C]88.5114537981586[/C][C]5.48854620184137[/C][/ROW]
[ROW][C]33[/C][C]44[/C][C]78.3814958842682[/C][C]-34.3814958842682[/C][/ROW]
[ROW][C]34[/C][C]114[/C][C]110.244447904122[/C][C]3.75555209587771[/C][/ROW]
[ROW][C]35[/C][C]38[/C][C]48.0283211099965[/C][C]-10.0283211099965[/C][/ROW]
[ROW][C]36[/C][C]107[/C][C]108.416579662891[/C][C]-1.41657966289069[/C][/ROW]
[ROW][C]37[/C][C]30[/C][C]30.1494286378676[/C][C]-0.149428637867586[/C][/ROW]
[ROW][C]38[/C][C]71[/C][C]84.7778427089371[/C][C]-13.7778427089371[/C][/ROW]
[ROW][C]39[/C][C]84[/C][C]117.462795355803[/C][C]-33.4627953558028[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]-7.45581480177734[/C][C]7.45581480177734[/C][/ROW]
[ROW][C]41[/C][C]59[/C][C]60.9150464301252[/C][C]-1.91504643012518[/C][/ROW]
[ROW][C]42[/C][C]33[/C][C]28.989673669459[/C][C]4.01032633054103[/C][/ROW]
[ROW][C]43[/C][C]42[/C][C]34.0986567222529[/C][C]7.90134327774711[/C][/ROW]
[ROW][C]44[/C][C]96[/C][C]100.488713841554[/C][C]-4.48871384155436[/C][/ROW]
[ROW][C]45[/C][C]106[/C][C]90.5236486118857[/C][C]15.4763513881143[/C][/ROW]
[ROW][C]46[/C][C]56[/C][C]61.9773393220374[/C][C]-5.97733932203738[/C][/ROW]
[ROW][C]47[/C][C]57[/C][C]69.0304093879275[/C][C]-12.0304093879276[/C][/ROW]
[ROW][C]48[/C][C]59[/C][C]57.7206641123258[/C][C]1.27933588767421[/C][/ROW]
[ROW][C]49[/C][C]39[/C][C]46.7058620879697[/C][C]-7.70586208796965[/C][/ROW]
[ROW][C]50[/C][C]34[/C][C]43.2830727286161[/C][C]-9.28307272861608[/C][/ROW]
[ROW][C]51[/C][C]76[/C][C]129.228875997723[/C][C]-53.2288759977234[/C][/ROW]
[ROW][C]52[/C][C]20[/C][C]35.9738244492754[/C][C]-15.9738244492754[/C][/ROW]
[ROW][C]53[/C][C]91[/C][C]88.6210360202575[/C][C]2.37896397974249[/C][/ROW]
[ROW][C]54[/C][C]115[/C][C]107.065623206369[/C][C]7.93437679363107[/C][/ROW]
[ROW][C]55[/C][C]85[/C][C]72.3791252754107[/C][C]12.6208747245893[/C][/ROW]
[ROW][C]56[/C][C]76[/C][C]70.7282027938298[/C][C]5.27179720617016[/C][/ROW]
[ROW][C]57[/C][C]8[/C][C]1.83802995351157[/C][C]6.16197004648843[/C][/ROW]
[ROW][C]58[/C][C]79[/C][C]110.178135500517[/C][C]-31.1781355005167[/C][/ROW]
[ROW][C]59[/C][C]21[/C][C]25.0333031356594[/C][C]-4.03330313565944[/C][/ROW]
[ROW][C]60[/C][C]30[/C][C]30.916950402482[/C][C]-0.916950402482021[/C][/ROW]
[ROW][C]61[/C][C]76[/C][C]83.8872876422053[/C][C]-7.8872876422053[/C][/ROW]
[ROW][C]62[/C][C]101[/C][C]103.017336641002[/C][C]-2.01733664100198[/C][/ROW]
[ROW][C]63[/C][C]94[/C][C]105.892458580001[/C][C]-11.8924585800006[/C][/ROW]
[ROW][C]64[/C][C]27[/C][C]35.4434131040226[/C][C]-8.44341310402257[/C][/ROW]
[ROW][C]65[/C][C]92[/C][C]82.3576838049531[/C][C]9.64231619504687[/C][/ROW]
[ROW][C]66[/C][C]123[/C][C]100.147795928629[/C][C]22.8522040713711[/C][/ROW]
[ROW][C]67[/C][C]75[/C][C]65.4947996244685[/C][C]9.50520037553146[/C][/ROW]
[ROW][C]68[/C][C]128[/C][C]110.110220901592[/C][C]17.8897790984083[/C][/ROW]
[ROW][C]69[/C][C]105[/C][C]68.5279888791876[/C][C]36.4720111208124[/C][/ROW]
[ROW][C]70[/C][C]55[/C][C]67.996415900413[/C][C]-12.996415900413[/C][/ROW]
[ROW][C]71[/C][C]56[/C][C]77.0795892895985[/C][C]-21.0795892895985[/C][/ROW]
[ROW][C]72[/C][C]41[/C][C]73.1959157532692[/C][C]-32.1959157532692[/C][/ROW]
[ROW][C]73[/C][C]72[/C][C]60.7036550984931[/C][C]11.2963449015069[/C][/ROW]
[ROW][C]74[/C][C]67[/C][C]59.0583416635932[/C][C]7.9416583364068[/C][/ROW]
[ROW][C]75[/C][C]75[/C][C]75.833485968084[/C][C]-0.833485968084013[/C][/ROW]
[ROW][C]76[/C][C]114[/C][C]72.4286187707397[/C][C]41.5713812292603[/C][/ROW]
[ROW][C]77[/C][C]118[/C][C]44.6410910104846[/C][C]73.3589089895154[/C][/ROW]
[ROW][C]78[/C][C]77[/C][C]77.1109604335831[/C][C]-0.110960433583127[/C][/ROW]
[ROW][C]79[/C][C]22[/C][C]32.4515238979345[/C][C]-10.4515238979344[/C][/ROW]
[ROW][C]80[/C][C]66[/C][C]86.8315167631156[/C][C]-20.8315167631156[/C][/ROW]
[ROW][C]81[/C][C]69[/C][C]62.6898161988089[/C][C]6.31018380119108[/C][/ROW]
[ROW][C]82[/C][C]105[/C][C]73.1107807188325[/C][C]31.8892192811675[/C][/ROW]
[ROW][C]83[/C][C]116[/C][C]97.4236348362361[/C][C]18.5763651637639[/C][/ROW]
[ROW][C]84[/C][C]88[/C][C]86.0941307372822[/C][C]1.9058692627178[/C][/ROW]
[ROW][C]85[/C][C]73[/C][C]68.6313088337418[/C][C]4.36869116625825[/C][/ROW]
[ROW][C]86[/C][C]99[/C][C]63.5425976205161[/C][C]35.4574023794839[/C][/ROW]
[ROW][C]87[/C][C]62[/C][C]69.3099171861713[/C][C]-7.30991718617133[/C][/ROW]
[ROW][C]88[/C][C]53[/C][C]49.4612402687365[/C][C]3.5387597312635[/C][/ROW]
[ROW][C]89[/C][C]118[/C][C]121.071052335501[/C][C]-3.07105233550121[/C][/ROW]
[ROW][C]90[/C][C]30[/C][C]60.5429150942784[/C][C]-30.5429150942784[/C][/ROW]
[ROW][C]91[/C][C]100[/C][C]61.9162979029654[/C][C]38.0837020970346[/C][/ROW]
[ROW][C]92[/C][C]49[/C][C]23.4062249094501[/C][C]25.5937750905499[/C][/ROW]
[ROW][C]93[/C][C]24[/C][C]55.3124357436206[/C][C]-31.3124357436206[/C][/ROW]
[ROW][C]94[/C][C]67[/C][C]55.0430181356971[/C][C]11.9569818643029[/C][/ROW]
[ROW][C]95[/C][C]46[/C][C]44.1596439808878[/C][C]1.84035601911217[/C][/ROW]
[ROW][C]96[/C][C]57[/C][C]104.794465303643[/C][C]-47.7944653036428[/C][/ROW]
[ROW][C]97[/C][C]75[/C][C]93.8695111105287[/C][C]-18.8695111105287[/C][/ROW]
[ROW][C]98[/C][C]135[/C][C]83.7876303818952[/C][C]51.2123696181048[/C][/ROW]
[ROW][C]99[/C][C]68[/C][C]73.6416558403554[/C][C]-5.64165584035535[/C][/ROW]
[ROW][C]100[/C][C]124[/C][C]76.879774832128[/C][C]47.120225167872[/C][/ROW]
[ROW][C]101[/C][C]33[/C][C]48.7356050081886[/C][C]-15.7356050081886[/C][/ROW]
[ROW][C]102[/C][C]98[/C][C]92.4953372873077[/C][C]5.5046627126923[/C][/ROW]
[ROW][C]103[/C][C]58[/C][C]85.9168613527356[/C][C]-27.9168613527356[/C][/ROW]
[ROW][C]104[/C][C]68[/C][C]67.8441347712556[/C][C]0.15586522874436[/C][/ROW]
[ROW][C]105[/C][C]81[/C][C]67.0490523408006[/C][C]13.9509476591994[/C][/ROW]
[ROW][C]106[/C][C]131[/C][C]83.2587777179255[/C][C]47.7412222820745[/C][/ROW]
[ROW][C]107[/C][C]110[/C][C]119.933354241109[/C][C]-9.9333542411089[/C][/ROW]
[ROW][C]108[/C][C]37[/C][C]32.7212339342348[/C][C]4.27876606576516[/C][/ROW]
[ROW][C]109[/C][C]130[/C][C]91.6746299322257[/C][C]38.3253700677743[/C][/ROW]
[ROW][C]110[/C][C]93[/C][C]91.9822974213751[/C][C]1.01770257862491[/C][/ROW]
[ROW][C]111[/C][C]118[/C][C]89.8473549487826[/C][C]28.1526450512174[/C][/ROW]
[ROW][C]112[/C][C]39[/C][C]55.9509659832323[/C][C]-16.9509659832323[/C][/ROW]
[ROW][C]113[/C][C]13[/C][C]22.6678062083628[/C][C]-9.66780620836283[/C][/ROW]
[ROW][C]114[/C][C]74[/C][C]44.1139625194928[/C][C]29.8860374805072[/C][/ROW]
[ROW][C]115[/C][C]81[/C][C]63.4479580909736[/C][C]17.5520419090264[/C][/ROW]
[ROW][C]116[/C][C]109[/C][C]83.2671686433054[/C][C]25.7328313566947[/C][/ROW]
[ROW][C]117[/C][C]151[/C][C]92.1040306470589[/C][C]58.8959693529411[/C][/ROW]
[ROW][C]118[/C][C]51[/C][C]68.6368424600226[/C][C]-17.6368424600226[/C][/ROW]
[ROW][C]119[/C][C]28[/C][C]43.3112829493389[/C][C]-15.3112829493389[/C][/ROW]
[ROW][C]120[/C][C]40[/C][C]31.5031633982826[/C][C]8.4968366017174[/C][/ROW]
[ROW][C]121[/C][C]56[/C][C]48.898829786811[/C][C]7.10117021318904[/C][/ROW]
[ROW][C]122[/C][C]27[/C][C]21.2656853381436[/C][C]5.73431466185637[/C][/ROW]
[ROW][C]123[/C][C]37[/C][C]46.6189564694212[/C][C]-9.61895646942122[/C][/ROW]
[ROW][C]124[/C][C]83[/C][C]55.683022194854[/C][C]27.316977805146[/C][/ROW]
[ROW][C]125[/C][C]54[/C][C]79.7354113431476[/C][C]-25.7354113431476[/C][/ROW]
[ROW][C]126[/C][C]27[/C][C]19.7590920114672[/C][C]7.24090798853277[/C][/ROW]
[ROW][C]127[/C][C]28[/C][C]29.9439898992749[/C][C]-1.94398989927493[/C][/ROW]
[ROW][C]128[/C][C]59[/C][C]47.9478206433522[/C][C]11.0521793566478[/C][/ROW]
[ROW][C]129[/C][C]133[/C][C]95.6326109488095[/C][C]37.3673890511905[/C][/ROW]
[ROW][C]130[/C][C]12[/C][C]-2.98894521855034[/C][C]14.9889452185503[/C][/ROW]
[ROW][C]131[/C][C]0[/C][C]7.69906241521349[/C][C]-7.69906241521349[/C][/ROW]
[ROW][C]132[/C][C]106[/C][C]66.9064187068403[/C][C]39.0935812931597[/C][/ROW]
[ROW][C]133[/C][C]23[/C][C]12.0733921140275[/C][C]10.9266078859725[/C][/ROW]
[ROW][C]134[/C][C]44[/C][C]53.1882674369965[/C][C]-9.18826743699645[/C][/ROW]
[ROW][C]135[/C][C]71[/C][C]65.5686264886467[/C][C]5.43137351135333[/C][/ROW]
[ROW][C]136[/C][C]116[/C][C]102.780509979271[/C][C]13.2194900207289[/C][/ROW]
[ROW][C]137[/C][C]4[/C][C]-3.48673771973895[/C][C]7.48673771973895[/C][/ROW]
[ROW][C]138[/C][C]62[/C][C]63.4700683678417[/C][C]-1.47006836784173[/C][/ROW]
[ROW][C]139[/C][C]12[/C][C]9.88104994947723[/C][C]2.11895005052277[/C][/ROW]
[ROW][C]140[/C][C]18[/C][C]5.40111980260155[/C][C]12.5988801973984[/C][/ROW]
[ROW][C]141[/C][C]14[/C][C]19.1975586833734[/C][C]-5.19755868337338[/C][/ROW]
[ROW][C]142[/C][C]60[/C][C]48.7018661735243[/C][C]11.2981338264757[/C][/ROW]
[ROW][C]143[/C][C]7[/C][C]36.1811740637629[/C][C]-29.1811740637629[/C][/ROW]
[ROW][C]144[/C][C]98[/C][C]96.0686398192391[/C][C]1.93136018076086[/C][/ROW]
[ROW][C]145[/C][C]64[/C][C]81.082518051352[/C][C]-17.082518051352[/C][/ROW]
[ROW][C]146[/C][C]29[/C][C]33.7571465958912[/C][C]-4.75714659589119[/C][/ROW]
[ROW][C]147[/C][C]32[/C][C]60.9705384001767[/C][C]-28.9705384001766[/C][/ROW]
[ROW][C]148[/C][C]25[/C][C]41.9114401646421[/C][C]-16.9114401646421[/C][/ROW]
[ROW][C]149[/C][C]16[/C][C]10.9949197560446[/C][C]5.0050802439554[/C][/ROW]
[ROW][C]150[/C][C]48[/C][C]73.4981700620346[/C][C]-25.4981700620346[/C][/ROW]
[ROW][C]151[/C][C]100[/C][C]115.351801845092[/C][C]-15.3518018450916[/C][/ROW]
[ROW][C]152[/C][C]46[/C][C]86.403365865732[/C][C]-40.403365865732[/C][/ROW]
[ROW][C]153[/C][C]45[/C][C]34.4432026649115[/C][C]10.5567973350885[/C][/ROW]
[ROW][C]154[/C][C]129[/C][C]127.783171286335[/C][C]1.21682871366467[/C][/ROW]
[ROW][C]155[/C][C]130[/C][C]99.5057773786995[/C][C]30.4942226213005[/C][/ROW]
[ROW][C]156[/C][C]136[/C][C]133.314440068622[/C][C]2.68555993137822[/C][/ROW]
[ROW][C]157[/C][C]59[/C][C]71.0107659717857[/C][C]-12.0107659717857[/C][/ROW]
[ROW][C]158[/C][C]25[/C][C]32.0800645780251[/C][C]-7.08006457802509[/C][/ROW]
[ROW][C]159[/C][C]32[/C][C]46.0806244134521[/C][C]-14.0806244134521[/C][/ROW]
[ROW][C]160[/C][C]63[/C][C]86.6998799484979[/C][C]-23.6998799484979[/C][/ROW]
[ROW][C]161[/C][C]95[/C][C]129.34874853499[/C][C]-34.3487485349901[/C][/ROW]
[ROW][C]162[/C][C]14[/C][C]39.4148919272689[/C][C]-25.4148919272689[/C][/ROW]
[ROW][C]163[/C][C]36[/C][C]42.5629411038949[/C][C]-6.56294110389488[/C][/ROW]
[ROW][C]164[/C][C]113[/C][C]127.141215838036[/C][C]-14.1412158380358[/C][/ROW]
[ROW][C]165[/C][C]47[/C][C]56.0284572375208[/C][C]-9.02845723752083[/C][/ROW]
[ROW][C]166[/C][C]92[/C][C]83.3679783012605[/C][C]8.63202169873955[/C][/ROW]
[ROW][C]167[/C][C]70[/C][C]68.7895589522135[/C][C]1.21044104778653[/C][/ROW]
[ROW][C]168[/C][C]19[/C][C]49.4696968313215[/C][C]-30.4696968313215[/C][/ROW]
[ROW][C]169[/C][C]50[/C][C]38.9450889138524[/C][C]11.0549110861476[/C][/ROW]
[ROW][C]170[/C][C]41[/C][C]73.5149261909161[/C][C]-32.5149261909161[/C][/ROW]
[ROW][C]171[/C][C]91[/C][C]100.803887468129[/C][C]-9.80388746812867[/C][/ROW]
[ROW][C]172[/C][C]111[/C][C]75.8897368605953[/C][C]35.1102631394047[/C][/ROW]
[ROW][C]173[/C][C]41[/C][C]61.658200259875[/C][C]-20.658200259875[/C][/ROW]
[ROW][C]174[/C][C]120[/C][C]89.2894425125732[/C][C]30.7105574874268[/C][/ROW]
[ROW][C]175[/C][C]135[/C][C]69.599722043152[/C][C]65.400277956848[/C][/ROW]
[ROW][C]176[/C][C]27[/C][C]44.7267315581918[/C][C]-17.7267315581918[/C][/ROW]
[ROW][C]177[/C][C]87[/C][C]82.5258516624683[/C][C]4.47414833753169[/C][/ROW]
[ROW][C]178[/C][C]25[/C][C]36.5319744959485[/C][C]-11.5319744959485[/C][/ROW]
[ROW][C]179[/C][C]131[/C][C]94.0852886673372[/C][C]36.9147113326628[/C][/ROW]
[ROW][C]180[/C][C]45[/C][C]38.1358159243793[/C][C]6.86418407562066[/C][/ROW]
[ROW][C]181[/C][C]29[/C][C]16.1094122141148[/C][C]12.8905877858852[/C][/ROW]
[ROW][C]182[/C][C]58[/C][C]36.0808248109532[/C][C]21.9191751890468[/C][/ROW]
[ROW][C]183[/C][C]4[/C][C]-5.7701584123998[/C][C]9.7701584123998[/C][/ROW]
[ROW][C]184[/C][C]47[/C][C]65.5681376944631[/C][C]-18.5681376944631[/C][/ROW]
[ROW][C]185[/C][C]109[/C][C]97.1685113500497[/C][C]11.8314886499503[/C][/ROW]
[ROW][C]186[/C][C]7[/C][C]-7.38064879825612[/C][C]14.3806487982561[/C][/ROW]
[ROW][C]187[/C][C]12[/C][C]8.61272180747799[/C][C]3.38727819252201[/C][/ROW]
[ROW][C]188[/C][C]0[/C][C]-3.99327523962644[/C][C]3.99327523962644[/C][/ROW]
[ROW][C]189[/C][C]37[/C][C]46.2341589296176[/C][C]-9.2341589296176[/C][/ROW]
[ROW][C]190[/C][C]37[/C][C]40.4743916684113[/C][C]-3.47439166841126[/C][/ROW]
[ROW][C]191[/C][C]46[/C][C]47.910483458361[/C][C]-1.91048345836104[/C][/ROW]
[ROW][C]192[/C][C]15[/C][C]38.0571973560797[/C][C]-23.0571973560797[/C][/ROW]
[ROW][C]193[/C][C]42[/C][C]22.4627963460084[/C][C]19.5372036539916[/C][/ROW]
[ROW][C]194[/C][C]7[/C][C]26.9605342455916[/C][C]-19.9605342455916[/C][/ROW]
[ROW][C]195[/C][C]54[/C][C]58.4328723440885[/C][C]-4.43287234408854[/C][/ROW]
[ROW][C]196[/C][C]54[/C][C]35.2012716388513[/C][C]18.7987283611487[/C][/ROW]
[ROW][C]197[/C][C]14[/C][C]37.2739533916829[/C][C]-23.2739533916829[/C][/ROW]
[ROW][C]198[/C][C]16[/C][C]22.2415392575213[/C][C]-6.24153925752126[/C][/ROW]
[ROW][C]199[/C][C]33[/C][C]38.2684488944875[/C][C]-5.26844889448749[/C][/ROW]
[ROW][C]200[/C][C]32[/C][C]28.5975623561479[/C][C]3.40243764385206[/C][/ROW]
[ROW][C]201[/C][C]21[/C][C]26.2075640217273[/C][C]-5.20756402172728[/C][/ROW]
[ROW][C]202[/C][C]15[/C][C]22.2210438903368[/C][C]-7.22104389033685[/C][/ROW]
[ROW][C]203[/C][C]38[/C][C]46.804928776014[/C][C]-8.80492877601402[/C][/ROW]
[ROW][C]204[/C][C]22[/C][C]41.3388314141423[/C][C]-19.3388314141423[/C][/ROW]
[ROW][C]205[/C][C]28[/C][C]36.8533539637725[/C][C]-8.8533539637725[/C][/ROW]
[ROW][C]206[/C][C]10[/C][C]21.8878565036682[/C][C]-11.8878565036682[/C][/ROW]
[ROW][C]207[/C][C]31[/C][C]30.9010873251684[/C][C]0.0989126748315786[/C][/ROW]
[ROW][C]208[/C][C]32[/C][C]58.001747833771[/C][C]-26.001747833771[/C][/ROW]
[ROW][C]209[/C][C]32[/C][C]45.3457873678769[/C][C]-13.3457873678769[/C][/ROW]
[ROW][C]210[/C][C]43[/C][C]53.1014561084448[/C][C]-10.1014561084448[/C][/ROW]
[ROW][C]211[/C][C]27[/C][C]19.7021703449083[/C][C]7.29782965509169[/C][/ROW]
[ROW][C]212[/C][C]37[/C][C]40.656005634378[/C][C]-3.65600563437803[/C][/ROW]
[ROW][C]213[/C][C]20[/C][C]24.8050468361252[/C][C]-4.80504683612518[/C][/ROW]
[ROW][C]214[/C][C]32[/C][C]33.4172443675909[/C][C]-1.41724436759095[/C][/ROW]
[ROW][C]215[/C][C]0[/C][C]27.6625949256495[/C][C]-27.6625949256495[/C][/ROW]
[ROW][C]216[/C][C]5[/C][C]33.366904693746[/C][C]-28.366904693746[/C][/ROW]
[ROW][C]217[/C][C]26[/C][C]26.2816966708922[/C][C]-0.281696670892213[/C][/ROW]
[ROW][C]218[/C][C]10[/C][C]13.0952333610244[/C][C]-3.09523336102443[/C][/ROW]
[ROW][C]219[/C][C]27[/C][C]21.4896572652665[/C][C]5.51034273473345[/C][/ROW]
[ROW][C]220[/C][C]11[/C][C]30.9188218925903[/C][C]-19.9188218925903[/C][/ROW]
[ROW][C]221[/C][C]29[/C][C]37.3798564104705[/C][C]-8.37985641047054[/C][/ROW]
[ROW][C]222[/C][C]25[/C][C]40.8327358647579[/C][C]-15.8327358647579[/C][/ROW]
[ROW][C]223[/C][C]55[/C][C]38.301077016683[/C][C]16.698922983317[/C][/ROW]
[ROW][C]224[/C][C]23[/C][C]29.9667192654398[/C][C]-6.96671926543978[/C][/ROW]
[ROW][C]225[/C][C]5[/C][C]17.3397591371733[/C][C]-12.3397591371733[/C][/ROW]
[ROW][C]226[/C][C]43[/C][C]36.3790959950247[/C][C]6.62090400497533[/C][/ROW]
[ROW][C]227[/C][C]23[/C][C]12.8859879256336[/C][C]10.1140120743664[/C][/ROW]
[ROW][C]228[/C][C]34[/C][C]30.1645028521173[/C][C]3.83549714788269[/C][/ROW]
[ROW][C]229[/C][C]36[/C][C]19.6006298428095[/C][C]16.3993701571905[/C][/ROW]
[ROW][C]230[/C][C]35[/C][C]43.0856082700943[/C][C]-8.0856082700943[/C][/ROW]
[ROW][C]231[/C][C]0[/C][C]18.682739587031[/C][C]-18.682739587031[/C][/ROW]
[ROW][C]232[/C][C]37[/C][C]28.2987885724191[/C][C]8.7012114275809[/C][/ROW]
[ROW][C]233[/C][C]28[/C][C]35.3984541486972[/C][C]-7.39845414869721[/C][/ROW]
[ROW][C]234[/C][C]16[/C][C]20.8914675652841[/C][C]-4.89146756528408[/C][/ROW]
[ROW][C]235[/C][C]26[/C][C]29.9400842590151[/C][C]-3.94008425901512[/C][/ROW]
[ROW][C]236[/C][C]38[/C][C]25.2815299030576[/C][C]12.7184700969424[/C][/ROW]
[ROW][C]237[/C][C]23[/C][C]51.7854606462767[/C][C]-28.7854606462767[/C][/ROW]
[ROW][C]238[/C][C]22[/C][C]15.6805801975614[/C][C]6.3194198024386[/C][/ROW]
[ROW][C]239[/C][C]30[/C][C]29.3918250361862[/C][C]0.608174963813799[/C][/ROW]
[ROW][C]240[/C][C]16[/C][C]20.4536820877768[/C][C]-4.45368208777684[/C][/ROW]
[ROW][C]241[/C][C]18[/C][C]29.9398484092675[/C][C]-11.9398484092675[/C][/ROW]
[ROW][C]242[/C][C]28[/C][C]53.1403890651897[/C][C]-25.1403890651897[/C][/ROW]
[ROW][C]243[/C][C]32[/C][C]22.649694873898[/C][C]9.35030512610196[/C][/ROW]
[ROW][C]244[/C][C]21[/C][C]19.8537947585684[/C][C]1.14620524143162[/C][/ROW]
[ROW][C]245[/C][C]23[/C][C]27.1986692426117[/C][C]-4.19866924261166[/C][/ROW]
[ROW][C]246[/C][C]29[/C][C]31.8378396832266[/C][C]-2.83783968322665[/C][/ROW]
[ROW][C]247[/C][C]50[/C][C]36.0079906749576[/C][C]13.9920093250424[/C][/ROW]
[ROW][C]248[/C][C]12[/C][C]30.9804937362775[/C][C]-18.9804937362775[/C][/ROW]
[ROW][C]249[/C][C]21[/C][C]26.3189645759214[/C][C]-5.31896457592137[/C][/ROW]
[ROW][C]250[/C][C]18[/C][C]5.66220566896967[/C][C]12.3377943310303[/C][/ROW]
[ROW][C]251[/C][C]27[/C][C]56.6876314501804[/C][C]-29.6876314501804[/C][/ROW]
[ROW][C]252[/C][C]41[/C][C]41.6205106888707[/C][C]-0.620510688870729[/C][/ROW]
[ROW][C]253[/C][C]13[/C][C]-4.88845558708651[/C][C]17.8884555870865[/C][/ROW]
[ROW][C]254[/C][C]12[/C][C]39.7429168969096[/C][C]-27.7429168969096[/C][/ROW]
[ROW][C]255[/C][C]21[/C][C]36.1505606154977[/C][C]-15.1505606154977[/C][/ROW]
[ROW][C]256[/C][C]8[/C][C]2.20480067558318[/C][C]5.79519932441682[/C][/ROW]
[ROW][C]257[/C][C]26[/C][C]9.65578488048395[/C][C]16.3442151195161[/C][/ROW]
[ROW][C]258[/C][C]27[/C][C]30.9277518804573[/C][C]-3.92775188045729[/C][/ROW]
[ROW][C]259[/C][C]13[/C][C]20.8704511722979[/C][C]-7.87045117229789[/C][/ROW]
[ROW][C]260[/C][C]16[/C][C]9.34739576247347[/C][C]6.65260423752653[/C][/ROW]
[ROW][C]261[/C][C]2[/C][C]11.6814794076064[/C][C]-9.68147940760645[/C][/ROW]
[ROW][C]262[/C][C]42[/C][C]33.5516754780962[/C][C]8.44832452190385[/C][/ROW]
[ROW][C]263[/C][C]5[/C][C]5.85623045795708[/C][C]-0.856230457957081[/C][/ROW]
[ROW][C]264[/C][C]37[/C][C]19.1332053220003[/C][C]17.8667946779997[/C][/ROW]
[ROW][C]265[/C][C]17[/C][C]23.5548885556744[/C][C]-6.55488855567442[/C][/ROW]
[ROW][C]266[/C][C]38[/C][C]27.3386331508831[/C][C]10.6613668491169[/C][/ROW]
[ROW][C]267[/C][C]37[/C][C]31.1737614293901[/C][C]5.82623857060991[/C][/ROW]
[ROW][C]268[/C][C]29[/C][C]17.0247238913775[/C][C]11.9752761086225[/C][/ROW]
[ROW][C]269[/C][C]32[/C][C]39.2482584675807[/C][C]-7.24825846758066[/C][/ROW]
[ROW][C]270[/C][C]35[/C][C]30.2912143191191[/C][C]4.70878568088085[/C][/ROW]
[ROW][C]271[/C][C]17[/C][C]38.171587635963[/C][C]-21.171587635963[/C][/ROW]
[ROW][C]272[/C][C]20[/C][C]30.9723924697852[/C][C]-10.9723924697852[/C][/ROW]
[ROW][C]273[/C][C]7[/C][C]4.46412041896556[/C][C]2.53587958103444[/C][/ROW]
[ROW][C]274[/C][C]46[/C][C]36.3043460687273[/C][C]9.69565393127266[/C][/ROW]
[ROW][C]275[/C][C]24[/C][C]16.8950618332643[/C][C]7.10493816673574[/C][/ROW]
[ROW][C]276[/C][C]40[/C][C]21.6204269540565[/C][C]18.3795730459435[/C][/ROW]
[ROW][C]277[/C][C]3[/C][C]13.9318890709406[/C][C]-10.9318890709406[/C][/ROW]
[ROW][C]278[/C][C]10[/C][C]-4.00059355049419[/C][C]14.0005935504942[/C][/ROW]
[ROW][C]279[/C][C]37[/C][C]29.4785083210249[/C][C]7.5214916789751[/C][/ROW]
[ROW][C]280[/C][C]17[/C][C]34.8824898961355[/C][C]-17.8824898961355[/C][/ROW]
[ROW][C]281[/C][C]28[/C][C]36.8682077894237[/C][C]-8.86820778942373[/C][/ROW]
[ROW][C]282[/C][C]19[/C][C]26.0191782001506[/C][C]-7.0191782001506[/C][/ROW]
[ROW][C]283[/C][C]29[/C][C]22.8978833343133[/C][C]6.10211666568672[/C][/ROW]
[ROW][C]284[/C][C]8[/C][C]3.40248924053942[/C][C]4.59751075946058[/C][/ROW]
[ROW][C]285[/C][C]10[/C][C]27.9291605228325[/C][C]-17.9291605228325[/C][/ROW]
[ROW][C]286[/C][C]15[/C][C]21.9680973827183[/C][C]-6.96809738271831[/C][/ROW]
[ROW][C]287[/C][C]15[/C][C]18.3561338915418[/C][C]-3.35613389154181[/C][/ROW]
[ROW][C]288[/C][C]28[/C][C]25.7472608643932[/C][C]2.25273913560677[/C][/ROW]
[ROW][C]289[/C][C]17[/C][C]28.2928937203005[/C][C]-11.2928937203005[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=186320&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=186320&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
17972.38093663439856.61906336560146
25853.48222634693724.51777365306278
36062.9515814702325-2.95158147023249
410879.832532400879428.1674675991206
54938.934199236427710.0658007635723
6030.4806996920614-30.4806996920614
7121125.856036219666-4.85603621966586
8113.6901459054417-12.6901459054417
92031.1266648461717-11.1266648461717
104360.3355316814355-17.3355316814355
116958.334615383321910.6653846166781
127895.8320391441598-17.8320391441598
138681.85029989732934.14970010267076
144451.841955906631-7.84195590663102
15104100.5459107884143.45408921158615
166358.42244719691024.57755280308977
17158142.67466484367115.3253351563293
1810283.611347258942518.3886527410575
197780.6692947636347-3.66929476363466
208250.961286649715331.0387133502847
2111581.85758380494333.142416195057
2210189.257455394844811.7425446051552
2380111.944828212701-31.9448282127007
245052.9506227310303-2.95062273103034
258373.4085020145259.59149798547497
2612387.108265536795235.8917344632048
277381.0509450542622-8.05094505426218
288182.0666998224706-1.06669982247061
2910587.695313571884617.3046864281154
304754.8558106523983-7.85581065239829
3110588.296172749577716.7038272504223
329488.51145379815865.48854620184137
334478.3814958842682-34.3814958842682
34114110.2444479041223.75555209587771
353848.0283211099965-10.0283211099965
36107108.416579662891-1.41657966289069
373030.1494286378676-0.149428637867586
387184.7778427089371-13.7778427089371
3984117.462795355803-33.4627953558028
400-7.455814801777347.45581480177734
415960.9150464301252-1.91504643012518
423328.9896736694594.01032633054103
434234.09865672225297.90134327774711
4496100.488713841554-4.48871384155436
4510690.523648611885715.4763513881143
465661.9773393220374-5.97733932203738
475769.0304093879275-12.0304093879276
485957.72066411232581.27933588767421
493946.7058620879697-7.70586208796965
503443.2830727286161-9.28307272861608
5176129.228875997723-53.2288759977234
522035.9738244492754-15.9738244492754
539188.62103602025752.37896397974249
54115107.0656232063697.93437679363107
558572.379125275410712.6208747245893
567670.72820279382985.27179720617016
5781.838029953511576.16197004648843
5879110.178135500517-31.1781355005167
592125.0333031356594-4.03330313565944
603030.916950402482-0.916950402482021
617683.8872876422053-7.8872876422053
62101103.017336641002-2.01733664100198
6394105.892458580001-11.8924585800006
642735.4434131040226-8.44341310402257
659282.35768380495319.64231619504687
66123100.14779592862922.8522040713711
677565.49479962446859.50520037553146
68128110.11022090159217.8897790984083
6910568.527988879187636.4720111208124
705567.996415900413-12.996415900413
715677.0795892895985-21.0795892895985
724173.1959157532692-32.1959157532692
737260.703655098493111.2963449015069
746759.05834166359327.9416583364068
757575.833485968084-0.833485968084013
7611472.428618770739741.5713812292603
7711844.641091010484673.3589089895154
787777.1109604335831-0.110960433583127
792232.4515238979345-10.4515238979344
806686.8315167631156-20.8315167631156
816962.68981619880896.31018380119108
8210573.110780718832531.8892192811675
8311697.423634836236118.5763651637639
848886.09413073728221.9058692627178
857368.63130883374184.36869116625825
869963.542597620516135.4574023794839
876269.3099171861713-7.30991718617133
885349.46124026873653.5387597312635
89118121.071052335501-3.07105233550121
903060.5429150942784-30.5429150942784
9110061.916297902965438.0837020970346
924923.406224909450125.5937750905499
932455.3124357436206-31.3124357436206
946755.043018135697111.9569818643029
954644.15964398088781.84035601911217
9657104.794465303643-47.7944653036428
977593.8695111105287-18.8695111105287
9813583.787630381895251.2123696181048
996873.6416558403554-5.64165584035535
10012476.87977483212847.120225167872
1013348.7356050081886-15.7356050081886
1029892.49533728730775.5046627126923
1035885.9168613527356-27.9168613527356
1046867.84413477125560.15586522874436
1058167.049052340800613.9509476591994
10613183.258777717925547.7412222820745
107110119.933354241109-9.9333542411089
1083732.72123393423484.27876606576516
10913091.674629932225738.3253700677743
1109391.98229742137511.01770257862491
11111889.847354948782628.1526450512174
1123955.9509659832323-16.9509659832323
1131322.6678062083628-9.66780620836283
1147444.113962519492829.8860374805072
1158163.447958090973617.5520419090264
11610983.267168643305425.7328313566947
11715192.104030647058958.8959693529411
1185168.6368424600226-17.6368424600226
1192843.3112829493389-15.3112829493389
1204031.50316339828268.4968366017174
1215648.8988297868117.10117021318904
1222721.26568533814365.73431466185637
1233746.6189564694212-9.61895646942122
1248355.68302219485427.316977805146
1255479.7354113431476-25.7354113431476
1262719.75909201146727.24090798853277
1272829.9439898992749-1.94398989927493
1285947.947820643352211.0521793566478
12913395.632610948809537.3673890511905
13012-2.9889452185503414.9889452185503
13107.69906241521349-7.69906241521349
13210666.906418706840339.0935812931597
1332312.073392114027510.9266078859725
1344453.1882674369965-9.18826743699645
1357165.56862648864675.43137351135333
136116102.78050997927113.2194900207289
1374-3.486737719738957.48673771973895
1386263.4700683678417-1.47006836784173
139129.881049949477232.11895005052277
140185.4011198026015512.5988801973984
1411419.1975586833734-5.19755868337338
1426048.701866173524311.2981338264757
143736.1811740637629-29.1811740637629
1449896.06863981923911.93136018076086
1456481.082518051352-17.082518051352
1462933.7571465958912-4.75714659589119
1473260.9705384001767-28.9705384001766
1482541.9114401646421-16.9114401646421
1491610.99491975604465.0050802439554
1504873.4981700620346-25.4981700620346
151100115.351801845092-15.3518018450916
1524686.403365865732-40.403365865732
1534534.443202664911510.5567973350885
154129127.7831712863351.21682871366467
15513099.505777378699530.4942226213005
156136133.3144400686222.68555993137822
1575971.0107659717857-12.0107659717857
1582532.0800645780251-7.08006457802509
1593246.0806244134521-14.0806244134521
1606386.6998799484979-23.6998799484979
16195129.34874853499-34.3487485349901
1621439.4148919272689-25.4148919272689
1633642.5629411038949-6.56294110389488
164113127.141215838036-14.1412158380358
1654756.0284572375208-9.02845723752083
1669283.36797830126058.63202169873955
1677068.78955895221351.21044104778653
1681949.4696968313215-30.4696968313215
1695038.945088913852411.0549110861476
1704173.5149261909161-32.5149261909161
17191100.803887468129-9.80388746812867
17211175.889736860595335.1102631394047
1734161.658200259875-20.658200259875
17412089.289442512573230.7105574874268
17513569.59972204315265.400277956848
1762744.7267315581918-17.7267315581918
1778782.52585166246834.47414833753169
1782536.5319744959485-11.5319744959485
17913194.085288667337236.9147113326628
1804538.13581592437936.86418407562066
1812916.109412214114812.8905877858852
1825836.080824810953221.9191751890468
1834-5.77015841239989.7701584123998
1844765.5681376944631-18.5681376944631
18510997.168511350049711.8314886499503
1867-7.3806487982561214.3806487982561
187128.612721807477993.38727819252201
1880-3.993275239626443.99327523962644
1893746.2341589296176-9.2341589296176
1903740.4743916684113-3.47439166841126
1914647.910483458361-1.91048345836104
1921538.0571973560797-23.0571973560797
1934222.462796346008419.5372036539916
194726.9605342455916-19.9605342455916
1955458.4328723440885-4.43287234408854
1965435.201271638851318.7987283611487
1971437.2739533916829-23.2739533916829
1981622.2415392575213-6.24153925752126
1993338.2684488944875-5.26844889448749
2003228.59756235614793.40243764385206
2012126.2075640217273-5.20756402172728
2021522.2210438903368-7.22104389033685
2033846.804928776014-8.80492877601402
2042241.3388314141423-19.3388314141423
2052836.8533539637725-8.8533539637725
2061021.8878565036682-11.8878565036682
2073130.90108732516840.0989126748315786
2083258.001747833771-26.001747833771
2093245.3457873678769-13.3457873678769
2104353.1014561084448-10.1014561084448
2112719.70217034490837.29782965509169
2123740.656005634378-3.65600563437803
2132024.8050468361252-4.80504683612518
2143233.4172443675909-1.41724436759095
215027.6625949256495-27.6625949256495
216533.366904693746-28.366904693746
2172626.2816966708922-0.281696670892213
2181013.0952333610244-3.09523336102443
2192721.48965726526655.51034273473345
2201130.9188218925903-19.9188218925903
2212937.3798564104705-8.37985641047054
2222540.8327358647579-15.8327358647579
2235538.30107701668316.698922983317
2242329.9667192654398-6.96671926543978
225517.3397591371733-12.3397591371733
2264336.37909599502476.62090400497533
2272312.885987925633610.1140120743664
2283430.16450285211733.83549714788269
2293619.600629842809516.3993701571905
2303543.0856082700943-8.0856082700943
231018.682739587031-18.682739587031
2323728.29878857241918.7012114275809
2332835.3984541486972-7.39845414869721
2341620.8914675652841-4.89146756528408
2352629.9400842590151-3.94008425901512
2363825.281529903057612.7184700969424
2372351.7854606462767-28.7854606462767
2382215.68058019756146.3194198024386
2393029.39182503618620.608174963813799
2401620.4536820877768-4.45368208777684
2411829.9398484092675-11.9398484092675
2422853.1403890651897-25.1403890651897
2433222.6496948738989.35030512610196
2442119.85379475856841.14620524143162
2452327.1986692426117-4.19866924261166
2462931.8378396832266-2.83783968322665
2475036.007990674957613.9920093250424
2481230.9804937362775-18.9804937362775
2492126.3189645759214-5.31896457592137
250185.6622056689696712.3377943310303
2512756.6876314501804-29.6876314501804
2524141.6205106888707-0.620510688870729
25313-4.8884555870865117.8884555870865
2541239.7429168969096-27.7429168969096
2552136.1505606154977-15.1505606154977
25682.204800675583185.79519932441682
257269.6557848804839516.3442151195161
2582730.9277518804573-3.92775188045729
2591320.8704511722979-7.87045117229789
260169.347395762473476.65260423752653
261211.6814794076064-9.68147940760645
2624233.55167547809628.44832452190385
26355.85623045795708-0.856230457957081
2643719.133205322000317.8667946779997
2651723.5548885556744-6.55488855567442
2663827.338633150883110.6613668491169
2673731.17376142939015.82623857060991
2682917.024723891377511.9752761086225
2693239.2482584675807-7.24825846758066
2703530.29121431911914.70878568088085
2711738.171587635963-21.171587635963
2722030.9723924697852-10.9723924697852
27374.464120418965562.53587958103444
2744636.30434606872739.69565393127266
2752416.89506183326437.10493816673574
2764021.620426954056518.3795730459435
277313.9318890709406-10.9318890709406
27810-4.0005935504941914.0005935504942
2793729.47850832102497.5214916789751
2801734.8824898961355-17.8824898961355
2812836.8682077894237-8.86820778942373
2821926.0191782001506-7.0191782001506
2832922.89788333431336.10211666568672
28483.402489240539424.59751075946058
2851027.9291605228325-17.9291605228325
2861521.9680973827183-6.96809738271831
2871518.3561338915418-3.35613389154181
2882825.74726086439322.25273913560677
2891728.2928937203005-11.2928937203005







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.7739862734807390.4520274530385220.226013726519261
100.7387270522085170.5225458955829670.261272947791483
110.6394979643138660.7210040713722690.360502035686134
120.7145902438997320.5708195122005370.285409756100268
130.6184629728755890.7630740542488220.381537027124411
140.5186979289778820.9626041420442370.481302071022118
150.416299156328070.8325983126561390.58370084367193
160.3345896428508330.6691792857016670.665410357149167
170.2578120513436320.5156241026872640.742187948656368
180.255653243659390.5113064873187810.74434675634061
190.1936381156790640.3872762313581280.806361884320936
200.3549082624953290.7098165249906590.645091737504671
210.4395454951947970.8790909903895940.560454504805203
220.369748560373350.73949712074670.63025143962665
230.5673052997763410.8653894004473170.432694700223659
240.4973729454707550.994745890941510.502627054529245
250.4314789377005240.8629578754010480.568521062299476
260.466329680293070.9326593605861390.53367031970693
270.466804091247130.9336081824942590.53319590875287
280.4044149639679980.8088299279359960.595585036032002
290.3753921159933340.7507842319866690.624607884006666
300.3389945508965950.677989101793190.661005449103405
310.3049552823970330.6099105647940670.695044717602967
320.2553689907367020.5107379814734040.744631009263298
330.4700897725186060.9401795450372120.529910227481394
340.4157283406336430.8314566812672860.584271659366357
350.3908317767025780.7816635534051560.609168223297422
360.342545089208520.6850901784170410.65745491079148
370.295490575328570.5909811506571390.70450942467143
380.2811708552032590.5623417104065180.718829144796741
390.3916036651738990.7832073303477980.608396334826101
400.3511250998405150.702250199681030.648874900159485
410.3044284818474520.6088569636949050.695571518152548
420.2648539295479770.5297078590959530.735146070452023
430.2284076251833550.4568152503667110.771592374816645
440.1954905198397560.3909810396795110.804509480160244
450.1752606079077430.3505212158154850.824739392092257
460.1489674977440550.297934995488110.851032502255945
470.1478033934768370.2956067869536740.852196606523163
480.1212611398474050.2425222796948090.878738860152595
490.1025369396696010.2050738793392020.897463060330399
500.09007315107303690.1801463021460740.909926848926963
510.2892903203767080.5785806407534150.710709679623292
520.286203232405140.5724064648102810.71379676759486
530.2482892073158450.4965784146316910.751710792684155
540.219754033912530.4395080678250590.78024596608747
550.1954426595913740.3908853191827480.804557340408626
560.1683504104057450.336700820811490.831649589594255
570.1442309210879410.2884618421758810.855769078912059
580.1796714117381870.3593428234763750.820328588261813
590.1559778618203420.3119557236406840.844022138179658
600.1309345700318970.2618691400637950.869065429968103
610.1115743028213220.2231486056426430.888425697178678
620.09283955057341390.1856791011468280.907160449426586
630.07866372662894230.1573274532578850.921336273371058
640.06654978332587490.133099566651750.933450216674125
650.05923284169293640.1184656833858730.940767158307064
660.06959965900275180.1391993180055040.930400340997248
670.06110142982136610.1222028596427320.938898570178634
680.06531798480915710.1306359696183140.934682015190843
690.1298157266040740.2596314532081480.870184273395926
700.1150540785255150.230108157051030.884945921474485
710.1300587110933160.2601174221866320.869941288906684
720.173900167475740.347800334951480.82609983252426
730.1682348922084250.3364697844168490.831765107791575
740.1460884421101290.2921768842202580.853911557889871
750.1247636479023480.2495272958046970.875236352097652
760.2323624713078180.4647249426156350.767637528692182
770.7129190732165790.5741618535668430.287080926783421
780.6839702772060720.6320594455878570.316029722793928
790.6687668299296430.6624663401407130.331233170070357
800.6873377719968660.6253244560062670.312662228003134
810.6583940114561290.6832119770877410.341605988543871
820.7098443872475540.5803112255048920.290155612752446
830.7131894159543030.5736211680913940.286810584045697
840.6805027200050110.6389945599899780.319497279994989
850.64860875814640.7027824837071990.3513912418536
860.7161813728651370.5676372542697270.283818627134863
870.6899712712520940.6200574574958120.310028728747906
880.6570475848847450.6859048302305090.342952415115255
890.626317420538560.7473651589228790.37368257946144
900.6988083630224030.6023832739551930.301191636977597
910.7878358536483730.4243282927032550.212164146351627
920.7976805288662920.4046389422674170.202319471133708
930.8436295461501370.3127409076997260.156370453849863
940.8288064688082140.3423870623835710.171193531191786
950.8057189104683480.3885621790633040.194281089531652
960.9102257047198970.1795485905602060.0897742952801031
970.9062397498969770.1875205002060460.0937602501030232
980.9665884395405240.0668231209189530.0334115604594765
990.9603617679623250.07927646407535040.0396382320376752
1000.9859338246789570.02813235064208520.0140661753210426
1010.9850438840447620.02991223191047690.0149561159552385
1020.9816900651256420.03661986974871640.0183099348743582
1030.9858135117837420.02837297643251620.0141864882162581
1040.982602142524530.03479571495094010.0173978574754701
1050.9807319268201780.03853614635964420.0192680731798221
1060.99465018844510.01069962310979950.00534981155489976
1070.993653544866130.01269291026774070.00634645513387036
1080.9919523486214120.01609530275717520.00804765137858761
1090.9965351106978320.006929778604335380.00346488930216769
1100.9956145933718440.008770813256312090.00438540662815605
1110.9968731819723180.006253636055363350.00312681802768168
1120.9968222969629590.006355406074081710.00317770303704086
1130.9963090715725120.00738185685497640.0036909284274882
1140.9974345464231750.005130907153649390.00256545357682469
1150.9972897035041860.005420592991628420.00271029649581421
1160.9978111782772440.004377643445512570.00218882172275629
1170.999862699526360.0002746009472806910.000137300473640345
1180.9998586124060930.0002827751878141520.000141387593907076
1190.9998476207936040.0003047584127916260.000152379206395813
1200.9998007779184890.0003984441630222940.000199222081511147
1210.9997360091147680.0005279817704632730.000263990885231636
1220.99964458574010.0007108285197997680.000355414259899884
1230.9995574587475770.000885082504845180.00044254125242259
1240.9997053846248890.0005892307502223370.000294615375111169
1250.9997655611322580.0004688777354834680.000234438867741734
1260.9996901604980260.0006196790039472350.000309839501973618
1270.9995817546610660.0008364906778675480.000418245338933774
1280.9995150047636250.0009699904727502860.000484995236375143
1290.9998384493565990.000323101286802780.00016155064340139
1300.9998066363017580.0003867273964836840.000193363698241842
1310.9997538341470480.0004923317059041280.000246165852952064
1320.9999346990369430.0001306019261141276.53009630570634e-05
1330.9999157754636180.0001684490727631228.42245363815611e-05
1340.9998940430672890.0002119138654210390.000105956932710519
1350.9998692981699840.0002614036600313350.000130701830015667
1360.999856536397940.0002869272041201470.000143463602060073
1370.9998046804793660.000390639041268240.00019531952063412
1380.9997309163686650.0005381672626695340.000269083631334767
1390.9996362841672750.0007274316654508990.00036371583272545
1400.9995543745284960.0008912509430082970.000445625471504149
1410.9994244925327350.001151014934530310.000575507467265153
1420.9993295943753120.001340811249376740.00067040562468837
1430.9995895895346860.0008208209306278720.000410410465313936
1440.9994727152186350.001054569562729850.000527284781364923
1450.9994055126331590.001188974733681170.000594487366840587
1460.9992220755455820.001555848908835980.000777924454417992
1470.9994589442199750.001082111560050690.000541055780025343
1480.9994282165125970.001143566974805250.000571783487402626
1490.9992453423113120.001509315377375330.000754657688687665
1500.9993717830175560.001256433964888490.000628216982444243
1510.9992583009780260.001483398043947050.000741699021973525
1520.9997302936252290.0005394127495417630.000269706374770882
1530.9996747712787190.0006504574425624840.000325228721281242
1540.9995841106698150.0008317786603693220.000415889330184661
1550.9998346938699440.000330612260111440.00016530613005572
1560.9998026504460710.0003946991078589050.000197349553929452
1570.9997504365014460.0004991269971086420.000249563498554321
1580.9996723137393460.0006553725213083820.000327686260654191
1590.9996155083005280.0007689833989443760.000384491699472188
1600.9996465732014330.000706853597133140.00035342679856657
1610.999782169137230.0004356617255407860.000217830862770393
1620.9998959547484470.0002080905031051940.000104045251552597
1630.999858590923770.0002828181524589120.000141409076229456
1640.9998153648314020.0003692703371966440.000184635168598322
1650.9997656582180780.0004686835638442920.000234341781922146
1660.9997256890699960.0005486218600086530.000274310930004327
1670.9996325016514670.0007349966970657470.000367498348532874
1680.9997731762911680.0004536474176636040.000226823708831802
1690.999733845266010.00053230946798070.00026615473399035
1700.9998499298102710.000300140379458050.000150070189729025
1710.9998330434890650.0003339130218699890.000166956510934994
1720.9999556937444138.86125111740109e-054.43062555870055e-05
1730.9999628587919887.42824160235081e-053.7141208011754e-05
1740.9999786945618454.26108763096869e-052.13054381548435e-05
1750.999999998260073.47985917149987e-091.73992958574993e-09
1760.9999999988083042.38339125489997e-091.19169562744999e-09
1770.9999999986152.76999927600789e-091.38499963800394e-09
1780.9999999979162544.16749216669141e-092.0837460833457e-09
1790.9999999999996996.02569446896049e-133.01284723448025e-13
1800.9999999999995029.9554796010906e-134.9777398005453e-13
1810.9999999999991271.7451384202252e-128.72569210112599e-13
1820.9999999999997534.94221982769063e-132.47110991384531e-13
1830.9999999999995099.81422662630329e-134.90711331315165e-13
1840.9999999999992891.4212400658958e-127.10620032947898e-13
1850.9999999999999261.48029494931602e-137.4014747465801e-14
1860.9999999999998532.94361781725753e-131.47180890862877e-13
1870.9999999999997345.32781718288118e-132.66390859144059e-13
1880.9999999999995888.24207837477666e-134.12103918738833e-13
1890.9999999999992041.59184602052417e-127.95923010262083e-13
1900.9999999999988712.25770547486604e-121.12885273743302e-12
1910.9999999999982823.43559723486405e-121.71779861743203e-12
1920.9999999999990061.98793827329024e-129.93969136645122e-13
1930.9999999999991391.72238420302569e-128.61192101512843e-13
1940.9999999999989692.06101244531898e-121.03050622265949e-12
1950.9999999999989452.11107768480379e-121.0555388424019e-12
1960.9999999999996027.95840123920204e-133.97920061960102e-13
1970.9999999999996846.31507095132962e-133.15753547566481e-13
1980.999999999999381.23997400614425e-126.19987003072123e-13
1990.9999999999987232.55330868392864e-121.27665434196432e-12
2000.9999999999980153.96985495992367e-121.98492747996184e-12
2010.999999999995948.11938008498709e-124.05969004249355e-12
2020.9999999999918831.62337363385677e-118.11686816928385e-12
2030.9999999999840333.19333510430159e-111.5966675521508e-11
2040.9999999999781784.36448225836505e-112.18224112918253e-11
2050.9999999999604777.90467628731319e-113.95233814365659e-11
2060.999999999939761.20480618510624e-106.02403092553121e-11
2070.9999999998918032.16394318977598e-101.08197159488799e-10
2080.9999999999082531.83493206393645e-109.17466031968227e-11
2090.9999999998353013.29397348928307e-101.64698674464154e-10
2100.9999999997318325.36335242696971e-102.68167621348485e-10
2110.9999999994796231.0407537929131e-095.2037689645655e-10
2120.9999999990679771.86404505193995e-099.32022525969977e-10
2130.9999999981944273.61114541493836e-091.80557270746918e-09
2140.999999997093495.81301918126872e-092.90650959063436e-09
2150.9999999991918621.61627516030412e-098.0813758015206e-10
2160.9999999995308469.38308406909772e-104.69154203454886e-10
2170.9999999990631431.87371401615085e-099.36857008075425e-10
2180.9999999987949342.41013110595539e-091.20506555297769e-09
2190.999999997732474.53506018439028e-092.26753009219514e-09
2200.9999999972940835.41183505806836e-092.70591752903418e-09
2210.9999999947085761.05828488188645e-085.29142440943226e-09
2220.9999999941022261.17955481403663e-085.89777407018314e-09
2230.9999999952242699.55146233926182e-094.77573116963091e-09
2240.9999999905471371.89057255050676e-089.4528627525338e-09
2250.9999999886486322.27027358025073e-081.13513679012536e-08
2260.9999999816403983.6719204706294e-081.8359602353147e-08
2270.9999999682845016.34309981542261e-083.1715499077113e-08
2280.9999999466264671.06747066709942e-075.3373533354971e-08
2290.9999999458231961.08353607898242e-075.41768039491209e-08
2300.9999999011670781.97665843637854e-079.8832921818927e-08
2310.9999999629027517.41944981716535e-083.70972490858268e-08
2320.9999999605670417.886591873974e-083.943295936987e-08
2330.9999999212140791.57571841175801e-077.87859205879007e-08
2340.9999998590986052.81802789288444e-071.40901394644222e-07
2350.9999997214112255.57177549347781e-072.7858877467389e-07
2360.9999997491044185.01791164123895e-072.50895582061947e-07
2370.9999997041142385.91771524372889e-072.95885762186444e-07
2380.9999994395108081.12097838326775e-065.60489191633873e-07
2390.9999990084842411.98303151721866e-069.91515758609328e-07
2400.999998169135623.66172876073176e-061.83086438036588e-06
2410.9999970142726265.9714547489018e-062.9857273744509e-06
2420.9999958367961828.32640763545165e-064.16320381772583e-06
2430.9999947571615251.04856769508786e-055.24283847543929e-06
2440.9999900799648361.98400703287501e-059.92003516437503e-06
2450.9999814050952163.71898095678461e-051.85949047839231e-05
2460.9999658596332666.82807334688429e-053.41403667344215e-05
2470.9999848122217173.0375556566525e-051.51877782832625e-05
2480.9999857766216052.84467567891319e-051.42233783945659e-05
2490.9999728918227325.4216354536091e-052.71081772680455e-05
2500.999956854508078.62909838600612e-054.31454919300306e-05
2510.9999543843231729.12313536558112e-054.56156768279056e-05
2520.9999310546388340.000137890722332176.89453611660852e-05
2530.9998852304790620.0002295390418769890.000114769520938495
2540.999946266033870.0001074679322604655.37339661302324e-05
2550.9999172885903720.0001654228192552638.27114096276313e-05
2560.9998405665264960.0003188669470080120.000159433473504006
2570.9998471412938640.0003057174122729540.000152858706136477
2580.9997058515692920.0005882968614166060.000294148430708303
2590.9995808565459730.0008382869080544130.000419143454027206
2600.9992369006685580.001526198662884010.000763099331442003
2610.9989870755812180.002025848837563620.00101292441878181
2620.9991192190380850.001761561923830020.000880780961915008
2630.9985044903192140.002991019361571250.00149550968078562
2640.9989493751116320.002101249776735760.00105062488836788
2650.9979639886158820.004072022768236330.00203601138411816
2660.9978722411486630.004255517702673340.00212775885133667
2670.9980824277828460.003835144434308280.00191757221715414
2680.9980583307190260.003883338561948150.00194166928097407
2690.9960662417598380.007867516480324740.00393375824016237
2700.9967160176964140.006567964607171670.00328398230358583
2710.9972143434287780.005571313142443360.00278565657122168
2720.9939346414804690.01213071703906140.00606535851953071
2730.9871945604303430.02561087913931480.0128054395696574
2740.9875063526989320.02498729460213580.0124936473010679
2750.9861774857518460.02764502849630810.013822514248154
2760.9817468590140660.03650628197186880.0182531409859344
2770.9927195836849470.01456083263010710.00728041631505354
2780.9811100982099480.03777980358010440.0188899017900522
2790.961431636164260.07713672767148020.0385683638357401
2800.9384090695568550.123181860886290.061590930443145

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
9 & 0.773986273480739 & 0.452027453038522 & 0.226013726519261 \tabularnewline
10 & 0.738727052208517 & 0.522545895582967 & 0.261272947791483 \tabularnewline
11 & 0.639497964313866 & 0.721004071372269 & 0.360502035686134 \tabularnewline
12 & 0.714590243899732 & 0.570819512200537 & 0.285409756100268 \tabularnewline
13 & 0.618462972875589 & 0.763074054248822 & 0.381537027124411 \tabularnewline
14 & 0.518697928977882 & 0.962604142044237 & 0.481302071022118 \tabularnewline
15 & 0.41629915632807 & 0.832598312656139 & 0.58370084367193 \tabularnewline
16 & 0.334589642850833 & 0.669179285701667 & 0.665410357149167 \tabularnewline
17 & 0.257812051343632 & 0.515624102687264 & 0.742187948656368 \tabularnewline
18 & 0.25565324365939 & 0.511306487318781 & 0.74434675634061 \tabularnewline
19 & 0.193638115679064 & 0.387276231358128 & 0.806361884320936 \tabularnewline
20 & 0.354908262495329 & 0.709816524990659 & 0.645091737504671 \tabularnewline
21 & 0.439545495194797 & 0.879090990389594 & 0.560454504805203 \tabularnewline
22 & 0.36974856037335 & 0.7394971207467 & 0.63025143962665 \tabularnewline
23 & 0.567305299776341 & 0.865389400447317 & 0.432694700223659 \tabularnewline
24 & 0.497372945470755 & 0.99474589094151 & 0.502627054529245 \tabularnewline
25 & 0.431478937700524 & 0.862957875401048 & 0.568521062299476 \tabularnewline
26 & 0.46632968029307 & 0.932659360586139 & 0.53367031970693 \tabularnewline
27 & 0.46680409124713 & 0.933608182494259 & 0.53319590875287 \tabularnewline
28 & 0.404414963967998 & 0.808829927935996 & 0.595585036032002 \tabularnewline
29 & 0.375392115993334 & 0.750784231986669 & 0.624607884006666 \tabularnewline
30 & 0.338994550896595 & 0.67798910179319 & 0.661005449103405 \tabularnewline
31 & 0.304955282397033 & 0.609910564794067 & 0.695044717602967 \tabularnewline
32 & 0.255368990736702 & 0.510737981473404 & 0.744631009263298 \tabularnewline
33 & 0.470089772518606 & 0.940179545037212 & 0.529910227481394 \tabularnewline
34 & 0.415728340633643 & 0.831456681267286 & 0.584271659366357 \tabularnewline
35 & 0.390831776702578 & 0.781663553405156 & 0.609168223297422 \tabularnewline
36 & 0.34254508920852 & 0.685090178417041 & 0.65745491079148 \tabularnewline
37 & 0.29549057532857 & 0.590981150657139 & 0.70450942467143 \tabularnewline
38 & 0.281170855203259 & 0.562341710406518 & 0.718829144796741 \tabularnewline
39 & 0.391603665173899 & 0.783207330347798 & 0.608396334826101 \tabularnewline
40 & 0.351125099840515 & 0.70225019968103 & 0.648874900159485 \tabularnewline
41 & 0.304428481847452 & 0.608856963694905 & 0.695571518152548 \tabularnewline
42 & 0.264853929547977 & 0.529707859095953 & 0.735146070452023 \tabularnewline
43 & 0.228407625183355 & 0.456815250366711 & 0.771592374816645 \tabularnewline
44 & 0.195490519839756 & 0.390981039679511 & 0.804509480160244 \tabularnewline
45 & 0.175260607907743 & 0.350521215815485 & 0.824739392092257 \tabularnewline
46 & 0.148967497744055 & 0.29793499548811 & 0.851032502255945 \tabularnewline
47 & 0.147803393476837 & 0.295606786953674 & 0.852196606523163 \tabularnewline
48 & 0.121261139847405 & 0.242522279694809 & 0.878738860152595 \tabularnewline
49 & 0.102536939669601 & 0.205073879339202 & 0.897463060330399 \tabularnewline
50 & 0.0900731510730369 & 0.180146302146074 & 0.909926848926963 \tabularnewline
51 & 0.289290320376708 & 0.578580640753415 & 0.710709679623292 \tabularnewline
52 & 0.28620323240514 & 0.572406464810281 & 0.71379676759486 \tabularnewline
53 & 0.248289207315845 & 0.496578414631691 & 0.751710792684155 \tabularnewline
54 & 0.21975403391253 & 0.439508067825059 & 0.78024596608747 \tabularnewline
55 & 0.195442659591374 & 0.390885319182748 & 0.804557340408626 \tabularnewline
56 & 0.168350410405745 & 0.33670082081149 & 0.831649589594255 \tabularnewline
57 & 0.144230921087941 & 0.288461842175881 & 0.855769078912059 \tabularnewline
58 & 0.179671411738187 & 0.359342823476375 & 0.820328588261813 \tabularnewline
59 & 0.155977861820342 & 0.311955723640684 & 0.844022138179658 \tabularnewline
60 & 0.130934570031897 & 0.261869140063795 & 0.869065429968103 \tabularnewline
61 & 0.111574302821322 & 0.223148605642643 & 0.888425697178678 \tabularnewline
62 & 0.0928395505734139 & 0.185679101146828 & 0.907160449426586 \tabularnewline
63 & 0.0786637266289423 & 0.157327453257885 & 0.921336273371058 \tabularnewline
64 & 0.0665497833258749 & 0.13309956665175 & 0.933450216674125 \tabularnewline
65 & 0.0592328416929364 & 0.118465683385873 & 0.940767158307064 \tabularnewline
66 & 0.0695996590027518 & 0.139199318005504 & 0.930400340997248 \tabularnewline
67 & 0.0611014298213661 & 0.122202859642732 & 0.938898570178634 \tabularnewline
68 & 0.0653179848091571 & 0.130635969618314 & 0.934682015190843 \tabularnewline
69 & 0.129815726604074 & 0.259631453208148 & 0.870184273395926 \tabularnewline
70 & 0.115054078525515 & 0.23010815705103 & 0.884945921474485 \tabularnewline
71 & 0.130058711093316 & 0.260117422186632 & 0.869941288906684 \tabularnewline
72 & 0.17390016747574 & 0.34780033495148 & 0.82609983252426 \tabularnewline
73 & 0.168234892208425 & 0.336469784416849 & 0.831765107791575 \tabularnewline
74 & 0.146088442110129 & 0.292176884220258 & 0.853911557889871 \tabularnewline
75 & 0.124763647902348 & 0.249527295804697 & 0.875236352097652 \tabularnewline
76 & 0.232362471307818 & 0.464724942615635 & 0.767637528692182 \tabularnewline
77 & 0.712919073216579 & 0.574161853566843 & 0.287080926783421 \tabularnewline
78 & 0.683970277206072 & 0.632059445587857 & 0.316029722793928 \tabularnewline
79 & 0.668766829929643 & 0.662466340140713 & 0.331233170070357 \tabularnewline
80 & 0.687337771996866 & 0.625324456006267 & 0.312662228003134 \tabularnewline
81 & 0.658394011456129 & 0.683211977087741 & 0.341605988543871 \tabularnewline
82 & 0.709844387247554 & 0.580311225504892 & 0.290155612752446 \tabularnewline
83 & 0.713189415954303 & 0.573621168091394 & 0.286810584045697 \tabularnewline
84 & 0.680502720005011 & 0.638994559989978 & 0.319497279994989 \tabularnewline
85 & 0.6486087581464 & 0.702782483707199 & 0.3513912418536 \tabularnewline
86 & 0.716181372865137 & 0.567637254269727 & 0.283818627134863 \tabularnewline
87 & 0.689971271252094 & 0.620057457495812 & 0.310028728747906 \tabularnewline
88 & 0.657047584884745 & 0.685904830230509 & 0.342952415115255 \tabularnewline
89 & 0.62631742053856 & 0.747365158922879 & 0.37368257946144 \tabularnewline
90 & 0.698808363022403 & 0.602383273955193 & 0.301191636977597 \tabularnewline
91 & 0.787835853648373 & 0.424328292703255 & 0.212164146351627 \tabularnewline
92 & 0.797680528866292 & 0.404638942267417 & 0.202319471133708 \tabularnewline
93 & 0.843629546150137 & 0.312740907699726 & 0.156370453849863 \tabularnewline
94 & 0.828806468808214 & 0.342387062383571 & 0.171193531191786 \tabularnewline
95 & 0.805718910468348 & 0.388562179063304 & 0.194281089531652 \tabularnewline
96 & 0.910225704719897 & 0.179548590560206 & 0.0897742952801031 \tabularnewline
97 & 0.906239749896977 & 0.187520500206046 & 0.0937602501030232 \tabularnewline
98 & 0.966588439540524 & 0.066823120918953 & 0.0334115604594765 \tabularnewline
99 & 0.960361767962325 & 0.0792764640753504 & 0.0396382320376752 \tabularnewline
100 & 0.985933824678957 & 0.0281323506420852 & 0.0140661753210426 \tabularnewline
101 & 0.985043884044762 & 0.0299122319104769 & 0.0149561159552385 \tabularnewline
102 & 0.981690065125642 & 0.0366198697487164 & 0.0183099348743582 \tabularnewline
103 & 0.985813511783742 & 0.0283729764325162 & 0.0141864882162581 \tabularnewline
104 & 0.98260214252453 & 0.0347957149509401 & 0.0173978574754701 \tabularnewline
105 & 0.980731926820178 & 0.0385361463596442 & 0.0192680731798221 \tabularnewline
106 & 0.9946501884451 & 0.0106996231097995 & 0.00534981155489976 \tabularnewline
107 & 0.99365354486613 & 0.0126929102677407 & 0.00634645513387036 \tabularnewline
108 & 0.991952348621412 & 0.0160953027571752 & 0.00804765137858761 \tabularnewline
109 & 0.996535110697832 & 0.00692977860433538 & 0.00346488930216769 \tabularnewline
110 & 0.995614593371844 & 0.00877081325631209 & 0.00438540662815605 \tabularnewline
111 & 0.996873181972318 & 0.00625363605536335 & 0.00312681802768168 \tabularnewline
112 & 0.996822296962959 & 0.00635540607408171 & 0.00317770303704086 \tabularnewline
113 & 0.996309071572512 & 0.0073818568549764 & 0.0036909284274882 \tabularnewline
114 & 0.997434546423175 & 0.00513090715364939 & 0.00256545357682469 \tabularnewline
115 & 0.997289703504186 & 0.00542059299162842 & 0.00271029649581421 \tabularnewline
116 & 0.997811178277244 & 0.00437764344551257 & 0.00218882172275629 \tabularnewline
117 & 0.99986269952636 & 0.000274600947280691 & 0.000137300473640345 \tabularnewline
118 & 0.999858612406093 & 0.000282775187814152 & 0.000141387593907076 \tabularnewline
119 & 0.999847620793604 & 0.000304758412791626 & 0.000152379206395813 \tabularnewline
120 & 0.999800777918489 & 0.000398444163022294 & 0.000199222081511147 \tabularnewline
121 & 0.999736009114768 & 0.000527981770463273 & 0.000263990885231636 \tabularnewline
122 & 0.9996445857401 & 0.000710828519799768 & 0.000355414259899884 \tabularnewline
123 & 0.999557458747577 & 0.00088508250484518 & 0.00044254125242259 \tabularnewline
124 & 0.999705384624889 & 0.000589230750222337 & 0.000294615375111169 \tabularnewline
125 & 0.999765561132258 & 0.000468877735483468 & 0.000234438867741734 \tabularnewline
126 & 0.999690160498026 & 0.000619679003947235 & 0.000309839501973618 \tabularnewline
127 & 0.999581754661066 & 0.000836490677867548 & 0.000418245338933774 \tabularnewline
128 & 0.999515004763625 & 0.000969990472750286 & 0.000484995236375143 \tabularnewline
129 & 0.999838449356599 & 0.00032310128680278 & 0.00016155064340139 \tabularnewline
130 & 0.999806636301758 & 0.000386727396483684 & 0.000193363698241842 \tabularnewline
131 & 0.999753834147048 & 0.000492331705904128 & 0.000246165852952064 \tabularnewline
132 & 0.999934699036943 & 0.000130601926114127 & 6.53009630570634e-05 \tabularnewline
133 & 0.999915775463618 & 0.000168449072763122 & 8.42245363815611e-05 \tabularnewline
134 & 0.999894043067289 & 0.000211913865421039 & 0.000105956932710519 \tabularnewline
135 & 0.999869298169984 & 0.000261403660031335 & 0.000130701830015667 \tabularnewline
136 & 0.99985653639794 & 0.000286927204120147 & 0.000143463602060073 \tabularnewline
137 & 0.999804680479366 & 0.00039063904126824 & 0.00019531952063412 \tabularnewline
138 & 0.999730916368665 & 0.000538167262669534 & 0.000269083631334767 \tabularnewline
139 & 0.999636284167275 & 0.000727431665450899 & 0.00036371583272545 \tabularnewline
140 & 0.999554374528496 & 0.000891250943008297 & 0.000445625471504149 \tabularnewline
141 & 0.999424492532735 & 0.00115101493453031 & 0.000575507467265153 \tabularnewline
142 & 0.999329594375312 & 0.00134081124937674 & 0.00067040562468837 \tabularnewline
143 & 0.999589589534686 & 0.000820820930627872 & 0.000410410465313936 \tabularnewline
144 & 0.999472715218635 & 0.00105456956272985 & 0.000527284781364923 \tabularnewline
145 & 0.999405512633159 & 0.00118897473368117 & 0.000594487366840587 \tabularnewline
146 & 0.999222075545582 & 0.00155584890883598 & 0.000777924454417992 \tabularnewline
147 & 0.999458944219975 & 0.00108211156005069 & 0.000541055780025343 \tabularnewline
148 & 0.999428216512597 & 0.00114356697480525 & 0.000571783487402626 \tabularnewline
149 & 0.999245342311312 & 0.00150931537737533 & 0.000754657688687665 \tabularnewline
150 & 0.999371783017556 & 0.00125643396488849 & 0.000628216982444243 \tabularnewline
151 & 0.999258300978026 & 0.00148339804394705 & 0.000741699021973525 \tabularnewline
152 & 0.999730293625229 & 0.000539412749541763 & 0.000269706374770882 \tabularnewline
153 & 0.999674771278719 & 0.000650457442562484 & 0.000325228721281242 \tabularnewline
154 & 0.999584110669815 & 0.000831778660369322 & 0.000415889330184661 \tabularnewline
155 & 0.999834693869944 & 0.00033061226011144 & 0.00016530613005572 \tabularnewline
156 & 0.999802650446071 & 0.000394699107858905 & 0.000197349553929452 \tabularnewline
157 & 0.999750436501446 & 0.000499126997108642 & 0.000249563498554321 \tabularnewline
158 & 0.999672313739346 & 0.000655372521308382 & 0.000327686260654191 \tabularnewline
159 & 0.999615508300528 & 0.000768983398944376 & 0.000384491699472188 \tabularnewline
160 & 0.999646573201433 & 0.00070685359713314 & 0.00035342679856657 \tabularnewline
161 & 0.99978216913723 & 0.000435661725540786 & 0.000217830862770393 \tabularnewline
162 & 0.999895954748447 & 0.000208090503105194 & 0.000104045251552597 \tabularnewline
163 & 0.99985859092377 & 0.000282818152458912 & 0.000141409076229456 \tabularnewline
164 & 0.999815364831402 & 0.000369270337196644 & 0.000184635168598322 \tabularnewline
165 & 0.999765658218078 & 0.000468683563844292 & 0.000234341781922146 \tabularnewline
166 & 0.999725689069996 & 0.000548621860008653 & 0.000274310930004327 \tabularnewline
167 & 0.999632501651467 & 0.000734996697065747 & 0.000367498348532874 \tabularnewline
168 & 0.999773176291168 & 0.000453647417663604 & 0.000226823708831802 \tabularnewline
169 & 0.99973384526601 & 0.0005323094679807 & 0.00026615473399035 \tabularnewline
170 & 0.999849929810271 & 0.00030014037945805 & 0.000150070189729025 \tabularnewline
171 & 0.999833043489065 & 0.000333913021869989 & 0.000166956510934994 \tabularnewline
172 & 0.999955693744413 & 8.86125111740109e-05 & 4.43062555870055e-05 \tabularnewline
173 & 0.999962858791988 & 7.42824160235081e-05 & 3.7141208011754e-05 \tabularnewline
174 & 0.999978694561845 & 4.26108763096869e-05 & 2.13054381548435e-05 \tabularnewline
175 & 0.99999999826007 & 3.47985917149987e-09 & 1.73992958574993e-09 \tabularnewline
176 & 0.999999998808304 & 2.38339125489997e-09 & 1.19169562744999e-09 \tabularnewline
177 & 0.999999998615 & 2.76999927600789e-09 & 1.38499963800394e-09 \tabularnewline
178 & 0.999999997916254 & 4.16749216669141e-09 & 2.0837460833457e-09 \tabularnewline
179 & 0.999999999999699 & 6.02569446896049e-13 & 3.01284723448025e-13 \tabularnewline
180 & 0.999999999999502 & 9.9554796010906e-13 & 4.9777398005453e-13 \tabularnewline
181 & 0.999999999999127 & 1.7451384202252e-12 & 8.72569210112599e-13 \tabularnewline
182 & 0.999999999999753 & 4.94221982769063e-13 & 2.47110991384531e-13 \tabularnewline
183 & 0.999999999999509 & 9.81422662630329e-13 & 4.90711331315165e-13 \tabularnewline
184 & 0.999999999999289 & 1.4212400658958e-12 & 7.10620032947898e-13 \tabularnewline
185 & 0.999999999999926 & 1.48029494931602e-13 & 7.4014747465801e-14 \tabularnewline
186 & 0.999999999999853 & 2.94361781725753e-13 & 1.47180890862877e-13 \tabularnewline
187 & 0.999999999999734 & 5.32781718288118e-13 & 2.66390859144059e-13 \tabularnewline
188 & 0.999999999999588 & 8.24207837477666e-13 & 4.12103918738833e-13 \tabularnewline
189 & 0.999999999999204 & 1.59184602052417e-12 & 7.95923010262083e-13 \tabularnewline
190 & 0.999999999998871 & 2.25770547486604e-12 & 1.12885273743302e-12 \tabularnewline
191 & 0.999999999998282 & 3.43559723486405e-12 & 1.71779861743203e-12 \tabularnewline
192 & 0.999999999999006 & 1.98793827329024e-12 & 9.93969136645122e-13 \tabularnewline
193 & 0.999999999999139 & 1.72238420302569e-12 & 8.61192101512843e-13 \tabularnewline
194 & 0.999999999998969 & 2.06101244531898e-12 & 1.03050622265949e-12 \tabularnewline
195 & 0.999999999998945 & 2.11107768480379e-12 & 1.0555388424019e-12 \tabularnewline
196 & 0.999999999999602 & 7.95840123920204e-13 & 3.97920061960102e-13 \tabularnewline
197 & 0.999999999999684 & 6.31507095132962e-13 & 3.15753547566481e-13 \tabularnewline
198 & 0.99999999999938 & 1.23997400614425e-12 & 6.19987003072123e-13 \tabularnewline
199 & 0.999999999998723 & 2.55330868392864e-12 & 1.27665434196432e-12 \tabularnewline
200 & 0.999999999998015 & 3.96985495992367e-12 & 1.98492747996184e-12 \tabularnewline
201 & 0.99999999999594 & 8.11938008498709e-12 & 4.05969004249355e-12 \tabularnewline
202 & 0.999999999991883 & 1.62337363385677e-11 & 8.11686816928385e-12 \tabularnewline
203 & 0.999999999984033 & 3.19333510430159e-11 & 1.5966675521508e-11 \tabularnewline
204 & 0.999999999978178 & 4.36448225836505e-11 & 2.18224112918253e-11 \tabularnewline
205 & 0.999999999960477 & 7.90467628731319e-11 & 3.95233814365659e-11 \tabularnewline
206 & 0.99999999993976 & 1.20480618510624e-10 & 6.02403092553121e-11 \tabularnewline
207 & 0.999999999891803 & 2.16394318977598e-10 & 1.08197159488799e-10 \tabularnewline
208 & 0.999999999908253 & 1.83493206393645e-10 & 9.17466031968227e-11 \tabularnewline
209 & 0.999999999835301 & 3.29397348928307e-10 & 1.64698674464154e-10 \tabularnewline
210 & 0.999999999731832 & 5.36335242696971e-10 & 2.68167621348485e-10 \tabularnewline
211 & 0.999999999479623 & 1.0407537929131e-09 & 5.2037689645655e-10 \tabularnewline
212 & 0.999999999067977 & 1.86404505193995e-09 & 9.32022525969977e-10 \tabularnewline
213 & 0.999999998194427 & 3.61114541493836e-09 & 1.80557270746918e-09 \tabularnewline
214 & 0.99999999709349 & 5.81301918126872e-09 & 2.90650959063436e-09 \tabularnewline
215 & 0.999999999191862 & 1.61627516030412e-09 & 8.0813758015206e-10 \tabularnewline
216 & 0.999999999530846 & 9.38308406909772e-10 & 4.69154203454886e-10 \tabularnewline
217 & 0.999999999063143 & 1.87371401615085e-09 & 9.36857008075425e-10 \tabularnewline
218 & 0.999999998794934 & 2.41013110595539e-09 & 1.20506555297769e-09 \tabularnewline
219 & 0.99999999773247 & 4.53506018439028e-09 & 2.26753009219514e-09 \tabularnewline
220 & 0.999999997294083 & 5.41183505806836e-09 & 2.70591752903418e-09 \tabularnewline
221 & 0.999999994708576 & 1.05828488188645e-08 & 5.29142440943226e-09 \tabularnewline
222 & 0.999999994102226 & 1.17955481403663e-08 & 5.89777407018314e-09 \tabularnewline
223 & 0.999999995224269 & 9.55146233926182e-09 & 4.77573116963091e-09 \tabularnewline
224 & 0.999999990547137 & 1.89057255050676e-08 & 9.4528627525338e-09 \tabularnewline
225 & 0.999999988648632 & 2.27027358025073e-08 & 1.13513679012536e-08 \tabularnewline
226 & 0.999999981640398 & 3.6719204706294e-08 & 1.8359602353147e-08 \tabularnewline
227 & 0.999999968284501 & 6.34309981542261e-08 & 3.1715499077113e-08 \tabularnewline
228 & 0.999999946626467 & 1.06747066709942e-07 & 5.3373533354971e-08 \tabularnewline
229 & 0.999999945823196 & 1.08353607898242e-07 & 5.41768039491209e-08 \tabularnewline
230 & 0.999999901167078 & 1.97665843637854e-07 & 9.8832921818927e-08 \tabularnewline
231 & 0.999999962902751 & 7.41944981716535e-08 & 3.70972490858268e-08 \tabularnewline
232 & 0.999999960567041 & 7.886591873974e-08 & 3.943295936987e-08 \tabularnewline
233 & 0.999999921214079 & 1.57571841175801e-07 & 7.87859205879007e-08 \tabularnewline
234 & 0.999999859098605 & 2.81802789288444e-07 & 1.40901394644222e-07 \tabularnewline
235 & 0.999999721411225 & 5.57177549347781e-07 & 2.7858877467389e-07 \tabularnewline
236 & 0.999999749104418 & 5.01791164123895e-07 & 2.50895582061947e-07 \tabularnewline
237 & 0.999999704114238 & 5.91771524372889e-07 & 2.95885762186444e-07 \tabularnewline
238 & 0.999999439510808 & 1.12097838326775e-06 & 5.60489191633873e-07 \tabularnewline
239 & 0.999999008484241 & 1.98303151721866e-06 & 9.91515758609328e-07 \tabularnewline
240 & 0.99999816913562 & 3.66172876073176e-06 & 1.83086438036588e-06 \tabularnewline
241 & 0.999997014272626 & 5.9714547489018e-06 & 2.9857273744509e-06 \tabularnewline
242 & 0.999995836796182 & 8.32640763545165e-06 & 4.16320381772583e-06 \tabularnewline
243 & 0.999994757161525 & 1.04856769508786e-05 & 5.24283847543929e-06 \tabularnewline
244 & 0.999990079964836 & 1.98400703287501e-05 & 9.92003516437503e-06 \tabularnewline
245 & 0.999981405095216 & 3.71898095678461e-05 & 1.85949047839231e-05 \tabularnewline
246 & 0.999965859633266 & 6.82807334688429e-05 & 3.41403667344215e-05 \tabularnewline
247 & 0.999984812221717 & 3.0375556566525e-05 & 1.51877782832625e-05 \tabularnewline
248 & 0.999985776621605 & 2.84467567891319e-05 & 1.42233783945659e-05 \tabularnewline
249 & 0.999972891822732 & 5.4216354536091e-05 & 2.71081772680455e-05 \tabularnewline
250 & 0.99995685450807 & 8.62909838600612e-05 & 4.31454919300306e-05 \tabularnewline
251 & 0.999954384323172 & 9.12313536558112e-05 & 4.56156768279056e-05 \tabularnewline
252 & 0.999931054638834 & 0.00013789072233217 & 6.89453611660852e-05 \tabularnewline
253 & 0.999885230479062 & 0.000229539041876989 & 0.000114769520938495 \tabularnewline
254 & 0.99994626603387 & 0.000107467932260465 & 5.37339661302324e-05 \tabularnewline
255 & 0.999917288590372 & 0.000165422819255263 & 8.27114096276313e-05 \tabularnewline
256 & 0.999840566526496 & 0.000318866947008012 & 0.000159433473504006 \tabularnewline
257 & 0.999847141293864 & 0.000305717412272954 & 0.000152858706136477 \tabularnewline
258 & 0.999705851569292 & 0.000588296861416606 & 0.000294148430708303 \tabularnewline
259 & 0.999580856545973 & 0.000838286908054413 & 0.000419143454027206 \tabularnewline
260 & 0.999236900668558 & 0.00152619866288401 & 0.000763099331442003 \tabularnewline
261 & 0.998987075581218 & 0.00202584883756362 & 0.00101292441878181 \tabularnewline
262 & 0.999119219038085 & 0.00176156192383002 & 0.000880780961915008 \tabularnewline
263 & 0.998504490319214 & 0.00299101936157125 & 0.00149550968078562 \tabularnewline
264 & 0.998949375111632 & 0.00210124977673576 & 0.00105062488836788 \tabularnewline
265 & 0.997963988615882 & 0.00407202276823633 & 0.00203601138411816 \tabularnewline
266 & 0.997872241148663 & 0.00425551770267334 & 0.00212775885133667 \tabularnewline
267 & 0.998082427782846 & 0.00383514443430828 & 0.00191757221715414 \tabularnewline
268 & 0.998058330719026 & 0.00388333856194815 & 0.00194166928097407 \tabularnewline
269 & 0.996066241759838 & 0.00786751648032474 & 0.00393375824016237 \tabularnewline
270 & 0.996716017696414 & 0.00656796460717167 & 0.00328398230358583 \tabularnewline
271 & 0.997214343428778 & 0.00557131314244336 & 0.00278565657122168 \tabularnewline
272 & 0.993934641480469 & 0.0121307170390614 & 0.00606535851953071 \tabularnewline
273 & 0.987194560430343 & 0.0256108791393148 & 0.0128054395696574 \tabularnewline
274 & 0.987506352698932 & 0.0249872946021358 & 0.0124936473010679 \tabularnewline
275 & 0.986177485751846 & 0.0276450284963081 & 0.013822514248154 \tabularnewline
276 & 0.981746859014066 & 0.0365062819718688 & 0.0182531409859344 \tabularnewline
277 & 0.992719583684947 & 0.0145608326301071 & 0.00728041631505354 \tabularnewline
278 & 0.981110098209948 & 0.0377798035801044 & 0.0188899017900522 \tabularnewline
279 & 0.96143163616426 & 0.0771367276714802 & 0.0385683638357401 \tabularnewline
280 & 0.938409069556855 & 0.12318186088629 & 0.061590930443145 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=186320&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]9[/C][C]0.773986273480739[/C][C]0.452027453038522[/C][C]0.226013726519261[/C][/ROW]
[ROW][C]10[/C][C]0.738727052208517[/C][C]0.522545895582967[/C][C]0.261272947791483[/C][/ROW]
[ROW][C]11[/C][C]0.639497964313866[/C][C]0.721004071372269[/C][C]0.360502035686134[/C][/ROW]
[ROW][C]12[/C][C]0.714590243899732[/C][C]0.570819512200537[/C][C]0.285409756100268[/C][/ROW]
[ROW][C]13[/C][C]0.618462972875589[/C][C]0.763074054248822[/C][C]0.381537027124411[/C][/ROW]
[ROW][C]14[/C][C]0.518697928977882[/C][C]0.962604142044237[/C][C]0.481302071022118[/C][/ROW]
[ROW][C]15[/C][C]0.41629915632807[/C][C]0.832598312656139[/C][C]0.58370084367193[/C][/ROW]
[ROW][C]16[/C][C]0.334589642850833[/C][C]0.669179285701667[/C][C]0.665410357149167[/C][/ROW]
[ROW][C]17[/C][C]0.257812051343632[/C][C]0.515624102687264[/C][C]0.742187948656368[/C][/ROW]
[ROW][C]18[/C][C]0.25565324365939[/C][C]0.511306487318781[/C][C]0.74434675634061[/C][/ROW]
[ROW][C]19[/C][C]0.193638115679064[/C][C]0.387276231358128[/C][C]0.806361884320936[/C][/ROW]
[ROW][C]20[/C][C]0.354908262495329[/C][C]0.709816524990659[/C][C]0.645091737504671[/C][/ROW]
[ROW][C]21[/C][C]0.439545495194797[/C][C]0.879090990389594[/C][C]0.560454504805203[/C][/ROW]
[ROW][C]22[/C][C]0.36974856037335[/C][C]0.7394971207467[/C][C]0.63025143962665[/C][/ROW]
[ROW][C]23[/C][C]0.567305299776341[/C][C]0.865389400447317[/C][C]0.432694700223659[/C][/ROW]
[ROW][C]24[/C][C]0.497372945470755[/C][C]0.99474589094151[/C][C]0.502627054529245[/C][/ROW]
[ROW][C]25[/C][C]0.431478937700524[/C][C]0.862957875401048[/C][C]0.568521062299476[/C][/ROW]
[ROW][C]26[/C][C]0.46632968029307[/C][C]0.932659360586139[/C][C]0.53367031970693[/C][/ROW]
[ROW][C]27[/C][C]0.46680409124713[/C][C]0.933608182494259[/C][C]0.53319590875287[/C][/ROW]
[ROW][C]28[/C][C]0.404414963967998[/C][C]0.808829927935996[/C][C]0.595585036032002[/C][/ROW]
[ROW][C]29[/C][C]0.375392115993334[/C][C]0.750784231986669[/C][C]0.624607884006666[/C][/ROW]
[ROW][C]30[/C][C]0.338994550896595[/C][C]0.67798910179319[/C][C]0.661005449103405[/C][/ROW]
[ROW][C]31[/C][C]0.304955282397033[/C][C]0.609910564794067[/C][C]0.695044717602967[/C][/ROW]
[ROW][C]32[/C][C]0.255368990736702[/C][C]0.510737981473404[/C][C]0.744631009263298[/C][/ROW]
[ROW][C]33[/C][C]0.470089772518606[/C][C]0.940179545037212[/C][C]0.529910227481394[/C][/ROW]
[ROW][C]34[/C][C]0.415728340633643[/C][C]0.831456681267286[/C][C]0.584271659366357[/C][/ROW]
[ROW][C]35[/C][C]0.390831776702578[/C][C]0.781663553405156[/C][C]0.609168223297422[/C][/ROW]
[ROW][C]36[/C][C]0.34254508920852[/C][C]0.685090178417041[/C][C]0.65745491079148[/C][/ROW]
[ROW][C]37[/C][C]0.29549057532857[/C][C]0.590981150657139[/C][C]0.70450942467143[/C][/ROW]
[ROW][C]38[/C][C]0.281170855203259[/C][C]0.562341710406518[/C][C]0.718829144796741[/C][/ROW]
[ROW][C]39[/C][C]0.391603665173899[/C][C]0.783207330347798[/C][C]0.608396334826101[/C][/ROW]
[ROW][C]40[/C][C]0.351125099840515[/C][C]0.70225019968103[/C][C]0.648874900159485[/C][/ROW]
[ROW][C]41[/C][C]0.304428481847452[/C][C]0.608856963694905[/C][C]0.695571518152548[/C][/ROW]
[ROW][C]42[/C][C]0.264853929547977[/C][C]0.529707859095953[/C][C]0.735146070452023[/C][/ROW]
[ROW][C]43[/C][C]0.228407625183355[/C][C]0.456815250366711[/C][C]0.771592374816645[/C][/ROW]
[ROW][C]44[/C][C]0.195490519839756[/C][C]0.390981039679511[/C][C]0.804509480160244[/C][/ROW]
[ROW][C]45[/C][C]0.175260607907743[/C][C]0.350521215815485[/C][C]0.824739392092257[/C][/ROW]
[ROW][C]46[/C][C]0.148967497744055[/C][C]0.29793499548811[/C][C]0.851032502255945[/C][/ROW]
[ROW][C]47[/C][C]0.147803393476837[/C][C]0.295606786953674[/C][C]0.852196606523163[/C][/ROW]
[ROW][C]48[/C][C]0.121261139847405[/C][C]0.242522279694809[/C][C]0.878738860152595[/C][/ROW]
[ROW][C]49[/C][C]0.102536939669601[/C][C]0.205073879339202[/C][C]0.897463060330399[/C][/ROW]
[ROW][C]50[/C][C]0.0900731510730369[/C][C]0.180146302146074[/C][C]0.909926848926963[/C][/ROW]
[ROW][C]51[/C][C]0.289290320376708[/C][C]0.578580640753415[/C][C]0.710709679623292[/C][/ROW]
[ROW][C]52[/C][C]0.28620323240514[/C][C]0.572406464810281[/C][C]0.71379676759486[/C][/ROW]
[ROW][C]53[/C][C]0.248289207315845[/C][C]0.496578414631691[/C][C]0.751710792684155[/C][/ROW]
[ROW][C]54[/C][C]0.21975403391253[/C][C]0.439508067825059[/C][C]0.78024596608747[/C][/ROW]
[ROW][C]55[/C][C]0.195442659591374[/C][C]0.390885319182748[/C][C]0.804557340408626[/C][/ROW]
[ROW][C]56[/C][C]0.168350410405745[/C][C]0.33670082081149[/C][C]0.831649589594255[/C][/ROW]
[ROW][C]57[/C][C]0.144230921087941[/C][C]0.288461842175881[/C][C]0.855769078912059[/C][/ROW]
[ROW][C]58[/C][C]0.179671411738187[/C][C]0.359342823476375[/C][C]0.820328588261813[/C][/ROW]
[ROW][C]59[/C][C]0.155977861820342[/C][C]0.311955723640684[/C][C]0.844022138179658[/C][/ROW]
[ROW][C]60[/C][C]0.130934570031897[/C][C]0.261869140063795[/C][C]0.869065429968103[/C][/ROW]
[ROW][C]61[/C][C]0.111574302821322[/C][C]0.223148605642643[/C][C]0.888425697178678[/C][/ROW]
[ROW][C]62[/C][C]0.0928395505734139[/C][C]0.185679101146828[/C][C]0.907160449426586[/C][/ROW]
[ROW][C]63[/C][C]0.0786637266289423[/C][C]0.157327453257885[/C][C]0.921336273371058[/C][/ROW]
[ROW][C]64[/C][C]0.0665497833258749[/C][C]0.13309956665175[/C][C]0.933450216674125[/C][/ROW]
[ROW][C]65[/C][C]0.0592328416929364[/C][C]0.118465683385873[/C][C]0.940767158307064[/C][/ROW]
[ROW][C]66[/C][C]0.0695996590027518[/C][C]0.139199318005504[/C][C]0.930400340997248[/C][/ROW]
[ROW][C]67[/C][C]0.0611014298213661[/C][C]0.122202859642732[/C][C]0.938898570178634[/C][/ROW]
[ROW][C]68[/C][C]0.0653179848091571[/C][C]0.130635969618314[/C][C]0.934682015190843[/C][/ROW]
[ROW][C]69[/C][C]0.129815726604074[/C][C]0.259631453208148[/C][C]0.870184273395926[/C][/ROW]
[ROW][C]70[/C][C]0.115054078525515[/C][C]0.23010815705103[/C][C]0.884945921474485[/C][/ROW]
[ROW][C]71[/C][C]0.130058711093316[/C][C]0.260117422186632[/C][C]0.869941288906684[/C][/ROW]
[ROW][C]72[/C][C]0.17390016747574[/C][C]0.34780033495148[/C][C]0.82609983252426[/C][/ROW]
[ROW][C]73[/C][C]0.168234892208425[/C][C]0.336469784416849[/C][C]0.831765107791575[/C][/ROW]
[ROW][C]74[/C][C]0.146088442110129[/C][C]0.292176884220258[/C][C]0.853911557889871[/C][/ROW]
[ROW][C]75[/C][C]0.124763647902348[/C][C]0.249527295804697[/C][C]0.875236352097652[/C][/ROW]
[ROW][C]76[/C][C]0.232362471307818[/C][C]0.464724942615635[/C][C]0.767637528692182[/C][/ROW]
[ROW][C]77[/C][C]0.712919073216579[/C][C]0.574161853566843[/C][C]0.287080926783421[/C][/ROW]
[ROW][C]78[/C][C]0.683970277206072[/C][C]0.632059445587857[/C][C]0.316029722793928[/C][/ROW]
[ROW][C]79[/C][C]0.668766829929643[/C][C]0.662466340140713[/C][C]0.331233170070357[/C][/ROW]
[ROW][C]80[/C][C]0.687337771996866[/C][C]0.625324456006267[/C][C]0.312662228003134[/C][/ROW]
[ROW][C]81[/C][C]0.658394011456129[/C][C]0.683211977087741[/C][C]0.341605988543871[/C][/ROW]
[ROW][C]82[/C][C]0.709844387247554[/C][C]0.580311225504892[/C][C]0.290155612752446[/C][/ROW]
[ROW][C]83[/C][C]0.713189415954303[/C][C]0.573621168091394[/C][C]0.286810584045697[/C][/ROW]
[ROW][C]84[/C][C]0.680502720005011[/C][C]0.638994559989978[/C][C]0.319497279994989[/C][/ROW]
[ROW][C]85[/C][C]0.6486087581464[/C][C]0.702782483707199[/C][C]0.3513912418536[/C][/ROW]
[ROW][C]86[/C][C]0.716181372865137[/C][C]0.567637254269727[/C][C]0.283818627134863[/C][/ROW]
[ROW][C]87[/C][C]0.689971271252094[/C][C]0.620057457495812[/C][C]0.310028728747906[/C][/ROW]
[ROW][C]88[/C][C]0.657047584884745[/C][C]0.685904830230509[/C][C]0.342952415115255[/C][/ROW]
[ROW][C]89[/C][C]0.62631742053856[/C][C]0.747365158922879[/C][C]0.37368257946144[/C][/ROW]
[ROW][C]90[/C][C]0.698808363022403[/C][C]0.602383273955193[/C][C]0.301191636977597[/C][/ROW]
[ROW][C]91[/C][C]0.787835853648373[/C][C]0.424328292703255[/C][C]0.212164146351627[/C][/ROW]
[ROW][C]92[/C][C]0.797680528866292[/C][C]0.404638942267417[/C][C]0.202319471133708[/C][/ROW]
[ROW][C]93[/C][C]0.843629546150137[/C][C]0.312740907699726[/C][C]0.156370453849863[/C][/ROW]
[ROW][C]94[/C][C]0.828806468808214[/C][C]0.342387062383571[/C][C]0.171193531191786[/C][/ROW]
[ROW][C]95[/C][C]0.805718910468348[/C][C]0.388562179063304[/C][C]0.194281089531652[/C][/ROW]
[ROW][C]96[/C][C]0.910225704719897[/C][C]0.179548590560206[/C][C]0.0897742952801031[/C][/ROW]
[ROW][C]97[/C][C]0.906239749896977[/C][C]0.187520500206046[/C][C]0.0937602501030232[/C][/ROW]
[ROW][C]98[/C][C]0.966588439540524[/C][C]0.066823120918953[/C][C]0.0334115604594765[/C][/ROW]
[ROW][C]99[/C][C]0.960361767962325[/C][C]0.0792764640753504[/C][C]0.0396382320376752[/C][/ROW]
[ROW][C]100[/C][C]0.985933824678957[/C][C]0.0281323506420852[/C][C]0.0140661753210426[/C][/ROW]
[ROW][C]101[/C][C]0.985043884044762[/C][C]0.0299122319104769[/C][C]0.0149561159552385[/C][/ROW]
[ROW][C]102[/C][C]0.981690065125642[/C][C]0.0366198697487164[/C][C]0.0183099348743582[/C][/ROW]
[ROW][C]103[/C][C]0.985813511783742[/C][C]0.0283729764325162[/C][C]0.0141864882162581[/C][/ROW]
[ROW][C]104[/C][C]0.98260214252453[/C][C]0.0347957149509401[/C][C]0.0173978574754701[/C][/ROW]
[ROW][C]105[/C][C]0.980731926820178[/C][C]0.0385361463596442[/C][C]0.0192680731798221[/C][/ROW]
[ROW][C]106[/C][C]0.9946501884451[/C][C]0.0106996231097995[/C][C]0.00534981155489976[/C][/ROW]
[ROW][C]107[/C][C]0.99365354486613[/C][C]0.0126929102677407[/C][C]0.00634645513387036[/C][/ROW]
[ROW][C]108[/C][C]0.991952348621412[/C][C]0.0160953027571752[/C][C]0.00804765137858761[/C][/ROW]
[ROW][C]109[/C][C]0.996535110697832[/C][C]0.00692977860433538[/C][C]0.00346488930216769[/C][/ROW]
[ROW][C]110[/C][C]0.995614593371844[/C][C]0.00877081325631209[/C][C]0.00438540662815605[/C][/ROW]
[ROW][C]111[/C][C]0.996873181972318[/C][C]0.00625363605536335[/C][C]0.00312681802768168[/C][/ROW]
[ROW][C]112[/C][C]0.996822296962959[/C][C]0.00635540607408171[/C][C]0.00317770303704086[/C][/ROW]
[ROW][C]113[/C][C]0.996309071572512[/C][C]0.0073818568549764[/C][C]0.0036909284274882[/C][/ROW]
[ROW][C]114[/C][C]0.997434546423175[/C][C]0.00513090715364939[/C][C]0.00256545357682469[/C][/ROW]
[ROW][C]115[/C][C]0.997289703504186[/C][C]0.00542059299162842[/C][C]0.00271029649581421[/C][/ROW]
[ROW][C]116[/C][C]0.997811178277244[/C][C]0.00437764344551257[/C][C]0.00218882172275629[/C][/ROW]
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[ROW][C]120[/C][C]0.999800777918489[/C][C]0.000398444163022294[/C][C]0.000199222081511147[/C][/ROW]
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[ROW][C]126[/C][C]0.999690160498026[/C][C]0.000619679003947235[/C][C]0.000309839501973618[/C][/ROW]
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[ROW][C]196[/C][C]0.999999999999602[/C][C]7.95840123920204e-13[/C][C]3.97920061960102e-13[/C][/ROW]
[ROW][C]197[/C][C]0.999999999999684[/C][C]6.31507095132962e-13[/C][C]3.15753547566481e-13[/C][/ROW]
[ROW][C]198[/C][C]0.99999999999938[/C][C]1.23997400614425e-12[/C][C]6.19987003072123e-13[/C][/ROW]
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[ROW][C]205[/C][C]0.999999999960477[/C][C]7.90467628731319e-11[/C][C]3.95233814365659e-11[/C][/ROW]
[ROW][C]206[/C][C]0.99999999993976[/C][C]1.20480618510624e-10[/C][C]6.02403092553121e-11[/C][/ROW]
[ROW][C]207[/C][C]0.999999999891803[/C][C]2.16394318977598e-10[/C][C]1.08197159488799e-10[/C][/ROW]
[ROW][C]208[/C][C]0.999999999908253[/C][C]1.83493206393645e-10[/C][C]9.17466031968227e-11[/C][/ROW]
[ROW][C]209[/C][C]0.999999999835301[/C][C]3.29397348928307e-10[/C][C]1.64698674464154e-10[/C][/ROW]
[ROW][C]210[/C][C]0.999999999731832[/C][C]5.36335242696971e-10[/C][C]2.68167621348485e-10[/C][/ROW]
[ROW][C]211[/C][C]0.999999999479623[/C][C]1.0407537929131e-09[/C][C]5.2037689645655e-10[/C][/ROW]
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[ROW][C]218[/C][C]0.999999998794934[/C][C]2.41013110595539e-09[/C][C]1.20506555297769e-09[/C][/ROW]
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[ROW][C]220[/C][C]0.999999997294083[/C][C]5.41183505806836e-09[/C][C]2.70591752903418e-09[/C][/ROW]
[ROW][C]221[/C][C]0.999999994708576[/C][C]1.05828488188645e-08[/C][C]5.29142440943226e-09[/C][/ROW]
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[ROW][C]226[/C][C]0.999999981640398[/C][C]3.6719204706294e-08[/C][C]1.8359602353147e-08[/C][/ROW]
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[ROW][C]240[/C][C]0.99999816913562[/C][C]3.66172876073176e-06[/C][C]1.83086438036588e-06[/C][/ROW]
[ROW][C]241[/C][C]0.999997014272626[/C][C]5.9714547489018e-06[/C][C]2.9857273744509e-06[/C][/ROW]
[ROW][C]242[/C][C]0.999995836796182[/C][C]8.32640763545165e-06[/C][C]4.16320381772583e-06[/C][/ROW]
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[ROW][C]248[/C][C]0.999985776621605[/C][C]2.84467567891319e-05[/C][C]1.42233783945659e-05[/C][/ROW]
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[ROW][C]250[/C][C]0.99995685450807[/C][C]8.62909838600612e-05[/C][C]4.31454919300306e-05[/C][/ROW]
[ROW][C]251[/C][C]0.999954384323172[/C][C]9.12313536558112e-05[/C][C]4.56156768279056e-05[/C][/ROW]
[ROW][C]252[/C][C]0.999931054638834[/C][C]0.00013789072233217[/C][C]6.89453611660852e-05[/C][/ROW]
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[ROW][C]254[/C][C]0.99994626603387[/C][C]0.000107467932260465[/C][C]5.37339661302324e-05[/C][/ROW]
[ROW][C]255[/C][C]0.999917288590372[/C][C]0.000165422819255263[/C][C]8.27114096276313e-05[/C][/ROW]
[ROW][C]256[/C][C]0.999840566526496[/C][C]0.000318866947008012[/C][C]0.000159433473504006[/C][/ROW]
[ROW][C]257[/C][C]0.999847141293864[/C][C]0.000305717412272954[/C][C]0.000152858706136477[/C][/ROW]
[ROW][C]258[/C][C]0.999705851569292[/C][C]0.000588296861416606[/C][C]0.000294148430708303[/C][/ROW]
[ROW][C]259[/C][C]0.999580856545973[/C][C]0.000838286908054413[/C][C]0.000419143454027206[/C][/ROW]
[ROW][C]260[/C][C]0.999236900668558[/C][C]0.00152619866288401[/C][C]0.000763099331442003[/C][/ROW]
[ROW][C]261[/C][C]0.998987075581218[/C][C]0.00202584883756362[/C][C]0.00101292441878181[/C][/ROW]
[ROW][C]262[/C][C]0.999119219038085[/C][C]0.00176156192383002[/C][C]0.000880780961915008[/C][/ROW]
[ROW][C]263[/C][C]0.998504490319214[/C][C]0.00299101936157125[/C][C]0.00149550968078562[/C][/ROW]
[ROW][C]264[/C][C]0.998949375111632[/C][C]0.00210124977673576[/C][C]0.00105062488836788[/C][/ROW]
[ROW][C]265[/C][C]0.997963988615882[/C][C]0.00407202276823633[/C][C]0.00203601138411816[/C][/ROW]
[ROW][C]266[/C][C]0.997872241148663[/C][C]0.00425551770267334[/C][C]0.00212775885133667[/C][/ROW]
[ROW][C]267[/C][C]0.998082427782846[/C][C]0.00383514443430828[/C][C]0.00191757221715414[/C][/ROW]
[ROW][C]268[/C][C]0.998058330719026[/C][C]0.00388333856194815[/C][C]0.00194166928097407[/C][/ROW]
[ROW][C]269[/C][C]0.996066241759838[/C][C]0.00786751648032474[/C][C]0.00393375824016237[/C][/ROW]
[ROW][C]270[/C][C]0.996716017696414[/C][C]0.00656796460717167[/C][C]0.00328398230358583[/C][/ROW]
[ROW][C]271[/C][C]0.997214343428778[/C][C]0.00557131314244336[/C][C]0.00278565657122168[/C][/ROW]
[ROW][C]272[/C][C]0.993934641480469[/C][C]0.0121307170390614[/C][C]0.00606535851953071[/C][/ROW]
[ROW][C]273[/C][C]0.987194560430343[/C][C]0.0256108791393148[/C][C]0.0128054395696574[/C][/ROW]
[ROW][C]274[/C][C]0.987506352698932[/C][C]0.0249872946021358[/C][C]0.0124936473010679[/C][/ROW]
[ROW][C]275[/C][C]0.986177485751846[/C][C]0.0276450284963081[/C][C]0.013822514248154[/C][/ROW]
[ROW][C]276[/C][C]0.981746859014066[/C][C]0.0365062819718688[/C][C]0.0182531409859344[/C][/ROW]
[ROW][C]277[/C][C]0.992719583684947[/C][C]0.0145608326301071[/C][C]0.00728041631505354[/C][/ROW]
[ROW][C]278[/C][C]0.981110098209948[/C][C]0.0377798035801044[/C][C]0.0188899017900522[/C][/ROW]
[ROW][C]279[/C][C]0.96143163616426[/C][C]0.0771367276714802[/C][C]0.0385683638357401[/C][/ROW]
[ROW][C]280[/C][C]0.938409069556855[/C][C]0.12318186088629[/C][C]0.061590930443145[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=186320&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=186320&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
90.7739862734807390.4520274530385220.226013726519261
100.7387270522085170.5225458955829670.261272947791483
110.6394979643138660.7210040713722690.360502035686134
120.7145902438997320.5708195122005370.285409756100268
130.6184629728755890.7630740542488220.381537027124411
140.5186979289778820.9626041420442370.481302071022118
150.416299156328070.8325983126561390.58370084367193
160.3345896428508330.6691792857016670.665410357149167
170.2578120513436320.5156241026872640.742187948656368
180.255653243659390.5113064873187810.74434675634061
190.1936381156790640.3872762313581280.806361884320936
200.3549082624953290.7098165249906590.645091737504671
210.4395454951947970.8790909903895940.560454504805203
220.369748560373350.73949712074670.63025143962665
230.5673052997763410.8653894004473170.432694700223659
240.4973729454707550.994745890941510.502627054529245
250.4314789377005240.8629578754010480.568521062299476
260.466329680293070.9326593605861390.53367031970693
270.466804091247130.9336081824942590.53319590875287
280.4044149639679980.8088299279359960.595585036032002
290.3753921159933340.7507842319866690.624607884006666
300.3389945508965950.677989101793190.661005449103405
310.3049552823970330.6099105647940670.695044717602967
320.2553689907367020.5107379814734040.744631009263298
330.4700897725186060.9401795450372120.529910227481394
340.4157283406336430.8314566812672860.584271659366357
350.3908317767025780.7816635534051560.609168223297422
360.342545089208520.6850901784170410.65745491079148
370.295490575328570.5909811506571390.70450942467143
380.2811708552032590.5623417104065180.718829144796741
390.3916036651738990.7832073303477980.608396334826101
400.3511250998405150.702250199681030.648874900159485
410.3044284818474520.6088569636949050.695571518152548
420.2648539295479770.5297078590959530.735146070452023
430.2284076251833550.4568152503667110.771592374816645
440.1954905198397560.3909810396795110.804509480160244
450.1752606079077430.3505212158154850.824739392092257
460.1489674977440550.297934995488110.851032502255945
470.1478033934768370.2956067869536740.852196606523163
480.1212611398474050.2425222796948090.878738860152595
490.1025369396696010.2050738793392020.897463060330399
500.09007315107303690.1801463021460740.909926848926963
510.2892903203767080.5785806407534150.710709679623292
520.286203232405140.5724064648102810.71379676759486
530.2482892073158450.4965784146316910.751710792684155
540.219754033912530.4395080678250590.78024596608747
550.1954426595913740.3908853191827480.804557340408626
560.1683504104057450.336700820811490.831649589594255
570.1442309210879410.2884618421758810.855769078912059
580.1796714117381870.3593428234763750.820328588261813
590.1559778618203420.3119557236406840.844022138179658
600.1309345700318970.2618691400637950.869065429968103
610.1115743028213220.2231486056426430.888425697178678
620.09283955057341390.1856791011468280.907160449426586
630.07866372662894230.1573274532578850.921336273371058
640.06654978332587490.133099566651750.933450216674125
650.05923284169293640.1184656833858730.940767158307064
660.06959965900275180.1391993180055040.930400340997248
670.06110142982136610.1222028596427320.938898570178634
680.06531798480915710.1306359696183140.934682015190843
690.1298157266040740.2596314532081480.870184273395926
700.1150540785255150.230108157051030.884945921474485
710.1300587110933160.2601174221866320.869941288906684
720.173900167475740.347800334951480.82609983252426
730.1682348922084250.3364697844168490.831765107791575
740.1460884421101290.2921768842202580.853911557889871
750.1247636479023480.2495272958046970.875236352097652
760.2323624713078180.4647249426156350.767637528692182
770.7129190732165790.5741618535668430.287080926783421
780.6839702772060720.6320594455878570.316029722793928
790.6687668299296430.6624663401407130.331233170070357
800.6873377719968660.6253244560062670.312662228003134
810.6583940114561290.6832119770877410.341605988543871
820.7098443872475540.5803112255048920.290155612752446
830.7131894159543030.5736211680913940.286810584045697
840.6805027200050110.6389945599899780.319497279994989
850.64860875814640.7027824837071990.3513912418536
860.7161813728651370.5676372542697270.283818627134863
870.6899712712520940.6200574574958120.310028728747906
880.6570475848847450.6859048302305090.342952415115255
890.626317420538560.7473651589228790.37368257946144
900.6988083630224030.6023832739551930.301191636977597
910.7878358536483730.4243282927032550.212164146351627
920.7976805288662920.4046389422674170.202319471133708
930.8436295461501370.3127409076997260.156370453849863
940.8288064688082140.3423870623835710.171193531191786
950.8057189104683480.3885621790633040.194281089531652
960.9102257047198970.1795485905602060.0897742952801031
970.9062397498969770.1875205002060460.0937602501030232
980.9665884395405240.0668231209189530.0334115604594765
990.9603617679623250.07927646407535040.0396382320376752
1000.9859338246789570.02813235064208520.0140661753210426
1010.9850438840447620.02991223191047690.0149561159552385
1020.9816900651256420.03661986974871640.0183099348743582
1030.9858135117837420.02837297643251620.0141864882162581
1040.982602142524530.03479571495094010.0173978574754701
1050.9807319268201780.03853614635964420.0192680731798221
1060.99465018844510.01069962310979950.00534981155489976
1070.993653544866130.01269291026774070.00634645513387036
1080.9919523486214120.01609530275717520.00804765137858761
1090.9965351106978320.006929778604335380.00346488930216769
1100.9956145933718440.008770813256312090.00438540662815605
1110.9968731819723180.006253636055363350.00312681802768168
1120.9968222969629590.006355406074081710.00317770303704086
1130.9963090715725120.00738185685497640.0036909284274882
1140.9974345464231750.005130907153649390.00256545357682469
1150.9972897035041860.005420592991628420.00271029649581421
1160.9978111782772440.004377643445512570.00218882172275629
1170.999862699526360.0002746009472806910.000137300473640345
1180.9998586124060930.0002827751878141520.000141387593907076
1190.9998476207936040.0003047584127916260.000152379206395813
1200.9998007779184890.0003984441630222940.000199222081511147
1210.9997360091147680.0005279817704632730.000263990885231636
1220.99964458574010.0007108285197997680.000355414259899884
1230.9995574587475770.000885082504845180.00044254125242259
1240.9997053846248890.0005892307502223370.000294615375111169
1250.9997655611322580.0004688777354834680.000234438867741734
1260.9996901604980260.0006196790039472350.000309839501973618
1270.9995817546610660.0008364906778675480.000418245338933774
1280.9995150047636250.0009699904727502860.000484995236375143
1290.9998384493565990.000323101286802780.00016155064340139
1300.9998066363017580.0003867273964836840.000193363698241842
1310.9997538341470480.0004923317059041280.000246165852952064
1320.9999346990369430.0001306019261141276.53009630570634e-05
1330.9999157754636180.0001684490727631228.42245363815611e-05
1340.9998940430672890.0002119138654210390.000105956932710519
1350.9998692981699840.0002614036600313350.000130701830015667
1360.999856536397940.0002869272041201470.000143463602060073
1370.9998046804793660.000390639041268240.00019531952063412
1380.9997309163686650.0005381672626695340.000269083631334767
1390.9996362841672750.0007274316654508990.00036371583272545
1400.9995543745284960.0008912509430082970.000445625471504149
1410.9994244925327350.001151014934530310.000575507467265153
1420.9993295943753120.001340811249376740.00067040562468837
1430.9995895895346860.0008208209306278720.000410410465313936
1440.9994727152186350.001054569562729850.000527284781364923
1450.9994055126331590.001188974733681170.000594487366840587
1460.9992220755455820.001555848908835980.000777924454417992
1470.9994589442199750.001082111560050690.000541055780025343
1480.9994282165125970.001143566974805250.000571783487402626
1490.9992453423113120.001509315377375330.000754657688687665
1500.9993717830175560.001256433964888490.000628216982444243
1510.9992583009780260.001483398043947050.000741699021973525
1520.9997302936252290.0005394127495417630.000269706374770882
1530.9996747712787190.0006504574425624840.000325228721281242
1540.9995841106698150.0008317786603693220.000415889330184661
1550.9998346938699440.000330612260111440.00016530613005572
1560.9998026504460710.0003946991078589050.000197349553929452
1570.9997504365014460.0004991269971086420.000249563498554321
1580.9996723137393460.0006553725213083820.000327686260654191
1590.9996155083005280.0007689833989443760.000384491699472188
1600.9996465732014330.000706853597133140.00035342679856657
1610.999782169137230.0004356617255407860.000217830862770393
1620.9998959547484470.0002080905031051940.000104045251552597
1630.999858590923770.0002828181524589120.000141409076229456
1640.9998153648314020.0003692703371966440.000184635168598322
1650.9997656582180780.0004686835638442920.000234341781922146
1660.9997256890699960.0005486218600086530.000274310930004327
1670.9996325016514670.0007349966970657470.000367498348532874
1680.9997731762911680.0004536474176636040.000226823708831802
1690.999733845266010.00053230946798070.00026615473399035
1700.9998499298102710.000300140379458050.000150070189729025
1710.9998330434890650.0003339130218699890.000166956510934994
1720.9999556937444138.86125111740109e-054.43062555870055e-05
1730.9999628587919887.42824160235081e-053.7141208011754e-05
1740.9999786945618454.26108763096869e-052.13054381548435e-05
1750.999999998260073.47985917149987e-091.73992958574993e-09
1760.9999999988083042.38339125489997e-091.19169562744999e-09
1770.9999999986152.76999927600789e-091.38499963800394e-09
1780.9999999979162544.16749216669141e-092.0837460833457e-09
1790.9999999999996996.02569446896049e-133.01284723448025e-13
1800.9999999999995029.9554796010906e-134.9777398005453e-13
1810.9999999999991271.7451384202252e-128.72569210112599e-13
1820.9999999999997534.94221982769063e-132.47110991384531e-13
1830.9999999999995099.81422662630329e-134.90711331315165e-13
1840.9999999999992891.4212400658958e-127.10620032947898e-13
1850.9999999999999261.48029494931602e-137.4014747465801e-14
1860.9999999999998532.94361781725753e-131.47180890862877e-13
1870.9999999999997345.32781718288118e-132.66390859144059e-13
1880.9999999999995888.24207837477666e-134.12103918738833e-13
1890.9999999999992041.59184602052417e-127.95923010262083e-13
1900.9999999999988712.25770547486604e-121.12885273743302e-12
1910.9999999999982823.43559723486405e-121.71779861743203e-12
1920.9999999999990061.98793827329024e-129.93969136645122e-13
1930.9999999999991391.72238420302569e-128.61192101512843e-13
1940.9999999999989692.06101244531898e-121.03050622265949e-12
1950.9999999999989452.11107768480379e-121.0555388424019e-12
1960.9999999999996027.95840123920204e-133.97920061960102e-13
1970.9999999999996846.31507095132962e-133.15753547566481e-13
1980.999999999999381.23997400614425e-126.19987003072123e-13
1990.9999999999987232.55330868392864e-121.27665434196432e-12
2000.9999999999980153.96985495992367e-121.98492747996184e-12
2010.999999999995948.11938008498709e-124.05969004249355e-12
2020.9999999999918831.62337363385677e-118.11686816928385e-12
2030.9999999999840333.19333510430159e-111.5966675521508e-11
2040.9999999999781784.36448225836505e-112.18224112918253e-11
2050.9999999999604777.90467628731319e-113.95233814365659e-11
2060.999999999939761.20480618510624e-106.02403092553121e-11
2070.9999999998918032.16394318977598e-101.08197159488799e-10
2080.9999999999082531.83493206393645e-109.17466031968227e-11
2090.9999999998353013.29397348928307e-101.64698674464154e-10
2100.9999999997318325.36335242696971e-102.68167621348485e-10
2110.9999999994796231.0407537929131e-095.2037689645655e-10
2120.9999999990679771.86404505193995e-099.32022525969977e-10
2130.9999999981944273.61114541493836e-091.80557270746918e-09
2140.999999997093495.81301918126872e-092.90650959063436e-09
2150.9999999991918621.61627516030412e-098.0813758015206e-10
2160.9999999995308469.38308406909772e-104.69154203454886e-10
2170.9999999990631431.87371401615085e-099.36857008075425e-10
2180.9999999987949342.41013110595539e-091.20506555297769e-09
2190.999999997732474.53506018439028e-092.26753009219514e-09
2200.9999999972940835.41183505806836e-092.70591752903418e-09
2210.9999999947085761.05828488188645e-085.29142440943226e-09
2220.9999999941022261.17955481403663e-085.89777407018314e-09
2230.9999999952242699.55146233926182e-094.77573116963091e-09
2240.9999999905471371.89057255050676e-089.4528627525338e-09
2250.9999999886486322.27027358025073e-081.13513679012536e-08
2260.9999999816403983.6719204706294e-081.8359602353147e-08
2270.9999999682845016.34309981542261e-083.1715499077113e-08
2280.9999999466264671.06747066709942e-075.3373533354971e-08
2290.9999999458231961.08353607898242e-075.41768039491209e-08
2300.9999999011670781.97665843637854e-079.8832921818927e-08
2310.9999999629027517.41944981716535e-083.70972490858268e-08
2320.9999999605670417.886591873974e-083.943295936987e-08
2330.9999999212140791.57571841175801e-077.87859205879007e-08
2340.9999998590986052.81802789288444e-071.40901394644222e-07
2350.9999997214112255.57177549347781e-072.7858877467389e-07
2360.9999997491044185.01791164123895e-072.50895582061947e-07
2370.9999997041142385.91771524372889e-072.95885762186444e-07
2380.9999994395108081.12097838326775e-065.60489191633873e-07
2390.9999990084842411.98303151721866e-069.91515758609328e-07
2400.999998169135623.66172876073176e-061.83086438036588e-06
2410.9999970142726265.9714547489018e-062.9857273744509e-06
2420.9999958367961828.32640763545165e-064.16320381772583e-06
2430.9999947571615251.04856769508786e-055.24283847543929e-06
2440.9999900799648361.98400703287501e-059.92003516437503e-06
2450.9999814050952163.71898095678461e-051.85949047839231e-05
2460.9999658596332666.82807334688429e-053.41403667344215e-05
2470.9999848122217173.0375556566525e-051.51877782832625e-05
2480.9999857766216052.84467567891319e-051.42233783945659e-05
2490.9999728918227325.4216354536091e-052.71081772680455e-05
2500.999956854508078.62909838600612e-054.31454919300306e-05
2510.9999543843231729.12313536558112e-054.56156768279056e-05
2520.9999310546388340.000137890722332176.89453611660852e-05
2530.9998852304790620.0002295390418769890.000114769520938495
2540.999946266033870.0001074679322604655.37339661302324e-05
2550.9999172885903720.0001654228192552638.27114096276313e-05
2560.9998405665264960.0003188669470080120.000159433473504006
2570.9998471412938640.0003057174122729540.000152858706136477
2580.9997058515692920.0005882968614166060.000294148430708303
2590.9995808565459730.0008382869080544130.000419143454027206
2600.9992369006685580.001526198662884010.000763099331442003
2610.9989870755812180.002025848837563620.00101292441878181
2620.9991192190380850.001761561923830020.000880780961915008
2630.9985044903192140.002991019361571250.00149550968078562
2640.9989493751116320.002101249776735760.00105062488836788
2650.9979639886158820.004072022768236330.00203601138411816
2660.9978722411486630.004255517702673340.00212775885133667
2670.9980824277828460.003835144434308280.00191757221715414
2680.9980583307190260.003883338561948150.00194166928097407
2690.9960662417598380.007867516480324740.00393375824016237
2700.9967160176964140.006567964607171670.00328398230358583
2710.9972143434287780.005571313142443360.00278565657122168
2720.9939346414804690.01213071703906140.00606535851953071
2730.9871945604303430.02561087913931480.0128054395696574
2740.9875063526989320.02498729460213580.0124936473010679
2750.9861774857518460.02764502849630810.013822514248154
2760.9817468590140660.03650628197186880.0182531409859344
2770.9927195836849470.01456083263010710.00728041631505354
2780.9811100982099480.03777980358010440.0188899017900522
2790.961431636164260.07713672767148020.0385683638357401
2800.9384090695568550.123181860886290.061590930443145







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1630.599264705882353NOK
5% type I error level1790.658088235294118NOK
10% type I error level1820.669117647058823NOK

\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 & 163 & 0.599264705882353 & NOK \tabularnewline
5% type I error level & 179 & 0.658088235294118 & NOK \tabularnewline
10% type I error level & 182 & 0.669117647058823 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=186320&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]163[/C][C]0.599264705882353[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]179[/C][C]0.658088235294118[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]182[/C][C]0.669117647058823[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=186320&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=186320&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 level1630.599264705882353NOK
5% type I error level1790.658088235294118NOK
10% type I error level1820.669117647058823NOK



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