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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationThu, 22 Dec 2011 12:11:12 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/22/t1324574013d00u87qt0exgsyo.htm/, Retrieved Fri, 03 May 2024 08:35:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=159748, Retrieved Fri, 03 May 2024 08:35:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact78

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2011-12-22 17:11:12] [e232377fd09030116200e3da7df6eeaf] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
94	1418	210907	30
103	869	120982	28
93	1530	176508	38
103	2172	179321	30
51	901	123185	22
70	463	52746	26
91	3201	385534	25
22	371	33170	18
38	1192	101645	11
93	1583	149061	26
60	1439	165446	25
123	1764	237213	38
148	1495	173326	44
90	1373	133131	30
124	2187	258873	40
70	1491	180083	34
168	4041	324799	47
115	1706	230964	30
71	2152	236785	31
66	1036	135473	23
134	1882	202925	36
117	1929	215147	36
108	2242	344297	30
84	1220	153935	25
156	1289	132943	39
120	2515	174724	34
114	2147	174415	31
94	2352	225548	31
120	1638	223632	33
81	1222	124817	25
110	1812	221698	33
133	1677	210767	35
122	1579	170266	42
158	1731	260561	43
109	807	84853	30
124	2452	294424	33
39	829	101011	13
92	1940	215641	32
126	2662	325107	36
0	186	7176	0
70	1499	167542	28
37	865	106408	14
38	1793	96560	17
120	2527	265769	32
93	2747	269651	30
95	1324	149112	35
77	2702	175824	20
90	1383	152871	28
80	1179	111665	28
31	2099	116408	39
110	4308	362301	34
66	918	78800	26
138	1831	183167	39
133	3373	277965	39
113	1713	150629	33
100	1438	168809	28
7	496	24188	4
140	2253	329267	39
61	744	65029	18
41	1161	101097	14
96	2352	218946	29
164	2144	244052	44
78	4691	341570	21
49	1112	103597	16
102	2694	233328	28
124	1973	256462	35
99	1769	206161	28
129	3148	311473	38
62	2474	235800	23
73	2084	177939	36
114	1954	207176	32
99	1226	196553	29
70	1389	174184	25
104	1496	143246	27
116	2269	187559	36
91	1833	187681	28
74	1268	119016	23
138	1943	182192	40
67	893	73566	23
151	1762	194979	40
72	1403	167488	28
120	1425	143756	34
115	1857	275541	33
105	1840	243199	28
104	1502	182999	34
108	1441	135649	30
98	1420	152299	33
69	1416	120221	22
111	2970	346485	38
99	1317	145790	26
71	1644	193339	35
27	870	80953	8
69	1654	122774	24
107	1054	130585	29
73	937	112611	20
107	3004	286468	29
93	2008	241066	45
129	2547	148446	37
69	1885	204713	33
118	1626	182079	33
73	1468	140344	25
119	2445	220516	32
104	1964	243060	29
107	1381	162765	28
99	1369	182613	28
90	1659	232138	31
197	2888	265318	52
36	1290	85574	21
85	2845	310839	24
139	1982	225060	41
106	1904	232317	33
50	1391	144966	32
64	602	43287	19
31	1743	155754	20
63	1559	164709	31
92	2014	201940	31
106	2143	235454	32
63	2146	220801	18
69	874	99466	23
41	1590	92661	17
56	1590	133328	20
25	1210	61361	12
65	2072	125930	17
93	1281	100750	30
114	1401	224549	31
38	834	82316	10
44	1105	102010	13
87	1272	101523	22
110	1944	243511	42
0	391	22938	1
27	761	41566	9
83	1605	152474	32
30	530	61857	11
80	1988	99923	25
98	1386	132487	36
82	2395	317394	31
0	387	21054	0
60	1742	209641	24
28	620	22648	13
9	449	31414	8
33	800	46698	13
59	1684	131698	19
49	1050	91735	18
115	2699	244749	33
140	1606	184510	40
49	1502	79863	22
120	1204	128423	38
66	1138	97839	24
21	568	38214	8
124	1459	151101	35
152	2158	272458	43
139	1111	172494	43
38	1421	108043	14
144	2833	328107	41
120	1955	250579	38
160	2922	351067	45
114	1002	158015	31
39	1060	98866	13
78	956	85439	28
119	2186	229242	31
141	3604	351619	40
101	1035	84207	30
56	1417	120445	16
133	3261	324598	37
83	1587	131069	30
116	1424	204271	35
90	1701	165543	32
36	1249	141722	27
50	946	116048	20
61	1926	250047	18
97	3352	299775	31
98	1641	195838	31
78	2035	173260	21
117	2312	254488	39
148	1369	104389	41
41	1577	136084	13
105	2201	199476	32
55	961	92499	18
132	1900	224330	39
44	1254	135781	14
21	1335	74408	7
50	1597	81240	17
0	207	14688	0
73	1645	181633	30
86	2429	271856	37
0	151	7199	0
13	474	46660	5
4	141	17547	1
57	1639	133368	16
48	872	95227	32
46	1318	152601	24
48	1018	98146	17
32	1383	79619	11
68	1314	59194	24
87	1335	139942	22
43	1403	118612	12
67	910	72880	19
46	616	65475	13
46	1407	99643	17
56	771	71965	15
48	766	77272	16
44	473	49289	24
60	1376	135131	15
65	1232	108446	17
55	1521	89746	18
38	572	44296	20
52	1059	77648	16
60	1544	181528	16
54	1230	134019	18
86	1206	124064	22
24	1205	92630	8
52	1255	121848	17
49	613	52915	18
61	721	81872	16
61	1109	58981	23
81	740	53515	22
43	1126	60812	13
40	728	56375	13
40	689	65490	16
56	592	80949	16
68	995	76302	20
79	1613	104011	22
47	2048	98104	17
57	705	67989	18
41	301	30989	17
29	1803	135458	12
3	799	73504	7
60	861	63123	17
30	1186	61254	14
79	1451	74914	23
47	628	31774	17
40	1161	81437	14
48	1463	87186	15
36	742	50090	17
42	979	65745	21
49	675	56653	18
57	1241	158399	18
12	676	46455	17
40	1049	73624	17
43	620	38395	16
33	1081	91899	15
77	1688	139526	21
43	736	52164	16
45	617	51567	14
47	812	70551	15
43	1051	84856	17
45	1656	102538	15
50	705	86678	15
35	945	85709	10
7	554	34662	6
71	1597	150580	22
67	982	99611	21
0	222	19349	1
62	1212	99373	18
54	1143	86230	17
4	435	30837	4
25	532	31706	10
40	882	89806	16
38	608	62088	16
19	459	40151	9
17	578	27634	16
67	826	76990	17
14	509	37460	7
30	717	54157	15
54	637	49862	14
35	857	84337	14
59	830	64175	18
24	652	59382	12
58	707	119308	16
42	954	76702	21
46	1461	103425	19
61	672	70344	16
3	778	43410	1
52	1141	104838	16
25	680	62215	10
40	1090	69304	19
32	616	53117	12
4	285	19764	2
49	1145	86680	14
63	733	84105	17
67	888	77945	19
32	849	89113	14
23	1182	91005	11
7	528	40248	4
54	642	64187	16
37	947	50857	20
35	819	56613	12
51	757	62792	15
39	894	72535	16

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'AstonUniversity' @ aston.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 8 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159748&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]8 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159748&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159748&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'AstonUniversity' @ aston.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Writing[t] = -6.40018715799821 -0.0015974440514165Pageviews[t] + 9.41363285584004e-05TimeRFC[t] + 2.8958963834307Reviews[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Writing[t] =  -6.40018715799821 -0.0015974440514165Pageviews[t] +  9.41363285584004e-05TimeRFC[t] +  2.8958963834307Reviews[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159748&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Writing[t] =  -6.40018715799821 -0.0015974440514165Pageviews[t] +  9.41363285584004e-05TimeRFC[t] +  2.8958963834307Reviews[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159748&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159748&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
Writing[t] = -6.40018715799821 -0.0015974440514165Pageviews[t] + 9.41363285584004e-05TimeRFC[t] + 2.8958963834307Reviews[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-6.400187157998212.293574-2.79050.0056180.002809
Pageviews-0.00159744405141650.002646-0.60370.5465230.273262
TimeRFC9.41363285584004e-052.7e-053.4760.0005880.000294
Reviews2.89589638343070.12696622.808400

\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) & -6.40018715799821 & 2.293574 & -2.7905 & 0.005618 & 0.002809 \tabularnewline
Pageviews & -0.0015974440514165 & 0.002646 & -0.6037 & 0.546523 & 0.273262 \tabularnewline
TimeRFC & 9.41363285584004e-05 & 2.7e-05 & 3.476 & 0.000588 & 0.000294 \tabularnewline
Reviews & 2.8958963834307 & 0.126966 & 22.8084 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159748&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]-6.40018715799821[/C][C]2.293574[/C][C]-2.7905[/C][C]0.005618[/C][C]0.002809[/C][/ROW]
[ROW][C]Pageviews[/C][C]-0.0015974440514165[/C][C]0.002646[/C][C]-0.6037[/C][C]0.546523[/C][C]0.273262[/C][/ROW]
[ROW][C]TimeRFC[/C][C]9.41363285584004e-05[/C][C]2.7e-05[/C][C]3.476[/C][C]0.000588[/C][C]0.000294[/C][/ROW]
[ROW][C]Reviews[/C][C]2.8958963834307[/C][C]0.126966[/C][C]22.8084[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159748&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159748&T=2

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


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-6.400187157998212.293574-2.79050.0056180.002809
Pageviews-0.00159744405141650.002646-0.60370.5465230.273262
TimeRFC9.41363285584004e-052.7e-053.4760.0005880.000294
Reviews2.89589638343070.12696622.808400






Multiple Linear Regression - Regression Statistics
Multiple R0.925033993245675
R-squared0.85568788866004
Adjusted R-squared0.85416881380383
F-TEST (value)563.29540651793
F-TEST (DF numerator)3
F-TEST (DF denominator)285
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation14.8797900821084
Sum Squared Residuals63101.3235729692

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.925033993245675 \tabularnewline
R-squared & 0.85568788866004 \tabularnewline
Adjusted R-squared & 0.85416881380383 \tabularnewline
F-TEST (value) & 563.29540651793 \tabularnewline
F-TEST (DF numerator) & 3 \tabularnewline
F-TEST (DF denominator) & 285 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 14.8797900821084 \tabularnewline
Sum Squared Residuals & 63101.3235729692 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159748&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.925033993245675[/C][/ROW]
[ROW][C]R-squared[/C][C]0.85568788866004[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.85416881380383[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]563.29540651793[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]3[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]285[/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]14.8797900821084[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]63101.3235729692[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159748&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159748&T=3

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


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

Multiple Linear Regression - Regression Statistics
Multiple R0.925033993245675
R-squared0.85568788866004
Adjusted R-squared0.85416881380383
F-TEST (value)563.29540651793
F-TEST (DF numerator)3
F-TEST (DF denominator)285
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation14.8797900821084
Sum Squared Residuals63101.3235729692






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
19498.0655393272808-4.06553932728083
210384.685533999032918.3144660009671
393117.815601094887-24.8156010948873
410393.8876764386679.11232356133294
55167.4664198206175-16.4664198206175
67073.1188170015356-3.1188170015356
79197.1765593136195-6.1765593136195
82248.255798018961-26.2557980189611
93833.11900686676974.88099313323034
109380.396420149051512.6035798509485
116079.2729794524541-19.2729794524541
12123123.156345011994-0.156345011993613
13148134.94734813979813.0526518602017
149090.8158772196364-0.815877219636408
15124130.311411821681-6.31141182168079
1670106.630853253766-36.6308532537661
17168153.82705683091114.1729431690894
1811599.493567782368715.5064322176313
1971102.224971687406-31.2249716874061
206671.3034084624326-5.30340846243263
21134113.94830741345520.0516925865454
22117115.0237617506791.97623824932118
23108109.306090295319-1.30609029531867
248478.53921642167865.46078357832141
25156116.99543234106339.0045676589373
26120104.49059396037115.5094060396289
2711496.361676095475817.6383239045242
2894100.847672953112-6.84767295311205
29120107.59967556716712.4003244328331
308175.79495991861225.20504008138775
31110107.1396606427892.86033935721147
32133112.11810414911920.8818958508807
33122128.733312907229-6.73331290722924
34158139.88643758202518.1135624179746
3510987.175316882595721.8246831174043
36124112.9634550806211.0365449193798
373939.4309893919892-0.430989391989223
3892103.469107678698-11.4691076786983
39126124.2040659492721.79593405072776
400-6.021789457826616.02178945782661
417088.0621317043197-18.0621317043196
423742.7774315547986-5.77743155479862
433849.0556380617331-11.0556380617331
44120107.25027389849212.7497261015077
4593101.472480667783-8.47248066778297
4695106.878026562001-11.8780265620011
477763.752872516140613.2471274838593
489086.86636113800373.13363886199633
498083.3132581699152-3.31325816991519
5031114.144958466702-83.1449584667022
51110119.28418687818-9.28418687818042
526674.8446078624017-8.84460786240166
53138120.85752063071217.1424793692879
54133127.3181975781075.6818024218929
55113100.60763286956212.3923671304382
5610088.278846519739511.7211534802605
5776.66803564139260.331964358607402
58140133.9367168433976.06328315660337
596150.659040679324810.3409593206752
604141.8046300746057-0.804630074605671
619694.4343921451081.56560785489191
62164140.5684929240523.4315070759496
637879.0741725945446-1.07417259454457
644947.91003842138251.08996157861751
6510292.34603857341999.65396142658014
66124115.9468202433768.0531797566239
679991.2662726830347.73372731696594
68129127.936046203581.06395379642001
696278.4506993517743-16.4506993517743
7073111.273533409708-38.2735334097083
71114102.64987944073211.3501205592684
729994.12511934159484.87488065840519
737080.1754148939683-10.1754148939682
7410482.883891414388321.1161085856117
75116111.8835977409284.11640225907194
769189.42439691198421.57560308801584
777469.38359988341844.61640011658159
78138123.4827203600414.5172796399603
796765.70414526972031.29585473027971
80151124.97557896662226.0244210333776
817288.2104029715135-16.2104029715135
82120103.31659415361916.6834058463814
83115112.1363579990452.86364200095526
8410594.639475492529510.3605245074705
85104106.887782903277-2.8877829032768
8610890.944286299450117.0557137005499
8798101.232891645319-3.23289164531936
886966.36471605629092.63528394370907
89111131.516292380219-20.5162923802188
909980.513420336013718.4865796639863
9171110.5302118687-39.5302118687002
922722.99782579050324.00217420949676
936972.0166471857248-3.0166471857248
9410788.189894396097918.8101056039021
957360.621721529728612.3782784702714
9610799.74913180050487.25086819949515
9793143.400550621398-50.4005506213984
98129110.6534504591618.3465495408397
9969105.424141686471-36.4241416864707
100118103.70719803519714.2928019648033
1017376.8636434554901-3.86364345549007
102119103.12131303445515.8786869655449
10310497.3242038639156.67579613608504
10410787.800940860863319.1990591391367
1059989.68852803870749.31147196129256
10690102.575060085944-12.5750600859435
107197164.54906878036532.4509312196349
1083660.4085562477758-24.4085562477758
1098587.8178399508233-2.81783995082334
110139130.3517525581078.64824744189333
111106107.99232946302-1.99232946301986
1125097.693019442061-47.693019442061
1136451.735062062539912.2649379374601
1143163.395505247282-32.395505247282
1156396.3872859927208-33.3872859927208
1169299.165238597884-7.16523859788411
117106105.0099496139880.990050386011682
1186363.083228291438-0.0832282914379979
1196968.17262761635980.827372383640224
1204149.0128816591214-8.01288165912144
1215661.528812882898-5.52881288289802
1222532.1939613976283-7.19396139762826
1236551.374735141148113.6252648588519
1249387.91461361731725.08538638268284
125114102.27280005377911.7271999462207
1263828.97543435904079.02456564095926
1274439.08413702602814.91586297397188
1288764.834586928309922.1654130716901
129110135.045261213722-25.0452612137223
1300-1.969592294198771.96959229419877
1312722.36009600260864.63990399739138
1328398.0579419698743-15.0579419698743
1333030.4310185881257-0.431018588125743
1348072.22788801209447.77211198790561
13598108.109864951961-10.1098649519606
13682109.425028091676-27.425028091676
1370-5.036451744427835.03645174442783
1386080.0534125620827-20.0534125620827
1392832.3880500839133-4.38805008391334
140919.006930155695-10.006930155695
1413334.3644888564879-1.3644888564879
1425958.3293145430840.67068545691603
1434952.684227590072-3.68422759007197
144115107.8926642787827.10733572121822
145140124.23926701496515.7607329850346
1464962.4281819199092-13.4281819199092
147120113.8098224969186.19017750308153
1486670.493638963652-4.49363896365201
1492119.45696134777351.54303865222645
150124106.84960877256317.1503912274374
151152140.3242688729311.6757311270702
152139132.5865488467516.41345115324904
1533842.043165559404-4.04316555940403
154144138.6927939193095.30720608069128
155120124.109459365685-4.10945936568464
156160152.2955770361567.70442296384367
15711496.646913745989917.3530862540101
1583938.86005739135420.139942608645755
1597881.2006688406084-3.20066884060845
160119101.46058826334217.5394117366581
161141136.7786015293014.22139847069899
16210186.75028757062414.249712429376
1635649.00882684925246.99117315074761
164133126.0951779546686.90482204533177
1658390.2799150831459-7.27991508314585
166116111.9107479038124.08925209618772
1679099.134855018868-9.13485501886807
1683683.1349963303652-47.1349963303652
1695060.9308910945211-10.9308910945211
1706166.1877770477686-5.1877770477686
17197106.2376861616-9.23768616159995
1729899.186665352199-1.18666535219911
1737867.472898535442410.5271014645576
174117126.803047131094-9.80304713109444
175148119.97146085815428.0285391418458
1764141.5377446930585-0.537744693058465
177105101.5304610301323.46953896986797
1785552.89832026566672.10167973433334
179132124.6222306836147.3777693163862
1804444.9210921975435-0.921092197543499
1812118.74299565274912.25700434725087
1825047.9265685422962.07343145770397
1830-5.348183682775655.34818368277565
1847394.9471726453907-21.9471726453907
18586122.45931316462-36.4593131646196
1860-5.963713780470185.96371378047018
1871311.71450736931881.28549263068116
1884-2.077720228602996.07772022860299
1895749.87071804379817.12928195620187
1904893.8398460585799-45.8398460585799
1914675.3611926589122-29.3611926589122
1924850.4429574186745-2.4429574186745
1933230.74044828012181.25955171987823
1946866.57459039346331.42540960653669
1958768.350571559955918.6494284400441
1964337.27505364200195.72494635799814
1976754.028825665732312.9711743342677
1984636.42601640328969.57398359671038
1994649.9624737665254-3.96247376652541
2005642.581150114525513.4188498854745
2014845.98461521387272.0153847861273
2024466.9856205063336-22.9856205063336
2036047.560911793138412.4390882068616
2046551.070708575822913.9292914241771
2055551.74459428435213.25540571564786
2063854.7738653230285-16.7738653230285
2075245.55195936634566.44804063365437
2086054.55608081205535.44391918794473
2095456.3771481775804-2.37714817758041
2108667.061945217738318.9380547822617
2112423.56191194185520.438088058144845
2125252.29558243798-0.295582437979997
2134949.7279383659039-0.727938365903875
2146146.489527307555114.5104726924449
2156163.98611900259-2.98611900259005
2168161.165130302231819.8348696977682
2174335.17236223699947.82763776300061
2184035.39046207964954.60953792035047
2194044.9985041827567-4.9985041827567
2205646.60870975892849.39129024107158
2216857.111073821119510.8889261788805
2227964.524069692230214.4759303077698
2234748.793636319916-1.79363631991605
2245750.99998452986296.00001547013711
2254145.2664113865436-4.26641138654363
2262938.2218966123301-9.22189661233007
227319.5141264232916-16.5141264232916
2286047.39681949964612.603180500354
2293038.0140202345679-8.01402023456791
2307964.939667259926614.0603327400734
2314744.81794419964882.18205580035122
2324039.95390985514750.0460901448524823
2334842.90856788793275.09143211206732
2343646.360036571663-10.360036571663
2354259.0387320887818-17.0387320887818
2364949.9807784308674-0.980778430867353
2375758.6546199832686-1.65461998326863
2381246.1232823247467-34.1232823247467
2394048.0850256041715-8.0850256041715
2404342.55810400001460.441895999985418
2413343.9624560320695-10.9624560320695
2427764.851616713694912.1483832863051
2434343.6689635979709-0.668963597970882
2444538.01106728507876.98893271492133
2454742.38254613983584.61745386016417
2464349.1391699584366-6.13916995843662
2474544.04544210203790.95455789796214
2485044.07160922399875.92839077600128
2493529.11752263213225.88247736786784
250713.3531605585925-6.35316055859253
2517168.9334634816892.06653651831097
2526762.22196065958644.77803934041364
2530-2.037479532705492.03747953270549
2546253.14445493127168.85554506872844
2555449.12154842114554.87845157885446
25647.39139217711381-3.39139217711381
2572524.69362287422790.306377125772125
2584046.9792164460594-6.97921644605938
2593844.8076453611658-6.80764536116576
2601922.7093212012263-3.70932120122627
2611741.6121956185571-24.6121956185571
2626748.75811850956518.2418814904351
2631416.5843353716434-2.58433537164339
2643040.991032354334-10.991032354334
2655437.818615963858316.1813840361417
2663540.7125281995975-5.71252819959749
2675950.44126806631418.55873193368592
2682432.8990393841016-8.8990393841016
2695850.03597912018727.9640208798128
2704260.1101199420816-18.1101199420816
2714656.0240281492182-10.0240281492182
2726145.482598470453315.5174015295467
2733-0.6606442238493823.66064422384938
2745247.98053572763244.01946427236761
2752527.3292064026065-2.32920640260648
2764053.4046542255525-13.4046542255525
2773232.3667832715342-0.366783271534206
27840.7968444518377113.20315554816229
2794940.47302573060198.52697426939812
2806349.576460784039713.4235392159603
2816754.540769939011812.4592300609882
2823241.1749028572037-9.17490285720375
2832332.1333707714224-9.13337077142244
28478.12874686839518-1.12874686839518
2855444.95092441706179.04907558293832
2863754.792452255419-17.792452255419
2873532.37160273373682.62839726626317
2885141.74000178937919.2599982106209
2893945.3342185869103-6.33421858691025

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 94 & 98.0655393272808 & -4.06553932728083 \tabularnewline
2 & 103 & 84.6855339990329 & 18.3144660009671 \tabularnewline
3 & 93 & 117.815601094887 & -24.8156010948873 \tabularnewline
4 & 103 & 93.887676438667 & 9.11232356133294 \tabularnewline
5 & 51 & 67.4664198206175 & -16.4664198206175 \tabularnewline
6 & 70 & 73.1188170015356 & -3.1188170015356 \tabularnewline
7 & 91 & 97.1765593136195 & -6.1765593136195 \tabularnewline
8 & 22 & 48.255798018961 & -26.2557980189611 \tabularnewline
9 & 38 & 33.1190068667697 & 4.88099313323034 \tabularnewline
10 & 93 & 80.3964201490515 & 12.6035798509485 \tabularnewline
11 & 60 & 79.2729794524541 & -19.2729794524541 \tabularnewline
12 & 123 & 123.156345011994 & -0.156345011993613 \tabularnewline
13 & 148 & 134.947348139798 & 13.0526518602017 \tabularnewline
14 & 90 & 90.8158772196364 & -0.815877219636408 \tabularnewline
15 & 124 & 130.311411821681 & -6.31141182168079 \tabularnewline
16 & 70 & 106.630853253766 & -36.6308532537661 \tabularnewline
17 & 168 & 153.827056830911 & 14.1729431690894 \tabularnewline
18 & 115 & 99.4935677823687 & 15.5064322176313 \tabularnewline
19 & 71 & 102.224971687406 & -31.2249716874061 \tabularnewline
20 & 66 & 71.3034084624326 & -5.30340846243263 \tabularnewline
21 & 134 & 113.948307413455 & 20.0516925865454 \tabularnewline
22 & 117 & 115.023761750679 & 1.97623824932118 \tabularnewline
23 & 108 & 109.306090295319 & -1.30609029531867 \tabularnewline
24 & 84 & 78.5392164216786 & 5.46078357832141 \tabularnewline
25 & 156 & 116.995432341063 & 39.0045676589373 \tabularnewline
26 & 120 & 104.490593960371 & 15.5094060396289 \tabularnewline
27 & 114 & 96.3616760954758 & 17.6383239045242 \tabularnewline
28 & 94 & 100.847672953112 & -6.84767295311205 \tabularnewline
29 & 120 & 107.599675567167 & 12.4003244328331 \tabularnewline
30 & 81 & 75.7949599186122 & 5.20504008138775 \tabularnewline
31 & 110 & 107.139660642789 & 2.86033935721147 \tabularnewline
32 & 133 & 112.118104149119 & 20.8818958508807 \tabularnewline
33 & 122 & 128.733312907229 & -6.73331290722924 \tabularnewline
34 & 158 & 139.886437582025 & 18.1135624179746 \tabularnewline
35 & 109 & 87.1753168825957 & 21.8246831174043 \tabularnewline
36 & 124 & 112.96345508062 & 11.0365449193798 \tabularnewline
37 & 39 & 39.4309893919892 & -0.430989391989223 \tabularnewline
38 & 92 & 103.469107678698 & -11.4691076786983 \tabularnewline
39 & 126 & 124.204065949272 & 1.79593405072776 \tabularnewline
40 & 0 & -6.02178945782661 & 6.02178945782661 \tabularnewline
41 & 70 & 88.0621317043197 & -18.0621317043196 \tabularnewline
42 & 37 & 42.7774315547986 & -5.77743155479862 \tabularnewline
43 & 38 & 49.0556380617331 & -11.0556380617331 \tabularnewline
44 & 120 & 107.250273898492 & 12.7497261015077 \tabularnewline
45 & 93 & 101.472480667783 & -8.47248066778297 \tabularnewline
46 & 95 & 106.878026562001 & -11.8780265620011 \tabularnewline
47 & 77 & 63.7528725161406 & 13.2471274838593 \tabularnewline
48 & 90 & 86.8663611380037 & 3.13363886199633 \tabularnewline
49 & 80 & 83.3132581699152 & -3.31325816991519 \tabularnewline
50 & 31 & 114.144958466702 & -83.1449584667022 \tabularnewline
51 & 110 & 119.28418687818 & -9.28418687818042 \tabularnewline
52 & 66 & 74.8446078624017 & -8.84460786240166 \tabularnewline
53 & 138 & 120.857520630712 & 17.1424793692879 \tabularnewline
54 & 133 & 127.318197578107 & 5.6818024218929 \tabularnewline
55 & 113 & 100.607632869562 & 12.3923671304382 \tabularnewline
56 & 100 & 88.2788465197395 & 11.7211534802605 \tabularnewline
57 & 7 & 6.6680356413926 & 0.331964358607402 \tabularnewline
58 & 140 & 133.936716843397 & 6.06328315660337 \tabularnewline
59 & 61 & 50.6590406793248 & 10.3409593206752 \tabularnewline
60 & 41 & 41.8046300746057 & -0.804630074605671 \tabularnewline
61 & 96 & 94.434392145108 & 1.56560785489191 \tabularnewline
62 & 164 & 140.56849292405 & 23.4315070759496 \tabularnewline
63 & 78 & 79.0741725945446 & -1.07417259454457 \tabularnewline
64 & 49 & 47.9100384213825 & 1.08996157861751 \tabularnewline
65 & 102 & 92.3460385734199 & 9.65396142658014 \tabularnewline
66 & 124 & 115.946820243376 & 8.0531797566239 \tabularnewline
67 & 99 & 91.266272683034 & 7.73372731696594 \tabularnewline
68 & 129 & 127.93604620358 & 1.06395379642001 \tabularnewline
69 & 62 & 78.4506993517743 & -16.4506993517743 \tabularnewline
70 & 73 & 111.273533409708 & -38.2735334097083 \tabularnewline
71 & 114 & 102.649879440732 & 11.3501205592684 \tabularnewline
72 & 99 & 94.1251193415948 & 4.87488065840519 \tabularnewline
73 & 70 & 80.1754148939683 & -10.1754148939682 \tabularnewline
74 & 104 & 82.8838914143883 & 21.1161085856117 \tabularnewline
75 & 116 & 111.883597740928 & 4.11640225907194 \tabularnewline
76 & 91 & 89.4243969119842 & 1.57560308801584 \tabularnewline
77 & 74 & 69.3835998834184 & 4.61640011658159 \tabularnewline
78 & 138 & 123.48272036004 & 14.5172796399603 \tabularnewline
79 & 67 & 65.7041452697203 & 1.29585473027971 \tabularnewline
80 & 151 & 124.975578966622 & 26.0244210333776 \tabularnewline
81 & 72 & 88.2104029715135 & -16.2104029715135 \tabularnewline
82 & 120 & 103.316594153619 & 16.6834058463814 \tabularnewline
83 & 115 & 112.136357999045 & 2.86364200095526 \tabularnewline
84 & 105 & 94.6394754925295 & 10.3605245074705 \tabularnewline
85 & 104 & 106.887782903277 & -2.8877829032768 \tabularnewline
86 & 108 & 90.9442862994501 & 17.0557137005499 \tabularnewline
87 & 98 & 101.232891645319 & -3.23289164531936 \tabularnewline
88 & 69 & 66.3647160562909 & 2.63528394370907 \tabularnewline
89 & 111 & 131.516292380219 & -20.5162923802188 \tabularnewline
90 & 99 & 80.5134203360137 & 18.4865796639863 \tabularnewline
91 & 71 & 110.5302118687 & -39.5302118687002 \tabularnewline
92 & 27 & 22.9978257905032 & 4.00217420949676 \tabularnewline
93 & 69 & 72.0166471857248 & -3.0166471857248 \tabularnewline
94 & 107 & 88.1898943960979 & 18.8101056039021 \tabularnewline
95 & 73 & 60.6217215297286 & 12.3782784702714 \tabularnewline
96 & 107 & 99.7491318005048 & 7.25086819949515 \tabularnewline
97 & 93 & 143.400550621398 & -50.4005506213984 \tabularnewline
98 & 129 & 110.65345045916 & 18.3465495408397 \tabularnewline
99 & 69 & 105.424141686471 & -36.4241416864707 \tabularnewline
100 & 118 & 103.707198035197 & 14.2928019648033 \tabularnewline
101 & 73 & 76.8636434554901 & -3.86364345549007 \tabularnewline
102 & 119 & 103.121313034455 & 15.8786869655449 \tabularnewline
103 & 104 & 97.324203863915 & 6.67579613608504 \tabularnewline
104 & 107 & 87.8009408608633 & 19.1990591391367 \tabularnewline
105 & 99 & 89.6885280387074 & 9.31147196129256 \tabularnewline
106 & 90 & 102.575060085944 & -12.5750600859435 \tabularnewline
107 & 197 & 164.549068780365 & 32.4509312196349 \tabularnewline
108 & 36 & 60.4085562477758 & -24.4085562477758 \tabularnewline
109 & 85 & 87.8178399508233 & -2.81783995082334 \tabularnewline
110 & 139 & 130.351752558107 & 8.64824744189333 \tabularnewline
111 & 106 & 107.99232946302 & -1.99232946301986 \tabularnewline
112 & 50 & 97.693019442061 & -47.693019442061 \tabularnewline
113 & 64 & 51.7350620625399 & 12.2649379374601 \tabularnewline
114 & 31 & 63.395505247282 & -32.395505247282 \tabularnewline
115 & 63 & 96.3872859927208 & -33.3872859927208 \tabularnewline
116 & 92 & 99.165238597884 & -7.16523859788411 \tabularnewline
117 & 106 & 105.009949613988 & 0.990050386011682 \tabularnewline
118 & 63 & 63.083228291438 & -0.0832282914379979 \tabularnewline
119 & 69 & 68.1726276163598 & 0.827372383640224 \tabularnewline
120 & 41 & 49.0128816591214 & -8.01288165912144 \tabularnewline
121 & 56 & 61.528812882898 & -5.52881288289802 \tabularnewline
122 & 25 & 32.1939613976283 & -7.19396139762826 \tabularnewline
123 & 65 & 51.3747351411481 & 13.6252648588519 \tabularnewline
124 & 93 & 87.9146136173172 & 5.08538638268284 \tabularnewline
125 & 114 & 102.272800053779 & 11.7271999462207 \tabularnewline
126 & 38 & 28.9754343590407 & 9.02456564095926 \tabularnewline
127 & 44 & 39.0841370260281 & 4.91586297397188 \tabularnewline
128 & 87 & 64.8345869283099 & 22.1654130716901 \tabularnewline
129 & 110 & 135.045261213722 & -25.0452612137223 \tabularnewline
130 & 0 & -1.96959229419877 & 1.96959229419877 \tabularnewline
131 & 27 & 22.3600960026086 & 4.63990399739138 \tabularnewline
132 & 83 & 98.0579419698743 & -15.0579419698743 \tabularnewline
133 & 30 & 30.4310185881257 & -0.431018588125743 \tabularnewline
134 & 80 & 72.2278880120944 & 7.77211198790561 \tabularnewline
135 & 98 & 108.109864951961 & -10.1098649519606 \tabularnewline
136 & 82 & 109.425028091676 & -27.425028091676 \tabularnewline
137 & 0 & -5.03645174442783 & 5.03645174442783 \tabularnewline
138 & 60 & 80.0534125620827 & -20.0534125620827 \tabularnewline
139 & 28 & 32.3880500839133 & -4.38805008391334 \tabularnewline
140 & 9 & 19.006930155695 & -10.006930155695 \tabularnewline
141 & 33 & 34.3644888564879 & -1.3644888564879 \tabularnewline
142 & 59 & 58.329314543084 & 0.67068545691603 \tabularnewline
143 & 49 & 52.684227590072 & -3.68422759007197 \tabularnewline
144 & 115 & 107.892664278782 & 7.10733572121822 \tabularnewline
145 & 140 & 124.239267014965 & 15.7607329850346 \tabularnewline
146 & 49 & 62.4281819199092 & -13.4281819199092 \tabularnewline
147 & 120 & 113.809822496918 & 6.19017750308153 \tabularnewline
148 & 66 & 70.493638963652 & -4.49363896365201 \tabularnewline
149 & 21 & 19.4569613477735 & 1.54303865222645 \tabularnewline
150 & 124 & 106.849608772563 & 17.1503912274374 \tabularnewline
151 & 152 & 140.32426887293 & 11.6757311270702 \tabularnewline
152 & 139 & 132.586548846751 & 6.41345115324904 \tabularnewline
153 & 38 & 42.043165559404 & -4.04316555940403 \tabularnewline
154 & 144 & 138.692793919309 & 5.30720608069128 \tabularnewline
155 & 120 & 124.109459365685 & -4.10945936568464 \tabularnewline
156 & 160 & 152.295577036156 & 7.70442296384367 \tabularnewline
157 & 114 & 96.6469137459899 & 17.3530862540101 \tabularnewline
158 & 39 & 38.8600573913542 & 0.139942608645755 \tabularnewline
159 & 78 & 81.2006688406084 & -3.20066884060845 \tabularnewline
160 & 119 & 101.460588263342 & 17.5394117366581 \tabularnewline
161 & 141 & 136.778601529301 & 4.22139847069899 \tabularnewline
162 & 101 & 86.750287570624 & 14.249712429376 \tabularnewline
163 & 56 & 49.0088268492524 & 6.99117315074761 \tabularnewline
164 & 133 & 126.095177954668 & 6.90482204533177 \tabularnewline
165 & 83 & 90.2799150831459 & -7.27991508314585 \tabularnewline
166 & 116 & 111.910747903812 & 4.08925209618772 \tabularnewline
167 & 90 & 99.134855018868 & -9.13485501886807 \tabularnewline
168 & 36 & 83.1349963303652 & -47.1349963303652 \tabularnewline
169 & 50 & 60.9308910945211 & -10.9308910945211 \tabularnewline
170 & 61 & 66.1877770477686 & -5.1877770477686 \tabularnewline
171 & 97 & 106.2376861616 & -9.23768616159995 \tabularnewline
172 & 98 & 99.186665352199 & -1.18666535219911 \tabularnewline
173 & 78 & 67.4728985354424 & 10.5271014645576 \tabularnewline
174 & 117 & 126.803047131094 & -9.80304713109444 \tabularnewline
175 & 148 & 119.971460858154 & 28.0285391418458 \tabularnewline
176 & 41 & 41.5377446930585 & -0.537744693058465 \tabularnewline
177 & 105 & 101.530461030132 & 3.46953896986797 \tabularnewline
178 & 55 & 52.8983202656667 & 2.10167973433334 \tabularnewline
179 & 132 & 124.622230683614 & 7.3777693163862 \tabularnewline
180 & 44 & 44.9210921975435 & -0.921092197543499 \tabularnewline
181 & 21 & 18.7429956527491 & 2.25700434725087 \tabularnewline
182 & 50 & 47.926568542296 & 2.07343145770397 \tabularnewline
183 & 0 & -5.34818368277565 & 5.34818368277565 \tabularnewline
184 & 73 & 94.9471726453907 & -21.9471726453907 \tabularnewline
185 & 86 & 122.45931316462 & -36.4593131646196 \tabularnewline
186 & 0 & -5.96371378047018 & 5.96371378047018 \tabularnewline
187 & 13 & 11.7145073693188 & 1.28549263068116 \tabularnewline
188 & 4 & -2.07772022860299 & 6.07772022860299 \tabularnewline
189 & 57 & 49.8707180437981 & 7.12928195620187 \tabularnewline
190 & 48 & 93.8398460585799 & -45.8398460585799 \tabularnewline
191 & 46 & 75.3611926589122 & -29.3611926589122 \tabularnewline
192 & 48 & 50.4429574186745 & -2.4429574186745 \tabularnewline
193 & 32 & 30.7404482801218 & 1.25955171987823 \tabularnewline
194 & 68 & 66.5745903934633 & 1.42540960653669 \tabularnewline
195 & 87 & 68.3505715599559 & 18.6494284400441 \tabularnewline
196 & 43 & 37.2750536420019 & 5.72494635799814 \tabularnewline
197 & 67 & 54.0288256657323 & 12.9711743342677 \tabularnewline
198 & 46 & 36.4260164032896 & 9.57398359671038 \tabularnewline
199 & 46 & 49.9624737665254 & -3.96247376652541 \tabularnewline
200 & 56 & 42.5811501145255 & 13.4188498854745 \tabularnewline
201 & 48 & 45.9846152138727 & 2.0153847861273 \tabularnewline
202 & 44 & 66.9856205063336 & -22.9856205063336 \tabularnewline
203 & 60 & 47.5609117931384 & 12.4390882068616 \tabularnewline
204 & 65 & 51.0707085758229 & 13.9292914241771 \tabularnewline
205 & 55 & 51.7445942843521 & 3.25540571564786 \tabularnewline
206 & 38 & 54.7738653230285 & -16.7738653230285 \tabularnewline
207 & 52 & 45.5519593663456 & 6.44804063365437 \tabularnewline
208 & 60 & 54.5560808120553 & 5.44391918794473 \tabularnewline
209 & 54 & 56.3771481775804 & -2.37714817758041 \tabularnewline
210 & 86 & 67.0619452177383 & 18.9380547822617 \tabularnewline
211 & 24 & 23.5619119418552 & 0.438088058144845 \tabularnewline
212 & 52 & 52.29558243798 & -0.295582437979997 \tabularnewline
213 & 49 & 49.7279383659039 & -0.727938365903875 \tabularnewline
214 & 61 & 46.4895273075551 & 14.5104726924449 \tabularnewline
215 & 61 & 63.98611900259 & -2.98611900259005 \tabularnewline
216 & 81 & 61.1651303022318 & 19.8348696977682 \tabularnewline
217 & 43 & 35.1723622369994 & 7.82763776300061 \tabularnewline
218 & 40 & 35.3904620796495 & 4.60953792035047 \tabularnewline
219 & 40 & 44.9985041827567 & -4.9985041827567 \tabularnewline
220 & 56 & 46.6087097589284 & 9.39129024107158 \tabularnewline
221 & 68 & 57.1110738211195 & 10.8889261788805 \tabularnewline
222 & 79 & 64.5240696922302 & 14.4759303077698 \tabularnewline
223 & 47 & 48.793636319916 & -1.79363631991605 \tabularnewline
224 & 57 & 50.9999845298629 & 6.00001547013711 \tabularnewline
225 & 41 & 45.2664113865436 & -4.26641138654363 \tabularnewline
226 & 29 & 38.2218966123301 & -9.22189661233007 \tabularnewline
227 & 3 & 19.5141264232916 & -16.5141264232916 \tabularnewline
228 & 60 & 47.396819499646 & 12.603180500354 \tabularnewline
229 & 30 & 38.0140202345679 & -8.01402023456791 \tabularnewline
230 & 79 & 64.9396672599266 & 14.0603327400734 \tabularnewline
231 & 47 & 44.8179441996488 & 2.18205580035122 \tabularnewline
232 & 40 & 39.9539098551475 & 0.0460901448524823 \tabularnewline
233 & 48 & 42.9085678879327 & 5.09143211206732 \tabularnewline
234 & 36 & 46.360036571663 & -10.360036571663 \tabularnewline
235 & 42 & 59.0387320887818 & -17.0387320887818 \tabularnewline
236 & 49 & 49.9807784308674 & -0.980778430867353 \tabularnewline
237 & 57 & 58.6546199832686 & -1.65461998326863 \tabularnewline
238 & 12 & 46.1232823247467 & -34.1232823247467 \tabularnewline
239 & 40 & 48.0850256041715 & -8.0850256041715 \tabularnewline
240 & 43 & 42.5581040000146 & 0.441895999985418 \tabularnewline
241 & 33 & 43.9624560320695 & -10.9624560320695 \tabularnewline
242 & 77 & 64.8516167136949 & 12.1483832863051 \tabularnewline
243 & 43 & 43.6689635979709 & -0.668963597970882 \tabularnewline
244 & 45 & 38.0110672850787 & 6.98893271492133 \tabularnewline
245 & 47 & 42.3825461398358 & 4.61745386016417 \tabularnewline
246 & 43 & 49.1391699584366 & -6.13916995843662 \tabularnewline
247 & 45 & 44.0454421020379 & 0.95455789796214 \tabularnewline
248 & 50 & 44.0716092239987 & 5.92839077600128 \tabularnewline
249 & 35 & 29.1175226321322 & 5.88247736786784 \tabularnewline
250 & 7 & 13.3531605585925 & -6.35316055859253 \tabularnewline
251 & 71 & 68.933463481689 & 2.06653651831097 \tabularnewline
252 & 67 & 62.2219606595864 & 4.77803934041364 \tabularnewline
253 & 0 & -2.03747953270549 & 2.03747953270549 \tabularnewline
254 & 62 & 53.1444549312716 & 8.85554506872844 \tabularnewline
255 & 54 & 49.1215484211455 & 4.87845157885446 \tabularnewline
256 & 4 & 7.39139217711381 & -3.39139217711381 \tabularnewline
257 & 25 & 24.6936228742279 & 0.306377125772125 \tabularnewline
258 & 40 & 46.9792164460594 & -6.97921644605938 \tabularnewline
259 & 38 & 44.8076453611658 & -6.80764536116576 \tabularnewline
260 & 19 & 22.7093212012263 & -3.70932120122627 \tabularnewline
261 & 17 & 41.6121956185571 & -24.6121956185571 \tabularnewline
262 & 67 & 48.758118509565 & 18.2418814904351 \tabularnewline
263 & 14 & 16.5843353716434 & -2.58433537164339 \tabularnewline
264 & 30 & 40.991032354334 & -10.991032354334 \tabularnewline
265 & 54 & 37.8186159638583 & 16.1813840361417 \tabularnewline
266 & 35 & 40.7125281995975 & -5.71252819959749 \tabularnewline
267 & 59 & 50.4412680663141 & 8.55873193368592 \tabularnewline
268 & 24 & 32.8990393841016 & -8.8990393841016 \tabularnewline
269 & 58 & 50.0359791201872 & 7.9640208798128 \tabularnewline
270 & 42 & 60.1101199420816 & -18.1101199420816 \tabularnewline
271 & 46 & 56.0240281492182 & -10.0240281492182 \tabularnewline
272 & 61 & 45.4825984704533 & 15.5174015295467 \tabularnewline
273 & 3 & -0.660644223849382 & 3.66064422384938 \tabularnewline
274 & 52 & 47.9805357276324 & 4.01946427236761 \tabularnewline
275 & 25 & 27.3292064026065 & -2.32920640260648 \tabularnewline
276 & 40 & 53.4046542255525 & -13.4046542255525 \tabularnewline
277 & 32 & 32.3667832715342 & -0.366783271534206 \tabularnewline
278 & 4 & 0.796844451837711 & 3.20315554816229 \tabularnewline
279 & 49 & 40.4730257306019 & 8.52697426939812 \tabularnewline
280 & 63 & 49.5764607840397 & 13.4235392159603 \tabularnewline
281 & 67 & 54.5407699390118 & 12.4592300609882 \tabularnewline
282 & 32 & 41.1749028572037 & -9.17490285720375 \tabularnewline
283 & 23 & 32.1333707714224 & -9.13337077142244 \tabularnewline
284 & 7 & 8.12874686839518 & -1.12874686839518 \tabularnewline
285 & 54 & 44.9509244170617 & 9.04907558293832 \tabularnewline
286 & 37 & 54.792452255419 & -17.792452255419 \tabularnewline
287 & 35 & 32.3716027337368 & 2.62839726626317 \tabularnewline
288 & 51 & 41.7400017893791 & 9.2599982106209 \tabularnewline
289 & 39 & 45.3342185869103 & -6.33421858691025 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159748&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]94[/C][C]98.0655393272808[/C][C]-4.06553932728083[/C][/ROW]
[ROW][C]2[/C][C]103[/C][C]84.6855339990329[/C][C]18.3144660009671[/C][/ROW]
[ROW][C]3[/C][C]93[/C][C]117.815601094887[/C][C]-24.8156010948873[/C][/ROW]
[ROW][C]4[/C][C]103[/C][C]93.887676438667[/C][C]9.11232356133294[/C][/ROW]
[ROW][C]5[/C][C]51[/C][C]67.4664198206175[/C][C]-16.4664198206175[/C][/ROW]
[ROW][C]6[/C][C]70[/C][C]73.1188170015356[/C][C]-3.1188170015356[/C][/ROW]
[ROW][C]7[/C][C]91[/C][C]97.1765593136195[/C][C]-6.1765593136195[/C][/ROW]
[ROW][C]8[/C][C]22[/C][C]48.255798018961[/C][C]-26.2557980189611[/C][/ROW]
[ROW][C]9[/C][C]38[/C][C]33.1190068667697[/C][C]4.88099313323034[/C][/ROW]
[ROW][C]10[/C][C]93[/C][C]80.3964201490515[/C][C]12.6035798509485[/C][/ROW]
[ROW][C]11[/C][C]60[/C][C]79.2729794524541[/C][C]-19.2729794524541[/C][/ROW]
[ROW][C]12[/C][C]123[/C][C]123.156345011994[/C][C]-0.156345011993613[/C][/ROW]
[ROW][C]13[/C][C]148[/C][C]134.947348139798[/C][C]13.0526518602017[/C][/ROW]
[ROW][C]14[/C][C]90[/C][C]90.8158772196364[/C][C]-0.815877219636408[/C][/ROW]
[ROW][C]15[/C][C]124[/C][C]130.311411821681[/C][C]-6.31141182168079[/C][/ROW]
[ROW][C]16[/C][C]70[/C][C]106.630853253766[/C][C]-36.6308532537661[/C][/ROW]
[ROW][C]17[/C][C]168[/C][C]153.827056830911[/C][C]14.1729431690894[/C][/ROW]
[ROW][C]18[/C][C]115[/C][C]99.4935677823687[/C][C]15.5064322176313[/C][/ROW]
[ROW][C]19[/C][C]71[/C][C]102.224971687406[/C][C]-31.2249716874061[/C][/ROW]
[ROW][C]20[/C][C]66[/C][C]71.3034084624326[/C][C]-5.30340846243263[/C][/ROW]
[ROW][C]21[/C][C]134[/C][C]113.948307413455[/C][C]20.0516925865454[/C][/ROW]
[ROW][C]22[/C][C]117[/C][C]115.023761750679[/C][C]1.97623824932118[/C][/ROW]
[ROW][C]23[/C][C]108[/C][C]109.306090295319[/C][C]-1.30609029531867[/C][/ROW]
[ROW][C]24[/C][C]84[/C][C]78.5392164216786[/C][C]5.46078357832141[/C][/ROW]
[ROW][C]25[/C][C]156[/C][C]116.995432341063[/C][C]39.0045676589373[/C][/ROW]
[ROW][C]26[/C][C]120[/C][C]104.490593960371[/C][C]15.5094060396289[/C][/ROW]
[ROW][C]27[/C][C]114[/C][C]96.3616760954758[/C][C]17.6383239045242[/C][/ROW]
[ROW][C]28[/C][C]94[/C][C]100.847672953112[/C][C]-6.84767295311205[/C][/ROW]
[ROW][C]29[/C][C]120[/C][C]107.599675567167[/C][C]12.4003244328331[/C][/ROW]
[ROW][C]30[/C][C]81[/C][C]75.7949599186122[/C][C]5.20504008138775[/C][/ROW]
[ROW][C]31[/C][C]110[/C][C]107.139660642789[/C][C]2.86033935721147[/C][/ROW]
[ROW][C]32[/C][C]133[/C][C]112.118104149119[/C][C]20.8818958508807[/C][/ROW]
[ROW][C]33[/C][C]122[/C][C]128.733312907229[/C][C]-6.73331290722924[/C][/ROW]
[ROW][C]34[/C][C]158[/C][C]139.886437582025[/C][C]18.1135624179746[/C][/ROW]
[ROW][C]35[/C][C]109[/C][C]87.1753168825957[/C][C]21.8246831174043[/C][/ROW]
[ROW][C]36[/C][C]124[/C][C]112.96345508062[/C][C]11.0365449193798[/C][/ROW]
[ROW][C]37[/C][C]39[/C][C]39.4309893919892[/C][C]-0.430989391989223[/C][/ROW]
[ROW][C]38[/C][C]92[/C][C]103.469107678698[/C][C]-11.4691076786983[/C][/ROW]
[ROW][C]39[/C][C]126[/C][C]124.204065949272[/C][C]1.79593405072776[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]-6.02178945782661[/C][C]6.02178945782661[/C][/ROW]
[ROW][C]41[/C][C]70[/C][C]88.0621317043197[/C][C]-18.0621317043196[/C][/ROW]
[ROW][C]42[/C][C]37[/C][C]42.7774315547986[/C][C]-5.77743155479862[/C][/ROW]
[ROW][C]43[/C][C]38[/C][C]49.0556380617331[/C][C]-11.0556380617331[/C][/ROW]
[ROW][C]44[/C][C]120[/C][C]107.250273898492[/C][C]12.7497261015077[/C][/ROW]
[ROW][C]45[/C][C]93[/C][C]101.472480667783[/C][C]-8.47248066778297[/C][/ROW]
[ROW][C]46[/C][C]95[/C][C]106.878026562001[/C][C]-11.8780265620011[/C][/ROW]
[ROW][C]47[/C][C]77[/C][C]63.7528725161406[/C][C]13.2471274838593[/C][/ROW]
[ROW][C]48[/C][C]90[/C][C]86.8663611380037[/C][C]3.13363886199633[/C][/ROW]
[ROW][C]49[/C][C]80[/C][C]83.3132581699152[/C][C]-3.31325816991519[/C][/ROW]
[ROW][C]50[/C][C]31[/C][C]114.144958466702[/C][C]-83.1449584667022[/C][/ROW]
[ROW][C]51[/C][C]110[/C][C]119.28418687818[/C][C]-9.28418687818042[/C][/ROW]
[ROW][C]52[/C][C]66[/C][C]74.8446078624017[/C][C]-8.84460786240166[/C][/ROW]
[ROW][C]53[/C][C]138[/C][C]120.857520630712[/C][C]17.1424793692879[/C][/ROW]
[ROW][C]54[/C][C]133[/C][C]127.318197578107[/C][C]5.6818024218929[/C][/ROW]
[ROW][C]55[/C][C]113[/C][C]100.607632869562[/C][C]12.3923671304382[/C][/ROW]
[ROW][C]56[/C][C]100[/C][C]88.2788465197395[/C][C]11.7211534802605[/C][/ROW]
[ROW][C]57[/C][C]7[/C][C]6.6680356413926[/C][C]0.331964358607402[/C][/ROW]
[ROW][C]58[/C][C]140[/C][C]133.936716843397[/C][C]6.06328315660337[/C][/ROW]
[ROW][C]59[/C][C]61[/C][C]50.6590406793248[/C][C]10.3409593206752[/C][/ROW]
[ROW][C]60[/C][C]41[/C][C]41.8046300746057[/C][C]-0.804630074605671[/C][/ROW]
[ROW][C]61[/C][C]96[/C][C]94.434392145108[/C][C]1.56560785489191[/C][/ROW]
[ROW][C]62[/C][C]164[/C][C]140.56849292405[/C][C]23.4315070759496[/C][/ROW]
[ROW][C]63[/C][C]78[/C][C]79.0741725945446[/C][C]-1.07417259454457[/C][/ROW]
[ROW][C]64[/C][C]49[/C][C]47.9100384213825[/C][C]1.08996157861751[/C][/ROW]
[ROW][C]65[/C][C]102[/C][C]92.3460385734199[/C][C]9.65396142658014[/C][/ROW]
[ROW][C]66[/C][C]124[/C][C]115.946820243376[/C][C]8.0531797566239[/C][/ROW]
[ROW][C]67[/C][C]99[/C][C]91.266272683034[/C][C]7.73372731696594[/C][/ROW]
[ROW][C]68[/C][C]129[/C][C]127.93604620358[/C][C]1.06395379642001[/C][/ROW]
[ROW][C]69[/C][C]62[/C][C]78.4506993517743[/C][C]-16.4506993517743[/C][/ROW]
[ROW][C]70[/C][C]73[/C][C]111.273533409708[/C][C]-38.2735334097083[/C][/ROW]
[ROW][C]71[/C][C]114[/C][C]102.649879440732[/C][C]11.3501205592684[/C][/ROW]
[ROW][C]72[/C][C]99[/C][C]94.1251193415948[/C][C]4.87488065840519[/C][/ROW]
[ROW][C]73[/C][C]70[/C][C]80.1754148939683[/C][C]-10.1754148939682[/C][/ROW]
[ROW][C]74[/C][C]104[/C][C]82.8838914143883[/C][C]21.1161085856117[/C][/ROW]
[ROW][C]75[/C][C]116[/C][C]111.883597740928[/C][C]4.11640225907194[/C][/ROW]
[ROW][C]76[/C][C]91[/C][C]89.4243969119842[/C][C]1.57560308801584[/C][/ROW]
[ROW][C]77[/C][C]74[/C][C]69.3835998834184[/C][C]4.61640011658159[/C][/ROW]
[ROW][C]78[/C][C]138[/C][C]123.48272036004[/C][C]14.5172796399603[/C][/ROW]
[ROW][C]79[/C][C]67[/C][C]65.7041452697203[/C][C]1.29585473027971[/C][/ROW]
[ROW][C]80[/C][C]151[/C][C]124.975578966622[/C][C]26.0244210333776[/C][/ROW]
[ROW][C]81[/C][C]72[/C][C]88.2104029715135[/C][C]-16.2104029715135[/C][/ROW]
[ROW][C]82[/C][C]120[/C][C]103.316594153619[/C][C]16.6834058463814[/C][/ROW]
[ROW][C]83[/C][C]115[/C][C]112.136357999045[/C][C]2.86364200095526[/C][/ROW]
[ROW][C]84[/C][C]105[/C][C]94.6394754925295[/C][C]10.3605245074705[/C][/ROW]
[ROW][C]85[/C][C]104[/C][C]106.887782903277[/C][C]-2.8877829032768[/C][/ROW]
[ROW][C]86[/C][C]108[/C][C]90.9442862994501[/C][C]17.0557137005499[/C][/ROW]
[ROW][C]87[/C][C]98[/C][C]101.232891645319[/C][C]-3.23289164531936[/C][/ROW]
[ROW][C]88[/C][C]69[/C][C]66.3647160562909[/C][C]2.63528394370907[/C][/ROW]
[ROW][C]89[/C][C]111[/C][C]131.516292380219[/C][C]-20.5162923802188[/C][/ROW]
[ROW][C]90[/C][C]99[/C][C]80.5134203360137[/C][C]18.4865796639863[/C][/ROW]
[ROW][C]91[/C][C]71[/C][C]110.5302118687[/C][C]-39.5302118687002[/C][/ROW]
[ROW][C]92[/C][C]27[/C][C]22.9978257905032[/C][C]4.00217420949676[/C][/ROW]
[ROW][C]93[/C][C]69[/C][C]72.0166471857248[/C][C]-3.0166471857248[/C][/ROW]
[ROW][C]94[/C][C]107[/C][C]88.1898943960979[/C][C]18.8101056039021[/C][/ROW]
[ROW][C]95[/C][C]73[/C][C]60.6217215297286[/C][C]12.3782784702714[/C][/ROW]
[ROW][C]96[/C][C]107[/C][C]99.7491318005048[/C][C]7.25086819949515[/C][/ROW]
[ROW][C]97[/C][C]93[/C][C]143.400550621398[/C][C]-50.4005506213984[/C][/ROW]
[ROW][C]98[/C][C]129[/C][C]110.65345045916[/C][C]18.3465495408397[/C][/ROW]
[ROW][C]99[/C][C]69[/C][C]105.424141686471[/C][C]-36.4241416864707[/C][/ROW]
[ROW][C]100[/C][C]118[/C][C]103.707198035197[/C][C]14.2928019648033[/C][/ROW]
[ROW][C]101[/C][C]73[/C][C]76.8636434554901[/C][C]-3.86364345549007[/C][/ROW]
[ROW][C]102[/C][C]119[/C][C]103.121313034455[/C][C]15.8786869655449[/C][/ROW]
[ROW][C]103[/C][C]104[/C][C]97.324203863915[/C][C]6.67579613608504[/C][/ROW]
[ROW][C]104[/C][C]107[/C][C]87.8009408608633[/C][C]19.1990591391367[/C][/ROW]
[ROW][C]105[/C][C]99[/C][C]89.6885280387074[/C][C]9.31147196129256[/C][/ROW]
[ROW][C]106[/C][C]90[/C][C]102.575060085944[/C][C]-12.5750600859435[/C][/ROW]
[ROW][C]107[/C][C]197[/C][C]164.549068780365[/C][C]32.4509312196349[/C][/ROW]
[ROW][C]108[/C][C]36[/C][C]60.4085562477758[/C][C]-24.4085562477758[/C][/ROW]
[ROW][C]109[/C][C]85[/C][C]87.8178399508233[/C][C]-2.81783995082334[/C][/ROW]
[ROW][C]110[/C][C]139[/C][C]130.351752558107[/C][C]8.64824744189333[/C][/ROW]
[ROW][C]111[/C][C]106[/C][C]107.99232946302[/C][C]-1.99232946301986[/C][/ROW]
[ROW][C]112[/C][C]50[/C][C]97.693019442061[/C][C]-47.693019442061[/C][/ROW]
[ROW][C]113[/C][C]64[/C][C]51.7350620625399[/C][C]12.2649379374601[/C][/ROW]
[ROW][C]114[/C][C]31[/C][C]63.395505247282[/C][C]-32.395505247282[/C][/ROW]
[ROW][C]115[/C][C]63[/C][C]96.3872859927208[/C][C]-33.3872859927208[/C][/ROW]
[ROW][C]116[/C][C]92[/C][C]99.165238597884[/C][C]-7.16523859788411[/C][/ROW]
[ROW][C]117[/C][C]106[/C][C]105.009949613988[/C][C]0.990050386011682[/C][/ROW]
[ROW][C]118[/C][C]63[/C][C]63.083228291438[/C][C]-0.0832282914379979[/C][/ROW]
[ROW][C]119[/C][C]69[/C][C]68.1726276163598[/C][C]0.827372383640224[/C][/ROW]
[ROW][C]120[/C][C]41[/C][C]49.0128816591214[/C][C]-8.01288165912144[/C][/ROW]
[ROW][C]121[/C][C]56[/C][C]61.528812882898[/C][C]-5.52881288289802[/C][/ROW]
[ROW][C]122[/C][C]25[/C][C]32.1939613976283[/C][C]-7.19396139762826[/C][/ROW]
[ROW][C]123[/C][C]65[/C][C]51.3747351411481[/C][C]13.6252648588519[/C][/ROW]
[ROW][C]124[/C][C]93[/C][C]87.9146136173172[/C][C]5.08538638268284[/C][/ROW]
[ROW][C]125[/C][C]114[/C][C]102.272800053779[/C][C]11.7271999462207[/C][/ROW]
[ROW][C]126[/C][C]38[/C][C]28.9754343590407[/C][C]9.02456564095926[/C][/ROW]
[ROW][C]127[/C][C]44[/C][C]39.0841370260281[/C][C]4.91586297397188[/C][/ROW]
[ROW][C]128[/C][C]87[/C][C]64.8345869283099[/C][C]22.1654130716901[/C][/ROW]
[ROW][C]129[/C][C]110[/C][C]135.045261213722[/C][C]-25.0452612137223[/C][/ROW]
[ROW][C]130[/C][C]0[/C][C]-1.96959229419877[/C][C]1.96959229419877[/C][/ROW]
[ROW][C]131[/C][C]27[/C][C]22.3600960026086[/C][C]4.63990399739138[/C][/ROW]
[ROW][C]132[/C][C]83[/C][C]98.0579419698743[/C][C]-15.0579419698743[/C][/ROW]
[ROW][C]133[/C][C]30[/C][C]30.4310185881257[/C][C]-0.431018588125743[/C][/ROW]
[ROW][C]134[/C][C]80[/C][C]72.2278880120944[/C][C]7.77211198790561[/C][/ROW]
[ROW][C]135[/C][C]98[/C][C]108.109864951961[/C][C]-10.1098649519606[/C][/ROW]
[ROW][C]136[/C][C]82[/C][C]109.425028091676[/C][C]-27.425028091676[/C][/ROW]
[ROW][C]137[/C][C]0[/C][C]-5.03645174442783[/C][C]5.03645174442783[/C][/ROW]
[ROW][C]138[/C][C]60[/C][C]80.0534125620827[/C][C]-20.0534125620827[/C][/ROW]
[ROW][C]139[/C][C]28[/C][C]32.3880500839133[/C][C]-4.38805008391334[/C][/ROW]
[ROW][C]140[/C][C]9[/C][C]19.006930155695[/C][C]-10.006930155695[/C][/ROW]
[ROW][C]141[/C][C]33[/C][C]34.3644888564879[/C][C]-1.3644888564879[/C][/ROW]
[ROW][C]142[/C][C]59[/C][C]58.329314543084[/C][C]0.67068545691603[/C][/ROW]
[ROW][C]143[/C][C]49[/C][C]52.684227590072[/C][C]-3.68422759007197[/C][/ROW]
[ROW][C]144[/C][C]115[/C][C]107.892664278782[/C][C]7.10733572121822[/C][/ROW]
[ROW][C]145[/C][C]140[/C][C]124.239267014965[/C][C]15.7607329850346[/C][/ROW]
[ROW][C]146[/C][C]49[/C][C]62.4281819199092[/C][C]-13.4281819199092[/C][/ROW]
[ROW][C]147[/C][C]120[/C][C]113.809822496918[/C][C]6.19017750308153[/C][/ROW]
[ROW][C]148[/C][C]66[/C][C]70.493638963652[/C][C]-4.49363896365201[/C][/ROW]
[ROW][C]149[/C][C]21[/C][C]19.4569613477735[/C][C]1.54303865222645[/C][/ROW]
[ROW][C]150[/C][C]124[/C][C]106.849608772563[/C][C]17.1503912274374[/C][/ROW]
[ROW][C]151[/C][C]152[/C][C]140.32426887293[/C][C]11.6757311270702[/C][/ROW]
[ROW][C]152[/C][C]139[/C][C]132.586548846751[/C][C]6.41345115324904[/C][/ROW]
[ROW][C]153[/C][C]38[/C][C]42.043165559404[/C][C]-4.04316555940403[/C][/ROW]
[ROW][C]154[/C][C]144[/C][C]138.692793919309[/C][C]5.30720608069128[/C][/ROW]
[ROW][C]155[/C][C]120[/C][C]124.109459365685[/C][C]-4.10945936568464[/C][/ROW]
[ROW][C]156[/C][C]160[/C][C]152.295577036156[/C][C]7.70442296384367[/C][/ROW]
[ROW][C]157[/C][C]114[/C][C]96.6469137459899[/C][C]17.3530862540101[/C][/ROW]
[ROW][C]158[/C][C]39[/C][C]38.8600573913542[/C][C]0.139942608645755[/C][/ROW]
[ROW][C]159[/C][C]78[/C][C]81.2006688406084[/C][C]-3.20066884060845[/C][/ROW]
[ROW][C]160[/C][C]119[/C][C]101.460588263342[/C][C]17.5394117366581[/C][/ROW]
[ROW][C]161[/C][C]141[/C][C]136.778601529301[/C][C]4.22139847069899[/C][/ROW]
[ROW][C]162[/C][C]101[/C][C]86.750287570624[/C][C]14.249712429376[/C][/ROW]
[ROW][C]163[/C][C]56[/C][C]49.0088268492524[/C][C]6.99117315074761[/C][/ROW]
[ROW][C]164[/C][C]133[/C][C]126.095177954668[/C][C]6.90482204533177[/C][/ROW]
[ROW][C]165[/C][C]83[/C][C]90.2799150831459[/C][C]-7.27991508314585[/C][/ROW]
[ROW][C]166[/C][C]116[/C][C]111.910747903812[/C][C]4.08925209618772[/C][/ROW]
[ROW][C]167[/C][C]90[/C][C]99.134855018868[/C][C]-9.13485501886807[/C][/ROW]
[ROW][C]168[/C][C]36[/C][C]83.1349963303652[/C][C]-47.1349963303652[/C][/ROW]
[ROW][C]169[/C][C]50[/C][C]60.9308910945211[/C][C]-10.9308910945211[/C][/ROW]
[ROW][C]170[/C][C]61[/C][C]66.1877770477686[/C][C]-5.1877770477686[/C][/ROW]
[ROW][C]171[/C][C]97[/C][C]106.2376861616[/C][C]-9.23768616159995[/C][/ROW]
[ROW][C]172[/C][C]98[/C][C]99.186665352199[/C][C]-1.18666535219911[/C][/ROW]
[ROW][C]173[/C][C]78[/C][C]67.4728985354424[/C][C]10.5271014645576[/C][/ROW]
[ROW][C]174[/C][C]117[/C][C]126.803047131094[/C][C]-9.80304713109444[/C][/ROW]
[ROW][C]175[/C][C]148[/C][C]119.971460858154[/C][C]28.0285391418458[/C][/ROW]
[ROW][C]176[/C][C]41[/C][C]41.5377446930585[/C][C]-0.537744693058465[/C][/ROW]
[ROW][C]177[/C][C]105[/C][C]101.530461030132[/C][C]3.46953896986797[/C][/ROW]
[ROW][C]178[/C][C]55[/C][C]52.8983202656667[/C][C]2.10167973433334[/C][/ROW]
[ROW][C]179[/C][C]132[/C][C]124.622230683614[/C][C]7.3777693163862[/C][/ROW]
[ROW][C]180[/C][C]44[/C][C]44.9210921975435[/C][C]-0.921092197543499[/C][/ROW]
[ROW][C]181[/C][C]21[/C][C]18.7429956527491[/C][C]2.25700434725087[/C][/ROW]
[ROW][C]182[/C][C]50[/C][C]47.926568542296[/C][C]2.07343145770397[/C][/ROW]
[ROW][C]183[/C][C]0[/C][C]-5.34818368277565[/C][C]5.34818368277565[/C][/ROW]
[ROW][C]184[/C][C]73[/C][C]94.9471726453907[/C][C]-21.9471726453907[/C][/ROW]
[ROW][C]185[/C][C]86[/C][C]122.45931316462[/C][C]-36.4593131646196[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]-5.96371378047018[/C][C]5.96371378047018[/C][/ROW]
[ROW][C]187[/C][C]13[/C][C]11.7145073693188[/C][C]1.28549263068116[/C][/ROW]
[ROW][C]188[/C][C]4[/C][C]-2.07772022860299[/C][C]6.07772022860299[/C][/ROW]
[ROW][C]189[/C][C]57[/C][C]49.8707180437981[/C][C]7.12928195620187[/C][/ROW]
[ROW][C]190[/C][C]48[/C][C]93.8398460585799[/C][C]-45.8398460585799[/C][/ROW]
[ROW][C]191[/C][C]46[/C][C]75.3611926589122[/C][C]-29.3611926589122[/C][/ROW]
[ROW][C]192[/C][C]48[/C][C]50.4429574186745[/C][C]-2.4429574186745[/C][/ROW]
[ROW][C]193[/C][C]32[/C][C]30.7404482801218[/C][C]1.25955171987823[/C][/ROW]
[ROW][C]194[/C][C]68[/C][C]66.5745903934633[/C][C]1.42540960653669[/C][/ROW]
[ROW][C]195[/C][C]87[/C][C]68.3505715599559[/C][C]18.6494284400441[/C][/ROW]
[ROW][C]196[/C][C]43[/C][C]37.2750536420019[/C][C]5.72494635799814[/C][/ROW]
[ROW][C]197[/C][C]67[/C][C]54.0288256657323[/C][C]12.9711743342677[/C][/ROW]
[ROW][C]198[/C][C]46[/C][C]36.4260164032896[/C][C]9.57398359671038[/C][/ROW]
[ROW][C]199[/C][C]46[/C][C]49.9624737665254[/C][C]-3.96247376652541[/C][/ROW]
[ROW][C]200[/C][C]56[/C][C]42.5811501145255[/C][C]13.4188498854745[/C][/ROW]
[ROW][C]201[/C][C]48[/C][C]45.9846152138727[/C][C]2.0153847861273[/C][/ROW]
[ROW][C]202[/C][C]44[/C][C]66.9856205063336[/C][C]-22.9856205063336[/C][/ROW]
[ROW][C]203[/C][C]60[/C][C]47.5609117931384[/C][C]12.4390882068616[/C][/ROW]
[ROW][C]204[/C][C]65[/C][C]51.0707085758229[/C][C]13.9292914241771[/C][/ROW]
[ROW][C]205[/C][C]55[/C][C]51.7445942843521[/C][C]3.25540571564786[/C][/ROW]
[ROW][C]206[/C][C]38[/C][C]54.7738653230285[/C][C]-16.7738653230285[/C][/ROW]
[ROW][C]207[/C][C]52[/C][C]45.5519593663456[/C][C]6.44804063365437[/C][/ROW]
[ROW][C]208[/C][C]60[/C][C]54.5560808120553[/C][C]5.44391918794473[/C][/ROW]
[ROW][C]209[/C][C]54[/C][C]56.3771481775804[/C][C]-2.37714817758041[/C][/ROW]
[ROW][C]210[/C][C]86[/C][C]67.0619452177383[/C][C]18.9380547822617[/C][/ROW]
[ROW][C]211[/C][C]24[/C][C]23.5619119418552[/C][C]0.438088058144845[/C][/ROW]
[ROW][C]212[/C][C]52[/C][C]52.29558243798[/C][C]-0.295582437979997[/C][/ROW]
[ROW][C]213[/C][C]49[/C][C]49.7279383659039[/C][C]-0.727938365903875[/C][/ROW]
[ROW][C]214[/C][C]61[/C][C]46.4895273075551[/C][C]14.5104726924449[/C][/ROW]
[ROW][C]215[/C][C]61[/C][C]63.98611900259[/C][C]-2.98611900259005[/C][/ROW]
[ROW][C]216[/C][C]81[/C][C]61.1651303022318[/C][C]19.8348696977682[/C][/ROW]
[ROW][C]217[/C][C]43[/C][C]35.1723622369994[/C][C]7.82763776300061[/C][/ROW]
[ROW][C]218[/C][C]40[/C][C]35.3904620796495[/C][C]4.60953792035047[/C][/ROW]
[ROW][C]219[/C][C]40[/C][C]44.9985041827567[/C][C]-4.9985041827567[/C][/ROW]
[ROW][C]220[/C][C]56[/C][C]46.6087097589284[/C][C]9.39129024107158[/C][/ROW]
[ROW][C]221[/C][C]68[/C][C]57.1110738211195[/C][C]10.8889261788805[/C][/ROW]
[ROW][C]222[/C][C]79[/C][C]64.5240696922302[/C][C]14.4759303077698[/C][/ROW]
[ROW][C]223[/C][C]47[/C][C]48.793636319916[/C][C]-1.79363631991605[/C][/ROW]
[ROW][C]224[/C][C]57[/C][C]50.9999845298629[/C][C]6.00001547013711[/C][/ROW]
[ROW][C]225[/C][C]41[/C][C]45.2664113865436[/C][C]-4.26641138654363[/C][/ROW]
[ROW][C]226[/C][C]29[/C][C]38.2218966123301[/C][C]-9.22189661233007[/C][/ROW]
[ROW][C]227[/C][C]3[/C][C]19.5141264232916[/C][C]-16.5141264232916[/C][/ROW]
[ROW][C]228[/C][C]60[/C][C]47.396819499646[/C][C]12.603180500354[/C][/ROW]
[ROW][C]229[/C][C]30[/C][C]38.0140202345679[/C][C]-8.01402023456791[/C][/ROW]
[ROW][C]230[/C][C]79[/C][C]64.9396672599266[/C][C]14.0603327400734[/C][/ROW]
[ROW][C]231[/C][C]47[/C][C]44.8179441996488[/C][C]2.18205580035122[/C][/ROW]
[ROW][C]232[/C][C]40[/C][C]39.9539098551475[/C][C]0.0460901448524823[/C][/ROW]
[ROW][C]233[/C][C]48[/C][C]42.9085678879327[/C][C]5.09143211206732[/C][/ROW]
[ROW][C]234[/C][C]36[/C][C]46.360036571663[/C][C]-10.360036571663[/C][/ROW]
[ROW][C]235[/C][C]42[/C][C]59.0387320887818[/C][C]-17.0387320887818[/C][/ROW]
[ROW][C]236[/C][C]49[/C][C]49.9807784308674[/C][C]-0.980778430867353[/C][/ROW]
[ROW][C]237[/C][C]57[/C][C]58.6546199832686[/C][C]-1.65461998326863[/C][/ROW]
[ROW][C]238[/C][C]12[/C][C]46.1232823247467[/C][C]-34.1232823247467[/C][/ROW]
[ROW][C]239[/C][C]40[/C][C]48.0850256041715[/C][C]-8.0850256041715[/C][/ROW]
[ROW][C]240[/C][C]43[/C][C]42.5581040000146[/C][C]0.441895999985418[/C][/ROW]
[ROW][C]241[/C][C]33[/C][C]43.9624560320695[/C][C]-10.9624560320695[/C][/ROW]
[ROW][C]242[/C][C]77[/C][C]64.8516167136949[/C][C]12.1483832863051[/C][/ROW]
[ROW][C]243[/C][C]43[/C][C]43.6689635979709[/C][C]-0.668963597970882[/C][/ROW]
[ROW][C]244[/C][C]45[/C][C]38.0110672850787[/C][C]6.98893271492133[/C][/ROW]
[ROW][C]245[/C][C]47[/C][C]42.3825461398358[/C][C]4.61745386016417[/C][/ROW]
[ROW][C]246[/C][C]43[/C][C]49.1391699584366[/C][C]-6.13916995843662[/C][/ROW]
[ROW][C]247[/C][C]45[/C][C]44.0454421020379[/C][C]0.95455789796214[/C][/ROW]
[ROW][C]248[/C][C]50[/C][C]44.0716092239987[/C][C]5.92839077600128[/C][/ROW]
[ROW][C]249[/C][C]35[/C][C]29.1175226321322[/C][C]5.88247736786784[/C][/ROW]
[ROW][C]250[/C][C]7[/C][C]13.3531605585925[/C][C]-6.35316055859253[/C][/ROW]
[ROW][C]251[/C][C]71[/C][C]68.933463481689[/C][C]2.06653651831097[/C][/ROW]
[ROW][C]252[/C][C]67[/C][C]62.2219606595864[/C][C]4.77803934041364[/C][/ROW]
[ROW][C]253[/C][C]0[/C][C]-2.03747953270549[/C][C]2.03747953270549[/C][/ROW]
[ROW][C]254[/C][C]62[/C][C]53.1444549312716[/C][C]8.85554506872844[/C][/ROW]
[ROW][C]255[/C][C]54[/C][C]49.1215484211455[/C][C]4.87845157885446[/C][/ROW]
[ROW][C]256[/C][C]4[/C][C]7.39139217711381[/C][C]-3.39139217711381[/C][/ROW]
[ROW][C]257[/C][C]25[/C][C]24.6936228742279[/C][C]0.306377125772125[/C][/ROW]
[ROW][C]258[/C][C]40[/C][C]46.9792164460594[/C][C]-6.97921644605938[/C][/ROW]
[ROW][C]259[/C][C]38[/C][C]44.8076453611658[/C][C]-6.80764536116576[/C][/ROW]
[ROW][C]260[/C][C]19[/C][C]22.7093212012263[/C][C]-3.70932120122627[/C][/ROW]
[ROW][C]261[/C][C]17[/C][C]41.6121956185571[/C][C]-24.6121956185571[/C][/ROW]
[ROW][C]262[/C][C]67[/C][C]48.758118509565[/C][C]18.2418814904351[/C][/ROW]
[ROW][C]263[/C][C]14[/C][C]16.5843353716434[/C][C]-2.58433537164339[/C][/ROW]
[ROW][C]264[/C][C]30[/C][C]40.991032354334[/C][C]-10.991032354334[/C][/ROW]
[ROW][C]265[/C][C]54[/C][C]37.8186159638583[/C][C]16.1813840361417[/C][/ROW]
[ROW][C]266[/C][C]35[/C][C]40.7125281995975[/C][C]-5.71252819959749[/C][/ROW]
[ROW][C]267[/C][C]59[/C][C]50.4412680663141[/C][C]8.55873193368592[/C][/ROW]
[ROW][C]268[/C][C]24[/C][C]32.8990393841016[/C][C]-8.8990393841016[/C][/ROW]
[ROW][C]269[/C][C]58[/C][C]50.0359791201872[/C][C]7.9640208798128[/C][/ROW]
[ROW][C]270[/C][C]42[/C][C]60.1101199420816[/C][C]-18.1101199420816[/C][/ROW]
[ROW][C]271[/C][C]46[/C][C]56.0240281492182[/C][C]-10.0240281492182[/C][/ROW]
[ROW][C]272[/C][C]61[/C][C]45.4825984704533[/C][C]15.5174015295467[/C][/ROW]
[ROW][C]273[/C][C]3[/C][C]-0.660644223849382[/C][C]3.66064422384938[/C][/ROW]
[ROW][C]274[/C][C]52[/C][C]47.9805357276324[/C][C]4.01946427236761[/C][/ROW]
[ROW][C]275[/C][C]25[/C][C]27.3292064026065[/C][C]-2.32920640260648[/C][/ROW]
[ROW][C]276[/C][C]40[/C][C]53.4046542255525[/C][C]-13.4046542255525[/C][/ROW]
[ROW][C]277[/C][C]32[/C][C]32.3667832715342[/C][C]-0.366783271534206[/C][/ROW]
[ROW][C]278[/C][C]4[/C][C]0.796844451837711[/C][C]3.20315554816229[/C][/ROW]
[ROW][C]279[/C][C]49[/C][C]40.4730257306019[/C][C]8.52697426939812[/C][/ROW]
[ROW][C]280[/C][C]63[/C][C]49.5764607840397[/C][C]13.4235392159603[/C][/ROW]
[ROW][C]281[/C][C]67[/C][C]54.5407699390118[/C][C]12.4592300609882[/C][/ROW]
[ROW][C]282[/C][C]32[/C][C]41.1749028572037[/C][C]-9.17490285720375[/C][/ROW]
[ROW][C]283[/C][C]23[/C][C]32.1333707714224[/C][C]-9.13337077142244[/C][/ROW]
[ROW][C]284[/C][C]7[/C][C]8.12874686839518[/C][C]-1.12874686839518[/C][/ROW]
[ROW][C]285[/C][C]54[/C][C]44.9509244170617[/C][C]9.04907558293832[/C][/ROW]
[ROW][C]286[/C][C]37[/C][C]54.792452255419[/C][C]-17.792452255419[/C][/ROW]
[ROW][C]287[/C][C]35[/C][C]32.3716027337368[/C][C]2.62839726626317[/C][/ROW]
[ROW][C]288[/C][C]51[/C][C]41.7400017893791[/C][C]9.2599982106209[/C][/ROW]
[ROW][C]289[/C][C]39[/C][C]45.3342185869103[/C][C]-6.33421858691025[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159748&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159748&T=4

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


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
19498.0655393272808-4.06553932728083
210384.685533999032918.3144660009671
393117.815601094887-24.8156010948873
410393.8876764386679.11232356133294
55167.4664198206175-16.4664198206175
67073.1188170015356-3.1188170015356
79197.1765593136195-6.1765593136195
82248.255798018961-26.2557980189611
93833.11900686676974.88099313323034
109380.396420149051512.6035798509485
116079.2729794524541-19.2729794524541
12123123.156345011994-0.156345011993613
13148134.94734813979813.0526518602017
149090.8158772196364-0.815877219636408
15124130.311411821681-6.31141182168079
1670106.630853253766-36.6308532537661
17168153.82705683091114.1729431690894
1811599.493567782368715.5064322176313
1971102.224971687406-31.2249716874061
206671.3034084624326-5.30340846243263
21134113.94830741345520.0516925865454
22117115.0237617506791.97623824932118
23108109.306090295319-1.30609029531867
248478.53921642167865.46078357832141
25156116.99543234106339.0045676589373
26120104.49059396037115.5094060396289
2711496.361676095475817.6383239045242
2894100.847672953112-6.84767295311205
29120107.59967556716712.4003244328331
308175.79495991861225.20504008138775
31110107.1396606427892.86033935721147
32133112.11810414911920.8818958508807
33122128.733312907229-6.73331290722924
34158139.88643758202518.1135624179746
3510987.175316882595721.8246831174043
36124112.9634550806211.0365449193798
373939.4309893919892-0.430989391989223
3892103.469107678698-11.4691076786983
39126124.2040659492721.79593405072776
400-6.021789457826616.02178945782661
417088.0621317043197-18.0621317043196
423742.7774315547986-5.77743155479862
433849.0556380617331-11.0556380617331
44120107.25027389849212.7497261015077
4593101.472480667783-8.47248066778297
4695106.878026562001-11.8780265620011
477763.752872516140613.2471274838593
489086.86636113800373.13363886199633
498083.3132581699152-3.31325816991519
5031114.144958466702-83.1449584667022
51110119.28418687818-9.28418687818042
526674.8446078624017-8.84460786240166
53138120.85752063071217.1424793692879
54133127.3181975781075.6818024218929
55113100.60763286956212.3923671304382
5610088.278846519739511.7211534802605
5776.66803564139260.331964358607402
58140133.9367168433976.06328315660337
596150.659040679324810.3409593206752
604141.8046300746057-0.804630074605671
619694.4343921451081.56560785489191
62164140.5684929240523.4315070759496
637879.0741725945446-1.07417259454457
644947.91003842138251.08996157861751
6510292.34603857341999.65396142658014
66124115.9468202433768.0531797566239
679991.2662726830347.73372731696594
68129127.936046203581.06395379642001
696278.4506993517743-16.4506993517743
7073111.273533409708-38.2735334097083
71114102.64987944073211.3501205592684
729994.12511934159484.87488065840519
737080.1754148939683-10.1754148939682
7410482.883891414388321.1161085856117
75116111.8835977409284.11640225907194
769189.42439691198421.57560308801584
777469.38359988341844.61640011658159
78138123.4827203600414.5172796399603
796765.70414526972031.29585473027971
80151124.97557896662226.0244210333776
817288.2104029715135-16.2104029715135
82120103.31659415361916.6834058463814
83115112.1363579990452.86364200095526
8410594.639475492529510.3605245074705
85104106.887782903277-2.8877829032768
8610890.944286299450117.0557137005499
8798101.232891645319-3.23289164531936
886966.36471605629092.63528394370907
89111131.516292380219-20.5162923802188
909980.513420336013718.4865796639863
9171110.5302118687-39.5302118687002
922722.99782579050324.00217420949676
936972.0166471857248-3.0166471857248
9410788.189894396097918.8101056039021
957360.621721529728612.3782784702714
9610799.74913180050487.25086819949515
9793143.400550621398-50.4005506213984
98129110.6534504591618.3465495408397
9969105.424141686471-36.4241416864707
100118103.70719803519714.2928019648033
1017376.8636434554901-3.86364345549007
102119103.12131303445515.8786869655449
10310497.3242038639156.67579613608504
10410787.800940860863319.1990591391367
1059989.68852803870749.31147196129256
10690102.575060085944-12.5750600859435
107197164.54906878036532.4509312196349
1083660.4085562477758-24.4085562477758
1098587.8178399508233-2.81783995082334
110139130.3517525581078.64824744189333
111106107.99232946302-1.99232946301986
1125097.693019442061-47.693019442061
1136451.735062062539912.2649379374601
1143163.395505247282-32.395505247282
1156396.3872859927208-33.3872859927208
1169299.165238597884-7.16523859788411
117106105.0099496139880.990050386011682
1186363.083228291438-0.0832282914379979
1196968.17262761635980.827372383640224
1204149.0128816591214-8.01288165912144
1215661.528812882898-5.52881288289802
1222532.1939613976283-7.19396139762826
1236551.374735141148113.6252648588519
1249387.91461361731725.08538638268284
125114102.27280005377911.7271999462207
1263828.97543435904079.02456564095926
1274439.08413702602814.91586297397188
1288764.834586928309922.1654130716901
129110135.045261213722-25.0452612137223
1300-1.969592294198771.96959229419877
1312722.36009600260864.63990399739138
1328398.0579419698743-15.0579419698743
1333030.4310185881257-0.431018588125743
1348072.22788801209447.77211198790561
13598108.109864951961-10.1098649519606
13682109.425028091676-27.425028091676
1370-5.036451744427835.03645174442783
1386080.0534125620827-20.0534125620827
1392832.3880500839133-4.38805008391334
140919.006930155695-10.006930155695
1413334.3644888564879-1.3644888564879
1425958.3293145430840.67068545691603
1434952.684227590072-3.68422759007197
144115107.8926642787827.10733572121822
145140124.23926701496515.7607329850346
1464962.4281819199092-13.4281819199092
147120113.8098224969186.19017750308153
1486670.493638963652-4.49363896365201
1492119.45696134777351.54303865222645
150124106.84960877256317.1503912274374
151152140.3242688729311.6757311270702
152139132.5865488467516.41345115324904
1533842.043165559404-4.04316555940403
154144138.6927939193095.30720608069128
155120124.109459365685-4.10945936568464
156160152.2955770361567.70442296384367
15711496.646913745989917.3530862540101
1583938.86005739135420.139942608645755
1597881.2006688406084-3.20066884060845
160119101.46058826334217.5394117366581
161141136.7786015293014.22139847069899
16210186.75028757062414.249712429376
1635649.00882684925246.99117315074761
164133126.0951779546686.90482204533177
1658390.2799150831459-7.27991508314585
166116111.9107479038124.08925209618772
1679099.134855018868-9.13485501886807
1683683.1349963303652-47.1349963303652
1695060.9308910945211-10.9308910945211
1706166.1877770477686-5.1877770477686
17197106.2376861616-9.23768616159995
1729899.186665352199-1.18666535219911
1737867.472898535442410.5271014645576
174117126.803047131094-9.80304713109444
175148119.97146085815428.0285391418458
1764141.5377446930585-0.537744693058465
177105101.5304610301323.46953896986797
1785552.89832026566672.10167973433334
179132124.6222306836147.3777693163862
1804444.9210921975435-0.921092197543499
1812118.74299565274912.25700434725087
1825047.9265685422962.07343145770397
1830-5.348183682775655.34818368277565
1847394.9471726453907-21.9471726453907
18586122.45931316462-36.4593131646196
1860-5.963713780470185.96371378047018
1871311.71450736931881.28549263068116
1884-2.077720228602996.07772022860299
1895749.87071804379817.12928195620187
1904893.8398460585799-45.8398460585799
1914675.3611926589122-29.3611926589122
1924850.4429574186745-2.4429574186745
1933230.74044828012181.25955171987823
1946866.57459039346331.42540960653669
1958768.350571559955918.6494284400441
1964337.27505364200195.72494635799814
1976754.028825665732312.9711743342677
1984636.42601640328969.57398359671038
1994649.9624737665254-3.96247376652541
2005642.581150114525513.4188498854745
2014845.98461521387272.0153847861273
2024466.9856205063336-22.9856205063336
2036047.560911793138412.4390882068616
2046551.070708575822913.9292914241771
2055551.74459428435213.25540571564786
2063854.7738653230285-16.7738653230285
2075245.55195936634566.44804063365437
2086054.55608081205535.44391918794473
2095456.3771481775804-2.37714817758041
2108667.061945217738318.9380547822617
2112423.56191194185520.438088058144845
2125252.29558243798-0.295582437979997
2134949.7279383659039-0.727938365903875
2146146.489527307555114.5104726924449
2156163.98611900259-2.98611900259005
2168161.165130302231819.8348696977682
2174335.17236223699947.82763776300061
2184035.39046207964954.60953792035047
2194044.9985041827567-4.9985041827567
2205646.60870975892849.39129024107158
2216857.111073821119510.8889261788805
2227964.524069692230214.4759303077698
2234748.793636319916-1.79363631991605
2245750.99998452986296.00001547013711
2254145.2664113865436-4.26641138654363
2262938.2218966123301-9.22189661233007
227319.5141264232916-16.5141264232916
2286047.39681949964612.603180500354
2293038.0140202345679-8.01402023456791
2307964.939667259926614.0603327400734
2314744.81794419964882.18205580035122
2324039.95390985514750.0460901448524823
2334842.90856788793275.09143211206732
2343646.360036571663-10.360036571663
2354259.0387320887818-17.0387320887818
2364949.9807784308674-0.980778430867353
2375758.6546199832686-1.65461998326863
2381246.1232823247467-34.1232823247467
2394048.0850256041715-8.0850256041715
2404342.55810400001460.441895999985418
2413343.9624560320695-10.9624560320695
2427764.851616713694912.1483832863051
2434343.6689635979709-0.668963597970882
2444538.01106728507876.98893271492133
2454742.38254613983584.61745386016417
2464349.1391699584366-6.13916995843662
2474544.04544210203790.95455789796214
2485044.07160922399875.92839077600128
2493529.11752263213225.88247736786784
250713.3531605585925-6.35316055859253
2517168.9334634816892.06653651831097
2526762.22196065958644.77803934041364
2530-2.037479532705492.03747953270549
2546253.14445493127168.85554506872844
2555449.12154842114554.87845157885446
25647.39139217711381-3.39139217711381
2572524.69362287422790.306377125772125
2584046.9792164460594-6.97921644605938
2593844.8076453611658-6.80764536116576
2601922.7093212012263-3.70932120122627
2611741.6121956185571-24.6121956185571
2626748.75811850956518.2418814904351
2631416.5843353716434-2.58433537164339
2643040.991032354334-10.991032354334
2655437.818615963858316.1813840361417
2663540.7125281995975-5.71252819959749
2675950.44126806631418.55873193368592
2682432.8990393841016-8.8990393841016
2695850.03597912018727.9640208798128
2704260.1101199420816-18.1101199420816
2714656.0240281492182-10.0240281492182
2726145.482598470453315.5174015295467
2733-0.6606442238493823.66064422384938
2745247.98053572763244.01946427236761
2752527.3292064026065-2.32920640260648
2764053.4046542255525-13.4046542255525
2773232.3667832715342-0.366783271534206
27840.7968444518377113.20315554816229
2794940.47302573060198.52697426939812
2806349.576460784039713.4235392159603
2816754.540769939011812.4592300609882
2823241.1749028572037-9.17490285720375
2832332.1333707714224-9.13337077142244
28478.12874686839518-1.12874686839518
2855444.95092441706179.04907558293832
2863754.792452255419-17.792452255419
2873532.37160273373682.62839726626317
2885141.74000178937919.2599982106209
2893945.3342185869103-6.33421858691025






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.816638201661950.3667235966760990.183361798338049
80.8761035724576080.2477928550847840.123896427542392
90.8213928370608120.3572143258783760.178607162939188
100.7923518711691030.4152962576617940.207648128830897
110.776777230917780.4464455381644390.223222769082219
120.7115711107840330.5768577784319350.288428889215967
130.6795390994845980.6409218010308030.320460900515402
140.59158605162610.8168278967478010.4084139483739
150.522876549155340.954246901689320.47712345084466
160.7819221963353940.4361556073292120.218077803664606
170.7257561234181940.5484877531636120.274243876581806
180.7879900643049210.4240198713901570.212009935695079
190.8869372100644260.2261255798711480.113062789935574
200.8506569344068280.2986861311863450.149343065593172
210.8817141878354240.2365716243291530.118285812164576
220.8467364577478350.306527084504330.153263542252165
230.8129725256256860.3740549487486280.187027474374314
240.7888142422278950.4223715155442110.211185757772105
250.931077410732840.1378451785343220.068922589267161
260.9149011267756730.1701977464486530.0850988732243265
270.9060643060360130.1878713879279740.0939356939639868
280.8890368031562490.2219263936875020.110963196843751
290.884912561267560.2301748774648810.11508743873244
300.860029535226850.27994092954630.13997046477315
310.8276421848123790.3447156303752430.172357815187621
320.8472914843223930.3054170313552130.152708515677607
330.8396960152795630.3206079694408740.160303984720437
340.838791021985960.322417956028080.16120897801404
350.8573710225777930.2852579548444140.142628977422207
360.841054407196570.317891185606860.15894559280343
370.8144737158554880.3710525682890250.185526284144512
380.8058319892137080.3883360215725840.194168010786292
390.769249888167110.4615002236657790.230750111832889
400.7634138948481030.4731722103037950.236586105151897
410.7828847821378030.4342304357243940.217115217862197
420.7465267973616620.5069464052766760.253473202638338
430.731230225378090.5375395492438210.268769774621911
440.7139584662116070.5720830675767860.286041533788393
450.6884289897166820.6231420205666360.311571010283318
460.6874875466689250.6250249066621510.312512453331075
470.670050030567110.6598999388657780.329949969432889
480.6283163148944040.7433673702111930.371683685105596
490.5884162844257870.8231674311484260.411583715574213
500.9994418409729660.001116318054067640.000558159027033822
510.999266217586180.001467564827639160.000733782413819582
520.9990099697033540.001980060593292960.000990030296646478
530.9990813151185340.001837369762932060.000918684881466032
540.9987811440282340.002437711943532520.00121885597176626
550.9986583714983760.002683257003248310.00134162850162416
560.9984292619869920.003141476026016740.00157073801300837
570.9978770705033630.004245858993274640.00212292949663732
580.9971643161721060.005671367655787140.00283568382789357
590.9967600235845960.006479952830808840.00323997641540442
600.9956260268482180.008747946303563570.00437397315178178
610.9941733324812540.01165333503749290.00582666751874647
620.9955201853970030.008959629205993920.00447981460299696
630.9941035629464730.01179287410705460.00589643705352731
640.992271634104460.01545673179107850.00772836589553923
650.9909142422459480.01817151550810320.00908575775405162
660.9887322422139220.02253551557215550.0112677577860778
670.9861985634475190.02760287310496170.0138014365524808
680.9824241458473930.03515170830521490.0175758541526074
690.9828488371015480.03430232579690420.0171511628984521
700.99508547713290.009829045734198550.00491452286709927
710.9943619077646850.01127618447063020.00563809223531511
720.9928042905742580.01439141885148440.00719570942574218
730.9917270319224640.01654593615507230.00827296807753615
740.993574497777280.0128510044454420.00642550222272099
750.9918675673356370.01626486532872520.0081324326643626
760.9895532804975830.0208934390048340.010446719502417
770.9870458857795140.02590822844097130.0129541142204856
780.9865977135504420.02680457289911650.0134022864495583
790.9831438890543520.03371222189129690.0168561109456484
800.988551657096470.02289668580706180.0114483429035309
810.9890097639200480.02198047215990420.0109902360799521
820.989373077591060.02125384481788170.0106269224089409
830.986815072922660.02636985415468040.0131849270773402
840.9849346274387560.03013074512248810.015065372561244
850.9814815636971660.03703687260566730.0185184363028337
860.9825345250942480.03493094981150350.0174654749057517
870.9785610541213140.04287789175737170.0214389458786858
880.9737507625672540.05249847486549110.0262492374327455
890.979105074947170.04178985010565860.0208949250528293
900.9811610970008350.03767780599833040.0188389029991652
910.995356656737670.009286686524660420.00464334326233021
920.9941541645520890.01169167089582270.00584583544791135
930.9925569506047280.01488609879054350.00744304939527175
940.9934480248074550.01310395038509030.00655197519254515
950.9929062968374340.0141874063251310.00709370316256551
960.991446732625530.01710653474893890.00855326737446944
970.9994346916797150.001130616640569170.000565308320284587
980.9995114015137350.0009771969725309690.000488598486265484
990.999893568578350.0002128628433003340.000106431421650167
1000.9998892899856350.000221420028729910.000110710014364955
1010.999848207212730.0003035855745416380.000151792787270819
1020.9998522145421760.0002955709156471670.000147785457823584
1030.999807824076170.0003843518476591130.000192175923829556
1040.9998432963445120.0003134073109762740.000156703655488137
1050.999809631926670.0003807361466598490.000190368073329924
1060.999787350757480.0004252984850404020.000212649242520201
1070.9999403232336070.0001193535327867955.96767663933977e-05
1080.9999660704844726.78590310552094e-053.39295155276047e-05
1090.9999518706709359.62586581303453e-054.81293290651727e-05
1100.9999408845519620.0001182308960753345.91154480376668e-05
1110.9999172340581880.0001655318836236448.2765941811822e-05
1120.9999970358550925.92828981687485e-062.96414490843743e-06
1130.9999966798802116.64023957733243e-063.32011978866622e-06
1140.999999263840741.47231851781965e-067.36159258909827e-07
1150.9999998708028322.58394335761875e-071.29197167880937e-07
1160.999999815868343.68263321059623e-071.84131660529812e-07
1170.9999997138551385.7228972490436e-072.8614486245218e-07
1180.9999995569979438.86004114951397e-074.43002057475699e-07
1190.9999993212334921.35753301691992e-066.78766508459962e-07
1200.9999990857556741.82848865257958e-069.14244326289789e-07
1210.9999986831703042.63365939222986e-061.31682969611493e-06
1220.999998201066793.59786641780635e-061.79893320890317e-06
1230.9999980988315363.8023369272006e-061.9011684636003e-06
1240.9999972979744055.40405119076501e-062.70202559538251e-06
1250.9999970523120245.8953759520932e-062.9476879760466e-06
1260.9999963037580177.39248396694369e-063.69624198347184e-06
1270.999994794845691.04103086183439e-055.20515430917196e-06
1280.9999969409827046.11803459246544e-063.05901729623272e-06
1290.999998498013453.00397309925845e-061.50198654962922e-06
1300.999997754505784.49098843895912e-062.24549421947956e-06
1310.9999967670893716.4658212584984e-063.2329106292492e-06
1320.9999968284941466.34301170902078e-063.17150585451039e-06
1330.9999952805118649.43897627104524e-064.71948813552262e-06
1340.9999936601164751.26797670492252e-056.33988352461261e-06
1350.999992227148971.55457020578629e-057.77285102893147e-06
1360.999997182272435.63545514091604e-062.81772757045802e-06
1370.999995991776538.01644693908965e-064.00822346954482e-06
1380.9999973702046075.25959078607957e-062.62979539303979e-06
1390.9999961930286747.6139426509996e-063.8069713254998e-06
1400.9999952994882269.40102354855877e-064.70051177427938e-06
1410.9999930603062431.38793875130461e-056.93969375652305e-06
1420.9999898062549552.03874900892494e-051.01937450446247e-05
1430.9999854845845162.90308309679723e-051.45154154839862e-05
1440.9999804775861673.90448276659513e-051.95224138329756e-05
1450.9999818678314383.62643371244651e-051.81321685622325e-05
1460.9999807663691173.8467261765674e-051.9233630882837e-05
1470.9999744098370385.11803259244761e-052.55901629622381e-05
1480.9999643568542637.12862914734888e-053.56431457367444e-05
1490.999949353350620.0001012932987585195.06466493792597e-05
1500.9999578039832178.4392033566036e-054.2196016783018e-05
1510.9999535395572679.2920885466774e-054.6460442733387e-05
1520.9999424871187270.0001150257625459155.75128812729577e-05
1530.9999216490882230.0001567018235530217.83509117765105e-05
1540.9998958012442970.00020839751140650.00010419875570325
1550.9998563021138650.0002873957722699280.000143697886134964
1560.9998256648997980.0003486702004044580.000174335100202229
1570.9998749655008680.0002500689982645810.000125034499132291
1580.9998255826402070.0003488347195864910.000174417359793246
1590.9997598108528670.0004803782942663550.000240189147133177
1600.9998144438087220.0003711123825560250.000185556191278013
1610.9997582534280980.0004834931438037390.000241746571901869
1620.999787584763390.0004248304732192760.000212415236609638
1630.9997270758994890.0005458482010222470.000272924100511124
1640.9996790193330840.0006419613338312320.000320980666915616
1650.9995784424562240.0008431150875511070.000421557543775553
1660.9995141165839780.0009717668320433890.000485883416021694
1670.9993773852232530.001245229553493370.000622614776746686
1680.9999700549815255.98900369506098e-052.99450184753049e-05
1690.9999634372173677.31255652651201e-053.65627826325601e-05
1700.9999487969793230.0001024060413548145.12030206774069e-05
1710.999936482527230.000127034945541116.3517472770555e-05
1720.999909797648610.000180404702780959.0202351390475e-05
1730.9998941684340880.0002116631318244110.000105831565912205
1740.9998628868315120.0002742263369756390.00013711316848782
1750.9999781598657574.36802684863889e-052.18401342431944e-05
1760.9999687520249666.2495950067365e-053.12479750336825e-05
1770.9999584332162568.31335674870695e-054.15667837435347e-05
1780.999940874220740.0001182515585213125.91257792606562e-05
1790.9999465005399330.0001069989201340375.34994600670184e-05
1800.9999233565503520.0001532868992958987.66434496479489e-05
1810.999893221823250.0002135563535003440.000106778176750172
1820.9998484686429040.000303062714192910.000151531357096455
1830.9997914554781570.0004170890436860970.000208544521843048
1840.9998302718079330.0003394563841332340.000169728192066617
1850.9999804397435183.91205129644692e-051.95602564822346e-05
1860.999972400012925.51999741608599e-052.759998708043e-05
1870.9999594135339038.11729321945558e-054.05864660972779e-05
1880.9999433989698830.0001132020602346735.66010301173363e-05
1890.9999203949402860.0001592101194272917.96050597136455e-05
1900.9999985959448162.8081103688183e-061.40405518440915e-06
1910.9999999389345861.22130828296868e-076.10654141484338e-08
1920.9999999058262871.88347425303272e-079.41737126516361e-08
1930.9999998438614843.12277032586535e-071.56138516293267e-07
1940.9999997541383024.91723395641404e-072.45861697820702e-07
1950.9999997617954144.76409171220265e-072.38204585610132e-07
1960.9999996160870087.67825983136442e-073.83912991568221e-07
1970.9999996170283817.65943237546294e-073.82971618773147e-07
1980.9999995072542159.85491570714971e-074.92745785357486e-07
1990.9999992525491031.49490179360643e-067.47450896803213e-07
2000.9999992611857381.47762852394955e-067.38814261974776e-07
2010.9999987953796012.40924079782659e-061.20462039891329e-06
2020.9999995839983268.32003348635822e-074.16001674317911e-07
2030.9999994459899741.10802005238607e-065.54010026193033e-07
2040.9999994033850261.19322994758383e-065.96614973791916e-07
2050.9999990571066081.88578678351025e-069.42893391755123e-07
2060.9999993528695961.29426080878467e-066.47130404392337e-07
2070.9999990533687651.89326246953538e-069.46631234767692e-07
2080.99999847425753.05148499982827e-061.52574249991414e-06
2090.9999978915175184.21696496329082e-062.10848248164541e-06
2100.9999982074543183.58509136496116e-061.79254568248058e-06
2110.9999970539501335.8920997341784e-062.9460498670892e-06
2120.999995368821679.26235665987728e-064.63117832993864e-06
2130.9999925174193641.49651612728504e-057.4825806364252e-06
2140.9999924209818441.51580363125543e-057.57901815627716e-06
2150.9999879422711792.41154576426896e-051.20577288213448e-05
2160.9999944143057621.11713884767249e-055.58569423836247e-06
2170.9999934137521091.31724957821104e-056.58624789105518e-06
2180.9999902988088651.94023822699986e-059.70119113499932e-06
2190.9999854519532262.90960935471113e-051.45480467735557e-05
2200.9999800284816813.99430366372255e-051.99715183186127e-05
2210.9999781355837044.37288325925759e-052.18644162962879e-05
2220.9999833417573753.33164852502561e-051.6658242625128e-05
2230.9999744513322435.10973355134347e-052.55486677567173e-05
2240.9999633754505857.32490988306709e-053.66245494153355e-05
2250.9999427538185140.0001144923629719935.72461814859965e-05
2260.999935325495980.0001293490080379326.46745040189662e-05
2270.9999620608001657.58783996704638e-053.79391998352319e-05
2280.9999693359629046.13280741924832e-053.06640370962416e-05
2290.999953705519539.25889609407516e-054.62944804703758e-05
2300.999983291137423.34177251598997e-051.67088625799499e-05
2310.999980320621823.93587563596254e-051.96793781798127e-05
2320.9999674305897286.51388205440392e-053.25694102720196e-05
2330.999960735995387.85280092392591e-053.92640046196296e-05
2340.9999408910350340.0001182179299316555.91089649658277e-05
2350.9999348581343940.0001302837312123486.5141865606174e-05
2360.9998950269467840.0002099461064309940.000104973053215497
2370.9999214508691840.0001570982616321227.8549130816061e-05
2380.9999951073157629.7853684750792e-064.8926842375396e-06
2390.9999921002353271.57995293451951e-057.89976467259755e-06
2400.9999874573932622.50852134754448e-051.25426067377224e-05
2410.9999886912654842.26174690311232e-051.13087345155616e-05
2420.9999868476551692.63046896621817e-051.31523448310908e-05
2430.9999770748949654.58502100694992e-052.29251050347496e-05
2440.9999692682760996.1463447802459e-053.07317239012295e-05
2450.9999501900557539.96198884934825e-054.98099442467413e-05
2460.999921778668310.0001564426633809957.82213316904973e-05
2470.999888141832680.0002237163346380480.000111858167319024
2480.9998082170665530.0003835658668942710.000191782933447135
2490.999684313455980.0006313730880382830.000315686544019142
2500.99950338925970.000993221480598030.000496610740299015
2510.9991913280839420.001617343832115870.000808671916057936
2520.9986938790144660.002612241971067890.00130612098553394
2530.9978914013768780.004217197246243050.00210859862312153
2540.9975286431296330.004942713740735010.00247135687036751
2550.9968867142515720.00622657149685620.0031132857484281
2560.9953051288314610.009389742337076970.00469487116853848
2570.992911781370390.01417643725921840.0070882186296092
2580.9917120959498720.0165758081002570.00828790405012851
2590.9896698896140340.02066022077193230.0103301103859662
2600.9854168132813650.02916637343726910.0145831867186345
2610.9931527918065950.01369441638680950.00684720819340476
2620.995673038622330.008653922755338390.00432696137766919
2630.9933613112085650.01327737758286980.00663868879143489
2640.992869843629250.01426031274149830.00713015637074916
2650.994798118805640.01040376238872060.00520188119436028
2660.9930179734246030.01396405315079360.00698202657539679
2670.9925069801102470.01498603977950540.00749301988975272
2680.9922605018003670.01547899639926580.00773949819963289
2690.9913342121125560.01733157577488830.00866578788744413
2700.9951927750499270.009614449900146580.00480722495007329
2710.9909704167122620.01805916657547560.00902958328773781
2720.9888428228703160.02231435425936720.0111571771296836
2730.9865887121894980.02682257562100340.0134112878105017
2740.9754280754746250.04914384905075060.0245719245253753
2750.9609474589649760.07810508207004790.0390525410350239
2760.939532350073180.120935299853640.0604676499268199
2770.9008892579500560.1982214840998890.0991107420499444
2780.8376020190796360.3247959618407280.162397980920364
2790.878088432474060.2438231350518810.12191156752594
2800.7966258479759450.4067483040481110.203374152024055
2810.8072468047844010.3855063904311980.192753195215599
2820.8652660710252520.2694678579494950.134733928974748

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
7 & 0.81663820166195 & 0.366723596676099 & 0.183361798338049 \tabularnewline
8 & 0.876103572457608 & 0.247792855084784 & 0.123896427542392 \tabularnewline
9 & 0.821392837060812 & 0.357214325878376 & 0.178607162939188 \tabularnewline
10 & 0.792351871169103 & 0.415296257661794 & 0.207648128830897 \tabularnewline
11 & 0.77677723091778 & 0.446445538164439 & 0.223222769082219 \tabularnewline
12 & 0.711571110784033 & 0.576857778431935 & 0.288428889215967 \tabularnewline
13 & 0.679539099484598 & 0.640921801030803 & 0.320460900515402 \tabularnewline
14 & 0.5915860516261 & 0.816827896747801 & 0.4084139483739 \tabularnewline
15 & 0.52287654915534 & 0.95424690168932 & 0.47712345084466 \tabularnewline
16 & 0.781922196335394 & 0.436155607329212 & 0.218077803664606 \tabularnewline
17 & 0.725756123418194 & 0.548487753163612 & 0.274243876581806 \tabularnewline
18 & 0.787990064304921 & 0.424019871390157 & 0.212009935695079 \tabularnewline
19 & 0.886937210064426 & 0.226125579871148 & 0.113062789935574 \tabularnewline
20 & 0.850656934406828 & 0.298686131186345 & 0.149343065593172 \tabularnewline
21 & 0.881714187835424 & 0.236571624329153 & 0.118285812164576 \tabularnewline
22 & 0.846736457747835 & 0.30652708450433 & 0.153263542252165 \tabularnewline
23 & 0.812972525625686 & 0.374054948748628 & 0.187027474374314 \tabularnewline
24 & 0.788814242227895 & 0.422371515544211 & 0.211185757772105 \tabularnewline
25 & 0.93107741073284 & 0.137845178534322 & 0.068922589267161 \tabularnewline
26 & 0.914901126775673 & 0.170197746448653 & 0.0850988732243265 \tabularnewline
27 & 0.906064306036013 & 0.187871387927974 & 0.0939356939639868 \tabularnewline
28 & 0.889036803156249 & 0.221926393687502 & 0.110963196843751 \tabularnewline
29 & 0.88491256126756 & 0.230174877464881 & 0.11508743873244 \tabularnewline
30 & 0.86002953522685 & 0.2799409295463 & 0.13997046477315 \tabularnewline
31 & 0.827642184812379 & 0.344715630375243 & 0.172357815187621 \tabularnewline
32 & 0.847291484322393 & 0.305417031355213 & 0.152708515677607 \tabularnewline
33 & 0.839696015279563 & 0.320607969440874 & 0.160303984720437 \tabularnewline
34 & 0.83879102198596 & 0.32241795602808 & 0.16120897801404 \tabularnewline
35 & 0.857371022577793 & 0.285257954844414 & 0.142628977422207 \tabularnewline
36 & 0.84105440719657 & 0.31789118560686 & 0.15894559280343 \tabularnewline
37 & 0.814473715855488 & 0.371052568289025 & 0.185526284144512 \tabularnewline
38 & 0.805831989213708 & 0.388336021572584 & 0.194168010786292 \tabularnewline
39 & 0.76924988816711 & 0.461500223665779 & 0.230750111832889 \tabularnewline
40 & 0.763413894848103 & 0.473172210303795 & 0.236586105151897 \tabularnewline
41 & 0.782884782137803 & 0.434230435724394 & 0.217115217862197 \tabularnewline
42 & 0.746526797361662 & 0.506946405276676 & 0.253473202638338 \tabularnewline
43 & 0.73123022537809 & 0.537539549243821 & 0.268769774621911 \tabularnewline
44 & 0.713958466211607 & 0.572083067576786 & 0.286041533788393 \tabularnewline
45 & 0.688428989716682 & 0.623142020566636 & 0.311571010283318 \tabularnewline
46 & 0.687487546668925 & 0.625024906662151 & 0.312512453331075 \tabularnewline
47 & 0.67005003056711 & 0.659899938865778 & 0.329949969432889 \tabularnewline
48 & 0.628316314894404 & 0.743367370211193 & 0.371683685105596 \tabularnewline
49 & 0.588416284425787 & 0.823167431148426 & 0.411583715574213 \tabularnewline
50 & 0.999441840972966 & 0.00111631805406764 & 0.000558159027033822 \tabularnewline
51 & 0.99926621758618 & 0.00146756482763916 & 0.000733782413819582 \tabularnewline
52 & 0.999009969703354 & 0.00198006059329296 & 0.000990030296646478 \tabularnewline
53 & 0.999081315118534 & 0.00183736976293206 & 0.000918684881466032 \tabularnewline
54 & 0.998781144028234 & 0.00243771194353252 & 0.00121885597176626 \tabularnewline
55 & 0.998658371498376 & 0.00268325700324831 & 0.00134162850162416 \tabularnewline
56 & 0.998429261986992 & 0.00314147602601674 & 0.00157073801300837 \tabularnewline
57 & 0.997877070503363 & 0.00424585899327464 & 0.00212292949663732 \tabularnewline
58 & 0.997164316172106 & 0.00567136765578714 & 0.00283568382789357 \tabularnewline
59 & 0.996760023584596 & 0.00647995283080884 & 0.00323997641540442 \tabularnewline
60 & 0.995626026848218 & 0.00874794630356357 & 0.00437397315178178 \tabularnewline
61 & 0.994173332481254 & 0.0116533350374929 & 0.00582666751874647 \tabularnewline
62 & 0.995520185397003 & 0.00895962920599392 & 0.00447981460299696 \tabularnewline
63 & 0.994103562946473 & 0.0117928741070546 & 0.00589643705352731 \tabularnewline
64 & 0.99227163410446 & 0.0154567317910785 & 0.00772836589553923 \tabularnewline
65 & 0.990914242245948 & 0.0181715155081032 & 0.00908575775405162 \tabularnewline
66 & 0.988732242213922 & 0.0225355155721555 & 0.0112677577860778 \tabularnewline
67 & 0.986198563447519 & 0.0276028731049617 & 0.0138014365524808 \tabularnewline
68 & 0.982424145847393 & 0.0351517083052149 & 0.0175758541526074 \tabularnewline
69 & 0.982848837101548 & 0.0343023257969042 & 0.0171511628984521 \tabularnewline
70 & 0.9950854771329 & 0.00982904573419855 & 0.00491452286709927 \tabularnewline
71 & 0.994361907764685 & 0.0112761844706302 & 0.00563809223531511 \tabularnewline
72 & 0.992804290574258 & 0.0143914188514844 & 0.00719570942574218 \tabularnewline
73 & 0.991727031922464 & 0.0165459361550723 & 0.00827296807753615 \tabularnewline
74 & 0.99357449777728 & 0.012851004445442 & 0.00642550222272099 \tabularnewline
75 & 0.991867567335637 & 0.0162648653287252 & 0.0081324326643626 \tabularnewline
76 & 0.989553280497583 & 0.020893439004834 & 0.010446719502417 \tabularnewline
77 & 0.987045885779514 & 0.0259082284409713 & 0.0129541142204856 \tabularnewline
78 & 0.986597713550442 & 0.0268045728991165 & 0.0134022864495583 \tabularnewline
79 & 0.983143889054352 & 0.0337122218912969 & 0.0168561109456484 \tabularnewline
80 & 0.98855165709647 & 0.0228966858070618 & 0.0114483429035309 \tabularnewline
81 & 0.989009763920048 & 0.0219804721599042 & 0.0109902360799521 \tabularnewline
82 & 0.98937307759106 & 0.0212538448178817 & 0.0106269224089409 \tabularnewline
83 & 0.98681507292266 & 0.0263698541546804 & 0.0131849270773402 \tabularnewline
84 & 0.984934627438756 & 0.0301307451224881 & 0.015065372561244 \tabularnewline
85 & 0.981481563697166 & 0.0370368726056673 & 0.0185184363028337 \tabularnewline
86 & 0.982534525094248 & 0.0349309498115035 & 0.0174654749057517 \tabularnewline
87 & 0.978561054121314 & 0.0428778917573717 & 0.0214389458786858 \tabularnewline
88 & 0.973750762567254 & 0.0524984748654911 & 0.0262492374327455 \tabularnewline
89 & 0.97910507494717 & 0.0417898501056586 & 0.0208949250528293 \tabularnewline
90 & 0.981161097000835 & 0.0376778059983304 & 0.0188389029991652 \tabularnewline
91 & 0.99535665673767 & 0.00928668652466042 & 0.00464334326233021 \tabularnewline
92 & 0.994154164552089 & 0.0116916708958227 & 0.00584583544791135 \tabularnewline
93 & 0.992556950604728 & 0.0148860987905435 & 0.00744304939527175 \tabularnewline
94 & 0.993448024807455 & 0.0131039503850903 & 0.00655197519254515 \tabularnewline
95 & 0.992906296837434 & 0.014187406325131 & 0.00709370316256551 \tabularnewline
96 & 0.99144673262553 & 0.0171065347489389 & 0.00855326737446944 \tabularnewline
97 & 0.999434691679715 & 0.00113061664056917 & 0.000565308320284587 \tabularnewline
98 & 0.999511401513735 & 0.000977196972530969 & 0.000488598486265484 \tabularnewline
99 & 0.99989356857835 & 0.000212862843300334 & 0.000106431421650167 \tabularnewline
100 & 0.999889289985635 & 0.00022142002872991 & 0.000110710014364955 \tabularnewline
101 & 0.99984820721273 & 0.000303585574541638 & 0.000151792787270819 \tabularnewline
102 & 0.999852214542176 & 0.000295570915647167 & 0.000147785457823584 \tabularnewline
103 & 0.99980782407617 & 0.000384351847659113 & 0.000192175923829556 \tabularnewline
104 & 0.999843296344512 & 0.000313407310976274 & 0.000156703655488137 \tabularnewline
105 & 0.99980963192667 & 0.000380736146659849 & 0.000190368073329924 \tabularnewline
106 & 0.99978735075748 & 0.000425298485040402 & 0.000212649242520201 \tabularnewline
107 & 0.999940323233607 & 0.000119353532786795 & 5.96767663933977e-05 \tabularnewline
108 & 0.999966070484472 & 6.78590310552094e-05 & 3.39295155276047e-05 \tabularnewline
109 & 0.999951870670935 & 9.62586581303453e-05 & 4.81293290651727e-05 \tabularnewline
110 & 0.999940884551962 & 0.000118230896075334 & 5.91154480376668e-05 \tabularnewline
111 & 0.999917234058188 & 0.000165531883623644 & 8.2765941811822e-05 \tabularnewline
112 & 0.999997035855092 & 5.92828981687485e-06 & 2.96414490843743e-06 \tabularnewline
113 & 0.999996679880211 & 6.64023957733243e-06 & 3.32011978866622e-06 \tabularnewline
114 & 0.99999926384074 & 1.47231851781965e-06 & 7.36159258909827e-07 \tabularnewline
115 & 0.999999870802832 & 2.58394335761875e-07 & 1.29197167880937e-07 \tabularnewline
116 & 0.99999981586834 & 3.68263321059623e-07 & 1.84131660529812e-07 \tabularnewline
117 & 0.999999713855138 & 5.7228972490436e-07 & 2.8614486245218e-07 \tabularnewline
118 & 0.999999556997943 & 8.86004114951397e-07 & 4.43002057475699e-07 \tabularnewline
119 & 0.999999321233492 & 1.35753301691992e-06 & 6.78766508459962e-07 \tabularnewline
120 & 0.999999085755674 & 1.82848865257958e-06 & 9.14244326289789e-07 \tabularnewline
121 & 0.999998683170304 & 2.63365939222986e-06 & 1.31682969611493e-06 \tabularnewline
122 & 0.99999820106679 & 3.59786641780635e-06 & 1.79893320890317e-06 \tabularnewline
123 & 0.999998098831536 & 3.8023369272006e-06 & 1.9011684636003e-06 \tabularnewline
124 & 0.999997297974405 & 5.40405119076501e-06 & 2.70202559538251e-06 \tabularnewline
125 & 0.999997052312024 & 5.8953759520932e-06 & 2.9476879760466e-06 \tabularnewline
126 & 0.999996303758017 & 7.39248396694369e-06 & 3.69624198347184e-06 \tabularnewline
127 & 0.99999479484569 & 1.04103086183439e-05 & 5.20515430917196e-06 \tabularnewline
128 & 0.999996940982704 & 6.11803459246544e-06 & 3.05901729623272e-06 \tabularnewline
129 & 0.99999849801345 & 3.00397309925845e-06 & 1.50198654962922e-06 \tabularnewline
130 & 0.99999775450578 & 4.49098843895912e-06 & 2.24549421947956e-06 \tabularnewline
131 & 0.999996767089371 & 6.4658212584984e-06 & 3.2329106292492e-06 \tabularnewline
132 & 0.999996828494146 & 6.34301170902078e-06 & 3.17150585451039e-06 \tabularnewline
133 & 0.999995280511864 & 9.43897627104524e-06 & 4.71948813552262e-06 \tabularnewline
134 & 0.999993660116475 & 1.26797670492252e-05 & 6.33988352461261e-06 \tabularnewline
135 & 0.99999222714897 & 1.55457020578629e-05 & 7.77285102893147e-06 \tabularnewline
136 & 0.99999718227243 & 5.63545514091604e-06 & 2.81772757045802e-06 \tabularnewline
137 & 0.99999599177653 & 8.01644693908965e-06 & 4.00822346954482e-06 \tabularnewline
138 & 0.999997370204607 & 5.25959078607957e-06 & 2.62979539303979e-06 \tabularnewline
139 & 0.999996193028674 & 7.6139426509996e-06 & 3.8069713254998e-06 \tabularnewline
140 & 0.999995299488226 & 9.40102354855877e-06 & 4.70051177427938e-06 \tabularnewline
141 & 0.999993060306243 & 1.38793875130461e-05 & 6.93969375652305e-06 \tabularnewline
142 & 0.999989806254955 & 2.03874900892494e-05 & 1.01937450446247e-05 \tabularnewline
143 & 0.999985484584516 & 2.90308309679723e-05 & 1.45154154839862e-05 \tabularnewline
144 & 0.999980477586167 & 3.90448276659513e-05 & 1.95224138329756e-05 \tabularnewline
145 & 0.999981867831438 & 3.62643371244651e-05 & 1.81321685622325e-05 \tabularnewline
146 & 0.999980766369117 & 3.8467261765674e-05 & 1.9233630882837e-05 \tabularnewline
147 & 0.999974409837038 & 5.11803259244761e-05 & 2.55901629622381e-05 \tabularnewline
148 & 0.999964356854263 & 7.12862914734888e-05 & 3.56431457367444e-05 \tabularnewline
149 & 0.99994935335062 & 0.000101293298758519 & 5.06466493792597e-05 \tabularnewline
150 & 0.999957803983217 & 8.4392033566036e-05 & 4.2196016783018e-05 \tabularnewline
151 & 0.999953539557267 & 9.2920885466774e-05 & 4.6460442733387e-05 \tabularnewline
152 & 0.999942487118727 & 0.000115025762545915 & 5.75128812729577e-05 \tabularnewline
153 & 0.999921649088223 & 0.000156701823553021 & 7.83509117765105e-05 \tabularnewline
154 & 0.999895801244297 & 0.0002083975114065 & 0.00010419875570325 \tabularnewline
155 & 0.999856302113865 & 0.000287395772269928 & 0.000143697886134964 \tabularnewline
156 & 0.999825664899798 & 0.000348670200404458 & 0.000174335100202229 \tabularnewline
157 & 0.999874965500868 & 0.000250068998264581 & 0.000125034499132291 \tabularnewline
158 & 0.999825582640207 & 0.000348834719586491 & 0.000174417359793246 \tabularnewline
159 & 0.999759810852867 & 0.000480378294266355 & 0.000240189147133177 \tabularnewline
160 & 0.999814443808722 & 0.000371112382556025 & 0.000185556191278013 \tabularnewline
161 & 0.999758253428098 & 0.000483493143803739 & 0.000241746571901869 \tabularnewline
162 & 0.99978758476339 & 0.000424830473219276 & 0.000212415236609638 \tabularnewline
163 & 0.999727075899489 & 0.000545848201022247 & 0.000272924100511124 \tabularnewline
164 & 0.999679019333084 & 0.000641961333831232 & 0.000320980666915616 \tabularnewline
165 & 0.999578442456224 & 0.000843115087551107 & 0.000421557543775553 \tabularnewline
166 & 0.999514116583978 & 0.000971766832043389 & 0.000485883416021694 \tabularnewline
167 & 0.999377385223253 & 0.00124522955349337 & 0.000622614776746686 \tabularnewline
168 & 0.999970054981525 & 5.98900369506098e-05 & 2.99450184753049e-05 \tabularnewline
169 & 0.999963437217367 & 7.31255652651201e-05 & 3.65627826325601e-05 \tabularnewline
170 & 0.999948796979323 & 0.000102406041354814 & 5.12030206774069e-05 \tabularnewline
171 & 0.99993648252723 & 0.00012703494554111 & 6.3517472770555e-05 \tabularnewline
172 & 0.99990979764861 & 0.00018040470278095 & 9.0202351390475e-05 \tabularnewline
173 & 0.999894168434088 & 0.000211663131824411 & 0.000105831565912205 \tabularnewline
174 & 0.999862886831512 & 0.000274226336975639 & 0.00013711316848782 \tabularnewline
175 & 0.999978159865757 & 4.36802684863889e-05 & 2.18401342431944e-05 \tabularnewline
176 & 0.999968752024966 & 6.2495950067365e-05 & 3.12479750336825e-05 \tabularnewline
177 & 0.999958433216256 & 8.31335674870695e-05 & 4.15667837435347e-05 \tabularnewline
178 & 0.99994087422074 & 0.000118251558521312 & 5.91257792606562e-05 \tabularnewline
179 & 0.999946500539933 & 0.000106998920134037 & 5.34994600670184e-05 \tabularnewline
180 & 0.999923356550352 & 0.000153286899295898 & 7.66434496479489e-05 \tabularnewline
181 & 0.99989322182325 & 0.000213556353500344 & 0.000106778176750172 \tabularnewline
182 & 0.999848468642904 & 0.00030306271419291 & 0.000151531357096455 \tabularnewline
183 & 0.999791455478157 & 0.000417089043686097 & 0.000208544521843048 \tabularnewline
184 & 0.999830271807933 & 0.000339456384133234 & 0.000169728192066617 \tabularnewline
185 & 0.999980439743518 & 3.91205129644692e-05 & 1.95602564822346e-05 \tabularnewline
186 & 0.99997240001292 & 5.51999741608599e-05 & 2.759998708043e-05 \tabularnewline
187 & 0.999959413533903 & 8.11729321945558e-05 & 4.05864660972779e-05 \tabularnewline
188 & 0.999943398969883 & 0.000113202060234673 & 5.66010301173363e-05 \tabularnewline
189 & 0.999920394940286 & 0.000159210119427291 & 7.96050597136455e-05 \tabularnewline
190 & 0.999998595944816 & 2.8081103688183e-06 & 1.40405518440915e-06 \tabularnewline
191 & 0.999999938934586 & 1.22130828296868e-07 & 6.10654141484338e-08 \tabularnewline
192 & 0.999999905826287 & 1.88347425303272e-07 & 9.41737126516361e-08 \tabularnewline
193 & 0.999999843861484 & 3.12277032586535e-07 & 1.56138516293267e-07 \tabularnewline
194 & 0.999999754138302 & 4.91723395641404e-07 & 2.45861697820702e-07 \tabularnewline
195 & 0.999999761795414 & 4.76409171220265e-07 & 2.38204585610132e-07 \tabularnewline
196 & 0.999999616087008 & 7.67825983136442e-07 & 3.83912991568221e-07 \tabularnewline
197 & 0.999999617028381 & 7.65943237546294e-07 & 3.82971618773147e-07 \tabularnewline
198 & 0.999999507254215 & 9.85491570714971e-07 & 4.92745785357486e-07 \tabularnewline
199 & 0.999999252549103 & 1.49490179360643e-06 & 7.47450896803213e-07 \tabularnewline
200 & 0.999999261185738 & 1.47762852394955e-06 & 7.38814261974776e-07 \tabularnewline
201 & 0.999998795379601 & 2.40924079782659e-06 & 1.20462039891329e-06 \tabularnewline
202 & 0.999999583998326 & 8.32003348635822e-07 & 4.16001674317911e-07 \tabularnewline
203 & 0.999999445989974 & 1.10802005238607e-06 & 5.54010026193033e-07 \tabularnewline
204 & 0.999999403385026 & 1.19322994758383e-06 & 5.96614973791916e-07 \tabularnewline
205 & 0.999999057106608 & 1.88578678351025e-06 & 9.42893391755123e-07 \tabularnewline
206 & 0.999999352869596 & 1.29426080878467e-06 & 6.47130404392337e-07 \tabularnewline
207 & 0.999999053368765 & 1.89326246953538e-06 & 9.46631234767692e-07 \tabularnewline
208 & 0.9999984742575 & 3.05148499982827e-06 & 1.52574249991414e-06 \tabularnewline
209 & 0.999997891517518 & 4.21696496329082e-06 & 2.10848248164541e-06 \tabularnewline
210 & 0.999998207454318 & 3.58509136496116e-06 & 1.79254568248058e-06 \tabularnewline
211 & 0.999997053950133 & 5.8920997341784e-06 & 2.9460498670892e-06 \tabularnewline
212 & 0.99999536882167 & 9.26235665987728e-06 & 4.63117832993864e-06 \tabularnewline
213 & 0.999992517419364 & 1.49651612728504e-05 & 7.4825806364252e-06 \tabularnewline
214 & 0.999992420981844 & 1.51580363125543e-05 & 7.57901815627716e-06 \tabularnewline
215 & 0.999987942271179 & 2.41154576426896e-05 & 1.20577288213448e-05 \tabularnewline
216 & 0.999994414305762 & 1.11713884767249e-05 & 5.58569423836247e-06 \tabularnewline
217 & 0.999993413752109 & 1.31724957821104e-05 & 6.58624789105518e-06 \tabularnewline
218 & 0.999990298808865 & 1.94023822699986e-05 & 9.70119113499932e-06 \tabularnewline
219 & 0.999985451953226 & 2.90960935471113e-05 & 1.45480467735557e-05 \tabularnewline
220 & 0.999980028481681 & 3.99430366372255e-05 & 1.99715183186127e-05 \tabularnewline
221 & 0.999978135583704 & 4.37288325925759e-05 & 2.18644162962879e-05 \tabularnewline
222 & 0.999983341757375 & 3.33164852502561e-05 & 1.6658242625128e-05 \tabularnewline
223 & 0.999974451332243 & 5.10973355134347e-05 & 2.55486677567173e-05 \tabularnewline
224 & 0.999963375450585 & 7.32490988306709e-05 & 3.66245494153355e-05 \tabularnewline
225 & 0.999942753818514 & 0.000114492362971993 & 5.72461814859965e-05 \tabularnewline
226 & 0.99993532549598 & 0.000129349008037932 & 6.46745040189662e-05 \tabularnewline
227 & 0.999962060800165 & 7.58783996704638e-05 & 3.79391998352319e-05 \tabularnewline
228 & 0.999969335962904 & 6.13280741924832e-05 & 3.06640370962416e-05 \tabularnewline
229 & 0.99995370551953 & 9.25889609407516e-05 & 4.62944804703758e-05 \tabularnewline
230 & 0.99998329113742 & 3.34177251598997e-05 & 1.67088625799499e-05 \tabularnewline
231 & 0.99998032062182 & 3.93587563596254e-05 & 1.96793781798127e-05 \tabularnewline
232 & 0.999967430589728 & 6.51388205440392e-05 & 3.25694102720196e-05 \tabularnewline
233 & 0.99996073599538 & 7.85280092392591e-05 & 3.92640046196296e-05 \tabularnewline
234 & 0.999940891035034 & 0.000118217929931655 & 5.91089649658277e-05 \tabularnewline
235 & 0.999934858134394 & 0.000130283731212348 & 6.5141865606174e-05 \tabularnewline
236 & 0.999895026946784 & 0.000209946106430994 & 0.000104973053215497 \tabularnewline
237 & 0.999921450869184 & 0.000157098261632122 & 7.8549130816061e-05 \tabularnewline
238 & 0.999995107315762 & 9.7853684750792e-06 & 4.8926842375396e-06 \tabularnewline
239 & 0.999992100235327 & 1.57995293451951e-05 & 7.89976467259755e-06 \tabularnewline
240 & 0.999987457393262 & 2.50852134754448e-05 & 1.25426067377224e-05 \tabularnewline
241 & 0.999988691265484 & 2.26174690311232e-05 & 1.13087345155616e-05 \tabularnewline
242 & 0.999986847655169 & 2.63046896621817e-05 & 1.31523448310908e-05 \tabularnewline
243 & 0.999977074894965 & 4.58502100694992e-05 & 2.29251050347496e-05 \tabularnewline
244 & 0.999969268276099 & 6.1463447802459e-05 & 3.07317239012295e-05 \tabularnewline
245 & 0.999950190055753 & 9.96198884934825e-05 & 4.98099442467413e-05 \tabularnewline
246 & 0.99992177866831 & 0.000156442663380995 & 7.82213316904973e-05 \tabularnewline
247 & 0.99988814183268 & 0.000223716334638048 & 0.000111858167319024 \tabularnewline
248 & 0.999808217066553 & 0.000383565866894271 & 0.000191782933447135 \tabularnewline
249 & 0.99968431345598 & 0.000631373088038283 & 0.000315686544019142 \tabularnewline
250 & 0.9995033892597 & 0.00099322148059803 & 0.000496610740299015 \tabularnewline
251 & 0.999191328083942 & 0.00161734383211587 & 0.000808671916057936 \tabularnewline
252 & 0.998693879014466 & 0.00261224197106789 & 0.00130612098553394 \tabularnewline
253 & 0.997891401376878 & 0.00421719724624305 & 0.00210859862312153 \tabularnewline
254 & 0.997528643129633 & 0.00494271374073501 & 0.00247135687036751 \tabularnewline
255 & 0.996886714251572 & 0.0062265714968562 & 0.0031132857484281 \tabularnewline
256 & 0.995305128831461 & 0.00938974233707697 & 0.00469487116853848 \tabularnewline
257 & 0.99291178137039 & 0.0141764372592184 & 0.0070882186296092 \tabularnewline
258 & 0.991712095949872 & 0.016575808100257 & 0.00828790405012851 \tabularnewline
259 & 0.989669889614034 & 0.0206602207719323 & 0.0103301103859662 \tabularnewline
260 & 0.985416813281365 & 0.0291663734372691 & 0.0145831867186345 \tabularnewline
261 & 0.993152791806595 & 0.0136944163868095 & 0.00684720819340476 \tabularnewline
262 & 0.99567303862233 & 0.00865392275533839 & 0.00432696137766919 \tabularnewline
263 & 0.993361311208565 & 0.0132773775828698 & 0.00663868879143489 \tabularnewline
264 & 0.99286984362925 & 0.0142603127414983 & 0.00713015637074916 \tabularnewline
265 & 0.99479811880564 & 0.0104037623887206 & 0.00520188119436028 \tabularnewline
266 & 0.993017973424603 & 0.0139640531507936 & 0.00698202657539679 \tabularnewline
267 & 0.992506980110247 & 0.0149860397795054 & 0.00749301988975272 \tabularnewline
268 & 0.992260501800367 & 0.0154789963992658 & 0.00773949819963289 \tabularnewline
269 & 0.991334212112556 & 0.0173315757748883 & 0.00866578788744413 \tabularnewline
270 & 0.995192775049927 & 0.00961444990014658 & 0.00480722495007329 \tabularnewline
271 & 0.990970416712262 & 0.0180591665754756 & 0.00902958328773781 \tabularnewline
272 & 0.988842822870316 & 0.0223143542593672 & 0.0111571771296836 \tabularnewline
273 & 0.986588712189498 & 0.0268225756210034 & 0.0134112878105017 \tabularnewline
274 & 0.975428075474625 & 0.0491438490507506 & 0.0245719245253753 \tabularnewline
275 & 0.960947458964976 & 0.0781050820700479 & 0.0390525410350239 \tabularnewline
276 & 0.93953235007318 & 0.12093529985364 & 0.0604676499268199 \tabularnewline
277 & 0.900889257950056 & 0.198221484099889 & 0.0991107420499444 \tabularnewline
278 & 0.837602019079636 & 0.324795961840728 & 0.162397980920364 \tabularnewline
279 & 0.87808843247406 & 0.243823135051881 & 0.12191156752594 \tabularnewline
280 & 0.796625847975945 & 0.406748304048111 & 0.203374152024055 \tabularnewline
281 & 0.807246804784401 & 0.385506390431198 & 0.192753195215599 \tabularnewline
282 & 0.865266071025252 & 0.269467857949495 & 0.134733928974748 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159748&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]7[/C][C]0.81663820166195[/C][C]0.366723596676099[/C][C]0.183361798338049[/C][/ROW]
[ROW][C]8[/C][C]0.876103572457608[/C][C]0.247792855084784[/C][C]0.123896427542392[/C][/ROW]
[ROW][C]9[/C][C]0.821392837060812[/C][C]0.357214325878376[/C][C]0.178607162939188[/C][/ROW]
[ROW][C]10[/C][C]0.792351871169103[/C][C]0.415296257661794[/C][C]0.207648128830897[/C][/ROW]
[ROW][C]11[/C][C]0.77677723091778[/C][C]0.446445538164439[/C][C]0.223222769082219[/C][/ROW]
[ROW][C]12[/C][C]0.711571110784033[/C][C]0.576857778431935[/C][C]0.288428889215967[/C][/ROW]
[ROW][C]13[/C][C]0.679539099484598[/C][C]0.640921801030803[/C][C]0.320460900515402[/C][/ROW]
[ROW][C]14[/C][C]0.5915860516261[/C][C]0.816827896747801[/C][C]0.4084139483739[/C][/ROW]
[ROW][C]15[/C][C]0.52287654915534[/C][C]0.95424690168932[/C][C]0.47712345084466[/C][/ROW]
[ROW][C]16[/C][C]0.781922196335394[/C][C]0.436155607329212[/C][C]0.218077803664606[/C][/ROW]
[ROW][C]17[/C][C]0.725756123418194[/C][C]0.548487753163612[/C][C]0.274243876581806[/C][/ROW]
[ROW][C]18[/C][C]0.787990064304921[/C][C]0.424019871390157[/C][C]0.212009935695079[/C][/ROW]
[ROW][C]19[/C][C]0.886937210064426[/C][C]0.226125579871148[/C][C]0.113062789935574[/C][/ROW]
[ROW][C]20[/C][C]0.850656934406828[/C][C]0.298686131186345[/C][C]0.149343065593172[/C][/ROW]
[ROW][C]21[/C][C]0.881714187835424[/C][C]0.236571624329153[/C][C]0.118285812164576[/C][/ROW]
[ROW][C]22[/C][C]0.846736457747835[/C][C]0.30652708450433[/C][C]0.153263542252165[/C][/ROW]
[ROW][C]23[/C][C]0.812972525625686[/C][C]0.374054948748628[/C][C]0.187027474374314[/C][/ROW]
[ROW][C]24[/C][C]0.788814242227895[/C][C]0.422371515544211[/C][C]0.211185757772105[/C][/ROW]
[ROW][C]25[/C][C]0.93107741073284[/C][C]0.137845178534322[/C][C]0.068922589267161[/C][/ROW]
[ROW][C]26[/C][C]0.914901126775673[/C][C]0.170197746448653[/C][C]0.0850988732243265[/C][/ROW]
[ROW][C]27[/C][C]0.906064306036013[/C][C]0.187871387927974[/C][C]0.0939356939639868[/C][/ROW]
[ROW][C]28[/C][C]0.889036803156249[/C][C]0.221926393687502[/C][C]0.110963196843751[/C][/ROW]
[ROW][C]29[/C][C]0.88491256126756[/C][C]0.230174877464881[/C][C]0.11508743873244[/C][/ROW]
[ROW][C]30[/C][C]0.86002953522685[/C][C]0.2799409295463[/C][C]0.13997046477315[/C][/ROW]
[ROW][C]31[/C][C]0.827642184812379[/C][C]0.344715630375243[/C][C]0.172357815187621[/C][/ROW]
[ROW][C]32[/C][C]0.847291484322393[/C][C]0.305417031355213[/C][C]0.152708515677607[/C][/ROW]
[ROW][C]33[/C][C]0.839696015279563[/C][C]0.320607969440874[/C][C]0.160303984720437[/C][/ROW]
[ROW][C]34[/C][C]0.83879102198596[/C][C]0.32241795602808[/C][C]0.16120897801404[/C][/ROW]
[ROW][C]35[/C][C]0.857371022577793[/C][C]0.285257954844414[/C][C]0.142628977422207[/C][/ROW]
[ROW][C]36[/C][C]0.84105440719657[/C][C]0.31789118560686[/C][C]0.15894559280343[/C][/ROW]
[ROW][C]37[/C][C]0.814473715855488[/C][C]0.371052568289025[/C][C]0.185526284144512[/C][/ROW]
[ROW][C]38[/C][C]0.805831989213708[/C][C]0.388336021572584[/C][C]0.194168010786292[/C][/ROW]
[ROW][C]39[/C][C]0.76924988816711[/C][C]0.461500223665779[/C][C]0.230750111832889[/C][/ROW]
[ROW][C]40[/C][C]0.763413894848103[/C][C]0.473172210303795[/C][C]0.236586105151897[/C][/ROW]
[ROW][C]41[/C][C]0.782884782137803[/C][C]0.434230435724394[/C][C]0.217115217862197[/C][/ROW]
[ROW][C]42[/C][C]0.746526797361662[/C][C]0.506946405276676[/C][C]0.253473202638338[/C][/ROW]
[ROW][C]43[/C][C]0.73123022537809[/C][C]0.537539549243821[/C][C]0.268769774621911[/C][/ROW]
[ROW][C]44[/C][C]0.713958466211607[/C][C]0.572083067576786[/C][C]0.286041533788393[/C][/ROW]
[ROW][C]45[/C][C]0.688428989716682[/C][C]0.623142020566636[/C][C]0.311571010283318[/C][/ROW]
[ROW][C]46[/C][C]0.687487546668925[/C][C]0.625024906662151[/C][C]0.312512453331075[/C][/ROW]
[ROW][C]47[/C][C]0.67005003056711[/C][C]0.659899938865778[/C][C]0.329949969432889[/C][/ROW]
[ROW][C]48[/C][C]0.628316314894404[/C][C]0.743367370211193[/C][C]0.371683685105596[/C][/ROW]
[ROW][C]49[/C][C]0.588416284425787[/C][C]0.823167431148426[/C][C]0.411583715574213[/C][/ROW]
[ROW][C]50[/C][C]0.999441840972966[/C][C]0.00111631805406764[/C][C]0.000558159027033822[/C][/ROW]
[ROW][C]51[/C][C]0.99926621758618[/C][C]0.00146756482763916[/C][C]0.000733782413819582[/C][/ROW]
[ROW][C]52[/C][C]0.999009969703354[/C][C]0.00198006059329296[/C][C]0.000990030296646478[/C][/ROW]
[ROW][C]53[/C][C]0.999081315118534[/C][C]0.00183736976293206[/C][C]0.000918684881466032[/C][/ROW]
[ROW][C]54[/C][C]0.998781144028234[/C][C]0.00243771194353252[/C][C]0.00121885597176626[/C][/ROW]
[ROW][C]55[/C][C]0.998658371498376[/C][C]0.00268325700324831[/C][C]0.00134162850162416[/C][/ROW]
[ROW][C]56[/C][C]0.998429261986992[/C][C]0.00314147602601674[/C][C]0.00157073801300837[/C][/ROW]
[ROW][C]57[/C][C]0.997877070503363[/C][C]0.00424585899327464[/C][C]0.00212292949663732[/C][/ROW]
[ROW][C]58[/C][C]0.997164316172106[/C][C]0.00567136765578714[/C][C]0.00283568382789357[/C][/ROW]
[ROW][C]59[/C][C]0.996760023584596[/C][C]0.00647995283080884[/C][C]0.00323997641540442[/C][/ROW]
[ROW][C]60[/C][C]0.995626026848218[/C][C]0.00874794630356357[/C][C]0.00437397315178178[/C][/ROW]
[ROW][C]61[/C][C]0.994173332481254[/C][C]0.0116533350374929[/C][C]0.00582666751874647[/C][/ROW]
[ROW][C]62[/C][C]0.995520185397003[/C][C]0.00895962920599392[/C][C]0.00447981460299696[/C][/ROW]
[ROW][C]63[/C][C]0.994103562946473[/C][C]0.0117928741070546[/C][C]0.00589643705352731[/C][/ROW]
[ROW][C]64[/C][C]0.99227163410446[/C][C]0.0154567317910785[/C][C]0.00772836589553923[/C][/ROW]
[ROW][C]65[/C][C]0.990914242245948[/C][C]0.0181715155081032[/C][C]0.00908575775405162[/C][/ROW]
[ROW][C]66[/C][C]0.988732242213922[/C][C]0.0225355155721555[/C][C]0.0112677577860778[/C][/ROW]
[ROW][C]67[/C][C]0.986198563447519[/C][C]0.0276028731049617[/C][C]0.0138014365524808[/C][/ROW]
[ROW][C]68[/C][C]0.982424145847393[/C][C]0.0351517083052149[/C][C]0.0175758541526074[/C][/ROW]
[ROW][C]69[/C][C]0.982848837101548[/C][C]0.0343023257969042[/C][C]0.0171511628984521[/C][/ROW]
[ROW][C]70[/C][C]0.9950854771329[/C][C]0.00982904573419855[/C][C]0.00491452286709927[/C][/ROW]
[ROW][C]71[/C][C]0.994361907764685[/C][C]0.0112761844706302[/C][C]0.00563809223531511[/C][/ROW]
[ROW][C]72[/C][C]0.992804290574258[/C][C]0.0143914188514844[/C][C]0.00719570942574218[/C][/ROW]
[ROW][C]73[/C][C]0.991727031922464[/C][C]0.0165459361550723[/C][C]0.00827296807753615[/C][/ROW]
[ROW][C]74[/C][C]0.99357449777728[/C][C]0.012851004445442[/C][C]0.00642550222272099[/C][/ROW]
[ROW][C]75[/C][C]0.991867567335637[/C][C]0.0162648653287252[/C][C]0.0081324326643626[/C][/ROW]
[ROW][C]76[/C][C]0.989553280497583[/C][C]0.020893439004834[/C][C]0.010446719502417[/C][/ROW]
[ROW][C]77[/C][C]0.987045885779514[/C][C]0.0259082284409713[/C][C]0.0129541142204856[/C][/ROW]
[ROW][C]78[/C][C]0.986597713550442[/C][C]0.0268045728991165[/C][C]0.0134022864495583[/C][/ROW]
[ROW][C]79[/C][C]0.983143889054352[/C][C]0.0337122218912969[/C][C]0.0168561109456484[/C][/ROW]
[ROW][C]80[/C][C]0.98855165709647[/C][C]0.0228966858070618[/C][C]0.0114483429035309[/C][/ROW]
[ROW][C]81[/C][C]0.989009763920048[/C][C]0.0219804721599042[/C][C]0.0109902360799521[/C][/ROW]
[ROW][C]82[/C][C]0.98937307759106[/C][C]0.0212538448178817[/C][C]0.0106269224089409[/C][/ROW]
[ROW][C]83[/C][C]0.98681507292266[/C][C]0.0263698541546804[/C][C]0.0131849270773402[/C][/ROW]
[ROW][C]84[/C][C]0.984934627438756[/C][C]0.0301307451224881[/C][C]0.015065372561244[/C][/ROW]
[ROW][C]85[/C][C]0.981481563697166[/C][C]0.0370368726056673[/C][C]0.0185184363028337[/C][/ROW]
[ROW][C]86[/C][C]0.982534525094248[/C][C]0.0349309498115035[/C][C]0.0174654749057517[/C][/ROW]
[ROW][C]87[/C][C]0.978561054121314[/C][C]0.0428778917573717[/C][C]0.0214389458786858[/C][/ROW]
[ROW][C]88[/C][C]0.973750762567254[/C][C]0.0524984748654911[/C][C]0.0262492374327455[/C][/ROW]
[ROW][C]89[/C][C]0.97910507494717[/C][C]0.0417898501056586[/C][C]0.0208949250528293[/C][/ROW]
[ROW][C]90[/C][C]0.981161097000835[/C][C]0.0376778059983304[/C][C]0.0188389029991652[/C][/ROW]
[ROW][C]91[/C][C]0.99535665673767[/C][C]0.00928668652466042[/C][C]0.00464334326233021[/C][/ROW]
[ROW][C]92[/C][C]0.994154164552089[/C][C]0.0116916708958227[/C][C]0.00584583544791135[/C][/ROW]
[ROW][C]93[/C][C]0.992556950604728[/C][C]0.0148860987905435[/C][C]0.00744304939527175[/C][/ROW]
[ROW][C]94[/C][C]0.993448024807455[/C][C]0.0131039503850903[/C][C]0.00655197519254515[/C][/ROW]
[ROW][C]95[/C][C]0.992906296837434[/C][C]0.014187406325131[/C][C]0.00709370316256551[/C][/ROW]
[ROW][C]96[/C][C]0.99144673262553[/C][C]0.0171065347489389[/C][C]0.00855326737446944[/C][/ROW]
[ROW][C]97[/C][C]0.999434691679715[/C][C]0.00113061664056917[/C][C]0.000565308320284587[/C][/ROW]
[ROW][C]98[/C][C]0.999511401513735[/C][C]0.000977196972530969[/C][C]0.000488598486265484[/C][/ROW]
[ROW][C]99[/C][C]0.99989356857835[/C][C]0.000212862843300334[/C][C]0.000106431421650167[/C][/ROW]
[ROW][C]100[/C][C]0.999889289985635[/C][C]0.00022142002872991[/C][C]0.000110710014364955[/C][/ROW]
[ROW][C]101[/C][C]0.99984820721273[/C][C]0.000303585574541638[/C][C]0.000151792787270819[/C][/ROW]
[ROW][C]102[/C][C]0.999852214542176[/C][C]0.000295570915647167[/C][C]0.000147785457823584[/C][/ROW]
[ROW][C]103[/C][C]0.99980782407617[/C][C]0.000384351847659113[/C][C]0.000192175923829556[/C][/ROW]
[ROW][C]104[/C][C]0.999843296344512[/C][C]0.000313407310976274[/C][C]0.000156703655488137[/C][/ROW]
[ROW][C]105[/C][C]0.99980963192667[/C][C]0.000380736146659849[/C][C]0.000190368073329924[/C][/ROW]
[ROW][C]106[/C][C]0.99978735075748[/C][C]0.000425298485040402[/C][C]0.000212649242520201[/C][/ROW]
[ROW][C]107[/C][C]0.999940323233607[/C][C]0.000119353532786795[/C][C]5.96767663933977e-05[/C][/ROW]
[ROW][C]108[/C][C]0.999966070484472[/C][C]6.78590310552094e-05[/C][C]3.39295155276047e-05[/C][/ROW]
[ROW][C]109[/C][C]0.999951870670935[/C][C]9.62586581303453e-05[/C][C]4.81293290651727e-05[/C][/ROW]
[ROW][C]110[/C][C]0.999940884551962[/C][C]0.000118230896075334[/C][C]5.91154480376668e-05[/C][/ROW]
[ROW][C]111[/C][C]0.999917234058188[/C][C]0.000165531883623644[/C][C]8.2765941811822e-05[/C][/ROW]
[ROW][C]112[/C][C]0.999997035855092[/C][C]5.92828981687485e-06[/C][C]2.96414490843743e-06[/C][/ROW]
[ROW][C]113[/C][C]0.999996679880211[/C][C]6.64023957733243e-06[/C][C]3.32011978866622e-06[/C][/ROW]
[ROW][C]114[/C][C]0.99999926384074[/C][C]1.47231851781965e-06[/C][C]7.36159258909827e-07[/C][/ROW]
[ROW][C]115[/C][C]0.999999870802832[/C][C]2.58394335761875e-07[/C][C]1.29197167880937e-07[/C][/ROW]
[ROW][C]116[/C][C]0.99999981586834[/C][C]3.68263321059623e-07[/C][C]1.84131660529812e-07[/C][/ROW]
[ROW][C]117[/C][C]0.999999713855138[/C][C]5.7228972490436e-07[/C][C]2.8614486245218e-07[/C][/ROW]
[ROW][C]118[/C][C]0.999999556997943[/C][C]8.86004114951397e-07[/C][C]4.43002057475699e-07[/C][/ROW]
[ROW][C]119[/C][C]0.999999321233492[/C][C]1.35753301691992e-06[/C][C]6.78766508459962e-07[/C][/ROW]
[ROW][C]120[/C][C]0.999999085755674[/C][C]1.82848865257958e-06[/C][C]9.14244326289789e-07[/C][/ROW]
[ROW][C]121[/C][C]0.999998683170304[/C][C]2.63365939222986e-06[/C][C]1.31682969611493e-06[/C][/ROW]
[ROW][C]122[/C][C]0.99999820106679[/C][C]3.59786641780635e-06[/C][C]1.79893320890317e-06[/C][/ROW]
[ROW][C]123[/C][C]0.999998098831536[/C][C]3.8023369272006e-06[/C][C]1.9011684636003e-06[/C][/ROW]
[ROW][C]124[/C][C]0.999997297974405[/C][C]5.40405119076501e-06[/C][C]2.70202559538251e-06[/C][/ROW]
[ROW][C]125[/C][C]0.999997052312024[/C][C]5.8953759520932e-06[/C][C]2.9476879760466e-06[/C][/ROW]
[ROW][C]126[/C][C]0.999996303758017[/C][C]7.39248396694369e-06[/C][C]3.69624198347184e-06[/C][/ROW]
[ROW][C]127[/C][C]0.99999479484569[/C][C]1.04103086183439e-05[/C][C]5.20515430917196e-06[/C][/ROW]
[ROW][C]128[/C][C]0.999996940982704[/C][C]6.11803459246544e-06[/C][C]3.05901729623272e-06[/C][/ROW]
[ROW][C]129[/C][C]0.99999849801345[/C][C]3.00397309925845e-06[/C][C]1.50198654962922e-06[/C][/ROW]
[ROW][C]130[/C][C]0.99999775450578[/C][C]4.49098843895912e-06[/C][C]2.24549421947956e-06[/C][/ROW]
[ROW][C]131[/C][C]0.999996767089371[/C][C]6.4658212584984e-06[/C][C]3.2329106292492e-06[/C][/ROW]
[ROW][C]132[/C][C]0.999996828494146[/C][C]6.34301170902078e-06[/C][C]3.17150585451039e-06[/C][/ROW]
[ROW][C]133[/C][C]0.999995280511864[/C][C]9.43897627104524e-06[/C][C]4.71948813552262e-06[/C][/ROW]
[ROW][C]134[/C][C]0.999993660116475[/C][C]1.26797670492252e-05[/C][C]6.33988352461261e-06[/C][/ROW]
[ROW][C]135[/C][C]0.99999222714897[/C][C]1.55457020578629e-05[/C][C]7.77285102893147e-06[/C][/ROW]
[ROW][C]136[/C][C]0.99999718227243[/C][C]5.63545514091604e-06[/C][C]2.81772757045802e-06[/C][/ROW]
[ROW][C]137[/C][C]0.99999599177653[/C][C]8.01644693908965e-06[/C][C]4.00822346954482e-06[/C][/ROW]
[ROW][C]138[/C][C]0.999997370204607[/C][C]5.25959078607957e-06[/C][C]2.62979539303979e-06[/C][/ROW]
[ROW][C]139[/C][C]0.999996193028674[/C][C]7.6139426509996e-06[/C][C]3.8069713254998e-06[/C][/ROW]
[ROW][C]140[/C][C]0.999995299488226[/C][C]9.40102354855877e-06[/C][C]4.70051177427938e-06[/C][/ROW]
[ROW][C]141[/C][C]0.999993060306243[/C][C]1.38793875130461e-05[/C][C]6.93969375652305e-06[/C][/ROW]
[ROW][C]142[/C][C]0.999989806254955[/C][C]2.03874900892494e-05[/C][C]1.01937450446247e-05[/C][/ROW]
[ROW][C]143[/C][C]0.999985484584516[/C][C]2.90308309679723e-05[/C][C]1.45154154839862e-05[/C][/ROW]
[ROW][C]144[/C][C]0.999980477586167[/C][C]3.90448276659513e-05[/C][C]1.95224138329756e-05[/C][/ROW]
[ROW][C]145[/C][C]0.999981867831438[/C][C]3.62643371244651e-05[/C][C]1.81321685622325e-05[/C][/ROW]
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[ROW][C]169[/C][C]0.999963437217367[/C][C]7.31255652651201e-05[/C][C]3.65627826325601e-05[/C][/ROW]
[ROW][C]170[/C][C]0.999948796979323[/C][C]0.000102406041354814[/C][C]5.12030206774069e-05[/C][/ROW]
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[ROW][C]177[/C][C]0.999958433216256[/C][C]8.31335674870695e-05[/C][C]4.15667837435347e-05[/C][/ROW]
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[ROW][C]179[/C][C]0.999946500539933[/C][C]0.000106998920134037[/C][C]5.34994600670184e-05[/C][/ROW]
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[ROW][C]186[/C][C]0.99997240001292[/C][C]5.51999741608599e-05[/C][C]2.759998708043e-05[/C][/ROW]
[ROW][C]187[/C][C]0.999959413533903[/C][C]8.11729321945558e-05[/C][C]4.05864660972779e-05[/C][/ROW]
[ROW][C]188[/C][C]0.999943398969883[/C][C]0.000113202060234673[/C][C]5.66010301173363e-05[/C][/ROW]
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[ROW][C]190[/C][C]0.999998595944816[/C][C]2.8081103688183e-06[/C][C]1.40405518440915e-06[/C][/ROW]
[ROW][C]191[/C][C]0.999999938934586[/C][C]1.22130828296868e-07[/C][C]6.10654141484338e-08[/C][/ROW]
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[ROW][C]197[/C][C]0.999999617028381[/C][C]7.65943237546294e-07[/C][C]3.82971618773147e-07[/C][/ROW]
[ROW][C]198[/C][C]0.999999507254215[/C][C]9.85491570714971e-07[/C][C]4.92745785357486e-07[/C][/ROW]
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[ROW][C]200[/C][C]0.999999261185738[/C][C]1.47762852394955e-06[/C][C]7.38814261974776e-07[/C][/ROW]
[ROW][C]201[/C][C]0.999998795379601[/C][C]2.40924079782659e-06[/C][C]1.20462039891329e-06[/C][/ROW]
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[ROW][C]203[/C][C]0.999999445989974[/C][C]1.10802005238607e-06[/C][C]5.54010026193033e-07[/C][/ROW]
[ROW][C]204[/C][C]0.999999403385026[/C][C]1.19322994758383e-06[/C][C]5.96614973791916e-07[/C][/ROW]
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[ROW][C]208[/C][C]0.9999984742575[/C][C]3.05148499982827e-06[/C][C]1.52574249991414e-06[/C][/ROW]
[ROW][C]209[/C][C]0.999997891517518[/C][C]4.21696496329082e-06[/C][C]2.10848248164541e-06[/C][/ROW]
[ROW][C]210[/C][C]0.999998207454318[/C][C]3.58509136496116e-06[/C][C]1.79254568248058e-06[/C][/ROW]
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[ROW][C]271[/C][C]0.990970416712262[/C][C]0.0180591665754756[/C][C]0.00902958328773781[/C][/ROW]
[ROW][C]272[/C][C]0.988842822870316[/C][C]0.0223143542593672[/C][C]0.0111571771296836[/C][/ROW]
[ROW][C]273[/C][C]0.986588712189498[/C][C]0.0268225756210034[/C][C]0.0134112878105017[/C][/ROW]
[ROW][C]274[/C][C]0.975428075474625[/C][C]0.0491438490507506[/C][C]0.0245719245253753[/C][/ROW]
[ROW][C]275[/C][C]0.960947458964976[/C][C]0.0781050820700479[/C][C]0.0390525410350239[/C][/ROW]
[ROW][C]276[/C][C]0.93953235007318[/C][C]0.12093529985364[/C][C]0.0604676499268199[/C][/ROW]
[ROW][C]277[/C][C]0.900889257950056[/C][C]0.198221484099889[/C][C]0.0991107420499444[/C][/ROW]
[ROW][C]278[/C][C]0.837602019079636[/C][C]0.324795961840728[/C][C]0.162397980920364[/C][/ROW]
[ROW][C]279[/C][C]0.87808843247406[/C][C]0.243823135051881[/C][C]0.12191156752594[/C][/ROW]
[ROW][C]280[/C][C]0.796625847975945[/C][C]0.406748304048111[/C][C]0.203374152024055[/C][/ROW]
[ROW][C]281[/C][C]0.807246804784401[/C][C]0.385506390431198[/C][C]0.192753195215599[/C][/ROW]
[ROW][C]282[/C][C]0.865266071025252[/C][C]0.269467857949495[/C][C]0.134733928974748[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159748&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159748&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.816638201661950.3667235966760990.183361798338049
80.8761035724576080.2477928550847840.123896427542392
90.8213928370608120.3572143258783760.178607162939188
100.7923518711691030.4152962576617940.207648128830897
110.776777230917780.4464455381644390.223222769082219
120.7115711107840330.5768577784319350.288428889215967
130.6795390994845980.6409218010308030.320460900515402
140.59158605162610.8168278967478010.4084139483739
150.522876549155340.954246901689320.47712345084466
160.7819221963353940.4361556073292120.218077803664606
170.7257561234181940.5484877531636120.274243876581806
180.7879900643049210.4240198713901570.212009935695079
190.8869372100644260.2261255798711480.113062789935574
200.8506569344068280.2986861311863450.149343065593172
210.8817141878354240.2365716243291530.118285812164576
220.8467364577478350.306527084504330.153263542252165
230.8129725256256860.3740549487486280.187027474374314
240.7888142422278950.4223715155442110.211185757772105
250.931077410732840.1378451785343220.068922589267161
260.9149011267756730.1701977464486530.0850988732243265
270.9060643060360130.1878713879279740.0939356939639868
280.8890368031562490.2219263936875020.110963196843751
290.884912561267560.2301748774648810.11508743873244
300.860029535226850.27994092954630.13997046477315
310.8276421848123790.3447156303752430.172357815187621
320.8472914843223930.3054170313552130.152708515677607
330.8396960152795630.3206079694408740.160303984720437
340.838791021985960.322417956028080.16120897801404
350.8573710225777930.2852579548444140.142628977422207
360.841054407196570.317891185606860.15894559280343
370.8144737158554880.3710525682890250.185526284144512
380.8058319892137080.3883360215725840.194168010786292
390.769249888167110.4615002236657790.230750111832889
400.7634138948481030.4731722103037950.236586105151897
410.7828847821378030.4342304357243940.217115217862197
420.7465267973616620.5069464052766760.253473202638338
430.731230225378090.5375395492438210.268769774621911
440.7139584662116070.5720830675767860.286041533788393
450.6884289897166820.6231420205666360.311571010283318
460.6874875466689250.6250249066621510.312512453331075
470.670050030567110.6598999388657780.329949969432889
480.6283163148944040.7433673702111930.371683685105596
490.5884162844257870.8231674311484260.411583715574213
500.9994418409729660.001116318054067640.000558159027033822
510.999266217586180.001467564827639160.000733782413819582
520.9990099697033540.001980060593292960.000990030296646478
530.9990813151185340.001837369762932060.000918684881466032
540.9987811440282340.002437711943532520.00121885597176626
550.9986583714983760.002683257003248310.00134162850162416
560.9984292619869920.003141476026016740.00157073801300837
570.9978770705033630.004245858993274640.00212292949663732
580.9971643161721060.005671367655787140.00283568382789357
590.9967600235845960.006479952830808840.00323997641540442
600.9956260268482180.008747946303563570.00437397315178178
610.9941733324812540.01165333503749290.00582666751874647
620.9955201853970030.008959629205993920.00447981460299696
630.9941035629464730.01179287410705460.00589643705352731
640.992271634104460.01545673179107850.00772836589553923
650.9909142422459480.01817151550810320.00908575775405162
660.9887322422139220.02253551557215550.0112677577860778
670.9861985634475190.02760287310496170.0138014365524808
680.9824241458473930.03515170830521490.0175758541526074
690.9828488371015480.03430232579690420.0171511628984521
700.99508547713290.009829045734198550.00491452286709927
710.9943619077646850.01127618447063020.00563809223531511
720.9928042905742580.01439141885148440.00719570942574218
730.9917270319224640.01654593615507230.00827296807753615
740.993574497777280.0128510044454420.00642550222272099
750.9918675673356370.01626486532872520.0081324326643626
760.9895532804975830.0208934390048340.010446719502417
770.9870458857795140.02590822844097130.0129541142204856
780.9865977135504420.02680457289911650.0134022864495583
790.9831438890543520.03371222189129690.0168561109456484
800.988551657096470.02289668580706180.0114483429035309
810.9890097639200480.02198047215990420.0109902360799521
820.989373077591060.02125384481788170.0106269224089409
830.986815072922660.02636985415468040.0131849270773402
840.9849346274387560.03013074512248810.015065372561244
850.9814815636971660.03703687260566730.0185184363028337
860.9825345250942480.03493094981150350.0174654749057517
870.9785610541213140.04287789175737170.0214389458786858
880.9737507625672540.05249847486549110.0262492374327455
890.979105074947170.04178985010565860.0208949250528293
900.9811610970008350.03767780599833040.0188389029991652
910.995356656737670.009286686524660420.00464334326233021
920.9941541645520890.01169167089582270.00584583544791135
930.9925569506047280.01488609879054350.00744304939527175
940.9934480248074550.01310395038509030.00655197519254515
950.9929062968374340.0141874063251310.00709370316256551
960.991446732625530.01710653474893890.00855326737446944
970.9994346916797150.001130616640569170.000565308320284587
980.9995114015137350.0009771969725309690.000488598486265484
990.999893568578350.0002128628433003340.000106431421650167
1000.9998892899856350.000221420028729910.000110710014364955
1010.999848207212730.0003035855745416380.000151792787270819
1020.9998522145421760.0002955709156471670.000147785457823584
1030.999807824076170.0003843518476591130.000192175923829556
1040.9998432963445120.0003134073109762740.000156703655488137
1050.999809631926670.0003807361466598490.000190368073329924
1060.999787350757480.0004252984850404020.000212649242520201
1070.9999403232336070.0001193535327867955.96767663933977e-05
1080.9999660704844726.78590310552094e-053.39295155276047e-05
1090.9999518706709359.62586581303453e-054.81293290651727e-05
1100.9999408845519620.0001182308960753345.91154480376668e-05
1110.9999172340581880.0001655318836236448.2765941811822e-05
1120.9999970358550925.92828981687485e-062.96414490843743e-06
1130.9999966798802116.64023957733243e-063.32011978866622e-06
1140.999999263840741.47231851781965e-067.36159258909827e-07
1150.9999998708028322.58394335761875e-071.29197167880937e-07
1160.999999815868343.68263321059623e-071.84131660529812e-07
1170.9999997138551385.7228972490436e-072.8614486245218e-07
1180.9999995569979438.86004114951397e-074.43002057475699e-07
1190.9999993212334921.35753301691992e-066.78766508459962e-07
1200.9999990857556741.82848865257958e-069.14244326289789e-07
1210.9999986831703042.63365939222986e-061.31682969611493e-06
1220.999998201066793.59786641780635e-061.79893320890317e-06
1230.9999980988315363.8023369272006e-061.9011684636003e-06
1240.9999972979744055.40405119076501e-062.70202559538251e-06
1250.9999970523120245.8953759520932e-062.9476879760466e-06
1260.9999963037580177.39248396694369e-063.69624198347184e-06
1270.999994794845691.04103086183439e-055.20515430917196e-06
1280.9999969409827046.11803459246544e-063.05901729623272e-06
1290.999998498013453.00397309925845e-061.50198654962922e-06
1300.999997754505784.49098843895912e-062.24549421947956e-06
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1330.9999952805118649.43897627104524e-064.71948813552262e-06
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1350.999992227148971.55457020578629e-057.77285102893147e-06
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1380.9999973702046075.25959078607957e-062.62979539303979e-06
1390.9999961930286747.6139426509996e-063.8069713254998e-06
1400.9999952994882269.40102354855877e-064.70051177427938e-06
1410.9999930603062431.38793875130461e-056.93969375652305e-06
1420.9999898062549552.03874900892494e-051.01937450446247e-05
1430.9999854845845162.90308309679723e-051.45154154839862e-05
1440.9999804775861673.90448276659513e-051.95224138329756e-05
1450.9999818678314383.62643371244651e-051.81321685622325e-05
1460.9999807663691173.8467261765674e-051.9233630882837e-05
1470.9999744098370385.11803259244761e-052.55901629622381e-05
1480.9999643568542637.12862914734888e-053.56431457367444e-05
1490.999949353350620.0001012932987585195.06466493792597e-05
1500.9999578039832178.4392033566036e-054.2196016783018e-05
1510.9999535395572679.2920885466774e-054.6460442733387e-05
1520.9999424871187270.0001150257625459155.75128812729577e-05
1530.9999216490882230.0001567018235530217.83509117765105e-05
1540.9998958012442970.00020839751140650.00010419875570325
1550.9998563021138650.0002873957722699280.000143697886134964
1560.9998256648997980.0003486702004044580.000174335100202229
1570.9998749655008680.0002500689982645810.000125034499132291
1580.9998255826402070.0003488347195864910.000174417359793246
1590.9997598108528670.0004803782942663550.000240189147133177
1600.9998144438087220.0003711123825560250.000185556191278013
1610.9997582534280980.0004834931438037390.000241746571901869
1620.999787584763390.0004248304732192760.000212415236609638
1630.9997270758994890.0005458482010222470.000272924100511124
1640.9996790193330840.0006419613338312320.000320980666915616
1650.9995784424562240.0008431150875511070.000421557543775553
1660.9995141165839780.0009717668320433890.000485883416021694
1670.9993773852232530.001245229553493370.000622614776746686
1680.9999700549815255.98900369506098e-052.99450184753049e-05
1690.9999634372173677.31255652651201e-053.65627826325601e-05
1700.9999487969793230.0001024060413548145.12030206774069e-05
1710.999936482527230.000127034945541116.3517472770555e-05
1720.999909797648610.000180404702780959.0202351390475e-05
1730.9998941684340880.0002116631318244110.000105831565912205
1740.9998628868315120.0002742263369756390.00013711316848782
1750.9999781598657574.36802684863889e-052.18401342431944e-05
1760.9999687520249666.2495950067365e-053.12479750336825e-05
1770.9999584332162568.31335674870695e-054.15667837435347e-05
1780.999940874220740.0001182515585213125.91257792606562e-05
1790.9999465005399330.0001069989201340375.34994600670184e-05
1800.9999233565503520.0001532868992958987.66434496479489e-05
1810.999893221823250.0002135563535003440.000106778176750172
1820.9998484686429040.000303062714192910.000151531357096455
1830.9997914554781570.0004170890436860970.000208544521843048
1840.9998302718079330.0003394563841332340.000169728192066617
1850.9999804397435183.91205129644692e-051.95602564822346e-05
1860.999972400012925.51999741608599e-052.759998708043e-05
1870.9999594135339038.11729321945558e-054.05864660972779e-05
1880.9999433989698830.0001132020602346735.66010301173363e-05
1890.9999203949402860.0001592101194272917.96050597136455e-05
1900.9999985959448162.8081103688183e-061.40405518440915e-06
1910.9999999389345861.22130828296868e-076.10654141484338e-08
1920.9999999058262871.88347425303272e-079.41737126516361e-08
1930.9999998438614843.12277032586535e-071.56138516293267e-07
1940.9999997541383024.91723395641404e-072.45861697820702e-07
1950.9999997617954144.76409171220265e-072.38204585610132e-07
1960.9999996160870087.67825983136442e-073.83912991568221e-07
1970.9999996170283817.65943237546294e-073.82971618773147e-07
1980.9999995072542159.85491570714971e-074.92745785357486e-07
1990.9999992525491031.49490179360643e-067.47450896803213e-07
2000.9999992611857381.47762852394955e-067.38814261974776e-07
2010.9999987953796012.40924079782659e-061.20462039891329e-06
2020.9999995839983268.32003348635822e-074.16001674317911e-07
2030.9999994459899741.10802005238607e-065.54010026193033e-07
2040.9999994033850261.19322994758383e-065.96614973791916e-07
2050.9999990571066081.88578678351025e-069.42893391755123e-07
2060.9999993528695961.29426080878467e-066.47130404392337e-07
2070.9999990533687651.89326246953538e-069.46631234767692e-07
2080.99999847425753.05148499982827e-061.52574249991414e-06
2090.9999978915175184.21696496329082e-062.10848248164541e-06
2100.9999982074543183.58509136496116e-061.79254568248058e-06
2110.9999970539501335.8920997341784e-062.9460498670892e-06
2120.999995368821679.26235665987728e-064.63117832993864e-06
2130.9999925174193641.49651612728504e-057.4825806364252e-06
2140.9999924209818441.51580363125543e-057.57901815627716e-06
2150.9999879422711792.41154576426896e-051.20577288213448e-05
2160.9999944143057621.11713884767249e-055.58569423836247e-06
2170.9999934137521091.31724957821104e-056.58624789105518e-06
2180.9999902988088651.94023822699986e-059.70119113499932e-06
2190.9999854519532262.90960935471113e-051.45480467735557e-05
2200.9999800284816813.99430366372255e-051.99715183186127e-05
2210.9999781355837044.37288325925759e-052.18644162962879e-05
2220.9999833417573753.33164852502561e-051.6658242625128e-05
2230.9999744513322435.10973355134347e-052.55486677567173e-05
2240.9999633754505857.32490988306709e-053.66245494153355e-05
2250.9999427538185140.0001144923629719935.72461814859965e-05
2260.999935325495980.0001293490080379326.46745040189662e-05
2270.9999620608001657.58783996704638e-053.79391998352319e-05
2280.9999693359629046.13280741924832e-053.06640370962416e-05
2290.999953705519539.25889609407516e-054.62944804703758e-05
2300.999983291137423.34177251598997e-051.67088625799499e-05
2310.999980320621823.93587563596254e-051.96793781798127e-05
2320.9999674305897286.51388205440392e-053.25694102720196e-05
2330.999960735995387.85280092392591e-053.92640046196296e-05
2340.9999408910350340.0001182179299316555.91089649658277e-05
2350.9999348581343940.0001302837312123486.5141865606174e-05
2360.9998950269467840.0002099461064309940.000104973053215497
2370.9999214508691840.0001570982616321227.8549130816061e-05
2380.9999951073157629.7853684750792e-064.8926842375396e-06
2390.9999921002353271.57995293451951e-057.89976467259755e-06
2400.9999874573932622.50852134754448e-051.25426067377224e-05
2410.9999886912654842.26174690311232e-051.13087345155616e-05
2420.9999868476551692.63046896621817e-051.31523448310908e-05
2430.9999770748949654.58502100694992e-052.29251050347496e-05
2440.9999692682760996.1463447802459e-053.07317239012295e-05
2450.9999501900557539.96198884934825e-054.98099442467413e-05
2460.999921778668310.0001564426633809957.82213316904973e-05
2470.999888141832680.0002237163346380480.000111858167319024
2480.9998082170665530.0003835658668942710.000191782933447135
2490.999684313455980.0006313730880382830.000315686544019142
2500.99950338925970.000993221480598030.000496610740299015
2510.9991913280839420.001617343832115870.000808671916057936
2520.9986938790144660.002612241971067890.00130612098553394
2530.9978914013768780.004217197246243050.00210859862312153
2540.9975286431296330.004942713740735010.00247135687036751
2550.9968867142515720.00622657149685620.0031132857484281
2560.9953051288314610.009389742337076970.00469487116853848
2570.992911781370390.01417643725921840.0070882186296092
2580.9917120959498720.0165758081002570.00828790405012851
2590.9896698896140340.02066022077193230.0103301103859662
2600.9854168132813650.02916637343726910.0145831867186345
2610.9931527918065950.01369441638680950.00684720819340476
2620.995673038622330.008653922755338390.00432696137766919
2630.9933613112085650.01327737758286980.00663868879143489
2640.992869843629250.01426031274149830.00713015637074916
2650.994798118805640.01040376238872060.00520188119436028
2660.9930179734246030.01396405315079360.00698202657539679
2670.9925069801102470.01498603977950540.00749301988975272
2680.9922605018003670.01547899639926580.00773949819963289
2690.9913342121125560.01733157577488830.00866578788744413
2700.9951927750499270.009614449900146580.00480722495007329
2710.9909704167122620.01805916657547560.00902958328773781
2720.9888428228703160.02231435425936720.0111571771296836
2730.9865887121894980.02682257562100340.0134112878105017
2740.9754280754746250.04914384905075060.0245719245253753
2750.9609474589649760.07810508207004790.0390525410350239
2760.939532350073180.120935299853640.0604676499268199
2770.9008892579500560.1982214840998890.0991107420499444
2780.8376020190796360.3247959618407280.162397980920364
2790.878088432474060.2438231350518810.12191156752594
2800.7966258479759450.4067483040481110.203374152024055
2810.8072468047844010.3855063904311980.192753195215599
2820.8652660710252520.2694678579494950.134733928974748






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1760.63768115942029NOK
5% type I error level2240.81159420289855NOK
10% type I error level2260.818840579710145NOK

\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 & 176 & 0.63768115942029 & NOK \tabularnewline
5% type I error level & 224 & 0.81159420289855 & NOK \tabularnewline
10% type I error level & 226 & 0.818840579710145 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159748&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]176[/C][C]0.63768115942029[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]224[/C][C]0.81159420289855[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]226[/C][C]0.818840579710145[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159748&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159748&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1760.63768115942029NOK
5% type I error level2240.81159420289855NOK
10% type I error level2260.818840579710145NOK


Figures (Output of Computation)

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Input Parameters & R Code

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')
}