Multiple Linear Regression - Estimated Regression Equation
CorrectAnalysis[t] = -0.242049295268229 + 0.0903881418092909T40[t] + 0.104572666474903T20[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-0.2420492952682290.161116-1.50230.13510.06755
T400.09038814180929090.0495731.82330.0702330.035116
T200.1045726664749030.0496122.10780.0366990.01835


Multiple Linear Regression - Regression Statistics
Multiple R0.175197167812158
R-squared0.0306940476094016
Adjusted R-squared0.0178555581737644
F-TEST (value)2.39078341445693
F-TEST (DF numerator)2
F-TEST (DF denominator)151
p-value0.0950159285756232
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.266511774540243
Sum Squared Residuals10.725307421257


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
100.16205684596577-0.16205684596577
200.0716687041564791-0.0716687041564791
300.0716687041564792-0.0716687041564792
400.0716687041564792-0.0716687041564792
500.0716687041564792-0.0716687041564792
600.0716687041564792-0.0716687041564792
700.0716687041564792-0.0716687041564792
800.16205684596577-0.16205684596577
900.0716687041564792-0.0716687041564792
1000.0716687041564792-0.0716687041564792
1100.16205684596577-0.16205684596577
1200.0716687041564792-0.0716687041564792
1300.0716687041564792-0.0716687041564792
1400.16205684596577-0.16205684596577
1500.0716687041564792-0.0716687041564792
1600.16205684596577-0.16205684596577
1710.162056845965770.83794315403423
1800.16205684596577-0.16205684596577
1900.0716687041564792-0.0716687041564792
2010.162056845965770.83794315403423
2100.0716687041564792-0.0716687041564792
2200.0716687041564792-0.0716687041564792
2300.0716687041564792-0.0716687041564792
2400.0716687041564792-0.0716687041564792
2500.16205684596577-0.16205684596577
2600.0716687041564792-0.0716687041564792
2700.0716687041564792-0.0716687041564792
2800.0716687041564792-0.0716687041564792
2900.0716687041564792-0.0716687041564792
3000.0716687041564792-0.0716687041564792
3100.0716687041564792-0.0716687041564792
3200.0716687041564792-0.0716687041564792
3300.0716687041564792-0.0716687041564792
3400.16205684596577-0.16205684596577
3500.0716687041564792-0.0716687041564792
3600.0716687041564792-0.0716687041564792
3700.16205684596577-0.16205684596577
3800.0716687041564792-0.0716687041564792
3900.0716687041564792-0.0716687041564792
4000.16205684596577-0.16205684596577
4110.07166870415647930.928331295843521
4200.0716687041564792-0.0716687041564792
4300.0716687041564792-0.0716687041564792
4400.16205684596577-0.16205684596577
4500.0716687041564792-0.0716687041564792
4600.0716687041564792-0.0716687041564792
4700.0716687041564792-0.0716687041564792
4800.0716687041564792-0.0716687041564792
4900.0716687041564792-0.0716687041564792
5000.0716687041564792-0.0716687041564792
5100.16205684596577-0.16205684596577
5210.162056845965770.83794315403423
5300.0716687041564792-0.0716687041564792
5410.07166870415647930.928331295843521
5500.0716687041564792-0.0716687041564792
5600.16205684596577-0.16205684596577
5700.0716687041564792-0.0716687041564792
5800.0716687041564792-0.0716687041564792
5900.0716687041564792-0.0716687041564792
6010.162056845965770.83794315403423
6100.16205684596577-0.16205684596577
6200.0716687041564792-0.0716687041564792
6300.0716687041564792-0.0716687041564792
6400.16205684596577-0.16205684596577
6500.0716687041564792-0.0716687041564792
6600.0716687041564792-0.0716687041564792
6710.162056845965770.83794315403423
6800.0716687041564792-0.0716687041564792
6900.0716687041564792-0.0716687041564792
7000.0716687041564792-0.0716687041564792
7100.0716687041564792-0.0716687041564792
7200.0716687041564792-0.0716687041564792
7300.0716687041564792-0.0716687041564792
7400.0716687041564792-0.0716687041564792
7500.0716687041564792-0.0716687041564792
7600.16205684596577-0.16205684596577
7700.0716687041564792-0.0716687041564792
7800.0716687041564792-0.0716687041564792
7910.162056845965770.83794315403423
8000.16205684596577-0.16205684596577
8100.0716687041564792-0.0716687041564792
8200.0716687041564792-0.0716687041564792
8300.0716687041564792-0.0716687041564792
8410.07166870415647930.928331295843521
8500.0716687041564792-0.0716687041564792
8600.0716687041564792-0.0716687041564792
8700.0291151301596433-0.0291151301596433
8800.133687796634546-0.133687796634546
8900.0291151301596433-0.0291151301596433
9000.0291151301596433-0.0291151301596433
9100.0291151301596433-0.0291151301596433
9200.133687796634546-0.133687796634546
9300.0291151301596433-0.0291151301596433
9400.0291151301596433-0.0291151301596433
9500.133687796634546-0.133687796634546
9600.0291151301596433-0.0291151301596433
9700.133687796634546-0.133687796634546
9800.0291151301596433-0.0291151301596433
9900.0291151301596433-0.0291151301596433
10000.0291151301596433-0.0291151301596433
10100.0291151301596433-0.0291151301596433
10200.0291151301596433-0.0291151301596433
10300.0291151301596433-0.0291151301596433
10400.0291151301596433-0.0291151301596433
10500.133687796634546-0.133687796634546
10600.0291151301596433-0.0291151301596433
10700.0291151301596433-0.0291151301596433
10800.133687796634546-0.133687796634546
10900.0291151301596433-0.0291151301596433
11000.0291151301596433-0.0291151301596433
11100.133687796634546-0.133687796634546
11200.133687796634546-0.133687796634546
11300.0291151301596433-0.0291151301596433
11400.133687796634546-0.133687796634546
11500.0291151301596433-0.0291151301596433
11600.0291151301596433-0.0291151301596433
11700.0291151301596433-0.0291151301596433
11800.0291151301596433-0.0291151301596433
11900.0291151301596433-0.0291151301596433
12000.0291151301596433-0.0291151301596433
12100.0291151301596433-0.0291151301596433
12200.0291151301596433-0.0291151301596433
12300.133687796634546-0.133687796634546
12400.0291151301596433-0.0291151301596433
12500.0291151301596433-0.0291151301596433
12600.133687796634546-0.133687796634546
12700.0291151301596433-0.0291151301596433
12800.0291151301596433-0.0291151301596433
12900.0291151301596433-0.0291151301596433
13000.0291151301596433-0.0291151301596433
13100.0291151301596433-0.0291151301596433
13200.0291151301596433-0.0291151301596433
13300.0291151301596433-0.0291151301596433
13400.0291151301596433-0.0291151301596433
13500.0291151301596433-0.0291151301596433
13600.0291151301596433-0.0291151301596433
13700.0291151301596433-0.0291151301596433
13800.133687796634546-0.133687796634546
13900.133687796634546-0.133687796634546
14000.0291151301596433-0.0291151301596433
14110.02911513015964330.970884869840357
14200.133687796634546-0.133687796634546
14300.0291151301596433-0.0291151301596433
14400.0291151301596433-0.0291151301596433
14500.0291151301596433-0.0291151301596433
14600.133687796634546-0.133687796634546
14700.133687796634546-0.133687796634546
14800.133687796634546-0.133687796634546
14900.0291151301596433-0.0291151301596433
15000.0291151301596433-0.0291151301596433
15100.0291151301596433-0.0291151301596433
15210.02911513015964330.970884869840357
15310.02911513015964330.970884869840357
15400.0291151301596433-0.0291151301596433


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
6001
7001
8001
9001
10001
11001
12001
13001
14001
15001
16001
170.3448685786538510.6897371573077010.655131421346149
180.2978228866049940.5956457732099880.702177113395006
190.2328112780209220.4656225560418450.767188721979078
200.780440662547870.439118674904260.21955933745213
210.7250139340122750.5499721319754510.274986065987726
220.6645608730236870.6708782539526260.335439126976313
230.6006008763296750.798798247340650.399399123670325
240.5348640761335980.9302718477328030.465135923866402
250.5147586678680190.9704826642639610.485241332131981
260.4503149870876840.9006299741753670.549685012912316
270.3879984720544780.7759969441089550.612001527945522
280.3291979437187770.6583958874375550.670802056281223
290.2750093235085260.5500186470170510.724990676491474
300.2261948221252970.4523896442505930.773805177874703
310.1831774491160550.3663548982321090.816822550883945
320.1460656498440530.2921312996881060.853934350155947
330.1147000664874260.2294001329748520.885299933512574
340.1050010547502550.2100021095005110.894998945249745
350.08099452752303260.1619890550460650.919005472476967
360.06156789855927460.1231357971185490.938432101440725
370.05428129345389170.1085625869077830.945718706546108
380.04050715151079480.08101430302158960.959492848489205
390.02981204281812480.05962408563624970.970187957181875
400.02536315294098950.05072630588197890.974636847059011
410.4408638384722080.8817276769444150.559136161527792
420.3910313922160710.7820627844321420.608968607783929
430.3432917749575630.6865835499151270.656708225042437
440.3137654042453150.6275308084906290.686234595754685
450.2709379778674860.5418759557349720.729062022132514
460.231546443077070.4630928861541410.76845355692293
470.1958487341892340.3916974683784680.804151265810766
480.1639642149672890.3279284299345780.836035785032711
490.1358860586095220.2717721172190440.864113941390478
500.1114991815313250.222998363062650.888500818468675
510.09734759983742090.1946951996748420.902652400162579
520.4292879520146850.858575904029370.570712047985315
530.3846619444058240.7693238888116480.615338055594176
540.8546684738213680.2906630523572630.145331526178632
550.8272928029021840.3454143941956320.172707197097816
560.8088920653846880.3822158692306230.191107934615312
570.7770143945207880.4459712109584240.222985605479212
580.7425666861423320.5148666277153350.257433313857668
590.7058450353637250.588309929272550.294154964636275
600.9355261033681580.1289477932636830.0644738966318416
610.9270988210184060.1458023579631880.0729011789815938
620.9107467643230080.1785064713539850.0892532356769923
630.8919782819472330.2160434361055340.108021718052767
640.8792864939906920.2414270120186160.120713506009308
650.856565292689090.286869414621820.14343470731091
660.8314357789729820.3371284420540360.168564221027018
670.9764690357190770.04706192856184640.0235309642809232
680.969846224787780.060307550424440.03015377521222
690.9618465545246640.07630689095067170.0381534454753359
700.9523379511276120.09532409774477690.0476620488723885
710.9412262605493160.1175474789013680.0587737394506839
720.9284774282639350.1430451434721310.0715225717360654
730.9141465423308910.1717069153382180.0858534576691092
740.8984171567734470.2031656864531060.101582843226553
750.8816576576541880.2366846846916230.118342342345812
760.8699851513058420.2600296973883150.130014848694158
770.8524974045154820.2950051909690350.147502595484518
780.8362975219203580.3274049561592840.163702478079642
790.9808976814926760.03820463701464840.0191023185073242
800.9776380886597680.0447238226804640.022361911340232
810.9731020761102840.05379584777943210.026897923889716
820.9692100331564690.06157993368706270.0307899668435314
830.9678669143029310.06426617139413770.0321330856970689
840.9991981451632240.001603709673551420.000801854836775711
850.9988023372532170.002395325493566110.00119766274678305
860.9982330557533390.003533888493322020.00176694424666101
870.9974551725277780.00508965494444450.00254482747222225
880.996528468571420.006943062857159330.00347153142857967
890.9951569991574610.009686001685077870.00484300084253893
900.9932837607062330.01343247858753330.00671623929376663
910.9907795865014080.01844082699718350.00922041349859174
920.9878686793762240.02426264124755280.0121313206237764
930.9837334428544350.03253311429113020.0162665571455651
940.978418521214810.04316295757038050.0215814787851902
950.9722710529176090.05545789416478190.0277289470823909
960.9640312442493120.0719375115013760.035968755750688
970.9544625919704290.09107481605914210.0455374080295711
980.9422232822727820.1155534354544350.0577767177272177
990.9274739262765460.1450521474469090.0725260737234544
1000.909942351418070.180115297163860.0900576485819298
1010.8893882808300780.2212234383398440.110611719169922
1020.8656206186013560.2687587627972890.134379381398644
1030.8385148131849070.3229703736301850.161485186815093
1040.8080290250995180.3839419498009650.191970974900482
1050.7755605046451330.4488789907097350.224439495354867
1060.7385955614229580.5228088771540840.261404438577042
1070.6986805907658760.6026388184682480.301319409234124
1080.6569140503540530.6861718992918940.343085949645947
1090.6121768473945540.7756463052108920.387823152605446
1100.5658485624674050.868302875065190.434151437532595
1110.5183585852511940.9632828294976120.481641414748806
1120.4698355068970490.9396710137940970.530164493102951
1130.4221915977485050.8443831954970090.577808402251496
1140.3742832610984720.7485665221969450.625716738901528
1150.3292276713253750.6584553426507510.670772328674625
1160.2864773650988830.5729547301977670.713522634901117
1170.2465293241362880.4930586482725760.753470675863712
1180.2097681999852370.4195363999704730.790231800014763
1190.1764564653778020.3529129307556040.823543534622198
1200.1467324486272760.2934648972545510.853267551372724
1210.1206158485691860.2412316971383730.879384151430814
1220.09801969196790950.1960393839358190.901980308032091
1230.07677821209228570.1535564241845710.923221787907714
1240.06070067719398410.1214013543879680.939299322806016
1250.04744491062177370.09488982124354730.952555089378226
1260.03520052125960360.07040104251920730.964799478740396
1270.0267204133848660.0534408267697320.973279586615134
1280.02006662040788620.04013324081577250.979933379592114
1290.01492453678587660.02984907357175330.985075463214123
1300.01100912294485330.02201824588970650.988990877055147
1310.008070241915750740.01614048383150150.991929758084249
1320.0058947400999130.0117894801998260.994105259900087
1330.004305929486028860.008611858972057720.995694070513971
1340.003161211728593620.006322423457187230.996838788271406
1350.00234859118385930.00469718236771860.997651408816141
1360.001782800301829660.003565600603659310.99821719969817
1370.001401794732105150.00280358946421030.998598205267895
1380.0007897797038167730.001579559407633550.999210220296183
1390.0004259537247434270.0008519074494868540.999574046275257
1400.0003345925868948670.0006691851737897350.999665407413105
1410.009566849557815120.01913369911563020.990433150442185
1420.005402488943267250.01080497788653450.994597511056733
1430.003790909130976680.007581818261953360.996209090869023
1440.002792056864477160.005584113728954310.997207943135523
1450.00227189228862280.004543784577245610.997728107711377
1460.0009989708600740040.001997941720148010.999001029139926
1470.0003879657111601250.000775931422320250.99961203428884
1480.0001278203155120060.0002556406310240120.999872179684488


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level310.216783216783217NOK
5% type I error level460.321678321678322NOK
10% type I error level610.426573426573427NOK