Multiple Linear Regression - Estimated Regression Equation
PS[t] = + 1.07450734352761 -0.110510500050775D[t] -0.303538869156499Tg[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1.074507343527610.1287518.345600
D-0.1105105000507750.022191-4.981.6e-058e-06
Tg-0.3035388691564990.068904-4.40539.1e-054.5e-05


Multiple Linear Regression - Regression Statistics
Multiple R0.809091682302199
R-squared0.654629350370602
Adjusted R-squared0.635442092057858
F-TEST (value)34.1179203250624
F-TEST (DF numerator)2
F-TEST (DF denominator)36
p-value4.88807316845197e-09
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.181764011717535
Sum Squared Residuals1.18937361440348


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
10.301030.2502565895295930.0507734104704075
20.25527251-0.2159818262077660.471254336207766
3-0.15490196-0.0520975240006324-0.102804435999368
40.591064610.495312176714540.09575243328546
50-0.1546977777625950.154697777762595
60.55630250.4178270477023990.138475452297601
70.146128040.247120645667811-0.100992605667811
80.176091260.01044802287858660.165643237121413
9-0.15490196-0.2213227039954410.0664207439954406
100.322219290.471277589631142-0.149058299631142
110.612783860.3607670895803670.252016770419633
120.079181250.222374018029661-0.143192768029661
13-0.30103-0.136803944988707-0.164226055011293
140.531478920.4879891263681110.0434897936318892
150.176091260.207771733434407-0.0316804734344075
160.531478920.3037071314583350.227771788541665
17-0.096910010.076227661063898-0.173137671063898
18-0.09691001-0.2448873248831120.147977314883112
190.301030.448293410946015-0.147263410946015
200.27875360.227456359620920.0512972403790797
210.113943350.35482442170148-0.24088107170148
220.748188030.6364233872369350.111764642763065
230.491361690.3328845180804360.158477171919564
240.255272510.2020530650994030.0532194449005968
25-0.04575749-0.0445625995636279-0.00119489043637205
260.255272510.479997269694421-0.224724759694421
270.27875360.006963451297666510.271790148702333
28-0.045757490.0692686023878065-0.115026092387806
290.414973350.3416308953117730.0733424546882272
300.380211240.443123130184457-0.0629118901844566
310.079181250.18119514583883-0.10201389583883
32-0.045757490.139507521255573-0.185265011255573
33-0.301030.0289970212047976-0.330027021204798
34-0.22184875-0.139449356047346-0.0823993939526542
350.361727840.3137483238118420.0479795161881583
36-0.301030.0445237992801028-0.345553799280103
370.414973350.3487747120267430.0661986379732574
38-0.22184875-0.0724184738955014-0.149430276104499
390.819543940.6161024343066770.203441505693323


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.5979289810166790.8041420379666420.402071018983321
70.8058149738732330.3883700522535340.194185026126767
80.7209818132054270.5580363735891450.279018186794573
90.6497647874229490.7004704251541020.350235212577051
100.6130048061514350.7739903876971310.386995193848565
110.6901071899554090.6197856200891820.309892810044591
120.6911996529982730.6176006940034540.308800347001727
130.7378984241983130.5242031516033740.262101575801687
140.6517730967498560.6964538065002870.348226903250144
150.5666429756465680.8667140487068650.433357024353432
160.5946890732242670.8106218535514660.405310926775733
170.6108801446816290.7782397106367430.389119855318371
180.6134410857790130.7731178284419750.386558914220987
190.5892053648542630.8215892702914730.410794635145737
200.5034278226626260.9931443546747480.496572177337374
210.5914000344703680.8171999310592630.408599965529631
220.5262808924015390.9474382151969210.473719107598461
230.534351613299260.9312967734014810.46564838670074
240.482913741963180.9658274839263610.51708625803682
250.4143011308671430.8286022617342860.585698869132857
260.602854834681830.7942903306363410.397145165318171
270.9605582396754680.07888352064906470.0394417603245324
280.9705526793881930.05889464122361360.0294473206118068
290.9617218108826470.07655637823470650.0382781891173532
300.9327454812471530.1345090375056930.0672545187528466
310.9136052715760.1727894568480010.0863947284240004
320.9363536448533140.1272927102933720.0636463551466858
330.8803569984999060.2392860030001870.119643001500094


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level30.107142857142857NOK