Multiple Linear Regression - Estimated Regression Equation
Time[t] = + 471.725413325326 + 0.524500107461251Sunset[t] -13.4669448927732Rain[t] + 6.33441483921043T[t] + 0.710215219254356H[t] -0.1216884573377`T^2`[t] -0.00910865774614004`H^2`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)471.725413325326235.3395052.00440.0551460.027573
Sunset0.5245001074612510.199892.62390.0141250.007063
Rain-13.46694489277327.49586-1.79660.0835990.0418
T6.334414839210432.7358292.31540.0284310.014216
H0.7102152192543560.8690480.81720.4209480.210474
`T^2`-0.12168845733770.059559-2.04320.0509080.025454
`H^2`-0.009108657746140040.007281-1.25110.2216380.110819


Multiple Linear Regression - Regression Statistics
Multiple R0.770138459397939
R-squared0.59311324664383
Adjusted R-squared0.502693968120237
F-TEST (value)6.55958835691294
F-TEST (DF numerator)6
F-TEST (DF denominator)27
p-value0.000232145878630852
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation13.7687077962109
Sum Squared Residuals5118.58748819081


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
112171198.8987789445418.1012210554633
212021193.583937385928.41606261408323
311801189.88733867339-9.88733867338617
411671194.22802278461-27.2280227846089
511861169.0505462526216.9494537473832
611681176.74696940138-8.74696940138205
711421146.25036577079-4.2503657707863
811471167.9842315444-20.984231544397
911831184.80167766553-1.80167766553273
1011491186.56209417393-37.5620941739279
1111971185.1281163328211.8718836671776
1212101189.0117741163220.9882258836779
1312061190.6270487479115.3729512520879
1411961186.193131982559.80686801744578
1511901178.0115064694611.9884935305413
1611751176.62991304667-1.62991304667293
1711861182.523335156783.476664843221
1811721172.56371389847-0.563713898472788
1911521145.097881843026.90211815697789
2011541150.403365166263.59663483374073
2111681163.073464073384.92653592661806
2211801182.4382606076-2.4382606075958
2311691165.522803892193.47719610781178
2411661175.47142207228-9.47142207227843
2511771176.819253956540.180746043460023
2611681165.680237879952.31976212004574
2711601157.816488980012.18351101999223
2811471161.45087156593-14.4508715659334
2911611158.990567961842.00943203816043
3011431139.525251020263.47474897973528
3111611162.80709022385-1.80709022384737
3211611171.05443430347-10.0544343034684
3311681161.832172695226.16782730478245
3411721173.33393141012-1.33393141011554


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.9979120151185740.004175969762851320.00208798488142566
110.9999731870698125.36258603761428e-052.68129301880714e-05
120.9999843855747023.12288505953448e-051.56144252976724e-05
130.9999747424814445.05150371127909e-052.52575185563955e-05
140.999968843247016.23135059801376e-053.11567529900688e-05
150.9999665427195056.69145609905689e-053.34572804952844e-05
160.9999294688877430.0001410622245133267.05311122566629e-05
170.9998570233793150.0002859532413702850.000142976620685143
180.9995197895203650.0009604209592708480.000480210479635424
190.9984708099376010.00305838012479720.0015291900623986
200.998155499838570.00368900032286080.0018445001614304
210.9942359407304410.01152811853911740.00576405926955872
220.9866377779029280.0267244441941450.0133622220970725
230.9741709813390990.05165803732180170.0258290186609009
240.974616960175310.05076607964938060.0253830398246903


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level110.733333333333333NOK
5% type I error level130.866666666666667NOK
10% type I error level151NOK