Multiple Linear Regression - Estimated Regression Equation
timein[t] = + 850.97661095942 + 0.264456987979047sunset[t] + 1.76566057630534temp[t] -0.880457889815843dewpoint[t] -0.282616075335568humidity[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)850.97661095942286.9492972.96560.0059910.002995
sunset0.2644569879790470.2481331.06580.2953120.147656
temp1.765660576305340.6067062.91020.0068710.003435
dewpoint-0.8804578898158430.948247-0.92850.3608070.180404
humidity-0.2826160753355680.148785-1.89950.0674870.033744


Multiple Linear Regression - Regression Statistics
Multiple R0.714906749147207
R-squared0.511091659976227
Adjusted R-squared0.4436560268695
F-TEST (value)7.57895546360996
F-TEST (DF numerator)4
F-TEST (DF denominator)29
p-value0.000262202464874628
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation14.9526204447375
Sum Squared Residuals6483.84488676706


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
112171195.4107727569221.5892272430767
212021204.59204300461-2.59204300460964
311801205.93626306166-25.936263061664
411671196.12240121865-29.1224012186518
511861170.0216560156115.9783439843912
611681177.15674789466-9.15674789466464
711421157.52863308326-15.5286330832612
811471161.18471525657-14.184715256567
911831171.5700450181211.4299549818759
1011491174.31195580654-25.3119558065378
1111971183.4032823332713.5967176667267
1212101179.3275702462530.6724297537497
1312061191.7032132773114.296786722694
1411961176.0556317601419.9443682398574
1511901185.081367367554.91863263244868
1611751174.006525118690.993474881305227
1711861175.5713878179510.4286121820542
1811721164.565800946347.43419905365946
1911521156.53063672085-4.53063672085237
2011541160.49230637242-6.49230637242264
2111681159.774515866128.22548413388106
2211801178.914594856831.08540514316592
2311691161.733994174947.26600582506244
2411661169.67077748007-3.6707774800654
2511771174.657561998442.34243800156059
2611681162.232641174125.76735882588112
2711601157.16481473672.83518526329768
2811471171.80763202879-24.8076320287852
2911611167.07007536946-6.07007536946044
3011431153.86394909905-10.8639490990529
3111591157.663036010481.3369639895187
3211581157.39857902250.601420977497743
3311561156.86966504654-0.869665046544163
3411551156.60520805857-1.60520805856512


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.3871550238312650.774310047662530.612844976168735
90.9219132372688140.1561735254623730.0780867627311864
100.9907450057547050.01850998849058960.00925499424529481
110.9996025364450080.0007949271099848640.000397463554992432
120.9999413581047650.0001172837904706745.86418952353371e-05
130.9998128151782290.0003743696435413390.00018718482177067
140.9997533818774770.0004932362450460330.000246618122523016
150.9992577243305910.001484551338818490.000742275669409247
160.998562277884140.002875444231720910.00143772211586045
170.9965022471687910.006995505662418630.00349775283120932
180.9924440667773740.0151118664452530.00755593322262649
190.9946774330435940.01064513391281170.00532256695640585
200.9988083632972830.002383273405434780.00119163670271739
210.996483660848520.007032678302959240.00351633915147962
220.9916263770242410.01674724595151910.00837362297575954
230.990317947048190.01936410590362080.00968205295181041
240.9815282194036480.03694356119270480.0184717805963524
250.9466666122087320.1066667755825360.0533333877912682
260.9023398804194980.1953202391610030.0976601195805015


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level90.473684210526316NOK
5% type I error level150.789473684210526NOK
10% type I error level150.789473684210526NOK