Multiple Linear Regression - Estimated Regression Equation
Time[t] = + 334.098988484479 + 0.518791686932565Sunset[t] + 6.68021081402233T[t] + 1.480973757804H[t] -0.106900150895852`T^2`[t] -0.0140914830828158`H^2`[t] -2.03629874989499Dewpoint[t] + 4.19325585866879Pressure[t] + 0.0163565845795424TxH[t] -1.83300479004516Visibility[t] -13.740393697781Rain[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)334.098988484479618.2113330.54040.5940970.297048
Sunset0.5187916869325650.2243122.31280.0300270.015013
T6.680210814022337.4709640.89420.38050.19025
H1.4809737578042.2797890.64960.522380.26119
`T^2`-0.1069001508958520.090168-1.18560.2478970.123949
`H^2`-0.01409148308281580.010065-1.40.174860.08743
Dewpoint-2.036298749894992.977672-0.68390.5008990.250449
Pressure4.1932558586687915.0177840.27920.7825720.391286
TxH0.01635658457954240.0481170.33990.7369910.368496
Visibility-1.833004790045162.893244-0.63350.5326270.266313
Rain-13.7403936977818.028928-1.71140.1004690.050235


Multiple Linear Regression - Regression Statistics
Multiple R0.789376487884753
R-squared0.623115239625268
Adjusted R-squared0.459252300331906
F-TEST (value)3.80266118935967
F-TEST (DF numerator)10
F-TEST (DF denominator)23
p-value0.00389413488510493
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation14.3574945527332
Sum Squared Residuals4741.16594613057


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
112171197.9289327144119.0710672855877
212021191.9199539551510.080046044853
311801188.39475239354-8.39475239353605
411671193.04400951491-26.044009514909
511861168.9177801260717.0822198739253
611681174.92322778128-6.92322778127705
711421148.21642246116-6.21642246115539
811471164.28050408418-17.2805040841799
911831182.318473839820.681526160180086
1011491186.00108675669-37.0010867566938
1111971197.90745068825-0.907450688250221
1212101188.3665428199621.6334571800432
1312061189.0039022458516.9960977541508
1411961192.882301258063.11769874193793
1511901180.058023111279.94197688872947
1611751177.50131770043-2.50131770042502
1711861182.498008468573.50199153142783
1811721171.992458767010.00754123298872701
1911521141.1221689353110.8778310646913
2011541156.34366249853-2.34366249852765
2111681161.605712380996.39428761901156
2211801181.53875635784-1.53875635783599
2311691164.432803122144.56719687785506
2411661174.31421945278-8.3142194527777
2511771175.179652983421.82034701658116
2611681163.912265679884.08773432011619
2711601155.308726512994.6912734870064
2811471159.47673819766-12.4767381976565
2911611159.981244295841.01875570416145
3011431140.167637062472.83236293752661
3111611168.65100070642-7.65100070641982
3211611166.79446128859-5.79446128859303
3311681161.805426322086.19457367791888
3411721173.21037551646-1.21037551645543


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
140.9998654701574840.0002690596850318020.000134529842515901
150.9997806422497190.0004387155005616940.000219357750280847
160.9993727674799020.00125446504019590.000627232520097948
170.9983771005294790.003245798941042530.00162289947052127
180.9938998495817660.0122003008364680.00610015041823399
190.9835353300225570.03292933995488530.0164646699774427
200.950808780048460.0983824399030790.0491912199515395


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level40.571428571428571NOK
5% type I error level60.857142857142857NOK
10% type I error level71NOK