Multiple Linear Regression - Estimated Regression Equation
GemiddeldeTemperatuur[t] = -1.68681067708564 + 0.0516575621816613UrenZonneschijn[t] + 0.152185240873801Neerslagdagen[t] + 0.279003835025269Onweersdagen[t] -0.391768728279492Sneeuwdagen[t] + 0.330848013568777Maand[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-1.686810677085642.733139-0.61720.5399230.269962
UrenZonneschijn0.05165756218166130.0094815.44872e-061e-06
Neerslagdagen0.1521852408738010.1065991.42760.1596090.079805
Onweersdagen0.2790038350252690.0893983.12090.0029930.001496
Sneeuwdagen-0.3917687282794920.145934-2.68460.0098250.004913
Maand0.3308480135687770.1075913.07510.0034070.001703


Multiple Linear Regression - Regression Statistics
Multiple R0.911599239034732
R-squared0.831013172608702
Adjusted R-squared0.814114489869572
F-TEST (value)49.1762100891121
F-TEST (DF numerator)5
F-TEST (DF denominator)50
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.41751035472080
Sum Squared Residuals292.217815759115


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
19.38.286903410979671.01309658902033
214.215.6166393654456-1.41663936544557
317.317.4193804074355-0.119380407435531
42321.99385158439861.00614841560142
516.316.03842777270390.261572227296067
618.411.78900098249856.6109990175015
714.211.46185827922782.73814172077223
89.19.6351773720487-0.535177372048699
95.96.97623741548032-1.07623741548032
107.24.741346159102192.45865384089781
116.84.577918116223822.22208188377618
12811.2882779210808-3.28827792108076
1314.315.1443405418571-0.844340541857082
1414.615.6933985781281-1.09339857812807
1517.514.64834525997482.85165474002523
1617.216.46955951231370.730440487686317
1717.213.47705424032593.72294575967413
1814.111.05119861108383.04880138891618
1910.410.14571185047940.254288149520585
206.87.82236354940502-1.02236354940502
214.110.4649374252098-6.3649374252098
226.54.480154429981372.01984557001863
236.17.71578350460358-1.61578350460358
246.35.960542955190580.339457044809423
259.311.5309839941996-2.23098399419964
2616.417.2014137596623-0.801413759662306
2716.115.23211385304170.867886146958343
281816.92890268060631.07109731939373
2917.614.60728644446452.99271355553546
301412.95296217037311.04703782962694
3110.511.7058971749596-1.20589717495965
326.99.31136455254512-2.41136455254512
332.86.06370650101517-3.26370650101517
340.74.22495495984021-3.52495495984021
353.61.817920126642111.78207987335789
366.79.66962418751898-2.96962418751898
3712.514.8342805281548-2.33428052815478
3814.416.8645181985975-2.4645181985975
3916.517.5013202351664-1.00132023516638
4018.719.6979600105205-0.997960010520504
4119.418.44732999245010.952670007549917
4215.812.26627272923693.53372727076314
4311.310.25301832493261.0469816750674
449.710.1897383239125-0.489738323912547
452.95.3667594947924-2.46675949479241
460.1-1.570169976799941.67016997679994
472.51.323728491597461.17627150840254
486.78.54922322103403-1.84922322103403
4910.314.3013598691449-4.00135986914489
5011.212.6571464683888-1.45714646838881
5117.415.88426468231731.51573531768269
5220.518.97328523933711.52671476066292
531715.67071995364701.32928004635304
5414.213.64921785294150.55078214705852
5510.611.8779062223522-1.27790622235225
566.14.316580488228911.78341951177109


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.767381557687840.4652368846243210.232618442312160
100.6969361157871520.6061277684256960.303063884212848
110.6385469625043220.7229060749913560.361453037495678
120.6953226967382170.6093546065235670.304677303261783
130.7834693503517240.4330612992965520.216530649648276
140.7054028360656870.5891943278686250.294597163934313
150.7134701334858390.5730597330283220.286529866514161
160.638554563071560.722890873856880.36144543692844
170.6942799793157680.6114400413684640.305720020684232
180.711004252186260.577991495627480.28899574781374
190.7206938138966260.5586123722067470.279306186103374
200.6633725161730820.6732549676538360.336627483826918
210.957713272707050.08457345458589930.0422867272929496
220.9438477606345570.1123044787308850.0561522393654427
230.9516644723969280.09667105520614470.0483355276030724
240.9254566514552650.1490866970894710.0745433485447353
250.9214597844320.1570804311360010.0785402155680003
260.8878143360286260.2243713279427490.112185663971374
270.8503320797720580.2993358404558830.149667920227942
280.8104000702184520.3791998595630970.189599929781548
290.87343557694240.2531288461151990.126564423057600
300.8462936636552630.3074126726894740.153706336344737
310.8112607795123720.3774784409752570.188739220487628
320.8100604281258110.3798791437483780.189939571874189
330.8420560067670260.3158879864659470.157943993232974
340.844371163859410.3112576722811790.155628836140590
350.857678853444530.2846422931109390.142321146555470
360.871536269707340.2569274605853200.128463730292660
370.86008083152830.2798383369434000.139919168471700
380.8407112510867180.3185774978265640.159288748913282
390.7728858397121180.4542283205757630.227114160287882
400.7142826353517950.5714347292964090.285717364648205
410.6229679649718350.754064070056330.377032035028165
420.923313699263650.1533726014727010.0766863007363505
430.9525422433089120.09491551338217530.0474577566910876
440.9209894166185480.1580211667629050.0790105833814523
450.981856862443060.03628627511388050.0181431375569403
460.9510898796902660.0978202406194670.0489101203097335
470.9503152518035160.09936949639296780.0496847481964839


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.0256410256410256OK
10% type I error level60.153846153846154NOK