Multiple Linear Regression - Estimated Regression Equation
GemiddeldeTemperatuur[t] = -4.04530217058801 + 0.0381435714492496UrenZonneschijn[t] + 0.213146642069809Neerslagdagen[t] + 0.0010129530924018Onweersdagen[t] -0.208605928160090Sneeuwdagen[t] + 0.58755377086074GemTemperatuurAuto[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-4.045302170588012.255823-1.79330.0808920.040446
UrenZonneschijn0.03814357144924960.0091714.15910.0001768.8e-05
Neerslagdagen0.2131466420698090.0986362.16090.0370690.018534
Onweersdagen0.00101295309240180.1071290.00950.9925050.496253
Sneeuwdagen-0.2086059281600900.123561-1.68830.099550.049775
GemTemperatuurAuto0.587553770860740.094526.216200


Multiple Linear Regression - Regression Statistics
Multiple R0.954893570708105
R-squared0.911821731379675
Adjusted R-squared0.900219327613843
F-TEST (value)78.5890363568357
F-TEST (DF numerator)5
F-TEST (DF denominator)38
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.79003426320843
Sum Squared Residuals121.760461211486


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
114.312.2547610492812.04523895071901
214.615.2569145621409-0.65691456214086
317.515.14504875560252.35495124439754
417.220.1088111777256-2.90881117772565
517.214.03439588966103.16560411033896
614.114.1500555887353-0.0500555887353311
710.410.8805626816387-0.480562681638716
86.87.72839243862457-0.928392438624566
94.16.14717899681861-2.04717899681861
106.56.482907726108120.0170922738918758
116.17.10279244282318-1.00279244282318
126.36.91227239214089-0.612272392140886
139.312.5002814182706-3.20028141827062
1416.415.70192934172460.698070658275413
1516.116.9270719836969-0.827071983696898
161817.24172330522070.758276694779287
1717.615.38739013774082.21260986225923
181412.8297277109221.17027228907801
1910.510.35742482473270.142575175267255
206.96.400917816401390.499082183598611
212.82.458472332086370.341527667913632
220.74.68735707539688-3.98735707539688
233.63.6032438930405-0.00324389304049716
246.78.16186189031866-1.46186189031866
2512.512.10241706444100.397582935559046
2614.416.7054068871538-2.30540688715384
2716.516.35541152241260.144588477587398
2818.718.9364124206549-0.236412420654902
2919.418.06513494001971.33486505998027
3015.812.26737895370543.53262104629461
3111.39.1854915345312.11450846546901
329.77.175467001307122.52453299869288
332.91.946023282878090.953976717121914
340.1-0.8488229669569650.948822966956965
352.52.209566916983010.290433083016986
366.76.75303468742455-0.0530346874245536
3710.313.0921198755120-2.79211987551198
3811.213.9662971266093-2.76629712660933
3917.417.4498786918753-0.0498786918753468
4020.519.33719513373511.16280486626492
411717.4583337651999-0.458333765199937
4214.214.5373213082502-0.337321308250162
4310.610.54956443427040.0504355657295827
446.15.794871989141010.30512801085899


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.7191151263584140.5617697472831730.280884873641586
100.5684283528101470.8631432943797060.431571647189853
110.4308322919527130.8616645839054270.569167708047287
120.7323767053520370.5352465892959260.267623294647963
130.8958347938419630.2083304123160740.104165206158037
140.8442469082081050.3115061835837910.155753091791895
150.7801295667886480.4397408664227040.219870433211352
160.7156615472452240.5686769055095520.284338452754776
170.7456492709188410.5087014581623180.254350729081159
180.6876132948999890.6247734102000220.312386705100011
190.5964877157981380.8070245684037230.403512284201862
200.5076157909067330.9847684181865340.492384209093267
210.4122104803393400.8244209606786790.58778951966066
220.7164042009716060.5671915980567880.283595799028394
230.6528115681481180.6943768637037640.347188431851882
240.6281019632209180.7437960735581630.371898036779082
250.528547544569230.942904910861540.47145245543077
260.5801141722207810.8397716555584370.419885827779219
270.4776218181138480.9552436362276960.522378181886152
280.3722441525370450.7444883050740890.627755847462955
290.3533235772312060.7066471544624130.646676422768794
300.7689990135033150.4620019729933710.231000986496685
310.8448552412559320.3102895174881360.155144758744068
320.7954763260140840.4090473479718320.204523673985916
330.7060551960874070.5878896078251860.293944803912593
340.5745694224289730.8508611551420550.425430577571027
350.6971985972450720.6056028055098560.302801402754928


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 level00OK