Multiple Linear Regression - Estimated Regression Equation
Personenwagens[t] = + 38757.9296737345 -6100.47698271832Eurosuperbenzine[t] -19155.6727897649Diesel[t] + 21792.8613239085LPG[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)38757.929673734511275.8168133.43730.0011150.000557
Eurosuperbenzine-6100.4769827183228565.29279-0.21360.8316640.415832
Diesel-19155.672789764928730.533687-0.66670.5076790.253839
LPG21792.861323908528880.2700620.75460.4536550.226827


Multiple Linear Regression - Regression Statistics
Multiple R0.316689214034048
R-squared0.100292058285503
Adjusted R-squared0.052093418550798
F-TEST (value)2.08080682022419
F-TEST (DF numerator)3
F-TEST (DF denominator)56
p-value0.113061609476628
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation6292.56516133407
Sum Squared Residuals2217397073.33957


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
13770226816.285900358310885.7140996417
23036425726.92425343464637.07574656537
33260925822.56190774766786.43809225244
43021225325.9813307144886.01866928601
52996524829.40075368045135.59924631957
62835224881.86310509153470.13689490849
72581424567.73399899591246.26600100408
82241424793.9236113793-2379.92361137932
92050624445.7244593416-3939.72445934156
102880625412.79514733903393.20485266096
112222825978.9229126159-3750.92291261589
121397125359.7699573844-11388.7699573844
133684526423.041138238410421.9588617616
143533826274.65971324269063.34028675744
153502225612.6128743819409.387125619
163477725299.32802610089477.67197389923
172688725203.40895251611683.59104748395
182397025900.0886758634-1930.08867586337
192278025403.226679558-2623.22667955801
201735125403.226679558-8052.22667955801
212138225551.8895238256-4169.8895238256
222456125282.5246085404-721.524608540359
231740926170.7610597853-8761.76105978532
241151426667.6230560907-15153.6230560907
253151426510.98063195065003.01936804944
262707126032.22952184231038.77047815767
272946225675.48795138853786.51204861153
282610525264.4137223432840.586277656764
292239725812.4306014230-3415.43060142296
302384325559.8691036981-1716.86910369813
312170525716.7929471100-4011.79294711003
321808925089.660412006-7000.660412006
332076425211.9513709322-4447.95137093215
342531625394.9656804137-78.9656804137012
351770425639.2661789942-7935.26617899422
361554825891.8276767191-10343.8276767191
372802925830.82290689192198.17709310813
382938325743.44625172333639.55374827675
393643825107.771298203111330.2287017969
403203424158.5300771317875.46992286902
412267923435.759887714-756.759887714016
422431924036.8019567484282.198043251605
431800423374.7551178868-5370.75511788683
441753722852.8287048768-5315.82870487676
452036623315.0578166964-2949.05781669636
462278223176.5262787534-394.526278753373
471916923524.7254307911-4355.72543079114
481380723428.5249379346-9621.52493793463
492974323819.89939287425923.10060712576
502559122913.83347470392677.16652529606
512909622487.82613527866608.17386472141
522648221103.00910700015378.99089299994
532240520919.71337824671485.28662175328
542704419369.43008814027674.56991185981
551797018864.5885119623-894.588511962318
561873018742.5789723080-12.5789723079513
571968419301.0085769841382.991423015939
581978520321.1044549362-536.104454936201
591847921392.0737963909-2913.07379639093
601069822376.2293212206-11678.2293212206