Number CarsHousehold SizeHousehold-size cubedPredicted Cars 1111.24 2281.59 23271.96 24642.38 35cxxv2.84 the population retroflexion model is Y^=B0+B1X1+B2X2 thickset issue backsliding Statistics Multiple R (Correlation Coefficient)0.895828018Correlation between Xs & Ys R substantive0.80250783780.25% of the y ^ and the actually y is payable to the regressors X1 and X2. The remain 20% is ascribable to something else outside of those variables Adjusted R lame (correlation w/removing the near extreme values)0.605015674=r-square-(1-r-square)*(df-1)*(n-df)df=total form of indepent viariables streamer Error (Estimated precedent Deviation of actual error)0.444400903 Observations (N)5 psychoanalysis of variance Analysis of variancess= balance integrality of squares + regression sum of squares dfSS (Sum of Squares)MSFSignificance F Regression ((R Square % of the df values)21.6050156740.8025078374.0634920630.197492163 Residual (is the struggle btwn the actual and estimated)(The error)20.3949843260.
197492163 totality42 r-square=1-residualss/TotalSS Coefficients (Betas)Standard Errort Stat (Ho:Bi=0)(If the B was actually 0 and irrelevantP-value (P-value associated to the T-value) start out 95%Upper 95%Lower 95.0%Upper 95.0% Intercept B00.8965517240.7643980641.1728859180.361624318-2.3923876914.185491139-2.3923876914.185491139 X versatile 10.336468130.4227037640.795990380.509506953-1.4822793752.155215634-1.4822793752.155215634 X Variable 20.0020898640.0131137940.1593638150.888021498-0.0543342350.058513964-0.0543342350.058513964 Y^=B0+B1X1+B2X2If you want to larn a full essay, rear it on our website:
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