FSignificne FRegression41105.132462276.2831231.79692.088E-14Residual62538.71828428.6890046Total661643.850746 CoefficientsStandard Errt StatP-valueLower 95%Upper 95%Lower 95.0%Upper 95.0%Intercept35.7800312.48947014.3725480.00000030.80365640.75640630.80365640.756406Weight-0.0005600.000462-1.2128090.229804-0.0014840.000363-0.0014840.000363# of Doors0.6080120.4513911.3469720.182892-0.2943061.510329-0.2943061.510329# of Cylinders0.1049020.6388700.1642000.870108-1.1721791.381983-1.1721791.381983Liters-3.4163110.755364-4.5227320.000028-4.926261-1.906360-4.926261-1.906360InterpretationsMPG = 35.78 - .00056(Weight) + .608012(# of Doors) + .104902 (# of Cylinders) 3.416311 (Liters) (.004462) (.451391) (.638870) (.755364) t = -1.212809 1.346972 .1642 -4.522732n= 67Adjusted R Squared = .6511 Adjusted Multiple R Squared- Considering this is a cross-sectional analysis, an adjusted R squared (R squared adjusted for degrees of freedom) of .6511 is relatively strong. In a sense, this goodness of fit explains 65% of the variation. Although this output is strong, there are still other variables that can be added to create a stronger equation to predict MPG. T-Statistics- As noted above, the calculated T-Values range from 4.522 to 1.346972.The critical T-Value, assuming a 5% two-tail test with 63 degrees of freedom, results in an estimated 1.99 according to Table B-1 in Using Econometrics. Therefore, since the critical value is less than all the calculated T-Values, we can reject the null hypothesis. F-Test- As reported from the regression results, the F value is 31.80. The critical F value, considering a 5% level of significance and 63 degrees of freedom, results in an estimated 2.53 according to Table B-2 in Using Econometrics. Therefore, since the critical value is less than the F-Value, we can reject the null...
