5 2 points What would you conclude from the following Printout? Least Squares Linear Regression of Price Predictor Variables Coefficient Std Error P VIF Constant 18873.4 824.019 22.90 0,0080 9.0 Mileage -0.08463 0.01489 -5.68 1.9 Model 2972.04 1144.32 1.81 0.0767 X1X2 -0.01983 0.09655 -3.03 0.9028. 3.6 0. 6403 Mean Square Error (MSE) 5449993 Adjusted RZ 9.6169 Standard Deviation 2334.52 AICC 782.75 PRESS 2.89E+08 Source DF 55 P Regression 4.463E+08 1. 488E+08 27.30 0.0000 Residual 46 2.507E+08 5449993 Total 49 6.9795+08 Lack of Fit 43 2.302E+08 5353481 0.78 0.7055 Pure Error 2.0595407 6833333 Cases Included 50 Missing Cases 0 There is sufficient evidence that this is a curvilinear relationship There is sufficient evidence that there is an interaction between mileage and model OOOO There is insufficient evidence that any of the independent variables in this model are useful in predicting price There is insufficient evidence that there is an interaction between mileage and model