Can I get help explaining this. I think it's C but I also think B

13 2 points How do you interpret the R-squared for the following Printout? Least Squares Linear Regression of Price Predictor Variables Coefficient Std Error T P VIF Constant 18873.4 824.019 22.90 0.0800 Mileage -0.08463 8.01489 -5.68 0.0oce 1.9 Model 2072.04 1144.32 1.81 0.0767 3.0 1 RZ 0.6403 Mean Square Error (MSE) 5449993 Adjusted R2 0.6169 Standard Deviation 2334.52 2 AICC 782.75 PRESS 2.89E+08 Source DF SS HS F P 3 Regression 3 4.463E+08 1.488E+08 27.30 0.0030 Residual 46 2.507E+08 5449993 Total 49 6.970E+08 4 Lack of Fit 43 2. 302E+08 5353481 0.78 8. 7055 Pure Error 3 2.050E+07 6833333 Cases Included 50 5 Missing Cases 0 We can predict the price of a vehicle within $2334 when using the model with mileage and model 6 We can explain 64% of the variation in vehicle mileage around the mean using the model with price and model 7 O We can explain 64% of the variation in vehicle price around the mean using the model with mileage and model Activate Windows We can predict the mileage of a vehicle within 2334 when using the model with price and model Go to Settings to activate Windows