The estimated regression equation .... Explain A,b,c,d,e,f,g,h

3. The estimated regression equation for a model involving two independent variables and 65 observations is: yhat = 55.17+1.1X1 -0.153X2 Other statistics produced for analysis include: SSR = 12370.8, SST = 35963.0, Sb1 = 0.33, Sb2 = 0.20. (16 points) a. Interpret b, and b2 in this estimated regression equation b. Predict y when X1 = 65 and X2 = 70. c. Compute R-square and Adjusted R-Square. d. Comment on the goodness of fit of the model. e. Compute MSR and MSE. f. Compute F and use it to test whether the overall model is significant using a p-value (a = 0.05). g. Perform a t test using the critical value approach for the significance of B1. Use a level of significance of 0.05. h. Perform a t test using the critical value approach for the significance of B2. Use a level of significance of 0.05