\\ J. I Consider the regression model y = .801\" + 51561 + 5W2 + 33x3 + e E R\". As usual assume 5 N N (0, azIn). The following is a description of the variables: y medv Median value of owner-occupied homes in $1000's m1 age proportion of owner-occupied units built prior to 1940 m2 rm average number of rooms per dwelling x3 dis weighted distances to ve Boston employment centers Consider tting model M1 : g = {33 = 0, that is, we only include the intercept and $1 in the model. This is a simple regression model. Below is the output of R summarizing the result of tting the model to the data: Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 28.49769 0.95917 29.711