(Solved): Math Modeling (Stat & Prob) 8.21. A linear regression is performed based on two predictors and ...

Math Modeling (Stat & Prob)

8.21. A linear regression is performed based on two predictors and an intercept: $y_i={?}_0+{?}_1{x}_{1i}+{?}_2{x}_{2i}+{?}_i$ For ${?}_1$ and ${?}_2$, only integer values between 0 and 3 are considered. The resulting lowest residual sum of squares for the optimal value of ${\widehat{?}}_0$ and each combination of ${\widehat{?}}_1$ and ${\widehat{?}}_2$ is: The lasso with tuning parameter $?=4$ is performed. Determine the fitted values of ${?}_1$ and ${?}_2$.