using the variable selection strategy of forward selection with the Iterative T-test feature selection option in the Linear Regression operator. Use 0.10 as the forward alpha parameter. Report the following results in your response

1. Based on your holdout results, provide screenshots of the Data tab of the Linear Regression results tab.

2. Write the linear regression model (equation) generated that includes the intercept and the coefficients for all predictors using the Description section of the Linear Regression results tab.

3. Provide and interpret each of the following metrics: root mean squared error (RMSE), absolute error (MAE), relative error (MAPE), squared error (MSE), squared correlation (R2), mean percent error (MPE), and mean error.