STEP 1 MODEL 1 Build a Multiple Regression Model Sale Price will be our response variable, build model using the original predictor variables Now, let us do Multiple Regression Analysis 1. Perform a Multiple Linear Regression analysis using stepwise method (usin mg the van i_a_lb es from age to location] andl WW against Y: Sale Price AND perform residual analysis using the leverage plots. a. What is the estimated regression equation? b. Provide the predictive power of the model and the standard error of estimate. c. Does this multiple regression model seem useful? Support your answer and where appropriate use a significance level of 5%. d. Examine each of the predictor variables individually to determine which are contributing significantly to the model. Which predictor variables would you recommend keeping in the model? Use a significance level of 5%. e. Is multicollinearity a problem? Support your answer.(hint: calculate VTF using JMP) f. Evaluate the required conditions (assumptions: linearity and homoscedasticity only) based on your leverage plots. g. Do you have any suggestions for remedying the problems? Be specific. h. Provide a point estimate and an appropriate interval to predict the price of the seven potential properties. 1. Examine the model from business perspective and state your conclusion