\fYou need to develop a model to predict the selling price of houses in a small city, based on assessed value, time in months since the house was reassessed, and whether the house is new (0 = no and 1 = yes). A sample of 30 recently sold single-family houses that were reassessed at full value one year prior to the study is selected and the results are in the given table. Develop the most appropriate multiple regression model to predict selling price. Click here to view the data. C. X2 D. X1X3 DE. X3 OF. X2X3 [YG. X1X2X3 H. No models meet the requirements. Based on a full analysis of the best model, which terms should be added? Select all that apply. A. An interaction term X1X2 B. A quadratic term X? [C. An interaction term X1X3 D. A quadratic term X? E. An interaction term X2X3 F. A quadratic term X'? LY G. No terms need to be added. What is the final model? Y = [+() *1 + ()X2+ ()X3 + ()x1X2 + () x1X3+ ()X2X3 + () x7 + (1) x3 + (0) x3 (Round to four decimal places as needed.)