A real estate developer wishes to study the relationship between the size of home a client will purchase (in square feet) and other variables. Possible independent variables include the family income, family size, whether there is a senior adult parent living with the family (1 for yes, O for no), and the total years of education beyond high school for the husband and wife. The sample information is reported below. Family 1 2 3 4 5 Square Feet Income (000s) Family Size Senior Parent Education 2,300 60.8 2 2 0 4 2,300 68.4 3 1 6 3,400 104.5 3 0 7 3,360 89.3 4 4 1 0 3,000 72.2 4 4 0 2 2 2,900 114 2 1 10 4,100 125.4 5 0 6 2,250 83.6 3 0 8 4,200 133 5 0 2 2,800 95 3 0 6 6 7 8 9 9 10 Click here for the Excel Data File a. Develop an appropriate multiple regression equation using stepwise regression. (Use Excel data analysis and enter number of family members first, then their income and delete any insignificant variables. Leave no cells blank - be certain to enter "0" wherever required. R and R2 adj are in percent values. Round your answers to 3 decimal places.) 1 2 Step Constant Family Size t-statistic p-value Income t-statistic p-value S R-Sq R-Sq(adj) b. Select all independent variables that should be in the final model. (You may select more than one answer Single-click the box with the question mark to produce a check mark for a correct answer and double- click the box with the question mark to empty the box for a wrong answer. Any boxes left with a question mark will be automatically graded as incorrect.) 2 Senior parent 2 Square feet 2 Family size 2 Income 2 Education c. Write out the regression equation. Square feet = = (Family Size) + (Income) d. Report and interpret the adjusted R2. %