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 insignicant variables. Leave no cells blank - be certain to enter "0" wherever required. Rand R2 adj are in percent values. Round your answers to 3 decimal places.) Constant Familyr Size fstatistic Income fstatistic pvalue 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, 0 for no), and the total years of education beyond high school for the husband and wife. The sample information is reported below. Income Senior Familyr Square Feet (@695) Familyr Size Parent Education 1 2,399 69.8 2 9 4 2 2,399 68.4 3 1 6 3 3,499 194.5 3 9 7 4 3,369 89.3 4 1 9 5 3,999 72.2 4 9 2 5 2,999 114 2 1 19 7 4,199 125.4 5 9 6 8 2,259 83.6 3 9 8 9 4,299 133 5 9 2 19 2,899 95 3 9 6 b. Select all independent variables that should be in the nal 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.) a Senior parent 8 Square feet a Family size 3 Income 8 Education c. Write out the regression equation. __l-__:_ c. Write out the regression equation. Square feet = + (Family Size) + (Income) d. Report and interpret the adjusted R2. R2 %