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.

Family	SqrFt	Income	Size	Senior	Education
1	2300	60.8	2	0	4
2	2300	68.4	3	1	6
3	3400	104.5	3	0	7
4	3360	89.3	4	1	0
5	3000	72.2	4	0	2
6	2900	113	2	1	10
7	4100	125.4	5	0	6
8	2250	89.6	3	0	8
9	4200	133	5	0	2
10	2800	98	3	0	6

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.RandR²adj are in percent values. Round your answers to 3 decimal places.)

step	1	2
constant	1,257.692	?
family size	530.385	?
t-statistic	3.862	?
p-value	0.005	0.016
income		?
t-statistic		?
p-value		0.015
s	?	?
R-Sq	65.087	88.548
R-Sq(adj)	60.723	?

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.)

senior parent

square feet

family size

income

education

c.Write out the regression equation.

square feet = ? + ? (family size) + ? income

d.Report and interpret the adjustedR².

R2 ? %