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 Square Feet Income (000s) Family Size Senior Parent Education 1   2,300   60.8   2   0   4   2   2,300   68.4   3   1   6   3   3,400   104.5   3   0   7   4   3,360   89.3   4   1   0   5   3,000   72.2   4   0   2   6   2,900   114   3   1   10   7   4,100   125.4   5   0   6   8   2,500   83.6   3   0   8   9   4,200   133   5   0   2   10   2,800   95   3   0   6          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.)  c. Write out the regression equation.     d. Report and interpret the adjusted R2.

College Algebra (MindTap Course List)
12th Edition
ISBN:9781305652231
Author:R. David Gustafson, Jeff Hughes
Publisher:R. David Gustafson, Jeff Hughes
Chapter8: Sequences, Series, And Probability
Section8.7: Probability
Problem 58E: What is meant by the sample space of an experiment?
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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 Square Feet Income (000s) Family Size Senior Parent Education
1   2,300   60.8   2   0   4  
2   2,300   68.4   3   1   6  
3   3,400   104.5   3   0   7  
4   3,360   89.3   4   1   0  
5   3,000   72.2   4   0   2  
6   2,900   114   3   1   10  
7   4,100   125.4   5   0   6  
8   2,500   83.6   3   0   8  
9   4,200   133   5   0   2  
10   2,800   95   3   0   6  
 

 

 

 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.)
 c. Write out the regression equation.
 

 



d. Report and interpret the adjusted R2.
 

R2
 
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