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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, O for no), and the total years of education beyond high school for the husband and wife. The sample information is reported below. Senior Square Feet Income Family Family (000s) Size Parent Education 4. 60.8 68.4 2 2,240 2,300 3,400 3,360 3,000 2,900 4,100 2,520 4,200 2,800 2 1 3. 104.5 3 4 89.3 4 72.2 4. 114 10 7 125.4 8 83.6 3 9. 133 10 95 3. 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 "O" wherever required. RandR adj are in percent values. Round your answers to 3 decimal places.) Step Constant Family Size t-statistic p-value Income t-statistic p-value R-Sq R-Sq(adj) 6792Oo coND

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. Senior Square Feet Income Family Family (000s) Size Parent Education 4. 60.8 68.4 2 2,240 2,300 3,400 3,360 3,000 2,900 4,100 2,520 4,200 2,800 2 1 3. 104.5 3 4 89.3 4 72.2 4. 114 10 7 125.4 8 83.6 3 9. 133 10 95 3. 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 "O" wherever required. RandR adj are in percent values. Round your answers to 3 decimal places.) Step Constant Family Size t-statistic p-value Income t-statistic p-value R-Sq R-Sq(adj) 6792Oo coND

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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 2 Family size ? Income ? Education c. Write out the regression equation. Square feet = (Family Size) + (Income) d. Report and interpret the adjusted R.
Transcribed Image Text: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 2 Family size ? Income ? Education c. Write out the regression equation. Square feet = (Family Size) + (Income) d. Report and interpret the adjusted R.
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 Senior Square Feet Income Family Parent Education (000s) 60.8 68.4 Size 2 4. 2,240 2,300 3,400 3,360 3,000 2,900 2 1 6 3. 104.5 3 4 89.3 4 72.2 4. 2 114 10 6. 4,100 2,520 4,200 2,800 7 125.4 8 83.6 8. 9. 133 2 10 95 3. 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 "O" wherever required. R andR adj are in percent values. Round your answers to 3 decimal places.) Step Constant Family Size t-statistic p-value Income t-statistic p-value R-Sq R-Sq(adj)
Transcribed Image Text: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 Senior Square Feet Income Family Parent Education (000s) 60.8 68.4 Size 2 4. 2,240 2,300 3,400 3,360 3,000 2,900 2 1 6 3. 104.5 3 4 89.3 4 72.2 4. 2 114 10 6. 4,100 2,520 4,200 2,800 7 125.4 8 83.6 8. 9. 133 2 10 95 3. 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 "O" wherever required. R andR adj are in percent values. Round your answers to 3 decimal places.) Step Constant Family Size t-statistic p-value Income t-statistic p-value R-Sq R-Sq(adj)
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