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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. Family Square Feet 1 2 3 4 5 6 7 8 9 10 2,300 2,300 3,400 3,360 3,000 2,900 4,100 2,500 4, 200 2,800 Income (000s) 60.8 68.4 104.5 89.3 72.2 114 125.4 83.6 133 95 Family Size 2 3 3 4 4 3 5 3 5 3 Senior Parent 0 1 0 1 0 1 0 0 0 0 Education 4 6 7 0 2 10 6 8 2 6

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 Square Feet 1 2 3 4 5 6 7 8 9 10 2,300 2,300 3,400 3,360 3,000 2,900 4,100 2,500 4, 200 2,800 Income (000s) 60.8 68.4 104.5 89.3 72.2 114 125.4 83.6 133 95 Family Size 2 3 3 4 4 3 5 3 5 3 Senior Parent 0 1 0 1 0 1 0 0 0 0 Education 4 6 7 0 2 10 6 8 2 6

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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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 1 2 3 4 5 6 7 8 9 10 2,300 2,300 3,400 3,360 3,000 2,900 4,100 2,500 4, 200 2,800 Income (000s) 60.8 68.4 104.5 89.3 72.2 114 125.4 83.6 133 95 Family Size 2 3 3 4 4 3 5 3 5 3 Senior Parent 0 1 0 1 0 1 0 0 0 0 Education 4 6 7 0 2 10 6 8 2 6
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, 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 1 2 3 4 5 6 7 8 9 10 2,300 2,300 3,400 3,360 3,000 2,900 4,100 2,500 4, 200 2,800 Income (000s) 60.8 68.4 104.5 89.3 72.2 114 125.4 83.6 133 95 Family Size 2 3 3 4 4 3 5 3 5 3 Senior Parent 0 1 0 1 0 1 0 0 0 0 Education 4 6 7 0 2 10 6 8 2 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. R and R2 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 S R-Sq R-Sq(adj) 1 0.001 2 0.007 0.015
Transcribed Image Text: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.) Step Constant Family Size t-statistic p-value Income t-statistic p-value S R-Sq R-Sq(adj) 1 0.001 2 0.007 0.015
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