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**Based on the regression results, answer the following questions** Data are collected on the income (measured in $1000’s of $’s), house value (measured in $1000’s of $’s), years in a home, age, sex (=1 for male, =0 for female), and the amount outstanding on a mortgage (measured in $1000’s of $’s). The dependent variable is income. Based on the regression results, answer the following questions b) What is the estimated regression equation? c) How much of the variation in income is explained by the regressors? d) What is the standard error of the error term in the regression equation?

**Based on the regression results, answer the following questions** Data are collected on the income (measured in $1000’s of $’s), house value (measured in $1000’s of $’s), years in a home, age, sex (=1 for male, =0 for female), and the amount outstanding on a mortgage (measured in $1000’s of $’s). The dependent variable is income. Based on the regression results, answer the following questions b) What is the estimated regression equation? c) How much of the variation in income is explained by the regressors? d) What is the standard error of the error term in the regression equation?

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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**Based on the regression results, answer the following questions** Data are collected on the income (measured in $1000’s of $’s), house value (measured in $1000’s of $’s), years in a home, age, sex (=1 for male, =0 for female), and the amount outstanding on a mortgage (measured in $1000’s of $’s). The dependent variable is income. Based on the regression results, answer the following questions b) What is the estimated regression equation? c) How much of the variation in income is explained by the regressors? d) What is the standard error of the error term in the regression equation?
4) Data are collected on the income (measured in $1000's of $'s), house value (measured in $1000's of S's), years in a home, age, sex (=1 for male, =0 for female), and amount outstanding on a mortgage (measured in $1000's of S's). The dependent varlable is income. a) Complete the missing (highlighted) boxes SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations .866 25 ANOVA df SS MS F Significance F 3.47109E-05 Regression Residual Total 19.89 3.98 11.39 6.64 0.35 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept Value 28.242 2.986 0.000 0.029 0.005 0.000 Years 0.650 0.241 0.014 Age Sex |-0.049 0.031 0.134 0.723 0.249 0.009 Mortgage -0.00040 0.00127 0.75315
Transcribed Image Text:4) Data are collected on the income (measured in $1000's of $'s), house value (measured in $1000's of S's), years in a home, age, sex (=1 for male, =0 for female), and amount outstanding on a mortgage (measured in $1000's of S's). The dependent varlable is income. a) Complete the missing (highlighted) boxes SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations .866 25 ANOVA df SS MS F Significance F 3.47109E-05 Regression Residual Total 19.89 3.98 11.39 6.64 0.35 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept Value 28.242 2.986 0.000 0.029 0.005 0.000 Years 0.650 0.241 0.014 Age Sex |-0.049 0.031 0.134 0.723 0.249 0.009 Mortgage -0.00040 0.00127 0.75315
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