How many predictors do I have in this regression?Coefficients:(Intercept)pubtimeEstimate Std. Error t value Pr(>|t|)43082.43099.5149.7452.1121.8982.9고13.900 9.26e-09 ***0.8140.43172.1740.0504.

In regression analysis, the predictor variables, also called as independent variable is used to…

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Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter5: Inverse, Exponential, And Logarithmic Functions

Section5.3: The Natural Exponential Function

Problem 43E

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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 e) Are any of the explanatory (independent) variables significant at the 10% level of significance? How do you know? f) What is the predicted value of income for a person that has been in a house for 5 years, is 38 years old, is a male, has a house valued at $250,000, and has $100,000 left on their mortgage? (g) What is the effect on the income of a person being a male versus a female?
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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?

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How many predictors do I have in this regression? Coefficients: (Intercept) pub time Estimate Std. Error t value Pr(>|t|) 43082.4 3099.5 149.7 452.1 121.8 982.9 13.900 9.26e-09 *** 0.814 2.174 0.4317 0.0504 .