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?
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?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
100%
**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?

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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