The following is a regression of credit scores based on an individual's age, income, their location (whether they are in the North, South, East or West part of the U.S.) and whether they are a female or a male. The location dummies are North, South and East and the gender dummy is Female. Intercept Age Income North South East Female Coefficients 477.481 2.858 0.024 11.158 13.247 33.946 17.080 Standard Error 44.896 0.907 0.023 3.635 2.834 23.332 14.338 t Stat E. A, B and D 10.635 3.153 1.036 3,070 4.674 1.455 1.191 P-value 0.000 0.003 0.305 0.003 0.002 0.152 0.239 Which one of the following is true? A. Every additional person in the North will increase the credit score of the city by 11.158, all else equal. B. Every additional year of age will increase the credit score by 2.858, all else equal. C. Every additional $100 of income will increase the credit score by 285.8, all else equal. OD. Every additional credit score point will increase the income by 0.024, all else equal.
The following is a regression of credit scores based on an individual's age, income, their location (whether they are in the North, South, East or West part of the U.S.) and whether they are a female or a male. The location dummies are North, South and East and the gender dummy is Female. Intercept Age Income North South East Female Coefficients 477.481 2.858 0.024 11.158 13.247 33.946 17.080 Standard Error 44.896 0.907 0.023 3.635 2.834 23.332 14.338 t Stat E. A, B and D 10.635 3.153 1.036 3,070 4.674 1.455 1.191 P-value 0.000 0.003 0.305 0.003 0.002 0.152 0.239 Which one of the following is true? A. Every additional person in the North will increase the credit score of the city by 11.158, all else equal. B. Every additional year of age will increase the credit score by 2.858, all else equal. C. Every additional $100 of income will increase the credit score by 285.8, all else equal. OD. Every additional credit score point will increase the income by 0.024, all else equal.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 4GP
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The following is a regression of credit scores based on an individual's age, income, their location (whether they are
in the North, South, East or West part of the U.S.) and whether they are a female or a male. The location dummies
are North, South and East and the gender dummy is Female.
Intercept
Age
Income
North
South
East
Female
Coefficients
477.481
2.858
0.024
11.158
13.247
33.946
17.080
Vihich one of the following is true?
Standard Error
44.896
0.907
0.023
3.635
2.834
23.332
14.338
t Stat
10.635
3.153
1.036
3.070
4.674
1.455
1.191
E. A, B and D
P-value
0.000
0.003
0.305
0.003
0.002
0.152
0.239
A. Every additional person in the North will increase the credit score of the city
by 11.158, all else equal.
B. Every additional year of age will increase the credit score by 2.858, all else
equal.
OC. Every additional $100 of income will increase the credit score by 285.8, all
else equal.
D. Every additional credit score point will increase the income by 0.024, all else
equal.
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