Coefficients Error t Stat 1.96 2.95 4.09 p-Value 0.0558 7.73 1.15 0.45 3.94 tercept ducation xperience 0.39 0.11 0.0050 0.0002 0.7404 -0.03 0.09 -0.33 1. Interpret the point estimate for B1. As Education increases by 1 year, Wage is predicted to increase by 1.15/hour. As Education increases by 1 year, Wage is predicted to increase by 0.45/hour. As Education increases by 1 year, Wage is predicted to increase by 1.15/hour, holding Age and Experience constant. As Education increases by 1 year, Wage is predicted to increase by 0.45/hour, holding Age and Experience constant. 2. Interpret the point estimate for B2. As Experience increases by 1 year, Wage is predicted to increase by 1.15/hour. As Experience increases by 1 year, Wage is predicted to increase by 0.45/hour. As Experience increases by 1 year, Wage is predicted to increase by 1.15/hour, holding Age and Education constant. As Experience increases by 1 year, Wage is predicted to increase by 0.45/hour, holding Age and Education constant. What is the sample regression equation? (Negative values should be indicated by a nus sign. Round your answers to 2 decimal places.) Experience+ Age Education+ Predict the hourly wage rate for a 39-year-old worker with 3 years of higher education d 2 years of experience. (Do not round intermediate calculations. Round your swer to 2 decimal places.)

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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B and c
Using data from 50 workers, a researcher estimates Wage = Bo + B1Education +
B2Experience + B3Age + ɛ, where Wage is the hourly wage rate and Education,
Experience, and Age are the years of higher education, the years of experience, and the
age of the worker, respectively. The regression results are shown in the following table.
Standard
p-Value
0.0558
Coefficients
Error
t Stat
Intercept
Education
7.73
3.94
1.96
1.15
0.39
2.95
0.0050
Experience
0.45
0.11
4.09
0.0002
Age
-0.03
0.09
-0.33
0.7404
a-1. Interpret the point estimate for B1.
OAs Education increases by 1 year, Wage is predicted to increase by 1.15/hour.
OAs Education increases by 1 year, Wage is predicted to increase by 0.45/hour.
OAs Education increases by 1 year, Wage is predicted to increase by 1.15/hour, holding Age and
Experience constant.
OAs Education increases by 1 year, Wage is predicted to increase by 0.45/hour, holding Age and
Experience constant.
a-2. Interpret the point estimate for B2.
OAs Experience increases by 1 year, Wage is predicted to increase by 1.15/hour.
OAs Experience increases by 1 year, Wage is predicted to increase by 0.45/hour.
OAs Experience increases by 1 year, Wage is predicted to increase by 1.15/hour, holding Age
and Education constant.
OAs Experience increases by 1 year, Wage is predicted to increase by 0.45/hour, holding Age
and Education constant.
b. What is the sample regression equation? (Negative values should be indicated by a
minus sign. Round your answers to 2 decimal places.)
Education +
Experience +
Age
c. Predict the hourly wage rate for a 39-year-old worker with 3 years of higher education
and 2 years of experience. (Do not round intermediate calculations. Round your
answer to 2 decimal places.)
Transcribed Image Text:Using data from 50 workers, a researcher estimates Wage = Bo + B1Education + B2Experience + B3Age + ɛ, where Wage is the hourly wage rate and Education, Experience, and Age are the years of higher education, the years of experience, and the age of the worker, respectively. The regression results are shown in the following table. Standard p-Value 0.0558 Coefficients Error t Stat Intercept Education 7.73 3.94 1.96 1.15 0.39 2.95 0.0050 Experience 0.45 0.11 4.09 0.0002 Age -0.03 0.09 -0.33 0.7404 a-1. Interpret the point estimate for B1. OAs Education increases by 1 year, Wage is predicted to increase by 1.15/hour. OAs Education increases by 1 year, Wage is predicted to increase by 0.45/hour. OAs Education increases by 1 year, Wage is predicted to increase by 1.15/hour, holding Age and Experience constant. OAs Education increases by 1 year, Wage is predicted to increase by 0.45/hour, holding Age and Experience constant. a-2. Interpret the point estimate for B2. OAs Experience increases by 1 year, Wage is predicted to increase by 1.15/hour. OAs Experience increases by 1 year, Wage is predicted to increase by 0.45/hour. OAs Experience increases by 1 year, Wage is predicted to increase by 1.15/hour, holding Age and Education constant. OAs Experience increases by 1 year, Wage is predicted to increase by 0.45/hour, holding Age and Education constant. b. What is the sample regression equation? (Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.) Education + Experience + Age c. Predict the hourly wage rate for a 39-year-old worker with 3 years of higher education and 2 years of experience. (Do not round intermediate calculations. Round your answer to 2 decimal places.)
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