What is the predicted wage of a 25 year old female with 15 years of education and 5 years of experiences?
What is the predicted wage of a 25 year old female with 15 years of education and 5 years of experiences?
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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What is the predicted wage of a 25 year old female with 15 years of education and 5 years of experiences?
![1. Suppose you have a dataset for Y, X, and Z that includes 100 observations. You decide
to estimate the following model:
Y: = Bo + B1Z; + B2X¢ + B3X;-1+ B¾X;-2 + E¢
%3D
How many degrees of freedom will you have for this estimation?
2. Suppose that you are studying the factors which explain a person’ssalary. Your
sample is drawn from workers between the ages of 15 and 65. You estimate the
following regression:
Equation (1)
Wage,
= 1000 + 20Age; + 50Edu¡ + 2.5Exp¡ + 15E×P;² – 500Female;
-
where: Wage is measured in Indonesian Rupiah (thousand)
Age is the person’s age
Educ is the number of years of education
Exp is the working experience
Female is a dummy variable equal to 1 for females, 0 otherwise](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fbe5e255a-2235-4630-a6e1-507feefa0bce%2F49f7a75e-2d8a-4b85-b561-4b81ebfcf261%2Faindq3p_processed.jpeg&w=3840&q=75)
Transcribed Image Text:1. Suppose you have a dataset for Y, X, and Z that includes 100 observations. You decide
to estimate the following model:
Y: = Bo + B1Z; + B2X¢ + B3X;-1+ B¾X;-2 + E¢
%3D
How many degrees of freedom will you have for this estimation?
2. Suppose that you are studying the factors which explain a person’ssalary. Your
sample is drawn from workers between the ages of 15 and 65. You estimate the
following regression:
Equation (1)
Wage,
= 1000 + 20Age; + 50Edu¡ + 2.5Exp¡ + 15E×P;² – 500Female;
-
where: Wage is measured in Indonesian Rupiah (thousand)
Age is the person’s age
Educ is the number of years of education
Exp is the working experience
Female is a dummy variable equal to 1 for females, 0 otherwise
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