Problem 3 Simple Bivariate Regression Consider the following bivariate regression model: NAMEUIN Page 1 of 2 = Hourly Wages, Bo+B₁Education; + & where Education measures the years of experience at the job for an individual and Hourly Wage is the hourly wage in dollars. The subscript i indexes various people. You run a bivariate OLS regression to estimate Bo and B₁. Suppose you estimate B = 10 and B a. 0 = 2 How do you interpret the estimates ßo and ß₁ in this context? (3 points) 1 b. Define the terms "predicted/fitted value" and "residual”. (3 points) c. Suppose that for some individual, the predicted value of Hourly Wage is $20, and the residual is 2. What is the actual Hourly wage for the individual? Show your work. (4 points) d. Suppose that some individual has 10 years of Education, and his actual hourly wage is $35. What is the predicted outcome and residual for this individual? Show your work. (5 points)

Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)
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Chapter4: Estimating Demand
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Problem 3
Simple Bivariate Regression
Consider the following bivariate regression model:
NAMEUIN
Page 1 of 2
=
Hourly Wages, Bo+B₁Education; + &
where Education measures the years of experience at the job for an individual and
Hourly Wage is the hourly wage in dollars. The subscript i indexes various people. You run
a bivariate OLS regression to estimate Bo and B₁.
Suppose you estimate B = 10 and B
a.
0
= 2
How do you interpret the estimates ßo and ß₁ in this context? (3 points)
1
b. Define the terms "predicted/fitted value" and "residual”. (3 points)
c. Suppose that for some individual, the predicted value of Hourly Wage is $20, and
the residual is 2. What is the actual Hourly wage for the individual? Show your
work. (4 points)
d. Suppose that some individual has 10 years of Education, and his actual hourly wage
is $35. What is the predicted outcome and residual for this individual? Show your
work. (5 points)
Transcribed Image Text:Problem 3 Simple Bivariate Regression Consider the following bivariate regression model: NAMEUIN Page 1 of 2 = Hourly Wages, Bo+B₁Education; + & where Education measures the years of experience at the job for an individual and Hourly Wage is the hourly wage in dollars. The subscript i indexes various people. You run a bivariate OLS regression to estimate Bo and B₁. Suppose you estimate B = 10 and B a. 0 = 2 How do you interpret the estimates ßo and ß₁ in this context? (3 points) 1 b. Define the terms "predicted/fitted value" and "residual”. (3 points) c. Suppose that for some individual, the predicted value of Hourly Wage is $20, and the residual is 2. What is the actual Hourly wage for the individual? Show your work. (4 points) d. Suppose that some individual has 10 years of Education, and his actual hourly wage is $35. What is the predicted outcome and residual for this individual? Show your work. (5 points)
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