For the population of people in the workforce in 1976, let y = wage, where wage is measured in dollars per hour. Thus, for a particular person, if wage = 6.75, the hourly wage is $6.75. Let x = educ denote years of schooling; for example, educ =12 corresponds to a complete high school education. Because the average wage in the sample is $5.90, the Consumer Price Index indicates that this amount is equivalent to $24.90 in 2016 dollars.Using the data in WAGE1 where n = 526 individuals, we obtain the following OLS regression line (or sample regression function):
For the population of people in the workforce in 1976, let y = wage, where wage is measured in dollars per hour. Thus, for a particular person, if wage = 6.75, the hourly wage is $6.75. Let x = educ denote years of schooling; for example, educ =12 corresponds to a complete high school education. Because the average wage in the sample is $5.90, the Consumer Price Index indicates that this amount is equivalent to $24.90 in 2016 dollars.Using the data in WAGE1 where n = 526 individuals, we obtain the following OLS regression line (or sample regression function):
Essentials of Business Analytics (MindTap Course List)
2nd Edition
ISBN:9781305627734
Author:Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson
Publisher:Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson
Chapter6: Statistical Inference
Section: Chapter Questions
Problem 9P: The Economic Policy Institute periodically issues reports on wages of entry-level workers. The...
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For the population of people in the workforce in 1976, let y = wage, where wage is measured in dollars per hour. Thus, for a particular person, if wage = 6.75, the hourly wage is $6.75. Let x = educ denote years of schooling; for example, educ =12 corresponds to a complete high school education. Because the average wage in the sample is $5.90, the Consumer Price Index indicates that this amount is equivalent to $24.90 in 2016 dollars.
Using the data in WAGE1 where n = 526 individuals, we obtain the following OLS regression line (or sample regression function):
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