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5.0
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5.0
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1,000
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99%
Would take again
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Search Results
| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
EPPS 6316 James Harrington | |||||
A- | |||||
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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
EPPS 6316 James Harrington | |||||
A- | |||||
Grades: 806
Median GPA: A
Mean GPA: 3.762
4.4
Professor rating
2.5
Difficulty
10
Ratings given
86%
Would take again
Applied Regression
EPPS 6316
School of Economic, Political and Policy Sciences
This course provides a survey of the bivariate and multiple regression models estimated using Ordinary Least Squares (OLS), with an emphasis on using regression models to test social and economic hypotheses. This application-focused course presents examples drawn from economics, political science, public policy and sociology, introduces the basic concepts and interpretation of regression models, and basic methods of inference. Topics are supported by computer-supported data analyses. 3 credit hours.
Prerequisite: EPPS 6313 or EPPS 7313.
Offering Frequency: Each semester
Grades: 290
Median GPA: A-
Mean GPA: 3.436
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Grades: 806
Median GPA: A
Mean GPA: 3.762
4.4
Professor rating
2.5
Difficulty
10
Ratings given
86%
Would take again
Applied Regression
EPPS 6316
School of Economic, Political and Policy Sciences
This course provides a survey of the bivariate and multiple regression models estimated using Ordinary Least Squares (OLS), with an emphasis on using regression models to test social and economic hypotheses. This application-focused course presents examples drawn from economics, political science, public policy and sociology, introduces the basic concepts and interpretation of regression models, and basic methods of inference. Topics are supported by computer-supported data analyses. 3 credit hours.
Prerequisite: EPPS 6313 or EPPS 7313.
Offering Frequency: Each semester
Grades: 290
Median GPA: A-
Mean GPA: 3.436
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