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Virginia Tech

STAT-4214: Methods of Regression Analysis

Description: Multiple regression including variable selection procedures; detection and effects of multicollinearity; identification and effects of influential observations; residual analysis; use of transformations. Non-linear regression, the use of indicator variables, and logistic regression. Use of SAS.

Pathways: N/A

Course Hours: 3 credits

Corequisites: N/A

Crosslist: N/A

Repeatability: N/A

Sections Taught: 26

Average GPA: 3.43 (rounds to B+)

Strict A Rate (No A-) : 44.51%

Average Withdrawal Rate: 1.85%

Feng Guo202381.3%18.6%0.0%0.0%0.0%0.0%3.802
Zhiyang Zhang202365.4%11.5%15.3%7.6%0.0%0.0%3.351
Gordon G Vining202438.1%47.2%4.2%0.9%5.0%4.5%3.124
Matthew D Slifko201970.0%19.9%10.0%0.0%0.0%0.0%3.581
Sierra N Merkes202490.0%6.0%3.4%0.6%0.0%0.0%3.864
Frederick W Faltin202061.0%37.6%1.4%0.0%0.0%0.0%3.592
Anne R Driscoll202476.3%17.8%5.2%0.0%0.0%0.8%3.663
Leah R Johnson202237.9%36.0%13.3%7.1%2.3%3.3%3.045
Villa Ana Maria Ortega202440.0%60.0%0.0%0.0%0.0%0.0%3.461
Jared Clark202385.7%14.2%0.0%0.0%0.0%0.0%3.751
George R Terrell202433.3%33.3%0.0%0.0%22.2%11.1%2.551
Parul Vijay Patil202277.0%23.1%0.0%0.0%0.0%0.0%3.681

Grade Distribution Over Time

1234GPA
Spring 2019Fall 2019Spring 2020Fall 2020Spring 2021Fall 2021Spring 2022Summer I 2022Fall 2022Spring 2023Summer I 2023Fall 2023Spring 2024Summer I 2024Fall 2024Term050% W