Back|MATH 4548Methods of Regression and Analysis of Variance

MATH 4548

MATH

Methods of Regression and Analysis of Variance

21 sections · 279 total students

Avg GPA3.28+0.57 vs dept avg (2.71)
DWF rate13.5%Dept avg: 26.7%
In person91%of sections
Online0%of sections
In person 91%+Online 0%+Other / hybrid 10%= 100%

Grade distribution

Aggregated across all 21 sections · 279 students

Expected grade distribution

Predicted based on historical data · weighted toward recent semesters

Based on 21 sections and 279 students through Spring 2026, students in this course most commonly earn a B with a predicted average GPA of 3.33.

Low confidence
in person:GPA 3.34·19 sections

Predictions are computed using exponentially-weighted historical data, giving more weight to recent semesters. This is not a guarantee of your personal grade outcome.

GPA trend over time

Average GPA per semester · dashed line = department average

Recent sections

TermInstructorStudentsAvg GPADWF %Format
Spring 2026143.570.0%in person
Spring 2025133.3615.4%in person
Spring 202473.3314.3%in person
Spring 2023103.3310.0%in person
Spring 2022163.2912.5%in person
Spring 2021153.1520.0%unknown
Spring 2020193.0610.5%in person
Spring 2019123.3016.7%in person
Spring 2018172.8117.7%in person
Spring 2017173.6911.8%in person
Spring 2016203.1615.0%in person
Spring 2014123.178.3%in person
Spring 2013283.4810.7%in person
Spring 2012123.0025.0%in person
Fall 2011103.2010.0%in person
Spring 2011102.7830.0%in person
Spring 201083.0025.0%in person
Spring 200863.670.0%in person
Spring 200783.1425.0%in person
Summer 200774.000.0%in person

Data from official GSU grade distribution records · 2005–2026 · Aggregate only — no individual student records. GPA uses a 4.30 scale. DWF rate = % of students with D, WF, or F. Learn more