MAT 3375 Regression Analysis
3 units
Mathematics
Faculty of Science
Modeling relationships between outcome (dependent) variables and covariates (independent variables) using simple and multiple linear regression models. Estimation and hypothesis testing using least squares and likelihood methods. Performing model diagnostics and assessing goodness of fit properties. Variable selection and finding the best fit. Non-linear regression and transformations. Weighted regression and generalized least square. Analysis of data using statistical software packages.
Components:
Laboratory
Lecture
Previously Offered Terms:
Fall
Summer
French Equivalent:
All Professors
B Average (5.877)
Most Common: A+ (15%)
544 students
F
D
C
B
A-
A+