Regression Analysis

Three credits · Undergraduate

An investigation of the statistical techniques for modelling the relationship between a dependent variable and one or more independent or predictor variables. Topics include ordinary least squares method and linear regression, matrix algebra and multiple regression, variable selection, residual analysis, multicolinearity, and generalized linear models. Credit will be granted for only one of STAT 357, STAT 435 or DSCI 357. Cross-listed as DSCI 357. Prerequisites: One of MATH 223, 253 and one of STAT 101, 224, 231 or permission of the chair. Three credits and one-hour lab. Not offered 2026-2027; next offered 2027-2028.