161.221 Applied Linear Models (15 credits)

Statistical linear models for application in science, business and social science. Topics include simple and multiple regression; linear models with categorical explanatory variables; model diagnostics; inference for linear models; polynomial regression; models for time dependence; methods for variable selection; and weighted regression.

Note(s): Access to a Windows PC and an approved statistics package are required for analysis of data.

Requirements

• Prerequisite(s): (One of (161.122 or 161.220 or 233.214) and one of (160.101 or 160.102 or 160.105)) or one of 161.101, 161.120 or 161.130
  General Prerequisite: At least 45 credits from 100 level.
• Restriction(s): 161.251

Offerings

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