REN R 586 - Analyzing Relationships in Data

Course Career Graduate
Units 1
Approved Hours 1-0-1
Fee index 2
Faculty Agric, Life & Environ Sciences
Department Renewable Resources
Typically Offered second term

Description
Focuses on analyzing complex biological or environmental data for the purpose of prediction and scientific hypothesis testing. Covers multiple regression for a continuous response, logistic regression for a binary response, and log-linear models for count data, non-linear regression and generalized additive models for non-linear relationships, path analysis using structural equation modeling. Prerequisite: knowledge equivalent to REN R 581 and REN R 582 is required.