STAT_V 306 - L1D

Modelling a response (output) variable as a function of several explanatory (input) variables: multiple regression for a continuous response, logistic regression for a binary response, and log-linear models for count data. Finding low-dimensional structure: principal components analysis. Cluster analysis. (Consult the Credit Exclusion List within the Faculty of Science section in the Calendar). [3-0-1] Prerequisite: One of MATH_V 152, MATH_V 221, MATH_V 223, MATH_O 222 and one of STAT_V 200, STAT_V 241, STAT_V 251, STAT_V 300, BIOL_V 300, BUSI_V 291, COMM_V 191, COMM_V 291, ECON_V 325, ECON_V 327, FRST_V 231, PSYC_V 218, PSYC_V 278, PSYO_O 271, STAT_O 124, STAT_O 205, STAT_O 230 and one of MATH_V 302, STAT_V 302, STAT_O 203.