STAT_V 306 - 101

Finding Relationships in Data

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 152, MATH 221, MATH 223 and one of STAT 200, STAT 241, STAT 251, STAT 300, BIOL 300, BUSI 291, COMM 191, COMM 291, ECON 325, ECON 327, FRST 231, PSYC 218, PSYC 278 and one of MATH 302, STAT 302.

Section
STAT_V 306 -101
Campus
Vancouver
Delivery Mode
In person
Term
2025-26 Winter Term 1 (UBC-V)
Instructional Format
Lecture
Credits
3.00
Start Date
End Date
Days
Monday, Friday
Start Time
10:30 am
End Time
12:00 pm
Instructor(s)
  • Rodolfo Lourenzutti

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