STAT 423

Applied Regression and Analysis of Variance
4.0 credits

Course Description

Least squares; simple/multiple linear regression including interpretation; variable selection; analysis of covariance; assumptions and diagnostics/remedies; weighting and generalized least squares; hypothesis testing. Analyses of real data to illustrate concepts. Prerequisite: STAT 342, which may be taken concurrently; and MATH 208 Offered: W.

Current Time Schedule

Winter, 2025

SLN/Section Time Location Instructor
20762 A
Open

M 8:30AM - 10:20AM

PCAR 391

Emanuela Furfaro

COURSE IS ONLY FOR STAT MAJOR. PLEASE SUBSCRIBE TO UW NOTIFY IF YOU WOULD LIKE TO GET SEAT ALERTS FROM THE UNIVERSITY. PLEASE CONTINUE TO USE UW NOTIFY BEFORE AND AFTER QUARTER STARTS.

 

 

22051 AA
Open

W 9:30AM - 10:20AM

PCAR 391

Isabelle Thiara

 

 

22052 AB
Open

W 9:30AM - 10:20AM

DEM 012

Simon Dovan Nguyen