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: either STAT 342, STAT 421, or STAT 481/ECON 481. Offered: W.

Current Time Schedule

Winter, 2021

SLN/Section Time Location Instructor
20454 A
Open

M F 2:30PM - 3:20PM

M F 2:30PM - 3:20PM

* *

* *

Ema Perkovic

Jie Gao

STAT 423 WITHERED WITH STAT 504 OFFERED VIA REMOTE LEARNING