STAT 423
Applied Regression and Analysis of Variance
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. Course overlaps with: PSYCH 480 and TSTAT 430. Prerequisite: STAT 342, which may be taken concurrently; and MATH 208. Offered: W.