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. Prerequisite: either STAT 342 or STAT 421. Offered: W.