STA 4155
Regression and Forecasting Mod · 3 credits · Fall 2026
Requirements
Prereq: STA 3000 or CIS 2300 or MTH 3300 and [((ZICK/ZKTP stdnt grp & (ZK4L/ZK4P stdnt grp: details, https://bit.ly/4000-level-bus-courses)) or (STA-BA Plan w/45 credits or NBSTAT-MIN Plan or ZKDS stdnt grp)]; Not open to Economics and Finance majors.
About this course
This is an applied statistics course on regression and time series models. This course is data driven and makes extensive use of statistical packages such asSAS or R. The topics covered include simple linear and multiple linear and curvilinear regression, binary and polytomous logistic regression, and time seriesmodels. The latter include moving average, autoregressive, and ARMA models. All of these topics are illustrated with business applications and other data.
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