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.
Prereq: STA 3000 or CIS 2300 or MTH3300 and [((ZICK or ZKTP Student Group) and (ZK4L/ZK4P stdnt grp: details, https://bit.ly/4000-level-bus-courses)) or (STA-BA Plan and 45 credits or NBSTAT-MIN Plan)]. Not open to Economics and Finance majors.