Applied Regression and Time Series. ((3 Credits))

Catalog description

Prerequisite(s): STAT 2040 or STAT 2050 with a grade of C or higher and University Advanced Standing Provides students in non-mathematical disciplines the ability to answer typical research questions for their senior projects or graduate-level research. Includes linear regression, transformations, variable selection techniques, logistic regression, indicator variables, multicollinearity, and ARIMA time series. Satisfies the VEE statistics requirement for the Society of Actuaries. Introduces standard software as a tool for statistical analysis.