Description: Simple linear, multiple linear, curvilinear, and multiple curvilinear regression models. Simple, multiple, and partial correlation. Variable selection techniques. Letter grade only. Course fee required.
Sections offered: Fall 2019
Prerequisite: (STA 270 or STA 275 with grades >= C) and (MAT 136 or MAT 136H) with grades of C or better or Math Placement Test Results (ALEKS/MATHA 65+; MATHC 65+; PLACE 70+)