Students are introduced to applications of regression-based concepts. Students learn a variety of concepts related to the simple linear regression model including coefficient of determination and basic inferences. Students extend their understanding and application to other linear regressions such as multiple and logistic regressions. Students to perform other variants of regression including time-series and nonparametric regression. Students learn various methods of diagnostics, types of fallacies, and other issues that can arise in regression. Prerequisite: C or better in ADSC 1000
Students are introduced to applications of regression-based concepts. Students learn a variety of concepts related to the simple linear regression model including coefficient of determination and basic inferences. Students extend their understanding and application to other linear regressions such as multiple and logistic regressions. Students to perform other variants of regression including time-series and nonparametric regression. Students learn various methods of diagnostics, types of fallacies, and other issues that can arise in regression. Prerequisite: C or better in ADSC 1000
