Regression Models

Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions. Regression models, a subset of linear models, are the most important statistical analysis tool in a data scientist’s toolkit. This course covers regression analysis, least squares and inference using regression models. Special cases of the regression model, ANOVA and ANCOVA will be covered as well. Analysis of residuals and variability will be investigated. The course will cover

• Use regression analysis, least squares, and inference
• Understand ANOVA and ANCOVA model cases
• Investigate residuals and variability analysis
• Describe novel regression uses like scatterplot smoothing

• Basic statistical knowledge