electiveHQ

Topics covered: 1. Matrix revision and Exploratory data analysis; 2. Simple linear regression (SLR): properties of least squares estimates; t-tests; F-tests; Confidence intervals; Prediction intervals; Complete SLR analysis in the R statistical software; 3. Multiple linear regression (MLR): properties of least squares estimates; t-tests; F-tests; Confidence intervals; Prediction intervals; Complete MLR analysis in the R statistical software; 4. Categorical Predictors and Interactions 5. Analysis of Variance 6. Regression Diagnostics 7. Variable Selection and Model Building All the material is supplemented with its implementation in the R programming language which is rated 7th in IEEE list of top programming languages.