Applied Linear Regression Models

Abstract

Part1 Simple Linear Regression 1Linear Regression with One Predictor Variable 2Inferences in Regression and Correlation Analysis 3Diagnostics and Remedial Measures 4 Simultaneous Inferences and Other Topics in Regression Analysis 5Matrix Approach to Simple Linear Regression Analysis Part 2Multiple Linear Regression 6Multiple Regression I 7 Multiple Regression II 8Building the Regression Model I: Models for Quantitative and Qualitative Predictors 9 Building the Regression Model II: Model Selection and Validation 10Building the Regression Model III: Diagnostics 11Remedial Measures and Alternative Regression Techniques 12Autocorrelation in Time Series Data Part 3Nonlinear Regression 13Introduction to Nonlinear Regression and Neural Networks 14Logistic Regression, Poisson Regression, and Generalized Linear Models