introduction to linear regression analysis 4th edition
ssion models using various statistical software. Addressing common issues and pitfalls in model development, including multicollinearity, heteroscedasticity, and outliers. Introducing extensions of simple linear regression, such as multiple regression and logistic regression. Fostering critical th