Linear Regression in R

Linear Regression in R

Master linear regression techniques in R through this comprehensive tutorial series. Learn to fit models, interpret outputs, check assumptions, handle categorical variables, analyze interactions, perform partial F-tests, and implement polynomial regression. Gain practical skills in using R for both simple and multiple linear regression, including creating dummy variables, changing reference categories, and assessing model validity through residual plots. Ideal for statistics students and researchers looking to enhance their data analysis capabilities using R.