This document continues the introduction to regression analysis using a real dataset on homework deadlines and student performance. It focuses on interpreting regression results, evaluating the strength of relationships using R^2, testing for statistical significance using the F-test, examining the ANOVA table, and using the fitted regression model to make predictions.

An introductory tutorial on simple linear regression in R using a real dataset on homework time and student performance. The document covers scatterplots, regression modelling, residuals, R^2, hypothesis testing, and prediction.

Lecture Material week 5

Answering Social Research Questions with Statistical Models SOST20131/SOST30031 week_4 lecture material: Regression Modelling

A brief introduction to regression modelling