24 Testing a Hypothesis in a Linear Regression

This video explains how to test hypotheses in simple linear regression, focusing on the parameter beta. We start with a regression model and explore why testing beta's value is crucial for understanding the relationship between variables. The process involves setting up null and alternative hypotheses, calculating a t-statistic using sample estimates and standard errors, and determining the p-value from the t-distribution. Ultimately, we learn how to interpret the p-value relative to significance levels to decide whether to reject the null hypothesis. Visit AxiomTutoring.com and subscribe to @AxiomTutoringCourses.