Dive into the fundamentals of linear regression in this 30-minute tutorial by Professor Knudson. Explore simple linear regression using matrix notation, then progress to multiple linear regression, covering notation, dimensions, properties of regression estimators, inference for regression coefficients, mean squared error, R-squared, and adjusted R-squared. Gain essential knowledge for statistical analysis and predictive modeling.