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This lecture covers bivariate data analysis, correlation, and regression techniques. It starts with exploring the relation between two variables using scatterplots and correlation coefficients. The lecture then delves into simple linear regression, model selection, and diagnostics for model assessment. It also discusses influential points, prediction intervals, and the interpretation of regression coefficients.