This lecture covers the research process, scientific investigations, bivariate data, modeling bivariate data, simple linear regression, distribution of Y conditional on X, sampling distribution of parameters, multiple regression, types of studies, exploratory analysis, numerical summaries, correlation, causation, sample correlation coefficient, modeling an oval-shaped point cloud, simple linear regression, prediction by regression, least squares, and interpretation of the parameters.