• 6.1: The Regression Model

      • 6.1.1: Scatter Plot of Two Variables and Regression Line

        • Introduction to Linear Regression Book

          This section defines simple linear regression, uses scatter plots to reveal linear patterns, and talks about prediction error. It also discusses how to compute regression line by minimizing squared errors.

        • Linear Regression Book

          Read these sections on linear regression. Linear regression, the simplest form of regression, is used to obtain a linear relationship between two variables.

      • 6.1.2: Correlation Coefficient

        • Correlation Book
          Read these sections on correlation. You will learn the interpretation and calculation of the correlation coefficient, how to test its significance, and the relation between correlation and causation.
        • The Linear Correlation Coefficient Book

          Read this discussion on linear correlation. You will learn what the linear correlation coefficient is, how to compute it, and what it tells us about the relationship between two variables x and y.

      • 6.1.3: Sums of Squares

        • Partitioning Sums of Squares Book

          This section discusses the sums of squares, including partitioning sum of squares into sums of squares predicted and sum of squares error.

        • Regression Lines Page

          Watch these videos, which discuss the regression line.