Learn how to make predictions using Simple Linear Regression. To do this you need to use the Linear Regression Function (y = a + bx) where "y" is the dependent variable, "a" is the y intercept, "b" is the slope of the regression line, and "x" is the independent variable.

This video also shows you how to determine the slope (b) of the regression line, and the y intercept (a).

In order to determine the slope of a line you will need to first determine the Pearson Correlation Coefficient - this is described in a separate video (   • How To... Calculate Pearson's Correla...  ).