Introduction to Linear Regression and Correlation
In another example, your income may be determined by your education, your profession, your years of experience, and your ability. The amount you pay a repair person for labor is often determined by an initial amount plus an hourly fee.
The type of data described in the examples is bivariate data — “bi” for two variables. In reality, statisticians use multivariate data, meaning many variables.
In this chapter, you will be studying the simplest form of regression, “linear regression” with one independent variable (x). This involves data that fits a line in two dimensions. You will also study correlation which measures how strong the relationship is.