Final answer:
Linear regression is a statistical method used to model the relationship between a dependent variable and independent variables by fitting a straight line to a set of data points.
Step-by-step explanation:
Linear regression is a statistical method used to model the relationship between a dependent variable (y) and one or more independent variables (x). It involves fitting a straight line to a set of data points in order to make predictions or analyze the relationship between the variables.
The equation of a linear regression line is represented as y = a + bx, where a is the y-intercept and b is the slope.