Final answer:
The slope and y-intercept of the regression line provide information about the relationship between the independent variable (x) and the dependent variable (y) in a linear regression model.
Step-by-step explanation:
The slope and y-intercept of the regression line provide information about the relationship between the independent variable (x) and the dependent variable (y) in a linear regression model.
The slope represents the rate of change of the dependent variable for a unit change in the independent variable. A positive slope indicates that as the independent variable increases, the dependent variable also increases, and vice versa. The y-intercept is the value of the dependent variable when the independent variable is zero.