How do you interpret a linear model?

A linear model represents the relationship between a dependent variable and one or more independent variables using a straight line. The coefficients indicate the strength and direction of the relationship; for instance, a positive coefficient suggests that as the independent variable increases, the dependent variable also increases. The model's intercept represents the expected value of the dependent variable when all independent variables are zero. Overall, interpreting a linear model involves analyzing these coefficients to understand how changes in the predictors affect the response variable.