How do I interpret linear regression coefficients?

Can you explain how to interpret the coefficients in a linear regression model?

Sure! In a linear regression model, each coefficient represents the change in the dependent variable for a one-unit change in the independent variable, holding all other variables constant.

What does it mean if a coefficient is negative?

A negative coefficient indicates that as the independent variable increases, the dependent variable tends to decrease, assuming all other variables remain constant.

How do I know if a coefficient is statistically significant?

You can check the p-value associated with each coefficient. A common threshold is 0.05; if the p-value is below this, the coefficient is considered statistically significant.

Can you give an example of interpreting a coefficient?

Of course! If you have a coefficient of 2 for a variable representing hours studied, it means that for each additional hour studied, the exam score is expected to increase by 2 points.