How do I interpret regression coefficients in my analysis?

How do I interpret regression coefficients in my analysis?

Regression coefficients represent the relationship between independent variables and the dependent variable. A positive coefficient indicates that as the independent variable increases, the dependent variable also increases, while a negative coefficient suggests the opposite.

Can you give me an example of how to interpret a coefficient?

Sure! 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, assuming all other variables are held constant.

What does it mean if a coefficient is not statistically significant?

If a coefficient is not statistically significant, it suggests that there is not enough evidence to conclude that the independent variable has an effect on the dependent variable. This could mean the relationship is weak or that the sample size is too small.

How can I check if my coefficients are significant?

You can check the significance of your coefficients by looking at the p-values associated with them. A common threshold is 0.05; if the p-value is below this, the coefficient is considered statistically significant.