What are p-values in regression?

Can you explain what p-values are in the context of regression analysis?

Sure! A p-value helps determine the significance of your regression coefficients. It indicates the probability of observing the data if the null hypothesis is true.

What does a low p-value signify?

A low p-value (typically < 0.05) suggests that you can reject the null hypothesis, indicating that the predictor variable has a statistically significant effect on the response variable.

And what about a high p-value?

A high p-value indicates that there is not enough evidence to reject the null hypothesis, suggesting that the predictor may not have a significant effect.

How do I interpret p-values in my regression output?

You should look at the p-values associated with each coefficient. If they are below your significance level (like 0.05), those predictors are considered significant.