Final answer:
The p-value tells us whether or not a predictor variable has a "significant" (statistically speaking) relationship with the dependent variable.
Step-by-step explanation:
The p-value tells us whether or not a predictor variable has a "significant" (statistically speaking) relationship with the dependent variable.
For example, if the p-value is less than the significance level (usually 0.05), we reject the null hypothesis and conclude that there is a significant relationship between the predictor variable and the dependent variable.
This is important in regression analysis because it helps us determine the validity and strength of the relationship between variables.