Reputation: 25
In a multiple linear regression, if I would like to know is there a relationship between the response and predictors,
The book said how large does the F-value need to be before reject Ho depends on the p-value. I just wondered if there gonna be a case where p-value and f-statistics suggest different things. Then which one should we rely on?
Thanks!
Upvotes: 1
Views: 973
Reputation: 233
The F-statistic and p-value will not conflict with each other. The p-value is a measure of how extreme the F-statistic is - it's a tail probability from the F distribution.
So, for example, suppose your criterion of choosing the alternative hypothesis is a p-value less than or equal to 0.05 (a commonly used value) and the F distribution critical point corresponding to this p-value is 2.2
Then if the F statistic is > 2.2 the null hypothesis is rejected. If this occurs, the p-value must be < 0.05
Correspondingly, if the p-value is < 0.05, then the F statistic must be > 2.2
Upvotes: 2