random_walker47

You reject the null if the F stat is greater than the critical value determined from the F table. The null hypothesis is that the test parameters do NOT explain the model. Therefore if you reject the null, you are saying that the independant variables (as a group) do explain the dependant variable to some extent. If you fail to reject the null, it means that the independant variables do not explain the dependant one.