The significance of F is the probability that the null hypothesis of your regression model cannot be rejected. To put it another way, it indicates the probability that all of the coefficients in your regression result are zero! The difference between two mean square values is equivalent to the F ratio. If the null hypothesis is accurate, F should be close to 1.0 the vast majority of the time. A high F ratio implies that group mean variance is higher than would be anticipated by chance.