The F statistic is statistic which may be used to test whether a regression accounts for a statistically significant proportion of the observed variation in the dependent variable.
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A high F statistic would results in a lower Sig, or P value, which would indicate that your results are significant.
the populations have an excess of heterozygotes
No The test statistic F-Test is a sum of squares, which by definition of squaring a number it must be positive.
An F-statistic is a measure that is calculated from a sample. It is a ratio of two lots of sums of squares of Normal variates. The sampling distribution of this ratio follows the F distribution. The F-statistic is used to test whether the variances of two samples, or a sample and population, are the same. It is also used in the analysis of variance (ANOVA) to determine what proportion of the variance can be "explained" by regression.
The F-statistic is a test on ratio of the sum of squares regression and the sum of squares error (divided by their degrees of freedom). If this ratio is large, then the regression dominates and the model fits well. If it is small, the regression model is poorly fitting.