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.
Chat with our AI personalities
That means your hands are not small, but large. You're welcome.
a large mean differecnce and large sample variance
No. A small standard deviation with a large mean will yield points further from the mean than a large standard deviation of a small mean. Standard deviation is best thought of as spread or dispersion.
The mean is the measure of central tendency that is most affected by a few large or small numbers. The median is more robust for extreme values.
It has the same shape, mean, and standard deviation as the population.