Discuss how you would explain to someone why the skewness of a distribution can be negative, but the variance and kurtosis of the same distribution can only be positive. Explain how the distinction is inherent in the concepts themselves, and not just as a by-product of the way they are calculated.

Pls i’m dumb as heck i’ll give y’all so many points if that encourages you

The table below shows the height of a ball  x  seconds after being kicked.  what values, rounded to the nearest whole number, complete the quadratic regression equation that models the data? f(x)  =  x2  +  x  +  0based on the regression equation and rounded to the nearest whole number, what is the estimated height after 0.25 seconds?   feet

If you have the following equation, 2/3x+5/6-x=2-3/4x what would you multiply each term by to get rid of all the fractions