In particular, OLS for the multiple regression model involves selecting parameters that will minimize:

Ordinary Least Square (OLS) for the multiple regression model involves selecting parameters of a straight line function that will minimize the sum of the squares of the variance in the given dataset and those forecasted by the straight-line function.

Cheers

i got 10.28 but that rounds up to 10.3

h/o/e/s mad

step-by-step explanation:

si si si