Answer:
Step-by-step explanation:
Answer:
Ordinary Least Square (OLS) for the multiple regression model involves selecting parameters of a straight line function that will minimize <u>the sum of the squares of the variance in the given dataset and those forecasted by the straight-line function.</u>
Cheers
It would sure help a lot if I could take a peek at the drawings of the triangles.
Answer:
i´ll help here
the smallest is (-3)^0
the second smallest or biggest is 16^1/2
the biggest one is (1/27)^-1/3
Step-by-step explanation:
hope this is correct
Answer:
Step-by-step explanation:
8 and 47
