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
Answer:
Ok I got it it’s 50
Step-by-step explanation:
because To divide by
1
5
, multiply by its reciprocal, 5.
10÷
1
5
= 105
= 50
Answer:
1
Step-by-step explanation:
4+3/3-4
3/3 = 1
4-4 = 0
1 + 0 = 1
Answer:
math.way is great for this
Step-by-step explanation:
i hope that helps