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>
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The product that is undefined is known a CD, where C is a 3 x 1 matrix and D is a 1 x 2 matrix.
<h3>What is the matrix about?</h3>
Looking at the product of matrix, note that to multiply the two matrix, the column of the first matrix needs to have the same or equal to the row of the 2nd matrix.
And in this case (propensity), it is not satisfied by the first option because:
C = 3 x 1 and
O= 2 x 1 matrix
In this case CD is therefore undefined.
So we can say that The product that is undefined is known a CD, where C is a 3 x 1 matrix and D is a 1 x 2 matrix.
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3 8/10 of a mile. You subtract 5.4 from 9.2 and get 3.8 and 3.8 in fraction form is 3 and 8/10. 3 8/10 simplyfied is 3 4/5
It will take 1 MINUTE for the horse to overtake the train.
<span>(56 – 50) 6 km/hr
</span><span>0.1/6 = 1/60 hr = 1 min </span>
Answer: there are 37 high school students on the bus
Step-by-step explanation:
h+m=54 total number of students
h= 2m+3 total number of HS students
2m+3+m=54 Substitute 2m+3 in for h
3m+3=54
3m=51
m=17
h+17=54
h= 37