The type of polynomial that would best model the data is a <em>cubic</em> polynomial. (Correct choice: D)
<h3>What kind of polynomial does fit best to a set of points?</h3>
In this question we must find a kind of polynomial whose form offers the <em>best</em> approximation to the <em>point</em> set, that is, the least polynomial whose mean square error is reasonable.
In a graphing tool we notice that the <em>least</em> polynomial must be a <em>cubic</em> polynomial, as there is no enough symmetry between (10, 9.37) and (14, 8.79), and the points (6, 3.88), (8, 6.48) and (10, 9.37) exhibits a <em>pseudo-linear</em> behavior.
The type of polynomial that would best model the data is a <em>cubic</em> polynomial. (Correct choice: D)
To learn more on cubic polynomials: brainly.com/question/21691794
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The answer is 1,632. You multiply 16 by 17 then by 12 to get 3,264. But since it is a triangle, which is half of a rectangle, you divide by 2, and you get 1,632. Hope this helps!
Aye Sir!
Answer:
100 sq ft
Step-by-step explanation:
triangle has a base of 25 and a height of 8
A = bh/2
A = 8 x 25 / 2
A = 100
Answer:
just want free points
Step-by-step explanation: