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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Answer:
-3
Step-by-step explanation:
ur welcome :)))))
Answer:
So far I have gotten 3m + n, there is not equal sign so I am unable to finish this question further.
Step-by-step explanation:
Answer:
this triangle is ABC with A(-2 ; -3), B(4; - 3) and C(3;5)
=>
using Heron theorem, we have:
with S is the area of the triangle
Step-by-step explanation:
we are given
we can find it's sum
now, we can find second sum
so, we can see that
both sums are 35
so, their difference will be 0
option-A.........Answer