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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I don’t know what your trying to find but you basically create an equation, like this
3x+5x=80
and solve which would result in x=10
so there is
30 geckos
and
50 anole lizards
Answer:
x= -2/3
Step-by-step explanation:
9x + 6 = 0
9x= -6
x= -6/9
x= -2/3
6 months
Step by step explanation This is how I got the answer to your question and I gave you the solution I hope this helps you out
Sin 27 degrees over 1= X over .8
Sin 27/1= X/8
Multiply sin(27) times .8
It equals. .36 or .4 if you have to round it to the nearest tenth