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:
x = 0
Step-by-step explanation:
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0=2x
x = 0
Y2-Y1/X2-X1
-9-5/-4-(-6)=-14/2=-7
The answer is -7
Answer:
1: 152
2: 152
3: 152
4: 28
Step-by-step explanation:
1-3: They are all congruent. So if you look at the given angle, it is the same as 1-3.
4: This one is tricky. Since a straight line is 180, you have to subtract 180-152.
Hope this helps!
Answer:
1
Step-by-step explanation: