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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Was there a picture or something? if so can you show it so I can help
Answer:
0.54545454545
Step-by-step explanation:
3/11*2
Answer: 5-lb bag for $12.99
Step-by-step explanation: I multiplied 2 x 2.5 and 5.39 x 2.5. It was more than $12.99. This means that the 5 pound bag is less expensive.
Answer:
1. 60,000
2. 80,000
3. 100,000
4. 90,000
5. 60,000
Step-by-step explanation:
Remember if the thousands digit is 5 or greater, round up, if the thousands digit is 4 or less, round down.
5<u>7</u>342 (up) 7<u>6</u>564 (up) 9<u>5</u>634 (up) 8<u>5</u>756 (up) 6<u>3</u>526 (down)