The answer is 30 , hope this helps
Step-by-step explanation:
5000 x 3 + 3.5% of 5000 x 3 = the answer
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
#SPJ1
Answer:
1 is 13/10 i believe and 2 will be 11/12
Step-by-step explanation:
heres my work
1 first find least common factor sense the denominators ar different witch will be ten then then the number you used to multiply the denominator to find 10 you use to multiply the numerator with.
so you left with 6/10 + 7/10 witch equals 13/10
2 do the same in 1 find least common factor witch is 12 and then multiply the number used to get the common factor by the numerator witch leaves the setup as 8/12+3/12 witch equals 11/12
Can i have Brainiest Please.