The table shows the annual consumption of cheese per person in the United States for selected years in the 20th century. Let x = number of years since 1900, and y = pounds per person. What cubic model best fits this data? Year Pounds Consumed 1902 1.959 1924 6.373 1946 7.29 1982 15.817 A. y = 0.00989x^3 - 0.0000872x^2 + 1.192x + 0.403 B. y = -0.0000872x^3 + 0.00989x^2 - 0.403x - 1.192 C. y = -0.0000872x^3 - 0.00989x^2 - 0.403x + 1.192 D. y = 0.0000872x^3 - 0.00989x^2 + 0.403x + 1.192
did u google it?
yes i didn't find anything.
daam let me see what i can do.
@amistre64
lol, and thats what you could do :)
we are looking for a cubic eh; so 3 equations in 3 unknowns; or ... we can define a general equation to match the given inputs
2, 1.959 24, 6.373 46, 7.29 82, 15.817 prolly simplest to setup a matrix and rref it rref{{2^3,2^2,2,1,1.959},{24^3,24^2,24,1,6.373},{46^3,46^2,46,1,7.29},{82^3,82^2,82,1,15.817}}
http://www.wolframalpha.com/input/?i=rref%7B%7B2%5E3%2C2%5E2%2C2%2C1%2C1.959%7D%2C%7B24%5E3%2C24%5E2%2C24%2C1%2C6.373%7D%2C%7B46%5E3%2C46%5E2%2C46%2C1%2C7.29%7D%2C%7B82%5E3%2C82%5E2%2C82%2C1%2C15.817%7D%7D that gives you your coeefs
D looks the best with that
otherwise, if you had a calculator, just plug in x=2 and see which one comes up to about 2
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