The data in the table represent the fuel economy (mpg) for a car at different speeds (mph).
1 answer:
My graphing calculator computes the best match to a cubic function, which predicts mileage of about 39.7 mpg at 65 mph.
The second-best match is to a quadratic function, which predicts mileage of 29.8 mpg at 65 mph.
Linear regression predicts mileage of about 36.6 mpg at 65 mph.
It appears the best choice of those offered is (D) about 36 mpg.
The second-best match is to a quadratic function, which predicts mileage of 29.8 mpg at 65 mph.
Linear regression predicts mileage of about 36.6 mpg at 65 mph.
It appears the best choice of those offered is (D) about 36 mpg.
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The inequality would start out looking like this:
Now it's just a matter of solving the inequalities simultaneously. Get rid of the fraction by multiplying everything by 9:
Then distribute the 5 into the parenthesis:
Now add 160 everywhere:
and finally divide everything by 5:
-22<F<266
Now it's just a matter of solving the inequalities simultaneously. Get rid of the fraction by multiplying everything by 9:
Then distribute the 5 into the parenthesis:
Now add 160 everywhere:
and finally divide everything by 5:
-22<F<266