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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Answer:
The question is incomplete, but the step-by-step procedures are given to solve the question.
Step-by-step explanation:
We have that to find our level, that is the subtraction of 1 by the confidence interval divided by 2. So:
Now, we have to find z in the Ztable as such z has a pvalue of .
That is z with a pvalue of , so Z = 2.575.
Now, find the margin of error M as such
In which is the standard deviation of the population and n is the size of the sample.
The lower end of the interval is the sample mean subtracted by M.
The upper end of the interval is the sample mean added to M.
The 99% confidence interval for the population mean amount of beverage in 16-ounce beverage cans is (lower end, upper end).