Using the computer output, what is the predicted price for a car with 10,000 miles on the odometer?

A statistics student is studying if there is a relationship

between the price of a used car and the number of

miles it had been driven. She collects data for 20 cars

of the same model with different mileage and

determines each car's price using a used car website.

The analysis is given in the computer output.

$22,347 20

$23,917.20

$24,157.20

$25,967 20

p

Predictor Coef

SE Coef t-ratio

Constant 24157.2 2164.1 2.965 0.046

Mileage -0.181 0.024 5.377 0.000

S = 3860.7 R-sq = 68.0% R-Sq(Adj) = 67.5%

First, think of what you know. you know that the number t the end of the equation will need to be subtracted because it is the money he lost from buying the lawn mower. and your first two weeks have negative profit, so that tells you that c and d are wrong. now you can plug any of the weeks into a and b to see which one works. i'll start with plugging week 1 into a.this isn't right because it says your answer for week one should be -90.so now we need to try the same thing with b.this one got you the right answer, (sometimes if you only check with one of the weeks multiple will work so you need to check with more of the weeks, but it worked out fine here)this means that b is the correct answer.let me know if you need more clarification. i hope this : )

It is b as the correct answer is 0.088, you are able to work these out on a calculator or without a calculator if you type in the exact sum that is given for harder questions like these!