Question

10. The data show the bug chirps per minute at different temperatures. Find the regression​ equation, letting the first variable be the independent​ (x) variable. Find the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute. Use a significance level of 0.05. What is wrong with this predicted​ value?

Chirps in 1 min   Temperature (°F)

985        83.8

1087      85.2

867        74.7

1060      83.2

764        64.9

807        65.5

What is the regression​ equation?

Ŷ=____+____x

​(Round the​ x-coefficient to four decimal places as needed. Round the constant to two decimal places as​ needed.)

What is the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per​ minute?

The best predicted temperature when a bug is chirping at 3000 chirps per minute is ____F.

​(Round to one decimal place as​ needed.)

What is wrong with this predicted​ value? Choose the correct answer below.

A.It is unrealistically high. The value 3000 is far outside of the range of observed values.

B.The first variable should have been the dependent variable.

C.It is only an approximation. An unrounded value would be considered accurate.

D.Nothing is wrong with this value. It can be treated as an accurate prediction

Answer 1