The data show the bug chirps per minute at different temperatures. Find the regressionequation, 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 predictedvalue?

Chirps in 1 min

862

774

1247

946

963

923

Temperature (F)

77.5

65.2

89.3

79.8

73.6

73.7

What is the regressionequation?

y=

nothing

+

nothing

x

(Round thex-coefficient to four decimal places as needed. Round the constant to two decimal places asneeded.)

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

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

nothing

F.

(Round to one decimal place asneeded.)

What is wrong with this predictedvalue? Choose the correct answer below.

A.

The first variable should have been the dependent variable.

B.

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

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.