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 909 857 1001 790 1230 999

Temperature (F) 76.1 72.3 76 73.2 94.3 81.6

What is the regression equation?

y=_____ +______x? (Round the x-coefficient to four decimal places. round constant to two decimal places)

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 ______ degrees F?

What is wrong with this predicted value? choose correct answer below.

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

B. The first variable should have been the dependent variable

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

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