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## 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 784 838 822 949 1188 813   Temperature ​(°​F) 65.7 67.8 66.2 79.9 92.3 73.5   What is the regression​ equation?   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 3000chirps per minute are?   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.

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) 784 838 822 949 1188 813 65.7 67.8 66.2 79.9 92.3 73.5

What is the regression​ equation?

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

3000chirps per minute are?

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.
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