Question: 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

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

3000 chirps per minute. Use a significance level of 0.05. What is wrong with this predictedvalue?

Chirps in 1 min

1126

857

1116

1101

888

791

Temperature (degrees

82.9

68.2

86.1

85.8

74.9

68.1

What is the regressionequation?

ModifyingAbove y with caret

yequals

=__+__x

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

3000 chirps perminute?

The best predicted temperature when a bug is chirping at 3000

3000 chirps per minute is __degreesF.

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

The first variable should have been the dependent variable.

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

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

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

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