The data show the bug chirps per minute at different temperatures. Find the regression​ equation, letting the first vari

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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
939
1218
949
1239
884
800
​(°​F)
78.6
92.5
79.8
89.7
77
73.7
What is the regression​ equation?
y=enter your response here+enter your response herex
​(Round the​ x-coefficient to four decimal places as
needed. Round the constant to two decimal places
as​ needed.)
Part 2
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
enter your response here°F.
​(Round to one decimal place as​ needed.)
Part 3
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.