The data show the bug chirps per minute at different temperatures.. Find the regression equation, letting the first variable be the independent 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 Chirps in 1 min Temperature (°F) 779 1017 1067 1233 804 1150 D 73.6 79.4 79.5 89.4 74.4 86.2 What is the regression equation? (Round the x-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.) edicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute?

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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
Temperature (°F)
804 1150
74.4 86.2
779
1017 1067 1233
73.6
79.4 79.5
89.4
What is the regression equation?
(Round the x-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.)
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 °F.
(Round to one decimal place as needed.)
What is wrong with this predicted value? Choose the correct answer below.
O A. The first variable should have been the dependent variable
O B. It is only an approximation. An unrounded value would be considered accurate.
O C. It is unrealistically high. The value 3000 is far outside of the range of observed values.
O D. Nothing is wrong with this value. It can be treated as an accurate prediction.
Click to select your answer(s).
Transcribed Image Text:This Test: 77 pts possible This Question: 4 pts 1 of 24 (10 complete) ▼ Question Help ▼ 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) 804 1150 74.4 86.2 779 1017 1067 1233 73.6 79.4 79.5 89.4 What is the regression equation? (Round the x-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.) 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 °F. (Round to one decimal place as needed.) What is wrong with this predicted value? Choose the correct answer below. O A. The first variable should have been the dependent variable O B. It is only an approximation. An unrounded value would be considered accurate. O C. It is unrealistically high. The value 3000 is far outside of the range of observed values. O D. Nothing is wrong with this value. It can be treated as an accurate prediction. Click to select your answer(s).
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