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? 1247 1009 1024 853 93.5 85.4 81.5 Chirps in 1 min 876 831 D Temperature ("F) 72.2 75.5 71 What is the regression equation? (Round the x-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.)
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? 1247 1009 1024 853 93.5 85.4 81.5 Chirps in 1 min 876 831 D Temperature ("F) 72.2 75.5 71 What is the regression equation? (Round the x-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.)
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Transcribed Image Text:What is the regression equation?
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(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
(Round to one decimal place as needed.)
°F.
What is wrong with this predicted value? Choose the 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.
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Transcribed Image Text: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)
1247 1009 1024 853 876
831 D
93.5 85.4 81.5 71 72.2 75,5
What is the regression equation?
(Round the x-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.)
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