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 834 1184 1120 946 1173 822 Temperature ( F) 76 87.8 90.1 78.1 87.3 72.5 What is the regression equation? y = [+x (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. It is unrealistically high. The value 3000 is far outside of the range of observed values. O B. The first variable should have been the dependent variable. O C. It is only an approximation. An unrounded value would be considered accurate. O D. Nothing is wrong with this value. It can be treated as an accurate prediction