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 1027 989 1131 998 901 980 Temperature (OF) 85 77.8 85.7 77.6 73.7 75.5 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 s 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