Listed below are the numbers of cricket chirps in 1 minute and the corresponding temperatures in °F. Find the regression equation, letting chirps in 1 minute be the independent (x) variable. Find the best predicted temperature at a time when a cricket chirps 3000 times in 1 minute, using the regression equation. What is wrong with this predicted temperature? Use a significance level of 0.05. Chirps in 1 min Temperature (°F) 1149 1040 887 1081 1191 781 788 84.7 80.4 72.7 85.9 94.3 66.9 788 O 73.8 70.6 The regression equation is y = + (x. (Round the y-intercept to one decimal place as needed. Round the slope to four decimal places as needed.) The best predicted temperature at a time when a cricket chirps 3000 times in 1 minute, based on the regression equation, is (Round to the nearest integer as needed.) What is wrong with this predicted temperature? OA. It is unrealistically high. The value 3000 is far outside of the range of observed values. OB. It is only an approximation. An unrounded value would be considered accurate. OC. The chirps in 1 minute should have been the dependent variable. OD. Nothing is wrong with this value. It can be treated as an accurate prediction. °F.