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?
Chirps in 1 min
Temperature (°F)
1081 905 1057 1138 1124 1066 926 877
888 724 86.5 91.8 82.5 79.9 75.5 75.5
The regression equation is $y = \boxed{ } + \boxed{ }x$
(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 $\boxed{ }^\circ F$
(Round to the nearest integer as needed.)
What is wrong with this predicted temperature?
A. The chirps in 1 minute should have been the dependent variable
B. It is only an approximation. An unrounded value would be considered accurate.
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