Listed below are the numbers of cricket chirps in 1 minute and the corresponding temperatures in "E 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) 955 852 1123 1246 794 835 972 912 O 79.6 74.9 815 914 66.9 755 765 76.4 The regronslon equation is y -375) ((0.0419)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 163 2"F (Round to the nearest integer as needed) What is wrong with this predicted temperature? O A. The chips in 1 minute should have been the dependent variable OB. It is only an approximation An unrounded value would be considered accurate OC. It is unrealistically high The value 3000 is far outside of the range of observed values O D. Nothing is wrong with this value It can be treated as an accurate prediction

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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?
912
Chirps in 1 min
Temperature ("F)
835
755 76.5 76.4
972
955
79.6
852
74,9 81.5 91.4 66.9
1123 1246
794
The regrossion equation is y = 37.5 (0.0419)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 163 2 F
(Round to the nearest integer as needed)
What is wrong with this predicted temperature?
O A. The chirps in 1 minute should have been the dependent variable:
OB. It is only an approximation. An unrounded value would be considered accurate.
O C. It is unrealistically high The value 3000 is far outside of the range of observed values.
O D. Nothing is wrong with this value It can be treated as an accurate prediction
Transcribed Image Text: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? 912 Chirps in 1 min Temperature ("F) 835 755 76.5 76.4 972 955 79.6 852 74,9 81.5 91.4 66.9 1123 1246 794 The regrossion equation is y = 37.5 (0.0419)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 163 2 F (Round to the nearest integer as needed) What is wrong with this predicted temperature? O A. The chirps in 1 minute should have been the dependent variable: OB. It is only an approximation. An unrounded value would be considered accurate. O C. It is unrealistically high The value 3000 is far outside of the range of observed values. O D. Nothing is wrong with this value It can be treated as an accurate prediction
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