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 t 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 wror with this predicted temperature? Chirps in 1 min Temperature ("F) 955 852 1123 1246 794 835 972 912 O 796 74.9 815 91.4 66.9 755 76.5 76.4 The regression 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 minuto, 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. O B. 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
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 t 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 wror with this predicted temperature? Chirps in 1 min Temperature ("F) 955 852 1123 1246 794 835 972 912 O 796 74.9 815 91.4 66.9 755 76.5 76.4 The regression 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 minuto, 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. O B. 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
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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