The table below shows the number, in thousands, of vehicles parked in the central business district of a certain city on a typical Friday as a function of the hour of the day. Vehicles parked (thousands) Hour of the day 9 A.M. 11 A.M. 1 P.M. 3 P.M. 5 P.M. 6.1 7.6 7.5 6.7 3.9 (a) Use regression to find a quadratic model for the data. (Let V be the number of vehicles and t be the time in hours since midnight. Round the regression parameters to three decimal places.) V= (b) Express using functional notation the number of vehicles parked on a typical Friday at 4 P.M., and then estimate that value. (Round your answer to twwo decimal places.) thousand
The table below shows the number, in thousands, of vehicles parked in the central business district of a certain city on a typical Friday as a function of the hour of the day. Vehicles parked (thousands) Hour of the day 9 A.M. 11 A.M. 1 P.M. 3 P.M. 5 P.M. 6.1 7.6 7.5 6.7 3.9 (a) Use regression to find a quadratic model for the data. (Let V be the number of vehicles and t be the time in hours since midnight. Round the regression parameters to three decimal places.) V= (b) Express using functional notation the number of vehicles parked on a typical Friday at 4 P.M., and then estimate that value. (Round your answer to twwo decimal places.) thousand
Chapter3: Polynomial Functions
Section: Chapter Questions
Problem 18T
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Transcribed Image Text:The table below shows the number, in thousands, of vehicles parked in the central business district of a certain city on a typical Friday as a function of the hour of the day.
Vehicles parked
(thousands)
Hour of the day
9 A.M.
11 A.M.
1 P.M.
3 P.M.
5 P.M.
6.1
7.6
7.5
6.7
3.9
(a) Use regression to find a quadratic model for the data. (Let V be the number of vehicles and t be the time in hours since midnight. Round the regression parameters to three decimal
places.)
V =
(b) Express using functional notation the number of vehicles parked on a typical Friday at 4 P.M., and then estimate that value. (Round your answer to two decimal places.)
thousand
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