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) 6.2 7.5 7.7 Hour of the day 9 A.M. 11 A.M. 1 P.M. 3 P.M. 5 P.M. 6.6 3.9 ASK FOUR TEACHER (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-(-0.166)x² + (4.042)x-16.782 x

Advanced Engineering Mathematics
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ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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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)
6.2
7.5
7.7
6.6
3.9
Hour of the day
9 A.M.
11 A.M.
1 P.M.
3 P.M.
5 P.M.
(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 = (-0.166)x² + (4.042)x-16.782
MER
x
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) 6.2 7.5 7.7 6.6 3.9 Hour of the day 9 A.M. 11 A.M. 1 P.M. 3 P.M. 5 P.M. (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 = (-0.166)x² + (4.042)x-16.782 MER x
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