10) The following table gives the number of weekly customers to visit a store since May 1. 3. 5n 6. # weeks # visitors 2. 155 173 180 175 170 118 136 a) Find a quadratic regression model to model V(x), the number of visitors x weeks since May 1. Round all coefficients to the nearest 100 b) At what week(s) would the store predict 140 visitors? Show how you get your answer algebraically. lleindoy itlo wod2 allob beseuods 02 to silong ot llns o sun a vnam oH (d Wrie the 11) Solve by the “completing the square" method. Show your work. x2 - 5x + 8 = 0 bnog TOM o] laon ad ilemie bris borltom roon oisupe oli anie
10) The following table gives the number of weekly customers to visit a store since May 1. 3. 5n 6. # weeks # visitors 2. 155 173 180 175 170 118 136 a) Find a quadratic regression model to model V(x), the number of visitors x weeks since May 1. Round all coefficients to the nearest 100 b) At what week(s) would the store predict 140 visitors? Show how you get your answer algebraically. lleindoy itlo wod2 allob beseuods 02 to silong ot llns o sun a vnam oH (d Wrie the 11) Solve by the “completing the square" method. Show your work. x2 - 5x + 8 = 0 bnog TOM o] laon ad ilemie bris borltom roon oisupe oli anie
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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