Question

The owner or a fashion retailer has been tracking how many customers use coupons in his store after he mailed out sale fliers. The rliers orter customers a variety or choices, includin 20% 0" the entire order, buy one and get one r ee, and 50% off a single item customers may use only ona of thฝ่ coupons, but the owner knaws that some customars will maka saparata purchases in arder to use mara than āne coupon ar lcaep ona coupon and giva āne away. The data are given in the table balaw. Number of Fliers Number of Coupons Used During Sale (y) Mailed (x) 10,000 1D,500 11,000 11,500 12,000 12,500 13,000 13,500 14,000 14,500 15,000 15,500 7471 G Search 11,136 3,G55 12,009 8,733 14,831 10,117 13,142 13,690 15,009 12,485 IPh (a) Look at a catterplot of the data. Is a linear model appropriate? Su No (b) What Is the least squares regression equation for this model? (Round your answers to two decimal places.) (c) What is the best interpretation of the y intercept? If the owner does not send out any fliers, he still expects 2,821.90 coupons used. @ The y-intercept doe, not make sense in the context of the problem because if the owner dōRS not send out any coupons, na customer will be using them. For every additional one er mailed, the owner can expect approximately 0.72 coupons used (d The owner has been oftered a two-for-one sale on his fliers and decides to mail out 31,100 of them, Use your equation to determine how many coupons he can expect to be used You cannot have 0.8 of a coupon, so the owner can expect approximately 22,394 used coupons. This can't ba datermined as it is eoxtrapalating, 31,100 is way too far out of tha range of x values in the original data set. Approximately 22,394.8 used coupons Exactly 22,391.8 used coupons

Answer 1

刊。^^ quen lable 16 o00 K 42667 12 OOO0 0ob 2000 0 600D D00 DO2DD uD.SFterA mofteci hew Aotter plot yes, lale Co hat the Jinea model app ropaiata. Y = 11979, 33

lNe Krouo thot, 4-1119. 33by -1260) y-(1919, 23-0-1182 (-12750) an tiuui pura ualue un above 8qn 2 2466,94 %0418

y=25571.12 2nd option is correct