A crtically important anpect of oustomor service in a supormarket is no waiting tmo at the checkout. Data were collectod during time perioda whota here woro a conetart number of chockout countors open. The total numter of customera in the store and the wating times wore recorded, The results ane daplayed in the accompanying sable, and the linear regression equation ia given below. Complete parts a through c. y= -03819 +01154x, m Click the icon to view the data table. a. Interpret the coeficerit b, -0.1154. Note thet in the Ineer regression equation, the numbers of customers correspord to the svalues and the waling fimes correspond to the y-values. Choose the correct answer below. OA For each increase ol one customer in the store, the waiting time is expected to increase by 0.1154 minutes OB. The approvimate number of customers when the walting time is 0 minules is 0,1154 OC. For each increose of one customer in he store, the walting time is expected to decrease by 0.1154 minutes, OD. For each increase of one minute of waiting time, the number of customers in the store is axpected to increase by 0.1154. b. Prediet the wating Sime when there are 23 customers in the store minutes (Round to two decimal places as needed.) C. Suppose you wore asked to estimate the waiting time it onty 4 customers aro in the store. Discuss your response to this request. Seloct the corect cholca below and, E necessary, fil in the answor box to complete your answer OA Ha not approprane for the linar rogrossion oquation to estimato tis valao, bocause the value is outsido the range of waiting times. OB The estimated waiting time is(Round to two decimal places as needed.) OC. Hia not appropfiale for the linoar regression oquation to estimate this valae, because the value is outside the range of values given for the number of customers in the store. OD. Bia not appropriate for the linoar regression equaion to estimata this value, because the value is greater than 2 standard deriations from the mean.