Prob(Total time in process > Td) = EXP(-Td/T) T = (1/(Rp - Ri)) = (1 / Rs) R = min(Ri, Rp) u=R/Rp Dominic runs an appliance repair shop and sells replacement parts for appliances to walk in customers. Customers take an average of 5 minutes. It is a single phase system with 1 server. The coefficient of arrivals and the coefficient of processing times is 1.0. If the total time a customer is in the system is 10 minutes, what is the probability that a customer will have more than 15 minutes in the system?

Mr.walker is looking at the fundraiser totals for the last five years , how does the mean of the totals compare to the median?

1. the manager of collins import autos believes the number of cars sold in a day (q) depends on two factors: (1) the number of hours the dealership is open (h) and (2) the number of salespersons working that day (s). after collecting data for two months (53 days), the manager estimates the following log-linear model: q 4 equation 1 a. explain, how to transform the log-linear model into linear form that can be estimated using multiple regression analysis. the computer output for the multiple regression analysis is shown below: q4 table b. how do you interpret coefficients b and c? if the dealership increases the number of salespersons by 20%, what will be the percentage increase in daily sales? c. test the overall model for statistical significance at the 5% significance level. d. what percent of the total variation in daily auto sales is explained by this equation? what could you suggest to increase this percentage? e. test the intercept for statistical significance at the 5% level of significance. if h and s both equal 0, are sales expected to be 0? explain why or why not? f. test the estimated coefficient b for statistical significance. if the dealership decreases its hours of operation by 10%, what is the expected impact on daily sales?

Which values of m and b will create a system of equations with no solution? y=mx+b y=-2x+3/2