Question: QUESTION 4 When using simple linear regression to do causal model forecasting, the p-value associated with the test for the slope coefficient will be equal

QUESTION 4 When using simple linear regression to

QUESTION 4 When using simple linear regression to

QUESTION 4 When using simple linear regression to

QUESTION 4 When using simple linear regression to

QUESTION 4 When using simple linear regression to do causal model forecasting, the p-value associated with the test for the slope coefficient will be equal to the Significance F value explains the variation of the dependent variable around the mean is usually a value greater than 1 measures the fit of the regression line to the data QUESTION 5 If the number of arrivals in a time period follow a Poisson distribution with mean, then the inter-arrival times follow a(n) _distribution with mean_ constant; exponential; 1/1 exponential; O O normal; QUESTION 6 The number of arrivals to a store follows a Poisson distribution with mean A = 10/hour. What is the mean inter-arrival time? 6 seconds 10 hours 10 minutes 6 minutes QUESTION 7 The standardized queuing system notation such as M/M/1 or M/G/2 is referred to as Kendall notation. Queuing notation. Erlang notation. Poisson notation. QUESTION 8 The M/D/1 model with infinite capacity queue can be used to model a process of installing new machines in a shop a process of washing a car in an automatic car wash a machine breakdown process in a shop with 10 identical machines a process of patient departure from a dentist's office QUESTION 9 A barber shop has one barber, a Poisson arrival rate and exponentially distributed service times. What is the Kendall notation for this system? M/M/E M/E/1 O P/M/1 M/M/1 QUESTION 10 A grocery clerk can serve 20 customers per hour on average and the service time follows an exponential distribution. What is the expected service time per customer? 20 customer per hour 0.5 hour 2 minutes per customer 3 minutes per customer

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