Starting in the year 1800, the population of the United States was recorded until the year 2000. The data is summarized below wi
th a linear function and an exponential function to model the data.
Linear Function: f(x) = 1.363x - 35.2
Exponential Function: f(x) = 7.8 * 1.02^x
Use the linear function and calculate the predicted value and residual value for 1880. Then use the exponential function to calculate the predicted and residual value for 1920.
Select all answer choices that are correct.
b = -23.64
a = 73.84
a = 12.579
b = 73.84
c = 83.97
d = 21.73
c = -23.09
Linear Function: f(x) = 1.363x - 35.2
Exponential Function: f(x) = 7.8 * 1.02^x
Use the linear function and calculate the predicted value and residual value for 1880. Then use the exponential function to calculate the predicted and residual value for 1920.
Select all answer choices that are correct.
b = -23.64
a = 73.84
a = 12.579
b = 73.84
c = 83.97
d = 21.73
c = -23.09
2 answers:
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Answer and Step-by-step explanation:
Data provided in the question
Mean = 1.1 hours per call =
R = Mean rate = 1.6 per eight hour day
=
= 5 per day
Based on the above information
a. The average number of customers is
= 151
b. The system utilization is
=
= 0.32
c. The amount of time required is
= 1 - system utilization
= 1 - 0.32
= 0.68
And, there is 8 hours per day
So, it would be
=
= 5.44 hours
d. Now the probability of two or more customers is
= 0.1024
Therefore we simply applied the above formulas