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A manufacturing company is interested in predicting the number of defects that will be produced each hour on the assembly line. The managers believe that there is a relationship between the defect rate and the production rate per hour. The managers believe that they can use production rate to predict the number of defects. The following data were collected for 10 randomly selected hours. Given these sample data, the simple linear regression model for predicting the number of defects is approximately = 5.67 + 0.048x.
Monte Carlo Simulation
A computational algorithm that relies on repeated random sampling to obtain numerical results, often used to model probabilities of different outcomes in a complex system.
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