1. According to the following graphic, X and Y have _________.
strong negative correlation
virtually no correlation
strong positive correlation
moderate negative correlation
weak negative correlation
2. A cost accountant is developing a regression model to predict the total cost of producing a batch of printed circuit boards as a function of batch size (the number of boards produced in one lot or batch). The dependent variable is ______.
3. A cost accountant is developing a regression model to predict the total cost of producing a batch of printed circuit boards as a linear function of batch size (the number of boards produced in one lot or batch). The intercept of this model is the ______.
4. If x and y in a regression model are totally unrelated, _______.
5. A manager wishes to predict the annual cost (y) of an automobile based on the number of miles (x) driven. The following model was developed:
y= 1,550 + 0.36x. If a car is driven 15,000 miles, the predicted cost is ____________.
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