# Multiple Regression Analysis

**Topics:**Regression analysis, Errors and residuals in statistics, Linear regression

**Pages:**1 (376 words)

**Published:**December 3, 2012

6. According to the graph, X & Y have ________. – Virtually no correlation

7. 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 explanatory variable is called the _______. – Coefficient of determination 8. In the regression equation, y = 75.65 + 0.50x, the intercept is ______. – 75.65 9. The assumptions underlying simple regression analysis include ______. – The error terms are independent 10. The proportion of variability of the dependent variable accounted for or explained by the independent variable is called the _______. – coefficient of determination 11. 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 = 1550 + 0.36x -- If a car is driven 30,000 miles, the predicted cost is _______. – 12,350 12. A cost accountant is developing a regression model to predict the total cost as a linear function of batch size (the number of boards produced in ne lot or batch) and production shift (day and evening). The dependent variable in this model is ________. –total cost 13. The...

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