# Simple regression test bank

### Questions on linear regression

Least-squares regression. Raul knew that he could use several different tools to analyze cost behavior, including scatter diagrams, least-squares regression, and the high-low method. Which type of fixed cost 1 tends to be more long-term in nature and 2 can be cut back more easily in bad economic times without doing serious harm to organizational goals and objectives? Which of the following would not typically be classified as a discretionary fixed cost? It can be used to forecast revenue and expenses of the firm. We compute the average price per widget if 30 are purchased and observe: a. By using the high-low method, analyze Schein's plant maintenance cost and calculate the monthly fixed portion and the variable cost per machine hour. The salary cost of lab technicians employed at a clinic. Questions: Q: In order to have a correlation coefficient between traits A and B, it is necessary to have: a. Look at the answer Q: The correlation between scores on a neuroticism test and scores on an anxiety test is high and positive; therefore a.

Both "B" and "D" are true. The computations are wrong since r cannot be negative b. The visual-fit method. Look at the answer Q: The manufacturers of a chemical used in flea collars claim that under standard test conditions each additional unit of the chemical will bring about a reduction of 5 fleas i. The more coins, the greater amplification, and the greater your pleasure.

Learning Objective: Describe the multiple regression; engineering; and learning-curve approaches to cost estimation. More than one of the above statements is true. If the company uses a regression equation to forecast total operating costs, the equation's intercept would correspond to the: A. Linear programming.

Look at the answer Q: Consider the set of data below. If Wooster now revises its anticipated production slightly upward, it would expect: A. A forecast of a cost at a particular level of activity is termed: A.

To do so he fits a linear regression of average yield per year against year after introduction of "Miracle Wheat" for a ten year period.

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