OPMT5510DLChapter12TestBank

# OPMT5510DLChapter12TestBank - CHAPTER 12SIMPLE LINEAR...

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CHAPTER 12—SIMPLE LINEAR REGRESSION MULTIPLE CHOICE 1. The purpose of regression analysis is to a. verify a statistical hypothesis concerning the unknown population parameter b. check the correlation between the mean and the variance c. prove that the mean depends on the standard deviation d. identify the relationship between a dependent variable and one or more independent variables ANS: D 2. In regression analysis, the model in the form is called a. covariance equation b. correlation equation c. estimated regression equation d. regression model ANS: D 3. The model developed from sample data that has the form of is known as a. covariance equation b. correlation equation c. estimated regression equation d. sample equation ANS: C 4. The interval estimate of the mean value of y for a given value of x is a. prediction interval estimate b. confidence interval estimate c. average regression d. x versus y correlation interval ANS: B 5. The interval estimate of an individual value of y for a given value of x is a. prediction interval estimate b. confidence interval estimate c. average regression d. x versus y correlation interval

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ANS: A 6. The standard error s is the a. t-statistic squared b. square root of SSE c. square root of SST d. square root of MSE ANS: D 7. A regression analysis between sales (Y in \$1000) and advertising (X in dollars) resulted in the following equation = 30,000 + 4 X. The above equation implies that an a. increase of \$4 in advertising leads to an increase of \$4,000 in predicted sales b. increase of \$1 in advertising leads to an increase of \$4 in predicted sales
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## This note was uploaded on 09/17/2011 for the course OPMT 1111 taught by Professor Yao during the Spring '11 term at Toledo.

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OPMT5510DLChapter12TestBank - CHAPTER 12SIMPLE LINEAR...

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