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THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION

Question 176

Multiple Choice

THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
A sales manager is interested in determining the relationship between the amount spent on advertising and total sales.The manager collects data for the past 24 months and runs a regression of sales on advertising expenditures.The results are presented below but,unfortunately,some values identified by asterisks are missing.
SUMMARY OUTPUT THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: A sales manager is interested in determining the relationship between the amount spent on advertising and total sales.The manager collects data for the past 24 months and runs a regression of sales on advertising expenditures.The results are presented below but,unfortunately,some values identified by asterisks are missing. SUMMARY OUTPUT   -A regression analysis between sales (in $1000) and advertising (in $100) resulted in the following least squares line:   = 75 + 5x.This implies that if advertising is $800,then the predicted amount of sales (in dollars) is: A) $4075 B) $115,000 C) $164,000 D) $179,000
-A regression analysis between sales (in $1000) and advertising (in $100) resulted in the following least squares line: THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: A sales manager is interested in determining the relationship between the amount spent on advertising and total sales.The manager collects data for the past 24 months and runs a regression of sales on advertising expenditures.The results are presented below but,unfortunately,some values identified by asterisks are missing. SUMMARY OUTPUT   -A regression analysis between sales (in $1000) and advertising (in $100) resulted in the following least squares line:   = 75 + 5x.This implies that if advertising is $800,then the predicted amount of sales (in dollars) is: A) $4075 B) $115,000 C) $164,000 D) $179,000 = 75 + 5x.This implies that if advertising is $800,then the predicted amount of sales (in dollars) is:


A) $4075
B) $115,000
C) $164,000
D) $179,000

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