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SCENARIO 13-12 The Manager of the Purchasing Department of a Large Saving

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SCENARIO 13-12
The manager of the purchasing department of a large saving and loan organization would like to develop a model to predict the amount of time (measured in hours) it takes to record a loan application. Data are collected from a sample of 30 days, and the number of applications recorded and completion time in hours is recorded. Below is the regression output:
SCENARIO 13-12 The manager of the purchasing department of a large saving and loan organization would like to develop a model to predict the amount of time (measured in hours)  it takes to record a loan application. Data are collected from a sample of 30 days, and the number of applications recorded and completion time in hours is recorded. Below is the regression output:         -Referring to Scenario 13-11,which of the following is the correct interpretation for the slope coefficient? A) For each decrease of 1 thousand downloads,the expected revenue is estimated to increase by $ 3.7297 thousands. B) For each increase of 1 thousand downloads,the expected revenue is estimated to increase by $ 3.7297 thousands. C) For each decrease of 1 thousand dollars in expected revenue,the expected number of downloads is estimated to increase by 3.7297 thousands. D) For each increase of 1 thousand dollars in expected revenue,the expected number of downloads is estimated to increase by 3.7297 thousands.
SCENARIO 13-12 The manager of the purchasing department of a large saving and loan organization would like to develop a model to predict the amount of time (measured in hours)  it takes to record a loan application. Data are collected from a sample of 30 days, and the number of applications recorded and completion time in hours is recorded. Below is the regression output:         -Referring to Scenario 13-11,which of the following is the correct interpretation for the slope coefficient? A) For each decrease of 1 thousand downloads,the expected revenue is estimated to increase by $ 3.7297 thousands. B) For each increase of 1 thousand downloads,the expected revenue is estimated to increase by $ 3.7297 thousands. C) For each decrease of 1 thousand dollars in expected revenue,the expected number of downloads is estimated to increase by 3.7297 thousands. D) For each increase of 1 thousand dollars in expected revenue,the expected number of downloads is estimated to increase by 3.7297 thousands.
SCENARIO 13-12 The manager of the purchasing department of a large saving and loan organization would like to develop a model to predict the amount of time (measured in hours)  it takes to record a loan application. Data are collected from a sample of 30 days, and the number of applications recorded and completion time in hours is recorded. Below is the regression output:         -Referring to Scenario 13-11,which of the following is the correct interpretation for the slope coefficient? A) For each decrease of 1 thousand downloads,the expected revenue is estimated to increase by $ 3.7297 thousands. B) For each increase of 1 thousand downloads,the expected revenue is estimated to increase by $ 3.7297 thousands. C) For each decrease of 1 thousand dollars in expected revenue,the expected number of downloads is estimated to increase by 3.7297 thousands. D) For each increase of 1 thousand dollars in expected revenue,the expected number of downloads is estimated to increase by 3.7297 thousands.
SCENARIO 13-12 The manager of the purchasing department of a large saving and loan organization would like to develop a model to predict the amount of time (measured in hours)  it takes to record a loan application. Data are collected from a sample of 30 days, and the number of applications recorded and completion time in hours is recorded. Below is the regression output:         -Referring to Scenario 13-11,which of the following is the correct interpretation for the slope coefficient? A) For each decrease of 1 thousand downloads,the expected revenue is estimated to increase by $ 3.7297 thousands. B) For each increase of 1 thousand downloads,the expected revenue is estimated to increase by $ 3.7297 thousands. C) For each decrease of 1 thousand dollars in expected revenue,the expected number of downloads is estimated to increase by 3.7297 thousands. D) For each increase of 1 thousand dollars in expected revenue,the expected number of downloads is estimated to increase by 3.7297 thousands.
-Referring to Scenario 13-11,which of the following is the correct interpretation for the slope coefficient?


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