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

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TABLE 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:
TABLE 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:     Note: 4.3946E-15 is 4.3946 ×            -Referring to Table 13-12, the p-value of the measured t test statistic to test whether the number of loan applications recorded affects the amount of time is A)  (4.3946E-15) /2. B)  4.3946E-15. C)  (0.0030) /2. D)  0.0030.
Note: 4.3946E-15 is 4.3946 ×
TABLE 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:     Note: 4.3946E-15 is 4.3946 ×            -Referring to Table 13-12, the p-value of the measured t test statistic to test whether the number of loan applications recorded affects the amount of time is A)  (4.3946E-15) /2. B)  4.3946E-15. C)  (0.0030) /2. D)  0.0030.
TABLE 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:     Note: 4.3946E-15 is 4.3946 ×            -Referring to Table 13-12, the p-value of the measured t test statistic to test whether the number of loan applications recorded affects the amount of time is A)  (4.3946E-15) /2. B)  4.3946E-15. C)  (0.0030) /2. D)  0.0030.
TABLE 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:     Note: 4.3946E-15 is 4.3946 ×            -Referring to Table 13-12, the p-value of the measured t test statistic to test whether the number of loan applications recorded affects the amount of time is A)  (4.3946E-15) /2. B)  4.3946E-15. C)  (0.0030) /2. D)  0.0030.
-Referring to Table 13-12, the p-value of the measured t test statistic to test whether the number of loan applications recorded affects the amount of time is


A) (4.3946E-15) /2.
B) 4.3946E-15.
C) (0.0030) /2.
D) 0.0030.

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