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SCENARIO 13-9 It Is Believed That, the Average Numbers of Hours Spent

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SCENARIO 13-9
It is believed that, the average numbers of hours spent studying per day (HOURS) during undergraduate education should have a positive linear relationship with the starting salary (SALARY, measured in thousands of dollars per month) after graduation. Given below is the Excel output for predicting starting salary (Y) using number of hours spent studying per day (X) for a sample of 51 students. NOTE: Only partial output is shown.
SCENARIO 13-9 It is believed that, the average numbers of hours spent studying per day (HOURS)  during undergraduate education should have a positive linear relationship with the starting salary (SALARY, measured in thousands of dollars per month)  after graduation. Given below is the Excel output for predicting starting salary (Y)  using number of hours spent studying per day (X)  for a sample of 51 students. NOTE: Only partial output is shown.     Note: 2.051 E - 05 = 2.051*1<sup>0-5</sup>  and 5.944 E -18 = 5.944 *10 <sup>-18</sup> . -Referring to Scenario 13-9,the value of the measured t-test statistic to test whether mean SALARY depends linearly on HOURS is A) -4.7134 B) -1.8940 C) 0.9795 D) 13.3561
SCENARIO 13-9 It is believed that, the average numbers of hours spent studying per day (HOURS)  during undergraduate education should have a positive linear relationship with the starting salary (SALARY, measured in thousands of dollars per month)  after graduation. Given below is the Excel output for predicting starting salary (Y)  using number of hours spent studying per day (X)  for a sample of 51 students. NOTE: Only partial output is shown.     Note: 2.051 E - 05 = 2.051*1<sup>0-5</sup>  and 5.944 E -18 = 5.944 *10 <sup>-18</sup> . -Referring to Scenario 13-9,the value of the measured t-test statistic to test whether mean SALARY depends linearly on HOURS is A) -4.7134 B) -1.8940 C) 0.9795 D) 13.3561
Note: 2.051 E - 05 = 2.051*10-5 and 5.944 E -18 = 5.944 *10 -18 .
-Referring to Scenario 13-9,the value of the measured t-test statistic to test whether mean SALARY depends linearly on HOURS is


Definitions:

Marginal Cost

The cost incurred from producing an additional unit of a product.

Average Variable Cost

The total variable costs (costs that change with the level of output) divided by the quantity of output produced, indicating the cost of producing an additional unit.

Marginal Cost

The boost in expenditure linked to creating an additional unit of a good or service.

Average Total Cost

Refers to the sum of all production costs divided by the total output produced, indicating the cost per unit of producing a good or service.

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