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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,to test the claim that SALARY depends positively on HOURS against the null hypothesis that SALARY does not depend linearly on HOURS,the p-value of the test statistic is .
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,to test the claim that SALARY depends positively on HOURS against the null hypothesis that SALARY does not depend linearly on HOURS,the p-value of the test statistic is .
Note: 2.051 E - 05 = 2.051*10-5 and 5.944 E -18 = 5.944 *10 -18 .
-Referring to Scenario 13-9,to test the claim that SALARY depends positively on HOURS against the null hypothesis that SALARY does not depend linearly on HOURS,the p-value of the test statistic is .


Definitions:

Cash Payback

A method of evaluating an investment by determining the amount of time it will take to recoup the initial investment from its cash flows.

Capital Budgeting

The process of evaluating and selecting long-term investments that are in line with the organization's goal of wealth maximization.

Net Present Value

A financial metric used to evaluate the profitability of an investment, calculated by discounting all expected future cash flows to their present value using a specific discount rate.

Annual Rate of Return Technique

A method of evaluating investments by calculating the expected annual rate of profit or loss.

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