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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:

Overapplied

Refers to a situation in managerial accounting where the applied overhead is more than the actual overhead incurred.

Underapplied

A situation where the allocated or applied costs are less than the actual costs incurred.

Raw Materials

The basic materials and components used in the production process to create finished goods.

Journal Entries

Records of financial transactions in accounting, indicating debit and credit amounts for each transaction in the ledger.

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