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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 p-value of the measured F-test statistic to test whether HOURS affects SALARY 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,the p-value of the measured F-test statistic to test whether HOURS affects SALARY is .
Note: 2.051 E - 05 = 2.051*10-5 and 5.944 E -18 = 5.944 *10 -18 .
-Referring to Scenario 13-9,the p-value of the measured F-test statistic to test whether HOURS affects SALARY is .


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Planning Gap

The difference between an organization's current position and its desired future state, identified during strategic planning.

Contribution Margin

The amount by which product or service sales exceed variable costs, contributing to covering fixed costs and profit generation.

Planning Gap

The difference between future desired performance and projected actual performance, identified during strategic planning processes.

Sales Revenue Data

Information regarding the income generated from the sale of goods or services before any expenses are subtracted.

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