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SCENARIO 12-9
It Is Believed That, the Average Numbers of Hours

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SCENARIO 12-9
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.  Regression Statistics  Multiple R 0.8857 R Square 0.7845 Adjusted R Square 0.7801 Standard Error 1.3704 Observations 51\begin{array}{lr}{\text { Regression Statistics }} \\\hline \text { Multiple R } & 0.8857 \\\text { R Square } & 0.7845 \\\text { Adjusted R Square } & 0.7801 \\\text { Standard Error } & 1.3704 \\\text { Observations } & 51 \\\hline\end{array}
ANOVA
dfSSMSF Significance F  Regression 1335.0472335.0473178.3859 Residual 1.8782 Total 50427.0798\begin{array}{lrrrrr} & d f & S S & M S & F & \text { Significance F } \\\hline \text { Regression } & 1 & 335.0472 & 335.0473 & 178.3859 \\\text { Residual } & & & 1.8782 & \\\text { Total } & 50 & 427.0798 & &\end{array}

 Coefficients  standered Error  tStat  P-value  Lower 95%  Upper 95%  Intercept 1.89400.40184.71340.00002.70151.0865 Hours 0.97950.073313.35610.00000.83211.1269\begin{array}{lrrrrrrr} & \text { Coefficients } & \text { standered Error } & \text { tStat } & \text { P-value } & \text { Lower 95\% } & \text { Upper 95\% } \\\hline \text { Intercept } & -1.8940 & 0.4018 & -4.7134 & 0.0000 & -2.7015 & -1.0865 \\\text { Hours } & 0.9795 & 0.0733 & 13.3561 & 0.0000 & 0.8321 & 1.1269\end{array} Note: 2.051E - 05 = 2.051 *10-05 and 5.944 E - 18 = 5.944 *10-18 .
-Referring to Scenario 12-9, 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:

Profit

The financial gain achieved when the revenues generated from business activities exceed the expenses, costs, and taxes needed to sustain those activities.

Available Seat

A term often used in the transportation industry, referring to a seat that is unoccupied and can be reserved or purchased by a customer.

Load Factor

A measurement used in transportation to assess the efficiency of a carrier by comparing the amount of utilized space or weight capacity versus the total available.

Operating Expense

Expenses incurred during the normal functioning of a business, excluding the cost of goods sold and fixed costs.

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