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TABLE 14-15 the Superintendent of a School District Wanted to Predict the Predict

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TABLE 14-15
The superintendent of a school district wanted to predict the percentage of students passing a sixth-grade proficiency test.She obtained the data on percentage of students passing the proficiency test (% Passing),mean teacher salary in thousands of dollars (Salaries),and instructional spending per pupil in thousands of dollars (Spending)of 47 schools in the state.
Following is the multiple regression output with Y = % Passing as the dependent variable,X1 = Salaries and X2 = Spending: TABLE 14-15 The superintendent of a school district wanted to predict the percentage of students passing a sixth-grade proficiency test.She obtained the data on percentage of students passing the proficiency test (% Passing),mean teacher salary in thousands of dollars (Salaries),and instructional spending per pupil in thousands of dollars (Spending)of 47 schools in the state. Following is the multiple regression output with Y = % Passing as the dependent variable,X<sub>1 </sub>= Salaries and X<sub>2</sub> = Spending:   -Referring to Table 14-15,estimate the mean percentage of students passing the proficiency test for all the schools that have a mean teacher salary of 40,000 dollars,and an instructional spending per pupil of 2,000 dollars.
-Referring to Table 14-15,estimate the mean percentage of students passing the proficiency test for all the schools that have a mean teacher salary of 40,000 dollars,and an instructional spending per pupil of 2,000 dollars.


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Times Interest Earned

A financial ratio that measures a company's ability to meet its interest payments on outstanding debt.

Quick Ratio

A measure of a company's ability to meet its short-term obligations with its most liquid assets, without relying on inventory.

Current Liabilities

Obligations or debts that a company is expected to pay within a year.

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Resources owned or controlled by a business, viewed as providing future economic benefits.

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