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

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SCENARIO 14-15
The superintendent of a school district wanted to predict the percentage of students passing a sixthgrade 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 X 2 = Spending:
 SCENARIO 14-15 The superintendent of a school district wanted to predict the percentage of students passing a sixthgrade 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 Scenario 14-15,the null hypothesis H<sub>1</sub>:  \beta <sub>1</sub>= \beta <sub>2</sub>=0implies that percentage of students passing the proficiency test is not affected by either of the explanatory variables.
 SCENARIO 14-15 The superintendent of a school district wanted to predict the percentage of students passing a sixthgrade 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 Scenario 14-15,the null hypothesis H<sub>1</sub>:  \beta <sub>1</sub>= \beta <sub>2</sub>=0implies that percentage of students passing the proficiency test is not affected by either of the explanatory variables.
-Referring to Scenario 14-15,the null hypothesis
H1: β\beta 1= β\beta 2=0implies that percentage of
students passing the proficiency test is not affected by either of the explanatory variables.


Definitions:

Revenue Journal

A specialized accounting journal used to record all incoming revenues and sales transactions of a company.

Cash Receipts Journal

A dedicated accounting journal used to record all cash inflows or money received by a business.

General Journal

A chronological record of a company's financial transactions.

Revenue Journal

A revenue journal is a ledger used to record a company’s sales transactions, typically detailing the sale of goods or services on credit.

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