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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), daily average of the percentage of students attending class (% Attendance), average teacher salary in dollars (Salaries), and instructional spending per pupil in dollars (Spending) of 47 schools in the state.
Following is the multiple regression output with Y = % Passing as the dependent variable, X1= % Attendance, X2= Salaries and X3= 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), daily average of the percentage of students attending class (% Attendance), average teacher salary in dollars (Salaries), and instructional spending per pupil in 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>= % Attendance, X<sub>2</sub>= Salaries and X<sub>3</sub>= Spending:    Note:    -Referring to Table 14-15, there is sufficient evidence that all of the explanatory variables is related to the percentage of students passing the proficiency test. Note:
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), daily average of the percentage of students attending class (% Attendance), average teacher salary in dollars (Salaries), and instructional spending per pupil in 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>= % Attendance, X<sub>2</sub>= Salaries and X<sub>3</sub>= Spending:    Note:    -Referring to Table 14-15, there is sufficient evidence that all of the explanatory variables is related to the percentage of students passing the proficiency test.
-Referring to Table 14-15, there is sufficient evidence that all of the explanatory variables is related to the percentage of students passing the proficiency test.


Definitions:

Hand Calculators

Portable electronic devices used for performing calculations, ranging from basic arithmetic to complex mathematical operations.

Price Elastic

Refers to the responsiveness of the quantity supplied or demanded of a good or service to a change in its price, often interchangeable with Price Elasticity of Demand or Supply depending on context.

Quantity Demanded

The total amount of a good or service that consumers are willing and able to purchase at a given price level in a given market at a specific time period.

Perfectly Inelastic

A situation where the quantity demanded or supplied does not change in response to a change in price.

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