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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 mean of the percentage of students attending class (% Attendance), mean 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 mean of the percentage of students attending class (% Attendance), mean 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:    -Referring to Table 14-15, what is the standard error of estimate?
-Referring to Table 14-15, what is the standard error of estimate?


Definitions:

Centered

In statistics, adjusting data values by subtracting the mean of the data set from each value to have an average of zero.

Perfect Substitute

Goods or services that can be used in exactly the same way and are considered interchangeable by the consumer.

Indifference Curve

A graph representing combinations of two goods that provide an individual with the same level of satisfaction and utility.

Convex Preferences

A situation in consumer theory where a consumer prefers combinations or mixtures of goods to extreme amounts of either good, illustrating a desire for diversified consumption.

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