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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, estimate the mean percentage of students passing the proficiency test for all the schools that have a daily mean of 95% of students attending class, an 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 daily mean of 95% of students attending class, an mean teacher salary of 40,000 dollars, and an instructional spending per pupil of 2,000 dollars.

Understand the formulas for calculating net pay and gross pay.
Calculate FICA-OASDI and Medicare taxes based on established rates and income limits.
Identify components of FICA.
Recognize the regulations under the Fair Labor Standards Act concerning overtime pay.

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