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 1 = Salaries and X 2 = Spending:

-Referring to Scenario 14-14,the predicted mileage for a 200 horsepower,4-cylinder car is
.

Question

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 1 = Salaries and X 2 = Spending:

-Referring to Scenario 14-14,the predicted mileage for a 200 horsepower,4-cylinder car is
.

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The Answer of 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 1 = Salaries and X 2 = Spending:

-Referring to Scenario 14-14,the predicted mileage for a 200 horsepower,4-cylinder car is
.

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