The Superintendent of a School District Wanted to Predict the Percentage

Multiple Choice

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. She believed that holding everything else constant, instructional spending per pupil had a positive but decreasing impact on percentage. Which of the following would be the most appropriate analysis to perform?

A) autoregressive modeling
B) exponential smoothing
C) least-squares forecasting with monthly or quarterly data
D) Linear regression with log transformation