The Superintendent of a School District Wanted to Predict the Percentage

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. 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.