Final and course grade: For this data set, the least squares regression line is Y = 31.72 + 0.62X, where X represents the final exam score as a percent and Y represents the predicted course grade as a percent. A student who earns a 45% on the final exam is predicted to earn a course grade of 32%. Which one of the following is a reason the prediction is not accurate? There is a calculation error. There are no students in the data set who earned 45% on the final exam. This is considered an extrapolation.

Final and course grade: For this data set, the least squares regression line is Y = 31.72 + 0.62X, where X represents the final exam score as a percent and Y represents the predicted course grade as a percent. A student who earns a 45% on the final exam is predicted to earn a course grade of 32%. Which one of the following is a reason the prediction is not accurate? There is a calculation error. There are no students in the data set who earned 45% on the final exam. This is considered an extrapolation.

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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