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.
Chapter3: Polynomial Functions
Section: Chapter Questions
Problem 18T
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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.
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