A linear regression line y = 80 + 0.2x is computed to predict the final exam score y on the basis of the first score x on the first test. Suppose Maria scores a 95 on the first test. What would be the predicted value of her score on the final exam? STEP 1: Substitute the value of the first test into the equation of the linear regression line. y = 80 + 0.2 STEP 2: Solve the equation of the linear regression line. y =
A linear regression line y = 80 + 0.2x is computed to predict the final exam score y on the basis of the first score x on the first test. Suppose Maria scores a 95 on the first test. What would be the predicted value of her score on the final exam? STEP 1: Substitute the value of the first test into the equation of the linear regression line. y = 80 + 0.2 STEP 2: Solve the equation of the linear regression line. y =
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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Question
A linear regression line
y = 80 + 0.2x
is computed to predict the final exam score y on the basis of the first score x on the first test. Suppose Maria scores a 95 on the first test. What would be the predicted value of her score on the final exam?
STEP 1: | Substitute the value of the first test into the equation of the linear regression line. y = 80 + 0.2
|
||
STEP 2: | Solve the equation of the linear regression line. y = |
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