Answer: 3.13; The regression line underpredicts the student's math test score.
Explanation:
Given the equation of a regression model:
ŷ = −23.5 + 0.8534s,
where ŷ = predicted math score
s = IQ score
An actual math test score for a student is 73.5 with an IQ of 110.
Using the model to predict the score is f the student above ;
ŷ = −23.5 + 0.8534(110)
ŷ = −23.5 + 93.874
y = 70.374
Actual score = 73.5
Hence, since the actual score is greater Than the predicted score, then the model underpredicted the score by
Residual = actual - predicted = (73.5 - 70.374) = 3.126 = 3.13