
Regression
(A worked Problem: This procedure is explained in Chapter 9)
Suppose that the height of an individual is correlated with her reaction time to a light flash. In general shorter people tend to be faster than teller people. The data that you will need for this problem are below:
Height: Mean =66 inches Standard Deviation = 4 inches
Reaction Time: Mean = 300 milliseconds Standard Deviation = 60 milliseconds
The correlation coefficient between height and reaction time = .65
1. Predict the reaction time of a person who is 65 inches tall.
2. Predict the height of a person who has a reaction time of 320 milliseconds.
Before we begin the problem we must determine which variable we will call
Y and which variable we will call X.
For this problem I will call Height "X" and I will
call Reaction Time "Y."
Therefore:

I. Predict the reaction time of a person who is 65 inches tall.
A. Predict Y if X = 65

B. Compute the standard error of the estimate for predicting Y given that you have an X.

C. We predict that:
![]()
Hint: Remember that all predictions must be
accompanied by the standard error of the estimate.
A prediction without
the standard error of the estimate is wrong!
Before we begin the problem we must determine which variable we will call
Y and which variable we will call X.
For this problem I will call Height "X" and I will
call Reaction Time "Y."
Therefore:

II. Predict the height of a person who has a reaction time of 320
milliseconds
A. Predict X if Y = 320

B. Compute the standard error of the estimate for predicting X given that you have a Y.

C. We predict that:
![]()
Hint: Remember that all predictions must be
accompanied by the standard error of the estimate.
A prediction without
the standard error of the estimate is wrong!
Copyright © 2004 by Mark W. Vernoy