Suppose we use a person\'s dad\'s height to predict how short or tall the person
ID: 2949634 • Letter: S
Question
Suppose we use a person's dad's height to predict how short or tall the person will be by building a regression model to investigate if a relationship exists between the two variables. Suppose the regression results are as follows:
Least Squares Linear Regression of Height
Predictor
Variables Coefficient Std Error T P
Constant 20.2833 8.70520 2.33 0.0223
DadsHt 0.67499 0.12495 5.40 0.0002
R² 0.2673 Mean Square Error (MSE) 23.9235
Adjusted R² 0.2581 Standard Deviation 4.9000
Interpret the standard deviation in this problem.
A. We expect most of the sampled heights to fall within 4.9 inches of their least squares predicted values.Explanation / Answer
Solution: Interpret the standard deviation in this problem.
Answer: C. We expect most of the sampled dad's heights to fall within 4.9 inches of their least squares predicted values.
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