2 pts Suppose we use a person\'s dad\'s height to predict how short or tall the

Question

2 pts 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 relationhip exists between the two variables, Suppose the regression results are as ollows Least Squares Linear Regression of Height Predictor Variables Coefficient Std Error T Constant20.2833 8.70520 2.33 0.0223 DadsHt 0.67499 0.12495 5.40 00002 Mean Square Error (MSE) 23.9235 Adjusted R' 0.2581 Standard Deviation 4.9000 0.2673 Which interpretation of the y-intercept estimate would be appropriate? No practical interpretation is possible since height-O inches doesn't ake ee No practical interpretation is possible since dad's height-0 inches doesn't make For every additional inch in dad's height, we estimate height to increase by 675 For every additional inch in dad's height we estimate height to increase by sense inches inches

Explanation / Answer

The y - intercept given here is equal the coefficient from the coefficient column for Constant.

It is given to be: 20.2833

Note that the dad's height here is the independent variable, clearly this value cannot be 0, therefore there cannot be any practical inference about the intercept. Therefore B is the correct answer here.

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