0/ 2 pts Question 7 Suppose we use a person\'s dad\'s height to predict how shor

Question

0/ 2 pts Question 7 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 0.674990.12495 5.40 0.0002 R0.2673 Adjusted R' 0.2581 Mean Square Error (MSE) 23.9235 4.9000 Standard Deviation Interpret the standard deviation in this problem. We expect most of the sampled heights to fall within 4.9 inches of their least squares predicted values We expect most of the sampled dad's heights to fall within 9.8 inches of their least squares predicted values We expect most of the sampled dad's heights to fall within 4.9 inches of their least squares predicted values Fs F6 3 5

Explanation / Answer

as most of the data falls within 2 std deviaiton from mean therefore correct interpretation is:

we expect most of the sampled heights to fall within 9.8 inches of their least square predicted values.

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