What is the right answer and why? Question 7 0/ 2 pts Suppose we use a person\'s

Question

What is the right answer and why?

Question 7 0/ 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 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 Adjusted R2 0.2581 Mean Square Error (MSE) 23.9235 4.9000 Standard Deviation nterpret the standard deviation in this problem. 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 heights to fall within 4.9 inches of their least squares predicted values. We expect most of the sampled 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.

Explanation / Answer

Answer- Option (b) is correct. That is, we expect most of the sampled heights to fall within 4.9 inches of their lead square predicted values. As standard deviation tells that variation of the values from the mean values. Here regression also tells or predict about the mean value of the dependent variables basedon the mean values of the independent variables.

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