Incorrect 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 Dadsh 0.67499 0.12495 5.40 0.0002 R 0.2673 Mean Square Error IMSE) 23.9235 Adjusted R 0.2581 Standard Deviation 4.9000 Interpret the standard deviation in this problem. Wiechothecam total 4.9 het there We expect most of the sampled dad shto fall within 9 inches of the feast squares predicted values R? 0.2673 Mean Square Error (MSE) 23.9235 Adjusted R? 0.2581 Standard Deviation 4.9000 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. O 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. We expect most of the sampled heights to fall within 9.8 inches of their least squares predicted values