Interpret the standard deviation in this problem. Group of answer choicesWe expect most of the sampled 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 dad's 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.

Hello some parts of your question is missing below is the missing part

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

Answer : We expect most of the sampled heights to fall within 9.8 inches of their least squares predicted values.

Step-by-step explanation:

standard deviation is the statistical measurement of the level at which a dataset disperses from its mean value

interpreting the standard deviation in this problem ,

given that the standard deviation is 4.9 inches, it simply means that the dataset heights will be either +4.9 inches or -4.9 inches away from the mean value. this means that most of the sampled Dad/'s height will fall within 9.8 inches of their least squares predicted values