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 arelationship exists between the two variables. Suppose theregression results are as follows:

Least Squares Linear Regression of Height

Predictor

VariablesCoefficientStd ErrorTP

Constant20.28338.705202.330.0223

DadsHt0.674990.124955.400.0002

R 0.2673Mean Square Error (MSE)23.9235

Adjusted R 0.2581Standard Deviation4.9000

Which of the following alternative hypotheses would you recommend when conducting a test of hypothesis?

A. Ha:10

B. Ha:1= 0

C.Ha:1> 0

D.Ha: 1< 0