If Computing a Causal Linear Regression Model of Y =

Multiple Choice

If computing a causal linear regression model of Y = a + bX and the resultant r² is very near zero, then one would be able to conclude that

A) Y = a + bX is a good forecasting method.
B) Y = a + bX is not a good forecasting method.
C) a multiple linear regression model is a good forecasting method for the data.
D) a multiple linear regression model is not a good forecasting method for the data.