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If Computing a Causal Linear Regression Model of Y =

Question 19

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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.
E) None of the above

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