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An Analyst Has Identified 3 Independent Variables (X1, X2, X3)

question 39

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An analyst has identified 3 independent variables (X1, X2, X3) which might be used to predict Y. He has computed the regression equations using all combinations of the variables and the results are summarized in the following table. Why is the R2 value for the X3 model the same as the R2 value for the X1 and X3 model, but the Adjusted R2 values differ? An analyst has identified 3 independent variables (X<sub>1</sub>, X<sub>2</sub>, X<sub>3</sub>)  which might be used to predict Y. He has computed the regression equations using all combinations of the variables and the results are summarized in the following table. Why is the R<sup>2</sup> value for the X<sub>3</sub> model the same as the R<sup>2</sup> value for the X<sub>1</sub> and X<sub>3</sub> model, but the Adjusted R<sup>2</sup> values differ?   A) The standard error for X<sub>1</sub> is greater than the standard error for X<sub>3</sub>. B) X<sub>1</sub> does not reduce ESS enough to compensate for its addition to the model. C) X<sub>1</sub> does not reduce TSS enough to compensate for its addition to the model. D) X<sub>1</sub> and X<sub>3</sub> represent similar factors so multicollinearity exists.


Definitions:

Isoprene

A common organic compound with the formula C5H8, used as a monomer in the production of natural and synthetic rubbers.

Steroids

A class of lipophilic compounds characterized by a core structure of four fused carbon rings, varying by the functional groups attached and serving in various biological roles.

Sesquiterpene

A class of terpenes that consist of three isoprene units and have the molecular formula C15H24.

Steroid

A type of organic molecule with a characteristic molecular structure containing four rings of carbon atoms (three six-membered and one five-membered).

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