True or false: Inclusion of confounding factors in a multiple regression model enables us to get a more precise estimate of the primary association of interest independent of the confounding factors.

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True

False

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Mathematics

Memphis Francis

7 August, 15:58

True or false: Inclusion of confounding factors in a multiple regression model enables us to get a more precise estimate of the primary association of interest independent of the confounding factors.

Select one:

True

False

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Answers (1)

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Lainey Owen · Answer 1

True

Step-by-step explanation:

In multiple regression analysis, we can estimate the relationship between the main variable and a given result by including one or more confounding factors. The first step is to investigate the relationship between the main variable and a given result in the absence of a confounding factor. Then, the relationship between the main variable and the given result is also investigated in the presence of a confounding factor. Finally, the percent change in the two analyses is conducted.

True or false: Inclusion of confounding factors in a multiple regression model enables us to get a more precise estimate of the primary association of interest independent of the confounding factors.Select one:TrueFalse

True or false: Inclusion of confounding factors in a multiple regression model enables us to get a more precise estimate of the primary association of interest independent of the confounding factors.

Select one:

True

False