A Major Concern That Arises with Multiple Linear Regression Is

question 97

Multiple Choice

A major concern that arises with multiple linear regression is multicollinearity, which exists

• A) in simple linear regression, when the dependent variable is not normally distributed.
• B) in simple linear regression, when the r² statistic is low.
• C) in multiple linear regression, when the r² statistic is low.
• D) in multiple linear regression, when two or more independent variables are correlated with one another.
• E) in multiple linear regression, when spurious correlation exists.

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Definitions:

Within-Subject Design

A research design in which the same group of subjects is exposed to all treatments or conditions, allowing direct comparison of different interventions on the same people.

Confounds

Confounds refer to variables that the researcher failed to control or eliminate, which can cause a potential alternative explanation for the findings in a study.

Precise Matching

The act of exactly aligning or fitting two or more elements together based on specific characteristics or criteria.

Replication

The process of duplicating an experiment or research study to confirm its findings in another context or sample.