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    Exam 15: Multivariate Statistical Analysis
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    When Several Independent Variables Are Highly Correlated with Each Other
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When Several Independent Variables Are Highly Correlated with Each Other

Question 15

Question 15

Multiple Choice

When several independent variables are highly correlated with each other, the effect is known as:


A) parsimony.
B) multicollinearity.
C) communality.
D) partiality.

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