Multiple Regression with Varying Levels of Correlation among Predictors: Monte Carlo Sampling from Normal and Non-Normal Populations.

Vasu, Ellen Storey

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Peer reviewed

ERIC Number: EJ193446

Record Type: Journal

Publication Date: 1978

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Multiple Regression with Varying Levels of Correlation among Predictors: Monte Carlo Sampling from Normal and Non-Normal Populations.

Vasu, Ellen Storey

Educational and Psychological Measurement, v38 n3 p633-45 Fall 1978

The effects of the violation of the assumption of normality in the conditional distributions of the dependent variable, coupled with the condition of multicollinearity upon the outcome of testing the hypothesis that the regression coefficient equals zero, are investigated via a Monte Carlo study. (Author/JKS)

Descriptors: Correlation, Hypothesis Testing, Matrices, Monte Carlo Methods, Multiple Regression Analysis, Research Design

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Language: English

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