Learn to test for multicollinearity in SPSS with data from the English health survey (teaching dataset) (2002)
2019
Jones, Julie Scott
This dataset is designed for learning to test for multicollinearity in statistical analysis, specifically, multiple linear regression analysis. The dataset is a subset of data derived from the 2002 English Health Survey (Teaching Dataset). Prior to running any multiple linear regression model, we need to test our data for a number of assumptions, one of which is that there is no multicollinearity among the predictor (or independent) variables. Collinearity is a correlation between two predictor (or independent) variables in a regression model whereby they express a linear relationship. Multicollinearity is where more than two predictor (or independent) variables are associated. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for IBM® SPSS®.
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Эту запись предоставил National Agricultural Library
