A monte carlo approach to correlational spuriousness and ratio variables#x2020;

摘要

Ratio variables, emphasizing correlated denominators, are constructed in three ways. Five ratio variable multiple regression situations are constructed, each with five predictor variables.One of these displays strong "spurious" effects resulting from the use of ratio variables, Using Monte Carlo techniques, one hundred samples for each of four sample sizes (i.e., N =25, 50, 100, 200) are drawn and six average statistics are computed for five additional regression situations created with multicollinearity