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The document discusses model-building techniques in multiple regression analysis, specifically focusing on backward elimination. It outlines the process of eliminating insignificant predictor variables from a full model until all remaining variables are statistically significant. Examples are provided to illustrate the application of backward elimination in predicting the Australian S&P/ASX 200 share price index using various international share price indices as predictors.

Author

Dinh Son Nguyen

Language

EN