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Statistical Modeling with R: FEV & Pima Data by yesar.oshan43 is a document available to read on EtoBox.

What is Statistical Modeling with R: FEV & Pima Data about?

The document discusses the application of linear regression and logistic regression models on datasets, including transformations to meet assumptions and model evaluations using AIC. It compares logistic regression and linear discriminant analysis (LDA) in terms of prediction accuracy and discusses the influence of predictors on the response variable. Additionally, it addresses the performance of quadratic discriminant analysis (QDA) in relation to LDA based on covariance homogeneity and variance in trainin

Author

yesar.oshan43

Language

EN