So far, you have worked with one variable at a time. From exploratory data analysis (EDA) to detecting normality, the focus has been on a single variable such as flipper lengths or ages. Your first steps in predictive analytics – normal probabilities and z-scores – were also for only a single variable. While tallies and counts of a single variable are quite useful, predictive analytics often seeks to understand the relationship between two or more ...
© Matt Wiley, Joshua F. Wiley 2020
M. Wiley, J. F. WileyBeginning R 4 https://doi.org/10.1007/978-1-4842-6053-1_88. Correlation and Regression
(1)
Victoria College, Victoria, TX, USA
(2)
Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
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