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This chapter delves into the essential elements of regression and correlation, emphasizing their limitations in describing linear relationships. It highlights the dangers of extrapolation, which can lead to unreliable results, and underscores the importance of always visualizing data prior to interpretation. Key concepts such as outliers, influential observations, lurking variables, and the risks associated with correlations based on averages are discussed, providing a comprehensive guide for effectively utilizing regression analysis.
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Chapter ThreeDay Seven Regression Wisdom
Homework • P. 238 59,62 • P. 242 63,64
Regression Wisdom • Correlation and regression describe only linear relationships • Extrapolation often produces unreliable results • Correlation is not resistant – always plot your data before you interpret r. • Look for outliers and influential observations • Beware of lurking variables • Beware of correlations based on averages