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An analysis of the impact of data scaling on regression analysis using a tobacco consumption dataset. The original and scaled data, regression equations, and statistical measures such as r-squared and standard error. The study examines the relationship between weight, cigarette consumption, and famine, controlling for packs smoked per day.
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