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Illuminating Statistical Analysis Using Scenarios and Simulations by Jeffrey E. Kottemann

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36Covariance

We now turn our attention to some of the most widely used methods in the statistical tool kit. By the end of Part IV we will have constructed a statistical model that predicts peoples' weight (scaled data) based upon their height (scaled data) and their sex (binomial data). We'll start off by looking at a visual aid called a scatterplot (Figure 36.1). It paints a pointillist picture of the relationship between pairs of variables (img, img). We'll make img be peoples' heights and img be peoples' weights. Each data point (img, img) on the scatterplot is the height and weight of one person.

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