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Stats Chapter 9
vocab
| Question | Answer |
|---|---|
| extrapolation | although linear models provide an easy way to predict values of y for a given value of x, it is unsafe to predict for values of x far from the ones used to find the linear model equation, predictions should not be trusted |
| outlier | any data point that stands away from the others can be called an outlier; an have a large residual or high leverage |
| leverage | data points whose x values are far from the mean of x are said to exert leverage on a linear model; high leverage points pull the line close to them |
| influential point | omitting a point from the data results in a very different regression model then that point is called an influential point |
| lurking variable | a variable that is not explicitly part of a model but affects the way the variable in model appear to be related is called lurking variable; |
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