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Stats Chapter 9


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;
Created by: 697421973