Red and yellow creates orange. Yellow and blue creates green. The secondary colors can be mixed further to create additional shades. Tertiary colors are the result of a primary and secondary color mixed together. For example, orange mixed with red creates red-orange.
Outliers And Influential Points. An outlier is a data point that diverges from an overall pattern in a sample. An outlier has a large residual (the distance between the predicted value () and the observed value (y)). Outliers lower the significance of the fit of a statistical model because they do not coincide with the model's prediction.
Outliers. Data points that diverge in a big way from the overall pattern are called outliers. There are four ways that a data point might be considered an outlier. 1  It could have an extreme X value compared to other data points. 2  It could have an extreme Y value compared to other data points. 3  It could have extreme X and Y values. 4  It might be distant from the rest of the data, even without extreme X or Y values.