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.
An outlier is an observation that appears to deviate markedly from other observations in the sample. Identification of potential outliers is important for the following reasons. An outlier may indicate bad data. For example, the data may have been coded incorrectly or an experiment may not have been run correctly. If it can be determined that an outlying point is in fact erroneous, then the outlying value should be deleted from the analysis (or corrected if possible).