And, no data points will stand out from the basic random pattern of the other residuals. fits plot." That is, a well-behaved plot will bounce randomly and form a roughly horizontal band around the residual = 0 line. predictor plot" is identical to that for a "residuals vs. predictor plot can help to determine whether the predictor should be added to the model (and hence a multiple regression model used instead). On the other hand, if the predictor on the x axis is a new and different predictor, the residuals vs. predictor plot offers no new information to that which is already learned by the residuals vs. For a simple linear regression model, if the predictor on the x axis is the same predictor that is used in the regression model, the residuals vs. predictor plot." It is a scatter plot of residuals on the y axis and the predictor ( x) values on the x axis.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |