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Pivot Points in Bivariate Linear Regression
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作者 carl v. lutzer David L. Farnsworth 《Open Journal of Statistics》 2021年第3期393-399,共7页
There are little-noticed points in the plane, which are artifacts of linear regression. The points, which are called pivot points, are the intersections of sets of regression lines. We derive the coordinates of the pi... There are little-noticed points in the plane, which are artifacts of linear regression. The points, which are called pivot points, are the intersections of sets of regression lines. We derive the coordinates of the pivot point and explain its sources. We show how a pivot point arises in a certain notable data set, which has been analyzed often for points of high leverage. We obtain the application of pivot points that shortens calculations when updating a set of bivariate observations by adding a new point. 展开更多
关键词 Augmented Data Set Bilinear Regression Influence Leverage Pivot Point Updating a Regression Line
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