Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
11262796 | Journal of Experimental Child Psychology | 2019 | 11 Pages |
Abstract
We aimed at showing that children are able to identify and draw a line of best fit through a cloud of points according to the concept of linear regression. A sample of 72 children in third and fourth primary school grades were given two different tasks. In a first task, 10 different sheets with three illustrations of the same scatterplot with different lines of regression to choose from were presented. In a second task, scatterplots were given and children were asked to draw a line of best fit with pencil and ruler. In the first task bisector regression was preferred (Ï2 = 15.21, dfâ¯=â¯4, pâ¯=â¯.004), whereas in the second conventional regression ordinary least squares (X|Y) was favored (Ï2 = 27.14, dfâ¯=â¯4, pâ¯<â¯.001). In summary, the preference of the traditional regression model using a minimization in the vertical dimension was only partly supported by our data.
Related Topics
Social Sciences and Humanities
Psychology
Developmental and Educational Psychology
Authors
Nadine Maussner, Martin J. Tomasik, Reinhard Schuster, Thomas Ostermann,