Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.5 * weight + 46
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CORNU Dominique | 78 |
| 3 | ROELANDTS Jürgen | 78 |
| 4 | VANDEWALLE Kristof | 74 |
| 5 | MAES Nikolas | 78 |
| 7 | HERMANS Ben | 72 |
| 8 | BAKELANTS Jan | 67 |
| 10 | JACOBS Pieter | 68 |
| 11 | VANENDERT Jelle | 62 |
| 12 | NEIRYNCK Stijn | 78 |
| 13 | DE GREEF Francis | 77 |
| 15 | MEERSMAN Gianni | 63 |
| 16 | DEGAND Thomas | 63 |
| 19 | PARDINI Olivier | 68 |