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 = -0.4 * weight + 36
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROELANDTS Jürgen | 78 |
| 2 | BOLE Grega | 69 |
| 3 | BOOM Lars | 75 |
| 5 | LEEZER Tom | 76 |
| 6 | JACOBS Pieter | 68 |
| 8 | ŠPILAK Simon | 68 |
| 9 | HERMANS Ben | 72 |
| 13 | CORNU Dominique | 78 |
| 16 | DEVILLERS Gilles | 62 |