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 = 0.3 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAGNIEN Emmanuel | 68 |
| 2 | CHANTEUR Pascal | 62 |
| 3 | KOERTS Jans | 78 |
| 8 | FRASER Gordon | 71 |
| 9 | ROBIN Jean-Cyril | 63 |
| 10 | VOSKAMP Bart | 75 |
| 11 | VAN BON Léon | 72 |
| 13 | SEIGNEUR Eddy | 71 |
| 14 | CASERO Ángel Luis | 72 |
| 15 | EECKHOUT Niko | 73 |