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 + 32
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STEEGMANS Gert | 82 |
| 2 | ZBERG Markus | 69 |
| 3 | HUNT Jeremy | 76 |
| 6 | GESINK Robert | 70 |
| 9 | EECKHOUT Niko | 73 |
| 10 | REBELLIN Davide | 63 |
| 11 | SABIDO Hugo | 70 |
| 12 | HOVELIJNCK Kurt | 75 |
| 13 | KIRCHEN Kim | 68 |
| 14 | DA CRUZ Carlos | 74 |
| 16 | RUBIERA José Luis | 69 |
| 17 | MINARD Sébastien | 65 |
| 18 | GÉRARD Arnaud | 70 |
| 21 | WYNANTS Maarten | 74 |
| 25 | SERPELLINI Marco | 75 |