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 - 18
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EISEL Bernhard | 74 |
| 2 | O'GRADY Stuart | 73 |
| 3 | SABIDO Hugo | 70 |
| 4 | RUBIERA José Luis | 69 |
| 6 | WEGMANN Fabian | 60 |
| 7 | VAN DE WALLE Jurgen | 74 |
| 10 | VIERHOUTEN Aart | 71 |
| 11 | VAN BON Léon | 72 |
| 13 | AMORISON Frédéric | 70 |
| 14 | ZBERG Markus | 69 |
| 15 | BILEKA Volodymyr | 65 |
| 18 | SCHMITZ Bram | 77 |
| 19 | VAUGRENARD Benoît | 72 |
| 20 | JOACHIM Benoît | 82 |