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 = 0.2 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VEIKKANEN Jussi | 66 |
| 2 | GUESDON Frédéric | 73 |
| 3 | SOKOLOV Evgeny | 70 |
| 5 | DETILLOUX Christophe | 62 |
| 7 | JÉGOU Lilian | 71 |
| 9 | MENGIN Christophe | 68 |
| 10 | ROLLIN Dominique | 83 |
| 12 | DMITRIYEV Valeriy | 69 |
| 15 | BOUET Maxime | 67 |
| 18 | MASSON Christophe | 68 |
| 21 | GÉRARD Arnaud | 70 |
| 23 | MORTENSEN Martin | 70 |
| 29 | GRUZDEV Dmitriy | 78 |
| 32 | HOOGERLAND Johnny | 65 |