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 = 0.6 * weight - 31
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BIDOT Jean | 65 |
| 2 | VERVAECKE Julien | 70 |
| 7 | MAGNE Antonin | 74 |
| 9 | LEDUCQ André | 76 |
| 11 | BROSTEAUX Georges | 70 |
| 13 | PERRAIN Julien | 75 |
| 16 | MATTON Jules | 73 |
| 17 | MEUNIER Charles | 71 |
| 19 | LOUESSE Désiré | 65 |
| 22 | LERME Paul | 78 |
| 27 | VAN VLASLAER François | 82 |
| 29 | BARIFFI Guy | 65 |
| 34 | FRANTZ Nicolas | 78 |