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 = -1.4 * weight + 149
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAUER Steve | 72 |
| 5 | GAYANT Martial | 69 |
| 6 | LILHOLT Søren | 72 |
| 14 | DUCLOS-LASSALLE Gilbert | 73 |
| 19 | SOLLEVELD Gerrit | 93 |
| 23 | RIIS Bjarne | 71 |
| 32 | DEMOL Dirk | 72 |
| 38 | TRINKLER Richard | 67 |
| 54 | WALTON Brian | 68 |
| 59 | RUÉ Gérard | 74 |
| 62 | DE WILDE Etienne | 70 |
| 66 | HOSTE Frank | 76 |
| 72 | DURAND Jacky | 76 |
| 78 | NIJDAM Jelle | 70 |
| 79 | BOMANS Carlo | 74 |
| 88 | SPEARS David | 63 |
| 109 | MARIE Thierry | 68 |