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 - 23
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GAYANT Martial | 69 |
| 6 | LILHOLT Søren | 72 |
| 9 | VERSTREPEN Johan | 66 |
| 10 | VAN DER POEL Adrie | 70 |
| 14 | RUÉ Gérard | 74 |
| 19 | GARMENDIA Aitor | 68 |
| 21 | JALABERT Laurent | 66 |
| 28 | DE WILDE Etienne | 70 |
| 32 | MADOUAS Laurent | 70 |
| 33 | CHEVALLIER Philippe | 69 |
| 36 | DUCLOS-LASSALLE Gilbert | 73 |