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 = -0.1 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HARMELING Rob | 76 |
| 4 | MUSEEUW Johan | 71 |
| 5 | JALABERT Laurent | 66 |
| 7 | GAYANT Martial | 69 |
| 8 | CAPELLE Christophe | 73 |
| 10 | BAUER Steve | 72 |
| 13 | ANDREU Frankie | 77 |
| 14 | ELLIOTT Malcolm | 76 |
| 19 | FIGNON Laurent | 67 |
| 20 | ARGENTIN Moreno | 66 |
| 23 | MOREAU Francis | 77 |
| 24 | DE WILDE Etienne | 70 |