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 - 9
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | THALER Klaus-Peter | 60 |
| 14 | FERNÁNDEZ Juan | 68 |
| 19 | LASA Miguel María | 68 |
| 26 | KELLY Sean | 77 |
| 27 | VIEJO José Luis | 64 |
| 42 | MARTINELLI Giuseppe | 74 |
| 43 | ELORRIAGA Javier Francisco | 85 |
| 52 | DE WILDE Etienne | 70 |
| 53 | LADRÓN Rafael | 74 |
| 65 | POLLENTIER Michel | 62 |