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 + 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HAMBURGER Bo | 58 |
| 5 | ULLRICH Jan | 73 |
| 6 | VASSEUR Cédric | 70 |
| 7 | BARANOWSKI Dariusz | 68 |
| 8 | CASERO Ángel Luis | 72 |
| 11 | HEPPNER Jens | 69 |
| 12 | REBELLIN Davide | 63 |
| 13 | GOUGOT Fabrice | 72 |
| 14 | MOREAU Christophe | 71 |
| 15 | ARRIETA José Luis | 68 |
| 18 | JEMISON Marty | 71 |
| 19 | SALMON Benoît | 60 |
| 20 | MADOUAS Laurent | 70 |