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 = -0.2 * weight + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BERTOLINI Alessandro | 63 |
| 2 | CABELLO Francisco | 72 |
| 3 | MOERENHOUT Koos | 74 |
| 4 | BELOKI Joseba | 68 |
| 6 | LANDALUZE Iñigo | 65 |
| 7 | DOMÍNGUEZ Juan Carlos | 64 |
| 9 | NIETO Germán | 68 |
| 10 | ROGERS Michael | 74 |
| 11 | ARRIETA José Luis | 68 |
| 12 | KLEYNEN Steven | 72 |
| 13 | FLORENCIO Xavier | 59 |
| 14 | TANKINK Bram | 71 |
| 15 | REBOLLO José Luis | 61 |
| 18 | CASERO Rafael | 74 |
| 19 | PARRA Iván Ramiro | 62 |