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 + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GONZÁLEZ David | 68 |
| 2 | LÓPEZ-CÓZAR Juan Antonio | 70 |
| 3 | CÔTÉ Pier-André | 74 |
| 4 | YATES Simon | 58 |
| 5 | MUÑOZ Daniel | 57 |
| 6 | OURSELIN Paul | 70 |
| 7 | MCLAY Daniel | 72 |
| 8 | ELOSEGUI Iñigo | 75 |
| 9 | CHAVES Esteban | 55 |
| 10 | IZAGIRRE Gorka | 66 |
| 11 | POLANC Jan | 62 |