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 = 0.5 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VANDENBROUCKE Frank | 67 |
| 2 | OLANO Abraham | 70 |
| 3 | SERRANO Marcos Antonio | 63 |
| 4 | ROBIN Jean-Cyril | 63 |
| 6 | BLANCO Santiago | 66 |
| 7 | FARAZIJN Peter | 69 |
| 9 | FRIGO Dario | 66 |
| 13 | DIERCKXSENS Ludo | 71 |
| 15 | AEBERSOLD Niki | 58 |
| 16 | HERAS Roberto | 59 |
| 18 | GARCÍA ACOSTA José Vicente | 76 |
| 20 | MAURI Melchor | 68 |
| 21 | ZBERG Markus | 69 |
| 23 | CAÑADA David | 65 |
| 24 | GONZÁLEZ DE GALDEANO Igor | 73 |
| 25 | MORI Massimiliano | 77 |