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 = 0.3 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PIEPOLI Leonardo | 54 |
| 2 | JALABERT Laurent | 66 |
| 3 | OLANO Abraham | 70 |
| 4 | JIMÉNEZ José María | 70 |
| 5 | VAN DE WOUWER Kurt | 66 |
| 8 | BELTRÁN Manuel | 60 |
| 9 | CASERO Ángel Luis | 72 |
| 10 | DONATI Massimo | 75 |
| 11 | ESCARTÍN Fernando | 61 |
| 13 | TETERIOUK Andrei | 72 |
| 14 | PÉREZ RODRÍGUEZ Luis | 67 |
| 18 | DUFAUX Laurent | 60 |
| 19 | MØLLER Claus Michael | 70 |
| 20 | GONZÁLEZ DE GALDEANO Igor | 73 |