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 + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LIVINGSTON Kevin | 70 |
| 4 | MORIN Anthony | 79 |
| 6 | PÉREZ RODRÍGUEZ Luis | 67 |
| 7 | LÓPEZ DE MUNAIN Alberto | 65 |
| 8 | AEBERSOLD Niki | 58 |
| 10 | MONCOUTIÉ David | 69 |
| 11 | FERNÁNDEZ Bingen | 61 |
| 14 | ETXEBARRIA Unai | 68 |
| 15 | HALGAND Patrice | 67 |
| 18 | CAÑADA David | 65 |
| 19 | DIAZ Rafael | 55 |
| 20 | D'HOLLANDER Glenn | 74 |