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 - 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DI LUCA Danilo | 61 |
| 2 | MARTÍN PERDIGUERO Miguel Ángel | 63 |
| 3 | VALVERDE Alejandro | 61 |
| 4 | PINEAU Jérôme | 65 |
| 5 | CUNEGO Damiano | 58 |
| 6 | ETXEBARRIA David | 55 |
| 7 | BOOGERD Michael | 62 |
| 8 | ZABALLA Constantino | 66 |
| 9 | KESSLER Matthias | 70 |
| 10 | ROGERS Michael | 74 |
| 11 | HALGAND Patrice | 67 |
| 12 | PELLIZOTTI Franco | 64 |
| 13 | CAÑADA David | 65 |
| 14 | RODRÍGUEZ Joaquim | 58 |
| 15 | MCGEE Bradley | 72 |