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 = 0.2 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZÜLLE Alex | 72 |
| 2 | JALABERT Laurent | 66 |
| 3 | BARTOLI Michele | 65 |
| 5 | VIRENQUE Richard | 65 |
| 6 | GIANETTI Mauro | 62 |
| 8 | MAURI Melchor | 68 |
| 9 | OLANO Abraham | 70 |
| 10 | BRUYNEEL Johan | 71 |
| 11 | CASERO Ángel Luis | 72 |
| 12 | GARCÍA CASAS Félix Miguel | 63 |
| 13 | RODRIGUES Orlando Sergio | 68 |
| 14 | PLAZA David | 68 |