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 = -0.6 * weight + 58
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JALABERT Laurent | 66 |
| 3 | BAFFI Adriano | 70 |
| 4 | BARTOLI Michele | 65 |
| 7 | OLANO Abraham | 70 |
| 9 | ZAMANA Cezary | 74 |
| 11 | ZÜLLE Alex | 72 |
| 15 | BLIJLEVENS Jeroen | 70 |
| 16 | MAURI Melchor | 68 |
| 17 | CHANTEUR Pascal | 62 |
| 24 | RODRIGUES Orlando Sergio | 68 |
| 26 | SERRANO Marcos Antonio | 63 |
| 27 | GIANETTI Mauro | 62 |
| 28 | BRUYNEEL Johan | 71 |
| 29 | EKIMOV Viatcheslav | 69 |