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 = -0.1 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CHANTEUR Pascal | 62 |
| 3 | PETITO Roberto | 78 |
| 4 | MOREAU Christophe | 71 |
| 5 | DOMÍNGUEZ Juan Carlos | 64 |
| 7 | FAGNINI Gian Matteo | 70 |
| 8 | ZBERG Markus | 69 |
| 9 | EKIMOV Viatcheslav | 69 |
| 10 | SALMON Benoît | 60 |
| 11 | GONZÁLEZ Santos | 70 |
| 12 | GOUGOT Fabrice | 72 |
| 13 | FONDRIEST Maurizio | 70 |
| 14 | CASAGRANDE Francesco | 64 |
| 16 | NOÈ Andrea | 65 |
| 17 | ROUS Didier | 70 |