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 + 29
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCIANDRI Maximilian | 75 |
| 2 | VAN DER POEL Adrie | 70 |
| 6 | MUSEEUW Johan | 71 |
| 7 | EARLEY Martin | 62 |
| 8 | ZAMANA Cezary | 74 |
| 11 | DEN BAKKER Maarten | 71 |
| 14 | CASAGRANDE Francesco | 64 |
| 17 | HAMBURGER Bo | 58 |
| 18 | SUNDERLAND Scott | 65 |
| 20 | YATES Sean | 74 |
| 60 | CORDES Tom | 70 |