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 - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HERVÉ Pascal | 62 |
| 2 | CUESTA Iñigo | 62 |
| 3 | ZANINI Stefano | 80 |
| 4 | GARZELLI Stefano | 62 |
| 5 | JALABERT Laurent | 66 |
| 6 | CASAGRANDE Francesco | 64 |
| 7 | FRATTINI Francesco | 60 |
| 8 | HAMBURGER Bo | 58 |
| 9 | ELLI Alberto | 71 |
| 10 | ZBERG Beat | 72 |
| 11 | VERHEYEN Geert | 68 |
| 12 | VELO Marco | 70 |
| 14 | CHIAPPUCCI Claudio | 67 |