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 + 62
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRUYNEEL Johan | 71 |
| 2 | CHIAPPUCCI Claudio | 67 |
| 4 | JALABERT Laurent | 66 |
| 9 | FONDRIEST Maurizio | 70 |
| 11 | ZBERG Beat | 72 |
| 12 | TONKOV Pavel | 70 |
| 14 | IMBODEN Heinz | 70 |
| 15 | REBELLIN Davide | 63 |
| 18 | ZAMANA Cezary | 74 |
| 22 | RIIS Bjarne | 71 |
| 23 | DUFAUX Laurent | 60 |
| 24 | HODGE Stephen | 74 |
| 26 | LELLI Massimiliano | 69 |
| 28 | WELTZ Johnny | 65 |
| 35 | ELLI Alberto | 71 |
| 43 | GIANETTI Mauro | 62 |