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 = 0.9 * weight - 35
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GIANETTI Mauro | 62 |
| 4 | EARLEY Martin | 62 |
| 5 | ELLIOTT Malcolm | 76 |
| 9 | KELLY Sean | 77 |
| 13 | SCHEPERS Eddy | 60 |
| 14 | DERNIES Michel | 75 |
| 15 | ARNTZ Marcel | 70 |
| 16 | HOLM SØRENSEN Brian | 77 |
| 26 | ANDREU Frankie | 77 |
| 27 | JALABERT Laurent | 66 |
| 28 | LILHOLT Søren | 72 |
| 34 | HOSTE Frank | 76 |
| 35 | VAN DER POEL Adrie | 70 |
| 59 | DEMOL Dirk | 72 |
| 61 | PEETERS Wilfried | 76 |
| 71 | DEMIERRE Serge | 70 |