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 = -0.8 * weight + 73
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | YATES Jeremy | 73 |
| 2 | KEISSE Iljo | 72 |
| 3 | ELIJZEN Michiel | 80 |
| 5 | KAISEN Olivier | 82 |
| 6 | MEERSMAN Gianni | 63 |
| 8 | GREIPEL André | 80 |
| 10 | WEYLANDT Wouter | 72 |
| 11 | WYNANTS Maarten | 74 |
| 13 | GROSDENT William | 74 |
| 15 | MARTENS Paul | 69 |
| 17 | NEYENS Maarten | 74 |
| 18 | PICHOT Alexandre | 72 |
| 22 | RAVARD Anthony | 62 |
| 23 | PEDERSEN Martin | 62 |
| 25 | INGELS Nick | 70 |
| 30 | BENETSEDER Josef | 65 |