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 = 0.4 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | EVENEPOEL Remco | 61 |
| 3 | VAN WILDER Ilan | 64 |
| 5 | COLLEONI Kevin | 66 |
| 6 | VERMAERKE Kevin | 67 |
| 7 | DONOVAN Mark | 70 |
| 8 | ANDERSEN Sander | 56 |
| 9 | VANHOOF Ward | 75 |
| 10 | RETAILLEAU Valentin | 64 |
| 11 | MAINGUENAUD Tom | 63 |
| 15 | NABERMAN Tim | 70 |
| 16 | BELLERI Michael | 71 |
| 18 | VAN GRIEKEN Jarne | 71 |
| 20 | VAN TRICHT Stan | 64 |