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 = 0.2 * weight - 8
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GIRMAY Biniam | 70 |
| 2 | EVENEPOEL Remco | 61 |
| 4 | PARISINI Nicolò | 65 |
| 5 | VAN WILDER Ilan | 64 |
| 7 | SKOT-HANSEN Aksel Bech | 62 |
| 8 | NAUDTS Thomas | 60 |
| 10 | WACKER Ludvig Anton | 68 |
| 12 | VAN GRIEKEN Jarne | 71 |