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 = -0.3 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VERHELST Louis | 71 |
| 2 | VERMELTFOORT Coen | 85 |
| 3 | BENOOT Tiesj | 72 |
| 4 | BLAIN Alexandre | 82 |
| 5 | BARBIER Rudy | 79 |
| 7 | REIHS Michael | 75 |
| 8 | ALAPHILIPPE Julian | 62 |
| 10 | ZANGERLE Joel | 63 |
| 11 | VAKOČ Petr | 68 |
| 12 | GUILLEMOIS Romain | 66 |
| 13 | SCULLY Tom | 85 |
| 14 | NAULEAU Bryan | 67 |
| 15 | MEURISSE Xandro | 71 |
| 16 | BREEN Vegard | 74 |
| 17 | STEENSEN André | 65 |