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 = 0.6 * weight - 29
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EVENEPOEL Remco | 61 |
| 3 | VAN WILDER Ilan | 64 |
| 5 | GIRMAY Biniam | 70 |
| 6 | PARISINI Nicolò | 65 |
| 7 | MAAS Edo | 70 |
| 8 | PATTYN Steven | 63 |
| 9 | VAN DER BEKEN Aaron | 66 |
| 12 | TOUMIRE Hugo | 69 |
| 13 | RETAILLEAU Valentin | 64 |
| 14 | KRUL Wessel | 75 |
| 15 | VOLLMER Andrew | 67 |