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 + 34
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VERVLOESEM Xandres | 65 |
| 2 | DONOVAN Mark | 70 |
| 3 | VAN DEN BERG Marijn | 73 |
| 4 | PATTYN Steven | 63 |
| 6 | EVENEPOEL Remco | 61 |
| 7 | ANDERSEN Sander | 56 |
| 8 | VAN DER TUUK Danny | 64 |
| 11 | PONSAERTS Thibaut | 61 |
| 12 | COLLEONI Kevin | 66 |
| 14 | VAN TRICHT Stan | 64 |
| 16 | BONNEU Kamiel | 62 |