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 + 48
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LODEWYCK Klaas | 70 |
| 2 | VENTER Jaco | 70 |
| 7 | VANMARCKE Sep | 77 |
| 13 | STAUFF Andreas | 82 |
| 15 | VANDOUSSELAERE Sven | 71 |
| 17 | VAN POPPEL Boy | 78 |
| 21 | ŠIŠKEVIČIUS Evaldas | 80 |
| 22 | PIETERS Sibrecht | 73 |
| 26 | BAUGNIES Jérôme | 69 |
| 32 | VAN SCHELVEN Jeroen | 68 |
| 38 | VERNAECKT Thomas | 68 |
| 44 | BOECKMANS Kris | 76 |