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 + 34
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BEKAERT Yentl | 62 |
| 3 | BLUMMEL Robin | 76 |
| 7 | VERBOOM Minne | 84 |
| 9 | RAUGEL Antoine | 70 |
| 13 | VAN GRIEKEN Jarne | 71 |
| 18 | KAMP Ryan | 69 |
| 19 | RETAILLEAU Valentin | 64 |
| 22 | STEIGNER Kilian | 62 |
| 23 | LANGE Colby | 72 |
| 30 | ROBINSON Oliver | 74 |
| 31 | GOEMAN Andreas | 64 |
| 34 | BRESSELEERS Jonas | 75 |
| 36 | JOLLY Maxime | 70 |
| 42 | ASCHENBRENNER Michel | 70 |
| 44 | HERCHEL Dylan | 71 |