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 = -0.5 * weight + 42
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GEBHARDT Philipp | 75 |
| 2 | HAJEK Alexander | 55 |
| 3 | KÄRSTEN Moritz | 75 |
| 4 | ISIDORE Noa | 67 |
| 7 | KADLEC Milan | 61 |
| 8 | KESS Alexandre | 70 |
| 10 | KERSCHBAUMER Leo | 68 |
| 11 | BRENNSÆTER Trym | 66 |
| 13 | MRÁZ Daniel | 66 |
| 17 | PLACE Maxence | 58 |
| 18 | MÜLLER Tobias | 64 |
| 19 | GRUEL Thibaud | 70 |
| 20 | SIVOK Tomáš | 53 |
| 23 | ROLLAND Brieuc | 59 |