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 - 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ERIKSSON Lucas | 64 |
| 4 | SCHULZE Julian | 64 |
| 6 | KURIANOV Stepan | 74 |
| 8 | MADOUAS Valentin | 71 |
| 9 | AASVOLD Kristian | 61 |
| 10 | PEDERSEN Mads | 70 |
| 11 | WACHTER Alexander | 72 |
| 12 | YAMAMOTO Masaki | 63 |
| 13 | TOUZÉ Damien | 69 |
| 14 | FORTUNATO Lorenzo | 57 |
| 15 | THOMAS Benjamin | 68 |
| 17 | PER David | 81 |