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 = -0.6 * weight + 65
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WALLIN Rasmus Bøgh | 78 |
| 2 | NYBORG BROGE Nils Lau | 75 |
| 3 | LARSEN Mathias Alexander Erik | 72 |
| 6 | LENNARTSSON Hugo | 69 |
| 11 | MENGEL Nikolaj | 65 |
| 12 | SANDER HANSEN Marcus | 68 |
| 16 | KONGSTAD Tobias | 75 |
| 17 | KVAM Kalle | 72 |
| 19 | STÅLBERG Albin | 78 |
| 25 | LYCHOU Viktor | 78 |
| 28 | PEDERSEN Rasmus Søjberg | 74 |
| 29 | HILLERSTRÖM RUNDH Victor | 65 |
| 34 | KLEVGÅRD Kristian | 74 |
| 37 | TOUDAL Emil | 72 |
| 38 | PEDERSEN Eric | 61 |