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 * weight + 13
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WRIGHT Fred | 75 |
| 3 | ŠTOČEK Matúš | 80 |
| 4 | PIDCOCK Thomas | 58 |
| 5 | MÄRKL Niklas | 70 |
| 11 | GAMPER Florian | 86 |
| 12 | SEDLACEK Vojtěch | 65 |
| 13 | POTOČKI Viktor | 58 |
| 14 | JARC Aljaž | 75 |
| 15 | HOLLMANN Juri | 70 |
| 16 | BERGSTRÖM FRISK Erik | 67 |
| 17 | JORGENSON Matteo | 69 |
| 22 | BAYER Tobias | 71 |
| 25 | KVIST Linus | 72 |
| 27 | BRITTON Rhys | 69 |
| 28 | AMANN Dominik | 76 |