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 - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | KULSET Johannes | 58 |
| 4 | GRUEL Thibaud | 70 |
| 6 | ISIDORE Noa | 67 |
| 7 | SKOK Marcel | 65 |
| 8 | GRUSZCZYNSKI Filip | 60 |
| 9 | NORDHAGEN Jørgen | 59 |
| 11 | MATTIO Pietro | 70 |
| 12 | TURK Aljaž | 63 |
| 15 | GROß Matteo | 67 |
| 16 | TARLING Joshua | 78 |
| 17 | BENGELSDORF Lui | 76 |
| 18 | KADLEC Milan | 61 |
| 20 | ECKERSTORFER Benjamin | 62 |