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 - 24
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VACEK Mathias | 75 |
| 2 | BRENNER Marco | 59 |
| 3 | ARTZ Huub | 71 |
| 4 | NYS Thibau | 64 |
| 6 | HAJEK Alexander | 55 |
| 7 | AUGUST Andrew | 57 |
| 8 | BUSATTO Francesco | 62 |
| 9 | VANDENSTORME Dylan | 64 |
| 10 | BRENNSÆTER Trym | 66 |
| 11 | JACQUES Lucas | 67 |
| 13 | KVAM Kalle | 72 |
| 14 | HERZOG Emil | 74 |
| 18 | BITTNER Pavel | 73 |
| 20 | DEBRUYNE Ramses | 66 |
| 21 | STIANSEN Jesper | 67 |
| 22 | SCHWARZBACHER Matthias | 72 |
| 24 | RAVNØY Johan | 78 |