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 = -0.1 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ÄRM Rait | 75 |
| 2 | HEMING Miká | 68 |
| 3 | LAAS Martin | 76 |
| 4 | ŠTOČEK Matúš | 80 |
| 8 | UHLIG Henri | 69 |
| 10 | AAGAARD HANSEN Tobias | 77 |
| 11 | JANUŠKEVIČIUS Mantas | 72 |
| 13 | ROOS Andre | 76 |
| 14 | CORTJENS Ryan | 76 |
| 16 | AVONDTS Mathis | 62 |
| 18 | RÄIM Mihkel | 69 |
| 20 | LAŠINIS Venantas | 69 |
| 22 | HEINRICH Nicolas | 76 |
| 24 | BÁRTA Tomáš | 79 |