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 = 0.4 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | HOLLER Nikodemus | 58 |
| 4 | TYBOR Patrik | 72 |
| 5 | VAN ENGELEN Adne | 51 |
| 6 | BELLAN Juraj | 61 |
| 11 | KANGANGI Suleiman | 64 |
| 13 | JELLOUL Adil | 58 |
| 17 | LAHSAINI Mouhssine | 77 |
| 18 | BICHLMANN Daniel | 72 |
| 24 | CULLY Ján Andrej | 73 |
| 31 | TIGRINE Mehdi | 61 |