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 - 16
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | TYBOR Patrik | 72 |
| 3 | KANGANGI Suleiman | 64 |
| 4 | HOLLER Nikodemus | 58 |
| 6 | VAN ENGELEN Adne | 51 |
| 8 | LAHSAINI Mouhssine | 77 |
| 10 | CLAIN Médéric | 59 |
| 14 | JELLOUL Adil | 58 |
| 38 | CULLY Ján Andrej | 73 |
| 41 | BICHLMANN Daniel | 72 |
| 45 | TIGRINE Mehdi | 61 |