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 = -1.2 * weight + 98
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | LAHSAINI Mouhssine | 77 |
| 7 | TYBOR Patrik | 72 |
| 9 | BICHLMANN Daniel | 72 |
| 18 | HOLLER Nikodemus | 58 |
| 20 | CULLY Ján Andrej | 73 |
| 30 | CLAIN Médéric | 59 |
| 33 | JELLOUL Adil | 58 |
| 34 | VAN ENGELEN Adne | 51 |
| 35 | KANGANGI Suleiman | 64 |
| 39 | TIGRINE Mehdi | 61 |