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 - 27
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AÏT EL ABDIA Anass | 66 |
| 2 | OKUBAMARIAM Tesfom | 60 |
| 3 | PASCUAL Eusebio | 66 |
| 4 | BUDYAK Anatoliy | 53 |
| 6 | BOLE Grega | 69 |
| 7 | RAILEANU Cristian | 63 |
| 14 | BUTS Vitaliy | 68 |
| 15 | MURAD Tariq | 82 |
| 16 | MONK Cyrus | 67 |
| 18 | ASADOV Elchin | 77 |
| 19 | HJORTH Jonas | 67 |