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 + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LEBAS Thomas | 65 |
| 4 | DEBESAY Mekseb | 64 |
| 5 | MONIER Damien | 75 |
| 10 | SHIMIZU Miyataka | 60 |
| 12 | AFEWERKI Elyas | 63 |
| 14 | HATSUYAMA Sho | 59 |
| 16 | LAHSAINI Mouhssine | 77 |
| 17 | MANSOURI Abderrahmane | 66 |
| 20 | GHEBREIGZABHIER Amanuel | 68 |
| 25 | MAMYKIN Matvey | 62 |