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 + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAGAB Azzedine | 63 |
| 3 | SHIMIZU Miyataka | 60 |
| 4 | GHEBREIGZABHIER Amanuel | 68 |
| 5 | LEBAS Thomas | 65 |
| 8 | CHAABANE Hichem | 70 |
| 12 | DEBESAY Mekseb | 64 |
| 15 | MAMYKIN Matvey | 62 |
| 16 | HATSUYAMA Sho | 59 |
| 17 | AFEWERKI Elyas | 63 |
| 18 | AÏT EL ABDIA Anass | 66 |
| 27 | SAIDI Nassim | 68 |
| 28 | TSUBAKI Hiroshi | 62 |