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 = -1.5 * weight + 114
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MONIER Damien | 75 |
| 2 | CHAABANE Hichem | 70 |
| 3 | REGUIGUI Youcef | 69 |
| 5 | SHIMIZU Miyataka | 60 |
| 6 | LEBAS Thomas | 65 |
| 13 | AÏT EL ABDIA Anass | 66 |
| 17 | MANSOURI Abderrahmane | 66 |
| 26 | AFEWERKI Elyas | 63 |
| 46 | GHEBREIGZABHIER Amanuel | 68 |
| 47 | TSUBAKI Hiroshi | 62 |