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 = -2.2 * weight + 171
This means that on average for every extra kilogram weight a rider loses -2.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WACKERMANN Luca | 68 |
| 2 | DŽERVUS Darijus | 77 |
| 4 | OKUBAMARIAM Tesfom | 60 |
| 6 | NOUISRI Ali | 74 |
| 8 | ARERUYA Joseph | 74 |
| 11 | ŠIŠKEVIČIUS Paulius | 70 |
| 15 | VAITKUS Tomas | 75 |
| 30 | AFEWERKI Elyas | 63 |
| 49 | MUGISHA Samuel | 62 |
| 71 | HAAS Christian | 60 |