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 = -0.3 * weight + 30
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAZHKOU Stanislau | 65 |
| 2 | JELLOUL Adil | 58 |
| 3 | PAPOK Siarhei | 76 |
| 4 | TYBOR Patrik | 72 |
| 5 | ABERASTURI Jon | 69 |
| 6 | PALINI Andrea | 67 |
| 7 | OKUBAMARIAM Tesfom | 60 |
| 8 | MIRZA Yousif | 60 |
| 9 | GUARDIOLA Salvador | 65 |
| 10 | MANCEBO Francisco | 64 |
| 11 | JULES Justin | 64 |
| 19 | AFEWERKI Elyas | 63 |
| 22 | HADDI Soufiane | 63 |
| 23 | MAT AMIN Mohd Shahrul | 54 |
| 24 | JOVANOVIĆ Nebojša | 60 |
| 25 | ASADOV Elchin | 77 |
| 26 | HIRAI Eiichi | 63 |