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 - 10
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MASNADA Fausto | 65 |
| 2 | ROGLIČ Primož | 65 |
| 3 | NOVAK Domen | 70 |
| 4 | FOLIFOROV Alexander | 61 |
| 5 | HILL Benjamin | 67 |
| 6 | URÁN Rigoberto | 63 |
| 7 | MAJKA Rafał | 62 |
| 8 | ARSLANOV Ildar | 63 |
| 9 | HINDLEY Jai | 60 |
| 10 | GROŠELJ Žiga | 62 |
| 11 | FORMOLO Davide | 62 |
| 12 | JANSEN Amund Grøndahl | 83 |
| 13 | KATRAŠNIK Gašper | 69 |
| 14 | KITTEL Marcel | 82 |