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 + 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROGLIČ Primož | 65 |
| 2 | EVENEPOEL Remco | 63 |
| 3 | CICCONE Giulio | 58 |
| 4 | PETILLI Simone | 65 |
| 5 | HERREGODTS Rune | 70 |
| 6 | MARTIN Guillaume | 55 |
| 7 | SCHELLING Ide | 66 |
| 8 | BOL Jetse | 71 |
| 9 | CARAPAZ Richard | 62 |
| 10 | ONLEY Oscar | 62 |
| 11 | CARR Simon | 66 |
| 13 | JUUL-JENSEN Christopher | 73 |
| 14 | CEPEDA Jefferson Alveiro | 61 |
| 15 | EG Niklas | 60 |
| 16 | DE MARCHI Alessandro | 65 |