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 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HUNTER Robert | 72 |
| 3 | GIRDLESTONE Dylan | 66 |
| 4 | ANTOMARCHI Julien | 70 |
| 6 | GONÇALVES José | 70 |
| 10 | CHAABANE Hichem | 70 |
| 11 | FUKUSHIMA Shinichi | 62 |
| 12 | DAVEL WARD Shaun | 72 |
| 13 | MCLEOD Ian | 66 |
| 15 | BALIANI Fortunato | 66 |
| 20 | VAUBOURZEIX Thomas | 70 |
| 22 | LAVIEU Antoine | 60 |
| 23 | REINHARDT Theo | 72 |
| 24 | CRAVEN Dan | 75 |