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 + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | SMIT Willie | 72 |
| 6 | LAVIEU Antoine | 60 |
| 7 | GONÇALVES José | 70 |
| 9 | CHAABANE Hichem | 70 |
| 10 | DAVEL WARD Shaun | 72 |
| 13 | FUKUSHIMA Shinichi | 62 |
| 14 | GIRDLESTONE Dylan | 66 |
| 16 | CRAVEN Dan | 75 |
| 20 | VAUBOURZEIX Thomas | 70 |
| 21 | NAKANE Hideto | 55 |
| 25 | DOUGALL Nic | 72 |