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 + 26
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | IMPEY Daryl | 72 |
| 2 | DE BOD Stefan | 66 |
| 3 | JANSE VAN RENSBURG Reinardt | 74 |
| 4 | GIBBONS Ryan | 70 |
| 5 | GIRDLESTONE Keagan | 64 |
| 6 | VAN ZYL Johann | 72 |
| 7 | MEINTJES Louis | 58 |
| 8 | DOUGALL Nic | 72 |
| 9 | VENTER Jaco | 70 |
| 16 | VAN NIEKERK Morné | 64 |