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 = -1.4 * weight + 107
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BERHANE Natnael | 66 |
| 3 | JANSE VAN RENSBURG Reinardt | 74 |
| 5 | REGUIGUI Youcef | 69 |
| 8 | LAHSAINI Mouhssine | 77 |
| 9 | JELLOUL Adil | 58 |
| 13 | TEKLEHAIMANOT Daniel | 70 |
| 14 | LAGAB Azzedine | 63 |
| 15 | VENTER Jaco | 70 |
| 16 | NIYONSHUTI Adrien | 63 |
| 23 | MEINTJES Louis | 58 |
| 31 | CHAOUFI Tarik | 65 |
| 39 | GERMAIN Chris | 60 |
| 40 | CHAPONGO Bright | 56 |
| 48 | HADDI Soufiane | 63 |