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 = -0.2 * weight + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PALINI Andrea | 67 |
| 2 | HADDI Soufiane | 63 |
| 4 | CHTIOUI Rafaâ | 82 |
| 5 | MIRZA Yousif | 60 |
| 6 | MANCEBO Francisco | 64 |
| 7 | TIPPER Jacob | 78 |
| 8 | SALEH Mohd Harrif | 70 |
| 13 | LAHSAINI Mouhssine | 77 |
| 16 | SAIDI Nassim | 68 |
| 18 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 19 | CHEUNG King Lok | 59 |