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 + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SALGUEIRO Enrique | 73 |
| 4 | BELDA David | 53 |
| 5 | SANO Junya | 76 |
| 7 | DOMAGALSKI Karol | 77 |
| 8 | DUEÑAS Moisés | 61 |
| 9 | MORA Arturo | 65 |
| 10 | SILVA Bruno | 59 |
| 12 | TENNANT Andrew | 82 |
| 14 | DE LA CRUZ David | 66 |
| 15 | FERNANDEZ Higinio | 63 |
| 19 | MCEVOY Jonathan | 67 |
| 21 | OYARZÚN Carlos Iván | 66 |
| 25 | VAN DER HAAR Lars | 58 |