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 + 32
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LEU Richard | 80 |
| 6 | L'HOTE Antoine | 67 |
| 7 | ØRN-KRISTOFF Felix | 76 |
| 9 | GUALDI Simone | 61 |
| 13 | CHAMBERLAIN Oscar | 74 |
| 16 | SOLEN Keije | 67 |
| 19 | WIDAR Jarno | 54 |
| 20 | BARHOUMI Ilian Alexandre | 73 |
| 22 | HAUGLAND Kasper | 74 |