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 = -0.1 * weight + 20
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOOIJ Olav | 72 |
| 2 | PHILIPSEN Jasper | 75 |
| 4 | DUPONT Timothy | 72 |
| 5 | CORT Magnus | 68 |
| 6 | DE KLEIJN Arvid | 68 |
| 7 | STUYVEN Jasper | 78 |
| 8 | LUNDER Eirik | 78 |
| 9 | PERON Andrea | 70 |
| 10 | BANASZEK Adrian | 79 |
| 11 | VERNON Ethan | 74 |
| 12 | COLNAGHI Luca | 63 |
| 14 | BERCKMOES Jenno | 61 |
| 15 | NARVÁEZ Jhonatan | 65 |
| 17 | WALLIN Rasmus Bøgh | 78 |
| 18 | SHEFFIELD Magnus | 73 |