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 = -0.9 * weight + 69
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCOTT Jared | 66 |
| 3 | MIJNSBERGEN Thomas | 68 |
| 4 | COSTIOU Ewen | 64 |
| 5 | CHROMY Kyle | 63 |
| 10 | STEVANT Malo | 65 |
| 13 | BOLGIANI Gabriel | 61 |
| 14 | VERSCHUREN Killian | 54 |
| 22 | WOOD George | 64 |
| 24 | DE BRUIN Tjalle | 64 |
| 27 | MAHOUDO Nolann | 61 |