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) |
|---|---|---|
| 3 | LE BERRE Mathis | 68 |
| 4 | SEMPERENA OYARZABAL Telmo | 70 |
| 5 | DE BRUIN Tjalle | 64 |
| 6 | LAURANCE Axel | 66 |
| 7 | THOMPSON Reuben | 66 |
| 12 | COSTIOU Ewen | 64 |
| 17 | MAHOUDO Nolann | 61 |
| 18 | KRIJNSEN Jelte | 73 |
| 20 | MACLEAN Logan | 65 |