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 = -0.6 * weight + 54
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KIRSIPUU Jaan | 80 |
| 2 | SEIGNEUR Eddy | 71 |
| 11 | VASSEUR Cédric | 70 |
| 12 | MAGNIEN Emmanuel | 68 |
| 13 | VAN BON Léon | 72 |
| 14 | TCHMIL Andrei | 75 |
| 16 | BOUVARD Gilles | 70 |
| 19 | YATES Sean | 74 |