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 + 31
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BENFATTO Marco | 71 |
| 4 | VALLÉE Boris | 79 |
| 5 | BENOOT Tiesj | 72 |
| 6 | VAN LERBERGHE Bert | 83 |
| 7 | PUTT Tanner | 75 |
| 8 | THEUNS Edward | 72 |
| 9 | FARAZIJN Maxime | 73.5 |
| 12 | KRAGH ANDERSEN Asbjørn | 72 |
| 13 | VAN DER LIJKE Nick | 61 |