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 + 23
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MUSEEUW Johan | 71 |
| 3 | DE CLERCQ Mario | 66 |
| 4 | KOERTS Jans | 78 |
| 5 | HOFFMAN Tristan | 80 |
| 8 | VEENSTRA Wiebren | 70 |
| 13 | FARAZIJN Peter | 69 |
| 18 | EKIMOV Viatcheslav | 69 |
| 19 | MONCASSIN Frédéric | 73 |
| 22 | HUNDERTMARCK Kai | 72 |
| 23 | PLANCKAERT Jo | 70 |
| 24 | LEYSEN Bart | 75 |
| 25 | PEERS Chris | 73 |