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 + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | EWAN Caleb | 69 |
2 | DÉMARE Arnaud | 76 |
3 | BENNETT Sam | 73 |
4 | BOUHANNI Nacer | 65 |
5 | DE KLEIJN Arvid | 68 |
6 | MCLAY Daniel | 72 |
7 | MERLIER Tim | 76 |
8 | SÉNÉCHAL Florian | 77 |
9 | EINHORN Itamar | 72 |
10 | NIZZOLO Giacomo | 72 |
11 | PEÑALVER Manuel | 67 |
12 | VAN GESTEL Dries | 74 |
13 | TAMINIAUX Lionel | 74 |
14 | DILLIER Silvan | 75 |
15 | VENTURINI Clément | 60 |
16 | PLANCKAERT Edward | 71 |