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 = -0.5 * weight + 53
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
2 | JANISZEWSKI Sylwester | 65 |
4 | SCHEUNEMAN Niels | 75 |
5 | VANDBORG Brian Bach | 75 |
6 | IGLINSKIY Valentin | 68 |
8 | WESTRA Lieuwe | 74 |
9 | VANDOUSSELAERE Sven | 71 |
10 | REIMER Martin | 69 |
11 | JOSEPH Gregory | 67 |
13 | MATYSIAK Bartłomiej | 71 |
17 | PEDERSEN Martin | 62 |
25 | NIEVE Mikel | 62 |
32 | TLEUBAYEV Ruslan | 70 |
33 | MARYCZ Jarosław | 69 |
41 | GIRAUD Benjamin | 71 |