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 = -0.2 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Dierckxsens
1
71 kgBäckstedt
2
94 kgFédrigo
5
66 kgPortal
6
70 kgSeigneur
7
71 kgBénéteau
8
67 kgRenier
9
69 kg
1
71 kgBäckstedt
2
94 kgFédrigo
5
66 kgPortal
6
70 kgSeigneur
7
71 kgBénéteau
8
67 kgRenier
9
69 kg
Weight (KG) →
Result →
94
66
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DIERCKXSENS Ludo | 71 |
| 2 | BÄCKSTEDT Magnus | 94 |
| 5 | FÉDRIGO Pierrick | 66 |
| 6 | PORTAL Nicolas | 70 |
| 7 | SEIGNEUR Eddy | 71 |
| 8 | BÉNÉTEAU Walter | 67 |
| 9 | RENIER Franck | 69 |