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 - 17
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Fontaine
8
70 kgBush
9
58 kgGeerinck
11
67 kgL'Hote
20
67 kgChaleil
27
68 kgScheldeman
28
66 kg
8
70 kgBush
9
58 kgGeerinck
11
67 kgL'Hote
20
67 kgChaleil
27
68 kgScheldeman
28
66 kg
Weight (KG) →
Result →
70
58
8
28
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | FONTAINE Titouan | 70 |
| 9 | BUSH Jacob | 58 |
| 11 | GEERINCK Seppe | 67 |
| 20 | L'HOTE Antoine | 67 |
| 27 | CHALEIL Louis | 68 |
| 28 | SCHELDEMAN Xander | 66 |