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 + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Roelandts
6
78 kgTrusov
7
77 kgDuclos-Lassalle
8
63 kgde Wilde
9
74 kgRenders
11
63 kgSteurs
12
77 kg
6
78 kgTrusov
7
77 kgDuclos-Lassalle
8
63 kgde Wilde
9
74 kgRenders
11
63 kgSteurs
12
77 kg
Weight (KG) →
Result →
78
63
6
12
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | ROELANDTS Jürgen | 78 |
| 7 | TRUSOV Nikolay | 77 |
| 8 | DUCLOS-LASSALLE Hervé | 63 |
| 9 | DE WILDE Sjef | 74 |
| 11 | RENDERS Sven | 63 |
| 12 | STEURS Geert | 77 |