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 + 17
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Wellens
3
71 kgRutkiewicz
4
66 kgStalnov
5
63 kgBerthou
9
72 kgBarguil
10
61 kg
3
71 kgRutkiewicz
4
66 kgStalnov
5
63 kgBerthou
9
72 kgBarguil
10
61 kg
Weight (KG) →
Result →
72
61
3
10
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | WELLENS Tim | 71 |
| 4 | RUTKIEWICZ Marek | 66 |
| 5 | STALNOV Nikita | 63 |
| 9 | BERTHOU Eric | 72 |
| 10 | BARGUIL Warren | 61 |