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 = -0.6 * weight + 56
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Mouris
2
91 kgElijzen
3
80 kgde Kort
4
69 kgDekkers
7
72 kgClement
16
66 kgGiling
17
72 kgRooijakkers
23
68 kg
2
91 kgElijzen
3
80 kgde Kort
4
69 kgDekkers
7
72 kgClement
16
66 kgGiling
17
72 kgRooijakkers
23
68 kg
Weight (KG) →
Result →
91
66
2
23
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MOURIS Jens | 91 |
| 3 | ELIJZEN Michiel | 80 |
| 4 | DE KORT Koen | 69 |
| 7 | DEKKERS Hans | 72 |
| 16 | CLEMENT Stef | 66 |
| 17 | GILING Bas | 72 |
| 23 | ROOIJAKKERS Piet | 68 |