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 - 31
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Räim
1
69 kgKump
2
68 kgButs
3
68 kgVan Rooy
4
70 kgTaminiaux
5
74 kgFortin
7
78 kg
1
69 kgKump
2
68 kgButs
3
68 kgVan Rooy
4
70 kgTaminiaux
5
74 kgFortin
7
78 kg
Weight (KG) →
Result →
78
68
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RÄIM Mihkel | 69 |
| 2 | KUMP Marko | 68 |
| 3 | BUTS Vitaliy | 68 |
| 4 | VAN ROOY Kenneth | 70 |
| 5 | TAMINIAUX Lionel | 74 |
| 7 | FORTIN Filippo | 78 |