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 = 0.8 * weight - 41
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Bronzini
1
54 kgVos
2
58 kgCantele
3
58 kgTreier
4
62 kgBaccaille
5
61 kgHenrion
7
60 kgDe Vocht
10
61 kg
1
54 kgVos
2
58 kgCantele
3
58 kgTreier
4
62 kgBaccaille
5
61 kgHenrion
7
60 kgDe Vocht
10
61 kg
Weight (KG) →
Result →
62
54
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRONZINI Giorgia | 54 |
| 2 | VOS Marianne | 58 |
| 3 | CANTELE Noemi | 58 |
| 4 | TREIER Grete | 62 |
| 5 | BACCAILLE Monia | 61 |
| 7 | HENRION Ludivine | 60 |
| 10 | DE VOCHT Liesbet | 61 |