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 = -0.7 * weight + 55
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Schär
1
78 kgBelkov
3
71 kgvan Amerongen
4
70 kgGatto
8
67 kgde Baat
10
66 kg
1
78 kgBelkov
3
71 kgvan Amerongen
4
70 kgGatto
8
67 kgde Baat
10
66 kg
Weight (KG) →
Result →
78
66
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHÄR Michael | 78 |
| 3 | BELKOV Maxim | 71 |
| 4 | VAN AMERONGEN Thijs | 70 |
| 8 | GATTO Oscar | 67 |
| 10 | DE BAAT Arjen | 66 |