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 = -0.3 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Maes
3
68 kgVerschueren
4
91 kgVervaecke
6
68 kgMaes
18
70 kgVan Bruaene
19
70 kgWauters
23
72 kg
3
68 kgVerschueren
4
91 kgVervaecke
6
68 kgMaes
18
70 kgVan Bruaene
19
70 kgWauters
23
72 kg
Weight (KG) →
Result →
91
68
3
23
# | Rider | Weight (KG) |
---|---|---|
3 | MAES Romain | 68 |
4 | VERSCHUEREN Denis | 91 |
6 | VERVAECKE Félicien | 68 |
18 | MAES Sylvère | 70 |
19 | VAN BRUAENE Armand | 70 |
23 | WAUTERS Jean | 72 |