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 = 0.2 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Van Looy
2
73 kgImpanis
7
69 kgVan Daele
21
78 kgVan Steenbergen
27
83 kgForé
36
73 kgJanssens
36
68 kg
2
73 kgImpanis
7
69 kgVan Daele
21
78 kgVan Steenbergen
27
83 kgForé
36
73 kgJanssens
36
68 kg
Weight (KG) →
Result →
83
68
2
36
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VAN LOOY Rik | 73 |
| 7 | IMPANIS Raymond | 69 |
| 21 | VAN DAELE Leon | 78 |
| 27 | VAN STEENBERGEN Rik | 83 |
| 36 | FORÉ Noël | 73 |
| 36 | JANSSENS Marcel | 68 |