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 = 0.4 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
De Wilde
1
70 kgVan Lancker
10
67 kgDe Clercq
16
80 kgDemol
17
72 kgThijs
19
69 kg
1
70 kgVan Lancker
10
67 kgDe Clercq
16
80 kgDemol
17
72 kgThijs
19
69 kg
Weight (KG) →
Result →
80
67
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE WILDE Etienne | 70 |
| 10 | VAN LANCKER Kurt | 67 |
| 16 | DE CLERCQ Hans | 80 |
| 17 | DEMOL Dirk | 72 |
| 19 | THIJS Erwin | 69 |