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 = -37.2 * weight + 3434
This means that on average for every extra kilogram weight a rider loses -37.2 positions in the result.
Gimondi
10
78 kgParenteau
990
68 kgTschan
990
68 kgPettersson
990
75 kgVan Impe
990
59 kgBalmamion
990
67 kgDolman
990
71 kg
10
78 kgParenteau
990
68 kgTschan
990
68 kgPettersson
990
75 kgVan Impe
990
59 kgBalmamion
990
67 kgDolman
990
71 kg
Weight (KG) →
Result →
78
59
10
990
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | GIMONDI Felice | 78 |
| 990 | PARENTEAU Jean-Pierre | 68 |
| 990 | TSCHAN Jürgen | 68 |
| 990 | PETTERSSON Gösta | 75 |
| 990 | VAN IMPE Lucien | 59 |
| 990 | BALMAMION Franco | 67 |
| 990 | DOLMAN Evert | 71 |