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 = 21.3 * weight - 772
This means that on average for every extra kilogram weight a rider loses 21.3 positions in the result.
Van Impe
2
59 kgPettersson
4
75 kgParenteau
990
68 kgTschan
990
68 kgGimondi
990
78 kgBalmamion
990
67 kgDolman
990
71 kg
2
59 kgPettersson
4
75 kgParenteau
990
68 kgTschan
990
68 kgGimondi
990
78 kgBalmamion
990
67 kgDolman
990
71 kg
Weight (KG) →
Result →
78
59
2
990
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VAN IMPE Lucien | 59 |
| 4 | PETTERSSON Gösta | 75 |
| 990 | PARENTEAU Jean-Pierre | 68 |
| 990 | TSCHAN Jürgen | 68 |
| 990 | GIMONDI Felice | 78 |
| 990 | BALMAMION Franco | 67 |
| 990 | DOLMAN Evert | 71 |