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 = 0.5 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Van Impe
2
59 kgPettersson
6
75 kgGimondi
16
78 kgParenteau
17
68 kgTschan
27
68 kgDolman
42
71 kg
2
59 kgPettersson
6
75 kgGimondi
16
78 kgParenteau
17
68 kgTschan
27
68 kgDolman
42
71 kg
Weight (KG) →
Result →
78
59
2
42
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VAN IMPE Lucien | 59 |
| 6 | PETTERSSON Gösta | 75 |
| 16 | GIMONDI Felice | 78 |
| 17 | PARENTEAU Jean-Pierre | 68 |
| 27 | TSCHAN Jürgen | 68 |
| 42 | DOLMAN Evert | 71 |