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 = -0.3 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Zoetemelk
2
68 kgMerckx
3
74 kgGimondi
5
78 kgDe Vlaeminck
9
74 kgMoser
10
79 kgSutter
13
70 kgVan Impe
15
59 kg
2
68 kgMerckx
3
74 kgGimondi
5
78 kgDe Vlaeminck
9
74 kgMoser
10
79 kgSutter
13
70 kgVan Impe
15
59 kg
Weight (KG) →
Result →
79
59
2
15
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ZOETEMELK Joop | 68 |
| 3 | MERCKX Eddy | 74 |
| 5 | GIMONDI Felice | 78 |
| 9 | DE VLAEMINCK Roger | 74 |
| 10 | MOSER Francesco | 79 |
| 13 | SUTTER Ueli | 70 |
| 15 | VAN IMPE Lucien | 59 |