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 + 36
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Zoetemelk
1
68 kgDe Vlaeminck
3
74 kgMerckx
6
74 kgMoser
7
79 kgGimondi
8
78 kgSutter
15
70 kgVan Impe
16
59 kg
1
68 kgDe Vlaeminck
3
74 kgMerckx
6
74 kgMoser
7
79 kgGimondi
8
78 kgSutter
15
70 kgVan Impe
16
59 kg
Weight (KG) →
Result →
79
59
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZOETEMELK Joop | 68 |
| 3 | DE VLAEMINCK Roger | 74 |
| 6 | MERCKX Eddy | 74 |
| 7 | MOSER Francesco | 79 |
| 8 | GIMONDI Felice | 78 |
| 15 | SUTTER Ueli | 70 |
| 16 | VAN IMPE Lucien | 59 |