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 = -29 * weight + 2285
This means that on average for every extra kilogram weight a rider loses -29 positions in the result.
Merckx
2
74 kgVan Looy
3
75 kgViejo
5
64 kgGimondi
8
78 kgZoetemelk
990
68 kg
2
74 kgVan Looy
3
75 kgViejo
5
64 kgGimondi
8
78 kgZoetemelk
990
68 kg
Weight (KG) →
Result →
78
64
2
990
# | Rider | Weight (KG) |
---|---|---|
2 | MERCKX Eddy | 74 |
3 | VAN LOOY Frans | 75 |
5 | VIEJO José Luis | 64 |
8 | GIMONDI Felice | 78 |
990 | ZOETEMELK Joop | 68 |