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 = -0.1 * weight + 9
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Dierickx
1
74 kgVan Looy
2
75 kgViejo
3
64 kgLasa
4
68 kgMartinez
4
80 kgSaronni
5
65 kg
1
74 kgVan Looy
2
75 kgViejo
3
64 kgLasa
4
68 kgMartinez
4
80 kgSaronni
5
65 kg
Weight (KG) →
Result →
80
64
1
5
# | Rider | Weight (KG) |
---|---|---|
1 | DIERICKX André | 74 |
2 | VAN LOOY Frans | 75 |
3 | VIEJO José Luis | 64 |
4 | LASA Miguel María | 68 |
4 | MARTINEZ Paulino | 80 |
5 | SARONNI Giuseppe | 65 |