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 = 1.1 * weight - 68
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Saronni
5
65 kgLasa
6
68 kgViejo
11
64 kgDierickx
12
74 kgVan Looy
14
75 kgMartinez
29
80 kg
5
65 kgLasa
6
68 kgViejo
11
64 kgDierickx
12
74 kgVan Looy
14
75 kgMartinez
29
80 kg
Weight (KG) →
Result →
80
64
5
29
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | SARONNI Giuseppe | 65 |
| 6 | LASA Miguel María | 68 |
| 11 | VIEJO José Luis | 64 |
| 12 | DIERICKX André | 74 |
| 14 | VAN LOOY Frans | 75 |
| 29 | MARTINEZ Paulino | 80 |