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 = 0.6 * weight - 28
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Longo Borghini
1
59 kgStultiens
3
58 kgDuehring
5
54 kgConfalonieri
9
56 kgEdmondson
13
66 kg
1
59 kgStultiens
3
58 kgDuehring
5
54 kgConfalonieri
9
56 kgEdmondson
13
66 kg
Weight (KG) →
Result →
66
54
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LONGO BORGHINI Elisa | 59 |
| 3 | STULTIENS Sabrina | 58 |
| 5 | DUEHRING Jasmin | 54 |
| 9 | CONFALONIERI Maria Giulia | 56 |
| 13 | EDMONDSON Annette | 66 |