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 - 12
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Pintar
11
56 kgde Boer
13
62 kgLee
14
53 kgFrancis
19
56 kgLorenzen
24
71 kgBolks
44
60 kg
11
56 kgde Boer
13
62 kgLee
14
53 kgFrancis
19
56 kgLorenzen
24
71 kgBolks
44
60 kg
Weight (KG) →
Result →
71
53
11
44
| # | Rider | Weight (KG) |
|---|---|---|
| 11 | PINTAR Urška | 56 |
| 13 | DE BOER Manon | 62 |
| 14 | LEE Lucy | 53 |
| 19 | FRANCIS Jenaya | 56 |
| 24 | LORENZEN Christina Bragh | 71 |
| 44 | BOLKS Florien | 60 |