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 = -1.4 * weight + 102
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Jackson
1
63 kgLorenzen
6
71 kgWankiewicz
14
58 kgBolks
16
60 kgBerton
27
59 kgStern
28
55 kg
1
63 kgLorenzen
6
71 kgWankiewicz
14
58 kgBolks
16
60 kgBerton
27
59 kgStern
28
55 kg
Weight (KG) →
Result →
71
55
1
28
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JACKSON Alison | 63 |
| 6 | LORENZEN Christina Bragh | 71 |
| 14 | WANKIEWICZ Olga | 58 |
| 16 | BOLKS Florien | 60 |
| 27 | BERTON Nina | 59 |
| 28 | STERN Léa | 55 |