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 * weight + 72
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
Gutiérrez
1
60 kgHagiwara
3
52 kgCordon-Ragot
5
60 kgSicot
7
58 kgBiannic
11
64 kgAllin
32
58 kgDuval
36
53 kg
1
60 kgHagiwara
3
52 kgCordon-Ragot
5
60 kgSicot
7
58 kgBiannic
11
64 kgAllin
32
58 kgDuval
36
53 kg
Weight (KG) →
Result →
64
52
1
36
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUTIÉRREZ Sheyla | 60 |
| 3 | HAGIWARA Mayuko | 52 |
| 5 | CORDON-RAGOT Audrey | 60 |
| 7 | SICOT Marion | 58 |
| 11 | BIANNIC Aude | 64 |
| 32 | ALLIN Pauline | 58 |
| 36 | DUVAL Eugénie | 53 |