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 = -1.3 * weight + 102
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
Solomon
5
66 kgAreruya
6
74 kgMulubrhan
10
60 kgMugisha
16
62 kgvan Niekerk
19
59 kgMayer
26
64 kgBonthuys
43
60 kg
5
66 kgAreruya
6
74 kgMulubrhan
10
60 kgMugisha
16
62 kgvan Niekerk
19
59 kgMayer
26
64 kgBonthuys
43
60 kg
Weight (KG) →
Result →
74
59
5
43
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | SOLOMON Zemenfes | 66 |
| 6 | ARERUYA Joseph | 74 |
| 10 | MULUBRHAN Henok | 60 |
| 16 | MUGISHA Samuel | 62 |
| 19 | VAN NIEKERK Aidan | 59 |
| 26 | MAYER Alexandre | 64 |
| 43 | BONTHUYS Carl | 60 |