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 = 3.6 * weight - 231
This means that on average for every extra kilogram weight a rider loses 3.6 positions in the result.
Ghebreigzabhier
2
68 kgDebesay
5
64 kgMansouri
13
66 kgNouisri
35
74 kgJaser
46
75 kg
2
68 kgDebesay
5
64 kgMansouri
13
66 kgNouisri
35
74 kgJaser
46
75 kg
Weight (KG) →
Result →
75
64
2
46
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GHEBREIGZABHIER Amanuel | 68 |
| 5 | DEBESAY Mekseb | 64 |
| 13 | MANSOURI Abderrahmane | 66 |
| 35 | NOUISRI Ali | 74 |
| 46 | JASER Nazir | 75 |