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 = -0.3 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Rubiera
1
69 kgMauri
2
68 kgPlaza
3
68 kgMartinez
4
67 kgAzevedo
5
59 kgGonzález
8
69 kgChaurreau
9
60 kg
1
69 kgMauri
2
68 kgPlaza
3
68 kgMartinez
4
67 kgAzevedo
5
59 kgGonzález
8
69 kgChaurreau
9
60 kg
Weight (KG) →
Result →
69
59
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RUBIERA José Luis | 69 |
| 2 | MAURI Melchor | 68 |
| 3 | PLAZA David | 68 |
| 4 | MARTINEZ José Alberto | 67 |
| 5 | AZEVEDO José Bento | 59 |
| 8 | GONZÁLEZ Aitor | 69 |
| 9 | CHAURREAU Íñigo | 60 |