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 = -0.1 * weight + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Markov
1
80 kgGarrido
3
70 kgBarbosa
4
72 kgEngoulvent
7
82 kgSabido
9
70 kg
1
80 kgGarrido
3
70 kgBarbosa
4
72 kgEngoulvent
7
82 kgSabido
9
70 kg
Weight (KG) →
Result →
82
70
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARKOV Alexei | 80 |
| 3 | GARRIDO Martin Gerardo | 70 |
| 4 | BARBOSA Cândido | 72 |
| 7 | ENGOULVENT Jimmy | 82 |
| 9 | SABIDO Hugo | 70 |