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 = 0.9 * weight - 53
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Florez
1
63 kgHenao
2
61 kgParedes
3
66 kgSevilla
10
62 kgContreras
13
68 kg
1
63 kgHenao
2
61 kgParedes
3
66 kgSevilla
10
62 kgContreras
13
68 kg
Weight (KG) →
Result →
68
61
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FLOREZ Samuel | 63 |
| 2 | HENAO Sergio | 61 |
| 3 | PAREDES Wilmar | 66 |
| 10 | SEVILLA Óscar | 62 |
| 13 | CONTRERAS Rodrigo | 68 |