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 = 0.6 * weight - 35
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Florez
1
63 kgSevilla
2
62 kgHenao
3
61 kgParedes
4
66 kgIribe
7
61 kgContreras
11
68 kgde Paula
14
63 kg
1
63 kgSevilla
2
62 kgHenao
3
61 kgParedes
4
66 kgIribe
7
61 kgContreras
11
68 kgde Paula
14
63 kg
Weight (KG) →
Result →
68
61
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FLOREZ Samuel | 63 |
| 2 | SEVILLA Óscar | 62 |
| 3 | HENAO Sergio | 61 |
| 4 | PAREDES Wilmar | 66 |
| 7 | IRIBE Shotaro | 61 |
| 11 | CONTRERAS Rodrigo | 68 |
| 14 | DE PAULA Victor Cesar | 63 |