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 = -1 * weight + 88
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
Sepulveda
1
66 kgNazaret
3
65 kgArseno
5
71 kgPanizo
25
72 kgMansilla
33
68 kgRamos
57
65 kg
1
66 kgNazaret
3
65 kgArseno
5
71 kgPanizo
25
72 kgMansilla
33
68 kgRamos
57
65 kg
Weight (KG) →
Result →
72
65
1
57
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEPULVEDA Luis Fernando | 66 |
| 3 | NAZARET Magno | 65 |
| 5 | ARSENO Alex | 71 |
| 25 | PANIZO Gregolry | 72 |
| 33 | MANSILLA Luis Miguel | 68 |
| 57 | RAMOS Kléber | 65 |