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 = -0.2 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Panizo
18
72 kgSepulveda
19
66 kgNazaret
20
65 kgArseno
22
71 kgMansilla
36
68 kg
18
72 kgSepulveda
19
66 kgNazaret
20
65 kgArseno
22
71 kgMansilla
36
68 kg
Weight (KG) →
Result →
72
65
18
36
| # | Rider | Weight (KG) |
|---|---|---|
| 18 | PANIZO Gregolry | 72 |
| 19 | SEPULVEDA Luis Fernando | 66 |
| 20 | NAZARET Magno | 65 |
| 22 | ARSENO Alex | 71 |
| 36 | MANSILLA Luis Miguel | 68 |