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 = -2.7 * weight + 202
This means that on average for every extra kilogram weight a rider loses -2.7 positions in the result.
Panizo
2
72 kgNazaret
10
65 kgArseno
12
71 kgSepulveda
36
66 kgMansilla
42
68 kg
2
72 kgNazaret
10
65 kgArseno
12
71 kgSepulveda
36
66 kgMansilla
42
68 kg
Weight (KG) →
Result →
72
65
2
42
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PANIZO Gregolry | 72 |
| 10 | NAZARET Magno | 65 |
| 12 | ARSENO Alex | 71 |
| 36 | SEPULVEDA Luis Fernando | 66 |
| 42 | MANSILLA Luis Miguel | 68 |