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 = -14.9 * weight + 1027
This means that on average for every extra kilogram weight a rider loses -14.9 positions in the result.
Tivani
3
67 kgJurado
11
68 kgAndriato
17
67 kgVargas
26
69 kgSalas
73
64 kgNazaret
87
65 kg
3
67 kgJurado
11
68 kgAndriato
17
67 kgVargas
26
69 kgSalas
73
64 kgNazaret
87
65 kg
Weight (KG) →
Result →
69
64
3
87
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | TIVANI German Nicolás | 67 |
| 11 | JURADO Christofer Robín | 68 |
| 17 | ANDRIATO Rafael | 67 |
| 26 | VARGAS Walter | 69 |
| 73 | SALAS Juan | 64 |
| 87 | NAZARET Magno | 65 |