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 = -0.3 * weight + 37
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Tivani
3
67 kgJurado
6
68 kgNazaret
8
65 kgVargas
20
69 kgSalas
24
64 kgAndriato
51
67 kg
3
67 kgJurado
6
68 kgNazaret
8
65 kgVargas
20
69 kgSalas
24
64 kgAndriato
51
67 kg
Weight (KG) →
Result →
69
64
3
51
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | TIVANI German Nicolás | 67 |
| 6 | JURADO Christofer Robín | 68 |
| 8 | NAZARET Magno | 65 |
| 20 | VARGAS Walter | 69 |
| 24 | SALAS Juan | 64 |
| 51 | ANDRIATO Rafael | 67 |