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 = -6.3 * weight + 467
This means that on average for every extra kilogram weight a rider loses -6.3 positions in the result.
Tivani
2
67 kgAndriato
3
67 kgJurado
41
68 kgVargas
75
69 kgNazaret
101
65 kg
2
67 kgAndriato
3
67 kgJurado
41
68 kgVargas
75
69 kgNazaret
101
65 kg
Weight (KG) →
Result →
69
65
2
101
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | TIVANI German Nicolás | 67 |
| 3 | ANDRIATO Rafael | 67 |
| 41 | JURADO Christofer Robín | 68 |
| 75 | VARGAS Walter | 69 |
| 101 | NAZARET Magno | 65 |