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 = -5.5 * weight + 413
This means that on average for every extra kilogram weight a rider loses -5.5 positions in the result.
Tivani
1
67 kgJurado
7
68 kgVargas
60
69 kgNazaret
67
65 kgAndriato
73
67 kg
1
67 kgJurado
7
68 kgVargas
60
69 kgNazaret
67
65 kgAndriato
73
67 kg
Weight (KG) →
Result →
69
65
1
73
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TIVANI German Nicolás | 67 |
| 7 | JURADO Christofer Robín | 68 |
| 60 | VARGAS Walter | 69 |
| 67 | NAZARET Magno | 65 |
| 73 | ANDRIATO Rafael | 67 |