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 = -10 * weight + 694
This means that on average for every extra kilogram weight a rider loses -10 positions in the result.
Tivani
1
67 kgJurado
7
68 kgVargas
25
69 kgAndriato
30
67 kgNazaret
60
65 kg
1
67 kgJurado
7
68 kgVargas
25
69 kgAndriato
30
67 kgNazaret
60
65 kg
Weight (KG) →
Result →
69
65
1
60
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TIVANI German Nicolás | 67 |
| 7 | JURADO Christofer Robín | 68 |
| 25 | VARGAS Walter | 69 |
| 30 | ANDRIATO Rafael | 67 |
| 60 | NAZARET Magno | 65 |