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 = -1.7 * weight + 115
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
Pacioni
1
67 kgUbeto
4
60 kgVenchiarutti
8
64 kgQuintero
9
67 kgRodríguez
11
58 kgCepeda
22
56 kgPeñuela
32
56 kg
1
67 kgUbeto
4
60 kgVenchiarutti
8
64 kgQuintero
9
67 kgRodríguez
11
58 kgCepeda
22
56 kgPeñuela
32
56 kg
Weight (KG) →
Result →
67
56
1
32
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PACIONI Luca | 67 |
| 4 | UBETO Miguel Armando | 60 |
| 8 | VENCHIARUTTI Nicola | 64 |
| 9 | QUINTERO Leonel | 67 |
| 11 | RODRÍGUEZ Jackson | 58 |
| 22 | CEPEDA Jefferson Alexander | 56 |
| 32 | PEÑUELA Francisco Joel | 56 |