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 * weight + 11
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | RUIZ Ibon | 65 |
2 | DEL TORO Isaac | 64 |
3 | OURSELIN Paul | 70 |
4 | DÍAZ José Manuel | 64 |
5 | MAJKA Rafał | 62 |
6 | MUÑOZ Francisco | 71 |
7 | JEGAT Jordan | 59 |
8 | FAGÚNDEZ Eric Antonio | 67 |
9 | GONZALEZ Asier Pablo | 57 |
10 | GUTIÉRREZ Jorge | 58 |
12 | FERNÁNDEZ Samuel | 57 |
14 | SAMITIER Sergio | 63 |
18 | EULÁLIO Afonso | 62 |
19 | FISHER-BLACK Finn | 69 |
20 | DE CASSAN Davide | 61 |
21 | PÉREZ-LANDALUCE Eduardo | 70 |