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 = -0.6 * weight + 83
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | VANDEVORST Nio | 74 |
2 | FIETZKE Paul | 60 |
3 | DAHL Marius Innhaug | 68 |
5 | BOUSSEMAERE Louic | 56 |
8 | RINALDI Andrea | 74 |
19 | CONSOLIDANI Leonardo | 59 |
26 | MARKOVIC Gavrilo | 75 |
30 | GRUPP Louis | 67 |
40 | HOBOLTH Marius | 71 |
62 | REITZ Braden | 57 |
73 | MELLANO Ludovico Maria | 65 |
74 | CHALEIL Louis | 68 |
95 | VIEZZI Stefano | 73 |
96 | REMELLI Cristian | 61 |
99 | ANASTASIA Tommaso | 61 |
101 | DENTELLI Giacomo | 67 |