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 = 2.6 * weight - 132
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
Cottignies
14
79 kgVerdonck
21
63 kgCubillas
42
62 kgLefevre
64
75 kgPatras
71
69 kgPlancke
129
85 kg
14
79 kgVerdonck
21
63 kgCubillas
42
62 kgLefevre
64
75 kgPatras
71
69 kgPlancke
129
85 kg
Weight (KG) →
Result →
85
62
14
129
| # | Rider | Weight (KG) |
|---|---|---|
| 14 | COTTIGNIES Kyano | 79 |
| 21 | VERDONCK Thomas | 63 |
| 42 | CUBILLAS Javier | 62 |
| 64 | LEFEVRE Fabrice | 75 |
| 71 | PATRAS Jakub | 69 |
| 129 | PLANCKE Nicolas | 85 |