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 - 126
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
Cottignies
16
79 kgCubillas
26
62 kgVerdonck
33
63 kgLefevre
87
75 kgPatras
91
69 kgPlancke
124
85 kg
16
79 kgCubillas
26
62 kgVerdonck
33
63 kgLefevre
87
75 kgPatras
91
69 kgPlancke
124
85 kg
Weight (KG) →
Result →
85
62
16
124
| # | Rider | Weight (KG) |
|---|---|---|
| 16 | COTTIGNIES Kyano | 79 |
| 26 | CUBILLAS Javier | 62 |
| 33 | VERDONCK Thomas | 63 |
| 87 | LEFEVRE Fabrice | 75 |
| 91 | PATRAS Jakub | 69 |
| 124 | PLANCKE Nicolas | 85 |