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 = 1.8 * weight - 91
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
Patras
18
69 kgCubillas
21
62 kgLefevre
25
75 kgVerdonck
38
63 kgCottignies
40
79 kgPlancke
79
85 kg
18
69 kgCubillas
21
62 kgLefevre
25
75 kgVerdonck
38
63 kgCottignies
40
79 kgPlancke
79
85 kg
Weight (KG) →
Result →
85
62
18
79
| # | Rider | Weight (KG) |
|---|---|---|
| 18 | PATRAS Jakub | 69 |
| 21 | CUBILLAS Javier | 62 |
| 25 | LEFEVRE Fabrice | 75 |
| 38 | VERDONCK Thomas | 63 |
| 40 | COTTIGNIES Kyano | 79 |
| 79 | PLANCKE Nicolas | 85 |