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 = 1.2 * weight - 25
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
D'hondt
33
63 kgStrypens
49
73 kgPapadopoulos
55
69 kgHerring
57
63 kgPatras
76
69 kg
33
63 kgStrypens
49
73 kgPapadopoulos
55
69 kgHerring
57
63 kgPatras
76
69 kg
Weight (KG) →
Result →
73
63
33
76
| # | Rider | Weight (KG) |
|---|---|---|
| 33 | D'HONDT Arne | 63 |
| 49 | STRYPENS Roeland | 73 |
| 55 | PAPADOPOULOS Antonios | 69 |
| 57 | HERRING Louis | 63 |
| 76 | PATRAS Jakub | 69 |