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 = 1.4 * weight - 54
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Foré
28
73 kgBeheyt
33
71 kgImpanis
45
69 kgCerami
52
72 kgLelangue
54
72 kgVan Daele
56
78 kg
28
73 kgBeheyt
33
71 kgImpanis
45
69 kgCerami
52
72 kgLelangue
54
72 kgVan Daele
56
78 kg
Weight (KG) →
Result →
78
69
28
56
| # | Rider | Weight (KG) |
|---|---|---|
| 28 | FORÉ Noël | 73 |
| 33 | BEHEYT Benoni | 71 |
| 45 | IMPANIS Raymond | 69 |
| 52 | CERAMI Pino | 72 |
| 54 | LELANGUE Robert | 72 |
| 56 | VAN DAELE Leon | 78 |