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 - 112
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
Daems
5
64 kgImpanis
14
69 kgCerami
15
72 kgLelangue
24
72 kgVanden Berghen
27
76 kg
5
64 kgImpanis
14
69 kgCerami
15
72 kgLelangue
24
72 kgVanden Berghen
27
76 kg
Weight (KG) →
Result →
76
64
5
27
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | DAEMS Emile | 64 |
| 14 | IMPANIS Raymond | 69 |
| 15 | CERAMI Pino | 72 |
| 24 | LELANGUE Robert | 72 |
| 27 | VANDEN BERGHEN Willy | 76 |