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 = 0.6 * weight - 32
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Vlaemynck
4
63 kgDe Caluwé
5
75 kgMeulenberg
8
73 kgLowie
16
68 kgPirmez
23
76 kg
4
63 kgDe Caluwé
5
75 kgMeulenberg
8
73 kgLowie
16
68 kgPirmez
23
76 kg
Weight (KG) →
Result →
76
63
4
23
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | VLAEMYNCK Lucien | 63 |
| 5 | DE CALUWÉ Edgard | 75 |
| 8 | MEULENBERG Eloi | 73 |
| 16 | LOWIE Jules | 68 |
| 23 | PIRMEZ Théo | 76 |