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 - 27
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Kuiper
2
69 kgVan Impe
9
59 kgGilson
14
70 kgHermans
25
71 kgVasseur
26
67 kg
2
69 kgVan Impe
9
59 kgGilson
14
70 kgHermans
25
71 kgVasseur
26
67 kg
Weight (KG) →
Result →
71
59
2
26
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KUIPER Hennie | 69 |
| 9 | VAN IMPE Lucien | 59 |
| 14 | GILSON Roger | 70 |
| 25 | HERMANS Gustaaf | 71 |
| 26 | VASSEUR Alain | 67 |