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 = -0.1 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
De Wilde
1
70 kgJourdan
3
64 kgKuiper
5
69 kgDuclos-Lassalle
11
73 kgKelly
16
77 kgNilsson
26
63 kg
1
70 kgJourdan
3
64 kgKuiper
5
69 kgDuclos-Lassalle
11
73 kgKelly
16
77 kgNilsson
26
63 kg
Weight (KG) →
Result →
77
63
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE WILDE Etienne | 70 |
| 3 | JOURDAN Christian | 64 |
| 5 | KUIPER Hennie | 69 |
| 11 | DUCLOS-LASSALLE Gilbert | 73 |
| 16 | KELLY Sean | 77 |
| 26 | NILSSON Sven-Åke | 63 |