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 = -0.8 * weight + 64
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
De Wilde
1
70 kgKelly
2
77 kgFignon
10
67 kgPlanckaert
12
69 kgDuclos-Lassalle
14
73 kgKuiper
17
69 kg
1
70 kgKelly
2
77 kgFignon
10
67 kgPlanckaert
12
69 kgDuclos-Lassalle
14
73 kgKuiper
17
69 kg
Weight (KG) →
Result →
77
67
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE WILDE Etienne | 70 |
| 2 | KELLY Sean | 77 |
| 10 | FIGNON Laurent | 67 |
| 12 | PLANCKAERT Eddy | 69 |
| 14 | DUCLOS-LASSALLE Gilbert | 73 |
| 17 | KUIPER Hennie | 69 |