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 = -0.4 * weight + 51
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Lasa
4
68 kgKelly
5
77 kgFernández
16
68 kgElorriaga
25
85 kgLadrón
33
74 kgPollentier
37
62 kgDe Wilde
47
70 kg
4
68 kgKelly
5
77 kgFernández
16
68 kgElorriaga
25
85 kgLadrón
33
74 kgPollentier
37
62 kgDe Wilde
47
70 kg
Weight (KG) →
Result →
85
62
4
47
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | LASA Miguel María | 68 |
| 5 | KELLY Sean | 77 |
| 16 | FERNÁNDEZ Juan | 68 |
| 25 | ELORRIAGA Javier Francisco | 85 |
| 33 | LADRÓN Rafael | 74 |
| 37 | POLLENTIER Michel | 62 |
| 47 | DE WILDE Etienne | 70 |