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 - 15
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Kelly
4
77 kgLasa
9
68 kgFernández
16
68 kgPollentier
26
62 kgLadrón
37
74 kgElorriaga
42
85 kgDe Wilde
45
70 kg
4
77 kgLasa
9
68 kgFernández
16
68 kgPollentier
26
62 kgLadrón
37
74 kgElorriaga
42
85 kgDe Wilde
45
70 kg
Weight (KG) →
Result →
85
62
4
45
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | KELLY Sean | 77 |
| 9 | LASA Miguel María | 68 |
| 16 | FERNÁNDEZ Juan | 68 |
| 26 | POLLENTIER Michel | 62 |
| 37 | LADRÓN Rafael | 74 |
| 42 | ELORRIAGA Javier Francisco | 85 |
| 45 | DE WILDE Etienne | 70 |