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 = -2.1 * weight + 180
This means that on average for every extra kilogram weight a rider loses -2.1 positions in the result.
Kelly
1
77 kgElorriaga
2
85 kgLasa
7
68 kgFernández
18
68 kgLadrón
54
74 kgPollentier
61
62 kgDe Wilde
63
70 kg
1
77 kgElorriaga
2
85 kgLasa
7
68 kgFernández
18
68 kgLadrón
54
74 kgPollentier
61
62 kgDe Wilde
63
70 kg
Weight (KG) →
Result →
85
62
1
63
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELLY Sean | 77 |
| 2 | ELORRIAGA Javier Francisco | 85 |
| 7 | LASA Miguel María | 68 |
| 18 | FERNÁNDEZ Juan | 68 |
| 54 | LADRÓN Rafael | 74 |
| 61 | POLLENTIER Michel | 62 |
| 63 | DE WILDE Etienne | 70 |