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 = 1.4 * weight - 79
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Kelly
1
77 kgMartinelli
3
74 kgThaler
4
60 kgViejo
8
64 kgDe Wilde
12
70 kgLasa
13
68 kgLadrón
87
74 kg
1
77 kgMartinelli
3
74 kgThaler
4
60 kgViejo
8
64 kgDe Wilde
12
70 kgLasa
13
68 kgLadrón
87
74 kg
Weight (KG) →
Result →
77
60
1
87
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELLY Sean | 77 |
| 3 | MARTINELLI Giuseppe | 74 |
| 4 | THALER Klaus-Peter | 60 |
| 8 | VIEJO José Luis | 64 |
| 12 | DE WILDE Etienne | 70 |
| 13 | LASA Miguel María | 68 |
| 87 | LADRÓN Rafael | 74 |