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 - 37
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Lasa
8
68 kgThaler
9
60 kgViejo
10
64 kgLadrón
20
74 kgTamames
21
66 kgAja
27
66 kgMartinez
28
80 kg
8
68 kgThaler
9
60 kgViejo
10
64 kgLadrón
20
74 kgTamames
21
66 kgAja
27
66 kgMartinez
28
80 kg
Weight (KG) →
Result →
80
60
8
28
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | LASA Miguel María | 68 |
| 9 | THALER Klaus-Peter | 60 |
| 10 | VIEJO José Luis | 64 |
| 20 | LADRÓN Rafael | 74 |
| 21 | TAMAMES Agustín | 66 |
| 27 | AJA Gonzalo | 66 |
| 28 | MARTINEZ Paulino | 80 |