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 = -0.3 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Gonçalves
2
70 kgCamaño
3
68 kgMestre
5
58 kgCarvalho
6
62 kgTamouridis
7
70 kgSilva
8
59 kgPinto
10
58 kg
2
70 kgCamaño
3
68 kgMestre
5
58 kgCarvalho
6
62 kgTamouridis
7
70 kgSilva
8
59 kgPinto
10
58 kg
Weight (KG) →
Result →
70
58
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GONÇALVES José | 70 |
| 3 | CAMAÑO Iker | 68 |
| 5 | MESTRE Ricardo | 58 |
| 6 | CARVALHO Antonio | 62 |
| 7 | TAMOURIDIS Ioannis | 70 |
| 8 | SILVA Daniel | 59 |
| 10 | PINTO Edgar | 58 |