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 = -0.5 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Cardoso
1
70 kgCosta
2
69 kgSilva
8
71 kgBrôco
9
66 kgFonte
10
60 kgMachado
13
63 kgLivramento
14
55 kgSabido
15
70 kg
1
70 kgCosta
2
69 kgSilva
8
71 kgBrôco
9
66 kgFonte
10
60 kgMachado
13
63 kgLivramento
14
55 kgSabido
15
70 kg
Weight (KG) →
Result →
71
55
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CARDOSO Manuel Antonio Leal | 70 |
| 2 | COSTA Rui | 69 |
| 8 | SILVA Luis Filipe | 71 |
| 9 | BRÔCO Hernâni | 66 |
| 10 | FONTE César | 60 |
| 13 | MACHADO Tiago | 63 |
| 14 | LIVRAMENTO David | 55 |
| 15 | SABIDO Hugo | 70 |