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 = -0.1 * weight + 10
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Cardoso
1
56 kgBarbosa
3
72 kgTondo
4
68 kgAzevedo
5
59 kgMorajko
7
65 kgBernabéu
8
66 kgPalomares
10
56 kg
1
56 kgBarbosa
3
72 kgTondo
4
68 kgAzevedo
5
59 kgMorajko
7
65 kgBernabéu
8
66 kgPalomares
10
56 kg
Weight (KG) →
Result →
72
56
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CARDOSO André | 56 |
| 3 | BARBOSA Cândido | 72 |
| 4 | TONDO Xavier | 68 |
| 5 | AZEVEDO José Bento | 59 |
| 7 | MORAJKO Jacek | 65 |
| 8 | BERNABÉU David | 66 |
| 10 | PALOMARES Adrián | 56 |