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 = 0.4 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Van de Wynkele
1
75 kgGudnitz
2
69 kgLovidius
3
70 kgKubiš
5
70 kgStosz
6
70 kgPajur
10
78 kg
1
75 kgGudnitz
2
69 kgLovidius
3
70 kgKubiš
5
70 kgStosz
6
70 kgPajur
10
78 kg
Weight (KG) →
Result →
78
69
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DE WYNKELE Lorenz | 75 |
| 2 | GUDNITZ Joshua | 69 |
| 3 | LOVIDIUS Edvin | 70 |
| 5 | KUBIŠ Lukáš | 70 |
| 6 | STOSZ Patryk | 70 |
| 10 | PAJUR Romet | 78 |