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 - 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Petrov
3
66 kgTondo
4
68 kgFerrío
5
51 kgBonilla
6
73 kgMøller
9
70 kgBarbosa
10
72 kg
3
66 kgTondo
4
68 kgFerrío
5
51 kgBonilla
6
73 kgMøller
9
70 kgBarbosa
10
72 kg
Weight (KG) →
Result →
73
51
3
10
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PETROV Daniel Bogomilov | 66 |
| 4 | TONDO Xavier | 68 |
| 5 | FERRÍO Jorge | 51 |
| 6 | BONILLA José Adrián | 73 |
| 9 | MØLLER Claus Michael | 70 |
| 10 | BARBOSA Cândido | 72 |