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 = 0.2 * weight - 8
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Petrov
1
66 kgPires
2
63 kgRibeiro
4
59 kgSousa
8
59 kgBarbosa
9
72 kgLatasa
10
66 kg
1
66 kgPires
2
63 kgRibeiro
4
59 kgSousa
8
59 kgBarbosa
9
72 kgLatasa
10
66 kg
Weight (KG) →
Result →
72
59
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PETROV Daniel Bogomilov | 66 |
| 2 | PIRES Bruno | 63 |
| 4 | RIBEIRO Nuno | 59 |
| 8 | SOUSA Rui | 59 |
| 9 | BARBOSA Cândido | 72 |
| 10 | LATASA David | 66 |