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 + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Edo
1
64 kgBarbosa
2
72 kgMarkov
5
80 kgGarcía Dapena
9
73 kgMorajko
12
65 kgCastanheira
13
70 kgSabido
14
70 kg
1
64 kgBarbosa
2
72 kgMarkov
5
80 kgGarcía Dapena
9
73 kgMorajko
12
65 kgCastanheira
13
70 kgSabido
14
70 kg
Weight (KG) →
Result →
80
64
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EDO Ángel | 64 |
| 2 | BARBOSA Cândido | 72 |
| 5 | MARKOV Alexei | 80 |
| 9 | GARCÍA DAPENA David | 73 |
| 12 | MORAJKO Jacek | 65 |
| 13 | CASTANHEIRA Bruno Miguel | 70 |
| 14 | SABIDO Hugo | 70 |