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 = -0.5 * weight + 42
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Markov
4
80 kgGarrido
6
70 kgBarbosa
8
72 kgMarque
10
68 kgGlomser
11
67 kg
4
80 kgGarrido
6
70 kgBarbosa
8
72 kgMarque
10
68 kgGlomser
11
67 kg
Weight (KG) →
Result →
80
67
4
11
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | MARKOV Alexei | 80 |
| 6 | GARRIDO Martin Gerardo | 70 |
| 8 | BARBOSA Cândido | 72 |
| 10 | MARQUE Alejandro Manuel | 68 |
| 11 | GLOMSER Gerrit | 67 |