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 = 3.1 * weight - 169
This means that on average for every extra kilogram weight a rider loses 3.1 positions in the result.
Rojas
2
58 kgGálviz
11
65 kgGodoy
20
64 kgBourgeois
51
61 kgCarstensen
57
69 kg
2
58 kgGálviz
11
65 kgGodoy
20
64 kgBourgeois
51
61 kgCarstensen
57
69 kg
Weight (KG) →
Result →
69
58
2
57
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ROJAS Juan Carlos | 58 |
| 11 | GÁLVIZ Carlos Johan | 65 |
| 20 | GODOY Yonder | 64 |
| 51 | BOURGEOIS Guillaume | 61 |
| 57 | CARSTENSEN Lucas | 69 |