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 = 3.6 * weight - 203
This means that on average for every extra kilogram weight a rider loses 3.6 positions in the result.
Rojas
4
58 kgGálviz
7
65 kgGodoy
14
64 kgBourgeois
38
61 kgCarstensen
61
69 kg
4
58 kgGálviz
7
65 kgGodoy
14
64 kgBourgeois
38
61 kgCarstensen
61
69 kg
Weight (KG) →
Result →
69
58
4
61
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | ROJAS Juan Carlos | 58 |
| 7 | GÁLVIZ Carlos Johan | 65 |
| 14 | GODOY Yonder | 64 |
| 38 | BOURGEOIS Guillaume | 61 |
| 61 | CARSTENSEN Lucas | 69 |