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 = 2.4 * weight - 126
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
Rojas
1
58 kgGodoy
11
64 kgGálviz
14
65 kgCarstensen
45
69 kgBourgeois
47
61 kg
1
58 kgGodoy
11
64 kgGálviz
14
65 kgCarstensen
45
69 kgBourgeois
47
61 kg
Weight (KG) →
Result →
69
58
1
47
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROJAS Juan Carlos | 58 |
| 11 | GODOY Yonder | 64 |
| 14 | GÁLVIZ Carlos Johan | 65 |
| 45 | CARSTENSEN Lucas | 69 |
| 47 | BOURGEOIS Guillaume | 61 |