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 = 1.7 * weight - 83
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Rojas
3
58 kgGálviz
12
65 kgGodoy
14
64 kgCarstensen
45
69 kgBourgeois
60
61 kg
3
58 kgGálviz
12
65 kgGodoy
14
64 kgCarstensen
45
69 kgBourgeois
60
61 kg
Weight (KG) →
Result →
69
58
3
60
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ROJAS Juan Carlos | 58 |
| 12 | GÁLVIZ Carlos Johan | 65 |
| 14 | GODOY Yonder | 64 |
| 45 | CARSTENSEN Lucas | 69 |
| 60 | BOURGEOIS Guillaume | 61 |