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 = -1.9 * weight + 145
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
Carstensen
4
69 kgRojas
15
58 kgGálviz
19
65 kgGodoy
39
64 kgBourgeois
52
61 kg
4
69 kgRojas
15
58 kgGálviz
19
65 kgGodoy
39
64 kgBourgeois
52
61 kg
Weight (KG) →
Result →
69
58
4
52
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | CARSTENSEN Lucas | 69 |
| 15 | ROJAS Juan Carlos | 58 |
| 19 | GÁLVIZ Carlos Johan | 65 |
| 39 | GODOY Yonder | 64 |
| 52 | BOURGEOIS Guillaume | 61 |