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 = -0.5 * weight + 71
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Carstensen
14
69 kgRojas
17
58 kgGálviz
50
65 kgGodoy
53
64 kgBourgeois
56
61 kg
14
69 kgRojas
17
58 kgGálviz
50
65 kgGodoy
53
64 kgBourgeois
56
61 kg
Weight (KG) →
Result →
69
58
14
56
# | Rider | Weight (KG) |
---|---|---|
14 | CARSTENSEN Lucas | 69 |
17 | ROJAS Juan Carlos | 58 |
50 | GÁLVIZ Carlos Johan | 65 |
53 | GODOY Yonder | 64 |
56 | BOURGEOIS Guillaume | 61 |