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 - 217
This means that on average for every extra kilogram weight a rider loses 3.6 positions in the result.
Henao
5
61 kgJaramillo
6
63 kgGálviz
8
65 kgAcevedo
25
63 kgRodas
35
68 kg
5
61 kgJaramillo
6
63 kgGálviz
8
65 kgAcevedo
25
63 kgRodas
35
68 kg
Weight (KG) →
Result →
68
61
5
35
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | HENAO Sergio | 61 |
| 6 | JARAMILLO Daniel | 63 |
| 8 | GÁLVIZ Carlos Johan | 65 |
| 25 | ACEVEDO Janier | 63 |
| 35 | RODAS Manuel | 68 |