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 = 1.4 * weight - 76
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Guamá
1
61 kgCepeda
2
61 kgRodas
8
68 kgVelasco
31
58 kgKoontz
40
80 kgNobel
44
78 kg
1
61 kgCepeda
2
61 kgRodas
8
68 kgVelasco
31
58 kgKoontz
40
80 kgNobel
44
78 kg
Weight (KG) →
Result →
80
58
1
44
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUAMÁ Byron | 61 |
| 2 | CEPEDA Jefferson Alveiro | 61 |
| 8 | RODAS Manuel | 68 |
| 31 | VELASCO Henry | 58 |
| 40 | KOONTZ Grant | 80 |
| 44 | NOBEL Rick | 78 |