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 = -0.7 * weight + 68
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Pita
1
67 kgVelasco
6
58 kgKoontz
9
80 kgNobel
15
78 kgRodas
19
68 kgGuamá
34
61 kgCepeda
48
61 kg
1
67 kgVelasco
6
58 kgKoontz
9
80 kgNobel
15
78 kgRodas
19
68 kgGuamá
34
61 kgCepeda
48
61 kg
Weight (KG) →
Result →
80
58
1
48
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PITA Cristian David | 67 |
| 6 | VELASCO Henry | 58 |
| 9 | KOONTZ Grant | 80 |
| 15 | NOBEL Rick | 78 |
| 19 | RODAS Manuel | 68 |
| 34 | GUAMÁ Byron | 61 |
| 48 | CEPEDA Jefferson Alveiro | 61 |