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 - 16
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
López
2
61 kgArdila
3
59 kgReyes
6
55 kgBustamante
15
65 kgOsorio
17
65 kgMcGeough
23
76 kgSanchez
27
55 kg
2
61 kgArdila
3
59 kgReyes
6
55 kgBustamante
15
65 kgOsorio
17
65 kgMcGeough
23
76 kgSanchez
27
55 kg
Weight (KG) →
Result →
76
55
2
27
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LÓPEZ Robinson Fabián | 61 |
| 3 | ARDILA Andrés Camilo | 59 |
| 6 | REYES Aldemar | 55 |
| 15 | BUSTAMANTE Adrián | 65 |
| 17 | OSORIO Juan Felipe | 65 |
| 23 | MCGEOUGH Cormac | 76 |
| 27 | SANCHEZ Mateo | 55 |