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 - 35
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Carapaz
2
62 kgCaicedo
3
62 kgGuamá
4
61 kgCepeda
7
56 kgCaza
12
63 kgPita
14
67 kg
2
62 kgCaicedo
3
62 kgGuamá
4
61 kgCepeda
7
56 kgCaza
12
63 kgPita
14
67 kg
Weight (KG) →
Result →
67
56
2
14
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CARAPAZ Richard | 62 |
| 3 | CAICEDO Jonathan Klever | 62 |
| 4 | GUAMÁ Byron | 61 |
| 7 | CEPEDA Jefferson Alexander | 56 |
| 12 | CAZA Rommel Andrés | 63 |
| 14 | PITA Cristian David | 67 |