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 = 0.6 * weight - 31
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Caicedo
1
62 kgCepeda
2
56 kgVelasco
3
58 kgCastaño
7
66 kgCaza
8
63 kgGuamá
9
61 kgQuishpe
11
70 kg
1
62 kgCepeda
2
56 kgVelasco
3
58 kgCastaño
7
66 kgCaza
8
63 kgGuamá
9
61 kgQuishpe
11
70 kg
Weight (KG) →
Result →
70
56
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAICEDO Jonathan Klever | 62 |
| 2 | CEPEDA Jefferson Alexander | 56 |
| 3 | VELASCO Henry | 58 |
| 7 | CASTAÑO Erick | 66 |
| 8 | CAZA Rommel Andrés | 63 |
| 9 | GUAMÁ Byron | 61 |
| 11 | QUISHPE Carlos Eduardo | 70 |