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 = -2.1 * weight + 163
This means that on average for every extra kilogram weight a rider loses -2.1 positions in the result.
Lachance
11
72 kgCastaño
12
66 kgNarváez
17
56 kgGuamá
23
61 kgVelasco
48
58 kgCaza
51
63 kgRodriguez
76
59 kg
11
72 kgCastaño
12
66 kgNarváez
17
56 kgGuamá
23
61 kgVelasco
48
58 kgCaza
51
63 kgRodriguez
76
59 kg
Weight (KG) →
Result →
72
56
11
76
| # | Rider | Weight (KG) |
|---|---|---|
| 11 | LACHANCE Jean-Michel | 72 |
| 12 | CASTAÑO Erick | 66 |
| 17 | NARVÁEZ Alexis David | 56 |
| 23 | GUAMÁ Byron | 61 |
| 48 | VELASCO Henry | 58 |
| 51 | CAZA Rommel Andrés | 63 |
| 76 | RODRIGUEZ Pedro Sébastian | 59 |