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 = 0.2 * weight - 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Guamá
1
61 kgChumil
2
62 kgAcosta
7
58 kgMcGeough
8
76 kgBrenes
13
66 kgRivera
15
56 kgLachance
18
72 kgPrado
29
65 kg
1
61 kgChumil
2
62 kgAcosta
7
58 kgMcGeough
8
76 kgBrenes
13
66 kgRivera
15
56 kgLachance
18
72 kgPrado
29
65 kg
Weight (KG) →
Result →
76
56
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUAMÁ Byron | 61 |
| 2 | CHUMIL Sergio Geovani | 62 |
| 7 | ACOSTA Ruben Dario | 58 |
| 8 | MCGEOUGH Cormac | 76 |
| 13 | BRENES Sebastian | 66 |
| 15 | RIVERA Kevin | 56 |
| 18 | LACHANCE Jean-Michel | 72 |
| 29 | PRADO Ignacio de Jesús | 65 |