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 = 0.1 * weight + 7
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Guamá
1
61 kgChumil
2
62 kgRivera
4
56 kgAcosta
10
58 kgBrenes
11
66 kgMcGeough
12
76 kgParra
20
51 kgPrado
29
65 kg
1
61 kgChumil
2
62 kgRivera
4
56 kgAcosta
10
58 kgBrenes
11
66 kgMcGeough
12
76 kgParra
20
51 kgPrado
29
65 kg
Weight (KG) →
Result →
76
51
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUAMÁ Byron | 61 |
| 2 | CHUMIL Sergio Geovani | 62 |
| 4 | RIVERA Kevin | 56 |
| 10 | ACOSTA Ruben Dario | 58 |
| 11 | BRENES Sebastian | 66 |
| 12 | MCGEOUGH Cormac | 76 |
| 20 | PARRA Heiner Rodrigo | 51 |
| 29 | PRADO Ignacio de Jesús | 65 |