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 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Parra
2
51 kgChumil
3
62 kgMcGeough
8
76 kgBrenes
19
66 kgGuamá
20
61 kgRivera
21
56 kgAcosta
23
58 kg
2
51 kgChumil
3
62 kgMcGeough
8
76 kgBrenes
19
66 kgGuamá
20
61 kgRivera
21
56 kgAcosta
23
58 kg
Weight (KG) →
Result →
76
51
2
23
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PARRA Heiner Rodrigo | 51 |
| 3 | CHUMIL Sergio Geovani | 62 |
| 8 | MCGEOUGH Cormac | 76 |
| 19 | BRENES Sebastian | 66 |
| 20 | GUAMÁ Byron | 61 |
| 21 | RIVERA Kevin | 56 |
| 23 | ACOSTA Ruben Dario | 58 |