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 = -0.9 * weight + 87
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Brenes
9
66 kgGuamá
11
61 kgNobel
12
78 kgAlba
23
59 kgFonseca
35
56 kgRivera
41
56 kgRojas
44
59 kgWijfje
61
66 kg
9
66 kgGuamá
11
61 kgNobel
12
78 kgAlba
23
59 kgFonseca
35
56 kgRivera
41
56 kgRojas
44
59 kgWijfje
61
66 kg
Weight (KG) →
Result →
78
56
9
61
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | BRENES Sebastian | 66 |
| 11 | GUAMÁ Byron | 61 |
| 12 | NOBEL Rick | 78 |
| 23 | ALBA Juan Diego | 59 |
| 35 | FONSECA Andrey | 56 |
| 41 | RIVERA Kevin | 56 |
| 44 | ROJAS Gabriel Francisco | 59 |
| 61 | WIJFJE Tom | 66 |