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 = 1.8 * weight - 87
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
Guamá
1
61 kgAlba
7
59 kgRivera
11
56 kgRojas
19
59 kgBrenes
27
66 kgFonseca
38
56 kgWijfje
42
66 kgNobel
56
78 kg
1
61 kgAlba
7
59 kgRivera
11
56 kgRojas
19
59 kgBrenes
27
66 kgFonseca
38
56 kgWijfje
42
66 kgNobel
56
78 kg
Weight (KG) →
Result →
78
56
1
56
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUAMÁ Byron | 61 |
| 7 | ALBA Juan Diego | 59 |
| 11 | RIVERA Kevin | 56 |
| 19 | ROJAS Gabriel Francisco | 59 |
| 27 | BRENES Sebastian | 66 |
| 38 | FONSECA Andrey | 56 |
| 42 | WIJFJE Tom | 66 |
| 56 | NOBEL Rick | 78 |