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 = 2.1 * weight - 102
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
Alba
2
59 kgRivera
8
56 kgGuamá
11
61 kgRojas
28
59 kgBrenes
36
66 kgFonseca
46
56 kgNobel
62
78 kgWijfje
63
66 kg
2
59 kgRivera
8
56 kgGuamá
11
61 kgRojas
28
59 kgBrenes
36
66 kgFonseca
46
56 kgNobel
62
78 kgWijfje
63
66 kg
Weight (KG) →
Result →
78
56
2
63
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ALBA Juan Diego | 59 |
| 8 | RIVERA Kevin | 56 |
| 11 | GUAMÁ Byron | 61 |
| 28 | ROJAS Gabriel Francisco | 59 |
| 36 | BRENES Sebastian | 66 |
| 46 | FONSECA Andrey | 56 |
| 62 | NOBEL Rick | 78 |
| 63 | WIJFJE Tom | 66 |