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 = 1.4 * weight - 65
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Alba
1
59 kgRivera
2
56 kgGuamá
7
61 kgRojas
15
59 kgBrenes
24
66 kgFonseca
41
56 kgNobel
42
78 kgWijfje
45
66 kg
1
59 kgRivera
2
56 kgGuamá
7
61 kgRojas
15
59 kgBrenes
24
66 kgFonseca
41
56 kgNobel
42
78 kgWijfje
45
66 kg
Weight (KG) →
Result →
78
56
1
45
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ALBA Juan Diego | 59 |
| 2 | RIVERA Kevin | 56 |
| 7 | GUAMÁ Byron | 61 |
| 15 | ROJAS Gabriel Francisco | 59 |
| 24 | BRENES Sebastian | 66 |
| 41 | FONSECA Andrey | 56 |
| 42 | NOBEL Rick | 78 |
| 45 | WIJFJE Tom | 66 |