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 = 1.5 * weight - 68
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Rivera
2
56 kgAlba
3
59 kgGuamá
9
61 kgRojas
25
59 kgBrenes
35
66 kgNobel
51
78 kgWijfje
53
66 kgFonseca
56
56 kg
2
56 kgAlba
3
59 kgGuamá
9
61 kgRojas
25
59 kgBrenes
35
66 kgNobel
51
78 kgWijfje
53
66 kgFonseca
56
56 kg
Weight (KG) →
Result →
78
56
2
56
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RIVERA Kevin | 56 |
| 3 | ALBA Juan Diego | 59 |
| 9 | GUAMÁ Byron | 61 |
| 25 | ROJAS Gabriel Francisco | 59 |
| 35 | BRENES Sebastian | 66 |
| 51 | NOBEL Rick | 78 |
| 53 | WIJFJE Tom | 66 |
| 56 | FONSECA Andrey | 56 |