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 = 2.5 * weight - 128
This means that on average for every extra kilogram weight a rider loses 2.5 positions in the result.
Rivera
1
56 kgAlba
3
59 kgRojas
5
59 kgGuamá
12
61 kgFonseca
38
56 kgBrenes
51
66 kgWijfje
52
66 kgNobel
58
78 kg
1
56 kgAlba
3
59 kgRojas
5
59 kgGuamá
12
61 kgFonseca
38
56 kgBrenes
51
66 kgWijfje
52
66 kgNobel
58
78 kg
Weight (KG) →
Result →
78
56
1
58
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RIVERA Kevin | 56 |
| 3 | ALBA Juan Diego | 59 |
| 5 | ROJAS Gabriel Francisco | 59 |
| 12 | GUAMÁ Byron | 61 |
| 38 | FONSECA Andrey | 56 |
| 51 | BRENES Sebastian | 66 |
| 52 | WIJFJE Tom | 66 |
| 58 | NOBEL Rick | 78 |