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 = 0.9 * weight - 35
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Rojas
1
59 kgBrenes
3
66 kgRivera
7
56 kgAlba
9
59 kgGuamá
16
61 kgNobel
38
78 kgWijfje
40
66 kgFonseca
44
56 kg
1
59 kgBrenes
3
66 kgRivera
7
56 kgAlba
9
59 kgGuamá
16
61 kgNobel
38
78 kgWijfje
40
66 kgFonseca
44
56 kg
Weight (KG) →
Result →
78
56
1
44
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROJAS Gabriel Francisco | 59 |
| 3 | BRENES Sebastian | 66 |
| 7 | RIVERA Kevin | 56 |
| 9 | ALBA Juan Diego | 59 |
| 16 | GUAMÁ Byron | 61 |
| 38 | NOBEL Rick | 78 |
| 40 | WIJFJE Tom | 66 |
| 44 | FONSECA Andrey | 56 |