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 = 1.9 * weight - 98
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
Rivera
3
56 kgAlba
5
59 kgRojas
9
59 kgBrenes
13
66 kgGuamá
15
61 kgFonseca
37
56 kgWijfje
54
66 kgNobel
55
78 kg
3
56 kgAlba
5
59 kgRojas
9
59 kgBrenes
13
66 kgGuamá
15
61 kgFonseca
37
56 kgWijfje
54
66 kgNobel
55
78 kg
Weight (KG) →
Result →
78
56
3
55
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | RIVERA Kevin | 56 |
| 5 | ALBA Juan Diego | 59 |
| 9 | ROJAS Gabriel Francisco | 59 |
| 13 | BRENES Sebastian | 66 |
| 15 | GUAMÁ Byron | 61 |
| 37 | FONSECA Andrey | 56 |
| 54 | WIJFJE Tom | 66 |
| 55 | NOBEL Rick | 78 |