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 = -0.4 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Cárdenas
1
59 kgRamirez
2
69 kgAtapuma
3
59 kgQuintero
7
63 kgChalapud
8
63 kgChaparro
10
54 kgRubiano
11
58 kg
1
59 kgRamirez
2
69 kgAtapuma
3
59 kgQuintero
7
63 kgChalapud
8
63 kgChaparro
10
54 kgRubiano
11
58 kg
Weight (KG) →
Result →
69
54
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CÁRDENAS Félix Rafael | 59 |
| 2 | RAMIREZ Brayan Steven | 69 |
| 3 | ATAPUMA Darwin | 59 |
| 7 | QUINTERO Carlos | 63 |
| 8 | CHALAPUD Robinson | 63 |
| 10 | CHAPARRO Didier | 54 |
| 11 | RUBIANO Miguel Angel | 58 |