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 = 0.2 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Ochoa
1
61 kgRamirez
2
69 kgBohórquez
3
68 kgGaviria
6
71 kgSoto
13
66 kg
1
61 kgRamirez
2
69 kgBohórquez
3
68 kgGaviria
6
71 kgSoto
13
66 kg
Weight (KG) →
Result →
71
61
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | OCHOA Diego Antonio | 61 |
| 2 | RAMIREZ Brayan Steven | 69 |
| 3 | BOHÓRQUEZ Hernando | 68 |
| 6 | GAVIRIA Fernando | 71 |
| 13 | SOTO Nelson Andrés | 66 |