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 = -1.2 * weight + 104
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Raabe
5
71 kgLachance
6
72 kgBonilla
16
73 kgRojas
18
58 kgMartins
37
70 kgChacón
50
63 kg
5
71 kgLachance
6
72 kgBonilla
16
73 kgRojas
18
58 kgMartins
37
70 kgChacón
50
63 kg
Weight (KG) →
Result →
73
58
5
50
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | RAABE Henry | 71 |
| 6 | LACHANCE Jean-Michel | 72 |
| 16 | BONILLA José Adrián | 73 |
| 18 | ROJAS Juan Carlos | 58 |
| 37 | MARTINS Uri | 70 |
| 50 | CHACÓN José Isidro | 63 |