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 + 82
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Raabe
3
71 kgLachance
10
72 kgRojas
13
58 kgBonilla
17
73 kgMartins
38
70 kgChacón
52
63 kg
3
71 kgLachance
10
72 kgRojas
13
58 kgBonilla
17
73 kgMartins
38
70 kgChacón
52
63 kg
Weight (KG) →
Result →
73
58
3
52
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | RAABE Henry | 71 |
| 10 | LACHANCE Jean-Michel | 72 |
| 13 | ROJAS Juan Carlos | 58 |
| 17 | BONILLA José Adrián | 73 |
| 38 | MARTINS Uri | 70 |
| 52 | CHACÓN José Isidro | 63 |