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 = 0.3 * weight + 5
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Raabe
1
71 kgBonilla
3
73 kgRojas
7
58 kgMartins
28
70 kgChacón
46
63 kgLachance
63
72 kg
1
71 kgBonilla
3
73 kgRojas
7
58 kgMartins
28
70 kgChacón
46
63 kgLachance
63
72 kg
Weight (KG) →
Result →
73
58
1
63
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAABE Henry | 71 |
| 3 | BONILLA José Adrián | 73 |
| 7 | ROJAS Juan Carlos | 58 |
| 28 | MARTINS Uri | 70 |
| 46 | CHACÓN José Isidro | 63 |
| 63 | LACHANCE Jean-Michel | 72 |