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 - 49
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Berrendero
1
63 kgVlaemynck
6
63 kgSijen
10
74 kgGimeno
21
73 kgLambrichs
28
67 kg
1
63 kgVlaemynck
6
63 kgSijen
10
74 kgGimeno
21
73 kgLambrichs
28
67 kg
Weight (KG) →
Result →
74
63
1
28
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BERRENDERO Julián | 63 |
| 6 | VLAEMYNCK Lucien | 63 |
| 10 | SIJEN Hubert | 74 |
| 21 | GIMENO Juan | 73 |
| 28 | LAMBRICHS Jan | 67 |