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 - 11
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | FREIRE Óscar | 63 |
2 | ZABEL Erik | 69 |
3 | PAOLINI Luca | 66 |
4 | VALVERDE Alejandro | 61 |
5 | BOONEN Tom | 82 |
6 | REBELLIN Davide | 63 |
7 | TONDO Xavier | 68 |
9 | ELMIGER Martin | 73 |
10 | JUFRÉ Josep | 65 |
12 | VAN PETEGEM Peter | 70 |
13 | BAGUET Serge | 67 |
14 | GÁLVEZ Isaac | 68 |
15 | LUNGHI Denis | 61 |
17 | FLECHA Juan Antonio | 72 |
18 | TORRENT Carlos | 71 |
19 | RAST Grégory | 80 |