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 = -0.7 * weight + 71
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | BODNAR Łukasz | 68 |
2 | KIRSIPUU Jaan | 80 |
4 | MATYSIAK Bartłomiej | 71 |
6 | TAMOURIDIS Ioannis | 70 |
11 | KIENDYŚ Tomasz | 78 |
17 | LAHSAINI Mouhssine | 77 |
18 | HASANIN Omar | 75 |
21 | CHAOUFI Tarik | 65 |
22 | HONKISZ Adrian | 61 |
31 | JELLOUL Adil | 58 |
34 | KÜÇÜKBAY Kemal | 70 |
35 | SAGAN Juraj | 65 |
36 | CAPELLE Ludovic | 75 |