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 + 95
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
2 | KIRSIPUU Jaan | 80 |
4 | TAMOURIDIS Ioannis | 70 |
9 | LAHSAINI Mouhssine | 77 |
10 | KIENDYŚ Tomasz | 78 |
14 | MATYSIAK Bartłomiej | 71 |
19 | HONKISZ Adrian | 61 |
21 | JELLOUL Adil | 58 |
25 | BODNAR Łukasz | 68 |
30 | CHAOUFI Tarik | 65 |
33 | KÜÇÜKBAY Kemal | 70 |
35 | HASANIN Omar | 75 |
61 | CAPELLE Ludovic | 75 |
73 | SAGAN Juraj | 65 |
75 | BELGASEM Ahmed Youssef | 68 |