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 = -1.8 * weight + 147
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | SABATINI Fabio | 74 |
2 | ŠTYBAR Zdeněk | 68 |
3 | MARTIN Tony | 75 |
6 | TRUSOV Nikolay | 77 |
20 | IGNATIEV Mikhail | 67 |
21 | AGNOLI Valerio | 72 |
22 | KADRI Blel | 66 |
26 | KUX Christian | 74 |
29 | WYSS Marcel | 63 |
32 | DELAGE Mickaël | 70 |
54 | GESCHKE Simon | 64 |
57 | GRAF Andreas | 72 |