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 + 63
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Charteau
3
67 kgZakarin
5
67 kgOlivier
7
64 kgStalnov
8
63 kgBarguil
9
61 kg
3
67 kgZakarin
5
67 kgOlivier
7
64 kgStalnov
8
63 kgBarguil
9
61 kg
Weight (KG) →
Result →
67
61
3
9
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | CHARTEAU Anthony | 67 |
| 5 | ZAKARIN Ilnur | 67 |
| 7 | OLIVIER Daan | 64 |
| 8 | STALNOV Nikita | 63 |
| 9 | BARGUIL Warren | 61 |