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 = 0.2 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Georges
2
69 kgCazaux
3
59 kgRogina
4
70 kgRoelandts
8
78 kgvan Genechten
9
67 kg
2
69 kgCazaux
3
59 kgRogina
4
70 kgRoelandts
8
78 kgvan Genechten
9
67 kg
Weight (KG) →
Result →
78
59
2
9
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GEORGES Sylvain | 69 |
| 3 | CAZAUX Pierre | 59 |
| 4 | ROGINA Radoslav | 70 |
| 8 | ROELANDTS Jürgen | 78 |
| 9 | VAN GENECHTEN Jonas | 67 |