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 = -0.4 * weight + 37
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Rominger
2
65 kgDelgado
6
64 kgMadiot
9
68 kgBreukink
12
70 kgWinnen
14
60 kgGiupponi
15
60 kg
2
65 kgDelgado
6
64 kgMadiot
9
68 kgBreukink
12
70 kgWinnen
14
60 kgGiupponi
15
60 kg
Weight (KG) →
Result →
70
60
2
15
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ROMINGER Tony | 65 |
| 6 | DELGADO Pedro | 64 |
| 9 | MADIOT Marc | 68 |
| 12 | BREUKINK Erik | 70 |
| 14 | WINNEN Peter | 60 |
| 15 | GIUPPONI Flavio | 60 |