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 = -0.1 * weight + 10
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Nelyubin
1
71 kgVázquez
3
82 kgKühn
4
64 kgMoravec
6
74 kgGorelov
9
70 kg
1
71 kgVázquez
3
82 kgKühn
4
64 kgMoravec
6
74 kgGorelov
9
70 kg
Weight (KG) →
Result →
82
64
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NELYUBIN Vladislav | 71 |
| 3 | VÁZQUEZ Raúl Marcelo | 82 |
| 4 | KÜHN Wolfram | 64 |
| 6 | MORAVEC Vlastimil | 74 |
| 9 | GORELOV Nikolay | 70 |