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 + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Demeyer
1
85 kgNelyubin
2
71 kgGera
3
76 kgVasile
8
66 kgMatoušek
9
82 kg
1
85 kgNelyubin
2
71 kgGera
3
76 kgVasile
8
66 kgMatoušek
9
82 kg
Weight (KG) →
Result →
85
66
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEMEYER Marc | 85 |
| 2 | NELYUBIN Vladislav | 71 |
| 3 | GERA Imre | 76 |
| 8 | VASILE Teodor | 66 |
| 9 | MATOUŠEK Petr | 82 |