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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Petrov
1
76 kgMelikhov
2
76 kgZieliński
3
80 kgGazda
4
69 kgKapitonov
7
73 kg
1
76 kgMelikhov
2
76 kgZieliński
3
80 kgGazda
4
69 kgKapitonov
7
73 kg
Weight (KG) →
Result →
80
69
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PETROV Aleksei | 76 |
| 2 | MELIKHOV Yury | 76 |
| 3 | ZIELIŃSKI Rajmund | 80 |
| 4 | GAZDA Stanislaw | 69 |
| 7 | KAPITONOV Viktor | 73 |