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 + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Melnychuk
3
55 kgRostovtseva
5
61 kgRiabchenko
8
57 kgSaifutdinova
9
57 kgKononenko
11
68 kgPachshenko
16
52 kg
3
55 kgRostovtseva
5
61 kgRiabchenko
8
57 kgSaifutdinova
9
57 kgKononenko
11
68 kgPachshenko
16
52 kg
Weight (KG) →
Result →
68
52
3
16
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MELNYCHUK Viktoriia | 55 |
| 5 | ROSTOVTSEVA Maria | 61 |
| 8 | RIABCHENKO Tetyana | 57 |
| 9 | SAIFUTDINOVA Natalya | 57 |
| 11 | KONONENKO Valeriya | 68 |
| 16 | PACHSHENKO Svetlana | 52 |