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.
Khatuntseva
15
54 kgSosna
27
76 kgBurchenkova
32
67 kgVysotska
42
55 kgBoyarskaya
43
67 kg
15
54 kgSosna
27
76 kgBurchenkova
32
67 kgVysotska
42
55 kgBoyarskaya
43
67 kg
Weight (KG) →
Result →
76
54
15
43
| # | Rider | Weight (KG) |
|---|---|---|
| 15 | KHATUNTSEVA Gulnaz | 54 |
| 27 | SOSNA Katazyna | 76 |
| 32 | BURCHENKOVA Alexandra | 67 |
| 42 | VYSOTSKA Ievgeniia | 55 |
| 43 | BOYARSKAYA Natalia | 67 |