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 = -0.4 * weight + 59
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Boev
9
74 kgVasylyuk
16
65 kgNikolaev
20
66 kgZakharov
42
70 kgVorobyev
44
74 kgPrevar
51
64 kg
9
74 kgVasylyuk
16
65 kgNikolaev
20
66 kgZakharov
42
70 kgVorobyev
44
74 kgPrevar
51
64 kg
Weight (KG) →
Result →
74
64
9
51
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | BOEV Igor | 74 |
| 16 | VASYLYUK Andriy | 65 |
| 20 | NIKOLAEV Sergey | 66 |
| 42 | ZAKHAROV Artyom | 70 |
| 44 | VOROBYEV Anton | 74 |
| 51 | PREVAR Oleksandr | 64 |