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 = 2.6 * weight - 156
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
Prevar
14
64 kgVasylyuk
15
65 kgNikolaev
16
66 kgVorobyev
17
74 kgZakharov
34
70 kgBoev
60
74 kg
14
64 kgVasylyuk
15
65 kgNikolaev
16
66 kgVorobyev
17
74 kgZakharov
34
70 kgBoev
60
74 kg
Weight (KG) →
Result →
74
64
14
60
| # | Rider | Weight (KG) |
|---|---|---|
| 14 | PREVAR Oleksandr | 64 |
| 15 | VASYLYUK Andriy | 65 |
| 16 | NIKOLAEV Sergey | 66 |
| 17 | VOROBYEV Anton | 74 |
| 34 | ZAKHAROV Artyom | 70 |
| 60 | BOEV Igor | 74 |