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 = -1.8 * weight + 151
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
Zakharov
13
70 kgBoev
16
74 kgNikolaev
17
66 kgVorobyev
22
74 kgVasylyuk
33
65 kgPrevar
46
64 kg
13
70 kgBoev
16
74 kgNikolaev
17
66 kgVorobyev
22
74 kgVasylyuk
33
65 kgPrevar
46
64 kg
Weight (KG) →
Result →
74
64
13
46
| # | Rider | Weight (KG) |
|---|---|---|
| 13 | ZAKHAROV Artyom | 70 |
| 16 | BOEV Igor | 74 |
| 17 | NIKOLAEV Sergey | 66 |
| 22 | VOROBYEV Anton | 74 |
| 33 | VASYLYUK Andriy | 65 |
| 46 | PREVAR Oleksandr | 64 |