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 = 2.1 * weight - 122
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
Vorobyev
12
74 kgVasylyuk
13
65 kgPrevar
14
64 kgNikolaev
17
66 kgZakharov
28
70 kgBoev
55
74 kg
12
74 kgVasylyuk
13
65 kgPrevar
14
64 kgNikolaev
17
66 kgZakharov
28
70 kgBoev
55
74 kg
Weight (KG) →
Result →
74
64
12
55
| # | Rider | Weight (KG) |
|---|---|---|
| 12 | VOROBYEV Anton | 74 |
| 13 | VASYLYUK Andriy | 65 |
| 14 | PREVAR Oleksandr | 64 |
| 17 | NIKOLAEV Sergey | 66 |
| 28 | ZAKHAROV Artyom | 70 |
| 55 | BOEV Igor | 74 |