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 = -0.6 * weight + 84
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Vorobyev
2
74 kgVasylyuk
7
65 kgTatarinov
44
67 kgNikolaev
48
66 kgZakharov
49
70 kgPrevar
76
64 kgBoev
78
74 kg
2
74 kgVasylyuk
7
65 kgTatarinov
44
67 kgNikolaev
48
66 kgZakharov
49
70 kgPrevar
76
64 kgBoev
78
74 kg
Weight (KG) →
Result →
74
64
2
78
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VOROBYEV Anton | 74 |
| 7 | VASYLYUK Andriy | 65 |
| 44 | TATARINOV Gennadiy | 67 |
| 48 | NIKOLAEV Sergey | 66 |
| 49 | ZAKHAROV Artyom | 70 |
| 76 | PREVAR Oleksandr | 64 |
| 78 | BOEV Igor | 74 |