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 + 35
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Gruzdev
1
78 kgChzhan
2
71 kgBrussenskiy
3
64 kgKuzmin
4
66 kgVinokurov
5
65 kgMarukhin
7
64 kgLuchshenko
11
63 kg
1
78 kgChzhan
2
71 kgBrussenskiy
3
64 kgKuzmin
4
66 kgVinokurov
5
65 kgMarukhin
7
64 kgLuchshenko
11
63 kg
Weight (KG) →
Result →
78
63
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GRUZDEV Dmitriy | 78 |
| 2 | CHZHAN Igor | 71 |
| 3 | BRUSSENSKIY Gleb | 64 |
| 4 | KUZMIN Anton | 66 |
| 5 | VINOKUROV Nicolas | 65 |
| 7 | MARUKHIN Daniil | 64 |
| 11 | LUCHSHENKO Sergey | 63 |