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 + 31
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Fedorov
1
80 kgKuzmin
3
66 kgChzhan
4
71 kgVinokurov
5
65 kgMarukhin
6
64 kgPronskiy
8
58 kgSlamzhanov
14
64 kg
1
80 kgKuzmin
3
66 kgChzhan
4
71 kgVinokurov
5
65 kgMarukhin
6
64 kgPronskiy
8
58 kgSlamzhanov
14
64 kg
Weight (KG) →
Result →
80
58
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FEDOROV Yevgeniy | 80 |
| 3 | KUZMIN Anton | 66 |
| 4 | CHZHAN Igor | 71 |
| 5 | VINOKUROV Nicolas | 65 |
| 6 | MARUKHIN Daniil | 64 |
| 8 | PRONSKIY Vadim | 58 |
| 14 | SLAMZHANOV Orken | 64 |