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 = -66.8 * weight + 4637
This means that on average for every extra kilogram weight a rider loses -66.8 positions in the result.
Bocharov
1
72 kgMarukhin
2
64 kgGidich
4
69 kgVinokurov
5
65 kgNoei Dashdebi
991
62 kg
1
72 kgMarukhin
2
64 kgGidich
4
69 kgVinokurov
5
65 kgNoei Dashdebi
991
62 kg
Weight (KG) →
Result →
72
62
1
991
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOCHAROV Dmitriy | 72 |
| 2 | MARUKHIN Daniil | 64 |
| 4 | GIDICH Yevgeniy | 69 |
| 5 | VINOKUROV Nicolas | 65 |
| 991 | NOEI DASHDEBI Alireza | 62 |