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 = 0.2 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Vinokurov
1
65 kgBocharov
2
72 kgBulut
3
64 kgUzun
7
67 kgVinokurov
8
66 kgTroman
16
68 kg
1
65 kgBocharov
2
72 kgBulut
3
64 kgUzun
7
67 kgVinokurov
8
66 kgTroman
16
68 kg
Weight (KG) →
Result →
72
64
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VINOKUROV Nicolas | 65 |
| 2 | BOCHAROV Dmitriy | 72 |
| 3 | BULUT Samet | 64 |
| 7 | UZUN Emir | 67 |
| 8 | VINOKUROV Alexandre | 66 |
| 16 | TROMAN Vladislav | 68 |