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 = -0.5 * weight + 43
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Rogina
2
70 kgSagan
3
78 kgMahorič
5
68 kgGruzdev
12
78 kgMahďar
14
61 kgShushemoin
18
62 kg
2
70 kgSagan
3
78 kgMahorič
5
68 kgGruzdev
12
78 kgMahďar
14
61 kgShushemoin
18
62 kg
Weight (KG) →
Result →
78
61
2
18
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ROGINA Radoslav | 70 |
| 3 | SAGAN Peter | 78 |
| 5 | MAHORIČ Mitja | 68 |
| 12 | GRUZDEV Dmitriy | 78 |
| 14 | MAHĎAR Martin | 61 |
| 18 | SHUSHEMOIN Alexandr | 62 |