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 + 16
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Černý
2
75 kgPer
3
68 kgLaib
4
80 kgMonier
6
75 kgKurianov
7
74 kgKustadinchev
8
66 kg
2
75 kgPer
3
68 kgLaib
4
80 kgMonier
6
75 kgKurianov
7
74 kgKustadinchev
8
66 kg
Weight (KG) →
Result →
80
66
2
8
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ČERNÝ Josef | 75 |
| 3 | PER Gorazd | 68 |
| 4 | LAIB Simon | 80 |
| 6 | MONIER Damien | 75 |
| 7 | KURIANOV Stepan | 74 |
| 8 | KUSTADINCHEV Roman | 66 |