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 = -0.3 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Gerganov
2
60 kgKrupa
3
74 kgFukushima
4
62 kgTashiro
10
54 kgBonča
11
63 kg
2
60 kgKrupa
3
74 kgFukushima
4
62 kgTashiro
10
54 kgBonča
11
63 kg
Weight (KG) →
Result →
74
54
2
11
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GERGANOV Evgeni | 60 |
| 3 | KRUPA Dawid | 74 |
| 4 | FUKUSHIMA Shinichi | 62 |
| 10 | TASHIRO Yasutaka | 54 |
| 11 | BONČA Valter | 63 |