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 = 26.9 * weight - 1222
This means that on average for every extra kilogram weight a rider loses 26.9 positions in the result.
Hauptman
1
70 kgKonečný
4
67 kgZamana
990
74 kgŠtangelj
990
70 kgBonča
990
63 kgSypytkowski
990
76 kg
1
70 kgKonečný
4
67 kgZamana
990
74 kgŠtangelj
990
70 kgBonča
990
63 kgSypytkowski
990
76 kg
Weight (KG) →
Result →
76
63
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAUPTMAN Andrej | 70 |
| 4 | KONEČNÝ Tomáš | 67 |
| 990 | ZAMANA Cezary | 74 |
| 990 | ŠTANGELJ Gorazd | 70 |
| 990 | BONČA Valter | 63 |
| 990 | SYPYTKOWSKI Andrzej | 76 |