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 = 11.7 * weight - 684
This means that on average for every extra kilogram weight a rider loses 11.7 positions in the result.
Matoušek
2
82 kgSzozda
3
68 kgLikhachov
5
73 kgMoravec
6
74 kgKühn
9
64 kgMytnik
990
75 kg
2
82 kgSzozda
3
68 kgLikhachov
5
73 kgMoravec
6
74 kgKühn
9
64 kgMytnik
990
75 kg
Weight (KG) →
Result →
82
64
2
990
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MATOUŠEK Petr | 82 |
| 3 | SZOZDA Stanisław | 68 |
| 5 | LIKHACHOV Valery | 73 |
| 6 | MORAVEC Vlastimil | 74 |
| 9 | KÜHN Wolfram | 64 |
| 990 | MYTNIK Tadeusz | 75 |