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 + 30
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
De Wolf
4
75 kgWampers
6
82 kgVandi
7
64 kgArgentin
9
66 kgDigerud
11
77 kgPrim
15
76 kgSegersall
21
65 kg
4
75 kgWampers
6
82 kgVandi
7
64 kgArgentin
9
66 kgDigerud
11
77 kgPrim
15
76 kgSegersall
21
65 kg
Weight (KG) →
Result →
82
64
4
21
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | DE WOLF Fons | 75 |
| 6 | WAMPERS Jean-Marie | 82 |
| 7 | VANDI Alfio | 64 |
| 9 | ARGENTIN Moreno | 66 |
| 11 | DIGERUD Geir | 77 |
| 15 | PRIM Tommy | 76 |
| 21 | SEGERSALL Alf | 65 |