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 = 0.5 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Belgasem
3
68 kgHasnaoui
10
80 kgSayar
14
64 kgLampier
15
68 kgHaddi
16
63 kgKal
27
72 kgOpie
45
73 kg
3
68 kgHasnaoui
10
80 kgSayar
14
64 kgLampier
15
68 kgHaddi
16
63 kgKal
27
72 kgOpie
45
73 kg
Weight (KG) →
Result →
80
63
3
45
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BELGASEM Ahmed Youssef | 68 |
| 10 | HASNAOUI Maher | 80 |
| 14 | SAYAR Mustafa | 64 |
| 15 | LAMPIER Steven | 68 |
| 16 | HADDI Soufiane | 63 |
| 27 | KAL Miraç | 72 |
| 45 | OPIE Chris | 73 |