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 = -1.3 * weight + 117
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
Opie
2
73 kgBelgasem
4
68 kgHasnaoui
21
80 kgKal
28
72 kgSayar
33
64 kgLampier
36
68 kgHaddi
45
63 kg
2
73 kgBelgasem
4
68 kgHasnaoui
21
80 kgKal
28
72 kgSayar
33
64 kgLampier
36
68 kgHaddi
45
63 kg
Weight (KG) →
Result →
80
63
2
45
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | OPIE Chris | 73 |
| 4 | BELGASEM Ahmed Youssef | 68 |
| 21 | HASNAOUI Maher | 80 |
| 28 | KAL Miraç | 72 |
| 33 | SAYAR Mustafa | 64 |
| 36 | LAMPIER Steven | 68 |
| 45 | HADDI Soufiane | 63 |