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 = -0.7 * weight + 73
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Belgasem
1
68 kgHasnaoui
11
80 kgLampier
21
68 kgKal
23
72 kgSayar
29
64 kgOpie
30
73 kgHaddi
32
63 kg
1
68 kgHasnaoui
11
80 kgLampier
21
68 kgKal
23
72 kgSayar
29
64 kgOpie
30
73 kgHaddi
32
63 kg
Weight (KG) →
Result →
80
63
1
32
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BELGASEM Ahmed Youssef | 68 |
| 11 | HASNAOUI Maher | 80 |
| 21 | LAMPIER Steven | 68 |
| 23 | KAL Miraç | 72 |
| 29 | SAYAR Mustafa | 64 |
| 30 | OPIE Chris | 73 |
| 32 | HADDI Soufiane | 63 |