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 = -1.4 * weight + 111
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Opie
1
73 kgLampier
3
68 kgKal
4
72 kgHasnaoui
7
80 kgBelgasem
10
68 kgSayar
15
64 kgHaddi
40
63 kg
1
73 kgLampier
3
68 kgKal
4
72 kgHasnaoui
7
80 kgBelgasem
10
68 kgSayar
15
64 kgHaddi
40
63 kg
Weight (KG) →
Result →
80
63
1
40
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | OPIE Chris | 73 |
| 3 | LAMPIER Steven | 68 |
| 4 | KAL Miraç | 72 |
| 7 | HASNAOUI Maher | 80 |
| 10 | BELGASEM Ahmed Youssef | 68 |
| 15 | SAYAR Mustafa | 64 |
| 40 | HADDI Soufiane | 63 |