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 = -0.9 * weight + 80
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Chaoufi
1
65 kgKüçükbay
14
70 kgBelgasem
15
68 kgLahsaini
19
77 kgAït El Abdia
22
66 kgHristov
40
57 kg
1
65 kgKüçükbay
14
70 kgBelgasem
15
68 kgLahsaini
19
77 kgAït El Abdia
22
66 kgHristov
40
57 kg
Weight (KG) →
Result →
77
57
1
40
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHAOUFI Tarik | 65 |
| 14 | KÜÇÜKBAY Kemal | 70 |
| 15 | BELGASEM Ahmed Youssef | 68 |
| 19 | LAHSAINI Mouhssine | 77 |
| 22 | AÏT EL ABDIA Anass | 66 |
| 40 | HRISTOV Stefan Koychev | 57 |