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 = -0.3 * weight + 30
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Lahsaini
1
77 kgChaoufi
2
65 kgAït El Abdia
5
66 kgHristov
14
57 kgKüçükbay
24
70 kg
1
77 kgChaoufi
2
65 kgAït El Abdia
5
66 kgHristov
14
57 kgKüçükbay
24
70 kg
Weight (KG) →
Result →
77
57
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAHSAINI Mouhssine | 77 |
| 2 | CHAOUFI Tarik | 65 |
| 5 | AÏT EL ABDIA Anass | 66 |
| 14 | HRISTOV Stefan Koychev | 57 |
| 24 | KÜÇÜKBAY Kemal | 70 |