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 = -0.4 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Lahsaini
1
77 kgJelloul
2
58 kgBroniš
4
74 kgChaoufi
6
65 kgChaabane
9
70 kgAït El Abdia
12
66 kgSonnery
17
60 kg
1
77 kgJelloul
2
58 kgBroniš
4
74 kgChaoufi
6
65 kgChaabane
9
70 kgAït El Abdia
12
66 kgSonnery
17
60 kg
Weight (KG) →
Result →
77
58
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAHSAINI Mouhssine | 77 |
| 2 | JELLOUL Adil | 58 |
| 4 | BRONIŠ Roman | 74 |
| 6 | CHAOUFI Tarik | 65 |
| 9 | CHAABANE Hichem | 70 |
| 12 | AÏT EL ABDIA Anass | 66 |
| 17 | SONNERY Blaise | 60 |