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 - 16
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Lebas
2
65 kgShimizu
3
60 kgAït El Abdia
4
66 kgChaabane
6
70 kgMonier
7
75 kgMansouri
9
66 kgGhebreigzabhier
13
68 kg
2
65 kgShimizu
3
60 kgAït El Abdia
4
66 kgChaabane
6
70 kgMonier
7
75 kgMansouri
9
66 kgGhebreigzabhier
13
68 kg
Weight (KG) →
Result →
75
60
2
13
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LEBAS Thomas | 65 |
| 3 | SHIMIZU Miyataka | 60 |
| 4 | AÏT EL ABDIA Anass | 66 |
| 6 | CHAABANE Hichem | 70 |
| 7 | MONIER Damien | 75 |
| 9 | MANSOURI Abderrahmane | 66 |
| 13 | GHEBREIGZABHIER Amanuel | 68 |