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 = 0.7 * weight - 41
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Ghebreigzabhier
1
68 kgShimizu
2
60 kgAït El Abdia
7
66 kgLebas
8
65 kgChaabane
9
70 kgMansouri
11
66 kgMonier
15
75 kg
1
68 kgShimizu
2
60 kgAït El Abdia
7
66 kgLebas
8
65 kgChaabane
9
70 kgMansouri
11
66 kgMonier
15
75 kg
Weight (KG) →
Result →
75
60
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GHEBREIGZABHIER Amanuel | 68 |
| 2 | SHIMIZU Miyataka | 60 |
| 7 | AÏT EL ABDIA Anass | 66 |
| 8 | LEBAS Thomas | 65 |
| 9 | CHAABANE Hichem | 70 |
| 11 | MANSOURI Abderrahmane | 66 |
| 15 | MONIER Damien | 75 |