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 - 21
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Lagab
1
63 kgGhebreigzabhier
2
68 kgAfewerki
4
63 kgDebesay
7
64 kgChaabane
8
70 kg
1
63 kgGhebreigzabhier
2
68 kgAfewerki
4
63 kgDebesay
7
64 kgChaabane
8
70 kg
Weight (KG) →
Result →
70
63
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAGAB Azzedine | 63 |
| 2 | GHEBREIGZABHIER Amanuel | 68 |
| 4 | AFEWERKI Elyas | 63 |
| 7 | DEBESAY Mekseb | 64 |
| 8 | CHAABANE Hichem | 70 |