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 = -0.8 * weight + 87
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Devroye
12
78 kgSolomon
19
66 kgClain
25
59 kgLagab
36
63 kgAkanga
63
67 kg
12
78 kgSolomon
19
66 kgClain
25
59 kgLagab
36
63 kgAkanga
63
67 kg
Weight (KG) →
Result →
78
59
12
63
| # | Rider | Weight (KG) |
|---|---|---|
| 12 | DEVROYE Kim | 78 |
| 19 | SOLOMON Zemenfes | 66 |
| 25 | CLAIN Médéric | 59 |
| 36 | LAGAB Azzedine | 63 |
| 63 | AKANGA Abdou Raouf | 67 |