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 - 1
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Clain
6
59 kgSolomon
11
66 kgDevroye
20
78 kgAkanga
32
67 kgLagab
34
63 kg
6
59 kgSolomon
11
66 kgDevroye
20
78 kgAkanga
32
67 kgLagab
34
63 kg
Weight (KG) →
Result →
78
59
6
34
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | CLAIN Médéric | 59 |
| 11 | SOLOMON Zemenfes | 66 |
| 20 | DEVROYE Kim | 78 |
| 32 | AKANGA Abdou Raouf | 67 |
| 34 | LAGAB Azzedine | 63 |