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 = 1.9 * weight - 97
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
Akanga
5
67 kgSolomon
8
66 kgLagab
17
63 kgClain
37
59 kgDevroye
63
78 kg
5
67 kgSolomon
8
66 kgLagab
17
63 kgClain
37
59 kgDevroye
63
78 kg
Weight (KG) →
Result →
78
59
5
63
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | AKANGA Abdou Raouf | 67 |
| 8 | SOLOMON Zemenfes | 66 |
| 17 | LAGAB Azzedine | 63 |
| 37 | CLAIN Médéric | 59 |
| 63 | DEVROYE Kim | 78 |