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 - 26
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Clain
8
59 kgSolomon
12
66 kgLagab
24
63 kgDevroye
25
78 kgAkanga
55
67 kg
8
59 kgSolomon
12
66 kgLagab
24
63 kgDevroye
25
78 kgAkanga
55
67 kg
Weight (KG) →
Result →
78
59
8
55
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | CLAIN Médéric | 59 |
| 12 | SOLOMON Zemenfes | 66 |
| 24 | LAGAB Azzedine | 63 |
| 25 | DEVROYE Kim | 78 |
| 55 | AKANGA Abdou Raouf | 67 |