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 = 1.1 * weight - 50
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Solomon
1
66 kgClain
13
59 kgLagab
31
63 kgDevroye
37
78 kgAkanga
44
67 kg
1
66 kgClain
13
59 kgLagab
31
63 kgDevroye
37
78 kgAkanga
44
67 kg
Weight (KG) →
Result →
78
59
1
44
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOLOMON Zemenfes | 66 |
| 13 | CLAIN Médéric | 59 |
| 31 | LAGAB Azzedine | 63 |
| 37 | DEVROYE Kim | 78 |
| 44 | AKANGA Abdou Raouf | 67 |