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 = 0.6 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Solomon
2
66 kgClain
10
59 kgAkanga
22
67 kgLagab
23
63 kgDevroye
24
78 kg
2
66 kgClain
10
59 kgAkanga
22
67 kgLagab
23
63 kgDevroye
24
78 kg
Weight (KG) →
Result →
78
59
2
24
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SOLOMON Zemenfes | 66 |
| 10 | CLAIN Médéric | 59 |
| 22 | AKANGA Abdou Raouf | 67 |
| 23 | LAGAB Azzedine | 63 |
| 24 | DEVROYE Kim | 78 |