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 = -0.2 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Traksel
1
72 kgGruzdev
7
78 kgDrancourt
12
68 kgCommeyne
21
70 kgvan Vooren
25
75 kg
1
72 kgGruzdev
7
78 kgDrancourt
12
68 kgCommeyne
21
70 kgvan Vooren
25
75 kg
Weight (KG) →
Result →
78
68
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TRAKSEL Bobbie | 72 |
| 7 | GRUZDEV Dmitriy | 78 |
| 12 | DRANCOURT Pierre | 68 |
| 21 | COMMEYNE Davy | 70 |
| 25 | VAN VOOREN Steven | 75 |