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 + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Piccolo
1
64 kgRodríguez
2
67 kgHessmann
3
78 kgBallerstedt
5
76 kgVauquelin
6
69 kgMurn
10
77 kgKhatpin
17
60 kg
1
64 kgRodríguez
2
67 kgHessmann
3
78 kgBallerstedt
5
76 kgVauquelin
6
69 kgMurn
10
77 kgKhatpin
17
60 kg
Weight (KG) →
Result →
78
60
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PICCOLO Andrea | 64 |
| 2 | RODRÍGUEZ Carlos | 67 |
| 3 | HESSMANN Michel | 78 |
| 5 | BALLERSTEDT Maurice | 76 |
| 6 | VAUQUELIN Kévin | 69 |
| 10 | MURN Boštjan | 77 |
| 17 | KHATPIN Nurzhan | 60 |