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 = -0.4 * weight + 37
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Raimbekov
1
66 kgDrucker
8
75 kgBiesek
10
66 kgRolland
12
70 kgKadri
14
66 kgFrank
18
64 kg
1
66 kgDrucker
8
75 kgBiesek
10
66 kgRolland
12
70 kgKadri
14
66 kgFrank
18
64 kg
Weight (KG) →
Result →
75
64
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAIMBEKOV Bolat | 66 |
| 8 | DRUCKER Jempy | 75 |
| 10 | BIESEK Szymon | 66 |
| 12 | ROLLAND Pierre | 70 |
| 14 | KADRI Blel | 66 |
| 18 | FRANK Mathias | 64 |