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 = -0.1 * weight + 9
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Martinello
1
71 kgGuidi
3
73 kgPiccoli
4
64 kgSimon
5
70 kgNiermann
7
64 kgKjærgaard
8
74 kg
1
71 kgGuidi
3
73 kgPiccoli
4
64 kgSimon
5
70 kgNiermann
7
64 kgKjærgaard
8
74 kg
Weight (KG) →
Result →
74
64
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARTINELLO Silvio | 71 |
| 3 | GUIDI Fabrizio | 73 |
| 4 | PICCOLI Mariano | 64 |
| 5 | SIMON François | 70 |
| 7 | NIERMANN Grischa | 64 |
| 8 | KJÆRGAARD Steffen | 74 |