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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Brutt
2
70 kgSchwab
3
65 kgOroz
6
71 kgMegías
8
63 kgVelits
9
63 kgVelits
10
70 kg
2
70 kgSchwab
3
65 kgOroz
6
71 kgMegías
8
63 kgVelits
9
63 kgVelits
10
70 kg
Weight (KG) →
Result →
71
63
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BRUTT Pavel | 70 |
| 3 | SCHWAB Hubert | 65 |
| 6 | OROZ Juan José | 71 |
| 8 | MEGÍAS Javier | 63 |
| 9 | VELITS Peter | 63 |
| 10 | VELITS Martin | 70 |