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 = -0.3 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Pikkuus
1
76 kgMytnik
2
75 kgOsokin
3
73 kgDrogan
5
69 kgLauke
6
73 kgSchmeisser
7
69 kgHartnick
8
76 kg
1
76 kgMytnik
2
75 kgOsokin
3
73 kgDrogan
5
69 kgLauke
6
73 kgSchmeisser
7
69 kgHartnick
8
76 kg
Weight (KG) →
Result →
76
69
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PIKKUUS Aavo | 76 |
| 2 | MYTNIK Tadeusz | 75 |
| 3 | OSOKIN Vladimir | 73 |
| 5 | DROGAN Bernd | 69 |
| 6 | LAUKE Gerhard | 73 |
| 7 | SCHMEISSER Siegbert | 69 |
| 8 | HARTNICK Hans-Joachim | 76 |