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 + 30
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Osokin
1
73 kgPikkuus
2
76 kgMytnik
3
75 kgLauke
4
73 kgKlasa
6
79 kgSchmeisser
7
69 kgDrogan
8
69 kgDiers
10
73 kg
1
73 kgPikkuus
2
76 kgMytnik
3
75 kgLauke
4
73 kgKlasa
6
79 kgSchmeisser
7
69 kgDrogan
8
69 kgDiers
10
73 kg
Weight (KG) →
Result →
79
69
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | OSOKIN Vladimir | 73 |
| 2 | PIKKUUS Aavo | 76 |
| 3 | MYTNIK Tadeusz | 75 |
| 4 | LAUKE Gerhard | 73 |
| 6 | KLASA Michal | 79 |
| 7 | SCHMEISSER Siegbert | 69 |
| 8 | DROGAN Bernd | 69 |
| 10 | DIERS Karl-Dietrich | 73 |