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 + 34
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Mickiewicz
1
74 kgBarbosa
2
72 kgKonečný
3
67 kgSarkauskas
4
74 kgArvesen
5
74 kgRumšas
9
64 kg
1
74 kgBarbosa
2
72 kgKonečný
3
67 kgSarkauskas
4
74 kgArvesen
5
74 kgRumšas
9
64 kg
Weight (KG) →
Result →
74
64
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MICKIEWICZ Jacek | 74 |
| 2 | BARBOSA Cândido | 72 |
| 3 | KONEČNÝ Tomáš | 67 |
| 4 | SARKAUSKAS Saulius | 74 |
| 5 | ARVESEN Kurt-Asle | 74 |
| 9 | RUMŠAS Raimondas | 64 |