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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Schmeisser
1
69 kgKlasa
2
79 kgKonečný
4
75 kgPikkuus
5
76 kgSzozda
6
68 kgAverin
9
69 kg
1
69 kgKlasa
2
79 kgKonečný
4
75 kgPikkuus
5
76 kgSzozda
6
68 kgAverin
9
69 kg
Weight (KG) →
Result →
79
68
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHMEISSER Siegbert | 69 |
| 2 | KLASA Michal | 79 |
| 4 | KONEČNÝ Vlastibor | 75 |
| 5 | PIKKUUS Aavo | 76 |
| 6 | SZOZDA Stanisław | 68 |
| 9 | AVERIN Alexandre | 69 |