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 = -0.1 * weight + 9
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Pikkuus
1
76 kgAverin
2
69 kgKlasa
3
79 kgSchmeisser
4
69 kgVasile
6
66 kgKonečný
10
75 kg
1
76 kgAverin
2
69 kgKlasa
3
79 kgSchmeisser
4
69 kgVasile
6
66 kgKonečný
10
75 kg
Weight (KG) →
Result →
79
66
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PIKKUUS Aavo | 76 |
| 2 | AVERIN Alexandre | 69 |
| 3 | KLASA Michal | 79 |
| 4 | SCHMEISSER Siegbert | 69 |
| 6 | VASILE Teodor | 66 |
| 10 | KONEČNÝ Vlastibor | 75 |