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 + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Klasa
1
79 kgSchmeisser
2
69 kgKonečný
4
75 kgPérez
5
58 kgAverin
7
69 kgVasile
9
66 kgPikkuus
10
76 kg
1
79 kgSchmeisser
2
69 kgKonečný
4
75 kgPérez
5
58 kgAverin
7
69 kgVasile
9
66 kgPikkuus
10
76 kg
Weight (KG) →
Result →
79
58
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KLASA Michal | 79 |
| 2 | SCHMEISSER Siegbert | 69 |
| 4 | KONEČNÝ Vlastibor | 75 |
| 5 | PÉREZ Jorge Antonio | 58 |
| 7 | AVERIN Alexandre | 69 |
| 9 | VASILE Teodor | 66 |
| 10 | PIKKUUS Aavo | 76 |