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 + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Klasa
5
79 kgSchmeisser
6
69 kgPikkuus
7
76 kgAverin
8
69 kgVasile
9
66 kg
5
79 kgSchmeisser
6
69 kgPikkuus
7
76 kgAverin
8
69 kgVasile
9
66 kg
Weight (KG) →
Result →
79
66
5
9
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | KLASA Michal | 79 |
| 6 | SCHMEISSER Siegbert | 69 |
| 7 | PIKKUUS Aavo | 76 |
| 8 | AVERIN Alexandre | 69 |
| 9 | VASILE Teodor | 66 |