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 = -10.3 * weight + 985
This means that on average for every extra kilogram weight a rider loses -10.3 positions in the result.
Osokin
1
73 kgChaplygin
4
80 kgMoravec
5
74 kgKlasa
6
79 kgPikkuus
990
76 kg
1
73 kgChaplygin
4
80 kgMoravec
5
74 kgKlasa
6
79 kgPikkuus
990
76 kg
Weight (KG) →
Result →
80
73
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | OSOKIN Vladimir | 73 |
| 4 | CHAPLYGIN Valery | 80 |
| 5 | MORAVEC Vlastimil | 74 |
| 6 | KLASA Michal | 79 |
| 990 | PIKKUUS Aavo | 76 |