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 = 26.4 * weight - 1790
This means that on average for every extra kilogram weight a rider loses 26.4 positions in the result.
Moravec
1
74 kgChaplygin
3
80 kgOsokin
4
73 kgLauke
9
73 kgDrogan
10
69 kgPikkuus
990
76 kg
1
74 kgChaplygin
3
80 kgOsokin
4
73 kgLauke
9
73 kgDrogan
10
69 kgPikkuus
990
76 kg
Weight (KG) →
Result →
80
69
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MORAVEC Vlastimil | 74 |
| 3 | CHAPLYGIN Valery | 80 |
| 4 | OSOKIN Vladimir | 73 |
| 9 | LAUKE Gerhard | 73 |
| 10 | DROGAN Bernd | 69 |
| 990 | PIKKUUS Aavo | 76 |