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 = 33.1 * weight - 2228
This means that on average for every extra kilogram weight a rider loses 33.1 positions in the result.
Schmeisser
1
69 kgMoravec
4
74 kgKlasa
5
79 kgDrogan
10
69 kgPikkuus
990
76 kg
1
69 kgMoravec
4
74 kgKlasa
5
79 kgDrogan
10
69 kgPikkuus
990
76 kg
Weight (KG) →
Result →
79
69
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHMEISSER Siegbert | 69 |
| 4 | MORAVEC Vlastimil | 74 |
| 5 | KLASA Michal | 79 |
| 10 | DROGAN Bernd | 69 |
| 990 | PIKKUUS Aavo | 76 |