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 + 17
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Veneberg
1
75 kgRasch
2
72 kgNazon
4
68 kgŠtangelj
5
70 kgOrdowski
8
59 kgSchreck
9
76 kg
1
75 kgRasch
2
72 kgNazon
4
68 kgŠtangelj
5
70 kgOrdowski
8
59 kgSchreck
9
76 kg
Weight (KG) →
Result →
76
59
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VENEBERG Thorwald | 75 |
| 2 | RASCH Gabriel | 72 |
| 4 | NAZON Damien | 68 |
| 5 | ŠTANGELJ Gorazd | 70 |
| 8 | ORDOWSKI Volker | 59 |
| 9 | SCHRECK Stephan | 76 |