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 = -0.8 * weight + 62
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Vainšteins
4
72 kgAxelsson
5
73 kgWadecki
6
70 kgOzers
7
73 kgPiątek
8
71 kgSpruch
10
68 kg
4
72 kgAxelsson
5
73 kgWadecki
6
70 kgOzers
7
73 kgPiątek
8
71 kgSpruch
10
68 kg
Weight (KG) →
Result →
73
68
4
10
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | VAINŠTEINS Romāns | 72 |
| 5 | AXELSSON Niklas | 73 |
| 6 | WADECKI Piotr | 70 |
| 7 | OZERS Kaspars | 73 |
| 8 | PIĄTEK Zbigniew | 71 |
| 10 | SPRUCH Zbigniew | 68 |