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 = 0.5 * weight - 32
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Rumšas
1
64 kgMcRae
2
62 kgWesemann
3
72 kgWadecki
4
70 kgRiis
6
71 kgBenčík
8
73 kgChmielewski
9
72 kg
1
64 kgMcRae
2
62 kgWesemann
3
72 kgWadecki
4
70 kgRiis
6
71 kgBenčík
8
73 kgChmielewski
9
72 kg
Weight (KG) →
Result →
73
62
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RUMŠAS Raimondas | 64 |
| 2 | MCRAE William Chann | 62 |
| 3 | WESEMANN Steffen | 72 |
| 4 | WADECKI Piotr | 70 |
| 6 | RIIS Bjarne | 71 |
| 8 | BENČÍK Petr | 73 |
| 9 | CHMIELEWSKI Piotr | 72 |