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 * weight + 5
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Hondo
1
73 kgTrenti
2
68 kgRiis
4
71 kgWadecki
5
70 kgMcRae
7
62 kgWesemann
9
72 kgBenčík
10
73 kg
1
73 kgTrenti
2
68 kgRiis
4
71 kgWadecki
5
70 kgMcRae
7
62 kgWesemann
9
72 kgBenčík
10
73 kg
Weight (KG) →
Result →
73
62
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HONDO Danilo | 73 |
| 2 | TRENTI Guido | 68 |
| 4 | RIIS Bjarne | 71 |
| 5 | WADECKI Piotr | 70 |
| 7 | MCRAE William Chann | 62 |
| 9 | WESEMANN Steffen | 72 |
| 10 | BENČÍK Petr | 73 |