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 - 30
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Ekimov
2
69 kgCordes
5
70 kgJaskuła
6
76 kgPedersen
9
70 kgMeinert-Nielsen
13
73 kg
2
69 kgCordes
5
70 kgJaskuła
6
76 kgPedersen
9
70 kgMeinert-Nielsen
13
73 kg
Weight (KG) →
Result →
76
69
2
13
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | EKIMOV Viatcheslav | 69 |
| 5 | CORDES Tom | 70 |
| 6 | JASKUŁA Zenon | 76 |
| 9 | PEDERSEN Atle | 70 |
| 13 | MEINERT-NIELSEN Peter | 73 |