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 = -0.6 * weight + 50
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Zanette
2
82 kgElli
3
71 kgTafi
5
73 kgCenghialta
8
73 kgNoè
9
65 kgLoda
11
73 kgKonyshev
13
77 kgTotschnig
20
62 kg
2
82 kgElli
3
71 kgTafi
5
73 kgCenghialta
8
73 kgNoè
9
65 kgLoda
11
73 kgKonyshev
13
77 kgTotschnig
20
62 kg
Weight (KG) →
Result →
82
62
2
20
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ZANETTE Denis | 82 |
| 3 | ELLI Alberto | 71 |
| 5 | TAFI Andrea | 73 |
| 8 | CENGHIALTA Bruno | 73 |
| 9 | NOÈ Andrea | 65 |
| 11 | LODA Nicola | 73 |
| 13 | KONYSHEV Dmitry | 77 |
| 20 | TOTSCHNIG Georg | 62 |