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 = -0.3 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Kvasina
3
72 kgRutkiewicz
4
66 kgSchillinger
5
72 kgGiunti
7
62 kgKrupa
10
74 kgBodnar
13
68 kgRomanik
14
62 kg
3
72 kgRutkiewicz
4
66 kgSchillinger
5
72 kgGiunti
7
62 kgKrupa
10
74 kgBodnar
13
68 kgRomanik
14
62 kg
Weight (KG) →
Result →
74
62
3
14
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | KVASINA Matija | 72 |
| 4 | RUTKIEWICZ Marek | 66 |
| 5 | SCHILLINGER Andreas | 72 |
| 7 | GIUNTI Massimo | 62 |
| 10 | KRUPA Dawid | 74 |
| 13 | BODNAR Łukasz | 68 |
| 14 | ROMANIK Radosław | 62 |