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 - 27
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Romanik
1
62 kgBodnar
2
68 kgHuzarski
3
69 kgTaciak
4
68 kgZamana
5
74 kgPiątek
6
71 kgKrupa
7
74 kg
1
62 kgBodnar
2
68 kgHuzarski
3
69 kgTaciak
4
68 kgZamana
5
74 kgPiątek
6
71 kgKrupa
7
74 kg
Weight (KG) →
Result →
74
62
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROMANIK Radosław | 62 |
| 2 | BODNAR Łukasz | 68 |
| 3 | HUZARSKI Bartosz | 69 |
| 4 | TACIAK Mateusz | 68 |
| 5 | ZAMANA Cezary | 74 |
| 6 | PIĄTEK Zbigniew | 71 |
| 7 | KRUPA Dawid | 74 |