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 = -0.1 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Zamana
1
74 kgHuzarski
2
69 kgRomanik
3
62 kgPiątek
5
71 kgRutkiewicz
6
66 kgRaboň
8
74 kgBrożyna
10
65 kg
1
74 kgHuzarski
2
69 kgRomanik
3
62 kgPiątek
5
71 kgRutkiewicz
6
66 kgRaboň
8
74 kgBrożyna
10
65 kg
Weight (KG) →
Result →
74
62
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZAMANA Cezary | 74 |
| 2 | HUZARSKI Bartosz | 69 |
| 3 | ROMANIK Radosław | 62 |
| 5 | PIĄTEK Zbigniew | 71 |
| 6 | RUTKIEWICZ Marek | 66 |
| 8 | RABOŇ František | 74 |
| 10 | BROŻYNA Tomasz | 65 |