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 = 0.2 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Broniš
3
74 kgRomanik
4
62 kgRutkiewicz
5
66 kgZamana
9
74 kgTybor
10
72 kg
3
74 kgRomanik
4
62 kgRutkiewicz
5
66 kgZamana
9
74 kgTybor
10
72 kg
Weight (KG) →
Result →
74
62
3
10
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BRONIŠ Roman | 74 |
| 4 | ROMANIK Radosław | 62 |
| 5 | RUTKIEWICZ Marek | 66 |
| 9 | ZAMANA Cezary | 74 |
| 10 | TYBOR Patrik | 72 |