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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Baranowski
2
68 kgPadrnos
3
81 kgBrożyna
5
65 kgKonečný
6
67 kgRomanik
7
62 kgBonciucov
10
66 kg
2
68 kgPadrnos
3
81 kgBrożyna
5
65 kgKonečný
6
67 kgRomanik
7
62 kgBonciucov
10
66 kg
Weight (KG) →
Result →
81
62
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BARANOWSKI Dariusz | 68 |
| 3 | PADRNOS Pavel | 81 |
| 5 | BROŻYNA Tomasz | 65 |
| 6 | KONEČNÝ Tomáš | 67 |
| 7 | ROMANIK Radosław | 62 |
| 10 | BONCIUCOV Igor | 66 |