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 = 0.4 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Galedo
2
58 kgLebas
3
65 kgZemlyakov
5
70 kgAskari
7
73 kgSohrabi
8
69 kg
2
58 kgLebas
3
65 kgZemlyakov
5
70 kgAskari
7
73 kgSohrabi
8
69 kg
Weight (KG) →
Result →
73
58
2
8
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GALEDO Mark John Lexer | 58 |
| 3 | LEBAS Thomas | 65 |
| 5 | ZEMLYAKOV Oleg | 70 |
| 7 | ASKARI Hossein | 73 |
| 8 | SOHRABI Mehdi | 69 |