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 = -0.6 * weight + 75
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
3 | SOHRABI Mehdi | 69 |
4 | ZARGARI Amir | 62 |
13 | WIJAYA Endra | 58 |
14 | PRIYA PRASETYA Heksa | 62 |
22 | MIZUROV Andrey | 68 |
25 | CHTIOUI Rafaâ | 82 |
32 | ASKARI Hossein | 73 |
33 | HASANIN Omar | 75 |
49 | NISHITANI Taiji | 62 |
50 | SAEIDI TANHA Abbas | 70 |
51 | GALEDO Mark John Lexer | 58 |
60 | MIZBANI Ghader | 67 |
82 | JAWAD Mansoor | 58 |