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 + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AMBROSE Scott | 66 |
| 2 | LEBAS Thomas | 65 |
| 5 | SALEH Mohd Harrif | 70 |
| 6 | ASKARI Hossein | 73 |
| 7 | GALEDO Mark John Lexer | 58 |
| 9 | ORANZA Ronald | 67 |
| 12 | GOH Choon Huat | 54 |
| 14 | FELIPE Marcelo | 58 |
| 15 | GLASSPOOL James | 73.9 |
| 16 | MONIER Damien | 75 |
| 17 | ZEMLYAKOV Oleg | 70 |
| 18 | KOLAHDOZHAGH Amir | 60 |
| 19 | HATSUYAMA Sho | 59 |
| 20 | TSUBAKI Hiroshi | 62 |
| 23 | KAZEMI Sarai Ahad | 71 |
| 25 | JANG Chan Jae | 64 |