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 * weight + 9
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AMBROSE Scott | 66 |
| 3 | SALEH Mohd Harrif | 70 |
| 4 | GALEDO Mark John Lexer | 58 |
| 5 | SOHRABI Mehdi | 69 |
| 6 | LEBAS Thomas | 65 |
| 7 | ORANZA Ronald | 67 |
| 11 | GOH Choon Huat | 54 |
| 13 | FELIPE Marcelo | 58 |
| 14 | ZEMLYAKOV Oleg | 70 |
| 15 | MONIER Damien | 75 |
| 17 | TSUBAKI Hiroshi | 62 |
| 18 | HATSUYAMA Sho | 59 |
| 20 | JANG Chan Jae | 64 |
| 21 | ASKARI Hossein | 73 |