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 = -0.5 * weight + 51
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KAŇKOVSKÝ Alois | 83 |
| 2 | CHOI Ki Ho | 59 |
| 3 | MCCANN David | 73 |
| 4 | KADLEC Milan | 70 |
| 5 | KERS Koos Jeroen | 71 |
| 7 | WANG Meiyin | 70 |
| 10 | ATZORI Umberto | 72 |
| 12 | LIU Biao | 67 |
| 23 | KHALMURATOV Muradjan | 68 |
| 24 | XU Gang | 69 |
| 25 | JIANG Kun | 71 |
| 26 | JIAO Pengda | 65 |
| 27 | FENG Chun Kai | 68 |
| 31 | SCHNAIDT Fabian | 70 |