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 + 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PAURIOL Rémi | 68 |
| 2 | KERN Christophe | 72 |
| 3 | CACCIA Diego | 70 |
| 4 | MALORI Adriano | 68 |
| 5 | DOI Yukihiro | 58 |
| 6 | OLIVEIRA Nelson | 67 |
| 7 | WILMANN Frederik | 69 |
| 9 | DE SEGOVIA José Antonio | 75 |
| 10 | ISAYCHEV Vladimir | 80 |
| 11 | DURÁN Arkaitz | 70 |
| 12 | BODNAR Maciej | 77 |
| 14 | SCHWAB Hubert | 65 |
| 15 | JI Cheng | 67 |
| 18 | GATTO Oscar | 67 |
| 19 | GRABOVSKYY Dmytro | 69 |