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 - 6
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MILÁN Diego | 67 |
| 3 | TORRENT Carlos | 71 |
| 6 | IGNATIEV Mikhail | 67 |
| 7 | GASPARRE Graziano | 60 |
| 10 | AGIRRE Josu | 68 |
| 16 | BRUTT Pavel | 70 |
| 19 | KLIMOV Sergey | 69 |
| 25 | HERRADA José | 65 |
| 31 | KIREYEV Roman | 66 |
| 38 | MORENO Javier | 63 |
| 49 | RENEV Sergey | 68 |
| 60 | ZEITS Andrey | 73 |
| 63 | TLEUBAYEV Ruslan | 70 |
| 72 | SEROV Alexander | 77 |
| 91 | LAGUNA Oscar | 61 |
| 93 | RAIMBEKOV Bolat | 66 |