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 = -0.8 * weight + 75
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LEZAUN Roberto | 65 |
| 2 | SKIBBY Jesper | 70 |
| 3 | VAN DER POEL Adrie | 70 |
| 6 | SERGEANT Marc | 76 |
| 8 | ANDREU Frankie | 77 |
| 12 | SUNDERLAND Scott | 65 |
| 13 | WELTZ Johnny | 65 |
| 21 | MAURI Melchor | 68 |
| 28 | ESCARTÍN Fernando | 61 |
| 33 | MADIOT Marc | 68 |
| 34 | INDURÁIN Miguel | 76 |
| 39 | MEJIA Alvaro | 63 |
| 42 | LLACH Joaquin | 58 |
| 46 | CABELLO Francisco | 72 |