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 - 17
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PŘIDAL Tomáš | 66 |
| 2 | KELLEY Garin | 68 |
| 6 | MILITELLO Jacopo | 60 |
| 7 | ARVANITOU Nikiforos | 71 |
| 10 | RIŠKA Richard | 70 |
| 12 | ZANINI Simone | 62 |
| 16 | BENTAL Aviv | 57 |
| 18 | AVONDTS Mathis | 62 |
| 19 | MCKENZIE Hamish | 70 |
| 20 | MRÁZ Daniel | 66 |
| 21 | DELLE VEDOVE Alessio | 73 |
| 22 | POMORSKI Michał | 76 |
| 24 | DUBA Maxime | 85 |
| 26 | BASSET Pierre-Henry | 69 |