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 - 35
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BENFATTO Marco | 71 |
| 2 | EEFTING-BLOEM Roy | 75 |
| 3 | MEIJERS Jeroen | 68 |
| 6 | GUARDINI Andrea | 66 |
| 8 | BENHAMOUDA Mehdi | 64 |
| 9 | PESSOT Alessandro | 75 |
| 10 | GIBSON Matthew | 76 |
| 11 | REGUIGUI Youcef | 69 |
| 17 | SAMOILAU Branislau | 77 |
| 18 | MCCORMICK Hayden | 72.5 |
| 20 | PAPOK Siarhei | 76 |