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 = 1.2 * weight - 61
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | OOSTLANDER Sander | 78 |
| 2 | KUSZTOR Péter | 61 |
| 3 | GERGANOV Evgeni | 60 |
| 6 | TYBOR Patrik | 72 |
| 9 | SAGAN Juraj | 65 |
| 10 | SZEGHALMI Balint | 66 |
| 12 | PÖLL Stefan | 60 |
| 14 | LOTZ Marc | 76 |
| 18 | PFINGSTEN Christoph | 69 |
| 23 | ČANECKÝ Marek | 72 |
| 30 | OJAVEE Mart | 80 |
| 48 | TOMIĆ Marko | 79 |
| 77 | JAKIN Alo | 71 |