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 = -0.3 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GARCÍA PIERNA Raúl | 67 |
| 2 | CAMPRUBÍ Marcel | 69 |
| 4 | GLIVAR Gal | 64 |
| 5 | HOPKINS Dylan | 74 |
| 7 | VOLTR Martin | 75 |
| 10 | VYSOČAN Daniel | 71 |
| 12 | LÜHRS Luis-Joe | 66 |
| 14 | JOVANOSKI Dimitar | 68 |
| 15 | RETEGI Mikel | 64 |
| 16 | MURN Boštjan | 77 |
| 20 | HRIBAR Jernej | 60 |
| 21 | TOMŠIČ Dan Andrej | 69 |