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 = 0.4 * weight - 23
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GROENEWEGEN Dylan | 70 |
| 2 | ENGER Sondre Holst | 69 |
| 3 | ABERASTURI Jon | 69 |
| 4 | VANSPEYBROUCK Pieter | 76 |
| 6 | DELTOMBE Kevin | 66 |
| 7 | MEIJERS Jeroen | 68 |
| 8 | BANASZEK Alan | 75 |
| 9 | ŠIŠKEVIČIUS Evaldas | 80 |
| 12 | YSSAAD Yannis | 69 |
| 13 | WARLOP Jordi | 71 |
| 14 | VANGSTAD Andreas | 70 |
| 15 | MAS Lluís | 69 |
| 17 | LARSEN Niklas | 74 |
| 19 | PORSEV Alexander | 80 |