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 * weight + 9
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARBERO Carlos | 66 |
| 2 | LIEPIŅŠ Emīls | 67 |
| 3 | VANSPEYBROUCK Pieter | 76 |
| 4 | DAVIES Scott | 66 |
| 5 | KOCH Jonas | 75 |
| 6 | STEIMLE Jannik | 73 |
| 7 | HARDY Romain | 62 |
| 8 | BONNAMOUR Franck | 70 |
| 10 | GASPAROTTO Enrico | 65 |
| 11 | AUER Daniel | 73 |
| 12 | RITZINGER Felix | 80 |
| 13 | FEDELI Alessandro | 65 |
| 14 | PEYSKENS Dimitri | 69 |
| 15 | GAMPER Mario | 72 |
| 16 | SCHÖNBERGER Sebastian | 64 |