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 + 51
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MATTHEWS Michael | 72 |
| 2 | VAN AVERMAET Greg | 74 |
| 4 | STUYVEN Jasper | 78 |
| 5 | REIJNEN Kiel | 63 |
| 6 | JONES Chris | 64 |
| 8 | HEPBURN Michael | 77 |
| 10 | KOCH Michel | 69 |
| 13 | BAZZANA Alessandro | 63.5 |
| 14 | BEYER Chad | 63 |
| 16 | ȚVETCOV Serghei | 69 |
| 17 | RODRIGUEZ Fred | 68 |
| 18 | JENKINS Max | 63 |
| 19 | MACHADO Tiago | 63 |
| 20 | LOUDER Jeff | 73 |
| 21 | ACEVEDO Janier | 63 |