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 = -0.5 * weight + 43
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GAVAZZI Mattia | 70 |
| 2 | SUTTON Chris | 67 |
| 4 | DALL'ANTONIA Tiziano | 70 |
| 5 | GRUZDEV Dmitriy | 78 |
| 7 | VENTER Jaco | 70 |
| 8 | MUSIOL Daniel | 70 |
| 11 | CHTIOUI Rafaâ | 82 |
| 12 | SHIMIZU Miyataka | 60 |
| 14 | ARASHIRO Yukiya | 64 |
| 16 | ABAKOUMOV Igor | 68 |
| 19 | BERNAUDEAU Giovanni | 62 |
| 20 | RODRÍGUEZ Jackson | 58 |