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 = 0.8 * weight - 44
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DAY Benjamin | 68 |
| 2 | COX Ryan | 62 |
| 5 | ARDILA Mauricio Alberto | 58 |
| 7 | SOUTHAM Tom | 69 |
| 10 | NOVAL Benjamín | 71 |
| 11 | RUBIERA José Luis | 69 |
| 14 | MORENO Daniel | 59 |
| 15 | SAVOLDELLI Paolo | 72 |
| 17 | HUNT Jeremy | 76 |
| 19 | ALDAG Rolf | 75 |
| 20 | VAN DEN BROECK Jurgen | 69 |
| 22 | MOERENHOUT Koos | 74 |
| 23 | DEGANO Enrico | 68 |
| 24 | PADRNOS Pavel | 81 |
| 25 | ARVESEN Kurt-Asle | 74 |
| 26 | KEMPS Aaron | 73 |