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 + 34
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GREIPEL André | 80 |
| 2 | PETACCHI Alessandro | 70 |
| 3 | HUTAROVICH Yauheni | 71 |
| 4 | SABATINI Fabio | 74 |
| 5 | BENNATI Daniele | 71 |
| 6 | KOHLER Martin | 69 |
| 7 | SUTTON Chris | 67 |
| 8 | CANTWELL Jonathan | 69 |
| 9 | FLORENCIO Xavier | 59 |
| 10 | RENSHAW Mark | 74 |
| 11 | BELLETTI Manuel | 72 |
| 12 | DENNIS Rohan | 72 |
| 13 | VORGANOV Eduard | 65 |
| 14 | PAVARIN Marcello | 68 |