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 = -1.1 * weight + 104
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | NAIBO Carl | 62 |
| 5 | BURGHARDT Marcus | 75 |
| 8 | BELKOV Maxim | 71 |
| 9 | GRIVKO Andrey | 70 |
| 10 | VELITS Peter | 63 |
| 15 | RICHEZE Maximiliano | 68 |
| 19 | VISCONTI Giovanni | 63 |
| 20 | SULZBERGER Bernard | 67 |
| 58 | SCOGNAMIGLIO Carlo | 67 |
| 59 | PRONI Alessandro | 68 |
| 61 | POZZOVIVO Domenico | 53 |
| 62 | KEMPS Aaron | 73 |
| 81 | NIBALI Vincenzo | 65 |