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 = -0.1 * weight + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAVENDISH Mark | 70 |
| 2 | KEMPS Aaron | 73 |
| 3 | DUQUE Leonardo Fabio | 59 |
| 4 | COOKE Baden | 75 |
| 5 | SÁNCHEZ Samuel | 65 |
| 6 | MORENO Daniel | 59 |
| 7 | EISEL Bernhard | 74 |
| 8 | BONNET William | 80 |
| 9 | DAVIS Allan | 73 |
| 10 | ARTETXE Mikel | 61 |
| 11 | DUMOULIN Samuel | 57 |
| 12 | CELESTINO Mirko | 67 |
| 13 | FLORENCIO Xavier | 59 |
| 14 | MOREAU Christophe | 71 |
| 15 | POZZATO Filippo | 73 |