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 - 18
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CLARKE Simon | 63 |
| 3 | CAPECCHI Eros | 65 |
| 5 | DOCKER Mitchell | 73 |
| 7 | JÉRÔME Vincent | 65 |
| 8 | ROJAS José Joaquín | 70 |
| 9 | TANNER David | 70 |
| 11 | GOSS Matthew | 70 |
| 12 | SABATINI Fabio | 74 |
| 13 | SULZBERGER Wesley | 65 |
| 14 | CLARKE Jonathan | 68 |