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 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DOCKER Mitchell | 73 |
| 2 | MCEWEN Robbie | 67 |
| 3 | GOSS Matthew | 70 |
| 4 | SWIFT Ben | 69 |
| 5 | TANNER David | 70 |
| 6 | PERGET Mathieu | 64 |
| 7 | ZAHNER Simon | 73 |
| 8 | GREIPEL André | 80 |
| 9 | MÍNGUEZ Miguel | 59 |
| 10 | CLARKE Simon | 63 |
| 11 | BROWN Graeme Allen | 76 |
| 12 | KRIVTSOV Yuriy | 72 |