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 = 0.3 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GOSS Matthew | 70 |
| 2 | RENSHAW Mark | 74 |
| 3 | COLLI Daniele | 73 |
| 4 | TSATEVICH Alexey | 64 |
| 5 | GUARDINI Andrea | 66 |
| 6 | PETACCHI Alessandro | 70 |
| 7 | PELUCCHI Matteo | 74 |
| 8 | BOS Theo | 77 |
| 9 | FÖRSTER Robert | 83 |
| 10 | VAN POPPEL Boy | 78 |