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 = -0.2 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOONEN Tom | 82 |
| 2 | GREIPEL André | 80 |
| 3 | TERPSTRA Niki | 75 |
| 4 | BOS Theo | 77 |
| 5 | AHLSTRAND Jonas | 72 |
| 6 | GUARDINI Andrea | 66 |
| 7 | VAN AVERMAET Greg | 74 |
| 8 | NAPOLITANO Danilo | 81 |
| 9 | CHICCHI Francesco | 76 |
| 10 | VAN STAEYEN Michael | 62 |
| 12 | STEEGMANS Gert | 82 |
| 13 | BAKELANTS Jan | 67 |