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 = -1.3 * weight + 125
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VAN IMPE Kevin | 75 |
| 3 | BOONEN Tom | 82 |
| 5 | VAN GOOLEN Jurgen | 70 |
| 8 | KUYCKX Jan | 68 |
| 19 | COENEN Johan | 67 |
| 22 | STEEGMANS Gert | 82 |
| 39 | MERTENS Pieter | 67 |
| 42 | DE WILDE Sjef | 74 |
| 44 | ROBERTS Luke | 71 |
| 56 | VANTORNOUT Klaas | 69 |
| 60 | ABAKOUMOV Igor | 68 |
| 63 | KNOFF Michael | 74 |