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 - 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NORDHAUG Lars Petter | 63 |
| 2 | JENSEN August | 67 |
| 3 | MARTENS Paul | 69 |
| 5 | BYSTRØM Sven Erik | 73 |
| 7 | KRITSKIY Timofey | 81 |
| 8 | VAN HECKE Preben | 69 |
| 9 | VANMARCKE Sep | 77 |
| 11 | HALLER Marco | 72 |
| 12 | LUDVIGSSON Tobias | 76 |
| 13 | CAMMAERTS Edwig | 74 |
| 15 | HUREL Tony | 66 |
| 17 | HELVEN Sander | 74 |
| 20 | VERHELST Louis | 71 |
| 21 | KOHLER Martin | 69 |
| 22 | BELL Zach | 75 |