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 = -0.8 * weight + 67
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HULSMANS Kevin | 75 |
| 2 | DEVOLDER Stijn | 72 |
| 7 | VANLANDSCHOOT James | 67 |
| 10 | BOONEN Tom | 82 |
| 13 | GARDEYN Gorik | 75 |
| 14 | MUTSAARS Ronald | 67 |
| 15 | LEUKEMANS Björn | 67 |
| 16 | KLEYNEN Steven | 72 |
| 25 | SIJMENS Nico | 69 |
| 28 | BRANDT Christophe | 66 |