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 = 0.6 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VANTOMME Maxime | 63 |
| 2 | MERTENS Tim | 73 |
| 4 | JACOBS Pieter | 68 |
| 9 | PRATTE Philippe | 67 |
| 10 | BAKELANTS Jan | 67 |
| 13 | VANSPEYBROUCK Pieter | 76 |
| 17 | CLAEYS Dimitri | 77 |
| 21 | DUFRASNE Jonathan | 70 |
| 27 | DUPONT Timothy | 72 |
| 28 | PEETERS Kevin | 67 |