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 + 28
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KONOVALOVAS Ignatas | 74 |
| 2 | VANENDERT Jelle | 62 |
| 3 | HERMANS Ben | 72 |
| 4 | EL FARES Julien | 62 |
| 5 | MEERSMAN Gianni | 63 |
| 6 | SONNERY Blaise | 60 |
| 7 | ROLLAND Pierre | 70 |
| 8 | MARTIN Tony | 75 |
| 13 | GUDSELL Timothy | 77 |
| 18 | PETERSON Tom | 70 |
| 19 | MARTIN Dan | 59 |
| 23 | SENAC Jean-Charles | 63 |
| 27 | VANSPEYBROUCK Pieter | 76 |
| 34 | SEELDRAEYERS Kevin | 60 |
| 37 | LEWIS Craig | 65 |
| 38 | PFINGSTEN Christoph | 69 |