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 - 16
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SONNERY Blaise | 60 |
| 2 | HERMANS Ben | 72 |
| 3 | VANENDERT Jelle | 62 |
| 5 | KONOVALOVAS Ignatas | 74 |
| 6 | EL FARES Julien | 62 |
| 8 | QUÉMÉNEUR Perrig | 67 |
| 9 | MARTIN Dan | 59 |
| 10 | ROLLAND Pierre | 70 |
| 11 | GUDSELL Timothy | 77 |
| 13 | PETERSON Tom | 70 |
| 15 | VANSPEYBROUCK Pieter | 76 |