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 - 32
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | INDURÁIN Miguel | 76 |
| 2 | FIGNON Laurent | 67 |
| 4 | ARGENTIN Moreno | 66 |
| 7 | JALABERT Laurent | 66 |
| 10 | ROCHE Stephen | 74 |
| 11 | CHIAPPUCCI Claudio | 67 |
| 17 | BÖLTS Udo | 73 |
| 20 | DERNIES Michel | 75 |