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 = -0.1 * weight + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HEULOT Stéphane | 69 |
| 3 | CASAGRANDE Francesco | 64 |
| 4 | REBELLIN Davide | 63 |
| 5 | ARRIETA José Luis | 68 |
| 6 | BOOGERD Michael | 62 |
| 7 | DUFAUX Laurent | 60 |
| 9 | JALABERT Laurent | 66 |
| 10 | CHIAPPUCCI Claudio | 67 |