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 - 23
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RICHARD Pascal | 67 |
| 3 | RUÉ Gérard | 74 |
| 4 | CHIAPPUCCI Claudio | 67 |
| 11 | MADIOT Marc | 68 |
| 16 | SCIANDRI Maximilian | 75 |
| 25 | GIANETTI Mauro | 62 |
| 26 | TCHMIL Andrei | 75 |
| 29 | BRAMATI Davide | 72 |
| 30 | PAGNIN Roberto | 74 |