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 - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHEULA Giampaolo | 62 |
| 2 | SANTAMBROGIO Mauro | 63 |
| 3 | CHRISTENSEN Bekim Leif | 66 |
| 4 | RICH Michael | 82 |
| 6 | WEISSINGER René | 74 |
| 8 | SCHUMACHER Stefan | 71 |
| 15 | VOIGT Jens | 76 |
| 16 | MARINANGELI Sergio | 65 |