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 - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOOS Alexandre | 64 |
| 2 | BEUCHAT Roger | 62 |
| 4 | GIANETTI Mauro | 62 |
| 6 | CAMENZIND Oscar | 62 |
| 7 | ZUCCONI Pietro | 63 |
| 8 | BERTOGLIATI Rubens | 73 |
| 10 | ELMIGER Martin | 73 |
| 11 | SCHNIDER Daniel | 65 |
| 12 | CANCELLARA Fabian | 80 |
| 15 | CALCAGNI Patrick | 65 |
| 16 | AEBERSOLD Niki | 58 |
| 19 | ZBERG Beat | 72 |
| 20 | ALBASINI Michael | 65 |