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 = 0.4 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAFFI Adriano | 70 |
| 2 | SARONNI Giuseppe | 65 |
| 4 | SØRENSEN Rolf | 70 |
| 5 | FIGNON Laurent | 67 |
| 9 | CAROLI Daniele | 77 |
| 15 | ELLI Alberto | 71 |
| 16 | VAN DER POEL Adrie | 70 |
| 21 | GIANETTI Mauro | 62 |
| 23 | BAUER Steve | 72 |
| 27 | VANDERAERDEN Eric | 74 |