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 + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CIPOLLINI Mario | 77 |
| 3 | BAFFI Adriano | 70 |
| 4 | STRAZZER Massimo | 68 |
| 6 | BORTOLAMI Gianluca | 73 |
| 7 | VAN DER POEL Adrie | 70 |
| 9 | MARTINELLO Silvio | 71 |
| 10 | LILHOLT Søren | 72 |
| 11 | SIMON François | 70 |
| 14 | ANDREU Frankie | 77 |
| 15 | FONTANELLI Fabiano | 68 |