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 = 0.8 * weight - 48
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LELLI Massimiliano | 69 |
| 2 | FONTANELLI Fabiano | 68 |
| 3 | VAN DER POEL Adrie | 70 |
| 6 | BORTOLAMI Gianluca | 73 |
| 7 | CIPOLLINI Mario | 77 |
| 8 | MARTINELLO Silvio | 71 |
| 9 | SIMON François | 70 |
| 12 | KONYSHEV Dmitry | 77 |
| 13 | BAUER Steve | 72 |