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 - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BUGNO Gianni | 68 |
| 1 | BALDATO Fabio | 60 |
| 1 | REBELLIN Davide | 63 |
| 1 | SCIANDRI Maximilian | 75 |
| 2 | FONDRIEST Maurizio | 70 |
| 2 | SPRUCH Zbigniew | 68 |
| 2 | SERPELLINI Marco | 75 |
| 3 | PETITO Roberto | 78 |
| 3 | CIPOLLINI Mario | 77 |
| 5 | NOÈ Andrea | 65 |
| 5 | PEETERS Wilfried | 76 |
| 5 | MUSEEUW Johan | 71 |
| 6 | ZANINI Stefano | 80 |
| 7 | KONYSHEV Dmitry | 77 |
| 8 | MERCKX Axel | 77 |
| 8 | LIVINGSTON Kevin | 70 |