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 = -3.6 * weight + 1173
This means that on average for every extra kilogram weight a rider loses -3.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FONDRIEST Maurizio | 70 |
| 990 | BARTOLI Michele | 65 |
| 990 | FORNACIARI Paolo | 80 |
| 990 | JÄRMANN Rolf | 73 |
| 990 | RICHARD Pascal | 67 |
| 990 | LELLI Massimiliano | 69 |
| 990 | BALDATO Fabio | 60 |
| 990 | PANTANI Marco | 58 |
| 990 | BÖLTS Udo | 73 |
| 990 | ELLI Alberto | 71 |
| 990 | TCHMIL Andrei | 75 |
| 990 | ZABEL Erik | 69 |
| 990 | REBELLIN Davide | 63 |
| 990 | PERON Andrea | 70 |
| 990 | ARGENTIN Moreno | 66 |
| 990 | HAMBURGER Bo | 58 |