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 = -1 * weight + 87
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCKX Axel | 77 |
| 3 | FONDRIEST Maurizio | 70 |
| 4 | TAFI Andrea | 73 |
| 7 | NARDELLO Daniele | 74 |
| 9 | LIVINGSTON Kevin | 70 |
| 11 | JULICH Bobby | 68 |
| 15 | GUIDI Fabrizio | 73 |
| 22 | BUGNO Gianni | 68 |
| 23 | BARTOLI Michele | 65 |
| 29 | GUALDI Mirko | 68 |
| 30 | PUMAR Omar | 60 |
| 32 | GUERINI Giuseppe | 65 |
| 33 | BALDATO Fabio | 60 |
| 34 | FORNACIARI Paolo | 80 |