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 = 0.5 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CASAGRANDE Francesco | 64 |
| 2 | RICHARD Pascal | 67 |
| 4 | PANTANI Marco | 58 |
| 6 | BARTOLI Michele | 65 |
| 9 | BUGNO Gianni | 68 |
| 11 | BORTOLAMI Gianluca | 73 |
| 13 | KONYSHEV Dmitry | 77 |
| 15 | CASARTELLI Fabio | 74 |
| 20 | BONČA Valter | 63 |
| 22 | SCIANDRI Maximilian | 75 |
| 23 | JASKUŁA Zenon | 76 |
| 24 | GIANETTI Mauro | 62 |
| 28 | GUERINI Giuseppe | 65 |
| 29 | NOÈ Andrea | 65 |
| 31 | ZANINI Stefano | 80 |