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 * weight + 9
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCARPONI Michele | 62 |
| 3 | IVANOV Ruslan | 71 |
| 4 | MARZOLI Ruggero | 61 |
| 5 | DAVIS Scott | 60 |
| 7 | LUNGHI Denis | 61 |
| 8 | MASCIARELLI Andrea | 61 |
| 10 | VANOTTI Alessandro | 70 |
| 11 | MAZZOLENI Eddy | 67 |
| 12 | BOŽIČ Borut | 70 |
| 16 | PIETROPOLLI Daniele | 61 |
| 17 | MURN Uroš | 70 |
| 19 | BOSSONI Paolo | 62 |
| 21 | LAVERDE Luis Felipe | 63 |
| 25 | BONČA Valter | 63 |