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 = -0.4 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GONTCHENKOV Alexander | 74 |
| 2 | OLANO Abraham | 70 |
| 3 | REBELLIN Davide | 63 |
| 4 | GUERINI Giuseppe | 65 |
| 5 | GIANETTI Mauro | 62 |
| 6 | RICHARD Pascal | 67 |
| 7 | ZBERG Beat | 72 |
| 8 | BERZIN Evgeni | 64 |
| 10 | NOÈ Andrea | 65 |
| 11 | BELTRÁN Manuel | 60 |
| 12 | UGRUMOV Piotr | 58 |
| 13 | GOTTI Ivan | 65 |
| 15 | HEULOT Stéphane | 69 |