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 = 0.3 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DUPONT Timothy | 72 |
| 2 | PERSICO Davide | 65 |
| 3 | WANG Gustav | 70 |
| 4 | MARCHAND Gianni | 61 |
| 5 | VINOKUROV Nicolas | 65 |
| 6 | RAJOVIĆ Dušan | 74 |
| 7 | ROMELE Alessandro | 71 |
| 10 | HANSEN Alexander Arnt | 68 |
| 11 | MARUKHIN Daniil | 64 |
| 12 | KUZMIN Anton | 66 |
| 13 | KHALMURATOV Muradjan | 68 |
| 15 | BOSCARO Davide | 77 |
| 17 | GIDICH Yevgeniy | 69 |
| 18 | ZANGERLE Emanuel | 68 |
| 19 | NAKKEN Tobias Risan | 72 |