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 = 21.2 * weight - 982
This means that on average for every extra kilogram weight a rider loses 21.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | UGRUMOV Piotr | 58 |
| 3 | KONYSHEV Dmitry | 77 |
| 4 | BRUYNEEL Johan | 71 |
| 5 | BUGNO Gianni | 68 |
| 990 | BAFFI Adriano | 70 |
| 990 | CHIAPPUCCI Claudio | 67 |
| 990 | MARTINELLO Silvio | 71 |
| 990 | CIPOLLINI Mario | 77 |