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 = 0.2 * weight - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AZEVEDO José Bento | 59 |
| 2 | BELOKI Joseba | 68 |
| 3 | HERAS Roberto | 59 |
| 4 | GARMENDIA Aitor | 68 |
| 5 | LÓPEZ DE MUNAIN Alberto | 65 |
| 6 | MØLLER Claus Michael | 70 |
| 7 | GONZÁLEZ DE GALDEANO Igor | 73 |
| 9 | ATIENZA Daniel | 60 |
| 10 | SHEFER Alexandre | 68 |