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 + 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KELLY Sean | 77 |
| 5 | LEMOND Greg | 67 |
| 8 | EARLEY Martin | 62 |
| 9 | SCHEPERS Eddy | 60 |
| 14 | WINNEN Peter | 60 |
| 19 | MADIOT Marc | 68 |
| 30 | CHIAPPUCCI Claudio | 67 |
| 31 | DUCLOS-LASSALLE Gilbert | 73 |