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 = 0.6 * weight - 33
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRANDT Christophe | 66 |
| 3 | STREEL Marc | 69 |
| 5 | SCHEIRLINCKX Bert | 67 |
| 6 | LEUKEMANS Björn | 67 |
| 7 | MUSEEUW Johan | 71 |
| 8 | PLANCKAERT Jo | 70 |
| 9 | VAN PETEGEM Peter | 70 |
| 11 | FINOT Frédéric | 65 |
| 12 | VAN GOOLEN Jurgen | 70 |
| 17 | VESTØL Bjørnar | 85 |