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 - 32
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | WALTON Brian | 68 |
| 5 | LILHOLT Søren | 72 |
| 7 | ELLIOTT Malcolm | 76 |
| 9 | ARNTZ Marcel | 70 |
| 10 | KELLY Sean | 77 |
| 11 | JALABERT Laurent | 66 |
| 13 | PEETERS Wilfried | 76 |
| 17 | MOREAU Francis | 77 |
| 18 | DERNIES Michel | 75 |