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 - 26
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEKKER Erik | 66 |
| 2 | CORVERS Frank | 77 |
| 3 | VAN BON Léon | 72 |
| 4 | SUNDERLAND Scott | 65 |
| 5 | WAUTERS Marc | 73 |
| 10 | STEELS Tom | 73 |
| 15 | DE CLERCQ Hans | 80 |
| 16 | PIZIKS Arvis | 70 |
| 18 | VERHEYEN Geert | 68 |
| 23 | BÖLTS Udo | 73 |
| 24 | THIJS Erwin | 69 |
| 26 | AERTS Mario | 68 |
| 35 | VAN LANCKER Kurt | 67 |
| 38 | KOERTS Jans | 78 |
| 39 | OMLOOP Geert | 78 |