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 = -0.4 * weight + 42
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOERTS Jans | 78 |
| 3 | OMLOOP Geert | 78 |
| 4 | MOERENHOUT Koos | 74 |
| 7 | BOVEN Jan | 65 |
| 8 | CHRISTENSEN Bekim Leif | 66 |
| 10 | SCHMITZ Bram | 77 |
| 12 | ENGELS Addy | 64 |
| 14 | KROON Karsten | 67 |
| 15 | CORVERS Frank | 77 |
| 18 | STAM Danny | 64 |
| 21 | DE GROOT Bram | 65 |
| 23 | NIERMANN Grischa | 64 |
| 24 | GRABSCH Bert | 78 |