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 = -0.1 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRUNEL Alexys | 70 |
| 2 | COSNEFROY Benoît | 65 |
| 3 | PLANCKAERT Edward | 71 |
| 4 | KIRSCH Alex | 78 |
| 5 | GENIETS Kevin | 73 |
| 6 | THWAITES Scott | 71 |
| 7 | VAN HOECKE Gijs | 78 |
| 8 | CALMEJANE Lilian | 70 |
| 9 | VICHOT Arthur | 74 |
| 10 | MAURELET Flavien | 56 |
| 11 | THOMAS Benjamin | 68 |
| 12 | BOUDAT Thomas | 70 |
| 13 | LANGEVELD Sebastian | 67 |
| 14 | VENTURINI Clément | 60 |
| 15 | VAN DEN BERG Julius | 78 |