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 = -0.2 * weight + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
2 | ANDERSEN Sander | 56 |
3 | VANHOOF Ward | 75 |
4 | CHRÉTIEN Charles-Étienne | 65 |
5 | VAN TRICHT Stan | 64 |
7 | HOOLE Daan | 81 |
9 | VAN DER TUUK Danny | 64 |
13 | BONNEU Kamiel | 62 |
15 | GARCÍA PIERNA Carlos | 58 |
19 | SANKMANN Joosep | 64 |
21 | FREHEN Jeremy | 66 |