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 - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | BETTINI Paolo | 58 |
2 | GLOMSER Gerrit | 67 |
3 | REBELLIN Davide | 63 |
4 | ROELS Dominik | 75 |
5 | CARUSO Giampaolo | 60 |
6 | NAPOLITANO Danilo | 81 |
7 | KOLOBNEV Alexandr | 64 |
8 | PIDGORNYY Ruslan | 72 |
9 | GUSEV Vladimir | 67 |
11 | EFIMKIN Alexander | 70 |
12 | VAN DEN BROECK Jurgen | 69 |
13 | HONDO Danilo | 73 |