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 + 43
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | RUFFONI Nicola | 70 |
4 | COLONNA Paolo | 65 |
5 | SIMION Paolo | 79 |
7 | THEUNS Edward | 72 |
11 | ROVNY Ivan | 62 |
12 | DAL COL Andrea | 80 |
13 | LOCATELLI Paolo | 83 |
17 | POLANC Jan | 62 |
23 | ZOIDL Riccardo | 63 |
26 | ORRICO Davide | 70 |
28 | KVASINA Matija | 72 |
30 | PIBERNIK Luka | 60 |