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 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | CIOLEK Gerald | 75 |
2 | RADOCHLA Steffen | 70 |
4 | BALDATO Fabio | 60 |
6 | LEUKEMANS Björn | 67 |
7 | VIGANÒ Davide | 67 |
10 | DE SCHROODER Benny | 61 |
11 | VAN DE WALLE Jurgen | 74 |
12 | POSSONI Morris | 56 |
13 | EIBEGGER Markus | 68 |
14 | ZANOTTI Marco | 70 |
17 | CAETHOVEN Steven | 67 |
20 | MEERSMAN Gianni | 63 |
21 | COENEN Johan | 67 |
22 | STUBBE Tom | 66 |
23 | GAJEK Artur | 74 |