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 = -0.8 * weight + 73
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | BROWN Graeme Allen | 76 |
4 | O'GRADY Stuart | 73 |
5 | LUDEWIG Jörg | 75 |
6 | HUNDERTMARCK Kai | 72 |
7 | DAVIS Allan | 73 |
8 | SACCHI Fabio | 68 |
11 | ROGERS Michael | 74 |
13 | ROBERTS Luke | 71 |
17 | HONDO Danilo | 73 |
18 | SWEET Jay | 69 |
19 | DAY Benjamin | 68 |
20 | GONO Marcel | 69 |
21 | PIIL Jakob Storm | 65 |
22 | NARDELLO Daniele | 74 |
24 | JENNER Christopher | 68 |
25 | PAOLINI Luca | 66 |
26 | MÄNDOJA Innar | 69 |
27 | MORIN Anthony | 79 |