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 = -0.1 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | MICKIEWICZ Jacek | 74 |
2 | AUG Andrus | 83 |
3 | ROMANIK Radosław | 62 |
5 | LEUKEMANS Björn | 67 |
6 | SOSENKA Ondřej | 82 |
9 | CADAMURO Simone | 78 |
10 | PIĄTEK Zbigniew | 71 |
11 | CHMIELEWSKI Piotr | 72 |
15 | KOHUT Sławomir | 65 |
20 | PAWLAK Wojciech | 73 |
23 | NIEMIEC Przemysław | 62 |
26 | LUPEIKIS Remigius | 80 |