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 = -1.1 * weight + 146
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
8 | KRUPA Dawid | 74 |
20 | CHMIELEWSKI Piotr | 72 |
28 | RETSCHKE Robert | 66 |
34 | CURVERS Roy | 73 |
36 | VELITS Peter | 63 |
57 | RIŠKA Martin | 73 |
64 | RABOŇ František | 74 |
67 | PRZYDZIAŁ Piotr | 80 |
76 | KOHUT Sławomir | 65 |
83 | ROMANIK Radosław | 62 |
84 | VELITS Martin | 70 |
91 | HOOGERLAND Johnny | 65 |
93 | HRAZDIRA Michal | 77 |
96 | NAGY Robert | 52 |
98 | BROŻYNA Tomasz | 65 |
101 | ABASS Mahmoud | 65 |
104 | BÁRTA Jan | 75 |