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 = -0.9 * weight + 71
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | KRIGBAUM Mathias | 79 |
2 | SCOTT Jacob | 68 |
4 | PEDERSEN Mads | 76 |
5 | KRUL Stef | 68 |
8 | LEYSEN Senne | 78 |
9 | VAN DER BEKEN Arno | 64 |
12 | PLANCKAERT Emiel | 69 |
13 | LOOIJ André | 75 |
20 | CLEPPE Nicolas | 66 |
22 | HERMANS Quinten | 62 |
25 | GOOSSENS Kobe | 64 |