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 + 10
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | CAETHOVEN Steven | 67 |
2 | DE WAELE Bert | 71 |
3 | GARDEYN Gorik | 75 |
5 | O'LOUGHLIN David | 68 |
6 | HOSTE Leif | 80 |
7 | RENDERS Sven | 63 |
8 | CAPELLE Ludovic | 75 |
9 | VAN IMPE Kevin | 75 |
10 | HOVELIJNCK Kurt | 75 |
11 | DE CLERCQ Hans | 80 |
12 | LEUKEMANS Björn | 67 |
14 | CAPPELLE Andy | 71 |
16 | BLACKGROVE Heath | 65 |
18 | VERVECKEN Erwin | 78 |
20 | VERHEYEN Geert | 68 |