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 = -0.3 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | QUAADE Rasmus | 77 |
2 | FUGLSANG Jakob | 67 |
3 | CHRISTENSEN Mads | 69 |
4 | RASMUSSEN Alex | 88 |
5 | MØRKØV Michael | 71 |
6 | MORTENSEN Martin | 70 |
7 | VANDBORG Brian Bach | 75 |
8 | SØRENSEN Chris Anker | 64 |
11 | VALGREN Michael | 71 |
12 | STEENSEN André | 65 |
15 | VINTHER Troels Rønning | 68 |
23 | MADSEN Martin Toft | 67 |
24 | KRAGH ANDERSEN Asbjørn | 72 |
29 | JUUL-JENSEN Christopher | 73 |