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 = -0.4 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FUGLSANG Jakob | 67 |
| 2 | STEENSEN André | 65 |
| 3 | MØRKØV Michael | 71 |
| 4 | CHRISTENSEN Mads | 69 |
| 5 | VANDBORG Brian Bach | 75 |
| 8 | SØRENSEN Chris Anker | 64 |
| 9 | MORTENSEN Martin | 70 |
| 11 | RASMUSSEN Alex | 88 |
| 13 | VALGREN Michael | 71 |
| 14 | JUUL-JENSEN Christopher | 73 |
| 16 | GULDHAMMER Rasmus | 66 |
| 22 | AAEN JØRGENSEN Jonas | 63 |
| 45 | MADSEN Martin Toft | 67 |
| 47 | VINTHER Troels Rønning | 68 |