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 * weight + 76
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VALGREN Michael | 71 |
| 2 | CARBEL Michael | 73 |
| 3 | MØRKØV Michael | 71 |
| 4 | GULDHAMMER Rasmus | 66 |
| 5 | MORTENSEN Martin | 70 |
| 7 | BRESCHEL Matti | 70 |
| 8 | KAMP Alexander | 74 |
| 9 | SØRENSEN Nicki | 71 |
| 10 | KLOSTERGAARD Kasper | 69 |
| 11 | VINJEBO Emil Mielke | 67 |
| 12 | CORT Magnus | 68 |
| 14 | LANDER Sebastian | 70 |
| 16 | HANSEN Jesper | 60 |
| 17 | SØRENSEN Chris Anker | 64 |
| 18 | MADSEN Martin Toft | 67 |