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 = -0.8 * weight + 68
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WÜRTZ SCHMIDT Mads | 70 |
| 2 | KRAGH ANDERSEN Søren | 73 |
| 4 | KRIGBAUM Mathias | 79 |
| 5 | FOLSACH Casper | 81 |
| 6 | ASGREEN Kasper | 75 |
| 7 | WANG Emil | 73 |
| 9 | LISSON Christoffer | 73 |
| 10 | PEDERSEN Casper | 71 |
| 13 | ZEUNER Frederik | 67 |
| 15 | LYHNE Daniel | 61 |
| 16 | GREGAARD Jonas | 66 |
| 19 | MUFF Frederik | 78 |
| 20 | WALLIN Rasmus Bøgh | 78 |
| 26 | RAHBEK Mads | 66 |
| 28 | MUNK Steffen | 67 |
| 30 | VINGEGAARD Jonas | 58 |