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 = -0.1 * weight + 20
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WÜRTZ SCHMIDT Mads | 70 |
| 2 | ASGREEN Kasper | 75 |
| 3 | WALLIN Rasmus Bøgh | 78 |
| 5 | EG Niklas | 60 |
| 6 | KRIGBAUM Mathias | 79 |
| 7 | LARSEN Niklas | 74 |
| 8 | NORSGAARD Mathias | 88 |
| 9 | VINJEBO Emil Mielke | 67 |
| 11 | LYHNE Daniel | 61 |
| 12 | LISSON Christoffer | 73 |
| 14 | KONGSTAD Tobias | 75 |
| 15 | WANG Emil | 73 |
| 16 | PEDERSEN Casper | 71 |
| 29 | ZEUNER Frederik | 67 |
| 30 | AASKOV PALLESEN Jeppe | 60 |
| 48 | JØRGENSEN Emil | 80 |