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 = 0.2 * weight - 8
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CARBEL Michael | 73 |
| 2 | STOKBRO Andreas | 70 |
| 3 | PEDERSEN Casper | 71 |
| 4 | WALLIN Rasmus Bøgh | 78 |
| 5 | HONORÉ Mikkel Frølich | 68 |
| 6 | SALBY Alexander | 68 |
| 7 | LARSEN Niklas | 74 |
| 8 | KRIGBAUM Mathias | 79 |
| 9 | GREGAARD Jonas | 66 |
| 10 | ASGREEN Kasper | 75 |
| 11 | NORSGAARD Mathias | 88 |
| 12 | RODENBERG Frederik | 73 |
| 13 | LISSON Christoffer | 73 |