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 - 52
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GREGAARD Jonas | 66 |
| 2 | RAHBEK Mads | 66 |
| 3 | KRAGH ANDERSEN Søren | 73 |
| 4 | KAMP Alexander | 74 |
| 6 | PEDERSEN Casper | 71 |
| 8 | ASGREEN Kasper | 75 |
| 9 | LISSON Christoffer | 73 |
| 13 | FOLSACH Casper | 81 |
| 21 | ZEUNER Frederik | 67 |
| 24 | MUFF Frederik | 78 |
| 27 | SCHULTZ Jesper | 60 |
| 35 | WALLIN Rasmus Bøgh | 78 |
| 41 | TOUDAL Emil | 72 |
| 51 | THOMSEN Kasper | 86 |