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 = -0.4 * weight + 36
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | UHLIG Henri | 69 |
| 2 | ÄRM Rait | 75 |
| 3 | ÅRNES Daniel | 80 |
| 4 | FORTIN Filippo | 78 |
| 6 | PAJUR Markus | 72 |
| 7 | SKJERPING Kristoffer | 71 |
| 10 | LAŠINIS Venantas | 69 |
| 11 | VAHTRA Norman | 85 |
| 12 | ŠTOČEK Matúš | 80 |
| 13 | LYCHOU Viktor | 78 |
| 14 | MUNK-OLSEN Oscar | 68 |
| 15 | LYHNE Daniel | 61 |
| 16 | GOLDSTEIN Edo | 61 |
| 18 | MÅRD Filip | 68 |
| 19 | MALMBERG Matias | 68 |