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 = 0.5 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KOSTYUK Denys | 66 |
| 4 | ERMETI Giairo | 60 |
| 5 | SELLA Emanuele | 54 |
| 8 | MUGERLI Matej | 68 |
| 9 | LORENZETTO Mirco | 71 |
| 10 | STRGAR Matic | 62 |
| 14 | BRAJKOVIČ Janez | 60 |
| 16 | ZAUGG Oliver | 58 |
| 19 | FOTHEN Thomas | 71 |
| 22 | KVASINA Matija | 72 |
| 25 | LAGUTIN Sergey | 68 |