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 + 53
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KIRSIPUU Jaan | 80 |
| 2 | TAMOURIDIS Ioannis | 70 |
| 3 | FLAKSIS Andžs | 79 |
| 5 | STEVIĆ Ivan | 66 |
| 6 | KROTKÝ Rostislav | 73 |
| 8 | ŠIŠKEVIČIUS Evaldas | 80 |
| 12 | OJAVEE Mart | 80 |
| 14 | LIEPIŅŠ Emīls | 67 |
| 15 | JOVANOVIĆ Nebojša | 60 |
| 19 | KANGERT Tanel | 65 |
| 35 | SKUJIŅŠ Toms | 70 |
| 36 | BĒCIS Armands | 82 |
| 88 | PÜTSEP Erki | 69 |