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 = 0.1 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GLIVAR Gal | 64 |
| 2 | COLNAR Aljaž | 63 |
| 3 | ŠPOLJAR Jaka | 73 |
| 5 | KRALJ Fabijan | 68 |
| 6 | HRIBAR Jernej | 60 |
| 7 | ZIHERL Luka | 74 |
| 9 | KOVAČ Štefan | 65 |
| 11 | CVJETIČANIN Maks | 75 |
| 12 | TOMŠIČ Dan Andrej | 69 |
| 15 | PISKULE Žiga | 56 |
| 16 | MAČEK Matic | 73 |