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 = 0.6 * weight - 30
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TRATNIK Jan | 67 |
| 2 | MOHORIČ Matej | 71 |
| 3 | POLANC Jan | 62 |
| 4 | GOVEKAR Matevž | 73 |
| 6 | PAVLIČ Marko | 65 |
| 7 | GLIVAR Gal | 64 |
| 8 | KOREN Kristijan | 72 |
| 9 | SKOK Anže | 73 |
| 10 | ŠPOLJAR Jaka | 73 |
| 12 | ZIHERL Luka | 74 |
| 13 | MURN Boštjan | 77 |
| 14 | MAČEK Matic | 73 |
| 16 | TOMŠIČ Dan Andrej | 69 |
| 18 | CVJETIČANIN Maks | 75 |
| 19 | KRALJ Fabijan | 68 |