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 + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ONLEY Oscar | 62 |
| 2 | LAURANCE Axel | 66 |
| 3 | MILAN Jonathan | 87 |
| 4 | HEIDUK Kim | 70 |
| 5 | GLIVAR Gal | 64 |
| 7 | MARTÍN Alex | 60 |
| 8 | FANCELLU Alessandro | 62 |
| 9 | MIHOLJEVIĆ Fran | 72 |
| 10 | HOPKINS Dylan | 74 |
| 11 | CASTRILLO Pablo | 74 |
| 12 | SKOK Anže | 73 |
| 13 | JONES Taj | 82 |
| 14 | MACKELLAR Alastair | 69 |
| 16 | POMORSKI Michał | 76 |
| 19 | MAČEK Matic | 73 |
| 20 | DIVNIĆ Jovan | 64 |
| 22 | MAYRHOFER Marius | 70 |