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 = 0.4 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOČEVAR Kristjan | 57 |
| 2 | ROMO Javier | 70 |
| 3 | GARCÍA PIERNA Raúl | 67 |
| 4 | VAN DER TUUK Danny | 64 |
| 5 | GLIVAR Gal | 64 |
| 6 | SKOK Anže | 73 |
| 8 | PAQUOT Tom | 70 |
| 9 | MEIN Thomas | 71 |
| 11 | POTOČKI Viktor | 58 |
| 13 | KUBIŠ Lukáš | 70 |
| 14 | MILAN Jonathan | 87 |
| 16 | OMRZEL Aljaž | 67 |
| 17 | ETXEBERRIA Josu | 65 |
| 18 | JARC Aljaž | 75 |
| 19 | HOPKINS Dylan | 74 |