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 = 0.2 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHWARZBACHER Matthias | 72 |
| 3 | ROMELE Alessandro | 71 |
| 5 | REMKHI Rudolf | 60 |
| 6 | NEGRENTE Mattia | 65 |
| 10 | BUTA Catalin | 68 |
| 11 | ESKEDAL Vetle Torin | 63 |
| 12 | STOLIĆ Mihajlo | 73 |
| 13 | RIŠKA Richard | 70 |
| 18 | MUSIALIK Jakub | 63 |
| 21 | PICIU Mattew-Denis | 64 |
| 30 | CRĂCIUNU Darius | 65 |
| 33 | SZÖLLŐSSY Ádám | 68 |
| 35 | GORITSCHNIG Marco | 58 |
| 37 | MÓRÉ-GOSSELIN Olivier | 72 |
| 40 | KATO Cristian-Eduard | 77 |