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 + 13
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KVASINA Matija | 72 |
| 2 | ROGINA Radoslav | 70 |
| 3 | RATTI Eddy | 64 |
| 4 | ĐURASEK Kristijan | 56 |
| 6 | JOVANOVIĆ Nebojša | 60 |
| 12 | MARIN Matej | 67 |
| 13 | RUBIANO Miguel Angel | 58 |
| 21 | BRONIŠ Roman | 74 |
| 23 | HRISTOV Stefan Koychev | 57 |
| 32 | TOMIĆ Marko | 79 |
| 35 | KOHUT Sławomir | 65 |
| 37 | CADAMURO Simone | 78 |
| 45 | PAUWELS Kevin | 60 |
| 46 | SAGAN Juraj | 65 |
| 56 | MEEUSEN Tom | 62 |
| 59 | SLAGTER Tom-Jelte | 57 |
| 63 | DRUCKER Jempy | 75 |