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 = -1.1 * weight + 106
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CADAMURO Simone | 78 |
| 3 | DRUCKER Jempy | 75 |
| 4 | MEEUSEN Tom | 62 |
| 9 | KOHUT Sławomir | 65 |
| 13 | PAUWELS Kevin | 60 |
| 28 | ROGINA Radoslav | 70 |
| 30 | RATTI Eddy | 64 |
| 31 | JOVANOVIĆ Nebojša | 60 |
| 32 | MARIN Matej | 67 |
| 33 | RUBIANO Miguel Angel | 58 |
| 34 | KVASINA Matija | 72 |
| 46 | BRONIŠ Roman | 74 |
| 50 | ĐURASEK Kristijan | 56 |
| 54 | TOMIĆ Marko | 79 |
| 57 | SAGAN Juraj | 65 |
| 69 | HRISTOV Stefan Koychev | 57 |
| 87 | SLAGTER Tom-Jelte | 57 |