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 - 12
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TAGLIANI Filippo | 70 |
| 2 | KUSZTOR Péter | 61 |
| 3 | SALZMANN Jodok | 72 |
| 4 | TYBOR Patrik | 72 |
| 6 | PELIKÁN János | 76 |
| 7 | FILUTÁS Viktor | 68 |
| 8 | KUZMIN Anton | 66 |
| 9 | NIKITIN Matvey | 61 |
| 11 | LUCHSHENKO Sergey | 63 |
| 14 | PAVLIČ Marko | 65 |
| 20 | FRIEDRICH Marco | 71 |
| 21 | CULLY Ján Andrej | 73 |
| 29 | SZARKA Gergely | 67 |
| 30 | TSOY Vladimir | 73 |
| 35 | SZEGHALMI Balint | 66 |
| 43 | PÁPAI Ádám | 76 |
| 47 | KRASNOV Leonid | 65 |