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 = 0.3 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CONTADOR Alberto | 61 |
| 2 | VALVERDE Alejandro | 61 |
| 3 | KWIATKOWSKI Michał | 68 |
| 4 | TROFIMOV Yuri | 59 |
| 5 | CUNEGO Damiano | 58 |
| 6 | PERAUD Jean-Christophe | 62 |
| 7 | NIEVE Mikel | 62 |
| 8 | EVANS Cadel | 64 |
| 9 | KREUZIGER Roman | 65 |
| 10 | LANDA Mikel | 61 |
| 11 | PINOT Thibaut | 63 |
| 12 | ARASHIRO Yukiya | 64 |
| 13 | SLAGTER Tom-Jelte | 57 |
| 14 | POELS Wout | 66 |
| 15 | SÁNCHEZ Samuel | 65 |