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 - 6
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CLARKE Hilton | 70 |
| 5 | ROLLIN Dominique | 83 |
| 6 | JONES Chris | 64 |
| 7 | O'LOUGHLIN David | 68 |
| 8 | LAGUTIN Sergey | 68 |
| 9 | BAZZANA Alessandro | 63.5 |
| 13 | FRATTINI Davide | 63 |
| 13 | BORRAJO Alejandro Alberto | 76 |
| 13 | ROUTLEY Will | 69 |
| 13 | BELL Zach | 75 |
| 13 | LEA Bobby | 77 |
| 13 | WHITE Matthew | 72 |
| 13 | POWER Ciarán | 68 |
| 65 | GAIMON Phillip | 67 |
| 66 | TUFT Svein | 77 |