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 = -2.4 * weight + 216
This means that on average for every extra kilogram weight a rider loses -2.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BORRAJO Alejandro Alberto | 76 |
| 11 | NAZARET Magno | 65 |
| 28 | YATES Jeremy | 73 |
| 29 | SEABRA Renato | 67 |
| 30 | PANIZO Gregolry | 72 |
| 68 | GIL MARTINEZ Tomas Aurelio | 60 |
| 69 | AFFONSO Murilo | 63 |
| 70 | MÉDICI Matías | 70 |
| 90 | THURAU Björn | 73 |
| 112 | SEPULVEDA Luis Fernando | 66 |