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 + 206
This means that on average for every extra kilogram weight a rider loses -2.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | YATES Jeremy | 73 |
| 2 | THURAU Björn | 73 |
| 4 | PANIZO Gregolry | 72 |
| 12 | NAZARET Magno | 65 |
| 14 | SEABRA Renato | 67 |
| 54 | SEPULVEDA Luis Fernando | 66 |
| 71 | MÉDICI Matías | 70 |
| 81 | GIL MARTINEZ Tomas Aurelio | 60 |
| 93 | AFFONSO Murilo | 63 |
| 94 | BORRAJO Alejandro Alberto | 76 |