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 = 1.2 * weight - 29
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 12 | GIL MARTINEZ Tomas Aurelio | 60 |
| 18 | BORRAJO Alejandro Alberto | 76 |
| 31 | AFFONSO Murilo | 63 |
| 47 | YATES Jeremy | 73 |
| 58 | SEABRA Renato | 67 |
| 60 | PANIZO Gregolry | 72 |
| 68 | MÉDICI Matías | 70 |
| 69 | SEPULVEDA Luis Fernando | 66 |
| 88 | NAZARET Magno | 65 |
| 105 | THURAU Björn | 73 |